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   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SLIP\n",
    "## a Simple Library for Image Processing\n",
    "\n",
    "\n",
    "Table of content\n",
    "\n",
    "* [What is the SLIP package?](#What-is-the-SLIP-package?) \n",
    "* [Installing](#Install) \n",
    "* [Reading an image](#Reading-an-image)\n",
    "* [Importing the library](#Importing-the-library)\n",
    "* [Filtering](#Filtering) \n",
    "* [Whitening](#Whitening) \n",
    "* [Handling a database](#Handling-a-database)\n",
    "* [An application: statistics of natural images](#An-application:-statistics-of-natural-images)\n",
    "\n",
    "\n",
    "## What is the SLIP package?\n",
    "\n",
    "The ``SLIP`` library (https://github.com/bicv/SLIP) defines a simple object-oriented class for gray-scale image processing. Use it to create a SLIP object with a dedicated image size (and optionnaly some other useful parameters) - which you can use to apply common image processing routines to your images."
   ]
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     "text": [
      "Help on Image in module SLIP.SLIP object:\n",
      "\n",
      "class Image(builtins.object)\n",
      " |  Image(pe='https://raw.githubusercontent.com/bicv/SLIP/master/default_param.py')\n",
      " |  \n",
      " |  This library collects different Image Processing tools.\n",
      " |  \n",
      " |  Fork me on https://github.com/bicv/SLIP !\n",
      " |  \n",
      " |  This library is used in other projects, in particular  for use with the ``LogGabor`` and ``SparseEdges`` libraries\n",
      " |  For more information check respective pages @\n",
      " |      - http://pythonhosted.org/LogGabor and\n",
      " |      - http://pythonhosted.org/SparseEdges\n",
      " |  \n",
      " |  Collects image processing routines for one given image size:\n",
      " |   - Some classical related to pure Fourier number crunching:\n",
      " |      - creating masks\n",
      " |      - normalize,\n",
      " |      - fourier_grid : defines a useful grid for generating filters in FFT\n",
      " |      - show_FT : displays the envelope and impulse response of a filter\n",
      " |      - invert : go to the other of the fourier transform\n",
      " |  - Some usual application of Fourier filtering:\n",
      " |      - trans : translation filter in Fourier space\n",
      " |      - whitening procedures\n",
      " |   - Some related to handling experiments:\n",
      " |      - load_in_database : loads a random image in a folder and\n",
      " |      - patch : takes a random patch of the correct size\n",
      " |  \n",
      " |  Methods defined here:\n",
      " |  \n",
      " |  FTfilter(self, image, FT_filter, full=False)\n",
      " |      Using the ``FTfilter`` function, it is easy to filter an image with a filter defined in Fourier space.\n",
      " |  \n",
      " |  __init__(self, pe='https://raw.githubusercontent.com/bicv/SLIP/master/default_param.py')\n",
      " |      Initializes the Image class\n",
      " |      \n",
      " |      May take as input:\n",
      " |      \n",
      " |      - a dictionary containing parameters\n",
      " |      - a ``ndarray`` (dimensions ``N_X`` and ``N_Y`` are guessed from this array)\n",
      " |      - a string representing a file or URL pointing to an image file\n",
      " |      - a string pointing to  a file or URL containing a dictionary of parameters (or simply the name of the file)\n",
      " |      - a ``NeuroTools.parameters.ParameterSet`` object containing parameters\n",
      " |      \n",
      " |      Parameters are\n",
      " |      \n",
      " |      - N_X and N_Y which are respectively the number of pixels in the vertical and horizontal dimensions respectively (MANDATORY)\n",
      " |      - optional parameters which are used in the various functions such as N_image when handling a database or the whitening parameters.\n",
      " |  \n",
      " |  dewhitening(self, white, preprocess=True, center=True, use_max=True, f_0=None)\n",
      " |      Returns the dewhitened image\n",
      " |  \n",
      " |  enveloppe_color(self, alpha)\n",
      " |  \n",
      " |  extract_patches_2d(self, image, patch_size, N_patches)\n",
      " |      Reshape a 2D image into a collection of patches\n",
      " |      \n",
      " |      redundant with self.patch, but similar call as\n",
      " |      https://github.com/scikit-learn/scikit-learn/blob/14031f6/sklearn/feature_extraction/image.py#L300\n",
      " |  \n",
      " |  fourier(self, image, full=True)\n",
      " |      Using the ``fourierr`` function, it is easy to retieve its Fourier transformation.\n",
      " |  \n",
      " |  fourier_grid(self)\n",
      " |      use that function to define a reference frame for envelopes in Fourier space.\n",
      " |      In general, it is more efficient to define dimensions as powers of 2.\n",
      " |  \n",
      " |  frequency_angle(self)\n",
      " |  \n",
      " |  frequency_radius(self)\n",
      " |  \n",
      " |  full_url(self, name_database)\n",
      " |  \n",
      " |  get_imagelist(self, exp, name_database='natural')\n",
      " |      returns an imagelist from a pickled database.\n",
      " |      \n",
      " |      If the stored imagelist does not exist, creates it.\n",
      " |      The ``exp`` string allows to tag the list for a particular experiment.\n",
      " |  \n",
      " |  get_pe(self, pe)\n",
      " |      Guesses the parameters from the init variable\n",
      " |      \n",
      " |      We perform a duck-typing to guess parameters from different possible sources.\n",
      " |      outputs a ParameterSet\n",
      " |  \n",
      " |  get_size(self, im)\n",
      " |  \n",
      " |  hist_radial_frequency(self, FT, N_f=20)\n",
      " |      A simple function to compute a radial histogram in different spatial frequency bands.\n",
      " |  \n",
      " |  imread(self, URL, resize=True)\n",
      " |  \n",
      " |  imshow(self, image, fig=None, ax=None, cmap=<matplotlib.colors.LinearSegmentedColormap object at 0x1204a5bb0>, axis=False, norm=True, center=True, xlabel='Y axis', ylabel='X axis', figsize=None, mask=False, vmin=-1, vmax=1)\n",
      " |      Plotting routine to show an image\n",
      " |      \n",
      " |      Place the [0,0] index of the array in the upper left  corner of the axes.\n",
      " |      Data limits for the axes. The default assigns zero-based row, column\n",
      " |      indices to the x, y centers of the pixels.\n",
      " |      Note that the convention for coordinates follows that of matrices: the\n",
      " |      origin is at the top left of the image, and coordinates are first the\n",
      " |      rows (vertical axis, going down) then the columns (horizontal axis,\n",
      " |      going right).\n",
      " |  \n",
      " |  init(self, mask_exponent=3.0)\n",
      " |      Initializes different convenient matrices for image processing.\n",
      " |      \n",
      " |      To be called when keeping the same Image object but changing the size of the image.\n",
      " |  \n",
      " |  init_logging(self, filename='debug.log', name='SLIP')\n",
      " |  \n",
      " |  invert(self, FT_image, full=False)\n",
      " |      # Fourier number crunching\n",
      " |  \n",
      " |  list_database(self, name_database)\n",
      " |      Returns a list of the files in a folder\n",
      " |  \n",
      " |  load_in_database(self, name_database, i_image=None, filename=None, verbose=True)\n",
      " |      Loads a random image from the database ``name_database``.\n",
      " |      \n",
      " |      The strategy is to pick one image in the folder using the list provided by the ``list_database``function.\n",
      " |      \n",
      " |      TODO: it would be useful to be able to load from standard databases such as http://www.cps.utexas.edu/natural_scenes/db.shtml\n",
      " |  \n",
      " |  low_pass(self, f_0, steepness)\n",
      " |      Returns the low_pass filter used by (Olshausen, 98)\n",
      " |      \n",
      " |      parameters from Atick (p.240)\n",
      " |      f_0 = 22 c/deg in primates: the full image is approx 45 deg\n",
      " |      alpha makes the aspect change (1=diamond on the vert and hor, 2 = anisotropic)\n",
      " |      \n",
      " |      from Olshausen 98 (p.11):\n",
      " |      f_0  = 200 cycles / image (512 x 512 images)\n",
      " |      in absolute coordinates : f_0 = 200 / 512 / 2\n",
      " |      \n",
      " |      steepness is to produce a \"fairly sharp cutoff\"\n",
      " |  \n",
      " |  make_imagelist(self, name_database, verbose=False)\n",
      " |      Makes a list of images with no repetition.\n",
      " |      \n",
      " |      Takes as an input the name of a database (the name of a folder in the ``datapath``),\n",
      " |      returns a list of the filenames along with the crop area.\n",
      " |  \n",
      " |  mkdir(self)\n",
      " |      Initializes two folders for storing intermediate matrices and images.\n",
      " |      \n",
      " |      To be called before any operation to store or retrieve a result or figure.\n",
      " |  \n",
      " |  normalize(self, image, center=True, use_max=True)\n",
      " |  \n",
      " |  olshausen_whitening_filt(self, f_0)\n",
      " |      Returns the whitening filter used by (Olshausen, 98)\n",
      " |  \n",
      " |  patch(self, name_database, i_image=None, filename=None, croparea=None, threshold=0.2, verbose=True, preprocess=True, center=True, use_max=True, do_whitening=False)\n",
      " |      takes a subimage of size s (a tuple)\n",
      " |      \n",
      " |      does not accept if energy is relatively below a threshold (flat image)\n",
      " |  \n",
      " |  pipeline(self, image, preprocess=True, center=True, use_max=True, do_whitening=False)\n",
      " |      pre-processing pipeline\n",
      " |  \n",
      " |  power_spectrum(self, image)\n",
      " |  \n",
      " |  preprocess(self, image)\n",
      " |      Returns the pre-processed image\n",
      " |      \n",
      " |      From raw pixelized images, we want to keep information that is relevent to the content of\n",
      " |      the objects in the image. In particular, we want to avoid:\n",
      " |      \n",
      " |          - information that would not be uniformly distributed when rotating the image. In\n",
      " |          particular, we discard information outside the unit disk in Fourier space, in particular\n",
      " |          above the Nyquist frequency,\n",
      " |          - information that relates to information of the order the size of the image. This\n",
      " |          involves discarding information at low-level frequencies.\n",
      " |      \n",
      " |      See https://laurentperrinet.github.io/sciblog/posts/2015-05-21-a-simple-pre-processing-filter-for-image-processing.html\n",
      " |      for more information.\n",
      " |  \n",
      " |  retina(self, df=0.07, sigma=0.5)\n",
      " |      A parametric description of the envelope of retinal processsing.\n",
      " |      See https://laurentperrinet.github.io/sciblog/posts/2015-05-21-a-simple-pre-processing-filter-for-image-processing.html\n",
      " |      for more information.\n",
      " |      \n",
      " |      In digital images, some of the energy in Fourier space is concentrated outside the\n",
      " |      disk corresponding to the Nyquist frequency. Let's design a filter with:\n",
      " |      \n",
      " |          - a sharp cut-off for radial frequencies higher than the Nyquist frequency,\n",
      " |          - times a smooth but sharp transition (implemented with a decaying exponential),\n",
      " |          - times a high-pass filter designed by one minus a gaussian blur.\n",
      " |      \n",
      " |      This filter is rotation invariant.\n",
      " |      \n",
      " |      Note that this filter is defined by two parameters:\n",
      " |          - one for scaling the smoothness of the transition in the high-frequency range,\n",
      " |          - one for the characteristic length of the high-pass filter.\n",
      " |      \n",
      " |      The first is defined relative to the Nyquist frequency (in absolute values) while the second\n",
      " |      is relative to the size of the image in pixels and is given in number of pixels.\n",
      " |  \n",
      " |  savefig(self, fig, fname, figpath='', formats=None, display=True)\n",
      " |  \n",
      " |  set_size(self, im)\n",
      " |      Re-initializes the Image class with  the size given in ``im``\n",
      " |      \n",
      " |      May take as input:\n",
      " |      \n",
      " |      - a numpy array,\n",
      " |      - a string representing a file or URL pointing to an image file\n",
      " |      - a tuple\n",
      " |      \n",
      " |      Updated parameters are\n",
      " |      \n",
      " |      - N_X and N_Y which are respectively the number of pixels in the vertical and horizontal dimensions respectively (MANDATORY)\n",
      " |  \n",
      " |  show_FT(self, FT_image, fig=None, figsize=None, a1=None, a2=None, axis=False, title=True, FT_title='Spectrum', im_title='Image', norm=True, vmin=-1.0, vmax=1.0)\n",
      " |  \n",
      " |  show_image_FT(self, image, FT_image, fig=None, figsize=None, a1=None, a2=None, axis=False, title=True, FT_title='Spectrum', im_title='Image', norm=True, vmin=-1.0, vmax=1.0)\n",
      " |  \n",
      " |  show_spectrum(self, image, fig=None, figsize=None, a1=None, a2=None, axis=False, title=True, FT_title='Spectrum', im_title='Image', norm=True, vmin=-1.0, vmax=1.0)\n",
      " |  \n",
      " |  trans(self, u, v)\n",
      " |  \n",
      " |  translate(self, image, vec, preshift=True)\n",
      " |      Translate image by vec (in pixels)\n",
      " |      \n",
      " |      Note that the convention for coordinates follows that of matrices: the origin is at the top left of the image, and coordinates are first the rows (vertical axis, going down) then the columns (horizontal axis, going right).\n",
      " |  \n",
      " |  whitening(self, image, f_0=None)\n",
      " |      Returns the whitened image\n",
      " |  \n",
      " |  whitening_filt(self, recompute=False, f_0=None)\n",
      " |      Returns the envelope of the whitening filter.\n",
      " |      \n",
      " |      if we chose one based on structural assumptions (``struct=True``)\n",
      " |          then we return a 1/f spectrum based on the assumption that the structure of images\n",
      " |          is self-similar and thus that the Fourier spectrum scales a priori in 1/f.\n",
      " |      \n",
      " |      elif we chose to learn,\n",
      " |          returns theaverage correlation filter in FT space.\n",
      " |      \n",
      " |          Computes the average power spectrum = FT of cross-correlation, the mean decorrelation\n",
      " |          is given for instance by (Attick, 92).\n",
      " |      \n",
      " |      else\n",
      " |          we return the parametrization based on Olshausen, 1996\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors defined here:\n",
      " |  \n",
      " |  __dict__\n",
      " |      dictionary for instance variables (if defined)\n",
      " |  \n",
      " |  __weakref__\n",
      " |      list of weak references to the object (if defined)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from SLIP import Image, imread\n",
    "im = Image(pe='https://raw.githubusercontent.com/bicv/SLIP/master/default_param.py')\n",
    "help(im)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Back to top](#SLIP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Installing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Requirements :\n",
    "\n",
    "* numpy\n",
    "* scipy\n",
    "* NeuroTools\n",
    "* ipython\n",
    "* matplotlib\n",
    "\n",
    "To install them, use\n",
    "\n",
    "    pip install -U -r requirements.txt\n",
    "    \n",
    "Install using pip:\n",
    "\n",
    "    pip install -U SLIP"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "!pip install -r requirements.txt\n",
    "!pip install -U SLIP"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "!pip install -U ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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     "start_time": "2018-06-19T07:17:02.202721Z"
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   "source": [
    "import os\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "fig_width = 12\n",
    "figsize=(fig_width, .618*fig_width)\n",
    "fopts = {'fontsize':18}\n",
    "opts= {'cmap': plt.cm.gray, 'vmin':-1., 'vmax':1., 'interpolation':'nearest', 'origin':'upper'}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Back to top](#SLIP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading an image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:02.284886Z",
     "start_time": "2018-06-19T07:17:02.260302Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function imread in module SLIP.SLIP:\n",
      "\n",
      "imread(URL, grayscale=True, rgb2gray=[0.2989, 0.587, 0.114])\n",
      "    Loads whatever image. Returns a grayscale (2D) image.\n",
      "    \n",
      "    Note that the convention for coordinates follows that of matrices: the origin is at the top left of the image, and coordinates are first the rows (vertical axis, going down) then the columns (horizontal axis, going right).\n",
      "    \n",
      "    These scalar values correspond to the grayscale luminance: \"The intensity of a pixel is expressed within a given range between a minimum and a maximum, inclusive. This range is represented in an abstract way as a range from 0 (total absence, black) and 1 (total presence, white), with any fractional values in between.\" This range is here between 0 and 1.\n",
      "    \n",
      "    If ``grayscale`` is True, a grayscale image is obtained by summing over channels following the formula:\n",
      "    \n",
      "    Y  = 0.2989 * R + 0.5870 * G + 0.1140 * B\n",
      "    \n",
      "    http://docs.opencv.org/2.4/modules/imgproc/doc/miscellaneous_transformations.html#cvtcolor\n",
      "    which corresponds to the definition of luma:\n",
      "    http://www.poynton.com/notes/colour_and_gamma/ColorFAQ.html#RTFToC11\n",
      "    \n",
      "    This function tries to guess at best the range and format.\n",
      "    If that fails, returns a string with the error message.\n",
      "    \n",
      "    TODO: the above formula is an approximation of the official conversion:\n",
      "    \n",
      "        Y = 0.2126 * R + 0.7152 * G + 0.0722 * B\n",
      "    \n",
      "    in the linear RGB space.\n",
      "    (see https://en.wikipedia.org/wiki/Grayscale#Colorimetric_.28luminance-preserving.29_conversion_to_grayscale)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from SLIP import imread\n",
    "help(imread)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:08.255273Z",
     "start_time": "2018-06-19T07:17:02.287630Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "list_images = ['http://static.prsa.pl/images/fad62735-b1c7-4ff4-811e-928b42fa1c89.jpg', \n",
    "                            'http://www.cosy.sbg.ac.at/~pmeerw/Watermarking/lena_color.gif', \n",
    "                            'https://upload.wikimedia.org/wikipedia/commons/e/e3/The_Horsehead_Nebula_IC434.jpg',\n",
    "                            'https://upload.wikimedia.org/wikipedia/commons/thumb/a/a3/Filterstef.JPG/330px-Filterstef.JPG']\n",
    "fig, ax = plt.subplots(1, len(list_images), figsize=figsize)\n",
    "for i, URL in enumerate(list_images):\n",
    "    ax[i].imshow(imread(URL), cmap=plt.gray())    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "[Back to top](#SLIP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing the library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:08.283177Z",
     "start_time": "2018-06-19T07:17:08.257288Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on method __init__ in module SLIP.SLIP:\n",
      "\n",
      "__init__(pe='https://raw.githubusercontent.com/bicv/SLIP/master/default_param.py') method of SLIP.SLIP.Image instance\n",
      "    Initializes the Image class\n",
      "    \n",
      "    May take as input:\n",
      "    \n",
      "    - a dictionary containing parameters\n",
      "    - a ``ndarray`` (dimensions ``N_X`` and ``N_Y`` are guessed from this array)\n",
      "    - a string representing a file or URL pointing to an image file\n",
      "    - a string pointing to  a file or URL containing a dictionary of parameters (or simply the name of the file)\n",
      "    - a ``NeuroTools.parameters.ParameterSet`` object containing parameters\n",
      "    \n",
      "    Parameters are\n",
      "    \n",
      "    - N_X and N_Y which are respectively the number of pixels in the vertical and horizontal dimensions respectively (MANDATORY)\n",
      "    - optional parameters which are used in the various functions such as N_image when handling a database or the whitening parameters.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "N_X, N_Y = 128, 128\n",
    "N_X, N_Y = 129, 129 # testing if it works with an even size\n",
    "im = Image((N_X, N_Y))\n",
    "help(im.__init__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Back to top](#SLIP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filtering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:08.313444Z",
     "start_time": "2018-06-19T07:17:08.285421Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on method FTfilter in module SLIP.SLIP:\n",
      "\n",
      "FTfilter(image, FT_filter, full=False) method of SLIP.SLIP.Image instance\n",
      "    Using the ``FTfilter`` function, it is easy to filter an image with a filter defined in Fourier space.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(im.FTfilter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:08.701142Z",
     "start_time": "2018-06-19T07:17:08.316430Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from SLIP import Image\n",
    "sf_0 = 0.15\n",
    "B_sf = 0.05\n",
    "theta_0 = np.pi/2\n",
    "B_theta = 0.15\n",
    "loggabor = True\n",
    "\n",
    "def envelope_radial(im, sf_0=sf_0, B_sf=B_sf, loggabor=loggabor, norm=True):\n",
    "    if sf_0 == 0.: return 1.\n",
    "    if loggabor:\n",
    "        env = 1./im.f*np.exp(-.5*(np.log(im.f/sf_0)**2)/(np.log((sf_0+B_sf)/sf_0)**2))\n",
    "        if norm: env /= np.sqrt((env**2).sum())\n",
    "        return env\n",
    "    else:\n",
    "        return np.exp(-.5*(im.f - sf_0)**2/B_sf**2)\n",
    "\n",
    "im = Image('default_param.py')\n",
    "env = envelope_radial(im)\n",
    "\n",
    "fig, ax = plt.subplots(1, 4, figsize=figsize)\n",
    "for i, (f, label) in enumerate(zip([im.f_x, im.f_y, im.f, env], ['f_x', 'f_y', 'f_r', 'envelope'])):\n",
    "    ax[i].matshow(f)\n",
    "    ax[i].set_title(label)\n",
    "    ax[i].set_xticks([])\n",
    "    ax[i].set_yticks([])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:08.974072Z",
     "start_time": "2018-06-19T07:17:08.703392Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def envelope_orientation(im, theta_0=theta_0, B_theta=B_theta, norm=True):\n",
    "    env =  np.exp(np.cos(2*(im.f_theta-theta_0))/B_theta**2)\n",
    "    if norm: env /= np.sqrt((env**2).sum())\n",
    "    return env\n",
    "\n",
    "\n",
    "env = envelope_radial(im) * envelope_orientation(im)\n",
    "\n",
    "fig, ax = plt.subplots(1, 4, figsize=figsize)\n",
    "for i, (f, label) in enumerate(zip([im.f_x, im.f_y, im.f, env], ['f_x', 'f_y', 'f_r', 'env'])):\n",
    "    ax[i].matshow(f)\n",
    "    ax[i].set_title(label)\n",
    "    ax[i].set_xticks([])\n",
    "    ax[i].set_yticks([])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:09.695008Z",
     "start_time": "2018-06-19T07:17:08.976279Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# one can then easily generate a texture\n",
    "theta0 = np.pi/2\n",
    "Btheta = 0.15\n",
    "theta_0 = [0, np.pi/4, np.pi/2]\n",
    "B_theta = [0.1, 0.5, 1.]\n",
    "\n",
    "def texture(env):\n",
    "    return np.fft.fft2(np.fft.ifftshift(env * np.exp(1j * 2 * np.pi * np.random.rand(env.shape[0], env.shape[1])))).real\n",
    "\n",
    "def impulse(env, phi=2 * np.pi):\n",
    "    I = np.fft.fftshift(np.fft.ifft2(np.fft.ifftshift(env * np.exp(1j * phi))).real)\n",
    "    I /= env.sum()\n",
    "    return I\n",
    "\n",
    "fig, ax = plt.subplots(1, 3, figsize=(fig_width, fig_width*6/18))\n",
    "for i, (theta0_, label) in enumerate(zip(theta_0, [r'$\\theta = 0 = \\pi$', r'$\\theta = \\pi/4$', r'$\\theta = \\pi/2$']) ) :\n",
    "    env = envelope_radial(im) * envelope_orientation(im, theta_0=theta0_, B_theta=Btheta)\n",
    "    I = texture(env)\n",
    "    ax[i].matshow(I, cmap=plt.cm.gray)\n",
    "    ax[i].set_title(label)\n",
    "    ax[i].set_xticks([])\n",
    "    ax[i].set_yticks([])\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:10.165392Z",
     "start_time": "2018-06-19T07:17:09.697083Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3, figsize=(fig_width, fig_width*6/18))\n",
    "for i, (Btheta_, label) in enumerate(zip(B_theta, [r'$B_\\theta = 0.1$', r'$B_\\theta = 0.5$', r'$B_\\theta = 1.0$']) ) :\n",
    "    env = envelope_radial(im) * envelope_orientation(im, theta_0=theta0, B_theta=Btheta_)\n",
    "    I = texture(env)\n",
    "    ax[i].matshow(I, cmap=plt.cm.gray)\n",
    "    ax[i].set_title(label)\n",
    "    ax[i].set_xticks([])\n",
    "    ax[i].set_yticks([])\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:10.471383Z",
     "start_time": "2018-06-19T07:17:10.167289Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "env_in = envelope_radial(im) * envelope_orientation(im)\n",
    "env_V1 = envelope_radial(im) * envelope_orientation(im, theta_0=np.random.rand()*np.pi)\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=figsize)\n",
    "for i, (f, label) in enumerate(zip([texture(env_in), impulse(env_V1)], [u'Texture', u'Gabor'])):\n",
    "    ax[i].matshow(f, cmap=plt.cm.gray)\n",
    "    ax[i].set_title(label)\n",
    "    ax[i].set_xticks([])\n",
    "    ax[i].set_yticks([])    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:10.812696Z",
     "start_time": "2018-06-19T07:17:10.473560Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def convolve(image_in, image_V1):\n",
    "    env_in = np.fft.fft2(image_in)\n",
    "    env_V1 = np.fft.fft2(image_V1)\n",
    "    return np.fft.fftshift(np.fft.ifft2((env_in*env_V1)).real)\n",
    "\n",
    "R = convolve(texture(env_in), impulse(env_V1))\n",
    "fig, ax = plt.subplots(figsize=figsize)\n",
    "ax.matshow(R, cmap=plt.cm.gray)\n",
    "_= plt.title(u\"Convolution of a texture with a gabor\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:13.939395Z",
     "start_time": "2018-06-19T07:17:10.814640Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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w/PjHP67d3V19+tOf1o//+I/rkUce0Xve8x599Vd/tV5++WVtbW1pe3tbTz75pI6Pj/vfH3744R54npyc6Pnnn9fh4aG+7du+TfP5XL/6q7+qL37xi/q6r/s67ezsaG9vT3t7ez1gf9/73qfNzU29+OKLevnll3XlypX+w3DfzedzXbt2rR/429vb+tznPqeu6/Too49qsVjoxo0b2tzc1OOPP66trS29+OKL+sIXvqDNzU09+uijevTRR7WxsaEnnnhCv/Zrv6aPfvSj+sAHPqCHHnpIzz77rH76p39am5ubunr1qr7+679eV65c0bPPPqvPfOYzevTRR3XlypV+8D/88MOazWb60pe+pOvXr+vatWvquk7PPvusXnrpJU0mE33gAx/Ql770JT333HP6pm/6Ju3u7upXfuVX9KlPfUof+tCH9N73vldd1+mzn/1s70gcHh7qkUce0dvf/nZNJhN94Qtf0A/8wA88dTff0G+mXLlyRd/1Xd/1alejSZPfMvKDP/iDv2W/1+vXr+t7vud7NBwOde3aNY1GI7388ss6PDxUKUW7u7s9IbGxsdEDtv39fW1tben69eu6fv26Sil64YUX9PTTT+vGjRv66Ec/qscee0yDwUDPPPOMDg4O9NJLL2k6neojH/mIPvzhD2uxWOiHfuiHdHx8rHe961364Ac/qFdeeUWvvPKKJPVkkEkBgy2DFhM2r7zySk/IPP744zo8PNSNGze0WCx6cuixxx5TKUXPPPOMvvCFL+g973mPvvZrv1YbGxv6iZ/4CR0cHOjxxx/Xt37rt+r555/Xpz71KT3zzDP6lm/5Fn3oQx/ScDjUD//wD+vFF1/UO9/5Tn384x/Xl770JX3yk5/UL//yL+sbvuEb9MEPflCbm5v6mZ/5GU2nUz388MN67LHHdPPmTb3yyiuaz+e9HXnxxRf1iU98Qjs7O3rf+96n97///friF7+oJ598UgcHB3rPe96j4XCoV155RYPBQF/zNV+j0WikZ599Vk8++aTe/OY36/r16z04PT4+1gsvvKDxeKy3vOUtun79up5++mm98MILms/nev/736+rV6/q+PhYTz31VO8ASNKb3/xmXbt2TcvlUr/4i7+oxWKhRx55RG9961s1nU61v7/fE28mq0zgmHyy7R8MBvq1X/s1TadTXbt2TR/72Md0cnKip556Sk888YSuXLmit7/97Xrsscd0cnKiX//1X9dzzz2nd77znXrsscfUdZ1+7ud+TqPRSO95z3v0jne8Q7/0S7+kz3zmMzo6OtJ3fud36pFHHtErr7yiX/iFX1hxOt73vvdpOBzqi1/8on72Z39W169f1wc/+EG9+93v1gsvvKDPf/7zevrpp/XmN79Z73//+/Xoo4/qiSee0DPPPKPlcqkPfehDGo/H+t7v/d613+tdpQ3Ys5K0wnaZ3bJn4g/MLJ69B3uK9g7oJXZdp62tLUnq2UEPduncw3MnGYyx7Pl8rsVi0XuBZgbtmfj/g8GgZ1zpOS6XywttILtI8YdsD62UotFo1LO/g8FAo9FIw+Gw91QM1j3gTk5OtLW11bebXqs9M9eRf9/a2uo9Rr/bfcBn3Fbqz/fZa5TUs9l+h9vnOmR9/IzHg/vYH6DFenP57It+AJ69l96nvUnX1WOE77bn6THm5+0Vuy/dZjOnHsdZF7fT73e7zLJ6PNKrdr81adKkyf2K5zyzbJzbHaHkvEU2lPbJDODW1lbP+plF3Nzc7K/PZrPe4bcdWiwWfdTMcy/na77f9Voulz0DORqNVqKZknr2kWylWc7NzU3NZrO+rZ5vHUHc2NjogfPR0VFv8zc3NyWpxw5ulyNiBMuM8rnt0ikruFgsVphNl2f7b/tkvdpm+n1uj+229SKpJ41cv5rNMhbx3w4PD3sbbwfl+Pi4Z45ti6RzO2jb6P4yNvIYkE4Z2OVyqdFopJ2dHS2XS81mM02nUy0Wi54V9b3GY9b7wcGB5vO5dnZ2elbeuMb641hkvxifmfX3ODHDbcLO5Rg7evysk7vOeTU4TFBkoy+dD3oDhgQlklY+PgItpg/w4zRwyVQDSSsDbJ3wPX6GZSTwyjb6HtL0BkiuGwctP26C8QSYBI5sI8MCFoauE6Bxkkk9u968j6C4Bk55rVYuQSf7OCVBaeqaZefzWSbfzb6gjvgutq9WN9c79VUbg6yfr3sSbNKkSZP7FdpPSSsgxXNxba7zvQxbe/42EDDxYRvk60yl8nxGZnXdnC6tzsMkqQjSMozt627X5uZmTxS47SSMXC+D0LS1JC4S5Ls+fCdJKZJFWR7bl20n6DTRQTtH3FDTAdPQfJ3PkGhyf7g+Hgf8neRakm1sv9/nlADr05iC7yN56HFiMof3sd0U9l8Scen4JGmXWGSd3BN4teIShPDDknThQ+M1dnJtQLIxlBx4dwLaWJ/aQKrV73b3EETzY/S12u/0qj1wOGjWgUMLc5+op9QnQV22y/pj/jGdjVr/umwCVU6ml/U725Lsde0Z9pn7IB2c9Iaz32oT+rr7a+OSH1qOc4LiBl6bNGnyoIUATjqffz2fpY2j5PzpKGUCNbJbJqRq0dF1RAPfbyAk6QIIWgd03U7Wj23n/Es2LkGu62rbapCb+CGfk1aBIm0U7Uzij4wcG6ASi7D81OU6Eo+4hv1hPbLutO3WSxJsfi/Bq8s1g2uGluxzgnoy6/P5vF+fwv5dl4vN9lHfbotzbdlmjpPL8IJ0D2kDCcyy8ylUMj0Edr6VJZ0v7rGi0ovzezc2NlbSBgj+2IlkzPyM6XWCSCvTCvbv+W4OFJfvepiSL6WshEActmHIxmGMTI421V4D9h5Afg8nH9+fHZ+AzHrY2NjQ8fHxit5Znj8cP8dBbC/dA4+TDJlljgHqNifc1DvHWk4+ORGmZ0aPWLroQXLSSLY/Uww8oTI9xu9wiKylDTRp0uRBiedts1ueW2mvakyjVHfUPU87Z5/zlu3QdDrV4eGhpNMFTKWUPhzM+Zf2PVMHCF63trZW7CDtred62sPt7e1+AQ9tKG2NFxU53S51ZPDllAW31TbYc7akvv2DwWDFBnqBkcFcsqhut7GJ0x6cJmi7STtMxtLhc+mcdKIOjaecQsE6+Xfbbtsr2zq/x/e4novFoscXTj8YDof94uyTk5N+UfloNOrTOLyIezgc9ikC0+lUs9msX+BXStFsNlsBnQToBKQJlqVTzMH0A78vnZ/L5K6Z1wzF1sK9lBrzKV1E5C5Tusi8ZgjY99TYM7KD9ELppdWYQ3pLrF+yjfTWEiiSZnddGcaoUfYOnfjd2SbqLnWf4YLaM+k51xhjevrcuYDeVJZzu37Id/reWttSaswCr2VKBe/JySPfSfDq67UIQTKvZLUvc9iaNGnS5F7EcwtDqjXbQ+CTLCLLMaFgsGMwYZDQdedrNqTzdSy0k3fLvCYpVYtkMlRt8EWgbkaTRBLXqHRdt0Iq1ELRJCNIdOS1ZIHzGgGZ654kSRJatBXJYq4jl/wcWWgShLUy6DywXqxnhuezXAN4YxMz4SQLk1C07hn9Tsn+y3an/txf2cbL5K6t77qQBf9fCyVf9jwHnxtohXLQuGH0Su+koWQOa6CYoMfl0KvNgbIObDMX1QPHda2FGuyV1tjHBN+sK1lRfpQJ9lInl324qR8CRNYldZH35H01UM36rft7yroJO8vkB8BnEmj6/ekcsWyOOT5HI9CkSZMmD0oI4CStgDD/njZ0nf1LkoFpYgQlXFyTJE+NwCDwov21zSMIJpHjcjIn1fY+o2TEBbabtfuoIwLQjPrRBpNUks4XIEsXMQrtU4Iy65bgy8/4nWlHalHGBJmXAfSso3Vl2816GpDSwTC7aRtnRt73Gqj6Xkk9a8qFYwSvaV/paLFOGTng9RqGuUzuKW0gQWO+lPfUGiRpxfiTXrY3aKrdrCQ9AXoHHBQJQjyAjPKZ35Nh78wzIkXv1ZFcXeg2MMTsNIH0LL1/mstgGGc0Gq3sNpDsod/jkL5DK/Z8zJTmD1ll64YTV83jdvjG9/j9CW7XhbGY41trB720dax5jrcEqv5QrPf04Ny3bqNXzvoev4PAnU4AxyT3ic2xXcr5itcmTZo0uV+x7eMONAyzSqsAgHNT5j1aPO9xZxqHbCWtbL905coVjUaj3q6QuWW5BFO2EyRjHKpmWJ6glmF27s/ufVv9Tq6Yd5qDy/Q7GC30fdwf3uUxZZAMo1MYnHJA8EggalvG3YXG43F/zbsZEBy7XZlTSttM28nUiPl83u/9TseD+IfjgpiJ2MD4Yrlcajqd9ikXo9FIXdf1e5s7DWI8Huvo6Kjf9YApAtPptN8K0/vfe5wQq9iBYB0Jgt0WgmWPB+su0w9rcs9xzxo6TiCSjFreW/Ow/LsHWt7j5zJ8v65+0rl3yEFJ1F8rp8YiJmAj4E1vkGCxxu6yjekdsv45YUgXaXhKgsXUe+qi5vXVmFeWQwaZ9aUTUeuHy8Ap2YN1TGyywOn10TFKz5r3ECjXmNcsP9u2js1t0qRJk3sVsnRcpMRwcG3+8vW0BdLFSJKfocNv4GPypRZdZFl8f9pAkhgGjAkEWReygrSHtLMEM7lrgtsgaUVnNVJqXWQu38G1FKy37Sbf57JzRwDqitiAdcl+st3xO2rkXZbB93jsuByCdel8C1IDaUkrBJjfx3U8uTWpySGTXbSb/D8jxSQYaZPZN5netw7XUR6Y9U1qvQZea88k0JNWmdscoO4cMn6U2gecYCaBMz+udUDTH3x+VLcDr7UPm4yvP7jaoGZHsoM98PjRSPXtphK4Uhc1ndJpYD1YP4LdWoiF99VY4No4yLqm5HvYL5zAPY5q4SPqhh9LrW4JXrMdd/JxNWnSpMndCMkD2rmMLtJG1ebiJBUSYJExNevJPVBr6xPW2U2Xz/A9FxbR5tL2eF72+5LMoX0isFyHDTLnldeS7KBNtR1OR4BzP20bV9mnbpPoyFxjX6+BV6ZGmK3NlMLs7xrGoH20Pg026Rz5OUYnvcCPC83IhDOySQyRZKH7Jfs+8ZP7huXQYbhM7gm8Uvm1F1iR9EDYATVAkDks7rxk89Z5Him1j47KvB3zmqDIHc4Pj6HoWl4LwWqyy7n3K/WTAJzAkrpi/hPrnWxnDWDW8n1M9bMd2a9+h8Fh7d3pzWY92J+Uy1jNbAN1msyrdZpbsNTKcn8kk1FjFxKEN/DapEmTBykGgNyAnk467QCNPAGlJSNVyWS6PKfCeVW/tLq3KCVJFtobAkYDMdr8BI0kFWrESdobP0eQSztIG32nObQkWhIMs81J8PiZ3LXI/cTyCerT0UjyLvEPGVLaxnUEWeIo13EwGFzYFs26Y34rUzHMvBKgc2zWwKt1TFvp/sxxSttNnVPfl8ld57y6ITWkzwHmfMEas5UD2Z6Pt07gx8StLvycFZfvT0Dkj97bamTOqwcFE9ktGb7Y2Dg96cNnRpN+d51J0bOj+Q7nvNb2TSMY5UfmuttDch6PBxQBF4GnB0qGi0opfe5QKeenUrltPBVDWg2PSKp6XiybgJFMs++rjQe2nx+C30mm1fdmArnHCHOunHPENrnebnuNTff72DaGmXy9SZMmTR6U8LRG528yH1DShb1AmWNINpPkhKSVAwk8R87nc+3t7Wk6nfbHow8Gg97GcY4je2ZwSPvlU7GcU+lcRjKPths83cqs4NHR0Uq+r9d4eHsr4wDbKG95lSc3sXznsnbd6oIlbillO8yTKxN0W8/MSXXucNd1/RZevNc65wlZJlVIVNnmuZ+Ojo56Xfh0sdQjQTGdEOMF62o4HPa5s97uqpSinZ2dvi6Hh4d92ohP3+LWWM5Lnk6nGgxO85R9UqjXzSTbT6BfA8vcBs16IuFJZ2Kd3LX1JbAgqs6/ebBbajS5rzMMQHBRYyXpaeT7+0YBvJGyzo2aWbdE+vxQk3nlh0svJ0G5y0mW0B8SPSVpFby6renxSatMID2WWji75iVTFyyPTofrmf1aayP7he+kA1BzLrKdGQrhM/lhpCdt/bk93tuOE1aCZIYtamCaniPvu6wtTZo0aXKvwqgeSRrpPD80gQttDJ3/dLJJBrB8k0UGcARYyX5x7k37xTUl67aRYr3EsYAAACAASURBVDtpT2hns7yMlNKuM4qYwK5mX62P1JmvkVCjkPlO58F1Tfvodybzui4KyXZz+6qMGhPfuE/8rmRmCaZpD5kiwuNlk9RL9pekHXOaaa8T27mOHIfsi+xXjuvL5J7AK0MQHJQ1YEsQxDIS6CbTuS6kzmfZeTVAwYHPQZ4DYN1Hyjp6ECS4roUkCOw44fh3Mn0c7DUQRbDpDs8tuaiPdCYSvOZElpMFvR+Wk33lD4p/50fE9+UgrgG/de3h71mXDDPVwlaZn5Tl5mSSbbHUPqTbhTWaNGnS5G6EIWnnH15m6DnH1qJH/D0JkBo7uA68JqlAG09GOIkoAkHbx1pE0PVPwJbvWMfmJTnE/E7qzfUgjklCizaTOrZN4UEGjJqSsEo75edrdj7JJZNbZmOTrWUZZNproJ5l5LZoZKR9L3c+cmQz86Azp5m4o0Z4UefUr+ueOIV6v0zuOm2AdLtpf7+c4MUIveZppGciaeX0qUwbkM5DEuy8TBvgB2Xg4klgMKjnfNCLJRubIRKmDfhkCYYkHO6xPjxICFbdTm/R4UGUHqQHgeu5sXF6StdsNpN06jWRKaUumeMinQ9Ce/O+7pCMqXu3wW11vTmIrE++P71WaRXkcuswS06q9GrdhlLKykeVTDsdHK6mLOU05DYajXqdLZfLFU+Tk6y3Z8sJizrNyZhgvEmTJk0elJDxmkwmK6dPMcTqxTOZuuZnySwSqPB0K5/gdHh4qL29PW1ubmp3d1ej0WjlpCc66Z4HCW7yZKvB4DS0bBDpLa9I7vC6U7eOj48vpAPQ5lg/bLtBmedph/G9rZYBue0JbYbBF1nOZBQNCB32d5jd4XefVsUQut9p0uno6Kgv3xjHdk26SPbN53PNZrNet8RFNcBH5yGdCQNSb201nU61WCy0vb2t8XisUsrKVl+TyUTD4bC/l6kLHju+5vQM29Ik6WgviSM8VnNsMvJs7HCZ3DPzyq0tpNWV7uyMyxhFV1i6uO8rgZjLT6mB2fydgJLKSebVz9XqyPoZzDIkwfbxPv/ud/hvNW+aekuvzx87B4br7nJqwMtl8l1J6dNbpReaZfL3ZF5Z12Sh/VyNUeWzrmv+niAx/7YONNtbTeb1MoYidU8G3cbAUhuPTZo0aXI/QlvBxUAmg2oRRALVDNFnBDMd98FgsLLPphdt0UYxGkXbSptG8iEjkLQptAEZciZTSOaVwCfJJjKvLD/nfYNX6WJEkMCRukzCjcyryzdT7X7ivcRK0sUTs/zetDu068zPZb9bh6lTv5/YhWH+BI3WC4+Xdb/ZSTAQZ19ybLIdtJesE/XofiTB6WuWB868unHuEH8YGQqugRVXvDaIPcjWpQ0krZzhX/+/xsTWyiAotNJYX9aPg4yDKEPWqfhkgVl3AkrWJcEa654hHw8WCttGNjPD/ZeFcgjq/Pfb6ZP3UxcJ5FlP6opAkexq9gsnOrK3tZzXTBvIbUdqAJtSCzVRGvPapEmTBy0EgDxKPMmSTM3ys3mfwQajZ577eKKWmbca+7jOLjIqZRCc6zJoaxhpo70hKCcoJUPpe5IcoT3zfdLFtTS0GwRGSeIkmKyRUhl+51od2sOMpibGoT4JNGtAOAF1tsd9Qj2TbDKZw8MMGBmnnWR03TplHXyNDlPabNeRhBz1y/QP2uDEDpfJPacNHB4e9ic4eABxcLGymR9LsEYPg3uMMSRByr/Gtvod7HAr31S9dJ6Y7HoQ9CSorXkI3imA++Ix/MDOp4frd1h/eSJHsolup8MbThvIE7HoheZHzQnF1L49KOuC7/B9Huyss/vKISmu7vf9tUktPc1kfS2sq3Uora6q9XP+l4M/dew+98lmi8XiwjYwCXxdd37w3rGABsHCHKQmTZo0uV/x/OJdZRx6dwjf4VuCTc/HXXceos98xuFw2O9Qc3h42LOsOzs7/dx/cHAgSf2OA17Vz/lXOp/rGb53mtbx8fHKynXbZbN9tncGe0xzkM7D3kxDICMsnYec3Xbu5iNdPM6UaYMJhq0f2itGRtMe+FSy2Wymg4MDLRYL7e7u9qvxvQvBcDjs+6rrur4/bZeMVWyDSEy5/rTZLp8nlhFD2d4n88pURe8OMJ1OdXR0pPF4rO3t7T5lYzqd9mPH7zs4ONBgMNBkMllJ7XAfSeeYKh0o69zXCM45fogniPHcH5d+L3f4XfXCD4X5iQwhs8MpZPMs6UURmHgwMXxbY3RrHh5BVI0dJWishbCzLa4jB3Z6uHw+WUN+vLU929iGZKrdsRmSoYdI3fC5ZGyTxU5P2NcyJJF9Ja1uZM36kwFPVj71XWPAc9CzDjVGtOZ5cgzQkcqxyjpSn+mF0/FyG7JdTZo0aXK/wq0G/btBEaNk0ur8XXPomQdp2+PyzRoulxc3qjdZQdLB7/N8mQuCMh0u7QrrK11kin0fc1nT5mTUcF24milwnPdph6XLV8STiCOrayfBID1X7bvvqCfXhWtAaqxpsskkWIgP6FAQx9SYWb/XYJ0klMeTGVmy3CTkOCY4NtmH1FviqxorTObV45D29oEyr660G2GAeRngI3jJ8HKCBVLqbFgNZDJsTubRv2cZGQ5IRRJw1QZ2LTyTHUSl14CNyyZjWtNHDbwy/LAOeCego7fpvlsXeuGHXQPG/nDIQNb6NcvO8ZDlJRPPD5MTFaU2Ifp6rU1mmHNiYp9mezJqUKt/A69NmjR50MIQLokLpj7V1oqQsMl0Pl/LfM1MAzTLSdCVQvAhrS7MrW1HSbLAz7u+tKOZ9rUuVS7tYJI+FttY2vmcy/Ma7YHfUyNtzIIyopdgm85H9hUJLNfD7aQtJGgmGZPYIQkelktsxah27kdrfTFSbduZDkYC6sQpSRq631gO+4d9yzF7mdxzzis3GSYzSkmvgmycr2fupxVOpRNw1Qaf//WHy4+Lg4jsrZWTzCDrVxvYrvNyeX60awJnfig1r7UGfi30Plj3TEqvOQxkXvkR5F6nNXY3+yI9Q9aJIN5lWPxx1fKBczxkW1ie+y/rUGNyqQP2qyc/6iV1leMxvfCcLC6bLJs0adLkXsXzEAEgQ+9kXmuA6HapVM57zO2SpNVz75le5ectaV+l1cNoatst1uyoyzAzTBuSQFtatV2XMa+0ewleadPWEVQ1XOF3kb02/vFK/sFgNeeX+aQkfqwnYhzpImPJ+mf+MEmmHDv8P8vMNAmnU7hs69pjxZjAtpzpGNaV35H9nWMw+yfxQ0bdkx1fJ3ed8zoejzWfz3VwcKCjoyNNJpP+A7MQRLhC7ISa50UgSO8gDwLI3BA/bzrc7yE9ngnPrh8/iAwvu2zWnR+ogbsHRQLrZAetj+Fw2Htt6c24fa6LTy8pZfVELLLdZGs5QNxub+HRdV2fn2wPeTAY9APY93ji4sB32dlmToJZf3681kkyl64rQ1xmHFx+fgh+D+9L3dPTdJmcqH2N97NcSb3uOYGyrrzepEmTJvcrntu95ZTnLG+X5fzHUsrKqVLeCsp5qt7W0XbQLKu3wJpOp5rP59rZ2dFkMpGkPhd2OBxqe3tb0vn+r5y7XUcTWMvl+bZb3kaKp4RJ52Ccc6vtXi0dwu30aVaevwnkJV0AepKqQL6W1pBsNaOVFto9SX0u7snJSX8q2c7OjnZ3d7WxsdFvobVcLjUej/t+MdAdDoc9q81twEgeuc/NklpfbifTNWvgjuCcbOdoNNJyebpW6fDwUJubm5pMJj0m8PXlctnnQnvNCMcTTz3jDgbcIcLtot6NmbgGyZiDaQnsjwee87qOeXUH18BKLcTLwUFWi54KQ/4uJ1k8/58gmQOa7CXfK616kcm+8n1ZP7KQyRqyPgle1zGvfD//Xwt1Z9vXtauW45T5w/RKmUCe72Mf0sPKcjKskeA168r7rJd13mitnalnTrCsXzolLMN6yTYTAK9rey3a0KRJkyb3IrYPzDUloWNAkJG9jLIZsCV75gXRZA0TdJh5y6gd65jOvkkQM3vJlpIUkFbzYRNMujyCHgOwnO99H8mbxBGsb87vaXs9t9cALOu9XC57YJfHynKLrhpANn5yuaxHhtsZxaQtYrvS5vH/OUZcZu4R7DHHbbR4P8dTjVl3fagv1y/Z5yQHifN4X/ZDTe4avHq1nD0AD/TLQqgEYwleLwvfUgG+Xht8+UwNIGZ9/Df+XvNaWD/ey/qx7ZfpYR1QTJBYYyVrdamxr34P31UDr5wk6HxwECWgrjHT0ioLzsmS/ZM6ZF3X9Uvm4VJHfpYTYN5H3aYDUuuXBNT+WJnO4L+13QaaNGnyoIVzjkGHGTeCCNo3giRG5wy0GN207Z7P5z3w8vxP0JmOO23OZeCjZm94b5ZRCzFnXW1PaJddTgLQrFuCqASqSdKk8H12ANwfPATBUToDQDoarIttJZnhBK+ZF1sDfG5rjXzL9vG9Bqm+5r52v5n5zvQUsqiJfWrjsIbdEggT09B5qaUj1uSu0wa2t7c1n8+1v7+vk5OTPm2AoVi/2I3LFY8Wd6Cvk0FlCkANSCQQzsHAtAErKlnS3Ocsvd3cX8/KJfNKsLfO+3F93UHca40TjOuWoW5PSgRy1gknsvzIMseJJ43QGy+l9KtNt7a2Vjxul1/LT2FYQ1o9zYt7CLoc6q8GcvmhMESSoJSJ5XxnshL8SVDLNuVWHa4Dt25Lpp0nqjRp0qTJ/YoBBU9T9IlRPnFpMpmsbA81GAx6sLFYLDSbzTQYDPqwtVnCzc3N3nYfHBzo8PBQk8mk3y7p5ORE0+lUXXeaXmYm1WFi1891JFs3GJxup1RK0Ww267fLGo/HPdPIyCy3R7LtYu7lcDjsT7P0lpy1/UfJhCZbx9Q42yym5CXe8LO+TqxARtL9cXBwoL29PY1GI125ckXj8bhPyTAucprBfD5fsa9uJ9MaXQ8ujmLaHBeFuf3EHxS3gUy82WFvl+Ux4j7y9ePj435cSKfpJK63Uwmo12T7iQuYYsj0Ao8v9iXHA9MCL5O7Zl5Ho9FK6CGZOw9yizuF3hb/lmF5D5gMDfh6sosshyCFSD/ZNrKIWVd6FLWBTkk2Mb2g9AgTPNPbSAbZnZfeZr67xmbyb8kc+h2pQ4I2ftD+W7K+fCbzjKiz2rtqTDf1Qj3d7r35TpafwjpQZ+uYfU6M9BD5kTVp0qTJgxDPhbm2w/ONgaNBQ21BDwkArkUwQDC4IJBgakKNRUvbwrmd9XI9yT7WInkZcvY1RjEJVLmoKyNtrKPL8bXEFjUbmawlySGXTwaUC9yOjo76PNaMSJsYom1Lu5i4iCwpgX2ymLQ7ZDCzHZQcIx43mZdqRp5g0liEzGvquoZvaswrxzAJq1paSLYh5a6ZV3cS2cMEcDlgqGheS/Cw7p3rgESGJEix1wYz65nh6PTe+MEla5j1uyz0wAGbnetr+TzBWe2jW/cB8rlaHmfmvOYH4YHFgcYycjCRwXUZtYR4v6sGtGsOTYLQBOm1MBg/oHUhFP5eq0NOeOnEcMEhnYImTZo0uV8xoPDcQvaJYJZMnbQaDSN4zRXiNfDqvFcDxQSvSQQkWM65kXmqrmvauAQwnIczJJ0HHNQAqLRqZ1xvgns7BXzWUktNy7/7HjKneaSu2UUuWKr1C3WXdpF4J+3pOp372aw77Wf2j8ukM8S682AH22Q6TdR1viMxn+9J8OrridtIWl0md8287u7u9iGG+Xy+soK9ltPijmOuA8HWYnG+6IuglmVZyfZqmFOSoJZgzB6Qf2cHZjoAO8WdxJV1fo6Do9aBBFfuCLc9aXZ/CK5/hjYc+udHZ/14ELj9zIGy182J0HqUtJIX5QnOK029atT3cFKrpWpI52kDPjnMdafOrGu3NUFtbdCy7umxOuzhU126rutX4nLbDzoI1o/rwRwfepmur8ExtxdxP85msz4U1KRJkyb3K2ZHHWZ26H04HPYpSuPxuF857tQCgydf81zolD7Pj/59Op1qb29PW1tb2t3d7XcccNjYc6ttD7eAch1ty/w+h4K948DR0ZFGo9FKqhptFFPiGC43WHJ43iv4SykrpzolICPoNugiEEtmmmApmT7bG6b52WZvb2/3O0LcvHlTg8FAu7u72t3d7UPv3BnCuwvMZrMe65B0sS5oK21jeAxt5qEmE0wd0KbScfF7p9NpnwbhOi4Wiz5dZTQa9ekkTtsYDk93LFiXGkg8YgyT6SFMnRiPxxoMBr1eSLh5rFxGakr3wLwyD5CAJj0i/5vsGcEPgR5BbTJn65K1CWhyANZY1KTwWU+Wwbr5/SwzQVyvzPAMqTcOKHqSfhfrk54VGepkXplYn56b61zzNrM/OAAZrvDfqD+X57LpICQoZb+kR+j7qIP0wvI+vzeZ1/T+LxsP65j11FVtvLhdnNCbNGnS5EFIjXk1+PMcx+O5fS3nYLJn3AbRwM5khUPEg8F5jmUSI5ybyWRK59tg2bE3W8otsCTd1kb5WtqUXADmNlrS5tbC8q5HzRYmpkgA6/cx9cL15HHt3v6JecDcRzXBpculLlLH1FlNlySk+GwSNtZdMpsG6ATFuRNBrgVKorBm42v94XrnGGb5ufD7dnJfuw3cDrxaErySYXUDa5LhgVQclZdlsTOzY2t1yo4mPc+PrNY+vy/L9vWsa41m9wdJPWaYP/VSA2IEWK4L61YLuxDc2xsme5yOgJ/P8MHt0gZq6Re1vmfdE7yy/8lSeKJnPVwHjhHrhzrLutZ0kxMNwy9NmjRpcr+S0TFGBz1nZjoA7YukFbvMLZxYlufMUkrP2jJiJZ2Ht6XVtSYJtrh1EkFQ7vVJGy2tP20qiZpckCtdJJHW2Qmzd4y21bBAkk0uxz9MEePiuASvBu65mj9BWi3tg7iI9aUzkjad7V0HwmkvmdvMiDDtN6PCXBiY9WbKQ+IVEnQ10MxxUVuEn2NlndxTzqu9Dg/aGiBMsEGwlgwnlcCPhAM5E78v86hqHlaNOawxwXx3jXnNDkn9pBAwuQx+7Hyv/892Z73y9xzk6dVmHZPdTPCaSdn5kdWEk1wtHybrXmPK2W5fT2fF5fnDYZ7Rcrm8ELYgkE/2NJnXBOa1McwJrTGvTZo0edCS83ku2rXhL6X0NtjXpFX7wgNomPZk+20mMZlXAgyWSZCSzKvL8rXc2ivLsK3x39j2y8BrjemzvlyGr+WOResYvZp9TdvBFDnude96JXgle2md0CZJulDnfLdtr/u4lodcI+tYXu0dCWi5SNs6Y5rBOkJqXXm8J5lmsqzrwKvrso7UtNzTVllOVuZWD1ZgKsoN4WAlUOEHmgOXzKdzejgIrGAC6QQcTEYm2HUZHtxk0sisLZfLlZxO6TwZvuZN+t38sNadKsHJwfXhwOTGwNY/y/fEYyacoRq3Ib09f8AZanKOivNIF4vFyqbWklZOwaCOeQoYJ8XsQ38kyXJ77CRwtBdPr5u/TyYTHR0d6eDgoM8PGwwGfe5OzfN1yMLtcjtrDHdOXpyQnNfVpEmTJg9CTA55bprP5z0zanu0sbGh7e1tDYfD/jQrz9ulnG556K2xdnd3NR6Ptb+/r9lstnIS1t7eXm/PfaLSbDbTbDbr17Iw99JzZbK1ngcHg8FKHuPh4eHKtkjcR9TgpQauSU4Y3Hj7KZfPrZhsu23ruE7E9co6SOeLmhMI2gbbhnF9w3K57HW6WCy0v7+v4+PjPnfYNnA6naqU0xxdb0XlfpHUYwG3g44C0zaMW9zvZtKJVZKwSVKKxI5zhn26l+s4Go16G+k8audMHx0drZzmJp0DcZ5aSRsvqepYcaHgZDLReDzubXXXdRcWD95O7jptgCdpkM10A3IQ8Hoyk8kCJttJL5KeU4bdeY3vYOiXoJjvzvCwnyMbmZ5SzZNbF4bIsA49IXop+Qz1yPYQ5GV4gQNonSdXK9vXk8mm9+d2E3xm6GLdtlw1PSf7vW6sJMjNdjp/i04Q90CkJ54sPvs4dZvjND1GTwpNmjRp8iAkQ7M2/pxL6UDXwr9kHE1u+DQoA88aa8gFQpJW7AjtLu2EpJUIlMGVwQfnS5bBtnq+9tzMe3IXBB4V7zqaXEgASgDk+hqz0B5Zr64TbZHth8GiiRruueo+ysMerKdcOO120SZllM/vllZzmDMszzon01yzl8QbZIGJo3InAhJI1FfiLf6ebeOC9yQe6dQwysA+XSf3tGCLYMnKki4HqaSza+AuBw0VwM5M8Gpqmx25LvxcA5g1YOf3MEwiXUywZi5Qvp/1yKRol5nAv1a31Ne6unOQMpRQA//so/Q87bW6PgzJZD/nh1YL32RdU7e1evg6gS4T36XzfQwNXu25J3i1DjNtgPVPva9zbHLCbWkDTZo0eZCSJA2dbaZLGWwSDBA8kSHlgSpm/cymGXgx+mggwQgewYSv14BdAuhkODm3ek73Oy1JYHmuTdBn3aRdYxicAJp2smaPCLwI7NxGs41Ms2COKIG7bRbD47WtJWmzs22uG5nojEimvSfO8jvoDBBEWsdkTzNCaf2T5ElSke+mnU6bSfxj+51jLkm+S7+Vu/mwpFM62ZWo5ZRI648t4+CweFByENKz5IcorebTmGbmh1gDTPzwqVx+AOxQadU7saflJHeHITLHk14IAV5uZeL21HJYVjonBkYCKX9I3F/OumO6QW3brJzs7Nl6slssFisnWLkcOi7UcSml9/AdAnD/chCTuZUuJquz7V13HvZgyEM6nYRHo1G/bZvDSt7GZDqd9lu1eNz4g+PpHga9OS7puLgeNAjeQqRJkyZNHoTYtni+mc/nK0yft7Hy6U0HBweaTqeS1G9t5DC7r+3s7Gh/f1/7+/vquk5Xr17VcDjst8Uaj8d9KNwh3JOTkz7VjTmyjnB5q6PhcNg/s1gstLOz02+n5NO6PE8bL2Qq4NbWVr/hv22J7/HcnVtvkY0kgUHssFwu+y3CHL7n8a0ZXifws/02wDo6OtLh4aHm87l2dna0vb3dp0c4RcD6XywWOjw87OviraiYekG9sh0GxKyfU0jMkPu5dQvlJF0YM04n9LamXrDnOhqLuJ+NySaTiZbLZZ/yQBLMoD2JPaaCuD4sfzab9WNoMploPp/3tpQpDDzZbZ3cNfN6uxzF2z2frCyvu0yHLJLellZBJb26BHisGwFfhsvZAf49QXctbSABL1k+i99LcM9OT+Z1nc5qbSMDnGEmDijXLeubwNllEfQmW1t7JtnsTBugLpMRTm832+3+druyD7hVFvXsa/49nRXWl14u9c0655jjJNOkSZMmD0pyHUKyaJIukDsGenS0zYT6REzvG+sTtbiXJjfZ5/VkTW1j0lYwrJ9rE8js0ZZIq3aJzCkjli7LQJ72mWCTdePCMYNQgr5kXmv4IetnooO5ugyzk4AjScS83Fp4nIRfti2jxmQ6M8rJ8cH72F4yoMn68jrr7nLThmedMmqaEVv2pQkjkkjcncL3PVDw6oq4Qcm0cgDWAIklgVp2VG1QM18jwxdMG2D5BJLrWOF1aQPr2Fu+txaG97tYHnNJzRon41jTVQ3o5+DmQPEHzwFGoJwrHmssKJ0QTgz+fV0d2Dec4NKRyP7PNlonGdLhoKbjYp2mt0o9J1hmvWqTVm0McQLIsdmkSZMmD0Jq+fjpuBO8cg9XsqQEr8fHxz07asaUEUwzdTVGL0GNwRcXRjFyV9vG67JdCzyHM5zv9hM8eaGPgSmJGtabBFvmnuZ9Uh0zuI5MS2DaABdOcScE1pd1YRoDSRa3w/anZm9ruINjwdddFvVKTOVxQxLN+ma4nmCZ7eH7XCeSgXQ4SJRZN66j9ZVOxrrF5pfJXYNXNjS9q3UAMD0KAgd/ZB4kbiypdt5jyjs9RgKeGvBkB5LVZRjZ96Sn4TK8kt5nGTtM7nL9Tg6Cruv6lZumyL3yrwaa+VGxHZmS4EmBE5Y/Ll4bDAb9++19+1l76bzmXCq3iQwAB3MuiDK7yRQDX0t2mrqhB0wduP2ebJw2wNNWnNbgsAPDUNPpVOPxuP9AMk3E1/wR5mTGidrA331vXdrrbtKkSZP7Fc8vki4wfQ6lStJoNNJkMtFsNtPBwYFOTk760L8k7e3t9WHYq1ev6uTkRDdv3tRsNtO1a9f6HYMODg5UStHu7q52dnZ6kOsDDAgWbXdPTk76VACG1I+OjjSZTDSZTPp0AgNOz91MG5DUh7JdtttrcMS59vDwsH+vy3K+Lus2GAx6PbAO29vb/Wp6p4BxlxnaKEb7mAZxdHSk8XisnZ2d/r3e6capFH4vc4x9IprrY2fB9tf3cRGedI4pmLLGvXttgzk+jJXMxLsupZQ+ra7rut5++XnnwzqFw+PMeMBpBrkzD4kxYkGuRXG9Syn9DhnD4VDb29uS1O9OYR3eqX29a/Ca1DXpY+niSns/s04MYPx/AgyDJCuJAy3D5lLdiyLoY/39gdQYwmQL7zRtIOtAbyTD2clyUg81xjV1Sq/HQIvso9vMcAFDQpluwPKoKwL/BObUcY3FraVwpH7puVFYZoaQyAp4jLBdHiPrnKrauODfWMda39+pZ9ikSZMmdyMZEUv7Q4DgfEiCXOkc+Bp8OW3AOa7cq106XzxjsqAWfib7SKLDz9S2c8rwczKvyWzafklasZt+h9ttG+WyM1TP3ROsB7c5I8aJWxILMLrnNpJhtv6pE6YTJPPq+tg+Zvie9raWDkAclPiKNst6osOQzGsCUNtcjjNiruwf6eKCd+MNYguuwyE45ylbuS9wsr3Vb+X2n1PloQjpsgEUNjABxLryMm2A4QQr0iyYO2hduRSCoHXK5r2uV6YNZMg6wav/TyCXi6MybaAG8FJ/60B4MoUsl5OHwSv1y0kyPwwCwdpHkkDZkrml2bZsM9uWv7PfMm1gXaiDOUq1vs73pc6p+2yHtApe72TcNWnSpMmdSqbHcZ4nqPDiIDNUZkIHg0G/WMZRNzNtx8fH/aIYSf3JhE4vsG3lY/+9egAAIABJREFUTi0ZLVsH1Ahe0zZmm9L2ShfPs6+B14z+0XYTdOeuBwxRkxCj7SIZk/aEz1n368ArwV4t0lcjmPxegr4EjwS4JKysX9o5gkD3jdtbyylNPMJINvVbs+s5PhIvkUTK+lBftOt0PC6T+2Je2RnuoHXMKz2KlAS/9MgyfMuGMveUwjokuGIH5gAlC+p6JZBifS9jXgn6PDDsYdCDvBOpsbl8H4HyOmbZKRfMsVnn4adDkvrgpEAAnWzz7YAq61KTLE86B68E1+s+nPyoU6e18ZgAO9lojrnbfVxNmjRpcjdSI3JqzGseTsNcTIenSznfvcDpAASvXvnN403JYJKR8/tJviR4db2SfcwFSpyLa+CVBIrBU42Zc9lkfyVdqEMpq6d/1daHrCPe+H7bboLXZBLdTuZ2Ery7jeuAKXVUuydzWUlYccxQT37e9athF4JSAtXaeCSZY5ubJBexhfVs8Jr77zoKQPBKTLP2W7n0rxXxB2F0XPNsDCTIPJJFtSRo4mB37qJPXzD1vFgsNJvN+ndaUTWwZUWTiXQIgd6cQyauLz8MgrDMeWV+CD8EA1V/ON7+we3JpO9ana0fX5MuHtXK/BMylBwQw+FwZVsTJkZ78nPYqebV0sPjQLWn7Wc4WF2P/BhcRjLW/EA4HujBuq2z2awPh7EurLPbzhPIqEfXw/VOZ8d1dH6S+8ljhY5AkyZNmjwocW4giQ7PQcwL9TZDBwcHOjw81Pb2tnZ3d7W5uan9/X1Np1MNBgNduXJFpRTdunVLN27c0JUrV3Tt2jVtbGzo5s2bOjo60tbWlq5cudKDXG9bxfQ2Sb29GwxO80p90hRP1NrZ2em307TtTjBJW8tUh6OjoxWgy3QGnpa1sbGxklO6XC77OiyXp6dgMSe1lNJvb8WtvWi/mLNJO+u/u/zNzU1tb2/3p30dHBz0GGAymfTYgjmltlVmygeD831hyZIzncMOCW2wsQuxl3XoPFPm/Y5Go/7UtMVi0V8rpfQOjtvMfWq5vRYPtXD+MJlk2lziNwN4ngC3tbXV63GxWKycfOa1LK7j8fHxbU+wvKe0AQI6D0KymQYDZDZ5b4b66V34d7Jb9JLWsX4sl+9JkOIPksrP8EE+TyaOHinBuMtIWj9DI7W0Adaf/ybj6Y+KdUidE3wx1DIYnG/vlP1HhpH9to4RzVQD1pXl8Xp6cvwbhW2l0Ht1+1m/9JTJWlCPfA//5jIuY14ZRmtpA02aNHnQcru0AYaoCRC4LysXDNnpN3Hi/TU3Njb6o2ANUqRzdpVzXYbOXc/cDcDOvYmLPLa9xrwmE5jRP75bWj0y3QBXOt//3UwyGVmyjm4DMUWGva1/v49tNIvLfE2CtkwRcBtpb61bgz7p4uJy9wuv+ZmM/NEWMlXQgJbtZa5trndJFtzlkHC6kwhtjlfrzKRPLhL3OzmuHnjOqyvHED7BlO/hjyu0LsxKQMHQLJ8h8MmP63aSADZpfNad9SBATDDOkLXbRODJj8HtMfAk85lh9Vp9s50cIOvAq+/jgCeg5geQIYnae1kWQbTrkGED16MWmk9nItvrZ6kTguGaw0Ed1gA4Jwi+J59nvTnREEwT5Dfw2qRJkwcpNTDF+dtzHBlLM2Jcsc4DBXzNUT/vwsKV9zXwyh/pYuQvd58hsJNWD4ap5b26vSSlaI+TLJDOAWLiAoIi70JkxtAgN+9L8JpEBvuD6ygSoGe6gkFtgsvEBLTBvmZ9Elxbb8QkueCqBvINAg3qawunPJ583XVn2QSvxB3ELHRM1pFtGe31ez1W3GYuwrv0W7n0rxXpuq7fzsAfiQc/0bYVbjqcHg/BQHp1Vo5RuilvDxqHCJgEbAX6ncng+n3pZeaWGX7enWQq3Z1QGxhsE4GiwwYMfZB6Z9rAOqY3HQM6C/Ty0ntzP9gjd9iCp2r4Hg/UzDWht5z65IfMfk+HxVL7QBMw+j63NycTTgr22OgwJFPKCas2gebY8Mfnj8zjpVYGx1OTJk2aPAjxnOV5jnubev72vDuZTCSdnj61v7/fh/4nk4kODg5069YtzedzTSYTjcdjzWYzffnLX9ZoNNL169e1s