{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "execution": {},
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/fMRI/load_hcp_task_with_behaviour.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a> &nbsp; <a href=\"https://kaggle.com/kernels/welcome?src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/projects/fMRI/load_hcp_task_with_behaviour.ipynb\" target=\"_parent\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Open in Kaggle\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "# Load HCP parcellated task data \n",
    "## (version with Behavioural Data)\n",
    "\n",
    "The HCP dataset comprises task-based fMRI from a large sample of human subjects. The NMA-curated dataset includes time series data that has been preprocessed and spatially-downsampled by aggregating within 360 regions of interest.\n",
    "\n",
    "In order to use this dataset, please electronically sign the HCP data use terms at [ConnectomeDB](https://db.humanconnectome.org). Instructions for this are on pp. 24-25 of the [HCP Reference Manual](https://www.humanconnectome.org/storage/app/media/documentation/s1200/HCP_S1200_Release_Reference_Manual.pdf).\n",
    "\n",
    "In this notebook, NMA provides code for downloading the data and doing some basic visualisation and processing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# @title Install dependencies\n",
    "!pip install nilearn --quiet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "execution": {}
   },
   "outputs": [],
   "source": [
    "#@title Figure settings\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# The data shared for NMA projects is a subset of the full HCP dataset\n",
    "N_SUBJECTS = 100\n",
    "\n",
    "# The data have already been aggregated into ROIs from the Glasser parcellation\n",
    "N_PARCELS = 360\n",
    "\n",
    "# The acquisition parameters for all tasks were identical\n",
    "TR = 0.72  # Time resolution, in seconds\n",
    "\n",
    "# The parcels are matched across hemispheres with the same order\n",
    "HEMIS = [\"Right\", \"Left\"]\n",
    "\n",
    "# Each experiment was repeated twice in each subject\n",
    "RUNS   = ['LR','RL']\n",
    "N_RUNS = 2\n",
    "\n",
    "# There are 7 tasks. Each has a number of 'conditions'\n",
    "# TIP: look inside the data folders for more fine-graned conditions\n",
    "\n",
    "EXPERIMENTS = {\n",
    "    'MOTOR'      : {'cond':['lf','rf','lh','rh','t','cue']},\n",
    "    'WM'         : {'cond':['0bk_body','0bk_faces','0bk_places','0bk_tools','2bk_body','2bk_faces','2bk_places','2bk_tools']},\n",
    "    'EMOTION'    : {'cond':['fear','neut']},\n",
    "    'GAMBLING'   : {'cond':['loss','win']},\n",
    "    'LANGUAGE'   : {'cond':['math','story']},\n",
    "    'RELATIONAL' : {'cond':['match','relation']},\n",
    "    'SOCIAL'     : {'cond':['ment','rnd']}\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "> For a detailed description of the tasks have a look pages 45-54 of the [HCP reference manual](https://www.humanconnectome.org/storage/app/media/documentation/s1200/HCP_S1200_Release_Reference_Manual.pdf)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "# Downloading data\n",
    "\n",
    "The task data are shared in different files, but they will unpack into the same directory structure.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# @title Download data file\n",
    "import os, requests\n",
    "\n",
    "fname = \"hcp_task.tgz\"\n",
    "url = \"https://osf.io/2y3fw/download\"\n",
    "\n",
    "if not os.path.isfile(fname):\n",
    "  try:\n",
    "    r = requests.get(url)\n",
    "  except requests.ConnectionError:\n",
    "    print(\"!!! Failed to download data !!!\")\n",
    "  else:\n",
    "    if r.status_code != requests.codes.ok:\n",
    "      print(\"!!! Failed to download data !!!\")\n",
    "    else:\n",
    "      with open(fname, \"wb\") as fid:\n",
    "        fid.write(r.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# The download cells will store the data in nested directories starting here:\n",
    "HCP_DIR = \"./hcp_task\"\n",
    "\n",
    "# importing the \"tarfile\" module\n",
    "import tarfile\n",
    "\n",
    "# open file\n",
    "with tarfile.open(fname) as tfile:\n",
    "  # extracting file\n",
    "  tfile.extractall('.')\n",
    "\n",
    "subjects = np.loadtxt(os.path.join(HCP_DIR, 'subjects_list.txt'), dtype='str')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "## Understanding the folder organisation\n",
    "\n",
    "The data folder has the following organisation:\n",
    "\n",
    "- hcp\n",
    "  - regions.npy (information on the brain parcellation)\n",
    "  - subjects_list.txt (list of subject IDs)\n",
    "  - subjects (main data folder)\n",
    "    - [subjectID] (subject-specific subfolder)\n",
    "      - EXPERIMENT (one folder per experiment)\n",
    "        - RUN (one folder per run)\n",
    "          - data.npy (the parcellated time series data)\n",
    "          - EVs (EVs folder)\n",
    "            - [ev1.txt] (one file per condition)\n",
    "            - [ev2.txt]\n",
    "            - Stats.txt (behavioural data [where available] - averaged per run)\n",
    "            - Sync.txt (ignore this file)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "## Loading region information\n",
    "\n",
    "Downloading this dataset will create the `regions.npy` file, which contains the region name and network assignment for each parcel.\n",
    "\n",
    "Detailed information about the name used for each region is provided [in the Supplement](https://static-content.springer.com/esm/art%3A10.1038%2Fnature18933/MediaObjects/41586_2016_BFnature18933_MOESM330_ESM.pdf) to [Glasser et al. 2016](https://www.nature.com/articles/nature18933).\n",
    "\n",
    "Information about the network parcellation is provided in [Ji et al, 2019](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289683/).\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [],
   "source": [
    "regions = np.load(f\"{HCP_DIR}/regions.npy\").T\n",
    "region_info = dict(\n",
    "    name=regions[0].tolist(),\n",
    "    network=regions[1],\n",
    "    hemi=['Right']*int(N_PARCELS/2) + ['Left']*int(N_PARCELS/2),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "# Help functions\n",
    "\n",
    "We provide two helper functions: one for loading the time series from a single suject and a single run, and one for loading an EV file for each task. \n",
    "\n",
    "An EV file (EV:Explanatory Variable) describes the task experiment in terms of stimulus onset, duration, and amplitude. These can be used to model the task time series data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [],
   "source": [
    "def load_single_timeseries(subject, experiment, run, remove_mean=True):\n",
    "  \"\"\"Load timeseries data for a single subject and single run.\n",
    "\n",
    "  Args:\n",
    "    subject (str):      subject ID to load\n",
    "    experiment (str):   Name of experiment\n",
    "    run (int):          (0 or 1)\n",
    "    remove_mean (bool): If True, subtract the parcel-wise mean (typically the mean BOLD signal is not of interest)\n",
    "\n",
    "  Returns\n",
    "    ts (n_parcel x n_timepoint array): Array of BOLD data values\n",
    "\n",
    "  \"\"\"\n",
    "  bold_run  = RUNS[run]\n",
    "  bold_path = f\"{HCP_DIR}/subjects/{subject}/{experiment}/tfMRI_{experiment}_{bold_run}\"\n",
    "  bold_file = \"data.npy\"\n",
    "  ts = np.load(f\"{bold_path}/{bold_file}\")\n",
    "  if remove_mean:\n",
    "    ts -= ts.mean(axis=1, keepdims=True)\n",
    "  return ts\n",
    "\n",
    "\n",
    "def load_evs(subject, experiment, run):\n",
    "  \"\"\"Load EVs (explanatory variables) data for one task experiment.\n",
    "\n",
    "  Args:\n",
    "    subject (str): subject ID to load\n",
    "    experiment (str) : Name of experiment\n",
    "    run (int): 0 or 1\n",
    "\n",
    "  Returns\n",
    "    evs (list of lists): A list of frames associated with each condition\n",
    "\n",
    "  \"\"\"\n",
    "  frames_list = []\n",
    "  task_key = f'tfMRI_{experiment}_{RUNS[run]}'\n",
    "  for cond in EXPERIMENTS[experiment]['cond']:\n",
    "    ev_file  = f\"{HCP_DIR}/subjects/{subject}/{experiment}/{task_key}/EVs/{cond}.txt\"\n",
    "    ev_array = np.loadtxt(ev_file, ndmin=2, unpack=True)\n",
    "    ev       = dict(zip([\"onset\", \"duration\", \"amplitude\"], ev_array))\n",
    "    # Determine when trial starts, rounded down\n",
    "    start = np.floor(ev[\"onset\"] / TR).astype(int)\n",
    "    # Use trial duration to determine how many frames to include for trial\n",
    "    duration = np.ceil(ev[\"duration\"] / TR).astype(int)\n",
    "    # Take the range of frames that correspond to this specific trial\n",
    "    frames = [s + np.arange(0, d) for s, d in zip(start, duration)]\n",
    "    frames_list.append(frames)\n",
    "\n",
    "  return frames_list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "# Example run\n",
    "\n",
    "Let's load the timeseries data for the MOTOR experiment from a single subject and a single run"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(360, 284)\n"
     ]
    }
   ],
   "source": [
    "my_exp = 'MOTOR'\n",
    "my_subj = subjects[1]\n",
    "my_run = 1\n",
    "\n",
    "data = load_single_timeseries(subject=my_subj,\n",
    "                              experiment=my_exp,\n",
    "                              run=my_run,\n",
    "                              remove_mean=True)\n",
    "print(data.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "As you can see the time series data contains 284 time points in 360 regions of interest (ROIs).\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "Now in order to understand how to model these data, we need to relate the time series to the experimental manipulation. This is described by the EV files. Let us load the EVs for this experiment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [],
   "source": [
    "evs = load_evs(subject=my_subj, experiment=my_exp, run=my_run)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "For the motor task, this evs variable contains a list of 5 arrays corresponding to the 5 conditions. \n",
    "\n",
    "Now let's use these evs to compare the average activity during the left foot ('lf') and right foot ('rf') conditions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# we need a little function that averages all frames from any given condition\n",
    "def average_frames(data, evs, experiment, cond):\n",
    "  idx = EXPERIMENTS[experiment]['cond'].index(cond)\n",
    "  return np.mean(np.concatenate([np.mean(data[:, evs[idx][i]], axis=1, keepdims=True) for i in range(len(evs[idx]))], axis=-1), axis=1)\n",
    "\n",
    "\n",
    "lf_activity = average_frames(data, evs, my_exp, 'lf')\n",
    "rf_activity = average_frames(data, evs, my_exp, 'rf')\n",
    "contrast = lf_activity - rf_activity  # difference between left and right hand movement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 413,
       "width": 558
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot activity level in each ROI for both conditions\n",
    "plt.plot(lf_activity,label='left foot')\n",
    "plt.plot(rf_activity,label='right foot')\n",
    "plt.xlabel('ROI')\n",
    "plt.ylabel('activity')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "Now let's plot these activity vectors. We will also make use of the ROI names to find out which brain areas show highest activity in these conditions. But since there are so many areas, we will group them by network.\n",
    "\n",
    "A powerful tool for organising and plotting this data is the combination of pandas and seaborn. Below is an example where we use pandas to create a table for the activity data and we use seaborn oto visualise it.\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 413,
       "width": 558
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame({'lf_activity' : lf_activity,\n",
    "                   'rf_activity' : rf_activity,\n",
    "                   'network' : region_info['network'],\n",
    "                   'hemi' : region_info['hemi']})\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2)\n",
    "sns.barplot(y='network', x='lf_activity', data=df, hue='hemi',ax=ax1)\n",
    "sns.barplot(y='network', x='rf_activity', data=df, hue='hemi',ax=ax2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "You should be able to notice that for the somatosensory network, brain activity in the right hemi is higher for the left foot movement and vice versa for the left hemi and right foot. But this may be subtle at the single subject/session level (these are quick 3-4min scans). \n",
    "\n",
    "\n",
    "Let us boost thee stats by averaging across all subjects and runs. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [],
   "source": [
    "group_contrast = 0\n",
    "for s in subjects:\n",
    "  for r in [0, 1]:\n",
    "    data = load_single_timeseries(subject=s, experiment=my_exp,\n",
    "                                  run=r, remove_mean=True)\n",
    "    evs = load_evs(subject=s, experiment=my_exp,run=r)\n",
    "\n",
    "    lf_activity = average_frames(data, evs, my_exp, 'lf')\n",
    "    rf_activity = average_frames(data, evs, my_exp, 'rf')\n",
    "\n",
    "    contrast = lf_activity - rf_activity\n",
    "    group_contrast += contrast\n",
    "\n",
    "group_contrast /= (len(subjects)*2)  # remember: 2 sessions per subject"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 413,
       "width": 558
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame({'contrast' : group_contrast,\n",
    "                   'network' : region_info['network'],\n",
    "                   'hemi' : region_info['hemi']\n",
    "                   })\n",
    "# we will plot the left foot minus right foot contrast so we only need one plot\n",
    "plt.figure()\n",
    "sns.barplot(y='network', x='contrast', data=df, hue='hemi')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "# Visualising the results on a brain\n",
    "\n",
    "Finally, we will visualise these resuts on the cortical surface of an average brain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# @title NMA provides an atlas. Run this cell to download it\n",
    "import os, requests\n",
    "\n",
    "# NMA provides an atlas\n",
    "fname = f\"{HCP_DIR}/atlas.npz\"\n",
    "url = \"https://osf.io/j5kuc/download\"\n",
    "\n",
    "if not os.path.isfile(fname):\n",
    "  try:\n",
    "    r = requests.get(url)\n",
    "  except requests.ConnectionError:\n",
    "    print(\"!!! Failed to download data !!!\")\n",
    "  else:\n",
    "    if r.status_code != requests.codes.ok:\n",
    "      print(\"!!! Failed to download data !!!\")\n",
    "    else:\n",
    "      with open(fname, \"wb\") as fid:\n",
    "        fid.write(r.content)\n",
    "\n",
    "with np.load(fname) as dobj:\n",
    "  atlas = dict(**dobj)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [
    {
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n=t(&quot;./lib/is-bn&quot;);e.exports=function(t){return Array.isArray(t)&amp;&amp;2===t.length&amp;&amp;n(t[0])&amp;&amp;n(t[1])}},{&quot;./lib/is-bn&quot;:27}],24:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;bn.js&quot;);e.exports=function(t){return t.cmp(new n(0))}},{&quot;bn.js&quot;:37}],25:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./bn-sign&quot;);e.exports=function(t){var e=t.length,r=t.words,i=0;if(1===e)i=r[0];else if(2===e)i=r[0]+67108864*r[1];else for(var a=0;a&lt;e;a++){var o=r[a];i+=o*Math.pow(67108864,a)}return n(t)*i}},{&quot;./bn-sign&quot;:24}],26:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;double-bits&quot;),i=t(&quot;bit-twiddle&quot;).countTrailingZeros;e.exports=function(t){var e=i(n.lo(t));if(e&lt;32)return e;var r=i(n.hi(t));if(r&gt;20)return 52;return r+32}},{&quot;bit-twiddle&quot;:36,&quot;double-bits&quot;:84}],27:[function(t,e,r){&quot;use strict&quot;;t(&quot;bn.js&quot;);e.exports=function(t){return t&amp;&amp;&quot;object&quot;==typeof t&amp;&amp;Boolean(t.words)}},{&quot;bn.js&quot;:37}],28:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;bn.js&quot;),i=t(&quot;double-bits&quot;);e.exports=function(t){var e=i.exponent(t);return e&lt;52?new n(t):new n(t*Math.pow(2,52-e)).ushln(e-52)}},{&quot;bn.js&quot;:37,&quot;double-bits&quot;:84}],29:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./num-to-bn&quot;),i=t(&quot;./bn-sign&quot;);e.exports=function(t,e){var r=i(t),a=i(e);if(0===r)return[n(0),n(1)];if(0===a)return[n(0),n(0)];a&lt;0&amp;&amp;(t=t.neg(),e=e.neg());var o=t.gcd(e);if(o.cmpn(1))return[t.div(o),e.div(o)];return[t,e]}},{&quot;./bn-sign&quot;:24,&quot;./num-to-bn&quot;:28}],30:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;bn.js&quot;);e.exports=function(t){return new n(t)}},{&quot;bn.js&quot;:37}],31:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./lib/rationalize&quot;);e.exports=function(t,e){return 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r=e,n=e,i=7;for(r&gt;&gt;&gt;=1;r;r&gt;&gt;&gt;=1)n&lt;&lt;=1,n|=1&amp;r,--i;t[e]=n&lt;&lt;i&amp;255}}(i),r.reverse=function(t){return i[255&amp;t]&lt;&lt;24|i[t&gt;&gt;&gt;8&amp;255]&lt;&lt;16|i[t&gt;&gt;&gt;16&amp;255]&lt;&lt;8|i[t&gt;&gt;&gt;24&amp;255]},r.interleave2=function(t,e){return(t=1431655765&amp;((t=858993459&amp;((t=252645135&amp;((t=16711935&amp;((t&amp;=65535)|t&lt;&lt;8))|t&lt;&lt;4))|t&lt;&lt;2))|t&lt;&lt;1))|(e=1431655765&amp;((e=858993459&amp;((e=252645135&amp;((e=16711935&amp;((e&amp;=65535)|e&lt;&lt;8))|e&lt;&lt;4))|e&lt;&lt;2))|e&lt;&lt;1))&lt;&lt;1},r.deinterleave2=function(t,e){return(t=65535&amp;((t=16711935&amp;((t=252645135&amp;((t=858993459&amp;((t=t&gt;&gt;&gt;e&amp;1431655765)|t&gt;&gt;&gt;1))|t&gt;&gt;&gt;2))|t&gt;&gt;&gt;4))|t&gt;&gt;&gt;16))&lt;&lt;16&gt;&gt;16},r.interleave3=function(t,e,r){return t=1227133513&amp;((t=3272356035&amp;((t=251719695&amp;((t=4278190335&amp;((t&amp;=1023)|t&lt;&lt;16))|t&lt;&lt;8))|t&lt;&lt;4))|t&lt;&lt;2),(t|=(e=1227133513&amp;((e=3272356035&amp;((e=251719695&amp;((e=4278190335&amp;((e&amp;=1023)|e&lt;&lt;16))|e&lt;&lt;8))|e&lt;&lt;4))|e&lt;&lt;2))&lt;&lt;1)|(r=1227133513&amp;((r=3272356035&amp;((r=251719695&amp;((r=4278190335&amp;((r&amp;=1023)|r&lt;&lt;16))|r&lt;&lt;8))|r&lt;&lt;4))|r&lt;&lt;2))&lt;&lt;2},r.deinterleave3=function(t,e){return(t=1023&amp;((t=4278190335&amp;((t=251719695&amp;((t=3272356035&amp;((t=t&gt;&gt;&gt;e&amp;1227133513)|t&gt;&gt;&gt;2))|t&gt;&gt;&gt;4))|t&gt;&gt;&gt;8))|t&gt;&gt;&gt;16))&lt;&lt;22&gt;&gt;22},r.nextCombination=function(t){var e=t|t-1;return e+1|(~e&amp;-~e)-1&gt;&gt;&gt;n(t)+1}},{}],37:[function(t,e,r){!function(e,r){&quot;use strict&quot;;function n(t,e){if(!t)throw new Error(e||&quot;Assertion failed&quot;)}function i(t,e){t.super_=e;var r=function(){};r.prototype=e.prototype,t.prototype=new 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n,i,a=0;for(r=t.length-6,n=0;r&gt;=e;r-=6)i=s(t,r,r+6),this.words[n]|=i&lt;&lt;a&amp;67108863,this.words[n+1]|=i&gt;&gt;&gt;26-a&amp;4194303,(a+=24)&gt;=26&amp;&amp;(a-=26,n++);r+6!==e&amp;&amp;(i=s(t,e,r+6),this.words[n]|=i&lt;&lt;a&amp;67108863,this.words[n+1]|=i&gt;&gt;&gt;26-a&amp;4194303),this.strip()},a.prototype._parseBase=function(t,e,r){this.words=[0],this.length=1;for(var n=0,i=1;i&lt;=67108863;i*=e)n++;n--,i=i/e|0;for(var a=t.length-r,o=a%n,s=Math.min(a,a-o)+r,u=0,c=r;c&lt;s;c+=n)u=l(t,c,c+n,e),this.imuln(i),this.words[0]+u&lt;67108864?this.words[0]+=u:this._iaddn(u);if(0!==o){var f=1;for(u=l(t,c,t.length,e),c=0;c&lt;o;c++)f*=e;this.imuln(f),this.words[0]+u&lt;67108864?this.words[0]+=u:this._iaddn(u)}},a.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e&lt;this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},a.prototype.clone=function(){var t=new a(null);return this.copy(t),t},a.prototype._expand=function(t){for(;this.length&lt;t;)this.words[this.length++]=0;return this},a.prototype.strip=function(){for(;this.length&gt;1&amp;&amp;0===this.words[this.length-1];)this.length--;return this._normSign()},a.prototype._normSign=function(){return 1===this.length&amp;&amp;0===this.words[0]&amp;&amp;(this.negative=0),this},a.prototype.inspect=function(){return(this.red?&quot;&lt;BN-R: &quot;:&quot;&lt;BN: &quot;)+this.toString(16)+&quot;&gt;&quot;};var u=[&quot;&quot;,&quot;0&quot;,&quot;00&quot;,&quot;000&quot;,&quot;0000&quot;,&quot;00000&quot;,&quot;000000&quot;,&quot;0000000&quot;,&quot;00000000&quot;,&quot;000000000&quot;,&quot;0000000000&quot;,&quot;00000000000&quot;,&quot;000000000000&quot;,&quot;0000000000000&quot;,&quot;00000000000000&quot;,&quot;000000000000000&quot;,&quot;0000000000000000&quot;,&quot;00000000000000000&quot;,&quot;000000000000000000&quot;,&quot;0000000000000000000&quot;,&quot;00000000000000000000&quot;,&quot;000000000000000000000&quot;,&quot;0000000000000000000000&quot;,&quot;00000000000000000000000&quot;,&quot;000000000000000000000000&quot;,&quot;0000000000000000000000000&quot;],c=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],f=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function h(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&amp;o,l=o/67108864|0;r.words[0]=s;for(var u=1;u&lt;n;u++){for(var c=l&gt;&gt;&gt;26,f=67108863&amp;l,h=Math.min(u,e.length-1),d=Math.max(0,u-t.length+1);d&lt;=h;d++){var p=u-d|0;c+=(o=(i=0|t.words[p])*(a=0|e.words[d])+f)/67108864|0,f=67108863&amp;o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||&quot;hex&quot;===t){r=&quot;&quot;;for(var i=0,a=0,o=0;o&lt;this.length;o++){var s=this.words[o],l=(16777215&amp;(s&lt;&lt;i|a)).toString(16);r=0!==(a=s&gt;&gt;&gt;24-i&amp;16777215)||o!==this.length-1?u[6-l.length]+l+r:l+r,(i+=2)&gt;=26&amp;&amp;(i-=26,o--)}for(0!==a&amp;&amp;(r=a.toString(16)+r);r.length%e!=0;)r=&quot;0&quot;+r;return 0!==this.negative&amp;&amp;(r=&quot;-&quot;+r),r}if(t===(0|t)&amp;&amp;t&gt;=2&amp;&amp;t&lt;=36){var h=c[t],d=f[t];r=&quot;&quot;;var p=this.clone();for(p.negative=0;!p.isZero();){var g=p.modn(d).toString(t);r=(p=p.idivn(d)).isZero()?g+r:u[h-g.length]+g+r}for(this.isZero()&amp;&amp;(r=&quot;0&quot;+r);r.length%e!=0;)r=&quot;0&quot;+r;return 0!==this.negative&amp;&amp;(r=&quot;-&quot;+r),r}n(!1,&quot;Base should be between 2 and 36&quot;)},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&amp;&amp;1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length&gt;2&amp;&amp;n(!1,&quot;Number can only safely store up to 53 bits&quot;),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(&quot;undefined&quot;!=typeof o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i&lt;=a,&quot;byte array longer than desired length&quot;),n(a&gt;0,&quot;Requested array length &lt;= 0&quot;),this.strip();var o,s,l=&quot;le&quot;===e,u=new t(a),c=this.clone();if(l){for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[s]=o;for(;s&lt;a;s++)u[s]=0}else{for(s=0;s&lt;a-i;s++)u[s]=0;for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[a-s-1]=o}return u},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e&gt;=4096&amp;&amp;(r+=13,e&gt;&gt;&gt;=13),e&gt;=64&amp;&amp;(r+=7,e&gt;&gt;&gt;=7),e&gt;=8&amp;&amp;(r+=4,e&gt;&gt;&gt;=4),e&gt;=2&amp;&amp;(r+=2,e&gt;&gt;&gt;=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&amp;e)&amp;&amp;(r+=13,e&gt;&gt;&gt;=13),0==(127&amp;e)&amp;&amp;(r+=7,e&gt;&gt;&gt;=7),0==(15&amp;e)&amp;&amp;(r+=4,e&gt;&gt;&gt;=4),0==(3&amp;e)&amp;&amp;(r+=2,e&gt;&gt;&gt;=2),0==(1&amp;e)&amp;&amp;r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e&lt;this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length&lt;t.length;)this.words[this.length++]=0;for(var e=0;e&lt;t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length&gt;t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length&gt;t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length&gt;t.length?t:this;for(var r=0;r&lt;e.length;r++)this.words[r]=this.words[r]&amp;t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length&gt;t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length&gt;t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length&gt;t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n&lt;r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n&lt;e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length&gt;t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length&gt;t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r&gt;0&amp;&amp;e--;for(var i=0;i&lt;e;i++)this.words[i]=67108863&amp;~this.words[i];return r&gt;0&amp;&amp;(this.words[i]=~this.words[i]&amp;67108863&gt;&gt;26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1&lt;&lt;i:this.words[r]&amp;~(1&lt;&lt;i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&amp;&amp;0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&amp;&amp;0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length&gt;t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a&lt;n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&amp;e,i=e&gt;&gt;&gt;26;for(;0!==i&amp;&amp;a&lt;r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&amp;e,i=e&gt;&gt;&gt;26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a&lt;r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&amp;&amp;0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&amp;&amp;0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length&gt;t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i&gt;0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o&lt;n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)&gt;&gt;26,this.words[o]=67108863&amp;e;for(;0!==a&amp;&amp;o&lt;r.length;o++)a=(e=(0|r.words[o])+a)&gt;&gt;26,this.words[o]=67108863&amp;e;if(0===a&amp;&amp;o&lt;r.length&amp;&amp;r!==this)for(;o&lt;r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&amp;&amp;(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&amp;c,h=c&gt;&gt;&gt;13,d=0|o[1],p=8191&amp;d,g=d&gt;&gt;&gt;13,v=0|o[2],m=8191&amp;v,y=v&gt;&gt;&gt;13,b=0|o[3],x=8191&amp;b,_=b&gt;&gt;&gt;13,w=0|o[4],A=8191&amp;w,M=w&gt;&gt;&gt;13,T=0|o[5],k=8191&amp;T,E=T&gt;&gt;&gt;13,L=0|o[6],S=8191&amp;L,C=L&gt;&gt;&gt;13,O=0|o[7],R=8191&amp;O,P=O&gt;&gt;&gt;13,z=0|o[8],I=8191&amp;z,N=z&gt;&gt;&gt;13,D=0|o[9],F=8191&amp;D,j=D&gt;&gt;&gt;13,B=0|s[0],U=8191&amp;B,V=B&gt;&gt;&gt;13,H=0|s[1],q=8191&amp;H,G=H&gt;&gt;&gt;13,X=0|s[2],W=8191&amp;X,Y=X&gt;&gt;&gt;13,Z=0|s[3],Q=8191&amp;Z,$=Z&gt;&gt;&gt;13,J=0|s[4],K=8191&amp;J,tt=J&gt;&gt;&gt;13,et=0|s[5],rt=8191&amp;et,nt=et&gt;&gt;&gt;13,it=0|s[6],at=8191&amp;it,ot=it&gt;&gt;&gt;13,st=0|s[7],lt=8191&amp;st,ut=st&gt;&gt;&gt;13,ct=0|s[8],ft=8191&amp;ct,ht=ct&gt;&gt;&gt;13,dt=0|s[9],pt=8191&amp;dt,gt=dt&gt;&gt;&gt;13;r.negative=t.negative^e.negative,r.length=19;var vt=(u+(n=Math.imul(f,U))|0)+((8191&amp;(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))&lt;&lt;13)|0;u=((a=Math.imul(h,V))+(i&gt;&gt;&gt;13)|0)+(vt&gt;&gt;&gt;26)|0,vt&amp;=67108863,n=Math.imul(p,U),i=(i=Math.imul(p,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var mt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,G)|0)+(i&gt;&gt;&gt;13)|0)+(mt&gt;&gt;&gt;26)|0,mt&amp;=67108863,n=Math.imul(m,U),i=(i=Math.imul(m,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=(i=i+Math.imul(p,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(u+(n=n+Math.imul(f,W)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,Y)|0)+Math.imul(h,W)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,Y)|0)+(i&gt;&gt;&gt;13)|0)+(yt&gt;&gt;&gt;26)|0,yt&amp;=67108863,n=Math.imul(x,U),i=(i=Math.imul(x,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(m,q)|0,i=(i=i+Math.imul(m,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=(i=i+Math.imul(p,Y)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,Y)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,$)|0)+Math.imul(h,Q)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,$)|0)+(i&gt;&gt;&gt;13)|0)+(bt&gt;&gt;&gt;26)|0,bt&amp;=67108863,n=Math.imul(A,U),i=(i=Math.imul(A,V))+Math.imul(M,U)|0,a=Math.imul(M,V),n=n+Math.imul(x,q)|0,i=(i=i+Math.imul(x,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(m,W)|0,i=(i=i+Math.imul(m,Y)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,Y)|0,n=n+Math.imul(p,Q)|0,i=(i=i+Math.imul(p,$)|0)+Math.imul(g,Q)|0,a=a+Math.imul(g,$)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,K)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,tt)|0)+(i&gt;&gt;&gt;13)|0)+(xt&gt;&gt;&gt;26)|0,xt&amp;=67108863,n=Math.imul(k,U),i=(i=Math.imul(k,V))+Math.imul(E,U)|0,a=Math.imul(E,V),n=n+Math.imul(A,q)|0,i=(i=i+Math.imul(A,G)|0)+Math.imul(M,q)|0,a=a+Math.imul(M,G)|0,n=n+Math.imul(x,W)|0,i=(i=i+Math.imul(x,Y)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Y)|0,n=n+Math.imul(m,Q)|0,i=(i=i+Math.imul(m,$)|0)+Math.imul(y,Q)|0,a=a+Math.imul(y,$)|0,n=n+Math.imul(p,K)|0,i=(i=i+Math.imul(p,tt)|0)+Math.imul(g,K)|0,a=a+Math.imul(g,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,nt)|0)+(i&gt;&gt;&gt;13)|0)+(_t&gt;&gt;&gt;26)|0,_t&amp;=67108863,n=Math.imul(S,U),i=(i=Math.imul(S,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(k,q)|0,i=(i=i+Math.imul(k,G)|0)+Math.imul(E,q)|0,a=a+Math.imul(E,G)|0,n=n+Math.imul(A,W)|0,i=(i=i+Math.imul(A,Y)|0)+Math.imul(M,W)|0,a=a+Math.imul(M,Y)|0,n=n+Math.imul(x,Q)|0,i=(i=i+Math.imul(x,$)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,$)|0,n=n+Math.imul(m,K)|0,i=(i=i+Math.imul(m,tt)|0)+Math.imul(y,K)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=(i=i+Math.imul(p,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,ot)|0)+(i&gt;&gt;&gt;13)|0)+(wt&gt;&gt;&gt;26)|0,wt&amp;=67108863,n=Math.imul(R,U),i=(i=Math.imul(R,V))+Math.imul(P,U)|0,a=Math.imul(P,V),n=n+Math.imul(S,q)|0,i=(i=i+Math.imul(S,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(k,W)|0,i=(i=i+Math.imul(k,Y)|0)+Math.imul(E,W)|0,a=a+Math.imul(E,Y)|0,n=n+Math.imul(A,Q)|0,i=(i=i+Math.imul(A,$)|0)+Math.imul(M,Q)|0,a=a+Math.imul(M,$)|0,n=n+Math.imul(x,K)|0,i=(i=i+Math.imul(x,tt)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,i=(i=i+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=(i=i+Math.imul(p,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var At=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,ut)|0)+(i&gt;&gt;&gt;13)|0)+(At&gt;&gt;&gt;26)|0,At&amp;=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(R,q)|0,i=(i=i+Math.imul(R,G)|0)+Math.imul(P,q)|0,a=a+Math.imul(P,G)|0,n=n+Math.imul(S,W)|0,i=(i=i+Math.imul(S,Y)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,Y)|0,n=n+Math.imul(k,Q)|0,i=(i=i+Math.imul(k,$)|0)+Math.imul(E,Q)|0,a=a+Math.imul(E,$)|0,n=n+Math.imul(A,K)|0,i=(i=i+Math.imul(A,tt)|0)+Math.imul(M,K)|0,a=a+Math.imul(M,tt)|0,n=n+Math.imul(x,rt)|0,i=(i=i+Math.imul(x,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(m,at)|0,i=(i=i+Math.imul(m,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(p,lt)|0,i=(i=i+Math.imul(p,ut)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ut)|0;var Mt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,ht)|0)+(i&gt;&gt;&gt;13)|0)+(Mt&gt;&gt;&gt;26)|0,Mt&amp;=67108863,n=Math.imul(F,U),i=(i=Math.imul(F,V))+Math.imul(j,U)|0,a=Math.imul(j,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(N,q)|0,a=a+Math.imul(N,G)|0,n=n+Math.imul(R,W)|0,i=(i=i+Math.imul(R,Y)|0)+Math.imul(P,W)|0,a=a+Math.imul(P,Y)|0,n=n+Math.imul(S,Q)|0,i=(i=i+Math.imul(S,$)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,$)|0,n=n+Math.imul(k,K)|0,i=(i=i+Math.imul(k,tt)|0)+Math.imul(E,K)|0,a=a+Math.imul(E,tt)|0,n=n+Math.imul(A,rt)|0,i=(i=i+Math.imul(A,nt)|0)+Math.imul(M,rt)|0,a=a+Math.imul(M,nt)|0,n=n+Math.imul(x,at)|0,i=(i=i+Math.imul(x,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,i=(i=i+Math.imul(m,ut)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ft)|0,i=(i=i+Math.imul(p,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var Tt=(u+(n=n+Math.imul(f,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Tt&gt;&gt;&gt;26)|0,Tt&amp;=67108863,n=Math.imul(F,q),i=(i=Math.imul(F,G))+Math.imul(j,q)|0,a=Math.imul(j,G),n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,Y)|0)+Math.imul(N,W)|0,a=a+Math.imul(N,Y)|0,n=n+Math.imul(R,Q)|0,i=(i=i+Math.imul(R,$)|0)+Math.imul(P,Q)|0,a=a+Math.imul(P,$)|0,n=n+Math.imul(S,K)|0,i=(i=i+Math.imul(S,tt)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(k,rt)|0,i=(i=i+Math.imul(k,nt)|0)+Math.imul(E,rt)|0,a=a+Math.imul(E,nt)|0,n=n+Math.imul(A,at)|0,i=(i=i+Math.imul(A,ot)|0)+Math.imul(M,at)|0,a=a+Math.imul(M,ot)|0,n=n+Math.imul(x,lt)|0,i=(i=i+Math.imul(x,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(m,ft)|0,i=(i=i+Math.imul(m,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var kt=(u+(n=n+Math.imul(p,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(p,gt)|0)+Math.imul(g,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(g,gt)|0)+(i&gt;&gt;&gt;13)|0)+(kt&gt;&gt;&gt;26)|0,kt&amp;=67108863,n=Math.imul(F,W),i=(i=Math.imul(F,Y))+Math.imul(j,W)|0,a=Math.imul(j,Y),n=n+Math.imul(I,Q)|0,i=(i=i+Math.imul(I,$)|0)+Math.imul(N,Q)|0,a=a+Math.imul(N,$)|0,n=n+Math.imul(R,K)|0,i=(i=i+Math.imul(R,tt)|0)+Math.imul(P,K)|0,a=a+Math.imul(P,tt)|0,n=n+Math.imul(S,rt)|0,i=(i=i+Math.imul(S,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(k,at)|0,i=(i=i+Math.imul(k,ot)|0)+Math.imul(E,at)|0,a=a+Math.imul(E,ot)|0,n=n+Math.imul(A,lt)|0,i=(i=i+Math.imul(A,ut)|0)+Math.imul(M,lt)|0,a=a+Math.imul(M,ut)|0,n=n+Math.imul(x,ft)|0,i=(i=i+Math.imul(x,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var Et=(u+(n=n+Math.imul(m,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(m,gt)|0)+Math.imul(y,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(y,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Et&gt;&gt;&gt;26)|0,Et&amp;=67108863,n=Math.imul(F,Q),i=(i=Math.imul(F,$))+Math.imul(j,Q)|0,a=Math.imul(j,$),n=n+Math.imul(I,K)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(N,K)|0,a=a+Math.imul(N,tt)|0,n=n+Math.imul(R,rt)|0,i=(i=i+Math.imul(R,nt)|0)+Math.imul(P,rt)|0,a=a+Math.imul(P,nt)|0,n=n+Math.imul(S,at)|0,i=(i=i+Math.imul(S,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(k,lt)|0,i=(i=i+Math.imul(k,ut)|0)+Math.imul(E,lt)|0,a=a+Math.imul(E,ut)|0,n=n+Math.imul(A,ft)|0,i=(i=i+Math.imul(A,ht)|0)+Math.imul(M,ft)|0,a=a+Math.imul(M,ht)|0;var Lt=(u+(n=n+Math.imul(x,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(x,gt)|0)+Math.imul(_,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(_,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Lt&gt;&gt;&gt;26)|0,Lt&amp;=67108863,n=Math.imul(F,K),i=(i=Math.imul(F,tt))+Math.imul(j,K)|0,a=Math.imul(j,tt),n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(N,rt)|0,a=a+Math.imul(N,nt)|0,n=n+Math.imul(R,at)|0,i=(i=i+Math.imul(R,ot)|0)+Math.imul(P,at)|0,a=a+Math.imul(P,ot)|0,n=n+Math.imul(S,lt)|0,i=(i=i+Math.imul(S,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(k,ft)|0,i=(i=i+Math.imul(k,ht)|0)+Math.imul(E,ft)|0,a=a+Math.imul(E,ht)|0;var St=(u+(n=n+Math.imul(A,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(A,gt)|0)+Math.imul(M,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(M,gt)|0)+(i&gt;&gt;&gt;13)|0)+(St&gt;&gt;&gt;26)|0,St&amp;=67108863,n=Math.imul(F,rt),i=(i=Math.imul(F,nt))+Math.imul(j,rt)|0,a=Math.imul(j,nt),n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(N,at)|0,a=a+Math.imul(N,ot)|0,n=n+Math.imul(R,lt)|0,i=(i=i+Math.imul(R,ut)|0)+Math.imul(P,lt)|0,a=a+Math.imul(P,ut)|0,n=n+Math.imul(S,ft)|0,i=(i=i+Math.imul(S,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(k,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(k,gt)|0)+Math.imul(E,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(E,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Ct&gt;&gt;&gt;26)|0,Ct&amp;=67108863,n=Math.imul(F,at),i=(i=Math.imul(F,ot))+Math.imul(j,at)|0,a=Math.imul(j,ot),n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ut)|0)+Math.imul(N,lt)|0,a=a+Math.imul(N,ut)|0,n=n+Math.imul(R,ft)|0,i=(i=i+Math.imul(R,ht)|0)+Math.imul(P,ft)|0,a=a+Math.imul(P,ht)|0;var Ot=(u+(n=n+Math.imul(S,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(S,gt)|0)+Math.imul(C,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(C,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Ot&gt;&gt;&gt;26)|0,Ot&amp;=67108863,n=Math.imul(F,lt),i=(i=Math.imul(F,ut))+Math.imul(j,lt)|0,a=Math.imul(j,ut),n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(N,ft)|0,a=a+Math.imul(N,ht)|0;var Rt=(u+(n=n+Math.imul(R,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(R,gt)|0)+Math.imul(P,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(P,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Rt&gt;&gt;&gt;26)|0,Rt&amp;=67108863,n=Math.imul(F,ft),i=(i=Math.imul(F,ht))+Math.imul(j,ft)|0,a=Math.imul(j,ht);var Pt=(u+(n=n+Math.imul(I,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(I,gt)|0)+Math.imul(N,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(N,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Pt&gt;&gt;&gt;26)|0,Pt&amp;=67108863;var zt=(u+(n=Math.imul(F,pt))|0)+((8191&amp;(i=(i=Math.imul(F,gt))+Math.imul(j,pt)|0))&lt;&lt;13)|0;return u=((a=Math.imul(j,gt))+(i&gt;&gt;&gt;13)|0)+(zt&gt;&gt;&gt;26)|0,zt&amp;=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=At,l[8]=Mt,l[9]=Tt,l[10]=kt,l[11]=Et,l[12]=Lt,l[13]=St,l[14]=Ct,l[15]=Ot,l[16]=Rt,l[17]=Pt,l[18]=zt,0!==u&amp;&amp;(l[19]=u,r.length++),r};function p(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=h),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&amp;&amp;10===t.length?d(this,t,e):r&lt;63?h(this,t,e):r&lt;1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a&lt;r.length-1;a++){var o=i;i=0;for(var s=67108863&amp;n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u&lt;=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&amp;f;s=67108863&amp;(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h&gt;&gt;&gt;26)|0)&gt;&gt;&gt;26,o&amp;=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):p(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n&lt;t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i&lt;e;i++)n|=(1&amp;t)&lt;&lt;e-i-1,t&gt;&gt;=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o&lt;a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o&lt;i;o&lt;&lt;=1)for(var s=o&lt;&lt;1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c&lt;i;c+=s)for(var f=l,h=u,d=0;d&lt;o;d++){var p=r[c+d],g=n[c+d],v=r[c+d+o],m=n[c+d+o],y=f*v-h*m;m=f*m+h*v,v=y,r[c+d]=p+v,n[c+d]=g+m,r[c+d+o]=p-v,n[c+d+o]=g-m,d!==s&amp;&amp;(y=l*f-u*h,h=l*h+u*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&amp;r,i=0;for(r=r/2|0;r;r&gt;&gt;&gt;=1)i++;return 1&lt;&lt;i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r&lt;=1))for(var n=0;n&lt;r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n&lt;e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&amp;i,r=i&lt;67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o&lt;e;o++)a+=0|t[o],r[2*o]=8191&amp;a,a&gt;&gt;&gt;=13,r[2*o+1]=8191&amp;a,a&gt;&gt;&gt;=13;for(o=2*e;o&lt;i;++o)r[o]=0;n(0===a),n(0==(-8192&amp;a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r&lt;t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var d=0;d&lt;n;d++){var p=s[d]*c[d]-l[d]*f[d];l[d]=s[d]*f[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),p(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(&quot;number&quot;==typeof t),n(t&lt;67108864);for(var e=0,r=0;r&lt;this.length;r++){var i=(0|this.words[r])*t,a=(67108863&amp;i)+(67108863&amp;e);e&gt;&gt;=26,e+=i/67108864|0,e+=a&gt;&gt;&gt;26,this.words[r]=67108863&amp;a}return 0!==e&amp;&amp;(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r&lt;e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&amp;1&lt;&lt;i)&gt;&gt;&gt;i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n&lt;e.length&amp;&amp;0===e[n];n++,r=r.sqr());if(++n&lt;e.length)for(var i=r.sqr();n&lt;e.length;n++,i=i.sqr())0!==e[n]&amp;&amp;(r=r.mul(i));return r},a.prototype.iushln=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e,r=t%26,i=(t-r)/26,a=67108863&gt;&gt;&gt;26-r&lt;&lt;26-r;if(0!==r){var o=0;for(e=0;e&lt;this.length;e++){var s=this.words[e]&amp;a,l=(0|this.words[e])-s&lt;&lt;r;this.words[e]=l|o,o=s&gt;&gt;&gt;26-r}o&amp;&amp;(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e&gt;=0;e--)this.words[e+i]=this.words[e];for(e=0;e&lt;i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863&gt;&gt;&gt;a&lt;&lt;a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u&lt;o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length&gt;o)for(this.length-=o,u=0;u&lt;this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u&gt;=0&amp;&amp;(0!==c||u&gt;=i);u--){var f=0|this.words[u];this.words[u]=c&lt;&lt;26-a|f&gt;&gt;&gt;a,c=f&amp;s}return l&amp;&amp;0!==c&amp;&amp;(l.words[l.length++]=c),0===this.length&amp;&amp;(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e=t%26,r=(t-e)/26,i=1&lt;&lt;e;return!(this.length&lt;=r)&amp;&amp;!!(this.words[r]&amp;i)},a.prototype.imaskn=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,&quot;imaskn works only with positive numbers&quot;),this.length&lt;=r)return this;if(0!==e&amp;&amp;r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863&gt;&gt;&gt;e&lt;&lt;e;this.words[this.length-1]&amp;=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(&quot;number&quot;==typeof t),n(t&lt;67108864),t&lt;0?this.isubn(-t):0!==this.negative?1===this.length&amp;&amp;(0|this.words[0])&lt;t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e&lt;this.length&amp;&amp;this.words[e]&gt;=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(&quot;number&quot;==typeof t),n(t&lt;67108864),t&lt;0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&amp;&amp;this.words[0]&lt;0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e&lt;this.length&amp;&amp;this.words[e]&lt;0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i&lt;t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&amp;l)&gt;&gt;26)-(l/67108864|0),this.words[i+r]=67108863&amp;a}for(;i&lt;this.length-r;i++)s=(a=(0|this.words[i+r])+s)&gt;&gt;26,this.words[i+r]=67108863&amp;a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i&lt;this.length;i++)s=(a=-(0|this.words[i])+s)&gt;&gt;26,this.words[i]=67108863&amp;a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&amp;&amp;(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(&quot;mod&quot;!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u&lt;s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&amp;&amp;(n=c,s&amp;&amp;(s.words[l]=1));for(var f=l-1;f&gt;=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&amp;&amp;(s.words[f]=h)}return s&amp;&amp;s.strip(),n.strip(),&quot;div&quot;!==e&amp;&amp;0!==r&amp;&amp;n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&amp;&amp;0===t.negative?(s=this.neg().divmod(t,e),&quot;mod&quot;!==e&amp;&amp;(i=s.div.neg()),&quot;div&quot;!==e&amp;&amp;(o=s.mod.neg(),r&amp;&amp;0!==o.negative&amp;&amp;o.iadd(t)),{div:i,mod:o}):0===this.negative&amp;&amp;0!==t.negative?(s=this.divmod(t.neg(),e),&quot;mod&quot;!==e&amp;&amp;(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&amp;t.negative)?(s=this.neg().divmod(t.neg(),e),&quot;div&quot;!==e&amp;&amp;(o=s.mod.neg(),r&amp;&amp;0!==o.negative&amp;&amp;o.isub(t)),{div:s.div,mod:o}):t.length&gt;this.length||this.cmp(t)&lt;0?{div:new a(0),mod:this}:1===t.length?&quot;div&quot;===e?{div:this.divn(t.words[0]),mod:null}:&quot;mod&quot;===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,&quot;div&quot;,!1).div},a.prototype.mod=function(t){return this.divmod(t,&quot;mod&quot;,!1).mod},a.prototype.umod=function(t){return this.divmod(t,&quot;mod&quot;,!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a&lt;0||1===i&amp;&amp;0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t&lt;=67108863);for(var e=(1&lt;&lt;26)%t,r=0,i=this.length-1;i&gt;=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t&lt;=67108863);for(var e=0,r=this.length-1;r&gt;=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&amp;&amp;r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,d=1;0==(e.words[0]&amp;d)&amp;&amp;h&lt;26;++h,d&lt;&lt;=1);if(h&gt;0)for(e.iushrn(h);h-- &gt;0;)(i.isOdd()||o.isOdd())&amp;&amp;(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var p=0,g=1;0==(r.words[0]&amp;g)&amp;&amp;p&lt;26;++p,g&lt;&lt;=1);if(p&gt;0)for(r.iushrn(p);p-- &gt;0;)(s.isOdd()||l.isOdd())&amp;&amp;(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)&gt;=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)&gt;0&amp;&amp;r.cmpn(1)&gt;0;){for(var u=0,c=1;0==(e.words[0]&amp;c)&amp;&amp;u&lt;26;++u,c&lt;&lt;=1);if(u&gt;0)for(e.iushrn(u);u-- &gt;0;)o.isOdd()&amp;&amp;o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&amp;h)&amp;&amp;f&lt;26;++f,h&lt;&lt;=1);if(f&gt;0)for(r.iushrn(f);f-- &gt;0;)s.isOdd()&amp;&amp;s.iadd(l),s.iushrn(1);e.cmp(r)&gt;=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)&lt;0&amp;&amp;i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&amp;&amp;r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i&lt;0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&amp;this.words[0])},a.prototype.isOdd=function(){return 1==(1&amp;this.words[0])},a.prototype.andln=function(t){return this.words[0]&amp;t},a.prototype.bincn=function(t){n(&quot;number&quot;==typeof t);var e=t%26,r=(t-e)/26,i=1&lt;&lt;e;if(this.length&lt;=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&amp;&amp;o&lt;this.length;o++){var s=0|this.words[o];a=(s+=a)&gt;&gt;&gt;26,s&amp;=67108863,this.words[o]=s}return 0!==a&amp;&amp;(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&amp;&amp;0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t&lt;0;if(0!==this.negative&amp;&amp;!r)return-1;if(0===this.negative&amp;&amp;r)return 1;if(this.strip(),this.length&gt;1)e=1;else{r&amp;&amp;(t=-t),n(t&lt;=67108863,&quot;Number is too big&quot;);var i=0|this.words[0];e=i===t?0:i&lt;t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&amp;&amp;0===t.negative)return-1;if(0===this.negative&amp;&amp;0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length&gt;t.length)return 1;if(this.length&lt;t.length)return-1;for(var e=0,r=this.length-1;r&gt;=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n&lt;i?e=-1:n&gt;i&amp;&amp;(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)&gt;=0},a.prototype.gte=function(t){return this.cmp(t)&gt;=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)&lt;=0},a.prototype.lte=function(t){return this.cmp(t)&lt;=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return n(!this.red,&quot;Already a number in reduction context&quot;),n(0===this.negative,&quot;red works only with positives&quot;),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,&quot;fromRed works only with numbers in reduction context&quot;),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,&quot;Already a number in reduction context&quot;),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,&quot;redAdd works only with red numbers&quot;),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,&quot;redIAdd works only with red numbers&quot;),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,&quot;redSub works only with red numbers&quot;),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,&quot;redISub works only with red numbers&quot;),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,&quot;redShl works only with red numbers&quot;),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,&quot;redMul works only with red numbers&quot;),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,&quot;redMul works only with red numbers&quot;),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,&quot;redSqr works only with red numbers&quot;),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,&quot;redISqr works only with red numbers&quot;),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,&quot;redSqrt works only with red numbers&quot;),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,&quot;redInvm works only with red numbers&quot;),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,&quot;redNeg works only with red numbers&quot;),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&amp;&amp;!t.red,&quot;redPow(normalNum)&quot;),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){m.call(this,&quot;k256&quot;,&quot;ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f&quot;)}function b(){m.call(this,&quot;p224&quot;,&quot;ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001&quot;)}function x(){m.call(this,&quot;p192&quot;,&quot;ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff&quot;)}function _(){m.call(this,&quot;25519&quot;,&quot;7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed&quot;)}function w(t){if(&quot;string&quot;==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),&quot;modulus must be greater than 1&quot;),this.m=t,this.prime=null}function A(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&amp;&amp;(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e&gt;this.n);var n=e&lt;this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n&gt;0?r.isub(this.p):r.strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(y,m),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n&lt;r;n++)e.words[n]=t.words[n];if(e.length=r,t.length&lt;=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&amp;i,n=10;n&lt;t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&amp;a)&lt;&lt;4|i&gt;&gt;&gt;22,i=a}i&gt;&gt;&gt;=22,t.words[n-10]=i,0===i&amp;&amp;t.length&gt;10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r&lt;t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&amp;e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&amp;&amp;(t.length--,0===t.words[t.length-1]&amp;&amp;t.length--),t},i(b,m),i(x,m),i(_,m),_.prototype.imulK=function(t){for(var e=0,r=0;r&lt;t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&amp;n;n&gt;&gt;&gt;=26,t.words[r]=i,e=n}return 0!==e&amp;&amp;(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(&quot;k256&quot;===t)e=new y;else if(&quot;p224&quot;===t)e=new b;else if(&quot;p192&quot;===t)e=new x;else{if(&quot;p25519&quot;!==t)throw new Error(&quot;Unknown prime &quot;+t);e=new _}return v[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,&quot;red works only with positives&quot;),n(t.red,&quot;red works only with red numbers&quot;)},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),&quot;red works only with positives&quot;),n(t.red&amp;&amp;t.red===e.red,&quot;red works only with red numbers&quot;)},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)&gt;=0&amp;&amp;r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)&gt;=0&amp;&amp;r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)&lt;0&amp;&amp;r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)&lt;0&amp;&amp;r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&amp;&amp;0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),d=this.pow(t,i),p=o;0!==d.cmp(s);){for(var g=d,v=0;0!==g.cmp(s);v++)g=g.redSqr();n(v&lt;p);var m=this.pow(f,new a(1).iushln(p-v-1));h=h.redMul(m),f=m.redSqr(),d=d.redMul(f),p=v}return h},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n&lt;r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&amp;&amp;(l=26),n=e.length-1;n&gt;=0;n--){for(var u=e.words[n],c=l-1;c&gt;=0;c--){var f=u&gt;&gt;c&amp;1;i!==r[0]&amp;&amp;(i=this.sqr(i)),0!==f||0!==o?(o&lt;&lt;=1,o|=f,(4===++s||0===n&amp;&amp;0===c)&amp;&amp;(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},w.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},w.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new A(t)},i(A,w),A.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},A.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},A.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)&gt;=0?a=i.isub(this.m):i.cmpn(0)&lt;0&amp;&amp;(a=i.iadd(this.m)),a._forceRed(this)},A.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)&gt;=0?o=i.isub(this.m):i.cmpn(0)&lt;0&amp;&amp;(o=i.iadd(this.m)),o._forceRed(this)},A.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(&quot;undefined&quot;==typeof e||e,this)},{buffer:46}],38:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e&lt;i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e&lt;i;++e){var 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f,h=i.mallocDouble(2*c*s),d=i.mallocInt32(s);if((s=l(t,c,h,d))&gt;0){if(1===c&amp;&amp;n)a.init(s),f=a.sweepComplete(c,r,0,s,h,d,0,s,h,d);else{var p=i.mallocDouble(2*c*u),g=i.mallocInt32(u);(u=l(e,c,p,g))&gt;0&amp;&amp;(a.init(s+u),f=1===c?a.sweepBipartite(c,r,0,s,h,d,0,u,p,g):o(c,r,n,s,h,d,u,p,g),i.free(p),i.free(g))}i.free(h),i.free(d)}return f}}}function c(t,e){n.push([t,e])}},{&quot;./lib/intersect&quot;:41,&quot;./lib/sweep&quot;:45,&quot;typedarray-pool&quot;:348}],40:[function(t,e,r){&quot;use strict&quot;;var n=&quot;d&quot;,i=&quot;ax&quot;,a=&quot;vv&quot;,o=&quot;fp&quot;,s=&quot;es&quot;,l=&quot;rs&quot;,u=&quot;re&quot;,c=&quot;rb&quot;,f=&quot;ri&quot;,h=&quot;rp&quot;,d=&quot;bs&quot;,p=&quot;be&quot;,g=&quot;bb&quot;,v=&quot;bi&quot;,m=&quot;bp&quot;,y=&quot;rv&quot;,b=&quot;Q&quot;,x=[n,i,a,l,u,c,f,d,p,g,v];function _(t){var e=&quot;bruteForce&quot;+(t?&quot;Full&quot;:&quot;Partial&quot;),r=[],_=x.slice();t||_.splice(3,0,o);var w=[&quot;function 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z=(R-=1)*x,I=w[z],N=w[z+1],D=w[z+2],F=w[z+3],j=w[z+4],B=w[z+5],U=R*_,V=A[U],H=A[U+1],q=1&amp;B,G=!!(16&amp;B),X=c,W=E,Y=S,Z=C;if(q&amp;&amp;(X=S,W=C,Y=c,Z=E),!(2&amp;B&amp;&amp;(D=v(t,I,N,D,X,W,H),N&gt;=D)||4&amp;B&amp;&amp;(N=m(t,I,N,D,X,W,V))&gt;=D)){var Q=D-N,$=j-F;if(G){if(t*Q*(Q+$)&lt;d){if(void 0!==(O=l.scanComplete(t,I,e,N,D,X,W,F,j,Y,Z)))return O;continue}}else{if(t*Math.min(Q,$)&lt;f){if(void 0!==(O=o(t,I,e,q,N,D,X,W,F,j,Y,Z)))return O;continue}if(t*Q*$&lt;h){if(void 0!==(O=l.scanBipartite(t,I,e,q,N,D,X,W,F,j,Y,Z)))return O;continue}}var J=p(t,I,N,D,X,W,V,H);if(N&lt;J)if(t*(J-N)&lt;f){if(void 0!==(O=s(t,I+1,e,N,J,X,W,F,j,Y,Z)))return O}else if(I===t-2){if(void 0!==(O=q?l.sweepBipartite(t,e,F,j,Y,Z,N,J,X,W):l.sweepBipartite(t,e,N,J,X,W,F,j,Y,Z)))return O}else M(R++,I+1,N,J,F,j,q,-1/0,1/0),M(R++,I+1,F,j,N,J,1^q,-1/0,1/0);if(J&lt;D){var K=u(t,I,F,j,Y,Z),tt=Y[P*K+I],et=g(t,I,K,j,Y,Z,tt);if(et&lt;j&amp;&amp;M(R++,I,J,D,et,j,(4|q)+(G?16:0),tt,H),F&lt;K&amp;&amp;M(R++,I,J,D,F,K,(2|q)+(G?16:0),V,tt),K+1===et){if(void 0!==(O=G?k(t,I,e,J,D,X,W,K,Y,Z[K]):T(t,I,e,q,J,D,X,W,K,Y,Z[K])))return O}else if(K&lt;et){var rt;if(G){if(rt=y(t,I,J,D,X,W,tt),J&lt;rt){var nt=g(t,I,J,rt,X,W,tt);if(I===t-2){if(J&lt;nt&amp;&amp;void 0!==(O=l.sweepComplete(t,e,J,nt,X,W,K,et,Y,Z)))return O;if(nt&lt;rt&amp;&amp;void 0!==(O=l.sweepBipartite(t,e,nt,rt,X,W,K,et,Y,Z)))return O}else J&lt;nt&amp;&amp;M(R++,I+1,J,nt,K,et,16,-1/0,1/0),nt&lt;rt&amp;&amp;(M(R++,I+1,nt,rt,K,et,0,-1/0,1/0),M(R++,I+1,K,et,nt,rt,1,-1/0,1/0))}}else rt=q?b(t,I,J,D,X,W,tt):y(t,I,J,D,X,W,tt),J&lt;rt&amp;&amp;(I===t-2?O=q?l.sweepBipartite(t,e,K,et,Y,Z,J,rt,X,W):l.sweepBipartite(t,e,J,rt,X,W,K,et,Y,Z):(M(R++,I+1,J,rt,K,et,q,-1/0,1/0),M(R++,I+1,K,et,J,rt,1^q,-1/0,1/0)))}}}}};var n=t(&quot;typedarray-pool&quot;),i=t(&quot;bit-twiddle&quot;),a=t(&quot;./brute&quot;),o=a.partial,s=a.full,l=t(&quot;./sweep&quot;),u=t(&quot;./median&quot;),c=t(&quot;./partition&quot;),f=128,h=1&lt;&lt;22,d=1&lt;&lt;22,p=c(&quot;!(lo&gt;=p0)&amp;&amp;!(p1&gt;=hi)&quot;,[&quot;p0&quot;,&quot;p1&quot;]),g=c(&quot;lo===p0&quot;,[&quot;p0&quot;]),v=c(&quot;lo&lt;p0&quot;,[&quot;p0&quot;]),m=c(&quot;hi&lt;=p0&quot;,[&quot;p0&quot;]),y=c(&quot;lo&lt;=p0&amp;&amp;p0&lt;=hi&quot;,[&quot;p0&quot;]),b=c(&quot;lo&lt;p0&amp;&amp;p0&lt;=hi&quot;,[&quot;p0&quot;]),x=6,_=2,w=n.mallocInt32(1024),A=n.mallocDouble(1024);function M(t,e,r,n,i,a,o,s,l){var u=x*t;w[u]=e,w[u+1]=r,w[u+2]=n,w[u+3]=i,w[u+4]=a,w[u+5]=o;var c=_*t;A[c]=s,A[c+1]=l}function T(t,e,r,n,i,a,o,s,l,u,c){var f=2*t,h=l*f,d=u[h+e];t:for(var p=i,g=i*f;p&lt;a;++p,g+=f){var v=o[g+e],m=o[g+e+t];if(!(d&lt;v||m&lt;d)&amp;&amp;(!n||d!==v)){for(var y,b=s[p],x=e+1;x&lt;t;++x){v=o[g+x],m=o[g+x+t];var _=u[h+x],w=u[h+x+t];if(m&lt;_||w&lt;v)continue 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T=s[w];s[w]=s[A],s[A]=T}var k=l[c-1];l[c-1]=l[d],l[d]=k,d=n(t,e,u,c-1,s,l,p);for(var w=h*(c-1),A=h*d,M=0;M&lt;h;++M,++w,++A){var T=s[w];s[w]=s[A],s[A]=T}var k=l[c-1];if(l[c-1]=l[d],l[d]=k,f&lt;d){for(c=d-1;u&lt;c&amp;&amp;s[h*(c-1)+e]===p;)c-=1;c+=1}else{if(!(d&lt;f))break;for(u=d+1;u&lt;c&amp;&amp;s[h*u+e]===p;)u+=1}}return n(t,e,r,f,s,l,s[h*f+e])};var n=t(&quot;./partition&quot;)(&quot;lo&lt;p0&quot;,[&quot;p0&quot;]),i=8;function a(t,e,r,n,i,a){for(var o=2*t,s=o*(r+1)+e,l=r+1;l&lt;n;++l,s+=o)for(var u=i[s],c=l,f=o*(l-1);c&gt;r&amp;&amp;i[f+e]&gt;u;--c,f-=o){for(var h=f,d=f+o,p=0;p&lt;o;++p,++h,++d){var g=i[h];i[h]=i[d],i[d]=g}var v=a[c];a[c]=a[c-1],a[c-1]=v}}},{&quot;./partition&quot;:43}],43:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){var r=&quot;abcdef&quot;.split(&quot;&quot;).concat(e),i=[];t.indexOf(&quot;lo&quot;)&gt;=0&amp;&amp;i.push(&quot;lo=e[k+n]&quot;);t.indexOf(&quot;hi&quot;)&gt;=0&amp;&amp;i.push(&quot;hi=e[k+o]&quot;);return r.push(n.replace(&quot;_&quot;,i.join()).replace(&quot;$&quot;,t)),Function.apply(void 0,r)};var n=&quot;for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d&gt;p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j&gt;s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m&quot;},{}],44:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){e&lt;=4*n?i(0,e-1,t):function t(e,r,f){var h=(r-e+1)/6|0,d=e+h,p=r-h,g=e+r&gt;&gt;1,v=g-h,m=g+h,y=d,b=v,x=g,_=m,w=p,A=e+1,M=r-1,T=0;u(y,b,f)&amp;&amp;(T=y,y=b,b=T);u(_,w,f)&amp;&amp;(T=_,_=w,w=T);u(y,x,f)&amp;&amp;(T=y,y=x,x=T);u(b,x,f)&amp;&amp;(T=b,b=x,x=T);u(y,_,f)&amp;&amp;(T=y,y=_,_=T);u(x,_,f)&amp;&amp;(T=x,x=_,_=T);u(b,w,f)&amp;&amp;(T=b,b=w,w=T);u(b,x,f)&amp;&amp;(T=b,b=x,x=T);u(_,w,f)&amp;&amp;(T=_,_=w,w=T);var k=f[2*b];var E=f[2*b+1];var L=f[2*_];var S=f[2*_+1];var C=2*y;var O=2*x;var R=2*w;var P=2*d;var z=2*g;var I=2*p;for(var N=0;N&lt;2;++N){var D=f[C+N],F=f[O+N],j=f[R+N];f[P+N]=D,f[z+N]=F,f[I+N]=j}o(v,e,f);o(m,r,f);for(var B=A;B&lt;=M;++B)if(c(B,k,E,f))B!==A&amp;&amp;a(B,A,f),++A;else if(!c(B,L,S,f))for(;;){if(c(M,L,S,f)){c(M,k,E,f)?(s(B,A,M,f),++A,--M):(a(B,M,f),--M);break}if(--M&lt;B)break}l(e,A-1,k,E,f);l(r,M+1,L,S,f);A-2-e&lt;=n?i(e,A-2,f):t(e,A-2,f);r-(M+2)&lt;=n?i(M+2,r,f):t(M+2,r,f);M-A&lt;=n?i(A,M,f):t(A,M,f)}(0,e-1,t)};var n=32;function i(t,e,r){for(var n=2*(t+1),i=t+1;i&lt;=e;++i){for(var a=r[n++],o=r[n++],s=i,l=n-2;s-- &gt;t;){var u=r[l-2],c=r[l-1];if(u&lt;a)break;if(u===a&amp;&amp;c&lt;o)break;r[l]=u,r[l+1]=c,l-=2}r[l]=a,r[l+1]=o}}function a(t,e,r){e*=2;var n=r[t*=2],i=r[t+1];r[t]=r[e],r[t+1]=r[e+1],r[e]=n,r[e+1]=i}function o(t,e,r){e*=2,r[t*=2]=r[e],r[t+1]=r[e+1]}function s(t,e,r,n){e*=2,r*=2;var i=n[t*=2],a=n[t+1];n[t]=n[e],n[t+1]=n[e+1],n[e]=n[r],n[e+1]=n[r+1],n[r]=i,n[r+1]=a}function l(t,e,r,n,i){e*=2,i[t*=2]=i[e],i[e]=r,i[t+1]=i[e+1],i[e+1]=n}function u(t,e,r){e*=2;var 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n=t(&quot;binary-search-bounds&quot;),i=t(&quot;robust-orientation&quot;)[3],a=0,o=1,s=2;function l(t,e,r,n,i){this.a=t,this.b=e,this.idx=r,this.lowerIds=n,this.upperIds=i}function u(t,e,r,n){this.a=t,this.b=e,this.type=r,this.idx=n}function c(t,e){var r=t.a[0]-e.a[0]||t.a[1]-e.a[1]||t.type-e.type;return r||(t.type!==a&amp;&amp;(r=i(t.a,t.b,e.b))?r:t.idx-e.idx)}function f(t,e){return i(t.a,t.b,e)}function h(t,e,r,a,o){for(var s=n.lt(e,a,f),l=n.gt(e,a,f),u=s;u&lt;l;++u){for(var c=e[u],h=c.lowerIds,d=h.length;d&gt;1&amp;&amp;i(r[h[d-2]],r[h[d-1]],a)&gt;0;)t.push([h[d-1],h[d-2],o]),d-=1;h.length=d,h.push(o);var p=c.upperIds;for(d=p.length;d&gt;1&amp;&amp;i(r[p[d-2]],r[p[d-1]],a)&lt;0;)t.push([p[d-2],p[d-1],o]),d-=1;p.length=d,p.push(o)}}function d(t,e){var r;return(r=t.a[0]&lt;e.a[0]?i(t.a,t.b,e.a):i(e.b,e.a,t.a))?r:(r=e.b[0]&lt;t.b[0]?i(t.a,t.b,e.b):i(e.b,e.a,t.b))||t.idx-e.idx}function p(t,e,r){var i=n.le(t,r,d),a=t[i],o=a.upperIds,s=o[o.length-1];a.upperIds=[s],t.splice(i+1,0,new 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o&gt;0&amp;&amp;n(t,e,a)&gt;0?1:-1;if(h&lt;0)return o&gt;0||n(t,e,a)&gt;0?1:-1;var d=n(t,e,a);return d&gt;0?1:l(t,e,r)?1:-1};var n=t(&quot;robust-orientation&quot;),i=t(&quot;signum&quot;),a=t(&quot;two-sum&quot;),o=t(&quot;robust-product&quot;),s=t(&quot;robust-sum&quot;);function l(t,e,r){var n=a(t[0],-e[0]),i=a(t[1],-e[1]),l=a(r[0],-e[0]),u=a(r[1],-e[1]),c=s(o(n,l),o(i,u));return c[c.length-1]&gt;=0}},{&quot;robust-orientation&quot;:322,&quot;robust-product&quot;:323,&quot;robust-sum&quot;:327,signum:328,&quot;two-sum&quot;:347}],70:[function(t,e,r){e.exports=function(t,e){var r=t.length,a=t.length-e.length;if(a)return a;switch(r){case 0:return 0;case 1:return t[0]-e[0];case 2:return t[0]+t[1]-e[0]-e[1]||n(t[0],t[1])-n(e[0],e[1]);case 3:var o=t[0]+t[1],s=e[0]+e[1];if(a=o+t[2]-(s+e[2]))return a;var l=n(t[0],t[1]),u=n(e[0],e[1]);return n(l,t[2])-n(u,e[2])||n(l+t[2],o)-n(u+e[2],s);case 4:var c=t[0],f=t[1],h=t[2],d=t[3],p=e[0],g=e[1],v=e[2],m=e[3];return c+f+h+d-(p+g+v+m)||n(c,f,h,d)-n(p,g,v,m,p)||n(c+f,c+h,c+d,f+h,f+d,h+d)-n(p+g,p+v,p+m,g+v,g+m,v+m)||n(c+f+h,c+f+d,c+h+d,f+h+d)-n(p+g+v,p+g+m,p+v+m,g+v+m);default:for(var y=t.slice().sort(i),b=e.slice().sort(i),x=0;x&lt;r;++x)if(a=y[x]-b[x])return a;return 0}};var n=Math.min;function i(t,e){return t-e}},{}],71:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;compare-cell&quot;),i=t(&quot;cell-orientation&quot;);e.exports=function(t,e){return n(t,e)||i(t)-i(e)}},{&quot;cell-orientation&quot;:55,&quot;compare-cell&quot;:70}],72:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./lib/ch1d&quot;),i=t(&quot;./lib/ch2d&quot;),a=t(&quot;./lib/chnd&quot;);e.exports=function(t){var e=t.length;if(0===e)return[];if(1===e)return[[0]];var r=t[0].length;if(0===r)return[];if(1===r)return n(t);if(2===r)return i(t);return a(t,r)}},{&quot;./lib/ch1d&quot;:73,&quot;./lib/ch2d&quot;:74,&quot;./lib/chnd&quot;:75}],73:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=0,r=0,n=1;n&lt;t.length;++n)t[n][0]&lt;t[e][0]&amp;&amp;(e=n),t[n][0]&gt;t[r][0]&amp;&amp;(r=n);return e&lt;r?[[e],[r]]:e&gt;r?[[r],[e]]:[[e]]}},{}],74:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=n(t),r=e.length;if(r&lt;=2)return[];for(var i=new Array(r),a=e[r-1],o=0;o&lt;r;++o){var s=e[o];i[o]=[a,s],a=s}return i};var n=t(&quot;monotone-convex-hull-2d&quot;)},{&quot;monotone-convex-hull-2d&quot;:270}],75:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){try{return n(t,!0)}catch(s){var r=i(t);if(r.length&lt;=e)return[];var a=function(t,e){for(var r=t.length,n=new Array(r),i=0;i&lt;e.length;++i)n[i]=t[e[i]];for(var a=e.length,i=0;i&lt;r;++i)e.indexOf(i)&lt;0&amp;&amp;(n[a++]=t[i]);return n}(t,r),o=n(a,!0);return function(t,e){for(var r=t.length,n=e.length,i=0;i&lt;r;++i)for(var a=t[i],o=0;o&lt;a.length;++o){var s=a[o];if(s&lt;n)a[o]=e[s];else{s-=n;for(var l=0;l&lt;n;++l)s&gt;=e[l]&amp;&amp;(s+=1);a[o]=s}}return t}(o,r)}};var n=t(&quot;incremental-convex-hull&quot;),i=t(&quot;affine-hull&quot;)},{&quot;affine-hull&quot;:13,&quot;incremental-convex-hull&quot;:254}],76:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,n,i,a){var o=i-1,s=i*i,l=o*o,u=(1+2*i)*l,c=i*l,f=s*(3-2*i),h=s*o;if(t.length){a||(a=new Array(t.length));for(var d=t.length-1;d&gt;=0;--d)a[d]=u*t[d]+c*e[d]+f*r[d]+h*n[d];return a}return u*t+c*e+f*r+h*n},e.exports.derivative=function(t,e,r,n,i,a){var o=6*i*i-6*i,s=3*i*i-4*i+1,l=-6*i*i+6*i,u=3*i*i-2*i;if(t.length){a||(a=new Array(t.length));for(var c=t.length-1;c&gt;=0;--c)a[c]=o*t[c]+s*e[c]+l*r[c]+u*n[c];return a}return o*t+s*e+l*r[c]+u*n}},{}],77:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./lib/thunk.js&quot;);function i(){this.argTypes=[],this.shimArgs=[],this.arrayArgs=[],this.arrayBlockIndices=[],this.scalarArgs=[],this.offsetArgs=[],this.offsetArgIndex=[],this.indexArgs=[],this.shapeArgs=[],this.funcName=&quot;&quot;,this.pre=null,this.body=null,this.post=null,this.debug=!1}e.exports=function(t){var e=new i;e.pre=t.pre,e.body=t.body,e.post=t.post;var r=t.args.slice(0);e.argTypes=r;for(var a=0;a&lt;r.length;++a){var o=r[a];if(&quot;array&quot;===o||&quot;object&quot;==typeof o&amp;&amp;o.blockIndices){if(e.argTypes[a]=&quot;array&quot;,e.arrayArgs.push(a),e.arrayBlockIndices.push(o.blockIndices?o.blockIndices:0),e.shimArgs.push(&quot;array&quot;+a),a&lt;e.pre.args.length&amp;&amp;e.pre.args[a].count&gt;0)throw new Error(&quot;cwise: pre() block may not reference array args&quot;);if(a&lt;e.post.args.length&amp;&amp;e.post.args[a].count&gt;0)throw new Error(&quot;cwise: post() block may not reference array args&quot;)}else if(&quot;scalar&quot;===o)e.scalarArgs.push(a),e.shimArgs.push(&quot;scalar&quot;+a);else if(&quot;index&quot;===o){if(e.indexArgs.push(a),a&lt;e.pre.args.length&amp;&amp;e.pre.args[a].count&gt;0)throw new Error(&quot;cwise: pre() block may not reference array index&quot;);if(a&lt;e.body.args.length&amp;&amp;e.body.args[a].lvalue)throw new Error(&quot;cwise: body() block may not write to array index&quot;);if(a&lt;e.post.args.length&amp;&amp;e.post.args[a].count&gt;0)throw new Error(&quot;cwise: post() block may not reference array index&quot;)}else if(&quot;shape&quot;===o){if(e.shapeArgs.push(a),a&lt;e.pre.args.length&amp;&amp;e.pre.args[a].lvalue)throw new Error(&quot;cwise: pre() block may not write to array shape&quot;);if(a&lt;e.body.args.length&amp;&amp;e.body.args[a].lvalue)throw new Error(&quot;cwise: body() block may not write to array shape&quot;);if(a&lt;e.post.args.length&amp;&amp;e.post.args[a].lvalue)throw new Error(&quot;cwise: post() block may not write to array shape&quot;)}else{if(&quot;object&quot;!=typeof o||!o.offset)throw new Error(&quot;cwise: Unknown argument type &quot;+r[a]);e.argTypes[a]=&quot;offset&quot;,e.offsetArgs.push({array:o.array,offset:o.offset}),e.offsetArgIndex.push(a)}}if(e.arrayArgs.length&lt;=0)throw new Error(&quot;cwise: No array arguments specified&quot;);if(e.pre.args.length&gt;r.length)throw new Error(&quot;cwise: Too many arguments in pre() block&quot;);if(e.body.args.length&gt;r.length)throw new Error(&quot;cwise: Too many arguments in body() block&quot;);if(e.post.args.length&gt;r.length)throw new Error(&quot;cwise: Too many arguments in post() block&quot;);return e.debug=!!t.printCode||!!t.debug,e.funcName=t.funcName||&quot;cwise&quot;,e.blockSize=t.blockSize||64,n(e)}},{&quot;./lib/thunk.js&quot;:79}],78:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;uniq&quot;);function i(t,e,r){var n,i,a=t.length,o=e.arrayArgs.length,s=e.indexArgs.length&gt;0,l=[],u=[],c=0,f=0;for(n=0;n&lt;a;++n)u.push([&quot;i&quot;,n,&quot;=0&quot;].join(&quot;&quot;));for(i=0;i&lt;o;++i)for(n=0;n&lt;a;++n)f=c,c=t[n],0===n?u.push([&quot;d&quot;,i,&quot;s&quot;,n,&quot;=t&quot;,i,&quot;p&quot;,c].join(&quot;&quot;)):u.push([&quot;d&quot;,i,&quot;s&quot;,n,&quot;=(t&quot;,i,&quot;p&quot;,c,&quot;-s&quot;,f,&quot;*t&quot;,i,&quot;p&quot;,f,&quot;)&quot;].join(&quot;&quot;));for(u.length&gt;0&amp;&amp;l.push(&quot;var &quot;+u.join(&quot;,&quot;)),n=a-1;n&gt;=0;--n)c=t[n],l.push([&quot;for(i&quot;,n,&quot;=0;i&quot;,n,&quot;&lt;s&quot;,c,&quot;;++i&quot;,n,&quot;){&quot;].join(&quot;&quot;));for(l.push(r),n=0;n&lt;a;++n){for(f=c,c=t[n],i=0;i&lt;o;++i)l.push([&quot;p&quot;,i,&quot;+=d&quot;,i,&quot;s&quot;,n].join(&quot;&quot;));s&amp;&amp;(n&gt;0&amp;&amp;l.push([&quot;index[&quot;,f,&quot;]-=s&quot;,f].join(&quot;&quot;)),l.push([&quot;++index[&quot;,c,&quot;]&quot;].join(&quot;&quot;))),l.push(&quot;}&quot;)}return l.join(&quot;\\n&quot;)}function a(t,e,r){for(var n=t.body,i=[],a=[],o=0;o&lt;t.args.length;++o){var s=t.args[o];if(!