7OjGzduaH9/X6WchtWHw2G/XRYBB8kkbpnk0PnJyYkODw8lqd9KanNzsz/Fy4ysdA5SEgTbrpON83N+R9d1PTA1a2xwfnx8rIODAx0fH2tnZ0eTyUSllJVtw4xDvF0TdeuFV2QwaRePj4/7VIzxeNyfqJVhcOYdGzgbu0ha2YaS4X+ynE6hMJvu54yziD2SaZ7NZn0/TCYTHR8f9+11vrPBr9NQJK2wyWTua/sCr2O/yagaJ3B7t/F4rPn8fNsxj7vBYND3p8eVseVlctfMqzuUoM6DMJlEgpGkgZNlI2pP9ovAwbmIfla6uLCqFpbwdZZPWj/b6DKTefWzrJ+F4DNBoIEnO7fm8dW8Gkt64wR9fpZeco15TRYz0wZYF/Yn2+e20HNNFjIZ1mxPMqVs/+0Y28sY1Noz65hX9mOt3Z7M/HuNJW7SpEmTByVJonCuzz1ADXQMEA3sfI2LqAzaDL6cD+kdBwhq7JTTntHe214wpMzN+g3gci3Curk280xpx9JOsj0JlEwYeW9VM6O2VUwl8LMZmie5RpKDTKCBJ4kc4yKmJ2RYXlq1e7XocmKHJKh8LdMfGPJ3P1hP3E7NdbcOkgkmAZnsL/Eb+6Rm0xMf2hGx/nM/eLaZ/XSZ3FPOa678ZyMJiNzIdYPDjXIjCRrZoOxYDzwybxZ3Rg2g1PIWXYdk4OgJMXyd4LcWcib1TgbTbcwQfQ0A8/dkMWusYT5X+wBy4RLfneUlEM6QSgLjdWAz63MZ+MvJIic5PkeHo8ZAU9hv/r0G9HMi4HistasB2CZNmjwo8bxEUGP7QQJEWl1jwnxTbtqfi27MbHJRDBdEM+IkrW4VSVDt+ZQklu0dw+pcVFRbE5PzMlPwCF6JKzw/1xbpGnjnzgu5MJsLzWs5pK6b6+K/kzXNvWRr9jB396Fd4++1EH2ujSFJyMikx4x1SDzmscDdIDLlk5iA7yIIZh/XHJF0uFwe+5QRTTtWXXe+mC/zuR942oAr65wZezum8zn4rdyNjdMTNpIG9uAwBe4cHeZepJdk2v/o6GjFU6gBNw48eiWm3u3JSudbXPgee2reVSEZSk4mBNgMD2R77KFxEPkjtF4zd4UemgEWO5geK8MtvuYPmcnlHjB+h9/Deq4Dr24386y4IKDGnCfwTSY8ASA9S2k1/SCZdk8Y9Hb5jnR2aiCehmKxWKyEYByq8cebDP7tEsqbNGnS5E6FNmA+n/e7xfCERIZhNzc3+3B5KUU7Ozva3d3V0dGRbt261TOt3kng5s2b6rpODz30kK5du6b9/X3dvHmzP7zABxo49Gwby/mU4WPu6eq6cceBw8PDfjsu3ssf6XyHBa5+91zrOdpYwCvXzRobjC+XS+3v7+vg4EDb29u6cuWKtra2VvSwvb2tUkp/YpfbkGH4TJ9zuuLh4WGPdYyB7CjwhEeDRubDZgoi7RwXUlOf1DFPz+J7rVvrcDqdaj4/3fd3Z2dHi8VC+/v7/a4SPJnSjCzL9Tjj/sFOXSCg9RhNwimdKwJnp7o4BWM+n/enlRnXlVL63SoeeNoAB1d6XGQ4a+H+ZO/8gbjRycwlW0sFEbDWmDYL7yPLSKDGMghS2U5Ksm8JbKVVD4j1zrA/qXuX7Xfmh0z28jLmNdngWuiB+vW1mu54LZnKLJtMc23cZH/U+sx/r7HE2Ubqkkx41iFDN9kHHLM15jX7JuvcpAmljYsm9yrJRKat4Kps2xWelEUgwOPBDdqWy2V/vKwXcZFQsU3P+ZZzZ+aruq4Ee9yHNhm8JDW4BiPnas7RXO9BJpT5tAbQZEaTpOL6Gubc1jAI7TH3JyWA4y5CyZKTxaatcTnWaRJVBIFJKqUTkGkDJPvMYHKNCpnOLNeYIpnuTBNgW2izSeTxmtvra9yfmGPIbX7gzKs7lIt7mH+aQMAKydwOl8OOJthLEJYKuxfwyvB/glm+MwEQOy3L4/vWMacJPLNs1pdlJ3tMsJnglbqm/qk316HmJVEHfC/Lp04TqK4DmzVn5XbCdvF39if7ieErstXUGdvDuuWYYps4ydT63H3cpEmTJg9Cck5imJZAibbGDJXZM4NX7jgwHo978OrokveJ5Y4DBIHSagSL82ICHml1Gy2yg7mIR9IFe0Ignqla/H+Glckamrk1eCUzzT1hB4PVjfJpN2k/XE/f4/czNaL2HCOiDO0nCeW20V4TvGZaQxJfBNvEWUyJ4GKvXGxF4pF9mWUnmZNEIttiHSWOqxF2uQMCx11GSNfJPTGvtf3MkoWr5WiQYWRnZ4IwwUutsw1eXU7WkR9HfjS8lgDT9/haLU9nRXkxqNNrdnuybD9bA8bJgBK8sb415tUDnz/JiPs91Bev1fKO2F9uhwc22+vnWI/ae9aBf/ZNTmI5sfud6RnmWEzAn7rlR7hukrFkXZq8MaUxq02+UpIOtXRuQ2uLdJL4MWAhaPOKcbJdk8mkTxFgzmwppcq8JohkvUhASbrAvC6Xy5XUPM+r/o5qNsr3JssnaWVD/hp4ZaqF9eA6EBz6PWSck3n1+8y82r4YdBnrGJMkoCcIrNnsBK+M3FLHCTIJ3mkDWUfnOvN0MNabP0nWMX0yI5RJiBHnJEFHcM9yaswr00Y4ztbJPe02YK9G0sppFXlahkMWXgFJGtid7fwLHlVHYEmgwRyRWkijVl+C0NxLjCkPeY+3mGJuR40FdOdnfgg3iXZ7/MOwQ21C8gQi6cJgS8CW3qDZcOaycjDwYyWl7wmAINSSA9QMAPucW6h44sqJIJlMX0/m2vWwc8O6M+neebfedJunhfHUtBpLzBDXcrnstzHzil23M5luOhuNeX3jifv+dgC2AdwmdyueHx3udQ4gT3R0mN/sYtd1K9sM7ezsSJKm02m/TdS1a9c0mUw0m800nU777bLm87lu3rypvb09dV2n3d3dPr+SYEdaJSXIpjIMPZ1OtVicbhm1u7ur+Xzeb9PEeZXzMm2Gy5bOiQWCQYLx5XLZ5036ZDHn+m5ubmp3d1c7OzuaTqfa39/v8yuZv+p3+7hchv9dT+vfwND2hVtv2RbZXmUag/urlgLg+2xLeBrncnmez5qnXi0WixWbZawynU51eHioUkqf42sdDIfD/mQ0182svXEB1zKRxSZQdzvpOBE/Of/XOCPzde00eSxub29rY2Ojx5J2Mh5ozqslw+M28Nw6w4OAq9uSTU0KPOnmZLhq12vh3BqTRzbXz5Duz3B0tjHLZ33IRBLgZZ3pcRFI+WMmS8wBnuH7ZC8JsAxKE4Tmu1kf68ll+blkKsl8J/Pq59JTrDGUrP86vdQ8vFobDUBzUsjQTW2cZMioFkHgmM1wUjKzTZo0aXK/knbHINJEB0kIaRV0kUDyghyDDy/yGQxOFzlJ6hfndF13Yc9u6eIi2bSbtAFceETWz6Ar51Uyr5lux/d53iUbSRtAAO195w0uqQcC6GyD65VRXWIS2lWDM4bYrSfa7Az3JwHi99J+Usck7WqpBcQdJr3sAPBYWuuFYXpGHOksUBdMXfB1jguSQ+zbjMoSI7ovTcTZfidJeDv7el8LtliJOwGvZOLc0WY2CUayg8l4Zjja5WQ9+bdULIFT3sMJo8bUrQMzCebWhUQIwjIcsi7FIYEY9cGPpgbYWCbrneCVH/C6fk+AXwPbDHGxbnxXgld+ABmyyXAF94ojy+qP9DIAmoCZzpM/HI9Xttv14DjLsdCkSZMm9yO0r9LqnGqg5BA47S2NPtk9rxj3TgKSVlZ0S+rPkDe4Y5SPdlFaTS1jHVzfzLf0PJ3bPnHeJEBL4EyCyu+VzsGr38d6J1vNVfU8/Yuhfi4Yq6UkZpSTeqb9cl0zZE5cQ+LI9xMDJF5i3xPgsmxGchnh5gEPCV75PPuaGMK6SCBK1jgxYYJe6o2OAnetYD39zgcOXiX1VLvD46aX/UFYgdPptD8twdc8+Mg0cnVk13W9l5h5EhxQblQOctbRSuVAM8XtAVADO8yj4ZF5OWj8OzuidiIGt69iuznJkHpn/oekFSo/dzBwW+nt2sviwKMzwPdyosj3JkAmeHdfmt6XVtMkvDUaPbLsL05kGca3zhm2chjLISNvw+LTTrzFB0Mr1HmOE4a9POkxvJWeNr1pA9+WNvDGk1okYZ0056bJ3YjnFjNm3G7RoV4zpYPBQJPJZAWcSOpTqI6Pj7W/v6/Dw0NdvXq13y7rxo0bWi6Xunr1an8K1s2bN3V0dKSdnR2NRqMeJEvnNo6MYgIkL4TiiVo7OzsqpfQnUBlMkmGj7fKcy+2lbCdtK3jkrcuezWba2dnR9va2uq7T/v6+lstlv12W9TCbzTSZTDSZTHo8wtNBTaKx3f5+mTbAHRxsi0ykEKAlNjDxQrbWeiV5QpbcNm80Gl0ohzbLOMv9ub+/r8Vioclk0tvivb09Secnb9mOMwUkF09RP7XtzDgWmAaZ22g6vcHvd/sODw81HA77U+C85Zjx2APdbYCA0D9cscYNZ504bVSdzCuZwVraQIaS70WSHUzm8rKQcLJ3vkYwZKkxrzXPtcbk1aj7fCf1RwY0PTh6e34/wy5knbMN9KzS400GNdtLQO8xwHzRZHqTeXWZyVwnO03PkDmvedRujW2mjtg/TFup1YF942vszyZvXKnNH02a3Kt4vmEEk+wbiQNJFwgQX+McaYfcuZTcd9UggketkjyQLkacpNVwM8ml3JbKrLABXy0ySeY1I3Yu1+83cPJ1l03SyPmVztVcLpcXFizVMIftDHNeLa4fQSf7hKwoI3rWFXVZi+rRziSDSRtF5lVaDb0n8+pxREaa9XYfZ4SU+IDvr7GoxAeJBfgcSaAcn2Tvyby6zZfJfeW8JjvF8C3Baw0sEcRZIdl5CeiywwmELOtC9Hwn78syvD0Jw8f0kliHHKCZ1+P2sc0E5AlKa6kEBKX0SGtlZv6mn2fbqSvqI/OsapIhDuq1lp+VgzzbXwPv2ZeZNmCm1B46D2HgQQluTw1gcjwyf8h9SGCdE2mOwSZNmjR5UEICJ8PUnqcIVMncSasnGRm0MQJ6eHi4soDIUU/flzsO1NIG0j7ZZvt9tQgfw/M1G057mGCvFmV0HW0DyAxyQRtthdlAgj+C52RELaw39VzLHfWztG/ZHoJV9rv1RltsvaWNdRmONCZxaPDKRdxkuV1+pmmsI24YwSWWY5oAxyLHBR2F1KXHu+tJjHM7+3pPuw1wEHAriu3t7X5l3P7+fr8Zsgc2w8gGI/YMjLp54oVzGsmsWckEEbV69g0cXFzQQ++iBvwMkuihSFoJ30urHhC3fWA5GX7Pvfs4sHhKGel575nHfBOCK1/Ls4w94KyTnCRcJ0kX2prpGtQ7d2QgIyCdhgW2trZWjuVj++m08Fl/hB4PnACto42NDW1vb2s+n2s6nerg4ECTyUQ7Ozv9WMx0A7fdP8kw+1QZ19cTOFMkXF+2oeaQNXljS2Nfm9yP2MgztOowKhdYeaV87aRL7rQym810cHCg8Xisq1evajQa6ctf/rIODw81Ho/7E5j29va0v7+vyWSi7e1tDYfDfvcYkg+2H2TsDBw3Nzf7FeTeecfh7ul02s/33IlGOrdLnne5wIqMYimln6NdjnHGeDzWlStX+jqYbd7d3dVyeborAdMYeVwut9aSzk/GpN20naOezWYz5E9gxxPFXKZtdIJA97vxD3dykrRi193HHgtHR0d9Wsl4PO7TBo6Ojvot0bqu08HBQa+7yWTSO0dOPTAeIeCkI2I8xJ0VuP7E90jnKZNui3efWiwWfbqF22fcwx0QrPPbpeXdU84rkTjzPbjqz0plZ6WnUQt1E9SRiZXqDGiGnynJ8l2G5D1YE3Sy3Borap1kuLrGCvNdNeaVAyfTBvjebGPqsrZfHdvga5RMV1hniAkE6QQwDO+JtxZeIGtdaz/fW0sb8MRjb5r5OLm1FSWBM/VLnfmd61j2HMNN3thyuzFwJw52kyYWk0Ocl0zySOdEie0tbWMCJOcfeq3A5uZmv3XVYDBYAWyZ5rdue0jXMdk6sn5csEMCgO1Ke53MK+di1yHzSsk8kvQyeOIWWBmiTntBptjtstBWka3N9SzWjdvDKCztEu1yjVXmVlsEq2mLTKTZLtru2jbS6SHzSsY+Cb2019Q3CcAkgthXJMCYCmIykraUkYXU7+3knphXdw471B+TBxA/BjfQSmJHZBibgIWDhOCTf8/ysr7rgOidto/PJFBjJ3OVnK/5mRqIJOiu5VsmK5zhh5qQPaZuLFkXCieIvJf3U0cMJTDEkTmvBIvsQ7LHDAflPdRP7stKB6n2IbotOR74gXEMc7KUdGEy47hsAOSNKXfCsN7J2GjjpwnFczfzB3OuNWAxqKnN+bzXzK2d/Nls1q/I556iR0dHK0xnLlbNeiZp4me4AChP7GJKA+2JtLpbDkEqCSHubERW08wpo7hm/gzEuRCIuzQwqloLi7PergMJPLeBgL5GumU/JhlFu5JpDQTBvsf1rx0+wKhnplOYMU0GfR145ZjKtI4k/AiKPW6YlkfwXEspSSx0O3kg+7wyhGDgYuaVoV8CqvzdnZmMXOZbcIDcDogmkFkX5iVruQ7AMC+GncO28EOrCd9PEJWD0p2Ydasxyxz0yWKTgUwAnsL72C81Q53g0m3zIKe3lWXUwHvqj5Mi2+QPj+A1mddkvGusLwFyesfJvNbq1qTJOrks2tKkye3EzCuBnLTK/pndJIuVoMrzvEGbwZ1DzZJWWDmzsSSg1kXhkjlNMFk7bpZzaA0gpu2jzSUITLBDcO4wdu2AILK/LtMsNsFmRoipe7Ylc14TlzAET6CaNpmkDss1jqqxs3yegNTphc5htoMyGAxWdiDK9Twk3viTzhO37CKots0leCUQZ5+mXmrgtUa81eSuwasrUFPW7u6uxuOxTk5O+pxXn6tsLydpc4sRvcvl7/QQJa383eXVPgiGBGrMK4Gmy2BOanaE2+t6sPPoERIgJtuZg9gfoPNByLImpU5Qmkyo2+kJKwe525tg03WotbcGxPmhcuJ0X3gS8STGcAK9NufI0FvnZMN+4zYiznn1NjDb29v9SSLM06o5IOwj1oMGgR+X20bd0cFZ5ww1eWNIzYjn3ynroh5Nmkjq526fStl1XT+nOSXPp2ydnJys7N9KcMLFO7PZTF3XaWdnR1evXtWtW7d048YNzedzPfTQQxqPxzo+Ptbe3p4Gg0G/vRLXsnA+dD059xkPdF2nw8NDHR4equtOT+waDAZ9G7jHKH88Z/NgA4Np4wEDb56y1XWnuZyllP5Era7rtLe3p+VyuXLyok+dMp7wiVyHh4daLBba3d1dsUf8Rk2QSOoXvDFP1vbJuuFandoiqmQo8znjgMPDwz66KJ3vtmDweXx83G83ZTvoPODpdCpJ/ZZovldS78h4fFnX/KHz43dysTTttTETUxfYFr7H+bnM1baOrUunA95O7iltIEEa0wYYPkjvRLq4UbyvERTw7+lJSuc7FCRza0kjkmxIglgCOoavea8BERnjGlu5jmWs1TGZUnokrGN6q+uYHXp59NjcNuq+JvwbmcsEwbXr6X3Rc2c9WD7bb/DLuvIjcvlcPcmJ3u+s1bHG/HN8UWd8xnUhuE9musnrW+4UaK4DsOuuNWlSE+4E4N+TxSI4YASUpAKZNYMPL6DyMZxeGGZA4nnOwIJpA0nC5DxLIsOLmgiiScS4jBTOuSQaMmVCWt2KSzrfD72UssJMk6GlHo0hqMtk/1gvkhkki1IfiVto44gRanY4n1u3doV2kTnRjEq6P3nKFtlntjXTQ9jXmQJAvJc2MZlW/p4sa47bJCEvi2D3/XLbO0LIyjHsbSTOvIvbgdda+D0bnCkKLsP3r/ugEhzfiQHJwcFrDI0kiMx3X1Z2fvTWQw6GGki+jOmr6bV2j+sirTKxtVwcAthsJ/XJfvQExfykGvPMj6GWW5Xt9gTMD5Q7PEhaC15rIZDsA06wbJ8nx5oO7uQDa/L6kvwmLpM7mReaNKGkzcuQO8FrAjsSSwSvZvy8Yb2ZWzK8ZNgy/5BzseuY4nk2F5RxjidhwW+DNsEAhjaBOZI8RIhROa9YdwSO+knwyNS23OXIOqOdy/4gsLY+XF+ScAzPOxoqnW+9RV0SezBtgHojJnDbGY3mIUUGr2Y5yaIy75cAmHjAkuOK7c1UOuopn7GjkKkgGZEneL2dfb1r6+sKcPsIb3LMrbJ4qgZZMYIsInj/7o5zI3ILBkl9JxFs1EBljfljzkZ21DqPgoOKW1ZlZ7HDEuh5UHMicGfx7OWcOKT6Snf/nh+ZP3wyrzkYWFfXjQORDLgHm3RxIDPtgV67JwYm6hMk+po9fE8gnKTopfP0tclkopOTEx0cHOjo6Kg/ncPjgzrh5M79EfODo85ysqIu6UVzAmry+pb87i6L4vjv60BrGzNN1knXdf02T+PxuA+5c0W9Q63eCikX5Eh1wLexsaHd3V2dnJzoxo0bmk6neuihh7S7u6tSykqI2tsrmSDIVCraJovthMPWR0dHfSjewEnSClvJdvtvrjPzVpmKZmDqUxWNPbxd1ng81t7enmaz2Upb/JyxC7fL8ulb3CbMTkPXdT2OcSjfJ0+R1bTtMI5xCp37h6dMcUtMrnmx3eXWY15c5/eQJfY2ZJL6LSMXi4X29/e1t7enk5MTPfTQQ9re3tZisVjZLsupmNZpgu0El456Slo5IMh4Zbm8ePKqpF5HZvxLKf34dv/R3tsWM/q9Tu4rbYDhbANNAtFa+JXgLsPbBJ9kt2rh5HVhYD9/oaEBYHkfQQl/T5aNnoGf9w+v18Lsri91mXqtpStk3e+W4eUkk6A+Gen0Btm+2nPZ7pqe1jGrK33kAAAgAElEQVTZklacFI6Ddc8wadyTNTedpo6zDNex5rRwLKZe/O5ktu+UzW/y+pdaRIXXG/va5E7ENohOtxk7kh4JYgxsLCRHXKZBg6OiR0dHKydv1RhFAwnb4MuinGRVOTcbJObe6IyE0a6QXXa5ZCJNMHneN3M4GKwuSmM4neSZ9UOcsu6kRtqp2g4FGa1Me8jnGJ5PO0+dJjNMh6RGOtEpcH6pAelyeb4XsHSeF20AT137HcQafCfHFeuR2IzsNdtKO2/saFCbkdeaja7JPe3zSoo5wasbnOA1gQG9Dn4sDPMagPDvVGqC1xrzmoDW19Kg8HoN8DDMXQNl2Ub/ngA27/V1ThJZlxzoKa5HDXxa1v3d1y77e+06+zUdmnUgn3pOJjOdGE5k/BDM9nsSy33j0omp1Ye64Vir6SpDNRyXTd64sm5yXTcumrPT5E6ELBTZNgMDX2MItjbf0jYlc5bg1UCJi1hdJoFFjYiSVvcfNaDKE7tqAMWS9iaBjn9MWtTAq5npjY2NPmyebaF+GFnz+hzulpQ5xIzgZS5w6oM4hfmrjNjW1oYkeOUzaadsB3NBlfVvoDoajVaOzuVYct1zUbKlNgbSYailCVhPbivxnssxeM7yXVYthSHlri1w7iuWeSMMBTPnhAPHz9lDYmoBmVV3EpPX+TzTBmoJ5lYElUFlkXllaCNBqsEKaW0mJJNiJ7Dhe2ppDvwbc4azU/mOGgCugeXs+HQaslzqjXmebrdZAH58biN3aGAOFtvMsq273G2AbSSL7zCNJ1uvHnXeFutivdkpqnl+btc6T5LgPLeg4WTp9zZ5/UuNWfX1nN84rsiI5bNZbpM3thh4eEW8Q9jc9sjzsLei5C4EZOU4Ds3CTSYTDYdDHRwc6NatW5pMJrpy5Up/yuB0Ou2BoW2s517Pd8mWeW6V1Ntxn7SVofgEM3zec2yNJTQAOz4+7k/F2tnZ6U9lOjw81GAw6HccODg40MHBgRaLhXZ2dvoQOxdtGTwdHx9rOp32aRXj8bhfGW/gyON1Hcrvuq5nas1ekk20Hp1X7Lob7/hZkn/WAe0c9eb5hOH66XTag9QrV65Ikg4ODnTz5k3NZjNdvXpVV65cUSmlT+copWgymfS5sD7JiymbklbY38whZvqo2zwcnu+363QAr1OxHbddzlQQ23yPja8IeKVXUfOSCBDXsYYEd26Mn0uGIoFoglsyeDVDwFCByyAA5H0sn57XOibQ706wWsvXWOet+m8ZnkmDeBn7elkn1xjvWvtZThrqBM4Mu9Q8p/QSsw/pYbI+GTawvunV8YMig8v2+icT4/lDnZGhT33WHII79QybvPYlxwKv55jm9TY2mtyLrGNea/a1xrwmc2bCwHbWQMNbLBlcSauOOudeSSu2Kd9FgsfEhbdJzBO7at8F37NuDQl3DXBKAnMwpfMtrcw8Mhrsd9C2kM11XXkEfDKlTF1gNDajpLR72Y+XkSrJvDLCmP3BhXYEhNYHiUE6OGTXa+mbvubx4zFJvfma20hmPZlmlkkyi0CY19OxuUzuC7wSNGaImy9fB4aoeCrAz6UHSQVS4a5XXmN9Ewzle/ixJP3P5/0OAtp1zCvbXguNu9wsz/WpASqCqRrzmpJGldcS+PHjY3/WBmx6jb6WIXzqLvVcY+X9bIYb8qNOx4ft5Tiohamy7bWPxW3nhFdzopq8sWXdXHEnzzRpkkLwelk4f91+5NLFeSxBAxlVM2CSViJgmbtYm8OlVVIoDwUw6+Z35jxvSaKjFnlM8OqyJfUr63PFvetUWxNBPMAV+97LnXmvTF1I8Jr22+1JwsV9ljnNBK5JDlkHtj9ZroG37WAuwvIhPryehzW4j9eB1ySo+IzrSsBJ8Mq6+pkaAZbg9U7lrhdsJUOY4Vh24LqKkMF0Z667twa6/F7/33+rMZUJAmvMaw6M/EBZb5bhjslwQXZojfGrgVfqlff4GsvM+qd+akCVdcln+X+2e50XngOSkxuF46IGXvMDJfD0xFsDzfzg+E5OOglO2Q/sowztpk5rTHAC/yZvPKnNWcm85vfWpMk6SUed859BFEkD2p9aZI9zLkGp92J1iNohbDJzyQx6zjc4pV31GGddeMoWwWt+Mwm8k132NafsGTwaqA4Ggx68Oo3CzCt3L5JWt8CiDTMY5QIz5+0aGDJlYh1DneSP657hd/eD25QYJQGv3yVdXBhFQMyTJp1eMRqNLixkc1tJSpHsybFELERSic9kXqzHUjpYCeq7rlvRi+3ynQDZe94qix9XDTQmqOTHxL1gfVKIOziBVTacHikZOne0r1mRVgzDF/ZaWVde53NugzvOne0zlZ0fZM+GYJwfNzdDth49KD2wHbrwe+wlZXgomdeal1wDwL4nVxe6rm57DlaXzyR458vw42GIphYm4GTsiY39xjoz99f505mQz/7nRM29ABPAZn6xr/mdOVY56XJSpUfZ5I0jGVGoOc90xvm9prPTQG2T/5+9c+mNJEm2s2UmX/lgFbt7eqQL3I200ka4gP7/77iCIGgjQdLVdE9XkcwXH5mpReELfnHowequqdkMw4BGFyMjPPwVbseOmZunkB8d0EH85fHYz5vqE6jOzs56YCFJgOfn527tXiwWdTp9OYWqqmq5XHZpp3w6FqmMvL+Ddzl+1CEHBn/EofrErpZn0rqbNrIOm1ElHSLxtFdXV1086/39fQfUPnz4UIfDl7RQ+/2+O4UMHW+ixDG6xI2Sbgrwh+t9Pp/XxcVFPTw8dLGr9AntN5voY3mJKWajHJkBnDnHeobfMTKIJ7Xuns/nNZ1Ou5SRZ2dndX193enH29vbWq/XtVwu6+PHj3V5eVnb7baLkb26uurSsTklGhkpDEYZ78Ph0MvIkAYRepXTy4ivzYMSbGiAE3wa598NvBoM5SQcYvlaLlsGHMvGoMdlJuOYf7fCBtx4o/2q14nss10Jll1nv4uFwsAsN/e4D/zRUIaBttlLx9G4PZTn/9MnboOvuZ88GZIRTXba92TYwFC8ioFwaxw9TtQpjRu3OZnRFgucE5zyWww4bXJf80yOGWXnnOL+t7wFo7wPaTGsX/N0jGz9KG8Ja02GCJjZ9JpoNjTXTa+p3nw0mbyk4DKQwiUPydJ6l71lrINVr5PSU2cTHal7/Y1Y/7a8awaJEEdmXg2+AI8Aysw40KorbSbdVDKl3sQ2pOfd99ZxJqwMcgmF4P6veTbp56r+CWOQboyjmVc2jQFqk01OjNTyslIPj09ik2wv9aqqHhGVDG2LEPK6+pZ80wlbVa9BZP6Wizf3p7s2P5QEYEMgLNneFsNLp/MBtMAsks96MmW77IYxaHOcRwLFZG/TtZ0fr69lf2a90nWRzA9lZF2yj/M+yh6awF4MuP61OZHuIN/j9rXcVnZrtMBrlu+2JEOWAetZVtanpRRGIDJKi3n1NzPE1I4ySgo6kTXc2W2S5LH+qXp9SM9b4LWqXm30MaN6PL7EiiZ5kKFeXvOTyOF3J7L3t+C6mszht4ybxBNmoMqOdQCcNy05kb71BnXw7nqYP543eKUNxLz6tKx05w8RPfSZMya5X9JDw29mOHlPVR+8EqKRrLVZXmJ5bbRkSjTqlWvZ6XR6RTS6zZ5v1N3hLm9tmmNMW7HVX5NvzvPqhdjgzRMWqzGZMz4KXCK4KPyRUWaLqYTKZnJ4AHiW/3x6E5Pa7hU6zK5j2sJ9BlSUafcOFiDH7tnaYiLbEq3qs85V1QXQexclbhNbYvSDFwFbkPSzx8sMbzK6Q+EIfFD+yLKO/sD5uJmkiCeq3Q1V1Zsjybw6Dx6WNh9BpoWxYWAXGf1olpz3ZcB/VXUuE5edRo3DHsawgfcnya762zQLksyV51AuzP5eRnnf4tObcB23TmB0TKkBnAEmYWdm6DgF06d0rVarWiwWXdqoh4eHV25ldIFP+SKtF2AFAGWQd3Z2VldXV926a+LIdUWPEINbVZ3LfDqddqGFj4+Ptdls6uzsrJbLZc3n81qv17XdbmsymdRyuazJ5EsoAPc5hadDBwB1hAnwPO/ZbrfdSV2LxaLm83mX8sqAEb1Q9bKpLjdSobd8yhQsrxlvdB8MMmypvdWn06nm83nHpm42m67upA+7vb2tu7u7urq66k7Z2u12td1uuxSTPjo2dWDiJuahT9EyprEHlrjj3W7XhSgYQ5jNpl1OY+Z9RG/Jd6GOUtEn82CrxIADIOC4ymRUh97lv/0eA1/KGwIjlpYlZRbY73aMKpZVWhBZB1sWZiwNgGy5VNUrpTcUWpFWmd+f9yfwHRJbUra+KDuZ11aoRPZbssF+V+u9OV7u01T4LVY2Qy34NwtxWsl5P+93Owz8R3kfMjTWNn6rXm8IYT7+3m9ulFFajF3LTW1vlz1IyYSxVqGDnBye9RwADGiB2TS7x/sBIWYl021MvVt1TvbV+jCJGhNIfo8BPsDdm7YgSWxI5ntMslX1Mxa4fxx6kDGqyR66TSbSjG2S4EOSOc/9GEniEQoAuUPdXcf9ft8j2By7mntU7OLnvWbC7W023qG+1C1JotS1XGOuJN6yYfM1+UPgNcFQsgk5YOkqyMo6bMAxHgkOWot/gqPsgBagHirf70jQ5Hd5YXCqkgwboK2uq9lB6up65WJkJjutkNYCkPVstct/u/+sZHOchxbMLM8fcoLFHDcvHlmXNEByUXY9Wu020+/fPXatRZWx5PecG0Nu4FHelwx5LrzAW4lWvc54MsooLTGIsPfSREfqi5ZHq6VLXYZzhFZVx/QBOJz3FBbVa2YST14b/XeykV8jXijP3tUWmM/UVs7r6uwGsKMGisYklFn1wvy53wk9oC/M3qbn120CC1mvGNC1QK2BtdcVg0buNVAFvB6Px47NrapuYxnglbABxwe3Yqg9dmmcOLTAmCFJpmTTAf5uK32VeMh9+jX9+oeZ15yEBgHpXsgJAEilUnSmc5GZbjfTOASQksk18DGYSevPYjCawdUJ8mazWTcxaCeug7QAaSvW7GTyckSfwwb42Og7uxnS2qGdBnStxYpFzQuPFzEkFxv6jz7JsAEWP8dj0b8+L7mlrNONmguxFxaHDaSV6w/FINsfaNVLImfHh/FR0QYv4txv4yYVQoL8Ud6ftNY/3KsPDw+dq8wpiL5m1I4yStUX0FFVnU404DAIaAE4AJjjPgEqrHPz+byurq7qdDrVZrOp4/HY7bKvqs7dfn5+3oUY2E0OOGKuGzB509NkMulOh8qjQA2UvAazLvt0MQMzXOmcBLZYLOrDhw+13+/r/v6+y2tKmMJ2u+3e753t6HbunU6n3fOES5xOXzImbDabmk6nXdjA8/OXAx7MdtpDB7BzHK6PsjV4pJ9cJ3Q1mAJgbubycDh0IQLH47Fub2/r+fm5rq6uulO21ut1ff78uctCQD8RFkIGB+YKGRe8ZtGfsPI+1Y2QBZhpxp+5SyiG03W5X2w8YHz5hFOHFAzJN4NXAwiARTKvAKWMeUVsDRqs8B6ktcC/dc3PJlBNl3I+O+T6TvYumVfKtrWZVgz9ZECegIw+agHPbIMt1+yTfFdaMi3m2vfa7dOy9luuqWRLKbvFBBsgtpjXdCnl3KFsgwjmYIJ1z6kW82qA2hp3yve8H+V9SctTw3WzE44VSwOsVc4oo1iSweKa16zUF5AfZgOr+idY8jdGPmSL2diq6m0AYg7nznHKcugca69Zw5bnsKUzXF4yry2mMkmy5+fnXnysCSj3EX2ZOAWwltkJTIQAyh1OYJIq9ZBJIuvv1rvRK0Njz9rhueD4Z9puw4GwgaoXQ8jgmT5pjRVrFikqU096o5vxVeKv3PBGGSbZzMq7/S19n/JN4JWKtkCA2UR3NhUyQGAieMK04g8TDGVdEhwlqGuV52dbH5Mnk9/HR5oTwODdH6ytsqyH//ZEYFI75ieZ0wSMbht1bblqcsIZXLru3Jsfnj+sr7HiQyDv9zCX2a6sZwtwJ1DwHEijaQiUu44t4D8C11EsXtdQNN4QyHfsefO1RXmU9yn2StnjxZrWWrPsTrf3Ll3O/J0bXw1oAcFDG3Nhy1IH2o1MnUy+tIiNtwC6sYAJHG/AtZcSUOZNbL4vwav7hXcZ1JlJboVW0G/0R3qC6Z8MeaBMX/c4pevc44r+of7e2A1rOpvNOia5tTmMunvcHF/c8tC67jaO7C32/OV3CD4MEt6V7fSczlCLrxn63wRe06pouZ0zDUQCLQbC9zNhDaD+iGstwZuvJZBLgJsApvVeQIxBZQLLZP6yTQnukpn04uIYWkuyk60+oF6+d0jSKvSHksaJrSIbFi0g/XvHKZnO7CuHSGS9/RHYGvT9/iBagLQ19vkeW8jZhlHel9iwqeofdegUPey8NtswAtdR3pKWDk0Qlh4pxxgCfFn7ASqslbBd0+lr17a9B5RDKJbBa1X1yvYmqarhOFyv57nmGqAD3A1eXW+DbkAZIQa0JYkMgyGDV/Qt321V9b7bZHn5xhPMJ2k1hJHMpGadWqDO+s/3EQoxmUx6WY7IypDM69fCOHOOJUFnHEOfDYHXFpuemMbGS4JX+ua7Mq+8jE6gE5nQDw8P3TWngSBmg11vHihYCmItKCN32w0xp9Qr65mMagKVBNEt666V2sNWzXQ67eh7fyyHw+HV8XW2YgyCPEmZLMSZEDPCIkI9HBdM37cAqC033pUfg/uSNtuFlCEdOeF4jo/B/TnEkCaTnvcY/Cd4TYbci8hQyhiDbuo7ZFHmvDAzQd9S11Hel6SHx0rILMh6ve5O+7m6uqr9ft/Fwg55S8b5NEpV9eJbOVUKwME8M5CAfSQWk7hNQCdxioTxTSaT7vftdlu73a6qqjuJ6nD4cjrV4fBy4tTT01Ntt9ueriYVEoCJtdesIGxoVXV6kjbyLfjQhNwdT1oqADYngdFW4jmPx2NtNpsuhne1WvU2clVVb4+DGUHiPjebTRcje319XZeXl/X09FTr9bqLYV+tVnU8Hmu/33dpoOy+p00Gw+hpjAMDYqedguV1BggDaISwjsViUYvFoqbTaX3+/Lk2m03NZrP64YcfupPZPn36VMfjl9jgm5ubOh6P3ZjPZrOOkZ3NZl0cL7rudDp1+3pIywVpR7ys22LiyMbRbrfr7keHmrk2tiH8gfnCmjokf5gGsFVhy4MBwPrImA2DHgMAT+LZbPYqTiYX9haz2vobSYWT15Ah5tXlpWsasON3Zx8k8+r2u0zqYDckHxn3JEA140NZZrOZUC1mM10d/s1WokFfi+11GXlvq6/d1hyrrzHnrXLTUrXrwf2VfUgZQ2MxxNK35uIo71eYA/7WfSzi1dVVbzNNgtdRRrGk6xSdYsPHBEiSFMRb+1mvX1Uvbt9kEL0ZjHLM2GW4VWZGyLo73IDnJpN+RpgWS2wXs9tujJB5VtksfTz240EzlrOqj0kc19t6nmsZTuAN19YNHh8TSSZj6LdkZK0TqZv7GXHIxGw260iuqi/Hxjp3LeNoMtExzV633Ccm0zxGDu2gH1tkImUOjanXTYeitDDkkHwzeDWF3AKvHhSnrLArmwHnNxqXAGqIweP3FjDh3qG//UxS/n6vWUqeMyPnj9KA1+31ACdgok/NRjLQ/sj98aV7JgFVgk6znENgkPv4IHlPfni8t9WvrbCBFhj0c61x47msf45dvtvgtWX8tOZM672un+dFzttR3rfktw6IwF0HeDXbUDWetDVKW6xbmFP2PpkQ8TWARCs1kYESkq7yZAcpBy+g2coEN1V9feWNzA6j4/twG6mXwasBJdgBAJpe3qrq7crHuzEEXlvvpy8AxMfjsUstVdXP2JCnd9mDR7m0CfBqMM+4WUdlCq8kn/iNcqk7hsVkMuk8O6fTy+EFrEMGusyHTCHmUAzGs6p6rLXjWLmWbTRWo64ZokAbjUmsuzHyYcrfkj8cNtCyUjKUwFaKYyycdoEBoeFMOCZgBjjTSFs8/M7ApkLgPiZyWoCIJ5NTX/gjZrAZVO/EM5DiudywUfX6+FQPHBZp1cvuwP1+3wVdO2zA6biYqJTveNwMUaBd9HmCcxYfhw0YhLfYVMr04kCf5kROsGqQbWBNub7Xfew6Oc6L9B02LL42RwxAPB5e+FjY3XeUOcr7EhugacTP5/M6nU51f39fj4+PdX19XT/99FM9Pj7Wer3uFK4X5dEIGsWCq3sy+eLeRy/A5ju/J+szuhZ9cXV1VfP5vGMkq/q5VgEznCJFCkSfLkVIwHK5rNPpS9oodBHhDLh5Ly4uujRS1AnGlnsIJUTHwwriOicUoKq6dFXPz889YLZYLHppvg6HQ+/EsLu7u9rv993JW5PJpAuloE4GVVXVpct6eHjovtHValXL5bKm02nX7tlsVqvVqtMxDqOwvqSveQd6wmDMmRF82AD9hz6lvt7wCb64urrq0mXd3t526bJ+/PHH+vDhQ51Op7q9va2Hh4e6vLysjx8/dkCX9F/gDNpEPzPvmDvMp9PpS2YDQkU8viaaAKuwv8xRwlIIjTEIZ17wG/e/JX8T82ranMWchbwVNpAMnoFVurkNcJKW5n7K4O8WI5gMXrIeCYpcri0E32v6vMWg2NpK4OY6Z7nphmEyc82AnX42kEpw6g1KWT/3VQLMBH3JRg71XYsRzWeHgOpQv+RvLQBc9TJ/Wm6ilrHQAg2t+tngGYHGKIgBLN8b7AIAhKM3j8eX3dDJAlWNAHaUL8KcMgPJ+p46perFM2aWlc2C3kSVa5h1reNPk4iqqt4pWyYKuEZ5Zn/TcwqZYO+qSSj0mnf2Qxb4Xu+wh+Ty5i4fWetwArOsZkW5liwvG5wAjj46lWsOrUBnZOihx836KFnODB3Isc69FvSb863SH+TxrXoh2QCqDrmg7X6HGW6Pr2OtPUa0kflK/SjbXncTbUPMq5lch7EMyTeDV7sjvJCbGWNAzOC14jBpbH5sLhdJgJWdgNitkqxhC2hlvd2eDA2ADU6wnGXlpE4mscUC0qd8JBkzVNVnEh0XYuqev7PslgvdfZthEu6XrG8LHLYUcoJcv48+SkCb9c/3JshsGT/JArcMnBQbLzkevjYCjlFs4FRVF4N2OBy6TREkf4dVsCen6nVIzCjvW5LNr3pN8rBGmdjgb2/sSkKC9ZL1HN2MjgEMAWoBMgZsgNcM0XKYwBB4dXgBXlqDb59y5VPAErzCIOKhBegS98p9BspVL0ARHZ7A2wclOOOAgbyZ2wwbcH+kZ8YYwmELrpPDBvgt14kWeH14eOg2kM3n8y7Xq8Er12DxmUutWFRjMd5l8EooQouYM1jPMXUoR2JFjxX9+t3DBmAW8jSPtLocM8IuNgeSUx4dhrXlNBhVfeDBOxw2kFaEAQtuCSN+A1QkPzAmmDtyyJ1swNiyiKk3A2pwS10px/EebPQg+wKK8XQ69VKCwNBSH4+DLU27HXhnGgZMVizMDKz2ZPWETTe935NMtgG3xyMtVwN+nveH6wWcj4kdrh6zfHcyEvnhYSHSz15M3fZkr0d5H5JGkRf95XLZ7X7+3//7f9fz83P9+3//7+v8/Lzu7+/r7u6uY8Zyfo7G0Cisgfv9vtMDBmZV/VSKAAkzcNvtts7Pz2u5XHZuWrNfrLmUy8754/HLLv35fF7H47Hu7+879zTr6mazqefn527XP/ppOv1yAtXp9JIw32Fd3OMNjNvttnPHLxaLqqoOgF1eXtZisejczrj+5/N59+77+/tuJ/tqtarT6dR9Y/P5vFarVV1eXnZuf8o1LoE5JUSBnfjz+bzLOPD8/Fz39/d1PB67sIXn5+fabDa13+97QDdPB03Az3VvLnOdDN5Op1PX92YqwR9nZ2dd2ACnae12u/rhhx/qxx9/rPPz89psNrVer2symdT19XUvPIN5w/sJFSEUw6dVXlxcdNcI16DNsL7W6dS9qrq42/Pz825umblGJzs7BgYIZQzJNzGvLNj8bYCUrGMyoC33q5kzx7i6M9ICcVomPupk6obAUrKfrk/WO2n/ZJhdh7dYR7c1f8u2ui8cG5KAM/vT4DKlxWoOsdoG5C32sQVM3Z9vXUvmNfvWdfM7WmVi/Lh+Btx+bwLloT5qsaw2PCxDzPAo70e8TqAMptNp3d3d1ePjYxeTh3IgPqy1Xo0A9n2L3coGQV5zzUiZpEg3bR7hTflmuwBCZjadstLMojcdJoNp9jSxAfe47pTlzT+0B53NNRNWBorO62qmkfhdYjnN8kJMoN9azC/MNc8fj8dXIQpmrPmWk4X0O1rMa4ZN+H6PdRIwxlM+Gpj+uLy8rPl83oFpb2wzw2zW2ay5N7yZ1ONaMs7ck+RctsmbCN0vPOc5jfHz3ZlXV4gJ6s7lPrsNMsRgqOwWk5WsZutvyjYwoVMz/pY2JCjKCcZHx0RJ13a6dQzMXF6CMrd3qK25uHiBquqfdAVgc5kGsFnHfL+vGeQNPWPG0s8ZpGa5/jvnBmOX97RAcxpHfibBq+davjvBqd+ZRgp9mG0bgcb7ljSMWKDJG0nuRWcc2O12HUvx1lo4yvsU5oNBnK+Z2Gi57dkMY/AKA2idWdU/2dGxnplzM4Ex4MZufZhF9IPBKnrUHiwY2jwUwJ5OA1r+g6EzeK2qwVOlDF7Txd8Cr44ZJu616nV8Le32TnqPB2PptpukAZvY/Z6EmXW+vZL8Dnj18biPj4/d5iqny4LFb4FXj6+9mMYfnk+ZR517Ep+5TwDAZpjdV/batu4fkm9mXs2aVbVPnXFjWmDCzxm5U3YLJCTgaU0OWykJXqtex5sO1dsgPQGdF4NWnI/fk+yjQbR/SyBuAN2ydrNP/W8D2rQCs/+G+tb9kv1ot3kyqi2Q7Puyzi2QmSyrxzQBsAF/Ghzuc9rRYtspy+A2WV23I5XBKO9TvE7A2FxeXtbt7W3d3d3V2dmXROqAVxSe586Qt2SU9ym4lAFWLS/QZDLpwAZrX9XrTbezk/AAACAASURBVE/cl2s0/84NUQBJHw4AiPMBCo6zRc/CPpqs4h0JXp2xiJA4s5kOXTP4zE1KVdV5OwBx3Ifb395Lh/I57pR6EuIIQDcLzXX6mW/ZbU+WO723VS9hihnbOQReeYY5YNYUdzu5XnHPA159cJRDJjy/PG7E/PreqpdsCRg6zDkzr8ZsLfBq5jXBq/GONyy+JX+YecXCMfpm4A1UHZzLvWYwkQQWBoweyNzNaGuJCWhg4oEgV50twqHwACbM6XTq4icZuLQsbYUlwEwAZ0uMSUw/0K98ZFgduCyenp56p5P5Hj76BM9mg5KRNUDLvmYy5TUWntyt2ALjeW2INfV4ADwZg1wUmV8GmB4P6ud0bW43fcGiSBtSvHvVGyI8Zo7THuX9Sa5hKNjZbFbX19f1448/1v/5P/+n/vt//+/1+PhY//E//seazWb117/+tT59+tQp168xC6O8L0GfwqKhRwGgBlB533w+r6rqUjiRSuns7KwHRPnPcZl4BIj1vLi4qPV63aVUckwqMaHEI263256OBEDC0E4mk16uVMoiHvNwONSHDx+6E62coot1mvdeXFx0cbn39/d1f39fT09PdXNzU/P5vPb7fd3e3tZkMqnlclmr1aqen59rvV7Xfr/v0mJ5U1pV9eI3vdGSOtze3tZ2u63Z7Eu6rOl0Wvv9vrvmE8HYJ+GjZB1qgW7BEACfJF6iT5OVBgNNJpMuBpg0Yff39116vtVqVYfDoT59+tSduuZxZDwA+bC0Zm8nk0ltNps6nU7diV6cZFZVXdoy8lobgNInAGvq6xAUYzdnh+D00u+aKouJb7bTlHbeV/X7WIUh9zH/NgjqKh4AKF3CGTbgerbY0Leo/Qwn8PvMCCbb53vzmpmXIfc2EyHjjGzJGRy6zxkjJxhOQJ1jY9BnwyGZ8WSas505F1pj6b/9Tt87xLJ6PJKNNcD1u22c2Gjwv/PaEPPqvhplFBvGbG7Y7Xb1yy+/1Ha7rZ9//rnL27zdbntrlcsY2df3LSaHzIylznWYgIkUjHyMfrvOM7QsiQaDGXawA8QywX2SAIBqM3h4IqxLIVwA44QmsGkowx4oz8yr4zzZiAXTCJBC75m0ymT5LTLL76eNaSQAsuiLJLyG2p6eUntrTLr5P1hZ+iGxBnWEYX14eOiYV07USqDKODpWGeAMYeP3Ov4aA8NsLOUl9mL86BPPUTPPnov0i+9/S75J+xowWFrgzGALSUDTup7iD833tgANA0Gnt0IMEtggnmAe5AwJcJ3SVU0/pKvazyeAdv8lO2n3QtL07sN8zu3Pid8yFNyvdlHYLW9gnAaF25Hj2Rrn1n35niH2NvuMZ1tz0+1uGTL8O/smxz7bMoLX9y1pVMHGLxaLenp6ql9++aU+f/5cf/7zn2u5XHY7tqv6YTijjFL12gNX1dYdBlt4qACFXAMo2otk3ec12JtkvPucpPWZ39SbbwxeDWYgXFpAEfAHIzyfzzugmSm6AK/OV3pxcdGBV1hmnqfOZ2evj0R1n1BP18neNjOijs8lRAFAbPCansoWeE1yzWEHjLEJmAxJMJ4ibAAPLSETMOOTyaS2222v71rzy8Cbccs8uQbKhHvYEGH+0gbHLTtdlgkw6+AMKaBub8k3Ma8O0uYDSBDBwLlh3JMgL9lEX6PR6R53uIItEQclQ8s7JiYZOE+kqv5hCQ5kd6fnfQ4vSKBc9fr8Zg909peBERMDKt/xT57Yjivxh4VV6z5x2VUvMUu2BF1/fmPyUzbX/DuSYNp9kdYn1+gfJrKDyvlAh3Zomn2gL5Ltpo5e5L2YUN9UDF50cpzGsIH3K2loM+/Oz8/rhx9+qMlkUv/jf/yP+td//df6z//5P9d/+A//oZ6enur//b//9yquzGvdKO9XYBwBIrCeBnFVL25WdpMfDodaLpc9RhJ3/3w+f5VjmPXT5foUqeVyWev1ukuXtVqtunptNpteKq7tdtud/uXk+KRYckqu0+mL+/ny8rIeHh7q9va2NptNffz4sT58+FBVVXd3d3U8Hrv7iBUnnGCxWNRyuazdbte5829uburDhw81mUxqvV53u+6vr6+r6oubfLPZvAJ2PuUr63l5eVmr1aouLi66EAVCHOh7DFFc7xnmBzveyjAC84xetV6yPgescw1Dg/5eLBZ1PB5rs9nU3d1dXVxc1M3NTd3c3NRsNqvPnz934Q3X19e9eGHmm+N49/t9Z4BfXl7W/f19x+iuVqt6fHzsUv6tVquazWavDi4Adzj0wKEEGBRO/+a8vMz977phq+VOreqzdAlCLWbO3mLPDGz97rwvn/V9ngC29lrMcD6f1oHBcqueLZbXbvesa4t1bfUD18y8JjubLGLWKcMNkl30u90vVqb+jbIpJ+eGwXWLmRxivM3i0iYbGu7TDM8wCG6xs9znPksjCvE1z+WsZ7Z/lPcnOQcdOnB+fl7r9br+7d/+rX766af6+eefazab1WazecWqjDJK1YvxDEDxOpq6IV30BmB266bhj47wvLOuzPRLgA4TIAYbJMLnfa5XS/eixwApEDMJKO3OhvGlfgBFjo4lowdMYSbmz3AAZ2HwPgvehS6H2QRoHY/HXohDppwy7kiW0eNb9Xqj8RBuMDNqVpbfCJcAkE6n064/Z7NZz7gwa5ykX2seEHLijXtJDFJehhwCjCeTSW/Dm8mxoZBPz5W35JtjXj3gCVKHAGgLvCZr2wJPngiU3yrT9D0dmoAlOyxZD3/YTh1hQON6esIPgaqhjVwprQWq9TEM9SH1cp3M+iZYzP5nMmefZNlDYSNuh+cB14bu93NemNMQyo+kNQfyXdk3nl8J/rNfvNi7PZ6Xo4xS9TrOfD6f1263q//7f/9v3dzc1D/90z/V1dVV76x1MzFVY57X9y7MCYML1u+q14AnwSvrkT2jBq/2NuU655RIJOInJhX3OSAQRtDghnmfOos68X6TMAk+p9NplyjfoQl4H6teWGdYTlhWPJMZYuBwB/fJdDrtAGkLOJkRdXwtcbBV1TvEptVOg06PMf1uHJXe6PTwVr2EAjo0wSnLDFLn83m3WY++wwhxeITrTvsN8ulP5gZAmXnBPKRt6FPGGWY2Y57TC21PeG5AH5JvYl7dGDMOLeBFQ9KqyUWbQXGgr4OKKc9g1JOg6iU9CIOJlZgJdr0o2NKxJUI4wOPjYy8cIVkTPmhP7MnkZYelFxYPWAIwg+ME8lkHL2C2aqkXdSIeKC1yZyDIj4WFxela3Gf0Lb954iL+KHk+gaCBsT9cxtspORw7Q2yWnzGrUNVndDNkwR+bPy7PCX9cDhcweMUwGOX9Sq5FXtR//vnnOhwO9a//+q+1Wq3qv/yX/1L//M//3Ln3rOxHADtKVXXAw6xnxmg6ntAAkJ3nk8kX1znzcLVa9VhK1lezpOiL0+nUnU6FW3+323U7/E+nU22325pOp537fb/fdydvEbt6OBy6MAQAE7GXZ2dfToY6nb6ciPX58+cuQ8fFxUV9+vSpyyzgo5W3220dj8e6urrqsgjc3t7W7e1trVar+vHHH+vq6qoeHh5qvV5XVXWnbD09PdV6va7j8dhtqLy4uKj9ft/tlCfkAcCO6xwjdL1e18PDQ11fX3f12u/3HcYw80tmA5hf612+dwNIb4AD+FtH4WpHhztLAmO+3W7r7u6uJpMvp2n98MMPNZ/P6/Pnz3V7e1uHw6Gur6+7DAGcsgU+MkNNf9B2vEXOFLHdbrsTvqizNxfOZrOun+/v77tQFjIOYJCYpbUBge59S755w5atv68xry3LEeFZ/zbktk0G0GDFrB1gzNf8obqOPN/rlGl/05OZV5dJnQxq83re3wJ7lmSSKScHstWHCegyaN6scYu5NPOaoQFDbOZb9c9x+5rwvhyrt8IGkOzXrGuCT8plweCZnFN+P/d8jXke5f2J14HJZFKr1arOzs7q06dPdTgc6t/9u39Xf/rTn6qqeooj14tR3q+YeTVQHfJGWtF7k43dtAa+rRh+yjXRhFs+Y1er+sSVUycOkTR20dv9TD054hWgs9vtOnbXcaBOz0j2AxhR2GIzshiHtN8sq9MhmrSpqh7RAsgnxAGDwBvTTLigG5zZIAmeFu5gPOxZtT42oUL9YHyJV6WOtAXSCqOFkAeHYliXohfR+xhIAFrjIAC0D6swYeX+M3vr+UA/GTelnv+afv3msAF/QC1F7kFrAUqLB6uVEsqbczz4iGl0s5MGvwZEHrScLNSXCdFy2bdiNxhwTzTqkUyn+zLfaRbYk5x3GggmQMtJDnh1f/rd2YdMOPdTgnbXEWmBYf6m34eMlla/mLVvjYeBcc6fobnVYn2pt5nrnBOtvqKMr1mGo/xjS84LK0PORt9sNrXb7eqnn36qP//5z10cGop8NIBGQVrrb4IX6zSDJYAWniQDRYOFqr4ruup1rnXvYCfxfQI23gd4JQbS7nPKcxxvVfUYyRZ4bcVoGuj40AQ2GMH6wjIDpn0oAs9nFoaqF2+kvXhuIxuxfAR0xsyaUQW80veMr7939KLHI7GIgTEYyvjLbKc3m5E+jD4idnnooILU7fSTPcvgG8Co50VLLyd4PZ1OvbCLJPdch+8OXt3pji9tMQZmqByHapDAfW5I5jVLNjM7KDvBLKPvzzq8xQzyzhZ4bbHBrVjMDIr2gNFuD06CpqrqAeSWovO7qLfBK2UYePs5JBevqv5xhG439w+V1zI6EgjyXIuRpW+HmFcYBc+ftwwjzyPXz6EfOSZm0VrhHZQ7Ao9RUhkxD5fLZZc4/fPnz/Xhw4f6p3/6p5rP57XZbDoGyzGNo4xiPZUxqsnIVfUJFifbN0PKGpfhZV7rrMNgNtkExI50AKfBKwxtZtDw2m1AXVXdTnwOBfDudjYYVdWrU7bMCPI84QnkNq2qDqxxb9XrlF7E62bIGH1h8Ho6nXqAzQZB6lkzr77Wwi7Wi46R5b8kb7jmcWR8zYDDvJLVwayx89RaT1vPu59oD+F6zM+Hh4eO7fd4u66AVx/e4LzzrTpU9Q9Hekv+0KpJ4Y+Pj93EoMN4KQPJhKmq3iRvKX0GJIPDcYcwAe1GMRjy5iTvBPSuNVtQORB8VEwyf6hYW1iPdj3wrD8A3PTpTrFbwgA+Bz0tK67RVg9qAqkMcMfa4kNNkEsZTCQsdaw4mNt0J/BOJrljmFvXWyEIBq62tGype8JPJi87Selj6s84MD94h6/zDPOQxX46fQnc50PMBcKKg/5zX4zyfsVrGXP2+fm5Y1qPx2P91//6X2s+n9e//Mu/1D//8z/Xv/3bv3UpgZiXaRiO8v6E9Zc1yhuc0HPWaayTuM5JX3V/f1/b7bZOp1PPnU5eVFzv9ohSNrGKVdWdpjSfz2u5XNZsNutlIFgul/X09FTb7bb2+30XJwlgQZcCojiN6+PHj1287G+//Vbn5+f1008/1c3NTX369Kk+f/5cp9OpPn782B3xut1uu3XbJ4d9+vSpptNply5rNpvVp0+furjT1WpVk8mki2+dTCZdPQHPT09PvVhMcAsncj0/P7/qC07U2u12XTvRnbvdriaTSccm08fWb1XVMxisn/xf1eusEc69ulgsOnaT1GZXV1f18ePHur6+rs1mU58/f679fl+r1aoWi0XNZrPu8AIzxNQJ/U18LOML6/34+Fjr9bqbA4wFda2qTp9iwJPCbLFYdPHBeeCBMZUzQw3JHzb5UeSAJTNZvYLFaLlS/Obyql4W7RbzmjGHBnFmePNePwPaN12ejC7/TgYz2V/HEiWj7BCFrJf7JFlfTx5b12Yqua/FdFa9ZihZ5My8msFtATP6KQGnNz653h6TrI/7scWKWszimvWmDQapLebe8clpqWZdHA8GuLaLzsxwMt5DbP0o70/yO+KbR7kT90pu159++ql++umnLm+lw3pGGSU9h+ip1FXWX2b6iEH0ZhiH0qVL3GxbgqWql1ykkD/pjTQrCfA102sPl13/uK+Px2N34hzHj3IKHd8QdYQ5hU2GkAFUkfMUoArzbPLGcZeuu/eGmE2FfaQvvAG85aHkmjMjOMaUMUask617+M97MZLZTeY1DR6YVzb/JWtMu2lnS3+7jQb09JsJIPcD7XDoQRJ5DrHgXX9X5jWZvtaGLSt8d4LBXMtdzu9JnyegeCvkgAlEeUOgzB+/B4v6mzFkMhjk+T0OoKZuBklug9uaLnRP3AS4OZAtt78XuBbwa4HXnLAsanwgfNTuYwNJtwPxojUEXj0uvubxzYnt8Rha0P1e1wWjyOPCPMMCzP5uMdzuv6+B8VHen7AeHA6Hbrf0xcVF/eUvf+mSqf/888+dgrYhNhpFo1T1AYP1lHVHVT/Vo7OyOC+pmVsDT95j5tXrp72HsJ3O9Wq3MkDG3ljr1ZZOcbJ6GDuyJez3+86w88lZeDQMXk+nU28zEqwvm74Ar+APhx5QLh5Ju7MzppTxsMcuNz45RMF63/GqjFvqy6r2EeRVL2SZiSnrXmch8kEU9DEAP8FryxNLPRM7GLzSxlbKNGMdzxHiZvGkZ4hGtt/47S35JpMf161PfkhACihgAtGJNNCAy1Qxu+Ts7mVw3NG8ByvCVmZaL7hj+Fh8skPVi1ue+5nIDJopbU9U6p2T1ZYefeUFhLrzbtc7XUNeCAzwvPD4g/QiwWRrvZdy/MEyVoQNQP3bZY/V6UWTe9zndkd4YjM5PVf8fvr2cDh0C5PDOIi1YVHgeax/W8WOlSKPIIuj439sFVZV78NOsE6/sXiM8r7Fyshuvaurq/rpp5/qhx9+qP/23/5b/a//9b/q5uam/tN/+k+12+3q119/7U4rQqEgI4B9n2I9hfFub56BZtULkGB3PS7th4eH7mQku9lx8Z9Op1c7xZ3aER1MOefn513aKbOxThm13W67jVekTwLg8Nxms6n9fl8fPnyo6+vrOp1O9fnz53p+fq4PHz7Uzz//XPf39/WXv/yldrtd3dzcdCEM7JpnLZ/P53U4HOru7q4Ohy8njP3444+1XC679FCn06kLUTgcDl1KL1JMgQcIeeA42Txi1m2k3Zwe5eNXCT3wsbW46SmzFWIHCE2Sz9gKvYZeZG4Q63s8Hmu9Xncb2FarVX38+LH2+33d3d3VZrOpq6urzqA2DnIKr6qX+GCHhmJsw24TGkG6LMIvzLTDiHvsmaPoeMIXMrTyu4cNJOtk90DVC3vIvd+DeTWA434/yyTg/b6X3yiHjgGYmFU0u2aQxSAka5ruHerjsIG3LDBbKFmXFlBPF4OvtZjkIfbWytZ1tYuHumM82LWe9H7W0x9khj2ky2RoftEvmUqjVTZl2gLmemusHUvtOeF56RAJvyOZ61FGSXEICsrr8+fP9enTp6qq+vHHH6uqejF4yTr4/6O8L2mFB6QO8Fpe9bJemVDyBqnctGWip6rP5lW9bLICgCbbaQbUzJzvg1Sq6h8bCgGCwQYQA1gRR4oBCHg0oDHL6Xy47LDP9FAZIgBYpO5mBKmnGc8Mz/D7nXFgKLSC561TUodbx3GfmUmHeSSD7nozNhzcACNLrnjvKbIX2jrN170viH6GkGJuYRgZhzCXqJvz7mfu4lZf/92Y11bYQLp/E7wy6bk33eUZo+lyEzAjBkz+3Y12Kgz+NlXN825bhh+kK9ogr9XJdk/7/haQo94ZhpD1M3j1s743Y3aSFcqPxn/bZWQXCyDRAf0es5Zbyx+jWUu3P8cwQb3Bv+cEH2cL2FM/L8r+yGBZE7x6nvJ366POOTvKKFX1asFm7qBQ7+/v67fffusYJpQ2KYHMro3yviXXfCTXuqp+eieDOkBnboapep3v1Ea+dQlA1eDVaacoF7DGfbn+omfsXWUj1HQ67Xn0OHyAjAO4vk1moFscuwko8sEJDj2wq9seSdrO8yY4so/QibCgBuguE9DvzVBcsz5FWqQS4vHPfR8Gtc6owDiwUc7glfmBV9lxuKnnWuAThpTxwGBizqGbh7BfC7yaoLL+/T369ZtWywSKBn/uDHeAwQgdZWBKObmxyaAvO9ksnQGTfzeDW/V6Nz/1NKhLN02C4iE3TloPLfCaYN+GAH8PMZp5nffTFoPXFkub4D/LxyKlj7C0DMbNjPvdiIGf28x4DM0n39OKUXIdDIz9Xu5NRpWPrKpegdc0nKperMFWPd/6e5RRPJeJw2NX9MPDQ7cjnDQ/VfVqPo/z6v2KwWsSDoh1Wq7NBiyZWxMQ4bAu65EWeG0B4Ew4n8yr2TnWXt/HoQKz2Utar7OzLydv4d5/eHhoMq9ghMwI5E1KfFtPT09d3OxkMuniLhO4G7zaGEgdZiKMNjqrkY9LNQMKWBxi0quqhwHsfUGvmRk2C01bqqoHSM/Pz7swiASv6HgTTdTBJFRVvcJNBuN4Zi8uLnogPj3nZuen05dUZYyJQwZpt72fg9/K7/ieXn04LaBjEERH2L1gy8mgw5bK4XDorJpE/m4gjfJGHv7mdwbCbgUsPa75WDSURwugGRD54zEQps2O0XXMa54DzITh3Y5XtYXJfUmvU1dPSpISt0AfY2FG2bsuAXTEvBKjw45P+i3dMO53FlEvBg6NSMPD//fH4p2kWHuO97GLhmeZQ148qXNVdbFT2+22ttttzyL3IpuuNYN/W5ujjFLVnsfMp6urq7q5uantdlv/83/+z/rll19qsVjUDz/8UMfjsYvXY87bCBwB7PsUe6vQef7PQDNzfAIAT6cv6Y04JpZjTqfTaa3X69rtdlVVXTwmcawGJByX6mNZl8tlTSaTXjYAdDv3eeMU6zd6gHRZfBcYdre3t3VxcVF//vOf63A41K+//lq//fZbXV9fd+myONAA3bJarbq43PV6XdPpl3RZNzc3tV6v67fffqvdbtfF185ms67t1JMNTdvtts7OXtJOOU+sY03Zs0PM7NnZl2NvYXmJ/zwev8SfTiaTms/nNZ/Pux3/aYyYOMFgQBfa2HCoxdPTU7cnhXRVxNVyDO5isaiPHz92xsBms+mx0+wfSQOJuQeovLq6qrOzsy6cAwPBISCLxaIzGJg/1pUee/fJdDrt0nAB9JnPf9ewATfUL8mwATNpQ8wrZdpF33Kdm3Hk+ayPWVqAE0DEQC7BncvKMAHKtuvesRm02y5AFhk+gqy72wwYa1nAfle6ixKU8t40ELL/XF+D2dZYpXWfjKXrU/U6XsbMqz+QIck6uP+8oNvAoH02NDCeqKNPZUnmtWVQ2ACiT3PejQBjlKr2IR3MH9iPzWZT9/f3VfXlzHWMq1aIzyjvV2wsp0cTMauVTJ9dyLBhmSLJbCrAzHoHEqbqxbA3KeC85i0vmbMV2HPJfZAkkAWAFwgGUsldXl52zCVkCeU5dpONRwBniA/IFhMwzmCTMbxmiK1nrGvBEjzv6z6kwaw3AL+FU7xWWH9X9WORc5e+ySznoSe/rjebEU7gMIYWHss5lrrXYYPMDZhUxhacQTusU2FeIc0AxRna93tY16pvZF6rXm8myt/pfO71QFkSHHwNvPYqH4AwQwZwK2Q4gkGRwWsr5izd/llHTzbe6wGzm6IVK2k21ZM1+zgnOeXbBWSwXvVC+btvTekbaNNOFoQE+FwzQ8SkyzAGGwC/J2zAdWyFDbieQ2DdLhCz9Y5HYgFkAc152fo762dQO8ooLTG4wGjabre12Ww6hsagoWoEr6O86A7rRK77/7meV1VzE5VPvmLdZv2Dtcs4T9Y3u9DRlQav9hiwrpqISa+swatd/MfjsWOC2cG/3++7TByEF/CsyQiDX4Ai4JVNX8TXsqkIttF6AkbUfWQCxvq26uUIXTyE3A9QraruPd5EZ32JpE5JPAEecFiDGVnAI/3r9wJemQtuI3ouDSTjDcgqjzHv456ql0OoHG5B20yQ2XDAcEpjyqD+a/KHwKsLTUshWVgzoK0JziDacqTTKdcNT7BpcORJwSDS6dD1Diz2OcUoEX9gVfUKbDpswCCP9rittIlNGcSfpGVFf6Lk6CMDR1s5XhwA5pyuwsfsGBL63fEqdk1kHE1+aHyQLFgPDw+d+4LJmBa4Y1taMUQJ/hJ88pHipvHY0adV1TvRhEXFiwVuFMIMSI1Cyg7CBsw6816nNaFcf+wG06OMUtVfD620mWfr9br+8pe/1GazqT/96U+1Wq26Oe41Jb+LUd6X2OBPb1lVPzuPN+sA4HDZPzw89GJHibUmnODp6alWq1XN5/Oqqk4nAoodkwoAXiwWdX5+XpvNptu9TngBqZfOzs669E2EbQEsCS+YTqd1fX1dHz58qMlkUr/++ms9Pz/Xzc1NXV5e1u3tbf3yyy9deIFDIWgndT8ej3V7e1tPT0+1WCzqxx9/rMfHx/r8+XPd3d3Vcrmsjx8/dscyO/QAsOwUXGz48ka1BM8ZX8sGM9JAnZ2d1d3dXYcxyKLAt24izBjC3lfmAowlINxhGuhZxvZw+JI67PHxsS4vL7sTxzCcq/qnhpnJrup7j3kv2AW8MZ1OOzacAyIWi0VnRGAIVPU3rvI7DDUp1TK8hTSpf7eY1/ygWmxr7yVS9Aa3LRBjyzPpdSsIynWZrpeBrWNamRy5cz6Z12RCzABnPbKtyfw5ZjZZajOLlJ/uBa4bSJsNxRoy5c49fvatsAEzuLbCvZjajWBDplV/x7wmg+B/t5h418kLuPuGPqW9yUbg/rFLoqqfw879w7vNfputTzAxgtdR3hIbwbj0drtdp+RaZ4yP7OsoXhc9L1LSW9giEtj/kEwhgNRMoeMMzTiy7qNjYMtMkKB3POdzn4vDEHD7A4oAYmyuenx87DGvuXafTi9hDFXVpdsymH54eKjdbtcxkIAi7gVU2VsJmWOWNJlXEx0mbAD4BnbeR0I/pkFi8i89f8Yrdvm7LyaTSW8finPA0r/MBdrDWLQ84cxB3ktb6SfKYMz5m7Gl32hbGvUGtB4TiDITRl+Tbw4baDV46N4huycGKwAAIABJREFUNsHgNOMvWuDVFoufb7mlATH5oeUkaoGrfLfflfXmd3f2UJxHbsjwxDVLauBo4JbX7MrPRcTt9bN8cAma3WcJEg3qDMQzlAE2NkMtWhOxtSjbCLGly2JKn1KvjFml3Oyfqn7YQMbuuP0ZtuF2erxGkDHKkHhOOi7RcXikCjLLMM6pUVqgpmX0V/Wz2zg8zkwha12C18y3ar1TVa/AK4ADVtcgNNdax4Nab1T1Y0Fhd0mAT32enp5qs9l0DDAgzN8K4AegiJ41eCVhvw8+8j4Ix/xaZ/o9GbrncAJvzEYPA8Do4+m0vxk7wWtL3/jd6Rk0UMwQCtoNePVpWrm5mncnmeY5liGJ/p1yAf3MAYdBeZ5Snr1MDrsA/Ccx9pb84bABPgYDOyqbbBzXPVDp4ndl6SzeZfCA+5gPkwlkC8DvwvrDdYwlMp1Ou4ntDADJmFIG4Msgknc7BIK+cDJn3CZMarN49AWT0uB1KGyA/iGODuuSoHSofdfDwfie/AaYtJk+swXl3z0GzAVPcK7Z1Y8B4Y/RjIHnC/c4FskLQFV1AelY7g74phze6x2eV1dXdTqdulgof5BmG1jcq142edGHdulg9Y8ySsuL5G+Yubder+v29rbm83l9+PChLi8vuzlqJm3IqzXKP7Z4/FthAwazZrBms1nnDgesHY/Hzl2Mm3Y+n9fT01Ot1+vabre1WCzq+vq623UPA8acdUzpdDp9lUe1qrpd94SwASxx6cNAwkhCSMzn8y6TwC+//FL39/ddmMDT01P9+uuvNZvN6uPHj122gN1u15W3WCy6d3OC1HQ6rY8fP9bZ2Vmt1+v69OlTnZ2ddRkHYHTJOICbmnA0mF67+K3PW6moCP1BD19fX9d8Pu/VabVa1el06h3Tau/iEIHFPeAXwhpgq+nv5XLZnXx1e3tbm82mJpNJN7YYA9Tbp7gZw1AX69qq6vAFz3izFePN2DqmmLULHIU+hy1eLpfdfNztdl07wE5fk2+KebULPn8foqFbrEKLwcwP1YCvZYX6+UT7WJQGo1XVmxxpUSST22Jbk5WljtxnwOlNTmb63GZAJNda7W2Vb+YVMOV4GTOJyU773fztZywGeWZr3W9pEdq4yPI8Tv6tZfmla8JhEQ5x8HM59l4YzAxnX1Afs2Z+Z6vfRhklxXMFgAFzxK7fNC5z7o/yPiV1RF6zGOzmxqqq6oEFdATAwCcu5QbZqr5nywY7QDVzyELGeCNXVT90zgwv+zzOz887UApAPp1O3TG2JmbQpxAx3tsA2HEdKdP7I2D5AKaOM+VbdV+8xZJa55GykjbRx9TJfZEe1ZanL4m8qupILph270tJFpr35thaV6fn2GOfBlR6Pj2W1rcOg8o5nbrVoQ6Aes+brxnuf1gDM8gJ5IZAaMrQPS3gm412pxqsthpJh5pe9/NQ619jAyk/ASvSAoOtSegYSwBqi21JoOlJnuUbHCdr7BAAt7/VJv42eG2BW+qbri3uM4POApbj5cmbzGf2qeueLnzabDbf4DVdWbzL1ma+k7ZnFgWPiT/wUUYZEn8vVtx5YhFzPA3m1lozyj++pI7I9db3VL3Wc8ytqpfjWBO8kjppNpv14iXTfW49U9XPwe0d9vbEUT/rI4dpsb7C7p6fn3csYlXVcrmsqurAKx423tvKfgBQBOyaMa6q3mlTrjvfIMC4qno6JYFb6qME6Hh37fGlDTCPGbKWeAi9ZeBsncm40A50IZ5db5IDDB6Px65/cv9Nkkf2+Bp3OaMB7Te4Tf1qTGOy023zRn6Yb4ehfFfwSmOHYk+HmFfucWdl2EA+SwP5ty2WVrlDzGtS/XSMN3H5mZw8fJh+l/89BF6Z6Jkqi3vNYieb6fYkaEuWcwi85mYjt4/yaAfv/RrT7ftdJ8rmmgF7stIuh772b8k243412+wPLFkr2kjZvNsbBmwZZhtpkxcnt3NkXkf5PeK1zEYcrIjDbzLecJT3K8m8Wge05ge/owsMHDNFkhnZh4eHHnjlfgMlg1LYTsLKOGbWbFnuL6l6vWnZeg9WNcMQptNpd1CAU12ZeXUcL8wroW/OVmMADFCint4rYvBKmxNzWDcnG4mRAMsLiKSPDNxNZrU8fe4j30ObDYSTeaUvEry2Dj7K+cQalCy58YvBuwm4nCvWr4njKDM9BNSX8fju4JWX8MG0lLzZA8CpB8KdmBPDIIgBZtLaJWKriE70x87EdCwOAeL+eOl0MyRYZmb33BbE7bSr3IOy3+97HxoTgAEzQ2lQS/vdB7acoNvZvWzL0u9zbrxkO3PiUrYBJfUZmkiOk5lMJj2XlOOcPLauS8bd8F5/7FjUlMUHy8klpMNirJgXuCP4UGxRtyxeLwpVLzGvvsZzjNkooyBpBNlwskJlbWFzid1tdikiI6h9H2LQly7bFiOHPgDAOY0U1xzrSLzk4+Njrdfrms2+nFS1XC5rOp12cbNVL6kIJ5NJN2dZc0kP9fT01J0qVVXd84A47yZ3rCXu/OVyWavVqu7u7uqvf/1rPT091Z///Oe6vLys+/v72u/3XXz41dVVt9Y/Pj724nj3+33d39/X09NTXV5edmno7u7u6vn5uSuDd7Pv4fLysndSFmC56iX1F22xJ48xADA+Pz93p0ctl8u6vr6u7XbbpfCCYeaUKowAGx3W7bCquaGMWGID/qenpy5F1/n5ed3f3/fSZflkSRsgAMmqF68kgN3pMDlAggwpnMTGHHVIiY0Dr2P8G9wD1mDT6m63q/V63cUMw1ybFW7JN4UN2Gpw5ZKGzg+zqk2T5/WuctN+2IAXdYPkfG+CSg++r7levM9sXguwZvtcR8ozS+gFKJlPtyn7IV1GWT6Tj116BvEsgmnZDfW3GUt+y74ZGie7GqhnWpfuz3yn6+zyXHfK91hjoJgtSDbU/dj6LcfL42KG29d4bgSvo7Sk9Z3Y6+Lv3kbryLyOUtU+YSvXZUvL0G/FseJaZj32plRv9k2iA+LEc5Zy2bxj13ummAIUmak0OQBLaTDMNR9okGEDJqgAyE4RhQsdvELCfse9GoBmCkVjhByTllc0N3I9P78cbw4oTd1o/WdCL/vMegyPDQAXBjmNBfdFVb06eCHFpFlmNah6McCtf2k74z2Eraxf0xsKWcjGdhsE3xW8Apha4NUuYCrecjknkGqBlnRztz6ABFgtUGz3PR8wkwELM+ltu5szTKHVngTPySZnDCp94MD1LLcFrHKCm0VsuWRaYQNuq9+T7TFw9gRqsbauFwtYxrwOGQr5WwssJ8injV4QclNX1q01dq354g+YOroOfjbZsVFGsfgb8ZrQMo6Yi0PfwijvR9ITyVxgrUvSBh0BKIM5a7mLTWgAXvGQ4aVLFjDBK/lbfXhBurLtVmd9pg2Uh1v76uqqnp6eOhYR8OrNjYQ2WG8C5ByDa9YXhhnckOypNzrDgHo/j/dLJAljfGI8YSMB8OpUmQ4vSCyQut0hC9brTnlmwM04AAQBzc6YY2yQc6yqfZoX7eIdJgMpo6ofBuh+pJ/cDp6xgeOxtjHx5rfyRz4sBsln6dKhZspy8TVz5nuyUVTWjAUdn0Ha3lTDsy2gaEuE00cci2rmE3DbOqWKAWoxllX9oHZbLRkwz/uxLL3jsQXY/OF4IrAAObmzwysYI0+CZFcTqJllTmbUk9dtpe+dU45Tvxymwcdpq8v1S2ODie2FxvXB7dra1UndWiEJ9AHvZf7S77ZQk1Hw+PPbKKO0JBmVZEyqXtgM7jfgHQHs+xTHUVoHAVCTDayqDszA9AEAD4dD5w5nvfR1dOJqtepOO3KsqcMGAGFkA9jtdrXb7Wo+n3eud/IYm+2EAbV+5R24iff7ff322291f39ff/rTn+rm5qaen5/r9va2ZrNZXV9fd6dUofOqqgtjOB6Ptdlsuk1eHz9+rPPz89rv97Xdbuvs7KxWq1Wnb8huAKu7WCxqv9934Qxmc4/HY+90TO+xAOSdTqeu3ZeXl/Xx48d6enqq29vbLjyDFFC73a4mky+potDZyQRTHnp8Mpl0oXGkyyIEgSNwHUJxd3fXhTFcX193YwOTjSFg3Q+285G6s9msNptNh/kWi0Uv3rnqBatRzyQGbQTxW4ulvr+/r+l02p2c5qwJQ/I3hQ2g0F25IaYrWVY6zZZmitk/AxyuoRiq2jvTfR3AY7CcoQYtN0mGDQyFPWQZ3Gta3WEJ/NdyP6fVTTsoh/ZTz9ZOQN/3R9lHj00+35r0gNu0Gg28WyCSvkimM9mFDBuwZZ8LeosVzjFqGVoum2cyVMGSYQijvG95C2imByfDkqqGT7sZ5X0JxkxVexNwEileuzJmserFXWxvXNXLZt/pdNq55QGGZl5zjfUOccCQiZIMMTBj6Z3y6AwS+AN8AWFV1dtw5dykSVK5PtwP0WKga9c92CWZTNruMIzUA8m8VvUzDlBXp/DyeFT1Dy+xDqQ93k9k8srgE2bZe1wgxvxerpsBz/lV9YKVTBJC5JnkcX0pp8WuWrcmMcfvnk9VL3loHYIyJH9ztoEWoKzqu30NIIbAXwsgZsxhusMz9iKZC6QFXpOSdicbbKV7uMWOZLvTReiB8vvNML4FkP3enGgej3Q/fK1fWi7yXDD9Dj7yBIt26/PRc79BtctPptV1c3k5Fi4jF1Y+/AQBBuU5xlXVY7+45rGnjS1XyCijIF8zQltG7dD1Ud6neI3LOZLXkASvzgDg3d8Zy2iwRcJ9b6jxGpyhWYA9xyn6+ap6BV5ZM/1umEaYz6urq5rP5x3ja/CaQM/P242ex6XiKXPdHctpd7gJsYyDTebVOsL6nDjTVrqsDMtAXwIsvS+H/qbPMAAMRp1hwqCWjAMwqNazDjH0nEsPtw2SyWTSAXAbKNaH7iPPTc/RlkcKTyjjROzudw0bYEAd48JgeZIyqAYRtpLs8s+PzODDoMyUtweTCZl0NML7np+fezngsoPt2sOiYVIkK2eAx+BkXA/32O3u4+92u12vTgnwDUopp9Unz8/Pr9zzrcDnnGj0uT9irvEeT15cLMTU8MzpdOpcDbzPp5VgvTFW9AsfoeOSHKdllypjbyuXNlIfL2Q57wDVLNS4UYizSZbCzGsCbGTcsDVKS1pAFKXt7y7Z/ar+ZtAWEB7lH19McHgtZm00GEXPcD/pmRaLRS2Xyw4Aep2z7t7tdp2rdrVadRun2M0PI2sG0adU4pIn4wBgDRbNp3SxZlMeYQir1aomk0nd39/X58+f68OHD/XTTz/V+fl5/fWvf63Hx8cutMGhcrTb8a1s+lqtVp2b/v7+vg6HQ3fMLP1kYLxYLOpwOHQ6mewJuNENhpOoMptMKILbdHt7W8/Pz70MEBgYnITm9FZkhEDH8m5CQgiVoL4+Apfrm82m1ut1PT8/14cPH7rrznvL/DKz7JC/5XJZl5eX3WlsVdVlLkDn2ihPb68JKTBb1evMKmAE2nd1ddXNReo7JN98wlZVvWInk1L3c0Ou2RarmWWA5nmXXSgGjxk2wHscrJy/IS0rirJarHGrb8wOWuindBUMMa9DfWCjwBMk4+YM9JJN9P9bzGta++kGysnnOZEujwTyFrPW7h/Gyy4Z1zFZVM+5DETPtnoMbO36uQwl8Bi26j/KKG9JC5AOMa8p4/x6f2I96Wustdad/r2qf+Ki9yCkyxmPWpIdJkRYf80OUoafhzTI56te71Bnrc0wBINp0kFBMHgPB203c2eCATLGye4dg2uCxgYkABsixYyxWegkr1x/95FZVt4PwWQsQt8wbmaIfV+SUGabk3mtegHdyUJ7DKv6niHG1LG3kEve3EfdeC+4IT1I6em0HvbvHn/Gibjs7xo2wMsNIBOkpHu15bJO16wbk5aNAW9Vn0lzxxuIZUyHmUxbAKlYElC5jlk36kL5AKEEsJ4gjiFiMtrS9jOuE9eyLi02lnol0LN4HDIEAOCYG6QcNpAbtjwn3BfpNvKC67CErIMXT8Yqx4f7M6ygZZTwDHUyePV8aYW9tEC9/z/KKF8TG8ZV/QV8ZFhHQQBkJgWq+nqytUbxb4NXg1R7Oq2rfdAALKABUca8un54yBK8sq6i27y2Wlcb4OKdg0VcLBZdLlODV3RNkmQGjwavMMS5sRwdg15zLKfDBNCPSQZZTNrYGEDHeHNaxp4meGUsGDfKyud8qITHyuAcIA7bXvUSb2u9nh5fxwLj2YQVpl0evwSwlJP4LHGLwav1fnoZ3pI/DF6ZwMmYGVTQEAOJdI+1wJjBpn9LgOL3+/lkXqkP9TB49XXqa+Y12T6Dc1+nHMpogXZbmQy+LY0WeP0aE/sWa+rJ0ortRdxnrUXGLDQfv8Gr3aB8xEw62poAOvvbfZ3MbbbBfU4ZadjwjuybHANnG/BuXnsEhqxJlzvKKL9HhkCq17kRuI7SWnMMXpN0sXjtJYwr41WtbxzfCjg08+p10eEKBq9V1QEd3p9rbVX/5EcDautE3O7z+bxzlfs4ZdqYuCKZV8dsAl6pJ/caUzirEc/bQ5oe2zQq+M1xm+gYds07fZn7t+oFhAJekxRKT6Hr6w1gQ+DVx9NyL31pDOcxdYgjWRdaIS0tney5m/fYAMnxBzgT3vHdN2wBXumkZNgMGvjYbLHxHNdsfVB+Aqpk8zyYdAy7DateTnvgGf7tTURpxfo356vzh9MCN9SPiWYQD3jzhLi6uuosMmJFmdTu55wI/O2Fwx8lixHvNfOarOFbfUZ8FG4D54xbLBa9WBQHcNN/lMEC0mJe7ZLiQ6O84/HYJSzOWF6/A/GkdyA69zN2tIt0MbvdrovbcSLnnKtmtVtjP8ooLWl5AGx457ro7zWNapc5yj+utEiblp50PCEynb7EXV5cXNRqtep2be92u44582auzWbTxbeuVquqqu7kJgAtG7nsUmedJjXV5eVlLZfL7l3Ejrb2PXhHPLGfl5eX9fj4WHd3dzWdTuvjx4/18ePHLtXUZDLp4i1pv93qXuPZb0HMJim0ptNpl9ILHYPugxVFt8FWolNhP+3dZLzsrif9GPGnz8/PdXd3V5vNpq6vr2uxWHQgfTL5cmoVfZMnllkPcqoZcbA+KQ1d3DpBbbfbdaeYzWazrn6O0zUxdTqduvIWi0WtVqva7XZ1d3dXDw8PXXzw8Xis3W7X88gizEnAeNULQDUZRj9y+hjzibGmn96Sb2JejaINlNKVbSBhen3oGuW3wJsBWMu1bxaxxX56YXD9u46QAjG1ndffUioGNf63AT2Wp89itlWXCi8tGLO0vk4f0caMa+E31z1jVwz4aTMTnA84wwZoX7oGsg5D45Dsr90HTiztsXCfDLHe7gvaiiFydvaSkNueA7+Hvh9i00fmdZQ/Km+xr605lt/rKP/4kkx8rkGpY/0c67dd+Rj3XpPNFLIGOkY2wwxYk5OlY73ETW+PIiwioM+ElRlkM5CQGM5lCmAza5oYwaTOUMzm8Xjs2phGgJlWH21a9aI3HNvaMkqtK3k/AJRNX94YDPCl3smUVvXJQdpmD3KGhLi85+eXbBBOZZYkW+I1k1k+KcykFnVLPe8+ybCEJNNaBJP7hb5/S75JA3sQs2JDLlx/gAaZQ+D1LSbCAMZl+uPK9w4pirxu68DlVbXDHVy/VDJ2mZg5tNvC4NXlJThOwGdwnQxrK6RhaAyTKXeb7dZn4vqDaYUatABwgnL3d7oQ+IBa7vwWKHd5rUXf7aiqHnhNN0wy1FnPnCsjEzbK1+QtY3fI/TvOq/cpLd3pa17nE9Ryv8FoggKDVzxv6VJPV7TBK+slZRgM2TuZuWUhbH4PeAX0+gAaSLLEA/SNf8sNTIA4QLbXeoPBdF37vtRlFvdp6hSDV8fhuk0Z8uA6+jATb+pymGYaGi7v8fGxzs7OXp1a1SKObGSASwCvrZPKMoykNZeTdKM/ve7R98zHvxt4TbDoYGYzV1QKSyYnjmNtGGQ6wjGWvNPxH+l64wNmkjIQVdUbWMrinX5XXvduxKEB8wfjMiiXCTybzTqXCR/l4XDonY7heB73hfs5GWB//J7IZl4T1BqgMw4+/QTgaIaS1CTT6ZfTVR4eHnppRijH1in1zVhoT2Z+8+JCrMt2u62Li4taLpc1nU57MTcZXI8kO8HcJHTBrhrCBrjmmCBbxDDOaYQMLWSjjNISM6hpVPqbbAHcUd6PoPC9bmYImuNPvY/EDB4ucpL94y7Gm8U6TYjA8Xjsdvi3wgzQC5nOiWuky2KtznRb5+fnPQBUVV3IGmvydDrt4kPn83l9+PChOy0KRpI2+j/0am6aury87E5qWq/X9fT01G0EQ+84EwHpsawTAN1VLxuLwAWMF7pyOp32Tu66vr6u2ezLCVV3d3e1WCx618yyPj8/13a7re1227X97OysNptNHY/Hurq6qtPp1G1g8wa5/X7fzQXGlnud9urq6qoXKkfb3F+TyaTT962TwqqqO7GLsAv6qqpP/pitHwobgA0n/RqhE2Ci737ClhffRN4GmQYSBp7J9iV4NShNF7HrYFBGfQyO/N5W/XmG/7fAoYG4J64tiRbzmtZyxmwCNA1Ks60tFnHIIm/1a7LA7kO7RJJ5tSuFyWZDwxagy3G5ybRnPazMbZzw4dn1YxdVsuDJ8Pp9adV7EWKRztjqbEf2u+ebQfkoo7TkLQDaWtNGed8y5HWres28pp412VH1sonKDKmJDfSZdZNTKlEPM5AJ5EyseH+Drzu9ktfL9Lg5ZAEwaXd66sghT6P7Bl0Lw8zab/LLbaL/rONTH3tMEPrUIReAQTY8wWQC/EyuVL0QSUMMbdXLwRLoQY+Vx5XrmQ0C5pX5YhY/02DNZl/y9x+PL6efAXLNUtN39k4mqce8s3fXnmPvNTIm+pp+/Wbwmq6LZKI8QWxNDk0Qyspyh8CrJ5Gt1GTgql67t4dczwavrlOymAkk/RH5vZluioGyG4ayDRRb/WyA5nq3jIkWcE2mh7LzfQnkzTY7ZYf7tVW/fFded/9lzKuPHWRRo39zp6THLdubDC9teCt213Mswavn7Sij/BFpsatD0gK9I7j9xxevW0NeMwOO1nwyGHEC/5ahD8CxB9W6qapPYmSomwFMhh14R30SECaI/CxAczqddsDJx5OmXn+L2AG0UR+8aK10Wa5nElTWWfRPSoJXvJJcIwVYHqMLa1tVPRbbG8iMERgD1yWvGYP4HS2dZ4Bpg4QxMBtt8AoOyOwFLaxmI8tYz7imFXbxezybf1gLU4E8Rq6qz+TRIAYKSruqejsPSUjLBAX50+B0DxvZG2zkIFa9pHBiwhrA+INiYqcFSMf7VC+upTXkCWEXDa6UtGY4jSTTmjiuxeVTZ0/YqnoVQ1vVB4dMIANbfqOd+TG0JjztORwOrwLgEwQyTp4zvpYfGXUnbGC323U7Gwm7yE1cfOwOW0mrz2ED/viurq66D9ILSMY7JXvg8f89luEo70uGAObQImzlO2R0/p7yR/nHEK9byV4ZTHlNNvlR9ZLJ5/Lysttdjxt/MnmJhQVEEb42m33JJsNaaUYV3UTOUsqAlTudTl14ACFxuM9xCxMmQFscG0sGGNznVVXL5bKqvoQ87Ha7bl1O9pZ+MKDGnU0WGcIjWPu9sx5dtlgsens6EugmmGW8ql4OfyBrwPPzcy2Xy7q4uKjHx8e6v7+vs7Oz7rQrMgFMJpMu3IJd/efn5/Xhw4daLBa1Xq87jIAe9MlbaZh4gxxpuqqqy37w+PjYhYQ4HOT5+bnbUHY8HrvsDB8+fKjpdFrr9bo+f/5cj4+P9fHjx+7ELsYKHJBYLRn4ZLzBNcwnQh1o33cFrwkcW8xri61yfA4fH4NuEMC/zW7xd0qyr0O/2dq0Wzjd9G6HrULqSV2SveW632uAy6DyXoPmvC/ZRL/TzHULpLqfzHa2+nDoeo5fMuGuu8co2+eyLMki+DrGTNVLWitbrzYkeGeLATa773HyvRk2kOEO/tvsrfuC940yylsyAtBR/oi0GFXmUOoEr9MI6zNEiRktyuA5u9Sr+uxpMq9297ZiTCF/DK5ZO7nX67/1iPcVeH8IhFOGqbkMBJ1OH/h+u9D9rmR/TT5l25MNdF1op+OROdkKogrDgdypZFbgvWyMgnUGDAPEk+m2XjNmSJwFEQYwNe7w8x4/xsDhCz7O3myxCUx7UT1nqH/OX+MK91/VSxjHW/JNYQNZSSQXaluOVJDKMwAGrABMd64/1HzHEHBNIG3w4Q+ee9JV7rCB1vUWuKvqnxBlGj9d71V9pph3ePA8OR0H4jobnCVYbLE4yfC0DIME8wmKc0xzkuZH3mKVWixT9h/WLP2SjDeWO32cTKhdEswr6my2mvdm23lHhh60FrJRRvmj0jLuRhnFuq7q7XRZLfDK/ayfxDo69Mq6tQVevTZ6rUMXWZc7LtObfr2JN72D2Q4DStZYe0EByC0MkB5Fr/Umixz/yX32sObG3Ko+eHX/WowH0F3JTjuPOWwsAJEYUjaQwRiT+9auefdhhiS2AGJL5+VmP7P9aUA4zGG329XT01PHknvs6eckNakH88h9lkTgkOf5Lflm8Gpw1wJDLeaQAbalQKcmq8uEdNCvO8MypAjyA7dF1gKCvi9d7bYWzc6lRenyHEeSrF4rVqUFhFtAMevsSZOLmfvCY+h+y2dafVHVPw42DQw/x7U0cBLQ5qLgQHC7/N1/zmiQzGi+y4aHjQIvBPlMjm2OD2M2yigt+V5zYwS270+8rvsakjpniHll7QOQ+TAa1jKHiRm8GtCwvibh4t3jBkPO8pPptgymTA742clk0ovzNNuY/dLCAwav7h/KoN3OKkSdAPrUn/IcKtB6P78ZJB8Oh155ZpPNvMLQMhZDDC1gnrrxdzLYBq/GDoD2BK+eL+4XsvsQ6vn09NRlAgBY0y6PVYLXNLxy/lrfJnM9hGMs3xTzyiAl8DGItFsBSwSgakuEXGz4N/dQAAAgAElEQVR0oK07Bgsm00DKHeGJbaDJc6a/q6pHkZvZ5ENLl7InCu/PdFvZN3bbELNZVb3TnOzKwE3gOExbcmkVe1JShyG2M9nTVqhBKkv3I20z8PYH5PpkfCh9xXOUxeT2pOc+AtxJocJHPJ2+BJFzuojjYBlv3kX/sCjy0RJf5Z221MELVmY9YCFpMQCjjIIMLbpfW4xHo2gUh6tV9ckRr7dpjPt+9M9isairq6vabrddSiXiIgFbrKOHw6E7lYrrrIesod4Rz8lZ2+22Hh4euvdNpy/pstC9xC9641RVfz8MpykSn3t2dtZlHCBFFM+ZmTP4sv627sd1X1Vd3CugnvRcHIwwnU67/nCqMPdvVT9jD6QKAHS/39d8Pq/5fF6z2ax2u10dDoeaz+e1Wq1qv9/X/f19PT4+dvGth8Oh7u/v63g81mq1qo8fP9Zut6v7+/t6fn7u6T0OPWDjFHrJ+hf95ewN1O/p6am3j4f0VOhbTtQiVvbh4aE+ffpUd3d33elnZ2dndX9/3409Y2xA6/nsecqc9h4Tp/4CJH+Nff2mbdPJNnItkbYtOLNjbpDdvWZHEVuAGWLgycSESgXAO+z2bcXHwLC1QLLfBSgyMMw4DzOqBuTUx8/le/PjSJrfdfM7W/R8jtlb19O6TFe6JQ2ItH5b7ozWO4beaWuc/mPcMpzCLICZ8mRRzRani8N9kXOX8aGMZABGGWWUUb6XsM7579SrqZ/MDpqVzU23Jpusi80WmuGzx80sX4ZSodu8cQfmFUCV3kHELuskehxD63CD9MR6rU+CZyhszHqZOji1mD2sJuU8DvYeWi8BtCGvnFmI43bZxO087zCeGAfEwRrwm+gbCsP02CbuoH6eN4wppB7hCoDe4/HYbcLDGMlcr8nOm6BChjzW1snuK8+TlnxT2EAyeUP3mbpuBfUmePW/3dmeuC3w2qqLmbScwBk24NgLv4My7ULvOi5ArdtssG0gx3PZDiZOsriuX8bf+ENMQOsxcB/lRBoCtL8HnHkhpGy3OdtCm71w5iLk/uPj9GLtj8SbAsyMu212SeSY/h7AT93t+kpQPMoof4uM7P0oXxMTGukub3k+zdQCXr25xmtwxn3apZ7g1cDEIQlmObnPXi3r1Qw3c2gCesPgNdd/xDq8BeSHwKvfBftn8Jpew2T/cixSr1Cmy/M1mGAfBuDDfgCqHGZE5ofMNkQbTBAmVrHR436wHk7dCnPeytgAeOVAC+6rqlchfokNGDuD/hZ4tYH0NRzyTeDV8Zppmfg+W1t2VXiyYwFlZzp4mIGv6p+pm5ZPWqxMSue7M+ijvLfCBjLW1PEwtkbpC8IGptNpL+DZuzJ5hweewHpfs6tlaCcooDdZxASJ/o2+9BjlYui+bVlRdt14whIegnujqm9B5+Rtub0y1ZiBKh8TqcbswqLfzUQwL3KRdb0TgHsRynFMAD7KKH+rjAB2FMQkhImKBIIOG2B9ZU018Li6uqqHh4fOdW3mEV1Oyqj5fN5bS50S0W5xGLnz8/Pa7XbdKV2r1apLi8XpUOfn571QOdb2VojdxcXFq1O/rCutNxK8sXZbb+IOR0dar3D0qfXIfD6vy8vLLo1i1QuATgbceoX6UFeHUdAfhLitVqs6HA61Xq9rs9nUarXqTtQiLdjFxUXd3NzU8Xis+/v72m63dXV11RkiPsxgMpn0mGJwAnPJJ5w6TCBPPEW3Xl5e1nq9rvV6XdPptH744YeaTCZ1e3tbv/32Wy2Xy7q5uanFYlH39/e1Xq/rdDp1aS05lMFkZdULHjGWSNxQ9RIWgSH1lvwh8NpCzck+WgxerfBtJWQD/S4DqyEk779b7haD2rRQWs+nNdViWLOOLUZvyI0xZD0DTM3aco8tyKxbsorux6zfW0rS/ZDtdV3cb0PtwHIHZDMJ03rOcWu5GLJP7Z5wED4LcQJLGxXJftsLwL1D8zT73v08yii/V8Y5M8rvldRzQ/rXsYRe751HPTfXmCwyqMxNxkkwZEic9w44l7vDFLz+e01Nrycg04Aw20s7rSPRrblWp/vZ+shEmj14Q2EW7t+q4c1hJmkMwCClEqQB7ulLp8viuaenp1fZEKxrW+2nvg7VMHObep5nZ7NZFwd9PB57ccC73a7bi4KhkTnfM2yA8pmrqV89r5MM/Lswr56ECSj9Qk84M5jpjmhZm5RjQNdqcAtkcl+GDSTI8n2+7gEfYi9bgIu//d6k9luALMErHzN1oy5Zj6xvjlMLdLf6K10fQ2OR4LM1CVkEnFswPxqz9W+B11ysW+CVRY/xTSOGsmxAcK0F5vPDz/mTH+Ioo3xPGefUKEPrtvXW0PppwGJA6L0nBj6syxn3yTUDn6p+fKXB6+Fw6IFXH/Vp8JrxkLmhx678zMnqNr6lwwF0+f5kq6v6WX9gIx320AKDBnq+luDL4NV5XSeT/uY3b75yuizfZ4Y998owtrTf86FlMLT2clRVt3EKEF1VHftNxgGz7rCsMOyOW02jamh+W69n/2XIRso3gde0ShLMWloWQSuvnBvkWE6HDUDT86EZkNqNwH8OQj+dTq925VW1U1ZltgG3sQVefC0ZQVtUvs4gn079UIIcOH/IrkdVOw2JxynHxiAzY5HchgSbvs9jmQYFFiNhA5yWcXFxUafT6ZVbn8B2uzS8MKX7g4/6dPrivvLHz9wwwKVvfUyg+5t+c38ZMHvxY0Efwesof28Z59X7lCRfWH+r2nmrMa4THLKmEZ/ok7RYy0x8sFaz6x9ggs5iUxFgCpb16uqqO1Xq6emplstlzefzqqouqT0uYdZP68CqFyxgVz6MntMy0SbaSKgddTKrSru8E342m/WAlnfH7/f7TnfRX+x6d5+jE9AhkDRuQ1X1+oj40O12W4fDoct0QCaBy8vLLuPA8/Nz54a/vr6us7Oz2u/3tdlsuv5BT06n/SwQjhNOHWtCjD433qFN9AvZEB4eHuqnn36qxWJRu92ufv311zo/P6+bm5u6ubmpzWZTt7e39fDwUNfX173sEMxLk0Sew4xRHnLB81Wv441TvmnXSW7EsTU0RBUjZkSTLfUzdrcnME6w62fSWh0CaS0mk3KS3Wzdx73577R08npVP+MA72htCEra3x9QWn9piScz7TbkWCV4NWikfkPMZss1kXHDaTEmOPSCnP3qeeMPMJlXruWYeS61GHW73/z/Vn/aazCC11FGGeV7S+pErzOpK9OLxvrmdc4kkPUGz1X1Q7ByY5ABcnolk5gBYFVVj4hhN/1Q6JbrCuDKkDDrrgTyXtvTO1dVvwvwV1UPQCWRlOu/dXaSLq1+82Ys9vlk/HBV9VKaURZH+7oeWQePSzLSJvi47rll3U/YBNkQ5vN579jfyWTSpRUD5DP2JuWoX3pB87r1bOKir+nXb4p5TZYvqfOsVFYiQZHLMftV1Q8baLG8BjX5bg9mgs9kDV2fjCFxmW+J76EuXiBy8WiBdfez7xlyrSfbnM/73gRfCeqGjIRWfYeMDsaBBaiqD9b9wbTYBLfVYuBvi9JhA9m/LXdOulCGwGhrLG1B+vooo3xvGefW+xSvNaxN/G22zL/nhlcDOTYwGaAmcWSgZq+UdW2+N8EmbKg3YSfDx71+v3WtmUGICcessiY7nMv1tz6p6pMZgLKh8DPus35xmUiCd+vPBLkt8GqA6/hWWFvnmHW8clXfu0x9Dcp9LbGQf2uBV7cJRvrp6anbxHY8Hmu73VbVS65cQC4b42hDbmrPeiS+S6zl+fuWfHOe16o+KGmhfiqajCjyFqhN5tXslxuWA2OAwYTKj506tgBdttGdbDeO29ACPbSbd9udk5MoP+QE3Mm8uv/fAq9+h+vmd3r8PF45Hsm8uv9z4fDiVVWdNZvxTl6EALy0y+32eJgV8ALHGOVcYKFyPd1GX8uxbYHXEbiO8rfKOHdGGZIEHrkuJYnja6ypBrWsfQmekpQAaBrAOG7Urt5kStlUhCt/On3Z1V71esd+6pBkQwnxMvBFrEccNmcdZjLkdDr12M5kU82czmazLsQtyZeWvkiGOrEGusd7QKbTl9OuYFRhrCeTSReuQLgbQDJZaMbd72vNl5bHcQgDeEwBr7Csp9Op9vt9nU6nDrweDi+ZKpz9IMNKjf3cd9ybXtW/G3idTCa9OAUGlDhUW0PcA3ihQUNsKR1I8C9Wh2MPmWwGWDyDRWMLzZag3dKm0FsMqBcAWzdDE4B7MsyB/mB3IXXiw8mPizINeg3i7Obw4uR+wUJz++ibjDFh/DzBcGE4htTMKOPs+lFvFjCSGle9nCpG4DkLDh8pOxpJT8IC4v7IFGJ8XP7wW/Xlb28soJ4sUu5z5mIuhL6eTMEoo/xRGQHsKClJeDjRP+J1qrUeO28r8Z4AD9I1AbK8x8MbhWDanKLKyfSdWul4PHbpsubzeV1fX3cnGHo9J8QgQSnv4R2s48RNOt4WvQzWuLy87G0wYr0nxpVY0LOzLwcGcILl6XR65ZY/Ho+dLqqqLl2W983Qdr+f53GdG9DTdnbmow/n83kdj8dar9dVVbVcLrt0WZ8/f679fl/n5+e1XC7rdDrVdrvtQglgN01yQeQw5tZZ9JfbTD8m2cgYnE6n2mw2tdls6uPHj3Vzc1OTyZd0WY+Pj7VYLOrHH3+sp6enur29rfv7+1qtVrVarWo