(s.count&lt;=0)){var l=new RegExp(s.name,&quot;g&quot;),u=&quot;&quot;,c=e.arrayArgs.indexOf(o);switch(e.argTypes[o]){case&quot;offset&quot;:var f=e.offsetArgIndex.indexOf(o);c=e.offsetArgs[f].array,u=&quot;+q&quot;+f;case&quot;array&quot;:u=&quot;p&quot;+c+u;var h=&quot;l&quot;+o,d=&quot;a&quot;+c;if(0===e.arrayBlockIndices[c])1===s.count?&quot;generic&quot;===r[c]?s.lvalue?(i.push([&quot;var &quot;,h,&quot;=&quot;,d,&quot;.get(&quot;,u,&quot;)&quot;].join(&quot;&quot;)),n=n.replace(l,h),a.push([d,&quot;.set(&quot;,u,&quot;,&quot;,h,&quot;)&quot;].join(&quot;&quot;))):n=n.replace(l,[d,&quot;.get(&quot;,u,&quot;)&quot;].join(&quot;&quot;)):n=n.replace(l,[d,&quot;[&quot;,u,&quot;]&quot;].join(&quot;&quot;)):&quot;generic&quot;===r[c]?(i.push([&quot;var &quot;,h,&quot;=&quot;,d,&quot;.get(&quot;,u,&quot;)&quot;].join(&quot;&quot;)),n=n.replace(l,h),s.lvalue&amp;&amp;a.push([d,&quot;.set(&quot;,u,&quot;,&quot;,h,&quot;)&quot;].join(&quot;&quot;))):(i.push([&quot;var &quot;,h,&quot;=&quot;,d,&quot;[&quot;,u,&quot;]&quot;].join(&quot;&quot;)),n=n.replace(l,h),s.lvalue&amp;&amp;a.push([d,&quot;[&quot;,u,&quot;]=&quot;,h].join(&quot;&quot;)));else{for(var p=[s.name],g=[u],v=0;v&lt;Math.abs(e.arrayBlockIndices[c]);v++)p.push(&quot;\\\\s*\\\\[([^\\\\]]+)\\\\]&quot;),g.push(&quot;$&quot;+(v+1)+&quot;*t&quot;+c+&quot;b&quot;+v);if(l=new RegExp(p.join(&quot;&quot;),&quot;g&quot;),u=g.join(&quot;+&quot;),&quot;generic&quot;===r[c])throw new Error(&quot;cwise: Generic arrays not supported in combination with blocks!&quot;);n=n.replace(l,[d,&quot;[&quot;,u,&quot;]&quot;].join(&quot;&quot;))}break;case&quot;scalar&quot;:n=n.replace(l,&quot;Y&quot;+e.scalarArgs.indexOf(o));break;case&quot;index&quot;:n=n.replace(l,&quot;index&quot;);break;case&quot;shape&quot;:n=n.replace(l,&quot;shape&quot;)}}}return[i.join(&quot;\\n&quot;),n,a.join(&quot;\\n&quot;)].join(&quot;\\n&quot;).trim()}e.exports=function(t,e){for(var r=e[1].length-Math.abs(t.arrayBlockIndices[0])|0,o=new Array(t.arrayArgs.length),s=new Array(t.arrayArgs.length),l=0;l&lt;t.arrayArgs.length;++l)s[l]=e[2*l],o[l]=e[2*l+1];var u=[],c=[],f=[],h=[],d=[];for(l=0;l&lt;t.arrayArgs.length;++l){t.arrayBlockIndices[l]&lt;0?(f.push(0),h.push(r),u.push(r),c.push(r+t.arrayBlockIndices[l])):(f.push(t.arrayBlockIndices[l]),h.push(t.arrayBlockIndices[l]+r),u.push(0),c.push(t.arrayBlockIndices[l]));for(var p=[],g=0;g&lt;o[l].length;g++)f[l]&lt;=o[l][g]&amp;&amp;o[l][g]&lt;h[l]&amp;&amp;p.push(o[l][g]-f[l]);d.push(p)}var v=[&quot;SS&quot;],m=[&quot;&#x27;use strict&#x27;&quot;],y=[];for(g=0;g&lt;r;++g)y.push([&quot;s&quot;,g,&quot;=SS[&quot;,g,&quot;]&quot;].join(&quot;&quot;));for(l=0;l&lt;t.arrayArgs.length;++l){for(v.push(&quot;a&quot;+l),v.push(&quot;t&quot;+l),v.push(&quot;p&quot;+l),g=0;g&lt;r;++g)y.push([&quot;t&quot;,l,&quot;p&quot;,g,&quot;=t&quot;,l,&quot;[&quot;,f[l]+g,&quot;]&quot;].join(&quot;&quot;));for(g=0;g&lt;Math.abs(t.arrayBlockIndices[l]);++g)y.push([&quot;t&quot;,l,&quot;b&quot;,g,&quot;=t&quot;,l,&quot;[&quot;,u[l]+g,&quot;]&quot;].join(&quot;&quot;))}for(l=0;l&lt;t.scalarArgs.length;++l)v.push(&quot;Y&quot;+l);if(t.shapeArgs.length&gt;0&amp;&amp;y.push(&quot;shape=SS.slice(0)&quot;),t.indexArgs.length&gt;0){var b=new Array(r);for(l=0;l&lt;r;++l)b[l]=&quot;0&quot;;y.push([&quot;index=[&quot;,b.join(&quot;,&quot;),&quot;]&quot;].join(&quot;&quot;))}for(l=0;l&lt;t.offsetArgs.length;++l){var x=t.offsetArgs[l],_=[];for(g=0;g&lt;x.offset.length;++g)0!==x.offset[g]&amp;&amp;(1===x.offset[g]?_.push([&quot;t&quot;,x.array,&quot;p&quot;,g].join(&quot;&quot;)):_.push([x.offset[g],&quot;*t&quot;,x.array,&quot;p&quot;,g].join(&quot;&quot;)));0===_.length?y.push(&quot;q&quot;+l+&quot;=0&quot;):y.push([&quot;q&quot;,l,&quot;=&quot;,_.join(&quot;+&quot;)].join(&quot;&quot;))}var w=n([].concat(t.pre.thisVars).concat(t.body.thisVars).concat(t.post.thisVars));for((y=y.concat(w)).length&gt;0&amp;&amp;m.push(&quot;var &quot;+y.join(&quot;,&quot;)),l=0;l&lt;t.arrayArgs.length;++l)m.push(&quot;p&quot;+l+&quot;|=0&quot;);t.pre.body.length&gt;3&amp;&amp;m.push(a(t.pre,t,s));var A=a(t.body,t,s),M=function(t){for(var e=0,r=t[0].length;e&lt;r;){for(var n=1;n&lt;t.length;++n)if(t[n][e]!==t[0][e])return e;++e}return e}(d);M&lt;r?m.push(function(t,e,r,n){for(var a=e.length,o=r.arrayArgs.length,s=r.blockSize,l=r.indexArgs.length&gt;0,u=[],c=0;c&lt;o;++c)u.push([&quot;var offset&quot;,c,&quot;=p&quot;,c].join(&quot;&quot;));for(c=t;c&lt;a;++c)u.push([&quot;for(var j&quot;+c+&quot;=SS[&quot;,e[c],&quot;]|0;j&quot;,c,&quot;&gt;0;){&quot;].join(&quot;&quot;)),u.push([&quot;if(j&quot;,c,&quot;&lt;&quot;,s,&quot;){&quot;].join(&quot;&quot;)),u.push([&quot;s&quot;,e[c],&quot;=j&quot;,c].join(&quot;&quot;)),u.push([&quot;j&quot;,c,&quot;=0&quot;].join(&quot;&quot;)),u.push([&quot;}else{s&quot;,e[c],&quot;=&quot;,s].join(&quot;&quot;)),u.push([&quot;j&quot;,c,&quot;-=&quot;,s,&quot;}&quot;].join(&quot;&quot;)),l&amp;&amp;u.push([&quot;index[&quot;,e[c],&quot;]=j&quot;,c].join(&quot;&quot;));for(c=0;c&lt;o;++c){for(var f=[&quot;offset&quot;+c],h=t;h&lt;a;++h)f.push([&quot;j&quot;,h,&quot;*t&quot;,c,&quot;p&quot;,e[h]].join(&quot;&quot;));u.push([&quot;p&quot;,c,&quot;=(&quot;,f.join(&quot;+&quot;),&quot;)&quot;].join(&quot;&quot;))}for(u.push(i(e,r,n)),c=t;c&lt;a;++c)u.push(&quot;}&quot;);return 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n=0;n&lt;this.dimension;++n)this.bounds[0][n]=-1/0,this.bounds[1][n]=1/0;this._state=t.slice().reverse(),this._velocity=e.slice().reverse(),this._time=[r],this._scratch=[t.slice(),t.slice(),t.slice(),t.slice(),t.slice()]}var s=o.prototype;function l(t){for(var e=new Array(t),r=0;r&lt;t;++r)e[r]=0;return e}s.flush=function(t){var e=i.gt(this._time,t)-1;e&lt;=0||(this._time.splice(0,e),this._state.splice(0,e*this.dimension),this._velocity.splice(0,e*this.dimension))},s.curve=function(t){var e=this._time,r=e.length,o=i.le(e,t),s=this._scratch[0],l=this._state,u=this._velocity,c=this.dimension,f=this.bounds;if(o&lt;0)for(var h=c-1,d=0;d&lt;c;++d,--h)s[d]=l[h];else if(o&gt;=r-1){h=l.length-1;var p=t-e[r-1];for(d=0;d&lt;c;++d,--h)s[d]=l[h]+p*u[h]}else{h=c*(o+1)-1;var g=e[o],v=e[o+1]-g||1,m=this._scratch[1],y=this._scratch[2],b=this._scratch[3],x=this._scratch[4],_=!0;for(d=0;d&lt;c;++d,--h)m[d]=l[h],b[d]=u[h]*v,y[d]=l[h+c],x[d]=u[h+c]*v,_=_&amp;&amp;m[d]===y[d]&amp;&amp;b[d]===x[d]&amp;&amp;0===b[d];if(_)for(d=0;d&lt;c;++d)s[d]=m[d];else n(m,b,y,x,(t-g)/v,s)}var w=f[0],A=f[1];for(d=0;d&lt;c;++d)s[d]=a(w[d],A[d],s[d]);return s},s.dcurve=function(t){var e=this._time,r=e.length,a=i.le(e,t),o=this._scratch[0],s=this._state,l=this._velocity,u=this.dimension;if(a&gt;=r-1)for(var c=s.length-1,f=(e[r-1],0);f&lt;u;++f,--c)o[f]=l[c];else{c=u*(a+1)-1;var h=e[a],d=e[a+1]-h||1,p=this._scratch[1],g=this._scratch[2],v=this._scratch[3],m=this._scratch[4],y=!0;for(f=0;f&lt;u;++f,--c)p[f]=s[c],v[f]=l[c]*d,g[f]=s[c+u],m[f]=l[c+u]*d,y=y&amp;&amp;p[f]===g[f]&amp;&amp;v[f]===m[f]&amp;&amp;0===v[f];if(y)for(f=0;f&lt;u;++f)o[f]=0;else{n.derivative(p,v,g,m,(t-h)/d,o);for(f=0;f&lt;u;++f)o[f]/=d}}return o},s.lastT=function(){var t=this._time;return t[t.length-1]},s.stable=function(){for(var t=this._velocity,e=t.length,r=this.dimension-1;r&gt;=0;--r)if(t[--e])return!1;return!0},s.jump=function(t){var e=this.lastT(),r=this.dimension;if(!(t&lt;e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],u=s[1];this._time.push(e,t);for(var c=0;c&lt;2;++c)for(var f=0;f&lt;r;++f)n.push(n[o++]),i.push(0);this._time.push(t);for(f=r;f&gt;0;--f)n.push(a(l[f-1],u[f-1],arguments[f])),i.push(0)}},s.push=function(t){var e=this.lastT(),r=this.dimension;if(!(t&lt;e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=t-e,l=this.bounds,u=l[0],c=l[1],f=s&gt;1e-6?1/s:0;this._time.push(t);for(var h=r;h&gt;0;--h){var d=a(u[h-1],c[h-1],arguments[h]);n.push(d),i.push((d-n[o++])*f)}}},s.set=function(t){var e=this.dimension;if(!(t&lt;this.lastT()||arguments.length!==e+1)){var r=this._state,n=this._velocity,i=this.bounds,o=i[0],s=i[1];this._time.push(t);for(var 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new a(t,e.key,e.value,e.left,e.right,e._count)}function l(t){t._count=1+(t.left?t.left._count:0)+(t.right?t.right._count:0)}function u(t,e){this._compare=t,this.root=e}var c=u.prototype;function f(t,e){this.tree=t,this._stack=e}Object.defineProperty(c,&quot;keys&quot;,{get:function(){var t=[];return this.forEach(function(e,r){t.push(e)}),t}}),Object.defineProperty(c,&quot;values&quot;,{get:function(){var t=[];return this.forEach(function(e,r){t.push(r)}),t}}),Object.defineProperty(c,&quot;length&quot;,{get:function(){return this.root?this.root._count:0}}),c.insert=function(t,e){for(var r=this._compare,o=this.root,c=[],f=[];o;){var h=r(t,o.key);c.push(o),f.push(h),o=h&lt;=0?o.left:o.right}c.push(new a(n,t,e,null,null,1));for(var d=c.length-2;d&gt;=0;--d){o=c[d];f[d]&lt;=0?c[d]=new a(o._color,o.key,o.value,c[d+1],o.right,o._count+1):c[d]=new a(o._color,o.key,o.value,o.left,c[d+1],o._count+1)}for(d=c.length-1;d&gt;1;--d){var p=c[d-1];o=c[d];if(p._color===i||o._color===i)break;var g=c[d-2];if(g.left===p)if(p.left===o){if(!(v=g.right)||v._color!==n){if(g._color=n,g.left=p.right,p._color=i,p.right=g,c[d-2]=p,c[d-1]=o,l(g),l(p),d&gt;=3)(m=c[d-3]).left===g?m.left=p:m.right=p;break}p._color=i,g.right=s(i,v),g._color=n,d-=1}else{if(!(v=g.right)||v._color!==n){if(p.right=o.left,g._color=n,g.left=o.right,o._color=i,o.left=p,o.right=g,c[d-2]=o,c[d-1]=p,l(g),l(p),l(o),d&gt;=3)(m=c[d-3]).left===g?m.left=o:m.right=o;break}p._color=i,g.right=s(i,v),g._color=n,d-=1}else if(p.right===o){if(!(v=g.left)||v._color!==n){if(g._color=n,g.right=p.left,p._color=i,p.left=g,c[d-2]=p,c[d-1]=o,l(g),l(p),d&gt;=3)(m=c[d-3]).right===g?m.right=p:m.left=p;break}p._color=i,g.left=s(i,v),g._color=n,d-=1}else{var v;if(!(v=g.left)||v._color!==n){var m;if(p.left=o.right,g._color=n,g.right=o.left,o._color=i,o.right=p,o.left=g,c[d-2]=o,c[d-1]=p,l(g),l(p),l(o),d&gt;=3)(m=c[d-3]).right===g?m.right=o:m.left=o;break}p._color=i,g.left=s(i,v),g._color=n,d-=1}}return c[0]._color=i,new u(r,c[0])},c.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return function t(e,r){var n;if(r.left&amp;&amp;(n=t(e,r.left)))return n;return(n=e(r.key,r.value))||(r.right?t(e,r.right):void 0)}(t,this.root);case 2:return function t(e,r,n,i){if(r(e,i.key)&lt;=0){var a;if(i.left&amp;&amp;(a=t(e,r,n,i.left)))return a;if(a=n(i.key,i.value))return a}if(i.right)return t(e,r,n,i.right)}(e,this._compare,t,this.root);case 3:if(this._compare(e,r)&gt;=0)return;return function t(e,r,n,i,a){var o,s=n(e,a.key),l=n(r,a.key);if(s&lt;=0){if(a.left&amp;&amp;(o=t(e,r,n,i,a.left)))return o;if(l&gt;0&amp;&amp;(o=i(a.key,a.value)))return o}if(l&gt;0&amp;&amp;a.right)return t(e,r,n,i,a.right)}(e,r,this._compare,t,this.root)}},Object.defineProperty(c,&quot;begin&quot;,{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new f(this,t)}}),Object.defineProperty(c,&quot;end&quot;,{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new f(this,t)}}),c.at=function(t){if(t&lt;0)return new f(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t&lt;e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new f(this,r);if(t-=1,!e.right)break;if(t&gt;=e.right._count)break;e=e.right}return new f(this,[])},c.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&lt;=0&amp;&amp;(i=n.length),r=a&lt;=0?r.left:r.right}return n.length=i,new f(this,n)},c.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&lt;0&amp;&amp;(i=n.length),r=a&lt;0?r.left:r.right}return n.length=i,new f(this,n)},c.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&gt;0&amp;&amp;(i=n.length),r=a&lt;=0?r.left:r.right}return n.length=i,new f(this,n)},c.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&gt;=0&amp;&amp;(i=n.length),r=a&lt;0?r.left:r.right}return n.length=i,new f(this,n)},c.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new f(this,n);r=i&lt;=0?r.left:r.right}return new f(this,[])},c.remove=function(t){var e=this.find(t);return e?e.remove():this},c.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n&lt;=0?r.left:r.right}};var h=f.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t&lt;e?-1:t&gt;e?1:0}Object.defineProperty(h,&quot;valid&quot;,{get:function(){return this._stack.length&gt;0}}),Object.defineProperty(h,&quot;node&quot;,{get:function(){return this._stack.length&gt;0?this._stack[this._stack.length-1]:null},enumerable:!0}),h.clone=function(){return new f(this.tree,this._stack.slice())},h.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new a(r._color,r.key,r.value,r.left,r.right,r._count);for(var c=t.length-2;c&gt;=0;--c){(r=t[c]).left===t[c+1]?e[c]=new a(r._color,r.key,r.value,e[c+1],r.right,r._count):e[c]=new a(r._color,r.key,r.value,r.left,e[c+1],r._count)}if((r=e[e.length-1]).left&amp;&amp;r.right){var f=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var h=e[f-1];e.push(new a(r._color,h.key,h.value,r.left,r.right,r._count)),e[f-1].key=r.key,e[f-1].value=r.value;for(c=e.length-2;c&gt;=f;--c)r=e[c],e[c]=new a(r._color,r.key,r.value,r.left,e[c+1],r._count);e[f-1].left=e[f]}if((r=e[e.length-1])._color===n){var p=e[e.length-2];p.left===r?p.left=null:p.right===r&amp;&amp;(p.right=null),e.pop();for(c=0;c&lt;e.length;++c)e[c]._count--;return new u(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&amp;&amp;d(r,r.right),r._color=i;for(c=0;c&lt;e.length-1;++c)e[c]._count--;return new u(this.tree._compare,e[0])}if(1===e.length)return new u(this.tree._compare,null);for(c=0;c&lt;e.length;++c)e[c]._count--;var g=e[e.length-2];return function(t){for(var e,r,a,u,c=t.length-1;c&gt;=0;--c){if(e=t[c],0===c)return void(e._color=i);if((r=t[c-1]).left===e){if((a=r.right).right&amp;&amp;a.right._color===n)return u=(a=r.right=o(a)).right=o(a.right),r.right=a.left,a.left=r,a.right=u,a._color=r._color,e._color=i,r._color=i,u._color=i,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).left===r?f.left=a:f.right=a),void(t[c-1]=a);if(a.left&amp;&amp;a.left._color===n)return u=(a=r.right=o(a)).left=o(a.left),r.right=u.left,a.left=u.right,u.left=r,u.right=a,u._color=r._color,r._color=i,a._color=i,e._color=i,l(r),l(a),l(u),c&gt;1&amp;&amp;((f=t[c-2]).left===r?f.left=u:f.right=u),void(t[c-1]=u);if(a._color===i){if(r._color===n)return r._color=i,void(r.right=s(n,a));r.right=s(n,a);continue}a=o(a),r.right=a.left,a.left=r,a._color=r._color,r._color=n,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).left===r?f.left=a:f.right=a),t[c-1]=a,t[c]=r,c+1&lt;t.length?t[c+1]=e:t.push(e),c+=2}else{if((a=r.left).left&amp;&amp;a.left._color===n)return u=(a=r.left=o(a)).left=o(a.left),r.left=a.right,a.right=r,a.left=u,a._color=r._color,e._color=i,r._color=i,u._color=i,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).right===r?f.right=a:f.left=a),void(t[c-1]=a);if(a.right&amp;&amp;a.right._color===n)return u=(a=r.left=o(a)).right=o(a.right),r.left=u.right,a.right=u.left,u.right=r,u.left=a,u._color=r._color,r._color=i,a._color=i,e._color=i,l(r),l(a),l(u),c&gt;1&amp;&amp;((f=t[c-2]).right===r?f.right=u:f.left=u),void(t[c-1]=u);if(a._color===i){if(r._color===n)return r._color=i,void(r.left=s(n,a));r.left=s(n,a);continue}var f;a=o(a),r.left=a.right,a.right=r,a._color=r._color,r._color=n,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).right===r?f.right=a:f.left=a),t[c-1]=a,t[c]=r,c+1&lt;t.length?t[c+1]=e:t.push(e),c+=2}}}(e),g.left===r?g.left=null:g.right=null,new u(this.tree._compare,e[0])},Object.defineProperty(h,&quot;key&quot;,{get:function(){if(this._stack.length&gt;0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(h,&quot;value&quot;,{get:function(){if(this._stack.length&gt;0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(h,&quot;index&quot;,{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&amp;&amp;(t=e[e.length-1].left._count);for(var n=e.length-2;n&gt;=0;--n)e[n+1]===e[n].right&amp;&amp;(++t,e[n].left&amp;&amp;(t+=e[n].left._count));return t},enumerable:!0}),h.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length&gt;0&amp;&amp;t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,&quot;hasNext&quot;,{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e&gt;0;--e)if(t[e-1].left===t[e])return!0;return!1}}),h.update=function(t){var e=this._stack;if(0===e.length)throw new Error(&quot;Can&#x27;t update empty node!&quot;);var r=new Array(e.length),n=e[e.length-1];r[r.length-1]=new a(n._color,n.key,t,n.left,n.right,n._count);for(var i=e.length-2;i&gt;=0;--i)(n=e[i]).left===e[i+1]?r[i]=new a(n._color,n.key,n.value,r[i+1],n.right,n._count):r[i]=new a(n._color,n.key,n.value,n.left,r[i+1],n._count);return new u(this.tree._compare,r[0])},h.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length&gt;0&amp;&amp;t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,&quot;hasPrev&quot;,{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e&gt;0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],93:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],i=607/128,a=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function o(t){if(t&lt;0)return Number(&quot;0/0&quot;);for(var e=a[0],r=a.length-1;r&gt;0;--r)e+=a[r]/(t+r);var n=t+i+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e&lt;.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e&gt;100)return Math.exp(o(e));e-=1;for(var r=n[0],i=1;i&lt;9;i++)r+=n[i]/(e+i);var a=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(a,e+.5)*Math.exp(-a)*r},e.exports.log=o},{}],94:[function(t,e,r){e.exports=function(t,e){if(&quot;string&quot;!=typeof t)throw new TypeError(&quot;must specify type string&quot;);if(e=e||{},&quot;undefined&quot;==typeof document&amp;&amp;!e.canvas)return null;var r=e.canvas||document.createElement(&quot;canvas&quot;);&quot;number&quot;==typeof e.width&amp;&amp;(r.width=e.width);&quot;number&quot;==typeof e.height&amp;&amp;(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf(&quot;webgl&quot;)&amp;&amp;a.push(&quot;experimental-&quot;+t);for(var o=0;o&lt;a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}},{}],95:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=t(&quot;./lib/text.js&quot;),i=t(&quot;./lib/lines.js&quot;),a=t(&quot;./lib/background.js&quot;),o=t(&quot;./lib/cube.js&quot;),s=t(&quot;./lib/ticks.js&quot;),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[&quot;sans-serif&quot;,&quot;sans-serif&quot;,&quot;sans-serif&quot;],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[&quot;auto&quot;,&quot;auto&quot;,&quot;auto&quot;],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],this.labelEnable=[!0,!0,!0],this.labelFont=&quot;sans-serif&quot;,this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[&quot;auto&quot;,&quot;auto&quot;,&quot;auto&quot;],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&amp;&amp;Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s&lt;3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]}),c=!1,f=!1;if(&quot;bounds&quot;in t)for(var h=t.bounds,d=0;d&lt;2;++d)for(var p=0;p&lt;3;++p)h[d][p]!==this.bounds[d][p]&amp;&amp;(f=!0),this.bounds[d][p]=h[d][p];if(&quot;ticks&quot;in t){r=t.ticks,c=!0,this.autoTicks=!1;for(d=0;d&lt;3;++d)this.tickSpacing[d]=0}else a(&quot;tickSpacing&quot;)&amp;&amp;(this.autoTicks=!0,f=!0);if(this._firstInit&amp;&amp;(&quot;ticks&quot;in t||&quot;tickSpacing&quot;in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&amp;&amp;this.autoTicks&amp;&amp;(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(d=0;d&lt;3;++d)r[d].sort(function(t,e){return t.x-e.x});s.equal(r,this.ticks)?c=!1:this.ticks=r}o(&quot;tickEnable&quot;),l(&quot;tickFont&quot;)&amp;&amp;(c=!0),a(&quot;tickSize&quot;),a(&quot;tickAngle&quot;),a(&quot;tickPad&quot;),u(&quot;tickColor&quot;);var g=l(&quot;labels&quot;);l(&quot;labelFont&quot;)&amp;&amp;(g=!0),o(&quot;labelEnable&quot;),a(&quot;labelSize&quot;),a(&quot;labelPad&quot;),u(&quot;labelColor&quot;),o(&quot;lineEnable&quot;),o(&quot;lineMirror&quot;),a(&quot;lineWidth&quot;),u(&quot;lineColor&quot;),o(&quot;lineTickEnable&quot;),o(&quot;lineTickMirror&quot;),a(&quot;lineTickLength&quot;),a(&quot;lineTickWidth&quot;),u(&quot;lineTickColor&quot;),o(&quot;gridEnable&quot;),a(&quot;gridWidth&quot;),u(&quot;gridColor&quot;),o(&quot;zeroEnable&quot;),u(&quot;zeroLineColor&quot;),a(&quot;zeroLineWidth&quot;),o(&quot;backgroundEnable&quot;),u(&quot;backgroundColor&quot;),this._text?this._text&amp;&amp;(g||c)&amp;&amp;this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&amp;&amp;c&amp;&amp;(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var d=[new h,new h,new h];function p(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c&lt;3;++c)if(e!==c){var f=a,h=s,d=o,p=l;u&amp;1&lt;&lt;c&amp;&amp;(f=s,h=a,d=l,p=o),f[c]=r[0][c],h[c]=r[1][c],i[c]&gt;0?(d[c]=-1,p[c]=0):(d[c]=0,p[c]=1)}}var g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],b=[0,0,0];f.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,x=n[12],_=n[13],w=n[14],A=n[15],M=(s?2:1)*this.pixelRatio*(i[3]*x+i[7]*_+i[11]*w+i[15]*A)/e.drawingBufferHeight,T=0;T&lt;3;++T)this.lastCubeProps.cubeEdges[T]=f[T],this.lastCubeProps.axis[T]=h[T];var k=d;for(T=0;T&lt;3;++T)p(d[T],T,this.bounds,f,h);e=this.gl;var E,L=g;for(T=0;T&lt;3;++T)this.backgroundEnable[T]?L[T]=h[T]:L[T]=0;this._background.draw(r,n,i,a,L,this.backgroundColor),this._lines.bind(r,n,i,this);for(T=0;T&lt;3;++T){var S=[0,0,0];h[T]&gt;0?S[T]=a[1][T]:S[T]=a[0][T];for(var C=0;C&lt;2;++C){var O=(T+1+C)%3,R=(T+1+(1^C))%3;this.gridEnable[O]&amp;&amp;this._lines.drawGrid(O,R,this.bounds,S,this.gridColor[O],this.gridWidth[O]*this.pixelRatio)}for(C=0;C&lt;2;++C){O=(T+1+C)%3,R=(T+1+(1^C))%3;this.zeroEnable[R]&amp;&amp;Math.min(a[0][R],a[1][R])&lt;=0&amp;&amp;Math.max(a[0][R],a[1][R])&gt;=0&amp;&amp;this._lines.drawZero(O,R,this.bounds,S,this.zeroLineColor[R],this.zeroLineWidth[R]*this.pixelRatio)}}for(T=0;T&lt;3;++T){this.lineEnable[T]&amp;&amp;this._lines.drawAxisLine(T,this.bounds,k[T].primalOffset,this.lineColor[T],this.lineWidth[T]*this.pixelRatio),this.lineMirror[T]&amp;&amp;this._lines.drawAxisLine(T,this.bounds,k[T].mirrorOffset,this.lineColor[T],this.lineWidth[T]*this.pixelRatio);var P=u(m,k[T].primalMinor),z=u(y,k[T].mirrorMinor),I=this.lineTickLength;for(C=0;C&lt;3;++C){var N=M/r[5*C];P[C]*=I[C]*N,z[C]*=I[C]*N}this.lineTickEnable[T]&amp;&amp;this._lines.drawAxisTicks(T,k[T].primalOffset,P,this.lineTickColor[T],this.lineTickWidth[T]*this.pixelRatio),this.lineTickMirror[T]&amp;&amp;this._lines.drawAxisTicks(T,k[T].mirrorOffset,z,this.lineTickColor[T],this.lineTickWidth[T]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var D,F;function j(t){(F=[0,0,0])[t]=1}function B(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a&gt;0&amp;&amp;l&gt;0?j(n):a&gt;0&amp;&amp;l&lt;0?j(n):a&lt;0&amp;&amp;l&gt;0?j(n):a&lt;0&amp;&amp;l&lt;0?j(n):o&gt;0&amp;&amp;s&gt;0?j(i):o&gt;0&amp;&amp;s&lt;0?j(i):o&lt;0&amp;&amp;s&gt;0?j(i):o&lt;0&amp;&amp;s&lt;0&amp;&amp;j(i)}for(T=0;T&lt;3;++T){var U=k[T].primalMinor,V=k[T].mirrorMinor,H=u(b,k[T].primalOffset);for(C=0;C&lt;3;++C)this.lineTickEnable[T]&amp;&amp;(H[C]+=M*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[T]=1,this.tickEnable[T]){-3600===this.tickAngle[T]?(this.tickAngle[T]=0,this.tickAlign[T]=&quot;auto&quot;):this.tickAlign[T]=-1,D=1,&quot;auto&quot;===(E=[this.tickAlign[T],.5,D])[0]?E[0]=0:E[0]=parseInt(&quot;&quot;+E[0]),F=[0,0,0],B(T,U,V);for(C=0;C&lt;3;++C)H[C]+=M*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(T,this.tickSize[T],this.tickAngle[T],H,this.tickColor[T],q,F,E)}if(this.labelEnable[T]){D=0,F=[0,0,0],this.labels[T].length&gt;4&amp;&amp;(j(T),D=1),&quot;auto&quot;===(E=[this.labelAlign[T],.5,D])[0]?E[0]=0:E[0]=parseInt(&quot;&quot;+E[0]);for(C=0;C&lt;3;++C)H[C]+=M*U[C]*this.labelPad[C]/r[5*C];H[T]+=.5*(a[0][T]+a[1][T]),this._text.drawLabel(T,this.labelSize[T],this.labelAngle[T],H,this.labelColor[T],[0,0,0],F,E)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{&quot;./lib/background.js&quot;:96,&quot;./lib/cube.js&quot;:97,&quot;./lib/lines.js&quot;:98,&quot;./lib/text.js&quot;:100,&quot;./lib/ticks.js&quot;:101}],96:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=[],r=[],s=0,l=0;l&lt;3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],d=-1;d&lt;=1;d+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=d,h[l]=d;for(var p=-1;p&lt;=1;p+=2){f[u]=p;for(var g=-1;g&lt;=1;g+=2)f[c]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var v=u;u=c,c=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),b=i(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),x=a(t);return x.attributes.position.location=0,x.attributes.normal.location=1,new o(t,m,b,x)};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders&quot;).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s&lt;3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{&quot;./shaders&quot;:99,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],97:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,a,d){i(s,e,t),i(s,r,s);for(var y=0,b=0;b&lt;2;++b){c[2]=a[b][2];for(var x=0;x&lt;2;++x){c[1]=a[x][1];for(var _=0;_&lt;2;++_)c[0]=a[_][0],h(l[y],c,s),y+=1}}for(var w=-1,b=0;b&lt;8;++b){for(var A=l[b][3],M=0;M&lt;3;++M)u[b][M]=l[b][M]/A;d&amp;&amp;(u[b][2]*=-1),A&lt;0&amp;&amp;(w&lt;0?w=b:u[b][2]&lt;u[w][2]&amp;&amp;(w=b))}if(w&lt;0){w=0;for(var T=0;T&lt;3;++T){for(var k=(T+2)%3,E=(T+1)%3,L=-1,S=-1,C=0;C&lt;2;++C){var O=C&lt;&lt;T,R=O+(C&lt;&lt;k)+(1-C&lt;&lt;E),P=O+(1-C&lt;&lt;k)+(C&lt;&lt;E);o(u[O],u[R],u[P],f)&lt;0||(C?L=1:S=1)}if(L&lt;0||S&lt;0)S&gt;L&amp;&amp;(w|=1&lt;&lt;T);else{for(var C=0;C&lt;2;++C){var O=C&lt;&lt;T,R=O+(C&lt;&lt;k)+(1-C&lt;&lt;E),P=O+(1-C&lt;&lt;k)+(C&lt;&lt;E),z=p([l[O],l[R],l[P],l[O+(1&lt;&lt;k)+(1&lt;&lt;E)]]);C?L=z:S=z}S&gt;L&amp;&amp;(w|=1&lt;&lt;T)}}}for(var I=7^w,N=-1,b=0;b&lt;8;++b)b!==w&amp;&amp;b!==I&amp;&amp;(N&lt;0?N=b:u[N][1]&gt;u[b][1]&amp;&amp;(N=b));for(var D=-1,b=0;b&lt;3;++b){var F=N^1&lt;&lt;b;if(F!==w&amp;&amp;F!==I){D&lt;0&amp;&amp;(D=F);var E=u[F];E[0]&lt;u[D][0]&amp;&amp;(D=F)}}for(var j=-1,b=0;b&lt;3;++b){var F=N^1&lt;&lt;b;if(F!==w&amp;&amp;F!==I&amp;&amp;F!==D){j&lt;0&amp;&amp;(j=F);var E=u[F];E[0]&gt;u[j][0]&amp;&amp;(j=F)}}var B=g;B[0]=B[1]=B[2]=0,B[n.log2(D^N)]=N&amp;D,B[n.log2(N^j)]=N&amp;j;var U=7^j;U===w||U===I?(U=7^D,B[n.log2(j^U)]=U&amp;j):B[n.log2(D^U)]=U&amp;D;for(var V=v,H=w,T=0;T&lt;3;++T)V[T]=H&amp;1&lt;&lt;T?-1:1;return m};var n=t(&quot;bit-twiddle&quot;),i=t(&quot;gl-mat4/multiply&quot;),a=t(&quot;split-polygon&quot;),o=t(&quot;robust-orientation&quot;),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n&lt;4;++n){t[n]=r[12+n];for(var i=0;i&lt;3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t&lt;8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var d=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function p(t){for(var e=0;e&lt;d.length;++e)if((t=a.positive(t,d[e])).length&lt;3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1&lt;t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{&quot;bit-twiddle&quot;:36,&quot;gl-mat4/multiply&quot;:126,&quot;robust-orientation&quot;:322,&quot;split-polygon&quot;:339}],98:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f&lt;3;++f){for(var h=o.length/3|0,p=0;p&lt;r[f].length;++p){var g=+r[f][p].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[f]=h,l[f]=v-h;for(var h=o.length/3|0,m=0;m&lt;r[f].length;++m){var g=+r[f][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;u[f]=h,c[f]=v-h}var y=n(t,new Float32Array(o)),b=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),x=a(t);return x.attributes.position.location=0,new d(t,y,b,x,l,s,c,u)};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders&quot;).line,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function d(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var p=d.prototype;p.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},p.unbind=function(){this.vao.unbind()},p.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},p.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},p.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var d=h(u,n);d[e]+=r[0][e],this.shader.uniforms.offset=d;var p=f(o);p[t]=1,this.shader.uniforms.majorAxis=p;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},p.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var d=f(l);d[e]=1,this.shader.uniforms.screenAxis=d,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},p.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{&quot;./shaders&quot;:99,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],99:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}&quot;]);r.line=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;}])};var s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a &lt; 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b &gt; HALF_PI) &amp;&amp; (b &lt;= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b &lt; (      ratio) * HALF_PI) ? 0.0 :\\n    (b &lt; (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b &lt; (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b &lt; (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option &gt;  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &amp;&amp;\\n                   (axis.y == 0.0) &amp;&amp;\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) &lt; 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) &lt; 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) &gt; 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}&quot;]),l=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}&quot;]);r.text=function(t){return i(t,s,l,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;}])};var u=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) &gt; 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}&quot;]),c=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}&quot;]);r.bg=function(t){return i(t,u,c,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],100:[function(t,e,r){(function(r){&quot;use strict&quot;;e.exports=function(t,e,r,a,s,l){var c=n(t),f=i(t,[{buffer:c,size:3}]),h=o(t);h.attributes.position.location=0;var d=new u(t,h,c,f);return d.update(e,r,a,s,l),d};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;vectorize-text&quot;),o=t(&quot;./shaders&quot;).text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function u(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var c=u.prototype,f=[0,0];c.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},c.unbind=function(){this.vao.unbind()},c.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var u=l[r];u||(u=l[r]={});var c=u[e];c||(c=u[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn(&#x27;error vectorizing text:&quot;&#x27;+t+&#x27;&quot; error:&#x27;,e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:&quot;center&quot;,textBaseline:&quot;middle&quot;,lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,d=c.cells,p=0,g=d.length;p&lt;g;++p)for(var v=d[p],m=2;m&gt;=0;--m){var y=h[v[m]];o.push(f*y[0],-f*y[1],t)}}for(var u=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],d={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},p=0;p&lt;3;++p){f[p]=o.length/3|0,s(.5*(t[0][p]+t[1][p]),e[p],r[p],12,1.25,d),h[p]=(o.length/3|0)-f[p],u[p]=o.length/3|0;for(var g=0;g&lt;n[p].length;++g)n[p][g].text&amp;&amp;s(n[p][g].x,n[p][g].text,n[p][g].font||i,n[p][g].fontSize||12,1.25,d);c[p]=(o.length/3|0)-u[p]}this.buffer.update(o),this.tickOffset=u,this.tickCount=c,this.labelOffset=f,this.labelCount=h},c.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&amp;&amp;(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},c.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&amp;&amp;(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},c.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(&quot;_process&quot;))},{&quot;./shaders&quot;:99,_process:308,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168,&quot;vectorize-text&quot;:351}],101:[function(t,e,r){&quot;use strict&quot;;function n(t,e){var r=t+&quot;&quot;,n=r.indexOf(&quot;.&quot;),i=0;n&gt;=0&amp;&amp;(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+&quot;&quot;;if(s.indexOf(&quot;e&quot;)&gt;=0)return s;var l=o/a,u=o%a;o&lt;0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=&quot;&quot;+l;if(o&lt;0&amp;&amp;(c=&quot;-&quot;+c),i){for(var f=&quot;&quot;+u;f.length&lt;i;)f=&quot;0&quot;+f;return c+&quot;.&quot;+f}return c}r.create=function(t,e){for(var r=[],i=0;i&lt;3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]&lt;=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(var o=-1;o*e[i]&gt;=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r&lt;3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n&lt;t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],102:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,l,f){var h=e.model||u,d=e.view||u,m=e.projection||u,y=e._ortho||!1,b=t.bounds,x=(f=f||a(h,d,m,b,y)).axis;o(c,d,h),o(c,m,c);for(var _=g,w=0;w&lt;3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var A=n(s(c,c));s(c,c);for(var M=0;M&lt;3;++M){var T=(M+1)%3,k=(M+2)%3,E=v;t:for(var w=0;w&lt;2;++w){var L=[];if(x[M]&lt;0!=!!w){E[M]=b[w][M];for(var S=0;S&lt;2;++S){E[T]=b[S^w][T];for(var C=0;C&lt;2;++C)E[k]=b[C^S^w][k],L.push(E.slice())}for(var O=y?5:4,S=O;S===O;++S){if(0===L.length)continue t;L=i.positive(L,A[S])}for(var S=0;S&lt;L.length;++S)for(var k=L[S],R=p(v,c,k,r,l),C=0;C&lt;3;++C)_[C].lo=Math.min(_[C].lo,k[C]),_[C].hi=Math.max(_[C].hi,k[C]),C!==M&amp;&amp;(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(R[C])))}}}return _};var n=t(&quot;extract-frustum-planes&quot;),i=t(&quot;split-polygon&quot;),a=t(&quot;./lib/cube.js&quot;),o=t(&quot;gl-mat4/multiply&quot;),s=t(&quot;gl-mat4/transpose&quot;),l=t(&quot;gl-vec4/transformMat4&quot;),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],d=[0,0,0,1];function p(t,e,r,n,i){for(var a=0;a&lt;3;++a){for(var o=h,s=d,u=0;u&lt;3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]&lt;0&amp;&amp;(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]&lt;0&amp;&amp;(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],v=[0,0,0]},{&quot;./lib/cube.js&quot;:97,&quot;extract-frustum-planes&quot;:89,&quot;gl-mat4/multiply&quot;:126,&quot;gl-mat4/transpose&quot;:135,&quot;gl-vec4/transformMat4&quot;:239,&quot;split-polygon&quot;:339}],103:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;typedarray-pool&quot;),i=t(&quot;ndarray-ops&quot;),a=t(&quot;ndarray&quot;),o=[&quot;uint8&quot;,&quot;uint8_clamped&quot;,&quot;uint16&quot;,&quot;uint32&quot;,&quot;int8&quot;,&quot;int16&quot;,&quot;int32&quot;,&quot;float32&quot;];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a&lt;0)return t.bufferData(e,i,n),o;if(o+a&gt;r)throw new Error(&quot;gl-buffer: If resizing buffer, must not specify offset&quot;);return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a&lt;i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(&quot;number&quot;!=typeof e&amp;&amp;(e=-1),this.bind(),&quot;object&quot;==typeof t&amp;&amp;&quot;undefined&quot;!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)&lt;0&amp;&amp;(r=&quot;float32&quot;),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(&quot;OES_element_index_uint&quot;)&amp;&amp;&quot;uint16&quot;!==r?&quot;uint32&quot;:&quot;uint16&quot;;if(r===t.dtype&amp;&amp;function(t,e){for(var r=1,n=e.length-1;n&gt;=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&amp;&amp;t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e&lt;0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,&quot;uint16&quot;):c(t,&quot;float32&quot;),this.length=u(this.gl,this.type,this.length,this.usage,e&lt;0?f:f.subarray(0,t.length),e),n.free(f)}else if(&quot;object&quot;==typeof t&amp;&amp;&quot;number&quot;==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(&quot;number&quot;!=typeof t&amp;&amp;void 0!==t)throw new Error(&quot;gl-buffer: Invalid data type&quot;);if(e&gt;=0)throw new Error(&quot;gl-buffer: Cannot specify offset when resizing buffer&quot;);(t|=0)&lt;=0&amp;&amp;(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&amp;&amp;r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(&quot;gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER&quot;);if(n!==t.DYNAMIC_DRAW&amp;&amp;n!==t.STATIC_DRAW&amp;&amp;n!==t.STREAM_DRAW)throw new Error(&quot;gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW&quot;);var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:286,&quot;ndarray-ops&quot;:280,&quot;typedarray-pool&quot;:348}],104:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-vec3&quot;),i=function(t,e){for(var r=0;r&lt;t.length;r++)if(t[r]&gt;=e)return r-1;return r},a=n.create(),o=n.create(),s=function(t,e,r){return t&lt;e?e:t&gt;r?r:t},l=function(t,e,r,l){var u=t[0],c=t[1],f=t[2],h=r[0].length,d=r[1].length,p=r[2].length,g=i(r[0],u),v=i(r[1],c),m=i(r[2],f),y=g+1,b=v+1,x=m+1;if(l&amp;&amp;(g=s(g,0,h-1),y=s(y,0,h-1),v=s(v,0,d-1),b=s(b,0,d-1),m=s(m,0,p-1),x=s(x,0,p-1)),g&lt;0||v&lt;0||m&lt;0||y&gt;=h||b&gt;=d||x&gt;=p)return n.create();var _=(u-r[0][g])/(r[0][y]-r[0][g]),w=(c-r[1][v])/(r[1][b]-r[1][v]),A=(f-r[2][m])/(r[2][x]-r[2][m]);(_&lt;0||_&gt;1||isNaN(_))&amp;&amp;(_=0),(w&lt;0||w&gt;1||isNaN(w))&amp;&amp;(w=0),(A&lt;0||A&gt;1||isNaN(A))&amp;&amp;(A=0);var M=m*h*d,T=x*h*d,k=v*h,E=b*h,L=g,S=y,C=e[k+M+L],O=e[k+M+S],R=e[E+M+L],P=e[E+M+S],z=e[k+T+L],I=e[k+T+S],N=e[E+T+L],D=e[E+T+S],F=n.create();return n.lerp(F,C,O,_),n.lerp(a,R,P,_),n.lerp(F,F,a,w),n.lerp(a,z,I,_),n.lerp(o,N,D,_),n.lerp(a,a,o,w),n.lerp(F,F,a,A),F};e.exports=function(t,e){var r;r=t.positions?t.positions:function(t){for(var e=t[0],r=t[1],n=t[2],i=[],a=0;a&lt;n.length;a++)for(var o=0;o&lt;r.length;o++)for(var s=0;s&lt;e.length;s++)i.push([n[a],r[o],e[s]]);return i}(t.meshgrid);var i=t.meshgrid,a=t.vectors,o={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vertexNormals:[],vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&amp;&amp;(e[0]=[0,0,0],e[1]=[0,0,0]),o;for(var s=0,u=1/0,c=-1/0,f=1/0,h=-1/0,d=1/0,p=-1/0,g=null,v=null,m=[],y=1/0,b=0;b&lt;r.length;b++){var x,_=r[b];u=Math.min(_[0],u),c=Math.max(_[0],c),f=Math.min(_[1],f),h=Math.max(_[1],h),d=Math.min(_[2],d),p=Math.max(_[2],p),x=i?l(_,a,i,!0):a[b],n.length(x)&gt;s&amp;&amp;(s=n.length(x)),b&amp;&amp;(y=Math.min(y,2*n.distance(g,_)/(n.length(v)+n.length(x)))),g=_,v=x,m.push(x)}var w=[u,f,d],A=[c,h,p];e&amp;&amp;(e[0]=w,e[1]=A),0===s&amp;&amp;(s=1);var M=1/s;isFinite(y)&amp;&amp;!isNaN(y)||(y=1),o.vectorScale=y;var T=function(t,e,r){var i=n.create();return void 0!==t&amp;&amp;n.set(i,t,e,r),i}(0,1,0),k=t.coneSize||.5;t.absoluteConeSize&amp;&amp;(k=t.absoluteConeSize*M),o.coneScale=k;b=0;for(var E=0;b&lt;r.length;b++)for(var L=(_=r[b])[0],S=_[1],C=_[2],O=m[b],R=n.length(O)*M,P=0;P&lt;8;P++){o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vertexIntensity.push(R,R,R),o.vertexIntensity.push(R,R,R),o.vertexNormals.push(T,T,T),o.vertexNormals.push(T,T,T);var z=o.positions.length;o.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return o},e.exports.createConeMesh=t(&quot;./lib/conemesh&quot;)},{&quot;./lib/conemesh&quot;:105,&quot;gl-vec3&quot;:187}],105:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-shader&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;normals&quot;),l=t(&quot;gl-mat4/multiply&quot;),u=t(&quot;gl-mat4/invert&quot;),c=t(&quot;ndarray&quot;),f=t(&quot;colormap&quot;),h=t(&quot;simplicial-complex-contour&quot;),d=t(&quot;typedarray-pool&quot;),p=t(&quot;./shaders&quot;),g=p.meshShader,v=p.pickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,u,c,f,h,d,p,g,v,y,b,x,_,w,A,M){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleNormals=u,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.lineWidth=1,this.edgePositions=f,this.edgeColors=d,this.edgeUVs=p,this.edgeIds=h,this.edgeVAO=g,this.edgeCount=0,this.pointPositions=v,this.pointColors=b,this.pointUVs=x,this.pointSizes=_,this.pointIds=y,this.pointVAO=w,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=M,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1]}var b=y.prototype;function x(t){var e=n(t,v.vertex,v.fragment,null,v.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}b.isOpaque=function(){return this.opacity&gt;=1},b.isTransparent=function(){return this.opacity&lt;1},b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.highlight=function(t){if(t&amp;&amp;this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=d.mallocFloat32(6*a),s=0,l=0;l&lt;a;++l)for(var u=r[l],c=0;c&lt;2;++c){var f=u[0];2===u.length&amp;&amp;(f=u[c]);for(var p=n[f][0],g=n[f][1],v=i[f],m=1-v,y=this.positions[p],b=this.positions[g],x=0;x&lt;3;++x)o[s++]=v*y[x]+m*b[x]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),d.free(o)}else this.contourCount=0},b.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,&quot;contourEnable&quot;in t&amp;&amp;(this.contourEnable=t.contourEnable),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=t.contourColor),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;lightPosition&quot;in t&amp;&amp;(this.lightPosition=t.lightPosition),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;ambient&quot;in t&amp;&amp;(this.ambientLight=t.ambient),&quot;diffuse&quot;in t&amp;&amp;(this.diffuseLight=t.diffuse),&quot;specular&quot;in t&amp;&amp;(this.specularLight=t.specular),&quot;roughness&quot;in t&amp;&amp;(this.roughness=t.roughness),&quot;fresnel&quot;in t&amp;&amp;(this.fresnel=t.fresnel),void 0!==t.vectorScale&amp;&amp;(this.vectorScale=t.vectorScale),void 0!==t.coneScale&amp;&amp;(this.coneScale=t.coneScale),void 0!==t.coneOffset&amp;&amp;(this.coneOffset=t.coneOffset),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&amp;&amp;(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=f({colormap:t,nshades:256,format:&quot;rgba&quot;}),r=new Uint8Array(1024),n=0;n&lt;256;++n){for(var i=e[n],a=0;a&lt;3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&amp;&amp;r&amp;&amp;i){var a=[],l=[],u=[],h=[],d=[],p=[],g=[],v=[],m=[],y=[],b=[],x=[],_=[],w=[],A=[];this.cells=r,this.positions=n;var M=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,E=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&amp;&amp;!T&amp;&amp;(T=s.faceNormals(r,n,E)),T||M||(M=s.vertexNormals(r,n,k));var L=t.vertexColors,S=t.cellColors,C=t.meshColor||[1,1,1,1],O=t.vertexUVs,R=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,I=1/0,N=-1/0;if(!O&amp;&amp;!P)if(R)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],N=+t.vertexIntensityBounds[1];else for(var D=0;D&lt;R.length;++D){var F=R[D];I=Math.min(I,F),N=Math.max(N,F)}else if(z)for(D=0;D&lt;z.length;++D){F=z[D];I=Math.min(I,F),N=Math.max(N,F)}else for(D=0;D&lt;n.length;++D){F=n[D][2];I=Math.min(I,F),N=Math.max(N,F)}this.intensity=R||(z?function(t,e,r){for(var n=new Array(e),i=0;i&lt;e;++i)n[i]=0;var a=t.length;for(i=0;i&lt;a;++i)for(var o=t[i],s=0;s&lt;o.length;++s)n[o[s]]=r[i];return n}(r,n.length,z):function(t){for(var e=t.length,r=new Array(e),n=0;n&lt;e;++n)r[n]=t[n][2];return r}(n));var j=t.pointSizes,B=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(D=0;D&lt;n.length;++D)for(var U=n[D],V=0;V&lt;3;++V)!isNaN(U[V])&amp;&amp;isFinite(U[V])&amp;&amp;(this.bounds[0][V]=Math.min(this.bounds[0][V],U[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],U[V]));var H=0,q=0,G=0;t:for(D=0;D&lt;r.length;++D){var X=r[D];switch(X.length){case 1:for(U=n[Y=X[0]],V=0;V&lt;3;++V)if(isNaN(U[V])||!isFinite(U[V]))continue t;b.push(U[0],U[1],U[2],U[3]),3===(Z=L?L[Y]:S?S[D]:C).length?x.push(Z[0],Z[1],Z[2],1):x.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],_.push(Q[0],Q[1]),j?w.push(j[Y]):w.push(B),A.push(D),G+=1;break;case 2:for(V=0;V&lt;2;++V){U=n[Y=X[V]];for(var W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t}for(V=0;V&lt;2;++V){U=n[Y=X[V]];g.push(U[0],U[1],U[2]),3===(Z=L?L[Y]:S?S[D]:C).length?v.push(Z[0],Z[1],Z[2],1):v.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],m.push(Q[0],Q[1]),y.push(D)}q+=1;break;case 3:for(V=0;V&lt;3;++V)for(U=n[Y=X[V]],W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t;for(V=0;V&lt;3;++V){var Y;U=n[Y=X[2-V]];a.push(U[0],U[1],U[2],U[3]);var Z,Q,$,J=i[Y];l.push(J[0],J[1],J[2]),3===(Z=L?L[Y]:S?S[D]:C).length?u.push(Z[0],Z[1],Z[2],1):u.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],d.push(Q[0],Q[1]),$=M?M[Y]:T[D],h.push($[0],$[1],$[2]),p.push(D)}H+=1}}this.pointCount=G,this.edgeCount=q,this.triangleCount=H,this.pointPositions.update(b),this.pointColors.update(x),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(A)),this.edgePositions.update(g),this.edgeColors.update(v),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(u),this.triangleUVs.update(d),this.triangleNormals.update(h),this.triangleIds.update(new Uint32Array(p))}},b.drawTransparent=b.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:m.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);l(c,s.view,s.model),l(c,s.projection,c),u(c,c);for(o=0;o&lt;3;++o)s.eyePosition[o]=c[12+o]/c[15];var f=c[15];for(o=0;o&lt;3;++o)f+=this.lightPosition[o]*c[4*o+3];for(o=0;o&lt;3;++o){for(var h=c[12+o],d=0;d&lt;3;++d)h+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=h/f}if(this.triangleCount&gt;0){var p=this.triShader;p.bind(),p.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},b.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount&gt;0&amp;&amp;(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount&gt;0&amp;&amp;(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind())},b.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3);return{index:Math.floor(r[1]/48),position:n,dataCoordinate:n}},b.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose()},e.exports=function(t,e){1===arguments.length&amp;&amp;(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=x(t),l=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var u=i(t),f=i(t),h=i(t),d=i(t),p=i(t),v=i(t),m=a(t,[{buffer:u,type:t.FLOAT,size:4},{buffer:v,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:h,type:t.FLOAT,size:4},{buffer:d,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:3},{buffer:f,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),A=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:A,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),T=i(t),k=i(t),E=i(t),L=i(t),S=i(t),C=a(t,[{buffer:T,type:t.FLOAT,size:3},{buffer:S,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:E,type:t.FLOAT,size:2},{buffer:L,type:t.FLOAT,size:1}]),O=i(t),R=new y(t,l,r,s,u,f,v,h,d,p,m,b,A,_,w,M,T,S,k,E,L,C,O,a(t,[{buffer:O,type:t.FLOAT,size:3}]));return R.update(e),R}},{&quot;./shaders&quot;:106,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-shader&quot;:149,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,normals:288,&quot;simplicial-complex-contour&quot;:330,&quot;typedarray-pool&quot;:348}],106:[function(t,e,r){var n=t(&quot;glslify&quot;),i=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex &gt; 2.99 &amp;&amp; segmentIndex &lt; 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex &gt; 0.99 &amp;&amp;  segmentIndex &lt; 1.01) ||\\n    (segmentIndex &gt; 4.99 &amp;&amp;  segmentIndex &lt; 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex &lt; 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\nuniform float vectorScale;\\nuniform float coneScale;\\n\\nuniform float coneOffset;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model &amp; view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal,0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n&quot;]),a=n([&quot;#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex &gt; 2.99 &amp;&amp; segmentIndex &lt; 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex &gt; 0.99 &amp;&amp;  segmentIndex &lt; 1.01) ||\\n    (segmentIndex &gt; 4.99 &amp;&amp;  segmentIndex &lt; 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex &lt; 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nuniform float vectorScale;\\nuniform float coneScale;\\nuniform float coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}&quot;]);r.meshShader={vertex:i,fragment:a,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;},{name:&quot;vector&quot;,type:&quot;vec3&quot;}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;},{name:&quot;vector&quot;,type:&quot;vec3&quot;}]}},{glslify:250}],107:[function(t,e,r){e.exports={0:&quot;NONE&quot;,1:&quot;ONE&quot;,2:&quot;LINE_LOOP&quot;,3:&quot;LINE_STRIP&quot;,4:&quot;TRIANGLES&quot;,5:&quot;TRIANGLE_STRIP&quot;,6:&quot;TRIANGLE_FAN&quot;,256:&quot;DEPTH_BUFFER_BIT&quot;,512:&quot;NEVER&quot;,513:&quot;LESS&quot;,514:&quot;EQUAL&quot;,515:&quot;LEQUAL&quot;,516:&quot;GREATER&quot;,517:&quot;NOTEQUAL&quot;,518:&quot;GEQUAL&quot;,519:&quot;ALWAYS&quot;,768:&quot;SRC_COLOR&quot;,769:&quot;ONE_MINUS_SRC_COLOR&quot;,770:&quot;SRC_ALPHA&quot;,771:&quot;ONE_MINUS_SRC_ALPHA&quot;,772:&quot;DST_ALPHA&quot;,773:&quot;ONE_MINUS_DST_ALPHA&quot;,774:&quot;DST_COLOR&quot;,775:&quot;ONE_MINUS_DST_COLOR&quot;,776:&quot;SRC_ALPHA_SATURATE&quot;,1024:&quot;STENCIL_BUFFER_BIT&quot;,1028:&quot;FRONT&quot;,1029:&quot;BACK&quot;,1032:&quot;FRONT_AND_BACK&quot;,1280:&quot;INVALID_ENUM&quot;,1281:&quot;INVALID_VALUE&quot;,1282:&quot;INVALID_OPERATION&quot;,1285:&quot;OUT_OF_MEMORY&quot;,1286:&quot;INVALID_FRAMEBUFFER_OPERATION&quot;,2304:&quot;CW&quot;,2305:&quot;CCW&quot;,2849:&quot;LINE_WIDTH&quot;,2884:&quot;CULL_FACE&quot;,2885:&quot;CULL_FACE_MODE&quot;,2886:&quot;FRONT_FACE&quot;,2928:&quot;DEPTH_RANGE&quot;,2929:&quot;DEPTH_TEST&quot;,2930:&quot;DEPTH_WRITEMASK&quot;,2931:&quot;DEPTH_CLEAR_VALUE&quot;,2932:&quot;DEPTH_FUNC&quot;,2960:&quot;STENCIL_TEST&quot;,2961:&quot;STENCIL_CLEAR_VALUE&quot;,2962:&quot;STENCIL_FUNC&quot;,2963:&quot;STENCIL_VALUE_MASK&quot;,2964:&quot;STENCIL_FAIL&quot;,2965:&quot;STENCIL_PASS_DEPTH_FAIL&quot;,2966:&quot;STENCIL_PASS_DEPTH_PASS&quot;,2967:&quot;STENCIL_REF&quot;,2968:&quot;STENCIL_WRITEMASK&quot;,2978:&quot;VIEWPORT&quot;,3024:&quot;DITHER&quot;,3042:&quot;BLEND&quot;,3088:&quot;SCISSOR_BOX&quot;,3089:&quot;SCISSOR_TEST&quot;,3106:&quot;COLOR_CLEAR_VALUE&quot;,3107:&quot;COLOR_WRITEMASK&quot;,3317:&quot;UNPACK_ALIGNMENT&quot;,3333:&quot;PACK_ALIGNMENT&quot;,3379:&quot;MAX_TEXTURE_SIZE&quot;,3386:&quot;MAX_VIEWPORT_DIMS&quot;,3408:&quot;SUBPIXEL_BITS&quot;,3410:&quot;RED_BITS&quot;,3411:&quot;GREEN_BITS&quot;,3412:&quot;BLUE_BITS&quot;,3413:&quot;ALPHA_BITS&quot;,3414:&quot;DEPTH_BITS&quot;,3415:&quot;STENCIL_BITS&quot;,3553:&quot;TEXTURE_2D&quot;,4352:&quot;DONT_CARE&quot;,4353:&quot;FASTEST&quot;,4354:&quot;NICEST&quot;,5120:&quot;BYTE&quot;,5121:&quot;UNSIGNED_BYTE&quot;,5122:&quot;SHORT&quot;,5123:&quot;UNSIGNED_SHORT&quot;,5124:&quot;INT&quot;,5125:&quot;UNSIGNED_INT&quot;,5126:&quot;FLOAT&quot;,5386:&quot;INVERT&quot;,5890:&quot;TEXTURE&quot;,6401:&quot;STENCIL_INDEX&quot;,6402:&quot;DEPTH_COMPONENT&quot;,6406:&quot;ALPHA&quot;,6407:&quot;RGB&quot;,6408:&quot;RGBA&quot;,6409:&quot;LUMINANCE&quot;,6410:&quot;LUMINANCE_ALPHA&quot;,7680:&quot;KEEP&quot;,7681:&quot;REPLACE&quot;,7682:&quot;INCR&quot;,7683:&quot;DECR&quot;,7936:&quot;VENDOR&quot;,7937:&quot;RENDERER&quot;,7938:&quot;VERSION&quot;,9728:&quot;NEAREST&quot;,9729:&quot;LINEAR&quot;,9984:&quot;NEAREST_MIPMAP_NEAREST&quot;,9985:&quot;LINEAR_MIPMAP_NEAREST&quot;,9986:&quot;NEAREST_MIPMAP_LINEAR&quot;,9987:&quot;LINEAR_MIPMAP_LINEAR&quot;,10240:&quot;TEXTURE_MAG_FILTER&quot;,10241:&quot;TEXTURE_MIN_FILTER&quot;,10242:&quot;TEXTURE_WRAP_S&quot;,10243:&quot;TEXTURE_WRAP_T&quot;,10497:&quot;REPEAT&quot;,10752:&quot;POLYGON_OFFSET_UNITS&quot;,16384:&quot;COLOR_BUFFER_BIT&quot;,32769:&quot;CONSTANT_COLOR&quot;,32770:&quot;ONE_MINUS_CONSTANT_COLOR&quot;,32771:&quot;CONSTANT_ALPHA&quot;,32772:&quot;ONE_MINUS_CONSTANT_ALPHA&quot;,32773:&quot;BLEND_COLOR&quot;,32774:&quot;FUNC_ADD&quot;,32777:&quot;BLEND_EQUATION_RGB&quot;,32778:&quot;FUNC_SUBTRACT&quot;,32779:&quot;FUNC_REVERSE_SUBTRACT&quot;,32819:&quot;UNSIGNED_SHORT_4_4_4_4&quot;,32820:&quot;UNSIGNED_SHORT_5_5_5_1&quot;,32823:&quot;POLYGON_OFFSET_FILL&quot;,32824:&quot;POLYGON_OFFSET_FACTOR&quot;,32854:&quot;RGBA4&quot;,32855:&quot;RGB5_A1&quot;,32873:&quot;TEXTURE_BINDING_2D&quot;,32926:&quot;SAMPLE_ALPHA_TO_COVERAGE&quot;,32928:&quot;SAMPLE_COVERAGE&quot;,32936:&quot;SAMPLE_BUFFERS&quot;,32937:&quot;SAMPLES&quot;,32938:&quot;SAMPLE_COVERAGE_VALUE&quot;,32939:&quot;SAMPLE_COVERAGE_INVERT&quot;,32968:&quot;BLEND_DST_RGB&quot;,32969:&quot;BLEND_SRC_RGB&quot;,32970:&quot;BLEND_DST_ALPHA&quot;,32971:&quot;BLEND_SRC_ALPHA&quot;,33071:&quot;CLAMP_TO_EDGE&quot;,33170:&quot;GENERATE_MIPMAP_HINT&quot;,33189:&quot;DEPTH_COMPONENT16&quot;,33306:&quot;DEPTH_STENCIL_ATTACHMENT&quot;,33635:&quot;UNSIGNED_SHORT_5_6_5&quot;,33648:&quot;MIRRORED_REPEAT&quot;,33901:&quot;ALIASED_POINT_SIZE_RANGE&quot;,33902:&quot;ALIASED_LINE_WIDTH_RANGE&quot;,33984:&quot;TEXTURE0&quot;,33985:&quot;TEXTURE1&quot;,33986:&quot;TEXTURE2&quot;,33987:&quot;TEXTURE3&quot;,33988:&quot;TEXTURE4&quot;,33989:&quot;TEXTURE5&quot;,33990:&quot;TEXTURE6&quot;,33991:&quot;TEXTURE7&quot;,33992:&quot;TEXTURE8&quot;,33993:&quot;TEXTURE9&quot;,33994:&quot;TEXTURE10&quot;,33995:&quot;TEXTURE11&quot;,33996:&quot;TEXTURE12&quot;,33997:&quot;TEXTURE13&quot;,33998:&quot;TEXTURE14&quot;,33999:&quot;TEXTURE15&quot;,34000:&quot;TEXTURE16&quot;,34001:&quot;TEXTURE17&quot;,34002:&quot;TEXTURE18&quot;,34003:&quot;TEXTURE19&quot;,34004:&quot;TEXTURE20&quot;,34005:&quot;TEXTURE21&quot;,34006:&quot;TEXTURE22&quot;,34007:&quot;TEXTURE23&quot;,34008:&quot;TEXTURE24&quot;,34009:&quot;TEXTURE25&quot;,34010:&quot;TEXTURE26&quot;,34011:&quot;TEXTURE27&quot;,34012:&quot;TEXTURE28&quot;,34013:&quot;TEXTURE29&quot;,34014:&quot;TEXTURE30&quot;,34015:&quot;TEXTURE31&quot;,34016:&quot;ACTIVE_TEXTURE&quot;,34024:&quot;MAX_RENDERBUFFER_SIZE&quot;,34041:&quot;DEPTH_STENCIL&quot;,34055:&quot;INCR_WRAP&quot;,34056:&quot;DECR_WRAP&quot;,34067:&quot;TEXTURE_CUBE_MAP&quot;,34068:&quot;TEXTURE_BINDING_CUBE_MAP&quot;,34069:&quot;TEXTURE_CUBE_MAP_POSITIVE_X&quot;,34070:&quot;TEXTURE_CUBE_MAP_NEGATIVE_X&quot;,34071:&quot;TEXTURE_CUBE_MAP_POSITIVE_Y&quot;,34072:&quot;TEXTURE_CUBE_MAP_NEGATIVE_Y&quot;,34073:&quot;TEXTURE_CUBE_MAP_POSITIVE_Z&quot;,34074:&quot;TEXTURE_CUBE_MAP_NEGATIVE_Z&quot;,34076:&quot;MAX_CUBE_MAP_TEXTURE_SIZE&quot;,34338:&quot;VERTEX_ATTRIB_ARRAY_ENABLED&quot;,34339:&quot;VERTEX_ATTRIB_ARRAY_SIZE&quot;,34340:&quot;VERTEX_ATTRIB_ARRAY_STRIDE&quot;,34341:&quot;VERTEX_ATTRIB_ARRAY_TYPE&quot;,34342:&quot;CURRENT_VERTEX_ATTRIB&quot;,34373:&quot;VERTEX_ATTRIB_ARRAY_POINTER&quot;,34466:&quot;NUM_COMPRESSED_TEXTURE_FORMATS&quot;,34467:&quot;COMPRESSED_TEXTURE_FORMATS&quot;,34660:&quot;BUFFER_SIZE&quot;,34661:&quot;BUFFER_USAGE&quot;,34816:&quot;STENCIL_BACK_FUNC&quot;,34817:&quot;STENCIL_BACK_FAIL&quot;,34818:&quot;STENCIL_BACK_PASS_DEPTH_FAIL&quot;,34819:&quot;STENCIL_BACK_PASS_DEPTH_PASS&quot;,34877:&quot;BLEND_EQUATION_ALPHA&quot;,34921:&quot;MAX_VERTEX_ATTRIBS&quot;,34922:&quot;VERTEX_ATTRIB_ARRAY_NORMALIZED&quot;,34930:&quot;MAX_TEXTURE_IMAGE_UNITS&quot;,34962:&quot;ARRAY_BUFFER&quot;,34963:&quot;ELEMENT_ARRAY_BUFFER&quot;,34964:&quot;ARRAY_BUFFER_BINDING&quot;,34965:&quot;ELEMENT_ARRAY_BUFFER_BINDING&quot;,34975:&quot;VERTEX_ATTRIB_ARRAY_BUFFER_BINDING&quot;,35040:&quot;STREAM_DRAW&quot;,35044:&quot;STATIC_DRAW&quot;,35048:&quot;DYNAMIC_DRAW&quot;,35632:&quot;FRAGMENT_SHADER&quot;,35633:&quot;VERTEX_SHADER&quot;,35660:&quot;MAX_VERTEX_TEXTURE_IMAGE_UNITS&quot;,35661:&quot;MAX_COMBINED_TEXTURE_IMAGE_UNITS&quot;,35663:&quot;SHADER_TYPE&quot;,35664:&quot;FLOAT_VEC2&quot;,35665:&quot;FLOAT_VEC3&quot;,35666:&quot;FLOAT_VEC4&quot;,35667:&quot;INT_VEC2&quot;,35668:&quot;INT_VEC3&quot;,35669:&quot;INT_VEC4&quot;,35670:&quot;BOOL&quot;,35671:&quot;BOOL_VEC2&quot;,35672:&quot;BOOL_VEC3&quot;,35673:&quot;BOOL_VEC4&quot;,35674:&quot;FLOAT_MAT2&quot;,35675:&quot;FLOAT_MAT3&quot;,35676:&quot;FLOAT_MAT4&quot;,35678:&quot;SAMPLER_2D&quot;,35680:&quot;SAMPLER_CUBE&quot;,35712:&quot;DELETE_STATUS&quot;,35713:&quot;COMPILE_STATUS&quot;,35714:&quot;LINK_STATUS&quot;,35715:&quot;VALIDATE_STATUS&quot;,35716:&quot;INFO_LOG_LENGTH&quot;,35717:&quot;ATTACHED_SHADERS&quot;,35718:&quot;ACTIVE_UNIFORMS&quot;,35719:&quot;ACTIVE_UNIFORM_MAX_LENGTH&quot;,35720:&quot;SHADER_SOURCE_LENGTH&quot;,35721:&quot;ACTIVE_ATTRIBUTES&quot;,35722:&quot;ACTIVE_ATTRIBUTE_MAX_LENGTH&quot;,35724:&quot;SHADING_LANGUAGE_VERSION&quot;,35725:&quot;CURRENT_PROGRAM&quot;,36003:&quot;STENCIL_BACK_REF&quot;,36004:&quot;STENCIL_BACK_VALUE_MASK&quot;,36005:&quot;STENCIL_BACK_WRITEMASK&quot;,36006:&quot;FRAMEBUFFER_BINDING&quot;,36007:&quot;RENDERBUFFER_BINDING&quot;,36048:&quot;FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE&quot;,36049:&quot;FRAMEBUFFER_ATTACHMENT_OBJECT_NAME&quot;,36050:&quot;FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL&quot;,36051:&quot;FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE&quot;,36053:&quot;FRAMEBUFFER_COMPLETE&quot;,36054:&quot;FRAMEBUFFER_INCOMPLETE_ATTACHMENT&quot;,36055:&quot;FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT&quot;,36057:&quot;FRAMEBUFFER_INCOMPLETE_DIMENSIONS&quot;,36061:&quot;FRAMEBUFFER_UNSUPPORTED&quot;,36064:&quot;COLOR_ATTACHMENT0&quot;,36096:&quot;DEPTH_ATTACHMENT&quot;,36128:&quot;STENCIL_ATTACHMENT&quot;,36160:&quot;FRAMEBUFFER&quot;,36161:&quot;RENDERBUFFER&quot;,36162:&quot;RENDERBUFFER_WIDTH&quot;,36163:&quot;RENDERBUFFER_HEIGHT&quot;,36164:&quot;RENDERBUFFER_INTERNAL_FORMAT&quot;,36168:&quot;STENCIL_INDEX8&quot;,36176:&quot;RENDERBUFFER_RED_SIZE&quot;,36177:&quot;RENDERBUFFER_GREEN_SIZE&quot;,36178:&quot;RENDERBUFFER_BLUE_SIZE&quot;,36179:&quot;RENDERBUFFER_ALPHA_SIZE&quot;,36180:&quot;RENDERBUFFER_DEPTH_SIZE&quot;,36181:&quot;RENDERBUFFER_STENCIL_SIZE&quot;,36194:&quot;RGB565&quot;,36336:&quot;LOW_FLOAT&quot;,36337:&quot;MEDIUM_FLOAT&quot;,36338:&quot;HIGH_FLOAT&quot;,36339:&quot;LOW_INT&quot;,36340:&quot;MEDIUM_INT&quot;,36341:&quot;HIGH_INT&quot;,36346:&quot;SHADER_COMPILER&quot;,36347:&quot;MAX_VERTEX_UNIFORM_VECTORS&quot;,36348:&quot;MAX_VARYING_VECTORS&quot;,36349:&quot;MAX_FRAGMENT_UNIFORM_VECTORS&quot;,37440:&quot;UNPACK_FLIP_Y_WEBGL&quot;,37441:&quot;UNPACK_PREMULTIPLY_ALPHA_WEBGL&quot;,37442:&quot;CONTEXT_LOST_WEBGL&quot;,37443:&quot;UNPACK_COLORSPACE_CONVERSION_WEBGL&quot;,37444:&quot;BROWSER_DEFAULT_WEBGL&quot;}},{}],108:[function(t,e,r){var n=t(&quot;./1.0/numbers&quot;);e.exports=function(t){return n[t]}},{&quot;./1.0/numbers&quot;:107}],109:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders/index&quot;),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r&lt;3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f&lt;3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&amp;&amp;e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e&lt;3;++e){for(var r=[],n=1;n&lt;=2;++n)for(var i=-1;i&lt;=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a&lt;i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){&quot;lineWidth&quot;in(t=t||{})&amp;&amp;(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),&quot;capSize&quot;in t&amp;&amp;(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,&quot;opacity&quot;in t&amp;&amp;(this.opacity=+t.opacity,this.opacity&lt;1&amp;&amp;(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&amp;&amp;n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s&lt;3;++s){this.lineOffset[s]=o;t:for(var l=0;l&lt;a;++l){for(var c=r[l],h=0;h&lt;3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var d=n[l],p=e[s];if(Array.isArray(p[0])&amp;&amp;(p=e[l]),3===p.length?p=[p[0],p[1],p[2],1]:4===p.length&amp;&amp;(p=[p[0],p[1],p[2],p[3]],!this.hasAlpha&amp;&amp;p[3]&lt;1&amp;&amp;(this.hasAlpha=!0)),!isNaN(d[0][s])&amp;&amp;!isNaN(d[1][s])){var g;if(d[0][s]&lt;0)(g=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),u(this.bounds,g),o+=2+f(i,g,p,s);if(d[1][s]&gt;0)(g=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),u(this.bounds,g),o+=2+f(i,g,p,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{&quot;./shaders/index&quot;:110,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],110:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}&quot;]);e.exports=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;offset&quot;,type:&quot;vec3&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],111:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-texture2d&quot;);e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(&quot;WEBGL_draw_buffers&quot;);!l&amp;&amp;u&amp;&amp;function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n&lt;=r;++n){for(var i=new Array(r),a=0;a&lt;n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a&lt;r;++a)i[a]=t.NONE;l[n]=i}}(t,u);Array.isArray(e)&amp;&amp;(n=r,r=0|e[1],e=0|e[0]);if(&quot;number&quot;!=typeof e)throw new Error(&quot;gl-fbo: Missing shape parameter&quot;);var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e&lt;0||e&gt;c||r&lt;0||r&gt;c)throw new Error(&quot;gl-fbo: Parameters are too large for FBO&quot;);var f=1;if(&quot;color&quot;in(n=n||{})){if((f=Math.max(0|n.color,0))&lt;0)throw new Error(&quot;gl-fbo: Must specify a nonnegative number of colors&quot;);if(f&gt;1){if(!u)throw new Error(&quot;gl-fbo: Multiple draw buffer extension not supported&quot;);if(f&gt;t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(&quot;gl-fbo: Context does not support &quot;+f+&quot; draw buffers&quot;)}}var h=t.UNSIGNED_BYTE,d=t.getExtension(&quot;OES_texture_float&quot;);if(n.float&amp;&amp;f&gt;0){if(!d)throw new Error(&quot;gl-fbo: Context does not support floating point textures&quot;);h=t.FLOAT}else n.preferFloat&amp;&amp;f&gt;0&amp;&amp;d&amp;&amp;(h=t.FLOAT);var g=!0;&quot;depth&quot;in n&amp;&amp;(g=!!n.depth);var v=!1;&quot;stencil&quot;in n&amp;&amp;(v=!!n.stencil);return new p(t,e,r,h,f,g,v,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(&quot;gl-fbo: Framebuffer unsupported&quot;);case a:throw new Error(&quot;gl-fbo: Framebuffer incomplete attachment&quot;);case o:throw new Error(&quot;gl-fbo: Framebuffer incomplete dimensions&quot;);case s:throw new Error(&quot;gl-fbo: Framebuffer incomplete missing attachment&quot;);default:throw new Error(&quot;gl-fbo: Framebuffer failed for unspecified reason&quot;)}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function d(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function p(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var p=0;p&lt;i;++p)this.color[p]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,v=[0|e,0|r];Object.defineProperties(v,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=v,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,p=t._useStencil,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m&lt;o;++m)t.color[m]=h(r,i,a,v,r.RGBA,r.COLOR_ATTACHMENT0+m);0===o?(t._color_rb=d(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&amp;&amp;s.drawBuffersWEBGL(l[0])):o&gt;1&amp;&amp;s.drawBuffersWEBGL(l[o]);var y=r.getExtension(&quot;WEBGL_depth_texture&quot;);y?p?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&amp;&amp;(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&amp;&amp;p?t._depth_rb=d(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=d(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):p&amp;&amp;(t._depth_rb=d(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&amp;&amp;(t.depth.dispose(),t.depth=null),t._depth_rb&amp;&amp;(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),m=0;m&lt;t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&amp;&amp;(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(b)}c(r,e)}(this)}var g=p.prototype;function v(t,e,r){if(t._destroyed)throw new Error(&quot;gl-fbo: Can&#x27;t resize destroyed FBO&quot;);if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e&lt;0||e&gt;i||r&lt;0||r&gt;i)throw new Error(&quot;gl-fbo: Can&#x27;t resize FBO, invalid dimensions&quot;);t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o&lt;t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&amp;&amp;(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&amp;&amp;(t.depth.shape=t._shape),t._depth_rb&amp;&amp;(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&amp;&amp;t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&amp;&amp;n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&amp;&amp;(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(&quot;gl-fbo: Shape vector must be length 2&quot;);var e=0|t[0],r=0|t[1];return v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,v(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&amp;&amp;(this.depth.dispose(),this.depth=null),this._depth_rb&amp;&amp;(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e&lt;this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&amp;&amp;(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{&quot;gl-texture2d&quot;:164}],112:[function(t,e,r){var n=t(&quot;sprintf-js&quot;).sprintf,i=t(&quot;gl-constants/lookup&quot;),a=t(&quot;glsl-shader-name&quot;),o=t(&quot;add-line-numbers&quot;);e.exports=function(t,e,r){&quot;use strict&quot;;var s=a(e)||&quot;of unknown name (see npm glsl-shader-name)&quot;,l=&quot;unknown type&quot;;void 0!==r&amp;&amp;(l=r===i.FRAGMENT_SHADER?&quot;fragment&quot;:&quot;vertex&quot;);for(var u=n(&quot;Error compiling %s shader %s:\\n&quot;,l,s),c=n(&quot;%s%s&quot;,u,t),f=t.split(&quot;\\n&quot;),h={},d=0;d&lt;f.length;d++){var p=f[d];if(&quot;&quot;!==p&amp;&amp;&quot;\\0&quot;!==p){var g=parseInt(p.split(&quot;:&quot;)[2]);if(isNaN(g))throw new Error(n(&quot;Could not parse error: %s&quot;,p));h[g]=p}}for(var v=o(e).split(&quot;\\n&quot;),d=0;d&lt;v.length;d++)if(h[d+3]||h[d+2]||h[d+1]){var m=v[d];if(u+=m+&quot;\\n&quot;,h[d+1]){var y=h[d+1];y=y.substr(y.split(&quot;:&quot;,3).join(&quot;:&quot;).length+1).trim(),u+=n(&quot;^^^ %s\\n\\n&quot;,y)}}return{long:u.trim(),short:c.trim()}}},{&quot;add-line-numbers&quot;:12,&quot;gl-constants/lookup&quot;:108,&quot;glsl-shader-name&quot;:242,&quot;sprintf-js&quot;:340}],113:[function(t,e,r){var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight &lt; 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1604150559(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av &lt; FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v &gt; FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v &lt; -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp float m = av * pow(2.0, -e) - 1.0;\\n  \\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n  \\n  //Unpack exponent\\n  highp float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0; \\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1604150559(pixelArcLength).xyz);\\n}&quot;]),l=[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;nextPosition&quot;,type:&quot;vec3&quot;},{name:&quot;arcLength&quot;,type:&quot;float&quot;},{name:&quot;lineWidth&quot;,type:&quot;float&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{&quot;gl-shader&quot;:149,glslify:250}],114:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.gl||t.scene&amp;&amp;t.scene.gl,r=c(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),u=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),h=l(new Array(1024),[256,1,4]),d=0;d&lt;1024;++d)h.data[d]=255;var p=a(e,h);p.wrap=e.REPEAT;var g=new v(e,r,o,s,u,p);return g.update(t),g};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;gl-texture2d&quot;),o=t(&quot;glsl-read-float&quot;),s=t(&quot;binary-search-bounds&quot;),l=t(&quot;ndarray&quot;),u=t(&quot;./lib/shaders&quot;),c=u.createShader,f=u.createPickShader,h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n&lt;3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function p(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r&lt;3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=v.