2m3WhDw7ps/Eym73kwHV6UGddQC+/JX84bMAfTXZQWih8WHaJZ3lpJeTEblkN3OdnWsxkVTWvp3VL3fycQS1/G7xyv0G4LaBsoyeRA6Xznlad0wrxNVP/dpsn4ErrtcW8thh16meG1wus70sL3cwrc8JlGUiyaFFOjlfWDUMhY7RyLrSAdjKvKTmHhn4bAcgoo4zyPaXlAfK11IO+VvXau5axnV4fk3mt6h/jaaKEtb2qny6LZyEiEsBZ31FmgnQTRfa4+prb7PejR01OJQ6BwLAOdgwv9UzdYUBo72gyhaT2Mjtq0skZDKr65NDpdHp1apUZWTOZBqbJ/pr8S3yTepvrzC3/ze8YBD66FwOBa6fTqcuTy9gn+ZdzM8ff4zaUGm1IvilsgIIzADiRfFXfKhwCBG6YJ4AnWwKoIQD5FhBLUNnqpFw4Wm6aFtCkLjkJDPjNRnsS+R08Y2CZ9UqGlmtDbn23d+jZBPx+t4Gvn80x9aS09eTYKC8OZut5pqo6t8pQf1OW3WCt+npuAKbdR34m3VMtsUHhPh5llFFG+R7SWpu8zrQM7wSidrs6TZTXX/9nosEgNYFlkhoum8MGWummhkK7kASdqacS/Nolz9qO/rMns+olv6p1kFlH2mgPLuCzxWYmSE422O1ETziMDgaUulFfwCtu+KrqPIpDm8cYe4+T5wJiAnAIvCb2cCov0mX52FiySviQB5jTFtHnunis6U97g1skYEu+OWyAycNEY/B8Ti8DQOoNM6Yuj0ZB8WO9QSmnpeP4HH5zqIFBDGg+rascxKoXK436eAB8MgVgnIltC8lMnq1DcqJxJBwAjY+bDyPBO3V0+/MD5l52L7bCBjIOlXa4PN5n9w3PMtZMMnYgtvrbqbJOp1PninHqkePx2H0cTh/CnHHcE4sh9T4cDl1fXl1d9VJxVdWr/iRswIDXCwjPJNufc8FGzAheRxlllO8tCZTS02VwObRp1YcOAIAeHx9rt9t16yHlOITLa7t1Htdh1kg5yd8PDw+13W7r/Py8rq+vO2Cz2Wzq+fm5CyXzGs17ql6YS66hy1irwQOAxIwVpc2U4xRbpMdCR7A7HqxyOp16IQe8i7AH0osR+uCTI0ldRTgCZaLvMRaoI5uxOC2L+NaLi4tarVZ1dXVV9/f3dXd3V4fDoa6vr7twB+JefeRsVT+HucmcNGZasb48b9LPG8zW63XN5/O6ubmp+Xxe+/2+1ut1nZ2ddaEEm82mPn/+XFdXV126LFhbcJnJOAN4nz72/Pzc6fKq6kI53pI/DF7NfKblkjGvAI+kklvspt2+zqtpq8Fgy8DCgC9d7S0XeLbFLvBsawIYu6ldr6E2pnXbKoN7zNq2mFMkmW5PYAP2tMjsOk/GMtlqT2jXz88OhUgYyLfAucMIWJx4pqp61lerzfxN2ECLiaC/GB/P0xa70WKTs39afTLKKKOM8r0kWdRc/5MxtS6uqh6ZYHKjRaxYz9j7xjNV/bXPHjJ7nwCPBppV1duvkh5Qv7/lik8w5ufzsAGDN4N5QBjXrCdbZFBV3yNpsoPnMwsBejBzuydDa2+h895634fjco/HYy+FViskwvPiLc926m2DV8pIzOQxBWxjVEwm/bhi4pOpL22lP60rjQkyLRnEl+fEW/LN2QYSvCbAdBwDzFlWJsHhEHhNwOFB8nvNjDEorqMHK4FKLhQJLM0uG6jamkn3O2UZvBIAjvWUfVD1OhuBy+K+1r2ZG899ZTCbbu+c+GkIZN/bFZLtNQh0rA5zwn1Pf3qBZc4wH6iPAaXdPxlvnPOLZ3JeGMx7IW0pjBwn/3uUUUYZ5XuJ16Jcq9Ootk71mu9QO+tFp67y+6qG86+nnjNpwb2wlIBXM5IJFNOdzrqfJJR1C+9NXW6PIGUYGFEH6m89Tj8mUDJ4NYD2uwzA6A+3067zHC/0v13mML4+taq1ASxZ+NS9aRRwzb+1iCjGOXW9N+axOc8edYyD/X7fAVqny/Lc9dy01xjW3znbPSfekm9iXs2g8TdAApoYhM45uHb/J0hgAnj3uGMsuCc3/tDpuO75kAx67KL2x8zkYRIabBkEm0mkfrg2mIi5u7Gqn+eVehHPYnrc7zB7nR8qdZ7N+idxweJy0gm7G/1RQdND59PmjDvhXflxpeWLe8e797sJNX1x0+P6ybABrEmyD+CScXYC70x12AATnrnhEIzMK8v9GXPkuWTA7LATf8ReXG3EjAB2lFFG+Z5i8iaNa363TuF3h7Ohh8yQoX8MsPjPrKBd01X16johYYT4sTaTwH6xWNRyuayzs7Nar9e9RPxmLv0e3OKTyaTLPEPMZVV1bnued9YeNg5xnTAFu+YdTodeOp1OvTo5nMGZBeyuJ5QRcOkwB58maV2LvpxMXuJISTXFc9PptJbLZa1Wq9rv93V3d1f7/b6ur69ruVzWZDLpQg6suywtosmEUxKD9pqa/GEunU6nLszk+vq6VqtVVVXd3t7W4XDowhweHx/r8+fPNZvNuvsmk0ntdrsOz9g77RNTnYJrt9t1/cIcY0yG5G8KG7DruxU2wGQwKDATlwyqB4cPLtkyW6BVrzMUUA7PpGVkAPsWK0mdkhlOayvjjVpsaYt59Wa3BEFpabueyS7benWqrBab6/FLC/trYQOuk5lX6p/hAxmgDvDzx+U4aZ7h/QncbTna0vZC37LUkkFoeQ3c5/6oXY9kW0fgOsooo3xvSV3WWgOHGEPWJOtN66t05aYb2XrG+sJl5bpvwAzwcWysQWHV6ww29rCeTqdXwD0Z2ao+e5vZFAzSAJEmNbJc69OW99hstd3cbj/EG307FKZGHR026AwEBr2ZNxfQl2ODJBNrQim9iUNzK5818eU8tLTh4uKiY2NPp1OPdTdZafbV5GJuJjSR5SN/h+SbwCsNTgY1gUnVy8agjMWp6k9kBpYJ6UmdZeegDX2E3syU7mHf26LOs11MRFurDPTQAuDFxvS4rbtsS4J0A7KWxW03CzsBW650Lwh+D+913VsuGve9wWvLnZ6LqMG9y8p4Iv+eY5bAlrnxFnj1AtkKG2DME5yne25oXowyyiijfC+xvvDaU9U3lhN0VfV36qd+SPBqHZPGvddC6pTxlkPgFaBjAGISy+twrs25s5920F7Hehp8tsBrEmCtvPT/v71zWW4jWbasA+ADgFiqUY/7/z+rxz05p0QCpEgCPWCv5MpNT6hU4rnXdC3crKzERGbGO3z7dg9P66UEcvbcWf+5Xj7Tw33p1neIgnEIQLhqng/feWMBr46PtV76O+RJ6nhfS7LJ93QYDuZ7iXWGCXfIiL3K/Oc+YU4A2M3Ge74uyU+D14wNQZmn1WIWcCkGxB3aWVkJXt3xtsKYRLmgvcg9ifxsti3BrH/D4vAidIdfYl5Z4A5MdpmzQQnmtXtXsqQGr16UHbvM35eYVwPCvJexdwaHfJ7+8ibhjdZzxEyCn083iNvh+eJ52PWX51r2Y87nJWs522kFM2TIkCGfJR15YH1g8iXBa9U8MX2CwSR7Oh3pvS33SPScwbHBq0P4AGFmVBP4co2yAb7e431v1TzW13o0vWZkpvGhLT9vBjT1jfd+97m9fu536yMfskqdB3hFb2c2h/P5PIVROMuBGeRkVS1JIPl6eh27Z5kfxl8Z2udsDVV9yi8zrPQn/WSDhnIyPKPDUik/rX2NmhOwGbwSw+JUWbYyeBcdCjPJyburq6tZugwvODqdCes0Hu4cLyLHvTDh7NY2uHRYg4EuQdROE+UJljGvTBTHHD09PdVut5viQOmDZK89wVjA1J00UefzeYppOh6P9fDwMAVX5+LDSnJakrTKGUcmkK1f9wnuDFvbee/5fJ6lBgPs2upkA+R3p/HKDdKb1evr62QBkoPOrhv6NDMRdIaXD7l5TtgCN5ORRsOQIUOGfIawt7D/4mY1oVL17r4H0JxOp5mLmRRPZkJhyAxoO/BqEiqBKbrOMaKkpHIaKFImHQ6H6etQ+/3+g06xa9/pknjn8XicGM78yhW6BN0BSPUXwbbbbT0/P9fhcJjSKqKHOL+CPvGBKPqRtqMv+VoZca/n87l2u930TnSJDy2ROcBADzC4Wr3FhhJK6C9qPTw81M3NTX358qVub2+nfKpmpzviyZLkjcfW5FJHPtmooB7X19f17du3WSzser2uh4eHenp6qu12W3/++Wdtt9sp3hk9yn+kbANLcR7q4eGh1ut17ff72u/3E2a7JL/EvNpV7kVRNWdEzWjZAloKG+jcEyzeBAzpgsBiS0rf8SLpDraVmX8jtkLMDC7FvFJPu72dEsLAsWMFXZ9psKKNVfOY1wwbSBYRIJwhFO4Ll+P+db34zRZtMvC2nG11+3meTabb8yrdHMm8uh8ttiCzfV3/+lrOOdfF/x4yZMiQzxR0Shrd3m+8pxlw+hkzr3ZR537uPS69cn6fy/B5hkzFBcCF3MB9bEIkQTL1tW70O6vqA7ZIHU8/WadTng+Y2Qv8I/2XjGyWT/sNBqmr9a/LMhHlNprJRJebibShQh0TdHoOdfNqyfPNmCfzylgByCEUbbgYuGNMONbYujKJMuYmY1T1brj9x8IGzCh2rGFVfQCLyXxlx7ujkgXj3R1g8CJwh1fNXeodg2uXAG3zRMtJkGApwxy8MA1e+XcX80q/XAJEXjzpZvFJxmQ2PWHtivFYdQugA5Sd5Z/vznvtSnE7zGZnPaib3Rw8698MjD12bos3DMTjwnPemLyBLxkRnudDhgwZ8hmS4Cn3LsTeKJMo1ptOU2jQZddxB2Dzd657n/Ren6mNADrX19dT2ADMYuogA2SDX5hPrlnHU588EO568m6DZfSuiZX0Alo/WUdln/A+QHniDtpldtMYwbp86SNMeK4dW5pkXqcbu7mydO1HjG0SgWRbMHh1XPF6vZ7SZdnTboyEh9SMerL7xP5+Kni1m5XJmCfvjK6N2LmGK4NJQOMAZI6ZsbuWSZegglADJjyds1qtZl/ZIA+dXTLuMBYgFoTbXDXP0eZ2U7avJVvKb8fjcUqVhQvDG40nZLLVDDRpJHALke4DF43TTRi050lJU/lsRt6Q7KKhPkxsNgFofccW0Z9VNdXT9amaW6YJXs1Ue6HbpXE6naYcglh6bkOyAskquHzG2x4C31c13xQ9roN9HTJkyGcJexg6BR2FDkTMWPocBXrI6Zw2m7dPea5Wq8k1X/VOUBhUZcgUe1x+gYoYRcK20El84/7u7q72+309Pj7Ww8NDff/+vXa73exrX+h6XPHo6Nvb2ynE4PHxcToMBKPrdFVV8xhZdCk6zyfknUbSuKFjpc3+GpTag0j/ostpA/gmQxzMPFe9M4wwmavVW5qx9Xo9pb2sqtput7Xb7aYyrWNNzllvJaHINZNNVR/ZduZgenjX6/XUTnDG+Xyuu7u7iWHH7U+6rOPxWIfDYcamgxMOh8MsRRihB4R23N3dTWEul+QfxbwmAEAMLJOFW6LQzby64wzeLrGuBjxcMwijzsm8cj2Z1nQZuyze6bpnXyS7zLsASukaSUa6EwM3M8muDxtZAjFb8x4H1zvBa4YNMLaI64FBkC4s9y8bYWd85LvztyWQSH2zDV64OVYuI5nXS3XqmNcBXIcMGfKZwj5jFvUSO8aeBxC0Z84gLk/Vm4jId/G3SYX0MnaALgkrg9xLLKdZYYe9OaaXe32GwcyyXfze65d0I8+bzbVHMvVBh2VSl/NO+il1YGIKyvA4JflXNf8Qg8M1Uken57YDpd21bm5ZDHjNsp7P51nMsD8Z7Lho94cBsc/smLmHvMQYuSS/FDZggNQNuBeBwUWCxXzG9LzBaQILA7GM02Cy8/cSeOV9ftb35CAn8LaFmkwpYpbPYQOdayQtbNrJJuRnqmpm4ZH0PxlHs5feiDojgnKXwKufg/r3huZ2eEPrxs99n9JZjvxNWQmMaUduNrlAc556E3M5fj7Hf8nQGDJkyJB/Kqnsc2+u+phtIEkUM7JVcxCX3q8OaFV91AG+7v3XMZ8+LAXLBkPLNQOVBK8wxYAix3kavJoldj07EsYMdTLNZpjdz0vgNXWdvXbZLvepdSBijJOGgNvH+zFSTLh1OMq6smsL15Z0Y4exmC8YRoBSgGpVzQ4IbrfbFrzyTthowGuGHvBO+mVJfjpsIL+K5FN6VM4hAIm4mchmVukkwEiXVsMuXQ88lHy6gllE0Pmut60vD4zdyEuspBdgVc2AaNL3THaHDXD63l/lYuAzVpX+tEW72Wxmrga7RkmjUMwAACAASURBVI7H43TK0mEMab2ZMTWoTcufdppNBUQzCXHPEKfDhrZarWaB3I6RXVo4nkNplHB/GgL0I3V3rAyLwCm9zDqwSeDSYIPw+CEAc+pJ/wwZMmTIZ4j1j0MArMSTsTQhQp5NPtlJ3CRueAMKhw1YP5uI4nfHObJPEs/KFzRxB1dV7ff7+uOPP+rp6anu7+/r8fGxbm9vpxADH/pxeMTxeKzNZlP7/b622+2k0zi1vt1upxAxshvYRY/+dYYAQDQn5B3CZkDs8IyOKTSBVPUeEndzczNlvCEskLqCKRy/ag9k1xcAVTItbTabSZ93X/eCzFrydF9igdMbbknwSizq09PThGMYp6qqb9++TWEkX79+nUIJCCWhvvTd4XCol5eX+vr16/SlrsPhUJvNZvpK16eGDZiZTIulc7MmAEirzu/juXTpmsHtXOC2vgw2V6vVLN+aJybixUr5HZObrGSWnUC3au6S4TfHJ9mSoR7pKkogx3NprVXNv1LhwP1krrtJTXlLlqclx456ZdiA++MS0OP9rueSFez7O+aV/2wtet51Y5J9gSyxwUtM8ZAhQ4b8iuR+5P0/2bTcz02U2K1dVTOSYsk97nIMXl0vgxwzrwZ0sG92/dojaJ1XVR/qjN7O1I5V88NZ+QUn6pn6xCmqKM9eQOOY9Jh6XHLvN0HXeUTTKKia6870FLsvDJjRr9ZXxjLggaUwgW4eZTs8r7q2U/esG+NUVRMIJ44Z0G7W2aRj93l3ZxyApLok/yjm1YDNCyvdt9kZuTgTGCF2i/hax9wZ3CIGLywghwN0oMagNBm/BFN+Ni2bJRDIZPeEh9m0i8CA2WVh9SUj3YFXT/aujukK8IJPhnIJ+HE/9TJrSd/lQvuRdCC1u+Z5Rhs8HzqXVL7rEnhdArKuE+8eMmTIkM8QdFVHDqV0BE8CQTxQ3VeLDF6TkPH7qUMCMHRZglcALWysM+wkm2ziibZXvXszHbvLdTPOxiL0X+IP32+vovsxsQb6y7/RL905GurlEMDMbOD3ulz0cQLxDH/oWGBfN5lGX+Q4JzbxvPsRuWRiKT26m81mGnvAK2RdZp2izRgfeKGravaZWe67JP+IeWVSUIDRfMc+JjhKYGhZ6kR3fgKxdC27jjngCXay7gneOuZ1aUJ2k8PvYnInO9qBPlu53pw84ROgGeR6bBKcUYduUrseBsD+zaEGVfMvai0x2ZfYSoPSHIclFthstZ9xWzxPlsrvrPeOleh+GwzskCFDPkvSmDYwSUnwWjVnMR1XSLhZ1Zy8yH0sy+nAkQGdQWnVHLwCSKjHej3/9Kd1hUmmqmrBL4DQIWmdh80ERtU7i2d9YbBrnbsE4jwG1lEAM4PXPEjmeiWJY4KHdviZJRbX5S6Nz4+wTHdtSdf6N+qA4UL/mmXtxj4JT38ogvA+Mkv4K1uX5KfBKzEMTg9lVpNJzcRw57jRBpbutA4UMGEypZTZxgQ+6/X6Q1oPx6d6sZhptasl3eGuNzGnSzG6bgvvhSonNun6+nqK6zmfz1OcjIPBAbhYNKQQcRwsE+X79+91fX09Sx5c1bsjeNbW/ZJx4d8coE/MEXndvHn5HvrCsalp0HjBJ2Ob1qgXEf3P73nK1myGNw4zEY4Jpq4Wl8d8ZBMdMmTIkM+Q8/n9TEkCPcBTMooAvNVqNe39p9NpSjP1+vpa+/1+YsO4xjsMKpya0qwsZfgcC+EApGbcbDb17du3Sb/98ccfdT6fp9RKV1dXU7os0mrxvgQvpMs6nU51PB5nX+/ijAfxpfSV92jAEToVZpD0WOg9ew4z5hUxmWRGFTc3etSxxq+vr1O+U4C2dRLvpc/R02axzU66jfR7VU2617HMBuvJ4vs8iAF/EkxLRBB4z4fwwCQPDw91OBxqtVpNMauMPfrVYY+Hw6GOx2Pd3d3V169f6+rqqv71r39NqTWZx5fkH4UN+EBPsqxpCZp94/cEJD+StAy7jkdscXSALRnFBCwerM51nuzyUltcJ/6ddLs3DBaGrTEztlha/L3URurk+riOad13Y7DEKhrYZuhCAlXE7ozs42R9c2w65tPjbebVZfG8LXozBi7bDHdnraZ4Ux8yZMiQz5Lcq7r90eI9zECM9xjQLJ2I9/6JHsoyqj7mBLWO8mfYIYlg33yKHAADuEyvl88x+JPjPoCVLnoD+Y4QyS97cX/qGbevG5fEBSYzDMp8gM6E2iW2O5lZM8HW88nUMn42cFLX+50e26ybCTe3OevrOhvH+FCf8/RzWA0ATd+ZbMPAeHx8nOJmGf9L8ksHtpJuz0mQv3f0dA5qThZLxnXYvZ4A1kywF4XjXVxGB5zSbeN3euGlu9+SgNds4dXV1bTgqz5+Vs4TjAnAZM2F7wllS4t6u28zDOGSuD0dCM0+yfK4z/2Z49u5ZHKu5PUsP+dIlmfhd+5nPnvMcgyX3ChDhgwZ8hli8Oq9Pj1VVfVhz+NaMrLp3kUXdsCkAyxJDHhfzcwInIS3RxDwCckBeDUIc90MiP28wSteRfSmwRr/p4z08lbN3fDWX5dIk/RKGhegz/HkJVuautGSvyXJZCLGeCbvT4LOej6xmce407VuN9cNPI3DzFz7Awpm7P285w5MuD3KDjH5dPDqsIF0lTMBTYMzoB6UdGN3A+fOoZMzGJoJnAPOYJMeBBcFi4zBZmAo3yCl+8auJ5Bd8rY+aLc3BDOvpPYiZUeGDZia96L2JmH3PFZlWkOUZ6uHdufBrmTPlxhPxo5xZywIG3Cf+B22UNMKTcbYiyyNA7tCuG9pjrCRMx+zrbShC/rn9xQ/O8IGhgwZ8plyOp2mLw+lC7kzntFFBky41UlpxNetdrtdrdfr6UtW1sMOG0jyxd4/x6TiNr+6uqr9fl/X19f17du36UtLd3d3k656eHioqvevRb28vEypvLi+2bynjdxs3tJlZTuclurx8bE94AN2gJklrKHqLSyB+znhTl+iC2hzAlkDNnSFwdp2u63X19epXYRwoPN8oMlALtOX2atsr6xTfDqEg697+WAcZdposL4DO1hnmqGl/Azdc+gBRpGBJ1/U2u120+eB7+/va7V6zyBBG56enurh4aFub2/rzz//rC9fvtS///3vur+/r/X6/ctbl+RTwgYSyRt4uBOqPqYbSvaTa3mf7+0Y2q6hnaWQjK/F4LVzq3dWl1nozm3uv+1qwSLMZNJdnxmQM+F5r9toI6Krt/vxEqPpe9Oq7f7uLEJLWp2eM35XGhbUJV0WS/2b1qr7Icu6NB+XQHxX5pAhQ4Z8lvh0tvfm9DgtsaIZMwlp43ROyZx1nsP0NiXRRBlV77GXxJVyzexb1cevReVZEhNFPnTsr3TxDjOveWDLoCzJJbfbOizbTpvdfpM3vpaMd8aact3lmexzudadHvd8V3oM6U+f/8nwgo41TW/xErbq2Fu3sYvRheQz9nLdnCf+5uamNUguyT9OlZUDSMOTBu9AlTsogYoXqwezA6EGykgCvQwbsCvZ4K0DMAm2OvDqAcmwBr/LzyV4dUoT3uNDRktu9WSL3Y9LriHak2P4I3GfuZ9tkSUwzIVrdpN7Lxkqrrs3JJdLedkPOVZpiFBGzs1sQ/YBv6VBMGTIkCG/IjB0VXPA4f1yCWikSxxwkGmqzOblPubrXRmp39BRgGM+BgT4MLPI/u9Y1vSkcr1q/jEgZ+mhHYBEP0896SfrWgP31er9rAhtTJ3eGQypk4xt0G3Ul/EzuOy8ieCTJNcorwOKrquB+yUvIs91ZeVY8z73T4Y0ZlvMyDIncj57nDBKAK8wtbDjeBAuyT/6wpZdGm6kBw8rkEpmJxlgVX1MB2GwSTkdMDUL6fcbHC5Zgxm4bdCZ9DvX8oAUpyXX6/XU8cmgGkixmWy327q5uanj8VjH47Gqaso2gPvEky4BL/3g+uffOZkZw7zuRZsGhA0QA1Bvls7JxzXet16vJ5eJv2KVFrKfSyvY8wVGmrHsWAjG0mPgetOuDHnBIuwMJ89xb1ZDhgwZ8hlyPp+nrwqlrukICutG74uEyx0Oh+nrVrj20S159gJw1+lTs6Ls41Xvif+3223t9/s6Ho/1119/1cvLy/TlrdPpLWMAbmZc+E9PTx+yCJzP51kIHdmCyDhAuB0ZC3g+v9iJXiBczCF6XUwl+37H5HpszHamPoIpJJOCGUWuG2w7VCPDBoyNKCMNEDCVMxpk9oU8AAc767GvmodQGtSaBffXvBxLzX/Pz891OBxmYR/n83kKJSC80CGfx+OxVqu37AR//vln3d/fTxkH/vjjj+nQ35L8NHhN1s6SbKgHOJkyv5NrHfNqUNKFKGT5flfS8jnp0n1gq8f1XQqNSIuoc9ObKbTFshQ24NODjh3NPnU5ycImG55j1YH1S+PisU+rtHM58V5bZfS/+5P3dn3rurttyTAsuXqSrb3EvPp+90XOsWR2hwwZMuQzJUPCLEveIesjk0D5eW4YS8f6G7Ck7s1yXIZ1qwEMwBjAg+sY3eG0VgZtjudML2mymWb6uDfBpPUVbbeutS5NIi3Zz+wLkxoZL+prjm91PDHXaIdJlGRN+bffV1Uf9GBXrnFLkoC0357obk4h9D197GsmEn1gD9CeLC3vh5EnPphY6JeXlymW9pL8tAa2C7YTT5oEbB1V3YGNZFgpF/kRyPKzCV7TQusWKf/OiZK0voEoVpSBpCeP+y/Ba8b5eBEmuE6Q7Hd2bvkEZfzutiwxr12/dmDaC8UGAb9n4mazn7mY3LdZfwNRM6vu4zRoXO9ckN24d2C6A7DZp0OGDBnyq5KHg6uWs+90OtMgA5YM72AyqAY6SfQgubcmUUJdyTfq/K0+OOyzHi4LoAsABbyaHfXBbA7+JGOZepIyqt69qPbUdp6z1KtLuoQykszgmsvIg1HWkdb1nbfPfc5YMRaMYXoYE1D62ap5vGyWlVjBxkriKb+Dsmwc+BBd1stGCUz0fxl4TatwiUlzp5oNRXJy0KgEQnl/WgwJKIzybSnYQlvK/clES2slAZ/L9UGqtH4TWBq8Yq1eOrDlPuvq24GtjD+9ZDB0kuAxn8kxpk5ZL373Qsu+6zaEvJabtMH/klHTbbi5yVs6a7urz6V+GzJkyJBfERMgXczrknRAxV84MoBbir9c2h9NWJj04W/A6+vr6yxdlsGrM9/wLsey+lCVXeiAHH8UiOtOoeX6JyhL1jl1Ofdaz2efck+ScIlVlphJM6wJ+nI8quaHll1uZqAwGEw2lvp5DJfY4iVm2XPRDKtBrfse4E4oBwx5GkpL4JW4aeJgL8kvhw3kIaiMVyU+wx1ApyatnYOclHiyujlh0xrcbN5zz1XNg8BJvUFcqwfYE48FlRsDA7XZbGZJdk+n0yy2lvgXJ1euqikehnieqpqlynp6eppZWy7fgJj2O10Hrhv6Ia1EgzMkgSjj2cXFdlZeFwzPv7HGvfDsrvFYe/EzDl6gJD0mpoq22qCxeI753R3gZoPLTSHZiDQihgwZMuQz5Onp6YMr3eRQ1RyUGQgABIkVJH3R1dX7163QfejkzERg8EzZ/rdjHdGBpMt6fn6uv/76a/qq0t3dXa3Xb+m5iI9F751Op+l0OSmwrq6u6nA41NPT06RXV6vVFB+7Xr/FkbodfNEr03Lawwc4en5+nnRRR4wZdyRZUlUt6KMMxgsdhU4GhFFf+os6ux2r1TysAnE7wBE2Enw4ysQYAH+9nufN9XPGEFXz8xwmnRg3QkNeXl4mFhy9SRq20+lUd3d3k352fC7Y6HQ6TfPi5uamvn79WqfTqf7666+6v7+vu7u7uru7u7hW/lHgXloingDJUtoi6JjLjk219XeJjfN7uE7Zdk90dDrAM90Ns85ZYF49mavegbIH28H2HetsMOuwhmxvR+27H1yGrUtvOh6rJXbS4s2yuyfZSfrChoWNHMdGJWjsmM4sv7MafTAh29pJZ4l2jGq6cLp7XNchQ4YM+SwxUWJSqKr3+Hj/TYIFIsPMK3uogVjGsKZep5wkr3I/Pp/PE3NWNXcdd17JPDy0Xq9nn2n18/k5dt6ZejxJL+pL2wH5JsyqlrFL9kXqUI+N+zEZS95voi2Z16qPh8Wy7GRy/UyenfG1LjY2dWu2z+AdjGPGPDEV43Q+nz+EqVTNiaiqeTgJ4BpDhfRrl+SnmdcUK3L/nq4F7utcx36XgUvS8125vMt/2zoy0+bJxaJZ2iBc3wRm2S6fAkwW0ZkXDIYMeDPQ2oCfezuXvMdks5mnIfGkW2Jeu7FMkJfgmd/c5x4jv4N/pzXfAWG7S9J48RzzZuk+96ZtSWCcc65btJ6vyXpkvYcMGTLkMyT1ypKuXAKz7JuZVcdsXNU7aKh6BzVLbuaqPkWj7zd4hZmrqjbO1sQO4QD2THZnQJwFAb1JOxIQe+92/axXU7+4j3mfwXoH5Hl3R/TkGJrIctjbEnjtgLMNkwSvxjrUPw0S45b0ylLnxF1uh0MvcizpW6c/80eeSJ/melGm9flq9Z414dPBaw5Q11A62QvFC4jJ7PuTKfWk7CYJ5RrwJGhaotex7p6enmYd3HbO/y/D1qCtGuckIwQAtwqpKY7H4wfLl8G9vr7+kBvPC5v7mDTub/5jEl9fX9dut6vn5+cp6NkLPcGox9KWvic89yeYNpNqCy8ZA/5tN4rnip9LC85t9BwjDOPLly+13W7reDzONkCkszDTCuQ+j7X7GQu/M7Ko+5AhQ4Z8hhiooa+q5mAo7+eaASmpoUhftFqtpi9NsS8+PT1VVU0ubBMpCXbSi2q9Qnjbbrer1WpVDw8PdX9/X6+vr3V3dzfpQULqHA5AWimu3d7ezr44ud/vp3qRTpKT6YAiwv/sOnfIBeQRoRSAI/RRhkT4eva7gbuf457Mbcs1Z11wuMbNzc2MrU7G0uDV+OPq6mpq+/l8nlJsAioJV1iv5+k7HUqAzs20WgbI9LHnD2NJuEeGbIC3vnz5Urvdrs7nt/RnjL1DNWnDarWaxpp0a7e3t58fNuAFlIynAU9S5flsglFASrJ6lJP3+v8GIEtAzMxchg34HdnWBFuevEnT+6SkJz/3mOVNl3pVH2jtvuwYU64zObG20+JcAujduHbWv59fYjA79trvu8S8eixdVs4v+pxNwYZFzs2US9eSac355/p0gH7IkCFDflUuGdgpuUexdzmu0J8wdQxtd6jI78gwrI7oqPpIPjjjgD9pmh5GkwkGZXY9OyYzT/D7nak3rf/dl0mOoVuTfEv8Ys+d+yLHxu/yvUnCud/RI1kn6yF7bP27+97l8u6OPWXMXAezzMmsZ0wvY5apy2iHyTQfwrPR47mU2TUgFh1KsCS/zLy68RnrQQV9zQNhUJuTyA3qwFLnGvCk8uTtXP4O7Kae/r/L6MBr1ceBzfhaBoeyXZbf3cUE5+RNQIdwX8YCJRudgOzS2CYQ7cBmumt8fy62ZOl9v+dA9rVZU54zK4EFaqu0ax9j4TYs9YOZ1m7u5UY2ZMiQIZ8hHQlU9dGg78T6Nw8PVc3TNiVYgnzJmFfvkZe8dAZQHEAyeGXfdogBxI1DBBw2cDqdPnxNiz7xIaPUtwZq1jXWPRnehxi8dcQF/WAdYP3g5/I8DO9P4OjrbrPLtr5J0Es7Eqj6EJ4JNbfTuKQD4TmnHJbojBKuj9sB+HSuV/o8sQ/6HCb6PwJe7fZP1G8mEneBmTEH/bIY6UTHchhsUk43iQwivdjoVJC8Fw0LjK9vYMV5gzBzyIKyNcji8xc+bm9vp9NzgCsodgbHAeh2S1+KVfECZhK6z2nf7e1tffnypb5//16Hw2Filr15JJjl/501bQMi70/3Cn2Xmy5j4sDsqo+p1VyONyqetyGAW+ju7q52u10dDofpSx3+HrI3KPrAc4l3ZzgI7fBcTfCaG+qQIUOG/KqwP9qln6DEYiDFPafTafo61el0mnQU7nZAiT8mgBfLXjuDmo4oYu8nRI33Pz8/17dv3+rx8bH2+/0UTvD4+DgBacIaqF/Vmydtu93Wy8vbl8Gen5+njDIAGtg7gyLiIx0zia7fbDYfviZGG63/wR0Gg9ZHBqvGKtYpVXNWGMAG6ONd/jqm24G7nbGoqpnONghlrDj1j/u+qmbZBRyWWFXT+HcZBxyvmmEh4BDCAB4fH+vx8XGWTYH+o7zdblf7/b6urq7q4eFhCi/hfsaKcBLG//X1te7v72u1WtWXL18ur5efWVxV81ys/L1kbdgysbWWkpZcgsi0cPhtyTrys2aDO8TfsYFpcZqi93s8oQxETdF3OdHcd14A7gdbkSwuW1+02+9iEhks5ngtMY4+7NT1hfs4mdFubCxZ76Xf7A5JAEy5Bv5sTmltu54ec8uSIkjmYclw+jtsyJAhQ4b8Xel0Vu5B3R5aNT8XYpY1GdYkG+yxopwEyrkfUlfvl5AqgCpSIPmzoj7HYVezmT2IJQC39SjtT8LMe396bZMMo3/N2LouJojoV49NjoF1wBK7ueSdTobTrvUMHfA4JMlkBjkxGEC9ap5H3n3iOpvwMcZhnlBG5t3ledeJ+F0fwvP9ZsGZn+fzeRbqckn+UdhALiZ3iCuYbohcjAmSErRdAqeuD/834Ml6Jeto6/ISSIF9S6vs74DXXBC2pC3ZB7lQDN64xt8sBqxPwKvbnEDYm5Db6nJyoSRTS18sjU9ufr52aTy78c/2wrIS8+qFlG2g311uzgfKyA0jww187wCvQ4YM+Uwxy5aMp0HMkrA3+yCSiYzuOqCEQ0WAn9RDKSab/P6qmjGbPhBkj509grlPU7fMkNABSwM+rlE/6+6q+vBcB3o7YOn+9Thd8gYvhSuirxPUAtiNEzwWHaGUYRNuf3q5HV4ALqGfaAv/JUGXBwi5xtwxS20Qbvabceb+Dsybkf2PgNeuobYYGawMD7gERnOAff8SqPT/lyYYdTLQpowOzJkldntPp9NskWHp5MbQLZScJJ1F1fVTuiMusbPck66fBK+dJHDm2hLgzDK9wLtnLjHafqZjxbNO3qxyYVTVjEFIEJp9nkyCy3d9XX/P9wwnGDJkyJBfEfZrEx5LOpD7LYABAwEzj3lYJlk6A50Er7lfW0+hD+wyf35+noXYAXgMXqvqA3hF1/rQT1Wfx7YDoclspifXOqYjuTqiy+23/vXvVR+Z18QY3O/xsH5O5tVt5p2pg9LTm65/h7f5AJz7KWOI3Z/JvNLHDn8wOdSBV7Pubp+ZV97PnDA5tiS/FPPK31SEWB3SXmBNJGOZFgXvgWLOOBMDBU+qJcvQrgUvXi8ELAdPFOqF8HsGoTvm1akkiPmACa2qqT1XV1ezFCYGtWkI2AXQWZAeZGJSbm9vZ6mynJ4Myy4tVC+8zn2yxLwy8dO14HFJcJ3jjSyBV/eFQfn379/r6urtiy7b7bYeHh7q8fFxGoO0fIkH8iZGXWw9d/Oli3ntNsUhQ4YM+VVZr99iFYl/9B5kndkJey3g0LqGAzC3t7czUIK+dhqkjHnl3Vl2uqVXq7d0WVVvKSQfHh7q5uam9vv99KUl9NJ2u53SO+FS3mzevgx2Pr/HVFIv2DgzgAZRTvdldvfm5mbS3efzedIPXKO/iQ/O+FhALW23rjDoNBbh2cxX6/AH63GAI/G7jJ2xkPGAgfnpdPrQfsLorq+va7vdzlJnEgtNeeAyM6qOK766uqrj8ThLh0a9DofDNHcYN8bj6elppqOPx2MdDod6fX2dsCHzmrm+2Wymr6w5lvnievkba2omHYVta2O1eg+W7qyeS+/t3t2xrpfe4/s7Ji3vZYNIltCgyhaCQZWtGkCiLZ+q97gUFh2TLoFy1pv7OiBoC8jXnG2AiWlw7LHKcpcYxa7POkMi3+t70/r0e9OS70ChWXSHYGRMj2N/2MgN/l1n9yv1S4bWFm/2xWBdhwwZ8plisiT3nDS8LdZZyW6lN9DeqUw/ZQBsprEriz0zE9MbHCYIzBADk0bJvL28vExhBybMrEuSQTV+SNKHfjFBU/XRbW7gvuRh69z0XO/0WBoC3XUYZ+aAwxCX+t8srkmVbD8GickrM54O//M1M7eQVVxD5zrcI9lrM6+ZLitxFfPQoPwSzqv6SfC6RJXTkWlR5AAajGbFkr7vwNBSHewO8N/c14GtXITJEvo3FgATwODRG4NZy3Tt54TwgLk9OaGph8G1fzc7a7dLMqfpCkpXVP7mawna7L7w/QlW3fZu3H5kVHhRdmOQweDZd97IPbYJTnk2jYRuDhr0DhkyZMhnCTrCeiX3oI4AQKwfzOplLs2qmukJg9fO67ZU107vA6B86t/xtI5ltb6n7bDCzpaTIDzz1aaeMGnhNrn9PwqZsC7JPk4A3eEh3mWPKnW2LupCIDLzDf3d6aYE4elpZpwdhmFvqfudvjJWQb9al+ac4nmPMe/A65nng1x/7s+DfJ8KXunEtDYYAKfCIHWUG+nBNuL3hHHYgC0iP2M63wNpsIR4UqTL3J1mC8OTls2EtjABoOid6mG1Wk2uB1uMhBY4nAJ3f1ottIc2Uh9PGKfF8Kf47CbwQuDZtChdnscnGWbEG0FVzfK+JTj1huP3LAFWb4a8z4woGyIWOW6x4/E4+9IZfeUTq7e3tx/GNkFoZ2mmsdOxsUOGDBnyGbJer6c93J/UtC5AUsdVzQ8i89XH0+k0feEIIInOOR6Pk07b7XbTHgshkoRT1hWwhM7D7Uu6K9pDSB0poa6vr2u/30+glvAFf6GKVEy4qmHvDHKoL+1F36LrHA5AO/0lLvQvbu8MTTCxZP0GAAMEdmQL7LOBNM/baHBbCDlEl/srWgnE81AXbcMTSZ+cTqdZGAZj5NRlBsuOjyXcA5c/KUGZUxgifL2sap6JYLvdTqGMh8Nh+ioXc3O1Wk2hJFVvIQjgFXT6xfXyt1ZVs2B8zW5dd4ZZyKT1k41LcHmpDn6P65WW04/q/3cYWVskbgsTOdSKOgAABQFJREFUzpS62VhPWP52OIWDsXODsCvDG5PdQrQ3LaXOgkz3As92DOsSA931W3e/25RA+NLYLo0rdXaf0VY2tbSi6XPfm+4X+jnno1nkbHPe8yPLcMiQIUN+RsxSsn8t7Yvd/pMkT9X8UJSvO77VuUj/DutV9X7+hWcAYwBB7sksApAqS6F2BqA+3GWXeMcUps40IANodbop9WnVPMtP6oQkexLPWA/neFA/eySTwU7sYE+065B4yswr9aDfYbKX8rpiIJlldV7cxDSeO5mCLcNUeK/Z9KUYYGes+BFB9NPMay4g/k1HU2msjw4gIgloTPvzO/cnXd69pwMVCdKyLcnwWvxbB17teulc+abGDTAT9FKX7Fv3g9vixUyf835vfJ113rnH3a9ecF7A7rPst2S7PXYJXt2+TlwvW7I5Bp5juTm7HXYfZZ9kfV1+WttL7MOQIUOGfIbkHm59U/XjFIP+v9nBzD5jUOuDvVXvYCkBst+fhrxjXpPB61hHg1fqke3PVEwJ7tK9nIDPZJj1UJ4XoQz3uUmT7HfrFN6TxFP2SxJh1rvUx32PMWFdnmA130cZafjw3gSvxiDZVrfR4B82O+cJfcHzrnN+lctjarLPRBNz4tPBqwGqLQ0WiV0WpMzwRMqKJvXtid8xXV2so61GT76sc76LuuTk5XczrM4awMC+vLzU8XicpQXBXeDF6SwMuAOg3TklaIuMRWZwyoB6kyD8YLVaTacmHRxdVbNNKUGf7/HkzwntvvOCtAXXsQO2yGkjv6UYLPI+LwynWqGvN5vN9EUPxtGWG2UTd5PgtZtbBsnuPxso2bdDhgwZ8hmy3W6rqman8K0fquYeqRT2M8Kl1uv19MUqwAc67Hg8TiFt+/1+Khedfck4Z2+GZSWLAC7k/PpkVU26kXaSccBfAUPvPT4+TliC5wm1s5eRulqPkieUMARnqeGaAbLDFeiPjMtFHGqYWQUMoqlbZjWiH6xDwC+EN2w2m9put3U+nyf9ho42OWZ9ZcCLPnQ6ycPhUJvN24l+Qjr9JU76zxkHyEBxOBym8djtdrVer2dfE6X/mKP5jvP5PYMEZRH2R/gC408YBe+/JD8dNpBMKtcNQrs0E2nF2LIzS5Z0O5J0+awRDWu4JLaSktlMhs3gOd0D1NtWiS0fJhPAi37xp9TSss7NyfWlbmZeM6bU70kQ3/3t8sxYZr3ShZIg1Mxr/ttANPs3GdtuXKmbLTTqxhiYVc65YHfNJeYi+9zjbWvU9R7M65AhQz5Tch/m727/RKwbEBMVDgUA+AHq8utLvneJZLAedJgaLmGAoJlNkx+00/oxXfjWmRlf6j3d7TJRQx+YRHGfZF0MDHk2sYbbnmF6jBHPmoxyGdYtXHc5yRonTjCL7Pahn/g9MYljeY1Bsg+SUTUIr6rZJ+4B5ukdsL406E42nvmWKcU8ZpdkdUmhf7h5tfq/VfV//vYDQ4b8z5f/fT6f/9d/dyU6Get1yJAPMtbrkCG/jyyu158Cr0OGDBkyZMiQIUOG/HfK8HsOGTJkyJAhQ4YM+W1kgNchQ4YMGTJkyJAhv40M8DpkyJAhQ4YMGTLkt5EBXocMGTJkyJAhQ4b8NjLA65AhQ4YMGTJkyJDfRgZ4HTJkyJAhQ4YMGfLbyACvQ4YMGTJkyJAhQ34bGeB1yJAhQ4YMGTJkyG8jA7wOGTJkyJAhQ4YM+W3k/wG7bFbZrrt4DwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x533.952 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x533.952 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# images of convolutions with differents angles\n",
    "N_theta = 360\n",
    "theta0 = np.pi/2\n",
    "theta_0 = np.linspace(0., np.pi, 10)\n",
    "\n",
    "for i, theta0_ in enumerate(theta_0) :\n",
    "    env_in = envelope_radial(im) * envelope_orientation(im)\n",
    "    env_V1 = envelope_radial(im) * envelope_orientation(im, theta_0=theta0_)\n",
    "    R = convolve(texture(env_in), impulse(env_V1))\n",
    "    fig, ax = plt.subplots(1, 3, figsize=figsize)\n",
    "    for i, (f, label) in enumerate(zip([texture(env_in), impulse(env_V1), R], [u'Texture', u'Gabor', u'convolution'])):\n",
    "        ax[i].matshow(f, cmap=plt.cm.gray)\n",
    "        ax[i].set_title(label)\n",
    "        ax[i].set_xticks([])\n",
    "        ax[i].set_yticks([])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Back to top](#SLIP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Whitening"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:13.964410Z",
     "start_time": "2018-06-19T07:17:13.941488Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on method whitening_filt in module SLIP.SLIP:\n",
      "\n",
      "whitening_filt(recompute=False, f_0=None) method of SLIP.SLIP.Image instance\n",
      "    Returns the envelope of the whitening filter.\n",
      "    \n",
      "    if we chose one based on structural assumptions (``struct=True``)\n",
      "        then we return a 1/f spectrum based on the assumption that the structure of images\n",
      "        is self-similar and thus that the Fourier spectrum scales a priori in 1/f.\n",
      "    \n",
      "    elif we chose to learn,\n",
      "        returns theaverage correlation filter in FT space.\n",
      "    \n",
      "        Computes the average power spectrum = FT of cross-correlation, the mean decorrelation\n",
      "        is given for instance by (Attick, 92).\n",
      "    \n",
      "    else\n",
      "        we return the parametrization based on Olshausen, 1996\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(im.whitening_filt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Testing the whitening strategy.\n",
    "\n",
    "Generates 2 figures:\n",
    "\n",
    "* one which compares Olshausen's formulation and the actual statistical measure\n",
    "* one which shows the actual effect of whitening\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:13.992370Z",
     "start_time": "2018-06-19T07:17:13.967297Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "fig_width = 16\n",
    "figsize=(fig_width, .618*fig_width)\n",
    "fopts = {'fontsize':18}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:20.038717Z",
     "start_time": "2018-06-19T07:17:13.994899Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "👾 Learning the whitening filter\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x384 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from SLIP import Image\n",
    "im = Image('default_param.py')\n",
    "\n",
    "im.pe.white_n_learning = 100\n",
    "K = im.whitening_filt(recompute=True)\n",
    "f_bins, theta_bins, K_rot = im.hist_radial_frequency(K)\n",
    "im.pe.white_n_learning = 0\n",
    "K_ols = im.whitening_filt()\n",
    "f_bins, theta_bins, K_ols_rot = im.hist_radial_frequency(K_ols)\n",
    "\n",
    "fig = plt.figure(figsize=(fig_width, fig_width/3))\n",
    "bord = 0.03\n",
    "a = plt.axes([bord, bord, 1/3.-bord,  1-bord])\n",
    "f_bins_m = .5*(f_bins[:-1]+f_bins[1:])\n",
    "a.semilogy(f_bins_m, 1/K_rot.mean(axis=1),c='b', label='stat')\n",
    "a.semilogy(f_bins_m, 1/K_ols_rot.mean(axis=1), c='k', ls='--', label='ols')\n",
    "a.set_xlabel('radial frequency')\n",
    "a.set_ylabel('energy')\n",
    "a.set_title('mean spectrum')\n",
    "a.legend(loc=\"upper right\")\n",
    "\n",
    "a = plt.axes([1/3.+bord, bord, 1/3.-2*bord , 1. -2*bord])\n",
    "a.matshow(np.log(K))\n",
    "a.axis('off')\n",
    "\n",
    "a = plt.axes([2/3.+bord, bord, 1/3.-bord, 1-bord])\n",
    "a.semilogy(f_bins_m, K_rot.mean(axis=1),c='b', label='stat')\n",
    "a.semilogy(f_bins_m, K_ols_rot.mean(axis=1), c='k', ls='--', label='ols')\n",
    "a.set_xlabel('radial frequency')\n",
    "a.set_ylabel('energy')\n",
    "a.set_title('decorrelation filter')\n",
    "_ = a.legend(loc=\"lower right\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:38.531594Z",
     "start_time": "2018-06-19T07:17:20.040844Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-18-e15f1b40aba2>:8: DeprecationWarning: `np.str` is a deprecated alias for the builtin `str`. Use `str` by itself, which is identical in behavior, to silence this warning. If you specifically wanted the numpy scalar type, use `np.str_` here.\n",
      "  image = im.imread('https://github.com/bicv/SLIP/raw/master/database/lena' + np.str(size) + '.png')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Testing that whitening effectively works... \n",
      "Figure whitening\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x711.936 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-18-e15f1b40aba2>:8: DeprecationWarning: `np.str` is a deprecated alias for the builtin `str`. Use `str` by itself, which is identical in behavior, to silence this warning. If you specifically wanted the numpy scalar type, use `np.str_` here.\n",
      "  image = im.imread('https://github.com/bicv/SLIP/raw/master/database/lena' + np.str(size) + '.png')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Testing that whitening effectively works... \n",
      "Figure whitening\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x711.936 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-18-e15f1b40aba2>:8: DeprecationWarning: `np.str` is a deprecated alias for the builtin `str`. Use `str` by itself, which is identical in behavior, to silence this warning. If you specifically wanted the numpy scalar type, use `np.str_` here.\n",
      "  image = im.imread('https://github.com/bicv/SLIP/raw/master/database/lena' + np.str(size) + '.png')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Testing that whitening effectively works... \n",
      "Figure whitening\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x711.936 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from SLIP import Image\n",
    "im = Image('default_param.py')\n",
    "\n",
    "im.pe.white_n_learning = 100\n",
    "for size in [64, 128, 256]:\n",
    "    im = Image('default_param.py')\n",
    "    im.pe.white_n_learning = 100\n",
    "    image = im.imread('https://github.com/bicv/SLIP/raw/master/database/lena' + np.str(size) + '.png')\n",
    "    print(' Testing that whitening effectively works... ')\n",
    "    xcorr, xcorr_white = np.zeros((im.pe.N_X, im.pe.N_Y)), np.zeros((im.pe.N_X, im.pe.N_Y))\n",
    "    for i_learning in range(im.pe.white_n_learning):\n",
    "        image_patch, filename, croparea = im.patch(im.pe.white_name_database, verbose=False)\n",
    "        xcorr += im.power_spectrum(image_patch)/im.pe.white_n_learning\n",
    "        image_patch = im.whitening(image_patch)\n",
    "        xcorr_white += im.power_spectrum(image_patch)/im.pe.white_n_learning\n",
    "\n",
    "    middle = np.ceil(K.shape[0]/2)\n",
    "    print('Figure whitening')\n",
    "    fig = plt.figure(figsize=(fig_width, .618*fig_width))\n",
    "    bord = .03\n",
    "    # top left\n",
    "    a = plt.axes([0,  1/2., 1/3., 1/2.])\n",
    "    a.matshow(image, cmap=plt.gray())\n",
    "    a.set_ylabel('image')\n",
    "    a.axis('off')\n",
    "    # top right\n",
    "    a = plt.axes([2/3., 1/2., 1/3., 1/2.])\n",
    "    white = im.whitening(image)\n",
    "    a.matshow(white, cmap=plt.gray())\n",
    "    a.set_ylabel('whitened image')\n",
    "    a.axis('off')\n",
    "    # middle\n",
    "    a = plt.axes([1/3.+bord, .25, 1/3.-2*bord , 1/2.])\n",
    "    impulse = np.zeros(image.shape)#(25,25))\n",
    "    impulse[24,24] = 1\n",
    "    K = im.whitening(impulse)[:49,:49]\n",
    "    middle = int(np.ceil(K.shape[0]/2))\n",
    "    K_middle = .5 * (K[middle,:] + K[middle+1,:])\n",
    "    a.plot([24,24],[np.min(K_middle), np.max(K_middle)], c='k')\n",
    "    a.plot([0, 49],[0,0], c='k')\n",
    "    a.plot(K_middle, c='b')\n",
    "    a.set_title('decorrelation filter')\n",
    "    a.axis('off')\n",
    "    # bottom left\n",
    "    a = plt.axes([0,  0, 1/3., 1/2.])\n",
    "    a.matshow(xcorr, cmap=plt.jet())#\n",
    "    a.axis('off')\n",
    "    #bottom right\n",
    "    a = plt.axes([2/3., 0, 1/3., 1/2.])\n",
    "    a.matshow(xcorr_white, cmap=plt.jet())\n",
    "    a.axis('off')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:43.241223Z",
     "start_time": "2018-06-19T07:17:38.533507Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    if (window.requirejs) {\n",
       "      require([], function() {\n",
       "        run_callbacks();\n",
       "      })\n",
       "    } else {\n",
       "      var skip = [];\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        if (skip.indexOf(url) >= 0) { on_load(); continue; }\n",
       "        var element = document.createElement('script');\n",
       "        element.onload = on_load;\n",
       "        element.onerror = on_error;\n",
       "        element.async = false;\n",
       "        element.src = url;\n",
       "        console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.head.appendChild(element);\n",
       "      }\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  var js_urls = [];\n",
       "  var css_urls = [];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      /* BEGIN bokeh.min.js */\n",
       "      /*!\n",
       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
       "       * All rights reserved.\n",
       "       * \n",
       "       * Redistribution and use in source and binary forms, with or without modification,\n",
       "       * are permitted provided that the following conditions are met:\n",
       "       * \n",
       "       * Redistributions of source code must retain the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer.\n",
       "       * \n",
       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer in the documentation\n",
       "       * and/or other materials provided with the distribution.\n",
       "       * \n",
       "       * Neither the name of Anaconda nor the names of any contributors\n",
       "       * may be used to endorse or promote products derived from this software\n",
       "       * without specific prior written permission.\n",
       "       * \n",
       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
       "      */\n",
       "      (function(root, factory) {\n",
       "        const bokeh = factory();\n",
       "        if (root.Bokeh === undefined) {\n",
       "          root.Bokeh = bokeh;\n",
       "        }\n",
       "        const Bokeh = root.Bokeh;\n",
       "        Bokeh[bokeh.version] = bokeh;\n",
       "      })(this, function() {\n",
       "        var define;\n",
       "        var parent_require = typeof require === \"function\" && require\n",
       "        return (function(modules, entry, aliases, externals) {\n",
       "          if (aliases === undefined) aliases = {};\n",
       "          if (externals === undefined) externals = {};\n",
       "\n",
       "          var cache = {};\n",
       "\n",
       "          var normalize = function(name) {\n",
       "            if (typeof name === \"number\")\n",
       "              return name;\n",
       "\n",
       "            if (name === \"bokehjs\")\n",
       "              return entry;\n",
       "\n",
       "            var prefix = \"@bokehjs/\"\n",
       "            if (name.slice(0, prefix.length) === prefix)\n",
       "              name = name.slice(prefix.length)\n",
       "\n",
       "            var alias = aliases[name]\n",
       "            if (alias != null)\n",
       "              return alias;\n",
       "\n",
       "            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n",
       "            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n",
       "            if (index != null)\n",
       "              return index;\n",
       "\n",
       "            return name;\n",
       "          }\n",
       "\n",
       "          var require = function(name) {\n",
       "            var mod = cache[name];\n",
       "            if (!mod) {\n",
       "              var id = normalize(name);\n",
       "\n",
       "              mod = cache[id];\n",
       "              if (!mod) {\n",
       "                if (!modules[id]) {\n",
       "                  if (externals[id] === false || (externals[id] == true && parent_require)) {\n",
       "                    try {\n",
       "                      mod = {exports: externals[id] ? parent_require(id) : {}};\n",
       "                      cache[id] = cache[name] = mod;\n",
       "                      return mod.exports;\n",
       "                    } catch (e) {}\n",
       "                  }\n",
       "\n",
       "                  var err = new Error(\"Cannot find module '\" + name + \"'\");\n",
       "                  err.code = 'MODULE_NOT_FOUND';\n",
       "                  throw err;\n",
       "                }\n",
       "\n",
       "                mod = {exports: {}};\n",
       "                cache[id] = cache[name] = mod;\n",
       "                modules[id].call(mod.exports, require, mod, mod.exports);\n",
       "              } else\n",
       "                cache[name] = mod;\n",
       "            }\n",
       "\n",
       "            return mod.exports;\n",
       "          }\n",
       "\n",
       "          var main = require(entry);\n",
       "          main.require = require;\n",
       "\n",
       "          if (typeof Proxy !== \"undefined\") {\n",
       "            // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n",
       "            main.loader = new Proxy({}, {\n",
       "              get: function(_obj, module) {\n",
       "                return require(module);\n",
       "              }\n",
       "            });\n",
       "          }\n",
       "\n",
       "          main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n",
       "            if (plugin_aliases === undefined) plugin_aliases = {};\n",
       "            if (plugin_externals === undefined) plugin_externals = {};\n",
       "\n",
       "            for (var name in plugin_modules) {\n",
       "              modules[name] = plugin_modules[name];\n",
       "            }\n",
       "\n",
       "            for (var name in plugin_aliases) {\n",
       "              aliases[name] = plugin_aliases[name];\n",
       "            }\n",
       "\n",
       "            for (var name in plugin_externals) {\n",
       "              externals[name] = plugin_externals[name];\n",
       "            }\n",
       "\n",
       "            var plugin = require(plugin_entry);\n",
       "\n",
       "            for (var name in plugin) {\n",
       "              main[name] = plugin[name];\n",
       "            }\n",
       "\n",
       "            return plugin;\n",
       "          }\n",
       "\n",
       "          return main;\n",
       "        })\n",
       "      ([\n",
       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n",
       "      function _(t,e,n){\n",
       "      /*! *****************************************************************************\n",
       "          Copyright (c) Microsoft Corporation. All rights reserved.\n",
       "          Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
       "          this file except in compliance with the License. You may obtain a copy of the\n",
       "          License at http://www.apache.org/licenses/LICENSE-2.0\n",
       "          \n",
       "          THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
       "          KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
       "          WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
       "          MERCHANTABLITY OR NON-INFRINGEMENT.\n",
       "          \n",
       "          See the Apache Version 2.0 License for specific language governing permissions\n",
       "          and limitations under the License.\n",
       "          ***************************************************************************** */\n",
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       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),n=e(7),r=e(3),i=e(72),_=e(291),a=e(13),l=e(14),c=e(16),h=e(27),d=e(9),f=o.__importStar(e(104)),u=e(25),m=e(8),g=e(245),p=e(76),w=e(71),v=e(105);class b{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new v.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=b,b.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class y{constructor(){s.documents.push(this),this._init_timestamp=Date.now(),this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new b(this),this.idle=new l.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter(e=>e instanceof g.LayoutDOM)}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new _.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=d.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(\"Somehow we didn't detach \"+e);if(0!=this._all_models.size)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new v.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const o=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(n.Models(t))(o)}static _instantiate_references_json(e,t){const s=new Map;for(const o of e){const e=o.id,n=o.type,r=o.attributes||{};let i=t.get(e);null==i&&(i=y._instantiate_object(e,n,r),null!=o.subtype&&i.set_subtype(o.subtype)),s.set(i.id,i)}return s}static _resolve_refs(e,t,s,o){function n(e){if(c.is_ref(e)){if(t.has(e.id))return t.get(e.id);if(s.has(e.id))return s.get(e.id);throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return h.is_NDArray_ref(e)?h.decode_NDArray(e,o):m.isArray(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):m.isPlainObject(e)?function(e){const t={};for(const s in e){const o=e[s];t[s]=n(o)}return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:r,attributes:i}of e){const e=!t.has(r),_=e?s.get(r):t.get(r),a=y._resolve_refs(i,t,s,o);_.setv(a,{silent:!0}),n.set(r,{instance:_,is_new:e})}const r=[],i=new Set;function _(e){if(e instanceof a.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e in o)_(o[e]);s&&(t.finalize(),r.push(t))}}else if(m.isArray(e))for(const t of e)_(t);else if(m.isPlainObject(e))for(const t in e)_(e[t])}for(const e of n.values())_(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=d.difference(n,r),a=d.difference(r,n),l=d.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of a){const r=t.attributes[n];c.push(y._event_for_attribute_change(e,n,r,s,o))}for(const n of l){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(y._event_for_attribute_change(e,n,i,s,o)):u.isEqual(r,i)||c.push(y._event_for_attribute_change(e,n,i,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const _=o(s),a=new Map,l=[];for(const e of s.roots.root_ids)a.set(e,_.get(e)),l.push(e);if(i.sort(),l.sort(),d.difference(i,l).length>0||d.difference(l,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=y._events_to_sync_objects(n.get(e),_.get(e),t,c);h=h.concat(s)}return{references:y._references_json(c,!1),events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=this._all_models.values();return{version:r.version,title:this._title,roots:{root_ids:t,references:y._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return y.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${r.version}) / Python (${t})`;s||r.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const n=e.roots,_=n.root_ids,a=n.references,l=y._instantiate_references_json(a,new Map);y._initialize_references_json(a,new Map,l,new Map);const c=new y;for(const e of _){const t=l.get(e);null!=t&&c.add_root(t)}return c.set_title(e.title),c}replace_with_json(e){y.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t=new Set,s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:y._references_json(t)}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,r=y._instantiate_references_json(o,this._all_models);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)r.set(t,s);else if(!r.has(t))throw i.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const _=new Map,a=new Map;for(const[e,t]of r)this._all_models.has(e)?_.set(e,t):a.set(e,t);y._initialize_references_json(o,_,a,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=y._resolve_refs(o,_,a,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const r=e.attr,i=y._resolve_refs(e.new,_,a,t);n.setv({[r]:i},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const r=y._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,r=e.rollover;o.stream(n,r,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=r.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=r.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=y,y.__name__=\"Document\"},\n",
       "      function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13);s.overrides={};const i=new Map;s.Models=e=>{const r=s.overrides[e]||i.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`);return r},s.Models.register=(e,r)=>{s.overrides[e]=r},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,r=!1,s)=>{var o;if(null!=e)for(const l in e){const n=e[l];if(o=n,t.isObject(o)&&o.prototype instanceof d.HasProps){const e=n.__qualified__;r||!i.has(e)?i.set(e,n):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>Array.from(i.keys());const l=o.__importStar(e(29));s.register_models(l)},\n",
       "      function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});\n",
       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
       "      const e=n(9),i=Object.prototype.toString;function o(n){return\"[object Number]\"===i.call(n)}function c(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}r.isBoolean=function(n){return!0===n||!1===n||\"[object Boolean]\"===i.call(n)},r.isNumber=o,r.isInteger=function(n){return o(n)&&Number.isInteger(n)},r.isString=function(n){return\"[object String]\"===i.call(n)},r.isFunction=function(n){return\"[object Function]\"===i.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return e.every(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r<e;r++)if(!t(n[r]))return!1;return!0},r.isTypedArray=function(n){return ArrayBuffer.isView(n)&&!(n instanceof DataView)},r.isObject=c,r.isPlainObject=function(n){return c(n)&&(null==n.constructor||n.constructor===Object)}},\n",
       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});\n",
       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
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       "      function _(n,t,r){function e(n){if(0==n)return 0;for(;n<=0;)n+=2*Math.PI;for(;n>2*Math.PI;)n-=2*Math.PI;return n}function o(n,t){return e(n-t)}function a(){return Math.random()}Object.defineProperty(r,\"__esModule\",{value:!0}),r.angle_norm=e,r.angle_dist=o,r.angle_between=function(n,t,r,a){const u=o(t,r);if(0==u)return!1;if(u==2*Math.PI)return!0;const f=e(n),i=o(t,f)<=u&&o(f,r)<=u;return 0==a?i:!i},r.random=a,r.randomIn=function(n,t){return null==t&&(t=n,n=0),n+Math.floor(Math.random()*(t-n+1))},r.atan2=function(n,t){return Math.atan2(t[1]-n[1],t[0]-n[0])},r.rnorm=function(n,t){let r,e;for(;r=a(),e=a(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*r*r*Math.log(r)>=e*e););let o=e/r;return o=n+t*o,o},r.clamp=function(n,t,r){return n>r?r:n<t?t:n}},\n",