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||h,view:t.view||h,projection:t.projection||h,clipBounds:p(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||h,view:t.view||h,projection:t.projection||h,pickId:this.pickId,clipBounds:p(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;&quot;dashScale&quot;in t&amp;&amp;(this.dashScale=t.dashScale),this.hasAlpha=!1,&quot;opacity&quot;in t&amp;&amp;(this.opacity=+t.opacity,this.opacity&lt;1&amp;&amp;(this.hasAlpha=!0));var i=[],a=[],o=[],u=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,v=!1;t:for(e=1;e&lt;h.length;++e){var m,y,b,x=h[e-1],_=h[e];for(a.push(u),o.push(x.slice()),r=0;r&lt;3;++r){if(isNaN(x[r])||isNaN(_[r])||!isFinite(x[r])||!isFinite(_[r])){if(!n&amp;&amp;i.length&gt;0){for(var w=0;w&lt;24;++w)i.push(i[i.length-12]);c+=2,v=!0}continue t}f[0][r]=Math.min(f[0][r],x[r],_[r]),f[1][r]=Math.max(f[1][r],x[r],_[r])}Array.isArray(p[0])?(m=p.length&gt;e-1?p[e-1]:p.length&gt;0?p[p.length-1]:[0,0,0,1],y=p.length&gt;e?p[e]:p.length&gt;0?p[p.length-1]:[0,0,0,1]):m=y=p,3===m.length&amp;&amp;(m=[m[0],m[1],m[2],1]),3===y.length&amp;&amp;(y=[y[0],y[1],y[2],1]),!this.hasAlpha&amp;&amp;m[3]&lt;1&amp;&amp;(this.hasAlpha=!0),b=Array.isArray(g)?g.length&gt;e-1?g[e-1]:g.length&gt;0?g[g.length-1]:[0,0,0,1]:g;var A=u;if(u+=d(x,_),v){for(r=0;r&lt;2;++r)i.push(x[0],x[1],x[2],_[0],_[1],_[2],A,b,m[0],m[1],m[2],m[3]);c+=2,v=!1}i.push(x[0],x[1],x[2],_[0],_[1],_[2],A,b,m[0],m[1],m[2],m[3],x[0],x[1],x[2],_[0],_[1],_[2],A,-b,m[0],m[1],m[2],m[3],_[0],_[1],_[2],x[0],x[1],x[2],u,-b,y[0],y[1],y[2],y[3],_[0],_[1],_[2],x[0],x[1],x[2],u,b,y[0],y[1],y[2],y[3]),c+=4}}if(this.buffer.update(i),a.push(u),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,&quot;dashes&quot;in t){var M=t.dashes.slice();for(M.unshift(0),e=1;e&lt;M.length;++e)M[e]=M[e-1]+M[e];var T=l(new Array(1024),[256,1,4]);for(e=0;e&lt;256;++e){for(r=0;r&lt;4;++r)T.set(e,0,r,0);1&amp;s.le(M,M[M.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=o(t.value[0],t.value[1],t.value[2],0),r=s.le(this.arcLength,e);if(r&lt;0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),l=1-a,u=[0,0,0],c=0;c&lt;3;++c)u[c]=l*n[c]+a*i[c];var f=Math.min(a&lt;.5?r:r+1,this.points.length-1);return new g(e,u,f,this.points[f])}},{&quot;./lib/shaders&quot;:113,&quot;binary-search-bounds&quot;:115,&quot;gl-buffer&quot;:103,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,&quot;glsl-read-float&quot;:241,ndarray:286}],115:[function(t,e,r){arguments[4][54][0].apply(r,arguments)},{dup:54}],116:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}},{}],117:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=c*o-s*u,h=-c*a+s*l,d=u*a-o*l,p=r*f+n*h+i*d;return p?(p=1/p,t[0]=f*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=h*p,t[4]=(c*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-u*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}},{}],118:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],119:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);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}},{}],120:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],d=t[12],p=t[13],g=t[14],v=t[15];return(e*o-r*a)*(f*v-h*g)-(e*s-n*a)*(c*v-h*p)+(e*l-i*a)*(c*g-f*p)+(r*s-n*o)*(u*v-h*d)-(r*l-i*o)*(u*g-f*d)+(n*l-i*s)*(u*p-c*d)}},{}],121:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,d=i*s,p=i*l,g=a*o,v=a*s,m=a*l;return t[0]=1-f-p,t[1]=c+m,t[2]=h-v,t[3]=0,t[4]=c-m,t[5]=1-u-p,t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],122:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,d=i*l,p=i*u,g=a*u,v=o*s,m=o*l,y=o*u;return t[0]=1-(d+g),t[1]=f+y,t[2]=h-m,t[3]=0,t[4]=f-y,t[5]=1-(c+g),t[6]=p+v,t[7]=0,t[8]=h+m,t[9]=p-v,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],123:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],124:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],d=e[11],p=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,A=i*u-a*l,M=c*g-f*p,T=c*v-h*p,k=c*m-d*p,E=f*v-h*g,L=f*m-d*g,S=h*m-d*v,C=y*S-b*L+x*E+_*k-w*T+A*M;if(!C)return null;return C=1/C,t[0]=(s*S-l*L+u*E)*C,t[1]=(i*L-n*S-a*E)*C,t[2]=(g*A-v*w+m*_)*C,t[3]=(h*w-f*A-d*_)*C,t[4]=(l*k-o*S-u*T)*C,t[5]=(r*S-i*k+a*T)*C,t[6]=(v*x-p*A-m*b)*C,t[7]=(c*A-h*x+d*b)*C,t[8]=(o*L-s*k+u*M)*C,t[9]=(n*k-r*L-a*M)*C,t[10]=(p*w-g*x+m*y)*C,t[11]=(f*x-c*w-d*y)*C,t[12]=(s*T-o*E-l*M)*C,t[13]=(r*E-n*T+i*M)*C,t[14]=(g*b-p*_-v*y)*C,t[15]=(c*_-f*b+h*y)*C,t}},{}],125:[function(t,e,r){var n=t(&quot;./identity&quot;);e.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,d,p,g=e[0],v=e[1],m=e[2],y=i[0],b=i[1],x=i[2],_=r[0],w=r[1],A=r[2];if(Math.abs(g-_)&lt;1e-6&amp;&amp;Math.abs(v-w)&lt;1e-6&amp;&amp;Math.abs(m-A)&lt;1e-6)return n(t);f=g-_,h=v-w,d=m-A,p=1/Math.sqrt(f*f+h*h+d*d),a=b*(d*=p)-x*(h*=p),o=x*(f*=p)-y*d,s=y*h-b*f,(p=Math.sqrt(a*a+o*o+s*s))?(a*=p=1/p,o*=p,s*=p):(a=0,o=0,s=0);l=h*s-d*o,u=d*a-f*s,c=f*o-h*a,(p=Math.sqrt(l*l+u*u+c*c))?(l*=p=1/p,u*=p,c*=p):(l=0,u=0,c=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*g+o*v+s*m),t[13]=-(l*g+u*v+c*m),t[14]=-(f*g+h*v+d*m),t[15]=1,t}},{&quot;./identity&quot;:123}],126:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],d=e[10],p=e[11],g=e[12],v=e[13],m=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*f+w*g,t[1]=b*i+x*l+_*h+w*v,t[2]=b*a+x*u+_*d+w*m,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*f+w*g,t[5]=b*i+x*l+_*h+w*v,t[6]=b*a+x*u+_*d+w*m,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*f+w*g,t[9]=b*i+x*l+_*h+w*v,t[10]=b*a+x*u+_*d+w*m,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*f+w*g,t[13]=b*i+x*l+_*h+w*v,t[14]=b*a+x*u+_*d+w*m,t[15]=b*o+x*c+_*p+w*y,t}},{}],127:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},{}],128:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],129:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,d,p,g,v,m,y,b,x,_,w,A,M,T,k,E,L=n[0],S=n[1],C=n[2],O=Math.sqrt(L*L+S*S+C*C);if(Math.abs(O)&lt;1e-6)return null;L*=O=1/O,S*=O,C*=O,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],d=e[6],p=e[7],g=e[8],v=e[9],m=e[10],y=e[11],b=L*L*o+a,x=S*L*o+C*i,_=C*L*o-S*i,w=L*S*o-C*i,A=S*S*o+a,M=C*S*o+L*i,T=L*C*o+S*i,k=S*C*o-L*i,E=C*C*o+a,t[0]=s*b+f*x+g*_,t[1]=l*b+h*x+v*_,t[2]=u*b+d*x+m*_,t[3]=c*b+p*x+y*_,t[4]=s*w+f*A+g*M,t[5]=l*w+h*A+v*M,t[6]=u*w+d*A+m*M,t[7]=c*w+p*A+y*M,t[8]=s*T+f*k+g*E,t[9]=l*T+h*k+v*E,t[10]=u*T+d*k+m*E,t[11]=c*T+p*k+y*E,e!==t&amp;&amp;(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],130:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11];e!==t&amp;&amp;(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],131:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];e!==t&amp;&amp;(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],132:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];e!==t&amp;&amp;(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],133:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],134:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,d,p,g=r[0],v=r[1],m=r[2];e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=d,t[11]=p,t[12]=n*g+s*v+f*m+e[12],t[13]=i*g+l*v+h*m+e[13],t[14]=a*g+u*v+d*m+e[14],t[15]=o*g+c*v+p*m+e[15]);return t}},{}],135:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],136:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:i(t,e);break;case 16:a(t,e);break;default:throw new Error(&quot;currently supports matrices up to 4x4&quot;)}return t};var n=t(&quot;gl-mat2/invert&quot;),i=t(&quot;gl-mat3/invert&quot;),a=t(&quot;gl-mat4/invert&quot;)},{&quot;gl-mat2/invert&quot;:116,&quot;gl-mat3/invert&quot;:117,&quot;gl-mat4/invert&quot;:124}],137:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;barycentric&quot;),i=t(&quot;polytope-closest-point/lib/closest_point_2d.js&quot;);function a(t,e){for(var r=[0,0,0,0],n=0;n&lt;4;++n)for(var i=0;i&lt;4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s&lt;3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}e.exports=function(t,e,r,a,s,l){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),c=0;c&lt;t.length;++c)u[c]=o(t[c],r,a,s,l);for(var f=0,h=1/0,c=0;c&lt;u.length;++c){for(var d=0,p=0;p&lt;2;++p)d+=Math.pow(u[c][p]-e[p],2);d&lt;h&amp;&amp;(h=d,f=c)}for(var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o&lt;2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a&lt;1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0,c=0;c&lt;3;++c){if(g[c]&lt;-.001||g[c]&gt;1.0001)return null;v+=g[c]}if(Math.abs(v-1)&gt;.001)return null;return[f,function(t,e){for(var r=[0,0,0],n=0;n&lt;t.length;++n)for(var i=t[n],a=e[n],o=0;o&lt;3;++o)r[o]+=a*i[o];return r}(t,g),g]}},{barycentric:17,&quot;polytope-closest-point/lib/closest_point_2d.js&quot;:307}],138:[function(t,e,r){var n=t(&quot;glslify&quot;),i=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n&quot;]),a=n([&quot;#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}&quot;]),l=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}&quot;]),u=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\\n  if(dot(pointR, pointR) &gt; 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}&quot;]),c=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}&quot;]),f=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}&quot;]),h=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}&quot;]),d=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}&quot;]),p=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\n}\\n&quot;]);r.meshShader={vertex:i,fragment:a,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;}]},r.pointShader={vertex:l,fragment:u,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;},{name:&quot;pointSize&quot;,type:&quot;float&quot;}]},r.pickShader={vertex:c,fragment:f,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;pointSize&quot;,type:&quot;float&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;}]},r.contourShader={vertex:d,fragment:p,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;}]}},{glslify:250}],139:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-shader&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;normals&quot;),l=t(&quot;gl-mat4/multiply&quot;),u=t(&quot;gl-mat4/invert&quot;),c=t(&quot;ndarray&quot;),f=t(&quot;colormap&quot;),h=t(&quot;simplicial-complex-contour&quot;),d=t(&quot;typedarray-pool&quot;),p=t(&quot;./lib/shaders&quot;),g=t(&quot;./lib/closest-point&quot;),v=p.meshShader,m=p.wireShader,y=p.pointShader,b=p.pickShader,x=p.pointPickShader,_=p.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function A(t,e,r,n,i,a,o,s,l,u,c,f,h,d,p,g,v,m,y,b,x,_,A,M,T,k,E){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=A,this.pointSizes=M,this.pointIds=x,this.pointVAO=T,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=k,this.contourVAO=E,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var M=A.prototype;function T(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function k(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}M.isOpaque=function(){return this.opacity&gt;=1},M.isTransparent=function(){return this.opacity&lt;1},M.pickSlots=1,M.setPickBase=function(t){this.pickId=t},M.highlight=function(t){if(t&amp;&amp;this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=d.mallocFloat32(6*a),s=0,l=0;l&lt;a;++l)for(var u=r[l],c=0;c&lt;2;++c){var f=u[0];2===u.length&amp;&amp;(f=u[c]);for(var p=n[f][0],g=n[f][1],v=i[f],m=1-v,y=this.positions[p],b=this.positions[g],x=0;x&lt;3;++x)o[s++]=v*y[x]+m*b[x]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),d.free(o)}else this.contourCount=0},M.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,&quot;contourEnable&quot;in t&amp;&amp;(this.contourEnable=t.contourEnable),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=t.contourColor),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;lightPosition&quot;in t&amp;&amp;(this.lightPosition=t.lightPosition),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;ambient&quot;in t&amp;&amp;(this.ambientLight=t.ambient),&quot;diffuse&quot;in t&amp;&amp;(this.diffuseLight=t.diffuse),&quot;specular&quot;in t&amp;&amp;(this.specularLight=t.specular),&quot;roughness&quot;in t&amp;&amp;(this.roughness=t.roughness),&quot;fresnel&quot;in t&amp;&amp;(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&amp;&amp;(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=f({colormap:t,nshades:256,format:&quot;rgba&quot;}),r=new Uint8Array(1024),n=0;n&lt;256;++n){for(var i=e[n],a=0;a&lt;3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&amp;&amp;r){var i=[],a=[],l=[],u=[],h=[],d=[],p=[],g=[],v=[],m=[],y=[],b=[],x=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,A=t.cellNormals,M=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&amp;&amp;!A&amp;&amp;(A=s.faceNormals(r,n,T)),A||w||(w=s.vertexNormals(r,n,M));var k=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],S=t.vertexUVs,C=t.vertexIntensity,O=t.cellUVs,R=t.cellIntensity,P=1/0,z=-1/0;if(!S&amp;&amp;!O)if(C)if(t.vertexIntensityBounds)P=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var I=0;I&lt;C.length;++I){var N=C[I];P=Math.min(P,N),z=Math.max(z,N)}else if(R)for(I=0;I&lt;R.length;++I){N=R[I];P=Math.min(P,N),z=Math.max(z,N)}else for(I=0;I&lt;n.length;++I){N=n[I][2];P=Math.min(P,N),z=Math.max(z,N)}this.intensity=C||(R?function(t,e,r){for(var n=new Array(e),i=0;i&lt;e;++i)n[i]=0;var a=t.length;for(i=0;i&lt;a;++i)for(var o=t[i],s=0;s&lt;o.length;++s)n[o[s]]=r[i];return n}(r,n.length,R):function(t){for(var e=t.length,r=new Array(e),n=0;n&lt;e;++n)r[n]=t[n][2];return r}(n));var D=t.pointSizes,F=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(I=0;I&lt;n.length;++I)for(var j=n[I],B=0;B&lt;3;++B)!isNaN(j[B])&amp;&amp;isFinite(j[B])&amp;&amp;(this.bounds[0][B]=Math.min(this.bounds[0][B],j[B]),this.bounds[1][B]=Math.max(this.bounds[1][B],j[B]));var U=0,V=0,H=0;t:for(I=0;I&lt;r.length;++I){var q=r[I];switch(q.length){case 1:for(j=n[X=q[0]],B=0;B&lt;3;++B)if(isNaN(j[B])||!isFinite(j[B]))continue t;m.push(j[0],j[1],j[2]),3===(W=k?k[X]:E?E[I]:L).length?y.push(W[0],W[1],W[2],1):y.push(W[0],W[1],W[2],W[3]),Y=S?S[X]:C?[(C[X]-P)/(z-P),0]:O?O[I]:R?[(R[I]-P)/(z-P),0]:[(j[2]-P)/(z-P),0],b.push(Y[0],Y[1]),D?x.push(D[X]):x.push(F),_.push(I),H+=1;break;case 2:for(B=0;B&lt;2;++B){j=n[X=q[B]];for(var G=0;G&lt;3;++G)if(isNaN(j[G])||!isFinite(j[G]))continue t}for(B=0;B&lt;2;++B){j=n[X=q[B]];d.push(j[0],j[1],j[2]),3===(W=k?k[X]:E?E[I]:L).length?p.push(W[0],W[1],W[2],1):p.push(W[0],W[1],W[2],W[3]),Y=S?S[X]:C?[(C[X]-P)/(z-P),0]:O?O[I]:R?[(R[I]-P)/(z-P),0]:[(j[2]-P)/(z-P),0],g.push(Y[0],Y[1]),v.push(I)}V+=1;break;case 3:for(B=0;B&lt;3;++B)for(j=n[X=q[B]],G=0;G&lt;3;++G)if(isNaN(j[G])||!isFinite(j[G]))continue t;for(B=0;B&lt;3;++B){var X,W,Y,Z;j=n[X=q[2-B]];i.push(j[0],j[1],j[2]),3===(W=k?k[X]:E?E[I]:L).length?a.push(W[0],W[1],W[2],1):a.push(W[0],W[1],W[2],W[3]),Y=S?S[X]:C?[(C[X]-P)/(z-P),0]:O?O[I]:R?[(R[I]-P)/(z-P),0]:[(j[2]-P)/(z-P),0],u.push(Y[0],Y[1]),Z=w?w[X]:A[I],l.push(Z[0],Z[1],Z[2]),h.push(I)}U+=1}}this.pointCount=H,this.edgeCount=V,this.triangleCount=U,this.pointPositions.update(m),this.pointColors.update(y),this.pointUVs.update(b),this.pointSizes.update(x),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(d),this.edgeColors.update(p),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(v)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},M.drawTransparent=M.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);l(c,s.view,s.model),l(c,s.projection,c),u(c,c);for(o=0;o&lt;3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o&lt;3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o&lt;3;++o){for(var d=c[12+o],p=0;p&lt;3;++p)d+=c[4*p+o]*this.lightPosition[p];s.lightPosition[o]=d/h}this.triangleCount&gt;0&amp;&amp;((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount&gt;0&amp;&amp;this.lineWidth&gt;0&amp;&amp;((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount&gt;0&amp;&amp;((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&amp;&amp;this.contourCount&gt;0&amp;&amp;this.contourLineWidth&gt;0&amp;&amp;((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},M.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount&gt;0&amp;&amp;(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount&gt;0&amp;&amp;(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount&gt;0)&amp;&amp;((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},M.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a&lt;r.length;++a)i[a]=n[r[a]];var o=g(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;var s=o[2],l=0;for(a=0;a&lt;r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},M.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){if(1===arguments.length&amp;&amp;(t=(e=t).gl),!(t.getExtension(&quot;OES_standard_derivatives&quot;)||t.getExtension(&quot;MOZ_OES_standard_derivatives&quot;)||t.getExtension(&quot;WEBKIT_OES_standard_derivatives&quot;)))throw new Error(&quot;derivatives not supported&quot;);var r=function(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=T(t),u=k(t),f=E(t),h=L(t),d=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));d.generateMipmap(),d.minFilter=t.LINEAR_MIPMAP_LINEAR,d.magFilter=t.LINEAR;var p=i(t),g=i(t),y=i(t),b=i(t),x=i(t),_=a(t,[{buffer:p,type:t.FLOAT,size:3},{buffer:x,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:b,type:t.FLOAT,size:3}]),w=i(t),M=i(t),S=i(t),C=i(t),O=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:M,type:t.FLOAT,size:4},{buffer:S,type:t.FLOAT,size:2}]),R=i(t),P=i(t),z=i(t),I=i(t),N=i(t),D=a(t,[{buffer:R,type:t.FLOAT,size:3},{buffer:N,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:P,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:I,type:t.FLOAT,size:1}]),F=i(t),j=new A(t,d,r,s,l,u,f,h,p,x,g,y,b,_,w,C,M,S,O,R,N,P,z,I,D,F,a(t,[{buffer:F,type:t.FLOAT,size:3}]));return j.update(e),j}},{&quot;./lib/closest-point&quot;:137,&quot;./lib/shaders&quot;:138,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-shader&quot;:149,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,normals:288,&quot;simplicial-complex-contour&quot;:330,&quot;typedarray-pool&quot;:348}],140:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];&quot;distanceLimits&quot;in e&amp;&amp;(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);&quot;zoomMin&quot;in e&amp;&amp;(r[0]=e.zoomMin);&quot;zoomMax&quot;in e&amp;&amp;(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||&quot;orbit&quot;,distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,d=t.clientHeight,p={keyBindingMode:&quot;rotate&quot;,enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&amp;&amp;&quot;orthographic&quot;===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s&lt;16;++s)a=a&amp;&amp;c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&amp;&amp;t.clientHeight===d;return h=t.clientWidth,d=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(p,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),&quot;turntable&quot;===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(&quot;contextmenu&quot;,function(t){return t.preventDefault(),!1}),p._lastX=-1,p._lastY=-1,p._lastMods={shift:!1,control:!1,alt:!1,meta:!1},p.enableMouseListeners=function(){function e(e,r,i,a){var o=p.keyBindingMode;if(!1!==o){var s=&quot;rotate&quot;===o,l=&quot;pan&quot;===o,c=&quot;zoom&quot;===o,h=!!a.control,d=!!a.alt,g=!!a.shift,v=!!(1&amp;e),m=!!(2&amp;e),y=!!(4&amp;e),b=1/t.clientHeight,x=b*(r-p._lastX),_=b*(i-p._lastY),w=p.flipX?1:-1,A=p.flipY?1:-1,M=Math.PI*p.rotateSpeed,T=n();if(-1!==p._lastX&amp;&amp;-1!==p._lastY&amp;&amp;((s&amp;&amp;v&amp;&amp;!h&amp;&amp;!d&amp;&amp;!g||v&amp;&amp;!h&amp;&amp;!d&amp;&amp;g)&amp;&amp;u.rotate(T,w*M*x,-A*M*_,0),(l&amp;&amp;v&amp;&amp;!h&amp;&amp;!d&amp;&amp;!g||m||v&amp;&amp;h&amp;&amp;!d&amp;&amp;!g)&amp;&amp;u.pan(T,-p.translateSpeed*x*f,p.translateSpeed*_*f,0),c&amp;&amp;v&amp;&amp;!h&amp;&amp;!d&amp;&amp;!g||y||v&amp;&amp;!h&amp;&amp;d&amp;&amp;!g)){var k=-p.zoomSpeed*_/window.innerHeight*(T-u.lastT())*100;u.pan(T,0,0,f*(Math.exp(k)-1))}return p._lastX=r,p._lastY=i,p._lastMods=a,!0}}p.mouseListener=a(t,e),t.addEventListener(&quot;touchstart&quot;,function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],p._lastMods),e(1,n[0],n[1],p._lastMods),r.preventDefault()},!!l&amp;&amp;{passive:!1}),t.addEventListener(&quot;touchmove&quot;,function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],p._lastMods),r.preventDefault()},!!l&amp;&amp;{passive:!1}),t.addEventListener(&quot;touchend&quot;,function(t){e(0,p._lastX,p._lastY,p._lastMods),t.preventDefault()},!!l&amp;&amp;{passive:!1}),p.wheelListener=o(t,function(t,e){if(!1!==p.keyBindingMode&amp;&amp;p.enableWheel){var r=p.flipX?1:-1,i=p.flipY?1:-1,a=n();if(Math.abs(t)&gt;Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*p.rotateSpeed/window.innerWidth);else if(!p._ortho){var o=-p.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}},!0)},p.enableMouseListeners(),p};var n=t(&quot;right-now&quot;),i=t(&quot;3d-view&quot;),a=t(&quot;mouse-change&quot;),o=t(&quot;mouse-wheel&quot;),s=t(&quot;mouse-event-offset&quot;),l=t(&quot;has-passive-events&quot;)},{&quot;3d-view&quot;:10,&quot;has-passive-events&quot;:252,&quot;mouse-change&quot;:271,&quot;mouse-event-offset&quot;:272,&quot;mouse-wheel&quot;:274,&quot;right-now&quot;:316}],141:[function(t,e,r){var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}&quot;]),o=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}&quot;]);e.exports=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec2&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],142:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./camera.js&quot;),i=t(&quot;gl-axes3d&quot;),a=t(&quot;gl-axes3d/properties&quot;),o=t(&quot;gl-spikes3d&quot;),s=t(&quot;gl-select-static&quot;),l=t(&quot;gl-fbo&quot;),u=t(&quot;a-big-triangle&quot;),c=t(&quot;mouse-change&quot;),f=t(&quot;mouse-wheel&quot;),h=t(&quot;gl-mat4/perspective&quot;),d=t(&quot;gl-mat4/ortho&quot;),p=t(&quot;./lib/shader&quot;),g=t(&quot;is-mobile&quot;)({tablet:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e&lt;0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e&gt;0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function y(t){return&quot;boolean&quot;!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e)if(e=document.createElement(&quot;canvas&quot;),t.container){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var b=t.gl;b||(b=function(t,e){var r=null;try{(r=t.getContext(&quot;webgl&quot;,e))||(r=t.getContext(&quot;experimental-webgl&quot;,e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:g}));if(!b)throw new Error(&quot;webgl not supported&quot;);var x=t.bounds||[[-10,-10,-10],[10,10,10]],_=new v,w=l(b,[b.drawingBufferWidth,b.drawingBufferHeight],{preferFloat:!g}),A=p(b),M=t.cameraObject&amp;&amp;!0===t.cameraObject._ortho||t.camera.projection&amp;&amp;&quot;orthographic&quot;===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||&quot;turntable&quot;,_ortho:M},k=t.axes||{},E=i(b,k);E.enable=!k.disable;var L=t.spikes||{},S=o(b,L),C=[],O=[],R=[],P=[],z=!0,I=!0,N=new Array(16),D=new Array(16),F={view:null,projection:N,model:D,_ortho:!1},I=!0,j=[b.drawingBufferWidth,b.drawingBufferHeight],B=t.cameraObject||n(e,T),U={gl:b,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:_,camera:B,axes:E,axesPixels:null,spikes:S,bounds:x,objects:C,shape:j,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:F,oncontextloss:null,mouseListener:null,_stopped:!1},V=[b.drawingBufferWidth/U.pixelRatio|0,b.drawingBufferHeight/U.pixelRatio|0];function H(){if(!U._stopped&amp;&amp;U.autoResize){var t=e.parentNode,r=1,n=1;t&amp;&amp;t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*U.pixelRatio),a=0|Math.ceil(n*U.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||&quot;absolute&quot;,o.left=&quot;0px&quot;,o.top=&quot;0px&quot;,o.width=r+&quot;px&quot;,o.height=n+&quot;px&quot;,z=!0}}}U.autoResize&amp;&amp;H();function q(){for(var t=C.length,e=P.length,r=0;r&lt;e;++r)R[r]=0;t:for(var r=0;r&lt;t;++r){var n=C[r],i=n.pickSlots;if(i){for(var a=0;a&lt;e;++a)if(R[a]+i&lt;255){O[r]=a,n.setPickBase(R[a]+1),R[a]+=i;continue t}var o=s(b,j);O[r]=e,P.push(o),R.push(i),n.setPickBase(1),e+=1}else O[r]=-1}for(;e&gt;0&amp;&amp;0===R[e-1];)R.pop(),P.pop().dispose()}function G(){if(U.contextLost)return!0;b.isContextLost()&amp;&amp;(U.contextLost=!0,U.mouseListener.enabled=!1,U.selection.object=null,U.oncontextloss&amp;&amp;U.oncontextloss())}window.addEventListener(&quot;resize&quot;,H),U.update=function(t){U._stopped||(t=t||{},z=!0,I=!0)},U.add=function(t){U._stopped||(t.axes=E,C.push(t),O.push(-1),z=!0,I=!0,q())},U.remove=function(t){if(!U._stopped){var e=C.indexOf(t);e&lt;0||(C.splice(e,1),O.pop(),z=!0,I=!0,q())}},U.dispose=function(){if(!U._stopped&amp;&amp;(U._stopped=!0,window.removeEventListener(&quot;resize&quot;,H),e.removeEventListener(&quot;webglcontextlost&quot;,G),U.mouseListener.enabled=!1,!U.contextLost)){E.dispose(),S.dispose();for(var t=0;t&lt;C.length;++t)C[t].dispose();w.dispose();for(var t=0;t&lt;P.length;++t)P[t].dispose();A.dispose(),b=null,E=null,S=null,C=[]}},U.wheelListener=f(e,function(t,e){if(!1!==B.keyBindingMode&amp;&amp;B.enableWheel&amp;&amp;B._ortho){var r=t&gt;e?1.1:1/1.1;U.aspect[0]*=r,U.aspect[1]*=r,U.aspect[2]*=r,U.redraw()}},!0),U._mouseRotating=!1,U._prevButtons=0,U.enableMouseListeners=function(){U.mouseListener=c(e,function(t,e,r){if(!U._stopped){var n=P.length,i=C.length,a=_.object;_.distance=1/0,_.mouse[0]=e,_.mouse[1]=r,_.object=null,_.screen=null,_.dataCoordinate=_.dataPosition=null;var o=!1;if(t&amp;&amp;U._prevButtons)U._mouseRotating=!0;else{U._mouseRotating&amp;&amp;(I=!0),U._mouseRotating=!1;for(var s=0;s&lt;n;++s){var l=P[s].query(e,V[1]-r-1,U.pickRadius);if(l){if(l.distance&gt;_.distance)continue;for(var u=0;u&lt;i;++u){var c=C[u];if(O[u]===s){var f=c.pick(l);f&amp;&amp;(_.buttons=t,_.screen=l.coord,_.distance=l.distance,_.object=c,_.index=f.distance,_.dataPosition=f.position,_.dataCoordinate=f.dataCoordinate,_.data=f,o=!0)}}}}}a&amp;&amp;a!==_.object&amp;&amp;(a.highlight&amp;&amp;a.highlight(null),z=!0),_.object&amp;&amp;(_.object.highlight&amp;&amp;_.object.highlight(_.data),z=!0),(o=o||_.object!==a)&amp;&amp;U.onselect&amp;&amp;U.onselect(_),1&amp;t&amp;&amp;!(1&amp;U._prevButtons)&amp;&amp;U.onclick&amp;&amp;U.onclick(_),U._prevButtons=t}})},e.addEventListener(&quot;webglcontextlost&quot;,G);var X=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],W=[X[0].slice(),X[1].slice()];function Y(){if(!G()){H();var t=U.camera.tick();F.view=U.camera.matrix,z=z||t,I=I||t,E.pixelRatio=U.pixelRatio,S.pixelRatio=U.pixelRatio;var e=C.length,r=X[0],n=X[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var i=0;i&lt;e;++i){var o=C[i];o.pixelRatio=U.pixelRatio,o.axes=U.axes,z=z||!!o.dirty,I=I||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],c=s[1],f=0;f&lt;3;++f)r[f]=Math.min(r[f],l[f]),n[f]=Math.max(n[f],c[f])}var p=U.bounds;if(U.autoBounds)for(var f=0;f&lt;3;++f){if(n[f]&lt;r[f])r[f]=-1,n[f]=1;else{r[f]===n[f]&amp;&amp;(r[f]-=1,n[f]+=1);var g=.05*(n[f]-r[f]);r[f]=r[f]-g,n[f]=n[f]+g}p[0][f]=r[f],p[1][f]=n[f]}for(var v=!1,f=0;f&lt;3;++f)v=v||W[0][f]!==p[0][f]||W[1][f]!==p[1][f],W[0][f]=p[0][f],W[1][f]=p[1][f];if(I=I||v,z=z||v){if(v){for(var y=[0,0,0],i=0;i&lt;3;++i)y[i]=m((p[1][i]-p[0][i])/10);E.autoTicks?E.update({bounds:p,tickSpacing:y}):E.update({bounds:p})}var x=b.drawingBufferWidth,T=b.drawingBufferHeight;j[0]=x,j[1]=T,V[0]=0|Math.max(x/U.pixelRatio,1),V[1]=0|Math.max(T/U.pixelRatio,1),M?(d(N,-x/T,x/T,-1,1,U.zNear,U.zFar),F._ortho=!0):(h(N,U.fovy,x/T,U.zNear,U.zFar),F._ortho=!1);for(var i=0;i&lt;16;++i)D[i]=0;D[15]=1;for(var k=0,i=0;i&lt;3;++i)k=Math.max(k,p[1][i]-p[0][i]);for(var i=0;i&lt;3;++i)U.autoScale?D[5*i]=U.aspect[i]/(p[1][i]-p[0][i]):D[5*i]=1/k,U.autoCenter&amp;&amp;(D[12+i]=.5*-D[5*i]*(p[0][i]+p[1][i]));for(var i=0;i&lt;e;++i){var o=C[i];o.axesBounds=p,U.clipToBounds&amp;&amp;(o.clipBounds=p)}_.object&amp;&amp;(U.snapToData?S.position=_.dataCoordinate:S.position=_.dataPosition,S.bounds=p),I&amp;&amp;(I=!1,function(){if(G())return;b.colorMask(!0,!0,!0,!0),b.depthMask(!0),b.disable(b.BLEND),b.enable(b.DEPTH_TEST);for(var t=C.length,e=P.length,r=0;r&lt;e;++r){var n=P[r];n.shape=V,n.begin();for(var i=0;i&lt;t;++i)if(O[i]===r){var a=C[i];a.drawPick&amp;&amp;(a.pixelRatio=1,a.drawPick(F))}n.end()}}()),U.axesPixels=a(U.axes,F,x,T),U.onrender&amp;&amp;U.onrender(),b.bindFramebuffer(b.FRAMEBUFFER,null),b.viewport(0,0,x,T);var L=U.clearColor;b.clearColor(L[0],L[1],L[2],L[3]),b.clear(b.COLOR_BUFFER_BIT|b.DEPTH_BUFFER_BIT),b.depthMask(!0),b.colorMask(!0,!0,!0,!0),b.enable(b.DEPTH_TEST),b.depthFunc(b.LEQUAL),b.disable(b.BLEND),b.disable(b.CULL_FACE);var R=!1;E.enable&amp;&amp;(R=R||E.isTransparent(),E.draw(F)),S.axes=E,_.object&amp;&amp;S.draw(F),b.disable(b.CULL_FACE);for(var i=0;i&lt;e;++i){var o=C[i];o.axes=E,o.pixelRatio=U.pixelRatio,o.isOpaque&amp;&amp;o.isOpaque()&amp;&amp;o.draw(F),o.isTransparent&amp;&amp;o.isTransparent()&amp;&amp;(R=!0)}if(R){w.shape=j,w.bind(),b.clear(b.DEPTH_BUFFER_BIT),b.colorMask(!1,!1,!1,!1),b.depthMask(!0),b.depthFunc(b.LESS),E.enable&amp;&amp;E.isTransparent()&amp;&amp;E.drawTransparent(F);for(var i=0;i&lt;e;++i){var o=C[i];o.isOpaque&amp;&amp;o.isOpaque()&amp;&amp;o.draw(F)}b.enable(b.BLEND),b.blendEquation(b.FUNC_ADD),b.blendFunc(b.ONE,b.ONE_MINUS_SRC_ALPHA),b.colorMask(!0,!0,!0,!0),b.depthMask(!1),b.clearColor(0,0,0,0),b.clear(b.COLOR_BUFFER_BIT),E.isTransparent()&amp;&amp;E.drawTransparent(F);for(var i=0;i&lt;e;++i){var o=C[i];o.isTransparent&amp;&amp;o.isTransparent()&amp;&amp;o.drawTransparent(F)}b.bindFramebuffer(b.FRAMEBUFFER,null),b.blendFunc(b.ONE,b.ONE_MINUS_SRC_ALPHA),b.disable(b.DEPTH_TEST),A.bind(),w.color[0].bind(0),A.uniforms.accumBuffer=0,u(b),b.disable(b.BLEND)}z=!1;for(var i=0;i&lt;e;++i)C[i].dirty=!1}}}return U.enableMouseListeners(),function t(){U._stopped||U.contextLost||(Y(),requestAnimationFrame(t))}(),U.redraw=function(){U._stopped||(z=!0,Y())},U},createCamera:n}},{&quot;./camera.js&quot;:140,&quot;./lib/shader&quot;:141,&quot;a-big-triangle&quot;:11,&quot;gl-axes3d&quot;:95,&quot;gl-axes3d/properties&quot;:102,&quot;gl-fbo&quot;:111,&quot;gl-mat4/ortho&quot;:127,&quot;gl-mat4/perspective&quot;:128,&quot;gl-select-static&quot;:148,&quot;gl-spikes3d&quot;:157,&quot;is-mobile&quot;:260,&quot;mouse-change&quot;:271,&quot;mouse-wheel&quot;:274}],143:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],d=r[0],p=r[1],g=r[2],v=r[3];(a=u*d+c*p+f*g+h*v)&lt;0&amp;&amp;(a=-a,d=-d,p=-p,g=-g,v=-v);1-a&gt;1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*f+l*g,t[3]=s*h+l*v,t}},{}],144:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){return t||0===t?t.toString():&quot;&quot;}},{}],145:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;vectorize-text&quot;);e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:&quot;center&quot;,textBaseline:&quot;middle&quot;,lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&amp;&amp;1!==r){for(l=0;l&lt;s.positions.length;++l)for(u=0;u&lt;s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l&lt;c.positions.length;++l)for(u=0;u&lt;c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l&lt;h;++l){var d=c.positions[l];for(u=0;u&lt;2;++u)f[0][u]=Math.min(f[0][u],d[u]),f[1][u]=Math.max(f[1][u],d[u])}return a[t]=[s,c,f]};var i={}},{&quot;vectorize-text&quot;:351}],146:[function(t,e,r){var n=t(&quot;gl-shader&quot;),i=t(&quot;glslify&quot;),a=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) &lt; 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}&quot;]),o=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) &lt; 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}&quot;]),s=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) &lt; 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n&quot;]),l=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n&quot;]),u=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}&quot;]),c=[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;glyph&quot;,type:&quot;vec2&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},g={vertex:o,fragment:u,attributes:c},v={vertex:s,fragment:u,attributes:c};function m(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return m(t,f)},r.createOrtho=function(t){return m(t,h)},r.createProject=function(t){return m(t,d)},r.createPickPerspective=function(t){return m(t,p)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{&quot;gl-shader&quot;:149,glslify:250}],147:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;is-string-blank&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;typedarray-pool&quot;),s=t(&quot;gl-mat4/multiply&quot;),l=t(&quot;./lib/shaders&quot;),u=t(&quot;./lib/glyphs&quot;),c=t(&quot;./lib/get-simple-string&quot;),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function d(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function p(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t&gt;1?1:t}function v(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new p(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),d=i(e),p=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:d,size:2,type:e.FLOAT},{buffer:p,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),m=new v(e,r,n,o,f,h,d,p,g,s,u,c);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t&lt;3;++t)if(this.axesProject[t]&amp;&amp;this.projectHasAlpha)return!0;return!1},m.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t&lt;3;++t)if(this.axesProject[t]&amp;&amp;!this.projectHasAlpha)return!0;return!1};var y=[0,0],b=[0,0,0],x=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],A=f.slice(),M=[0,0,0],T=[[0,0,0],[0,0,0]];function k(t){return t[0]=t[1]=t[2]=0,t}function E(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function L(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function S(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,p=e.axesBounds,g=function(t){for(var e=T,r=0;r&lt;2;++r)for(var n=0;n&lt;3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&amp;&amp;e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v&lt;3;++v)if(a[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=A,S=0;S&lt;16;++S)m[S]=0;for(S=0;S&lt;4;++S)m[5*S]=1;m[5*v]=0,i[v]&lt;0?m[12+v]=p[0][v]:m[12+v]=p[1][v],s(m,u,m),l.model=m;var C=(v+1)%3,O=(v+2)%3,R=k(b),P=k(x);R[C]=1,P[O]=1;var z=d(0,0,0,E(_,R)),I=d(0,0,0,E(w,P));if(Math.abs(z[1])&gt;Math.abs(I[1])){var N=z;z=I,I=N,N=R,R=P,P=N;var D=C;C=O,O=D}z[0]&lt;0&amp;&amp;(R[C]=-1),I[1]&gt;0&amp;&amp;(P[O]=-1);var F=0,j=0;for(S=0;S&lt;4;++S)F+=Math.pow(u[4*C+S],2),j+=Math.pow(u[4*O+S],2);R[C]/=Math.sqrt(F),P[O]/=Math.sqrt(j),l.axes[0]=R,l.axes[1]=P,l.fragClipBounds[0]=L(M,g[0],v,-1e8),l.fragClipBounds[1]=L(M,g[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth&gt;0&amp;&amp;(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function O(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&amp;&amp;S(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth&gt;0&amp;&amp;(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function R(t,e,r,i){var a;a=Array.isArray(t)?e&lt;t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&amp;&amp;(a=&quot;\\u25bc&quot;,o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){O(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){O(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){O(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]&lt;&lt;8)+(t.value[0]&lt;&lt;16);if(e&gt;=this.pointCount||e&lt;0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i&lt;3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},m.highlight=function(t){if(t){var e=t.index,r=255&amp;e,n=e&gt;&gt;8&amp;255,i=e&gt;&gt;16&amp;255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},m.update=function(t){if(&quot;perspective&quot;in(t=t||{})&amp;&amp;(this.useOrtho=!t.perspective),&quot;orthographic&quot;in t&amp;&amp;(this.useOrtho=!!t.orthographic),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;project&quot;in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(&quot;projectScale&quot;in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,&quot;projectOpacity&quot;in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n&lt;3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]&lt;1&amp;&amp;(this.projectHasAlpha=!0)}this.hasAlpha=!1,&quot;opacity&quot;in t&amp;&amp;(this.opacity=g(t.opacity),this.opacity&lt;1&amp;&amp;(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||&quot;normal&quot;,u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else{i=[],a=[];for(n=0;n&lt;u.length;++n)i[n]=u[n][0],a[n]=u[n][1]}var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,d=t.color,p=t.size,v=t.angle,m=t.lineColor,y=-1,b=0,x=0,_=0;if(s.length){_=s.length;t:for(n=0;n&lt;_;++n){for(var w=s[n],A=0;A&lt;3;++A)if(isNaN(w[A])||!isFinite(w[A]))continue t;var M=(j=R(h,n,l,this.pixelRatio)).mesh,T=j.lines,k=j.bounds;b+=3*M.cells.length,x+=2*T.edges.length}}var E=b+x,L=o.mallocFloat(3*E),S=o.mallocFloat(4*E),C=o.mallocFloat(2*E),O=o.mallocUint32(E);if(E&gt;0){var P=0,z=b,I=[0,0,0,1],N=[0,0,0,1],D=Array.isArray(d)&amp;&amp;Array.isArray(d[0]),F=Array.isArray(m)&amp;&amp;Array.isArray(m[0]);t:for(n=0;n&lt;_;++n){y+=1;for(w=s[n],A=0;A&lt;3;++A){if(isNaN(w[A])||!isFinite(w[A]))continue 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tt=Q[$[J]];C[2*P]=V*(q*tt[0]-G*tt[1]+Y[0]),C[2*P+1]=V*(G*tt[0]+q*tt[1]+Y[1]),P+=1}for(Z=T.edges,Q=T.positions,A=0;A&lt;Z.length;++A)for($=Z[A],J=0;J&lt;2;++J){for(K=0;K&lt;3;++K)L[3*z+K]=w[K];for(K=0;K&lt;4;++K)S[4*z+K]=N[K];O[z]=y;tt=Q[$[J]];C[2*z]=V*(q*tt[0]-G*tt[1]+Y[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+Y[1]),z+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=b,this.lineVertexCount=x,this.pointBuffer.update(L),this.colorBuffer.update(S),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(L),o.free(S),o.free(C),o.free(O)},m.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{&quot;./lib/get-simple-string&quot;:144,&quot;./lib/glyphs&quot;:145,&quot;./lib/shaders&quot;:146,&quot;gl-buffer&quot;:103,&quot;gl-mat4/multiply&quot;:126,&quot;gl-vao&quot;:168,&quot;is-string-blank&quot;:262,&quot;typedarray-pool&quot;:348}],148:[function(t,e,r){&quot;use 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t=this.gl;t&amp;&amp;(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,&quot;number&quot;!=typeof r&amp;&amp;(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),u=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o&lt;=i||c&lt;=u)return null;var f=[o-i,c-u],h=a(this.buffer,[f[0],f[1],4],[4,4*n[0],1],4*(i+n[0]*u)),d=s(h.hi(f[0],f[1],1),r,r),p=d[0],g=d[1];return p&lt;0||Math.pow(this.radius,2)&lt;d[2]?null:new l(p+i|0,g+u|0,h.get(p,g,0),[h.get(p,g,1),h.get(p,g,2),h.get(p,g,3)],Math.sqrt(d[2]))},c.dispose=function(){this.gl&amp;&amp;(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&amp;&amp;clearTimeout(this._readTimeout))}},{&quot;bit-twiddle&quot;:36,&quot;cwise/lib/wrapper&quot;:80,&quot;gl-fbo&quot;:111,ndarray:286,&quot;typedarray-pool&quot;:348}],149:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./lib/create-uniforms&quot;),i=t(&quot;./lib/create-attributes&quot;),a=t(&quot;./lib/reflect&quot;),o=t(&quot;./lib/shader-cache&quot;),s=t(&quot;./lib/runtime-reflect&quot;),l=t(&quot;./lib/GLError&quot;);function u(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var c=u.prototype;function f(t,e){return t.name&lt;e.name?-1:1}c.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e&gt;r)for(t=r;t&lt;e;t++)this.gl.enableVertexAttribArray(t);else if(r&gt;e)for(t=e;t&lt;r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},c.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e&lt;t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&amp;&amp;this._fref.dispose(),this._vref&amp;&amp;this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},c.update=function(t,e,r,u){if(!e||1===arguments.length){var c=t;t=c.vertex,e=c.fragment,r=c.uniforms,u=c.attributes}var h=this,d=h.gl,p=h._vref;h._vref=o.shader(d,d.VERTEX_SHADER,t),p&amp;&amp;p.dispose(),h.vertShader=h._vref.shader;var g=this._fref;if(h._fref=o.shader(d,d.FRAGMENT_SHADER,e),g&amp;&amp;g.dispose(),h.fragShader=h._fref.shader,!r||!u){var v=d.createProgram();if(d.attachShader(v,h.fragShader),d.attachShader(v,h.vertShader),d.linkProgram(v),!d.getProgramParameter(v,d.LINK_STATUS)){var m=d.getProgramInfoLog(v);throw new l(m,&quot;Error linking program:&quot;+m)}r=r||s.uniforms(d,v),u=u||s.attributes(d,v),d.deleteProgram(v)}(u=u.slice()).sort(f);var y,b=[],x=[],_=[];for(y=0;y&lt;u.length;++y){var w=u[y];if(w.type.indexOf(&quot;mat&quot;)&gt;=0){for(var A=0|w.type.charAt(w.type.length-1),M=new Array(A),T=0;T&lt;A;++T)M[T]=_.length,x.push(w.name+&quot;[&quot;+T+&quot;]&quot;),&quot;number&quot;==typeof w.location?_.push(w.location+T):Array.isArray(w.location)&amp;&amp;w.location.length===A&amp;&amp;&quot;number&quot;==typeof w.location[T]?_.push(0|w.location[T]):_.push(-1);b.push({name:w.name,type:w.type,locations:M})}else b.push({name:w.name,type:w.type,locations:[_.length]}),x.push(w.name),&quot;number&quot;==typeof w.location?_.push(0|w.location):_.push(-1)}var k=0;for(y=0;y&lt;_.length;++y)if(_[y]&lt;0){for(;_.indexOf(k)&gt;=0;)k+=1;_[y]=k}var E=new Array(r.length);function L(){h.program=o.program(d,h._vref,h._fref,x,_);for(var t=0;t&lt;r.length;++t)E[t]=d.getUniformLocation(h.program,r[t].name)}L(),h._relink=L,h.types={uniforms:a(r),attributes:a(u)},h.attributes=i(d,h,b,_),Object.defineProperty(h,&quot;uniforms&quot;,n(d,h,r,E))},e.exports=function(t,e,r,n,i){var a=new u(t);return a.update(e,r,n,i),a}},{&quot;./lib/GLError&quot;:150,&quot;./lib/create-attributes&quot;:151,&quot;./lib/create-uniforms&quot;:152,&quot;./lib/reflect&quot;:153,&quot;./lib/runtime-reflect&quot;:154,&quot;./lib/shader-cache&quot;:155}],150:[function(t,e,r){function n(t,e,r){this.shortMessage=e||&quot;&quot;,this.longMessage=r||&quot;&quot;,this.rawError=t||&quot;&quot;,this.message=&quot;gl-shader: &quot;+(e||t||&quot;&quot;)+(r?&quot;\\n&quot;+r:&quot;&quot;),this.stack=(new Error).stack}n.prototype=new Error,n.prototype.name=&quot;GLError&quot;,n.prototype.constructor=n,e.exports=n},{}],151:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,i){for(var a={},l=0,u=r.length;l&lt;u;++l){var c=r[l],f=c.name,h=c.type,d=c.locations;switch(h){case&quot;bool&quot;:case&quot;int&quot;:case&quot;float&quot;:o(t,e,d[0],i,1,a,f);break;default:if(h.indexOf(&quot;vec&quot;)&gt;=0){var p=h.charCodeAt(h.length-1)-48;if(p&lt;2||p&gt;4)throw new n(&quot;&quot;,&quot;Invalid data type for attribute &quot;+f+&quot;: &quot;+h);o(t,e,d[0],i,p,a,f)}else{if(!(h.indexOf(&quot;mat&quot;)&gt;=0))throw new n(&quot;&quot;,&quot;Unknown data type for attribute &quot;+f+&quot;: &quot;+h);var p=h.charCodeAt(h.length-1)-48;if(p&lt;2||p&gt;4)throw new n(&quot;&quot;,&quot;Invalid data type for attribute &quot;+f+&quot;: &quot;+h);s(t,e,d,i,p,a,f)}}}return a};var n=t(&quot;./GLError&quot;);function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;function o(t,e,r,n,a,o,s){for(var l=[&quot;gl&quot;,&quot;v&quot;],u=[],c=0;c&lt;a;++c)l.push(&quot;x&quot;+c),u.push(&quot;x&quot;+c);l.push(&quot;if(x0.length===void 0){return gl.vertexAttrib&quot;+a+&quot;f(v,&quot;+u.join()+&quot;)}else{return gl.vertexAttrib&quot;+a+&quot;fv(v,x0)}&quot;);var f=Function.apply(null,l),h=new i(t,e,r,n,a,f);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(n[r]),f(t,n[r],e),e},get:function(){return h},enumerable:!0})}function s(t,e,r,n,i,a,s){for(var l=new Array(i),u=new Array(i),c=0;c&lt;i;++c)o(t,e,r[c],n,i,l,c),u[c]=l[c];Object.defineProperty(l,&quot;location&quot;,{set:function(t){if(Array.isArray(t))for(var e=0;e&lt;i;++e)u[e].location=t[e];else for(e=0;e&lt;i;++e)u[e].location=t+e;return t},get:function(){for(var t=new Array(i),e=0;e&lt;i;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,a,o,s){e=e||t.FLOAT,a=!!a,o=o||i*i,s=s||0;for(var l=0;l&lt;i;++l){var u=n[r[l]];t.vertexAttribPointer(u,i,e,a,o,s+l*i),t.enableVertexAttribArray(u)}};var f=new Array(i),h=t[&quot;vertexAttrib&quot;+i+&quot;fv&quot;];Object.defineProperty(a,s,{set:function(e){for(var a=0;a&lt;i;++a){var o=n[r[a]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))h.call(t,o,e[a]);else{for(var s=0;s&lt;i;++s)f[s]=e[i*a+s];h.call(t,o,f)}}return e},get:function(){return l},enumerable:!0})}a.pointer=function(t,e,r,n){var i=this._gl,a=this._locations[this._index];i.vertexAttribPointer(a,this._dimension,t||i.FLOAT,!!e,r||0,n||0),i.enableVertexAttribArray(a)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,&quot;location&quot;,{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&amp;&amp;(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}})},{&quot;./GLError&quot;:150}],152:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./reflect&quot;),i=t(&quot;./GLError&quot;);function a(t){return new Function(&quot;y&quot;,&quot;return function(){return y}&quot;)(t)}function o(t,e){for(var r=new Array(t),n=0;n&lt;t;++n)r[n]=e;return r}e.exports=function(t,e,r,s){function l(t,e,r){switch(r){case&quot;bool&quot;:case&quot;int&quot;:case&quot;sampler2D&quot;:case&quot;samplerCube&quot;:return&quot;gl.uniform1i(locations[&quot;+e+&quot;],obj&quot;+t+&quot;)&quot;;case&quot;float&quot;:return&quot;gl.uniform1f(locations[&quot;+e+&quot;],obj&quot;+t+&quot;)&quot;;default:var n=r.indexOf(&quot;vec&quot;);if(!(0&lt;=n&amp;&amp;n&lt;=1&amp;&amp;r.length===4+n)){if(0===r.indexOf(&quot;mat&quot;)&amp;&amp;4===r.length){var a=r.charCodeAt(r.length-1)-48;if(a&lt;2||a&gt;4)throw new i(&quot;&quot;,&quot;Invalid uniform dimension type for matrix &quot;+name+&quot;: &quot;+r);return&quot;gl.uniformMatrix&quot;+a+&quot;fv(locations[&quot;+e+&quot;],false,obj&quot;+t+&quot;)&quot;}throw new i(&quot;&quot;,&quot;Unknown uniform data type for &quot;+name+&quot;: &quot;+r)}var a=r.charCodeAt(r.length-1)-48;if(a&lt;2||a&gt;4)throw new i(&quot;&quot;,&quot;Invalid data type&quot;);switch(r.charAt(0)){case&quot;b&quot;:case&quot;i&quot;:return&quot;gl.uniform&quot;+a+&quot;iv(locations[&quot;+e+&quot;],obj&quot;+t+&quot;)&quot;;case&quot;v&quot;:return&quot;gl.uniform&quot;+a+&quot;fv(locations[&quot;+e+&quot;],obj&quot;+t+&quot;)&quot;;default:throw new i(&quot;&quot;,&quot;Unrecognized data type for vector &quot;+name+&quot;: &quot;+r)}}}function u(e){for(var n=[&quot;return function updateProperty(obj){&quot;],i=function t(e,r){if(&quot;object&quot;!=typeof r)return[[e,r]];var n=[];for(var i in r){var a=r[i],o=e;parseInt(i)+&quot;&quot;===i?o+=&quot;[&quot;+i+&quot;]&quot;:o+=&quot;.&quot;+i,&quot;object&quot;==typeof a?n.push.apply(n,t(o,a)):n.push([o,a])}return n}(&quot;&quot;,e),a=0;a&lt;i.length;++a){var o=i[a],u=o[0],c=o[1];s[c]&amp;&amp;n.push(l(u,c,r[c].type))}n.push(&quot;return obj}&quot;);var f=new Function(&quot;gl&quot;,&quot;locations&quot;,n.join(&quot;\\n&quot;));return f(t,s)}function c(n,l,c){if(&quot;object&quot;==typeof c){var h=f(c);Object.defineProperty(n,l,{get:a(h),set:u(c),enumerable:!0,configurable:!1})}else s[c]?Object.defineProperty(n,l,{get:(d=c,new Function(&quot;gl&quot;,&quot;wrapper&quot;,&quot;locations&quot;,&quot;return function(){return gl.getUniform(wrapper.program,locations[&quot;+d+&quot;])}&quot;)(t,e,s)),set:u(c),enumerable:!0,configurable:!1}):n[l]=function(t){switch(t){case&quot;bool&quot;:return!1;case&quot;int&quot;:case&quot;sampler2D&quot;:case&quot;samplerCube&quot;:case&quot;float&quot;:return 0;default:var e=t.indexOf(&quot;vec&quot;);if(0&lt;=e&amp;&amp;e&lt;=1&amp;&amp;t.length===4+e){var r=t.charCodeAt(t.length-1)-48;if(r&lt;2||r&gt;4)throw new i(&quot;&quot;,&quot;Invalid data type&quot;);return&quot;b&quot;===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf(&quot;mat&quot;)&amp;&amp;4===t.length){var r=t.charCodeAt(t.length-1)-48;if(r&lt;2||r&gt;4)throw new i(&quot;&quot;,&quot;Invalid uniform dimension type for matrix &quot;+name+&quot;: &quot;+t);return o(r*r,0)}throw new i(&quot;&quot;,&quot;Unknown uniform data type for &quot;+name+&quot;: &quot;+t)}}(r[c].type);var d}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r&lt;t.length;++r)c(e,r,t[r])}else for(var n in e={},t)c(e,n,t[n]);return e}var h=n(r,!0);return{get:a(f(h)),set:u(h),enumerable:!0,configurable:!0}}},{&quot;./GLError&quot;:150,&quot;./reflect&quot;:153}],153:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){for(var r={},n=0;n&lt;t.length;++n)for(var i=t[n].name,a=i.split(&quot;.&quot;),o=r,s=0;s&lt;a.length;++s){var l=a[s].split(&quot;[&quot;);if(l.length&gt;1){l[0]in o||(o[l[0]]=[]),o=o[l[0]];for(var u=1;u&lt;l.length;++u){var c=parseInt(l[u]);u&lt;l.length-1||s&lt;a.length-1?(c in o||(u&lt;l.length-1?o[c]=[]:o[c]={}),o=o[c]):o[c]=e?n:t[n].type}}else s&lt;a.length-1?(l[0]in o||(o[l[0]]={}),o=o[l[0]]):o[l[0]]=e?n:t[n].type}return r}},{}],154:[function(t,e,r){&quot;use strict&quot;;r.uniforms=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_UNIFORMS),n=[],i=0;i&lt;r;++i){var o=t.getActiveUniform(e,i);if(o){var s=a(t,o.type);if(o.size&gt;1)for(var l=0;l&lt;o.size;++l)n.push({name:o.name.replace(&quot;[0]&quot;,&quot;[&quot;+l+&quot;]&quot;),type:s});else n.push({name:o.name,type:s})}}return n},r.attributes=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_ATTRIBUTES),n=[],i=0;i&lt;r;++i){var o=t.getActiveAttrib(e,i);o&amp;&amp;n.push({name:o.name,type:a(t,o.type)})}return n};var n={FLOAT:&quot;float&quot;,FLOAT_VEC2:&quot;vec2&quot;,FLOAT_VEC3:&quot;vec3&quot;,FLOAT_VEC4:&quot;vec4&quot;,INT:&quot;int&quot;,INT_VEC2:&quot;ivec2&quot;,INT_VEC3:&quot;ivec3&quot;,INT_VEC4:&quot;ivec4&quot;,BOOL:&quot;bool&quot;,BOOL_VEC2:&quot;bvec2&quot;,BOOL_VEC3:&quot;bvec3&quot;,BOOL_VEC4:&quot;bvec4&quot;,FLOAT_MAT2:&quot;mat2&quot;,FLOAT_MAT3:&quot;mat3&quot;,FLOAT_MAT4:&quot;mat4&quot;,SAMPLER_2D:&quot;sampler2D&quot;,SAMPLER_CUBE:&quot;samplerCube&quot;},i=null;function a(t,e){if(!i){var r=Object.keys(n);i={};for(var a=0;a&lt;r.length;++a){var o=r[a];i[t[o]]=n[o]}}return i[e]}},{}],155:[function(t,e,r){&quot;use strict&quot;;r.shader=function(t,e,r){return c(t).getShaderReference(e,r)},r.program=function(t,e,r,n,i){return c(t).getProgram(e,r,n,i)};var n=t(&quot;./GLError&quot;),i=t(&quot;gl-format-compiler-error&quot;),a=new(&quot;undefined&quot;==typeof WeakMap?t(&quot;weakmap-shim&quot;):WeakMap),o=0;function s(t,e,r,n,i,a,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=a,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,i=r.length;n&lt;i;++n){var a=t.programs[r[n]];a&amp;&amp;(delete t.programs[n],e.deleteProgram(a))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var u=l.prototype;function c(t){var e=a.get(t);return e||(e=new l(t),a.set(t,e)),e}u.getShaderReference=function(t,e){var r=this.gl,a=this.shaders[t===r.FRAGMENT_SHADER|0],l=a[e];if(l&amp;&amp;r.isShader(l.shader))l.count+=1;else{var u=function(t,e,r){var a=t.createShader(e);if(t.shaderSource(a,r),t.compileShader(a),!t.getShaderParameter(a,t.COMPILE_STATUS)){var o=t.getShaderInfoLog(a);try{var s=i(o,r,e)}catch(t){throw console.warn(&quot;Failed to format compiler error: &quot;+t),new n(o,&quot;Error compiling shader:\\n&quot;+o)}throw new n(o,s.short,s.long)}return a}(r,t,e);l=a[e]=new s(o++,e,t,u,[],1,this)}return l},u.getProgram=function(t,e,r,i){var a=[t.id,e.id,r.join(&quot;:&quot;),i.join(&quot;:&quot;)].join(&quot;@&quot;),o=this.programs[a];return o&amp;&amp;this.gl.isProgram(o)||(this.programs[a]=o=function(t,e,r,i,a){var o=t.createProgram();t.attachShader(o,e),t.attachShader(o,r);for(var s=0;s&lt;i.length;++s)t.bindAttribLocation(o,a[s],i[s]);if(t.linkProgram(o),!t.getProgramParameter(o,t.LINK_STATUS)){var l=t.getProgramInfoLog(o);throw new n(l,&quot;Error linking program: &quot;+l)}return o}(this.gl,t.shader,e.shader,r,i),t.programs.push(a),e.programs.push(a)),o}},{&quot;./GLError&quot;:150,&quot;gl-format-compiler-error&quot;:112,&quot;weakmap-shim&quot;:356}],156:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n&quot;]),o=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}&quot;]);e.exports=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec3&quot;},{name:&quot;weight&quot;,type:&quot;float&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],157:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders/index&quot;);e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),u=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),c=a(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var f=new s(t,l,u,c);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,u=[0,0,0],c=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&amp;&amp;(i=this.axes.lastCubeProps.axis);for(var h=u,d=c,p=0;p&lt;3;++p)i&amp;&amp;i[p]&lt;0?(h[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(h[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(p=0;p&lt;3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&amp;&amp;(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&amp;&amp;r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},l.update=function(t){t&amp;&amp;(&quot;bounds&quot;in t&amp;&amp;(this.bounds=t.bounds),&quot;position&quot;in t&amp;&amp;(this.position=t.position),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;colors&quot;in t&amp;&amp;(this.colors=t.colors),&quot;enabled&quot;in t&amp;&amp;(this.enabled=t.enabled),&quot;drawSides&quot;in t&amp;&amp;(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{&quot;./shaders/index&quot;:156,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],158:[function(t,e,r){var n=t(&quot;glslify&quot;),i=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\nuniform float vectorScale;\\nuniform float tubeScale;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model &amp; view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal,0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n&quot;]),a=n([&quot;#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}&quot;]);r.meshShader={vertex:i,fragment:a,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;},{name:&quot;vector&quot;,type:&quot;vec4&quot;}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;},{name:&quot;vector&quot;,type:&quot;vec4&quot;}]}},{glslify:250}],159:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-shader&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;normals&quot;),l=t(&quot;gl-mat4/multiply&quot;),u=t(&quot;gl-mat4/invert&quot;),c=t(&quot;ndarray&quot;),f=t(&quot;colormap&quot;),h=t(&quot;simplicial-complex-contour&quot;),d=t(&quot;typedarray-pool&quot;),p=t(&quot;./shaders&quot;),g=p.meshShader,v=p.pickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,u,c,f,h,d,p,g,v,y,b,x,_,w,A,M){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleNormals=u,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.lineWidth=1,this.edgePositions=f,this.edgeColors=d,this.edgeUVs=p,this.edgeIds=h,this.edgeVAO=g,this.edgeCount=0,this.pointPositions=v,this.pointColors=b,this.pointUVs=x,this.pointSizes=_,this.pointIds=y,this.pointVAO=w,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=M,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!1,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.tubeScale=1,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1],this.pixelRatio=1}var b=y.prototype;function x(t){var e=n(t,v.vertex,v.fragment,null,v.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}b.isOpaque=function(){return this.opacity&gt;=1},b.isTransparent=function(){return this.opacity&lt;1},b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.highlight=function(t){if(t&amp;&amp;this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=d.mallocFloat32(6*a),s=0,l=0;l&lt;a;++l)for(var u=r[l],c=0;c&lt;2;++c){var f=u[0];2===u.length&amp;&amp;(f=u[c]);for(var p=n[f][0],g=n[f][1],v=i[f],m=1-v,y=this.positions[p],b=this.positions[g],x=0;x&lt;3;++x)o[s++]=v*y[x]+m*b[x]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),d.free(o)}else this.contourCount=0},b.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,&quot;contourEnable&quot;in t&amp;&amp;(this.contourEnable=t.contourEnable),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=t.contourColor),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;lightPosition&quot;in t&amp;&amp;(this.lightPosition=t.lightPosition),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;ambient&quot;in t&amp;&amp;(this.ambientLight=t.ambient),&quot;diffuse&quot;in t&amp;&amp;(this.diffuseLight=t.diffuse),&quot;specular&quot;in t&amp;&amp;(this.specularLight=t.specular),&quot;roughness&quot;in t&amp;&amp;(this.roughness=t.roughness),&quot;fresnel&quot;in t&amp;&amp;(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&amp;&amp;(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=f({colormap:t,nshades:256,format:&quot;rgba&quot;}),r=new Uint8Array(1024),n=0;n&lt;256;++n){for(var i=e[n],a=0;a&lt;3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&amp;&amp;r&amp;&amp;i){void 0!==t.tubeScale&amp;&amp;(this.tubeScale=t.tubeScale);var a=[],l=[],u=[],h=[],d=[],p=[],g=[],v=[],m=[],y=[],b=[],x=[],_=[],w=[],A=[];this.cells=r,this.positions=n,this.vectors=i;var M=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,E=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&amp;&amp;!T&amp;&amp;(T=s.faceNormals(r,n,E)),T||M||(M=s.vertexNormals(r,n,k));var L=t.vertexColors,S=t.cellColors,C=t.meshColor||[1,1,1,1],O=t.vertexUVs,R=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,I=1/0,N=-1/0;if(!O&amp;&amp;!P)if(R)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],N=+t.vertexIntensityBounds[1];else for(var D=0;D&lt;R.length;++D){var F=R[D];I=Math.min(I,F),N=Math.max(N,F)}else if(z)for(D=0;D&lt;z.length;++D){F=z[D];I=Math.min(I,F),N=Math.max(N,F)}else for(D=0;D&lt;n.length;++D){F=n[D][2];I=Math.min(I,F),N=Math.max(N,F)}this.intensity=R||(z?function(t,e,r){for(var n=new Array(e),i=0;i&lt;e;++i)n[i]=0;var a=t.length;for(i=0;i&lt;a;++i)for(var o=t[i],s=0;s&lt;o.length;++s)n[o[s]]=r[i];return n}(r,n.length,z):function(t){for(var e=t.length,r=new Array(e),n=0;n&lt;e;++n)r[n]=t[n][2];return r}(n));var j=t.pointSizes,B=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(D=0;D&lt;n.length;++D)for(var U=n[D],V=0;V&lt;3;++V)!isNaN(U[V])&amp;&amp;isFinite(U[V])&amp;&amp;(this.bounds[0][V]=Math.min(this.bounds[0][V],U[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],U[V]));var H=0,q=0,G=0;t:for(D=0;D&lt;r.length;++D){var X=r[D];switch(X.length){case 1:for(U=n[Y=X[0]],V=0;V&lt;3;++V)if(isNaN(U[V])||!isFinite(U[V]))continue t;b.push(U[0],U[1],U[2],U[3]),3===(Z=L?L[Y]:S?S[D]:C).length?x.push(Z[0],Z[1],Z[2],1):x.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],_.push(Q[0],Q[1]),j?w.push(j[Y]):w.push(B),A.push(D),G+=1;break;case 2:for(V=0;V&lt;2;++V){U=n[Y=X[V]];for(var W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t}for(V=0;V&lt;2;++V){U=n[Y=X[V]];g.push(U[0],U[1],U[2]),3===(Z=L?L[Y]:S?S[D]:C).length?v.push(Z[0],Z[1],Z[2],1):v.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],m.push(Q[0],Q[1]),y.push(D)}q+=1;break;case 3:for(V=0;V&lt;3;++V)for(U=n[Y=X[V]],W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t;for(V=0;V&lt;3;++V){var Y;U=n[Y=X[2-V]];a.push(U[0],U[1],U[2],U[3]);var Z,Q,$,J=i[Y];l.push(J[0],J[1],J[2],J[3]),3===(Z=L?L[Y]:S?S[D]:C).length?u.push(Z[0],Z[1],Z[2],1):u.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],d.push(Q[0],Q[1]),$=M?M[Y]:T[D],h.push($[0],$[1],$[2]),p.push(D)}H+=1}}this.pointCount=G,this.edgeCount=q,this.triangleCount=H,this.pointPositions.update(b),this.pointColors.update(x),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(A)),this.edgePositions.update(g),this.edgeColors.update(v),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(u),this.triangleUVs.update(d),this.triangleNormals.update(h),this.triangleIds.update(new Uint32Array(p))}},b.drawTransparent=b.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:m.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);l(c,s.view,s.model),l(c,s.projection,c),u(c,c);for(o=0;o&lt;3;++o)s.eyePosition[o]=c[12+o]/c[15];var f=c[15];for(o=0;o&lt;3;++o)f+=this.lightPosition[o]*c[4*o+3];for(o=0;o&lt;3;++o){for(var h=c[12+o],d=0;d&lt;3;++d)h+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=h/f}if(this.triangleCount&gt;0){var p=this.triShader;p.bind(),p.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},b.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount&gt;0&amp;&amp;(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount&gt;0&amp;&amp;(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind())},b.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3);return{index:e,position:n,intensity:this.intensity[r[1]],velocity:this.vectors[r[1]].slice(0,3),divergence:this.vectors[r[1]][3],dataCoordinate:n}},b.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose()},e.exports=function(t,e){1===arguments.length&amp;&amp;(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=x(t),l=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var u=i(t),f=i(t),h=i(t),d=i(t),p=i(t),v=i(t),m=a(t,[{buffer:u,type:t.FLOAT,size:4},{buffer:v,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:h,type:t.FLOAT,size:4},{buffer:d,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:3},{buffer:f,type:t.FLOAT,size:4}]),b=i(t),_=i(t),w=i(t),A=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:A,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),T=i(t),k=i(t),E=i(t),L=i(t),S=i(t),C=a(t,[{buffer:T,type:t.FLOAT,size:3},{buffer:S,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:E,type:t.FLOAT,size:2},{buffer:L,type:t.FLOAT,size:1}]),O=i(t),R=new y(t,l,r,s,u,f,v,h,d,p,m,b,A,_,w,M,T,S,k,E,L,C,O,a(t,[{buffer:O,type:t.FLOAT,size:3}]));return R.update(e),R}},{&quot;./shaders&quot;:158,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-shader&quot;:149,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,normals:288,&quot;simplicial-complex-contour&quot;:330,&quot;typedarray-pool&quot;:348}],160:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-vec3&quot;),i=t(&quot;gl-vec4&quot;),a=function(t,e,r,a){for(var o=0,s=0;s&lt;t.length;s++)for(var l=t[s].velocities,u=0;u&lt;l.length;u++){var c=n.length(l[u]);c&gt;o&amp;&amp;(o=c)}var f=t.map(function(t){return function(t,e,r,a){var o,s,l,u=t.points,c=t.velocities,f=t.divergences;n.set(n.create(),0,1,0),n.create(),n.create();n.create();for(var h=[],d=[],p=[],g=[],v=[],m=[],y=0,b=0,x=i.create(),_=i.create(),w=0;w&lt;u.length;w++){o=u[w],s=c[w],l=f[w],0===e&amp;&amp;(l=.05*r),b=n.length(s)/a,x=i.create(),n.copy(x,s),x[3]=l;for(var A=0;A&lt;8;A++)v[A]=[o[0],o[1],o[2],A];if(g.length&gt;0)for(A=0;A&lt;8;A++){var M=(A+1)%8;h.push(g[A],v[A],v[M],v[M],g[M],g[A]),p.push(_,x,x,x,_,_),m.push(y,b,b,b,y,y),d.push([h.length-6,h.length-5,h.length-4],[h.length-3,h.length-2,h.length-1])}var T=g;g=v,v=T,T=_,_=x,x=T,T=y,y=b,b=T}return{positions:h,cells:d,vectors:p,vertexIntensity:m}}(t,r,a,o)}),h=[],d=[],p=[],g=[];for(s=0;s&lt;f.length;s++){var v=f[s],m=h.length;h=h.concat(v.positions),p=p.concat(v.vectors),g=g.concat(v.vertexIntensity);for(u=0;u&lt;v.cells.length;u++){var y=v.cells[u],b=[];d.push(b);for(var x=0;x&lt;y.length;x++)b.push(y[x]+m)}}return{positions:h,cells:d,vectors:p,vertexIntensity:g,colormap:e}},o=function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=this.getVelocity(r);n.subtract(a,a,e),n.scale(a,a,1e4),n.add(r,t,[0,i,0]);var o=this.getVelocity(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,i]);var s=this.getVelocity(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,a,o),n.add(r,r,s),r},s=function(t){return h(t,this.vectors,this.meshgrid,this.clampBorders)},l=function(t,e){for(var r=0;r&lt;t.length;r++){var n=t[r];if(n===e)return r;if(n&gt;e)return r-1}return r},u=n.create(),c=n.create(),f=function(t,e,r){return t&lt;e?e:t&gt;r?r:t},h=function(t,e,r,i){var a=t[0],o=t[1],s=t[2],h=r[0].length,d=r[1].length,p=r[2].length,g=l(r[0],a),v=l(r[1],o),m=l(r[2],s),y=g+1,b=v+1,x=m+1;if(r[0][g]===a&amp;&amp;(y=g),r[1][v]===o&amp;&amp;(b=v),r[2][m]===s&amp;&amp;(x=m),i&amp;&amp;(g=f(g,0,h-1),y=f(y,0,h-1),v=f(v,0,d-1),b=f(b,0,d-1),m=f(m,0,p-1),x=f(x,0,p-1)),g&lt;0||v&lt;0||m&lt;0||y&gt;=h||b&gt;=d||x&gt;=p)return n.create();var _=(a-r[0][g])/(r[0][y]-r[0][g]),w=(o-r[1][v])/(r[1][b]-r[1][v]),A=(s-r[2][m])/(r[2][x]-r[2][m]);(_&lt;0||_&gt;1||isNaN(_))&amp;&amp;(_=0),(w&lt;0||w&gt;1||isNaN(w))&amp;&amp;(w=0),(A&lt;0||A&gt;1||isNaN(A))&amp;&amp;(A=0);var M=m*h*d,T=x*h*d,k=v*h,E=b*h,L=g,S=y,C=e[k+M+L],O=e[k+M+S],R=e[E+M+L],P=e[E+M+S],z=e[k+T+L],I=e[k+T+S],N=e[E+T+L],D=e[E+T+S],F=n.create();return n.lerp(F,C,O,_),n.lerp(u,R,P,_),n.lerp(F,F,u,w),n.lerp(u,z,I,_),n.lerp(c,N,D,_),n.lerp(u,u,c,w),n.lerp(F,F,u,A),F},d=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=1;r&lt;t.length;r++){var n=Math.abs(t[r]-t[r-1]);n&lt;e&amp;&amp;(e=n)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,l=t.tubeSize||1,u=t.absoluteTubeSize;t.getDivergence||(t.getDivergence=o),t.getVelocity||(t.getVelocity=s),void 0===t.clampBorders&amp;&amp;(t.clampBorders=!0);var c=[],f=e[0][0],h=e[0][1],p=e[0][2],g=e[1][0],v=e[1][1],m=e[1][2],y=function(t,e){var r=e[0],n=e[1],i=e[2];return r&gt;=f&amp;&amp;r&lt;=g&amp;&amp;n&gt;=h&amp;&amp;n&lt;=v&amp;&amp;i&gt;=p&amp;&amp;i&lt;=m},b=10*n.distance(e[0],e[1])/i,x=b*b,_=1,w=0;n.create();r.length&gt;=2&amp;&amp;(_=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=0;s&lt;t.length;s++){var l=t[s],u=l[0],c=l[1],f=l[2];i[u]||(e.push(u),i[u]=!0),a[c]||(r.push(c),a[c]=!0),o[f]||(n.push(f),o[f]=!0)}var h=d(e),p=d(r),g=d(n),v=Math.min(h,p,g);return isFinite(v)?v:1}(r));for(var A=0;A&lt;r.length;A++){var M=n.create();n.copy(M,r[A]);var T=[M],k=[],E=t.getVelocity(M),L=M;k.push(E);var S=[],C=t.getDivergence(M,E);(z=n.length(C))&gt;w&amp;&amp;!isNaN(z)&amp;&amp;isFinite(z)&amp;&amp;(w=z),S.push(z),c.push({points:T,velocities:k,divergences:S});for(var O=0;O&lt;100*i&amp;&amp;T.length&lt;i&amp;&amp;y(0,M);){O++;var R=n.clone(E),P=n.squaredLength(R);if(0===P)break;if(P&gt;x&amp;&amp;n.scale(R,R,b/Math.sqrt(P)),n.add(R,R,M),E=t.getVelocity(R),n.squaredDistance(L,R)-x&gt;-1e-4*x){T.push(R),L=R,k.push(E);C=t.getDivergence(R,E);(z=n.length(C))&gt;w&amp;&amp;!isNaN(z)&amp;&amp;isFinite(z)&amp;&amp;(w=z),S.push(z)}M=R}}for(A=0;A&lt;S.length;A++){var z=S[A];!isNaN(z)&amp;&amp;isFinite(z)||(S[A]=w)}var I=a(c,t.colormap,w,_);return u?I.tubeScale=u:(0===w&amp;&amp;(w=1),I.tubeScale=.5*l*_/w),I},e.exports.createTubeMesh=t(&quot;./lib/tubemesh&quot;)},{&quot;./lib/tubemesh&quot;:159,&quot;gl-vec3&quot;:187,&quot;gl-vec4&quot;:223}],161:[function(t,e,r){var n=t(&quot;gl-shader&quot;),i=t(&quot;glslify&quot;),a=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n&quot;]),o=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if ((kill &gt; 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n&quot;]),s=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don&#x27;t do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n&quot;]),l=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill &gt; 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n&quot;]);r.createShader=function(t){var e=n(t,a,o,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;float&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;float&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{&quot;gl-shader&quot;:149,glslify:250}],162:[function(t,e,r){arguments[4][54][0].apply(r,arguments)},{dup:54}],163:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.gl,r=y(e),n=x(e),s=b(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),d=i(e),p=a(e,[{buffer:d,size:2,type:e.FLOAT}]),g=o(e,1,E,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new L(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,g,s,l,f,h,d,p,[0,0,0]),m={levels:[[],[],[]]};for(var A in t)m[A]=t[A];return m.colormap=m.colormap||&quot;jet&quot;,v.update(m),v};var n=t(&quot;bit-twiddle&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;typedarray-pool&quot;),l=t(&quot;colormap&quot;),u=t(&quot;ndarray-ops&quot;),c=t(&quot;ndarray-pack&quot;),f=t(&quot;ndarray&quot;),h=t(&quot;surface-nets&quot;),d=t(&quot;gl-mat4/multiply&quot;),p=t(&quot;gl-mat4/invert&quot;),g=t(&quot;binary-search-bounds&quot;),v=t(&quot;ndarray-gradient&quot;),m=t(&quot;./lib/shaders&quot;),y=m.createShader,b=m.createContourShader,x=m.createPickShader,_=m.createPickContourShader,w=40,A=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],M=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],T=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function k(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t&lt;3;++t){var e=T[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var E=256;function L(t,e,r,n,i,a,o,l,u,c,h,d,p,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=d,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new k([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=p,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=L.prototype;S.isTransparent=function(){return this.opacity&lt;1},S.isOpaque=function(){if(this.opacity&gt;=1)return!0;for(var t=0;t&lt;3;++t)if(this._contourCounts[t].length&gt;0||this._dynamicCounts[t]&gt;0)return!0;return!1},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var C=[0,0,0],O={showSurface:!1,showContour:!1,projections:[A.slice(),A.slice(),A.