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       "      function _(n,t,e){function r(n,t,e,...r){const o=n.length;t<0&&(t+=o),t<0?t=0:t>o&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const u=o-e+r.length,i=new n.constructor(u);let f=0;for(;f<t;f++)i[f]=n[f];for(const n of r)i[f++]=n;for(let r=t+e;r<o;r++)i[f++]=n[r];return i}function o(n,t){return r(n,t,n.length-t)}function u(n,t,e){const r=n.length;if(void 0===e&&0==r)throw new Error(\"can't reduce an empty array without an initial value\");let o,u;for(void 0===e?(o=n[0],u=1):(o=e,u=0);u<r;u++)o=t(o,n[u],u,n);return o}function i(n){return function(t,e){const r=t.length;let o=n>0?0:r-1;for(;o>=0&&o<r;o+=n)if(e(t[o]))return o;return-1}}Object.defineProperty(e,\"__esModule\",{value:!0}),e.is_empty=function(n){return 0==n.length},e.splice=r,e.head=o,e.insert=function(n,t,e){return r(n,e,0,t)},e.append=function(n,t){return r(n,n.length,0,t)},e.prepend=function(n,t){return r(n,0,0,t)},e.indexOf=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.map=function(n,t){const e=n.length,r=new n.constructor(e);for(let o=0;o<e;o++)r[o]=t(n[o],o,n);return r},e.filter=function(n,t){const e=n.length,r=new n.constructor(e);let u=0;for(let o=0;o<e;o++){const e=n[o];t(e,o,n)&&(r[u++]=e)}return o(r,u)},e.reduce=u,e.min=function(n){let t,e=1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t<e&&(e=t);return e},e.min_by=function(n,t){if(0==n.length)throw new Error(\"min_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i<r&&(e=u,r=i)}return e},e.max=function(n){let t,e=-1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t>e&&(e=t);return e},e.max_by=function(n,t){if(0==n.length)throw new Error(\"max_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i>r&&(e=u,r=i)}return e},e.sum=function(n){let t=0;for(let e=0,r=n.length;e<r;e++)t+=n[e];return t},e.cumsum=function(n){const t=new n.constructor(n.length);return u(n,(n,e,r)=>t[r]=n+e,0),t},e.every=function(n,t){for(let e=0,r=n.length;e<r;e++)if(!t(n[e]))return!1;return!0},e.some=function(n,t){for(let e=0,r=n.length;e<r;e++)if(t(n[e]))return!0;return!1},e.index_of=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.find_index=i(1),e.find_last_index=i(-1),e.find=function(n,t){const r=e.find_index(n,t);return-1==r?void 0:n[r]},e.find_last=function(n,t){const r=e.find_last_index(n,t);return-1==r?void 0:n[r]},e.sorted_index=function(n,t){let e=0,r=n.length;for(;e<r;){const o=Math.floor((e+r)/2);n[o]<t?e=o+1:r=o}return e}},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),n=e(14),i=e(16),o=r.__importStar(e(18)),c=r.__importStar(e(23)),a=e(24),_=e(9),u=e(17),h=e(8),f=e(25),l=e(5),p=e(26),d=e(27);class y extends(n.Signalable()){constructor(e={}){var t;super(),this._subtype=void 0,this.document=null,this.destroyed=new n.Signal0(this,\"destroyed\"),this.change=new n.Signal0(this,\"change\"),this.transformchange=new n.Signal0(this,\"transformchange\"),this.properties={},this._pending=!1,this._changing=!1;const s=e instanceof Map?e.get:t=>e[t];for(const[e,{type:t,default_value:r,options:n}]of u.entries(this._props)){if(null==t)throw new Error(`undefined property type for ${this.type}.${e}`);this.properties[e]=new t(this,e,r,s(e),n)}null!==(t=s(\"__deferred__\"))&&void 0!==t&&t||(this.finalize(),this.connect_signals())}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:e,__name__:t}=this;return null!=e?`${e}.${t}`:t}static init_HasProps(){this.prototype._props={},this.prototype._mixins=[],this.define({id:[o.String,()=>a.uniqueId()]})}static _fix_default(e,t){return void 0===e?void 0:h.isFunction(e)?e:h.isObject(e)?h.isArray(e)?()=>_.copy(e):()=>u.clone(e):()=>e}static define(e){for(const[t,s]of u.entries(e)){if(null!=this.prototype._props[t])throw new Error(`attempted to redefine property '${this.prototype.type}.${t}'`);if(null!=this.prototype[t])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${t}'`);Object.defineProperty(this.prototype,t,{get(){return this.properties[t].get_value()},set(e){return this.setv({[t]:e}),this},configurable:!1,enumerable:!0});const[e,r,n]=s,i={type:e,default_value:this._fix_default(r,t),options:n},o=u.clone(this.prototype._props);o[t]=i,this.prototype._props=o}}static internal(e){const t={};for(const[s,r]of u.entries(e)){const[e,n,i={}]=r;t[s]=[e,n,Object.assign(Object.assign({},i),{internal:!0})]}this.define(t)}static mixins(e){function t(e){switch(e){case\"line\":return c.LineVector;case\"fill\":return c.FillVector;case\"hatch\":return c.HatchVector;case\"text\":return c.TextVector;default:throw new Error(`Unknown property mixin kind '${e}'`)}}function s(e,t){const s={};for(const[r,n]of u.entries(t))s[e+r]=n;return s}function r(e){const[t]=Object.keys(e),[s]=t.split(\"_\",1);return s}h.isArray(e)||(e=[e]);const n={},i=[];for(const o of e)if(h.isString(o)){const[e,r=\"\"]=o.split(\":\"),c=t(e);i.push(o),u.extend(n,s(r,c))}else if(h.isArray(o)){const[e,t]=o;i.push(`${r(t)}:${e}`),u.extend(n,s(e,t))}else{const e=o;i.push(r(e)),u.extend(n,e)}this.define(n),this.prototype._mixins=[...this.prototype._mixins,...i]}static override(e){for(const[t,s]of u.entries(e)){const e=this._fix_default(s,t),r=this.prototype._props[t];if(null==r)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const n=u.clone(this.prototype._props);n[t]=Object.assign(Object.assign({},r),{default_value:e}),this.prototype._props=n}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}finalize(){for(const e of this)null!=e.spec.transform&&this.connect(e.spec.transform.change,()=>this.transformchange.emit());this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){n.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return new this.constructor(this.attributes)}_setv(e,t){const s=t.check_eq,r=t.silent,n=[],i=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&f.isEqual(t.get_value(),r)||(t.set_value(r),n.push(t));if(!r){n.length>0&&(this._pending=!0);for(const e of n)e.change.emit()}if(!i){if(!r&&!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){if(u.isEmpty(e))return;const s=new Map,r=new Map;for(const t in e){if(!e.hasOwnProperty(t))continue;const n=this.properties[t];if(null==n)throw new Error(`property ${this.type}.${t} wasn't declared`);const i=e[t];s.set(n,i),r.set(n,n.get_value())}this._setv(s,t);const{document:n}=this;if(null!=n){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){n._invalidate_all_models();break}!0!==t.silent&&this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){for(const e in this.properties)yield this.properties[e]}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _value_to_json(e){if(e instanceof y)return e.ref();if(p.is_NDArray(e))return d.encode_NDArray(e);if(h.isArray(e)||h.isTypedArray(e)){const t=e.length,s=new Array(t);for(let r=0;r<t;r++){const t=e[r];s[r]=y._value_to_json(t)}return s}if(h.isPlainObject(e)){const t={};for(const s in e)e.hasOwnProperty(s)&&(t[s]=y._value_to_json(e[s]));return t}return e}attributes_as_json(e=!0,t=y._value_to_json){const s={};for(const r of this)r.syncable&&(e||r.dirty)&&(s[r.attr]=t(r.get_value()));return s}static _json_record_references(e,t,s,r){const{recursive:n}=r;if(i.is_ref(t)){const r=e.get_model_by_id(t.id);null==r||s.has(r)||y._value_record_references(r,s,{recursive:n})}else if(h.isArray(t))for(const r of t)y._json_record_references(e,r,s,{recursive:n});else if(h.isPlainObject(t))for(const r in t)if(t.hasOwnProperty(r)){const i=t[r];y._json_record_references(e,i,s,{recursive:n})}}static _value_record_references(e,t,s){const{recursive:r}=s;if(e instanceof y){if(!t.has(e)&&(t.add(e),r)){const s=e._immediate_references();for(const e of s)y._value_record_references(e,t,{recursive:!0})}}else if(h.isArray(e))for(const s of e)y._value_record_references(s,t,{recursive:r});else if(h.isPlainObject(e))for(const s in e)if(e.hasOwnProperty(s)){const n=e[s];y._value_record_references(n,t,{recursive:r})}}_immediate_references(){const e=new Set;for(const t of this.syncable_properties()){const s=t.get_value();y._value_record_references(s,e,{recursive:!1})}return[...e.values()]}references(){const e=new Set;return y._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;y._value_record_references(t,s,{recursive:!1});const r=new Set;y._value_record_references(e,r,{recursive:!1});for(const e of s)if(!r.has(e))return!0;for(const e of r)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){const{document:s}=this;if(null==s)return;const{setter_id:r}=t,n=[];for(const[t,i,o]of e)t.syncable&&n.push(new l.ModelChangedEvent(s,this,t.attr,i,o,r));if(0!=n.length){let e;1==n.length?[e]=n:e=new l.DocumentEventBatch(s,n,r),s._trigger_on_change(e)}}materialize_dataspecs(e){const t={};for(const s of this){if(!(s instanceof o.VectorSpec))continue;if(s.optional&&null==s.spec.value&&!s.dirty)continue;const r=s.attr,n=s.array(e);t[\"_\"+r]=n,s instanceof o.DistanceSpec&&(t[\"max_\"+r]=_.max(n))}return t}on_change(e,t){for(const s of h.isArray(e)?e:[e])this.connect(s.change,t)}}s.HasProps=y,y.init_HasProps()},\n",
       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=n(15),l=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){c.has(this.sender)||c.set(this.sender,[]);const e=c.get(this.sender);if(null!=u(e,this,n,t))return!1;const s=t||n;r.has(s)||r.set(s,[]);const l=r.get(s),o={signal:this,slot:n,context:t};return e.push(o),l.push(o),!0}disconnect(n,t=null){const e=c.get(this.sender);if(null==e||0===e.length)return!1;const s=u(e,this,n,t);if(null==s)return!1;const l=t||n,o=r.get(l);return s.signal=null,f(e),f(o),!0}emit(n){const t=c.get(this.sender)||[];for(const{signal:e,slot:s,context:l}of t)e===this&&s.call(l,n,this.sender)}}e.Signal=o,o.__name__=\"Signal\";class i extends o{emit(){super.emit(void 0)}}e.Signal0=i,i.__name__=\"Signal0\",function(n){n.disconnectBetween=function(n,t){const e=c.get(n);if(null==e||0===e.length)return;const s=r.get(t);if(null!=s&&0!==s.length){for(const t of s){if(null==t.signal)return;t.signal.sender===n&&(t.signal=null)}f(e),f(s)}},n.disconnectSender=function(n){const t=c.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.context||n.slot;n.signal=null,f(r.get(t))}f(t)}},n.disconnectReceiver=function(n){const t=r.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.signal.sender;n.signal=null,f(c.get(t))}f(t)}},n.disconnectAll=function(n){const t=c.get(n);if(null!=t&&0!==t.length){for(const n of t)n.signal=null;f(t)}const e=r.get(n);if(null!=e&&0!==e.length){for(const n of e)n.signal=null;f(e)}}}(o||(e.Signal=o={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const c=new WeakMap,r=new WeakMap;function u(n,t,e,s){return l.find(n,n=>n.signal===t&&n.slot===e&&n.context===s)}const g=new Set;function f(n){0===g.size&&s.defer(a),g.add(n)}function a(){for(const n of g)l.remove_by(n,n=>null==n.signal);g.clear()}},\n",
       "      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n",
       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
       "      function(n,e){return setTimeout(n,e)};const u=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;t.defer=function(n){return new Promise(e=>{u(()=>e(n()))})},t.throttle=function(n,e,t={}){let u,o,i,r=null,l=0;const c=function(){l=!1===t.leading?0:Date.now(),r=null,i=n.apply(u,o),r||(u=o=null)};return function(){const a=Date.now();l||!1!==t.leading||(l=a);const f=e-(a-l);return u=this,o=arguments,f<=0||f>e?(r&&(clearTimeout(r),r=null),l=a,i=n.apply(u,o),r||(u=o=null)):r||!1===t.trailing||(r=setTimeout(c,f)),i}},t.once=function(n){let e,t=!1;return function(){return t||(t=!0,e=n()),e}}},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(8),r=e(17);t.is_ref=function(e){if(i.isPlainObject(e)){const n=r.keys(e);return 1==n.length&&\"id\"==n[0]}return!1}},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const c=e(9);function o(e){return Object.keys(e).length}n.keys=Object.keys,n.values=Object.values,n.entries=Object.entries,n.extend=Object.assign,n.clone=function(e){return Object.assign({},e)},n.merge=function(e,t){const n=Object.create(Object.prototype),o=c.concat([Object.keys(e),Object.keys(t)]);for(const s of o){const o=e.hasOwnProperty(s)?e[s]:[],r=t.hasOwnProperty(s)?t[s]:[];n[s]=c.union(o,r)}return n},n.size=o,n.isEmpty=function(e){return 0==o(e)},n.to_object=function(e){const t={};for(const[n,c]of e)t[n]=c;return t}},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(14),s=i.__importStar(e(19)),r=e(9),l=e(12),o=e(20),_=e(8),c=e(22);function u(e){try{return JSON.stringify(e)}catch(t){return e.toString()}}function d(e){return _.isPlainObject(e)&&(void 0===e.value?0:1)+(void 0===e.field?0:1)+(void 0===e.expr?0:1)==1}n.isSpec=d;class p{constructor(e,t,n,i,s={}){var r,l;let o;if(this.obj=e,this.attr=t,this.default_value=n,this._dirty=!1,this.change=new a.Signal0(this.obj,\"change\"),this.internal=null!==(r=s.internal)&&void 0!==r&&r,this.optional=null!==(l=s.optional)&&void 0!==l&&l,void 0!==i)o=i,this._dirty=!0;else{const t=this._default_override();o=void 0!==t?t:void 0!==n?n(e):null}this._update(o)}get syncable(){return!this.internal}get_value(){return this.spec.value}set_value(e){this._update(e),this._dirty=!0}_default_override(){}get dirty(){return this._dirty}_update(e){null!=e&&this.validate(e),this.spec={value:e}}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${u(this.spec)})`}normalize(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj.type}.${this.attr} given invalid value: ${u(e)}`)}valid(e){return!0}value(e=!0){if(void 0===this.spec.value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.normalize([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}}n.Property=p,p.__name__=\"Property\";class S extends p{}n.Any=S,S.__name__=\"Any\";class h extends p{valid(e){return _.isArray(e)||e instanceof Float64Array}}n.Array=h,h.__name__=\"Array\";class m extends p{valid(e){return _.isBoolean(e)}}n.Boolean=m,m.__name__=\"Boolean\";class v extends p{valid(e){return _.isString(e)&&o.is_color(e)}}n.Color=v,v.__name__=\"Color\";class g extends p{}n.Instance=g,g.__name__=\"Instance\";class x extends p{valid(e){return _.isNumber(e)}}n.Number=x,x.__name__=\"Number\";class y extends x{valid(e){return _.isNumber(e)&&(0|e)==e}}n.Int=y,y.__name__=\"Int\";class f extends x{}n.Angle=f,f.__name__=\"Angle\";class P extends x{valid(e){return _.isNumber(e)&&0<=e&&e<=1}}n.Percent=P,P.__name__=\"Percent\";class A extends p{valid(e){return _.isString(e)}}n.String=A,A.__name__=\"String\";class L extends p{valid(e){return null===e||_.isString(e)}}n.NullString=L,L.__name__=\"NullString\";class T extends A{}n.FontSize=T,T.__name__=\"FontSize\";class b extends A{_default_override(){return c.settings.dev?\"Bokeh\":void 0}}n.Font=b,b.__name__=\"Font\";class M extends p{valid(e){return _.isString(e)&&r.includes(this.enum_values,e)}}function B(e){return class extends M{get enum_values(){return e}}}n.EnumProperty=M,M.__name__=\"EnumProperty\",n.Enum=B;class C extends M{get enum_values(){return s.Direction}normalize(e){const t=new Uint8Array(e.length);for(let 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       "      //     Underscore may be freely distributed under the MIT license.\n",
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       "      function _(e,n,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.is_ie=(()=>{const e=\"undefined\"!=typeof navigator?navigator.userAgent:\"\";return e.indexOf(\"MSIE\")>=0||e.indexOf(\"Trident\")>0||e.indexOf(\"Edge\")>0})(),i.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),i.is_little_endian=(()=>{const e=new ArrayBuffer(4),n=new Uint8Array(e);new Uint32Array(e)[1]=168496141;let i=!0;return 10==n[4]&&11==n[5]&&12==n[6]&&13==n[7]&&(i=!1),i})()},\n",
       "      function _(t,_,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=t(1);e.__exportStar(t(30),r),e.__exportStar(t(149),r),e.__exportStar(t(176),r),e.__exportStar(t(180),r),e.__exportStar(t(194),r),e.__exportStar(t(198),r),e.__exportStar(t(204),r),e.__exportStar(t(208),r),e.__exportStar(t(238),r),e.__exportStar(t(241),r),e.__exportStar(t(243),r),e.__exportStar(t(260),r),e.__exportStar(t(123),r),e.__exportStar(t(266),r),e.__exportStar(t(270),r),e.__exportStar(t(297),r),e.__exportStar(t(298),r),e.__exportStar(t(299),r),e.__exportStar(t(300),r),e.__exportStar(t(301),r),e.__exportStar(t(306),r),e.__exportStar(t(308),r),e.__exportStar(t(319),r),e.__exportStar(t(323),r)},\n",
       "      function _(a,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});var r=a(31);o.Annotation=r.Annotation;var n=a(74);o.Arrow=n.Arrow;var t=a(75);o.ArrowHead=t.ArrowHead;var v=a(75);o.OpenHead=v.OpenHead;var l=a(75);o.NormalHead=l.NormalHead;var d=a(75);o.TeeHead=d.TeeHead;var i=a(75);o.VeeHead=i.VeeHead;var A=a(106);o.Band=A.Band;var H=a(107);o.BoxAnnotation=H.BoxAnnotation;var T=a(108);o.ColorBar=T.ColorBar;var p=a(133);o.Label=p.Label;var L=a(135);o.LabelSet=L.LabelSet;var b=a(136);o.Legend=b.Legend;var B=a(137);o.LegendItem=B.LegendItem;var S=a(139);o.PolyAnnotation=S.PolyAnnotation;var P=a(140);o.Slope=P.Slope;var g=a(141);o.Span=g.Span;var m=a(134);o.TextAnnotation=m.TextAnnotation;var w=a(142);o.Title=w.Title;var x=a(143);o.ToolbarPanel=x.ToolbarPanel;var s=a(144);o.Tooltip=s.Tooltip;var u=a(148);o.Whisker=u.Whisker},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importStar(t(32)),o=t(17),_=t(65),a=n.__importDefault(t(73));class r extends _.RendererView{get panel(){return this.layout}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.visible,()=>this.plot_view.request_layout())}styles(){return[...super.styles(),a.default]}get_size(){if(this.model.visible){const{width:t,height:e}=this._get_size();return{width:Math.round(t),height:Math.round(e)}}return{width:0,height:0}}_get_size(){throw new Error(\"not implemented\")}set_data(t){const e=this.model.materialize_dataspecs(t);if(o.extend(this,e),this.plot_model.use_map){const t=this;null!=t._x&&([t._x,t._y]=i.project_xy(t._x,t._y)),null!=t._xs&&([t._xs,t._ys]=i.project_xsys(t._xs,t._ys))}}get needs_clip(){return null==this.layout}serializable_state(){const t=super.serializable_state();return null==this.layout?t:Object.assign(Object.assign({},t),{bbox:this.layout.bbox.box})}}s.AnnotationView=r,r.__name__=\"AnnotationView\";class l extends _.Renderer{constructor(t){super(t)}static init_Annotation(){this.override({level:\"annotation\"})}}s.Annotation=l,l.__name__=\"Annotation\",l.init_Annotation()},\n",
       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),o=r.__importDefault(t(33)),a=r.__importDefault(t(34)),c=new a.default(\"GOOGLE\"),l=new a.default(\"WGS84\");e.wgs84_mercator=o.default(l,c);const u={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},f={lon:[-180,180],lat:[-85.06,85.06]};function s(t,n){const r=Math.min(t.length,n.length),o=new Array(r),a=new Array(r);for(let c=0;c<r;c++){const[r,l]=e.wgs84_mercator.forward([t[c],n[c]]);o[c]=r,a[c]=l}return[o,a]}e.clip_mercator=function(t,n,e){const[r,o]=u[e];return[Math.max(t,r),Math.min(n,o)]},e.in_bounds=function(t,n){const[e,r]=f[n];return e<t&&t<r},e.project_xy=s,e.project_xsys=function(t,n){const e=Math.min(t.length,n.length),r=new Array(e),o=new Array(e);for(let a=0;a<e;a++){const[e,c]=s(t[a],n[a]);r[a]=e,o[a]=c}return[r,o]}},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(1),o=r.__importDefault(e(34)),a=r.__importDefault(e(59));var i=o.default(\"WGS84\");function c(e,n,t){var r,o,i;return Array.isArray(t)?(r=a.default(e,n,t)||{x:NaN,y:NaN},t.length>2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof r.z?[r.x,r.y,r.z].concat(t.splice(3)):[r.x,r.y,t[2]].concat(t.splice(3)):[r.x,r.y].concat(t.splice(2)):[r.x,r.y]):(o=a.default(e,n,t),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;o[r]=t[r]})),o)}function u(e){return e instanceof o.default?e:e.oProj?e.oProj:o.default(e)}t.default=function(e,n,t){e=u(e);var r,o=!1;return void 0===n?(n=e,e=i,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=i,o=!0),n=u(n),t?c(e,n,t):(r={forward:function(t){return c(e,n,t)},inverse:function(t){return c(n,e,t)}},o&&(r.oProj=n),r)}},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),i=s.__importDefault(e(35)),u=s.__importDefault(e(46)),l=s.__importDefault(e(47)),o=e(55),r=s.__importDefault(e(57)),f=s.__importDefault(e(58)),d=s.__importDefault(e(42));function p(e,t){if(!(this instanceof p))return new p(e);t=t||function(e){if(e)throw e};var a=i.default(e);if(\"object\"==typeof a){var s=p.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var l=d.default(r.default,a.datumCode);l&&(a.datum_params=l.towgs84?l.towgs84.split(\",\"):null,a.ellps=l.ellipse,a.datumName=l.datumName?l.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\";var m=o.sphere(a.a,a.b,a.rf,a.ellps,a.sphere),n=o.eccentricity(m.a,m.b,m.rf,a.R_A),h=a.datum||f.default(a.datumCode,a.datum_params,m.a,m.b,n.es,n.ep2);u.default(this,a),u.default(this,s),this.a=m.a,this.b=m.b,this.rf=m.rf,this.sphere=m.sphere,this.es=n.es,this.e=n.e,this.ep2=n.ep2,this.datum=h,this.init(),t(null,this)}else t(e)}else t(e)}p.projections=l.default,p.projections.start(),a.default=p},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const u=t(1),n=u.__importDefault(t(36)),f=u.__importDefault(t(43)),i=u.__importDefault(t(38)),a=u.__importDefault(t(42));var o=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var l=[\"3857\",\"900913\",\"3785\",\"102113\"];r.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in n.default}(t))return n.default[t];if(function(t){return o.some((function(e){return t.indexOf(e)>-1}))}(t)){var e=f.default(t);if(function(t){var e=a.default(t,\"authority\");if(e){var r=a.default(e,\"epsg\");return r&&l.indexOf(r)>-1}}(e))return n.default[\"EPSG:3857\"];var r=function(t){var e=a.default(t,\"extension\");if(e)return a.default(e,\"proj4\")}(e);return r?i.default(r):e}return function(t){return\"+\"===t[0]}(t)?i.default(t):void 0}},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=i.__importDefault(t(37)),f=i.__importDefault(t(38)),a=i.__importDefault(t(43));function l(t){var e=this;if(2===arguments.length){var r=arguments[1];\"string\"==typeof r?\"+\"===r.charAt(0)?l[t]=f.default(arguments[1]):l[t]=a.default(arguments[1]):l[t]=r}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?l.apply(e,t):l(t)}));if(\"string\"==typeof t){if(t in l)return l[t]}else\"EPSG\"in t?l[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?l[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?l[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}n.default(l),r.default=l},\n",
       "      function _(e,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.default=function(e){e(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),e(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),e(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),e.WGS84=e[\"EPSG:4326\"],e[\"EPSG:3785\"]=e[\"EPSG:3857\"],e.GOOGLE=e[\"EPSG:3857\"],e[\"EPSG:900913\"]=e[\"EPSG:3857\"],e[\"EPSG:102113\"]=e[\"EPSG:3857\"]}},\n",
       "      function _(t,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),a=t(39),u=e.__importDefault(t(40)),r=e.__importDefault(t(41)),i=e.__importDefault(t(42));o.default=function(t){var n,o,e,f={},l=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){f.rf=parseFloat(t)},lat_0:function(t){f.lat0=t*a.D2R},lat_1:function(t){f.lat1=t*a.D2R},lat_2:function(t){f.lat2=t*a.D2R},lat_ts:function(t){f.lat_ts=t*a.D2R},lon_0:function(t){f.long0=t*a.D2R},lon_1:function(t){f.long1=t*a.D2R},lon_2:function(t){f.long2=t*a.D2R},alpha:function(t){f.alpha=parseFloat(t)*a.D2R},lonc:function(t){f.longc=t*a.D2R},x_0:function(t){f.x0=parseFloat(t)},y_0:function(t){f.y0=parseFloat(t)},k_0:function(t){f.k0=parseFloat(t)},k:function(t){f.k0=parseFloat(t)},a:function(t){f.a=parseFloat(t)},b:function(t){f.b=parseFloat(t)},r_a:function(){f.R_A=!0},zone:function(t){f.zone=parseInt(t,10)},south:function(){f.utmSouth=!0},towgs84:function(t){f.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){f.to_meter=parseFloat(t)},units:function(t){f.units=t;var n=i.default(r.default,t);n&&(f.to_meter=n.to_meter)},from_greenwich:function(t){f.from_greenwich=t*a.D2R},pm:function(t){var n=i.default(u.default,t);f.from_greenwich=(n||parseFloat(t))*a.D2R},nadgrids:function(t){\"@null\"===t?f.datumCode=\"none\":f.nadgrids=t},axis:function(t){3===t.length&&-1!==\"ewnsud\".indexOf(t.substr(0,1))&&-1!==\"ewnsud\".indexOf(t.substr(1,1))&&-1!==\"ewnsud\".indexOf(t.substr(2,1))&&(f.axis=t)}};for(n in l)o=l[n],n in c?\"function\"==typeof(e=c[n])?e(o):f[e]=o:f[n]=o;return\"string\"==typeof f.datumCode&&\"WGS84\"!==f.datumCode&&(f.datumCode=f.datumCode.toLowerCase()),f}},\n",
       "      function _(P,_,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.PJD_3PARAM=1,e.PJD_7PARAM=2,e.PJD_WGS84=4,e.PJD_NODATUM=5,e.SEC_TO_RAD=484813681109536e-20,e.HALF_PI=Math.PI/2,e.SIXTH=.16666666666666666,e.RA4=.04722222222222222,e.RA6=.022156084656084655,e.EPSLN=1e-10,e.D2R=.017453292519943295,e.R2D=57.29577951308232,e.FORTPI=Math.PI/4,e.TWO_PI=2*Math.PI,e.SPI=3.14159265359},\n",
       "      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var a={};r.default=a,a.greenwich=0,a.lisbon=-9.131906111111,a.paris=2.337229166667,a.bogota=-74.080916666667,a.madrid=-3.687938888889,a.rome=12.452333333333,a.bern=7.439583333333,a.jakarta=106.807719444444,a.ferro=-17.666666666667,a.brussels=4.367975,a.stockholm=18.058277777778,a.athens=23.7163375,a.oslo=10.722916666667},\n",
       "      function _(e,t,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f<a.length;)if((t=a[f]).toLowerCase().replace(o,\"\")===n)return e[t]}},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const o=e(1);const d=o.__importDefault(e(44)),r=e(45);function n(e){return.017453292519943295*e}a.default=function(e){var t=d.default(e),a=t.shift(),o=t.shift();t.unshift([\"name\",o]),t.unshift([\"type\",a]);var l={};return r.sExpr(t,l),function(e){if(\"GEOGCS\"===e.type?e.projName=\"longlat\":\"LOCAL_CS\"===e.type?(e.projName=\"identity\",e.local=!0):\"object\"==typeof e.PROJECTION?e.projName=Object.keys(e.PROJECTION)[0]:e.projName=e.PROJECTION,e.AXIS){for(var t=\"\",a=0,o=e.AXIS.length;a<o;++a){var d=e.AXIS[a][0].toLowerCase();-1!==d.indexOf(\"north\")?t+=\"n\":-1!==d.indexOf(\"south\")?t+=\"s\":-1!==d.indexOf(\"east\")?t+=\"e\":-1!==d.indexOf(\"west\")&&(t+=\"w\")}2===t.length&&(t+=\"u\"),3===t.length&&(e.axis=t)}e.UNIT&&(e.units=e.UNIT.name.toLowerCase(),\"metre\"===e.units&&(e.units=\"meter\"),e.UNIT.convert&&(\"GEOGCS\"===e.type?e.DATUM&&e.DATUM.SPHEROID&&(e.to_meter=e.UNIT.convert*e.DATUM.SPHEROID.a):e.to_meter=e.UNIT.convert));var r=e.GEOGCS;function l(t){return t*(e.to_meter||1)}\"GEOGCS\"===e.type&&(r=e),r&&(r.DATUM?e.datumCode=r.DATUM.name.toLowerCase():e.datumCode=r.name.toLowerCase(),\"d_\"===e.datumCode.slice(0,2)&&(e.datumCode=e.datumCode.slice(2)),\"new_zealand_geodetic_datum_1949\"!==e.datumCode&&\"new_zealand_1949\"!==e.datumCode||(e.datumCode=\"nzgd49\"),\"wgs_1984\"!==e.datumCode&&\"world_geodetic_system_1984\"!==e.datumCode||(\"Mercator_Auxiliary_Sphere\"===e.PROJECTION&&(e.sphere=!0),e.datumCode=\"wgs84\"),\"_ferro\"===e.datumCode.slice(-6)&&(e.datumCode=e.datumCode.slice(0,-6)),\"_jakarta\"===e.datumCode.slice(-8)&&(e.datumCode=e.datumCode.slice(0,-8)),~e.datumCode.indexOf(\"belge\")&&(e.datumCode=\"rnb72\"),r.DATUM&&r.DATUM.SPHEROID&&(e.ellps=r.DATUM.SPHEROID.name.replace(\"_19\",\"\").replace(/[Cc]larke\\_18/,\"clrk\"),\"international\"===e.ellps.toLowerCase().slice(0,13)&&(e.ellps=\"intl\"),e.a=r.DATUM.SPHEROID.a,e.rf=parseFloat(r.DATUM.SPHEROID.rf,10)),r.DATUM&&r.DATUM.TOWGS84&&(e.datum_params=r.DATUM.TOWGS84),~e.datumCode.indexOf(\"osgb_1936\")&&(e.datumCode=\"osgb36\"),~e.datumCode.indexOf(\"osni_1952\")&&(e.datumCode=\"osni52\"),(~e.datumCode.indexOf(\"tm65\")||~e.datumCode.indexOf(\"geodetic_datum_of_1965\"))&&(e.datumCode=\"ire65\"),\"ch1903+\"===e.datumCode&&(e.datumCode=\"ch1903\"),~e.datumCode.indexOf(\"israel\")&&(e.datumCode=\"isr93\")),e.b&&!isFinite(e.b)&&(e.b=e.a),[[\"standard_parallel_1\",\"Standard_Parallel_1\"],[\"standard_parallel_2\",\"Standard_Parallel_2\"],[\"false_easting\",\"False_Easting\"],[\"false_northing\",\"False_Northing\"],[\"central_meridian\",\"Central_Meridian\"],[\"latitude_of_origin\",\"Latitude_Of_Origin\"],[\"latitude_of_origin\",\"Central_Parallel\"],[\"scale_factor\",\"Scale_Factor\"],[\"k0\",\"scale_factor\"],[\"latitude_of_center\",\"Latitude_Of_Center\"],[\"latitude_of_center\",\"Latitude_of_center\"],[\"lat0\",\"latitude_of_center\",n],[\"longitude_of_center\",\"Longitude_Of_Center\"],[\"longitude_of_center\",\"Longitude_of_center\"],[\"longc\",\"longitude_of_center\",n],[\"x0\",\"false_easting\",l],[\"y0\",\"false_northing\",l],[\"long0\",\"central_meridian\",n],[\"lat0\",\"latitude_of_origin\",n],[\"lat0\",\"standard_parallel_1\",n],[\"lat1\",\"standard_parallel_1\",n],[\"lat2\",\"standard_parallel_2\",n],[\"azimuth\",\"Azimuth\"],[\"alpha\",\"azimuth\",n],[\"srsCode\",\"name\"]].forEach((function(t){return a=e,d=(o=t)[0],r=o[1],void(!(d in a)&&r in a&&(a[d]=a[r],3===o.length&&(a[d]=o[2](a[d]))));var a,o,d,r})),e.long0||!e.longc||\"Albers_Conic_Equal_Area\"!==e.projName&&\"Lambert_Azimuthal_Equal_Area\"!==e.projName||(e.long0=e.longc),e.lat_ts||!e.lat1||\"Stereographic_South_Pole\"!==e.projName&&\"Polar Stereographic (variant B)\"!==e.projName||(e.lat0=n(e.lat1>0?90:-90),e.lat_ts=e.lat1)}(l),l}},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(t){return new a(t).output()};var i=/\\s/,s=/[A-Za-z]/,h=/[A-Za-z84]/,o=/[,\\]]/,n=/[\\d\\.E\\-\\+]/;function a(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}a.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;i.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},a.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(o.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},a.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},a.prototype.number=function(t){if(!n.test(t)){if(o.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},a.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},a.prototype.keyword=function(t){if(h.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},a.prototype.neutral=function(t){if(s.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(n.test(t))return this.word=t,void(this.state=3);if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},a.prototype.output=function(){for(;this.place<this.text.length;)this.readCharicter();if(-1===this.state)return this.root;throw new Error('unable to parse string \"'+this.text+'\". State is '+this.state)}},\n",
       "      function _(e,r,a){function s(e,r,a){Array.isArray(r)&&(a.unshift(r),r=null);var s=r?{}:e,n=a.reduce((function(e,r){return c(r,e),e}),s);r&&(e[r]=n)}function c(e,r){if(Array.isArray(e)){var a=e.shift();if(\"PARAMETER\"===a&&(a=e.shift()),1===e.length)return Array.isArray(e[0])?(r[a]={},void c(e[0],r[a])):void(r[a]=e[0]);if(e.length)if(\"TOWGS84\"!==a){if(\"AXIS\"===a)return a in r||(r[a]=[]),void r[a].push(e);var n;switch(Array.isArray(a)||(r[a]={}),a){case\"UNIT\":case\"PRIMEM\":case\"VERT_DATUM\":return r[a]={name:e[0].toLowerCase(),convert:e[1]},void(3===e.length&&c(e[2],r[a]));case\"SPHEROID\":case\"ELLIPSOID\":return r[a]={name:e[0],a:e[1],rf:e[2]},void(4===e.length&&c(e[3],r[a]));case\"PROJECTEDCRS\":case\"PROJCRS\":case\"GEOGCS\":case\"GEOCCS\":case\"PROJCS\":case\"LOCAL_CS\":case\"GEODCRS\":case\"GEODETICCRS\":case\"GEODETICDATUM\":case\"EDATUM\":case\"ENGINEERINGDATUM\":case\"VERT_CS\":case\"VERTCRS\":case\"VERTICALCRS\":case\"COMPD_CS\":case\"COMPOUNDCRS\":case\"ENGINEERINGCRS\":case\"ENGCRS\":case\"FITTED_CS\":case\"LOCAL_DATUM\":case\"DATUM\":return e[0]=[\"name\",e[0]],void s(r,a,e);default:for(n=-1;++n<e.length;)if(!Array.isArray(e[n]))return c(e,r[a]);return s(r,a,e)}}else r[a]=e;else r[a]=!0}else r[e]=!0}Object.defineProperty(a,\"__esModule\",{value:!0}),a.sExpr=c},\n",
       "      function _(e,n,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(e,n){var r,t;if(e=e||{},!n)return e;for(t in n)void 0!==(r=n[t])&&(e[t]=r);return e}},\n",
       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(1),n=a.__importDefault(t(48)),r=a.__importDefault(t(54));var u=[n.default,r.default],f={},i=[];function d(t,e){var o=i.length;return t.names?(i[o]=t,t.names.forEach((function(t){f[t.toLowerCase()]=o})),this):(console.log(e),!0)}function c(t){if(!t)return!1;var e=t.toLowerCase();return void 0!==f[e]&&i[f[e]]?i[f[e]]:void 0}function l(){u.forEach(d)}o.add=d,o.get=c,o.start=l,o.default={start:l,add:d,get:c}},\n",
       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const h=t(1),a=h.__importDefault(t(49)),e=h.__importDefault(t(50)),r=h.__importDefault(t(52)),n=h.__importDefault(t(53)),l=t(39);function u(){var t=this.b/this.a;this.es=1-t*t,\"x0\"in this||(this.x0=0),\"y0\"in this||(this.y0=0),this.e=Math.sqrt(this.es),this.lat_ts?this.sphere?this.k0=Math.cos(this.lat_ts):this.k0=a.default(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)):this.k0||(this.k?this.k0=this.k:this.k0=1)}function o(t){var i,s,h=t.x,a=t.y;if(a*l.R2D>90&&a*l.R2D<-90&&h*l.R2D>180&&h*l.R2D<-180)return null;if(Math.abs(Math.abs(a)-l.HALF_PI)<=l.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(l.FORTPI+.5*a));else{var n=Math.sin(a),u=r.default(this.e,a,n);i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0-this.a*this.k0*Math.log(u)}return t.x=i,t.y=s,t}function f(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=l.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var r=Math.exp(-a/(this.a*this.k0));if(-9999===(s=n.default(this.e,r)))return null}return i=e.default(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=u,s.forward=o,s.inverse=f,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:u,forward:o,inverse:f,names:s.names}},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e,t,n){var r=e*t;return n/Math.sqrt(1-r*r)}},\n",
       "      function _(e,t,u){Object.defineProperty(u,\"__esModule\",{value:!0});const n=e(1),a=e(39),f=n.__importDefault(e(51));u.default=function(e){return Math.abs(e)<=a.SPI?e:e-f.default(e)*a.TWO_PI}},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.default=function(e){return e<0?-1:1}},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=t(39);n.default=function(t,e,n){var o=t*n,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(a.HALF_PI-e))/o}},\n",
       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(39);e.default=function(t,a){for(var e,r,o=.5*t,u=n.HALF_PI-2*Math.atan(a),f=0;f<=15;f++)if(e=t*Math.sin(u),u+=r=n.HALF_PI-2*Math.atan(a*Math.pow((1-e)/(1+e),o))-u,Math.abs(r)<=1e-10)return u;return-9999}},\n",
       "      function _(e,n,i){function t(){}function r(e){return e}Object.defineProperty(i,\"__esModule\",{value:!0}),i.init=t,i.forward=r,i.inverse=r,i.names=[\"longlat\",\"identity\"],i.default={init:t,forward:r,inverse:r,names:i.names}},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),n=e(39),f=a.__importStar(e(56)),u=a.__importDefault(e(42));r.eccentricity=function(e,t,r,a){var f=e*e,u=t*t,i=(f-u)/f,c=0;return a?(f=(e*=1-i*(n.SIXTH+i*(n.RA4+i*n.RA6)))*e,i=0):c=Math.sqrt(i),{es:i,e:c,ep2:(f-u)/u}},r.sphere=function(e,t,r,a,i){if(!e){var c=u.default(f.default,a);c||(c=f.WGS84),e=c.a,t=c.b,r=c.rf}return r&&!t&&(t=(1-1/r)*e),(0===r||Math.abs(e-t)<n.EPSLN)&&(i=!0,t=e),{a:e,b:t,rf:r,sphere:i}}},\n",
       "      function _(e,a,l){Object.defineProperty(l,\"__esModule\",{value:!0});var s={};l.default=s,s.MERIT={a:6378137,rf:298.257,ellipseName:\"MERIT 1983\"},s.SGS85={a:6378136,rf:298.257,ellipseName:\"Soviet Geodetic System 85\"},s.GRS80={a:6378137,rf:298.257222101,ellipseName:\"GRS 1980(IUGG, 1980)\"},s.IAU76={a:6378140,rf:298.257,ellipseName:\"IAU 1976\"},s.airy={a:6377563.396,b:6356256.91,ellipseName:\"Airy 1830\"},s.APL4={a:6378137,rf:298.25,ellipseName:\"Appl. Physics. 1965\"},s.NWL9D={a:6378145,rf:298.25,ellipseName:\"Naval Weapons Lab., 1965\"},s.mod_airy={a:6377340.189,b:6356034.446,ellipseName:\"Modified Airy\"},s.andrae={a:6377104.43,rf:300,ellipseName:\"Andrae 1876 (Den., Iclnd.)\"},s.aust_SA={a:6378160,rf:298.25,ellipseName:\"Australian Natl & S. Amer. 1969\"},s.GRS67={a:6378160,rf:298.247167427,ellipseName:\"GRS 67(IUGG 1967)\"},s.bessel={a:6377397.155,rf:299.1528128,ellipseName:\"Bessel 1841\"},s.bess_nam={a:6377483.865,rf:299.1528128,ellipseName:\"Bessel 1841 (Namibia)\"},s.clrk66={a:6378206.4,b:6356583.8,ellipseName:\"Clarke 1866\"},s.clrk80={a:6378249.145,rf:293.4663,ellipseName:\"Clarke 1880 mod.\"},s.clrk58={a:6378293.645208759,rf:294.2606763692654,ellipseName:\"Clarke 1858\"},s.CPM={a:6375738.7,rf:334.29,ellipseName:\"Comm. des Poids et Mesures 1799\"},s.delmbr={a:6376428,rf:311.5,ellipseName:\"Delambre 1810 (Belgium)\"},s.engelis={a:6378136.05,rf:298.2566,ellipseName:\"Engelis 1985\"},s.evrst30={a:6377276.345,rf:300.8017,ellipseName:\"Everest 1830\"},s.evrst48={a:6377304.063,rf:300.8017,ellipseName:\"Everest 1948\"},s.evrst56={a:6377301.243,rf:300.8017,ellipseName:\"Everest 1956\"},s.evrst69={a:6377295.664,rf:300.8017,ellipseName:\"Everest 1969\"},s.evrstSS={a:6377298.556,rf:300.8017,ellipseName:\"Everest (Sabah & Sarawak)\"},s.fschr60={a:6378166,rf:298.3,ellipseName:\"Fischer (Mercury Datum) 1960\"},s.fschr60m={a:6378155,rf:298.3,ellipseName:\"Fischer 1960\"},s.fschr68={a:6378150,rf:298.3,ellipseName:\"Fischer 1968\"},s.helmert={a:6378200,rf:298.3,ellipseName:\"Helmert 1906\"},s.hough={a:6378270,rf:297,ellipseName:\"Hough\"},s.intl={a:6378388,rf:297,ellipseName:\"International 1909 (Hayford)\"},s.kaula={a:6378163,rf:298.24,ellipseName:\"Kaula 1961\"},s.lerch={a:6378139,rf:298.257,ellipseName:\"Lerch 1979\"},s.mprts={a:6397300,rf:191,ellipseName:\"Maupertius 1738\"},s.new_intl={a:6378157.5,b:6356772.2,ellipseName:\"New International 1967\"},s.plessis={a:6376523,rf:6355863,ellipseName:\"Plessis 1817 (France)\"},s.krass={a:6378245,rf:298.3,ellipseName:\"Krassovsky, 1942\"},s.SEasia={a:6378155,b:6356773.3205,ellipseName:\"Southeast Asia\"},s.walbeck={a:6376896,b:6355834.8467,ellipseName:\"Walbeck\"},s.WGS60={a:6378165,rf:298.3,ellipseName:\"WGS 60\"},s.WGS66={a:6378145,rf:298.25,ellipseName:\"WGS 66\"},s.WGS7={a:6378135,rf:298.26,ellipseName:\"WGS 72\"},l.WGS84=s.WGS84={a:6378137,rf:298.257223563,ellipseName:\"WGS 84\"},s.sphere={a:6370997,b:6370997,ellipseName:\"Normal Sphere (r=6370997)\"}},\n",
       "      function _(e,a,s){Object.defineProperty(s,\"__esModule\",{value:!0});var t={};s.default=t,t.wgs84={towgs84:\"0,0,0\",ellipse:\"WGS84\",datumName:\"WGS84\"},t.ch1903={towgs84:\"674.374,15.056,405.346\",ellipse:\"bessel\",datumName:\"swiss\"},t.ggrs87={towgs84:\"-199.87,74.79,246.62\",ellipse:\"GRS80\",datumName:\"Greek_Geodetic_Reference_System_1987\"},t.nad83={towgs84:\"0,0,0\",ellipse:\"GRS80\",datumName:\"North_American_Datum_1983\"},t.nad27={nadgrids:\"@conus,@alaska,@ntv2_0.gsb,@ntv1_can.dat\",ellipse:\"clrk66\",datumName:\"North_American_Datum_1927\"},t.potsdam={towgs84:\"606.0,23.0,413.0\",ellipse:\"bessel\",datumName:\"Potsdam Rauenberg 1950 DHDN\"},t.carthage={towgs84:\"-263.0,6.0,431.0\",ellipse:\"clark80\",datumName:\"Carthage 1934 Tunisia\"},t.hermannskogel={towgs84:\"653.0,-212.0,449.0\",ellipse:\"bessel\",datumName:\"Hermannskogel\"},t.osni52={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"airy\",datumName:\"Irish National\"},t.ire65={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"mod_airy\",datumName:\"Ireland 1965\"},t.rassadiran={towgs84:\"-133.63,-157.5,-158.62\",ellipse:\"intl\",datumName:\"Rassadiran\"},t.nzgd49={towgs84:\"59.47,-5.04,187.44,0.47,-0.1,1.024,-4.5993\",ellipse:\"intl\",datumName:\"New Zealand Geodetic Datum 1949\"},t.osgb36={towgs84:\"446.448,-125.157,542.060,0.1502,0.2470,0.8421,-20.4894\",ellipse:\"airy\",datumName:\"Airy 1830\"},t.s_jtsk={towgs84:\"589,76,480\",ellipse:\"bessel\",datumName:\"S-JTSK (Ferro)\"},t.beduaram={towgs84:\"-106,-87,188\",ellipse:\"clrk80\",datumName:\"Beduaram\"},t.gunung_segara={towgs84:\"-403,684,41\",ellipse:\"bessel\",datumName:\"Gunung Segara Jakarta\"},t.rnb72={towgs84:\"106.869,-52.2978,103.724,-0.33657,0.456955,-1.84218,1\",ellipse:\"intl\",datumName:\"Reseau National Belge 1972\"}},\n",
       "      function _(a,m,_){Object.defineProperty(_,\"__esModule\",{value:!0});const t=a(39);_.default=function(a,m,_,u,d,p){var r={};return r.datum_type=void 0===a||\"none\"===a?t.PJD_NODATUM:t.PJD_WGS84,m&&(r.datum_params=m.map(parseFloat),0===r.datum_params[0]&&0===r.datum_params[1]&&0===r.datum_params[2]||(r.datum_type=t.PJD_3PARAM),r.datum_params.length>3&&(0===r.datum_params[3]&&0===r.datum_params[4]&&0===r.datum_params[5]&&0===r.datum_params[6]||(r.datum_type=t.PJD_7PARAM,r.datum_params[3]*=t.SEC_TO_RAD,r.datum_params[4]*=t.SEC_TO_RAD,r.datum_params[5]*=t.SEC_TO_RAD,r.datum_params[6]=r.datum_params[6]/1e6+1))),r.a=_,r.b=u,r.es=d,r.ep2=p,r}},\n",
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       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),c=s.__importStar(e(23)),l=s.__importStar(e(18)),i=e(20),h=e(12);function o(e,t,a){e.moveTo(0,a+.5),e.lineTo(t,a+.5),e.stroke()}function r(e,t,a){e.moveTo(a+.5,0),e.lineTo(a+.5,t),e.stroke()}function n(e,t){e.moveTo(0,t),e.lineTo(t,0),e.stroke(),e.moveTo(0,0),e.lineTo(t,t),e.stroke()}function _(e,t,a,s){const c=a,l=c/2,i=l/2,h=function(e){const t=document.createElement(\"canvas\");return t.width=e,t.height=e,t}(a),_=h.getContext(\"2d\");switch(_.strokeStyle=t,_.lineCap=\"square\",_.fillStyle=t,_.lineWidth=s,e){case\" 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a=.1*t,s=l+e*a*Math.cos(a),c=l+e*a*Math.sin(a);_.lineTo(s,c)}_.stroke();break;case\"/\":case\"right_diagonal_line\":_.moveTo(.5-i,c),_.lineTo(i+.5,0),_.stroke(),_.moveTo(i+.5,c),_.lineTo(3*i+.5,0),_.stroke(),_.moveTo(3*i+.5,c),_.lineTo(5*i+.5,0),_.stroke(),_.stroke();break;case\"\\\\\":case\"left_diagonal_line\":_.moveTo(i+.5,c),_.lineTo(.5-i,0),_.stroke(),_.moveTo(3*i+.5,c),_.lineTo(i+.5,0),_.stroke(),_.moveTo(5*i+.5,c),_.lineTo(3*i+.5,0),_.stroke(),_.stroke();break;case\"x\":case\"diagonal_cross\":n(_,c);break;case\",\":case\"right_diagonal_dash\":_.moveTo(i+.5,3*i+.5),_.lineTo(3*i+.5,i+.5),_.stroke();break;case\"`\":case\"left_diagonal_dash\":_.moveTo(i+.5,i+.5),_.lineTo(3*i+.5,3*i+.5),_.stroke();break;case\"v\":case\"horizontal_wave\":_.moveTo(0,i),_.lineTo(l,3*i),_.lineTo(c,i),_.stroke();break;case\">\":case\"vertical_wave\":_.moveTo(i,0),_.lineTo(3*i,l),_.lineTo(i,c),_.stroke();break;case\"*\":case\"criss_cross\":n(_,c),o(_,c,l),r(_,c,l)}return h}class u{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e){for(const t of this.attrs){const a=this.obj.properties[this.prefix+t];if(void 0!==a.spec.value)this.cache[t]=a.spec.value;else{if(!(null!=e&&a instanceof l.VectorSpec))throw new Error(\"source is required with a vectorized visual property\");this.cache[t+\"_array\"]=a.array(e)}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}get_array(e){const t=this.cache[e+\"_array\"];return null!=this.all_indices?h.map(this.all_indices,e=>t[e]):t}set_vectorize(e,t){null!=this.all_indices?this._set_vectorize(e,this.all_indices[t]):this._set_vectorize(e,t)}}a.ContextProperties=u,u.__name__=\"ContextProperties\";class p extends u{set_value(e){e.strokeStyle=this.line_color.value(),e.globalAlpha=this.line_alpha.value(),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.setLineDash(this.line_dash.value()),e.setLineDashOffset(this.line_dash_offset.value())}get doit(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)}_set_vectorize(e,t){this.cache_select(\"line_color\",t),e.strokeStyle=this.cache.line_color,this.cache_select(\"line_alpha\",t),e.globalAlpha=this.cache.line_alpha,this.cache_select(\"line_width\",t),e.lineWidth=this.cache.line_width,this.cache_select(\"line_join\",t),e.lineJoin=this.cache.line_join,this.cache_select(\"line_cap\",t),e.lineCap=this.cache.line_cap,this.cache_select(\"line_dash\",t),e.setLineDash(this.cache.line_dash),this.cache_select(\"line_dash_offset\",t),e.setLineDashOffset(this.cache.line_dash_offset)}color_value(){return i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n",
       "      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].level<this._log_level.level||this._log_level.level===g.OFF.level?this[e]=function(){}:this[e]=r(e,l)}}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function r(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function i(e){const l=o.logger.level;return n.isString(e)&&null==g.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(\"[bokeh] valid log levels are: \"+g.levels.join(\", \"))):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new s(\"trace\",0),g.DEBUG=new s(\"debug\",1),g.INFO=new s(\"info\",2),g.WARN=new s(\"warn\",6),g.ERROR=new s(\"error\",7),g.FATAL=new s(\"fatal\",8),g.OFF=new s(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=i,o.with_log_level=function(e,l){const o=i(e);try{l()}finally{i(o)}}},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-shading {\\n  position: absolute;\\n  display: block;\\n  border: 1px dashed green;\\n}\\n\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(31),n=t(75),r=t(76),o=t(23),_=i.__importStar(t(18)),l=t(10);class h extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;n<r;n++){const r=Math.PI/2+l.atan2([i[0][n],i[1][n]],[a[0][n],a[1][n]]);t.save(),t.translate(a[0][n],a[1][n]),t.rotate(r),\"render\"==e?s.render(t,n):\"clip\"==e&&s.clip(t,n),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=h,h.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=h,this.mixins(o.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n",
       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n",
       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function m(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,m,f]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<m;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=m;class f extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const e in t)s[e]=h(s[e],t[e],n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=f,f.__name__=\"ColumnDataSource\",f.init_ColumnDataSource()},\n",
       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(78),i=t(14),r=t(72),c=t(80),l=a.__importStar(t(18)),o=t(8),u=t(9),h=t(17),g=t(79),_=t(102);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let n=this.data[t];return null==n?this.data[t]=n=[]:o.isArray(n)||(this.data[t]=n=Array.from(n)),n}static init_ColumnarDataSource(){this.define({selection_policy:[l.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n",
       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e<t;e++)this.decimated.push(e*l);const n=Date.now()-i;c.logger.debug(`${this.glyph.model.type} ${this.model}): set_data finished in ${n}ms`),this.set_data_timestamp=Date.now(),e&&this.request_render()}get has_webgl(){return this.glyph.has_webgl}render(){if(!this.model.visible)return;const e=Date.now(),t=this.has_webgl;this.glyph.map_data();const i=Date.now()-e,s=Date.now();let l=this.glyph.mask_data(this.all_indices);l.length===this.all_indices.length&&(l=g.range(0,this.all_indices.length));const _=Date.now()-s,{ctx:r}=this.layer;r.save();const{selected:p}=this.model.data_source;let y;y=!p||p.is_empty()?[]:this.glyph instanceof n.LineView&&p.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(l):p.indices;const{inspected:u}=this.model.data_source,m=new Set((()=>!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in       : ${i}ms`),c.logger.trace(` - mask_data finished in      : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in  : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.get_view=()=>this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;e<t;e++)(_[e]<=n&&n<=_[e+1]||_[e+1]<=n&&n<=_[e])&&(s.add_to_selected_glyphs(this.model),s.get_view=()=>this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y[t];!isNaN(s+i)&&isFinite(s+i)&&e.push({x0:s,y0:i,x1:s,y1:i,i:t})}return new i.SpatialIndex(e)}scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}}s.XYGlyphView=_,_.__name__=\"XYGlyphView\";class h extends n.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.coords([[\"x\",\"y\"]])}}s.XYGlyph=h,h.__name__=\"XYGlyph\",h.init_XYGlyph()},\n",
       "      function _(n,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=n(1).__importDefault(n(86)),s=n(88);class r{constructor(n){if(this.points=n,this.index=null,n.length>0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n",
       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,x)}!function t(s,i,e,h,n,o){if(Math.floor(h/o)>=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]<r);do{d--}while(s[d]>r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];i<this._boxes[r]||(e<this._boxes[r+1]||t>this._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i<e;i+=4){const e=0|this._indices[i>>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t<s?s-t:t<=i?0:t-i}function r(t,s){let i=0,e=s.length-1;for(;i<e;){const h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,x=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),(x<<1|d)>>>0}i.default=n},\n",
       "      function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h<i;){let s=1+(h<<1);const i=s+1;let e=this.ids[s],l=this.values[s];const n=this.values[i];if(i<this.length&&n<l&&(s=i,e=this.ids[i],l=n),l>=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=s,s.__name__=\"BBox\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=i.__importStar(t(18)),r=i.__importStar(t(88)),a=i.__importStar(t(32)),_=i.__importStar(t(70)),l=t(67),o=t(71),h=t(72),c=t(12),d=t(17),p=t(8),y=t(83),u=t(90),g=t(79);class x extends l.View{constructor(){super(...arguments),this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}initialize(){super.initialize(),this.visuals=new _.Visuals(this.model)}async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){let s=null;try{s=await Promise.resolve().then(()=>i.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0<t.x0&&(t.x0=s.x0),s.x1>t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0<t.y0&&(t.y0=e.y0),e.y1>t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a<r;a++){const[r,_]=this.map_to_screen(t[e][a],t[s][a]);t[i][a]=r,t[n][a]=_}}else[t[i],t[n]]=this.map_to_screen(t[e],t[s])}this._map_data()}_map_data(){}map_to_screen(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)}}s.GlyphView=x,x.__name__=\"GlyphView\";class m extends o.Model{constructor(t){super(t)}static init_Glyph(){this.prototype._coords=[],this.internal({x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]})}static coords(t){const e=this.prototype._coords.concat(t);this.prototype._coords=e;const s={};for(const[e,i]of t)s[e]=[n.CoordinateSpec],s[i]=[n.CoordinateSpec];this.define(s)}}s.Glyph=m,m.__name__=\"Glyph\",m.init_Glyph()},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(91),r=s.__importStar(t(18)),a=t(12),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 0!==i?i:[];a.set(e,[...t,n])}let p=s,g=0;for(const[t,s]of a){const i=s.length,[a,l]=c(s,n,p);g+=l;const u=o.sum(s.map(t=>a.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n",