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function R(t,e){var r,n,i,a=e.axes&amp;&amp;e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r&lt;3;++r)for(o=o||e.surfaceProject[r],n=0;n&lt;3;++n)s=s||e.contourProject[r][n];for(r=0;r&lt;3;++r){var l=O.projections[r];for(n=0;n&lt;16;++n)l[n]=0;for(n=0;n&lt;4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]&gt;0)][r],d(l,t.model,l);var u=O.clipBounds[r];for(i=0;i&lt;2;++i)for(n=0;n&lt;3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return O.showSurface=o,O.showContour=s,O}var P={model:A,view:A,projection:A,inverseModel:A.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},z=A.slice(),I=[1,0,0,0,1,0,0,0,1];function N(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||A,n.view=t.view||A,n.projection=t.projection||A,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=p(n.inverseModel,n.model);for(var i=0;i&lt;2;++i)for(var a=n.clipBounds[i],o=0;o&lt;3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=I,n.vertexColor=this.vertexColor;var s=z;for(d(s,n.view,n.model),d(s,n.projection,s),p(s,s),i=0;i&lt;3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i&lt;3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i&lt;3;++i){var u=s[12+i];for(o=0;o&lt;3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=R(n,this);if(c.showSurface&amp;&amp;e===this.opacity&lt;1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&amp;&amp;this._vertexCount&amp;&amp;this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i&lt;3;++i)this.surfaceProject[i]&amp;&amp;this.vertexCount&amp;&amp;(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour&amp;&amp;!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i&lt;3;++i)for(f.uniforms.permutation=T[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o&lt;this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&amp;&amp;o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&amp;&amp;(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i&lt;3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o&lt;3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=T[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g&lt;this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&amp;&amp;g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&amp;&amp;(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i&lt;3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=T[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o&lt;3;++o)this.contourProject[o][i]&amp;&amp;(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return N.call(this,t,!1)},S.drawTransparent=function(t){return N.call(this,t,!0)};var D={model:A,view:A,projection:A,inverseModel:A,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function F(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function j(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[j(t[0]),j(t[1]),j(t[2])];var e=j(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||A,r.view=t.view||A,r.projection=t.projection||A,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=I;for(var n=0;n&lt;2;++n)for(var i=r.clipBounds[n],a=0;a&lt;3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=R(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n&lt;3;++n)this.surfaceProject[n]&amp;&amp;(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a&lt;3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=T[a],n=0;n&lt;this.contourLevels[a].length;++n)this._contourCounts[a][n]&amp;&amp;(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n&lt;3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a&lt;3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=T[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u&lt;this.contourLevels[a].length;++u)this._contourCounts[a][u]&amp;&amp;(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]&gt;&gt;4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&amp;t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c&lt;2;++c)for(var f=c?a:1-a,h=0;h&lt;2;++h)for(var d=i+c,p=s+h,v=f*(h?l:1-l),m=0;m&lt;3;++m)u[m]+=this._field[m].get(d,p)*v;for(var y=this._pickResult.level,b=0;b&lt;3;++b)if(y[b]=g.le(this.contourLevels[b],u[b]),y[b]&lt;0)this.contourLevels[b].length&gt;0&amp;&amp;(y[b]=0);else if(y[b]&lt;this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])&gt;Math.abs(_-u[b])&amp;&amp;(y[b]+=1)}for(r.index[0]=a&lt;.5?i:i+1,r.index[1]=l&lt;.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;m&lt;3;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,&quot;contourWidth&quot;in t&amp;&amp;(this.contourWidth=F(t.contourWidth,Number)),&quot;showContour&quot;in t&amp;&amp;(this.showContour=F(t.showContour,Boolean)),&quot;showSurface&quot;in t&amp;&amp;(this.showSurface=!!t.showSurface),&quot;contourTint&quot;in t&amp;&amp;(this.contourTint=F(t.contourTint,Boolean)),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=B(t.contourColor)),&quot;contourProject&quot;in t&amp;&amp;(this.contourProject=F(t.contourProject,function(t){return F(t,Boolean)})),&quot;surfaceProject&quot;in t&amp;&amp;(this.surfaceProject=t.surfaceProject),&quot;dynamicColor&quot;in t&amp;&amp;(this.dynamicColor=B(t.dynamicColor)),&quot;dynamicTint&quot;in t&amp;&amp;(this.dynamicTint=F(t.dynamicTint,Number)),&quot;dynamicWidth&quot;in t&amp;&amp;(this.dynamicWidth=F(t.dynamicWidth,Number)),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;colorBounds&quot;in t&amp;&amp;(this.colorBounds=t.colorBounds),&quot;vertexColor&quot;in t&amp;&amp;(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&amp;&amp;t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),&quot;field&quot;in t||&quot;coords&quot;in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i&gt;this._field[2].data.length&amp;&amp;(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o&lt;2;++o)this._field[2].size&gt;this._field[o].data.length&amp;&amp;(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var d=t.coords;if(!Array.isArray(d)||3!==d.length)throw new Error(&quot;gl-surface: invalid coordinates for x/y&quot;);for(o=0;o&lt;2;++o){var p=d[o];for(x=0;x&lt;2;++x)if(p.shape[x]!==a[x])throw new Error(&quot;gl-surface: coords have incorrect shape&quot;);this.padField(this._field[o],p)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(&quot;gl-surface: invalid ticks&quot;);for(o=0;o&lt;2;++o){var m=g[o];if((Array.isArray(m)||m.length)&amp;&amp;(m=f(m)),m.shape[0]!==a[o])throw new Error(&quot;gl-surface: invalid tick length&quot;);var y=f(m.data,a);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o&lt;2;++o){var b=[0,0];b[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],b,0)}this._field[0].set(0,0,0);for(var x=0;x&lt;a[0];++x)this._field[0].set(x+1,0,x);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),x=0;x&lt;a[1];++x)this._field[1].set(0,x+1,x);this._field[1].set(0,a[1]+1,a[1]-1)}var _=this._field,w=f(s.mallocFloat(3*_[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o&lt;3;++o)v(w.pick(o),_[o],&quot;mirror&quot;);var A=f(s.mallocFloat(3*_[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o&lt;a[0]+2;++o)for(x=0;x&lt;a[1]+2;++x){var T=w.get(0,o,x,0),k=w.get(0,o,x,1),L=w.get(1,o,x,0),S=w.get(1,o,x,1),C=w.get(2,o,x,0),O=w.get(2,o,x,1),R=L*O-S*C,P=C*k-O*T,z=T*S-k*L,I=Math.sqrt(R*R+P*P+z*z);I&lt;1e-8?(I=Math.max(Math.abs(R),Math.abs(P),Math.abs(z)))&lt;1e-8?(z=1,P=R=0,I=1):I=1/I:I=1/Math.sqrt(I),A.set(o,x,0,R*I),A.set(o,x,1,P*I),A.set(o,x,2,z*I)}s.free(w.data);var N=[1/0,1/0,1/0],D=[-1/0,-1/0,-1/0],j=1/0,U=-1/0,V=(a[0]-1)*(a[1]-1)*6,H=s.mallocFloat(n.nextPow2(10*V)),q=0,G=0;for(o=0;o&lt;a[0]-1;++o)t:for(x=0;x&lt;a[1]-1;++x){for(var X=0;X&lt;2;++X)for(var W=0;W&lt;2;++W)for(var Y=0;Y&lt;3;++Y){var Z=this._field[Y].get(1+o+X,1+x+W);if(isNaN(Z)||!isFinite(Z))continue t}for(Y=0;Y&lt;6;++Y){var Q=o+M[Y][0],$=x+M[Y][1],J=this._field[0].get(Q+1,$+1),K=this._field[1].get(Q+1,$+1);Z=this._field[2].get(Q+1,$+1),R=A.get(Q+1,$+1,0),P=A.get(Q+1,$+1,1),z=A.get(Q+1,$+1,2),t.intensity&amp;&amp;(tt=t.intensity.get(Q,$));var tt=t.intensity?t.intensity.get(Q,$):Z+this.objectOffset[2];H[q++]=Q,H[q++]=$,H[q++]=J,H[q++]=K,H[q++]=Z,H[q++]=0,H[q++]=tt,H[q++]=R,H[q++]=P,H[q++]=z,N[0]=Math.min(N[0],J+this.objectOffset[0]),N[1]=Math.min(N[1],K+this.objectOffset[1]),N[2]=Math.min(N[2],Z+this.objectOffset[2]),j=Math.min(j,tt),D[0]=Math.max(D[0],J+this.objectOffset[0]),D[1]=Math.max(D[1],K+this.objectOffset[1]),D[2]=Math.max(D[2],Z+this.objectOffset[2]),U=Math.max(U,tt),G+=1}}for(t.intensityBounds&amp;&amp;(j=+t.intensityBounds[0],U=+t.intensityBounds[1]),o=6;o&lt;q;o+=10)H[o]=(H[o]-j)/(U-j);this._vertexCount=G,this._coordinateBuffer.update(H.subarray(0,q)),s.freeFloat(H),s.free(A.data),this.bounds=[N,D],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===j&amp;&amp;this.intensityBounds[1]===U||(r=!0),this.intensityBounds=[j,U]}if(&quot;levels&quot;in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o&lt;3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o&lt;3;++o)for(x=0;x&lt;et[o].length;++x)et[o][x]-=this.objectOffset[o];t:for(o=0;o&lt;3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(x=0;x&lt;et[o].length;++x)if(et[o][x]!==this.contourLevels[o][x]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,a=this.shape;for(var rt=[],nt=0;nt&lt;3;++nt){var it=this.contourLevels[nt],at=[],ot=[],st=[0,0,0];for(o=0;o&lt;it.length;++o){var lt=h(this._field[nt],it[o]);at.push(rt.length/5|0),G=0;t:for(x=0;x&lt;lt.cells.length;++x){var ut=lt.cells[x];for(Y=0;Y&lt;2;++Y){var ct=lt.positions[ut[Y]],ft=ct[0],ht=0|Math.floor(ft),dt=ft-ht,pt=ct[1],gt=0|Math.floor(pt),vt=pt-gt,mt=!1;e:for(var yt=0;yt&lt;3;++yt){st[yt]=0;var bt=(nt+yt+1)%3;for(X=0;X&lt;2;++X){var xt=X?dt:1-dt;for(Q=0|Math.min(Math.max(ht+X,0),a[0]),W=0;W&lt;2;++W){var _t=W?vt:1-vt;if($=0|Math.min(Math.max(gt+W,0),a[1]),Z=yt&lt;2?this._field[bt].get(Q,$):(this.intensity.get(Q,$)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=xt*_t;st[yt]+=wt*Z}}}if(mt){if(Y&gt;0){for(var At=0;At&lt;5;++At)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ct[0],ct[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=at,this._contourCounts[nt]=ot}var Mt=s.mallocFloat(rt.length);for(o=0;o&lt;rt.length;++o)Mt[o]=rt[o];this._contourBuffer.update(Mt),s.freeFloat(Mt)}t.colormap&amp;&amp;this._colorMap.setPixels(function(t){var e=c([l({colormap:t,nshades:E,format:&quot;rgba&quot;}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return u.divseq(e,255),e}(t.colormap))},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t&lt;3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e&lt;3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e&lt;3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&amp;&amp;r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&amp;&amp;r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&amp;&amp;r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o&lt;3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],d=this._field[u],p=h(c,r[o]),g=p.cells,v=p.positions;for(this._dynamicOffsets[o]=n,e=0;e&lt;g.length;++e)for(var m=g[e],y=0;y&lt;2;++y){var b=v[m[y]],x=+b[0],_=0|x,w=0|Math.min(_+1,i[0]),A=x-_,M=1-A,T=+b[1],k=0|T,E=0|Math.min(k+1,i[1]),L=T-k,S=1-L,C=M*S,O=M*L,R=A*S,P=A*L,z=C*f.get(_,k)+O*f.get(_,E)+R*f.get(w,k)+P*f.get(w,E),I=C*d.get(_,k)+O*d.get(_,E)+R*d.get(w,k)+P*d.get(w,E);if(isNaN(z)||isNaN(I)){y&amp;&amp;(n-=1);break}a[2*n+0]=z,a[2*n+1]=I,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{&quot;./lib/shaders&quot;:161,&quot;binary-search-bounds&quot;:162,&quot;bit-twiddle&quot;:36,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,&quot;ndarray-gradient&quot;:277,&quot;ndarray-ops&quot;:280,&quot;ndarray-pack&quot;:281,&quot;surface-nets&quot;:341,&quot;typedarray-pool&quot;:348}],164:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;ndarray&quot;),i=t(&quot;ndarray-ops&quot;),a=t(&quot;typedarray-pool&quot;);e.exports=function(t){if(arguments.length&lt;=1)throw new Error(&quot;gl-texture2d: Missing arguments for texture2d constructor&quot;);o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t);if(&quot;number&quot;==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(&quot;object&quot;==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&amp;&amp;e.data&amp;&amp;e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]&lt;0||o[0]&gt;s||o[1]&lt;0||o[1]&gt;s)throw new Error(&quot;gl-texture2d: Invalid texture size&quot;);var l=p(o,e.stride.slice()),u=0;&quot;float32&quot;===r?u=t.FLOAT:&quot;float64&quot;===r?(u=t.FLOAT,l=!1,r=&quot;float32&quot;):&quot;uint8&quot;===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=&quot;uint8&quot;);var f,d,v=0;if(2===o.length)v=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(&quot;gl-texture2d: Invalid shape for texture&quot;);if(1===o[2])v=t.ALPHA;else if(2===o[2])v=t.LUMINANCE_ALPHA;else if(3===o[2])v=t.RGB;else{if(4!==o[2])throw new Error(&quot;gl-texture2d: Invalid shape for pixel coords&quot;);v=t.RGBA}}u!==t.FLOAT||t.getExtension(&quot;OES_texture_float&quot;)||(u=t.UNSIGNED_BYTE,l=!1);var m=e.size;if(l)f=0===e.offset&amp;&amp;e.data.length===m?e.data:e.data.subarray(e.offset,e.offset+m);else{var y=[o[2],o[2]*o[0],1];d=a.malloc(m,r);var b=n(d,o,y,0);&quot;float32&quot;!==r&amp;&amp;&quot;float64&quot;!==r||u!==t.UNSIGNED_BYTE?i.assign(b,e):c(b,e),f=d.subarray(0,m)}var x=g(t);t.texImage2D(t.TEXTURE_2D,0,v,o[0],o[1],0,v,u,f),l||a.free(d);return new h(t,x,o[0],o[1],v,u)}(t,e)}throw new Error(&quot;gl-texture2d: Invalid arguments for texture2d constructor&quot;)};var o=null,s=null,l=null;function u(t){return&quot;undefined&quot;!=typeof HTMLCanvasElement&amp;&amp;t instanceof HTMLCanvasElement||&quot;undefined&quot;!=typeof HTMLImageElement&amp;&amp;t instanceof HTMLImageElement||&quot;undefined&quot;!=typeof HTMLVideoElement&amp;&amp;t instanceof HTMLVideoElement||&quot;undefined&quot;!=typeof ImageData&amp;&amp;t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e&lt;0||e&gt;i||r&lt;0||r&gt;i)throw new Error(&quot;gl-texture2d: Invalid texture size&quot;);return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=h.prototype;function p(t,e){return 3===t.length?1===e[2]&amp;&amp;e[1]===t[0]*t[2]&amp;&amp;e[0]===t[2]:1===e[0]&amp;&amp;e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e&lt;0||e&gt;a||r&lt;0||r&gt;a)throw new Error(&quot;gl-texture2d: Invalid texture shape&quot;);if(i===t.FLOAT&amp;&amp;!t.getExtension(&quot;OES_texture_float&quot;))throw new Error(&quot;gl-texture2d: Floating point textures not supported on this platform&quot;);var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&amp;&amp;o.indexOf(t)&gt;=0&amp;&amp;(e.getExtension(&quot;OES_texture_float_linear&quot;)||(t=e.NEAREST)),s.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown filter mode &quot;+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&amp;&amp;o.indexOf(t)&gt;=0&amp;&amp;(e.getExtension(&quot;OES_texture_float_linear&quot;)||(t=e.NEAREST)),s.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown filter mode &quot;+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(&quot;EXT_texture_filter_anisotropic&quot;);r&amp;&amp;this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown wrap mode &quot;+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown wrap mode &quot;+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(&quot;gl-texture2d: Must specify wrap mode for rows and columns&quot;);for(var e=0;e&lt;2;++e)if(l.indexOf(t[e])&lt;0)throw new Error(&quot;gl-texture2d: Unknown wrap mode &quot;+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(&quot;gl-texture2d: Invalid texture shape&quot;)}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&amp;&amp;e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t&gt;0;++e,t&gt;&gt;&gt;=1)this._mipLevels.indexOf(e)&lt;0&amp;&amp;this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)&lt;0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&amp;&amp;t.stride&amp;&amp;t.data))throw new Error(&quot;gl-texture2d: Unsupported data type&quot;);if(t.shape.length&lt;2||e+t.shape[1]&gt;this._shape[1]&gt;&gt;&gt;o||r+t.shape[0]&gt;this._shape[0]&gt;&gt;&gt;o||e&lt;0||r&lt;0)throw new Error(&quot;gl-texture2d: Texture dimensions are out of bounds&quot;);!function(t,e,r,o,s,l,u,f){var h=f.dtype,d=f.shape.slice();if(d.length&lt;2||d.length&gt;3)throw new Error(&quot;gl-texture2d: Invalid ndarray, must be 2d or 3d&quot;);var g=0,v=0,m=p(d,f.stride.slice());&quot;float32&quot;===h?g=t.FLOAT:&quot;float64&quot;===h?(g=t.FLOAT,m=!1,h=&quot;float32&quot;):&quot;uint8&quot;===h?g=t.UNSIGNED_BYTE:(g=t.UNSIGNED_BYTE,m=!1,h=&quot;uint8&quot;);if(2===d.length)v=t.LUMINANCE,d=[d[0],d[1],1],f=n(f.data,d,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==d.length)throw new Error(&quot;gl-texture2d: Invalid shape for texture&quot;);if(1===d[2])v=t.ALPHA;else if(2===d[2])v=t.LUMINANCE_ALPHA;else if(3===d[2])v=t.RGB;else{if(4!==d[2])throw new Error(&quot;gl-texture2d: Invalid shape for pixel coords&quot;);v=t.RGBA}d[2]}v!==t.LUMINANCE&amp;&amp;v!==t.ALPHA||s!==t.LUMINANCE&amp;&amp;s!==t.ALPHA||(v=s);if(v!==s)throw new Error(&quot;gl-texture2d: Incompatible texture format for setPixels&quot;);var y=f.size,b=u.indexOf(o)&lt;0;b&amp;&amp;u.push(o);if(g===l&amp;&amp;m)0===f.offset&amp;&amp;f.data.length===y?b?t.texImage2D(t.TEXTURE_2D,o,s,d[0],d[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,d[0],d[1],s,l,f.data):b?t.texImage2D(t.TEXTURE_2D,o,s,d[0],d[1],0,s,l,f.data.subarray(f.offset,f.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,d[0],d[1],s,l,f.data.subarray(f.offset,f.offset+y));else{var x;x=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(x,d,[d[2],d[2]*d[0],1]);g===t.FLOAT&amp;&amp;l===t.UNSIGNED_BYTE?c(_,f):i.assign(_,f),b?t.texImage2D(t.TEXTURE_2D,o,s,d[0],d[1],0,s,l,x.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,d[0],d[1],s,l,x.subarray(0,y)),l===t.FLOAT?a.freeFloat32(x):a.freeUint8(x)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:286,&quot;ndarray-ops&quot;:280,&quot;typedarray-pool&quot;:348}],165:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length&gt;n)throw new Error(&quot;gl-vao: Too many vertex attributes&quot;);for(var i=0;i&lt;r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,u=!!a.normalized,c=a.stride||0,f=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,u,c,f)}else{if(&quot;number&quot;==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error(&quot;gl-vao: Invalid vertex attribute&quot;);t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i&lt;n;++i)t.disableVertexAttribArray(i)}else for(t.bindBuffer(t.ARRAY_BUFFER,null),i=0;i&lt;n;++i)t.disableVertexAttribArray(i)}},{}],166:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./do-bind.js&quot;);function i(t){this.gl=t,this._elements=null,this._attributes=null,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(){n(this.gl,this._elements,this._attributes)},i.prototype.update=function(t,e,r){this._elements=e,this._attributes=t,this._elementsType=r||this.gl.UNSIGNED_SHORT},i.prototype.dispose=function(){},i.prototype.unbind=function(){},i.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._elements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t){return new i(t)}},{&quot;./do-bind.js&quot;:165}],167:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./do-bind.js&quot;);function i(t,e,r,n,i,a){this.location=t,this.dimension=e,this.a=r,this.b=n,this.c=i,this.d=a}function a(t,e,r){this.gl=t,this._ext=e,this.handle=r,this._attribs=[],this._useElements=!1,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(t){switch(this.dimension){case 1:t.vertexAttrib1f(this.location,this.a);break;case 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I=0;I&lt;S;++I)for(var N=0;N&lt;C;++N){var j=[l(I,E[N])];N&gt;0&amp;&amp;j.push(l(I,E[N-1])+&quot;*&quot;+s(E[N-1])),P.push(p(I,E[N])+&quot;=(&quot;+j.join(&quot;-&quot;)+&quot;)|0&quot;)}for(var I=0;I&lt;C;++I)P.push(d(I)+&quot;=0&quot;);P.push(_+&quot;=0&quot;);for(var B=[&quot;2&quot;],I=C-2;I&gt;=0;--I)B.push(s(E[I]));P.push(w+&quot;=(&quot;+B.join(&quot;*&quot;)+&quot;)|0&quot;,x+&quot;=mallocUint32(&quot;+w+&quot;)&quot;,b+&quot;=mallocUint32(&quot;+w+&quot;)&quot;,A+&quot;=0&quot;),P.push(g(0)+&quot;=0&quot;);for(var N=1;N&lt;1&lt;&lt;C;++N){for(var U=[],V=[],F=0;F&lt;C;++F)N&amp;1&lt;&lt;F&amp;&amp;(0===V.length?U.push(&quot;1&quot;):U.unshift(V.join(&quot;*&quot;))),V.push(s(E[F]));var H=&quot;&quot;;U[0].indexOf(s(E[C-2]))&lt;0&amp;&amp;(H=&quot;-&quot;);var q=T(C,N,E);P.push(m(q)+&quot;=(-&quot;+U.join(&quot;-&quot;)+&quot;)|0&quot;,v(q)+&quot;=(&quot;+H+U.join(&quot;-&quot;)+&quot;)|0&quot;,g(q)+&quot;=0&quot;)}function 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n=0;n&lt;S;++n)R.push(f(n),&quot;+=&quot;,p(n,E[e]),&quot;;&quot;);e===C-1&amp;&amp;(R.push(A,&quot;=0;&quot;),W());G(e,2);t(e-1,r);e===C-1&amp;&amp;(R.push(&quot;if(&quot;,d(E[C-1]),&quot;&amp;1){&quot;,A,&quot;=0;}&quot;),W());X(e);R.push(&quot;}&quot;)}(C-1,0),R.push(&quot;freeUint32(&quot;,b,&quot;);freeUint32(&quot;,x,&quot;);&quot;);var Y=[&quot;&#x27;use strict&#x27;;&quot;,&quot;function &quot;,O,&quot;(&quot;,z.join(),&quot;){&quot;,&quot;var &quot;,P.join(),&quot;;&quot;,R.join(&quot;&quot;),&quot;}&quot;,&quot;return &quot;,O].join(&quot;&quot;);return new Function(&quot;vertex&quot;,&quot;face&quot;,&quot;phase&quot;,&quot;mallocUint32&quot;,&quot;freeUint32&quot;,Y)(t,e,r,n.mallocUint32,n.freeUint32)}(t.vertex,t.cell,t.phase,E,r,S)};var b=&quot;V&quot;,x=&quot;P&quot;,_=&quot;N&quot;,w=&quot;Q&quot;,A=&quot;X&quot;,M=&quot;T&quot;;function T(t,e,r){for(var n=0,i=0;i&lt;t;++i)e&amp;1&lt;&lt;i&amp;&amp;(n|=1&lt;&lt;r[i]);return n}},{&quot;typedarray-pool&quot;:348}],276:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;cwise/lib/wrapper&quot;)({args:[&quot;index&quot;,&quot;array&quot;,&quot;scalar&quot;],pre:{body:&quot;{}&quot;,args:[],thisVars:[],localVars:[]},body:{body:&quot;{_inline_37_arg1_=_inline_37_arg2_.apply(void 0,_inline_37_arg0_)}&quot;,args:[{name:&quot;_inline_37_arg0_&quot;,lvalue:!1,rvalue:!0,count:1},{name:&quot;_inline_37_arg1_&quot;,lvalue:!0,rvalue:!1,count:1},{name:&quot;_inline_37_arg2_&quot;,lvalue:!1,rvalue:!0,count:1}],thisVars:[],localVars:[]},post:{body:&quot;{}&quot;,args:[],thisVars:[],localVars:[]},debug:!1,funcName:&quot;cwise&quot;,blockSize:64});e.exports=function(t,e){return n(t,e),t}},{&quot;cwise/lib/wrapper&quot;:80}],277:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r){if(Array.isArray(r)){if(r.length!==e.dimension)throw new Error(&quot;ndarray-gradient: invalid boundary conditions&quot;)}else r=n(e.dimension,&quot;string&quot;==typeof r?r:&quot;clamp&quot;);if(t.dimension!==e.dimension+1)throw new Error(&quot;ndarray-gradient: output dimension must be +1 input dimension&quot;);if(t.shape[e.dimension]!==e.dimension)throw new Error(&quot;ndarray-gradient: output shape must match input shape&quot;);for(var i=0;i&lt;e.dimension;++i)if(t.shape[i]!==e.shape[i])throw new Error(&quot;ndarray-gradient: shape mismatch&quot;);if(0===e.size)return t;if(e.dimension&lt;=0)return t.set(0),t;return function(t){var e=t.join();if(m=o[e])return m;var r=t.length,n=[&quot;function gradient(dst,src){var s=src.shape.slice();&quot;];function i(e){for(var i=r-e.length,a=[],o=[],s=[],l=0;l&lt;r;++l)e.indexOf(l+1)&gt;=0?s.push(&quot;0&quot;):e.indexOf(-(l+1))&gt;=0?s.push(&quot;s[&quot;+l+&quot;]-1&quot;):(s.push(&quot;-1&quot;),a.push(&quot;1&quot;),o.push(&quot;s[&quot;+l+&quot;]-2&quot;));var u=&quot;.lo(&quot;+a.join()+&quot;).hi(&quot;+o.join()+&quot;)&quot;;if(0===a.length&amp;&amp;(u=&quot;&quot;),i&gt;0){n.push(&quot;if(1&quot;);for(var l=0;l&lt;r;++l)e.indexOf(l+1)&gt;=0||e.indexOf(-(l+1))&gt;=0||n.push(&quot;&amp;&amp;s[&quot;,l,&quot;]&gt;2&quot;);n.push(&quot;){grad&quot;,i,&quot;(src.pick(&quot;,s.join(),&quot;)&quot;,u);for(var l=0;l&lt;r;++l)e.indexOf(l+1)&gt;=0||e.indexOf(-(l+1))&gt;=0||n.push(&quot;,dst.pick(&quot;,s.join(),&quot;,&quot;,l,&quot;)&quot;,u);n.push(&quot;);&quot;)}for(var l=0;l&lt;e.length;++l){var c=Math.abs(e[l])-1,f=&quot;dst.pick(&quot;+s.join()+&quot;,&quot;+c+&quot;)&quot;+u;switch(t[c]){case&quot;clamp&quot;:var h=s.slice(),d=s.slice();e[l]&lt;0?h[c]=&quot;s[&quot;+c+&quot;]-2&quot;:d[c]=&quot;1&quot;,0===i?n.push(&quot;if(s[&quot;,c,&quot;]&gt;1){dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0.5*(src.get(&quot;,h.join(),&quot;)-src.get(&quot;,d.join(),&quot;)))}else{dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0)};&quot;):n.push(&quot;if(s[&quot;,c,&quot;]&gt;1){diff(&quot;,f,&quot;,src.pick(&quot;,h.join(),&quot;)&quot;,u,&quot;,src.pick(&quot;,d.join(),&quot;)&quot;,u,&quot;);}else{zero(&quot;,f,&quot;);};&quot;);break;case&quot;mirror&quot;:0===i?n.push(&quot;dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0);&quot;):n.push(&quot;zero(&quot;,f,&quot;);&quot;);break;case&quot;wrap&quot;:var p=s.slice(),g=s.slice();e[l]&lt;0?(p[c]=&quot;s[&quot;+c+&quot;]-2&quot;,g[c]=&quot;0&quot;):(p[c]=&quot;s[&quot;+c+&quot;]-1&quot;,g[c]=&quot;1&quot;),0===i?n.push(&quot;if(s[&quot;,c,&quot;]&gt;2){dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0.5*(src.get(&quot;,p.join(),&quot;)-src.get(&quot;,g.join(),&quot;)))}else{dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0)};&quot;):n.push(&quot;if(s[&quot;,c,&quot;]&gt;2){diff(&quot;,f,&quot;,src.pick(&quot;,p.join(),&quot;)&quot;,u,&quot;,src.pick(&quot;,g.join(),&quot;)&quot;,u,&quot;);}else{zero(&quot;,f,&quot;);};&quot;);break;default:throw new Error(&quot;ndarray-gradient: Invalid boundary condition&quot;)}}i&gt;0&amp;&amp;n.push(&quot;};&quot;)}for(var s=0;s&lt;1&lt;&lt;r;++s){for(var f=[],h=0;h&lt;r;++h)s&amp;1&lt;&lt;h&amp;&amp;f.push(h+1);for(var d=0;d&lt;1&lt;&lt;f.length;++d){for(var p=f.slice(),h=0;h&lt;f.length;++h)d&amp;1&lt;&lt;h&amp;&amp;(p[h]=-p[h]);i(p)}}n.push(&quot;return dst;};return gradient&quot;);for(var g=[&quot;diff&quot;,&quot;zero&quot;],v=[l,u],s=1;s&lt;=r;++s)g.push(&quot;grad&quot;+s),v.push(c(s));g.push(n.join(&quot;&quot;));var m=Function.apply(void 0,g).apply(void 0,v);return a[e]=m,m}(r)(t,e)};var n=t(&quot;dup&quot;),i=t(&quot;cwise-compiler&quot;),a={},o={},s={body:&quot;&quot;,args:[],thisVars:[],localVars:[]},l=i({args:[&quot;array&quot;,&quot;array&quot;,&quot;array&quot;],pre:s,post:s,body:{args:[{name:&quot;out&quot;,lvalue:!0,rvalue:!1,count:1},{name:&quot;left&quot;,lvalue:!1,rvalue:!0,count:1},{name:&quot;right&quot;,lvalue:!1,rvalue:!0,count:1}],body:&quot;out=0.5*(left-right)&quot;,thisVars:[],localVars:[]},funcName:&quot;cdiff&quot;}),u=i({args:[&quot;array&quot;],pre:s,post:s,body:{args:[{name:&quot;out&quot;,lvalue:!0,rvalue:!1,count:1}],body:&quot;out=0&quot;,thisVars:[],localVars:[]},funcName:&quot;zero&quot;});function c(t){if(t in a)return a[t];for(var e=[],r=0;r&lt;t;++r)e.push(&quot;out&quot;,r,&quot;s=0.5*(inp&quot;,r,&quot;l-inp&quot;,r,&quot;r);&quot;);var o=[&quot;array&quot;],l=[&quot;junk&quot;];for(r=0;r&lt;t;++r){o.push(&quot;array&quot;),l.push(&quot;out&quot;+r+&quot;s&quot;);var u=n(t);u[r]=-1,o.push({array:0,offset:u.slice()}),u[r]=1,o.push({array:0,offset:u.slice()}),l.push(&quot;inp&quot;+r+&quot;l&quot;,&quot;inp&quot;+r+&quot;r&quot;)}return a[t]=i({args:o,pre:s,post:s,body:{body:e.join(&quot;&quot;),args:l.map(function(t){return{name:t,lvalue:0===t.indexOf(&quot;out&quot;),rvalue:0===t.indexOf(&quot;inp&quot;),count:&quot;junk&quot;!==t|0}}),thisVars:[],localVars:[]},funcName:&quot;fdTemplate&quot;+t})}},{&quot;cwise-compiler&quot;:77,dup:86}],278:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;ndarray-warp&quot;),i=t(&quot;gl-matrix-invert&quot;);e.exports=function(t,e,r){var a=e.dimension,o=i([],r);return n(t,e,function(t,e){for(var r=0;r&lt;a;++r){t[r]=o[(a+1)*a+r];for(var n=0;n&lt;a;++n)t[r]+=o[(a+1)*n+r]*e[n]}var i=o[(a+1)*(a+1)-1];for(n=0;n&lt;a;++n)i+=o[(a+1)*n+a]*e[n];var s=1/i;for(r=0;r&lt;a;++r)t[r]*=s;return t}),t}},{&quot;gl-matrix-invert&quot;:136,&quot;ndarray-warp&quot;:285}],279:[function(t,e,r){&quot;use strict&quot;;function n(t,e){var r=Math.floor(e),n=e-r,i=0&lt;=r&amp;&amp;r&lt;t.shape[0],a=0&lt;=r+1&amp;&amp;r+1&lt;t.shape[0];return(1-n)*(i?+t.get(r):0)+n*(a?+t.get(r+1):0)}function i(t,e,r){var n=Math.floor(e),i=e-n,a=0&lt;=n&amp;&amp;n&lt;t.shape[0],o=0&lt;=n+1&amp;&amp;n+1&lt;t.shape[0],s=Math.floor(r),l=r-s,u=0&lt;=s&amp;&amp;s&lt;t.shape[1],c=0&lt;=s+1&amp;&amp;s+1&lt;t.shape[1],f=a&amp;&amp;u?t.get(n,s):0,h=a&amp;&amp;c?t.get(n,s+1):0;return(1-l)*((1-i)*f+i*(o&amp;&amp;u?t.get(n+1,s):0))+l*((1-i)*h+i*(o&amp;&amp;c?t.get(n+1,s+1):0))}function a(t,e,r,n){var 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h=[&quot;atan2&quot;,&quot;pow&quot;];!function(){for(var t=0;t&lt;h.length;++t){var 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a(t){switch(t){case&quot;uint8&quot;:return[n.mallocUint8,n.freeUint8];case&quot;uint16&quot;:return[n.mallocUint16,n.freeUint16];case&quot;uint32&quot;:return[n.mallocUint32,n.freeUint32];case&quot;int8&quot;:return[n.mallocInt8,n.freeInt8];case&quot;int16&quot;:return[n.mallocInt16,n.freeInt16];case&quot;int32&quot;:return[n.mallocInt32,n.freeInt32];case&quot;float32&quot;:return[n.mallocFloat,n.freeFloat];case&quot;float64&quot;:return[n.mallocDouble,n.freeDouble];default:return null}}function o(t){for(var e=[],r=0;r&lt;t;++r)e.push(&quot;s&quot;+r);for(r=0;r&lt;t;++r)e.push(&quot;n&quot;+r);for(r=1;r&lt;t;++r)e.push(&quot;d&quot;+r);for(r=1;r&lt;t;++r)e.push(&quot;e&quot;+r);for(r=1;r&lt;t;++r)e.push(&quot;f&quot;+r);return e}e.exports=function(t,e){var r=[&quot;&#x27;use strict&#x27;&quot;],n=[&quot;ndarraySortWrapper&quot;,t.join(&quot;d&quot;),e].join(&quot;&quot;);r.push([&quot;function &quot;,n,&quot;(&quot;,[&quot;array&quot;].join(&quot;,&quot;),&quot;){&quot;].join(&quot;&quot;));for(var s=[&quot;data=array.data,offset=array.offset|0,shape=array.shape,stride=array.stride&quot;],l=0;l&lt;t.length;++l)s.push([&quot;s&quot;,l,&quot;=stride[&quot;,l,&quot;]|0,n&quot;,l,&quot;=shape[&quot;,l,&quot;]|0&quot;].join(&quot;&quot;));var u=new Array(t.length),c=[];for(l=0;l&lt;t.length;++l)0!==(d=t[l])&amp;&amp;(0===c.length?u[d]=&quot;1&quot;:u[d]=c.join(&quot;*&quot;),c.push(&quot;n&quot;+d));var f=-1,h=-1;for(l=0;l&lt;t.length;++l){var d,p=t[l];0!==p&amp;&amp;(f&gt;0?s.push([&quot;d&quot;,p,&quot;=s&quot;,p,&quot;-d&quot;,f,&quot;*n&quot;,f].join(&quot;&quot;)):s.push([&quot;d&quot;,p,&quot;=s&quot;,p].join(&quot;&quot;)),f=p),0!=(d=t.length-1-l)&amp;&amp;(h&gt;0?s.push([&quot;e&quot;,d,&quot;=s&quot;,d,&quot;-e&quot;,h,&quot;*n&quot;,h,&quot;,f&quot;,d,&quot;=&quot;,u[d],&quot;-f&quot;,h,&quot;*n&quot;,h].join(&quot;&quot;)):s.push([&quot;e&quot;,d,&quot;=s&quot;,d,&quot;,f&quot;,d,&quot;=&quot;,u[d]].join(&quot;&quot;)),h=d)}r.push(&quot;var &quot;+s.join(&quot;,&quot;));var g=[&quot;0&quot;,&quot;n0-1&quot;,&quot;data&quot;,&quot;offset&quot;].concat(o(t.length));r.push([&quot;if(n0&lt;=&quot;,i,&quot;){&quot;,&quot;insertionSort(&quot;,g.join(&quot;,&quot;),&quot;)}else{&quot;,&quot;quickSort(&quot;,g.join(&quot;,&quot;),&quot;)}&quot;].join(&quot;&quot;)),r.push(&quot;}return &quot;+n);var v=new Function(&quot;insertionSort&quot;,&quot;quickSort&quot;,r.join(&quot;\\n&quot;)),m=function(t,e){var r=[&quot;&#x27;use strict&#x27;&quot;],n=[&quot;ndarrayInsertionSort&quot;,t.join(&quot;d&quot;),e].join(&quot;&quot;),i=[&quot;left&quot;,&quot;right&quot;,&quot;data&quot;,&quot;offset&quot;].concat(o(t.length)),s=a(e),l=[&quot;i,j,cptr,ptr=left*s0+offset&quot;];if(t.length&gt;1){for(var u=[],c=1;c&lt;t.length;++c)l.push(&quot;i&quot;+c),u.push(&quot;n&quot;+c);s?l.push(&quot;scratch=malloc(&quot;+u.join(&quot;*&quot;)+&quot;)&quot;):l.push(&quot;scratch=new Array(&quot;+u.join(&quot;*&quot;)+&quot;)&quot;),l.push(&quot;dptr&quot;,&quot;sptr&quot;,&quot;a&quot;,&quot;b&quot;)}else l.push(&quot;scratch&quot;);function f(t){return&quot;generic&quot;===e?[&quot;data.get(&quot;,t,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]&quot;].join(&quot;&quot;)}function h(t,r){return&quot;generic&quot;===e?[&quot;data.set(&quot;,t,&quot;,&quot;,r,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]=&quot;,r].join(&quot;&quot;)}if(r.push([&quot;function &quot;,n,&quot;(&quot;,i.join(&quot;,&quot;),&quot;){var &quot;,l.join(&quot;,&quot;)].join(&quot;&quot;),&quot;for(i=left+1;i&lt;=right;++i){&quot;,&quot;j=i;ptr+=s0&quot;,&quot;cptr=ptr&quot;),t.length&gt;1){for(r.push(&quot;dptr=0;sptr=ptr&quot;),c=t.length-1;c&gt;=0;--c)0!==(d=t[c])&amp;&amp;r.push([&quot;for(i&quot;,d,&quot;=0;i&quot;,d,&quot;&lt;n&quot;,d,&quot;;++i&quot;,d,&quot;){&quot;].join(&quot;&quot;));for(r.push(&quot;scratch[dptr++]=&quot;,f(&quot;sptr&quot;)),c=0;c&lt;t.length;++c)0!==(d=t[c])&amp;&amp;r.push(&quot;sptr+=d&quot;+d,&quot;}&quot;);for(r.push(&quot;__g:while(j--\\x3eleft){&quot;,&quot;dptr=0&quot;,&quot;sptr=cptr-s0&quot;),c=1;c&lt;t.length;++c)1===c&amp;&amp;r.push(&quot;__l:&quot;),r.push([&quot;for(i&quot;,c,&quot;=0;i&quot;,c,&quot;&lt;n&quot;,c,&quot;;++i&quot;,c,&quot;){&quot;].join(&quot;&quot;));for(r.push([&quot;a=&quot;,f(&quot;sptr&quot;),&quot;\\nb=scratch[dptr]\\nif(a&lt;b){break __g}\\nif(a&gt;b){break __l}&quot;].join(&quot;&quot;)),c=t.length-1;c&gt;=1;--c)r.push(&quot;sptr+=e&quot;+c,&quot;dptr+=f&quot;+c,&quot;}&quot;);for(r.push(&quot;dptr=cptr;sptr=cptr-s0&quot;),c=t.length-1;c&gt;=0;--c)0!==(d=t[c])&amp;&amp;r.push([&quot;for(i&quot;,d,&quot;=0;i&quot;,d,&quot;&lt;n&quot;,d,&quot;;++i&quot;,d,&quot;){&quot;].join(&quot;&quot;));for(r.push(h(&quot;dptr&quot;,f(&quot;sptr&quot;))),c=0;c&lt;t.length;++c)0!==(d=t[c])&amp;&amp;r.push([&quot;dptr+=d&quot;,d,&quot;;sptr+=d&quot;,d].join(&quot;&quot;),&quot;}&quot;);for(r.push(&quot;cptr-=s0\\n}&quot;),r.push(&quot;dptr=cptr;sptr=0&quot;),c=t.length-1;c&gt;=0;--c)0!==(d=t[c])&amp;&amp;r.push([&quot;for(i&quot;,d,&quot;=0;i&quot;,d,&quot;&lt;n&quot;,d,&quot;;++i&quot;,d,&quot;){&quot;].join(&quot;&quot;));for(r.push(h(&quot;dptr&quot;,&quot;scratch[sptr++]&quot;)),c=0;c&lt;t.length;++c){var d;0!==(d=t[c])&amp;&amp;r.push(&quot;dptr+=d&quot;+d,&quot;}&quot;)}}else r.push(&quot;scratch=&quot;+f(&quot;ptr&quot;),&quot;while((j--\\x3eleft)&amp;&amp;(&quot;+f(&quot;cptr-s0&quot;)+&quot;&gt;scratch)){&quot;,h(&quot;cptr&quot;,f(&quot;cptr-s0&quot;)),&quot;cptr-=s0&quot;,&quot;}&quot;,h(&quot;cptr&quot;,&quot;scratch&quot;));return r.push(&quot;}&quot;),t.length&gt;1&amp;&amp;s&amp;&amp;r.push(&quot;free(scratch)&quot;),r.push(&quot;} return &quot;+n),s?new Function(&quot;malloc&quot;,&quot;free&quot;,r.join(&quot;\\n&quot;))(s[0],s[1]):new Function(r.join(&quot;\\n&quot;))()}(t,e),y=function(t,e,r){var n=[&quot;&#x27;use strict&#x27;&quot;],s=[&quot;ndarrayQuickSort&quot;,t.join(&quot;d&quot;),e].join(&quot;&quot;),l=[&quot;left&quot;,&quot;right&quot;,&quot;data&quot;,&quot;offset&quot;].concat(o(t.length)),u=a(e),c=0;n.push([&quot;function &quot;,s,&quot;(&quot;,l.join(&quot;,&quot;),&quot;){&quot;].join(&quot;&quot;));var f=[&quot;sixth=((right-left+1)/6)|0&quot;,&quot;index1=left+sixth&quot;,&quot;index5=right-sixth&quot;,&quot;index3=(left+right)&gt;&gt;1&quot;,&quot;index2=index3-sixth&quot;,&quot;index4=index3+sixth&quot;,&quot;el1=index1&quot;,&quot;el2=index2&quot;,&quot;el3=index3&quot;,&quot;el4=index4&quot;,&quot;el5=index5&quot;,&quot;less=left+1&quot;,&quot;great=right-1&quot;,&quot;pivots_are_equal=true&quot;,&quot;tmp&quot;,&quot;tmp0&quot;,&quot;x&quot;,&quot;y&quot;,&quot;z&quot;,&quot;k&quot;,&quot;ptr0&quot;,&quot;ptr1&quot;,&quot;ptr2&quot;,&quot;comp_pivot1=0&quot;,&quot;comp_pivot2=0&quot;,&quot;comp=0&quot;];if(t.length&gt;1){for(var h=[],d=1;d&lt;t.length;++d)h.push(&quot;n&quot;+d),f.push(&quot;i&quot;+d);for(d=0;d&lt;8;++d)f.push(&quot;b_ptr&quot;+d);f.push(&quot;ptr3&quot;,&quot;ptr4&quot;,&quot;ptr5&quot;,&quot;ptr6&quot;,&quot;ptr7&quot;,&quot;pivot_ptr&quot;,&quot;ptr_shift&quot;,&quot;elementSize=&quot;+h.join(&quot;*&quot;)),u?f.push(&quot;pivot1=malloc(elementSize)&quot;,&quot;pivot2=malloc(elementSize)&quot;):f.push(&quot;pivot1=new Array(elementSize),pivot2=new Array(elementSize)&quot;)}else f.push(&quot;pivot1&quot;,&quot;pivot2&quot;);function p(t){return[&quot;(offset+&quot;,t,&quot;*s0)&quot;].join(&quot;&quot;)}function g(t){return&quot;generic&quot;===e?[&quot;data.get(&quot;,t,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]&quot;].join(&quot;&quot;)}function v(t,r){return&quot;generic&quot;===e?[&quot;data.set(&quot;,t,&quot;,&quot;,r,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]=&quot;,r].join(&quot;&quot;)}function m(e,r,i){if(1===e.length)n.push(&quot;ptr0=&quot;+p(e[0]));else for(var a=0;a&lt;e.length;++a)n.push([&quot;b_ptr&quot;,a,&quot;=s0*&quot;,e[a]].join(&quot;&quot;));for(r&amp;&amp;n.push(&quot;pivot_ptr=0&quot;),n.push(&quot;ptr_shift=offset&quot;),a=t.length-1;a&gt;=0;--a)0!==(o=t[a])&amp;&amp;n.push([&quot;for(i&quot;,o,&quot;=0;i&quot;,o,&quot;&lt;n&quot;,o,&quot;;++i&quot;,o,&quot;){&quot;].join(&quot;&quot;));if(e.length&gt;1)for(a=0;a&lt;e.length;++a)n.push([&quot;ptr&quot;,a,&quot;=b_ptr&quot;,a,&quot;+ptr_shift&quot;].join(&quot;&quot;));for(n.push(i),r&amp;&amp;n.push(&quot;++pivot_ptr&quot;),a=0;a&lt;t.length;++a){var o;0!==(o=t[a])&amp;&amp;(e.length&gt;1?n.push(&quot;ptr_shift+=d&quot;+o):n.push(&quot;ptr0+=d&quot;+o),n.push(&quot;}&quot;))}}function y(e,r,i,a){if(1===r.length)n.push(&quot;ptr0=&quot;+p(r[0]));else{for(var o=0;o&lt;r.length;++o)n.push([&quot;b_ptr&quot;,o,&quot;=s0*&quot;,r[o]].join(&quot;&quot;));n.push(&quot;ptr_shift=offset&quot;)}for(i&amp;&amp;n.push(&quot;pivot_ptr=0&quot;),e&amp;&amp;n.push(e+&quot;:&quot;),o=1;o&lt;t.length;++o)n.push([&quot;for(i&quot;,o,&quot;=0;i&quot;,o,&quot;&lt;n&quot;,o,&quot;;++i&quot;,o,&quot;){&quot;].join(&quot;&quot;));if(r.length&gt;1)for(o=0;o&lt;r.length;++o)n.push([&quot;ptr&quot;,o,&quot;=b_ptr&quot;,o,&quot;+ptr_shift&quot;].join(&quot;&quot;));for(n.push(a),o=t.length-1;o&gt;=1;--o)i&amp;&amp;n.push(&quot;pivot_ptr+=f&quot;+o),r.length&gt;1?n.push(&quot;ptr_shift+=e&quot;+o):n.push(&quot;ptr0+=e&quot;+o),n.push(&quot;}&quot;)}function b(){t.length&gt;1&amp;&amp;u&amp;&amp;n.push(&quot;free(pivot1)&quot;,&quot;free(pivot2)&quot;)}function x(e,r){var i=&quot;el&quot;+e,a=&quot;el&quot;+r;if(t.length&gt;1){var o=&quot;__l&quot;+ ++c;y(o,[i,a],!1,[&quot;comp=&quot;,g(&quot;ptr0&quot;),&quot;-&quot;,g(&quot;ptr1&quot;),&quot;\\n&quot;,&quot;if(comp&gt;0){tmp0=&quot;,i,&quot;;&quot;,i,&quot;=&quot;,a,&quot;;&quot;,a,&quot;=tmp0;break &quot;,o,&quot;}\\n&quot;,&quot;if(comp&lt;0){break &quot;,o,&quot;}&quot;].join(&quot;&quot;))}else n.push([&quot;if(&quot;,g(p(i)),&quot;&gt;&quot;,g(p(a)),&quot;){tmp0=&quot;,i,&quot;;&quot;,i,&quot;=&quot;,a,&quot;;&quot;,a,&quot;=tmp0}&quot;].join(&quot;&quot;))}function _(e,r){t.length&gt;1?m([e,r],!1,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;))):n.push(v(p(e),g(p(r))))}function w(e,r,i){if(t.length&gt;1){var a=&quot;__l&quot;+ ++c;y(a,[r],!0,[e,&quot;=&quot;,g(&quot;ptr0&quot;),&quot;-pivot&quot;,i,&quot;[pivot_ptr]\\n&quot;,&quot;if(&quot;,e,&quot;!==0){break &quot;,a,&quot;}&quot;].join(&quot;&quot;))}else n.push([e,&quot;=&quot;,g(p(r)),&quot;-pivot&quot;,i].join(&quot;&quot;))}function A(e,r){t.length&gt;1?m([e,r],!1,[&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,&quot;tmp&quot;)].join(&quot;&quot;)):n.push([&quot;ptr0=&quot;,p(e),&quot;\\n&quot;,&quot;ptr1=&quot;,p(r),&quot;\\n&quot;,&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,&quot;tmp&quot;)].join(&quot;&quot;))}function M(e,r,i){t.length&gt;1?(m([e,r,i],!1,[&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,g(&quot;ptr2&quot;)),&quot;\\n&quot;,v(&quot;ptr2&quot;,&quot;tmp&quot;)].join(&quot;&quot;)),n.push(&quot;++&quot;+r,&quot;--&quot;+i)):n.push([&quot;ptr0=&quot;,p(e),&quot;\\n&quot;,&quot;ptr1=&quot;,p(r),&quot;\\n&quot;,&quot;ptr2=&quot;,p(i),&quot;\\n&quot;,&quot;++&quot;,r,&quot;\\n&quot;,&quot;--&quot;,i,&quot;\\n&quot;,&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,g(&quot;ptr2&quot;)),&quot;\\n&quot;,v(&quot;ptr2&quot;,&quot;tmp&quot;)].join(&quot;&quot;))}function T(t,e){A(t,e),n.push(&quot;--&quot;+e)}function k(e,r,i){t.length&gt;1?m([e,r],!0,[v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,[&quot;pivot&quot;,i,&quot;[pivot_ptr]&quot;].join(&quot;&quot;))].join(&quot;&quot;)):n.push(v(p(e),g(p(r))),v(p(r),&quot;pivot&quot;+i))}function E(e,r){n.push([&quot;if((&quot;,r,&quot;-&quot;,e,&quot;)&lt;=&quot;,i,&quot;){\\n&quot;,&quot;insertionSort(&quot;,e,&quot;,&quot;,r,&quot;,data,offset,&quot;,o(t.length).join(&quot;,&quot;),&quot;)\\n&quot;,&quot;}else{\\n&quot;,s,&quot;(&quot;,e,&quot;,&quot;,r,&quot;,data,offset,&quot;,o(t.length).join(&quot;,&quot;),&quot;)\\n&quot;,&quot;}&quot;].join(&quot;&quot;))}function L(e,r,i){t.length&gt;1?(n.push([&quot;__l&quot;,++c,&quot;:while(true){&quot;].join(&quot;&quot;)),m([e],!0,[&quot;if(&quot;,g(&quot;ptr0&quot;),&quot;!==pivot&quot;,r,&quot;[pivot_ptr]){break __l&quot;,c,&quot;}&quot;].join(&quot;&quot;)),n.push(i,&quot;}&quot;)):n.push([&quot;while(&quot;,g(p(e)),&quot;===pivot&quot;,r,&quot;){&quot;,i,&quot;}&quot;].join(&quot;&quot;))}return n.push(&quot;var &quot;+f.join(&quot;,&quot;)),x(1,2),x(4,5),x(1,3),x(2,3),x(1,4),x(3,4),x(2,5),x(2,3),x(4,5),t.length&gt;1?m([&quot;el1&quot;,&quot;el2&quot;,&quot;el3&quot;,&quot;el4&quot;,&quot;el5&quot;,&quot;index1&quot;,&quot;index3&quot;,&quot;index5&quot;],!0,[&quot;pivot1[pivot_ptr]=&quot;,g(&quot;ptr1&quot;),&quot;\\n&quot;,&quot;pivot2[pivot_ptr]=&quot;,g(&quot;ptr3&quot;),&quot;\\n&quot;,&quot;pivots_are_equal=pivots_are_equal&amp;&amp;(pivot1[pivot_ptr]===pivot2[pivot_ptr])\\n&quot;,&quot;x=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,&quot;y=&quot;,g(&quot;ptr2&quot;),&quot;\\n&quot;,&quot;z=&quot;,g(&quot;ptr4&quot;),&quot;\\n&quot;,v(&quot;ptr5&quot;,&quot;x&quot;),&quot;\\n&quot;,v(&quot;ptr6&quot;,&quot;y&quot;),&quot;\\n&quot;,v(&quot;ptr7&quot;,&quot;z&quot;)].join(&quot;&quot;)):n.push([&quot;pivot1=&quot;,g(p(&quot;el2&quot;)),&quot;\\n&quot;,&quot;pivot2=&quot;,g(p(&quot;el4&quot;)),&quot;\\n&quot;,&quot;pivots_are_equal=pivot1===pivot2\\n&quot;,&quot;x=&quot;,g(p(&quot;el1&quot;)),&quot;\\n&quot;,&quot;y=&quot;,g(p(&quot;el3&quot;)),&quot;\\n&quot;,&quot;z=&quot;,g(p(&quot;el5&quot;)),&quot;\\n&quot;,v(p(&quot;index1&quot;),&quot;x&quot;),&quot;\\n&quot;,v(p(&quot;index3&quot;),&quot;y&quot;),&quot;\\n&quot;,v(p(&quot;index5&quot;),&quot;z&quot;)].join(&quot;&quot;)),_(&quot;index2&quot;,&quot;left&quot;),_(&quot;index4&quot;,&quot;right&quot;),n.push(&quot;if(pivots_are_equal){&quot;),n.push(&quot;for(k=less;k&lt;=great;++k){&quot;),w(&quot;comp&quot;,&quot;k&quot;,1),n.push(&quot;if(comp===0){continue}&quot;),n.push(&quot;if(comp&lt;0){&quot;),n.push(&quot;if(k!==less){&quot;),A(&quot;k&quot;,&quot;less&quot;),n.push(&quot;}&quot;),n.push(&quot;++less&quot;),n.push(&quot;}else{&quot;),n.push(&quot;while(true){&quot;),w(&quot;comp&quot;,&quot;great&quot;,1),n.push(&quot;if(comp&gt;0){&quot;),n.push(&quot;great--&quot;),n.push(&quot;}else 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n=t(&quot;edges-to-adjacency-list&quot;),i=t(&quot;planar-dual&quot;),a=t(&quot;point-in-big-polygon&quot;),o=t(&quot;two-product&quot;),s=t(&quot;robust-sum&quot;),l=t(&quot;uniq&quot;),u=t(&quot;./lib/trim-leaves&quot;);function c(t,e){for(var r=new Array(t),n=0;n&lt;t;++n)r[n]=e;return r}},{&quot;./lib/trim-leaves&quot;:296,&quot;edges-to-adjacency-list&quot;:87,&quot;planar-dual&quot;:295,&quot;point-in-big-polygon&quot;:298,&quot;robust-sum&quot;:327,&quot;two-product&quot;:346,uniq:350}],298:[function(t,e,r){e.exports=function(t){for(var e=t.length,r=[],a=[],s=0;s&lt;e;++s)for(var c=t[s],f=c.length,h=f-1,d=0;d&lt;f;h=d++){var p=c[h],g=c[d];p[0]===g[0]?a.push([p,g]):r.push([p,g])}if(0===r.length)return 0===a.length?u:(v=l(a),function(t){return v(t[0],t[1])?0:1});var v;var m=i(r),y=function(t,e){return function(r){var i=o.le(e,r[0]);if(i&lt;0)return 1;var a=t[i];if(!a){if(!(i&gt;0&amp;&amp;e[i]===r[0]))return 1;a=t[i-1]}for(var s=1;a;){var 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C=L[1],O=L[5],R=L[9],P=L[2],z=L[6],I=L[10],N=O*I-R*z,D=R*P-C*I,F=C*z-O*P,j=u(N,D,F);N/=j,D/=j,F/=j,L[0]=N,L[4]=D,L[8]=F;for(a=0;a&lt;3;++a)E[a]=x[a]+L[2+4*a]*d;for(a=0;a&lt;3;++a){c=0;for(var B=0;B&lt;3;++B)c+=L[a+4*B]*E[B];L[12+a]=-c}L[15]=1},d.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n&lt;16;++n)e[n]=r[n];return e}return r};var p=[0,0,0];d.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;p[0]=i[2],p[1]=i[6],p[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u&lt;3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];a(i,i,n,p);for(u=0;u&lt;3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},d.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var 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L=e[1],S=e[5],C=e[9],O=L*b+S*x+C*_,R=L*M+S*T+C*k;m=N&lt;0?-Math.PI/2:Math.PI/2,y=Math.atan2(R,O)}else{var P=e[2],z=e[6],I=e[10],N=P*s+z*l+I*f,D=P*b+z*x+I*_,F=P*M+z*T+I*k;m=Math.asin(c(N)),y=Math.atan2(F,D)}this.angle.jump(t,y,m),this.recalcMatrix(t);var j=e[2],B=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,X=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-j*W,G-B*W,X-U*W)},d.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},d.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},d.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},d.setDistance=function(t,e){e&gt;0&amp;&amp;this.radius.set(t,Math.log(e))},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var 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n=t(&quot;./arrow_paths&quot;),i=t(&quot;../../plots/font_attributes&quot;),a=t(&quot;../../plots/cartesian/constants&quot;),o=t(&quot;../../plot_api/plot_template&quot;).templatedArray;e.exports=o(&quot;annotation&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc+arraydraw&quot;},text:{valType:&quot;string&quot;,editType:&quot;calc+arraydraw&quot;},textangle:{valType:&quot;angle&quot;,dflt:0,editType:&quot;calc+arraydraw&quot;},font:i({editType:&quot;calc+arraydraw&quot;,colorEditType:&quot;arraydraw&quot;}),width:{valType:&quot;number&quot;,min:1,dflt:null,editType:&quot;calc+arraydraw&quot;},height:{valType:&quot;number&quot;,min:1,dflt:null,editType:&quot;calc+arraydraw&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1,editType:&quot;arraydraw&quot;},align:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;center&quot;,editType:&quot;arraydraw&quot;},valign:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;middle&quot;,editType:&quot;arraydraw&quot;},bgcolor:{valType:&quot;color&quot;,dflt:&quot;rgba(0,0,0,0)&quot;,editType:&quot;arraydraw&quot;},bordercolor:{valType:&quot;color&quot;,dflt:&quot;rgba(0,0,0,0)&quot;,editType:&quot;arraydraw&quot;},borderpad:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;calc+arraydraw&quot;},borderwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;calc+arraydraw&quot;},showarrow:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc+arraydraw&quot;},arrowcolor:{valType:&quot;color&quot;,editType:&quot;arraydraw&quot;},arrowhead:{valType:&quot;integer&quot;,min:0,max:n.length,dflt:1,editType:&quot;arraydraw&quot;},startarrowhead:{valType:&quot;integer&quot;,min:0,max:n.length,dflt:1,editType:&quot;arraydraw&quot;},arrowside:{valType:&quot;flaglist&quot;,flags:[&quot;end&quot;,&quot;start&quot;],extras:[&quot;none&quot;],dflt:&quot;end&quot;,editType:&quot;arraydraw&quot;},arrowsize:{valType:&quot;number&quot;,min:.3,dflt:1,editType:&quot;calc+arraydraw&quot;},startarrowsize:{valType:&quot;number&quot;,min:.3,dflt:1,editType:&quot;calc+arraydraw&quot;},arrowwidth:{valType:&quot;number&quot;,min:.1,editType:&quot;calc+arraydraw&quot;},standoff:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;calc+arraydraw&quot;},startstandoff:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;calc+arraydraw&quot;},ax:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},ay:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},axref:{valType:&quot;enumerated&quot;,dflt:&quot;pixel&quot;,values:[&quot;pixel&quot;,a.idRegex.x.toString()],editType:&quot;calc&quot;},ayref:{valType:&quot;enumerated&quot;,dflt:&quot;pixel&quot;,values:[&quot;pixel&quot;,a.idRegex.y.toString()],editType:&quot;calc&quot;},xref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,a.idRegex.x.toString()],editType:&quot;calc&quot;},x:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;auto&quot;,editType:&quot;calc+arraydraw&quot;},xshift:{valType:&quot;number&quot;,dflt:0,editType:&quot;calc+arraydraw&quot;},yref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,a.idRegex.y.toString()],editType:&quot;calc&quot;},y:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;auto&quot;,editType:&quot;calc+arraydraw&quot;},yshift:{valType:&quot;number&quot;,dflt:0,editType:&quot;calc+arraydraw&quot;},clicktoshow:{valType:&quot;enumerated&quot;,values:[!1,&quot;onoff&quot;,&quot;onout&quot;],dflt:!1,editType:&quot;arraydraw&quot;},xclick:{valType:&quot;any&quot;,editType:&quot;arraydraw&quot;},yclick:{valType:&quot;any&quot;,editType:&quot;arraydraw&quot;},hovertext:{valType:&quot;string&quot;,editType:&quot;arraydraw&quot;},hoverlabel:{bgcolor:{valType:&quot;color&quot;,editType:&quot;arraydraw&quot;},bordercolor:{valType:&quot;color&quot;,editType:&quot;arraydraw&quot;},font:i({editType:&quot;arraydraw&quot;}),editType:&quot;arraydraw&quot;},captureevents:{valType:&quot;boolean&quot;,editType:&quot;arraydraw&quot;},editType:&quot;calc&quot;,_deprecated:{ref:{valType:&quot;string&quot;,editType:&quot;calc&quot;}}})},{&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/constants&quot;:547,&quot;../../plots/font_attributes&quot;:567,&quot;./arrow_paths&quot;:360}],362:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;./draw&quot;).draw;function o(t){var e=t._fullLayout;n.filterVisible(e.annotations).forEach(function(e){var r=i.getFromId(t,e.xref),n=i.getFromId(t,e.yref);e._extremes={},r&amp;&amp;s(e,r),n&amp;&amp;s(e,n)})}function s(t,e){var r,n=e._id,a=n.charAt(0),o=t[a],s=t[&quot;a&quot;+a],l=t[a+&quot;ref&quot;],u=t[&quot;a&quot;+a+&quot;ref&quot;],c=t[&quot;_&quot;+a+&quot;padplus&quot;],f=t[&quot;_&quot;+a+&quot;padminus&quot;],h={x:1,y:-1}[a]*t[a+&quot;shift&quot;],d=3*t.arrowsize*t.arrowwidth||0,p=d+h,g=d-h,v=3*t.startarrowsize*t.arrowwidth||0,m=v+h,y=v-h;if(u===l){var b=i.findExtremes(e,[e.r2c(o)],{ppadplus:p,ppadminus:g}),x=i.findExtremes(e,[e.r2c(s)],{ppadplus:Math.max(c,m),ppadminus:Math.max(f,y)});r={min:[b.min[0],x.min[0]],max:[b.max[0],x.max[0]]}}else m=s?m+s:m,y=s?y-s:y,r=i.findExtremes(e,[e.r2c(o)],{ppadplus:Math.max(c,p,m),ppadminus:Math.max(f,g,y)});t._extremes[n]=r}e.exports=function(t){var e=t._fullLayout;if(n.filterVisible(e.annotations).length&amp;&amp;t._fullData.length)return n.syncOrAsync([a,o],t)}},{&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axes&quot;:541,&quot;./draw&quot;:367}],363:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plot_api/plot_template&quot;).arrayEditor;function o(t,e){var r,n,i,a,o,l,u,c=t._fullLayout.annotations,f=[],h=[],d=[],p=(e||[]).length;for(r=0;r&lt;c.length;r++)if(a=(i=c[r]).clicktoshow){for(n=0;n&lt;p;n++)if(l=(o=e[n]).xaxis,u=o.yaxis,l._id===i.xref&amp;&amp;u._id===i.yref&amp;&amp;l.d2r(o.x)===s(i._xclick,l)&amp;&amp;u.d2r(o.y)===s(i._yclick,u)){(i.visible?&quot;onout&quot;===a?h:d:f).push(r);break}n===p&amp;&amp;i.visible&amp;&amp;&quot;onout&quot;===a&amp;&amp;h.push(r)}return{on:f,off:h,explicitOff:d}}function s(t,e){return&quot;log&quot;===e.type?e.l2r(t):e.d2r(t)}e.exports={hasClickToShow:function(t,e){var r=o(t,e);return r.on.length&gt;0||r.explicitOff.length&gt;0},onClick:function(t,e){var r,s,l=o(t,e),u=l.on,c=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!u.length&amp;&amp;!c.length)return;for(r=0;r&lt;u.length;r++)(s=a(t.layout,&quot;annotations&quot;,h[u[r]])).modifyItem(&quot;visible&quot;,!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r&lt;c.length;r++)(s=a(t.layout,&quot;annotations&quot;,h[c[r]])).modifyItem(&quot;visible&quot;,!1),n.extendFlat(f,s.getUpdateObj());return i.call(&quot;update&quot;,t,{},f)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../registry&quot;:592}],364:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../color&quot;);e.exports=function(t,e,r,a){a(&quot;opacity&quot;);var o=a(&quot;bgcolor&quot;),s=a(&quot;bordercolor&quot;),l=i.opacity(s);a(&quot;borderpad&quot;);var u=a(&quot;borderwidth&quot;),c=a(&quot;showarrow&quot;);if(a(&quot;text&quot;,c?&quot; &quot;:r._dfltTitle.annotation),a(&quot;textangle&quot;),n.coerceFont(a,&quot;font&quot;,r.font),a(&quot;width&quot;),a(&quot;align&quot;),a(&quot;height&quot;)&amp;&amp;a(&quot;valign&quot;),c){var f,h,d=a(&quot;arrowside&quot;);-1!==d.indexOf(&quot;end&quot;)&amp;&amp;(f=a(&quot;arrowhead&quot;),h=a(&quot;arrowsize&quot;)),-1!==d.indexOf(&quot;start&quot;)&amp;&amp;(a(&quot;startarrowhead&quot;,f),a(&quot;startarrowsize&quot;,h)),a(&quot;arrowcolor&quot;,l?e.bordercolor:i.defaultLine),a(&quot;arrowwidth&quot;,2*(l&amp;&amp;u||1)),a(&quot;standoff&quot;),a(&quot;startstandoff&quot;)}var p=a(&quot;hovertext&quot;),g=r.hoverlabel||{};if(p){var v=a(&quot;hoverlabel.bgcolor&quot;,g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),m=a(&quot;hoverlabel.bordercolor&quot;,g.bordercolor||i.contrast(v));n.coerceFont(a,&quot;hoverlabel.font&quot;,{family:g.font.family,size:g.font.size,color:g.font.color||m})}a(&quot;captureevents&quot;,!!p)}},{&quot;../../lib&quot;:495,&quot;../color&quot;:376}],365:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib/to_log_range&quot;);e.exports=function(t,e,r,a){e=e||{};var o=&quot;log&quot;===r&amp;&amp;&quot;linear&quot;===e.type,s=&quot;linear&quot;===r&amp;&amp;&quot;log&quot;===e.type;if(o||s)for(var l,u,c=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h&lt;c.length;h++)l=c[h],u=&quot;annotations[&quot;+h+&quot;].&quot;,l[f+&quot;ref&quot;]===e._id&amp;&amp;d(f),l[&quot;a&quot;+f+&quot;ref&quot;]===e._id&amp;&amp;d(&quot;a&quot;+f);function d(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(u+t,s)}}},{&quot;../../lib/to_log_range&quot;:520,&quot;fast-isnumeric&quot;:90}],366:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;../../plots/array_container_defaults&quot;),o=t(&quot;./common_defaults&quot;),s=t(&quot;./attributes&quot;);function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(&quot;visible&quot;),u=a(&quot;clicktoshow&quot;);if(l||u){o(t,e,r,a);for(var c=e.showarrow,f=[&quot;x&quot;,&quot;y&quot;],h=[-10,-30],d={_fullLayout:r},p=0;p&lt;2;p++){var g=f[p],v=i.coerceRef(t,e,d,g,&quot;&quot;,&quot;paper&quot;);if(&quot;paper&quot;!==v)i.getFromId(d,v)._annIndices.push(e._index);if(i.coercePosition(e,d,a,v,g,.5),c){var m=&quot;a&quot;+g,y=i.coerceRef(t,e,d,m,&quot;pixel&quot;);&quot;pixel&quot;!==y&amp;&amp;y!==v&amp;&amp;(y=e[m]=&quot;pixel&quot;);var b=&quot;pixel&quot;===y?h[p]:.4;i.coercePosition(e,d,a,y,m,b)}a(g+&quot;anchor&quot;),a(g+&quot;shift&quot;)}if(n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),c&amp;&amp;n.noneOrAll(t,e,[&quot;ax&quot;,&quot;ay&quot;]),u){var x=a(&quot;xclick&quot;),_=a(&quot;yclick&quot;);e._xclick=void 0===x?e.x:i.cleanPosition(x,d,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,d,e.yref)}}}e.exports=function(t,e){a(t,e,{name:&quot;annotations&quot;,handleItemDefaults:l})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;../../plots/cartesian/axes&quot;:541,&quot;./attributes&quot;:361,&quot;./common_defaults&quot;:364}],367:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../../plots/cartesian/axes&quot;),l=t(&quot;../color&quot;),u=t(&quot;../drawing&quot;),c=t(&quot;../fx&quot;),f=t(&quot;../../lib/svg_text_utils&quot;),h=t(&quot;../../lib/setcursor&quot;),d=t(&quot;../dragelement&quot;),p=t(&quot;../../plot_api/plot_template&quot;).arrayEditor,g=t(&quot;./draw_arrow_head&quot;);function v(t,e){var r=t._fullLayout.annotations[e]||{},n=s.getFromId(t,r.xref),i=s.getFromId(t,r.yref);n&amp;&amp;n.setScale(),i&amp;&amp;i.setScale(),m(t,r,e,!1,n,i)}function m(t,e,r,a,s,v){var m,y,b=t._fullLayout,x=t._fullLayout._size,_=t._context.edits;a?(m=&quot;annotation-&quot;+a,y=a+&quot;.annotations&quot;):(m=&quot;annotation&quot;,y=&quot;annotations&quot;);var w=p(t.layout,y,e),A=w.modifyBase,M=w.modifyItem,T=w.getUpdateObj;b._infolayer.selectAll(&quot;.&quot;+m+&#x27;[data-index=&quot;&#x27;+r+&#x27;&quot;]&#x27;).remove();var k=&quot;clip&quot;+b._uid+&quot;_ann&quot;+r;if(e._input&amp;&amp;!1!==e.visible){var E={x:{},y:{}},L=+e.textangle||0,S=b._infolayer.append(&quot;g&quot;).classed(m,!0).attr(&quot;data-index&quot;,String(r)).style(&quot;opacity&quot;,e.opacity),C=S.append(&quot;g&quot;).classed(&quot;annotation-text-g&quot;,!0),O=_[e.showarrow?&quot;annotationTail&quot;:&quot;annotationPosition&quot;],R=e.captureevents||_.annotationText||O,P=C.append(&quot;g&quot;).style(&quot;pointer-events&quot;,R?&quot;all&quot;:null).call(h,&quot;pointer&quot;).on(&quot;click&quot;,function(){t._dragging=!1;var i={index:r,annotation:e._input,fullAnnotation:e,event:n.event};a&amp;&amp;(i.subplotId=a),t.emit(&quot;plotly_clickannotation&quot;,i)});e.hovertext&amp;&amp;P.on(&quot;mouseover&quot;,function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();c.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:b._hoverlayer.node(),outerContainer:b._paper.node(),gd:t})}).on(&quot;mouseout&quot;,function(){c.loneUnhover(b._hoverlayer.node())});var z=e.borderwidth,I=e.borderpad,N=z+I,D=P.append(&quot;rect&quot;).attr(&quot;class&quot;,&quot;bg&quot;).style(&quot;stroke-width&quot;,z+&quot;px&quot;).call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),F=e.width||e.height,j=b._topclips.selectAll(&quot;#&quot;+k).data(F?[0]:[]);j.enter().append(&quot;clipPath&quot;).classed(&quot;annclip&quot;,!0).attr(&quot;id&quot;,k).append(&quot;rect&quot;),j.exit().remove();var B=e.font,U=b.meta?o.templateString(e.text,{meta:b.meta}):e.text,V=P.append(&quot;text&quot;).classed(&quot;annotation-text&quot;,!0).text(U);_.annotationText?V.call(f.makeEditable,{delegate:P,gd:t}).call(H).on(&quot;edit&quot;,function(r){e.text=r,this.call(H),M(&quot;text&quot;,r),s&amp;&amp;s.autorange&amp;&amp;A(s._name+&quot;.autorange&quot;,!0),v&amp;&amp;v.autorange&amp;&amp;A(v._name+&quot;.autorange&quot;,!0),i.call(&quot;_guiRelayout&quot;,t,T())}):V.call(H)}else n.selectAll(&quot;#&quot;+k).remove();function H(r){return r.call(u.font,B).attr({&quot;text-anchor&quot;:{left:&quot;start&quot;,right:&quot;end&quot;}[e.align]||&quot;middle&quot;}),f.convertToTspans(r,t,q),r}function q(){var r=V.selectAll(&quot;a&quot;);1===r.size()&amp;&amp;r.text()===V.text()&amp;&amp;P.insert(&quot;a&quot;,&quot;:first-child&quot;).attr({&quot;xlink:xlink:href&quot;:r.attr(&quot;xlink:href&quot;),&quot;xlink:xlink:show&quot;:r.attr(&quot;xlink:show&quot;)}).style({cursor:&quot;pointer&quot;}).node().appendChild(D.node());var n=P.select(&quot;.annotation-text-math-group&quot;),c=!n.empty(),p=u.bBox((c?n:V).node()),m=p.width,y=p.height,w=e.width||m,R=e.height||y,I=Math.round(w+2*N),B=Math.round(R+2*N);function U(t,e){return&quot;auto&quot;===e&amp;&amp;(e=t&lt;1/3?&quot;left&quot;:t&gt;2/3?&quot;right&quot;:&quot;center&quot;),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var H=!1,q=[&quot;x&quot;,&quot;y&quot;],G=0;G&lt;q.length;G++){var X,W,Y,Z,Q,$=q[G],J=e[$+&quot;ref&quot;]||$,K=e[&quot;a&quot;+$+&quot;ref&quot;],tt={x:s,y:v}[$],et=(L+(&quot;x&quot;===$?0:-90))*Math.PI/180,rt=I*Math.cos(et),nt=B*Math.sin(et),it=Math.abs(rt)+Math.abs(nt),at=e[$+&quot;anchor&quot;],ot=e[$+&quot;shift&quot;]*(&quot;x&quot;===$?1:-1),st=E[$];if(tt){var lt=tt.r2fraction(e[$]);(lt&lt;0||lt&gt;1)&amp;&amp;(K===J?((lt=tt.r2fraction(e[&quot;a&quot;+$]))&lt;0||lt&gt;1)&amp;&amp;(H=!0):H=!0),X=tt._offset+tt.r2p(e[$]),Z=.5}else&quot;x&quot;===$?(Y=e[$],X=x.l+x.w*Y):(Y=1-e[$],X=x.t+x.h*Y),Z=e.showarrow?.5:Y;if(e.showarrow){st.head=X;var ut=e[&quot;a&quot;+$];Q=rt*U(.5,e.xanchor)-nt*U(.5,e.yanchor),K===J?(st.tail=tt._offset+tt.r2p(ut),W=Q):(st.tail=X+ut,W=Q+ut),st.text=st.tail+Q;var ct=b[&quot;x&quot;===$?&quot;width&quot;:&quot;height&quot;];if(&quot;paper&quot;===J&amp;&amp;(st.head=o.constrain(st.head,1,ct-1)),&quot;pixel&quot;===K){var ft=-Math.max(st.tail-3,st.text),ht=Math.min(st.tail+3,st.text)-ct;ft&gt;0?(st.tail+=ft,st.text+=ft):ht&gt;0&amp;&amp;(st.tail-=ht,st.text-=ht)}st.tail+=ot,st.head+=ot}else W=Q=it*U(Z,at),st.text=X+Q;st.text+=ot,Q+=ot,W+=ot,e[&quot;_&quot;+$+&quot;padplus&quot;]=it/2+W,e[&quot;_&quot;+$+&quot;padminus&quot;]=it/2-W,e[&quot;_&quot;+$+&quot;size&quot;]=it,e[&quot;_&quot;+$+&quot;shift&quot;]=Q}if(t._dragging||!H){var dt=0,pt=0;if(&quot;left&quot;!==e.align&amp;&amp;(dt=(w-m)*(&quot;center&quot;===e.align?.5:1)),&quot;top&quot;!==e.valign&amp;&amp;(pt=(R-y)*(&quot;middle&quot;===e.valign?.5:1)),c)n.select(&quot;svg&quot;).attr({x:N+dt-1,y:N+pt}).call(u.setClipUrl,F?k:null,t);else{var gt=N+pt-p.top,vt=N+dt-p.left;V.call(f.positionText,vt,gt).call(u.setClipUrl,F?k:null,t)}j.select(&quot;rect&quot;).call(u.setRect,N,N,w,R),D.call(u.setRect,z/2,z/2,I-z,B-z),P.call(u.setTranslate,Math.round(E.x.text-I/2),Math.round(E.y.text-B/2)),C.attr({transform:&quot;rotate(&quot;+L+&quot;,&quot;+E.x.text+&quot;,&quot;+E.y.text+&quot;)&quot;});var mt,yt=function(r,n){S.selectAll(&quot;.annotation-arrow-g&quot;).remove();var c=E.x.head,f=E.y.head,h=E.x.tail+r,p=E.y.tail+n,m=E.x.text+r,y=E.y.text+n,b=o.rotationXYMatrix(L,m,y),w=o.apply2DTransform(b),k=o.apply2DTransform2(b),O=+D.attr(&quot;width&quot;),R=+D.attr(&quot;height&quot;),z=m-.5*O,I=z+O,N=y-.5*R,F=N+R,j=[[z,N,z,F],[z,F,I,F],[I,F,I,N],[I,N,z,N]].map(k);if(!j.reduce(function(t,e){return t^!!o.segmentsIntersect(c,f,c+1e6,f+1e6,e[0],e[1],e[2],e[3])},!1)){j.forEach(function(t){var e=o.segmentsIntersect(h,p,c,f,t[0],t[1],t[2],t[3]);e&amp;&amp;(h=e.x,p=e.y)});var B=e.arrowwidth,U=e.arrowcolor,V=e.arrowside,H=S.append(&quot;g&quot;).style({opacity:l.opacity(U)}).classed(&quot;annotation-arrow-g&quot;,!0),q=H.append(&quot;path&quot;).attr(&quot;d&quot;,&quot;M&quot;+h+&quot;,&quot;+p+&quot;L&quot;+c+&quot;,&quot;+f).style(&quot;stroke-width&quot;,B+&quot;px&quot;).call(l.stroke,l.rgb(U));if(g(q,V,e),_.annotationPosition&amp;&amp;q.node().parentNode&amp;&amp;!a){var G=c,X=f;if(e.standoff){var W=Math.sqrt(Math.pow(c-h,2)+Math.pow(f-p,2));G+=e.standoff*(h-c)/W,X+=e.standoff*(p-f)/W}var Y,Z,Q=H.append(&quot;path&quot;).classed(&quot;annotation-arrow&quot;,!0).classed(&quot;anndrag&quot;,!0).classed(&quot;cursor-move&quot;,!0).attr({d:&quot;M3,3H-3V-3H3ZM0,0L&quot;+(h-G)+&quot;,&quot;+(p-X),transform:&quot;translate(&quot;+G+&quot;,&quot;+X+&quot;)&quot;}).style(&quot;stroke-width&quot;,B+6+&quot;px&quot;).call(l.stroke,&quot;rgba(0,0,0,0)&quot;).call(l.fill,&quot;rgba(0,0,0,0)&quot;);d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(P);Y=t.x,Z=t.y,s&amp;&amp;s.autorange&amp;&amp;A(s._name+&quot;.autorange&quot;,!0),v&amp;&amp;v.autorange&amp;&amp;A(v._name+&quot;.autorange&quot;,!0)},moveFn:function(t,r){var n=w(Y,Z),i=n[0]+t,a=n[1]+r;P.call(u.setTranslate,i,a),M(&quot;x&quot;,s?s.p2r(s.r2p(e.x)+t):e.x+t/x.w),M(&quot;y&quot;,v?v.p2r(v.r2p(e.y)+r):e.y-r/x.h),e.axref===e.xref&amp;&amp;M(&quot;ax&quot;,s.p2r(s.r2p(e.ax)+t)),e.ayref===e.yref&amp;&amp;M(&quot;ay&quot;,v.p2r(v.r2p(e.ay)+r)),H.attr(&quot;transform&quot;,&quot;translate(&quot;+t+&quot;,&quot;+r+&quot;)&quot;),C.attr({transform:&quot;rotate(&quot;+L+&quot;,&quot;+i+&quot;,&quot;+a+&quot;)&quot;})},doneFn:function(){i.call(&quot;_guiRelayout&quot;,t,T());var e=document.querySelector(&quot;.js-notes-box-panel&quot;);e&amp;&amp;e.redraw(e.selectedObj)}})}}};if(e.showarrow&amp;&amp;yt(0,0),O)d.init({element:P.node(),gd:t,prepFn:function(){mt=C.attr(&quot;transform&quot;)},moveFn:function(t,r){var n=&quot;pointer&quot;;if(e.showarrow)e.axref===e.xref?M(&quot;ax&quot;,s.p2r(s.r2p(e.ax)+t)):M(&quot;ax&quot;,e.ax+t),e.ayref===e.yref?M(&quot;ay&quot;,v.p2r(v.r2p(e.ay)+r)):M(&quot;ay&quot;,e.ay+r),yt(t,r);else{if(a)return;var i,o;if(s)i=s.p2r(s.r2p(e.x)+t);else{var l=e._xsize/x.w,u=e.x+(e._xshift-e.xshift)/x.w-l/2;i=d.align(u+t/x.w,l,0,1,e.xanchor)}if(v)o=v.p2r(v.r2p(e.y)+r);else{var c=e._ysize/x.h,f=e.y-(e._yshift+e.yshift)/x.h-c/2;o=d.align(f-r/x.h,c,0,1,e.yanchor)}M(&quot;x&quot;,i),M(&quot;y&quot;,o),s&amp;&amp;v||(n=d.getCursor(s?.5:i,v?.5:o,e.xanchor,e.yanchor))}C.attr({transform:&quot;translate(&quot;+t+&quot;,&quot;+r+&quot;)&quot;+mt}),h(P,n)},doneFn:function(){h(P),i.call(&quot;_guiRelayout&quot;,t,T());var e=document.querySelector(&quot;.js-notes-box-panel&quot;);e&amp;&amp;e.redraw(e.selectedObj)}})}else P.remove()}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(&quot;.annotation&quot;).remove();for(var r=0;r&lt;e.annotations.length;r++)e.annotations[r].visible&amp;&amp;v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:m}},{&quot;../../lib&quot;:495,&quot;../../lib/setcursor&quot;:514,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;../fx&quot;:415,&quot;./draw_arrow_head&quot;:368,d3:81}],368:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../color&quot;),a=t(&quot;./arrow_paths&quot;);e.exports=function(t,e,r){var o,s,l,u,c=t.node(),f=a[r.arrowhead||0],h=a[r.startarrowhead||0],d=(r.arrowwidth||1)*(r.arrowsize||1),p=(r.arrowwidth||1)*(r.startarrowsize||1),g=e.indexOf(&quot;start&quot;)&gt;=0,v=e.indexOf(&quot;end&quot;)&gt;=0,m=f.backoff*d+r.standoff,y=h.backoff*p+r.startstandoff;if(&quot;line&quot;===c.nodeName){o={x:+t.attr(&quot;x1&quot;),y:+t.attr(&quot;y1&quot;)},s={x:+t.attr(&quot;x2&quot;),y:+t.attr(&quot;y2&quot;)};var b=o.x-s.x,x=o.y-s.y;if(u=(l=Math.atan2(x,b))+Math.PI,m&amp;&amp;y&amp;&amp;m+y&gt;Math.sqrt(b*b+x*x))return void O();if(m){if(m*m&gt;b*b+x*x)return void O();var _=m*Math.cos(l),w=m*Math.sin(l);s.x+=_,s.y+=w,t.attr({x2:s.x,y2:s.y})}if(y){if(y*y&gt;b*b+x*x)return void O();var A=y*Math.cos(l),M=y*Math.sin(l);o.x-=A,o.y-=M,t.attr({x1:o.x,y1:o.y})}}else if(&quot;path&quot;===c.nodeName){var T=c.getTotalLength(),k=&quot;&quot;;if(T&lt;m+y)return void O();var E=c.getPointAtLength(0),L=c.getPointAtLength(.1);l=Math.atan2(E.y-L.y,E.x-L.x),o=c.getPointAtLength(Math.min(y,T)),k=&quot;0px,&quot;+y+&quot;px,&quot;;var S=c.getPointAtLength(T),C=c.getPointAtLength(T-.1);u=Math.atan2(S.y-C.y,S.x-C.x),s=c.getPointAtLength(Math.max(0,T-m)),k+=T-(k?y+m:m)+&quot;px,&quot;+T+&quot;px&quot;,t.style(&quot;stroke-dasharray&quot;,k)}function O(){t.style(&quot;stroke-dasharray&quot;,&quot;0px,100px&quot;)}function R(e,a,o,s){e.path&amp;&amp;(e.noRotate&amp;&amp;(o=0),n.select(c.parentNode).append(&quot;path&quot;).attr({class:t.attr(&quot;class&quot;),d:e.path,transform:&quot;translate(&quot;+a.x+&quot;,&quot;+a.y+&quot;)&quot;+(o?&quot;rotate(&quot;+180*o/Math.PI+&quot;)&quot;:&quot;&quot;)+&quot;scale(&quot;+s+&quot;)&quot;}).style({fill:i.rgb(r.arrowcolor),&quot;stroke-width&quot;:0}))}g&amp;&amp;R(h,o,l,p),v&amp;&amp;R(f,s,u,d)}},{&quot;../color&quot;:376,&quot;./arrow_paths&quot;:360,d3:81}],369:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./draw&quot;),i=t(&quot;./click&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;annotations&quot;,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),includeBasePlot:t(&quot;../../plots/cartesian/include_components&quot;)(&quot;annotations&quot;),calcAutorange:t(&quot;./calc_autorange&quot;),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t(&quot;./convert_coords&quot;)}},{&quot;../../plots/cartesian/include_components&quot;:551,&quot;./attributes&quot;:361,&quot;./calc_autorange&quot;:362,&quot;./click&quot;:363,&quot;./convert_coords&quot;:365,&quot;./defaults&quot;:366,&quot;./draw&quot;:367}],370:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../annotations/attributes&quot;),i=t(&quot;../../plot_api/edit_types&quot;).overrideAll,a=t(&quot;../../plot_api/plot_template&quot;).templatedArray;e.exports=i(a(&quot;annotation&quot;,{visible:n.visible,x:{valType:&quot;any&quot;},y:{valType:&quot;any&quot;},z:{valType:&quot;any&quot;},ax:{valType:&quot;number&quot;},ay:{valType:&quot;number&quot;},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),&quot;calc&quot;,&quot;from-root&quot;)},{&quot;../../plot_api/edit_types&quot;:524,&quot;../../plot_api/plot_template&quot;:531,&quot;../annotations/attributes&quot;:361}],371:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:&quot;linear&quot;,autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}e.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r&lt;e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(&quot;.annotation-&quot;+t.id).remove()}},{&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axes&quot;:541}],372:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;../../plots/array_container_defaults&quot;),o=t(&quot;../annotations/common_defaults&quot;),s=t(&quot;./attributes&quot;);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+&quot;axis&quot;,a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(&quot;visible&quot;)&amp;&amp;(o(t,e,a.fullLayout,l),u(&quot;x&quot;),u(&quot;y&quot;),u(&quot;z&quot;),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;]),e.xref=&quot;x&quot;,e.yref=&quot;y&quot;,e.zref=&quot;z&quot;,l(&quot;xanchor&quot;),l(&quot;yanchor&quot;),l(&quot;xshift&quot;),l(&quot;yshift&quot;),e.showarrow&amp;&amp;(e.axref=&quot;pixel&quot;,e.ayref=&quot;pixel&quot;,l(&quot;ax&quot;,-10),l(&quot;ay&quot;,-30),n.noneOrAll(t,e,[&quot;ax&quot;,&quot;ay&quot;])))}e.exports=function(t,e,r){a(t,e,{name:&quot;annotations&quot;,handleItemDefaults:l,fullLayout:r.fullLayout})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;../../plots/cartesian/axes&quot;:541,&quot;../annotations/common_defaults&quot;:364,&quot;./attributes&quot;:370}],373:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../annotations/draw&quot;).drawRaw,i=t(&quot;../../plots/gl3d/project&quot;),a=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s&lt;o.length;s++){for(var l=o[s],u=!1,c=0;c&lt;3;c++){var f=a[c],h=l[f],d=e[f+&quot;axis&quot;].r2fraction(h);if(d&lt;0||d&gt;1){u=!0;break}}u?t.fullLayout._infolayer.select(&quot;.annotation-&quot;+t.id+&#x27;[data-index=&quot;&#x27;+s+&#x27;&quot;]&#x27;).remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{&quot;../../plots/gl3d/project&quot;:579,&quot;../annotations/draw&quot;:367}],374:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;annotations3d&quot;,schema:{subplots:{scene:{annotations:t(&quot;./attributes&quot;)}}},layoutAttributes:t(&quot;./attributes&quot;),handleDefaults:t(&quot;./defaults&quot;),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var a=r.attrRegex,o=Object.keys(t),s=0;s&lt;o.length;s++){var l=o[s];a.test(l)&amp;&amp;(t[l].annotations||[]).length&amp;&amp;(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:t(&quot;./convert&quot;),draw:t(&quot;./draw&quot;)}},{&quot;../../lib&quot;:495,&quot;../../registry&quot;:592,&quot;./attributes&quot;:370,&quot;./convert&quot;:371,&quot;./defaults&quot;:372,&quot;./draw&quot;:373}],375:[function(t,e,r){&quot;use strict&quot;;r.defaults=[&quot;#1f77b4&quot;,&quot;#ff7f0e&quot;,&quot;#2ca02c&quot;,&quot;#d62728&quot;,&quot;#9467bd&quot;,&quot;#8c564b&quot;,&quot;#e377c2&quot;,&quot;#7f7f7f&quot;,&quot;#bcbd22&quot;,&quot;#17becf&quot;],r.defaultLine=&quot;#444&quot;,r.lightLine=&quot;#eee&quot;,r.background=&quot;#fff&quot;,r.borderLine=&quot;#BEC8D9&quot;,r.lightFraction=1e3/11},{}],376:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;tinycolor2&quot;),i=t(&quot;fast-isnumeric&quot;),a=e.exports={},o=t(&quot;./attributes&quot;);a.defaults=o.defaults;var s=a.defaultLine=o.defaultLine;a.lightLine=o.lightLine;var l=a.background=o.background;function u(t){if(i(t)||&quot;string&quot;!=typeof t)return t;var e=t.trim();if(&quot;rgb&quot;!==e.substr(0,3))return t;var r=e.match(/^rgba?\\s*\\(([^()]*)\\)$/);if(!r)return t;var n=r[1].trim().split(/\\s*[\\s,]\\s*/),a=&quot;a&quot;===e.charAt(3)&amp;&amp;4===n.length;if(!a&amp;&amp;3!==n.length)return t;for(var o=0;o&lt;n.length;o++){if(!n[o].length)return t;if(n[o]=Number(n[o]),!(n[o]&gt;=0))return t;if(3===o)n[o]&gt;1&amp;&amp;(n[o]=1);else if(n[o]&gt;=1)return t}var s=Math.round(255*n[0])+&quot;, &quot;+Math.round(255*n[1])+&quot;, &quot;+Math.round(255*n[2]);return a?&quot;rgba(&quot;+s+&quot;, &quot;+n[3]+&quot;)&quot;:&quot;rgb(&quot;+s+&quot;)&quot;}a.tinyRGB=function(t){var e=t.toRgb();return&quot;rgb(&quot;+Math.round(e.r)+&quot;, &quot;+Math.round(e.g)+&quot;, &quot;+Math.round(e.b)+&quot;)&quot;},a.rgb=function(t){return a.tinyRGB(n(t))},a.opacity=function(t){return t?n(t).getAlpha():0},a.addOpacity=function(t,e){var r=n(t).toRgb();return&quot;rgba(&quot;+Math.round(r.r)+&quot;, &quot;+Math.round(r.g)+&quot;, &quot;+Math.round(r.b)+&quot;, &quot;+e+&quot;)&quot;},a.combine=function(t,e){var r=n(t).toRgb();if(1===r.a)return n(t).toRgbString();var 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n={propContainer:et,propName:E(&quot;title&quot;),traceIndex:k().index,placeholder:v._dfltTitle.colorbar,containerGroup:st.select(&quot;.cbtitle&quot;)},i=&quot;h&quot;===e.charAt(0)?e.substr(1):&quot;h&quot;+e;st.selectAll(&quot;.&quot;+i+&quot;,.&quot;+i+&quot;-math-group&quot;).remove(),p.draw(t,e,c(n,r||{}))}v._infolayer.selectAll(&quot;g.&quot;+e).remove()}function k(){for(var r=e.substr(2),n=0;n&lt;t._fullData.length;n++){var i=t._fullData[n];if(i.uid===r)return i}}function E(t){var e=&quot;colorbar.&quot;,r=k()._module.colorbar.container;return r&amp;&amp;(e=r+&quot;.&quot;+e),e+t}return r.fillcolor=null,r.line={color:null,width:null,dash:null},r.levels={start:null,end:null,size:null},r.filllevels=null,r.fillgradient=null,r.zrange=null,Object.keys(r).forEach(function(t){T[t]=function(e){return arguments.length?(r[t]=u.isPlainObject(r[t])?u.extendFlat(r[t],e):e,T):r[t]}}),T.options=function(t){for(var e in t)&quot;function&quot;==typeof T[e]&amp;&amp;T[e](t[e]);return T},T._opts=r,T}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/extend&quot;:488,&quot;../../lib/setcursor&quot;:514,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../plots/cartesian/axis_defaults&quot;:543,&quot;../../plots/cartesian/layout_attributes&quot;:553,&quot;../../plots/cartesian/position_defaults&quot;:556,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;../titles&quot;:464,&quot;./attributes&quot;:377,&quot;./constants&quot;:379,d3:81,tinycolor2:342}],382:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t){return n.isPlainObject(t.colorbar)}},{&quot;../../lib&quot;:495}],383:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./scales.js&quot;).scales;Object.keys(n);function i(t){return&quot;`&quot;+t+&quot;`&quot;}e.exports=function(t,e){t=t||&quot;&quot;;var r,a=(e=e||{}).cLetter||&quot;c&quot;,o=(&quot;onlyIfNumerical&quot;in e?e.onlyIfNumerical:Boolean(t),&quot;noScale&quot;in e?e.noScale:&quot;marker.line&quot;===t),s=&quot;showScaleDflt&quot;in e?e.showScaleDflt:&quot;z&quot;===a,l=&quot;string&quot;==typeof e.colorscaleDflt?n[e.colorscaleDflt]:null,u=e.editTypeOverride||&quot;&quot;,c=t?t+&quot;.&quot;:&quot;&quot;;&quot;colorAttr&quot;in e?(r=e.colorAttr,e.colorAttr):i(c+(r={z:&quot;z&quot;,c:&quot;color&quot;}[a]));var f=a+&quot;auto&quot;,h=a+&quot;min&quot;,d=a+&quot;max&quot;,p=a+&quot;mid&quot;,g=(i(c+f),i(c+h),i(c+d),{});g[h]=g[d]=void 0;var v={};v[f]=!1;var m={};return&quot;color&quot;===r&amp;&amp;(m.color={valType:&quot;color&quot;,arrayOk:!0,editType:u||&quot;style&quot;},e.anim&amp;&amp;(m.color.anim=!0)),m[f]={valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc&quot;,impliedEdits:g},m[h]={valType:&quot;number&quot;,dflt:null,editType:u||&quot;plot&quot;,impliedEdits:v},m[d]={valType:&quot;number&quot;,dflt:null,editType:u||&quot;plot&quot;,impliedEdits:v},m[p]={valType:&quot;number&quot;,dflt:null,editType:&quot;calc&quot;,impliedEdits:g},m.colorscale={valType:&quot;colorscale&quot;,editType:&quot;calc&quot;,dflt:l,impliedEdits:{autocolorscale:!1}},m.autocolorscale={valType:&quot;boolean&quot;,dflt:!1!==e.autoColorDflt,editType:&quot;calc&quot;,impliedEdits:{colorscale:void 0}},m.reversescale={valType:&quot;boolean&quot;,dflt:!1,editType:&quot;plot&quot;},o||(m.showscale={valType:&quot;boolean&quot;,dflt:s,editType:&quot;calc&quot;}),m}},{&quot;./scales.js&quot;:391}],384:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e,r){var i=t._fullLayout,a=r.vals,o=r.containerStr,s=r.cLetter,l=o?n.nestedProperty(e,o).get():e,u=s+&quot;min&quot;,c=s+&quot;max&quot;,f=s+&quot;mid&quot;,h=l[s+&quot;auto&quot;],d=l[u],p=l[c],g=l[f],v=l.colorscale;!1===h&amp;&amp;void 0!==d||(d=n.aggNums(Math.min,null,a)),!1===h&amp;&amp;void 0!==p||(p=n.aggNums(Math.max,null,a)),!1!==h&amp;&amp;void 0!==g&amp;&amp;(p-g&gt;g-d?d=g-(p-g):p-g&lt;g-d&amp;&amp;(p=g+(g-d))),d===p&amp;&amp;(d-=.5,p+=.5),l[&quot;_&quot;+u]=l[u]=d,l[&quot;_&quot;+c]=l[c]=p,l.autocolorscale&amp;&amp;(v=d*p&lt;0?i.colorscale.diverging:d&gt;=0?i.colorscale.sequential:i.colorscale.sequentialminus,l._colorscale=l.colorscale=v)}},{&quot;../../lib&quot;:495}],385:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./helpers&quot;).hasColorscale;e.exports=function(t){function e(t,e){var r=t[&quot;_&quot;+e];void 0!==r&amp;&amp;(t[e]=r)}function r(t,r){var i=r.container?n.nestedProperty(t,r.container).get():t;if(i){var a=i.zauto||i.cauto,o=r.min,s=r.max;(a||void 0===i[o])&amp;&amp;e(i,o),(a||void 0===i[s])&amp;&amp;e(i,s),i.autocolorscale&amp;&amp;e(i,&quot;colorscale&quot;)}}for(var a=0;a&lt;t.length;a++){var o=t[a],s=o._module.colorbar;if(s)if(Array.isArray(s))for(var l=0;l&lt;s.length;l++)r(o,s[l]);else r(o,s);i(o,&quot;marker.line&quot;)&amp;&amp;r(o,{container:&quot;marker.line&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;}),i(o,&quot;line&quot;)&amp;&amp;r(o,{container:&quot;line&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;})}}},{&quot;../../lib&quot;:495,&quot;./helpers&quot;:387}],386:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../colorbar/has_colorbar&quot;),o=t(&quot;../colorbar/defaults&quot;),s=t(&quot;./scales&quot;).isValid;function l(t,e){var r=e.slice(0,e.length-1);return e?i.nestedProperty(t,r).get()||{}:t}e.exports=function(t,e,r,i,u){var c=u.prefix,f=u.cLetter,h=l(t,c),d=l(e,c),p=l(e._template||{},c)||{},g=h[f+&quot;min&quot;],v=h[f+&quot;max&quot;];i(c+f+&quot;auto&quot;,!(n(g)&amp;&amp;n(v)&amp;&amp;g&lt;v))?i(c+f+&quot;mid&quot;):(i(c+f+&quot;min&quot;),i(c+f+&quot;max&quot;));var m,y,b=h.colorscale,x=p.colorscale;(void 0!==b&amp;&amp;(m=!s(b)),void 0!==x&amp;&amp;(m=!s(x)),i(c+&quot;autocolorscale&quot;,m),i(c+&quot;colorscale&quot;),i(c+&quot;reversescale&quot;),u.noScale||&quot;marker.line.&quot;===c)||(c&amp;&amp;(y=a(h)),i(c+&quot;showscale&quot;,y)&amp;&amp;o(h,d,r))}},{&quot;../../lib&quot;:495,&quot;../colorbar/defaults&quot;:380,&quot;../colorbar/has_colorbar&quot;:382,&quot;./scales&quot;:391,&quot;fast-isnumeric&quot;:90}],387:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;tinycolor2&quot;),a=t(&quot;fast-isnumeric&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../color&quot;),l=t(&quot;./scales&quot;).isValid;function u(t){for(var e=t.length,r=new Array(e),n=e-1,i=0;n&gt;=0;n--,i++){var a=t[n];r[i]=[1-a[0],a[1]]}return r}function c(t){var e={r:t[0],g:t[1],b:t[2],a:t[3]};return i(e).toRgbString()}e.exports={hasColorscale:function(t,e){var r=e?o.nestedProperty(t,e).get()||{}:t,n=r.color,i=!1;if(o.isArrayOrTypedArray(n))for(var s=0;s&lt;n.length;s++)if(a(n[s])){i=!0;break}return o.isPlainObject(r)&amp;&amp;(i||!0===r.showscale||a(r.cmin)&amp;&amp;a(r.cmax)||l(r.colorscale)||o.isPlainObject(r.colorbar))},extractScale:function(t,e){for(var r=e.cLetter,n=t.reversescale?u(t.colorscale):t.colorscale,i=t[r+&quot;min&quot;],a=t[r+&quot;max&quot;],o=n.length,s=new Array(o),l=new Array(o),c=0;c&lt;o;c++){var f=n[c];s[c]=i+f[0]*(a-i),l[c]=f[1]}return{domain:s,range:l}},flipScale:u,makeColorScaleFunc:function(t,e){e=e||{};for(var r=t.domain,o=t.range,l=o.length,u=new Array(l),f=0;f&lt;l;f++){var h=i(o[f]).toRgb();u[f]=[h.r,h.g,h.b,h.a]}var d,p=n.scale.linear().domain(r).range(u).clamp(!0),g=e.noNumericCheck,v=e.returnArray;return(d=g&amp;&amp;v?p:g?function(t){return c(p(t))}:v?function(t){return a(t)?p(t):i(t).isValid()?t:s.defaultLine}:function(t){return a(t)?c(p(t)):i(t).isValid()?t:s.defaultLine}).domain=p.domain,d.range=function(){return o},d}}},{&quot;../../lib&quot;:495,&quot;../color&quot;:376,&quot;./scales&quot;:391,d3:81,&quot;fast-isnumeric&quot;:90,tinycolor2:342}],388:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./scales&quot;),i=t(&quot;./helpers&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;colorscale&quot;,attributes:t(&quot;./attributes&quot;),layoutAttributes:t(&quot;./layout_attributes&quot;),supplyLayoutDefaults:t(&quot;./layout_defaults&quot;),handleDefaults:t(&quot;./defaults&quot;),crossTraceDefaults:t(&quot;./cross_trace_defaults&quot;),calc:t(&quot;./calc&quot;),scales:n.scales,defaultScale:n.defaultScale,getScale:n.get,isValidScale:n.isValid,hasColorscale:i.hasColorscale,flipScale:i.flipScale,extractScale:i.extractScale,makeColorScaleFunc:i.makeColorScaleFunc}},{&quot;./attributes&quot;:383,&quot;./calc&quot;:384,&quot;./cross_trace_defaults&quot;:385,&quot;./defaults&quot;:386,&quot;./helpers&quot;:387,&quot;./layout_attributes&quot;:389,&quot;./layout_defaults&quot;:390,&quot;./scales&quot;:391}],389:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./scales&quot;).scales;e.exports={editType:&quot;calc&quot;,sequential:{valType:&quot;colorscale&quot;,dflt:n.Reds,editType:&quot;calc&quot;},sequentialminus:{valType:&quot;colorscale&quot;,dflt:n.Blues,editType:&quot;calc&quot;},diverging:{valType:&quot;colorscale&quot;,dflt:n.RdBu,editType:&quot;calc&quot;}}},{&quot;./scales&quot;:391}],390:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./layout_attributes&quot;),a=t(&quot;../../plot_api/plot_template&quot;);e.exports=function(t,e){var r=t.colorscale,o=a.newContainer(e,&quot;colorscale&quot;);function s(t,e){return n.coerce(r,o,i,t,e)}s(&quot;sequential&quot;),s(&quot;sequentialminus&quot;),s(&quot;diverging&quot;)}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;./layout_attributes&quot;:389}],391:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;tinycolor2&quot;),i={Greys:[[0,&quot;rgb(0,0,0)&quot;],[1,&quot;rgb(255,255,255)&quot;]],YlGnBu:[[0,&quot;rgb(8,29,88)&quot;],[.125,&quot;rgb(37,52,148)&quot;],[.25,&quot;rgb(34,94,168)&quot;],[.375,&quot;rgb(29,145,192)&quot;],[.5,&quot;rgb(65,182,196)&quot;],[.625,&quot;rgb(127,205,187)&quot;],[.75,&quot;rgb(199,233,180)&quot;],[.875,&quot;rgb(237,248,217)&quot;],[1,&quot;rgb(255,255,217)&quot;]],Greens:[[0,&quot;rgb(0,68,27)&quot;],[.125,&quot;rgb(0,109,44)&quot;],[.25,&quot;rgb(35,139,69)&quot;],[.375,&quot;rgb(65,171,93)&quot;],[.5,&quot;rgb(116,196,118)&quot;],[.625,&quot;rgb(161,217,155)&quot;],[.75,&quot;rgb(199,233,192)&quot;],[.875,&quot;rgb(229,245,224)&quot;],[1,&quot;rgb(247,252,245)&quot;]],YlOrRd:[[0,&quot;rgb(128,0,38)&quot;],[.125,&quot;rgb(189,0,38)&quot;],[.25,&quot;rgb(227,26,28)&quot;],[.375,&quot;rgb(252,78,42)&quot;],[.5,&quot;rgb(253,141,60)&quot;],[.625,&quot;rgb(254,178,76)&quot;],[.75,&quot;rgb(254,217,118)&quot;],[.875,&quot;rgb(255,237,160)&quot;],[1,&quot;rgb(255,255,204)&quot;]],Bluered:[[0,&quot;rgb(0,0,255)&quot;],[1,&quot;rgb(255,0,0)&quot;]],RdBu:[[0,&quot;rgb(5,10,172)&quot;],[.35,&quot;rgb(106,137,247)&quot;],[.5,&quot;rgb(190,190,190)&quot;],[.6,&quot;rgb(220,170,132)&quot;],[.7,&quot;rgb(230,145,90)&quot;],[1,&quot;rgb(178,10,28)&quot;]],Reds:[[0,&quot;rgb(220,220,220)&quot;],[.2,&quot;rgb(245,195,157)&quot;],[.4,&quot;rgb(245,160,105)&quot;],[1,&quot;rgb(178,10,28)&quot;]],Blues:[[0,&quot;rgb(5,10,172)&quot;],[.35,&quot;rgb(40,60,190)&quot;],[.5,&quot;rgb(70,100,245)&quot;],[.6,&quot;rgb(90,120,245)&quot;],[.7,&quot;rgb(106,137,247)&quot;],[1,&quot;rgb(220,220,220)&quot;]],Picnic:[[0,&quot;rgb(0,0,255)&quot;],[.1,&quot;rgb(51,153,255)&quot;],[.2,&quot;rgb(102,204,255)&quot;],[.3,&quot;rgb(153,204,255)&quot;],[.4,&quot;rgb(204,204,255)&quot;],[.5,&quot;rgb(255,255,255)&quot;],[.6,&quot;rgb(255,204,255)&quot;],[.7,&quot;rgb(255,153,255)&quot;],[.8,&quot;rgb(255,102,204)&quot;],[.9,&quot;rgb(255,102,102)&quot;],[1,&quot;rgb(255,0,0)&quot;]],Rainbow:[[0,&quot;rgb(150,0,90)&quot;],[.125,&quot;rgb(0,0,200)&quot;],[.25,&quot;rgb(0,25,255)&quot;],[.375,&quot;rgb(0,152,255)&quot;],[.5,&quot;rgb(44,255,150)&quot;],[.625,&quot;rgb(151,255,0)&quot;],[.75,&quot;rgb(255,234,0)&quot;],[.875,&quot;rgb(255,111,0)&quot;],[1,&quot;rgb(255,0,0)&quot;]],Portland:[[0,&quot;rgb(12,51,131)&quot;],[.25,&quot;rgb(10,136,186)&quot;],[.5,&quot;rgb(242,211,56)&quot;],[.75,&quot;rgb(242,143,56)&quot;],[1,&quot;rgb(217,30,30)&quot;]],Jet:[[0,&quot;rgb(0,0,131)&quot;],[.125,&quot;rgb(0,60,170)&quot;],[.375,&quot;rgb(5,255,255)&quot;],[.625,&quot;rgb(255,255,0)&quot;],[.875,&quot;rgb(250,0,0)&quot;],[1,&quot;rgb(128,0,0)&quot;]],Hot:[[0,&quot;rgb(0,0,0)&quot;],[.3,&quot;rgb(230,0,0)&quot;],[.6,&quot;rgb(255,210,0)&quot;],[1,&quot;rgb(255,255,255)&quot;]],Blackbody:[[0,&quot;rgb(0,0,0)&quot;],[.2,&quot;rgb(230,0,0)&quot;],[.4,&quot;rgb(230,210,0)&quot;],[.7,&quot;rgb(255,255,255)&quot;],[1,&quot;rgb(160,200,255)&quot;]],Earth:[[0,&quot;rgb(0,0,130)&quot;],[.1,&quot;rgb(0,180,180)&quot;],[.2,&quot;rgb(40,210,40)&quot;],[.4,&quot;rgb(230,230,50)&quot;],[.6,&quot;rgb(120,70,20)&quot;],[1,&quot;rgb(255,255,255)&quot;]],Electric:[[0,&quot;rgb(0,0,0)&quot;],[.15,&quot;rgb(30,0,100)&quot;],[.4,&quot;rgb(120,0,100)&quot;],[.6,&quot;rgb(160,90,0)&quot;],[.8,&quot;rgb(230,200,0)&quot;],[1,&quot;rgb(255,250,220)&quot;]],Viridis:[[0,&quot;#440154&quot;],[.06274509803921569,&quot;#48186a&quot;],[.12549019607843137,&quot;#472d7b&quot;],[.18823529411764706,&quot;#424086&quot;],[.25098039215686274,&quot;#3b528b&quot;],[.3137254901960784,&quot;#33638d&quot;],[.3764705882352941,&quot;#2c728e&quot;],[.4392156862745098,&quot;#26828e&quot;],[.5019607843137255,&quot;#21918c&quot;],[.5647058823529412,&quot;#1fa088&quot;],[.6274509803921569,&quot;#28ae80&quot;],[.6901960784313725,&quot;#3fbc73&quot;],[.7529411764705882,&quot;#5ec962&quot;],[.8156862745098039,&quot;#84d44b&quot;],[.8784313725490196,&quot;#addc30&quot;],[.9411764705882353,&quot;#d8e219&quot;],[1,&quot;#fde725&quot;]],Cividis:[[0,&quot;rgb(0,32,76)&quot;],[.058824,&quot;rgb(0,42,102)&quot;],[.117647,&quot;rgb(0,52,110)&quot;],[.176471,&quot;rgb(39,63,108)&quot;],[.235294,&quot;rgb(60,74,107)&quot;],[.294118,&quot;rgb(76,85,107)&quot;],[.352941,&quot;rgb(91,95,109)&quot;],[.411765,&quot;rgb(104,106,112)&quot;],[.470588,&quot;rgb(117,117,117)&quot;],[.529412,&quot;rgb(131,129,120)&quot;],[.588235,&quot;rgb(146,140,120)&quot;],[.647059,&quot;rgb(161,152,118)&quot;],[.705882,&quot;rgb(176,165,114)&quot;],[.764706,&quot;rgb(192,177,109)&quot;],[.823529,&quot;rgb(209,191,102)&quot;],[.882353,&quot;rgb(225,204,92)&quot;],[.941176,&quot;rgb(243,219,79)&quot;],[1,&quot;rgb(255,233,69)&quot;]]},a=i.RdBu;function 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n=t(&quot;../../lib&quot;),i=[[&quot;sw-resize&quot;,&quot;s-resize&quot;,&quot;se-resize&quot;],[&quot;w-resize&quot;,&quot;move&quot;,&quot;e-resize&quot;],[&quot;nw-resize&quot;,&quot;n-resize&quot;,&quot;ne-resize&quot;]];e.exports=function(t,e,r,a){return t=&quot;left&quot;===r?0:&quot;center&quot;===r?1:&quot;right&quot;===r?2:n.constrain(Math.floor(3*t),0,2),e=&quot;bottom&quot;===a?0:&quot;middle&quot;===a?1:&quot;top&quot;===a?2:n.constrain(Math.floor(3*e),0,2),i[e][t]}},{&quot;../../lib&quot;:495}],394:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;mouse-event-offset&quot;),i=t(&quot;has-hover&quot;),a=t(&quot;has-passive-events&quot;),o=t(&quot;../../registry&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../../plots/cartesian/constants&quot;),u=t(&quot;../../constants/interactions&quot;),c=e.exports={};c.align=t(&quot;./align&quot;),c.getCursor=t(&quot;./cursor&quot;);var f=t(&quot;./unhover&quot;);function h(){var 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e=t[0].trace,r=e.error_y||{},a=e.error_x||{},o=n.select(this);o.selectAll(&quot;path.yerror&quot;).style(&quot;stroke-width&quot;,r.thickness+&quot;px&quot;).call(i.stroke,r.color),a.copy_ystyle&amp;&amp;(a=r),o.selectAll(&quot;path.xerror&quot;).style(&quot;stroke-width&quot;,a.thickness+&quot;px&quot;).call(i.stroke,a.color)})}},{&quot;../color&quot;:376,d3:81}],406:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;);e.exports={hoverlabel:{bgcolor:{valType:&quot;color&quot;,arrayOk:!0,editType:&quot;none&quot;},bordercolor:{valType:&quot;color&quot;,arrayOk:!0,editType:&quot;none&quot;},font:n({arrayOk:!0,editType:&quot;none&quot;}),namelength:{valType:&quot;integer&quot;,min:-1,arrayOk:!0,editType:&quot;none&quot;},editType:&quot;calc&quot;}}},{&quot;../../plots/font_attributes&quot;:567}],407:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../registry&quot;);function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&amp;&amp;(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s&lt;e.length;s++){var l=e[s],u=l[0].trace;if(!i.traceIs(u,&quot;pie&quot;)){var c=i.traceIs(u,&quot;2dMap&quot;)?a:n.fillArray;c(u.hoverinfo,l,&quot;hi&quot;,o(u)),u.hovertemplate&amp;&amp;c(u.hovertemplate,l,&quot;ht&quot;),u.hoverlabel&amp;&amp;(c(u.hoverlabel.bgcolor,l,&quot;hbg&quot;),c(u.hoverlabel.bordercolor,l,&quot;hbc&quot;),c(u.hoverlabel.font.size,l,&quot;hts&quot;),c(u.hoverlabel.font.color,l,&quot;htc&quot;),c(u.hoverlabel.font.family,l,&quot;htf&quot;),c(u.hoverlabel.namelength,l,&quot;hnl&quot;))}}}},{&quot;../../lib&quot;:495,&quot;../../registry&quot;:592}],408:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;./hover&quot;).hover;e.exports=function(t,e,r){var a=n.getComponentMethod(&quot;annotations&quot;,&quot;onClick&quot;)(t,t._hoverdata);function o(){t.emit(&quot;plotly_click&quot;,{points:t._hoverdata,event:e})}void 0!==r&amp;&amp;i(t,e,r,!0),t._hoverdata&amp;&amp;e&amp;&amp;e.target&amp;&amp;(a&amp;&amp;a.then?a.then(o):o(),e.stopImmediatePropagation&amp;&amp;e.stopImmediatePropagation())}},{&quot;../../registry&quot;:592,&quot;./hover&quot;:412}],409:[function(t,e,r){&quot;use strict&quot;;e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:&quot;Arial, sans-serif&quot;,HOVERMINTIME:50,HOVERID:&quot;-hover&quot;}},{}],410:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./attributes&quot;),a=t(&quot;./hoverlabel_defaults&quot;);e.exports=function(t,e,r,o){a(t,e,function(r,a){return n.coerce(t,e,i,r,a)},o.hoverlabel)}},{&quot;../../lib&quot;:495,&quot;./attributes&quot;:406,&quot;./hoverlabel_defaults&quot;:413}],411:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if(&quot;splom&quot;===t.type){for(var n=t.xaxes||[],i=t.yaxes||[],a=0;a&lt;n.length;a++)for(var o=0;o&lt;i.length;o++)if(-1!==e.indexOf(n[a]+i[o]))return!0;return!1}return-1!==e.indexOf(r.getSubplot(t))},r.flat=function(t,e){for(var r=new Array(t.length),n=0;n&lt;t.length;n++)r[n]=e;return r},r.p2c=function(t,e){for(var r=new Array(t.length),n=0;n&lt;t.length;n++)r[n]=t[n].p2c(e);return r},r.getDistanceFunction=function(t,e,n,i){return&quot;closest&quot;===t?i||r.quadrature(e,n):&quot;x&quot;===t?e:n},r.getClosest=function(t,e,r){if(!1!==r.index)r.index&gt;=0&amp;&amp;r.index&lt;t.length?r.distance=0:r.index=!1;else for(var n=0;n&lt;t.length;n++){var i=e(t[n]);i&lt;=r.distance&amp;&amp;(r.index=n,r.distance=i)}return r},r.inbox=function(t,e,r){return t*e&lt;0||0===t?r:1/0},r.quadrature=function(t,e){return function(r){var n=t(r),i=e(r);return 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c=n.nestedProperty(e,l).get(),f=new Array(r.length),h=0;h&lt;r.length;h++)f[h]=o(c,r[h]);t[u]=f}}};var i={ids:&quot;id&quot;,locations:&quot;location&quot;,labels:&quot;label&quot;,values:&quot;value&quot;,&quot;marker.colors&quot;:&quot;color&quot;,parents:&quot;parent&quot;};function a(t){return i[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&amp;&amp;Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}},{&quot;../../lib&quot;:495}],412:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;tinycolor2&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../../lib/events&quot;),l=t(&quot;../../lib/svg_text_utils&quot;),u=t(&quot;../../lib/override_cursor&quot;),c=t(&quot;../drawing&quot;),f=t(&quot;../color&quot;),h=t(&quot;../dragelement&quot;),d=t(&quot;../../plots/cartesian/axes&quot;),p=t(&quot;../../registry&quot;),g=t(&quot;./helpers&quot;),v=t(&quot;./constants&quot;),m=v.YANGLE,y=Math.PI*m/180,b=1/Math.sin(y),x=Math.cos(y),_=Math.sin(y),w=v.HOVERARROWSIZE,A=v.HOVERTEXTPAD;r.hover=function(t,e,r,a){t=o.getGraphDiv(t),o.throttle(t._fullLayout._uid+v.HOVERID,v.HOVERMINTIME,function(){!function(t,e,r,a){r||(r=&quot;xy&quot;);var l=Array.isArray(r)?r:[r],c=t._fullLayout,v=c._plots||[],m=v[r],y=c._has(&quot;cartesian&quot;);if(m){var x=m.overlays.map(function(t){return t.id});l=l.concat(x)}for(var _=l.length,w=new Array(_),A=new Array(_),M=!1,C=0;C&lt;_;C++){var O=l[C],R=v[O];if(R)M=!0,w[C]=d.getFromId(t,R.xaxis._id),A[C]=d.getFromId(t,R.yaxis._id);else{var P=c[O]._subplot;w[C]=P.xaxis,A[C]=P.yaxis}}var z=e.hovermode||c.hovermode;z&amp;&amp;!M&amp;&amp;(z=&quot;closest&quot;);if(-1===[&quot;x&quot;,&quot;y&quot;,&quot;closest&quot;].indexOf(z)||!t.calcdata||t.querySelector(&quot;.zoombox&quot;)||t._dragging)return h.unhoverRaw(t,e);var I,N,D,F,j,B,U,V,H,q,G,X,W,Y=-1===c.hoverdistance?1/0:c.hoverdistance,Z=-1===c.spikedistance?1/0:c.spikedistance,Q=[],$=[],J={hLinePoint:null,vLinePoint:null},K=!1;if(Array.isArray(e))for(z=&quot;array&quot;,D=0;D&lt;e.length;D++)(j=t.calcdata[e[D].curveNumber||0])&amp;&amp;(B=j[0].trace,&quot;skip&quot;!==j[0].trace.hoverinfo&amp;&amp;($.push(j),&quot;h&quot;===B.orientation&amp;&amp;(K=!0)));else{for(F=0;F&lt;t.calcdata.length;F++)j=t.calcdata[F],&quot;skip&quot;!==(B=j[0].trace).hoverinfo&amp;&amp;g.isTraceInSubplots(B,l)&amp;&amp;($.push(j),&quot;h&quot;===B.orientation&amp;&amp;(K=!0));var tt,et,rt=!e.target;if(rt)tt=&quot;xpx&quot;in e?e.xpx:w[0]._length/2,et=&quot;ypx&quot;in e?e.ypx:A[0]._length/2;else{if(!1===s.triggerHandler(t,&quot;plotly_beforehover&quot;,e))return;var nt=e.target.getBoundingClientRect();if(tt=e.clientX-nt.left,et=e.clientY-nt.top,tt&lt;0||tt&gt;w[0]._length||et&lt;0||et&gt;A[0]._length)return h.unhoverRaw(t,e)}if(e.pointerX=tt+w[0]._offset,e.pointerY=et+A[0]._offset,I=&quot;xval&quot;in e?g.flat(l,e.xval):g.p2c(w,tt),N=&quot;yval&quot;in e?g.flat(l,e.yval):g.p2c(A,et),!i(I[0])||!i(N[0]))return o.warn(&quot;Fx.hover failed&quot;,e,t),h.unhoverRaw(t,e)}var it=1/0;for(F=0;F&lt;$.length;F++)if((j=$[F])&amp;&amp;j[0]&amp;&amp;j[0].trace&amp;&amp;!0===j[0].trace.visible&amp;&amp;(B=j[0].trace,-1===[&quot;carpet&quot;,&quot;contourcarpet&quot;].indexOf(B._module.name))){if(&quot;splom&quot;===B.type?U=l[V=0]:(U=g.getSubplot(B),V=l.indexOf(U)),H=z,X={cd:j,trace:B,xa:w[V],ya:A[V],maxHoverDistance:Y,maxSpikeDistance:Z,index:!1,distance:Math.min(it,Y),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:f.defaultLine,name:B.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},c[U]&amp;&amp;(X.subplot=c[U]._subplot),c._splomScenes&amp;&amp;c._splomScenes[B.uid]&amp;&amp;(X.scene=c._splomScenes[B.uid]),W=Q.length,&quot;array&quot;===H){var at=e[F];&quot;pointNumber&quot;in at?(X.index=at.pointNumber,H=&quot;closest&quot;):(H=&quot;&quot;,&quot;xval&quot;in at&amp;&amp;(q=at.xval,H=&quot;x&quot;),&quot;yval&quot;in at&amp;&amp;(G=at.yval,H=H?&quot;closest&quot;:&quot;y&quot;))}else q=I[V],G=N[V];if(0!==Y)if(B._module&amp;&amp;B._module.hoverPoints){var ot=B._module.hoverPoints(X,q,G,H,c._hoverlayer);if(ot)for(var st,lt=0;lt&lt;ot.length;lt++)st=ot[lt],i(st.x0)&amp;&amp;i(st.y0)&amp;&amp;Q.push(E(st,z))}else o.log(&quot;Unrecognized trace type in hover:&quot;,B);if(&quot;closest&quot;===z&amp;&amp;Q.length&gt;W&amp;&amp;(Q.splice(0,W),it=Q[0].distance),y&amp;&amp;0!==Z&amp;&amp;0===Q.length){X.distance=Z,X.index=!1;var ut=B._module.hoverPoints(X,q,G,&quot;closest&quot;,c._hoverlayer);if(ut&amp;&amp;(ut=ut.filter(function(t){return t.spikeDistance&lt;=Z})),ut&amp;&amp;ut.length){var ct,ft=ut.filter(function(t){return t.xa.showspikes});if(ft.length){var ht=ft[0];i(ht.x0)&amp;&amp;i(ht.y0)&amp;&amp;(ct=vt(ht),(!J.vLinePoint||J.vLinePoint.spikeDistance&gt;ct.spikeDistance)&amp;&amp;(J.vLinePoint=ct))}var dt=ut.filter(function(t){return t.ya.showspikes});if(dt.length){var pt=dt[0];i(pt.x0)&amp;&amp;i(pt.y0)&amp;&amp;(ct=vt(pt),(!J.hLinePoint||J.hLinePoint.spikeDistance&gt;ct.spikeDistance)&amp;&amp;(J.hLinePoint=ct))}}}}function gt(t,e){for(var r,n=null,i=1/0,a=0;a&lt;t.length;a++)(r=t[a].spikeDistance)&lt;i&amp;&amp;r&lt;=e&amp;&amp;(n=t[a],i=r);return n}function vt(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}var mt={fullLayout:c,container:c._hoverlayer,outerContainer:c._paperdiv,event:e},yt=t._spikepoints,bt={vLinePoint:J.vLinePoint,hLinePoint:J.hLinePoint};if(t._spikepoints=bt,y&amp;&amp;0!==Z&amp;&amp;0!==Q.length){var xt=Q.filter(function(t){return t.ya.showspikes}),_t=gt(xt,Z);J.hLinePoint=vt(_t);var wt=Q.filter(function(t){return t.xa.showspikes}),At=gt(wt,Z);J.vLinePoint=vt(At)}if(0===Q.length){var Mt=h.unhoverRaw(t,e);return!y||null===J.hLinePoint&amp;&amp;null===J.vLinePoint||S(yt)&amp;&amp;L(J,mt),Mt}y&amp;&amp;S(yt)&amp;&amp;L(J,mt);Q.sort(function(t,e){return t.distance-e.distance});var Tt=t._hoverdata,kt=[];for(D=0;D&lt;Q.length;D++){var Et=Q[D],Lt=g.makeEventData(Et,Et.trace,Et.cd);if(!1!==Et.hovertemplate){var St=!1;Et.cd[Et.index]&amp;&amp;Et.cd[Et.index].ht&amp;&amp;(St=Et.cd[Et.index].ht),Et.hovertemplate=St||Et.trace.hovertemplate||!1}Et.eventData=[Lt],kt.push(Lt)}t._hoverdata=kt;var Ct=&quot;y&quot;===z&amp;&amp;($.length&gt;1||Q.length&gt;1)||&quot;closest&quot;===z&amp;&amp;K&amp;&amp;Q.length&gt;1,Ot=f.combine(c.plot_bgcolor||f.background,c.paper_bgcolor),Rt={hovermode:z,rotateLabels:Ct,bgColor:Ot,container:c._hoverlayer,outerContainer:c._paperdiv,commonLabelOpts:c.hoverlabel,hoverdistance:c.hoverdistance},Pt=T(Q,Rt,t);if(function(t,e,r){var n,i,a,o,s,l,u,c=0,f=1,h=t.size(),d=new Array(h);function p(t){var 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t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)});!n&amp;&amp;c&lt;=h;){for(c++,n=!0,o=0;o&lt;d.length-1;){var g=d[o],v=d[o+1],m=g[g.length-1],y=v[0];if((i=m.pos+m.dp+m.size-y.pos-y.dp+y.size)&gt;.01&amp;&amp;m.pmin===y.pmin&amp;&amp;m.pmax===y.pmax){for(s=v.length-1;s&gt;=0;s--)v[s].dp+=i;for(g.push.apply(g,v),d.splice(o+1,1),u=0,s=g.length-1;s&gt;=0;s--)u+=g[s].dp;for(a=u/g.length,s=g.length-1;s&gt;=0;s--)g[s].dp-=a;n=!1}else o++}d.forEach(p)}for(o=d.length-1;o&gt;=0;o--){var x=d[o];for(s=x.length-1;s&gt;=0;s--){var _=x[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Pt,Ct?&quot;xa&quot;:&quot;ya&quot;,c),k(Pt,Ct),e.target&amp;&amp;e.target.tagName){var zt=p.getComponentMethod(&quot;annotations&quot;,&quot;hasClickToShow&quot;)(t,kt);u(n.select(e.target),zt?&quot;pointer&quot;:&quot;&quot;)}if(!e.target||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n&gt;=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Tt))return;Tt&amp;&amp;t.emit(&quot;plotly_unhover&quot;,{event:e,points:Tt});t.emit(&quot;plotly_hover&quot;,{event:e,points:t._hoverdata,xaxes:w,yaxes:A,xvals:I,yvals:N})}(t,e,r,a)})},r.loneHover=function(t,e){var r={color:t.color||f.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,trace:t.trace||{index:0,hoverinfo:&quot;&quot;},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1},i=n.select(e.container),a=e.outerContainer?n.select(e.outerContainer):i,o={hovermode:&quot;closest&quot;,rotateLabels:!1,bgColor:e.bgColor||f.background,container:i,outerContainer:a},s=T([r],o,e.gd);return k(s,o.rotateLabels),s.node()},r.multiHovers=function(t,e){Array.isArray(t)||(t=[t]);var 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i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,u=e.bgColor,h=e.container,d=e.outerContainer,p=e.commonLabelOpts||{},g=e.fontFamily||v.HOVERFONT,y=e.fontSize||v.HOVERFONTSIZE,b=t[0],x=b.xa,_=b.ya,T=&quot;y&quot;===a?&quot;yLabel&quot;:&quot;xLabel&quot;,k=b[T],E=(String(k)||&quot;&quot;).split(&quot; &quot;)[0],L=d.node().getBoundingClientRect(),S=L.top,C=L.width,O=L.height,R=void 0!==k&amp;&amp;b.distance&lt;=e.hoverdistance&amp;&amp;(&quot;x&quot;===a||&quot;y&quot;===a);if(R){var P,z,I=!0;for(P=0;P&lt;t.length;P++)if(I&amp;&amp;void 0===t[P].zLabel&amp;&amp;(I=!1),z=t[P].hoverinfo||t[P].trace.hoverinfo){var N=Array.isArray(z)?z:z.split(&quot;+&quot;);if(-1===N.indexOf(&quot;all&quot;)&amp;&amp;-1===N.indexOf(a)){R=!1;break}}I&amp;&amp;(R=!1)}var D=h.selectAll(&quot;g.axistext&quot;).data(R?[0]:[]);D.enter().append(&quot;g&quot;).classed(&quot;axistext&quot;,!0),D.exit().remove(),D.each(function(){var 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t=n.select(this);t.append(&quot;rect&quot;).call(f.fill,f.addOpacity(u,.8)),t.append(&quot;text&quot;).classed(&quot;name&quot;,!0),t.append(&quot;path&quot;).style(&quot;stroke-width&quot;,&quot;1px&quot;),t.append(&quot;text&quot;).classed(&quot;nums&quot;,!0).call(c.font,g,y)}),F.exit().remove(),F.each(function(t){var e=n.select(this).attr(&quot;transform&quot;,&quot;&quot;),h=&quot;&quot;,d=&quot;&quot;,p=t.bgcolor||t.color,v=f.combine(f.opacity(p)?p:f.defaultLine,u),b=f.combine(f.opacity(t.color)?t.color:f.defaultLine,u),x=t.borderColor||f.contrast(v);void 0!==t.nameOverride&amp;&amp;(t.name=t.nameOverride),t.name&amp;&amp;(i.meta&amp;&amp;(t.name=o.templateString(t.name,{meta:i.meta})),h=l.plainText(t.name||&quot;&quot;,{len:t.nameLength,allowedTags:[&quot;br&quot;,&quot;sub&quot;,&quot;sup&quot;,&quot;b&quot;,&quot;i&quot;,&quot;em&quot;]})),void 0!==t.zLabel?(void 0!==t.xLabel&amp;&amp;(d+=&quot;x: &quot;+t.xLabel+&quot;&lt;br&gt;&quot;),void 0!==t.yLabel&amp;&amp;(d+=&quot;y: 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r=t.index,n=t.trace||{},i=t.cd[0],a=t.cd[r]||{},s=Array.isArray(r)?function(t,e){return o.castOption(i,r,t)||o.extractOption({},n,&quot;&quot;,e)}:function(t,e){return o.extractOption(a,n,t,e)};function l(e,r,n){var 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0!==t.yLabelVal&amp;&amp;(t.yLabel=&quot;yLabel&quot;in t?t.yLabel:d.hoverLabelText(t.ya,t.yLabelVal),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&amp;&amp;void 0===t.zLabel&amp;&amp;(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||&quot;log&quot;===t.xa.type&amp;&amp;t.xerr&lt;=0)){var u=d.tickText(t.xa,t.xa.c2l(t.xerr),&quot;hover&quot;).text;void 0!==t.xerrneg?t.xLabel+=&quot; +&quot;+u+&quot; / -&quot;+d.tickText(t.xa,t.xa.c2l(t.xerrneg),&quot;hover&quot;).text:t.xLabel+=&quot; \\xb1 &quot;+u,&quot;x&quot;===e&amp;&amp;(t.distance+=1)}if(!(isNaN(t.yerr)||&quot;log&quot;===t.ya.type&amp;&amp;t.yerr&lt;=0)){var c=d.tickText(t.ya,t.ya.c2l(t.yerr),&quot;hover&quot;).text;void 0!==t.yerrneg?t.yLabel+=&quot; +&quot;+c+&quot; / -&quot;+d.tickText(t.ya,t.ya.c2l(t.yerrneg),&quot;hover&quot;).text:t.yLabel+=&quot; \\xb1 &quot;+c,&quot;y&quot;===e&amp;&amp;(t.distance+=1)}var f=t.hoverinfo||t.trace.hoverinfo;return f&amp;&amp;&quot;all&quot;!==f&amp;&amp;(-1===(f=Array.isArray(f)?f:f.split(&quot;+&quot;)).indexOf(&quot;x&quot;)&amp;&amp;(t.xLabel=void 0),-1===f.indexOf(&quot;y&quot;)&amp;&amp;(t.yLabel=void 0),-1===f.indexOf(&quot;z&quot;)&amp;&amp;(t.zLabel=void 0),-1===f.indexOf(&quot;text&quot;)&amp;&amp;(t.text=void 0),-1===f.indexOf(&quot;name&quot;)&amp;&amp;(t.name=void 0)),t}function L(t,e){var r,n,i=e.container,o=e.fullLayout,s=e.event,l=!!t.hLinePoint,u=!!t.vLinePoint;if(i.selectAll(&quot;.spikeline&quot;).remove(),u||l){var h=f.combine(o.plot_bgcolor,o.paper_bgcolor);if(l){var d,p,g=t.hLinePoint;r=g&amp;&amp;g.xa,&quot;cursor&quot;===(n=g&amp;&amp;g.ya).spikesnap?(d=s.pointerX,p=s.pointerY):(d=r._offset+g.x,p=n._offset+g.y);var v,m,y=a.readability(g.color,h)&lt;1.5?f.contrast(h):g.color,b=n.spikemode,x=n.spikethickness,_=n.spikecolor||y,w=n._boundingBox,A=(w.left+w.right)/2&lt;d?w.right:w.left;-1===b.indexOf(&quot;toaxis&quot;)&amp;&amp;-1===b.indexOf(&quot;across&quot;)||(-1!==b.indexOf(&quot;toaxis&quot;)&amp;&amp;(v=A,m=d),-1!==b.indexOf(&quot;across&quot;)&amp;&amp;(v=n._counterSpan[0],m=n._counterSpan[1]),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:v,x2:m,y1:p,y2:p,&quot;stroke-width&quot;:x,stroke:_,&quot;stroke-dasharray&quot;:c.dashStyle(n.spikedash,x)}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:v,x2:m,y1:p,y2:p,&quot;stroke-width&quot;:x+2,stroke:h}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0)),-1!==b.indexOf(&quot;marker&quot;)&amp;&amp;i.insert(&quot;circle&quot;,&quot;:first-child&quot;).attr({cx:A+(&quot;right&quot;!==n.side?x:-x),cy:p,r:x,fill:_}).classed(&quot;spikeline&quot;,!0)}if(u){var M,T,k=t.vLinePoint;r=k&amp;&amp;k.xa,n=k&amp;&amp;k.ya,&quot;cursor&quot;===r.spikesnap?(M=s.pointerX,T=s.pointerY):(M=r._offset+k.x,T=n._offset+k.y);var E,L,S=a.readability(k.color,h)&lt;1.5?f.contrast(h):k.color,C=r.spikemode,O=r.spikethickness,R=r.spikecolor||S,P=r._boundingBox,z=(P.top+P.bottom)/2&lt;T?P.bottom:P.top;-1===C.indexOf(&quot;toaxis&quot;)&amp;&amp;-1===C.indexOf(&quot;across&quot;)||(-1!==C.indexOf(&quot;toaxis&quot;)&amp;&amp;(E=z,L=T),-1!==C.indexOf(&quot;across&quot;)&amp;&amp;(E=r._counterSpan[0],L=r._counterSpan[1]),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:M,x2:M,y1:E,y2:L,&quot;stroke-width&quot;:O,stroke:R,&quot;stroke-dasharray&quot;:c.dashStyle(r.spikedash,O)}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:M,x2:M,y1:E,y2:L,&quot;stroke-width&quot;:O+2,stroke:h}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0)),-1!==C.indexOf(&quot;marker&quot;)&amp;&amp;i.insert(&quot;circle&quot;,&quot;:first-child&quot;).attr({cx:M,cy:z-(&quot;top&quot;!==r.side?O:-O),r:O,fill:R}).classed(&quot;spikeline&quot;,!0)}}}function S(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}},{&quot;../../lib&quot;:495,&quot;../../lib/events&quot;:487,&quot;../../lib/override_cursor&quot;:506,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;./constants&quot;:409,&quot;./helpers&quot;:411,d3:81,&quot;fast-isnumeric&quot;:90,tinycolor2:342}],413:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e,r,i){r(&quot;hoverlabel.bgcolor&quot;,(i=i||{}).bgcolor),r(&quot;hoverlabel.bordercolor&quot;,i.bordercolor),r(&quot;hoverlabel.namelength&quot;,i.namelength),n.coerceFont(r,&quot;hoverlabel.font&quot;,i.font)}},{&quot;../../lib&quot;:495}],414:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){t=t||{};(e=e||{}).description&amp;&amp;e.description;var r=e.keys||[];if(r.length&gt;0){for(var n=[],i=0;i&lt;r.length;i++)n[i]=&quot;`&quot;+r[i]+&quot;`&quot;;&quot;Finally, the template string has access to &quot;,1===r.length?&quot;variable &quot;+n[0]:&quot;variables &quot;+n.slice(0,-1).join(&quot;, &quot;)+&quot; and &quot;+n.slice(-1)+&quot;.&quot;}var a={valType:&quot;string&quot;,dflt:&quot;&quot;,editType:t.editType||&quot;none&quot;};return!1!==t.arrayOk&amp;&amp;(a.arrayOk=!0),a}},{}],415:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../dragelement&quot;),o=t(&quot;./helpers&quot;),s=t(&quot;./layout_attributes&quot;),l=t(&quot;./hover&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;fx&quot;,constants:t(&quot;./constants&quot;),schema:{layout:s},attributes:t(&quot;./attributes&quot;),layoutAttributes:s,supplyLayoutGlobalDefaults:t(&quot;./layout_global_defaults&quot;),supplyDefaults:t(&quot;./defaults&quot;),supplyLayoutDefaults:t(&quot;./layout_defaults&quot;),calc:t(&quot;./calc&quot;),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,&quot;hoverlabel.&quot;+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,&quot;hoverinfo&quot;,function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)})},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,multiHovers:l.multiHovers,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(&quot;g.hovertext&quot;).remove(),e.selectAll(&quot;.spikeline&quot;).remove()},click:t(&quot;./click&quot;)}},{&quot;../../lib&quot;:495,&quot;../dragelement&quot;:394,&quot;./attributes&quot;:406,&quot;./calc&quot;:407,&quot;./click&quot;:408,&quot;./constants&quot;:409,&quot;./defaults&quot;:410,&quot;./helpers&quot;:411,&quot;./hover&quot;:412,&quot;./layout_attributes&quot;:416,&quot;./layout_defaults&quot;:417,&quot;./layout_global_defaults&quot;:418,d3:81}],416:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./constants&quot;),i=t(&quot;../../plots/font_attributes&quot;)({editType:&quot;none&quot;});i.family.dflt=n.HOVERFONT,i.size.dflt=n.HOVERFONTSIZE,e.exports={clickmode:{valType:&quot;flaglist&quot;,flags:[&quot;event&quot;,&quot;select&quot;],dflt:&quot;event&quot;,editType:&quot;plot&quot;,extras:[&quot;none&quot;]},dragmode:{valType:&quot;enumerated&quot;,values:[&quot;zoom&quot;,&quot;pan&quot;,&quot;select&quot;,&quot;lasso&quot;,&quot;orbit&quot;,&quot;turntable&quot;,!1],dflt:&quot;zoom&quot;,editType:&quot;modebar&quot;},hovermode:{valType:&quot;enumerated&quot;,values:[&quot;x&quot;,&quot;y&quot;,&quot;closest&quot;,!1],editType:&quot;modebar&quot;},hoverdistance:{valType:&quot;integer&quot;,min:-1,dflt:20,editType:&quot;none&quot;},spikedistance:{valType:&quot;integer&quot;,min:-1,dflt:20,editType:&quot;none&quot;},hoverlabel:{bgcolor:{valType:&quot;color&quot;,editType:&quot;none&quot;},bordercolor:{valType:&quot;color&quot;,editType:&quot;none&quot;},font:i,namelength:{valType:&quot;integer&quot;,min:-1,dflt:15,editType:&quot;none&quot;},editType:&quot;none&quot;},selectdirection:{valType:&quot;enumerated&quot;,values:[&quot;h&quot;,&quot;v&quot;,&quot;d&quot;,&quot;any&quot;],dflt:&quot;any&quot;,editType:&quot;none&quot;}}},{&quot;../../plots/font_attributes&quot;:567,&quot;./constants&quot;:409}],417:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./layout_attributes&quot;);e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}var o,s=a(&quot;clickmode&quot;);&quot;select&quot;===a(&quot;dragmode&quot;)&amp;&amp;a(&quot;selectdirection&quot;),e._has(&quot;cartesian&quot;)?s.indexOf(&quot;select&quot;)&gt;-1?o=&quot;closest&quot;:(e._isHoriz=function(t,e){for(var r=e._scatterStackOpts||{},n=0;n&lt;t.length;n++){var i=t[n],a=i.xaxis+i.yaxis,o=r[a]||{},s=o[i.stackgroup]||{};if(&quot;h&quot;!==i.orientation&amp;&amp;&quot;h&quot;!==s.orientation)return!1}return!0}(r,e),o=e._isHoriz?&quot;y&quot;:&quot;x&quot;):o=&quot;closest&quot;,a(&quot;hovermode&quot;,o)&amp;&amp;(a(&quot;hoverdistance&quot;),a(&quot;spikedistance&quot;));var l=e._has(&quot;mapbox&quot;),u=e._has(&quot;geo&quot;),c=e._basePlotModules.length;&quot;zoom&quot;===e.dragmode&amp;&amp;((l||u)&amp;&amp;1===c||l&amp;&amp;u&amp;&amp;2===c)&amp;&amp;(e.dragmode=&quot;pan&quot;)}},{&quot;../../lib&quot;:495,&quot;./layout_attributes&quot;:416}],418:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./hoverlabel_defaults&quot;),a=t(&quot;./layout_attributes&quot;);e.exports=function(t,e){i(t,e,function(r,i){return n.coerce(t,e,a,r,i)})}},{&quot;../../lib&quot;:495,&quot;./hoverlabel_defaults&quot;:413,&quot;./layout_attributes&quot;:416}],419:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../lib/regex&quot;).counter,a=t(&quot;../../plots/domain&quot;).attributes,o=t(&quot;../../plots/cartesian/constants&quot;).idRegex,s=t(&quot;../../plot_api/plot_template&quot;),l={rows:{valType:&quot;integer&quot;,min:1,editType:&quot;plot&quot;},roworder:{valType:&quot;enumerated&quot;,values:[&quot;top to bottom&quot;,&quot;bottom to top&quot;],dflt:&quot;top to bottom&quot;,editType:&quot;plot&quot;},columns:{valType:&quot;integer&quot;,min:1,editType:&quot;plot&quot;},subplots:{valType:&quot;info_array&quot;,freeLength:!0,dimensions:2,items:{valType:&quot;enumerated&quot;,values:[i(&quot;xy&quot;).toString(),&quot;&quot;],editType:&quot;plot&quot;},editType:&quot;plot&quot;},xaxes:{valType:&quot;info_array&quot;,freeLength:!0,items:{valType:&quot;enumerated&quot;,values:[o.x.toString(),&quot;&quot;],editType:&quot;plot&quot;},editType:&quot;plot&quot;},yaxes:{valType:&quot;info_array&quot;,freeLength:!0,items:{valType:&quot;enumerated&quot;,values:[o.y.toString(),&quot;&quot;],editType:&quot;plot&quot;},editType:&quot;plot&quot;},pattern:{valType:&quot;enumerated&quot;,values:[&quot;independent&quot;,&quot;coupled&quot;],dflt:&quot;coupled&quot;,editType:&quot;plot&quot;},xgap:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;},ygap:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;},domain:a({name:&quot;grid&quot;,editType:&quot;plot&quot;,noGridCell:!0},{}),xside:{valType:&quot;enumerated&quot;,values:[&quot;bottom&quot;,&quot;bottom plot&quot;,&quot;top plot&quot;,&quot;top&quot;],dflt:&quot;bottom plot&quot;,editType:&quot;plot&quot;},yside:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;left plot&quot;,&quot;right plot&quot;,&quot;right&quot;],dflt:&quot;left plot&quot;,editType:&quot;plot&quot;},editType:&quot;plot&quot;};function u(t,e,r){var n=e[r+&quot;axes&quot;],i=Object.keys((t._splomAxes||{})[r]||{});return Array.isArray(n)?n:i.length?i:void 0}function c(t,e,r,n,i,a){var o=e(t+&quot;gap&quot;,r),s=e(&quot;domain.&quot;+t);e(t+&quot;side&quot;,n);for(var l=new Array(i),u=s[0],c=(s[1]-u)/(i-o),f=c*(1-o),h=0;h&lt;i;h++){var d=u+c*h;l[a?i-1-h:h]=[d,d+f]}return l}function f(t,e,r,n,i){var a,o=new Array(r);function s(t,r){-1!==e.indexOf(r)&amp;&amp;void 0===n[r]?(o[t]=r,n[r]=t):o[t]=&quot;&quot;}if(Array.isArray(t))for(a=0;a&lt;r;a++)s(a,t[a]);else for(s(0,i),a=1;a&lt;r;a++)s(a,i+(a+1));return o}e.exports={moduleType:&quot;component&quot;,name:&quot;grid&quot;,schema:{layout:{grid:l}},layoutAttributes:l,sizeDefaults:function(t,e){var r=t.grid||{},i=u(e,r,&quot;x&quot;),a=u(e,r,&quot;y&quot;);if(t.grid||i||a){var o,f,h=Array.isArray(r.subplots)&amp;&amp;Array.isArray(r.subplots[0]),d=Array.isArray(i),p=Array.isArray(a),g=d&amp;&amp;i!==r.xaxes&amp;&amp;p&amp;&amp;a!==r.yaxes;h?(o=r.subplots.length,f=r.subplots[0].length):(p&amp;&amp;(o=a.length),d&amp;&amp;(f=i.length));var v=s.newContainer(e,&quot;grid&quot;),m=M(&quot;rows&quot;,o),y=M(&quot;columns&quot;,f);if(m*y&gt;1){h||d||p||&quot;independent&quot;===M(&quot;pattern&quot;)&amp;&amp;(h=!0),v._hasSubplotGrid=h;var b,x,_=&quot;top to bottom&quot;===M(&quot;roworder&quot;),w=h?.2:.1,A=h?.3:.1;g&amp;&amp;e._splomGridDflt&amp;&amp;(b=e._splomGridDflt.xside,x=e._splomGridDflt.yside),v._domains={x:c(&quot;x&quot;,M,w,b,y),y:c(&quot;y&quot;,M,A,x,m,_)}}else delete e.grid}function M(t,e){return n.coerce(r,v,l,t,e)}},contentDefaults:function(t,e){var r=e.grid;if(r&amp;&amp;r._domains){var n,i,a,o,s,l,c,h=t.grid||{},d=e._subplots,p=r._hasSubplotGrid,g=r.rows,v=r.columns,m=&quot;independent&quot;===r.pattern,y=r._axisMap={};if(p){var b=h.subplots||[];l=r.subplots=new Array(g);var x=1;for(n=0;n&lt;g;n++){var _=l[n]=new Array(v),w=b[n]||[];for(i=0;i&lt;v;i++)if(m?(s=1===x?&quot;xy&quot;:&quot;x&quot;+x+&quot;y&quot;+x,x++):s=w[i],_[i]=&quot;&quot;,-1!==d.cartesian.indexOf(s)){if(c=s.indexOf(&quot;y&quot;),a=s.slice(0,c),o=s.slice(c),void 0!==y[a]&amp;&amp;y[a]!==i||void 0!==y[o]&amp;&amp;y[o]!==n)continue;_[i]=s,y[a]=i,y[o]=n}}}else{var A=u(e,h,&quot;x&quot;),M=u(e,h,&quot;y&quot;);r.xaxes=f(A,d.xaxis,v,y,&quot;x&quot;),r.yaxes=f(M,d.yaxis,g,y,&quot;y&quot;)}var T=r._anchors={},k=&quot;top to bottom&quot;===r.roworder;for(var E in y){var L,S,C,O=E.charAt(0),R=r[O+&quot;side&quot;];if(R.length&lt;8)T[E]=&quot;free&quot;;else if(&quot;x&quot;===O){if(&quot;t&quot;===R.charAt(0)===k?(L=0,S=1,C=g):(L=g-1,S=-1,C=-1),p){var P=y[E];for(n=L;n!==C;n+=S)if((s=l[n][P])&amp;&amp;(c=s.indexOf(&quot;y&quot;),s.slice(0,c)===E)){T[E]=s.slice(c);break}}else for(n=L;n!==C;n+=S)if(o=r.yaxes[n],-1!==d.cartesian.indexOf(E+o)){T[E]=o;break}}else if(&quot;l&quot;===R.charAt(0)?(L=0,S=1,C=v):(L=v-1,S=-1,C=-1),p){var z=y[E];for(n=L;n!==C;n+=S)if((s=l[z][n])&amp;&amp;(c=s.indexOf(&quot;y&quot;),s.slice(c)===E)){T[E]=s.slice(0,c);break}}else for(n=L;n!==C;n+=S)if(a=r.xaxes[n],-1!==d.cartesian.indexOf(a+E)){T[E]=a;break}}}}}},{&quot;../../lib&quot;:495,&quot;../../lib/regex&quot;:510,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/constants&quot;:547,&quot;../../plots/domain&quot;:566}],420:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/cartesian/constants&quot;),i=t(&quot;../../plot_api/plot_template&quot;).templatedArray;e.exports=i(&quot;image&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;arraydraw&quot;},source:{valType:&quot;string&quot;,editType:&quot;arraydraw&quot;},layer:{valType:&quot;enumerated&quot;,values:[&quot;below&quot;,&quot;above&quot;],dflt:&quot;above&quot;,editType:&quot;arraydraw&quot;},sizex:{valType:&quot;number&quot;,dflt:0,editType:&quot;arraydraw&quot;},sizey:{valType:&quot;number&quot;,dflt:0,editType:&quot;arraydraw&quot;},sizing:{valType:&quot;enumerated&quot;,values:[&quot;fill&quot;,&quot;contain&quot;,&quot;stretch&quot;],dflt:&quot;contain&quot;,editType:&quot;arraydraw&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1,editType:&quot;arraydraw&quot;},x:{valType:&quot;any&quot;,dflt:0,editType:&quot;arraydraw&quot;},y:{valType:&quot;any&quot;,dflt:0,editType:&quot;arraydraw&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;,editType:&quot;arraydraw&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;top&quot;,editType:&quot;arraydraw&quot;},xref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,n.idRegex.x.toString()],dflt:&quot;paper&quot;,editType:&quot;arraydraw&quot;},yref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,n.idRegex.y.toString()],dflt:&quot;paper&quot;,editType:&quot;arraydraw&quot;},editType:&quot;arraydraw&quot;})},{&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/constants&quot;:547}],421:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib/to_log_range&quot;);e.exports=function(t,e,r,a){e=e||{};var o=&quot;log&quot;===r&amp;&amp;&quot;linear&quot;===e.type,s=&quot;linear&quot;===r&amp;&amp;&quot;log&quot;===e.type;if(o||s)for(var l,u,c=t._fullLayout.images,f=e._id.charAt(0),h=0;h&lt;c.length;h++)if(u=&quot;images[&quot;+h+&quot;].&quot;,(l=c[h])[f+&quot;ref&quot;]===e._id){var d=l[f],p=l[&quot;size&quot;+f],g=null,v=null;if(o){g=i(d,e.range);var m=p/Math.pow(10,g)/2;v=2*Math.log(m+Math.sqrt(1+m*m))/Math.LN10}else v=(g=Math.pow(10,d))*(Math.pow(10,p/2)-Math.pow(10,-p/2));n(g)?n(v)||(v=null):(g=null,v=null),a(u+f,g),a(u+&quot;size&quot;+f,v)}}},{&quot;../../lib/to_log_range&quot;:520,&quot;fast-isnumeric&quot;:90}],422:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;../../plots/array_container_defaults&quot;),o=t(&quot;./attributes&quot;);function s(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var s=a(&quot;source&quot;);if(!a(&quot;visible&quot;,!!s))return e;a(&quot;layer&quot;),a(&quot;xanchor&quot;),a(&quot;yanchor&quot;),a(&quot;sizex&quot;),a(&quot;sizey&quot;),a(&quot;sizing&quot;),a(&quot;opacity&quot;);for(var l={_fullLayout:r},u=[&quot;x&quot;,&quot;y&quot;],c=0;c&lt;2;c++){var f=u[c],h=i.coerceRef(t,e,l,f,&quot;paper&quot;);if(&quot;paper&quot;!==h)i.getFromId(l,h)._imgIndices.push(e._index);i.coercePosition(e,l,a,h,f,0)}return e}e.exports=function(t,e){a(t,e,{name:&quot;images&quot;,handleItemDefaults:s})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;../../plots/cartesian/axes&quot;:541,&quot;./attributes&quot;:420}],423:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../drawing&quot;),a=t(&quot;../../plots/cartesian/axes&quot;),o=t(&quot;../../constants/xmlns_namespaces&quot;);e.exports=function(t){var e,r,s=t._fullLayout,l=[],u={},c=[];for(r=0;r&lt;s.images.length;r++){var f=s.images[r];if(f.visible)if(&quot;below&quot;===f.layer&amp;&amp;&quot;paper&quot;!==f.xref&amp;&amp;&quot;paper&quot;!==f.yref){e=f.xref+f.yref;var h=s._plots[e];if(!h){c.push(f);continue}h.mainplot&amp;&amp;(e=h.mainplot.id),u[e]||(u[e]=[]),u[e].push(f)}else&quot;above&quot;===f.layer?l.push(f):c.push(f)}var d={x:{left:{sizing:&quot;xMin&quot;,offset:0},center:{sizing:&quot;xMid&quot;,offset:-.5},right:{sizing:&quot;xMax&quot;,offset:-1}},y:{top:{sizing:&quot;YMin&quot;,offset:0},middle:{sizing:&quot;YMid&quot;,offset:-.5},bottom:{sizing:&quot;YMax&quot;,offset:-1}}};function p(e){var r=n.select(this);if(!this.img||this.img.src!==e.source){r.attr(&quot;xmlns&quot;,o.svg);var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute(&quot;crossOrigin&quot;,&quot;anonymous&quot;),n.onerror=i,n.onload=function(){var e=document.createElement(&quot;canvas&quot;);e.width=this.width,e.height=this.height,e.getContext(&quot;2d&quot;).drawImage(this,0,0);var n=e.toDataURL(&quot;image/png&quot;);r.attr(&quot;xlink:href&quot;,n),t()},r.on(&quot;error&quot;,i),n.src=e.source}.bind(this));t._promises.push(i)}}function g(e){var r=n.select(this),o=a.getFromId(t,e.xref),l=a.getFromId(t,e.yref),u=s._size,c=o?Math.abs(o.l2p(e.sizex)-o.l2p(0)):e.sizex*u.w,f=l?Math.abs(l.l2p(e.sizey)-l.l2p(0)):e.sizey*u.h,h=c*d.x[e.xanchor].offset,p=f*d.y[e.yanchor].offset,g=d.x[e.xanchor].sizing+d.y[e.yanchor].sizing,v=(o?o.r2p(e.x)+o._offset:e.x*u.w+u.l)+h,m=(l?l.r2p(e.y)+l._offset:u.h-e.y*u.h+u.t)+p;switch(e.sizing){case&quot;fill&quot;:g+=&quot; slice&quot;;break;case&quot;stretch&quot;:g=&quot;none&quot;}r.attr({x:v,y:m,width:c,height:f,preserveAspectRatio:g,opacity:e.opacity});var y=(o?o._id:&quot;&quot;)+(l?l._id:&quot;&quot;);i.setClipUrl(r,y?&quot;clip&quot;+s._uid+y:null,t)}var v=s._imageLowerLayer.selectAll(&quot;image&quot;).data(c),m=s._imageUpperLayer.selectAll(&quot;image&quot;).data(l);v.enter().append(&quot;image&quot;),m.enter().append(&quot;image&quot;),v.exit().remove(),m.exit().remove(),v.each(function(t){p.bind(this)(t),g.bind(this)(t)}),m.each(function(t){p.bind(this)(t),g.bind(this)(t)});var y=Object.keys(s._plots);for(r=0;r&lt;y.length;r++){e=y[r];var b=s._plots[e];if(b.imagelayer){var x=b.imagelayer.selectAll(&quot;image&quot;).data(u[e]||[]);x.enter().append(&quot;image&quot;),x.exit().remove(),x.each(function(t){p.bind(this)(t),g.bind(this)(t)})}}}},{&quot;../../constants/xmlns_namespaces&quot;:476,&quot;../../plots/cartesian/axes&quot;:541,&quot;../drawing&quot;:397,d3:81}],424:[function(t,e,r){&quot;use strict&quot;;e.exports={moduleType:&quot;component&quot;,name:&quot;images&quot;,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),includeBasePlot:t(&quot;../../plots/cartesian/include_components&quot;)(&quot;images&quot;),draw:t(&quot;./draw&quot;),convertCoords:t(&quot;./convert_coords&quot;)}},{&quot;../../plots/cartesian/include_components&quot;:551,&quot;./attributes&quot;:420,&quot;./convert_coords&quot;:421,&quot;./defaults&quot;:422,&quot;./draw&quot;:423}],425:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../color/attributes&quot;);e.exports={bgcolor:{valType:&quot;color&quot;,editType:&quot;legend&quot;},bordercolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;legend&quot;},borderwidth:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;legend&quot;},font:n({editType:&quot;legend&quot;}),orientation:{valType:&quot;enumerated&quot;,values:[&quot;v&quot;,&quot;h&quot;],dflt:&quot;v&quot;,editType:&quot;legend&quot;},traceorder:{valType:&quot;flaglist&quot;,flags:[&quot;reversed&quot;,&quot;grouped&quot;],extras:[&quot;normal&quot;],editType:&quot;legend&quot;},tracegroupgap:{valType:&quot;number&quot;,min:0,dflt:10,editType:&quot;legend&quot;},x:{valType:&quot;number&quot;,min:-2,max:3,dflt:1.02,editType:&quot;legend&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;,editType:&quot;legend&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,dflt:1,editType:&quot;legend&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;auto&quot;,editType:&quot;legend&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},valign:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;middle&quot;,editType:&quot;legend&quot;},editType:&quot;legend&quot;}},{&quot;../../plots/font_attributes&quot;:567,&quot;../color/attributes&quot;:375}],426:[function(t,e,r){&quot;use strict&quot;;e.exports={scrollBarWidth:6,scrollBarMinHeight:20,scrollBarColor:&quot;#808BA4&quot;,scrollBarMargin:4,textOffsetX:40}},{}],427:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../plot_api/plot_template&quot;),o=t(&quot;./attributes&quot;),s=t(&quot;../../plots/layout_attributes&quot;),l=t(&quot;./helpers&quot;);e.exports=function(t,e,r){for(var u,c,f,h,d=t.legend||{},p=0,g=!1,v=&quot;normal&quot;,m=0;m&lt;r.length;m++){var y=r[m];y.visible&amp;&amp;((y.showlegend||y._dfltShowLegend)&amp;&amp;(p++,y.showlegend&amp;&amp;(g=!0,(n.traceIs(y,&quot;pie&quot;)||!0===y._input.showlegend)&amp;&amp;p++)),(n.traceIs(y,&quot;bar&quot;)&amp;&amp;&quot;stack&quot;===e.barmode||-1!==[&quot;tonextx&quot;,&quot;tonexty&quot;].indexOf(y.fill))&amp;&amp;(v=l.isGrouped({traceorder:v})?&quot;grouped+reversed&quot;:&quot;reversed&quot;),void 0!==y.legendgroup&amp;&amp;&quot;&quot;!==y.legendgroup&amp;&amp;(v=l.isReversed({traceorder:v})?&quot;reversed+grouped&quot;:&quot;grouped&quot;))}var b=i.coerce(t,e,s,&quot;showlegend&quot;,g&amp;&amp;p&gt;1);if(!1!==b||d.uirevision){var x=a.newContainer(e,&quot;legend&quot;);if(w(&quot;uirevision&quot;,e.uirevision),!1!==b){if(w(&quot;bgcolor&quot;,e.paper_bgcolor),w(&quot;bordercolor&quot;),w(&quot;borderwidth&quot;),i.coerceFont(w,&quot;font&quot;,e.font),w(&quot;orientation&quot;),&quot;h&quot;===x.orientation){var _=t.xaxis;n.getComponentMethod(&quot;rangeslider&quot;,&quot;isVisible&quot;)(_)?(u=0,f=&quot;left&quot;,c=1.1,h=&quot;bottom&quot;):(u=0,f=&quot;left&quot;,c=-.1,h=&quot;top&quot;)}w(&quot;traceorder&quot;,v),l.isGrouped(e.legend)&amp;&amp;w(&quot;tracegroupgap&quot;),w(&quot;x&quot;,u),w(&quot;xanchor&quot;,f),w(&quot;y&quot;,c),w(&quot;yanchor&quot;,h),w(&quot;valign&quot;),i.noneOrAll(d,x,[&quot;x&quot;,&quot;y&quot;])}}function w(t,e){return i.coerce(d,x,o,t,e)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/layout_attributes&quot;:582,&quot;../../registry&quot;:592,&quot;./attributes&quot;:425,&quot;./helpers&quot;:431}],428:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../registry&quot;),s=t(&quot;../../lib/events&quot;),l=t(&quot;../dragelement&quot;),u=t(&quot;../drawing&quot;),c=t(&quot;../color&quot;),f=t(&quot;../../lib/svg_text_utils&quot;),h=t(&quot;./handle_click&quot;),d=t(&quot;./constants&quot;),p=t(&quot;../../constants/interactions&quot;),g=t(&quot;../../constants/alignment&quot;),v=g.LINE_SPACING,m=g.FROM_TL,y=g.FROM_BR,b=t(&quot;./get_legend_data&quot;),x=t(&quot;./style&quot;),_=t(&quot;./helpers&quot;),w=p.DBLCLICKDELAY;function A(t,e,r,n,i){var a=r.data()[0][0].trace,o={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&amp;&amp;(o.group=a._group),&quot;pie&quot;===a.type&amp;&amp;(o.label=r.datum()[0].label),!1!==s.triggerHandler(t,&quot;plotly_legendclick&quot;,o))if(1===n)e._clickTimeout=setTimeout(function(){h(r,t,n)},w);else if(2===n){e._clickTimeout&amp;&amp;clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,&quot;plotly_legenddoubleclick&quot;,o)&amp;&amp;h(r,t,n)}}function M(t,e,r){var n=t.data()[0][0],a=e._fullLayout,s=n.trace,l=o.traceIs(s,&quot;pie&quot;),c=s.index,h=e._context.edits.legendText&amp;&amp;!l,p=l?n.label:s.name;a.meta&amp;&amp;(p=i.templateString(p,{meta:a.meta}));var g=i.ensureSingle(t,&quot;text&quot;,&quot;legendtext&quot;);function m(r){f.convertToTspans(r,e,function(){!function(t,e){var r=t.data()[0][0];if(!r.trace.showlegend)return void t.remove();var n,i,a=t.select(&quot;g[class*=math-group]&quot;),o=a.node(),s=e._fullLayout.legend.font.size*v;if(o){var l=u.bBox(o);n=l.height,i=l.width,u.setTranslate(a,0,n/4)}else{var c=t.select(&quot;.legendtext&quot;),h=f.lineCount(c),p=c.node();n=s*h,i=p?u.bBox(p).width:0;var g=s*(.3+(1-h)/2);f.positionText(c,d.textOffsetX,g)}r.lineHeight=s,r.height=Math.max(n,16)+3,r.width=i}(t,e)})}g.attr(&quot;text-anchor&quot;,&quot;start&quot;).classed(&quot;user-select-none&quot;,!0).call(u.font,a.legend.font).text(h?T(p,r):p),f.positionText(g,d.textOffsetX,0),h?g.call(f.makeEditable,{gd:e,text:p}).call(m).on(&quot;edit&quot;,function(t){this.text(T(t,r)).call(m);var a=n.trace._fullInput||{},s={};if(o.hasTransform(a,&quot;groupby&quot;)){var l=o.getTransformIndices(a,&quot;groupby&quot;),u=l[l.length-1],f=i.keyedContainer(a,&quot;transforms[&quot;+u+&quot;].styles&quot;,&quot;target&quot;,&quot;value.name&quot;);f.set(n.trace._group,t),s=f.constructUpdate()}else s.name=t;return o.call(&quot;_guiRestyle&quot;,e,s,c)}):m(g)}function T(t,e){var r=Math.max(4,e);if(t&amp;&amp;t.trim().length&gt;=r/2)return t;for(var n=r-(t=t||&quot;&quot;).length;n&gt;0;n--)t+=&quot; &quot;;return t}function k(t,e){var r,a=1,o=i.ensureSingle(t,&quot;rect&quot;,&quot;legendtoggle&quot;,function(t){t.style(&quot;cursor&quot;,&quot;pointer&quot;).attr(&quot;pointer-events&quot;,&quot;all&quot;).call(c.fill,&quot;rgba(0,0,0,0)&quot;)});o.on(&quot;mousedown&quot;,function(){(r=(new Date).getTime())-e._legendMouseDownTime&lt;w?a+=1:(a=1,e._legendMouseDownTime=r)}),o.on(&quot;mouseup&quot;,function(){if(!e._dragged&amp;&amp;!e._editing){var r=e._fullLayout.legend;(new 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e=t[0],r=n.select(this).select(&quot;.legendtoggle&quot;);u.setRect(r,0,-e.height/2,(P?0:o._width)+c,e.height)})}function L(t){var e=t._fullLayout.legend,r=&quot;left&quot;;i.isRightAnchor(e)?r=&quot;right&quot;:i.isCenterAnchor(e)&amp;&amp;(r=&quot;center&quot;);var n=&quot;top&quot;;i.isBottomAnchor(e)?n=&quot;bottom&quot;:i.isMiddleAnchor(e)&amp;&amp;(n=&quot;middle&quot;),a.autoMargin(t,&quot;legend&quot;,{x:e.x,y:e.y,l:e._width*m[r],r:e._width*y[r],b:e._height*y[n],t:e._height*m[n]})}e.exports=function(t){var e=t._fullLayout,r=&quot;legend&quot;+e._uid;if(e._infolayer&amp;&amp;t.calcdata){t._legendMouseDownTime||(t._legendMouseDownTime=0);var s=e.legend,f=e.showlegend&amp;&amp;b(t.calcdata,s),h=e.hiddenlabels||[];if(!e.showlegend||!f.length)return e._infolayer.selectAll(&quot;.legend&quot;).remove(),e._topdefs.select(&quot;#&quot;+r).remove(),void a.autoMargin(t,&quot;legend&quot;);for(var p=0,g=0;g&lt;f.length;g++)for(var v=0;v&lt;f[g].length;v++){var 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N=I.selectAll(&quot;g.traces&quot;).data(i.identity);N.enter().append(&quot;g&quot;).attr(&quot;class&quot;,&quot;traces&quot;),N.exit().remove(),N.style(&quot;opacity&quot;,function(t){var e=t[0].trace;return o.traceIs(e,&quot;pie&quot;)?-1!==h.indexOf(t[0].label)?.5:1:&quot;legendonly&quot;===e.visible?.5:1}).each(function(){n.select(this).call(M,t,p)}).call(x,t).each(function(){n.select(this).call(k,t)}),i.syncOrAsync([a.previousPromises,function(){S&amp;&amp;(E(t,I,N),L(t));var c=e.width,f=e.height;E(t,I,N),s._height&gt;f?function(t){var e=t._fullLayout.legend,r=&quot;left&quot;;i.isRightAnchor(e)?r=&quot;right&quot;:i.isCenterAnchor(e)&amp;&amp;(r=&quot;center&quot;);a.autoMargin(t,&quot;legend&quot;,{x:e.x,y:.5,l:e._width*m[r],r:e._width*y[r],b:0,t:0})}(t):L(t);var h=e._size,p=h.l+h.w*s.x,g=h.t+h.h*(1-s.y);i.isRightAnchor(s)?p-=s._width:i.isCenterAnchor(s)&amp;&amp;(p-=s._width/2),i.isBottomAnchor(s)?g-=s._height:i.isMiddleAnchor(s)&amp;&amp;(g-=s._height/2);var v=s._width,b=h.w;v&gt;b?(p=h.l,v=b):(p+v&gt;c&amp;&amp;(p=c-v),p&lt;0&amp;&amp;(p=0),v=Math.min(c-p,s._width));var x,_,w,M,T=s._height,k=h.h;if(T&gt;k?(g=h.t,T=k):(g+T&gt;f&amp;&amp;(g=f-T),g&lt;0&amp;&amp;(g=0),T=Math.min(f-g,s._height)),u.setTranslate(C,p,g),z.on(&quot;.drag&quot;,null),C.on(&quot;wheel&quot;,null),s._height&lt;=T||t._context.staticPlot)R.attr({width:v-s.borderwidth,height:T-s.borderwidth,x:s.borderwidth/2,y:s.borderwidth/2}),u.setTranslate(P,0,0),O.select(&quot;rect&quot;).attr({width:v-2*s.borderwidth,height:T-2*s.borderwidth,x:s.borderwidth,y:s.borderwidth}),u.setClipUrl(P,r,t),u.setRect(z,0,0,0,0),delete s._scrollY;else{var 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T;switch(p.visible){case!0:T=&quot;legendonly&quot;;break;case!1:T=!1;break;case&quot;legendonly&quot;:T=!0}if(A)for(o=0;o&lt;d.length;o++)!1!==d[o].visible&amp;&amp;d[o].legendgroup===g&amp;&amp;R(d[o],T);else R(p,T)}else if(2===r){var k,E,L=!0;for(o=0;o&lt;d.length;o++)if(!(d[o]===p)&amp;&amp;!(k=A&amp;&amp;d[o].legendgroup===g)&amp;&amp;!0===d[o].visible&amp;&amp;!i.traceIs(d[o],&quot;notLegendIsolatable&quot;)){L=!1;break}for(o=0;o&lt;d.length;o++)if(!1!==d[o].visible&amp;&amp;!i.traceIs(d[o],&quot;notLegendIsolatable&quot;))switch(p.visible){case&quot;legendonly&quot;:R(d[o],!0);break;case!0:E=!!L||&quot;legendonly&quot;,k=d[o]===p||A&amp;&amp;d[o].legendgroup===g,R(d[o],!!k||E)}}for(o=0;o&lt;y.length;o++)if(l=y[o]){var S=l.constructUpdate(),C=Object.keys(S);for(s=0;s&lt;C.length;s++)u=C[s],(v[u]=v[u]||[])[b[o]]=S[u]}for(c=Object.keys(v),o=0;o&lt;c.length;o++)for(u=c[o],s=0;s&lt;m.length;s++)v[u].hasOwnProperty(s)||(v[u][s]=void 0);i.call(&quot;_guiRestyle&quot;,e,v,m)}}function 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e=t[0].trace,r=e.marker||{},a=r.line||{},o=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendbar&quot;).data(i.traceIs(e,&quot;bar&quot;)?[t]:[]);o.enter().append(&quot;path&quot;).classed(&quot;legendbar&quot;,!0).attr(&quot;d&quot;,&quot;M6,6H-6V-6H6Z&quot;).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),o.exit().remove(),o.each(function(t){var e=n.select(this),i=t[0],o=(i.mlw+1||a.width+1)-1;e.style(&quot;stroke-width&quot;,o+&quot;px&quot;).call(s.fill,i.mc||r.color),o&amp;&amp;e.call(s.stroke,i.mlc||a.color)})}).each(function(t){var e=t[0].trace,r=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendbox&quot;).data(i.traceIs(e,&quot;box-violin&quot;)&amp;&amp;e.visible?