       "      function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];s<n!=_<n&&r+(n-s)/(_-s)*(c-r)<t&&(o=!o),r=c,s=_}return o},e.point_in_ellipse=function(t,n,e,i,o,r,s){return((Math.cos(e)/o)**2+(Math.sin(e)/i)**2)*(t-r)**2+2*Math.cos(e)*Math.sin(e)*((1/o)**2-(1/i)**2)*(t-r)*(n-s)+((Math.cos(e)/i)**2+(Math.sin(e)/o)**2)*(n-s)**2<=1},e.dist_2_pts=o,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,o,r,s,u){const c=(u-r)*(e-t)-(s-o)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-r,l=t-o;const y=(e-t)*_-(i-n)*l;return _=((s-o)*_-(u-r)*l)/c,l=y/c,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t<s;t++){const s=this._x1[t],i=this._x2[t],r=this._y[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:Math.min(s,i),y0:r,x1:Math.max(s,i),y1:r,i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n",
       "      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y1[t],r=this._y2[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:s,y0:Math.min(i,r),x1:s,y1:Math.max(i,r),i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n",
       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this.indices.length;i++)this.indices_map[this.indices[i]]=i}convert_selection_from_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n",
       "      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);for(let t=this._upper_sx.length-1;t>=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let t=0,s=this._upper_sx.length;t<s;t++)e.lineTo(this._upper_sx[t],this._upper_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}s.BandView=n,n.__name__=\"BandView\";class h extends _.Annotation{constructor(e){super(e)}static init_Band(){this.prototype.default_view=n,this.mixins([l.Line,l.Fill]),this.define({lower:[a.DistanceSpec],upper:[a.DistanceSpec],base:[a.DistanceSpec],dimension:[a.Dimension,\"height\"],source:[a.Instance,()=>new o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}e.BoxAnnotationView=h,h.__name__=\"BoxAnnotationView\";class _ extends n.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=h,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({left:t,right:i,top:e,bottom:s}){this.setv({left:t,right:i,top:e,bottom:s,screen:!0},{silent:!0}),this.data_update.emit()}}e.BoxAnnotation=_,_.__name__=\"BoxAnnotation\",_.init_BoxAnnotation()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(31),s=t(109),r=t(113),l=t(115),n=t(120),_=t(130),h=t(131),m=o.__importStar(t(23)),d=o.__importStar(t(18)),c=o.__importStar(t(132)),u=t(9),p=t(12),g=t(8),f=t(11);class b extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.visible.change,()=>this.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],l=this.model.label_standoff+this._tick_extent(),[n,_]=[l*i,l*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+n,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(null==this.model.color_mapper.low||null==this.model.color_mapper.high||u.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=u.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.low,this.model.color_mapper.high],l=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),n=l.major,_=l.minor,h=[[],[]],m=[[],[]];for(let t=0,e=n.length;t<e;t++)n[t]<s||n[t]>r||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n",
       "      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n",
       "      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n",
       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n",
       "      function _(o,n,l){Object.defineProperty(l,\"__esModule\",{value:!0});const e=o(116),t=o(12);class i extends e.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,n,l,e){const{nan_color:i,low_color:r,high_color:s}=e,c=null!=this.low?this.low:t.min(o),h=null!=this.high?this.high:t.max(o),u=l.length-1,a=1/(h-c),_=1/l.length;for(let e=0,t=o.length;e<t;e++){const t=o[e];if(isNaN(t)){n[e]=i;continue}if(t==h){n[e]=l[u];continue}const p=(t-c)*a,f=Math.floor(p/_);n[e]=f<0?null!=r?r:l[0]:f>u?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n",
       "      function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=i,i.__name__=\"Scale\",i.init_Scale()},\n",
       "      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(124);t.CustomJSTransform=e.CustomJSTransform;var a=r(125);t.Dodge=a.Dodge;var n=r(126);t.Interpolator=n.Interpolator;var p=r(127);t.Jitter=p.Jitter;var l=r(128);t.LinearInterpolator=l.LinearInterpolator;var v=r(129);t.StepInterpolator=v.StepInterpolator;var s=r(119);t.Transform=s.Transform},\n",
       "      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(119),a=n.__importStar(t(18)),o=t(17),u=t(24);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1),o=e(119),i=e(90),s=n.__importStar(e(18)),a=e(8);class c extends o.Transform{constructor(e){super(e)}static init_Dodge(){this.define({value:[s.Number,0],range:[s.Instance]})}v_compute(e){let t;if(this.range instanceof i.FactorRange)t=this.range.v_synthetic(e);else{if(!a.isArrayableOf(e,a.isNumber))throw new Error(\"unexpected\");t=e}const r=new Float64Array(t.length);for(let e=0;e<t.length;e++){const n=t[e];r[e]=this._compute(n)}return r}compute(e){if(this.range instanceof i.FactorRange)return this._compute(this.range.synthetic(e));if(a.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}_compute(e){return e+this.value}}r.Dodge=c,c.__name__=\"Dodge\",c.init_Dodge()},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(119),n=s.__importStar(t(18)),i=t(9),a=t(8);class h extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[n.Any],y:[n.Any],data:[n.Any],clip:[n.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;r<t.length;r++){const s=t[r];e[r]=this.compute(s)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(a.isString(this.x)&&a.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!i.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!i.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!a.isArray(this.x)||!a.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const s=[];for(const t in e)s.push({x:e[t],y:r[t]});t?s.sort((t,e)=>t.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.x<e.x?-1:t.x==e.x?0:1),this._x_sorted=[],this._y_sorted=[];for(const{x:t,y:e}of s)this._x_sorted.push(t),this._y_sorted.push(e);this._sorted_dirty=!1}}r.Interpolator=h,h.__name__=\"Interpolator\",h.init_Interpolator()},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=t(119),s=t(90),o=t(8),u=i.__importStar(t(18)),a=i.__importStar(t(10));class h extends n.Transform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[u.Number,0],width:[u.Number,1],distribution:[u.Distribution,\"uniform\"],range:[u.Instance]}),this.internal({previous_values:[u.Array]})}v_compute(t){if(null!=this.previous_values&&this.previous_values.length==t.length)return this.previous_values;let e;if(this.range instanceof s.FactorRange)e=this.range.v_synthetic(t);else{if(!o.isArrayableOf(t,o.isNumber))throw new Error(\"unexpected\");e=t}const r=new Float64Array(e.length);for(let t=0;t<e.length;t++){const i=e[t];r[t]=this._compute(i)}return this.previous_values=r,r}compute(t){if(this.range instanceof s.FactorRange)return this._compute(this.range.synthetic(t));if(o.isNumber(t))return this._compute(t);throw new Error(\"unexpected\")}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}r.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(126);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(126),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n",
       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,s]=this._compute_state(),n=(t-o)/e;return Math.exp(a*n+s)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[s,n]=this._get_safe_factor(t,e);let r,l;return 0==s?(r=Math.log(n),l=0):(r=Math.log(n)-Math.log(s),l=Math.log(s)),[a,o,r,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(91),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(68),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(134),l=e(68),n=s.__importStar(e(23)),o=s.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:t,ascent:i}=e.measureText(this.model.text);return{width:t,height:i}}render(){if(this.model.visible||\"css\"!=this.model.render_mode||l.undisplay(this.el),!this.model.visible)return;let e;switch(this.model.angle_units){case\"rad\":e=-this.model.angle;break;case\"deg\":e=-this.model.angle*Math.PI/180}const t=null!=this.panel?this.panel:this.plot_view.frame,i=this.plot_view.frame.xscales[this.model.x_range_name],s=this.plot_view.frame.yscales[this.model.y_range_name];let a=\"data\"==this.model.x_units?i.compute(this.model.x):t.xview.compute(this.model.x),n=\"data\"==this.model.y_units?s.compute(this.model.y):t.yview.compute(this.model.y);a+=this.model.x_offset,n-=this.model.y_offset,(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,n,e)}}i.LabelView=_,_.__name__=\"LabelView\";class r extends a.TextAnnotation{constructor(e){super(e)}static init_Label(){this.prototype.default_view=_,this.mixins([n.Text,[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({x:[o.Number],x_units:[o.SpatialUnits,\"data\"],y:[o.Number],y_units:[o.SpatialUnits,\"data\"],text:[o.String],angle:[o.Angle,0],angle_units:[o.AngleUnits,\"rad\"],x_offset:[o.Number,0],y_offset:[o.Number,0],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=r,r.__name__=\"Label\",r.init_Label()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(31),a=e(68),n=i.__importStar(e(18)),o=e(132),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&this.plot_view.canvas_view.add_overlay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;l<o;l++)t(e,l,this._text[l],s[l]+this._x_offset[l],i[l]-this._y_offset[l],this._angle[l])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,l,o){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,l),t.rotate(o),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,l,o){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=l+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",o&&(a.style.transform=`rotate(${o}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends l.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n",
       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;s<l;s++){let l,o;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(l=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");o=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(l,o)):n.lineTo(l,o)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(31),l=n.__importStar(e(23)),o=n.__importStar(e(18));class r extends s.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return e<i?\"right\":\"left\";case\"vertical\":return s<l?\"below\":\"above\";default:return t}}s.compute_side=c;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),o.undisplay(this.el)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n",
       "      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n",
       "      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n",
       "      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.model.lower_head.render(e,s),e.restore();if(null!=this.model.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.model.upper_head.render(e,s),e.restore()}}s.WhiskerView=_,_.__name__=\"WhiskerView\";class l extends r.Annotation{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=_,this.mixins(n.LineVector),this.define({lower:[h.DistanceSpec],lower_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n",
       "      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;t<a.length;t++){const i=Math.round(a[t]+n*r),s=Math.round(l[t]+o*_);e.lineTo(i,s)}e.stroke()}_draw_major_ticks(e,t,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(e,i.major,s,a,l)}_draw_minor_ticks(e,t,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(e,i.minor,s,a,l)}_draw_major_labels(e,t,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=t.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(e,a,s,l,this.panel.side,n,o)}_draw_axis_label(e,t,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;switch(this.panel.side){case\"above\":s=this.panel._hcenter.value,a=this.panel._bottom.value;break;case\"below\":s=this.panel._hcenter.value,a=this.panel._top.value;break;case\"left\":s=this.panel._right.value,a=this.panel._vcenter.value;break;case\"right\":s=this.panel._left.value,a=this.panel._vcenter.value;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const l=[[s],[a]],n=t.tick+o.sum(t.tick_label)+this.model.axis_label_standoff,r=this.visuals.axis_label_text;this._draw_oriented_labels(e,[this.model.axis_label],l,\"parallel\",this.panel.side,n,r,\"screen\")}_draw_ticks(e,t,i,s,a){if(!a.doit)return;const[l,n]=t,[o,r]=this.plot_view.map_to_screen(l,n,this.model.x_range_name,this.model.y_range_name),[_,h]=this.normals,[c,m]=this.offsets,[d,u]=[_*(c-i),h*(m-i)],[b,x]=[_*(c+s),h*(m+s)];a.set_value(e);for(let t=0;t<o.length;t++){const i=Math.round(o[t]+b),s=Math.round(r[t]+x),a=Math.round(o[t]+d),l=Math.round(r[t]+u);e.beginPath(),e.moveTo(i,s),e.lineTo(a,l),e.stroke()}}_draw_oriented_labels(e,t,i,s,a,l,n,o=\"data\"){if(!n.doit||0==t.length)return;let _,h,c,m;if(\"screen\"==o)[_,h]=i,[c,m]=[0,0];else{const[e,t]=i;[_,h]=this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name),[c,m]=this.offsets}const[d,u]=this.normals,b=d*(c+l),x=u*(m+l);let f;n.set_value(e),this.panel.apply_label_text_heuristics(e,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+b),a=Math.round(h[i]+x);e.translate(s,a),e.rotate(f),e.fillText(t[i],0,0),e.rotate(-f),e.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const e=this.model.axis_label_standoff,t=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,e,t)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const e=this.tick_coords.major,t=this.compute_labels(e[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(t,i,this.panel.side,s,a)]}_oriented_labels_extent(e,t,i,s,a){if(0==e.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(t)?(n=1,o=this.panel.get_label_angle_heuristic(t)):(n=2,o=-t),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let t=0;t<e.length;t++){const s=1.1*l.measureText(e[t]).width,a=.9*l.measureText(e[t]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i<e.length;i++)e[i]in this.model.major_label_overrides&&(t[i]=this.model.major_label_overrides[e[i]]);return t}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:e}=this.plot_view;let[t,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel._top.value-e._bottom.value);break;case\"above\":i=h(this.panel._bottom.value-e._top.value);break;case\"right\":t=h(this.panel._left.value-e._right.value);break;case\"left\":t=h(this.panel._right.value-e._left.value)}return[t,i]}get ranges(){const e=this.dimension,t=(e+1)%2,{frame:i}=this.plot_view,s=[i.x_ranges[this.model.x_range_name],i.y_ranges[this.model.y_range_name]];return[s[e],s[t]]}get computed_bounds(){const[e]=this.ranges,t=this.model.bounds,i=[e.min,e.max];if(\"auto\"==t)return[e.min,e.max];if(r.isArray(t)){let e,s;const[a,l]=t,[n,o]=i;return h(a-l)>h(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n",
       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n",
       "      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n",
       "      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(114),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n",
       "      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(150);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(157),a=e(158),r=e(163);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n",
       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n",
       "      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o<a&&!(f[o][n]<=r);o++);if((u=f[o]).rules){for(s=t[u.rules],c=T+1;c>=T-g;--c)for(o=0,a=s.length;o<a;o++)s[o].from<=c&&c<=s[o].to?h.push(e(u,s[o],c)):s[o].to<c&&1==g&&(g=c-s[o].to);for(h.sort((function(e,t){return e.sort-t.sort})),o=0,a=h.length;o<a;o++)r>=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o<r.save?null:n-r.offset-r.save);var r,o}function o(e,t,o){var a,i=+(o[1]+1),s=o[2]*i,c=u.indexOf(o[3].toLowerCase());if(c>9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var 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e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t<e.length;t++)if(l=e[t],Array.isArray(l))t||isNaN(l[1])?l.splice.apply(e,[t--,1].concat(l)):s=l;else if(isNaN(l)){if(\"string\"==(u=typeof 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       "      function _(r,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=r(1),i=t.__importStar(r(161)),u=r(162),a=t.__importDefault(r(159)),f=r(24),o=r(8);function l(r,...n){return u.sprintf(r,...n)}function s(r,n,e){if(o.isNumber(r)){return l((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return\"\"+r}function c(r,n,t){if(null==n)return s;if(null!=t&&r in t){const n=t[r];if(o.isString(n)){if(n in e.DEFAULT_FORMATTERS)return e.DEFAULT_FORMATTERS[n];throw new Error(`Unknown tooltip field formatter type '${n}'`)}return function(r,e,t){return n.format(r,e,t)}}return e.DEFAULT_FORMATTERS.numeral}function m(r,n,e,t){if(\"$\"==r[0]){return function(r,n){if(r in n)return n[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),t)}return function(r,n,e){const t=n.get_column(r);if(null==t)return null;if(o.isNumber(e))return t[e];const i=t[e.index];if(o.isTypedArray(i)||o.isArray(i)){if(o.isArray(i[0])){return i[e.dim2][e.dim1]}return i[e.flat_index]}return i}(r.substring(1).replace(/[{}]/g,\"\"),n,e)}e.DEFAULT_FORMATTERS={numeral:(r,n,e)=>i.format(r,n),datetime:(r,n,e)=>a.default(r,n),printf:(r,n,e)=>l(n,r)},e.sprintf=l,e.basic_formatter=s,e.get_formatter=c,e.get_value=m,e.replace_placeholders=function(r,n,e,t,i={}){return r=(r=r.replace(/@\\$name/g,r=>`@{${i.name}}`)).replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,(r,u,a)=>{const o=m(u,n,e,i);if(null==o)return\"\"+f.escape(\"???\");if(\"safe\"==a)return\"\"+o;const l=c(u,a,t);return\"\"+f.escape(l(o,a,i))})}},\n",
       "      function _(e,n,t){\n",
       "      /*!\n",
       "           * numbro.js\n",
       "           * version : 1.6.2\n",
       "           * author : Företagsplatsen AB\n",
       "           * license : MIT\n",
       "           * http://www.foretagsplatsen.se\n",
       "           */\n",
       "      var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n<e;n++)t+=\"0\";return t}function f(e,n,t,r){var i,a,o=Math.pow(10,n);return a=e.toFixed(0).search(\"e\")>-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ 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Array(v-x.length+1).join(\"0\")+x),y>-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")<n.indexOf(\"-\")?(B&&R?\"(\":\"\")+(P&&R||!B&&R?\"-\":\"\"):(P&&R||!B&&R?\"-\":\"\")+(B&&R?\"(\":\"\"))+(!R&&E&&0!==e?\"+\":\"\")+x+I+(L||\"\")+(k&&!r?k:\"\")+(C||\"\")+(B&&R?\")\":\"\")+w}function p(e,n){i[e]=n}function m(e){o=e;var n=i[e].defaults;n&&n.format&&r.defaultFormat(n.format),n&&n.currencyFormat&&r.defaultCurrencyFormat(n.currencyFormat)}(r=function(e){return r.isNumbro(e)?e=e.value():0===e||void 0===e?e=0:Number(e)||(e=r.fn.unformat(e)),new c(Number(e))}).version=\"1.6.2\",r.isNumbro=function(e){return e instanceof c},r.setLanguage=function(e,n){console.warn(\"`setLanguage` is deprecated since version 1.6.0. Use `setCulture` instead\");var t=e,r=e.split(\"-\")[0],i=null;a[t]||(Object.keys(a).forEach((function(e){i||e.split(\"-\")[0]!==r||(i=e)})),t=i||n||\"en-US\"),m(t)},r.setCulture=function(e,n){var t=e,r=e.split(\"-\")[1],a=null;i[t]||(r&&Object.keys(i).forEach((function(e){a||e.split(\"-\")[1]!==r||(a=e)})),t=a||n||\"en-US\"),m(t)},r.language=function(e,n){if(console.warn(\"`language` is deprecated since version 1.6.0. Use `culture` instead\"),!e)return o;if(e&&!n){if(!a[e])throw new Error(\"Unknown language : \"+e);m(e)}return!n&&a[e]||p(e,n),r},r.culture=function(e,n){if(!e)return o;if(e&&!n){if(!i[e])throw new Error(\"Unknown culture : \"+e);m(e)}return!n&&i[e]||p(e,n),r},r.languageData=function(e){if(console.warn(\"`languageData` is deprecated since version 1.6.0. Use `cultureData` instead\"),!e)return a[o];if(!a[e])throw new Error(\"Unknown language : \"+e);return a[e]},r.cultureData=function(e){if(!e)return i[o];if(!i[e])throw new Error(\"Unknown culture : \"+e);return i[e]},r.culture(\"en-US\",{delimiters:{thousands:\",\",decimal:\".\"},abbreviations:{thousand:\"k\",million:\"m\",billion:\"b\",trillion:\"t\"},ordinal:function(e){var n=e%10;return 1==~~(e%100/10)?\"th\":1===n?\"st\":2===n?\"nd\":3===n?\"rd\":\"th\"},currency:{symbol:\"$\",position:\"prefix\"},defaults:{currencyFormat:\",0000 a\"},formats:{fourDigits:\"0000 a\",fullWithTwoDecimals:\"$ ,0.00\",fullWithTwoDecimalsNoCurrency:\",0.00\"}}),r.languages=function(){return console.warn(\"`languages` is deprecated since version 1.6.0. Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. It has been co-erced to: \",e)),(e=e.trim()).match(/^\\d+$/))return!0;if(\"\"===e)return!1;try{c=r.cultureData(n)}catch(e){c=r.cultureData(r.culture())}return a=c.currency.symbol,l=c.abbreviations,t=c.delimiters.decimal,i=\".\"===c.delimiters.thousands?\"\\\\.\":c.delimiters.thousands,(null===(s=e.match(/^[^\\d]+/))||(e=e.substr(1),s[0]===a))&&((null===(s=e.match(/[^\\d]+$/))||(e=e.slice(0,-1),s[0]===l.thousand||s[0]===l.million||s[0]===l.billion||s[0]===l.trillion))&&(u=new RegExp(i+\"{2}\"),!e.match(/[^\\d.,]/g)&&(!((o=e.split(t)).length>2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n",
       "      function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof Function&&(i=i()),e.numeric_arg.test(o.type)&&\"number\"!=typeof i&&isNaN(i))throw new TypeError(n(\"[sprintf] expecting number but found %T\",i));switch(e.number.test(o.type)&&(u=i>=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n",
       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(110),s=e(164),r=e(165),c=e(168),_=e(169),m=e(167);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(111),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(166),a=t(167),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(111),l=n.__importStar(e(18));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n",
       "      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e<a;e++)if(o[e]=`${r}^${Math.round(Math.log(t[e])/Math.log(r))}`,e>0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n",
       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(110),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(150),s=e(157),o=e(174),a=e(175);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n",
       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(113),i=o.__importStar(r(18)),c=r(32);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=c.wgs84_mercator.inverse([r[n],t.loc]);o[n]=e}else for(let n=0;n<e;n++){const[,e]=c.wgs84_mercator.inverse([t.loc,r[n]]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=s,s.__name__=\"MercatorTickFormatter\",s.init_MercatorTickFormatter()},\n",
       "      function _(r,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=r(1),s=r(109),i=n.__importStar(r(18)),t=r(32);class c extends s.BasicTicker{constructor(r){super(r)}static init_MercatorTicker(){this.define({dimension:[i.LatLon]})}get_ticks_no_defaults(r,o,e,n){if(null==this.dimension)throw new Error(\"MercatorTicker.dimension not configured\");let s,i,c;[r,o]=t.clip_mercator(r,o,this.dimension),\"lon\"===this.dimension?([s,c]=t.wgs84_mercator.inverse([r,e]),[i,c]=t.wgs84_mercator.inverse([o,e])):([c,s]=t.wgs84_mercator.inverse([e,r]),[c,i]=t.wgs84_mercator.inverse([e,o]));const a=super.get_ticks_no_defaults(s,i,e,n),_=[],f=[];if(\"lon\"===this.dimension){for(const r of a.major)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);f.push(o)}}else{for(const r of a.major)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);f.push(o)}}return{major:_,minor:f}}}e.MercatorTicker=c,c.__name__=\"MercatorTicker\",c.init_MercatorTicker()},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});var t=e(177);o.CustomJS=t.CustomJS;var u=e(179);o.OpenURL=u.OpenURL},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),u=t(178),c=n.__importStar(t(18)),r=t(17),a=t(24);class i extends u.Callback{constructor(t){super(t)}static init_CustomJS(){this.define({args:[c.Any,{}],code:[c.String,\"\"]})}get names(){return r.keys(this.args)}get values(){return r.values(this.args)}get func(){const t=a.use_strict(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,i.__name__=\"CustomJS\",i.init_CustomJS()},\n",
       "      function _(e,c,l){Object.defineProperty(l,\"__esModule\",{value:!0});const a=e(71);class n extends a.Model{constructor(e){super(e)}}l.Callback=n,n.__name__=\"Callback\"},\n",
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${e}`)}closePath(){this.__currentDefaultPath&&this.__addPathCommand(\"Z\")}lineTo(t,e){this.__currentPosition={x:t,y:e},this.__currentDefaultPath.indexOf(\"M\")>-1?this.__addPathCommand(`L ${t} ${e}`):this.__addPathCommand(`M ${t} ${e}`)}bezierCurveTo(t,e,s,i,r,n){this.__currentPosition={x:r,y:n},this.__addPathCommand(`C ${t} ${e} ${s} ${i} ${r} ${n}`)}quadraticCurveTo(t,e,s,i){this.__currentPosition={x:s,y:i},this.__addPathCommand(`Q ${t} ${e} ${s} ${i}`)}arcTo(t,e,s,i,r){if(null==this.__currentPosition)return;const n=this.__currentPosition.x,a=this.__currentPosition.y;if(r<0)throw new Error(\"IndexSizeError: The radius provided (\"+r+\") is negative.\");if(n===t&&a===e||t===s&&e===i||0===r)return void this.lineTo(t,e);function o([t,e]){const s=Math.sqrt(t**2+e**2);return[t/s,e/s]}const l=o([n-t,a-e]),h=o([s-t,i-e]);if(l[0]*h[1]==l[1]*h[0])return void this.lineTo(t,e);const 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r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"fill\")}strokeRect(t,e,s,i){const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"stroke\")}__clearCanvas(){const t=this.__closestGroupOrSvg().getAttribute(\"transform\"),e=r(this.__root)[1],s=e.childNodes;for(let t=s.length-1;t>=0;t--)s[t]&&e.removeChild(s[t]);this.__currentElement=e,this.__groupStack=[],t&&this.__addTransform(t)}clearRect(t,e,s,i){if(0===t&&0===e&&s===this.width&&i===this.height)return void this.__clearCanvas();const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i,fill:\"#FFFFFF\"},!0);this.__closestGroupOrSvg().appendChild(r)}createLinearGradient(t,e,s,i){const r=this.__createElement(\"linearGradient\",{id:n(this.__ids),x1:t+\"px\",x2:s+\"px\",y1:e+\"px\",y2:i+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(r),new c(r,this)}createRadialGradient(t,e,s,i,r,a){const o=this.__createElement(\"radialGradient\",{id:n(this.__ids),cx:i+\"px\",cy:r+\"px\",r:a+\"px\",fx:t+\"px\",fy:e+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(o),new c(o,this)}__parseFont(){const t=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),e={style:t[1]||\"normal\",size:t[4]||\"10px\",family:t[6]||\"sans-serif\",weight:t[3]||\"normal\",decoration:t[2]||\"normal\"};return\"underline\"===this.__fontUnderline&&(e.decoration=\"underline\"),null!=this.__fontHref&&(e.href=this.__fontHref),e}__wrapTextLink(t,e){if(t.href){const s=this.__createElement(\"a\");return s.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),s.appendChild(e),s}return e}__applyText(t,e,s,i){const r=this.__parseFont(),n=this.__closestGroupOrSvg(),l=this.__createElement(\"text\",{\"font-family\":r.family,\"font-size\":r.size,\"font-style\":r.style,\"font-weight\":r.weight,\"text-decoration\":r.decoration,x:e,y:s,\"text-anchor\":a(this.textAlign),\"dominant-baseline\":o(this.textBaseline)},!0);l.appendChild(this.__document.createTextNode(t)),this.__currentElement=l,this.__applyStyleToCurrentElement(i),n.appendChild(this.__wrapTextLink(r,l))}fillText(t,e,s){this.__applyText(t,e,s,\"fill\")}strokeText(t,e,s){this.__applyText(t,e,s,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,s,i,r,n=!1){if(i===r)return;(i%=2*Math.PI)===(r%=2*Math.PI)&&(r=(r+2*Math.PI-.001*(n?-1:1))%(2*Math.PI));const a=t+s*Math.cos(r),o=e+s*Math.sin(r),l=t+s*Math.cos(i),h=e+s*Math.sin(i),c=n?0:1;let _=0,u=r-i;u<0&&(u+=2*Math.PI),_=n?u>Math.PI?0:1:u>Math.PI?1:0,this.moveTo(l,h);const d=s,p=s;this.__addPathCommand(`A ${d} ${p} 0 ${_} ${c} ${a} ${o}`),this.__currentPosition={x:a,y:o}}clip(){const t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),s=n(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",s),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",`url(#${s})`),t.appendChild(i),this.__currentElement=i}drawImage(t,...e){let s,i,n,a,o,l,h,c;if(2==e.length)[s,i]=e,o=0,l=0,h=t.width,c=t.height,n=h,a=c;else if(4==e.length)[s,i,n,a]=e,o=0,l=0,h=t.width,c=t.height;else{if(8!==e.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);[o,l,h,c,s,i,n,a]=e}const _=this.__closestGroupOrSvg(),d=\"translate(\"+s+\", \"+i+\")\";if(t instanceof u){const e=t.getSvg().cloneNode(!0);if(e.childNodes&&e.childNodes.length>1){const t=r(e)[0];for(;t.childNodes.length;){const e=r(t)[0].getAttribute(\"id\");this.__ids[e]=e,this.__defs.appendChild(r(t)[0])}const s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n",
       "      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n",
       "      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n",
       "      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n",
       "      function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n",
       "      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n",
       "      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n",
       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;return i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n",
       "      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t<e;t++)i[t]+=o[t]}return i}}n.Stack=s,s.__name__=\"Stack\",s.init_Stack()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(195),o=i.__importStar(e(18));class r extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[o.String],include_zero:[o.Boolean,!1]})}_v_compute(e){const t=new Float64Array(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=r,r.__name__=\"CumSum\",r.init_CumSum()},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(199);t.BooleanFilter=l.BooleanFilter;var i=e(201);t.CustomJSFilter=i.CustomJSFilter;var o=e(200);t.Filter=o.Filter;var F=e(202);t.GroupFilter=F.GroupFilter;var a=e(203);t.IndexFilter=a.IndexFilter},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(200),i=o.__importStar(e(18)),r=e(72),a=e(9),s=e(8);class g extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=this.booleans;return null!=n&&n.length>0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n",
       "      function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n",
       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n",
       "      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n",
       "      function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(161)),a=r(114),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n",
       "      function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(114),o=t(160),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n",
       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const h of t)isNaN(s[h]+i[h]+a[h]+_[h]+r[h]+n[h])||(e.translate(s[h],i[h]),e.rotate(r[h]),e.moveTo(_[h],0),e.beginPath(),e.arc(0,0,_[h],0,n[h],o),e.rotate(n[h]),e.lineTo(a[h],0),e.arc(0,0,a[h],0,-n[h],!o),e.closePath(),e.rotate(-n[h]-r[h]),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,u;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,u=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,o=s+this.max_outer_radius;[a,u]=this.renderer.yscale.r_invert(r,o)}const d=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:u})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),h=(n-a)**2+(_-o)**2;h<=t&&h>=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n",
       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n",
       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0<t&&t<1&&h.push(t);continue}const y=x*x-4*l*a,u=Math.sqrt(y);if(y<0)continue;const d=(-x+u)/(2*a);0<d&&d<1&&h.push(d);const f=(-x-u)/(2*a);0<f&&f<1&&h.push(f)}let a=h.length;const x=a;for(;a--;){const x=h[a],l=1-x,y=l*l*l*t+3*l*l*x*i+3*l*x*x*n+x*x*x*o;_[0][a]=y;const u=l*l*l*e+3*l*l*x*s+3*l*x*x*c+x*x*x*r;_[1][a]=u}return _[0][x]=t,_[1][x]=e,_[0][x+1]=o,_[1][x+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class h extends c.GlyphView{_index_data(){const t=[];for(let e=0,i=this._x0.length;e<i;e++){if(isNaN(this._x0[e]+this._x1[e]+this._y0[e]+this._y1[e]+this._cx0[e]+this._cy0[e]+this._cx1[e]+this._cy1[e]))continue;const[i,s,n,c]=r(this._x0[e],this._y0[e],this._x1[e],this._y1[e],this._cx0[e],this._cy0[e],this._cx1[e],this._cy1[e]);t.push({x0:i,y0:s,x1:n,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:r,scx1:h,scy1:_}){if(this.visuals.line.doit)for(const a of e)isNaN(i[a]+s[a]+n[a]+c[a]+o[a]+r[a]+h[a]+_[a])||(t.beginPath(),t.moveTo(i[a],s[a]),t.bezierCurveTo(o[a],r[a],h[a],_[a],n[a],c[a]),this.visuals.line.set_vectorize(t,a),t.stroke())}draw_legend_for_index(t,e,i){o.generic_line_legend(this.visuals,t,e,i)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class _ extends c.Glyph{constructor(t){super(t)}static init_Bezier(){this.prototype.default_view=h,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx0\",\"cy0\"],[\"cx1\",\"cy1\"]]),this.mixins(s.LineVector)}}i.Bezier=_,_.__name__=\"Bezier\",_.init_Bezier()},\n",
       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(93)),h=t.__importStar(s(18)),d=s(9),_=s(12),l=s(79);class c extends r.XYGlyphView{_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];n.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new l.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const _=new Array(n);_[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:_})}}e.CircleView=c,c.__name__=\"CircleView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=c,this.mixins([a.LineVector,a.FillVector]),this.define({angle:[h.AngleSpec,0],size:[h.DistanceSpec,{units:\"screen\",value:4}],radius:[h.DistanceSpec,void 0,{optional:!0}],radius_dimension:[h.RadiusDimension,\"x\"]})}}e.Circle=o,o.__name__=\"Circle\",o.init_Circle()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(84),l=e(23),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n",
       "      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(216);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n",
       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(214),r=e.__importStar(t(93)),a=t(79);class _ extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:r,_angle:a}){for(const _ of s)isNaN(i[_]+e[_]+h[_]+r[_]+a[_])||(t.beginPath(),t.ellipse(i[_],e[_],h[_]/2,r[_]/2,a[_],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,_),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,_),t.stroke()))}_hit_point(t){let s,i,e,h,_,n,l,d,o,x;const{sx:m,sy:c}=t,w=this.renderer.xscale.invert(m),p=this.renderer.yscale.invert(c);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(l=m-this.max_width,d=m+this.max_width,[s,i]=this.renderer.xscale.r_invert(l,d)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(o=c-this.max_height,x=c+this.max_height,[e,h]=this.renderer.yscale.r_invert(o,x));const y=this.index.indices({x0:s,x1:i,y0:e,y1:h}),u=[];for(const t of y)_=r.point_in_ellipse(m,c,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),_&&([l,d]=this.renderer.xscale.r_compute(w,this._x[t]),[o,x]=this.renderer.yscale.r_compute(p,this._y[t]),n=(l-d)**2+(o-x)**2,u.push([t,n]));return a.Selection.from_hits(u)}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,_=new Array(a);_[r]=(s+e)/2;const n=new Array(a);n[r]=(i+h)/2;const l=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(a),x=new Array(a);l>1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s<t;s++)this.stop[s]=this.sy[s]-this.sh[s]/2,this.sbottom[s]=this.sy[s]+this.sh[s]/2;this._clamp_viewport()}}e.HBarView=_,_.__name__=\"HBarView\";class a extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=_,this.coords([[\"left\",\"y\"]]),this.define({height:[r.NumberSpec],right:[r.CoordinateSpec]}),this.override({left:0})}}e.HBar=a,a.__name__=\"HBar\",a.init_HBar()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),r=t(85),n=t(89),h=t(92),o=t(79);class a extends n.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),h=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:h};case\"bottom_center\":return{x:(s+r)/2,y:h};case\"bottom_right\":return{x:r,y:h};case\"center_left\":return{x:s,y:(n+h)/2};case\"center\":return{x:(s+r)/2,y:(n+h)/2};case\"center_right\":return{x:r,y:(n+h)/2};default:return null}}_index_box(t){const e=[];for(let i=0;i<t;i++){const[t,s,r,n]=this._lrtb(i);!isNaN(t+s+r+n)&&isFinite(t+s+r+n)&&e.push({x0:Math.min(t,s),y0:Math.min(r,n),x1:Math.max(s,t),y1:Math.max(r,n),i})}return new r.SpatialIndex(e)}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const h of e)isNaN(i[h]+r[h]+s[h]+n[h])||(t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()),this.visuals.hatch.doit2(t,h,()=>{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=this.index.indices({x0:s,y0:r,x1:s,y1:r});return new o.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=this.index.indices({x0:r,y0:t,x1:n,y1:t})}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=this.index.indices({x0:t,y0:r,x1:t,y1:n})}return new o.Selection({indices:s})}draw_legend_for_index(t,e,i){h.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=a,a.__name__=\"BoxView\";class c extends n.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=c,c.__name__=\"Box\",c.init_Box()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(89),n=i.__importStar(e(93)),o=i.__importStar(e(18)),a=e(23),l=e(85),h=e(92),c=e(79);class _ extends r.GlyphView{scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}_set_data(){const e=this._q.length,t=this.model.size,s=this.model.aspect_scale;if(this._x=new Float64Array(e),this._y=new Float64Array(e),\"pointytop\"==this.model.orientation)for(let i=0;i<e;i++)this._x[i]=t*Math.sqrt(3)*(this._q[i]+this._r[i]/2)/s,this._y[i]=3*-t/2*this._r[i];else for(let i=0;i<e;i++)this._x[i]=3*t/2*this._q[i],this._y[i]=-t*Math.sqrt(3)*(this._r[i]+this._q[i]/2)*s}_index_data(){let e=this.model.size,t=Math.sqrt(3)*e/2;\"flattop\"==this.model.orientation?([t,e]=[e,t],e*=this.model.aspect_scale):t/=this.model.aspect_scale;const s=[];for(let i=0;i<this._x.length;i++){const r=this._x[i],n=this._y[i];!isNaN(r+n)&&isFinite(r+n)&&s.push({x0:r-t,y0:n-e,x1:r+t,y1:n+e,i})}return new l.SpatialIndex(s)}map_data(){[this.sx,this.sy]=this.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,o=r/2;return[[0,-n,-n,0,n,n],[r,o,-o,-r,-o,o]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,o=r/2;return[[r,o,-o,-r,-o,o],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:o}){for(const a of t)if(!isNaN(s[a]+i[a]+o[a])){e.translate(s[a],i[a]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*o[a],n[t]*o[a]);e.closePath(),e.translate(-s[a],-i[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,a),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,a),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of o)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new c.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=this.index.indices({x0:r,y0:e,x1:n,y1:e})}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:e,y0:r,x1:e,y1:n})}return new c.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,o]=this.renderer.xscale.r_invert(t,s),[a,l]=this.renderer.yscale.r_invert(i,r),h=this.index.indices({x0:n,x1:o,y0:a,y1:l});return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=_,_.__name__=\"HexTileView\";class d extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=_,this.coords([[\"r\",\"q\"]]),this.mixins([a.LineVector,a.FillVector]),this.define({size:[o.Number,1],aspect_scale:[o.Number,1],scale:[o.NumberSpec,1],orientation:[o.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=d,d.__name__=\"HexTile\",d.init_HexTile()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(221),n=e(115),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this._image[t];let s;d.is_NDArray(i)?(s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=r.concat(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(){const e=[];for(let t=0,i=this._x.length;t<i;t++){const[i,s,a,h]=this._lrtb(t);!isNaN(i+s+a+h)&&isFinite(i+s+a+h)&&e.push({x0:i,y0:h,x1:s,y1:a,i:t})}return new _.SpatialIndex(e)}_lrtb(e){const t=this.renderer.xscale.source_range,i=this._x[e],s=t.is_reversed?i-this._dw[e]:i+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],n=a.is_reversed?h-this._dh[e]:h+this._dh[e],[_,r]=i<s?[i,s]:[s,i],[d,l]=h<n?[h,n]:[n,h];return[_,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new Array(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new Array(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),_=this._width[e],r=this._height[e],d=(a-s)/_,l=(h-n)/r;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=_-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*_+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&i!=1/0&&_.image_indices.push(this._image_index(e,s,a));return _}}i.ImageBaseView=l,l.__name__=\"ImageBaseView\";class g extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[h.NumberSpec],dw:[h.DistanceSpec],dh:[h.DistanceSpec],dilate:[h.Boolean,!1],global_alpha:[h.Number,1]})}}i.ImageBase=g,g.__name__=\"ImageBase\",g.init_ImageBase()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(221),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),a=i.__importStar(e(18)),n=e(12),h=e(85),l=e(224);class _ extends r.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s<i;s++){const i=this._url[s];null!=i&&\"\"!=i&&new l.ImageLoader(i,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;e<r;e++)a[e]=this._x[e],h[e]=this._y[e];if(s)for(let e=0;e<r;e++)a[r+e]=this._x[e]+this._w[e];if(i)for(let e=0;e<r;e++)h[r+e]=this._y[e]+this._h[e];const _=n.min(a),o=n.max(a),d=n.min(h),c=n.max(h);this._bounds_rect={x0:_,x1:o,y0:d,y1:c}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:n.map(this._x,()=>NaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n",
       "      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++){if(null==this._xs[e]||0===this._xs[e].length)continue;const s=this._xs[e],i=[];for(let t=0,e=s.length;t<e;t++){const e=s[t];isNaN(e)||i.push(e)}const n=this._ys[e],l=[];for(let t=0,e=n.length;t<e;t++){const e=n[t];isNaN(e)||l.push(e)}const[o,h]=[r.min(i),r.max(i)],[_,c]=[r.min(l),r.max(l)];t.push({x0:o,y0:_,x1:h,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sxs:s,sys:i}){for(const n of e){const[e,l]=[s[n],i[n]];this.visuals.line.set_vectorize(t,n);for(let s=0,i=e.length;s<i;s++)0!=s?isNaN(e[s])||isNaN(l[s])?(t.stroke(),t.beginPath()):t.lineTo(e[s],l[s]):(t.beginPath(),t.moveTo(e[s],l[s]));t.stroke()}}_hit_point(t){const e={x:t.sx,y:t.sy};let s=9999;const i=new Map;for(let t=0,n=this.sxs.length;t<n;t++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",t)/2);let l=null;for(let i=0,r=this.sxs[t].length-1;i<r;i++){const r={x:this.sxs[t][i],y:this.sys[t][i]},h={x:this.sxs[t][i+1],y:this.sys[t][i+1]},_=o.dist_to_segment(e,r,h);_<n&&_<s&&(s=_,l=[i])}null!=l&&i.set(t,l)}return new a.Selection({indices:[...i.keys()],multiline_indices:h.to_object(i)})}_hit_span(t){const{sx:e,sy:s}=t;let i,n;\"v\"===t.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(e),n=this._xs);const l=new Map;for(let t=0,e=n.length;t<e;t++){const e=[];for(let s=0,l=n[t].length-1;s<l;s++)n[t][s]<=i&&i<=n[t][s+1]&&e.push(s);e.length>0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++){const i=this._xs[t][s][0],n=this._ys[t][s][0];0!=i.length&&e.push({x0:l.min(i),y0:l.min(n),x1:l.max(i),y1:l.max(n),i:t})}return this.hole_index=this._index_hole_data(),new n.SpatialIndex(e)}_index_hole_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++)if(this._xs[t][s].length>1)for(let i=1,n=this._xs[t][s].length;i<n;i++){const n=this._xs[t][s][i],r=this._ys[t][s][i];0!=n.length&&e.push({x0:l.min(n),y0:l.min(r),x1:l.max(n),y1:l.max(r),i:t})}return new n.SpatialIndex(e)}_mask_data(){const e=this.renderer.plot_view.frame.x_ranges.default,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r}).sort((e,t)=>e-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,r=t[i].length;n<r;n++){const r=t[i][n],o=s[i][n];for(let t=0,s=r.length;t<s;t++)0!=t?e.lineTo(r[t],o[t]):e.moveTo(r[t],o[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,r]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e<t;e++){const t=x[e],s=this.sxs[t],i=this.sys[t];let n=!0;for(let e=0,t=s.length;e<t;e++){for(let t=0,l=s[e][0].length;t<l;t++){const l=s[e][0][t],h=i[e][0][t];if(!a.point_in_poly(l,h,r,o)){n=!1;break}}if(!n)break}n&&y.push(t)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=this.hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(let e=0,i=r.length;e<i;e++){const i=r[e],n=this.sxs[i],h=this.sys[i];for(let e=0,r=n.length;e<r;e++){const r=n[e].length;if(a.point_in_poly(t,s,n[e][0],h[e][0]))if(1==r)l.push(i);else if(-1==o.indexOf(i))l.push(i);else if(r>1){let o=!1;for(let i=1;i<r;i++){const r=n[e][i],l=h[e][i];if(a.point_in_poly(t,s,r,l)){o=!0;break}}o||l.push(i)}}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterx(e,t,s){if(1==this.sxs[e].length)return this._get_snap_coord(this.sxs[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(i[e][0])}x.unreachable()}scentery(e,t,s){if(1==this.sys[e].length)return this._get_snap_coord(this.sys[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(n[e][0])}x.unreachable()}map_data(){const e=this;for(let[t,s]of this.model._coords){const i=\"s\"+t,n=\"s\"+s;if(t=\"_\"+t,s=\"_\"+s,null!=e[t]&&(d.isArray(e[t][0])||d.isTypedArray(e[t][0]))){const r=e[t].length;e[i]=new Array(r),e[n]=new Array(r);for(let o=0;o<r;o++){const r=e[t][o].length;e[i][o]=new Array(r),e[n][o]=new Array(r);for(let l=0;l<r;l++){const r=e[t][o][l].length;e[i][o][l]=new Array(r),e[n][o][l]=new Array(r);for(let h=0;h<r;h++){const[r,_]=this.map_to_screen(e[t][o][l][h],e[s][o][l][h]);e[i][o][l][h]=r,e[n][o][l][h]=_}}}}}}draw_legend_for_index(e,t,s){o.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends r.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.coords([[\"xs\",\"ys\"]]),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(216);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n",
       "      function _(s,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=s(1),n=s(85),r=s(89),o=s(92),l=s(9),_=s(12),h=s(23),c=i.__importStar(s(93)),a=s(79),d=s(11);class u extends r.GlyphView{_build_discontinuous_object(s){const t=[];for(let e=0,i=s.length;e<i;e++){t[e]=[];let i=l.copy(s[e]);for(;i.length>0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;i<n;i++)for(let n=0,r=s[i].length;n<r;n++){const r=s[i][n],o=t[i][n];0!=r.length&&e.push({x0:l.min(r),y0:l.min(o),x1:l.max(r),y1:l.max(o),i})}return new n.SpatialIndex(e)}_mask_data(){const s=this.renderer.plot_view.frame.x_ranges.default,[t,e]=[s.min,s.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:e,y0:n,y1:r}).sort((s,t)=>s-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+e[n])?(s.closePath(),i.apply(s),s.beginPath()):s.lineTo(t[n],e[n]):(s.beginPath(),s.moveTo(t[n],e[n]));s.closePath(),i.call(s)}_render(s,t,{sxs:e,sys:i}){this.sxss=this._build_discontinuous_object(e),this.syss=this._build_discontinuous_object(i);for(const n of t){const[t,r]=[e[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,n),this._inner_loop(s,t,r,s.fill)),this.visuals.hatch.doit2(s,n,()=>this._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s<t;s++){const t=u[s],e=this.sxs[t],i=this.sys[t];let n=!0;for(let s=0,t=e.length;s<t;s++){const t=e[s],l=i[s];if(!c.point_in_poly(t,l,r,o)){n=!1;break}}n&&x.push(t)}return new a.Selection({indices:x})}_hit_point(s){const{sx:t,sy:e}=s,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(e),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let s=0,i=r.length;s<i;s++){const i=r[s],n=this.sxss[i],l=this.syss[i];for(let s=0,r=n.length;s<r;s++)c.point_in_poly(t,e,n[s],l[s])&&o.push(i)}return new a.Selection({indices:o})}_get_snap_coord(s){return _.sum(s)/s.length}scenterx(s,t,e){if(1==this.sxss[s].length)return this._get_snap_coord(this.sxs[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(i[s])}d.unreachable()}scentery(s,t,e){if(1==this.syss[s].length)return this._get_snap_coord(this.sys[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(n[s])}d.unreachable()}draw_legend_for_index(s,t,e){o.generic_area_legend(this.visuals,s,t,e)}}e.PatchesView=u,u.__name__=\"PatchesView\";class x extends r.Glyph{constructor(s){super(s)}static init_Patches(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([h.LineVector,h.FillVector,h.HatchVector])}}e.Patches=x,x.__name__=\"Patches\",x.init_Patches()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(218);class _ extends i.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._right.length)}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}s.QuadView=_,_.__name__=\"QuadView\";class o extends i.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.coords([[\"right\",\"bottom\"],[\"left\",\"top\"]])}}s.Quad=o,o.__name__=\"Quad\",o.init_Quad()},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(23),n=t(85),r=t(89),_=t(92);function a(t,i,e){if(i==(t+e)/2)return[t,e];{const s=(t-i)/(t-2*i+e),n=t*(1-s)**2+2*i*(1-s)*s+e*s**2;return[Math.min(t,e,n),Math.max(t,e,n)]}}class c extends r.GlyphView{_index_data(){const t=[];for(let i=0,e=this._x0.length;i<e;i++){if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx[i]+this._cy[i]))continue;const[e,s]=a(this._x0[i],this._cx[i],this._x1[i]),[n,r]=a(this._y0[i],this._cy[i],this._y1[i]);t.push({x0:e,y0:n,x1:s,y1:r,i})}return new n.SpatialIndex(t)}_render(t,i,{sx0:e,sy0:s,sx1:n,sy1:r,scx:_,scy:a}){if(this.visuals.line.doit)for(const c of i)isNaN(e[c]+s[c]+n[c]+r[c]+_[c]+a[c])||(t.beginPath(),t.moveTo(e[c],s[c]),t.quadraticCurveTo(_[c],a[c],n[c],r[c]),this.visuals.line.set_vectorize(t,c),t.stroke())}draw_legend_for_index(t,i,e){_.generic_line_legend(this.visuals,t,i,e)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}e.QuadraticView=c,c.__name__=\"QuadraticView\";class o extends r.Glyph{constructor(t){super(t)}static init_Quadratic(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx\",\"cy\"]]),this.mixins(s.LineVector)}}e.Quadratic=o,o.__name__=\"Quadratic\",o.init_Quadratic()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),a=e(92),l=e(23),r=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const l=2*(this.renderer.plot_view.frame._width.value+this.renderer.plot_view.frame._height.value);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=l);for(const l of t)isNaN(i[l]+s[l]+a[l]+n[l])||(e.translate(i[l],s[l]),e.rotate(a[l]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[l],0),this.visuals.line.set_vectorize(e,l),e.stroke(),e.rotate(-a[l]),e.translate(-i[l],-s[l]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(l.LineVector),this.define({length:[r.DistanceSpec],angle:[r.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(214),a=t(92),r=i.__importStar(t(18)),n=t(12),_=t(79);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new Float64Array(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new Float64Array(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new Float64Array(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:a,sw:r,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||(this.visuals.fill.set_vectorize(t,l),_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.fillRect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.fillRect(h[l],a[l],r[l],n[l]));if(this.visuals.line.doit){t.beginPath();for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||0!=r[l]&&0!=n[l]&&(_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.rect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.rect(h[l],a[l],r[l],n[l]),this.visuals.line.set_vectorize(t,l),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),a=[];for(let t=0,s=this.sx0.length;t<s;t++)a.push(this.sx0[t]+this.sw[t]/2);const r=[];for(let t=0,s=this.sy1.length;t<s;t++)r.push(this.sy1[t]+this.sh[t]/2);const l=n.max(this._ddist(0,a,this.ssemi_diag)),o=n.max(this._ddist(1,r,this.ssemi_diag)),d=i-l,c=i+l,x=h-o,y=h+o,f=[];for(const t of this.index.indices({x0:d,x1:c,y0:x,y1:y})){let i,h;if(this._angle[t]){const a=Math.sin(-this._angle[t]),r=Math.cos(-this._angle[t]),n=r*(s-this.sx[t])-a*(e-this.sy[t])+this.sx[t],_=a*(s-this.sx[t])+r*(e-this.sy[t])+this.sy[t];s=n,e=_,h=Math.abs(this.sx[t]-s)<=this.sw[t]/2,i=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else h=s-this.sx0[t]<=this.sw[t]&&s-this.sx0[t]>=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e<i;e++)h[e]=Number(t[e])-s[e]/2,a[e]=Number(t[e])+s[e]/2;const r=e.v_compute(h),n=e.v_compute(a),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let l=r;for(let t=0,s=r.length;t<s;t++)if(r[t]!=n[t]){l=r[t]<n[t]?r:n;break}return[_,l]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,a=h.length,r=new Float64Array(a);for(let t=0;t<a;t++)r[t]=h[t]+e[t];const n=i.v_invert(h),_=i.v_invert(r),l=n.length,o=new Float64Array(l);for(let t=0;t<l;t++)o[t]=Math.abs(_[t]-n[t]);return o}draw_legend_for_index(t,s,e){a.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class o extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[r.Boolean,!1]})}}e.Rect=o,o.__name__=\"Rect\",o.init_Rect()},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importStar(e(93)),n=e(23),r=e(85),h=e(89),_=e(92),a=e(79);class c extends h.GlyphView{_index_data(){const e=[];for(let s=0,t=this._x0.length;s<t;s++){const t=this._x0[s],i=this._x1[s],n=this._y0[s],r=this._y1[s];isNaN(t+i+n+r)||e.push({x0:Math.min(t,i),y0:Math.min(n,r),x1:Math.max(t,i),y1:Math.max(n,r),i:s})}return new r.SpatialIndex(e)}_render(e,s,{sx0:t,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const h of s)isNaN(t[h]+i[h]+n[h]+r[h])||(e.beginPath(),e.moveTo(t[h],i[h]),e.lineTo(n[h],r[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}_hit_point(e){const{sx:s,sy:t}=e,n={x:s,y:t},[r,h]=this.renderer.xscale.r_invert(s-2,s+2),[_,c]=this.renderer.yscale.r_invert(t-2,t+2),o=this.index.indices({x0:r,y0:_,x1:h,y1:c}),x=[];for(const e of o){const s=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,t={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};i.dist_to_segment_squared(n,t,r)<s&&x.push(e)}return new a.Selection({indices:x})}_hit_span(e){const[s,t]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,h,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,h]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,h]=[this._x0,this._x1]);const c=[],[o,x]=this.renderer.xscale.r_invert(s.start,s.end),[l,d]=this.renderer.yscale.r_invert(t.start,t.end),y=this.index.indices({x0:o,y0:l,x1:x,y1:d});for(const s of y){(r[s]<=_&&_<=h[s]||h[s]<=_&&_<=r[s])&&c.push(s);const t=1.5+this.visuals.line.cache_select(\"line_width\",s)/2;r[s]==h[s]&&(\"h\"==e.direction?Math.abs(this.sx0[s]-i)<=t&&c.push(s):Math.abs(this.sy0[s]-n)<=t&&c.push(s))}return new a.Selection({indices:c})}scenterx(e){return(this.sx0[e]+this.sx1[e])/2}scentery(e){return(this.sy0[e]+this.sy1[e])/2}draw_legend_for_index(e,s,t){_.generic_line_legend(this.visuals,e,s,t)}}t.SegmentView=c,c.__name__=\"SegmentView\";class o extends h.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"]]),this.mixins(n.LineVector)}}t.Segment=o,o.__name__=\"Segment\",o.init_Segment()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(84),o=e(92),r=e(23),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let r=0,l=h;r<l;r++){const[l,a]=this._rotate_point(e,s,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(l,a,n[r],_[r])&&i.push(t)}}return new a.Selection({indices:i})}_scenterxy(t){const e=this._sxs[t],s=this._sys[t];l.assert(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],_=(e[0][2]+i)/2,o=(s[0][2]+n)/2,[h,r]=this._rotate_point(_,o,i,n,this._angle[t]);return{x:h,y:r}}scenterx(t){return this._scenterxy(t).x}scentery(t){return this._scenterxy(t).y}}s.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}s.Text=x,x.__name__=\"Text\",x.init_Text()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class o extends h.BoxView{scenterx(t){return this.sx[t]}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._x.length)}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new Float64Array(t),this.sright=new Float64Array(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=o,o.__name__=\"VBarView\";class _ extends h.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=o,this.coords([[\"x\",\"bottom\"]]),this.define({width:[r.NumberSpec],top:[r.CoordinateSpec]}),this.override({bottom:0})}}e.VBar=_,_.__name__=\"VBar\",_.init_VBar()},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),d=e(10),o=e(79);class l extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const _=this.model.properties.direction.value();for(const d of s)isNaN(t[d]+i[d]+r[d]+n[d]+a[d])||(e.beginPath(),e.arc(t[d],i[d],r[d],n[d],a[d],_),e.lineTo(t[d],i[d]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,_,l,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),x=this.renderer.yscale.invert(u),g=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-g,_=p+g,l=x-g,c=x+g):(t=h-g,i=h+g,[a,_]=this.renderer.xscale.r_invert(t,i),r=u-g,n=u+g,[l,c]=this.renderer.yscale.r_invert(r,n));const y=[];for(const e of this.index.indices({x0:a,x1:_,y0:l,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(x,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&y.push([e,s])}const f=this.model.properties.direction.value(),v=[];for(const[e,s]of y){const t=Math.atan2(u-this.sy[e],h-this.sx[e]);d.angle_between(-t,-this._start_angle[e],-this._end_angle[e],f)&&v.push([e,s])}return o.Selection.from_hits(v)}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}_scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+s*Math.cos(t),y:this.sy[e]+s*Math.sin(t)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}t.WedgeView=l,l.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=l,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n",
       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(101),_),r.__exportStar(e(239),_),r.__exportStar(e(240),_)},\n",
       "      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(71);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n",
       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(1),r=t(239),s=o.__importStar(t(18));class n extends r.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=[],e=[],o=t.data.index;for(let t=0,r=o.length;t<r;t++){const r=this.graph_layout[o[t]],[s,n]=null!=r?r:[NaN,NaN];a.push(s),e.push(n)}return[a,e]}get_edge_coordinates(t){const a=[],e=[],o=t.data.start,r=t.data.end,s=null!=t.data.xs&&null!=t.data.ys;for(let n=0,u=o.length;n<u;n++){const u=null!=this.graph_layout[o[n]]&&null!=this.graph_layout[r[n]];if(s&&u)a.push(t.data.xs[n]),e.push(t.data.ys[n]);else{let t,s;[s,t]=u?[this.graph_layout[o[n]],this.graph_layout[r[n]]]:[[NaN,NaN],[NaN,NaN]],a.push([s[0],t[0]]),e.push([s[1],t[1]])}}return[a,e]}}e.StaticLayoutProvider=n,n.__name__=\"StaticLayoutProvider\",n.init_StaticLayoutProvider()},\n",
       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(242);d.Grid=i.Grid},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),s=e(151),r=n.__importStar(e(23)),_=n.__importStar(e(18)),o=e(8);class a extends s.GuideRendererView{render(){if(!this.model.visible)return;const e=this.layer.ctx;e.save(),this._draw_regions(e),this._draw_minor_grids(e),this._draw_grids(e),e.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n<i.length-1;n++){if(n%2!=1)continue;const[s,r]=this.plot_view.map_to_screen(i[n],t[n],this.model.x_range_name,this.model.y_range_name),[_,o]=this.plot_view.map_to_screen(i[n+1],t[n+1],this.model.x_range_name,this.model.y_range_name);this.visuals.band_fill.doit&&e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0]),this.visuals.band_hatch.doit2(e,n,()=>{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;i<t.length;i++){const[s,r]=this.plot_view.map_to_screen(t[i],n[i],this.model.x_range_name,this.model.y_range_name);e.beginPath(),e.moveTo(Math.round(s[0]),Math.round(r[0]));for(let i=1;i<s.length;i++)e.lineTo(Math.round(s[i]),Math.round(r[i]));e.stroke()}}ranges(){const e=this.model.dimension,i=(e+1)%2,t=this.plot_view.frame,n=[t.x_ranges[this.model.x_range_name],t.y_ranges[this.model.y_range_name]];return[n[e],n[i]]}computed_bounds(){const[e]=this.ranges(),i=this.model.bounds,t=[e.min,e.max];let n,s;if(o.isArray(i))n=Math.min(i[0],i[1]),s=Math.max(i[0],i[1]),n<t[0]&&(n=t[0]),s>t[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;e<l.length;e++){if((l[e]==h||l[e]==m)&&i)continue;const s=[],r=[],_=2;for(let i=0;i<_;i++){const t=c+(u-c)/(_-1)*i;s.push(l[e]),r.push(t)}a[t].push(s),a[n].push(r)}return a}}t.GridView=a,a.__name__=\"GridView\";class d extends s.GuideRenderer{constructor(e){super(e)}static init_Grid(){this.prototype.default_view=a,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[_.Any,\"auto\"],dimension:[_.Any,0],axis:[_.Instance],ticker:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=d,d.__name__=\"Grid\",d.init_Grid()},\n",
       "      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(244);r.Box=e.Box;var v=a(247);r.Column=v.Column;var x=a(248);r.GridBox=x.GridBox;var B=a(249);r.HTMLBox=B.HTMLBox;var n=a(245);r.LayoutDOM=n.LayoutDOM;var t=a(250);r.Row=t.Row;var u=a(251);r.Spacer=u.Spacer;var d=a(252);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(259);r.WidgetBox=i.WidgetBox},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(245),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n",
       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n",
       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n",
       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n",
       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n",
       "      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n",
       "      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n",
       "      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n",
       "      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n",
       "      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n'},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n",
       "      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n",
       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let g,s,d=e[_];i.isString(d)?g=l.index_of(n,d):(null!=f?d=null!=o?d.slice(f,o):d.slice(f):null!=o&&(d=d.slice(0,o)),g=1==d.length?l.index_of(n,d[0]):l.find_index(n,e=>u(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n",
       "      function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(262),i=r(118),c=t.__importStar(r(18));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n",
       "      function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(262),s=t(118),i=r.__importStar(t(18));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n",
       "      function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;t<e;t++){const e=o[t];if(isNaN(e)){l[t]=i;continue}if(e>u){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(e<s){l[t]=null!=h?h:n[0];continue}const r=Math.log(e)-Math.log(s);let _=Math.floor(r*a);_>g&&(_=g),l[t]=n[_]}}}n.LogColorMapper=i,i.__name__=\"LogColorMapper\"},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__exportStar(e(267),t);var a=e(268);t.Marker=a.Marker;var _=e(269);t.Scatter=_.Scatter},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(268),r=Math.sqrt(3);function n(e,t){e.rotate(Math.PI/4),c(e,t),e.rotate(-Math.PI/4)}function s(e,t){const o=t*r,i=o/3;e.moveTo(-o/2,-i),e.lineTo(0,0),e.lineTo(o/2,-i),e.lineTo(0,0),e.lineTo(0,t)}function c(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function l(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function a(e,t){const o=t*r,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function u(e,t,o,i,r){c(e,o),n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function d(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function v(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function _(e,t,o,i,r){d(e,t,o,i,r),m(e,t,o,i,r)}function f(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),s(e,o),e.stroke())}function T(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function z(e,t,o,i,r){c(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function k(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function C(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(0,o),e.lineTo(0,-o),e.moveTo(-o/1.5,0),e.lineTo(o/1.5,0),e.stroke())}function h(e,t,o,i,r){k(e,t,o,i,r),m(e,t,o,i,r)}function m(e,t,o,i,r){!function(e,t){e.beginPath(),e.arc(0,0,t/4,0,2*Math.PI,!1),e.closePath()}(e,o),i.set_vectorize(e,t),e.fillStyle=e.strokeStyle,e.fill()}function P(e,t,o,i,n){!function(e,t){const o=t/2,i=r*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function q(e,t,o,i,r){P(e,t,o,i,r),m(e,t,o,i)}function D(e,t,o,i,r){e.rotate(Math.PI),a(e,o),e.rotate(-Math.PI),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function g(e,t,o,i,r){const n=3*o/8,s=[n,n,o,o,n,n,-n,-n,-o,-o,-n,-n],c=[o,n,n,-n,-n,-o,-o,-n,-n,n,n,o];for(e.moveTo(s[0],c[0]),t=1;t<12;t++)e.lineTo(s[t],c[t]);e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function S(e,t,o,i,r){const n=3*o/8;e.moveTo(-o,-o),e.quadraticCurveTo(0,-n,o,-o),e.quadraticCurveTo(n,0,o,o),e.quadraticCurveTo(0,n,-o,o),e.quadraticCurveTo(-n,0,-o,-o),e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function x(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function I(e,t,o,i,r){M(e,t,o,i,r),m(e,t,o,i)}function p(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(-o,o),e.lineTo(o,-o),e.moveTo(-o,-o),e.lineTo(o,o),e.stroke())}function y(e,t,o,i,r){a(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function X(e,t,o,i,r){y(e,t,o,i,r),m(e,t,o,i)}function H(e,t,o,i,n){const s=o*r,c=s/3,l=3*c/8;e.moveTo(-o,c),e.quadraticCurveTo(0,l,o,c),e.quadraticCurveTo(r*l/2,l/2,0,c-s),e.quadraticCurveTo(-r*l/2,l/2,-o,c),e.closePath(),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function Y(e,t,o,i,r){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function b(e,t,o,i,r){n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function w(e,t,o,i,r){s(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function A(e,t){var o;const r=class extends i.MarkerView{static initClass(){this.prototype._render_one=t}};r.initClass();const n=((o=class extends i.Marker{static initClass(){this.prototype.default_view=r}}).__name__=e,o);return n.initClass(),n}o.Asterisk=A(\"Asterisk\",u),o.CircleCross=A(\"CircleCross\",v),o.CircleDot=A(\"CircleDot\",_),o.CircleY=A(\"CircleY\",f),o.CircleX=A(\"CircleX\",T),o.Cross=A(\"Cross\",z),o.Dash=A(\"Dash\",Y),o.Diamond=A(\"Diamond\",k),o.DiamondCross=A(\"DiamondCross\",C),o.DiamondDot=A(\"DiamondDot\",h),o.Dot=A(\"Dot\",m),o.Hex=A(\"Hex\",P),o.HexDot=A(\"HexDot\",q),o.InvertedTriangle=A(\"InvertedTriangle\",D),o.Plus=A(\"Plus\",g),o.Square=A(\"Square\",M),o.SquareCross=A(\"SquareCross\",x),o.SquareDot=A(\"SquareDot\",I),o.SquarePin=A(\"SquarePin\",S),o.SquareX=A(\"SquareX\",p),o.Triangle=A(\"Triangle\",y),o.TriangleDot=A(\"TriangleDot\",X),o.TrianglePin=A(\"TrianglePin\",H),o.X=A(\"X\",b),o.Y=A(\"Y\",w),o.marker_funcs={asterisk:u,circle:d,circle_cross:v,circle_dot:_,circle_y:f,circle_x:T,cross:z,diamond:k,diamond_dot:h,diamond_cross:C,dot:m,hex:P,hex_dot:q,inverted_triangle:D,plus:g,square:M,square_cross:x,square_dot:I,square_pin:S,square_x:p,triangle:y,triangle_dot:X,triangle_pin:H,dash:Y,x:b,y:w}},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(23),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(9),c=e(79);class o extends r.XYGlyphView{_render(e,s,{sx:t,sy:i,_size:r,_angle:n}){for(const a of s){if(isNaN(t[a]+i[a]+r[a]+n[a]))continue;const s=r[a]/2;e.beginPath(),e.translate(t[a],i[a]),n[a]&&e.rotate(n[a]),this._render_one(e,a,s,this.visuals.line,this.visuals.fill),n[a]&&e.rotate(-n[a]),e.translate(-t[a],-i[a])}}_mask_data(){const e=this.renderer.plot_view.frame.bbox.h_range,s=e.start-this.max_size,t=e.end+this.max_size,[i,r]=this.renderer.xscale.r_invert(s,t),n=this.renderer.plot_view.frame.bbox.v_range,a=n.start-this.max_size,_=n.end+this.max_size,[h,c]=this.renderer.yscale.r_invert(a,_);return this.index.indices({x0:i,x1:r,y0:h,y1:c})}_hit_point(e){const{sx:s,sy:t}=e,i=s-this.max_size,r=s+this.max_size,[n,a]=this.renderer.xscale.r_invert(i,r),_=t-this.max_size,h=t+this.max_size,[o,x]=this.renderer.yscale.r_invert(_,h),l=this.index.indices({x0:n,x1:a,y0:o,y1:x}),d=[];for(const e of l){const i=this._size[e]/2,r=Math.abs(this.sx[e]-s)+Math.abs(this.sy[e]-t);Math.abs(this.sx[e]-s)<=i&&Math.abs(this.sy[e]-t)<=i&&d.push([e,r])}return c.Selection.from_hits(d)}_hit_span(e){const{sx:s,sy:t}=e,i=this.bounds(),r=this.max_size/2;let n,a,_,h;if(\"h\"==e.direction){_=i.y0,h=i.y1;const e=s-r,t=s+r;[n,a]=this.renderer.xscale.r_invert(e,t)}else{n=i.x0,a=i.x1;const e=t-r,s=t+r;[_,h]=this.renderer.yscale.r_invert(e,s)}const o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_rect(e){const{sx0:s,sx1:t,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(s,t),[_,h]=this.renderer.yscale.r_invert(i,r),o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_poly(e){const{sx:s,sy:t}=e,i=h.range(0,this.sx.length),r=[];for(let e=0,n=i.length;e<n;e++){const n=i[e];a.point_in_poly(this.sx[e],this.sy[e],s,t)&&r.push(n)}return new c.Selection({indices:r})}draw_legend_for_index(e,{x0:s,x1:t,y0:i,y1:r},n){const a=n+1,_=new Array(a);_[n]=(s+t)/2;const h=new Array(a);h[n]=(i+r)/2;const c=new Array(a);c[n]=.4*Math.min(Math.abs(t-s),Math.abs(r-i));const o=new Array(a);o[n]=0,this._render(e,[n],{sx:_,sy:h,_size:c,_angle:o})}}t.MarkerView=o,o.__name__=\"MarkerView\";class x extends r.XYGlyph{constructor(e){super(e)}static init_Marker(){this.mixins([n.LineVector,n.FillVector]),this.define({size:[_.DistanceSpec,{units:\"screen\",value:4}],angle:[_.AngleSpec,0]})}}t.Marker=x,x.__name__=\"Marker\",x.init_Marker()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),s=e(268),n=e(267),i=a.__importStar(e(18));class _ extends s.MarkerView{_render(e,t,{sx:r,sy:a,_size:s,_angle:i,_marker:_}){for(const c of t){if(isNaN(r[c]+a[c]+s[c]+i[c])||null==_[c])continue;const t=s[c]/2;e.beginPath(),e.translate(r[c],a[c]),i[c]&&e.rotate(i[c]),n.marker_funcs[_[c]](e,c,t,this.visuals.line,this.visuals.fill),i[c]&&e.rotate(-i[c]),e.translate(-r[c],-a[c])}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},n){const i=n+1,_=new Array(i);_[n]=(t+r)/2;const c=new Array(i);c[n]=(a+s)/2;const o=new Array(i);o[n]=.4*Math.min(Math.abs(r-t),Math.abs(s-a));const l=new Array(i);l[n]=0;const u=new Array(i);u[n]=this._marker[n],this._render(e,[n],{sx:_,sy:c,_size:o,_angle:l,_marker:u})}}r.ScatterView=_,_.__name__=\"ScatterView\";class c extends s.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=_,this.define({marker:[i.MarkerSpec,{value:\"circle\"}]})}}r.Scatter=c,c.__name__=\"Scatter\",c.init_Scatter()},\n",
       "      function _(a,o,p){Object.defineProperty(p,\"__esModule\",{value:!0});var t=a(271);p.MapOptions=t.MapOptions;var e=a(271);p.GMapOptions=e.GMapOptions;var n=a(271);p.GMapPlot=n.GMapPlot;var M=a(272);p.Plot=M.Plot},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),n=t(72),a=t(272),s=o.__importStar(t(18)),p=t(71),r=t(131),_=t(296);i.GMapPlotView=_.GMapPlotView;class l extends p.Model{constructor(t){super(t)}static init_MapOptions(){this.define({lat:[s.Number],lng:[s.Number],zoom:[s.Number,12]})}}i.MapOptions=l,l.__name__=\"MapOptions\",l.init_MapOptions();class c extends l{constructor(t){super(t)}static init_GMapOptions(){this.define({map_type:[s.String,\"roadmap\"],scale_control:[s.Boolean,!1],styles:[s.String],tilt:[s.Int,45]})}}i.GMapOptions=c,c.__name__=\"GMapOptions\",c.init_GMapOptions();class u extends a.Plot{constructor(t){super(t)}static init_GMapPlot(){this.prototype.default_view=_.GMapPlotView,this.define({map_options:[s.Instance],api_key:[s.String]}),this.override({x_range:()=>new r.Range1d,y_range:()=>new r.Range1d})}initialize(){super.initialize(),this.use_map=!0,this.api_key||n.logger.error(\"api_key is required. See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),o=i.__importStar(e(23)),n=i.__importStar(e(18)),s=e(14),a=e(9),l=e(17),_=e(8),h=e(245),c=e(142),u=e(120),d=e(273),b=e(76),g=e(81),p=e(186),m=e(290);r.PlotView=m.PlotView;class f extends h.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=m.PlotView,this.mixins([[\"outline_\",o.Line],[\"background_\",o.Fill],[\"border_\",o.Fill]]),this.define({toolbar:[n.Instance,()=>new d.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new c.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new p.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new p.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new u.LinearScale],y_scale:[n.Instance,()=>new u.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.properties.width.get_value();return null!=e?e:this.plot_width}set width(e){this.setv({width:e,plot_width:e})}get height(){const e=this.properties.height.get_value();return null!=e?e:this.plot_height}set height(e){this.setv({height:e,plot_height:e})}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new s.Signal0(this,\"reset\");for(const e of l.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of l.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{a.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new b.ColumnDataSource,r={}){const i=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new g.GlyphRenderer(i);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:i}=this;return a.concat([e,t,r,i])}}r.Plot=f,f.__name__=\"Plot\",f.init_Plot()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),c=t(8),o=t(9),n=t(274),a=t(283),l=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},r=t=>\"tap\"==t||\"pan\"==t;class _ extends a.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:c,active_multi:o}=this.properties;this.on_change([t,s,e,i,c,o],()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,()=>this._active_change(t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(275),i=e(282),_=n.__importStar(e(18));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n",
       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=i.__importDefault(t(276)),n=t(66),l=t(277),r=t(68),a=i.__importStar(t(18)),u=t(24),_=t(8),h=t(9),c=t(278),m=i.__importDefault(t(279)),d=i.__importDefault(t(280)),p=i.__importDefault(t(257)),f=t(281);class g extends n.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new f.ContextMenu(o?h.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new s.default(this.el,{touchAction:\"auto\",inputClass:s.default.TouchMouseInput}),this.connect(this.model.change,()=>this.render()),this._hammer.on(\"tap\",t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()}),this._hammer.on(\"press\",()=>this._pressed())}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,d.default,p.default]}css_classes(){return super.css_classes().concat(c.bk_toolbar_button)}render(){r.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(u.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=g,g.__name__=\"ButtonToolButtonView\";class v extends l.ToolView{}o.ButtonToolView=v,v.__name__=\"ButtonToolView\";class b extends l.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[a.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=b,b.__name__=\"ButtonTool\",b.init_ButtonTool()},\n",
       "      function _(t,e,n){\n",
       "      /*! Hammer.JS - v2.0.7 - 2016-04-22\n",
       "           * http://hammerjs.github.io/\n",
       "           *\n",
       "           * Copyright (c) 2016 Jorik Tangelder;\n",
       "           * Licensed under the MIT license */\n",
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6&t&&e.push(\"pan-y\"),24&t&&e.push(\"pan-x\"),e},directionTest:function(t){var e=this.options,n=!0,i=t.distance,r=t.direction,s=t.deltaX,o=t.deltaY;return r&e.direction||(6&e.direction?(r=0===s?1:s<0?2:4,n=s!=this.pX,i=Math.abs(t.deltaX)):(r=0===o?1:o<0?8:16,n=o!=this.pY,i=Math.abs(t.deltaY))),t.direction=r,n&&i>e.threshold&&r&e.direction},attrTest:function(t){return mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime>e.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(i&&r&&n){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||L(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return 32},failTimeout:function(){return this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(18)),o=t(67),s=t(9),a=t(71);class r extends o.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n",
       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n",
       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n",
       "      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n  background-image: 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url(\"data:image/png;base64,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\");\\n}\\n'},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n",
       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n",
       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n",
       "      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n",
       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n",
       "      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n",
       "      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n",
       "      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n  display: inline-block;\\n  vertical-align: middle;\\n  margin-right: 5px;\\n}\\n\"},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});var s=this&&this.__rest||function(t,e){var i={};for(var s in t)Object.prototype.hasOwnProperty.call(t,s)&&e.indexOf(s)<0&&(i[s]=t[s]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var n=0;for(s=Object.getOwnPropertySymbols(t);n<s.length;n++)e.indexOf(s[n])<0&&Object.prototype.propertyIsEnumerable.call(t,s[n])&&(i[s[n]]=t[s[n]])}return i};const n=t(184),a=t(181),o=t(186),l=t(81),r=t(245),h=t(142),_=t(150),d=t(143),u=t(291),c=t(14),p=t(99),g=t(292),m=t(70),f=t(72),b=t(294),w=t(8),v=t(9),y=t(17),x=t(188),z=t(191),M=t(295),k=t(192),O=t(88);class j extends x.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0}}_measure(t){t=new x.Sizeable(t).bounded_to(this.sizing.size);const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left),s=this.right_panel.measure({width:0,height:t.height}),n=Math.max(s.width,this.min_border.right),a=this.top_panel.measure({width:t.width,height:0}),o=Math.max(a.height,this.min_border.top),l=this.bottom_panel.measure({width:t.width,height:0}),r=Math.max(l.height,this.min_border.bottom),h=new x.Sizeable(t).shrink_by({left:i,right:n,top:o,bottom:r}),_=this.center_panel.measure(h);return{width:i+_.width+n,height:o+_.height+r,inner:{left:i,right:n,top:o,bottom:r},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const c=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n",
       "      function _(e,t,n){\n",
       "      /*!\n",
       "           * jQuery Mousewheel 3.1.13\n",
       "           *\n",
       "           * Copyright jQuery Foundation and other contributors\n",
       "           * Released under the MIT license\n",
       "           * http://jquery.org/license\n",
       "           */\n",
       "      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n",
       "      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n",
       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n",
       "      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n",
       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n",
       "      function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n",
       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=l(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=c,c.__name__=\"GeoJSONDataSource\",c.init_GeoJSONDataSource()},\n",
       "      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(110);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(109);i.BasicTicker=a.BasicTicker;var k=e(153);i.CategoricalTicker=k.CategoricalTicker;var T=e(164);i.CompositeTicker=T.CompositeTicker;var t=e(111);i.ContinuousTicker=t.ContinuousTicker;var o=e(163);i.DatetimeTicker=o.DatetimeTicker;var v=e(165);i.DaysTicker=v.DaysTicker;var n=e(307);i.FixedTicker=n.FixedTicker;var s=e(172);i.LogTicker=s.LogTicker;var l=e(175);i.MercatorTicker=l.MercatorTicker;var u=e(168);i.MonthsTicker=u.MonthsTicker;var d=e(166);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(112);i.Ticker=g.Ticker;var C=e(169);i.YearsTicker=C.YearsTicker},\n",
       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(111),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n",
       "      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(309);o.BBoxTileSource=T.BBoxTileSource;var c=e(310);o.MercatorTileSource=c.MercatorTileSource;var i=e(313);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(314);o.TileRenderer=l.TileRenderer;var S=e(311);o.TileSource=S.TileSource;var u=e(318);o.TMSTileSource=u.TMSTileSource;var a=e(315);o.WMTSTileSource=a.WMTSTileSource},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(310),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(311),r=_.__importStar(t(18)),o=t(9),n=t(312);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);t<i;t++){const[i,s,_]=a[t],n=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const t of n){const[i,s,_,a]=t;e.tiles.has(e.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,a,!0)}}}_fetch_tiles(e){for(const t of e){const[e,i,s,_]=t;this._create_tile(e,i,s,_)}}_update(){const{tile_source:e}=this.model,{min_zoom:t}=e,{max_zoom:i}=e;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],a=this.map_frame._height.value,n=this.map_frame._width.value;let r=e.get_level_by_extent(s,a,n),h=!1;r<t?(s=this.extent,r=t,h=!0):r>i&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n",
       "      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n",
       "      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n",
       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n",
       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n",
       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n",
       "      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n",
       "      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n",
       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n",
       "      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||(i.isArray(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const i of t){const t=this._map_drag(o,n,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],m=i.glyph,h=i.data_source,[p,f]=[m.x.field,m.y.field];for(const e of h.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(h.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(h.data[f][e]+=u);h.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())n.includes(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:i}=e;if(!o.bbox.contains(n,i))return[];const r={type:\"point\",sx:n,sy:i},_=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=[this.plot_view.renderer_views.get(e)];s.select(n,r,!0,t)&&_.push(e),o.properties.selected.change.emit()}return _}}s.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[o.String],custom_tooltip:[o.String],empty_value:[o.Any],renderers:[o.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}s.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(68),o=i.__importStar(e(18)),n=e(332),a=e(287);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.frame,d=n.glyph,l=n.data_source,r=a.xscales[n.x_range_name],h=a.yscales[n.y_range_name],[p,u]=r.r_invert(e,t),[c,m]=h.r_invert(s,i),[f,b]=[(p+u)/2,(c+m)/2],[x,y]=[u-p,m-c],[w,g]=[d.x.field,d.y.field],[v,E]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),w&&l.get_array(w).push(f),g&&l.get_array(g).push(b),v&&l.get_array(v).push(x),E&&l.get_array(E).push(y),this._pad_empty_columns(l,[w,g,v,E]);else{const e=l.data[w].length-1;w&&(l.data[w][e]=f),g&&(l.data[g][e]=b),v&&(l.data[v][e]=x),E&&(l.data[E][e]=y)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(68),_=s.__importStar(e(18)),o=e(8),i=e(332),d=e(287);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(68),a=s.__importStar(e(18)),n=e(332),_=e(287);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(68),a=i.__importStar(e(18)),o=e(8),n=e(337),_=e(287);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n",
       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,_={};for(const e in i){const s=i[e],[n,a]=s.r_invert(t,o);_[e]={start:n,end:a}}const a={};for(const t in n){const o=n[t],[i,_]=o.r_invert(e,s);a[t]={start:i,end:_}}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n",
       "      function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(n<e.start||n>e.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)<i}function d(e,t,s,i,n){let l=!0;if(null!=n.left&&null!=n.right){const t=s.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e<t.end?(t.start=e,s):(t.start=t.end,t.end=e,_(s))}function f(e,t,s,i){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+s,l+s),o=u(e.start,e.end,i);u(a,r,i)>=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n",
       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n",
       "      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return a<d?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function w(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=v,s._line_hit=w;class g extends o.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map}remove(){y.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n",
       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n",
       "      function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(66),d=e(99),c=e(68),l=e(359);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n",
       "      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(68),r=e(246);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under <body>`);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n",
       "      function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(361),s=n(72),c=n(358);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n",
       "      function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(72),o=e(5),r=e(362),i=e(363),c=e(364);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new Promise((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)});if(\"ERROR\"===s.msgtype())throw new Error(\"Error reply \"+s.content.text);return s}async _pull_doc_json(){const e=r.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;t.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=o.Document.from_json(n),i=o.Document._compute_patch_since_json(n,s);if(i.events.length>0){t.logger.debug(`Sending ${i.events.length} changes from model construction back to server`);const e=r.Message.create(\"PATCH-DOC\",{},i);this.send(e)}this.session=new c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(24);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(362),r=e(8);class i{constructor(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}consume(e){this._current_consumer(e)}_HEADER(e){this._assume_text(e),this.message=null,this._partial=null,this._fragments=[e],this._buf_header=null,this._current_consumer=this._METADATA}_METADATA(e){this._assume_text(e),this._fragments.push(e),this._current_consumer=this._CONTENT}_CONTENT(e){this._assume_text(e),this._fragments.push(e);const[t,s,r]=this._fragments.slice(0,3);this._partial=_.Message.assemble(t,s,r),this._check_complete()}_BUFFER_HEADER(e){this._assume_text(e),this._buf_header=e,this._current_consumer=this._BUFFER_PAYLOAD}_BUFFER_PAYLOAD(e){this._assume_binary(e),this._partial.assemble_buffer(this._buf_header,e),this._check_complete()}_assume_text(e){if(!r.isString(e))throw new Error(\"Expected text fragment but received binary fragment\")}_assume_binary(e){if(!(e instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")}_check_complete(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER}}s.Receiver=i,i.__name__=\"Receiver\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(5),s=e(362),c=e(72);class i{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>{this._document_changed(e)},this.document.on_change(this._document_listener,!0)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):c.logger.debug(\"Doing nothing with message \"+e.msgtype())}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=s.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof o.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),c=s.Message.create(\"PATCH-DOC\",{},n);this._connection.send(c)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){c.logger.trace(\"Unhandled OK reply to \"+e.reqid())}_handle_error(e){c.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=i,i.__name__=\"ClientSession\"},\n",
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       "      /* END bokeh.min.js */\n",
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       "    \n",
       "    function(Bokeh) {\n",
       "      /* BEGIN bokeh-widgets.min.js */\n",
       "      /*!\n",
       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
       "       * All rights reserved.\n",
       "       * \n",
       "       * Redistribution and use in source and binary forms, with or without modification,\n",
       "       * are permitted provided that the following conditions are met:\n",
       "       * \n",
       "       * Redistributions of source code must retain the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer.\n",
       "       * \n",
       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer in the documentation\n",
       "       * and/or other materials provided with the distribution.\n",
       "       * \n",
       "       * Neither the name of Anaconda nor the names of any contributors\n",
       "       * may be used to endorse or promote products derived from this software\n",
       "       * without specific prior written permission.\n",
       "       * \n",
       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
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       "      ({\n",
       "      390: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(391));o.Widgets=r,e(7).register_models(r)},\n",
       "      391: function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});var a=r(392);t.AbstractButton=a.AbstractButton;var o=r(395);t.AbstractIcon=o.AbstractIcon;var u=r(396);t.AutocompleteInput=u.AutocompleteInput;var n=r(401);t.Button=n.Button;var i=r(402);t.CheckboxButtonGroup=i.CheckboxButtonGroup;var v=r(404);t.CheckboxGroup=v.CheckboxGroup;var p=r(406);t.ColorPicker=p.ColorPicker;var l=r(407);t.DatePicker=l.DatePicker;var c=r(410);t.DateRangeSlider=c.DateRangeSlider;var d=r(416);t.DateSlider=d.DateSlider;var g=r(417);t.Div=g.Div;var I=r(421);t.Dropdown=I.Dropdown;var S=r(422);t.FileInput=S.FileInput;var P=r(398);t.InputWidget=P.InputWidget;var k=r(418);t.Markup=k.Markup;var x=r(423);t.MultiSelect=x.MultiSelect;var D=r(424);t.Paragraph=D.Paragraph;var b=r(425);t.PasswordInput=b.PasswordInput;var s=r(426);t.MultiChoice=s.MultiChoice;var h=r(429);t.PreText=h.PreText;var A=r(430);t.RadioButtonGroup=A.RadioButtonGroup;var B=r(431);t.RadioGroup=B.RadioGroup;var C=r(432);t.RangeSlider=C.RangeSlider;var G=r(433);t.Select=G.Select;var R=r(434);t.Slider=R.Slider;var T=r(435);t.Spinner=T.Spinner;var M=r(397);t.TextInput=M.TextInput;var w=r(436);t.TextAreaInput=w.TextAreaInput;var W=r(437);t.Toggle=W.Toggle;var _=r(458);t.Widget=_.Widget},\n",