[t]:[]);r.enter().append(&quot;path&quot;).classed(&quot;legendbox&quot;,!0).attr(&quot;d&quot;,&quot;M6,6H-6V-6H6Z&quot;).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),r.exit().remove(),r.each(function(){var 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h=l.hasMarkers(r)||l.hasText(r),d=i||c,p=a||u,g=h||!d?&quot;M5,0&quot;:p?&quot;M5,-2&quot;:&quot;M5,-3&quot;,v=n.select(this),m=v.select(&quot;.legendfill&quot;).selectAll(&quot;path&quot;).data(i||c?[t]:[]);m.enter().append(&quot;path&quot;).classed(&quot;js-fill&quot;,!0),m.exit().remove(),m.attr(&quot;d&quot;,g+&quot;h30v6h-30z&quot;).call(i?o.fillGroupStyle:function(t){if(t.size()){var n=&quot;legendfill-&quot;+r.uid;o.gradient(t,e,n,&quot;horizontalreversed&quot;,r.colorscale,&quot;fill&quot;)}});var y=v.select(&quot;.legendlines&quot;).selectAll(&quot;path&quot;).data(a||u?[t]:[]);y.enter().append(&quot;path&quot;).classed(&quot;js-line&quot;,!0),y.exit().remove(),y.attr(&quot;d&quot;,g+(u?&quot;l30,0.0001&quot;:&quot;h30&quot;)).call(a?o.lineGroupStyle:function(t){if(t.size()){var n=&quot;legendline-&quot;+r.uid;o.lineGroupStyle(t),o.gradient(t,e,n,&quot;horizontalreversed&quot;,r.colorscale,&quot;stroke&quot;)}})}).each(function(t){var 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y=n.select(this).select(&quot;g.legendpoints&quot;),b=y.selectAll(&quot;path.scatterpts&quot;).data(c?r:[]);b.enter().insert(&quot;path&quot;,&quot;:first-child&quot;).classed(&quot;scatterpts&quot;,!0).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),b.exit().remove(),b.call(o.pointStyle,i,e),c&amp;&amp;(r[0].mrc=3);var x=y.selectAll(&quot;g.pointtext&quot;).data(f?r:[]);x.enter().append(&quot;g&quot;).classed(&quot;pointtext&quot;,!0).append(&quot;text&quot;).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),x.exit().remove(),x.selectAll(&quot;text&quot;).call(o.textPointStyle,i,e)}).each(function(t){var e=t[0].trace,r=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendcandle&quot;).data(&quot;candlestick&quot;===e.type&amp;&amp;e.visible?[t,t]:[]);r.enter().append(&quot;path&quot;).classed(&quot;legendcandle&quot;,!0).attr(&quot;d&quot;,function(t,e){return e?&quot;M-15,0H-8M-8,6V-6H8Z&quot;:&quot;M15,0H8M8,-6V6H-8Z&quot;}).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;).style(&quot;stroke-miterlimit&quot;,1),r.exit().remove(),r.each(function(t,r){var i=e[r?&quot;increasing&quot;:&quot;decreasing&quot;],a=i.line.width,o=n.select(this);o.style(&quot;stroke-width&quot;,a+&quot;px&quot;).call(s.fill,i.fillcolor),a&amp;&amp;s.stroke(o,i.line.color)})}).each(function(t){var e=t[0].trace,r=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendohlc&quot;).data(&quot;ohlc&quot;===e.type&amp;&amp;e.visible?[t,t]:[]);r.enter().append(&quot;path&quot;).classed(&quot;legendohlc&quot;,!0).attr(&quot;d&quot;,function(t,e){return e?&quot;M-15,0H0M-8,-6V0&quot;:&quot;M15,0H0M8,6V0&quot;}).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;).style(&quot;stroke-miterlimit&quot;,1),r.exit().remove(),r.each(function(t,r){var 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d,p=&quot;in&quot;===l?.5:2,g=(1+p)/2,v=(1-p)/2;for(i=0;i&lt;f.length;i++)if(!(r=f[i]).fixedrange)if(d=r._name,&quot;auto&quot;===l)c[d+&quot;.autorange&quot;]=!0;else if(&quot;reset&quot;===l){if(void 0===r._rangeInitial)c[d+&quot;.autorange&quot;]=!0;else{var m=r._rangeInitial.slice();c[d+&quot;.range[0]&quot;]=m[0],c[d+&quot;.range[1]&quot;]=m[1]}void 0!==r._showSpikeInitial&amp;&amp;(c[d+&quot;.showspikes&quot;]=r._showSpikeInitial,&quot;on&quot;!==h||r._showSpikeInitial||(h=&quot;off&quot;))}else{var y=[r.r2l(r.range[0]),r.r2l(r.range[1])],b=[g*y[0]+v*y[1],g*y[1]+v*y[0]];c[d+&quot;.range[0]&quot;]=r.l2r(b[0]),c[d+&quot;.range[1]&quot;]=r.l2r(b[1])}u._cartesianSpikesEnabled=h}else{if(&quot;hovermode&quot;!==s||&quot;x&quot;!==l&amp;&amp;&quot;y&quot;!==l){if(&quot;hovermode&quot;===s&amp;&amp;&quot;closest&quot;===l){for(i=0;i&lt;f.length;i++)r=f[i],&quot;on&quot;!==h||r.showspikes||(h=&quot;off&quot;);u._cartesianSpikesEnabled=h}}else 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e=g(t);n.call(&quot;_guiRelayout&quot;,t,&quot;hovermode&quot;,e)}function m(t,e){for(var r=t._fullLayout,i=r._subplots[e],a={},o=0;o&lt;i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c&lt;u.length;c++){var f=u[c];a[s+&quot;.&quot;+f]=l[f]}n.call(&quot;_guiRelayout&quot;,t,a)}u.toImage={name:&quot;toImage&quot;,title:function(t){var e=(t._context.toImageButtonOptions||{}).format||&quot;png&quot;;return l(t,&quot;png&quot;===e?&quot;Download plot as a png&quot;:&quot;Download plot&quot;)},icon:s.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||&quot;png&quot;};o.notifier(l(t,&quot;Taking snapshot - this may take a few seconds&quot;),&quot;long&quot;),&quot;svg&quot;!==r.format&amp;&amp;o.isIE()&amp;&amp;(o.notifier(l(t,&quot;IE only supports svg.  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l(t,&quot;Box Select&quot;)},attr:&quot;dragmode&quot;,val:&quot;select&quot;,icon:s.selectbox,click:c},u.lasso2d={name:&quot;lasso2d&quot;,title:function(t){return l(t,&quot;Lasso Select&quot;)},attr:&quot;dragmode&quot;,val:&quot;lasso&quot;,icon:s.lasso,click:c},u.zoomIn2d={name:&quot;zoomIn2d&quot;,title:function(t){return l(t,&quot;Zoom in&quot;)},attr:&quot;zoom&quot;,val:&quot;in&quot;,icon:s.zoom_plus,click:c},u.zoomOut2d={name:&quot;zoomOut2d&quot;,title:function(t){return l(t,&quot;Zoom out&quot;)},attr:&quot;zoom&quot;,val:&quot;out&quot;,icon:s.zoom_minus,click:c},u.autoScale2d={name:&quot;autoScale2d&quot;,title:function(t){return l(t,&quot;Autoscale&quot;)},attr:&quot;zoom&quot;,val:&quot;auto&quot;,icon:s.autoscale,click:c},u.resetScale2d={name:&quot;resetScale2d&quot;,title:function(t){return l(t,&quot;Reset axes&quot;)},attr:&quot;zoom&quot;,val:&quot;reset&quot;,icon:s.home,click:c},u.hoverClosestCartesian={name:&quot;hoverClosestCartesian&quot;,title:function(t){return l(t,&quot;Show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:&quot;closest&quot;,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:c},u.hoverCompareCartesian={name:&quot;hoverCompareCartesian&quot;,title:function(t){return l(t,&quot;Compare data on hover&quot;)},attr:&quot;hovermode&quot;,val:function(t){return t._fullLayout._isHoriz?&quot;y&quot;:&quot;x&quot;},icon:s.tooltip_compare,gravity:&quot;ne&quot;,click:c},u.zoom3d={name:&quot;zoom3d&quot;,title:function(t){return l(t,&quot;Zoom&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;zoom&quot;,icon:s.zoombox,click:f},u.pan3d={name:&quot;pan3d&quot;,title:function(t){return l(t,&quot;Pan&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;pan&quot;,icon:s.pan,click:f},u.orbitRotation={name:&quot;orbitRotation&quot;,title:function(t){return l(t,&quot;Orbital rotation&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;orbit&quot;,icon:s[&quot;3d_rotate&quot;],click:f},u.tableRotation={name:&quot;tableRotation&quot;,title:function(t){return l(t,&quot;Turntable rotation&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;turntable&quot;,icon:s[&quot;z-axis&quot;],click:f},u.resetCameraDefault3d={name:&quot;resetCameraDefault3d&quot;,title:function(t){return l(t,&quot;Reset camera to default&quot;)},attr:&quot;resetDefault&quot;,icon:s.home,click:h},u.resetCameraLastSave3d={name:&quot;resetCameraLastSave3d&quot;,title:function(t){return l(t,&quot;Reset camera to last save&quot;)},attr:&quot;resetLastSave&quot;,icon:s.movie,click:h},u.hoverClosest3d={name:&quot;hoverClosest3d&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:function(t,e){var r=d(t,e);n.call(&quot;_guiRelayout&quot;,t,r)}},u.zoomInGeo={name:&quot;zoomInGeo&quot;,title:function(t){return l(t,&quot;Zoom in&quot;)},attr:&quot;zoom&quot;,val:&quot;in&quot;,icon:s.zoom_plus,click:p},u.zoomOutGeo={name:&quot;zoomOutGeo&quot;,title:function(t){return l(t,&quot;Zoom out&quot;)},attr:&quot;zoom&quot;,val:&quot;out&quot;,icon:s.zoom_minus,click:p},u.resetGeo={name:&quot;resetGeo&quot;,title:function(t){return l(t,&quot;Reset&quot;)},attr:&quot;reset&quot;,val:null,icon:s.autoscale,click:p},u.hoverClosestGeo={name:&quot;hoverClosestGeo&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:v},u.hoverClosestGl2d={name:&quot;hoverClosestGl2d&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:v},u.hoverClosestPie={name:&quot;hoverClosestPie&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:&quot;closest&quot;,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:v},u.toggleHover={name:&quot;toggleHover&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(&quot;_guiRelayout&quot;,t,r)}},u.resetViews={name:&quot;resetViews&quot;,title:function(t){return l(t,&quot;Reset views&quot;)},icon:s.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(&quot;data-attr&quot;,&quot;zoom&quot;),r.setAttribute(&quot;data-val&quot;,&quot;reset&quot;),c(t,e),r.setAttribute(&quot;data-attr&quot;,&quot;resetLastSave&quot;),h(t,e),m(t,&quot;geo&quot;),m(t,&quot;mapbox&quot;)}},u.toggleSpikelines={name:&quot;toggleSpikelines&quot;,title:function(t){return l(t,&quot;Toggle Spike Lines&quot;)},icon:s.spikeline,attr:&quot;_cartesianSpikesEnabled&quot;,val:&quot;on&quot;,click:function(t){var e=t._fullLayout;e._cartesianSpikesEnabled=&quot;on&quot;===e._cartesianSpikesEnabled?&quot;off&quot;:&quot;on&quot;;var r=function(t){for(var e,r,n=t._fullLayout,i=a.list(t,null,!0),o={},s=0;s&lt;i.length;s++)e=i[s],r=e._name,o[r+&quot;.showspikes&quot;]=&quot;on&quot;===n._cartesianSpikesEnabled||e._showSpikeInitial;return o}(t);n.call(&quot;_guiRelayout&quot;,t,r)}},u.resetViewMapbox={name:&quot;resetViewMapbox&quot;,title:function(t){return l(t,&quot;Reset view&quot;)},attr:&quot;reset&quot;,icon:s.home,click:function(t){m(t,&quot;mapbox&quot;)}}},{&quot;../../../build/ploticon&quot;:2,&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592}],435:[function(t,e,r){&quot;use strict&quot;;r.manage=t(&quot;./manage&quot;)},{&quot;./manage&quot;:436}],436:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/cartesian/axis_ids&quot;),i=t(&quot;../../traces/scatter/subtypes&quot;),a=t(&quot;../../registry&quot;),o=t(&quot;./modebar&quot;),s=t(&quot;./buttons&quot;);e.exports=function(t){var e=t._fullLayout,r=t._context,l=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([&quot;*modeBarButtonsToRemove* configuration options&quot;,&quot;must be an array.&quot;].join(&quot; &quot;));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([&quot;*modeBarButtonsToAdd* configuration 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_=[&quot;toImage&quot;];o&amp;&amp;_.push(&quot;sendDataToCloud&quot;);x(_);var w=[],A=[],M=[],T=[];(c||p||d||g)+h+f+v+m&gt;1?(A=[&quot;toggleHover&quot;],M=[&quot;resetViews&quot;]):h?(w=[&quot;zoomInGeo&quot;,&quot;zoomOutGeo&quot;],A=[&quot;hoverClosestGeo&quot;],M=[&quot;resetGeo&quot;]):f?(A=[&quot;hoverClosest3d&quot;],M=[&quot;resetCameraDefault3d&quot;,&quot;resetCameraLastSave3d&quot;]):v?(A=[&quot;toggleHover&quot;],M=[&quot;resetViewMapbox&quot;]):A=p?[&quot;hoverClosestGl2d&quot;]:d?[&quot;hoverClosestPie&quot;]:[&quot;toggleHover&quot;];c&amp;&amp;(A=[&quot;toggleSpikelines&quot;,&quot;hoverClosestCartesian&quot;,&quot;hoverCompareCartesian&quot;]);!c&amp;&amp;!p||y||(w=[&quot;zoomIn2d&quot;,&quot;zoomOut2d&quot;,&quot;autoScale2d&quot;],&quot;resetViews&quot;!==M[0]&amp;&amp;(M=[&quot;resetScale2d&quot;]));f?T=[&quot;zoom3d&quot;,&quot;pan3d&quot;,&quot;orbitRotation&quot;,&quot;tableRotation&quot;]:(c||p)&amp;&amp;!y||g?T=[&quot;zoom2d&quot;,&quot;pan2d&quot;]:v||h?T=[&quot;pan2d&quot;]:m&amp;&amp;(T=[&quot;zoom2d&quot;]);(function(t){for(var e=!1,r=0;r&lt;t.length&amp;&amp;!e;r++){var n=t[r];n._module&amp;&amp;n._module.selectPoints&amp;&amp;(a.traceIs(n,&quot;scatter-like&quot;)?(i.hasMarkers(n)||i.hasText(n))&amp;&amp;(e=!0):a.traceIs(n,&quot;box-violin&quot;)&amp;&amp;&quot;all&quot;!==n.boxpoints&amp;&amp;&quot;all&quot;!==n.points||(e=!0))}return e})(u)&amp;&amp;T.push(&quot;select2d&quot;,&quot;lasso2d&quot;);return x(T),x(w.concat(M)),x(A),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r&lt;e.length;r++)t.push(e[r]);else t.push(e);return t}(b,r)}(t,r.modeBarButtonsToRemove,r.modeBarButtonsToAdd,r.showSendToCloud),l?l.update(t,u):e._modeBar=o(t,u)}else l&amp;&amp;(l.destroy(),delete e._modeBar)}},{&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;../../registry&quot;:592,&quot;../../traces/scatter/subtypes&quot;:640,&quot;./buttons&quot;:434,&quot;./modebar&quot;:437}],437:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;../../lib&quot;),o=t(&quot;../../../build/ploticon&quot;),s=new DOMParser;function l(t){this.container=t.container,this.element=document.createElement(&quot;div&quot;),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=l.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=&quot;modebar-&quot;+n._uid;this.element.setAttribute(&quot;id&quot;,i),this._uid=i,this.element.className=&quot;modebar&quot;,&quot;hover&quot;===r.displayModeBar&amp;&amp;(this.element.className+=&quot; modebar--hover ease-bg&quot;),&quot;v&quot;===n.modebar.orientation&amp;&amp;(this.element.className+=&quot; vertical&quot;,e=e.reverse());var o=n.modebar,s=&quot;hover&quot;===r.displayModeBar?&quot;.js-plotly-plot .plotly:hover &quot;:&quot;&quot;;a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+&quot;#&quot;+i+&quot; .modebar-group&quot;,&quot;background-color: &quot;+o.bgcolor),a.addRelatedStyleRule(i,&quot;#&quot;+i+&quot; .modebar-btn .icon path&quot;,&quot;fill: &quot;+o.color),a.addRelatedStyleRule(i,&quot;#&quot;+i+&quot; .modebar-btn:hover .icon path&quot;,&quot;fill: &quot;+o.activecolor),a.addRelatedStyleRule(i,&quot;#&quot;+i+&quot; .modebar-btn.active .icon path&quot;,&quot;fill: &quot;+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&amp;&amp;(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&amp;&amp;(f.className=f.className+&quot; watermark&quot;),&quot;v&quot;===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach(function(t){var r=e.createGroup();t.forEach(function(t){var n=t.name;if(!n)throw new Error(&quot;must provide button &#x27;name&#x27; in button config&quot;);if(-1!==e.buttonsNames.indexOf(n))throw new Error(&quot;button name &#x27;&quot;+n+&quot;&#x27; is taken&quot;);e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)}),e.element.appendChild(r)})},u.createGroup=function(){var t=document.createElement(&quot;div&quot;);return t.className=&quot;modebar-group&quot;,t},u.createButton=function(t){var e=this,r=document.createElement(&quot;a&quot;);r.setAttribute(&quot;rel&quot;,&quot;tooltip&quot;),r.className=&quot;modebar-btn&quot;;var i=t.title;void 0===i?i=t.name:&quot;function&quot;==typeof i&amp;&amp;(i=i(this.graphInfo)),(i||0===i)&amp;&amp;r.setAttribute(&quot;data-title&quot;,i),void 0!==t.attr&amp;&amp;r.setAttribute(&quot;data-attr&quot;,t.attr);var a=t.val;if(void 0!==a&amp;&amp;(&quot;function&quot;==typeof a&amp;&amp;(a=a(this.graphInfo)),r.setAttribute(&quot;data-val&quot;,a)),&quot;function&quot;!=typeof t.click)throw new Error(&quot;must provide button &#x27;click&#x27; function in button config&quot;);r.addEventListener(&quot;click&quot;,function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)}),r.setAttribute(&quot;data-toggle&quot;,t.toggle||!1),t.toggle&amp;&amp;n.select(r).classed(&quot;active&quot;,!0);var s=t.icon;return&quot;function&quot;==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(&quot;data-gravity&quot;,t.gravity||&quot;n&quot;),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=&quot;http://www.w3.org/2000/svg&quot;;if(t.path){(e=document.createElementNS(n,&quot;svg&quot;)).setAttribute(&quot;viewBox&quot;,[0,0,t.width,r].join(&quot; &quot;)),e.setAttribute(&quot;class&quot;,&quot;icon&quot;);var a=document.createElementNS(n,&quot;path&quot;);a.setAttribute(&quot;d&quot;,t.path),t.transform?a.setAttribute(&quot;transform&quot;,t.transform):void 0!==t.ascent&amp;&amp;a.setAttribute(&quot;transform&quot;,&quot;matrix(1 0 0 -1 0 &quot;+t.ascent+&quot;)&quot;),e.appendChild(a)}t.svg&amp;&amp;(e=s.parseFromString(t.svg,&quot;application/xml&quot;).childNodes[0]);return e.setAttribute(&quot;height&quot;,&quot;1em&quot;),e.setAttribute(&quot;width&quot;,&quot;1em&quot;),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(&quot;data-attr&quot;):null;this.buttonElements.forEach(function(t){var i=t.getAttribute(&quot;data-val&quot;)||!0,o=t.getAttribute(&quot;data-attr&quot;),s=&quot;true&quot;===t.getAttribute(&quot;data-toggle&quot;),l=n.select(t);if(s)o===r&amp;&amp;l.classed(&quot;active&quot;,!l.classed(&quot;active&quot;));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(&quot;active&quot;,u===i)}})},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r&lt;t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n&lt;t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},u.getLogo=function(){var t=this.createGroup(),e=document.createElement(&quot;a&quot;);return e.href=&quot;https://plot.ly/&quot;,e.target=&quot;_blank&quot;,e.setAttribute(&quot;data-title&quot;,a._(this.graphInfo,&quot;Produced with Plotly&quot;)),e.className=&quot;modebar-btn plotlyjsicon modebar-btn--logo&quot;,e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(&quot;.modebar&quot;)),a.deleteRelatedStyleRule(this._uid)},e.exports=function(t,e){var r=t._fullLayout,i=new l({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&amp;&amp;n.select(i.element).append(&quot;span&quot;).classed(&quot;badge-private float--left&quot;,!0).text(&quot;PRIVATE&quot;),i}},{&quot;../../../build/ploticon&quot;:2,&quot;../../lib&quot;:495,d3:81,&quot;fast-isnumeric&quot;:90}],438:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../color/attributes&quot;),a=(0,t(&quot;../../plot_api/plot_template&quot;).templatedArray)(&quot;button&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},step:{valType:&quot;enumerated&quot;,values:[&quot;month&quot;,&quot;year&quot;,&quot;day&quot;,&quot;hour&quot;,&quot;minute&quot;,&quot;second&quot;,&quot;all&quot;],dflt:&quot;month&quot;,editType:&quot;plot&quot;},stepmode:{valType:&quot;enumerated&quot;,values:[&quot;backward&quot;,&quot;todate&quot;],dflt:&quot;backward&quot;,editType:&quot;plot&quot;},count:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;plot&quot;},label:{valType:&quot;string&quot;,editType:&quot;plot&quot;},editType:&quot;plot&quot;});e.exports={visible:{valType:&quot;boolean&quot;,editType:&quot;plot&quot;},buttons:a,x:{valType:&quot;number&quot;,min:-2,max:3,editType:&quot;plot&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;,editType:&quot;plot&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,editType:&quot;plot&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;bottom&quot;,editType:&quot;plot&quot;},font:n({editType:&quot;plot&quot;}),bgcolor:{valType:&quot;color&quot;,dflt:i.lightLine,editType:&quot;plot&quot;},activecolor:{valType:&quot;color&quot;,editType:&quot;plot&quot;},bordercolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;plot&quot;},borderwidth:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;plot&quot;},editType:&quot;plot&quot;}},{&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/font_attributes&quot;:567,&quot;../color/attributes&quot;:375}],439:[function(t,e,r){&quot;use strict&quot;;e.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},{}],440:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../color&quot;),a=t(&quot;../../plot_api/plot_template&quot;),o=t(&quot;../../plots/array_container_defaults&quot;),s=t(&quot;./attributes&quot;),l=t(&quot;./constants&quot;);function u(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o(&quot;visible&quot;)){var l=o(&quot;step&quot;);&quot;all&quot;!==l&amp;&amp;(!a||&quot;gregorian&quot;===a||&quot;month&quot;!==l&amp;&amp;&quot;year&quot;!==l?o(&quot;stepmode&quot;):e.stepmode=&quot;backward&quot;,o(&quot;count&quot;)),o(&quot;label&quot;)}}e.exports=function(t,e,r,c,f){var h=t.rangeselector||{},d=a.newContainer(e,&quot;rangeselector&quot;);function p(t,e){return n.coerce(h,d,s,t,e)}if(p(&quot;visible&quot;,o(h,d,{name:&quot;buttons&quot;,handleItemDefaults:u,calendar:f}).length&gt;0)){var g=function(t,e,r){for(var n=r.filter(function(r){return e[r].anchor===t._id}),i=0,a=0;a&lt;n.length;a++){var o=e[n[a]].domain;o&amp;&amp;(i=Math.max(o[1],i))}return[t.domain[0],i+l.yPad]}(e,r,c);p(&quot;x&quot;,g[0]),p(&quot;y&quot;,g[1]),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),p(&quot;xanchor&quot;),p(&quot;yanchor&quot;),n.coerceFont(p,&quot;font&quot;,r.font);var v=p(&quot;bgcolor&quot;);p(&quot;activecolor&quot;,i.contrast(v,l.lightAmount,l.darkAmount)),p(&quot;bordercolor&quot;),p(&quot;borderwidth&quot;)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/array_container_defaults&quot;:537,&quot;../color&quot;:376,&quot;./attributes&quot;:438,&quot;./constants&quot;:439}],441:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../color&quot;),s=t(&quot;../drawing&quot;),l=t(&quot;../../lib&quot;),u=t(&quot;../../lib/svg_text_utils&quot;),c=t(&quot;../../plots/cartesian/axis_ids&quot;),f=t(&quot;../../constants/alignment&quot;),h=f.LINE_SPACING,d=f.FROM_TL,p=f.FROM_BR,g=t(&quot;./constants&quot;),v=t(&quot;./get_update_object&quot;);function m(t){return t._id}function y(t,e,r){var n=l.ensureSingle(t,&quot;rect&quot;,&quot;selector-rect&quot;,function(t){t.attr(&quot;shape-rendering&quot;,&quot;crispEdges&quot;)});n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(&quot;stroke-width&quot;,e.borderwidth+&quot;px&quot;)}function b(t,e,r,n){l.ensureSingle(t,&quot;text&quot;,&quot;selector-text&quot;,function(t){t.classed(&quot;user-select-none&quot;,!0).attr(&quot;text-anchor&quot;,&quot;middle&quot;)}).call(s.font,e.font).text(function(t,e){if(t.label)return e?l.templateString(t.label,{meta:e}):t.label;return&quot;all&quot;===t.step?&quot;all&quot;:t.count+t.step.charAt(0)}(r,n._fullLayout.meta)).call(function(t){u.convertToTspans(t,n)})}e.exports=function(t){var e=t._fullLayout._infolayer.selectAll(&quot;.rangeselector&quot;).data(function(t){for(var e=c.list(t,&quot;x&quot;,!0),r=[],n=0;n&lt;e.length;n++){var i=e[n];i.rangeselector&amp;&amp;i.rangeselector.visible&amp;&amp;r.push(i)}return r}(t),m);e.enter().append(&quot;g&quot;).classed(&quot;rangeselector&quot;,!0),e.exit().remove(),e.style({cursor:&quot;pointer&quot;,&quot;pointer-events&quot;:&quot;all&quot;}),e.each(function(e){var r=n.select(this),o=e,c=o.rangeselector,f=r.selectAll(&quot;g.button&quot;).data(l.filterVisible(c.buttons));f.enter().append(&quot;g&quot;).classed(&quot;button&quot;,!0),f.exit().remove(),f.each(function(e){var r=n.select(this),a=v(o,e);e._isActive=function(t,e,r){if(&quot;all&quot;===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&amp;&amp;t.range[1]===r[n[1]]}(o,e,a),r.call(y,c,e),r.call(b,c,e,t),r.on(&quot;click&quot;,function(){t._dragged||i.call(&quot;_guiRelayout&quot;,t,a)}),r.on(&quot;mouseover&quot;,function(){e._isHovered=!0,r.call(y,c,e)}),r.on(&quot;mouseout&quot;,function(){e._isHovered=!1,r.call(y,c,e)})}),function(t,e,r,i,o){var c=0,f=0,v=r.borderwidth;e.each(function(){var t=n.select(this),e=t.select(&quot;.selector-text&quot;),i=r.font.size*h,a=Math.max(i*u.lineCount(e),16)+3;f=Math.max(f,a)}),e.each(function(){var t=n.select(this),e=t.select(&quot;.selector-rect&quot;),i=t.select(&quot;.selector-text&quot;),a=i.node()&amp;&amp;s.bBox(i.node()).width,o=r.font.size*h,l=u.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(&quot;transform&quot;,&quot;translate(&quot;+(v+c)+&quot;,&quot;+v+&quot;)&quot;),e.attr({x:0,y:0,width:d,height:f}),u.positionText(i,d/2,f/2-(l-1)*o/2+3),c+=d+5});var m=t._fullLayout._size,y=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),x=&quot;left&quot;;l.isRightAnchor(r)&amp;&amp;(y-=c,x=&quot;right&quot;);l.isCenterAnchor(r)&amp;&amp;(y-=c/2,x=&quot;center&quot;);var _=&quot;top&quot;;l.isBottomAnchor(r)&amp;&amp;(b-=f,_=&quot;bottom&quot;);l.isMiddleAnchor(r)&amp;&amp;(b-=f/2,_=&quot;middle&quot;);c=Math.ceil(c),f=Math.ceil(f),y=Math.round(y),b=Math.round(b),a.autoMargin(t,i+&quot;-range-selector&quot;,{x:r.x,y:r.y,l:c*d[x],r:c*p[x],b:f*p[_],t:f*d[_]}),o.attr(&quot;transform&quot;,&quot;translate(&quot;+y+&quot;,&quot;+b+&quot;)&quot;)}(t,f,c,o._name,r)})}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../drawing&quot;:397,&quot;./constants&quot;:439,&quot;./get_update_object&quot;:442,d3:81}],442:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;);e.exports=function(t,e){var r=t._name,i={};if(&quot;all&quot;===e.step)i[r+&quot;.autorange&quot;]=!0;else{var a=function(t,e){var r,i=t.range,a=new 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n=t(&quot;../color/attributes&quot;);e.exports={bgcolor:{valType:&quot;color&quot;,dflt:n.background,editType:&quot;plot&quot;},bordercolor:{valType:&quot;color&quot;,dflt:n.defaultLine,editType:&quot;plot&quot;},borderwidth:{valType:&quot;integer&quot;,dflt:0,min:0,editType:&quot;plot&quot;},autorange:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc&quot;,impliedEdits:{&quot;range[0]&quot;:void 0,&quot;range[1]&quot;:void 0}},range:{valType:&quot;info_array&quot;,items:[{valType:&quot;any&quot;,editType:&quot;calc&quot;,impliedEdits:{&quot;^autorange&quot;:!1}},{valType:&quot;any&quot;,editType:&quot;calc&quot;,impliedEdits:{&quot;^autorange&quot;:!1}}],editType:&quot;calc&quot;,impliedEdits:{autorange:!1}},thickness:{valType:&quot;number&quot;,dflt:.15,min:0,max:1,editType:&quot;plot&quot;},visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc&quot;},editType:&quot;calc&quot;}},{&quot;../color/attributes&quot;:375}],445:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/cartesian/axis_ids&quot;).list,i=t(&quot;../../plots/cartesian/autorange&quot;).getAutoRange,a=t(&quot;./constants&quot;);e.exports=function(t){for(var e=n(t,&quot;x&quot;,!0),r=0;r&lt;e.length;r++){var o=e[r],s=o[a.name];s&amp;&amp;s.visible&amp;&amp;s.autorange&amp;&amp;(s._input.autorange=!0,s._input.range=s.range=i(t,o))}}},{&quot;../../plots/cartesian/autorange&quot;:540,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;./constants&quot;:446}],446:[function(t,e,r){&quot;use 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strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plot_api/plot_template&quot;),a=t(&quot;../../plots/cartesian/axis_ids&quot;),o=t(&quot;./attributes&quot;),s=t(&quot;./oppaxis_attributes&quot;);e.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,d=i.newContainer(u,&quot;rangeslider&quot;);if(_(&quot;visible&quot;)){_(&quot;bgcolor&quot;,e.plot_bgcolor),_(&quot;bordercolor&quot;),_(&quot;borderwidth&quot;),_(&quot;thickness&quot;),_(&quot;autorange&quot;,!u.isValidRange(h.range)),_(&quot;range&quot;);var p=e._subplots;if(p)for(var g=p.cartesian.filter(function(t){return t.substr(0,t.indexOf(&quot;y&quot;))===a.name2id(r)}).map(function(t){return t.substr(t.indexOf(&quot;y&quot;),t.length)}),v=n.simpleMap(g,a.id2name),m=0;m&lt;v.length;m++){var y=v[m];c=h[y]||{},f=i.newContainer(d,y,&quot;yaxis&quot;);var b,x=e[y];c.range&amp;&amp;x.isValidRange(c.range)&amp;&amp;(b=&quot;fixed&quot;),&quot;match&quot;!==w(&quot;rangemode&quot;,b)&amp;&amp;w(&quot;range&quot;,x.range.slice())}d._input=h}}function _(t,e){return n.coerce(h,d,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;./attributes&quot;:444,&quot;./oppaxis_attributes&quot;:451}],448:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../drawing&quot;),l=t(&quot;../color&quot;),u=t(&quot;../titles&quot;),c=t(&quot;../../plots/cartesian&quot;),f=t(&quot;../../plots/cartesian/axis_ids&quot;),h=t(&quot;../dragelement&quot;),d=t(&quot;../../lib/setcursor&quot;),p=t(&quot;./constants&quot;);function g(t,e,r,n){var i=o.ensureSingle(t,&quot;rect&quot;,p.bgClassName,function(t){t.attr({x:0,y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,l=-n._offsetShift,u=s.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:&quot;translate(&quot;+l+&quot;,&quot;+l+&quot;)&quot;,fill:n.bgcolor,stroke:n.bordercolor,&quot;stroke-width&quot;:u})}function v(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,&quot;clipPath&quot;,n._clipId,function(t){t.append(&quot;rect&quot;).attr({x:0,y:0})}).select(&quot;rect&quot;).attr({width:n._width,height:n._height})}function m(t,e,r,i){var l,u=e.calcdata,h=t.selectAll(&quot;g.&quot;+p.rangePlotClassName).data(r._subplotsWith,o.identity);h.enter().append(&quot;g&quot;).attr(&quot;class&quot;,function(t){return p.rangePlotClassName+&quot; &quot;+t}).call(s.setClipUrl,i._clipId,e),h.order(),h.exit().remove(),h.each(function(t,o){var s=n.select(this),h=0===o,d=f.getFromId(e,t,&quot;y&quot;),p=d._name,g=i[p],v={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};v.layout[p]={type:d.type,domain:[0,1],range:&quot;match&quot;!==g.rangemode?g.range.slice():d.range.slice(),calendar:d.calendar},a.supplyDefaults(v);var m=v._fullLayout.xaxis,y=v._fullLayout[p];m.clearCalc(),m.setScale(),y.clearCalc(),y.setScale();var b={id:t,plotgroup:s,xaxis:m,yaxis:y,isRangePlot:!0};h?l=b:(b.mainplot=&quot;xy&quot;,b.mainplotinfo=l),c.rangePlot(e,b,function(t,e){for(var r=[],n=0;n&lt;t.length;n++){var i=t[n],a=i[0].trace;a.xaxis+a.yaxis===e&amp;&amp;r.push(i)}return r}(u,t))})}function y(t,e,r,n,i){(o.ensureSingle(t,&quot;rect&quot;,p.maskMinClassName,function(t){t.attr({x:0,y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;height&quot;,n._height).call(l.fill,p.maskColor),o.ensureSingle(t,&quot;rect&quot;,p.maskMaxClassName,function(t){t.attr({y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;height&quot;,n._height).call(l.fill,p.maskColor),&quot;match&quot;!==i.rangemode)&amp;&amp;(o.ensureSingle(t,&quot;rect&quot;,p.maskMinOppAxisClassName,function(t){t.attr({y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;width&quot;,n._width).call(l.fill,p.maskOppAxisColor),o.ensureSingle(t,&quot;rect&quot;,p.maskMaxOppAxisClassName,function(t){t.attr({y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;width&quot;,n._width).style(&quot;border-top&quot;,p.maskOppBorder).call(l.fill,p.maskOppAxisColor))}function b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,&quot;rect&quot;,p.slideBoxClassName,function(t){t.attr({y:0,cursor:p.slideBoxCursor,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr({height:n._height,fill:p.slideBoxFill})}function x(t,e,r,n){var i=o.ensureSingle(t,&quot;g&quot;,p.grabberMinClassName),a=o.ensureSingle(t,&quot;g&quot;,p.grabberMaxClassName),s={x:0,width:p.handleWidth,rx:p.handleRadius,fill:l.background,stroke:l.defaultLine,&quot;stroke-width&quot;:p.handleStrokeWidth,&quot;shape-rendering&quot;:&quot;crispEdges&quot;},u={y:Math.round(n._height/4),height:Math.round(n._height/2)};if(o.ensureSingle(i,&quot;rect&quot;,p.handleMinClassName,function(t){t.attr(s)}).attr(u),o.ensureSingle(a,&quot;rect&quot;,p.handleMaxClassName,function(t){t.attr(s)}).attr(u),!e._context.staticPlot){var c={width:p.grabAreaWidth,x:0,y:0,fill:p.grabAreaFill,cursor:p.grabAreaCursor};o.ensureSingle(i,&quot;rect&quot;,p.grabAreaMinClassName,function(t){t.attr(c)}).attr(&quot;height&quot;,n._height),o.ensureSingle(a,&quot;rect&quot;,p.grabAreaMaxClassName,function(t){t.attr(c)}).attr(&quot;height&quot;,n._height)}}e.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a&lt;r.length;a++){var s=r[a][p.name];s._clipId=s._id+&quot;-&quot;+e._uid}var l=e._infolayer.selectAll(&quot;g.&quot;+p.containerClassName).data(r,function(t){return t._name});l.exit().each(function(t){var r=t[p.name];e._topdefs.select(&quot;#&quot;+r._clipId).remove()}).remove(),0!==r.length&amp;&amp;(l.enter().append(&quot;g&quot;).classed(p.containerClassName,!0).attr(&quot;pointer-events&quot;,&quot;all&quot;),l.each(function(r){var a=n.select(this),s=r[p.name],l=e[f.id2name(r.anchor)],c=s[f.id2name(r.anchor)];if(s.range){var 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e._shapeUpperLayer.selectAll(&quot;path&quot;).remove(),e._shapeLowerLayer.selectAll(&quot;path&quot;).remove(),e._plots){var n=e._plots[r].shapelayer;n&amp;&amp;n.selectAll(&quot;path&quot;).remove()}for(var i=0;i&lt;e.shapes.length;i++)e.shapes[i].visible&amp;&amp;d(t,i)},drawOne:d}},{&quot;../../lib&quot;:495,&quot;../../lib/setcursor&quot;:514,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;./constants&quot;:454,&quot;./helpers&quot;:457}],457:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./constants&quot;),i=t(&quot;../../lib&quot;);r.rangeToShapePosition=function(t){return&quot;log&quot;===t.type?t.r2d:function(t){return t}},r.shapePositionToRange=function(t){return&quot;log&quot;===t.type?t.d2r:function(t){return t}},r.decodeDate=function(t){return function(e){return e.replace&amp;&amp;(e=e.replace(&quot;_&quot;,&quot; &quot;)),t(e)}},r.encodeDate=function(t){return function(e){return t(e).replace(&quot; &quot;,&quot;_&quot;)}},r.extractPathCoords=function(t,e){var r=[];return t.match(n.segmentRE).forEach(function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length&lt;a||r.push(i.cleanNumber(o[a]))}}),r},r.getDataToPixel=function(t,e,n){var i,a=t._fullLayout._size;if(e){var o=r.shapePositionToRange(e);i=function(t){return e._offset+e.r2p(o(t,!0))},&quot;date&quot;===e.type&amp;&amp;(i=r.decodeDate(i))}else i=n?function(t){return a.t+a.h*(1-t)}:function(t){return a.l+a.w*t};return i},r.getPixelToData=function(t,e,n){var i,a=t._fullLayout._size;if(e){var o=r.rangeToShapePosition(e);i=function(t){return o(e.p2r(t-e._offset))}}else i=n?function(t){return 1-(t-a.t)/a.h}:function(t){return(t-a.l)/a.w};return i},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n}},{&quot;../../lib&quot;:495,&quot;./constants&quot;:454}],458:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./draw&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;shapes&quot;,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),includeBasePlot:t(&quot;../../plots/cartesian/include_components&quot;)(&quot;shapes&quot;),calcAutorange:t(&quot;./calc_autorange&quot;),draw:n.draw,drawOne:n.drawOne}},{&quot;../../plots/cartesian/include_components&quot;:551,&quot;./attributes&quot;:452,&quot;./calc_autorange&quot;:453,&quot;./defaults&quot;:455,&quot;./draw&quot;:456}],459:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../../plots/pad_attributes&quot;),a=t(&quot;../../lib/extend&quot;).extendDeepAll,o=t(&quot;../../plot_api/edit_types&quot;).overrideAll,s=t(&quot;../../plots/animation_attributes&quot;),l=t(&quot;../../plot_api/plot_template&quot;).templatedArray,u=t(&quot;./constants&quot;),c=l(&quot;step&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0},method:{valType:&quot;enumerated&quot;,values:[&quot;restyle&quot;,&quot;relayout&quot;,&quot;animate&quot;,&quot;update&quot;,&quot;skip&quot;],dflt:&quot;restyle&quot;},args:{valType:&quot;info_array&quot;,freeLength:!0,items:[{valType:&quot;any&quot;},{valType:&quot;any&quot;},{valType:&quot;any&quot;}]},label:{valType:&quot;string&quot;},value:{valType:&quot;string&quot;},execute:{valType:&quot;boolean&quot;,dflt:!0}});e.exports=o(l(&quot;slider&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0},active:{valType:&quot;number&quot;,min:0,dflt:0},steps:c,lenmode:{valType:&quot;enumerated&quot;,values:[&quot;fraction&quot;,&quot;pixels&quot;],dflt:&quot;fraction&quot;},len:{valType:&quot;number&quot;,min:0,dflt:1},x:{valType:&quot;number&quot;,min:-2,max:3,dflt:0},pad:a(i({editType:&quot;arraydraw&quot;}),{},{t:{dflt:20}}),xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,dflt:0},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;top&quot;},transition:{duration:{valType:&quot;number&quot;,min:0,dflt:150},easing:{valType:&quot;enumerated&quot;,values:s.transition.easing.values,dflt:&quot;cubic-in-out&quot;}},currentvalue:{visible:{valType:&quot;boolean&quot;,dflt:!0},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;},offset:{valType:&quot;number&quot;,dflt:10},prefix:{valType:&quot;string&quot;},suffix:{valType:&quot;string&quot;},font:n({})},font:n({}),activebgcolor:{valType:&quot;color&quot;,dflt:u.gripBgActiveColor},bgcolor:{valType:&quot;color&quot;,dflt:u.railBgColor},bordercolor:{valType:&quot;color&quot;,dflt:u.railBorderColor},borderwidth:{valType:&quot;number&quot;,min:0,dflt:u.railBorderWidth},ticklen:{valType:&quot;number&quot;,min:0,dflt:u.tickLength},tickcolor:{valType:&quot;color&quot;,dflt:u.tickColor},tickwidth:{valType:&quot;number&quot;,min:0,dflt:1},minorticklen:{valType:&quot;number&quot;,min:0,dflt:u.minorTickLength}}),&quot;arraydraw&quot;,&quot;from-root&quot;)},{&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/animation_attributes&quot;:536,&quot;../../plots/font_attributes&quot;:567,&quot;../../plots/pad_attributes&quot;:583,&quot;./constants&quot;:460}],460:[function(t,e,r){&quot;use strict&quot;;e.exports={name:&quot;sliders&quot;,containerClassName:&quot;slider-container&quot;,groupClassName:&quot;slider-group&quot;,inputAreaClass:&quot;slider-input-area&quot;,railRectClass:&quot;slider-rail-rect&quot;,railTouchRectClass:&quot;slider-rail-touch-rect&quot;,gripRectClass:&quot;slider-grip-rect&quot;,tickRectClass:&quot;slider-tick-rect&quot;,inputProxyClass:&quot;slider-input-proxy&quot;,labelsClass:&quot;slider-labels&quot;,labelGroupClass:&quot;slider-label-group&quot;,labelClass:&quot;slider-label&quot;,currentValueClass:&quot;slider-current-value&quot;,railHeight:5,menuIndexAttrName:&quot;slider-active-index&quot;,autoMarginIdRoot:&quot;slider-&quot;,minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:&quot;#bec8d9&quot;,railBgColor:&quot;#f8fafc&quot;,railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:&quot;#bec8d9&quot;,gripBgColor:&quot;#f6f8fa&quot;,gripBgActiveColor:&quot;#dbdde0&quot;,labelPadding:8,labelOffset:0,tickWidth:1,tickColor:&quot;#333&quot;,tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:&quot;#333&quot;,minorTickLength:4,currentValuePadding:8,currentValueInset:0}},{}],461:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/array_container_defaults&quot;),a=t(&quot;./attributes&quot;),o=t(&quot;./constants&quot;).name,s=a.steps;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}for(var s=i(t,e,{name:&quot;steps&quot;,handleItemDefaults:u}),l=0,c=0;c&lt;s.length;c++)s[c].visible&amp;&amp;l++;if(l&lt;2?e.visible=!1:o(&quot;visible&quot;)){e._stepCount=l;var f=e._visibleSteps=n.filterVisible(s);(s[o(&quot;active&quot;)]||{}).visible||(e.active=f[0]._index),o(&quot;x&quot;),o(&quot;y&quot;),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),o(&quot;xanchor&quot;),o(&quot;yanchor&quot;),o(&quot;len&quot;),o(&quot;lenmode&quot;),o(&quot;pad.t&quot;),o(&quot;pad.r&quot;),o(&quot;pad.b&quot;),o(&quot;pad.l&quot;),n.coerceFont(o,&quot;font&quot;,r.font),o(&quot;currentvalue.visible&quot;)&amp;&amp;(o(&quot;currentvalue.xanchor&quot;),o(&quot;currentvalue.prefix&quot;),o(&quot;currentvalue.suffix&quot;),o(&quot;currentvalue.offset&quot;),n.coerceFont(o,&quot;currentvalue.font&quot;,e.font)),o(&quot;transition.duration&quot;),o(&quot;transition.easing&quot;),o(&quot;bgcolor&quot;),o(&quot;activebgcolor&quot;),o(&quot;bordercolor&quot;),o(&quot;borderwidth&quot;),o(&quot;ticklen&quot;),o(&quot;tickwidth&quot;),o(&quot;tickcolor&quot;),o(&quot;minorticklen&quot;)}}function u(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}if(&quot;skip&quot;===t.method||Array.isArray(t.args)?r(&quot;visible&quot;):e.visible=!1){r(&quot;method&quot;),r(&quot;args&quot;);var i=r(&quot;label&quot;,&quot;step-&quot;+e._index);r(&quot;value&quot;,i),r(&quot;execute&quot;)}}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;./attributes&quot;:459,&quot;./constants&quot;:460}],462:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../plots/plots&quot;),a=t(&quot;../color&quot;),o=t(&quot;../drawing&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../../lib/svg_text_utils&quot;),u=t(&quot;../../plot_api/plot_template&quot;).arrayEditor,c=t(&quot;./constants&quot;),f=t(&quot;../../constants/alignment&quot;),h=f.LINE_SPACING,d=f.FROM_TL,p=f.FROM_BR;function g(t){return c.autoMarginIdRoot+t._index}function v(t){return t._index}function m(t,e){var r=o.tester.selectAll(&quot;g.&quot;+c.labelGroupClass).data(e._visibleSteps);r.enter().append(&quot;g&quot;).classed(c.labelGroupClass,!0);var a=0,u=0;r.each(function(t){var r=x(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);u=Math.max(u,i.height),a=Math.max(a,i.width)}}),r.remove();var f=e._dims={};f.inputAreaWidth=Math.max(c.railWidth,c.gripHeight);var h=t._fullLayout._size;f.lx=h.l+h.w*e.x,f.ly=h.t+h.h*(1-e.y),&quot;fraction&quot;===e.lenmode?f.outerLength=Math.round(h.w*e.len):f.outerLength=e.len,f.inputAreaStart=0,f.inputAreaLength=Math.round(f.outerLength-e.pad.l-e.pad.r);var v=(f.inputAreaLength-2*c.stepInset)/(e._stepCount-1),m=a+c.labelPadding;if(f.labelStride=Math.max(1,Math.ceil(m/v)),f.labelHeight=u,f.currentValueMaxWidth=0,f.currentValueHeight=0,f.currentValueTotalHeight=0,f.currentValueMaxLines=1,e.currentvalue.visible){var b=o.tester.append(&quot;g&quot;);r.each(function(t){var r=y(b,e,t.label),n=r.node()&amp;&amp;o.bBox(r.node())||{width:0,height:0},i=l.lineCount(r);f.currentValueMaxWidth=Math.max(f.currentValueMaxWidth,Math.ceil(n.width)),f.currentValueHeight=Math.max(f.currentValueHeight,Math.ceil(n.height)),f.currentValueMaxLines=Math.max(f.currentValueMaxLines,i)}),f.currentValueTotalHeight=f.currentValueHeight+e.currentvalue.offset,b.remove()}f.height=f.currentValueTotalHeight+c.tickOffset+e.ticklen+c.labelOffset+f.labelHeight+e.pad.t+e.pad.b;var _=&quot;left&quot;;s.isRightAnchor(e)&amp;&amp;(f.lx-=f.outerLength,_=&quot;right&quot;),s.isCenterAnchor(e)&amp;&amp;(f.lx-=f.outerLength/2,_=&quot;center&quot;);var w=&quot;top&quot;;s.isBottomAnchor(e)&amp;&amp;(f.ly-=f.height,w=&quot;bottom&quot;),s.isMiddleAnchor(e)&amp;&amp;(f.ly-=f.height/2,w=&quot;middle&quot;),f.outerLength=Math.ceil(f.outerLength),f.height=Math.ceil(f.height),f.lx=Math.round(f.lx),f.ly=Math.round(f.ly);var 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a&amp;&amp;(i=s.templateString(i,{meta:a})),n.call(o.font,r.font).text(i).call(l.convertToTspans,r._gd),n}function _(t,e){var r=s.ensureSingle(t,&quot;g&quot;,c.labelsClass),i=e._dims,a=r.selectAll(&quot;g.&quot;+c.labelGroupClass).data(i.labelSteps);a.enter().append(&quot;g&quot;).classed(c.labelGroupClass,!0),a.exit().remove(),a.each(function(t){var r=n.select(this);r.call(x,t,e),o.setTranslate(r,E(e,t.fraction),c.tickOffset+e.ticklen+e.font.size*h+c.labelOffset+i.currentValueTotalHeight)})}function w(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&amp;&amp;A(t,e,r,o,!0,i)}function A(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,c.name,r).applyUpdate(&quot;active&quot;,n);var l=r.steps[r.active];e.call(k,r,o),e.call(y,r),t.emit(&quot;plotly_sliderchange&quot;,{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&amp;&amp;l.method&amp;&amp;a&amp;&amp;(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame(function(){var r=e._nextMethod.step;r.method&amp;&amp;(r.execute&amp;&amp;i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)})))}function M(t,e,r){var i=r.node(),o=n.select(e);function s(){return r.data()[0]}t.on(&quot;mousedown&quot;,function(){var t=s();e.emit(&quot;plotly_sliderstart&quot;,{slider:t});var l=r.select(&quot;.&quot;+c.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);w(e,r,t,u,!0),t._dragging=!0,o.on(&quot;mousemove&quot;,function(){var 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o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&amp;&amp;e.transition.duration&gt;0&amp;&amp;(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(&quot;transform&quot;,&quot;translate(&quot;+(o-.5*c.gripWidth)+&quot;,&quot;+e._dims.currentValueTotalHeight+&quot;)&quot;)}}function E(t,e){var r=t._dims;return r.inputAreaStart+c.stepInset+(r.inputAreaLength-2*c.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-c.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*c.stepInset-2*r.inputAreaStart)))}function S(t,e,r){var n=r._dims,i=s.ensureSingle(t,&quot;rect&quot;,c.railTouchRectClass,function(n){n.call(M,e,t,r).style(&quot;pointer-events&quot;,&quot;all&quot;)});i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,c.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(&quot;opacity&quot;,0),o.setTranslate(i,0,n.currentValueTotalHeight)}function C(t,e){var r=e._dims,n=r.inputAreaLength-2*c.railInset,i=s.ensureSingle(t,&quot;rect&quot;,c.railRectClass);i.attr({width:n,height:c.railWidth,rx:c.railRadius,ry:c.railRadius,&quot;shape-rendering&quot;:&quot;crispEdges&quot;}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(&quot;stroke-width&quot;,e.borderwidth+&quot;px&quot;),o.setTranslate(i,c.railInset,.5*(r.inputAreaWidth-c.railWidth)+r.currentValueTotalHeight)}e.exports=function(t){var e=t._fullLayout,r=function(t,e){for(var r=t[c.name],n=[],i=0;i&lt;r.length;i++){var a=r[i];a.visible&amp;&amp;(a._gd=e,n.push(a))}return n}(e,t),a=e._infolayer.selectAll(&quot;g.&quot;+c.containerClassName).data(r.length&gt;0?[0]:[]);function s(e){e._commandObserver&amp;&amp;(e._commandObserver.remove(),delete 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(k,r,!1),e.call(y,r)}(t,n.select(this),e)})}}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/plots&quot;:584,&quot;../color&quot;:376,&quot;../drawing&quot;:397,&quot;./constants&quot;:460,d3:81}],463:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./constants&quot;);e.exports={moduleType:&quot;component&quot;,name:n.name,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),draw:t(&quot;./draw&quot;)}},{&quot;./attributes&quot;:459,&quot;./constants&quot;:460,&quot;./defaults&quot;:461,&quot;./draw&quot;:462}],464:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../registry&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../drawing&quot;),u=t(&quot;../color&quot;),c=t(&quot;../../lib/svg_text_utils&quot;),f=t(&quot;../../constants/interactions&quot;);e.exports={draw:function(t,e,r){var d,p=r.propContainer,g=r.propName,v=r.placeholder,m=r.traceIndex,y=r.avoid||{},b=r.attributes,x=r.transform,_=r.containerGroup,w=t._fullLayout,A=1,M=!1,T=p.title,k=(T&amp;&amp;T.text?T.text:&quot;&quot;).trim(),E=T&amp;&amp;T.font?T.font:{},L=E.family,S=E.size,C=E.color;&quot;title.text&quot;===g?d=&quot;titleText&quot;:-1!==g.indexOf(&quot;axis&quot;)?d=&quot;axisTitleText&quot;:g.indexOf(!0)&amp;&amp;(d=&quot;colorbarTitleText&quot;);var O=t._context.edits[d];&quot;&quot;===k?A=0:k.replace(h,&quot; % &quot;)===v.replace(h,&quot; % &quot;)&amp;&amp;(A=.2,M=!0,O||(k=&quot;&quot;));w.meta&amp;&amp;(k=s.templateString(k,{meta:w.meta}));var R=k||O;_||(_=s.ensureSingle(w._infolayer,&quot;g&quot;,&quot;g-&quot;+e));var P=_.selectAll(&quot;text&quot;).data(R?[0]:[]);if(P.enter().append(&quot;text&quot;),P.text(k).attr(&quot;class&quot;,e),P.exit().remove(),!R)return _;function z(t){s.syncOrAsync([I,N],t)}function I(e){var r;return x?(r=&quot;&quot;,x.rotate&amp;&amp;(r+=&quot;rotate(&quot;+[x.rotate,b.x,b.y]+&quot;)&quot;),x.offset&amp;&amp;(r+=&quot;translate(0, &quot;+x.offset+&quot;)&quot;)):r=null,e.attr(&quot;transform&quot;,r),e.style({&quot;font-family&quot;:L,&quot;font-size&quot;:n.round(S,2)+&quot;px&quot;,fill:u.rgb(C),opacity:A*u.opacity(C),&quot;font-weight&quot;:a.fontWeight}).attr(b).call(c.convertToTspans,t),a.previousPromises(t)}function N(t){var e=n.select(t.node().parentNode);if(y&amp;&amp;y.selection&amp;&amp;y.side&amp;&amp;k){e.attr(&quot;transform&quot;,null);var 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n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../color/attributes&quot;),a=t(&quot;../../lib/extend&quot;).extendFlat,o=t(&quot;../../plot_api/edit_types&quot;).overrideAll,s=t(&quot;../../plots/pad_attributes&quot;),l=t(&quot;../../plot_api/plot_template&quot;).templatedArray,u=l(&quot;button&quot;,{visible:{valType:&quot;boolean&quot;},method:{valType:&quot;enumerated&quot;,values:[&quot;restyle&quot;,&quot;relayout&quot;,&quot;animate&quot;,&quot;update&quot;,&quot;skip&quot;],dflt:&quot;restyle&quot;},args:{valType:&quot;info_array&quot;,freeLength:!0,items:[{valType:&quot;any&quot;},{valType:&quot;any&quot;},{valType:&quot;any&quot;}]},label:{valType:&quot;string&quot;,dflt:&quot;&quot;},execute:{valType:&quot;boolean&quot;,dflt:!0}});e.exports=o(l(&quot;updatemenu&quot;,{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:&quot;boolean&quot;},type:{valType:&quot;enumerated&quot;,values:[&quot;dropdown&quot;,&quot;buttons&quot;],dflt:&quot;dropdown&quot;},direction:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;right&quot;,&quot;up&quot;,&quot;down&quot;],dflt:&quot;down&quot;},active:{valType:&quot;integer&quot;,min:-1,dflt:0},showactive:{valType:&quot;boolean&quot;,dflt:!0},buttons:u,x:{valType:&quot;number&quot;,min:-2,max:3,dflt:-.05},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;right&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,dflt:1},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;top&quot;},pad:a(s({editType:&quot;arraydraw&quot;}),{}),font:n({}),bgcolor:{valType:&quot;color&quot;},bordercolor:{valType:&quot;color&quot;,dflt:i.borderLine},borderwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;arraydraw&quot;}}),&quot;arraydraw&quot;,&quot;from-root&quot;)},{&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/font_attributes&quot;:567,&quot;../../plots/pad_attributes&quot;:583,&quot;../color/attributes&quot;:375}],466:[function(t,e,r){&quot;use strict&quot;;e.exports={name:&quot;updatemenus&quot;,containerClassName:&quot;updatemenu-container&quot;,headerGroupClassName:&quot;updatemenu-header-group&quot;,headerClassName:&quot;updatemenu-header&quot;,headerArrowClassName:&quot;updatemenu-header-arrow&quot;,dropdownButtonGroupClassName:&quot;updatemenu-dropdown-button-group&quot;,dropdownButtonClassName:&quot;updatemenu-dropdown-button&quot;,buttonClassName:&quot;updatemenu-button&quot;,itemRectClassName:&quot;updatemenu-item-rect&quot;,itemTextClassName:&quot;updatemenu-item-text&quot;,menuIndexAttrName:&quot;updatemenu-active-index&quot;,autoMarginIdRoot:&quot;updatemenu-&quot;,blankHeaderOpts:{label:&quot;  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n.coerce(t,e,a,r,i)}o(&quot;visible&quot;,i(t,e,{name:&quot;buttons&quot;,handleItemDefaults:u}).length&gt;0)&amp;&amp;(o(&quot;active&quot;),o(&quot;direction&quot;),o(&quot;type&quot;),o(&quot;showactive&quot;),o(&quot;x&quot;),o(&quot;y&quot;),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),o(&quot;xanchor&quot;),o(&quot;yanchor&quot;),o(&quot;pad.t&quot;),o(&quot;pad.r&quot;),o(&quot;pad.b&quot;),o(&quot;pad.l&quot;),n.coerceFont(o,&quot;font&quot;,r.font),o(&quot;bgcolor&quot;,r.paper_bgcolor),o(&quot;bordercolor&quot;),o(&quot;borderwidth&quot;))}function u(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(&quot;visible&quot;,&quot;skip&quot;===t.method||Array.isArray(t.args))&amp;&amp;(r(&quot;method&quot;),r(&quot;args&quot;),r(&quot;label&quot;),r(&quot;execute&quot;))}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;./attributes&quot;:465,&quot;./constants&quot;:466}],468:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../plots/plots&quot;),a=t(&quot;../color&quot;),o=t(&quot;../drawing&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../../lib/svg_text_utils&quot;),u=t(&quot;../../plot_api/plot_template&quot;).arrayEditor,c=t(&quot;../../constants/alignment&quot;).LINE_SPACING,f=t(&quot;./constants&quot;),h=t(&quot;./scrollbox&quot;);function d(t){return t._index}function p(t,e){return+t.attr(f.menuIndexAttrName)===e._index}function 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a=s.ensureSingle(e,&quot;g&quot;,f.headerClassName,function(t){t.style(&quot;pointer-events&quot;,&quot;all&quot;)}),l=i._dims,u=i.active,c=i.buttons[u]||f.blankHeaderOpts,h={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},d={width:l.headerWidth,height:l.headerHeight};a.call(y,i,c,t).call(k,i,h,d),s.ensureSingle(e,&quot;text&quot;,f.headerArrowClassName,function(t){t.classed(&quot;user-select-none&quot;,!0).attr(&quot;text-anchor&quot;,&quot;end&quot;).call(o.font,i.font).text(f.arrowSymbol[i.direction])}).attr({x:l.headerWidth-f.arrowOffsetX+i.pad.l,y:l.headerHeight/2+f.textOffsetY+i.pad.t}),a.on(&quot;click&quot;,function(){r.call(E,String(p(r,i)?-1:i._index)),m(t,e,r,n,i)}),a.on(&quot;mouseover&quot;,function(){a.call(w)}),a.on(&quot;mouseout&quot;,function(){a.call(A,i)}),o.setTranslate(e,l.lx,l.ly)}function m(t,e,r,a,o){r||(r=e).attr(&quot;pointer-events&quot;,&quot;all&quot;);var 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r=n.select(this),a=&quot;dropdown&quot;===e.type?u:null;i.manageCommandObserver(t,e,e.buttons,function(n){g(t,e,e.buttons[n.index],r,a,x,n.index,!0)}),&quot;dropdown&quot;===e.type?(v(t,r,u,x,e),p(u,e)&amp;&amp;m(t,r,u,x,e)):m(t,r,null,null,e)})}}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/plots&quot;:584,&quot;../color&quot;:376,&quot;../drawing&quot;:397,&quot;./constants&quot;:466,&quot;./scrollbox&quot;:470,d3:81}],469:[function(t,e,r){arguments[4][463][0].apply(r,arguments)},{&quot;./attributes&quot;:465,&quot;./constants&quot;:466,&quot;./defaults&quot;:467,&quot;./draw&quot;:468,dup:463}],470:[function(t,e,r){&quot;use strict&quot;;e.exports=s;var n=t(&quot;d3&quot;),i=t(&quot;../color&quot;),a=t(&quot;../drawing&quot;),o=t(&quot;../../lib&quot;);function 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C=m&gt;A,O=s.barWidth+2*s.barPad,R=s.barLength+2*s.barPad,P=p+g,z=v;P+O&gt;l&amp;&amp;(P=l-O);var I=this.container.selectAll(&quot;rect.scrollbar-vertical&quot;).data(C?[0]:[]);I.exit().on(&quot;.drag&quot;,null).remove(),I.enter().append(&quot;rect&quot;).classed(&quot;scrollbar-vertical&quot;,!0).call(i.fill,s.barColor),C?(this.vbar=I.attr({rx:s.barRadius,ry:s.barRadius,x:P,y:z,width:O,height:R}),this._vbarYMin=z+R/2,this._vbarTranslateMax=A-R):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var N=this.id,D=c-.5,F=C?f+O+.5:f+.5,j=h-.5,B=M?d+k+.5:d+.5,U=o._topdefs.selectAll(&quot;#&quot;+N).data(M||C?[0]:[]);if(U.exit().remove(),U.enter().append(&quot;clipPath&quot;).attr(&quot;id&quot;,N).append(&quot;rect&quot;),M||C?(this._clipRect=U.select(&quot;rect&quot;).attr({x:Math.floor(D),y:Math.floor(j),width:Math.ceil(F)-Math.floor(D),height:Math.ceil(B)-Math.floor(j)}),this.container.call(a.setClipUrl,N,this.gd),this.bg.attr({x:p,y:v,width:g,height:m})):(this.bg.attr({width:0,height:0}),this.container.on(&quot;wheel&quot;,null).on(&quot;.drag&quot;,null).call(a.setClipUrl,null),delete this._clipRect),M||C){var V=n.behavior.drag().on(&quot;dragstart&quot;,function(){n.event.sourceEvent.preventDefault()}).on(&quot;drag&quot;,this._onBoxDrag.bind(this));this.container.on(&quot;wheel&quot;,null).on(&quot;wheel&quot;,this._onBoxWheel.bind(this)).on(&quot;.drag&quot;,null).call(V);var H=n.behavior.drag().on(&quot;dragstart&quot;,function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()}).on(&quot;drag&quot;,this._onBarDrag.bind(this));M&amp;&amp;this.hbar.on(&quot;.drag&quot;,null).call(H),C&amp;&amp;this.vbar.on(&quot;.drag&quot;,null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&amp;&amp;(this.bg.attr({width:0,height:0}),this.container.on(&quot;wheel&quot;,null).on(&quot;.drag&quot;,null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&amp;&amp;(this.hbar.on(&quot;.drag&quot;,null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&amp;&amp;(this.vbar.on(&quot;.drag&quot;,null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&amp;&amp;(t-=n.event.dx),this.vbar&amp;&amp;(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&amp;&amp;(t+=n.event.deltaY),this.vbar&amp;&amp;(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&amp;&amp;this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},{&quot;../../lib&quot;:495,&quot;../color&quot;:376,&quot;../drawing&quot;:397,d3:81}],471:[function(t,e,r){&quot;use 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n=t(&quot;../lib/is_plain_object&quot;),i=t(&quot;../lib/noop&quot;),a=t(&quot;../lib/loggers&quot;),o=t(&quot;../lib/search&quot;).sorterAsc,s=t(&quot;../registry&quot;);r.containerArrayMatch=t(&quot;./container_array_match&quot;);var l=r.isAddVal=function(t){return&quot;add&quot;===t||n(t)},u=r.isRemoveVal=function(t){return null===t||&quot;remove&quot;===t};r.applyContainerArrayChanges=function(t,e,r,n,c){var f=e.astr,h=s.getComponentMethod(f,&quot;supplyLayoutDefaults&quot;),d=s.getComponentMethod(f,&quot;draw&quot;),p=s.getComponentMethod(f,&quot;drawOne&quot;),g=n.replot||n.recalc||h===i||d===i,v=t.layout,m=t._fullLayout;if(r[&quot;&quot;]){Object.keys(r).length&gt;1&amp;&amp;a.warn(&quot;Full array edits are incompatible with other edits&quot;,f);var y=r[&quot;&quot;][&quot;&quot;];if(u(y))e.set(null);else{if(!Array.isArray(y))return a.warn(&quot;Unrecognized full array edit value&quot;,f,y),!0;e.set(y)}return!g&amp;&amp;(h(v,m),d(t),!0)}var 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y,b={},x=0;x&lt;v.length;x++){var _=v[x];b[y=_.type]=(b[y]||0)+1,_._fullInput._template||c.push({code:&quot;missing&quot;,index:_._fullInput.index,traceType:y})}for(y in l){var w=l[y].length,A=b[y]||0;w&gt;A?c.push({code:&quot;unused&quot;,traceType:y,templateCount:w,dataCount:A}):A&gt;w&amp;&amp;c.push({code:&quot;reused&quot;,traceType:y,templateCount:w,dataCount:A})}}else c.push({code:&quot;data&quot;});if(function t(e,r){for(var n in e)if(&quot;_&quot;!==n.charAt(0)){var a=e[n],o=d(e,n,r);i(a)?(Array.isArray(e)&amp;&amp;!1===a._template&amp;&amp;a.templateitemname&amp;&amp;c.push({code:&quot;missing&quot;,path:o,templateitemname:a.templateitemname}),t(a,o)):Array.isArray(a)&amp;&amp;p(a)&amp;&amp;t(a,o)}}({data:v,layout:h},&quot;&quot;),c.length)return c.map(g)}},{&quot;../lib&quot;:495,&quot;../plots/attributes&quot;:538,&quot;../plots/plots&quot;:584,&quot;./plot_config&quot;:529,&quot;./plot_schema&quot;:530,&quot;./plot_template&quot;:531}],534:[function(t,e,r){&quot;use 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n=t(&quot;../components/fx/attributes&quot;);e.exports={type:{valType:&quot;enumerated&quot;,values:[],dflt:&quot;scatter&quot;,editType:&quot;calc+clearAxisTypes&quot;,_noTemplating:!0},visible:{valType:&quot;enumerated&quot;,values:[!0,!1,&quot;legendonly&quot;],dflt:!0,editType:&quot;calc&quot;},showlegend:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;style&quot;},legendgroup:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;style&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1,editType:&quot;style&quot;},name:{valType:&quot;string&quot;,editType:&quot;style&quot;},uid:{valType:&quot;string&quot;,editType:&quot;plot&quot;,anim:!0},ids:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;,anim:!0},customdata:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},selectedpoints:{valType:&quot;any&quot;,editType:&quot;calc&quot;},hoverinfo:{valType:&quot;flaglist&quot;,flags:[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;,&quot;text&quot;,&quot;name&quot;],extras:[&quot;all&quot;,&quot;none&quot;,&quot;skip&quot;],arrayOk:!0,dflt:&quot;all&quot;,editType:&quot;none&quot;},hoverlabel:n.hoverlabel,stream:{token:{valType:&quot;string&quot;,noBlank:!0,strict:!0,editType:&quot;calc&quot;},maxpoints:{valType:&quot;number&quot;,min:0,max:1e4,dflt:500,editType:&quot;calc&quot;},editType:&quot;calc&quot;},transforms:{_isLinkedToArray:&quot;transform&quot;,editType:&quot;calc&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;}}},{&quot;../components/fx/attributes&quot;:406}],539:[function(t,e,r){&quot;use 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i=t._fullLayout;if(!i)return[];var a,o=r.listIds(t,e),s=new Array(o.length);for(a=0;a&lt;o.length;a++){var l=o[a];s[a]=i[l.charAt(0)+&quot;axis&quot;+l.substr(1)]}if(!n){var u=i._subplots.gl3d||[];for(a=0;a&lt;u.length;a++){var c=i[u[a]];e?s.push(c[e+&quot;axis&quot;]):s.push(c.xaxis,c.yaxis,c.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+&quot;axis&quot;]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var i=t._fullLayout;return&quot;x&quot;===n?e=e.replace(/y[0-9]*/,&quot;&quot;):&quot;y&quot;===n&amp;&amp;(e=e.replace(/x[0-9]*/,&quot;&quot;)),i[r.id2name(e)]},r.getFromTrace=function(t,e,i){var a=t._fullLayout,o=null;if(n.traceIs(e,&quot;gl3d&quot;)){var s=e.scene;&quot;scene&quot;===s.substr(0,5)&amp;&amp;(o=a[s][i+&quot;axis&quot;])}else o=r.getFromId(t,e[i+&quot;axis&quot;]||i);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return 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0}},nticks:{valType:&quot;integer&quot;,min:0,dflt:0,editType:&quot;ticks&quot;},tick0:{valType:&quot;any&quot;,editType:&quot;ticks&quot;,impliedEdits:{tickmode:&quot;linear&quot;}},dtick:{valType:&quot;any&quot;,editType:&quot;ticks&quot;,impliedEdits:{tickmode:&quot;linear&quot;}},tickvals:{valType:&quot;data_array&quot;,editType:&quot;ticks&quot;},ticktext:{valType:&quot;data_array&quot;,editType:&quot;ticks&quot;},ticks:{valType:&quot;enumerated&quot;,values:[&quot;outside&quot;,&quot;inside&quot;,&quot;&quot;],editType:&quot;ticks&quot;},tickson:{valType:&quot;enumerated&quot;,values:[&quot;labels&quot;,&quot;boundaries&quot;],dflt:&quot;labels&quot;,editType:&quot;ticks&quot;},mirror:{valType:&quot;enumerated&quot;,values:[!0,&quot;ticks&quot;,!1,&quot;all&quot;,&quot;allticks&quot;],dflt:!1,editType:&quot;ticks+layoutstyle&quot;},ticklen:{valType:&quot;number&quot;,min:0,dflt:5,editType:&quot;ticks&quot;},tickwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;ticks&quot;},tickcolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;ticks&quot;},showticklabels:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;ticks&quot;},automargin:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;ticks&quot;},showspikes:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;modebar&quot;},spikecolor:{valType:&quot;color&quot;,dflt:null,editType:&quot;none&quot;},spikethickness:{valType:&quot;number&quot;,dflt:3,editType:&quot;none&quot;},spikedash:o({},a,{dflt:&quot;dash&quot;,editType:&quot;none&quot;}),spikemode:{valType:&quot;flaglist&quot;,flags:[&quot;toaxis&quot;,&quot;across&quot;,&quot;marker&quot;],dflt:&quot;toaxis&quot;,editType:&quot;none&quot;},spikesnap:{valType:&quot;enumerated&quot;,values:[&quot;data&quot;,&quot;cursor&quot;],dflt:&quot;data&quot;,editType:&quot;none&quot;},tickfont:n({editType:&quot;ticks&quot;}),tickangle:{valType:&quot;angle&quot;,dflt:&quot;auto&quot;,editType:&quot;ticks&quot;},tickprefix:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},showtickprefix:{valType:&quot;enumerated&quot;,values:[&quot;all&quot;,&quot;first&quot;,&quot;last&quot;,&quot;none&quot;],dflt:&quot;all&quot;,editType:&quot;ticks&quot;},ticksuffix:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},showticksuffix:{valType:&quot;enumerated&quot;,values:[&quot;all&quot;,&quot;first&quot;,&quot;last&quot;,&quot;none&quot;],dflt:&quot;all&quot;,editType:&quot;ticks&quot;},showexponent:{valType:&quot;enumerated&quot;,values:[&quot;all&quot;,&quot;first&quot;,&quot;last&quot;,&quot;none&quot;],dflt:&quot;all&quot;,editType:&quot;ticks&quot;},exponentformat:{valType:&quot;enumerated&quot;,values:[&quot;none&quot;,&quot;e&quot;,&quot;E&quot;,&quot;power&quot;,&quot;SI&quot;,&quot;B&quot;],dflt:&quot;B&quot;,editType:&quot;ticks&quot;},separatethousands:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;ticks&quot;},tickformat:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},tickformatstops:s(&quot;tickformatstop&quot;,{enabled:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;ticks&quot;},dtickrange:{valType:&quot;info_array&quot;,items:[{valType:&quot;any&quot;,editType:&quot;ticks&quot;},{valType:&quot;any&quot;,editType:&quot;ticks&quot;}],editType:&quot;ticks&quot;},value:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},editType:&quot;ticks&quot;}),hoverformat:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;none&quot;},showline:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;ticks+layoutstyle&quot;},linecolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;layoutstyle&quot;},linewidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;ticks+layoutstyle&quot;},showgrid:{valType:&quot;boolean&quot;,editType:&quot;ticks&quot;},gridcolor:{valType:&quot;color&quot;,dflt:i.lightLine,editType:&quot;ticks&quot;},gridwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;ticks&quot;},zeroline:{valType:&quot;boolean&quot;,editType:&quot;ticks&quot;},zerolinecolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;ticks&quot;},zerolinewidth:{valType:&quot;number&quot;,dflt:1,editType:&quot;ticks&quot;},showdividers:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;ticks&quot;},dividercolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;ticks&quot;},dividerwidth:{valType:&quot;number&quot;,dflt:1,editType:&quot;ticks&quot;},anchor:{valType:&quot;enumerated&quot;,values:[&quot;free&quot;,l.idRegex.x.toString(),l.idRegex.y.toString()],editType:&quot;plot&quot;},side:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;bottom&quot;,&quot;left&quot;,&quot;right&quot;],editType:&quot;plot&quot;},overlaying:{valType:&quot;enumerated&quot;,values:[&quot;free&quot;,l.idRegex.x.toString(),l.idRegex.y.toString()],editType:&quot;plot&quot;},layer:{valType:&quot;enumerated&quot;,values:[&quot;above traces&quot;,&quot;below traces&quot;],dflt:&quot;above traces&quot;,editType:&quot;plot&quot;},domain:{valType:&quot;info_array&quot;,items:[{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;},{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;}],dflt:[0,1],editType:&quot;plot&quot;},position:{valType:&quot;number&quot;,min:0,max:1,dflt:0,editType:&quot;plot&quot;},categoryorder:{valType:&quot;enumerated&quot;,values:[&quot;trace&quot;,&quot;category ascending&quot;,&quot;category 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n=t(&quot;../../lib&quot;),i=t(&quot;../../components/color&quot;),a=t(&quot;../../plot_api/plot_template&quot;),o=t(&quot;../layout_attributes&quot;),s=t(&quot;./layout_attributes&quot;),l=t(&quot;./type_defaults&quot;),u=t(&quot;./axis_defaults&quot;),c=t(&quot;./constraints&quot;).handleConstraintDefaults,f=t(&quot;./position_defaults&quot;),h=t(&quot;./axis_ids&quot;),d=h.id2name,p=h.name2id,g=t(&quot;../../registry&quot;),v=g.traceIs,m=g.getComponentMethod;function y(t,e,r){Array.isArray(t[e])?t[e].push(r):t[e]=[r]}e.exports=function(t,e,r){var h,g,b={},x={},_={},w={},A={};for(h=0;h&lt;r.length;h++){var M=r[h];if(v(M,&quot;cartesian&quot;)||v(M,&quot;gl2d&quot;)){var T,k;if(M.xaxis)y(b,T=d(M.xaxis),M);else if(M.xaxes)for(g=0;g&lt;M.xaxes.length;g++)y(b,d(M.xaxes[g]),M);if(M.yaxis)y(b,k=d(M.yaxis),M);else if(M.yaxes)for(g=0;g&lt;M.yaxes.length;g++)y(b,d(M.yaxes[g]),M);if(v(M,&quot;carpet&quot;)&amp;&amp;(&quot;carpet&quot;!