       "      392: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=i.__importStar(t(18)),o=t(68),l=t(99),r=t(393),_=t(254),c=i.__importDefault(t(256));class u extends r.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await l.build_view(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),c.default]}_render_button(...t){return o.button({type:\"button\",disabled:this.model.disabled,class:[_.bk_btn,_.bk_btn_type(this.model.button_type)]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",()=>this.click()),null!=this.icon_view&&(o.prepend(this.button_el,this.icon_view.el,o.nbsp()),this.icon_view.render()),this.group_el=o.div({class:_.bk_btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=u,u.__name__=\"AbstractButtonView\";class a extends r.Control{constructor(t){super(t)}static init_AbstractButton(){this.define({label:[s.String,\"Button\"],icon:[s.Instance],button_type:[s.ButtonType,\"default\"]})}}n.AbstractButton=a,a.__name__=\"AbstractButton\",a.init_AbstractButton()},\n",
       "      393: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(458),n=e(68);class i extends s.WidgetView{connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,()=>{for(const e of this.controls())n.toggle_attribute(e,\"disabled\",this.model.disabled)})}}o.ControlView=i,i.__name__=\"ControlView\";class l extends s.Widget{constructor(e){super(e)}}o.Control=l,l.__name__=\"Control\"},\n",
       "      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
       "      395: function _(e,t,c){Object.defineProperty(c,\"__esModule\",{value:!0});const s=e(71),n=e(66);class o extends n.DOMView{}c.AbstractIconView=o,o.__name__=\"AbstractIconView\";class _ extends s.Model{constructor(e){super(e)}}c.AbstractIcon=_,_.__name__=\"AbstractIcon\"},\n",
       "      396: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),s=e(397),h=e(68),_=i.__importStar(e(18)),o=e(10),u=e(146),r=e(255),c=i.__importDefault(e(257));class l extends s.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",e=>this._keydown(e)),this.input_el.addEventListener(\"keyup\",e=>this._keyup(e)),this.menu=h.div({class:[r.bk_menu,u.bk_below]}),this.menu.addEventListener(\"click\",e=>this._menu_click(e)),this.menu.addEventListener(\"mouseover\",e=>this._menu_hover(e)),this.el.appendChild(this.menu),h.undisplay(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu())}_update_completions(e){h.empty(this.menu);for(const t of e){const e=h.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(u.bk_active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,h.display(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,h.undisplay(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let i;i=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n",
       "      397: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),p=n.__importStar(e(18)),u=e(400);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n",
       "      398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n",
       "      399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n  margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n  position: relative;\\n  top: -2px;\\n  margin-left: 3px;\\n}\\n'},\n",
       "      400: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n",
       "      401: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(392),o=t(291);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n",
       "      402: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n",
       "      403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n",
       "      404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;n<i.length;n++){const s=o.input({type:\"checkbox\",value:\"\"+n});s.addEventListener(\"change\",()=>this.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n",
       "      405: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n",
       "      406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n",
       "      407: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(408)),a=e(398),l=e(68),o=n.__importStar(e(18)),r=e(8),d=e(400),c=n.__importDefault(e(409));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),c.default]}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:d.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=s.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:u(this.model.disabled_dates),enable:u(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=_,_.__name__=\"DatePickerView\";class h extends a.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=_,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=h,h.__name__=\"DatePicker\",h.init_DatePicker()},\n",
       "      408: function _(e,t,n){\n",
       "      /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n",
       "      /*! *****************************************************************************\n",
       "              Copyright (c) Microsoft Corporation. All rights reserved.\n",
       "              Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
       "              this file except in compliance with the License. You may obtain a copy of the\n",
       "              License at http://www.apache.org/licenses/LICENSE-2.0\n",
       "          \n",
       "              THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
       "              KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
       "              WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
       "              MERCHANTABLITY OR NON-INFRINGEMENT.\n",
       "          \n",
       "              See the Apache Version 2.0 License for specific language governing permissions\n",
       "              and limitations under the License.\n",
       "              ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var t,n=1,a=arguments.length;n<a;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)},t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],n={_disable:[],_enable:[],allowInput:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, Y\",clickOpens:!0,closeOnSelect:!0,conjunction:\", \",dateFormat:\"Y-m-d\",defaultHour:12,defaultMinute:0,defaultSeconds:0,disable:[],disableMobile:!1,enable:[],enableSeconds:!1,enableTime:!1,errorHandler:function(e){return\"undefined\"!=typeof 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n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var 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0!==n&&r.getTime()===n.getTime())return a;if(\"string\"==typeof r&&void 0!==n){var l=h.parseDate(r,void 0,!0);return l&&l.getTime()===n.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==n&&r.from&&r.to&&n.getTime()>=r.from.getTime()&&n.getTime()<=r.to.getTime())return a}return!a}function Q(e){return void 0!==h.daysContainer&&-1===e.className.indexOf(\"hidden\")&&h.daysContainer.contains(e)}function X(e){var t=e.target===h._input,n=h.config.allowInput,a=h.isOpen&&(!n||!t),i=h.config.inline&&t&&!n;if(13===e.keyCode&&t){if(n)return h.setDate(h._input.value,!0,e.target===h.altInput?h.config.altFormat:h.config.dateFormat),e.target.blur();h.open()}else if(z(e.target)||a||i){var o=!!h.timeContainer&&h.timeContainer.contains(e.target);switch(e.keyCode){case 13:o?(e.preventDefault(),x(),le()):ce(e);break;case 27:e.preventDefault(),le();break;case 8:case 46:t&&!h.config.allowInput&&(e.preventDefault(),h.clear());break;case 37:case 39:if(o||t)h.hourElement&&h.hourElement.focus();else if(e.preventDefault(),void 0!==h.daysContainer&&(!1===n||document.activeElement&&Q(document.activeElement))){var r=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),$(r),L(H(1),0)):L(void 0,r)}break;case 38:case 40:e.preventDefault();var l=40===e.keyCode?1:-1;h.daysContainer&&void 0!==e.target.$i||e.target===h.input||e.target===h.altInput?e.ctrlKey?(e.stopPropagation(),V(h.currentYear-l),L(H(1),0)):o||L(void 0,7*l):e.target===h.currentYearElement?V(h.currentYear-l):h.config.enableTime&&(!o&&h.hourElement&&h.hourElement.focus(),x(e),h._debouncedChange());break;case 9:if(o){var c=[h.hourElement,h.minuteElement,h.secondElement,h.amPM].concat(h.pluginElements).filter((function(e){return e})),d=c.indexOf(e.target);if(-1!==d){var s=c[d+(e.shiftKey?-1:1)];e.preventDefault(),(s||h._input).focus()}}else!h.config.noCalendar&&h.daysContainer&&h.daysContainer.contains(e.target)&&e.shiftKey&&(e.preventDefault(),h._input.focus())}}if(void 0!==h.amPM&&e.target===h.amPM)switch(e.key){case h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var 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-webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: rgba(0, 0, 0, 0.9);\\n  fill: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #959ea9;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(57, 57, 57, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(0, 0, 0, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(0, 0, 0, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: transparent;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n",
       "      410: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(159)),r=e(411);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n",
       "      411: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=i.__importStar(e(412)),r=i.__importStar(e(18)),o=e(68),n=e(9),a=e(393),d=e(413),h=e(400),_=i.__importDefault(e(414)),c=i.__importDefault(e(415));class u extends a.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:e,orientation:t,tooltips:s}=this.model.properties;this.on_change([e,t,s],()=>this.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n",
       "      412: function _(t,e,r){\n",
       "      /*! nouislider - 14.5.0 - 5/11/2020 */\n",
       "      var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function u(t,e){t.classList&&!/\\s/.test(e)?t.classList.add(e):t.className+=\" \"+e}function c(t,e){t.classList&&!/\\s/.test(e)?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function p(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function f(t,e){return 100/(e-t)}function d(t,e,r){return 100*e/(t[r+1]-t[r])}function h(t,e){for(var r=1;t>=e[r];)r+=1;return r}function m(t,e,r){if(r>=t.slice(-1)[0])return 100;var n=h(r,t),i=t[n-1],o=t[n],s=e[n-1],a=e[n];return s+function(t,e){return d(t,t[0]<0?e+Math.abs(t[0]):e-t[0],0)}([i,o],r)/f(s,a)}function g(t,e,r,n){if(100===n)return n;var i=h(n,t),o=t[i-1],s=t[i];return r?n-o>(s-o)/2?s:o:e[i-1]?t[i-1]+function(t,e){return Math.round(t/e)*e}(n-t[i-1],e[i-1]):n}function v(t,e,r){var n;if(\"number\"==typeof e&&(e=[e]),!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' contains invalid value.\");if(!i(n=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!i(e[0]))throw new Error(\"noUiSlider (14.5.0): 'range' value isn't numeric.\");r.xPct.push(n),r.xVal.push(e[0]),n?r.xSteps.push(!isNaN(e[1])&&e[1]):isNaN(e[1])||(r.xSteps[0]=e[1]),r.xHighestCompleteStep.push(0)}function x(t,e,r){if(e)if(r.xVal[t]!==r.xVal[t+1]){r.xSteps[t]=d([r.xVal[t],r.xVal[t+1]],e,0)/f(r.xPct[t],r.xPct[t+1]);var n=(r.xVal[t+1]-r.xVal[t])/r.xNumSteps[t],i=Math.ceil(Number(n.toFixed(3))-1),o=r.xVal[t]+r.xNumSteps[t]*i;r.xHighestCompleteStep[t]=o}else r.xSteps[t]=r.xHighestCompleteStep[t]=r.xVal[t]}function b(t,e,r){var n;this.xPct=[],this.xVal=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.xHighestCompleteStep=[],this.snap=e;var i=[];for(n in t)t.hasOwnProperty(n)&&i.push([t[n],n]);for(i.length&&\"object\"==typeof i[0][0]?i.sort((function(t,e){return t[0][0]-e[0][0]})):i.sort((function(t,e){return t[0]-e[0]})),n=0;n<i.length;n++)v(i[n][1],i[n][0],this);for(this.xNumSteps=this.xSteps.slice(0),n=0;n<this.xNumSteps.length;n++)x(n,this.xNumSteps[n],this)}b.prototype.getDistance=function(t){var e,r=[];for(e=0;e<this.xNumSteps.length-1;e++){var n=this.xNumSteps[e];if(n&&t/n%1!=0)throw new Error(\"noUiSlider (14.5.0): 'limit', 'margin' and 'padding' of \"+this.xPct[e]+\"% range must be divisible by step.\");r[e]=d(this.xVal,t,e)}return r},b.prototype.getAbsoluteDistance=function(t,e,r){var n,i=0;if(t<this.xPct[this.xPct.length-1])for(;t>this.xPct[i+1];)i++;else t===this.xPct[this.xPct.length-1]&&(i=this.xPct.length-2);r||t!==this.xPct[i+1]||i++;var o=1,s=e[i],a=0,l=0,u=0,c=0;for(n=r?(t-this.xPct[i])/(this.xPct[i+1]-this.xPct[i]):(this.xPct[i+1]-t)/(this.xPct[i+1]-this.xPct[i]);s>0;)a=this.xPct[i+1+c]-this.xPct[i+c],e[i+c]*o+100-100*n>100?(l=a*n,o=(s-100*n)/e[i+c],n=1):(l=e[i+c]*a/100*o,o=0),r?(u-=l,this.xPct.length+c>=1&&c--):(u+=l,this.xPct.length-c>=1&&c++),s=e[i+c]*o;return t+u},b.prototype.toStepping=function(t){return t=m(this.xVal,this.xPct,t)},b.prototype.fromStepping=function(t){return function(t,e,r){if(r>=100)return t.slice(-1)[0];var n=h(r,e),i=t[n-1],o=t[n],s=e[n-1];return function(t,e){return e*(t[1]-t[0])/100+t[0]}([i,o],(r-s)*f(s,e[n]))}(this.xVal,this.xPct,t)},b.prototype.getStep=function(t){return t=g(this.xPct,this.xSteps,this.snap,t)},b.prototype.getDefaultStep=function(t,e,r){var n=h(t,this.xPct);return(100===t||e&&t===this.xPct[n-1])&&(n=Math.max(n-1,1)),(this.xVal[n]-this.xVal[n-1])/r},b.prototype.getNearbySteps=function(t){var e=h(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e],step:this.xNumSteps[e],highestStep:this.xHighestCompleteStep[e]}}},b.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(l);return Math.max.apply(null,t)},b.prototype.convert=function(t){return this.getStep(this.toStepping(t))};var S={to:function(t){return void 0!==t&&t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"};function y(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof t.to&&\"function\"==typeof t.from}(t))return!0;throw new Error(\"noUiSlider (14.5.0): 'format' requires 'to' and 'from' methods.\")}function E(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'step' is not numeric.\");t.singleStep=e}function C(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider (14.5.0): Missing 'min' or 'max' in 'range'.\");if(e.min===e.max)throw new Error(\"noUiSlider (14.5.0): 'range' 'min' and 'max' cannot be equal.\");t.spectrum=new b(e,t.snap,t.singleStep)}function N(t,e){if(e=a(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider (14.5.0): 'start' option is incorrect.\");t.handles=e.length,t.start=e}function P(t,e){if(t.snap=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'snap' option must be a boolean.\")}function U(t,e){if(t.animate=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animate' option must be a boolean.\")}function A(t,e){if(t.animationDuration=e,\"number\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animationDuration' option must be a number.\")}function V(t,e){var r,n=[!1];if(\"lower\"===e?e=[!0,!1]:\"upper\"===e&&(e=[!1,!0]),!0===e||!1===e){for(r=1;r<t.handles;r++)n.push(e);n.push(!1)}else{if(!Array.isArray(e)||!e.length||e.length!==t.handles+1)throw new Error(\"noUiSlider (14.5.0): 'connect' option doesn't match handle count.\");n=e}t.connect=n}function k(t,e){switch(e){case\"horizontal\":t.ort=0;break;case\"vertical\":t.ort=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'orientation' option is invalid.\")}}function D(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'margin' option must be numeric.\");0!==e&&(t.margin=t.spectrum.getDistance(e))}function M(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'limit' option must be numeric.\");if(t.limit=t.spectrum.getDistance(e),!t.limit||t.handles<2)throw new Error(\"noUiSlider (14.5.0): 'limit' option is only supported on linear sliders with 2 or more handles.\")}function O(t,e){var r;if(!i(e)&&!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'padding' option must be numeric or array of exactly 2 numbers.\");if(Array.isArray(e)&&2!==e.length&&!i(e[0])&&!i(e[1]))throw new Error(\"noUiSlider (14.5.0): 'padding' option must be numeric or array of exactly 2 numbers.\");if(0!==e){for(Array.isArray(e)||(e=[e,e]),t.padding=[t.spectrum.getDistance(e[0]),t.spectrum.getDistance(e[1])],r=0;r<t.spectrum.xNumSteps.length-1;r++)if(t.padding[0][r]<0||t.padding[1][r]<0)throw new Error(\"noUiSlider (14.5.0): 'padding' option must be a positive number(s).\");var n=e[0]+e[1],o=t.spectrum.xVal[0];if(n/(t.spectrum.xVal[t.spectrum.xVal.length-1]-o)>1)throw new Error(\"noUiSlider (14.5.0): 'padding' option must not exceed 100% of the range.\")}}function L(t,e){switch(e){case\"ltr\":t.dir=0;break;case\"rtl\":t.dir=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'direction' 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t.to))throw new Error(\"noUiSlider (14.5.0): 'tooltips' must be passed a formatter or 'false'.\")}))}}function j(t,e){t.ariaFormat=e,y(e)}function F(t,e){t.format=e,y(e)}function R(t,e){if(t.keyboardSupport=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'keyboardSupport' option must be a boolean.\")}function T(t,e){t.documentElement=e}function B(t,e){if(\"string\"!=typeof e&&!1!==e)throw new Error(\"noUiSlider (14.5.0): 'cssPrefix' must be a string or `false`.\");t.cssPrefix=e}function q(t,e){if(\"object\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'cssClasses' must be an object.\");if(\"string\"==typeof t.cssPrefix)for(var r in t.cssClasses={},e)e.hasOwnProperty(r)&&(t.cssClasses[r]=t.cssPrefix+e[r]);else t.cssClasses=e}function X(t){var 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       "      414: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root {\\n  /*! nouislider - 14.5.0 - 5/11/2020 */\\n  /* Functional styling;\\n * These styles are required for noUiSlider to function.\\n * You don't need to change these rules to apply your design.\\n */\\n  /* Wrapper for all connect elements.\\n */\\n  /* Offset direction\\n */\\n  /* Give origins 0 height/width so they don't interfere with clicking the\\n * connect elements.\\n */\\n  /* Slider size and handle placement;\\n */\\n  /* Styling;\\n * Giving the connect element a border radius causes issues with using transform: scale\\n */\\n  /* Handles and cursors;\\n */\\n  /* Handle stripes;\\n */\\n  /* Disabled state;\\n */\\n  /* Base;\\n *\\n */\\n  /* Values;\\n *\\n */\\n  /* Markings;\\n *\\n */\\n  /* Horizontal layout;\\n *\\n */\\n  /* Vertical layout;\\n *\\n */\\n}\\n.bk-root .noUi-target,\\n.bk-root .noUi-target * {\\n  -webkit-touch-callout: none;\\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\\n  -webkit-user-select: none;\\n  -ms-touch-action: none;\\n  touch-action: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  user-select: none;\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-target {\\n  position: relative;\\n}\\n.bk-root .noUi-base,\\n.bk-root .noUi-connects {\\n  width: 100%;\\n  height: 100%;\\n  position: relative;\\n  z-index: 1;\\n}\\n.bk-root .noUi-connects {\\n  overflow: hidden;\\n  z-index: 0;\\n}\\n.bk-root .noUi-connect,\\n.bk-root .noUi-origin {\\n  will-change: transform;\\n  position: absolute;\\n  z-index: 1;\\n  top: 0;\\n  right: 0;\\n  -ms-transform-origin: 0 0;\\n  -webkit-transform-origin: 0 0;\\n  -webkit-transform-style: preserve-3d;\\n  transform-origin: 0 0;\\n  transform-style: flat;\\n}\\n.bk-root .noUi-connect {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-origin {\\n  height: 10%;\\n  width: 10%;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-origin {\\n  left: 0;\\n  right: auto;\\n}\\n.bk-root .noUi-vertical .noUi-origin {\\n  width: 0;\\n}\\n.bk-root .noUi-horizontal .noUi-origin {\\n  height: 0;\\n}\\n.bk-root .noUi-handle {\\n  -webkit-backface-visibility: hidden;\\n  backface-visibility: hidden;\\n  position: absolute;\\n}\\n.bk-root .noUi-touch-area {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-state-tap .noUi-connect,\\n.bk-root .noUi-state-tap .noUi-origin {\\n  -webkit-transition: transform 0.3s;\\n  transition: transform 0.3s;\\n}\\n.bk-root .noUi-state-drag * {\\n  cursor: inherit !important;\\n}\\n.bk-root .noUi-horizontal {\\n  height: 18px;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 34px;\\n  height: 28px;\\n  right: -17px;\\n  top: -6px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 18px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 28px;\\n  height: 34px;\\n  right: -6px;\\n  top: -17px;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle {\\n  left: -17px;\\n  right: auto;\\n}\\n.bk-root .noUi-target {\\n  background: #FAFAFA;\\n  border-radius: 4px;\\n  border: 1px solid #D3D3D3;\\n  box-shadow: inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;\\n}\\n.bk-root .noUi-connects {\\n  border-radius: 3px;\\n}\\n.bk-root .noUi-connect {\\n  background: #3FB8AF;\\n}\\n.bk-root .noUi-draggable {\\n  cursor: ew-resize;\\n}\\n.bk-root .noUi-vertical .noUi-draggable {\\n  cursor: ns-resize;\\n}\\n.bk-root .noUi-handle {\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #FFF;\\n  cursor: default;\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-active {\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-handle:before,\\n.bk-root .noUi-handle:after {\\n  content: \\\"\\\";\\n  display: block;\\n  position: absolute;\\n  height: 14px;\\n  width: 1px;\\n  background: #E8E7E6;\\n  left: 14px;\\n  top: 6px;\\n}\\n.bk-root .noUi-handle:after {\\n  left: 17px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:before,\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  width: 14px;\\n  height: 1px;\\n  left: 6px;\\n  top: 14px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  top: 17px;\\n}\\n.bk-root [disabled] .noUi-connect {\\n  background: #B8B8B8;\\n}\\n.bk-root [disabled].noUi-target,\\n.bk-root [disabled].noUi-handle,\\n.bk-root [disabled] .noUi-handle {\\n  cursor: not-allowed;\\n}\\n.bk-root .noUi-pips,\\n.bk-root .noUi-pips * {\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-pips {\\n  position: absolute;\\n  color: #999;\\n}\\n.bk-root .noUi-value {\\n  position: absolute;\\n  white-space: nowrap;\\n  text-align: center;\\n}\\n.bk-root .noUi-value-sub {\\n  color: #ccc;\\n  font-size: 10px;\\n}\\n.bk-root .noUi-marker {\\n  position: absolute;\\n  background: #CCC;\\n}\\n.bk-root .noUi-marker-sub {\\n  background: #AAA;\\n}\\n.bk-root .noUi-marker-large {\\n  background: #AAA;\\n}\\n.bk-root .noUi-pips-horizontal {\\n  padding: 10px 0;\\n  height: 80px;\\n  top: 100%;\\n  left: 0;\\n  width: 100%;\\n}\\n.bk-root .noUi-value-horizontal {\\n  -webkit-transform: translate(-50%, 50%);\\n  transform: translate(-50%, 50%);\\n}\\n.bk-root .noUi-rtl .noUi-value-horizontal {\\n  -webkit-transform: translate(50%, 50%);\\n  transform: translate(50%, 50%);\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker {\\n  margin-left: -1px;\\n  width: 2px;\\n  height: 5px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-sub {\\n  height: 10px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-large {\\n  height: 15px;\\n}\\n.bk-root .noUi-pips-vertical {\\n  padding: 0 10px;\\n  height: 100%;\\n  top: 0;\\n  left: 100%;\\n}\\n.bk-root .noUi-value-vertical {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  padding-left: 25px;\\n}\\n.bk-root .noUi-rtl .noUi-value-vertical {\\n  -webkit-transform: translate(0, 50%);\\n  transform: translate(0, 50%);\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker {\\n  width: 5px;\\n  height: 2px;\\n  margin-top: -1px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-sub {\\n  width: 10px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-large {\\n  width: 15px;\\n}\\n.bk-root .noUi-tooltip {\\n  display: block;\\n  position: absolute;\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #fff;\\n  color: #000;\\n  padding: 5px;\\n  text-align: center;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-horizontal .noUi-tooltip {\\n  -webkit-transform: translate(-50%, 0);\\n  transform: translate(-50%, 0);\\n  left: 50%;\\n  bottom: 120%;\\n}\\n.bk-root .noUi-vertical .noUi-tooltip {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  top: 50%;\\n  right: 120%;\\n}\\n.bk-root .noUi-horizontal .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 18px;\\n  height: 14px;\\n  right: -5px;\\n  top: -7px;\\n}\\n.bk-root .noUi-target.noUi-horizontal {\\n  margin: 5px 0px;\\n}\\n.bk-root .noUi-target.noUi-vertical {\\n  margin: 0px 5px;\\n}\\n\"},\n",
       "      415: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root .bk-slider-title {\\n  white-space: nowrap;\\n}\\n.bk-root .bk-slider-value {\\n  font-weight: 600;\\n}\\n\"},\n",
       "      416: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(159)),a=e(411);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n",
       "      417: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(418),n=r.__importStar(e(18));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n",
       "      418: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(193),n=e(68),l=i.__importStar(e(18)),r=e(458),_=e(419),c=i.__importDefault(e(420));class u extends r.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()})}styles(){return[...super.styles(),c.default]}_update_layout(){this.layout=new a.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=n.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}s.MarkupView=u,u.__name__=\"MarkupView\";class o extends r.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[l.String,\"\"],style:[l.Any,{}]})}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n",
       "      419: function _(e,c,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.bk_clearfix=\"bk-clearfix\"},\n",
       "      420: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n  content: \"\";\\n  display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n  clear: both;\\n}\\n'},\n",
       "      421: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n",
       "      422: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(18)),s=e(458);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s<e.length;s++){i.push(e[s].name);const n=await this.readfile(e[s]),[,o,,a]=n.split(/[:;,]/,4);t.push(a),l.push(o)}this.model.multiple?(this.model.filename=i,this.model.mime_type=l,this.model.value=t):(this.model.filename=i[0],this.model.mime_type=l[0],this.model.value=t[0])}readfile(e){return new Promise((t,i)=>{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},l.readAsDataURL(e)})}}i.FileInputView=n,n.__name__=\"FileInputView\";class o extends s.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=n,this.define({value:[l.Any,\"\"],mime_type:[l.Any,\"\"],filename:[l.Any,\"\"],accept:[l.String,\"\"],multiple:[l.Boolean,!1]})}}i.FileInput=o,o.__name__=\"FileInput\",o.init_FileInput()},\n",
       "      423: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(68),l=e(8),o=i.__importStar(e(18)),c=e(398),r=e(400);class h extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.MultiSelectView=h,h.__name__=\"MultiSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=h,this.define({value:[o.Array,[]],options:[o.Array,[]],size:[o.Number,4]})}}s.MultiSelect=d,d.__name__=\"MultiSelect\",d.init_MultiSelect()},\n",
       "      424: function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=a(418),p=a(68);class s extends t.MarkupView{render(){super.render();const a=p.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}r.ParagraphView=s,s.__name__=\"ParagraphView\";class i extends t.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n",
       "      425: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(397);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n",
       "      426: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=s.__importDefault(e(427)),o=e(68),n=e(8),h=s.__importStar(e(18)),r=e(400),c=s.__importDefault(e(428)),d=e(398);class a extends d.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled()),this.connect(this.model.properties.max_items.change,()=>this.render()),this.connect(this.model.properties.option_limit.change,()=>this.render()),this.connect(this.model.properties.delete_button.change,()=>this.render()),this.connect(this.model.properties.placeholder.change,()=>this.render()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render())}styles(){return[...super.styles(),c.default]}render(){super.render();const e=this.model.options.map(e=>{let t,i;return n.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)});this.select_el=o.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.group_el.appendChild(this.select_el),this.render_selection();let t=\"choices__item\",i=\"choices__button\";this.model.solid?(t+=\" solid\",i+=\" solid\"):(t+=\" light\",i+=\" light\");const s={removeItemButton:this.model.delete_button,classNames:{item:t,button:i}};null!==this.model.placeholder&&(s.placeholderValue=this.model.placeholder),null!==this.model.max_items&&(s.maxItemCount=this.model.max_items),null!==this.model.option_limit&&(s.renderChoiceLimit=this.model.option_limit),this.choice_el=new l.default(this.select_el,s),this.select_el.addEventListener(\"change\",()=>this.change_input())}render_selection(){const e=new Set(this.model.value);for(const t of Array.from(this.el.querySelectorAll(\"option\")))t.selected=e.has(t.value)}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of Array.from(this.el.querySelectorAll(\"option\")))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}i.MultiChoiceView=a,a.__name__=\"MultiChoiceView\";class u extends d.InputWidget{constructor(e){super(e)}static init_MultiChoice(){this.prototype.default_view=a,this.define({value:[h.Array,[]],options:[h.Array,[]],max_items:[h.Number,null],delete_button:[h.Boolean,!0],placeholder:[h.String,null],option_limit:[h.Number,null],solid:[h.Boolean,!0]})}}i.MultiChoice=u,u.__name__=\"MultiChoice\",u.init_MultiChoice()},\n",
       "      427: function _(e,t,i){\n",
       "      /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n",
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       "      /*!\n",
       "                       * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n",
       "                       *\n",
       "                       * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n",
       "                       * All Rights Reserved. Apache Software License 2.0\n",
       "                       *\n",
       "                       * http://www.apache.org/licenses/LICENSE-2.0\n",
       "                       */\n",
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a.dataset.type=r,t&&(a.dir=t),n&&(a.tabIndex=0),i&&(a.setAttribute(\"role\",s?\"combobox\":\"listbox\"),s&&a.setAttribute(\"aria-autocomplete\",\"list\")),a.setAttribute(\"aria-haspopup\",\"true\"),a.setAttribute(\"aria-expanded\",\"false\"),a},containerInner:function(e){var t=e.containerInner;return Object.assign(document.createElement(\"div\"),{className:t})},itemList:function(e,t){var i=e.list,n=e.listSingle,s=e.listItems;return Object.assign(document.createElement(\"div\"),{className:i+\" \"+(t?n:s)})},placeholder:function(e,t){var i=e.placeholder;return Object.assign(document.createElement(\"div\"),{className:i,innerHTML:t})},item:function(e,t,i){var n=e.item,s=e.button,r=e.highlightedState,o=e.itemSelectable,a=e.placeholder,c=t.id,l=t.value,h=t.label,u=t.customProperties,d=t.active,p=t.disabled,m=t.highlighted,f=t.placeholder,v=Object.assign(document.createElement(\"div\"),{className:n,innerHTML:h});if(Object.assign(v.dataset,{item:\"\",id:c,value:l,customProperties:u}),d&&v.setAttribute(\"aria-selected\",\"true\"),p&&v.setAttribute(\"aria-disabled\",\"true\"),f&&v.classList.add(a),v.classList.add(m?r:o),i){p&&v.classList.remove(o),v.dataset.deletable=\"\";var g=Object.assign(document.createElement(\"button\"),{type:\"button\",className:s,innerHTML:\"Remove item\"});g.setAttribute(\"aria-label\",\"Remove item: '\"+l+\"'\"),g.dataset.button=\"\",v.appendChild(g)}return v},choiceList:function(e,t){var i=e.list,n=Object.assign(document.createElement(\"div\"),{className:i});return t||n.setAttribute(\"aria-multiselectable\",\"true\"),n.setAttribute(\"role\",\"listbox\"),n},choiceGroup:function(e,t){var i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=\"text\"===h.type,this._isSelectOneElement=\"select-one\"===h.type,this._isSelectMultipleElement=\"select-multiple\"===h.type,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n",
       "      428: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n",
       "      429: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(418),i=e(68);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n",
       "      430: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(403),n=t(68),u=i.__importStar(t(18)),s=t(146);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n",
       "      431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n",
       "      432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n",
       "      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n",
       "      434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n",
       "      435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n",
       "      436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n",
       "      437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n",
       "      }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n",
       "      })\n",
       "\n",
       "\n",
       "      /* END bokeh-widgets.min.js */\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      /* BEGIN bokeh-tables.min.js */\n",
       "      /*!\n",
       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
       "       * All rights reserved.\n",
       "       * \n",
       "       * Redistribution and use in source and binary forms, with or without modification,\n",
       "       * are permitted provided that the following conditions are met:\n",
       "       * \n",
       "       * Redistributions of source code must retain the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer.\n",
       "       * \n",
       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer in the documentation\n",
       "       * and/or other materials provided with the distribution.\n",
       "       * \n",
       "       * Neither the name of Anaconda nor the names of any contributors\n",
       "       * may be used to endorse or promote products derived from this software\n",
       "       * without specific prior written permission.\n",
       "       * \n",
       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
       "      */\n",
       "      (function(root, factory) {\n",
       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
       "      })(this, function(Bokeh, version) {\n",
       "        var define;\n",
       "        return (function(modules, entry, aliases, externals) {\n",
       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
       "          if (bokeh != null) {\n",
       "            return bokeh.register_plugin(modules, entry, aliases);\n",
       "          } else {\n",
       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
       "          }\n",
       "        })\n",
       "      ({\n",
       "      438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n",
       "      439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n",
       "      440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n",
       "      441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n",
       "      442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,l=0;l<e.length;l++)n.push(new r.Range(e[l],0,e[l],o));return n}function w(){return f(i)}function g(e){(i&&0!==i.length||e&&0!==e.length)&&(i=e,c.onSelectedRangesChanged.notify(i))}function v(e,n){l.selectActiveRow&&null!=n.row&&g([new r.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==r.keyCode.UP||e.which==r.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var l,i=o[0],c=o[o.length-1];if((l=e.which==r.keyCode.DOWN?n.row<c||i==c?++c:++i:n.row<c?--c:--i)>=0&&l<t.getDataLength())t.scrollRowIntoView(l),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(i,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var r=f(i),l=o.inArray(n.row,r);if(-1===l&&(e.ctrlKey||e.metaKey))r.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==l&&(e.ctrlKey||e.metaKey))r=o.grep(r,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(r.length&&e.shiftKey){var c=r.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);r=[];for(var a=u;a<=s;a++)a!==c&&r.push(a);r.push(c),t.setActiveCell(n.row,n.cell)}return g(h(r)),e.stopImmediatePropagation(),!0}o.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return i},setSelectedRanges:g,init:function(n){l=o.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},onSelectedRangesChanged:new r.Event})}}},\n",
       "      443: function _(e,n,f){n.exports=\"undefined\"!=typeof $?$:e(444)},\n",
       "      444: function _(e,t,n){\n",
       "      /*!\n",
       "           * jQuery JavaScript Library v3.5.0\n",
       "           * https://jquery.com/\n",
       "           *\n",
       "           * Includes Sizzle.js\n",
       "           * https://sizzlejs.com/\n",
       "           *\n",
       "           * Copyright JS Foundation and other contributors\n",
       "           * Released under the MIT license\n",
       "           * https://jquery.org/license\n",
       "           *\n",
       "           * Date: 2020-04-10T15:07Z\n",
       "           */\n",
       "      !function(e,n){\"use strict\";\"object\"==typeof t&&\"object\"==typeof t.exports?t.exports=e.document?n(e,!0):function(e){if(!e.document)throw new Error(\"jQuery requires a window with a document\");return n(e)}:n(e)}(\"undefined\"!=typeof window?window:this,(function(e,t){\"use strict\";var n=[],r=Object.getPrototypeOf,i=n.slice,o=n.flat?function(e){return n.flat.call(e)}:function(e){return n.concat.apply([],e)},a=n.push,s=n.indexOf,u={},l=u.toString,c=u.hasOwnProperty,f=c.toString,p=f.call(Object),d={},h=function(e){return\"function\"==typeof e&&\"number\"!=typeof e.nodeType},g=function(e){return null!=e&&e===e.window},v=e.document,y={type:!0,src:!0,nonce:!0,noModule:!0};function m(e,t,n){var r,i,o=(n=n||v).createElement(\"script\");if(o.text=e,t)for(r in y)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function x(e){return null==e?e+\"\":\"object\"==typeof e||\"function\"==typeof e?u[l.call(e)]||\"object\":typeof e}var b=function(e,t){return new b.fn.init(e,t)};function w(e){var t=!!e&&\"length\"in e&&e.length,n=x(e);return!h(e)&&!g(e)&&(\"array\"===n||0===t||\"number\"==typeof t&&t>0&&t-1 in e)}b.fn=b.prototype={jquery:\"3.5.0\",constructor:b,length:0,toArray:function(){return i.call(this)},get:function(e){return null==e?i.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=b.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return b.each(this,e)},map:function(e){return this.pushStack(b.map(this,(function(t,n){return e.call(t,n,t)})))},slice:function(){return this.pushStack(i.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(b.grep(this,(function(e,t){return(t+1)%2})))},odd:function(){return this.pushStack(b.grep(this,(function(e,t){return t%2})))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(n>=0&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:a,sort:n.sort,splice:n.splice},b.extend=b.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for(\"boolean\"==typeof a&&(l=a,a=arguments[s]||{},s++),\"object\"==typeof a||h(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],\"__proto__\"!==t&&a!==r&&(l&&r&&(b.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||b.isPlainObject(n)?n:{},i=!1,a[t]=b.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},b.extend({expando:\"jQuery\"+(\"3.5.0\"+Math.random()).replace(/\\D/g,\"\"),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||\"[object Object]\"!==l.call(e))&&(!(t=r(e))||\"function\"==typeof(n=c.call(t,\"constructor\")&&t.constructor)&&f.call(n)===p)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){m(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(w(e))for(n=e.length;r<n&&!1!==t.call(e[r],r,e[r]);r++);else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(w(Object(e))?b.merge(n,\"string\"==typeof e?[e]:e):a.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:s.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,a=0,s=[];if(w(e))for(r=e.length;a<r;a++)null!=(i=t(e[a],a,n))&&s.push(i);else for(a in e)null!=(i=t(e[a],a,n))&&s.push(i);return o(s)},guid:1,support:d}),\"function\"==typeof Symbol&&(b.fn[Symbol.iterator]=n[Symbol.iterator]),b.each(\"Boolean Number String Function Array Date RegExp Object Error Symbol\".split(\" \"),(function(e,t){u[\"[object \"+t+\"]\"]=t.toLowerCase()}));var T=\n",
       "      /*!\n",
       "               * Sizzle CSS Selector Engine v2.3.5\n",
       "               * https://sizzlejs.com/\n",
       "               *\n",
       "               * Copyright JS Foundation and other contributors\n",
       "               * Released under the MIT license\n",
       "               * https://js.foundation/\n",
       "               *\n",
       "               * Date: 2020-03-14\n",
       "               */\n",
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       "      445: function _(t,i,n){function o(){var t=!1,i=!1;this.stopPropagation=function(){t=!0},this.isPropagationStopped=function(){return t},this.stopImmediatePropagation=function(){i=!0},this.isImmediatePropagationStopped=function(){return i}}function e(){this.__nonDataRow=!0}function r(){this.__group=!0,this.level=0,this.count=0,this.value=null,this.title=null,this.collapsed=!1,this.selectChecked=!1,this.totals=null,this.rows=[],this.groups=null,this.groupingKey=null}function s(){this.__groupTotals=!0,this.group=null,this.initialized=!1}function l(){var t=null;this.isActive=function(i){return i?t===i:null!==t},this.activate=function(i){if(i!==t){if(null!==t)throw new Error(\"SlickGrid.EditorLock.activate: an editController is still active, can't activate another editController\");if(!i.commitCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .commitCurrentEdit()\");if(!i.cancelCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .cancelCurrentEdit()\");t=i}},this.deactivate=function(i){if(t!==i)throw new Error(\"SlickGrid.EditorLock.deactivate: specified editController is not the currently active one\");t=null},this.commitCurrentEdit=function(){return!t||t.commitCurrentEdit()},this.cancelCurrentEdit=function(){return!t||t.cancelCurrentEdit()}}r.prototype=new e,r.prototype.equals=function(t){return this.value===t.value&&this.count===t.count&&this.collapsed===t.collapsed&&this.title===t.title},s.prototype=new e,i.exports={Event:function(){var t=[];this.subscribe=function(i){t.push(i)},this.unsubscribe=function(i){for(var n=t.length-1;n>=0;n--)t[n]===i&&t.splice(n,1)},this.notify=function(i,n,e){var r;n=n||new o,e=e||this;for(var s=0;s<t.length&&!n.isPropagationStopped()&&!n.isImmediatePropagationStopped();s++)r=t[s].call(e,n,i);return r}},EventData:o,EventHandler:function(){var t=[];this.subscribe=function(i,n){return t.push({event:i,handler:n}),i.subscribe(n),this},this.unsubscribe=function(i,n){for(var o=t.length;o--;)if(t[o].event===i&&t[o].handler===n)return t.splice(o,1),void i.unsubscribe(n);return this},this.unsubscribeAll=function(){for(var i=t.length;i--;)t[i].event.unsubscribe(t[i].handler);return t=[],this}},Range:function(t,i,n,o){void 0===n&&void 0===o&&(n=t,o=i),this.fromRow=Math.min(t,n),this.fromCell=Math.min(i,o),this.toRow=Math.max(t,n),this.toCell=Math.max(i,o),this.isSingleRow=function(){return this.fromRow==this.toRow},this.isSingleCell=function(){return this.fromRow==this.toRow&&this.fromCell==this.toCell},this.contains=function(t,i){return t>=this.fromRow&&t<=this.toRow&&i>=this.fromCell&&i<=this.toCell},this.toString=function(){return this.isSingleCell()?\"(\"+this.fromRow+\":\"+this.fromCell+\")\":\"(\"+this.fromRow+\":\"+this.fromCell+\" - \"+this.toRow+\":\"+this.toCell+\")\"}},NonDataRow:e,Group:r,GroupTotals:s,EditorLock:l,GlobalEditorLock:new l,keyCode:{BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,C:67,V:86},preClickClassName:\"slick-edit-preclick\"}},\n",
       "      446: function _(e,t,o){var l=e(443),c=e(445);t.exports={CheckboxSelectColumn:function(e){var t,o=g(),n=new c.EventHandler,i={},r=!1,d=l.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function a(){t.updateColumnHeader(d.columnId,\"\",\"\")}function s(){l(\"#filter-checkbox-selectall-container\").hide()}function u(e,c){var n,a,s=t.getSelectedRows(),u={};for(a=0;a<s.length;a++)u[n=s[a]]=!0,u[n]!==i[n]&&(t.invalidateRow(n),delete i[n]);for(a in i)t.invalidateRow(a);(i=u,t.render(),r=s.length&&s.length==t.getDataLength(),d.hideInColumnTitleRow||d.hideSelectAllCheckbox||(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip)),d.hideInFilterHeaderRow)||l(\"#header-filter-selector\"+o).prop(\"checked\",r)}function h(e,o){32==e.which&&t.getColumns()[o.cell].id===d.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||p(o.row),e.preventDefault(),e.stopImmediatePropagation())}function f(e,o){if(t.getColumns()[o.cell].id===d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();p(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function p(e){i[e]?t.setSelectedRows(l.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===m){m=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==d.columnId&&(m=o)}return m}()),t.focus()}function b(e,o){if(o.column.id==d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var c=[],n=0;n<t.getDataLength();n++)c.push(n);t.setSelectedRows(c)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}var m=null;function g(){return Math.round(1e7*Math.random())}function k(e,t,o,l,c){var n=g()+e;return c?i[e]?\"<input id='selector\"+n+\"' type='checkbox' checked='checked'><label for='selector\"+n+\"'></label>\":\"<input id='selector\"+n+\"' type='checkbox'><label for='selector\"+n+\"'></label>\":null}l.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,u).subscribe(t.onClick,f).subscribe(t.onKeyDown,h),d.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+o+\"' type='checkbox'><label for='header-filter-selector\"+o+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){b(e,t)})))}))}(e),d.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,b)},destroy:function(){n.unsubscribeAll()},deSelectRows:function(e){var o,c=e.length,n=[];for(o=0;o<c;o++)i[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,c=[];for(o=0;o<l;o++)i[e[o]]||(c[c.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(c))},getColumnDefinition:function(){return{id:d.columnId,name:d.hideSelectAllCheckbox||d.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",toolTip:d.toolTip,field:\"sel\",width:d.width,resizable:!1,sortable:!1,cssClass:d.cssClass,hideSelectAllCheckbox:d.hideSelectAllCheckbox,formatter:k}},getOptions:function(){return d},setOptions:function(e){if((d=l.extend(!0,{},d,e)).hideSelectAllCheckbox)a(),s();else if(d.hideInColumnTitleRow?a():(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip),n.subscribe(t.onHeaderClick,b)),d.hideInFilterHeaderRow)s();else{var c=l(\"#filter-checkbox-selectall-container\");c.show(),c.find('input[type=\"checkbox\"]').prop(\"checked\",r)}}})}}},\n",