==M.type||M._cheater)||T&amp;&amp;(_[T]=1),&quot;carpet&quot;===M.type&amp;&amp;M._cheater&amp;&amp;T&amp;&amp;(x[T]=1),v(M,&quot;2dMap&quot;)&amp;&amp;(w[T]=1,w[k]=1),v(M,&quot;oriented&quot;))A[&quot;h&quot;===M.orientation?k:T]=1}}var E=e._subplots,L=E.xaxis,S=E.yaxis,C=n.simpleMap(L,d),O=n.simpleMap(S,d),R=C.concat(O),P=i.background;L.length&amp;&amp;S.length&amp;&amp;(P=n.coerce(t,e,o,&quot;plot_bgcolor&quot;));var z,I,N,D,F=i.combine(P,e.paper_bgcolor);function j(t,e){return n.coerce(N,D,s,t,e)}function B(t,e){return n.coerce2(N,D,s,t,e)}function U(t){return&quot;x&quot;===t?S:L}var V={x:U(&quot;x&quot;),y:U(&quot;y&quot;)},H=V.x.concat(V.y);function q(e,r){for(var n=&quot;x&quot;===e?C:O,i=[],a=0;a&lt;n.length;a++){var o=n[a];o===r||(t[o]||{}).overlaying||i.push(p(o))}return i}for(h=0;h&lt;R.length;h++){I=(z=R[h]).charAt(0),n.isPlainObject(t[z])||(t[z]={}),N=t[z],D=a.newContainer(e,z,I+&quot;axis&quot;);var G=b[z]||[];D._traceIndices=G.map(function(t){return t._expandedIndex}),D._annIndices=[],D._shapeIndices=[],D._imgIndices=[],D._subplotsWith=[],D._counterAxes=[],D._name=D._attr=z;var X=D._id=p(z),W=q(I,z),Y={letter:I,font:e.font,outerTicks:w[z],showGrid:!A[z],data:G,bgColor:F,calendar:e.calendar,automargin:!0,cheateronly:&quot;x&quot;===I&amp;&amp;x[z]&amp;&amp;!_[z],splomStash:((e._splomAxes||{})[I]||{})[X]};j(&quot;uirevision&quot;,e.uirevision),l(N,D,j,Y),u(N,D,j,Y,e);var Z=B(&quot;spikecolor&quot;),Q=B(&quot;spikethickness&quot;),$=B(&quot;spikedash&quot;),J=B(&quot;spikemode&quot;),K=B(&quot;spikesnap&quot;);j(&quot;showspikes&quot;,!!(Z||Q||$||J||K))||(delete D.spikecolor,delete D.spikethickness,delete D.spikedash,delete D.spikemode,delete D.spikesnap),f(N,D,j,{letter:I,counterAxes:V[I],overlayableAxes:W,grid:e.grid}),D._input=N}var tt=m(&quot;rangeslider&quot;,&quot;handleDefaults&quot;),et=m(&quot;rangeselector&quot;,&quot;handleDefaults&quot;);for(h=0;h&lt;C.length;h++)z=C[h],N=t[z],D=e[z],tt(t,e,z),&quot;date&quot;===D.type&amp;&amp;et(N,D,e,O,D.calendar),j(&quot;fixedrange&quot;);for(h=0;h&lt;O.length;h++){z=O[h],N=t[z],D=e[z];var rt=e[d(D.anchor)];j(&quot;fixedrange&quot;,m(&quot;rangeslider&quot;,&quot;isVisible&quot;)(rt))}var nt=e._axisConstraintGroups=[],it=e._axisMatchGroups=[];for(h=0;h&lt;R.length;h++)I=(z=R[h]).charAt(0),N=t[z],D=e[z],c(N,D,j,H,e);for(h=0;h&lt;it.length;h++){var at,ot=it[h],st=null,lt=null;for(at in ot)(D=e[d(at)]).matches||(st=D.range,lt=D.autorange);if(null===st||null===lt)for(at in ot){st=(D=e[d(at)]).range,lt=D.autorange;break}for(at in ot)(D=e[d(at)]).matches&amp;&amp;(D.range=st.slice(),D.autorange=lt),D._matchGroup=ot;if(nt.length)for(at in ot)for(g=0;g&lt;nt.length;g++){var ut=nt[g];for(var ct in ut)at===ct&amp;&amp;(n.warn(&quot;Axis &quot;+ct+&quot; is set with both a 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f=l(&quot;gridcolor&quot;,n(s,o.bgColor,o.blend||i).toRgbString()),h=l(&quot;gridwidth&quot;);if(r(&quot;showgrid&quot;,o.showGrid||!!f||!!h)||(delete e.gridcolor,delete e.gridwidth),!o.noZeroLine){var d=l(&quot;zerolinecolor&quot;,s),p=l(&quot;zerolinewidth&quot;);r(&quot;zeroline&quot;,o.showGrid||!!d||!!p)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{&quot;../../components/color/attributes&quot;:375,&quot;../../lib&quot;:495,tinycolor2:342}],556:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib&quot;);e.exports=function(t,e,r,a){var o,s,l,u,c=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,d=a.grid;d&amp;&amp;(s=d._domains[h][d._axisMap[e._id]],o=d._anchors[e._id],s&amp;&amp;(l=d[h+&quot;side&quot;].split(&quot; 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n=t(&quot;../../constants/alignment&quot;).FROM_BL;e.exports=function(t,e,r){void 0===r&amp;&amp;(r=n[t.constraintoward||&quot;center&quot;]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)]}},{&quot;../../constants/alignment&quot;:471}],558:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;polybooljs&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../components/color&quot;),o=t(&quot;../../components/fx&quot;),s=t(&quot;../../lib/polygon&quot;),l=t(&quot;../../lib/throttle&quot;),u=t(&quot;../../components/fx/helpers&quot;).makeEventData,c=t(&quot;./axis_ids&quot;).getFromId,f=t(&quot;../../lib/clear_gl_canvases&quot;),h=t(&quot;../../plot_api/subroutines&quot;).redrawReglTraces,d=t(&quot;./constants&quot;),p=d.MINSELECT,g=s.filter,v=s.tester;function m(t){return t._id}function y(t,e,r,n,i,a,o){var s,l,u,c,f,h,d,p,g,v=e._hoverdata,m=e._fullLayout.clickmode.indexOf(&quot;event&quot;)&gt;-1,y=[];if(function(t){return t&amp;&amp;Array.isArray(t)&amp;&amp;!0!==t[0].hoverOnBox}(v)){w(t,e,a);var b=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n&lt;e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&amp;&amp;(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(v,s=M(e,r,n,i));if(b.pointNumbers.length&gt;0?function(t,e){var r,n,i,a=[];for(i=0;i&lt;t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&amp;&amp;r.cd[0].trace.selectedpoints.length&gt;0&amp;&amp;a.push(r);if(1===a.length&amp;&amp;a[0]===e.searchInfo&amp;&amp;(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i&lt;e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])&lt;0)return!1;return!0}return!1}(s,b):function(t){var e,r,n,i=0;for(n=0;n&lt;t.length;n++)if(e=t[n],(r=e.cd[0].trace).selectedpoints){if(r.selectedpoints.length&gt;1)return!1;if((i+=r.selectedpoints.length)&gt;1)return!1}return 1===i}(s)&amp;&amp;(h=k(b))){for(o&amp;&amp;o.remove(),g=0;g&lt;s.length;g++)(l=s[g])._module.selectPoints(l,!1);E(e,s),A(a),m&amp;&amp;e.emit(&quot;plotly_deselect&quot;,null)}else{for(d=t.shiftKey&amp;&amp;(void 0!==h?h:k(b)),u=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:r}}(b.pointNumber,b.searchInfo,d),c=_(a.selectionDefs.concat([u])),g=0;g&lt;s.length;g++)if(f=L(s[g]._module.selectPoints(s[g],c),s[g]),y.length)for(var x=0;x&lt;f.length;x++)y.push(f[x]);else y=f;E(e,s,p={points:y}),u&amp;&amp;a&amp;&amp;a.selectionDefs.push(u),o&amp;&amp;T(a.mergedPolygons,o),m&amp;&amp;e.emit(&quot;plotly_selected&quot;,p)}}}function b(t){return&quot;pointNumber&quot;in t&amp;&amp;&quot;searchInfo&quot;in t}function x(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&amp;&amp;n===t.pointNumber},isRect:!1,degenerate:!1,subtract:t.subtract}}function _(t){for(var e=[],r=b(t[0])?0:t[0][0][0],n=r,i=b(t[0])?0:t[0][0][1],a=i,o=0;o&lt;t.length;o++)if(b(t[o]))e.push(x(t[o]));else{var l=s.tester(t[o]);l.subtract=t[o].subtract,e.push(l),r=Math.min(r,l.xmin),n=Math.max(n,l.xmax),i=Math.min(i,l.ymin),a=Math.max(a,l.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o&lt;e.length;o++)e[o].contains(t,r,n,i)&amp;&amp;(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function w(t,e,r){var n=e._fullLayout,i=n._zoomlayer,a=r.plotinfo,o=n._lastSelectedSubplot&amp;&amp;n._lastSelectedSubplot===a.id,s=t.shiftKey||t.altKey;o&amp;&amp;s&amp;&amp;a.selection&amp;&amp;a.selection.selectionDefs&amp;&amp;!r.selectionDefs?(r.selectionDefs=a.selection.selectionDefs,r.mergedPolygons=a.selection.mergedPolygons):s&amp;&amp;a.selection||A(r),o||(S(i),n._lastSelectedSubplot=a.id)}function A(t){var e=t.plotinfo;e.selection={},e.selection.selectionDefs=t.selectionDefs=[],e.selection.mergedPolygons=t.mergedPolygons=[]}function M(t,e,r,n){var i,a,o,s=[],l=e.map(m),u=r.map(m);for(o=0;o&lt;t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&amp;&amp;a._module&amp;&amp;a._module.selectPoints)if(!n||a.subplot!==n&amp;&amp;a.geo!==n)if(&quot;splom&quot;===a.type&amp;&amp;a._xaxes[l[0]]&amp;&amp;a._yaxes[u[0]]){var f=h(a._module,i,e[0],r[0]);f.scene=t._fullLayout._splomScenes[a.uid],s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===u.indexOf(a.yaxis))continue;s.push(h(a._module,i,c(t,a.xaxis),c(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function T(t,e){var r,n,i=[];for(r=0;r&lt;t.length;r++){var a=t[r];i.push(a.join(&quot;L&quot;)+&quot;L&quot;+a[0])}n=t.length&gt;0?&quot;M&quot;+i.join(&quot;M&quot;)+&quot;Z&quot;:&quot;M0,0Z&quot;,e.attr(&quot;d&quot;,n)}function k(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length&gt;0?n[0]:r;return!!e.selectedpoints&amp;&amp;e.selectedpoints.indexOf(i)&gt;-1}function E(t,e,r){var n,a,o,s;for(n=0;n&lt;e.length;n++){var l=e[n].cd[0].trace._fullInput,u=t._fullLayout._tracePreGUI[l.uid];void 0===u.selectedpoints&amp;&amp;(u.selectedpoints=l._input.selectedpoints||null)}if(r){var c=r.points||[];for(n=0;n&lt;e.length;n++)(s=e[n].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&amp;&amp;(s.selectedpoints=[]);for(n=0;n&lt;c.length;n++){var d=c[n],p=d.data,g=d.fullData;d.pointIndices?([].push.apply(p.selectedpoints,d.pointIndices),s._fullInput!==s&amp;&amp;[].push.apply(g.selectedpoints,d.pointIndices)):(p.selectedpoints.push(d.pointIndex),s._fullInput!==s&amp;&amp;g.selectedpoints.push(d.pointIndex))}}else for(n=0;n&lt;e.length;n++)delete(s=e[n].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&amp;&amp;delete s._fullInput.selectedpoints;var v=!1;for(n=0;n&lt;e.length;n++){s=(o=(a=e[n]).cd)[0].trace,i.traceIs(s,&quot;regl&quot;)&amp;&amp;(v=!0);var m=a._module,y=m.styleOnSelect||m.style;y&amp;&amp;y(t,o)}v&amp;&amp;(f(t),h(t))}function L(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i&lt;t.length;i++)t[i]=u(t[i],n,r);return t}function S(t){t.selectAll(&quot;.select-outline&quot;).remove()}e.exports={prepSelect:function(t,e,r,i,s){var u,c,f,h,m,b,x,k=i.gd,S=k._fullLayout,C=S._zoomlayer,O=i.element.getBoundingClientRect(),R=i.plotinfo,P=R.xaxis._offset,z=R.yaxis._offset,I=e-O.left,N=r-O.top,D=I,F=N,j=&quot;M&quot;+I+&quot;,&quot;+N,B=i.xaxes[0]._length,U=i.yaxes[0]._length,V=i.xaxes.concat(i.yaxes),H=t.altKey;w(t,k,i),&quot;lasso&quot;===s&amp;&amp;(u=g([[I,N]],d.BENDPX));var q=C.selectAll(&quot;path.select-outline-&quot;+R.id).data([1,2]);q.enter().append(&quot;path&quot;).attr(&quot;class&quot;,function(t){return&quot;select-outline select-outline-&quot;+t+&quot; select-outline-&quot;+R.id}).attr(&quot;transform&quot;,&quot;translate(&quot;+P+&quot;, &quot;+z+&quot;)&quot;).attr(&quot;d&quot;,j+&quot;Z&quot;);var 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p=u[d];c=t[p]||{},(f=a.newContainer(e,p))._id=p[0]+r.scene,f._name=p,s(c,f,h,r),l(c,f,h,{font:r.font,letter:p[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(&quot;gridcolor&quot;,n(f.color,r.bgColor,13600/187).toRgbString()),h(&quot;title.text&quot;,p[0]),f.setScale=i.noop,h(&quot;showspikes&quot;)&amp;&amp;(h(&quot;spikesides&quot;),h(&quot;spikethickness&quot;),h(&quot;spikecolor&quot;,f.color)),h(&quot;showaxeslabels&quot;),h(&quot;showbackground&quot;)&amp;&amp;h(&quot;backgroundcolor&quot;)}}},{&quot;../../../lib&quot;:495,&quot;../../../plot_api/plot_template&quot;:531,&quot;../../cartesian/axis_defaults&quot;:543,&quot;../../cartesian/type_defaults&quot;:564,&quot;./axis_attributes&quot;:572,tinycolor2:342}],574:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../lib/str2rgbarray&quot;),i=t(&quot;../../../lib&quot;),a=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[&quot;sans-serif&quot;,&quot;sans-serif&quot;,&quot;sans-serif&quot;],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],this.labelEnable=[!0,!0,!0],this.labelFont=[&quot;Open Sans&quot;,&quot;Open Sans&quot;,&quot;Open Sans&quot;],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r&lt;3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t.meta?i.templateString(o.title.text,{meta:t.meta}):o.title.text,&quot;font&quot;in o.title&amp;&amp;(o.title.font.color&amp;&amp;(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&amp;&amp;(this.labelFont[r]=o.title.font.family),o.title.font.size&amp;&amp;(this.labelSize[r]=o.title.font.size)),&quot;showline&quot;in o&amp;&amp;(this.lineEnable[r]=o.showline),&quot;linecolor&quot;in o&amp;&amp;(this.lineColor[r]=n(o.linecolor)),&quot;linewidth&quot;in o&amp;&amp;(this.lineWidth[r]=o.linewidth),&quot;showgrid&quot;in o&amp;&amp;(this.gridEnable[r]=o.showgrid),&quot;gridcolor&quot;in o&amp;&amp;(this.gridColor[r]=n(o.gridcolor)),&quot;gridwidth&quot;in o&amp;&amp;(this.gridWidth[r]=o.gridwidth),&quot;log&quot;===o.type?this.zeroEnable[r]=!1:&quot;zeroline&quot;in o&amp;&amp;(this.zeroEnable[r]=o.zeroline),&quot;zerolinecolor&quot;in o&amp;&amp;(this.zeroLineColor[r]=n(o.zerolinecolor)),&quot;zerolinewidth&quot;in o&amp;&amp;(this.zeroLineWidth[r]=o.zerolinewidth),&quot;ticks&quot;in o&amp;&amp;o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,&quot;ticklen&quot;in o&amp;&amp;(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),&quot;tickcolor&quot;in o&amp;&amp;(this.lineTickColor[r]=n(o.tickcolor)),&quot;tickwidth&quot;in o&amp;&amp;(this.lineTickWidth[r]=o.tickwidth),&quot;tickangle&quot;in o&amp;&amp;(this.tickAngle[r]=&quot;auto&quot;===o.tickangle?-3600:Math.PI*-o.tickangle/180),&quot;showticklabels&quot;in o&amp;&amp;(this.tickEnable[r]=o.showticklabels),&quot;tickfont&quot;in o&amp;&amp;(o.tickfont.color&amp;&amp;(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&amp;&amp;(this.tickFont[r]=o.tickfont.family),o.tickfont.size&amp;&amp;(this.tickSize[r]=o.tickfont.size)),&quot;mirror&quot;in o?-1!==[&quot;ticks&quot;,&quot;all&quot;,&quot;allticks&quot;].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,&quot;showbackground&quot;in o&amp;&amp;!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{&quot;../../../lib&quot;:495,&quot;../../../lib/str2rgbarray&quot;:517}],575:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../lib&quot;),i=t(&quot;../../../components/color&quot;),a=t(&quot;../../../registry&quot;),o=t(&quot;../../subplot_defaults&quot;),s=t(&quot;./axis_defaults&quot;),l=t(&quot;./layout_attributes&quot;),u=t(&quot;../../get_data&quot;).getSubplotData,c=&quot;gl3d&quot;;function f(t,e,r,n){for(var o=r(&quot;bgcolor&quot;),l=i.combine(o,n.paper_bgcolor),f=[&quot;up&quot;,&quot;center&quot;,&quot;eye&quot;],h=0;h&lt;f.length;h++)r(&quot;camera.&quot;+f[h]+&quot;.x&quot;),r(&quot;camera.&quot;+f[h]+&quot;.y&quot;),r(&quot;camera.&quot;+f[h]+&quot;.z&quot;);r(&quot;camera.projection.type&quot;);var d=!!r(&quot;aspectratio.x&quot;)&amp;&amp;!!r(&quot;aspectratio.y&quot;)&amp;&amp;!!r(&quot;aspectratio.z&quot;),p=r(&quot;aspectmode&quot;,d?&quot;manual&quot;:&quot;auto&quot;);d||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},&quot;manual&quot;===p&amp;&amp;(e.aspectmode=&quot;auto&quot;),t.aspectmode=e.aspectmode);var g=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),a.getComponentMethod(&quot;annotations3d&quot;,&quot;handleDefaults&quot;)(t,e,n);var v=n.getDfltFromLayout(&quot;dragmode&quot;);if(!1!==v&amp;&amp;!v)if(v=&quot;orbit&quot;,t.camera&amp;&amp;t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,b=t.camera.up.z;0!==b&amp;&amp;(m&amp;&amp;y&amp;&amp;b?b/Math.sqrt(m*m+y*y+b*b)&gt;.999&amp;&amp;(v=&quot;turntable&quot;):v=&quot;turntable&quot;)}else v=&quot;turntable&quot;;r(&quot;dragmode&quot;,v),r(&quot;hovermode&quot;,n.getDfltFromLayout(&quot;hovermode&quot;))}e.exports=function(t,e,r){var i=e._basePlotModules.length&gt;1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{&quot;../../../components/color&quot;:376,&quot;../../../lib&quot;:495,&quot;../../../registry&quot;:592,&quot;../../get_data&quot;:569,&quot;../../subplot_defaults&quot;:591,&quot;./axis_defaults&quot;:573,&quot;./layout_attributes&quot;:576}],576:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./axis_attributes&quot;),i=t(&quot;../../domain&quot;).attributes,a=t(&quot;../../../lib/extend&quot;).extendFlat,o=t(&quot;../../../lib&quot;).counterRegex;function s(t,e,r){return{x:{valType:&quot;number&quot;,dflt:t,editType:&quot;camera&quot;},y:{valType:&quot;number&quot;,dflt:e,editType:&quot;camera&quot;},z:{valType:&quot;number&quot;,dflt:r,editType:&quot;camera&quot;},editType:&quot;camera&quot;}}e.exports={_arrayAttrRegexps:[o(&quot;scene&quot;,&quot;.annotations&quot;,!0)],bgcolor:{valType:&quot;color&quot;,dflt:&quot;rgba(0,0,0,0)&quot;,editType:&quot;plot&quot;},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:&quot;enumerated&quot;,values:[&quot;perspective&quot;,&quot;orthographic&quot;],dflt:&quot;perspective&quot;,editType:&quot;calc&quot;},editType:&quot;calc&quot;},editType:&quot;camera&quot;},domain:i({name:&quot;scene&quot;,editType:&quot;plot&quot;}),aspectmode:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;cube&quot;,&quot;data&quot;,&quot;manual&quot;],dflt:&quot;auto&quot;,editType:&quot;plot&quot;,impliedEdits:{&quot;aspectratio.x&quot;:void 0,&quot;aspectratio.y&quot;:void 0,&quot;aspectratio.z&quot;:void 0}},aspectratio:{x:{valType:&quot;number&quot;,min:0,editType:&quot;plot&quot;,impliedEdits:{&quot;^aspectmode&quot;:&quot;manual&quot;}},y:{valType:&quot;number&quot;,min:0,editType:&quot;plot&quot;,impliedEdits:{&quot;^aspectmode&quot;:&quot;manual&quot;}},z:{valType:&quot;number&quot;,min:0,editType:&quot;plot&quot;,impliedEdits:{&quot;^aspectmode&quot;:&quot;manual&quot;}},editType:&quot;plot&quot;,impliedEdits:{aspectmode:&quot;manual&quot;}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:&quot;enumerated&quot;,values:[&quot;orbit&quot;,&quot;turntable&quot;,&quot;zoom&quot;,&quot;pan&quot;,!1],editType:&quot;plot&quot;},hovermode:{valType:&quot;enumerated&quot;,values:[&quot;closest&quot;,!1],dflt:&quot;closest&quot;,editType:&quot;modebar&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},editType:&quot;plot&quot;,_deprecated:{cameraposition:{valType:&quot;info_array&quot;,editType:&quot;camera&quot;}}}},{&quot;../../../lib&quot;:495,&quot;../../../lib/extend&quot;:488,&quot;../../domain&quot;:566,&quot;./axis_attributes&quot;:572}],577:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../lib/str2rgbarray&quot;),i=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e&lt;3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{&quot;../../../lib/str2rgbarray&quot;:517}],578:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u&lt;3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&amp;&amp;(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(&quot;auto&quot;===c.tickmode){c.tickmode=&quot;linear&quot;;var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var d=n.calcTicks(c),p=0;p&lt;d.length;++p)d[p].x=d[p].x*t.dataScale[u],&quot;date&quot;===c.type&amp;&amp;(d[p].text=d[p].text.replace(/\\&lt;br\\&gt;/g,&quot; &quot;));l[u]=d,c.tickmode=f}}e.ticks=l;for(var u=0;u&lt;3;++u){o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]);for(var p=0;p&lt;2;++p)e.bounds[p][u]=t.glplot.bounds[p][u]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r&lt;3;++r){for(var n=t[r],i=new Array(n.length),a=0;a&lt;n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(&quot;../../cartesian/axes&quot;),i=t(&quot;../../../lib&quot;),a=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;],o=[0,0,0]},{&quot;../../../lib&quot;:495,&quot;../../cartesian/axes&quot;:541}],579:[function(t,e,r){&quot;use strict&quot;;function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r&lt;4;++r)for(n=0;n&lt;4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],580:[function(t,e,r){&quot;use strict&quot;;var n,i,a=t(&quot;gl-plot3d&quot;).createCamera,o=t(&quot;gl-plot3d&quot;).createScene,s=t(&quot;webgl-context&quot;),l=t(&quot;has-passive-events&quot;),u=t(&quot;../../registry&quot;),c=t(&quot;../../lib&quot;),f=t(&quot;../../plots/cartesian/axes&quot;),h=t(&quot;../../components/fx&quot;),d=t(&quot;../../lib/str2rgbarray&quot;),p=t(&quot;../../lib/show_no_webgl_msg&quot;),g=t(&quot;./project&quot;),v=t(&quot;./layout/convert&quot;),m=t(&quot;./layout/spikes&quot;),y=t(&quot;./layout/tick_marks&quot;);function b(t,e,r,a){if(t.initializeGLCamera(),!function(t,e,r,a,l){var u={canvas:a,gl:l,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e,pixelRatio:r};if(t.staticMode){if(!(i||(n=document.createElement(&quot;canvas&quot;),i=s({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(&quot;error creating static canvas/context for image server&quot;);u.pixelRatio=t.pixelRatio,u.gl=i,u.canvas=n}try{t.glplot=o(u)}catch(t){return!1}return!0}(t,t.camera,e,r,a))return p(t);var u=t.graphDiv,d=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+&quot;.camera&quot;]=M(t.camera),t.saveCamera(u.layout),t.graphDiv.emit(&quot;plotly_relayout&quot;,e)}};return t.glplot.canvas.addEventListener(&quot;mouseup&quot;,function(){d(t)}),t.glplot.canvas.addEventListener(&quot;wheel&quot;,function(){u._context._scrollZoom.gl3d&amp;&amp;d(t)},!!l&amp;&amp;{passive:!1}),t.staticMode||t.glplot.canvas.addEventListener(&quot;webglcontextlost&quot;,function(e){u&amp;&amp;u.emit&amp;&amp;u.emit(&quot;plotly_webglcontextlost&quot;,{event:e,layer:t.id})},!1),t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(t){var e,r=t.svgContainer,n=t.container.getBoundingClientRect(),i=n.width,a=n.height;r.setAttributeNS(null,&quot;viewBox&quot;,&quot;0 0 &quot;+i+&quot; &quot;+a),r.setAttributeNS(null,&quot;width&quot;,i),r.setAttributeNS(null,&quot;height&quot;,a),y(t),t.glplot.axes.update(t.axesOptions);for(var o,s=Object.keys(t.traces),l=null,u=t.glplot.selection,d=0;d&lt;s.length;++d)&quot;skip&quot;!==(e=t.traces[s[d]]).data.hoverinfo&amp;&amp;e.handlePick(u)&amp;&amp;(l=e),e.setContourLevels&amp;&amp;e.setContourLevels();function p(e,r){var n=t.fullSceneLayout[e];return f.tickText(n,n.d2l(r),&quot;hover&quot;).text}if(null!==l){var v=g(t.glplot.cameraParams,u.dataCoordinate);e=l.data;var m,b=u.index,x={xLabel:p(&quot;xaxis&quot;,u.traceCoordinate[0]),yLabel:p(&quot;yaxis&quot;,u.traceCoordinate[1]),zLabel:p(&quot;zaxis&quot;,u.traceCoordinate[2])},_=h.castHoverinfo(e,t.fullLayout,b),w=(_||&quot;&quot;).split(&quot;+&quot;),A=_&amp;&amp;&quot;all&quot;===_;e.hovertemplate||A||(-1===w.indexOf(&quot;x&quot;)&amp;&amp;(x.xLabel=void 0),-1===w.indexOf(&quot;y&quot;)&amp;&amp;(x.yLabel=void 0),-1===w.indexOf(&quot;z&quot;)&amp;&amp;(x.zLabel=void 0),-1===w.indexOf(&quot;text&quot;)&amp;&amp;(u.textLabel=void 0),-1===w.indexOf(&quot;name&quot;)&amp;&amp;(l.name=void 0));var M=[];&quot;cone&quot;===e.type||&quot;streamtube&quot;===e.type?(x.uLabel=p(&quot;xaxis&quot;,u.traceCoordinate[3]),(A||-1!==w.indexOf(&quot;u&quot;))&amp;&amp;M.push(&quot;u: &quot;+x.uLabel),x.vLabel=p(&quot;yaxis&quot;,u.traceCoordinate[4]),(A||-1!==w.indexOf(&quot;v&quot;))&amp;&amp;M.push(&quot;v: &quot;+x.vLabel),x.wLabel=p(&quot;zaxis&quot;,u.traceCoordinate[5]),(A||-1!==w.indexOf(&quot;w&quot;))&amp;&amp;M.push(&quot;w: &quot;+x.wLabel),x.normLabel=u.traceCoordinate[6].toPrecision(3),(A||-1!==w.indexOf(&quot;norm&quot;))&amp;&amp;M.push(&quot;norm: &quot;+x.normLabel),&quot;streamtube&quot;===e.type&amp;&amp;(x.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(A||-1!==w.indexOf(&quot;divergence&quot;))&amp;&amp;M.push(&quot;divergence: &quot;+x.divergenceLabel)),u.textLabel&amp;&amp;M.push(u.textLabel),m=M.join(&quot;&lt;br&gt;&quot;)):&quot;isosurface&quot;===e.type?(x.valueLabel=f.tickText(t.mockAxis,t.mockAxis.d2l(u.traceCoordinate[3]),&quot;hover&quot;).text,M.push(&quot;value: &quot;+x.valueLabel),u.textLabel&amp;&amp;M.push(u.textLabel),m=M.join(&quot;&lt;br&gt;&quot;)):m=u.textLabel;var T={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:e._input,fullData:e,curveNumber:e.index,pointNumber:b};h.appendArrayPointValue(T,e,b),e._module.eventData&amp;&amp;(T=e._module.eventData(T,u,e,{},b));var k={points:[T]};t.fullSceneLayout.hovermode&amp;&amp;h.loneHover({trace:e,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*a,xLabel:x.xLabel,yLabel:x.yLabel,zLabel:x.zLabel,text:m,name:l.name,color:h.castHoverOption(e,b,&quot;bgcolor&quot;)||l.color,borderColor:h.castHoverOption(e,b,&quot;bordercolor&quot;),fontFamily:h.castHoverOption(e,b,&quot;font.family&quot;),fontSize:h.castHoverOption(e,b,&quot;font.size&quot;),fontColor:h.castHoverOption(e,b,&quot;font.color&quot;),hovertemplate:c.castOption(e,b,&quot;hovertemplate&quot;),hovertemplateLabels:c.extendFlat({},T,x),eventData:[T]},{container:r,gd:t.graphDiv}),u.buttons&amp;&amp;u.distance&lt;5?t.graphDiv.emit(&quot;plotly_click&quot;,k):t.graphDiv.emit(&quot;plotly_hover&quot;,k),o=k}else h.loneUnhover(r),t.graphDiv.emit(&quot;plotly_unhover&quot;,o);t.drawAnnotations(t)}.bind(null,t),t.traces={},t.make4thDimension(),!0}function x(t,e){var r=document.createElement(&quot;div&quot;),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(&quot;http://www.w3.org/2000/svg&quot;,&quot;svg&quot;);i.style.position=&quot;absolute&quot;,i.style.top=i.style.left=&quot;0px&quot;,i.style.width=i.style.height=&quot;100%&quot;,i.style[&quot;z-index&quot;]=20,i.style[&quot;pointer-events&quot;]=&quot;none&quot;,r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=&quot;absolute&quot;,r.style.top=r.style.left=&quot;0px&quot;,r.style.width=r.style.height=&quot;100%&quot;,n.appendChild(r),this.fullLayout=e,this.id=t.id||&quot;scene&quot;,this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=m(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(&quot;annotations3d&quot;,&quot;convert&quot;),this.drawAnnotations=u.getComponentMethod(&quot;annotations3d&quot;,&quot;draw&quot;),b(this,this.pixelRatio)}var _=x.prototype;_.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=&quot;orthographic&quot;===t.projection.type;this.camera=a(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:&quot;orbit&quot;})},_.recoverContext=function(){var t=this,e=this.glplot.gl,r=this.glplot.canvas,n=this.glplot.camera,i=this.glplot.pixelRatio;this.glplot.dispose(),requestAnimationFrame(function a(){e.isContextLost()?requestAnimationFrame(a):b(t,n,i,r)?t.plot.apply(t,t.plotArgs):c.error(&quot;Catastrophic and unrecoverable WebGL error. Context lost.&quot;)})};var w=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i&lt;3;i++){var a=w[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+&quot;calendar&quot;],f=e[&quot;_&quot;+o+&quot;length&quot;];if(c.isArrayOrTypedArray(l))for(var h,d=0;d&lt;(f||l.length);d++)if(c.isArrayOrTypedArray(l[d]))for(var p=0;p&lt;l[d].length;++p)h=s.d2l(l[d][p],0,u),!isNaN(h)&amp;&amp;isFinite(h)&amp;&amp;(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[d],0,u),!isNaN(h)&amp;&amp;isFinite(h)&amp;&amp;(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],f-1)}}function M(t){return{up:{x:t.up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?&quot;orthographic&quot;:&quot;perspective&quot;}}}_.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,u=e[this.id],c=r[this.id];u.bgcolor?this.glplot.clearColor=d(u.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=u,this.glplotLayout=u,this.axesOptions.merge(e,u),this.spikeOptions.merge(u),this.setCamera(u.camera),this.updateFx(u.dragmode,u.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.update({}),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a&lt;t.length;++a)!0===(n=t[a]).visible&amp;&amp;A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i&lt;3;i++)for(var a=w[i],o=a.charAt(0),s=r[a],l=0;l&lt;n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&amp;&amp;isFinite(c)&amp;&amp;(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,f);var h=[1,1,1];for(o=0;o&lt;3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a&lt;t.length;++a)!0===(n=t[a]).visible&amp;&amp;((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a&lt;p.length;++a){for(o=0;o&lt;t.length;++o)if(t[o].uid===p[a]&amp;&amp;!0===t[o].visible)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var g=[[0,0,0],[0,0,0]],v=[],m={};for(a=0;a&lt;3;++a){if((l=(s=u[w[a]]).type)in m?(m[l].acc*=h[a],m[l].count+=1):m[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var y=this.glplot.objects,b=this.fullSceneLayout.annotations||[],x=s._name.charAt(0);for(o=0;o&lt;y.length;o++){var _=y[o],M=_.bounds,T=_._trace.data._pad||0;&quot;ErrorBars&quot;===_.constructor.name&amp;&amp;s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],M[0][a]/h[a]-T),g[1][a]=Math.max(g[1][a],M[1][a]/h[a]+T)}for(o=0;o&lt;b.length;o++){var k=b[o];if(k.visible){var E=s.r2l(k[x]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(&quot;rangemode&quot;in s&amp;&amp;&quot;tozero&quot;===s.rangemode&amp;&amp;(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]&gt;g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(&quot;reversed&quot;===s.autorange){var S=g[0][a];g[0][a]=g[1][a],g[1][a]=S}}else{var C=s.range;g[0][a]=s.r2l(C[0]),g[1][a]=s.r2l(C[1])}g[0][a]===g[1][a]&amp;&amp;(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.bounds[0][a]=g[0][a]*h[a],this.glplot.bounds[1][a]=g[1][a]*h[a]}var O=[1,1,1];for(a=0;a&lt;3;++a){var R=m[l=(s=u[w[a]]).type];O[a]=Math.pow(R.acc,1/R.count)/h[a]}var P;if(&quot;auto&quot;===u.aspectmode)P=Math.max.apply(null,O)/Math.min.apply(null,O)&lt;=4?O:[1,1,1];else if(&quot;cube&quot;===u.aspectmode)P=[1,1,1];else if(&quot;data&quot;===u.aspectmode)P=O;else{if(&quot;manual&quot;!==u.aspectmode)throw new Error(&quot;scene.js aspectRatio was not one of the enumerated types&quot;);var z=u.aspectratio;P=[z.x,z.y,z.z]}u.aspectratio.x=c.aspectratio.x=P[0],u.aspectratio.y=c.aspectratio.y=P[1],u.aspectratio.z=c.aspectratio.z=P[2],this.glplot.aspect=P;var I=u.domain||null,N=e._size||null;if(I&amp;&amp;N){var D=this.container.style;D.position=&quot;absolute&quot;,D.left=N.l+I.x[0]*N.w+&quot;px&quot;,D.top=N.t+(1-I.y[1])*N.h+&quot;px&quot;,D.width=N.w*(I.x[1]-I.x[0])+&quot;px&quot;,D.height=N.h*(I.y[1]-I.y[0])+&quot;px&quot;}this.glplot.redraw()}},_.destroy=function(){this.glplot&amp;&amp;(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(&quot;wheel&quot;,this.camera.wheelListener),this.camera=this.glplot.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},_.getCamera=function(){return this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()),M(this.glplot.camera)},_.setCamera=function(t){var e;this.glplot.camera.lookAt.apply(this,[[(e=t).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]);var r=&quot;orthographic&quot;===t.projection.type;if(r!==this.glplot.camera._ortho){this.glplot.redraw();var n=this.glplot.pixelRatio,i=this.glplot.clearColor;this.glplot.gl.clearColor(i[0],i[1],i[2],i[3]),this.glplot.gl.clear(this.glplot.gl.DEPTH_BUFFER_BIT|this.glplot.gl.COLOR_BUFFER_BIT),this.glplot.dispose(),b(this,n),this.glplot.camera._ortho=r}},_.saveCamera=function(t){var e=this.fullLayout,r=this.getCamera(),n=c.nestedProperty(t,this.id+&quot;.camera&quot;),i=n.get(),a=!1;function o(t,e,r,n){var i=[&quot;up&quot;,&quot;center&quot;,&quot;eye&quot;],a=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];return e[i[r]]&amp;&amp;t[i[r]][a[n]]===e[i[r]][a[n]]}if(void 0===i)a=!0;else{for(var s=0;s&lt;3;s++)for(var l=0;l&lt;3;l++)if(!o(r,i,s,l)){a=!0;break}(!i.projection||r.projection&amp;&amp;r.projection.type!==i.projection.type)&amp;&amp;(a=!0)}if(a){var f={};f[this.id+&quot;.camera&quot;]=i,u.call(&quot;_storeDirectGUIEdit&quot;,t,e._preGUI,f),n.set(r),c.nestedProperty(e,this.id+&quot;.camera&quot;).set(r)}return a},_.updateFx=function(t,e){var r=this.camera;if(r)if(&quot;orbit&quot;===t)r.mode=&quot;orbit&quot;,r.keyBindingMode=&quot;rotate&quot;;else if(&quot;turntable&quot;===t){r.up=[0,0,1],r.mode=&quot;turntable&quot;,r.keyBindingMode=&quot;rotate&quot;;var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)&lt;.999){var f=this.id+&quot;.camera.up&quot;,h={x:0,y:0,z:1},d={};d[f]=h;var p=n.layout;u.call(&quot;_storeDirectGUIEdit&quot;,p,i._preGUI,d),a.up=h,c.nestedProperty(p,f).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},_.toImage=function(t){t||(t=&quot;png&quot;),this.staticMode&amp;&amp;this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o&lt;s;++o,--s)for(var l=0;l&lt;r;++l)for(var u=0;u&lt;4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(&quot;canvas&quot;);f.width=r,f.height=i;var h,d=f.getContext(&quot;2d&quot;),p=d.createImageData(r,i);switch(p.data.set(a),d.putImageData(p,0,0),t){case&quot;jpeg&quot;:h=f.toDataURL(&quot;image/jpeg&quot;);break;case&quot;webp&quot;:h=f.toDataURL(&quot;image/webp&quot;);break;default:h=f.toDataURL(&quot;image/png&quot;)}return this.staticMode&amp;&amp;this.container.removeChild(n),h},_.setConvert=function(){for(var t=0;t&lt;3;t++){var e=this.fullSceneLayout[w[t]];f.setConvert(e,this.fullLayout),e.setScale=c.noop}},_.make4thDimension=function(){var t=this.graphDiv._fullLayout;this.mockAxis={type:&quot;linear&quot;,showexponent:&quot;all&quot;,exponentformat:&quot;B&quot;},f.setConvert(this.mockAxis,t)},e.exports=x},{&quot;../../components/fx&quot;:415,&quot;../../lib&quot;:495,&quot;../../lib/show_no_webgl_msg&quot;:515,&quot;../../lib/str2rgbarray&quot;:517,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../registry&quot;:592,&quot;./layout/convert&quot;:574,&quot;./layout/spikes&quot;:577,&quot;./layout/tick_marks&quot;:578,&quot;./project&quot;:579,&quot;gl-plot3d&quot;:142,&quot;has-passive-events&quot;:252,&quot;webgl-context&quot;:357}],581:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a&lt;n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],582:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./font_attributes&quot;),i=t(&quot;./animation_attributes&quot;),a=t(&quot;../components/color/attributes&quot;),o=t(&quot;../components/colorscale/layout_attributes&quot;),s=t(&quot;./pad_attributes&quot;),l=t(&quot;../lib/extend&quot;).extendFlat,u=n({editType:&quot;calc&quot;});u.family.dflt=&#x27;&quot;Open Sans&quot;, verdana, arial, sans-serif&#x27;,u.size.dflt=12,u.color.dflt=a.defaultLine,e.exports={font:u,title:{text:{valType:&quot;string&quot;,editType:&quot;layoutstyle&quot;},font:n({editType:&quot;layoutstyle&quot;}),xref:{valType:&quot;enumerated&quot;,dflt:&quot;container&quot;,values:[&quot;container&quot;,&quot;paper&quot;],editType:&quot;layoutstyle&quot;},yref:{valType:&quot;enumerated&quot;,dflt:&quot;container&quot;,values:[&quot;container&quot;,&quot;paper&quot;],editType:&quot;layoutstyle&quot;},x:{valType:&quot;number&quot;,min:0,max:1,dflt:.5,editType:&quot;layoutstyle&quot;},y:{valType:&quot;number&quot;,min:0,max:1,dflt:&quot;auto&quot;,editType:&quot;layoutstyle&quot;},xanchor:{valType:&quot;enumerated&quot;,dflt:&quot;auto&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],editType:&quot;layoutstyle&quot;},yanchor:{valType:&quot;enumerated&quot;,dflt:&quot;auto&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],editType:&quot;layoutstyle&quot;},pad:l(s({editType:&quot;layoutstyle&quot;}),{}),editType:&quot;layoutstyle&quot;},autosize:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;none&quot;},width:{valType:&quot;number&quot;,min:10,dflt:700,editType:&quot;plot&quot;},height:{valType:&quot;number&quot;,min:10,dflt:450,editType:&quot;plot&quot;},margin:{l:{valType:&quot;number&quot;,min:0,dflt:80,editType:&quot;plot&quot;},r:{valType:&quot;number&quot;,min:0,dflt:80,editType:&quot;plot&quot;},t:{valType:&quot;number&quot;,min:0,dflt:100,editType:&quot;plot&quot;},b:{valType:&quot;number&quot;,min:0,dflt:80,editType:&quot;plot&quot;},pad:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;plot&quot;},autoexpand:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},editType:&quot;plot&quot;},paper_bgcolor:{valType:&quot;color&quot;,dflt:a.background,editType:&quot;plot&quot;},plot_bgcolor:{valType:&quot;color&quot;,dflt:a.background,editType:&quot;layoutstyle&quot;},separators:{valType:&quot;string&quot;,editType:&quot;plot&quot;},hidesources:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;plot&quot;},showlegend:{valType:&quot;boolean&quot;,editType:&quot;legend&quot;},colorway:{valType:&quot;colorlist&quot;,dflt:a.defaults,editType:&quot;calc&quot;},colorscale:o,datarevision:{valType:&quot;any&quot;,editType:&quot;calc&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},editrevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},selectionrevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},template:{valType:&quot;any&quot;,editType:&quot;calc&quot;},modebar:{orientation:{valType:&quot;enumerated&quot;,values:[&quot;v&quot;,&quot;h&quot;],dflt:&quot;h&quot;,editType:&quot;modebar&quot;},bgcolor:{valType:&quot;color&quot;,editType:&quot;modebar&quot;},color:{valType:&quot;color&quot;,editType:&quot;modebar&quot;},activecolor:{valType:&quot;color&quot;,editType:&quot;modebar&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},editType:&quot;modebar&quot;},meta:{valType:&quot;data_array&quot;,editType:&quot;plot&quot;},transition:l({},i.transition,{editType:&quot;none&quot;}),_deprecated:{title:{valType:&quot;string&quot;,editType:&quot;layoutstyle&quot;},titlefont:n({editType:&quot;layoutstyle&quot;})}}},{&quot;../components/color/attributes&quot;:375,&quot;../components/colorscale/layout_attributes&quot;:389,&quot;../lib/extend&quot;:488,&quot;./animation_attributes&quot;:536,&quot;./font_attributes&quot;:567,&quot;./pad_attributes&quot;:583}],583:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.editType;return{t:{valType:&quot;number&quot;,dflt:0,editType:e},r:{valType:&quot;number&quot;,dflt:0,editType:e},b:{valType:&quot;number&quot;,dflt:0,editType:e},l:{valType:&quot;number&quot;,dflt:0,editType:e},editType:e}}},{}],584:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;../registry&quot;),o=t(&quot;../plot_api/plot_schema&quot;),s=t(&quot;../plot_api/plot_template&quot;),l=t(&quot;../lib&quot;),u=t(&quot;../components/color&quot;),c=t(&quot;../constants/numerical&quot;).BADNUM,f=t(&quot;../plots/cartesian/axis_ids&quot;),h=t(&quot;./animation_attributes&quot;),d=t(&quot;./frame_attributes&quot;),p=l.relinkPrivateKeys,g=l._,v=e.exports={};l.extendFlat(v,a),v.attributes=t(&quot;./attributes&quot;),v.attributes.type.values=v.allTypes,v.fontAttrs=t(&quot;./font_attributes&quot;),v.layoutAttributes=t(&quot;./layout_attributes&quot;),v.fontWeight=&quot;normal&quot;;var 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d=o[h];d[0][0].trace._module.plot(t,e,l.filterVisible(d),n)}e.traceHash=o}},{&quot;../components/color&quot;:376,&quot;../constants/numerical&quot;:475,&quot;../lib&quot;:495,&quot;../plot_api/plot_schema&quot;:530,&quot;../plot_api/plot_template&quot;:531,&quot;../plots/cartesian/axis_ids&quot;:544,&quot;../registry&quot;:592,&quot;./animation_attributes&quot;:536,&quot;./attributes&quot;:538,&quot;./command&quot;:565,&quot;./font_attributes&quot;:567,&quot;./frame_attributes&quot;:568,&quot;./layout_attributes&quot;:582,d3:81,&quot;fast-isnumeric&quot;:90}],585:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../traces/scatter/attributes&quot;),i=n.marker,a=t(&quot;../../../lib/extend&quot;).extendFlat;[&quot;Area traces are deprecated!&quot;,&quot;Please switch to the *barpolar* trace type.&quot;].join(&quot; &quot;);e.exports={r:a({},n.r,{}),t:a({},n.t,{}),marker:{color:a({},i.color,{}),size:a({},i.size,{}),symbol:a({},i.symbol,{}),opacity:a({},i.opacity,{}),editType:&quot;calc&quot;}}},{&quot;../../../lib/extend&quot;:488,&quot;../../../traces/scatter/attributes&quot;:616}],586:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../cartesian/layout_attributes&quot;),i=t(&quot;../../../lib/extend&quot;).extendFlat,a=t(&quot;../../../plot_api/edit_types&quot;).overrideAll,o=[&quot;Legacy polar charts are deprecated!&quot;,&quot;Please switch to *polar* subplots.&quot;].join(&quot; &quot;),s=i({},n.domain,{});function l(t,e){return i({},e,{showline:{valType:&quot;boolean&quot;},showticklabels:{valType:&quot;boolean&quot;},tickorientation:{valType:&quot;enumerated&quot;,values:[&quot;horizontal&quot;,&quot;vertical&quot;]},ticklen:{valType:&quot;number&quot;,min:0},tickcolor:{valType:&quot;color&quot;},ticksuffix:{valType:&quot;string&quot;},endpadding:{valType:&quot;number&quot;,description:o},visible:{valType:&quot;boolean&quot;}})}e.exports=a({radialaxis:l(0,{range:{valType:&quot;info_array&quot;,items:[{valType:&quot;number&quot;},{valType:&quot;number&quot;}]},domain:s,orientation:{valType:&quot;number&quot;}}),angularaxis:l(0,{range:{valType:&quot;info_array&quot;,items:[{valType:&quot;number&quot;,dflt:0},{valType:&quot;number&quot;,dflt:360}]},domain:s}),layout:{direction:{valType:&quot;enumerated&quot;,values:[&quot;clockwise&quot;,&quot;counterclockwise&quot;]},orientation:{valType:&quot;angle&quot;}}},&quot;plot&quot;,&quot;nested&quot;)},{&quot;../../../lib/extend&quot;:488,&quot;../../../plot_api/edit_types&quot;:524,&quot;../../cartesian/layout_attributes&quot;:553}],587:[function(t,e,r){&quot;use strict&quot;;(e.exports=t(&quot;./micropolar&quot;)).manager=t(&quot;./micropolar_manager&quot;)},{&quot;./micropolar&quot;:588,&quot;./micropolar_manager&quot;:589}],588:[function(t,e,r){var n=t(&quot;d3&quot;),i=t(&quot;../../../lib&quot;).extendDeepAll,a=t(&quot;../../../constants/alignment&quot;).MID_SHIFT,o=e.exports={version:&quot;0.2.2&quot;};o.Axis=function(){var t,e,r,s,l={data:[],layout:{}},u={},c={},f=n.dispatch(&quot;hover&quot;),h={};return h.render=function(u){return function(u){e=u||e;var f=l.data,h=l.layout;(&quot;string&quot;==typeof e||e.nodeName)&amp;&amp;(e=n.select(e)),e.datum(f).each(function(e,l){var u=e.slice();c={data:o.util.cloneJson(u),layout:o.util.cloneJson(h)};var f=0;u.forEach(function(t,e){t.color||(t.color=h.defaultColorRange[f],f=(f+1)%h.defaultColorRange.length),t.strokeColor||(t.strokeColor=&quot;LinePlot&quot;===t.geometry?t.color:n.rgb(t.color).darker().toString()),c.data[e].color=t.color,c.data[e].strokeColor=t.strokeColor,c.data[e].strokeDash=t.strokeDash,c.data[e].strokeSize=t.strokeSize});var d=u.filter(function(t,e){var r=t.visible;return&quot;undefined&quot;==typeof r||!0===r}),p=!1,g=d.map(function(t,e){return p=p||&quot;undefined&quot;!=typeof t.groupId,t});if(p){var v=n.nest().key(function(t,e){return&quot;undefined&quot;!=typeof t.groupId?t.groupId:&quot;unstacked&quot;}).entries(g),m=[],y=v.map(function(t,e){if(&quot;unstacked&quot;===t.key)return t.values;var r=t.values[0].r.map(function(t,e){return 0});return t.values.forEach(function(t,e,n){t.yStack=[r],m.push(r),r=o.util.sumArrays(t.r,r)}),t.values});d=n.merge(y)}d.forEach(function(t,e){t.t=Array.isArray(t.t[0])?t.t:[t.t],t.r=Array.isArray(t.r[0])?t.r:[t.r]});var b=Math.min(h.width-h.margin.left-h.margin.right,h.height-h.margin.top-h.margin.bottom)/2;b=Math.max(10,b);var x,_=[h.margin.left+b,h.margin.top+b];x=p?[0,n.max(o.util.sumArrays(o.util.arrayLast(d).r[0],o.util.arrayLast(m)))]:n.extent(o.util.flattenArray(d.map(function(t,e){return t.r}))),h.radialAxis.domain!=o.DATAEXTENT&amp;&amp;(x[0]=0),r=n.scale.linear().domain(h.radialAxis.domain!=o.DATAEXTENT&amp;&amp;h.radialAxis.domain?h.radialAxis.domain:x).range([0,b]),c.layout.radialAxis.domain=r.domain();var w,A=o.util.flattenArray(d.map(function(t,e){return t.t})),M=&quot;string&quot;==typeof A[0];M&amp;&amp;(A=o.util.deduplicate(A),w=A.slice(),A=n.range(A.length),d=d.map(function(t,e){var r=t;return t.t=[A],p&amp;&amp;(r.yStack=t.yStack),r}));var T=d.filter(function(t,e){return&quot;LinePlot&quot;===t.geometry||&quot;DotPlot&quot;===t.geometry}).length===d.length,k=null===h.needsEndSpacing?M||!T:h.needsEndSpacing,E=h.angularAxis.domain&amp;&amp;h.angularAxis.domain!=o.DATAEXTENT&amp;&amp;!M&amp;&amp;h.angularAxis.domain[0]&gt;=0?h.angularAxis.domain:n.extent(A),L=Math.abs(A[1]-A[0]);T&amp;&amp;!M&amp;&amp;(L=0);var S=E.slice();k&amp;&amp;M&amp;&amp;(S[1]+=L);var C=h.angularAxis.ticksCount||4;C&gt;8&amp;&amp;(C=C/(C/8)+C%8),h.angularAxis.ticksStep&amp;&amp;(C=(S[1]-S[0])/C);var O=h.angularAxis.ticksStep||(S[1]-S[0])/(C*(h.minorTicks+1));w&amp;&amp;(O=Math.max(Math.round(O),1)),S[2]||(S[2]=O);var R=n.range.apply(this,S);if(R=R.map(function(t,e){return parseFloat(t.toPrecision(12))}),s=n.scale.linear().domain(S.slice(0,2)).range(&quot;clockwise&quot;===h.direction?[0,360]:[360,0]),c.layout.angularAxis.domain=s.domain(),c.layout.angularAxis.endPadding=k?L:0,&quot;undefined&quot;==typeof(t=n.select(this).select(&quot;svg.chart-root&quot;))||t.empty()){var P=(new DOMParser).parseFromString(&quot;&lt;svg xmlns=&#x27;http://www.w3.org/2000/svg&#x27; class=&#x27;chart-root&#x27;&gt;&#x27; + &#x27;&lt;g class=&#x27;outer-group&#x27;&gt;&#x27; + &#x27;&lt;g class=&#x27;chart-group&#x27;&gt;&#x27; + &#x27;&lt;circle class=&#x27;background-circle&#x27;&gt;&lt;/circle&gt;&#x27; + &#x27;&lt;g class=&#x27;geometry-group&#x27;&gt;&lt;/g&gt;&#x27; + &#x27;&lt;g class=&#x27;radial axis-group&#x27;&gt;&#x27; + &#x27;&lt;circle class=&#x27;outside-circle&#x27;&gt;&lt;/circle&gt;&#x27; + &#x27;&lt;/g&gt;&#x27; + &#x27;&lt;g class=&#x27;angular axis-group&#x27;&gt;&lt;/g&gt;&#x27; + &#x27;&lt;g 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I,N=t.select(&quot;.chart-group&quot;),D={fill:&quot;none&quot;,stroke:h.tickColor},F={&quot;font-size&quot;:h.font.size,&quot;font-family&quot;:h.font.family,fill:h.font.color,&quot;text-shadow&quot;:[&quot;-1px 0px&quot;,&quot;1px -1px&quot;,&quot;-1px 1px&quot;,&quot;1px 1px&quot;].map(function(t,e){return&quot; &quot;+t+&quot; 0 &quot;+h.font.outlineColor}).join(&quot;,&quot;)};if(h.showLegend){I=t.select(&quot;.legend-group&quot;).attr({transform:&quot;translate(&quot;+[b,h.margin.top]+&quot;)&quot;}).style({display:&quot;block&quot;});var j=d.map(function(t,e){var r=o.util.cloneJson(t);return r.symbol=&quot;DotPlot&quot;===t.geometry?t.dotType||&quot;circle&quot;:&quot;LinePlot&quot;!=t.geometry?&quot;square&quot;:&quot;line&quot;,r.visibleInLegend=&quot;undefined&quot;==typeof t.visibleInLegend||t.visibleInLegend,r.color=&quot;LinePlot&quot;===t.geometry?t.strokeColor:t.color,r});o.Legend().config({data:d.map(function(t,e){return t.name||&quot;Element&quot;+e}),legendConfig:i({},o.Legend.defaultConfig().legendConfig,{container:I,elements:j,reverseOrder:h.legend.reverseOrder})})();var B=I.node().getBBox();b=Math.min(h.width-B.width-h.margin.left-h.margin.right,h.height-h.margin.top-h.margin.bottom)/2,b=Math.max(10,b),_=[h.margin.left+b,h.margin.top+b],r.range([0,b]),c.layout.radialAxis.domain=r.domain(),I.attr(&quot;transform&quot;,&quot;translate(&quot;+[_[0]+b,_[1]-b]+&quot;)&quot;)}else I=t.select(&quot;.legend-group&quot;).style({display:&quot;none&quot;});t.attr({width:h.width,height:h.height}).style({opacity:h.opacity}),N.attr(&quot;transform&quot;,&quot;translate(&quot;+_+&quot;)&quot;).style({cursor:&quot;crosshair&quot;});var U=[(h.width-(h.margin.left+h.margin.right+2*b+(B?B.width:0)))/2,(h.height-(h.margin.top+h.margin.bottom+2*b))/2];if(U[0]=Math.max(0,U[0]),U[1]=Math.max(0,U[1]),t.select(&quot;.outer-group&quot;).attr(&quot;transform&quot;,&quot;translate(&quot;+U+&quot;)&quot;),h.title&amp;&amp;h.title.text){var V=t.select(&quot;g.title-group text&quot;).style(F).text(h.title.text),H=V.node().getBBox();V.attr({x:_[0]-H.width/2,y:_[1]-b-20})}var q=t.select(&quot;.radial.axis-group&quot;);if(h.radialAxis.gridLinesVisible){var G=q.selectAll(&quot;circle.grid-circle&quot;).data(r.ticks(5));G.enter().append(&quot;circle&quot;).attr({class:&quot;grid-circle&quot;}).style(D),G.attr(&quot;r&quot;,r),G.exit().remove()}q.select(&quot;circle.outside-circle&quot;).attr({r:b}).style(D);var X=t.select(&quot;circle.background-circle&quot;).attr({r:b}).style({fill:h.backgroundColor,stroke:h.stroke});function W(t,e){return s(t)%360+h.orientation}if(h.radialAxis.visible){var Y=n.svg.axis().scale(r).ticks(5).tickSize(5);q.call(Y).attr({transform:&quot;rotate(&quot;+h.radialAxis.orientation+&quot;)&quot;}),q.selectAll(&quot;.domain&quot;).style(D),q.selectAll(&quot;g&gt;text&quot;).text(function(t,e){return this.textContent+h.radialAxis.ticksSuffix}).style(F).style({&quot;text-anchor&quot;:&quot;start&quot;}).attr({x:0,y:0,dx:0,dy:0,transform:function(t,e){return&quot;horizontal&quot;===h.radialAxis.tickOrientation?&quot;rotate(&quot;+-h.radialAxis.orientation+&quot;) translate(&quot;+[0,F[&quot;font-size&quot;]]+&quot;)&quot;:&quot;translate(&quot;+[0,F[&quot;font-size&quot;]]+&quot;)&quot;}}),q.selectAll(&quot;g&gt;line&quot;).style({stroke:&quot;black&quot;})}var Z=t.select(&quot;.angular.axis-group&quot;).selectAll(&quot;g.angular-tick&quot;).data(R),Q=Z.enter().append(&quot;g&quot;).classed(&quot;angular-tick&quot;,!0);Z.attr({transform:function(t,e){return&quot;rotate(&quot;+W(t)+&quot;)&quot;}}).style({display:h.angularAxis.visible?&quot;block&quot;:&quot;none&quot;}),Z.exit().remove(),Q.append(&quot;line&quot;).classed(&quot;grid-line&quot;,!0).classed(&quot;major&quot;,function(t,e){return e%(h.minorTicks+1)==0}).classed(&quot;minor&quot;,function(t,e){return!(e%(h.minorTicks+1)==0)}).style(D),Q.selectAll(&quot;.minor&quot;).style({stroke:h.minorTickColor}),Z.select(&quot;line.grid-line&quot;).attr({x1:h.tickLength?b-h.tickLength:0,x2:b}).style({display:h.angularAxis.gridLinesVisible?&quot;block&quot;:&quot;none&quot;}),Q.append(&quot;text&quot;).classed(&quot;axis-text&quot;,!0).style(F);var $=Z.select(&quot;text.axis-text&quot;).attr({x:b+h.labelOffset,dy:a+&quot;em&quot;,transform:function(t,e){var r=W(t),n=b+h.labelOffset,i=h.angularAxis.tickOrientation;return&quot;horizontal&quot;==i?&quot;rotate(&quot;+-r+&quot; &quot;+n+&quot; 0)&quot;:&quot;radial&quot;==i?r&lt;270&amp;&amp;r&gt;90?&quot;rotate(180 &quot;+n+&quot; 0)&quot;:null:&quot;rotate(&quot;+(r&lt;=180&amp;&amp;r&gt;0?-90:90)+&quot; &quot;+n+&quot; 0)&quot;}}).style({&quot;text-anchor&quot;:&quot;middle&quot;,display:h.angularAxis.labelsVisible?&quot;block&quot;:&quot;none&quot;}).text(function(t,e){return e%(h.minorTicks+1)!=0?&quot;&quot;:w?w[t]+h.angularAxis.ticksSuffix:t+h.angularAxis.ticksSuffix}).style(F);h.angularAxis.rewriteTicks&amp;&amp;$.text(function(t,e){return e%(h.minorTicks+1)!=0?&quot;&quot;:h.angularAxis.rewriteTicks(this.textContent,e)});var J=n.max(N.selectAll(&quot;.angular-tick text&quot;)[0].map(function(t,e){return t.getCTM().e+t.getBBox().width}));I.attr({transform:&quot;translate(&quot;+[b+J,h.margin.top]+&quot;)&quot;});var K=t.select(&quot;g.geometry-group&quot;).selectAll(&quot;g&quot;).size()&gt;0,tt=t.select(&quot;g.geometry-group&quot;).selectAll(&quot;g.geometry&quot;).data(d);if(tt.enter().append(&quot;g&quot;).attr({class:function(t,e){return&quot;geometry geometry&quot;+e}}),tt.exit().remove(),d[0]||K){var et=[];d.forEach(function(t,e){var n={};n.radialScale=r,n.angularScale=s,n.container=tt.filter(function(t,r){return r==e}),n.geometry=t.geometry,n.orientation=h.orientation,n.direction=h.direction,n.index=e,et.push({data:t,geometryConfig:n})});var rt=n.nest().key(function(t,e){return&quot;undefined&quot;!=typeof t.data.groupId||&quot;unstacked&quot;}).entries(et),nt=[];rt.forEach(function(t,e){&quot;unstacked&quot;===t.key?nt=nt.concat(t.values.map(function(t,e){return[t]})):nt.push(t.values)}),nt.forEach(function(t,e){var r;r=Array.isArray(t)?t[0].geometryConfig.geometry:t.geometryConfig.geometry;var n=t.map(function(t,e){return i(o[r].defaultConfig(),t)});o[r]().config(n)()})}var it,at,ot=t.select(&quot;.guides-group&quot;),st=t.select(&quot;.tooltips-group&quot;),lt=o.tooltipPanel().config({container:st,fontSize:8})(),ut=o.tooltipPanel().config({container:st,fontSize:8})(),ct=o.tooltipPanel().config({container:st,hasTick:!0})();if(!M){var ft=ot.select(&quot;line&quot;).attr({x1:0,y1:0,y2:0}).style({stroke:&quot;grey&quot;,&quot;pointer-events&quot;:&quot;none&quot;});N.on(&quot;mousemove.angular-guide&quot;,function(t,e){var r=o.util.getMousePos(X).angle;ft.attr({x2:-b,transform:&quot;rotate(&quot;+r+&quot;)&quot;}).style({opacity:.5});var n=(r+180+360-h.orientation)%360;it=s.invert(n);var i=o.util.convertToCartesian(b+12,r+180);lt.text(o.util.round(it)).move([i[0]+_[0],i[1]+_[1]])}).on(&quot;mouseout.angular-guide&quot;,function(t,e){ot.select(&quot;line&quot;).style({opacity:0})})}var ht=ot.select(&quot;circle&quot;).style({stroke:&quot;grey&quot;,fill:&quot;none&quot;});N.on(&quot;mousemove.radial-guide&quot;,function(t,e){var n=o.util.getMousePos(X).radius;ht.attr({r:n}).style({opacity:.5}),at=r.invert(o.util.getMousePos(X).radius);var i=o.util.convertToCartesian(n,h.radialAxis.orientation);ut.text(o.util.round(at)).move([i[0]+_[0],i[1]+_[1]])}).on(&quot;mouseout.radial-guide&quot;,function(t,e){ht.style({opacity:0}),ct.hide(),lt.hide(),ut.hide()}),t.selectAll(&quot;.geometry-group .mark&quot;).on(&quot;mouseover.tooltip&quot;,function(e,r){var i=n.select(this),a=this.style.fill,s=&quot;black&quot;,l=this.style.opacity||1;if(i.attr({&quot;data-opacity&quot;:l}),a&amp;&amp;&quot;none&quot;!==a){i.attr({&quot;data-fill&quot;:a}),s=n.hsl(a).darker().toString(),i.style({fill:s,opacity:1});var u={t:o.util.round(e[0]),r:o.util.round(e[1])};M&amp;&amp;(u.t=w[e[0]]);var c=&quot;t: &quot;+u.t+&quot;, r: &quot;+u.r,f=this.getBoundingClientRect(),h=t.node().getBoundingClientRect(),d=[f.left+f.width/2-U[0]-h.left,f.top+f.height/2-U[1]-h.top];ct.config({color:s}).text(c),ct.move(d)}else 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n.sum(t)})},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- &gt;=0&amp;&amp;t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter(function(t,e,r){return r.indexOf(t)==e})},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],i=e[1],a={};return a.x=r,a.y=i,a.pos=e,a.angle=180*(Math.atan2(i,r)+Math.PI)/Math.PI,a.radius=Math.sqrt(r*r+i*i),a},o.util.duplicatesCount=function(t){for(var e,r={},n={},i=0,a=t.length;i&lt;a;i++)(e=t[i])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var i=r.slice();r=e,e=i}var a=e.reduce(function(t,e){if(&quot;undefined&quot;!=typeof t)return t[e]},t);&quot;undefined&quot;!=typeof a&amp;&amp;(e.reduce(function(t,r,n){if(&quot;undefined&quot;!=typeof t)return n===e.length-1&amp;&amp;delete t[r],t[r]},t),r.reduce(function(t,e,n){return&quot;undefined&quot;==typeof t[e]&amp;&amp;(t[e]={}),n===r.length-1&amp;&amp;(t[e]=a),t[e]},t))},o.PolyChart=function(){var t=[o.PolyChart.defaultConfig()],e=n.dispatch(&quot;hover&quot;),r={solid:&quot;none&quot;,dash:[5,2],dot:[2,5]};function a(){var e=t[0].geometryConfig,i=e.container;&quot;string&quot;==typeof i&amp;&amp;(i=n.select(i)),i.datum(t).each(function(t,i){var a=!!t[0].data.yStack,o=t.map(function(t,e){return a?n.zip(t.data.t[0],t.data.r[0],t.data.yStack[0]):n.zip(t.data.t[0],t.data.r[0])}),s=e.angularScale,l=e.radialScale.domain()[0],u={bar:function(r,i,a){var o=t[a].data,l=e.radialScale(r[1])-e.radialScale(0),u=e.radialScale(r[2]||0),c=o.barWidth;n.select(this).attr({class:&quot;mark 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s=r[2]?o[a].map(function(t,e){return[t[0],t[1]+t[2]]}):o[a];if(n.select(this).each(u.dot).style({opacity:function(e,r){return+t[a].data.dotVisible},fill:p.stroke(r,i,a)}).attr({class:&quot;mark dot&quot;}),!(i&gt;0)){var l=n.select(this.parentNode).selectAll(&quot;path.line&quot;).data([0]);l.enter().insert(&quot;path&quot;),l.attr({class:&quot;line&quot;,d:c(s),transform:function(t,r){return&quot;rotate(&quot;+(e.orientation+90)+&quot;)&quot;},&quot;pointer-events&quot;:&quot;none&quot;}).style({fill:function(t,e){return p.fill(r,i,a)},&quot;fill-opacity&quot;:0,stroke:function(t,e){return p.stroke(r,i,a)},&quot;stroke-width&quot;:function(t,e){return p[&quot;stroke-width&quot;](r,i,a)},&quot;stroke-dasharray&quot;:function(t,e){return p[&quot;stroke-dasharray&quot;](r,i,a)},opacity:function(t,e){return p.opacity(r,i,a)},display:function(t,e){return p.display(r,i,a)}})}};var f=e.angularScale.range(),h=Math.abs(f[1]-f[0])/o[0].length*Math.PI/180,d=n.svg.arc().startAngle(function(t){return-h/2}).endAngle(function(t){return h/2}).innerRadius(function(t){return e.radialScale(l+(t[2]||0))}).outerRadius(function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])});u.arc=function(t,r,i){n.select(this).attr({class:&quot;mark arc&quot;,d:d,transform:function(t,r){return&quot;rotate(&quot;+(e.orientation+s(t[0])+90)+&quot;)&quot;}})};var p={fill:function(e,r,n){return t[n].data.color},stroke:function(e,r,n){return t[n].data.strokeColor},&quot;stroke-width&quot;:function(e,r,n){return t[n].data.strokeSize+&quot;px&quot;},&quot;stroke-dasharray&quot;:function(e,n,i){return r[t[i].data.strokeDash]},opacity:function(e,r,n){return t[n].data.opacity},display:function(e,r,n){return&quot;undefined&quot;==typeof 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arguments.length?(e.forEach(function(e,r){t[r]||(t[r]={}),i(t[r],o.PolyChart.defaultConfig()),i(t[r],e)}),this):t},a.getColorScale=function(){},n.rebind(a,e,&quot;on&quot;),a},o.PolyChart.defaultConfig=function(){return{data:{name:&quot;geom1&quot;,t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:&quot;circle&quot;,dotSize:64,dotVisible:!1,barWidth:20,color:&quot;#ffa500&quot;,strokeSize:1,strokeColor:&quot;silver&quot;,strokeDash:&quot;solid&quot;,opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:&quot;LinePlot&quot;,geometryType:&quot;arc&quot;,direction:&quot;clockwise&quot;,orientation:0,container:&quot;body&quot;,radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:&quot;bar&quot;}}},o.AreaChart=function(){return 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a=3*(i=u),&quot;line&quot;===(r=o)?&quot;M&quot;+[[-i/2,-i/12],[i/2,-i/12],[i/2,i/12],[-i/2,i/12]]+&quot;Z&quot;:-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(a)():n.svg.symbol().type(&quot;square&quot;).size(a)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var b=n.svg.axis().scale(v).orient(&quot;right&quot;),x=h.select(&quot;g.legend-axis&quot;).attr({transform:&quot;translate(&quot;+[c?e.colorBandWidth:u,u/2]+&quot;)&quot;}).call(b);return x.selectAll(&quot;.domain&quot;).style({fill:&quot;none&quot;,stroke:&quot;none&quot;}),x.selectAll(&quot;line&quot;).style({fill:&quot;none&quot;,stroke:c?e.textColor:&quot;none&quot;}),x.selectAll(&quot;text&quot;).style({fill:e.textColor,&quot;font-size&quot;:e.fontSize}).text(function(t,e){return o[e].name}),r}return r.config=function(e){return arguments.length?(i(t,e),this):t},n.rebind(r,e,&quot;on&quot;),r},o.Legend.defaultConfig=function(t,e){return{data:[&quot;a&quot;,&quot;b&quot;,&quot;c&quot;],legendConfig:{elements:[{symbol:&quot;line&quot;,color:&quot;red&quot;},{symbol:&quot;square&quot;,color:&quot;yellow&quot;},{symbol:&quot;diamond&quot;,color:&quot;limegreen&quot;}],height:150,colorBandWidth:30,fontSize:12,container:&quot;body&quot;,isContinuous:null,textColor:&quot;grey&quot;,reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,a={container:null,hasTick:!1,fontSize:12,color:&quot;white&quot;,padding:5},s=&quot;tooltip-&quot;+o.tooltipPanel.uid++,l=10,u=function(){var n=(t=a.container.selectAll(&quot;g.&quot;+s).data([0])).enter().append(&quot;g&quot;).classed(s,!0).style({&quot;pointer-events&quot;:&quot;none&quot;,display:&quot;none&quot;});return r=n.append(&quot;path&quot;).style({fill:&quot;white&quot;,&quot;fill-opacity&quot;:.9}).attr({d:&quot;M0 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t.style({display:&quot;block&quot;}),u},u.config=function(t){return i(a,t),u},u},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&amp;&amp;(r.data=t.data.map(function(t,r){var n=i({},t);return[[n,[&quot;marker&quot;,&quot;color&quot;],[&quot;color&quot;]],[n,[&quot;marker&quot;,&quot;opacity&quot;],[&quot;opacity&quot;]],[n,[&quot;marker&quot;,&quot;line&quot;,&quot;color&quot;],[&quot;strokeColor&quot;]],[n,[&quot;marker&quot;,&quot;line&quot;,&quot;dash&quot;],[&quot;strokeDash&quot;]],[n,[&quot;marker&quot;,&quot;line&quot;,&quot;width&quot;],[&quot;strokeSize&quot;]],[n,[&quot;marker&quot;,&quot;symbol&quot;],[&quot;dotType&quot;]],[n,[&quot;marker&quot;,&quot;size&quot;],[&quot;dotSize&quot;]],[n,[&quot;marker&quot;,&quot;barWidth&quot;],[&quot;barWidth&quot;]],[n,[&quot;line&quot;,&quot;interpolation&quot;],[&quot;lineInterpolation&quot;]],[n,[&quot;showlegend&quot;],[&quot;visibleInLegend&quot;]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e||delete n.marker,e&amp;&amp;delete n.groupId,e?(&quot;LinePlot&quot;===n.geometry?(n.type=&quot;scatter&quot;,!0===n.dotVisible?(delete n.dotVisible,n.mode=&quot;lines+markers&quot;):n.mode=&quot;lines&quot;):&quot;DotPlot&quot;===n.geometry?(n.type=&quot;scatter&quot;,n.mode=&quot;markers&quot;):&quot;AreaChart&quot;===n.geometry?n.type=&quot;area&quot;:&quot;BarChart&quot;===n.geometry&amp;&amp;(n.type=&quot;bar&quot;),delete n.geometry):(&quot;scatter&quot;===n.type?&quot;lines&quot;===n.mode?n.geometry=&quot;LinePlot&quot;:&quot;markers&quot;===n.mode?n.geometry=&quot;DotPlot&quot;:&quot;lines+markers&quot;===n.mode&amp;&amp;(n.geometry=&quot;LinePlot&quot;,n.dotVisible=!0):&quot;area&quot;===n.type?n.geometry=&quot;AreaChart&quot;:&quot;bar&quot;===n.type&amp;&amp;(n.geometry=&quot;BarChart&quot;),delete n.mode,delete n.type),n}),!e&amp;&amp;t.layout&amp;&amp;&quot;stack&quot;===t.layout.barmode)){var a=o.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var n=a.indexOf(t.geometry);-1!=n&amp;&amp;(r.data[e].groupId=n)})}if(t.layout){var s=i({},t.layout);if([[s,[&quot;plot_bgcolor&quot;],[&quot;backgroundColor&quot;]],[s,[&quot;showlegend&quot;],[&quot;showLegend&quot;]],[s,[&quot;radialaxis&quot;],[&quot;radialAxis&quot;]],[s,[&quot;angularaxis&quot;],[&quot;angularAxis&quot;]],[s.angularaxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.angularaxis,[&quot;showticklabels&quot;],[&quot;labelsVisible&quot;]],[s.angularaxis,[&quot;nticks&quot;],[&quot;ticksCount&quot;]],[s.angularaxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.angularaxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.angularaxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.angularaxis,[&quot;endpadding&quot;],[&quot;endPadding&quot;]],[s.radialaxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.radialaxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.radialaxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.radialaxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.angularAxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.angularAxis,[&quot;showticklabels&quot;],[&quot;labelsVisible&quot;]],[s.angularAxis,[&quot;nticks&quot;],[&quot;ticksCount&quot;]],[s.angularAxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.angularAxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.angularAxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.angularAxis,[&quot;endpadding&quot;],[&quot;endPadding&quot;]],[s.radialAxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.radialAxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.radialAxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.radialAxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.font,[&quot;outlinecolor&quot;],[&quot;outlineColor&quot;]],[s.legend,[&quot;traceorder&quot;],[&quot;reverseOrder&quot;]],[s,[&quot;labeloffset&quot;],[&quot;labelOffset&quot;]],[s,[&quot;defaultcolorrange&quot;],[&quot;defaultColorRange&quot;]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(&quot;undefined&quot;!=typeof s.tickLength&amp;&amp;(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&amp;&amp;(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&amp;&amp;&quot;undefined&quot;!=typeof s.angularAxis.ticklen&amp;&amp;(s.tickLength=s.angularAxis.ticklen),s.angularAxis&amp;&amp;&quot;undefined&quot;!=typeof s.angularAxis.tickcolor&amp;&amp;(s.tickColor=s.angularAxis.tickcolor)),s.legend&amp;&amp;&quot;boolean&quot;!=typeof s.legend.reverseOrder&amp;&amp;(s.legend.reverseOrder=&quot;normal&quot;!=s.legend.reverseOrder),s.legend&amp;&amp;&quot;boolean&quot;==typeof s.legend.traceorder&amp;&amp;(s.legend.traceorder=s.legend.traceorder?&quot;reversed&quot;:&quot;normal&quot;,delete s.legend.reverseOrder),s.margin&amp;&amp;&quot;undefined&quot;!=typeof s.margin.t){var l=[&quot;t&quot;,&quot;r&quot;,&quot;b&quot;,&quot;l&quot;,&quot;pad&quot;],u=[&quot;top&quot;,&quot;right&quot;,&quot;bottom&quot;,&quot;left&quot;,&quot;pad&quot;],c={};n.entries(s.margin).forEach(function(t,e){c[u[l.indexOf(t.key)]]=t.value}),s.margin=c}e&amp;&amp;(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{&quot;../../../constants/alignment&quot;:471,&quot;../../../lib&quot;:495,d3:81}],589:[function(t,e,r){&quot;use strict&quot;;var 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c=r[u],f=i[u],h=a[u],d=Math.sqrt(c*c+f*f+h*h);s=Math.max(s,d),l=Math.min(l,d)}e._len=o,e._normMax=s,n(t,e,{vals:[l,s],containerStr:&quot;&quot;,cLetter:&quot;c&quot;})}},{&quot;../../components/colorscale/calc&quot;:384}],603:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-cone3d&quot;),i=t(&quot;gl-cone3d&quot;).createConeMesh,a=t(&quot;../../lib&quot;).simpleMap,o=t(&quot;../../lib/gl_format_color&quot;).parseColorScale,s=t(&quot;../../plots/gl3d/zip3&quot;);function l(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var u=l.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index,r=this.data.x[e],n=this.data.y[e],i=this.data.z[e],a=this.data.u[e],o=this.data.v[e],s=this.data.w[e];t.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return Array.isArray(l)&amp;&amp;void 0!==l[e]?t.textLabel=l[e]:l&amp;&amp;(t.textLabel=l),!0}};var c={xaxis:0,yaxis:1,zaxis:2},f={tip:1,tail:0,cm:.25,center:.5},h={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,l={};function u(t,e){var n=r[e],o=i[c[e]];return a(t,function(t){return n.d2l(t)*o})}l.vectors=s(u(e.u,&quot;xaxis&quot;),u(e.v,&quot;yaxis&quot;),u(e.w,&quot;zaxis&quot;),e._len),l.positions=s(u(e.x,&quot;xaxis&quot;),u(e.y,&quot;yaxis&quot;),u(e.z,&quot;zaxis&quot;),e._len),l.colormap=o(e),l.vertexIntensityBounds=[e.cmin/e._normMax,e.cmax/e._normMax],l.coneOffset=f[e.anchor],&quot;scaled&quot;===e.sizemode?l.coneSize=e.sizeref||.5:l.coneSize=e.sizeref&amp;&amp;e._normMax?e.sizeref/e._normMax:.5;var d=n(l),p=e.lightposition;return d.lightPosition=[p.x,p.y,p.z],d.ambient=e.lighting.ambient,d.diffuse=e.lighting.diffuse,d.specular=e.lighting.specular,d.roughness=e.lighting.roughness,d.fresnel=e.lighting.fresnel,d.opacity=e.opacity,e._pad=h[e.anchor]*d.vectorScale*d.coneScale*e._normMax,d}u.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new l(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../plots/gl3d/zip3&quot;:581,&quot;gl-cone3d&quot;:104}],604:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../components/colorscale/defaults&quot;),a=t(&quot;./attributes&quot;);e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var 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n=t(&quot;../../components/colorscale/attributes&quot;),i=t(&quot;../../components/colorbar/attributes&quot;),a=t(&quot;../../components/fx/hovertemplate_attributes&quot;),o=t(&quot;../surface/attributes&quot;),s=t(&quot;../../plots/attributes&quot;),l=t(&quot;../../lib/extend&quot;).extendFlat;e.exports=l({x:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},y:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},z:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},i:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},j:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},k:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;calc&quot;},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;calc&quot;},hovertemplate:a({editType:&quot;calc&quot;}),delaunayaxis:{valType:&quot;enumerated&quot;,values:[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],dflt:&quot;z&quot;,editType:&quot;calc&quot;},alphahull:{valType:&quot;number&quot;,dflt:-1,editType:&quot;calc&quot;},intensity:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},color:{valType:&quot;color&quot;,editType:&quot;calc&quot;},vertexcolor:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},facecolor:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},transforms:void 0},n(&quot;&quot;,{colorAttr:&quot;`intensity`&quot;,showScaleDflt:!0,editTypeOverride:&quot;calc&quot;}),{colorbar:i,opacity:o.opacity,flatshading:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;calc&quot;},contour:{show:l({},o.contours.x.show,{}),color:o.contours.x.color,width:o.contours.x.width,editType:&quot;calc&quot;},lightposition:{x:l({},o.lightposition.x,{dflt:1e5}),y:l({},o.lightposition.y,{dflt:1e5}),z:l({},o.lightposition.z,{dflt:0}),editType:&quot;calc&quot;},lighting:l({vertexnormalsepsilon:{valType:&quot;number&quot;,min:0,max:1,dflt:1e-12,editType:&quot;calc&quot;},facenormalsepsilon:{valType:&quot;number&quot;,min:0,max:1,dflt:1e-6,editType:&quot;calc&quot;},editType:&quot;calc&quot;},o.lighting),hoverinfo:l({},s.hoverinfo,{editType:&quot;calc&quot;})})},{&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plots/attributes&quot;:538,&quot;../surface/attributes&quot;:654}],609:[function(t,e,r){&quot;use 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r=t.length,n=0;n&lt;r;n++)if(t[n]&lt;=-.5||t[n]&gt;=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&amp;&amp;void 0!==r[e]?t.textLabel=r[e]:r&amp;&amp;(t.textLabel=r),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,c=t.x.length,f=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&amp;&amp;t.j&amp;&amp;t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,c)||!g(t.j,c)||!g(t.k,c))return;n=u(p(t.i),p(t.j),p(t.k))}else n=0===t.alphahull?o(f):t.alphahull&gt;0?a(t.alphahull,f):function(t,e){for(var r=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;].indexOf(t),n=[],a=e.length,o=0;o&lt;a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,f);var v={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};t.intensity?(this.color=&quot;#fff&quot;,v.vertexIntensity=t.intensity,v.vertexIntensityBounds=[t.cmin,t.cmax],v.colormap=s(t)):t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=h(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=h(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color)),this.mesh.update(v)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new c(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{&quot;../../lib/gl_format_color&quot;:493,&quot;../../lib/str2rgbarray&quot;:517,&quot;../../plots/gl3d/zip3&quot;:581,&quot;alpha-shape&quot;:15,&quot;convex-hull&quot;:72,&quot;delaunay-triangulate&quot;:83,&quot;gl-mesh3d&quot;:139}],611:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../components/colorscale/defaults&quot;),o=t(&quot;./attributes&quot;);e.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function u(t){var e=t.map(function(t){var e=l(t);return e&amp;&amp;i.isArrayOrTypedArray(e)?e:null});return e.every(function(t){return 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n={};n.attributes=t(&quot;./attributes&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.calc=t(&quot;./calc&quot;),n.colorbar={min:&quot;cmin&quot;,max:&quot;cmax&quot;},n.plot=t(&quot;./convert&quot;),n.moduleType=&quot;trace&quot;,n.name=&quot;mesh3d&quot;,n.basePlotModule=t(&quot;../../plots/gl3d&quot;),n.categories=[&quot;gl3d&quot;],n.meta={},e.exports=n},{&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:608,&quot;./calc&quot;:609,&quot;./convert&quot;:610,&quot;./defaults&quot;:611}],613:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(&quot;.&quot;)&amp;&amp;(r=r.replace(/[.]?0+$/,&quot;&quot;)),n.numSeparate(r,e)+&quot;%&quot;},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(&quot;.&quot;)&amp;&amp;(r=r.replace(/[.]?0+$/,&quot;&quot;)),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r&lt;e.length;r++){var n=t[e[r]];if(n||0===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{&quot;../../lib&quot;:495}],614:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;./helpers&quot;).castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style({&quot;stroke-width&quot;:s}).call(n.fill,e.color).call(n.stroke,o)}},{&quot;../../components/color&quot;:376,&quot;./helpers&quot;:613}],615:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e){for(var r=0;r&lt;t.length;r++)t[r].i=r;n.mergeArray(e.text,t,&quot;tx&quot;),n.mergeArray(e.hovertext,t,&quot;htx&quot;),n.mergeArray(e.customdata,t,&quot;data&quot;),n.mergeArray(e.textposition,t,&quot;tp&quot;),e.textfont&amp;&amp;(n.mergeArray(e.textfont.size,t,&quot;ts&quot;),n.mergeArray(e.textfont.color,t,&quot;tc&quot;),n.mergeArray(e.textfont.family,t,&quot;tf&quot;));var i=e.marker;if(i){n.mergeArray(i.size,t,&quot;ms&quot;),n.mergeArray(i.opacity,t,&quot;mo&quot;),n.mergeArray(i.symbol,t,&quot;mx&quot;),n.mergeArray(i.color,t,&quot;mc&quot;);var a=i.line;i.line&amp;&amp;(n.mergeArray(a.color,t,&quot;mlc&quot;),n.mergeArray(a.width,t,&quot;mlw&quot;));var o=i.gradient;o&amp;&amp;&quot;none&quot;!==o.type&amp;&amp;(n.mergeArray(o.type,t,&quot;mgt&quot;),n.mergeArray(o.color,t,&quot;mgc&quot;))}}},{&quot;../../lib&quot;:495}],616:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/fx/hovertemplate_attributes&quot;),i=t(&quot;../../components/colorscale/attributes&quot;),a=t(&quot;../../components/colorbar/attributes&quot;),o=t(&quot;../../plots/font_attributes&quot;),s=t(&quot;../../components/drawing/attributes&quot;).dash,l=t(&quot;../../components/drawing&quot;),u=t(&quot;./constants&quot;),c=t(&quot;../../lib/extend&quot;).extendFlat;e.exports={x:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},x0:{valType:&quot;any&quot;,dflt:0,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},dx:{valType:&quot;number&quot;,dflt:1,editType:&quot;calc&quot;,anim:!0},y:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},y0:{valType:&quot;any&quot;,dflt:0,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},dy:{valType:&quot;number&quot;,dflt:1,editType:&quot;calc&quot;,anim:!0},stackgroup:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;calc&quot;},orientation:{valType:&quot;enumerated&quot;,values:[&quot;v&quot;,&quot;h&quot;],editType:&quot;calc&quot;},groupnorm:{valType:&quot;enumerated&quot;,values:[&quot;&quot;,&quot;fraction&quot;,&quot;percent&quot;],dflt:&quot;&quot;,editType:&quot;calc&quot;},stackgaps:{valType:&quot;enumerated&quot;,values:[&quot;infer 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zero&quot;,editType:&quot;calc&quot;},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;calc&quot;},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;style&quot;},mode:{valType:&quot;flaglist&quot;,flags:[&quot;lines&quot;,&quot;markers&quot;,&quot;text&quot;],extras:[&quot;none&quot;],editType:&quot;calc&quot;},hoveron:{valType:&quot;flaglist&quot;,flags:[&quot;points&quot;,&quot;fills&quot;],editType:&quot;style&quot;},hovertemplate:n({},{keys:u.eventDataKeys}),line:{color:{valType:&quot;color&quot;,editType:&quot;style&quot;,anim:!0},width:{valType:&quot;number&quot;,min:0,dflt:2,editType:&quot;style&quot;,anim:!0},shape:{valType:&quot;enumerated&quot;,values:[&quot;linear&quot;,&quot;spline&quot;,&quot;hv&quot;,&quot;vh&quot;,&quot;hvh&quot;,&quot;vhv&quot;],dflt:&quot;linear&quot;,editType:&quot;plot&quot;},smoothing:{valType:&quot;number&quot;,min:0,max:1.3,dflt:1,editType:&quot;plot&quot;},dash:c({},s,{editType:&quot;style&quot;}),simplify:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},editType:&quot;plot&quot;},connectgaps:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;calc&quot;},cliponaxis:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},fill:{valType:&quot;enumerated&quot;,values:[&quot;none&quot;,&quot;tozeroy&quot;,&quot;tozerox&quot;,&quot;tonexty&quot;,&quot;tonextx&quot;,&quot;toself&quot;,&quot;tonext&quot;],editType:&quot;calc&quot;},fillcolor:{valType:&quot;color&quot;,editType:&quot;style&quot;,anim:!0},marker:c({symbol:{valType:&quot;enumerated&quot;,values:l.symbolList,dflt:&quot;circle&quot;,arrayOk:!0,editType:&quot;style&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,arrayOk:!0,editType:&quot;style&quot;,anim:!0},size:{valType:&quot;number&quot;,min:0,dflt:6,arrayOk:!0,editType:&quot;calc&quot;,anim:!0},maxdisplayed:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;plot&quot;},sizeref:{valType:&quot;number&quot;,dflt:1,editType:&quot;calc&quot;},sizemin:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;calc&quot;},sizemode:{valType:&quot;enumerated&quot;,values:[&quot;diameter&quot;,&quot;area&quot;],dflt:&quot;diameter&quot;,editType:&quot;calc&quot;},colorbar:a,line:c({width:{valType:&quot;number&quot;,min:0,arrayOk:!0,editType:&quot;style&quot;,anim:!0},editType:&quot;calc&quot;},i(&quot;marker.line&quot;,{anim:!0})),gradient:{type:{valType:&quot;enumerated&quot;,values:[&quot;radial&quot;,&quot;horizontal&quot;,&quot;vertical&quot;,&quot;none&quot;],arrayOk:!0,dflt:&quot;none&quot;,editType:&quot;calc&quot;},color:{valType:&quot;color&quot;,arrayOk:!0,editType:&quot;calc&quot;},editType:&quot;calc&quot;},editType:&quot;calc&quot;},i(&quot;marker&quot;,{anim:!0})),selected:{marker:{opacity:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;style&quot;},color:{valType:&quot;color&quot;,editType:&quot;style&quot;},size:{valType:&quot;number&quot;,min:0,editType:&quot;style&quot;},editType:&quot;style&quot;},textfont:{color:{valType:&quot;color&quot;,editType:&quot;style&quot;},editType:&quot;style&quot;},editType:&quot;style&quot;},unselected:{marker:{opacity:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;style&quot;},color:{valType:&quot;color&quot;,editType:&quot;style&quot;},size:{valType:&quot;number&quot;,min:0,editType:&quot;style&quot;},editType:&quot;style&quot;},textfont:{color:{valType:&quot;color&quot;,editType:&quot;style&quot;},editType:&quot;style&quot;},editType:&quot;style&quot;},textposition:{valType:&quot;enumerated&quot;,values:[&quot;top left&quot;,&quot;top center&quot;,&quot;top right&quot;,&quot;middle left&quot;,&quot;middle center&quot;,&quot;middle right&quot;,&quot;bottom left&quot;,&quot;bottom center&quot;,&quot;bottom right&quot;],dflt:&quot;middle center&quot;,arrayOk:!0,editType:&quot;calc&quot;},textfont:o({editType:&quot;calc&quot;,colorEditType:&quot;style&quot;,arrayOk:!0}),r:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},t:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;}}},{&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/drawing&quot;:397,&quot;../../components/drawing/attributes&quot;:396,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plots/font_attributes&quot;:567,&quot;./constants&quot;:620}],617:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../plots/cartesian/axes&quot;),o=t(&quot;../../constants/numerical&quot;).BADNUM,s=t(&quot;./subtypes&quot;),l=t(&quot;./colorscale_calc&quot;),u=t(&quot;./arrays_to_calcdata&quot;),c=t(&quot;./calc_selection&quot;);function f(t,e,r,n,i,o,l){var u=e._length,c=t._fullLayout,f=r._id,h=n._id,d=c._firstScatter[p(e)]===e.uid,v=(g(e,c,r,n)||{}).orientation,m=e.fill;r._minDtick=0,n._minDtick=0;var y={padded:!0},b={padded:!0};l&amp;&amp;(y.ppad=b.ppad=l);var x=u&lt;2||i[0]!==i[u-1]||o[0]!==o[u-1];x&amp;&amp;(&quot;tozerox&quot;===m||&quot;tonextx&quot;===m&amp;&amp;(d||&quot;h&quot;===v))?y.tozero=!0:(e.error_y||{}).visible||&quot;tonexty&quot;!==m&amp;&amp;&quot;tozeroy&quot;!==m&amp;&amp;(s.hasMarkers(e)||s.hasText(e))||(y.padded=!1,y.ppad=0),x&amp;&amp;(&quot;tozeroy&quot;===m||&quot;tonexty&quot;===m&amp;&amp;(d||&quot;v&quot;===v))?b.tozero=!0:&quot;tonextx&quot;!==m&amp;&amp;&quot;tozerox&quot;!==m||(b.padded=!1),f&amp;&amp;(e._extremes[f]=a.findExtremes(r,i,y)),h&amp;&amp;(e._extremes[h]=a.findExtremes(n,o,b))}function h(t,e){if(s.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=&quot;area&quot;===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var l={type:&quot;linear&quot;};a.setConvert(l);for(var u=l.makeCalcdata(t.marker,&quot;size&quot;),c=new Array(e),f=0;f&lt;e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function 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R=T[s]={},P=n(w[s]),z=n(A[s]);P&amp;&amp;z?(R[C]=w[s],R[O]=A[s]):E&amp;&amp;(r?P:z)?(R[S]=r?w[s]:A[s],R.gap=!0,m?(R.s=o,L=!0):R.s=0):R[C]=R[O]=o,k&amp;&amp;(R.id=String(k[s]))}if(u(T,e),l(t,e),c(T,e),E){for(s=0;s&lt;T.length;)T[s][S]===o?T.splice(s,1):s++;if(i.sort(T,function(t,e){return t[S]-e[S]||t.i-e.i}),L){for(s=0;s&lt;T.length-1&amp;&amp;T[s].gap;)s++;for((y=T[s].s)||(y=T[s].s=0),p=0;p&lt;s;p++)T[p].s=y;for(v=T.length-1;v&gt;s&amp;&amp;T[v].gap;)v--;for(y=T[v].s,p=T.length-1;p&gt;v;p--)T[p].s=y;for(;s&lt;v;)if(T[++s].gap){for(p=s+1;T[p].gap;)p++;for(var I=T[s-1][S],N=T[s-1].s,D=(T[p].s-N)/(T[p][S]-I);s&lt;p;)T[s].s=N+(T[s][S]-I)*D,s++}}}return T},calcMarkerSize:h,calcAxisExpansion:f,setFirstScatter:d,getStackOpts:g}},{&quot;../../constants/numerical&quot;:475,&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axes&quot;:541,&quot;./arrays_to_calcdata&quot;:615,&quot;./calc_selection&quot;:618,&quot;./colorscale_calc&quot;:619,&quot;./subtypes&quot;:640,&quot;fast-isnumeric&quot;:90}],618:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e){n.isArrayOrTypedArray(e.selectedpoints)&amp;&amp;n.tagSelected(t,e)}},{&quot;../../lib&quot;:495}],619:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/helpers&quot;).hasColorscale,i=t(&quot;../../components/colorscale/calc&quot;),a=t(&quot;./subtypes&quot;);e.exports=function(t,e){a.hasLines(e)&amp;&amp;n(e,&quot;line&quot;)&amp;&amp;i(t,e,{vals:e.line.color,containerStr:&quot;line&quot;,cLetter:&quot;c&quot;}),a.hasMarkers(e)&amp;&amp;(n(e,&quot;marker&quot;)&amp;&amp;i(t,e,{vals:e.marker.color,containerStr:&quot;marker&quot;,cLetter:&quot;c&quot;}),n(e,&quot;marker.line&quot;)&amp;&amp;i(t,e,{vals:e.marker.line.color,containerStr:&quot;marker.line&quot;,cLetter:&quot;c&quot;}))}},{&quot;../../components/colorscale/calc&quot;:384,&quot;../../components/colorscale/helpers&quot;:387,&quot;./subtypes&quot;:640}],620:[function(t,e,r){&quot;use strict&quot;;e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],621:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./calc&quot;);function i(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&amp;&amp;r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&amp;&amp;(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}e.exports=function(t,e){var r=e.xaxis,a=e.yaxis,o=r._id+a._id,s=t._fullLayout._scatterStackOpts[o];if(s){var l,u,c,f,h,d,p,g,v,m,y,b,x,_,w,A=t.calcdata;for(var M in s){var T=(m=s[M]).traceIndices;if(T.length){for(y=&quot;interpolate&quot;===m.stackgaps,b=m.groupnorm,&quot;v&quot;===m.orientation?(x=&quot;x&quot;,_=&quot;y&quot;):(x=&quot;y&quot;,_=&quot;x&quot;),w=new Array(T.length),l=0;l&lt;w.length;l++)w[l]=!1;d=A[T[0]];var k=new 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Array(E);for(u=0;u&lt;E;u++)P[u]=h[u].x,z[u]=h[u].y;n.calcAxisExpansion(t,S,r,a,P,z,C),h[0].t.orientation=m.orientation}}}}}},{&quot;./calc&quot;:617}],622:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=0;e&lt;t.length;e++){var r=t[e];if(&quot;scatter&quot;===r.type){var n=r.fill;if(&quot;none&quot;!==n&amp;&amp;&quot;toself&quot;!==n&amp;&amp;(r.opacity=void 0,&quot;tonexty&quot;===n||&quot;tonextx&quot;===n))for(var i=e-1;i&gt;=0;i--){var a=t[i];if(&quot;scatter&quot;===a.type&amp;&amp;a.xaxis===r.xaxis&amp;&amp;a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],623:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;./attributes&quot;),o=t(&quot;./constants&quot;),s=t(&quot;./subtypes&quot;),l=t(&quot;./xy_defaults&quot;),u=t(&quot;./stack_defaults&quot;),c=t(&quot;./marker_defaults&quot;),f=t(&quot;./line_defaults&quot;),h=t(&quot;./line_shape_defaults&quot;),d=t(&quot;./text_defaults&quot;),p=t(&quot;./fillcolor_defaults&quot;);e.exports=function(t,e,r,g){function v(r,i){return n.coerce(t,e,a,r,i)}var m=l(t,e,g,v);if(m||(e.visible=!1),e.visible){var y=u(t,e,g,v),b=!y&amp;&amp;m&lt;o.PTS_LINESONLY?&quot;lines+markers&quot;:&quot;lines&quot;;v(&quot;text&quot;),v(&quot;hovertext&quot;),v(&quot;mode&quot;,b),s.hasLines(e)&amp;&amp;(f(t,e,r,g,v),h(t,e,v),v(&quot;connectgaps&quot;),v(&quot;line.simplify&quot;)),s.hasMarkers(e)&amp;&amp;c(t,e,r,g,v,{gradient:!0}),s.hasText(e)&amp;&amp;d(t,e,g,v);var x=[];(s.hasMarkers(e)||s.hasText(e))&amp;&amp;(v(&quot;cliponaxis&quot;),v(&quot;marker.maxdisplayed&quot;),x.push(&quot;points&quot;)),v(&quot;fill&quot;,y?y.fillDflt:&quot;none&quot;),&quot;none&quot;!==e.fill&amp;&amp;(p(t,e,r,v),s.hasLines(e)||h(t,e,v));var _=(e.line||{}).color,w=(e.marker||{}).color;&quot;tonext&quot;!==e.fill&amp;&amp;&quot;toself&quot;!==e.fill||x.push(&quot;fills&quot;),v(&quot;hoveron&quot;,x.join(&quot;+&quot;)||&quot;points&quot;),&quot;fills&quot;!==e.hoveron&amp;&amp;v(&quot;hovertemplate&quot;);var 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0}},{&quot;../../lib&quot;:495}],625:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;../../lib&quot;).isArrayOrTypedArray;e.exports=function(t,e,r,a){var o=!1;if(e.marker){var s=e.marker.color,l=(e.marker.line||{}).color;s&amp;&amp;!i(s)?o=s:l&amp;&amp;!i(l)&amp;&amp;(o=l)}a(&quot;fillcolor&quot;,n.addOpacity((e.line||{}).color||o||r,.5))}},{&quot;../../components/color&quot;:376,&quot;../../lib&quot;:495}],626:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;./subtypes&quot;);e.exports=function(t,e){var r,a;if(&quot;lines&quot;===t.mode)return(r=t.line.color)&amp;&amp;n.opacity(r)?r:t.fillcolor;if(&quot;none&quot;===t.mode)return t.fill?t.fillcolor:&quot;&quot;;var 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n={},i=t(&quot;./subtypes&quot;);n.hasLines=i.hasLines,n.hasMarkers=i.hasMarkers,n.hasText=i.hasText,n.isBubble=i.isBubble,n.attributes=t(&quot;./attributes&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.crossTraceDefaults=t(&quot;./cross_trace_defaults&quot;),n.calc=t(&quot;./calc&quot;).calc,n.crossTraceCalc=t(&quot;./cross_trace_calc&quot;),n.arraysToCalcdata=t(&quot;./arrays_to_calcdata&quot;),n.plot=t(&quot;./plot&quot;),n.colorbar=t(&quot;./marker_colorbar&quot;),n.style=t(&quot;./style&quot;).style,n.styleOnSelect=t(&quot;./style&quot;).styleOnSelect,n.hoverPoints=t(&quot;./hover&quot;),n.selectPoints=t(&quot;./select&quot;),n.animatable=!0,n.moduleType=&quot;trace&quot;,n.name=&quot;scatter&quot;,n.basePlotModule=t(&quot;../../plots/cartesian&quot;),n.categories=[&quot;cartesian&quot;,&quot;svg&quot;,&quot;symbols&quot;,&quot;errorBarsOK&quot;,&quot;showLegend&quot;,&quot;scatter-like&quot;,&quot;zoomScale&quot;],n.meta={},e.exports=n},{&quot;../../plots/cartesian&quot;:552,&quot;./arrays_to_calcdata&quot;:615,&quot;./attributes&quot;:616,&quot;./calc&quot;:617,&quot;./cross_trace_calc&quot;:621,&quot;./cross_trace_defaults&quot;:622,&quot;./defaults&quot;:623,&quot;./hover&quot;:627,&quot;./marker_colorbar&quot;:634,&quot;./plot&quot;:636,&quot;./select&quot;:637,&quot;./style&quot;:639,&quot;./subtypes&quot;:640}],629:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;).isArrayOrTypedArray,i=t(&quot;../../components/colorscale/helpers&quot;).hasColorscale,a=t(&quot;../../components/colorscale/defaults&quot;);e.exports=function(t,e,r,o,s,l){var u=(t.marker||{}).color;(s(&quot;line.color&quot;,r),i(t,&quot;line&quot;))?a(t,e,o,s,{prefix:&quot;line.&quot;,cLetter:&quot;c&quot;}):s(&quot;line.color&quot;,!n(u)&amp;&amp;u||r);s(&quot;line.width&quot;),(l||{}).noDash||s(&quot;line.dash&quot;)}},{&quot;../../components/colorscale/defaults&quot;:386,&quot;../../components/colorscale/helpers&quot;:387,&quot;../../lib&quot;:495}],630:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../constants/numerical&quot;),i=n.BADNUM,a=n.LOG_CLIP,o=a+.5,s=a-.5,l=t(&quot;../../lib&quot;),u=l.segmentsIntersect,c=l.constrain,f=t(&quot;./constants&quot;);e.exports=function(t,e){var 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g=e.exports=c({x:n.x,y:n.y,z:{valType:&quot;data_array&quot;},text:u({},n.text,{}),hovertext:u({},n.hovertext,{}),hovertemplate:a(),mode:u({},n.mode,{dflt:&quot;lines+markers&quot;}),surfaceaxis:{valType:&quot;enumerated&quot;,values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:&quot;color&quot;},projection:{x:{show:{valType:&quot;boolean&quot;,dflt:!1},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},scale:{valType:&quot;number&quot;,min:0,max:10,dflt:2/3}},y:{show:{valType:&quot;boolean&quot;,dflt:!1},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},scale:{valType:&quot;number&quot;,min:0,max:10,dflt:2/3}},z:{show:{valType:&quot;boolean&quot;,dflt:!1},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},scale:{valType:&quot;number&quot;,min:0,max:10,dflt:2/3}}},connectgaps:n.connectgaps,line:p,marker:u({symbol:{valType:&quot;enumerated&quot;,values:Object.keys(l),dflt:&quot;circle&quot;,arrayOk:!0},size:u({},h.size,{dflt:8}),sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,opacity:u({},h.opacity,{arrayOk:!1}),colorbar:h.colorbar,line:u({width:u({},d.width,{arrayOk:!1})},i(&quot;marker.line&quot;))},i(&quot;marker&quot;)),textposition:u({},n.textposition,{dflt:&quot;top center&quot;}),textfont:{color:n.textfont.color,size:n.textfont.size,family:u({},n.textfont.family,{arrayOk:!1})},hoverinfo:u({},o.hoverinfo)},&quot;calc&quot;,&quot;nested&quot;);g.x.editType=g.y.editType=g.z.editType=&quot;calc+clearAxisTypes&quot;},{&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../constants/gl3d_dashes&quot;:472,&quot;../../constants/gl3d_markers&quot;:473,&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plots/attributes&quot;:538,&quot;../scatter/attributes&quot;:616}],644:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../scatter/arrays_to_calcdata&quot;),i=t(&quot;../scatter/colorscale_calc&quot;);e.exports=function(t,e){var r=[{x:!1,y:!1,trace:e,t:{}}];return n(r,e),i(t,e),r}},{&quot;../scatter/arrays_to_calcdata&quot;:615,&quot;../scatter/colorscale_calc&quot;:619}],645:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;);function i(t,e,r,i){if(!e||!e.visible)return null;for(var a=n.getComponentMethod(&quot;errorbars&quot;,&quot;makeComputeError&quot;)(e),o=new Array(t.length),s=0;s&lt;t.length;s++){var l=a(+t[s],s);if(&quot;log&quot;===i.type){var u=i.c2l(t[s]),c=t[s]-l[0],f=t[s]+l[1];if(o[s]=[(i.c2l(c,!0)-u)*r,(i.c2l(f,!0)-u)*r],c&gt;0){var h=i.c2l(c);i._lowerLogErrorBound||(i._lowerLogErrorBound=h),i._lowerErrorBound=Math.min(i._lowerLogErrorBound,h)}}else o[s]=[-l[0]*r,l[1]*r]}return o}e.exports=function(t,e,r){var n=[i(t.x,t.error_x,e[0],r.xaxis),i(t.y,t.error_y,e[1],r.yaxis),i(t.z,t.error_z,e[2],r.zaxis)],a=function(t){for(var e=0;e&lt;t.length;e++)if(t[e])return t[e].length;return 0}(n);if(0===a)return null;for(var o=new Array(a),s=0;s&lt;a;s++){for(var l=[[0,0,0],[0,0,0]],u=0;u&lt;3;u++)if(n[u])for(var c=0;c&lt;2;c++)l[c][u]=n[u][s][c];o[s]=l}return o}},{&quot;../../registry&quot;:592}],646:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-line3d&quot;),i=t(&quot;gl-scatter3d&quot;),a=t(&quot;gl-error3d&quot;),o=t(&quot;gl-mesh3d&quot;),s=t(&quot;delaunay-triangulate&quot;),l=t(&quot;../../lib&quot;),u=t(&quot;../../lib/str2rgbarray&quot;),c=t(&quot;../../lib/gl_format_color&quot;).formatColor,f=t(&quot;../scatter/make_bubble_size_func&quot;),h=t(&quot;../../constants/gl3d_dashes&quot;),d=t(&quot;../../constants/gl3d_markers&quot;),p=t(&quot;./calc_errors&quot;);function g(t,e){this.scene=t,this.uid=e,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode=&quot;&quot;,this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var v=g.prototype;function m(t){return null==t?0:t.indexOf(&quot;left&quot;)&gt;-1?-1:t.indexOf(&quot;right&quot;)&gt;-1?1:0}function y(t){return null==t?0:t.indexOf(&quot;top&quot;)&gt;-1?-1:t.indexOf(&quot;bottom&quot;)&gt;-1?1:0}function b(t,e){return e(4*t)}function x(t){return d[t]}function _(t,e,r,n,i){var a=null;if(l.isArrayOrTypedArray(t)){a=[];for(var o=0;o&lt;e;o++)void 0===t[o]?a[o]=n:a[o]=r(t[o],i)}else a=r(t,l.identity);return a}function w(t,e){var r,n,i,a,o,s,h=[],d=t.fullSceneLayout,g=t.dataScale,v=d.xaxis,w=d.yaxis,A=d.zaxis,M=e.marker,T=e.line,k=e.x||[],E=e.y||[],L=e.z||[],S=k.length,C=e.xcalendar,O=e.ycalendar,R=e.zcalendar;for(o=0;o&lt;S;o++)r=v.d2l(k[o],0,C)*g[0],n=w.d2l(E[o],0,O)*g[1],i=A.d2l(L[o],0,R)*g[2],h[o]=[r,n,i];if(Array.isArray(e.text))s=e.text;else if(void 0!==e.text)for(s=new Array(S),o=0;o&lt;S;o++)s[o]=e.text;if(a={position:h,mode:e.mode,text:s},&quot;line&quot;in e&amp;&amp;(a.lineColor=c(T,1,S),a.lineWidth=T.width,a.lineDashes=T.dash),&quot;marker&quot;in e){var P=f(e);a.scatterColor=c(M,1,S),a.scatterSize=_(M.size,S,b,20,P),a.scatterMarker=_(M.symbol,S,x,&quot;\\u25cf&quot;),a.scatterLineWidth=M.line.width,a.scatterLineColor=c(M.line,1,S),a.scatterAngle=0}&quot;textposition&quot;in e&amp;&amp;(a.textOffset=function(t){var e=[0,0];if(Array.isArray(t))for(var r=0;r&lt;t.length;r++)e[r]=[0,0],t[r]&amp;&amp;(e[r][0]=m(t[r]),e[r][1]=y(t[r]));else e[0]=m(t),e[1]=y(t);return e}(e.textposition),a.textColor=c(e.textfont,1,S),a.textSize=_(e.textfont.size,S,l.identity,12),a.textFont=e.textfont.family,a.textAngle=0);var z=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];for(a.project=[!1,!1,!1],a.projectScale=[1,1,1],a.projectOpacity=[1,1,1],o=0;o&lt;3;++o){var I=e.projection[z[o]];(a.project[o]=I.show)&amp;&amp;(a.projectOpacity[o]=I.opacity,a.projectScale[o]=I.scale)}a.errorBounds=p(e,g,d);var N=function(t){for(var e=[0,0,0],r=[[0,0,0],[0,0,0],[0,0,0]],n=[1,1,1],i=0;i&lt;3;i++){var a=t[i];a&amp;&amp;!1!==a.copy_zstyle&amp;&amp;!1!==t[2].visible&amp;&amp;(a=t[2]),a&amp;&amp;a.visible&amp;&amp;(e[i]=a.width/2,r[i]=u(a.color),n[i]=a.thickness)}return{capSize:e,color:r,lineWidth:n}}([e.error_x,e.error_y,e.error_z]);return a.errorColor=N.color,a.errorLineWidth=N.lineWidth,a.errorCapSize=N.capSize,a.delaunayAxis=e.surfaceaxis,a.delaunayColor=u(e.surfacecolor),a}function A(t){if(Array.isArray(t)){var e=t[0];return Array.isArray(e)&amp;&amp;(t=e),&quot;rgb(&quot;+t.slice(0,3).map(function(t){return Math.round(255*t)})+&quot;)&quot;}return null}v.handlePick=function(t){if(t.object&amp;&amp;(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){var e=t.index=t.data.index;return t.object.highlight&amp;&amp;t.object.highlight(null),this.scatterPlot&amp;&amp;(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),t.textLabel=&quot;&quot;,this.textLabels&amp;&amp;(Array.isArray(this.textLabels)?(this.textLabels[e]||0===this.textLabels[e])&amp;&amp;(t.textLabel=this.textLabels[e]):t.textLabel=this.textLabels),t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},v.update=function(t){var e,r,l,u,c=this.scene.glplot.gl,f=h.solid;this.data=t;var d=w(this.scene,t);&quot;mode&quot;in d&amp;&amp;(this.mode=d.mode),&quot;lineDashes&quot;in d&amp;&amp;d.lineDashes in h&amp;&amp;(f=h[d.lineDashes]),this.color=A(d.scatterColor)||A(d.lineColor),this.dataPoints=d.position,e={gl:this.scene.glplot.gl,position:d.position,color:d.lineColor,lineWidth:d.lineWidth||1,dashes:f[0],dashScale:f[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf(&quot;lines&quot;)?this.linePlot?this.linePlot.update(e):(this.linePlot=n(e),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&amp;&amp;(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var p=t.opacity;if(t.marker&amp;&amp;t.marker.opacity&amp;&amp;(p*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:d.position,color:d.scatterColor,size:d.scatterSize,glyph:d.scatterMarker,opacity:p,orthographic:!0,lineWidth:d.scatterLineWidth,lineColor:d.scatterLineColor,project:d.project,projectScale:d.projectScale,projectOpacity:d.projectOpacity},-1!==this.mode.indexOf(&quot;markers&quot;)?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&amp;&amp;(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),u={gl:this.scene.glplot.gl,position:d.position,glyph:d.text,color:d.textColor,size:d.textSize,angle:d.textAngle,alignment:d.textOffset,font:d.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(&quot;text&quot;)?this.textMarkers?this.textMarkers.update(u):(this.textMarkers=i(u),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&amp;&amp;(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:d.position,color:d.errorColor,error:d.errorBounds,lineWidth:d.errorLineWidth,capSize:d.errorCapSize,opacity:t.opacity},this.errorBars?d.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):d.errorBounds&amp;&amp;(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),d.delaunayAxis&gt;=0){var g=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n&lt;t.length;++n){var u=t[n];!isNaN(u[i])&amp;&amp;isFinite(u[i])&amp;&amp;!isNaN(u[a])&amp;&amp;isFinite(u[a])&amp;&amp;(o.push([u[i],u[a]]),l.push(n))}var c=s(o);for(n=0;n&lt;c.length;++n)for(var f=c[n],h=0;h&lt;f.length;++h)f[h]=l[f[h]];return{positions:t,cells:c,meshColor:e}}(d.position,d.delaunayColor,d.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=c,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&amp;&amp;(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},v.dispose=function(){this.linePlot&amp;&amp;(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&amp;&amp;(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&amp;&amp;(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&amp;&amp;(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&amp;&amp;(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new g(t,e.uid);return r.update(e),r}},{&quot;../../constants/gl3d_dashes&quot;:472,&quot;../../constants/gl3d_markers&quot;:473,&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../lib/str2rgbarray&quot;:517,&quot;../scatter/make_bubble_size_func&quot;:633,&quot;./calc_errors&quot;:645,&quot;delaunay-triangulate&quot;:83,&quot;gl-error3d&quot;:109,&quot;gl-line3d&quot;:114,&quot;gl-mesh3d&quot;:139,&quot;gl-scatter3d&quot;:147}],647:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../scatter/subtypes&quot;),o=t(&quot;../scatter/marker_defaults&quot;),s=t(&quot;../scatter/line_defaults&quot;),l=t(&quot;../scatter/text_defaults&quot;),u=t(&quot;./attributes&quot;);e.exports=function(t,e,r,c){function f(r,n){return i.coerce(t,e,u,r,n)}if(function(t,e,r,i){var a=0,o=r(&quot;x&quot;),s=r(&quot;y&quot;),l=r(&quot;z&quot;);n.getComponentMethod(&quot;calendars&quot;,&quot;handleTraceDefaults&quot;)(t,e,[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],i),o&amp;&amp;s&amp;&amp;l&amp;&amp;(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return a}(t,e,f,c)){f(&quot;text&quot;),f(&quot;hovertext&quot;),f(&quot;hovertemplate&quot;),f(&quot;mode&quot;),a.hasLines(e)&amp;&amp;(f(&quot;connectgaps&quot;),s(t,e,r,c,f)),a.hasMarkers(e)&amp;&amp;o(t,e,r,c,f,{noSelect:!0}),a.hasText(e)&amp;&amp;l(t,e,c,f,{noSelect:!0});var h=(e.line||{}).color,d=(e.marker||{}).color;f(&quot;surfaceaxis&quot;)&gt;=0&amp;&amp;f(&quot;surfacecolor&quot;,h||d);for(var p=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],g=0;g&lt;3;++g){var v=&quot;projection.&quot;+p[g];f(v+&quot;.show&quot;)&amp;&amp;(f(v+&quot;.opacity&quot;),f(v+&quot;.scale&quot;))}var m=n.getComponentMethod(&quot;errorbars&quot;,&quot;supplyDefaults&quot;);m(t,e,h||d||r,{axis:&quot;z&quot;}),m(t,e,h||d||r,{axis:&quot;y&quot;,inherit:&quot;z&quot;}),m(t,e,h||d||r,{axis:&quot;x&quot;,inherit:&quot;z&quot;})}else e.visible=!1}},{&quot;../../lib&quot;:495,&quot;../../registry&quot;:592,&quot;../scatter/line_defaults&quot;:629,&quot;../scatter/marker_defaults&quot;:635,&quot;../scatter/subtypes&quot;:640,&quot;../scatter/text_defaults&quot;:641,&quot;./attributes&quot;:643}],648:[function(t,e,r){&quot;use strict&quot;;var n={};n.plot=t(&quot;./convert&quot;),n.attributes=t(&quot;./attributes&quot;),n.markerSymbols=t(&quot;../../constants/gl3d_markers&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.colorbar=[{container:&quot;marker&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;},{container:&quot;line&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;}],n.calc=t(&quot;./calc&quot;),n.moduleType=&quot;trace&quot;,n.name=&quot;scatter3d&quot;,n.basePlotModule=t(&quot;../../plots/gl3d&quot;),n.categories=[&quot;gl3d&quot;,&quot;symbols&quot;,&quot;showLegend&quot;],n.meta={},e.exports=n},{&quot;../../constants/gl3d_markers&quot;:473,&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:643,&quot;./calc&quot;:644,&quot;./convert&quot;:646,&quot;./defaults&quot;:647}],649:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/attributes&quot;),i=t(&quot;../../components/colorbar/attributes&quot;),a=t(&quot;../../components/fx/hovertemplate_attributes&quot;),o=t(&quot;../mesh3d/attributes&quot;),s=t(&quot;../../plots/attributes&quot;),l=t(&quot;../../lib/extend&quot;).extendFlat,u={x:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},y:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},z:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},u:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},v:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},w:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},starts:{x:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},y:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},z:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},editType:&quot;calc&quot;},maxdisplayed:{valType:&quot;integer&quot;,min:0,dflt:1e3,editType:&quot;calc&quot;},sizeref:{valType:&quot;number&quot;,editType:&quot;calc&quot;,min:0,dflt:1},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;calc&quot;},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;calc&quot;},hovertemplate:a({editType:&quot;calc&quot;},{keys:[&quot;tubex&quot;,&quot;tubey&quot;,&quot;tubez&quot;,&quot;tubeu&quot;,&quot;tubev&quot;,&quot;tubew&quot;,&quot;norm&quot;,&quot;divergence&quot;]})};l(u,n(&quot;&quot;,{colorAttr:&quot;u/v/w norm&quot;,showScaleDflt:!0,editTypeOverride:&quot;calc&quot;}),{colorbar:i});[&quot;opacity&quot;,&quot;lightposition&quot;,&quot;lighting&quot;].forEach(function(t){u[t]=o[t]}),u.hoverinfo=l({},s.hoverinfo,{editType:&quot;calc&quot;,flags:[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;,&quot;u&quot;,&quot;v&quot;,&quot;w&quot;,&quot;norm&quot;,&quot;divergence&quot;,&quot;text&quot;,&quot;name&quot;],dflt:&quot;x+y+z+norm+text+name&quot;}),u.transforms=void 0,e.exports=u},{&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plots/attributes&quot;:538,&quot;../mesh3d/attributes&quot;:608}],650:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/calc&quot;);e.exports=function(t,e){var r,i,a,o,s=e.u,l=e.v,u=e.w,c=e.x,f=e.y,h=e.z,d=Math.min(c.length,f.length,h.length,s.length,l.length,u.length),p=0;e.starts&amp;&amp;(i=e.starts.x||[],a=e.starts.y||[],o=e.starts.z||[],p=Math.min(i.length,a.length,o.length));var g=0,v=1/0;for(r=0;r&lt;d;r++){var m=s[r],y=l[r],b=u[r],x=Math.sqrt(m*m+y*y+b*b);g=Math.max(g,x),v=Math.min(v,x)}n(t,e,{vals:[v,g],containerStr:&quot;&quot;,cLetter:&quot;c&quot;});var _=-1/0,w=1/0,A=-1/0,M=1/0,T=-1/0,k=1/0;for(r=0;r&lt;d;r++){var E=c[r];_=Math.max(_,E),w=Math.min(w,E);var L=f[r];A=Math.max(A,L),M=Math.min(M,L);var S=h[r];T=Math.max(T,S),k=Math.min(k,S)}for(r=0;r&lt;p;r++){var C=i[r];_=Math.max(_,C),w=Math.min(w,C);var O=a[r];A=Math.max(A,O),M=Math.min(M,O);var R=o[r];T=Math.max(T,R),k=Math.min(k,R)}e._len=d,e._slen=p,e._normMax=g,e._xbnds=[w,_],e._ybnds=[M,A],e._zbnds=[k,T]}},{&quot;../../components/colorscale/calc&quot;:384}],651:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-streamtube3d&quot;),i=n.createTubeMesh,a=t(&quot;../../lib&quot;),o=t(&quot;../../lib/gl_format_color&quot;).parseColorScale,s=t(&quot;../../plots/gl3d/zip3&quot;),l={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var c=u.prototype;function f(t){return a.distinctVals(t).vals}function h(t){var e=t.length;return e&gt;2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function d(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function p(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,c={};function p(t,e){var n=r[e],o=i[l[e]];return a.simpleMap(t,function(t){return n.d2l(t)*o})}c.vectors=s(p(e.u,&quot;xaxis&quot;),p(e.v,&quot;yaxis&quot;),p(e.w,&quot;zaxis&quot;),u);var g=f(e.x.slice(0,u)),v=f(e.y.slice(0,u)),m=f(e.z.slice(0,u));if(g.length*v.length*m.length&gt;u)return{positions:[],cells:[]};var y=p(g,&quot;xaxis&quot;),b=p(v,&quot;yaxis&quot;),x=p(m,&quot;zaxis&quot;);if(c.meshgrid=[y,b,x],e.starts){var _=e._slen;c.startingPositions=s(p(e.starts.x.slice(0,_),&quot;xaxis&quot;),p(e.starts.y.slice(0,_),&quot;yaxis&quot;),p(e.starts.z.slice(0,_),&quot;zaxis&quot;))}else{for(var w=b[0],A=h(y),M=h(x),T=new Array(A.length*M.length),k=0,E=0;E&lt;A.length;E++)for(var L=0;L&lt;M.length;L++)T[k++]=[A[E],w,M[L]];c.startingPositions=T}c.colormap=o(e),c.tubeSize=e.sizeref,c.maxLength=e.maxdisplayed;var S=p(e._xbnds,&quot;xaxis&quot;),C=p(e._ybnds,&quot;yaxis&quot;),O=p(e._zbnds,&quot;zaxis&quot;),R=d(y),P=d(b),z=d(x),I=[[S[0]-R[0],C[0]-P[0],O[0]-z[0]],[S[1]+R[1],C[1]+P[1],O[1]+z[1]]],N=n(c,I);N.vertexIntensityBounds=[e.cmin/e._normMax,e.cmax/e._normMax];var D=e.lightposition;return N.lightPosition=[D.x,D.y,D.z],N.ambient=e.lighting.ambient,N.diffuse=e.lighting.diffuse,N.specular=e.lighting.specular,N.roughness=e.lighting.roughness,N.fresnel=e.lighting.fresnel,N.opacity=e.opacity,e._pad=N.tubeScale*e.sizeref*2,N}c.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[l[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],&quot;xaxis&quot;),n(i[1],&quot;yaxis&quot;),n(i[2],&quot;zaxis&quot;),n(a[0],&quot;xaxis&quot;),n(a[1],&quot;yaxis&quot;),n(a[2],&quot;zaxis&quot;),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},c.update=function(t){this.data=t;var e=p(this.scene,t);this.mesh.update(e)},c.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=p(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../plots/gl3d/zip3&quot;:581,&quot;gl-streamtube3d&quot;:160}],652:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../components/colorscale/defaults&quot;),a=t(&quot;./attributes&quot;);e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(&quot;u&quot;),u=s(&quot;v&quot;),c=s(&quot;w&quot;),f=s(&quot;x&quot;),h=s(&quot;y&quot;),d=s(&quot;z&quot;);l&amp;&amp;l.length&amp;&amp;u&amp;&amp;u.length&amp;&amp;c&amp;&amp;c.length&amp;&amp;f&amp;&amp;f.length&amp;&amp;h&amp;&amp;h.length&amp;&amp;d&amp;&amp;d.length?(s(&quot;starts.x&quot;),s(&quot;starts.y&quot;),s(&quot;starts.z&quot;),s(&quot;maxdisplayed&quot;),s(&quot;sizeref&quot;),s(&quot;lighting.ambient&quot;),s(&quot;lighting.diffuse&quot;),s(&quot;lighting.specular&quot;),s(&quot;lighting.roughness&quot;),s(&quot;lighting.fresnel&quot;),s(&quot;lightposition.x&quot;),s(&quot;lightposition.y&quot;),s(&quot;lightposition.z&quot;),i(t,e,o,s,{prefix:&quot;&quot;,cLetter:&quot;c&quot;}),s(&quot;text&quot;),s(&quot;hovertext&quot;),s(&quot;hovertemplate&quot;),e._length=null):e.visible=!1}},{&quot;../../components/colorscale/defaults&quot;:386,&quot;../../lib&quot;:495,&quot;./attributes&quot;:649}],653:[function(t,e,r){&quot;use strict&quot;;e.exports={moduleType:&quot;trace&quot;,name:&quot;streamtube&quot;,basePlotModule:t(&quot;../../plots/gl3d&quot;),categories:[&quot;gl3d&quot;],attributes:t(&quot;./attributes&quot;),supplyDefaults:t(&quot;./defaults&quot;),colorbar:{min:&quot;cmin&quot;,max:&quot;cmax&quot;},calc:t(&quot;./calc&quot;),plot:t(&quot;./convert&quot;),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:649,&quot;./calc&quot;:650,&quot;./convert&quot;:651,&quot;./defaults&quot;:652}],654:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;../../components/colorscale/attributes&quot;),a=t(&quot;../../components/colorbar/attributes&quot;),o=t(&quot;../../components/fx/hovertemplate_attributes&quot;),s=t(&quot;../../plots/attributes&quot;),l=t(&quot;../../lib/extend&quot;).extendFlat,u=t(&quot;../../plot_api/edit_types&quot;).overrideAll;function c(t){return{show:{valType:&quot;boolean&quot;,dflt:!1},project:{x:{valType:&quot;boolean&quot;,dflt:!1},y:{valType:&quot;boolean&quot;,dflt:!1},z:{valType:&quot;boolean&quot;,dflt:!1}},color:{valType:&quot;color&quot;,dflt:n.defaultLine},usecolormap:{valType:&quot;boolean&quot;,dflt:!1},width:{valType:&quot;number&quot;,min:1,max:16,dflt:2},highlight:{valType:&quot;boolean&quot;,dflt:!0},highlightcolor:{valType:&quot;color&quot;,dflt:n.defaultLine},highlightwidth:{valType:&quot;number&quot;,min:1,max:16,dflt:2}}}var f=e.exports=u(l({z:{valType:&quot;data_array&quot;},x:{valType:&quot;data_array&quot;},y:{valType:&quot;data_array&quot;},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0},hovertemplate:o(),connectgaps:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;calc&quot;},surfacecolor:{valType:&quot;data_array&quot;}},i(&quot;&quot;,{colorAttr:&quot;z or surfacecolor&quot;,showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:&quot;calc&quot;}),{colorbar:a,contours:{x:c(),y:c(),z:c()},hidesurface:{valType:&quot;boolean&quot;,dflt:!1},lightposition:{x:{valType:&quot;number&quot;,min:-1e5,max:1e5,dflt:10},y:{valType:&quot;number&quot;,min:-1e5,max:1e5,dflt:1e4},z:{valType:&quot;number&quot;,min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:&quot;number&quot;,min:0,max:1,dflt:.8},diffuse:{valType:&quot;number&quot;,min:0,max:1,dflt:.8},specular:{valType:&quot;number&quot;,min:0,max:2,dflt:.05},roughness:{valType:&quot;number&quot;,min:0,max:1,dflt:.5},fresnel:{valType:&quot;number&quot;,min:0,max:5,dflt:.2}},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo)}),&quot;calc&quot;,&quot;nested&quot;);f.x.editType=f.y.editType=f.z.editType=&quot;calc+clearAxisTypes&quot;,f.transforms=void 0},{&quot;../../components/color&quot;:376,&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plots/attributes&quot;:538}],655:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/calc&quot;);e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:&quot;&quot;,cLetter:&quot;c&quot;}):n(t,e,{vals:e.z,containerStr:&quot;&quot;,cLetter:&quot;c&quot;})}},{&quot;../../components/colorscale/calc&quot;:384}],656:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-surface3d&quot;),i=t(&quot;ndarray&quot;),a=t(&quot;ndarray-homography&quot;),o=t(&quot;ndarray-fill&quot;),s=t(&quot;../../lib&quot;).isArrayOrTypedArray,l=t(&quot;../../lib/gl_format_color&quot;).parseColorScale,u=t(&quot;../../lib/str2rgbarray&quot;),c=t(&quot;../heatmap/interp2d&quot;),f=t(&quot;../heatmap/find_empties&quot;);function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this._interpolatedZ=!1}var d=h.prototype;d.getXat=function(t,e,r,n){var i=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},d.getYat=function(t,e,r,n){var i=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},d.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&amp;&amp;this.data.connectgaps&amp;&amp;this.data._interpolatedZ&amp;&amp;(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},d.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a&lt;3;a++){var o=t.dataCoordinate[a];null!=o&amp;&amp;(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&amp;&amp;s[i]&amp;&amp;void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||&quot;&quot;,t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t&lt;e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function v(t){for(var e=[],r=0;r&lt;p.length;r++){var n=p[r];e.push(g(t,n))}return e}function m(t){for(var e=v(t),r=t,n=0;n&lt;p.length;n++)if(e[n]&gt;0){r=p[n];break}return r}function y(t,e){if(!(t&lt;1||e&lt;1)){for(var r=v(t),n=v(e),i=1,a=0;a&lt;p.length;a++)i*=Math.pow(p[a],Math.max(r[a],n[a]));return i}}d.calcXnums=function(t){var e,r=[];for(e=1;e&lt;t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&amp;&amp;null!=n&amp;&amp;null!=i?Math.abs(i-n):0}var a=0;for(e=1;e&lt;t;e++)a+=r[e-1];for(e=1;e&lt;t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},d.calcYnums=function(t){var e,r=[];for(e=1;e&lt;t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&amp;&amp;null!=n&amp;&amp;null!=i?Math.abs(i-n):0}var a=0;for(e=1;e&lt;t;e++)a+=r[e-1];for(e=1;e&lt;t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var b=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],x=b[9],_=b[13];d.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r&lt;t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r&lt;x;)r*=2;for(;r&gt;_;)r--,r/=m(r),++r&lt;x&amp;&amp;(r=_);var n=Math.round(r/t);return n&gt;1?n:1},d.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],o=t[0].shape[1],s=0|Math.floor(t[0].shape[0]*e+1),l=0|Math.floor(t[0].shape[1]*r+1),u=1+n+1,c=1+o+1,f=i(new Float32Array(u*c),[u,c]),h=0;h&lt;t.length;++h){this.surface.padField(f,t[h]);var d=i(new Float32Array(s*l),[s,l]);a(d,f,[e,0,0,0,r,0,0,0,1]),t[h]=d}},d.setContourLevels=function(){for(var t=[[],[],[]],e=!1,r=0;r&lt;3;++r)this.showContour[r]&amp;&amp;(e=!0,t[r]=this.scene.contourLevels[r]);e&amp;&amp;this.surface.update({levels:t})},d.update=function(t){var e,r,n,a,s=this.scene,h=s.fullSceneLayout,d=this.surface,p=t.opacity,g=l(t,p),v=s.dataScale,m=t.z[0].length,y=t._ylength,b=s.contourLevels;this.data=t;var x=[];for(e=0;e&lt;3;e++)for(x[e]=[],r=0;r&lt;m;r++)x[e][r]=[];for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=f(x[2]),c(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r&lt;m;r++)for(t._interpolatedZ[r]=[],n=0;n&lt;y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e&lt;3;e++)for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e&lt;3;e++)for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)null!=(a=x[e][r][n])&amp;&amp;(this.minValues[e]&gt;a&amp;&amp;(this.minValues[e]=a),this.maxValues[e]&lt;a&amp;&amp;(this.maxValues[e]=a));for(e=0;e&lt;3;e++)t._objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e&lt;3;e++)for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)null!=(a=x[e][r][n])&amp;&amp;(x[e][r][n]-=t._objectOffset[e]);var w=[i(new Float32Array(m*y),[m,y]),i(new Float32Array(m*y),[m,y]),i(new Float32Array(m*y),[m,y])];o(w[0],function(t,e){return x[0][t][e]}),o(w[1],function(t,e){return x[1][t][e]}),o(w[2],function(t,e){return x[2][t][e]}),x=[];var A={colormap:g,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacity:t.opacity};if(A.intensityBounds=[t.cmin,t.cmax],t.surfacecolor){var M=i(new Float32Array(m*y),[m,y]);o(M,function(e,r){return t.surfacecolor[r][e]}),w.push(M)}else A.intensityBounds[0]*=v[2],A.intensityBounds[1]*=v[2];(_&lt;w[0].shape[0]||_&lt;w[0].shape[1])&amp;&amp;(this.refineData=!1),!0===this.refineData&amp;&amp;(this.dataScaleX=this.estimateScale(w[0].shape[0],0),this.dataScaleY=this.estimateScale(w[0].shape[1],1),1===this.dataScaleX&amp;&amp;1===this.dataScaleY||this.refineCoords(w)),t.surfacecolor&amp;&amp;(A.intensity=w.pop());var T=[!0,!0,!0],k=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];for(e=0;e&lt;3;++e){var E=t.contours[k[e]];T[e]=E.highlight,A.showContour[e]=E.show||E.highlight,A.showContour[e]&amp;&amp;(A.contourProject[e]=[E.project.x,E.project.y,E.project.z],E.show?(this.showContour[e]=!0,A.levels[e]=b[e],d.highlightColor[e]=A.contourColor[e]=u(E.color),E.usecolormap?d.highlightTint[e]=A.contourTint[e]=0:d.highlightTint[e]=A.contourTint[e]=1,A.contourWidth[e]=E.width):this.showContour[e]=!1,E.highlight&amp;&amp;(A.dynamicColor[e]=u(E.highlightcolor),A.dynamicWidth[e]=E.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&amp;&amp;e[1]===r[1]&amp;&amp;e[2]===r[2]&amp;&amp;e[3]===r[3]})(g)&amp;&amp;(A.vertexColor=!0),A.objectOffset=[t._objectOffset[0],t._objectOffset[1],t._objectOffset[2]],A.coords=w,d.update(A),d.visible=t.visible,d.enableDynamic=T,d.enableHighlight=T,d.snapToData=!0,&quot;lighting&quot;in t&amp;&amp;(d.ambientLight=t.lighting.ambient,d.diffuseLight=t.lighting.diffuse,d.specularLight=t.lighting.specular,d.roughness=t.lighting.roughness,d.fresnel=t.lighting.fresnel),&quot;lightposition&quot;in t&amp;&amp;(d.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),p&amp;&amp;p&lt;1&amp;&amp;(d.supportsTransparency=!0)},d.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../lib/str2rgbarray&quot;:517,&quot;../heatmap/find_empties&quot;:606,&quot;../heatmap/interp2d&quot;:607,&quot;gl-surface3d&quot;:163,ndarray:286,&quot;ndarray-fill&quot;:276,&quot;ndarray-homography&quot;:278}],657:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../components/colorscale/defaults&quot;),o=t(&quot;./attributes&quot;);function s(t,e,r){e in t&amp;&amp;!(r in t)&amp;&amp;(t[r]=t[e])}e.exports=function(t,e,r,l){var u,c;function f(r,n){return i.coerce(t,e,o,r,n)}var h=f(&quot;x&quot;),d=f(&quot;y&quot;),p=f(&quot;z&quot;);if(!p||!p.length||h&amp;&amp;h.length&lt;1||d&amp;&amp;d.length&lt;1)e.visible=!1;else{e._xlength=Array.isArray(h)&amp;&amp;i.isArrayOrTypedArray(h[0])?p.length:p[0].length,e._ylength=p.length,e._objectOffset=[0,0,0],n.getComponentMethod(&quot;calendars&quot;,&quot;handleTraceDefaults&quot;)(t,e,[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],l),f(&quot;text&quot;),f(&quot;hovertext&quot;),f(&quot;hovertemplate&quot;),[&quot;lighting.ambient&quot;,&quot;lighting.diffuse&quot;,&quot;lighting.specular&quot;,&quot;lighting.roughness&quot;,&quot;lighting.fresnel&quot;,&quot;lightposition.x&quot;,&quot;lightposition.y&quot;,&quot;lightposition.z&quot;,&quot;hidesurface&quot;,&quot;connectgaps&quot;,&quot;opacity&quot;].forEach(function(t){f(t)});var g=f(&quot;surfacecolor&quot;),v=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];for(u=0;u&lt;3;++u){var m=&quot;contours.&quot;+v[u],y=f(m+&quot;.show&quot;),b=f(m+&quot;.highlight&quot;);if(y||b)for(c=0;c&lt;3;++c)f(m+&quot;.project.&quot;+v[c]);y&amp;&amp;(f(m+&quot;.color&quot;),f(m+&quot;.width&quot;),f(m+&quot;.usecolormap&quot;)),b&amp;&amp;(f(m+&quot;.highlightcolor&quot;),f(m+&quot;.highlightwidth&quot;))}g||(s(t,&quot;zmin&quot;,&quot;cmin&quot;),s(t,&quot;zmax&quot;,&quot;cmax&quot;),s(t,&quot;zauto&quot;,&quot;cauto&quot;)),a(t,e,l,f,{prefix:&quot;&quot;,cLetter:&quot;c&quot;}),e._length=null}}},{&quot;../../components/colorscale/defaults&quot;:386,&quot;../../lib&quot;:495,&quot;../../registry&quot;:592,&quot;./attributes&quot;:654}],658:[function(t,e,r){&quot;use strict&quot;;var n={};n.attributes=t(&quot;./attributes&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.colorbar={min:&quot;cmin&quot;,max:&quot;cmax&quot;},n.calc=t(&quot;./calc&quot;),n.plot=t(&quot;./convert&quot;),n.moduleType=&quot;trace&quot;,n.name=&quot;surface&quot;,n.basePlotModule=t(&quot;../../plots/gl3d&quot;),n.categories=[&quot;gl3d&quot;,&quot;2dMap&quot;,&quot;noOpacity&quot;],n.meta={},e.exports=n},{&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:654,&quot;./calc&quot;:655,&quot;./convert&quot;:656,&quot;./defaults&quot;:657}]},{},[5])(5)});&lt;/script&gt;\n",
       "        &lt;script&gt;\n",
       "        function decodeBase64(encoded, dtype) {\n",
       "\n",
       "    let getter = {\n",
       "        &quot;float32&quot;: &quot;getFloat32&quot;,\n",
       "        &quot;int32&quot;: &quot;getInt32&quot;\n",
       "    }[dtype];\n",
       "\n",
       "    let arrayType = {\n",
       "        &quot;float32&quot;: Float32Array,\n",
       "        &quot;int32&quot;: Int32Array\n",
       "    }[dtype];\n",
       "\n",
       "    let raw = atob(encoded);\n",
       "    let buffer = new ArrayBuffer(raw.length);\n",
       "    let asIntArray = new Uint8Array(buffer);\n",
       "    for (let i = 0; i !== raw.length; i++) {\n",
       "        asIntArray[i] = raw.charCodeAt(i);\n",
       "    }\n",
       "\n",
       "    let view = new DataView(buffer);\n",
       "    let decoded = new arrayType(\n",
       "        raw.length / arrayType.BYTES_PER_ELEMENT);\n",
       "    for (let i = 0, off = 0; i !== decoded.length;\n",
       "        i++, off += arrayType.BYTES_PER_ELEMENT) {\n",
       "        decoded[i] = view[getter](off, true);\n",
       "    }\n",
       "    return decoded;\n",
       "}\n",
       "\n",
       "function getAxisConfig() {\n",
       "    let axisConfig = {\n",
       "        showgrid: false,\n",
       "        showline: false,\n",
       "        ticks: &#x27;&#x27;,\n",
       "        title: &#x27;&#x27;,\n",
       "        showticklabels: false,\n",
       "            zeroline: false,\n",
       "        showspikes: false,\n",
       "        spikesides: false\n",
       "    };\n",
       "\n",
       "    return axisConfig;\n",
       "}\n",
       "\n",
       "function getLighting() {\n",
       "    return {};\n",
       "    // i.e. use plotly defaults:\n",
       "    // {\n",
       "    //     &quot;ambient&quot;: 0.8,\n",
       "    //     &quot;diffuse&quot;: .8,\n",
       "    //     &quot;fresnel&quot;: .2,\n",
       "    //     &quot;specular&quot;: .05,\n",
       "    //     &quot;roughness&quot;: .5,\n",
       "    //     &quot;facenormalsepsilon&quot;: 1e-6,\n",
       "    //     &quot;vertexnormalsepsilon&quot;: 1e-12\n",
       "    // };\n",
       "\n",
       "}\n",
       "\n",
       "function getConfig() {\n",
       "    let config = {\n",
       "        modeBarButtonsToRemove: [&quot;hoverClosest3d&quot;],\n",
       "        displayLogo: false\n",
       "    };\n",
       "\n",
       "    return config;\n",
       "}\n",
       "\n",
       "function getCamera(plotDivId, viewSelectId) {\n",
       "    let view = $(&quot;#&quot; + viewSelectId).val();\n",
       "    if (view === &quot;custom&quot;) {\n",
       "        try {\n",
       "            return $(&quot;#&quot; + plotDivId)[0].layout.scene.camera;\n",
       "        } catch (e) {\n",
       "            return {};\n",
       "        }\n",
       "    }\n",
       "    let cameras = {\n",
       "        &quot;left&quot;: {eye: {x: -1.7, y: 0, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;right&quot;: {eye: {x: 1.7, y: 0, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;top&quot;: {eye: {x: 0, y: 0, z: 1.7},\n",
       "                up: {x: 0, y: 1, z: 0},\n",
       "                center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;bottom&quot;: {eye: {x: 0, y: 0, z: -1.7},\n",
       "                    up: {x: 0, y: 1, z: 0},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;front&quot;: {eye: {x: 0, y: 1.7, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;back&quot;: {eye: {x: 0, y: -1.7, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "    };\n",
       "\n",
       "    return cameras[view];\n",
       "\n",
       "}\n",
       "\n",
       "function getLayout(plotDivId, viewSelectId, blackBg) {\n",
       "\n",
       "    let camera = getCamera(plotDivId, viewSelectId);\n",
       "    let axisConfig = getAxisConfig();\n",
       "\n",
       "    let height = Math.min($(window).outerHeight() * .9,\n",
       "                            $(window).width() * 2 / 3);\n",
       "    let width = height * 3 / 2;\n",
       "\n",
       "    let layout = {\n",
       "        showlegend: false,\n",
       "        height: height, width: width,\n",
       "        margin: {l:0, r:0, b:0, t:0, pad:0},\n",
       "        hovermode: false,\n",
       "        paper_bgcolor: blackBg ? &#x27;#000&#x27;: &#x27;#fff&#x27;,\n",
       "        axis_bgcolor: &#x27;#333&#x27;,\n",
       "        scene: {\n",
       "            camera: camera,\n",
       "            xaxis: axisConfig,\n",
       "            yaxis: axisConfig,\n",
       "            zaxis: axisConfig\n",
       "        }\n",
       "    };\n",
       "\n",
       "    return layout;\n",
       "\n",
       "}\n",
       "\n",
       "function updateLayout(plotDivId, viewSelectId, blackBg) {\n",
       "    let layout = getLayout(\n",
       "        plotDivId, viewSelectId, blackBg);\n",
       "    Plotly.relayout(plotDivId, layout);\n",
       "}\n",
       "\n",
       "function textColor(black_bg){\n",
       "    if (black_bg){\n",
       "        return &quot;white&quot;;\n",
       "    }\n",
       "    return &quot;black&quot;;\n",
       "}\n",
       "\n",
       "function addColorbar(colorscale, cmin, cmax, divId, layout, config,\n",
       "                     fontsize=25, height=.5, color=&quot;black&quot;) {\n",
       "    // hack to get a colorbar\n",
       "    let dummy = {\n",
       "        &quot;opacity&quot;: 0,\n",
       "        &quot;colorbar&quot;: {&quot;tickfont&quot;: {&quot;size&quot;: fontsize, &quot;color&quot;: color},\n",
       "                     &quot;len&quot;: height},\n",
       "        &quot;type&quot;: &quot;mesh3d&quot;,\n",
       "        &quot;colorscale&quot;: colorscale,\n",
       "        &quot;x&quot;: [1, 0, 0],\n",
       "        &quot;y&quot;: [0, 1, 0],\n",
       "        &quot;z&quot;: [0, 0, 1],\n",
       "        &quot;i&quot;: [0],\n",
       "        &quot;j&quot;: [1],\n",
       "        &quot;k&quot;: [2],\n",
       "        &quot;intensity&quot;: [0.],\n",
       "        &quot;cmin&quot;: cmin,\n",
       "        &quot;cmax&quot;: cmax,\n",
       "    };\n",
       "\n",
       "    Plotly.plot(divId, [dummy], layout, config);\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "function decodeHemisphere(surfaceInfo, surface, hemisphere){\n",
       "\n",
       "    let info = surfaceInfo[surface + &quot;_&quot; + hemisphere];\n",
       "\n",
       "    for (let attribute of [&quot;x&quot;, &quot;y&quot;, &quot;z&quot;]) {\n",
       "        if (!(attribute in info)) {\n",
       "            info[attribute] = decodeBase64(\n",
       "                info[&quot;_&quot; + attribute], &quot;float32&quot;);\n",
       "        }\n",
       "    }\n",
       "\n",
       "    for (let attribute of [&quot;i&quot;, &quot;j&quot;, &quot;k&quot;]) {\n",
       "        if (!(attribute in info)) {\n",
       "            info[attribute] = decodeBase64(\n",
       "                info[&quot;_&quot; + attribute], &quot;int32&quot;);\n",
       "        }\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "        &lt;/script&gt;\n",
       "        \n",
       "\n",
       "    &lt;script&gt;\n",
       "        var surfaceMapInfo = {&quot;inflated_left&quot;: {&quot;_x&quot;: 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&quot;, 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&quot;, 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&quot;, 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false, &quot;full_brain_mesh&quot;: false, &quot;colorscale&quot;: [[0.0, &quot;rgb(255, 255, 255)&quot;], [0.01, &quot;rgb(239, 255, 255)&quot;], [0.02, &quot;rgb(215, 255, 255)&quot;], [0.03, &quot;rgb(199, 255, 255)&quot;], [0.04, &quot;rgb(176, 255, 255)&quot;], [0.051, &quot;rgb(160, 255, 255)&quot;], [0.061, &quot;rgb(136, 255, 255)&quot;], [0.071, &quot;rgb(113, 255, 255)&quot;], [0.081, &quot;rgb(97, 255, 255)&quot;], [0.091, &quot;rgb(73, 255, 255)&quot;], [0.101, &quot;rgb(58, 255, 255)&quot;], [0.111, &quot;rgb(34, 255, 255)&quot;], [0.121, &quot;rgb(10, 255, 255)&quot;], [0.131, &quot;rgb(0, 251, 255)&quot;], [0.141, &quot;rgb(0, 235, 255)&quot;], [0.152, &quot;rgb(0, 225, 255)&quot;], [0.162, &quot;rgb(0, 209, 255)&quot;], [0.172, &quot;rgb(0, 199, 255)&quot;], [0.182, &quot;rgb(0, 183, 255)&quot;], [0.192, &quot;rgb(0, 167, 255)&quot;], [0.202, &quot;rgb(0, 157, 255)&quot;], [0.212, &quot;rgb(0, 141, 255)&quot;], [0.222, &quot;rgb(0, 131, 255)&quot;], [0.232, &quot;rgb(0, 115, 255)&quot;], [0.242, &quot;rgb(0, 99, 255)&quot;], [0.253, &quot;rgb(0, 89, 255)&quot;], [0.263, &quot;rgb(0, 73, 255)&quot;], [0.273, &quot;rgb(0, 62, 255)&quot;], [0.283, &quot;rgb(0, 47, 255)&quot;], [0.293, &quot;rgb(0, 36, 255)&quot;], [0.303, &quot;rgb(0, 20, 255)&quot;], [0.313, &quot;rgb(0, 5, 255)&quot;], [0.323, &quot;rgb(0, 0, 249)&quot;], [0.333, &quot;rgb(0, 0, 233)&quot;], [0.343, &quot;rgb(0, 0, 223)&quot;], [0.354, &quot;rgb(0, 0, 207)&quot;], [0.364, &quot;rgb(0, 0, 191)&quot;], [0.374, &quot;rgb(0, 0, 181)&quot;], [0.384, &quot;rgb(0, 0, 165)&quot;], [0.394, &quot;rgb(0, 0, 154)&quot;], [0.404, &quot;rgb(0, 0, 139)&quot;], [0.414, &quot;rgb(0, 0, 123)&quot;], [0.424, &quot;rgb(0, 0, 112)&quot;], [0.434, &quot;rgb(0, 0, 97)&quot;], [0.444, &quot;rgb(0, 0, 86)&quot;], [0.455, &quot;rgb(0, 0, 70)&quot;], [0.465, &quot;rgb(0, 0, 60)&quot;], [0.475, &quot;rgb(0, 0, 44)&quot;], [0.485, &quot;rgb(0, 0, 28)&quot;], [0.495, &quot;rgb(0, 0, 18)&quot;], [0.505, &quot;rgb(18, 0, 0)&quot;], [0.515, &quot;rgb(28, 0, 0)&quot;], [0.525, &quot;rgb(44, 0, 0)&quot;], [0.535, &quot;rgb(60, 0, 0)&quot;], [0.545, &quot;rgb(70, 0, 0)&quot;], [0.556, &quot;rgb(86, 0, 0)&quot;], [0.566, &quot;rgb(97, 0, 0)&quot;], [0.576, &quot;rgb(112, 0, 0)&quot;], [0.586, &quot;rgb(123, 0, 0)&quot;], [0.596, &quot;rgb(139, 0, 0)&quot;], [0.606, &quot;rgb(154, 0, 0)&quot;], [0.616, &quot;rgb(165, 0, 0)&quot;], [0.626, &quot;rgb(181, 0, 0)&quot;], [0.636, &quot;rgb(191, 0, 0)&quot;], [0.646, &quot;rgb(207, 0, 0)&quot;], [0.657, &quot;rgb(223, 0, 0)&quot;], [0.667, &quot;rgb(233, 0, 0)&quot;], [0.677, &quot;rgb(249, 0, 0)&quot;], [0.687, &quot;rgb(255, 5, 0)&quot;], [0.697, &quot;rgb(255, 20, 0)&quot;], [0.707, &quot;rgb(255, 36, 0)&quot;], [0.717, &quot;rgb(255, 47, 0)&quot;], [0.727, &quot;rgb(255, 62, 0)&quot;], [0.737, &quot;rgb(255, 73, 0)&quot;], [0.747, &quot;rgb(255, 89, 0)&quot;], [0.758, &quot;rgb(255, 99, 0)&quot;], [0.768, &quot;rgb(255, 115, 0)&quot;], [0.778, &quot;rgb(255, 131, 0)&quot;], [0.788, &quot;rgb(255, 141, 0)&quot;], [0.798, &quot;rgb(255, 157, 0)&quot;], [0.808, &quot;rgb(255, 167, 0)&quot;], [0.818, &quot;rgb(255, 183, 0)&quot;], [0.828, &quot;rgb(255, 199, 0)&quot;], [0.838, &quot;rgb(255, 209, 0)&quot;], [0.848, &quot;rgb(255, 225, 0)&quot;], [0.859, &quot;rgb(255, 235, 0)&quot;], [0.869, &quot;rgb(255, 251, 0)&quot;], [0.879, &quot;rgb(255, 255, 10)&quot;], [0.889, &quot;rgb(255, 255, 34)&quot;], [0.899, &quot;rgb(255, 255, 58)&quot;], [0.909, &quot;rgb(255, 255, 73)&quot;], [0.919, &quot;rgb(255, 255, 97)&quot;], [0.929, &quot;rgb(255, 255, 113)&quot;], [0.939, &quot;rgb(255, 255, 136)&quot;], [0.949, &quot;rgb(255, 255, 160)&quot;], [0.96, &quot;rgb(255, 255, 176)&quot;], [0.97, &quot;rgb(255, 255, 199)&quot;], [0.98, &quot;rgb(255, 255, 215)&quot;], [0.99, &quot;rgb(255, 255, 239)&quot;], [1.0, &quot;rgb(255, 255, 255)&quot;]], &quot;colorbar&quot;: true, &quot;cbar_height&quot;: 0.5, &quot;cbar_fontsize&quot;: 25, &quot;title&quot;: null, &quot;title_fontsize&quot;: 25};\n",
       "\n",
       "\n",
       "        function makePlot(surface, hemisphere, divId) {\n",
       "\n",
       "            decodeHemisphere(surfaceMapInfo, surface, hemisphere);\n",
       "            var info = surfaceMapInfo[surface + &quot;_&quot; + hemisphere];\n",
       "            info[&quot;type&quot;] = &quot;mesh3d&quot;;\n",
       "            info[&quot;vertexcolor&quot;] = surfaceMapInfo[&quot;vertexcolor_&quot; + hemisphere];\n",
       "\n",
       "            let data = [info];\n",
       "\n",
       "            info[&#x27;lighting&#x27;] = getLighting();\n",
       "            let layout = getLayout(&quot;surface-plot&quot;, &quot;select-view&quot;,\n",
       "                                   surfaceMapInfo[&quot;black_bg&quot;]);\n",
       "            layout[&#x27;title&#x27;] = {\n",
       "                text: surfaceMapInfo[&#x27;title&#x27;],\n",
       "                font: {size: surfaceMapInfo[&quot;title_fontsize&quot;],\n",
       "                       color: textColor(surfaceMapInfo[&quot;black_bg&quot;])},\n",
       "                yref: &#x27;paper&#x27;,\n",
       "                y: .95};\n",
       "            let config = getConfig();\n",
       "\n",
       "            Plotly.react(divId, data, layout, config);\n",
       "\n",
       "            if(surfaceMapInfo[&quot;colorbar&quot;]){\n",
       "                addColorbar(surfaceMapInfo[&quot;colorscale&quot;],\n",
       "                            surfaceMapInfo[&quot;cmin&quot;],\n",
       "                            surfaceMapInfo[&quot;cmax&quot;],\n",
       "                            divId, layout, config,\n",
       "                            surfaceMapInfo[&quot;cbar_fontsize&quot;],\n",
       "                            surfaceMapInfo[&quot;cbar_height&quot;],\n",
       "                            color=textColor(surfaceMapInfo[&quot;black_bg&quot;]));\n",
       "            }\n",
       "        }\n",
       "\n",
       "        function addPlot() {\n",
       "\n",
       "            let hemisphere = $(&quot;#select-hemisphere&quot;).val();\n",
       "            let kind = $(&quot;#select-kind&quot;).val();\n",
       "            makePlot(kind, hemisphere, &quot;surface-plot&quot;);\n",
       "        }\n",
       "\n",
       "        function surfaceRelayout(){\n",
       "            return updateLayout(&quot;surface-plot&quot;, &quot;select-view&quot;,\n",
       "                                surfaceMapInfo[&quot;black_bg&quot;]);\n",
       "        }\n",
       "\n",
       "    &lt;/script&gt;\n",
       "    &lt;script&gt;\n",
       "        $(document).ready(\n",
       "            function() {\n",
       "                if(surfaceMapInfo[&quot;full_brain_mesh&quot;]){\n",
       "                    $(&quot;#select-hemisphere&quot;).change(addPlot);\n",
       "                    $(&quot;#select-kind&quot;).change(addPlot);\n",
       "                }\n",
       "                else{\n",
       "                    $(&quot;#select-hemisphere&quot;).hide();\n",
       "                    $(&quot;#select-kind&quot;).hide();\n",
       "                }\n",
       "                addPlot();\n",
       "                $(&quot;#select-view&quot;).change(surfaceRelayout);\n",
       "                $(&quot;#surface-plot&quot;).mouseup(function() {\n",
       "                    $(&quot;#select-view&quot;).val(&quot;custom&quot;);\n",
       "                });\n",
       "                $(window).resize(surfaceRelayout);\n",
       "\n",
       "            });\n",
       "    &lt;/script&gt;\n",
       "&lt;/head&gt;\n",
       "\n",
       "&lt;body&gt;\n",
       "    &lt;div id=&quot;surface-plot&quot;&gt;&lt;/div&gt;\n",
       "\n",
       "    &lt;select id=&quot;select-hemisphere&quot;&gt;\n",
       "        &lt;option value=&quot;left&quot;&gt;Left hemisphere&lt;/option&gt;\n",
       "        &lt;option value=&quot;right&quot;&gt;Right hemisphere&lt;/option&gt;\n",
       "    &lt;/select&gt;\n",
       "\n",
       "    &lt;select id=&quot;select-kind&quot;&gt;\n",
       "        &lt;option value=&quot;inflated&quot;&gt;Inflated&lt;/option&gt;\n",
       "        &lt;option value=&quot;pial&quot;&gt;Pial&lt;/option&gt;\n",
       "    &lt;/select&gt;\n",
       "\n",
       "    &lt;select id=&quot;select-view&quot;&gt;\n",
       "        &lt;option value=&quot;left&quot;&gt;view: Left&lt;/option&gt;\n",
       "        &lt;option value=&quot;right&quot;&gt;view: Right&lt;/option&gt;\n",
       "        &lt;option value=&quot;front&quot;&gt;view: Front&lt;/option&gt;\n",
       "        &lt;option value=&quot;back&quot;&gt;view: Back&lt;/option&gt;\n",
       "        &lt;option value=&quot;top&quot;&gt;view: Top&lt;/option&gt;\n",
       "        &lt;option value=&quot;bottom&quot;&gt;view: Bottom&lt;/option&gt;\n",
       "        &lt;option value=&quot;custom&quot;&gt;view: -&lt;/option&gt;\n",
       "    &lt;/select&gt;\n",
       "\n",
       "&lt;/body&gt;\n",
       "\n",
       "&lt;/html&gt;\n",
       "\" width=\"600\" height=\"400\" frameBorder=\"0\"></iframe>"
      ],
      "text/plain": [
       "<nilearn.plotting.html_surface.SurfaceView at 0x7f6f561e6910>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This uses the nilearn package\n",
    "from nilearn import plotting, datasets\n",
    "\n",
    "# Try both hemispheres (L->R and left->right)\n",
    "fsaverage = datasets.fetch_surf_fsaverage()\n",
    "surf_contrast = group_contrast[atlas[\"labels_L\"]]\n",
    "plotting.view_surf(fsaverage['infl_left'],\n",
    "                   surf_contrast,\n",
    "                   vmax=20)"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "include_colab_link": true,
   "name": "load_hcp_task_with_behaviour",
   "provenance": [],
   "toc_visible": true
  },
  "kernel": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "name": "python3"
  },
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}