       "      447: function _(e,t,o){var l=e(443),n=e(445),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!=(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(\"\"==D&&i.includeHeaderWhenCopying){for(var V=[],E=y.fromCell;E<y.toCell+1;E++)s[E].name.length>0&&V.push(C(s[E]));D.push(V.join(\"\\t\"))}for(E=y.fromCell;E<y.toCell+1;E++)R.push(m(x,s[E],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"==l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!=l[s]?n[a++]=l[s].split(\"\\t\"):n[s]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var V={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(V):V.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n",
       "      448: function _(r,t,o){var _=r(1);_.__exportStar(r(445),t.exports),_.__exportStar(r(449),t.exports),_.__exportStar(r(452),t.exports),_.__exportStar(r(453),t.exports),_.__exportStar(r(454),t.exports),_.__exportStar(r(455),t.exports),_.__exportStar(r(456),t.exports)},\n",
       "      449: function _(require,module,exports){\n",
       "      /**\n",
       "           * @license\n",
       "           * (c) 2009-2016 Michael Leibman\n",
       "           * michael{dot}leibman{at}gmail{dot}com\n",
       "           * http://github.com/mleibman/slickgrid\n",
       "           *\n",
       "           * Distributed under MIT license.\n",
       "           * All rights reserved.\n",
       "           *\n",
       "           * SlickGrid v2.3\n",
       "           *\n",
       "           * NOTES:\n",
       "           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n",
       "           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n",
       "           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n",
       "           *     and do proper cleanup.\n",
       "           */\n",
       "      var $=require(443),Slick=require(445),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(450),$.fn.drop||require(451);var defaults={alwaysShowVerticalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacer,$footerRow,$footerRowScroller,$footerRowSpacer,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,tabbingDirection=1,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,columnsById={};for(var e=0;e<columns.length;e++){var o=columns[e]=$.extend({},columnDefaults,columns[e]);columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth)}if(options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($container),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),options.showPreHeaderPanel||$preHeaderPanelScroller.hide()),$headerScroller=$(\"<div class='slick-header ui-state-default' />\").appendTo($container),$headers=$(\"<div class='slick-header-columns' style='left:-1000px' />\").appendTo($headerScroller),$headerRowScroller=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($container),$headerRow=$(\"<div class='slick-headerrow-columns' />\").appendTo($headerRowScroller),$headerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScroller),$topPanelScroller=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($container),$topPanel=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScroller),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),($viewport=$(\"<div class='slick-viewport' style='width:100%;overflow:auto;outline:0;position:relative;;'>\").appendTo($container)).css(\"overflow-y\",options.alwaysShowVerticalScroll?\"scroll\":options.autoHeight?\"hidden\":\"auto\"),$viewport.css(\"overflow-x\",options.forceFitColumns?\"hidden\":\"auto\"),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$(\"<div class='grid-canvas' />\").appendTo($viewport),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScroller=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($container),$footerRow=$(\"<div class='slick-footerrow-columns' />\").appendTo($footerRowScroller),$footerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScroller),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,viewportW=parseFloat($.css($container[0],\"width\",!0)),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),updateColumnCaches(),createColumnHeaders(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&$footerRowScroller.on(\"scroll\",handleFooterRowScroll),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),navigator.userAgent.toLowerCase().match(/webkit/)&&navigator.userAgent.toLowerCase().match(/macintosh/)&&$canvas.on(\"mousewheel\",handleMouseWheel),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(){return $canvas[0]}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo($viewport),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getColumnTotalWidth(e){for(var o=0,t=0,l=columns.length;t<l;t++){o+=columns[t].width}return e&&(o+=scrollbarDimensions.width),o}function getHeadersWidth(){var e=getColumnTotalWidth(!options.autoHeight);return Math.max(e,viewportW)+1e3}function getCanvasWidth(){for(var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=0,t=columns.length;t--;)o+=columns[t].width;return options.fullWidthRows?Math.max(o,e):o}function updateCanvasWidth(e){var o=canvasWidth;(canvasWidth=getCanvasWidth())!=o&&($canvas.width(canvasWidth),$headerRow.width(canvasWidth),options.createFooterRow&&$footerRow.width(canvasWidth),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$headers.width(getHeadersWidth()),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width);var t=canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0);$headerRowSpacer.width(t),options.createFooterRow&&$footerRowSpacer.width(t),options.createPreHeaderPanel&&$preHeaderPanelSpacer.width(t),(canvasWidth!=o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var l=2*e;if(t.css(\"height\",l),l>o||t.height()!==l)break;e=l}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=$canvas[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewport[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var l=getColumnIndex(e);if(null!=l){var n=columns[l],r=$headers.children().eq(l);r&&(void 0!==o&&(columns[l].name=o),void 0!==t&&(columns[l].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:n,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:n,grid:self}))}}}function getHeader(){return $headers[0]}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headers.children().eq(o);return t&&t[0]}function getHeaderRow(){return $headerRow[0]}function getFooterRow(){return $footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getHeaderRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headerRow.children().eq(o);return t&&t[0]}function getFooterRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$footerRow.children().eq(o);return t&&t[0]}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headers.empty(),$headers.width(getHeadersWidth()),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRow.empty(),options.createFooterRow&&($footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e})})),$footerRow.empty());for(var t=0;t<columns.length;t++){var l=columns[t],n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+l.name+\"</span>\").width(l.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+l.id).attr(\"title\",l.toolTip||\"\").data(\"column\",l).addClass(l.headerCssClass||\"\").appendTo($headers);if((options.enableColumnReorder||l.sortable)&&n.on(\"mouseenter\",e).on(\"mouseleave\",o),l.sortable&&(n.addClass(\"slick-header-sortable\"),n.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&n.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:n[0],column:l,grid:self}),options.showHeaderRow){var r=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($headerRow);trigger(self.onHeaderRowCellRendered,{node:r[0],column:l,grid:self})}if(options.createFooterRow&&options.showFooterRow){var i=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:i[0],column:l})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var l=null,n=0;n<sortColumns.length;n++)if(sortColumns[n].columnId==t.id){(l=sortColumns[n]).sortAsc=!l.sortAsc;break}var r=!!l;options.tristateMultiColumnSort?(l||(l={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&l.sortAsc&&(sortColumns.splice(n,1),l=null),options.multiColumnSort||(sortColumns=[]),!l||r&&options.multiColumnSort||sortColumns.push(l)):e.metaKey&&options.multiColumnSort?l&&sortColumns.splice(n,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),l?0==sortColumns.length&&sortColumns.push(l):(l={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(l))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\"),$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(e,o){o.placeholder.width(o.helper.outerWidth()-headerColumnWidthDiff),$(o.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},stop:function(e){if(getEditorLock().commitCurrentEdit()){for(var o=$headers.sortable(\"toArray\"),t=[],l=0;l<o.length;l++)t.push(columns[getColumnIndex(o[l].replace(uid,\"\"))]);setColumns(t),trigger(self.onColumnsReordered,{}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function setupColumnResize(){var e,o,t,l,n,r,i,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===i&&(i=e),s=e)})),void 0!==i&&l.each((function(a,c){a>=columns.length||a<i||options.forceFitColumns&&a>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(i,s){if(!getEditorLock().commitCurrentEdit())return!1;t=i.pageX,$(this).parent().addClass(\"slick-header-column-active\");var c=null,d=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(c=0,d=0,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(null!==d&&(o.maxWidth?d+=o.maxWidth-o.previousWidth:d=null),c+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=a;e++)(o=columns[e]).resizable&&(null!==h&&(o.maxWidth?h+=o.maxWidth-o.previousWidth:h=null),u+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));null===c&&(c=1e5),null===u&&(u=1e5),null===d&&(d=1e5),null===h&&(h=1e5),r=t+Math.min(c,h),n=t-Math.min(u,d)})).on(\"drag\",(function(l,i){columnResizeDragging=!0;var s,c,d=Math.min(r,Math.max(n,l.pageX))-t;if(d<0){for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0))}else{for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0))}applyColumnHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths()})).on(\"dragend\",(function(t,n){var r;for($(this).parent().removeClass(\"slick-header-column-active\"),e=0;e<columns.length;e++)o=columns[e],r=$(l[e]).outerWidth(),o.previousWidth!==r&&o.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return $.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,l){o+=parseFloat(e.css(l))||0})),o}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],l=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==l[0]&&l[1]>=8||l[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var n=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(n),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),n.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var l,n,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(l=/\\.l\\d+/.exec(i))?(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesL[n]=r[o]):(l=/\\.r\\d+/.exec(i))&&(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesR[n]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function autosizeColumns(){var e,o,t,l=[],n=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],l.push(o.width),r+=o.width,o.resizable&&(n+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&n;){var s=(r-i)/n;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var a=l[e];if(!(!o.resizable||a<=o.minWidth||a<=absoluteColumnMinWidth)){var c=Math.max(o.minWidth,absoluteColumnMinWidth),d=Math.floor(s*(a-c))||1;r-=d=Math.min(d,a-c),n-=d,l[e]-=d}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=l[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,l[e]+=r<=i?h:0}if(t>=r)break;t=r}var g=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=l[e]&&(g=!0),columns[e].width=l[e];applyColumnHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),g&&(invalidateAllRows(),render())}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),l=columns.length;o<l;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,l=0;l<columns.length;l++)e=columns[l].width,(o=getColumnCssRules(l)).left.style.left=t+\"px\",o.right.style.right=canvasWidth-t-e+\"px\",t+=columns[l].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,l){null==l.sortAsc&&(l.sortAsc=!0);var n=getColumnIndex(l.columnId);null!=n&&(t.eq(n).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(l.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(n).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){selectedRows=[];for(var t={},l=0;l<o.length;l++)for(var n=o[l].fromRow;n<=o[l].toRow;n++){t[n]||(selectedRows.push(n),t[n]={});for(var r=o[l].fromCell;r<=o[l].toCell;r++)canCellBeSelected(n,r)&&(t[n][columns[r].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,t),trigger(self.onSelectedRowsChanged,{rows:getSelectedRows()},e)}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,e+=columns[o].width}function setColumns(e){columns=e,columnsById={};for(var o=0;o<columns.length;o++){var t=columns[o]=$.extend({},columnDefaults,columns[o]);columnsById[t.id]=o,t.minWidth&&t.width<t.minWidth&&(t.width=t.minWidth),t.maxWidth&&t.width>t.maxWidth&&(t.width=t.maxWidth)}updateColumnCaches(),initialized&&(invalidateAllRows(),createColumnHeaders(),removeCssRules(),createCssRules(),resizeCanvas(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){getEditorLock().commitCurrentEdit()&&(makeActiveCellNormal(),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength()),options=$.extend(options,e),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render())}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1)}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data.length}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e){options.showTopPanel!=e&&(options.showTopPanel=e,e?$topPanelScroller.slideDown(\"fast\",resizeCanvas):$topPanelScroller.slideUp(\"fast\",resizeCanvas))}function setHeaderRowVisibility(e){options.showHeaderRow!=e&&(options.showHeaderRow=e,e?$headerRowScroller.slideDown(\"fast\",resizeCanvas):$headerRowScroller.slideUp(\"fast\",resizeCanvas))}function setFooterRowVisibility(e){options.showFooterRow!=e&&(options.showFooterRow=e,e?$footerRowScroller.slideDown(\"fast\",resizeCanvas):$footerRowScroller.slideUp(\"fast\",resizeCanvas))}function setPreHeaderPanelVisibility(e){options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,$viewport[0].scrollTop=lastRenderedScrollTop=scrollTop=prevScrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,l,n,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),l=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return l&&l.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function getEditor(e,o){var t=columns[o],l=data.getItemMetadata&&data.getItemMetadata(e),n=l&&l.columns;return n&&n[t.id]&&void 0!==n[t.id].editor?n[t.id].editor:n&&n[o]&&void 0!==n[o].editor?n[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,l){var n=getDataItem(o),r=\"slick-row\"+(o<l&&!n?\" loading\":\"\")+(o===activeRow&&options.showCellSelection?\" active\":\"\")+(o%2==1?\" odd\":\" even\");n||(r+=\" \"+options.addNewRowCssClass);var i,s,a=data.getItemMetadata&&data.getItemMetadata(o);a&&a.cssClasses&&(r+=\" \"+a.cssClasses),e.push(\"<div class='ui-widget-content \"+r+\"' style='top:\"+getRowTop(o)+\"px'>\");for(var c=0,d=columns.length;c<d;c++){if(s=columns[c],i=1,a&&a.columns){var u=a.columns[s.id]||a.columns[c];\"*\"===(i=u&&u.colspan||1)&&(i=d-c)}if(columnPosRight[Math.min(d-1,c+i-1)]>t.leftPx){if(columnPosLeft[c]>t.rightPx)break;appendCellHtml(e,o,c,i,n)}i>1&&(c+=i-1)}e.push(\"</div>\")}function appendCellHtml(e,o,t,l,n){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+l-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var s in o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[s][o]&&cellCssClasses[s][o][r.id]&&(i+=\" \"+cellCssClasses[s][o][r.id]);var a=null,c=\"\";n&&(a=getDataItemValueForColumn(n,r),null==(c=getFormatter(o,r)(o,t,a,r,n,self))&&(c=\"\"));var d=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:a,dataContext:n})||\"\";d+=c&&c.addClasses?(d?\" \":\"\")+c.addClasses:\"\",e.push(\"<div class='\"+i+(d?\" \"+d:\"\")+\"'>\"),n&&e.push(\"[object Object]\"!==Object.prototype.toString.call(c)?c:c.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=l}function cleanupRows(e){for(var o in rowsCache)(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&removeRowFromCache(o);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var l in postProcessgroupId++,o)o.hasOwnProperty(l)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|l],columnIdx:0|l,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(o.rowNode&&(rowNodeFromLastMouseWheelEvent===o.rowNode?(o.rowNode.style.display=\"none\",zombieRowNodeFromLastMouseWheelEvent=rowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent=o,zombieRowPostProcessedFromLastMouseWheelEvent=postProcessedRows[e]):options.enableAsyncPostRenderCleanup&&postProcessedRows[e]?queuePostProcessedRowForCleanup(o,postProcessedRows[e],e):$canvas[0].removeChild(o.rowNode)),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var l=columns[o],n=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(n);else applyFormatResultToCellNode(n?getFormatter(e,l)(e,o,getDataItemValueForColumn(n,l),l,n,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var l in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=o.cellNodesByColumnIdx[l];e===activeRow&&l===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,n)(e,l,getDataItemValueForColumn(t,n),n,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){return parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-parseFloat($.css($headerScroller[0],\"height\"))-getVBoxDelta($headerScroller)-(options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0)-(options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0)-(options.createFooterRow&&options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0)-(options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0)}function resizeCanvas(){initialized&&(viewportH=options.autoHeight?options.rowHeight*getDataLengthIncludingAddNew():getViewportHeight(),numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportW=parseFloat($.css($container[0],\"width\",!0)),options.autoHeight||$viewport.height(viewportH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.forceFitColumns&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render())}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew()+(options.leaveSpaceForNewRows?numVisibleRows-1:0),t=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&o*options.rowHeight>viewportH,viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width,makeActiveCellNormal();var l=e-1;for(var r in rowsCache)r>l&&removeRowFromCache(r);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>l&&resetActiveCell();var i=h;(th=Math.max(options.rowHeight*o,viewportH-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==i&&($canvas.css(\"height\",h),scrollTop=$viewport[0].scrollTop);var s=scrollTop+offset<=th-viewportH;0==th||0==scrollTop?page=offset=0:scrollTo(s?scrollTop+offset:th-viewportH),h!=i&&options.autoHeight&&resizeCanvas(),options.forceFitColumns&&t!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),l=Math.round(viewportH/options.rowHeight),n=options.minRowBuffer;return-1==vScrollDir?(t.top-=l,t.bottom+=n):1==vScrollDir?(t.top-=n,t.bottom+=l):(t.top-=n,t.bottom+=n),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.lastChild;o.cellRenderQueue.length;){var l=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[l]=t,t=t.previousSibling}}function cleanUpCells(e,o){var t,l,n=rowsCache[o],r=[];for(var i in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(i)){i|=0;var s=n.cellColSpans[i];(columnPosLeft[i]>e.rightPx||columnPosRight[Math.min(columns.length-1,i+s-1)]<e.leftPx)&&(o==activeRow&&i==activeCell||r.push(i))}for(postProcessgroupId++;null!=(t=r.pop());)l=n.cellNodesByColumnIdx[t],options.enableAsyncPostRenderCleanup&&postProcessedRows[o]&&postProcessedRows[o][t]?queuePostProcessedCellForCleanup(l,t,o):n.rowNode.removeChild(l),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}function cleanUpAndRenderCells(e){for(var o,t,l,n=[],r=[],i=e.top,s=e.bottom;i<=s;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var a=data.getItemMetadata&&data.getItemMetadata(i);a=a&&a.columns;for(var c=getDataItem(i),d=0,u=columns.length;d<u&&!(columnPosLeft[d]>e.rightPx);d++)if(null==(l=o.cellColSpans[d])){if(l=1,a){var h=a[columns[d].id]||a[d];\"*\"===(l=h&&h.colspan||1)&&(l=u-d)}columnPosRight[Math.min(u-1,d+l-1)]>e.leftPx&&(appendCellHtml(n,i,d,l,c),t++),d+=l>1?l-1:0}else d+=l>1?l-1:0;t&&(t,r.push(i))}if(n.length){var p,g,m=document.createElement(\"div\");for(m.innerHTML=n.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)g=m.lastChild,o.rowNode.appendChild(g),o.cellNodesByColumnIdx[v]=g}}}function renderRows(e){for(var o=$canvas[0],t=[],l=[],n=!1,r=getDataLength(),i=e.top,s=e.bottom;i<=s;i++)rowsCache[i]||(renderedRows++,l.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(t,i,e,r),activeCellNode&&activeRow===i&&(n=!0),counter_rows_rendered++);if(l.length){var a=document.createElement(\"div\");a.innerHTML=t.join(\"\");for(i=0,s=l.length;i<s;i++)rowsCache[l[i]].rowNode=o.appendChild(a.firstChild);n&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache)rowsCache[e].rowNode.style.top=getRowTop(e)+\"px\"}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();cleanupRows(o),lastRenderedScrollLeft!=scrollLeft&&cleanUpAndRenderCells(o),renderRows(o),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScroller[0])}function handleHeaderRowScroll(){handleElementScroll($headerRowScroller[0])}function handleFooterRowScroll(){handleElementScroll($footerRowScroller[0])}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewport[0].scrollLeft&&($viewport[0].scrollLeft=o)}function handleScroll(){scrollTop=$viewport[0].scrollTop,scrollLeft=$viewport[0].scrollLeft;var e=Math.abs(scrollTop-prevScrollTop),o=Math.abs(scrollLeft-prevScrollLeft);if(o&&(prevScrollLeft=scrollLeft,$headerScroller[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScroller[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScroller[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&($preHeaderPanelScroller[0].scrollLeft=scrollLeft)),e)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e<viewportH)scrollTo(scrollTop+offset);else{var t=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),t!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(o||e){var l=Math.abs(lastRenderedScrollLeft-scrollLeft),r=Math.abs(lastRenderedScrollTop-scrollTop);(l>20||r>20)&&(options.forceSyncScrolling||r<viewportH&&l<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}trigger(self.onScroll,{scrollLeft,scrollTop})}function ActionThrottle(e,o){var t=!1,l=!1;function n(){l=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){l?(n(),r()):t=!1}return{enqueue:function(){t?l=!0:r()},dequeue:n}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var l in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=postProcessedRows[o][l];if(n.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[l];i&&n.asyncPostRender(i,o,getDataItem(o),n,\"C\"===r),postProcessedRows[o][l]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,l,n,r;for(var i in rowsCache){if(r=o&&o[i],n=e&&e[i],r)for(l in r)n&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).removeClass(r[l]);if(n)for(l in n)r&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).addClass(n[l])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){if(t=t||100,rowsCache[e]){var l=$(getCellNode(e,o)),n=function(e){e&&setTimeout((function(){l.queue((function(){l.toggleClass(options.cellFlashingCssClass).dequeue(),n(e-1)}))}),t)};n(4)}}function handleMouseWheel(e){var o=$(e.target).closest(\".slick-row\")[0];o!=rowNodeFromLastMouseWheelEvent&&(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent!=o&&(options.enableAsyncPostRenderCleanup&&zombieRowPostProcessedFromLastMouseWheelEvent?queuePostProcessedRowForCleanup(zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent):$canvas[0].removeChild(zombieRowNodeFromLastMouseWheelEvent),zombieRowNodeFromLastMouseWheelEvent=null,zombieRowCacheFromLastMouseWheelEvent=null,zombieRowPostProcessedFromLastMouseWheelEvent=null,options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()),rowNodeFromLastMouseWheelEvent=o)}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,l=columns[o.cell],n=!!(options.editable&&l&&l.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,n,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),l=0,n=0,r=0;r<columns.length&&n<e;r++)n+=columns[r].width,l++;return l<0&&(l=0),{row:t,cell:l-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)if(rowsCache[o].rowNode===e)return 0|o;return null}function getCellFromEvent(e){var o=$(e.target).closest(\".slick-cell\",$canvas);if(!o.length)return null;var t=getRowFromNode(o[0].parentNode),l=getCellFromNode(o[0]);return null==t||null==l?null:{row:t,cell:l}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getRowTop(e),l=t+options.rowHeight-1,n=0,r=0;r<o;r++)n+=columns[r].width;return{top:t,left:n,bottom:l,right:n+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){scrollRowIntoView(e,t);var l=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(l>1?l-1:0)])}function internalScrollColumnIntoView(e,o){var t=scrollLeft+viewportW;e<scrollLeft?($viewport.scrollLeft(e),handleScroll(),render()):o>t&&($viewport.scrollLeft(Math.min(e,o-$viewport[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,l,n){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));null!=(activeCellNode=e)?(activeRow=getRowFromNode(activeCellNode.parentNode),activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&($(activeCellNode).addClass(\"active\"),$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,n)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,n))):activeRow=activeCell=null,l||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var l=columns[activeCell],n=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:n,column:l})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\"),currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:l,item:n||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),n&&(currentEditor.loadValue(n),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){var t=e*options.rowHeight,l=(e+1)*options.rowHeight-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0);(e+1)*options.rowHeight>scrollTop+viewportH+offset?(scrollTo(o?t:l),render()):e*options.rowHeight<scrollTop+offset&&(scrollTo(o?l:t),render())}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,l=getDataLengthIncludingAddNew();t>=l&&(t=l-1),t<0&&(t=0);for(var n=0,r=null,i=activePosX;n<=activePosX;)canCellBeActive(t,n)&&(r=n),n+=getColspan(t,n);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,l=null,n=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(l=t),t+=getColspan(e,t);null!==l?(setActiveCellInternal(getCellNode(e,l)),activePosX=n):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var l=t.columns[columns[o].id]||t.columns[o],n=l&&l.colspan;return n=\"*\"===n?columns.length-o:n||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var l=findFirstFocusableCell(e);if(null===l||l>=o)return null;for(var n,r={row:e,cell:l,posX:l};;){if(!(n=gotoRight(r.row,r.cell,r.posX)))return null;if(n.cell>=o)return r;r=n}}function gotoDown(e,o,t){for(var l,n=getDataLengthIncludingAddNew();;){if(++e>=n)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoUp(e,o,t){for(var l;;){if(--e<0)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var l=gotoRight(e,o,t);if(l)return l;var n=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(n=findFirstFocusableCell(e)))return{row:e,cell:n,posX:n};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var l,n;!l&&!(l=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(n=findLastFocusableCell(e))&&(l={row:e,cell:n,posX:n})}return l}function gotoRowStart(e,o,t){var l=findFirstFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function gotoRowEnd(e,o,t){var l=findLastFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){var t=o.row==getDataLength();return scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){return rowsCache[e]?(ensureCellNodesInRowsCache(e),rowsCache[e].cellNodesByColumnIdx[o]):null}function setActiveCell(e,o,t,l,n){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,l,n)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var l=t&&t.columns;return l&&l[columns[o].id]&&void 0!==l[columns[o].id].focusable?!!l[columns[o].id].focusable:l&&l[o]&&void 0!==l[o].focusable?!!l[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var l=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return l&&void 0!==l.selectable?!!l.selectable:!!columns[o].selectable}function gotoCell(e,o,t,l){initialized&&(canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t||e===getDataLength()||options.autoEdit,null,options.editable,l),currentEditor||setFocus()))}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var l={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,l)):(l.execute(),makeActiveCellNormal())}else{var n={};currentEditor.applyValue(n,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:n,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,l=0;l<e.length;l++)o.push(new Slick.Range(e[l],0,e[l],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.3.23\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsResized:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,registerPlugin,unregisterPlugin,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n",
       "      450: function _(t,e,a){\n",
       "      /*!\n",
       "           * jquery.event.drag - v 2.3.0\n",
       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
       "           */\n",
       "      var n=t(443);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)&&!n(t.target).is(a.not)&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n",
       "      451: function _(t,e,a){\n",
       "      /*!\n",
       "           * jquery.event.drop - v 2.3.0\n",
       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
       "           */\n",
       "      var n=t(443);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.offset()||{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var e,a,r,d,l,c,s,u,p=0,h=t.interactions.length,m=[o.event.pageX,o.event.pageY],f=o.tolerance||o.modes[o.mode];do{if(u=t.interactions[p]){if(!u)return;u.drop=[],l=[],c=u.droppable.length,f&&(r=o.locate(u.proxy)),e=0;do{if(s=u.droppable[e]){if(!(a=(d=n.data(s,o.datakey)).location))continue;d.winner=f?f.call(o,o.event,r,a):o.contains(a,m)?1:0,l.push(d)}}while(++e<c);l.sort(o.sort),e=0;do{(d=l[e])&&(d.winner&&u.drop.length<o.multi?(d.active[p]||d.anyactive||(!1!==i.drag.hijack(o.event,\"dropstart\",t,p,d.elem)[0]?(d.active[p]=1,d.anyactive+=1):d.winner=0),d.winner&&u.drop.push(d.elem)):d.active[p]&&1==d.anyactive&&(i.drag.hijack(o.event,\"dropend\",t,p,d.elem),d.active[p]=0,d.anyactive-=1))}while(++e<c)}}while(++p<h);o.last&&m[0]==o.last.pageX&&m[1]==o.last.pageY?delete o.timer:o.timer=setTimeout((function(){o.tolerate(t)}),o.delay),o.last=o.event}};i.dropinit=i.dropstart=i.dropend=o},\n",
       "      452: function _(t,e,n){var r=t(443),i=t(445);var o={Avg:function(t){this.field_=t,this.init=function(){this.count_=0,this.nonNullCount_=0,this.sum_=0},this.accumulate=function(t){var e=t[this.field_];this.count_++,null==e||\"\"===e||isNaN(e)||(this.nonNullCount_++,this.sum_+=parseFloat(e))},this.storeResult=function(t){t.avg||(t.avg={}),0!=this.nonNullCount_&&(t.avg[this.field_]=this.sum_/this.nonNullCount_)}},Min:function(t){this.field_=t,this.init=function(){this.min_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(null==this.min_||e<this.min_)&&(this.min_=e)},this.storeResult=function(t){t.min||(t.min={}),t.min[this.field_]=this.min_}},Max:function(t){this.field_=t,this.init=function(){this.max_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(null==this.max_||e>this.max_)&&(this.max_=e)},this.storeResult=function(t){t.max||(t.max={}),t.max[this.field_]=this.max_}},Sum:function(t){this.field_=t,this.init=function(){this.sum_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(this.sum_+=parseFloat(e))},this.storeResult=function(t){t.sum||(t.sum={}),t.sum[this.field_]=this.sum_}}};e.exports={DataView:function(t){var e,n,o,a,l,s=this,u=\"id\",g=[],c=[],f={},p=null,h=null,d=null,m=!1,v=!0,_={},w={},$=[],y=[],I={getter:null,formatter:null,comparer:function(t,e){return t.value===e.value?0:t.value>e.value?1:-1},predefinedValues:[],aggregators:[],aggregateEmpty:!1,aggregateCollapsed:!1,aggregateChildGroups:!1,collapsed:!1,displayTotalsRow:!0,lazyTotalsCalculation:!1},C=[],R=[],x=[],b=0,M=0,F=0,A=new i.Event,S=new i.Event,N=new i.Event;function E(t){for(var e,n=t=t||0,r=g.length;n<r;n++){if(void 0===(e=g[n][u]))throw new Error(\"Each data element must implement a unique 'id' property\");f[e]=n}}function T(){var t=b?Math.max(1,Math.ceil(F/b)):1;return{pageSize:b,pageNum:M,totalRows:F,totalPages:t,dataView:s}}function G(t,r){v=r,n=t,e=null,!1===r&&g.reverse(),g.sort(t),!1===r&&g.reverse(),f={},E(),Z()}function D(t,r){v=r,e=t,n=null;var i=Object.prototype.toString;Object.prototype.toString=\"function\"==typeof t?t:function(){return this[t]},!1===r&&g.reverse(),g.sort(),Object.prototype.toString=i,!1===r&&g.reverse(),f={},E(),Z()}function P(e){t.groupItemMetadataProvider||(t.groupItemMetadataProvider=new i.Data.GroupItemMetadataProvider),R=[],x=[],C=(e=e||[])instanceof Array?e:[e];for(var n=0;n<C.length;n++){var o=C[n]=r.extend(!0,{},I,C[n]);o.getterIsAFn=\"function\"==typeof o.getter,o.compiledAccumulators=[];for(var a=o.aggregators.length;a--;)o.compiledAccumulators[a]=W(o.aggregators[a]);x[n]={}}Z()}function j(){if(!p){p={};for(var t=0,e=c.length;t<e;t++)p[c[t][u]]=t}}function z(t){return g[f[t]]}function B(t,e){if(void 0===f[t]||t!==e[u])throw new Error(\"Invalid or non-matching id\");g[f[t]]=e,d||(d={}),d[t]=!0,Z()}function V(t,e){g.splice(t,0,e),E(t),Z()}function O(t){var e=f[t];if(void 0===e)throw new Error(\"Invalid id\");delete f[t],g.splice(e,1),E(e),Z()}function q(t){if(!n)throw new Error(\"sortedAddItem() requires a sort comparer, use sort()\");V(function(t){var e=0,r=g.length;for(;e<r;){var i=e+r>>>1;-1===n(g[i],t)?e=i+1:r=i}return e}(t),t)}function K(t,e){if(null==t)for(var n=0;n<C.length;n++)x[n]={},C[n].collapsed=e;else x[t]={},C[t].collapsed=e;Z()}function U(t,e,n){x[t][e]=C[t].collapsed^n,Z()}function L(t){var e,n=t.group,r=C[n.level],i=n.level==C.length,o=r.aggregators.length;if(!i&&r.aggregateChildGroups)for(var a=n.groups.length;a--;)n.groups[a].totals.initialized||L(n.groups[a].totals);for(;o--;)(e=r.aggregators[o]).init(),!i&&r.aggregateChildGroups?r.compiledAccumulators[o].call(e,n.groups):r.compiledAccumulators[o].call(e,n.rows),e.storeResult(t);t.initialized=!0}function k(t){var e=C[t.level],n=new i.GroupTotals;n.group=t,t.totals=n,e.lazyTotalsCalculation||L(n)}function H(t){var e=t.toString().match(/^function[^(]*\\(([^)]*)\\)\\s*{([\\s\\S]*)}$/);return{params:e[1].split(\",\"),body:e[2]}}function W(t){var e=H(t.accumulate),n=new Function(\"_items\",\"for (var \"+e.params[0]+\", _i=0, _il=_items.length; _i<_il; _i++) {\"+e.params[0]+\" = _items[_i]; \"+e.body+\"}\");return n.displayName=n.name=\"compiledAccumulatorLoop\",n}function J(t,e){for(var n=[],r=0,i=0,o=t.length;i<o;i++)h(t[i],e)&&(n[r++]=t[i]);return n}function Q(t,e,n){for(var r,i=[],o=0,a=0,l=t.length;a<l;a++)r=t[a],n[a]?i[o++]=r:h(r,e)&&(i[o++]=r,n[a]=!0);return i}function X(e){if(h){var n=t.inlineFilters?a:J,r=t.inlineFilters?l:Q;_.isFilterNarrowing?$=n($,o):_.isFilterExpanding?$=r(e,o,y):_.isFilterUnchanged||($=n(e,o))}else $=b?e:e.concat();var i;return b?($.length<=M*b&&(M=0===$.length?0:Math.floor(($.length-1)/b)),i=$.slice(b*M,b*M+b)):i=$,{totalRows:$.length,rows:i}}function Y(t){p=null,_.isFilterNarrowing==w.isFilterNarrowing&&_.isFilterExpanding==w.isFilterExpanding||(y=[]);var e=X(t);F=e.totalRows;var n=e.rows;R=[],C.length&&(R=function t(e,n){for(var r,o,a,l=[],s={},u=n?n.level+1:0,g=C[u],c=0,f=g.predefinedValues.length;c<f;c++)(r=s[o=g.predefinedValues[c]])||((r=new i.Group).value=o,r.level=u,r.groupingKey=(n?n.groupingKey+\":|:\":\"\")+o,l[l.length]=r,s[o]=r);for(c=0,f=e.length;c<f;c++)a=e[c],(r=s[o=g.getterIsAFn?g.getter(a):a[g.getter]])||((r=new i.Group).value=o,r.level=u,r.groupingKey=(n?n.groupingKey+\":|:\":\"\")+o,l[l.length]=r,s[o]=r),r.rows[r.count++]=a;if(u<C.length-1)for(c=0;c<l.length;c++)(r=l[c]).groups=t(r.rows,r);return l.sort(C[u].comparer),l}(n)).length&&(!function t(e,n){for(var r,i=C[n=n||0],o=i.collapsed,a=x[n],l=e.length;l--;)(r=e[l]).collapsed&&!i.aggregateCollapsed||(r.groups&&t(r.groups,n+1),i.aggregators.length&&(i.aggregateEmpty||r.rows.length||r.groups&&r.groups.length)&&k(r),r.collapsed=o^a[r.groupingKey],r.title=i.formatter?i.formatter(r):r.value)}(R),n=function t(e,n){for(var r,i,o=C[n=n||0],a=[],l=0,s=0,u=e.length;s<u;s++){if(i=e[s],a[l++]=i,!i.collapsed)for(var g=0,c=(r=i.groups?t(i.groups,n+1):i.rows).length;g<c;g++)a[l++]=r[g];i.totals&&o.displayTotalsRow&&(!i.collapsed||o.aggregateCollapsed)&&(a[l++]=i.totals)}return a}(R));var r=function(t,e){var n,r,i,o=[],a=0,l=e.length;_&&_.ignoreDiffsBefore&&(a=Math.max(0,Math.min(e.length,_.ignoreDiffsBefore))),_&&_.ignoreDiffsAfter&&(l=Math.min(e.length,Math.max(0,_.ignoreDiffsAfter)));for(var s=a,g=t.length;s<l;s++)s>=g?o[o.length]=s:(n=e[s],r=t[s],(C.length&&(i=n.__nonDataRow||r.__nonDataRow)&&n.__group!==r.__group||n.__group&&!n.equals(r)||i&&(n.__groupTotals||r.__groupTotals)||n[u]!=r[u]||d&&d[n[u]])&&(o[o.length]=s));return o}(c,n);return c=n,r}function Z(){if(!m){var t=c.length,e=F,n=Y(g);b&&F<M*b&&(M=Math.max(0,Math.ceil(F/b)-1),n=Y(g)),d=null,w=_,_={},e!==F&&N.notify(T(),null,s),t!==c.length&&A.notify({previous:t,current:c.length,dataView:s},null,s),n.length>0&&S.notify({rows:n,dataView:s},null,s)}}t=r.extend(!0,{},{groupItemMetadataProvider:null,inlineFilters:!1},t),r.extend(this,{beginUpdate:function(){m=!0},endUpdate:function(){m=!1,Z()},setPagingOptions:function(t){null!=t.pageSize&&(b=t.pageSize,M=b?Math.min(M,Math.max(0,Math.ceil(F/b)-1)):0),null!=t.pageNum&&(M=Math.min(t.pageNum,Math.max(0,Math.ceil(F/b)-1))),N.notify(T(),null,s),Z()},getPagingInfo:T,getItems:function(){return g},setItems:function(t,e){void 0!==e&&(u=e),g=$=t,f={},E(),function(){for(var t,e=0,n=g.length;e<n;e++)if(void 0===(t=g[e][u])||f[t]!==e)throw new Error(\"Each data element must implement a unique 'id' property\")}(),Z()},setFilter:function(e){h=e,t.inlineFilters&&(a=function(){var t=H(h),e=\"{ _retval[_idx++] = $item$; continue _coreloop; }$1\",n=t.body.replace(/return false\\s*([;}]|\\}|$)/gi,\"{ continue _coreloop; }$1\").replace(/return!1([;}]|\\}|$)/gi,\"{ continue _coreloop; }$1\").replace(/return true\\s*([;}]|\\}|$)/gi,e).replace(/return!0([;}]|\\}|$)/gi,e).replace(/return ([^;}]+?)\\s*([;}]|$)/gi,\"{ if ($1) { _retval[_idx++] = $item$; }; continue _coreloop; }$2\"),r=[\"var _retval = [], _idx = 0; \",\"var $item$, $args$ = _args; \",\"_coreloop: \",\"for (var _i = 0, _il = _items.length; _i < _il; _i++) { \",\"$item$ = _items[_i]; \",\"$filter$; \",\"} \",\"return _retval; \"].join(\"\");r=(r=(r=r.replace(/\\$filter\\$/gi,n)).replace(/\\$item\\$/gi,t.params[0])).replace(/\\$args\\$/gi,t.params[1]);var i=new Function(\"_items,_args\",r);return i.displayName=i.name=\"compiledFilter\",i}(),l=function(){var t=H(h),e=\"{ _cache[_i] = true;_retval[_idx++] = $item$; continue _coreloop; }$1\",n=t.body.replace(/return false\\s*([;}]|\\}|$)/gi,\"{ continue _coreloop; }$1\").replace(/return!1([;}]|\\}|$)/gi,\"{ continue _coreloop; }$1\").replace(/return true\\s*([;}]|\\}|$)/gi,e).replace(/return!0([;}]|\\}|$)/gi,e).replace(/return ([^;}]+?)\\s*([;}]|$)/gi,\"{ if ((_cache[_i] = $1)) { _retval[_idx++] = $item$; }; continue _coreloop; }$2\"),r=[\"var _retval = [], _idx = 0; \",\"var $item$, $args$ = _args; \",\"_coreloop: \",\"for (var _i = 0, _il = _items.length; _i < _il; _i++) { \",\"$item$ = _items[_i]; \",\"if (_cache[_i]) { \",\"_retval[_idx++] = $item$; \",\"continue _coreloop; \",\"} \",\"$filter$; \",\"} \",\"return _retval; \"].join(\"\");r=(r=(r=r.replace(/\\$filter\\$/gi,n)).replace(/\\$item\\$/gi,t.params[0])).replace(/\\$args\\$/gi,t.params[1]);var i=new Function(\"_items,_args,_cache\",r);return i.displayName=i.name=\"compiledFilterWithCaching\",i}()),Z()},getFilter:function(){return h},getFilteredItems:function(){return $},sort:G,fastSort:D,reSort:function(){n?G(n,v):e&&D(e,v)},setGrouping:P,getGrouping:function(){return C},groupBy:function(t,e,n){P(null!=t?{getter:t,formatter:e,comparer:n}:[])},setAggregators:function(t,e){if(!C.length)throw new Error(\"At least one grouping must be specified before calling setAggregators().\");C[0].aggregators=t,C[0].aggregateCollapsed=e,P(C)},collapseAllGroups:function(t){K(t,!0)},expandAllGroups:function(t){K(t,!1)},collapseGroup:function(t){var e=Array.prototype.slice.call(arguments),n=e[0];1==e.length&&-1!=n.indexOf(\":|:\")?U(n.split(\":|:\").length-1,n,!0):U(e.length-1,e.join(\":|:\"),!0)},expandGroup:function(t){var e=Array.prototype.slice.call(arguments),n=e[0];1==e.length&&-1!=n.indexOf(\":|:\")?U(n.split(\":|:\").length-1,n,!1):U(e.length-1,e.join(\":|:\"),!1)},getGroups:function(){return R},getIdxById:function(t){return f[t]},getRowByItem:function(t){return j(),p[t[u]]},getRowById:function(t){return j(),p[t]},getItemById:z,getItemByIdx:function(t){return g[t]},mapItemsToRows:function(t){var e=[];j();for(var n=0,r=t.length;n<r;n++){var i=p[t[n][u]];null!=i&&(e[e.length]=i)}return e},mapRowsToIds:function(t){for(var e=[],n=0,r=t.length;n<r;n++)t[n]<c.length&&(e[e.length]=c[t[n]][u]);return e},mapIdsToRows:function(t){var e=[];j();for(var n=0,r=t.length;n<r;n++){var i=p[t[n]];null!=i&&(e[e.length]=i)}return e},setRefreshHints:function(t){_=t},setFilterArgs:function(t){o=t},refresh:Z,updateItem:B,insertItem:V,addItem:function(t){g.push(t),E(g.length-1),Z()},deleteItem:O,sortedAddItem:q,sortedUpdateItem:function(t,e){if(void 0===f[t]||t!==e[u])throw new Error(\"Invalid or non-matching id \"+f[t]);if(!n)throw new Error(\"sortedUpdateItem() requires a sort comparer, use sort()\");var r=z(t);0!==n(r,e)?(O(t),q(e)):B(t,e)},syncGridSelection:function(t,e,n){var o,a=this,l=a.mapRowsToIds(t.getSelectedRows()),s=new i.Event;function u(e){l.join(\",\")!=e.join(\",\")&&(l=e,s.notify({grid:t,ids:l,dataView:a},new i.EventData,a))}function g(){if(l.length>0){o=!0;var n=a.mapIdsToRows(l);e||u(a.mapRowsToIds(n)),t.setSelectedRows(n),o=!1}}return t.onSelectedRowsChanged.subscribe((function(e,i){if(!o){var s=a.mapRowsToIds(t.getSelectedRows());if(n&&t.getOptions().multiSelect)u(r.grep(l,(function(t){return void 0===a.getRowById(t)})).concat(s));else u(s)}})),this.onRowsChanged.subscribe(g),this.onRowCountChanged.subscribe(g),s},syncGridCellCssStyles:function(t,e){var n,r;function i(t){for(var e in n={},t){var r=c[e][u];n[r]=t[e]}}function o(){if(n){r=!0,j();var i={};for(var o in n){var a=p[o];null!=a&&(i[a]=n[o])}t.setCellCssStyles(e,i),r=!1}}i(t.getCellCssStyles(e)),t.onCellCssStylesChanged.subscribe((function(n,a){r||e==a.key&&(a.hash?i(a.hash):(t.onCellCssStylesChanged.unsubscribe(styleChanged),s.onRowsChanged.unsubscribe(o),s.onRowCountChanged.unsubscribe(o)))})),this.onRowsChanged.subscribe(o),this.onRowCountChanged.subscribe(o)},getLength:function(){return c.length},getItem:function(t){var e=c[t];if(e&&e.__group&&e.totals&&!e.totals.initialized){var n=C[e.level];n.displayTotalsRow||(L(e.totals),e.title=n.formatter?n.formatter(e):e.value)}else e&&e.__groupTotals&&!e.initialized&&L(e);return e},getItemMetadata:function(e){var n=c[e];return void 0===n?null:n.__group?t.groupItemMetadataProvider.getGroupRowMetadata(n):n.__groupTotals?t.groupItemMetadataProvider.getTotalsRowMetadata(n):null},onRowCountChanged:A,onRowsChanged:S,onPagingInfoChanged:N})},Aggregators:o,Data:{Aggregators:o}}},\n",
       "      453: function _(e,t,i){var n=e(443),o=e(445);function l(e){var t,i;function o(){var t=e.column.editorFixedDecimalPlaces;return void 0===t&&(t=l.DefaultDecimalPlaces),t||0===t?t:null}this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field];var l=o();null!==l&&(i||0===i)&&i.toFixed&&(i=i.toFixed(l)),t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){var e=parseFloat(t.val());l.AllowEmptyValue?e||0===e||(e=\"\"):e=e||0;var i=o();return null!==i&&(e||0===e)&&e.toFixed&&(e=parseFloat(e.toFixed(i))),e},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid number\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function a(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===n.ui.keyCode.LEFT&&t>0||e.keyCode===n.ui.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function s(e){e.keyCode!==n.ui.keyCode.LEFT&&e.keyCode!==n.ui.keyCode.RIGHT||e.stopImmediatePropagation()}l.DefaultDecimalPlaces=null,l.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:l,Date:function(e){var t,i,o=!1;this.init=function(){(t=n(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){o=!0},onClose:function(){o=!1}}),t.width(t.width()-18)},this.destroy=function(){n.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){o&&n.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){o&&n.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){o&&n.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==n.ui.keyCode.LEFT||t.which==n.ui.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,l=this.value.length;t.keyCode===n.ui.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===n.ui.keyCode.RIGHT&&i>=l-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n",
       "      454: function _(e,n,r){e(445);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n",
       "      455: function _(t,o,r){var e=t(443),n=t(445);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n",
       "      456: function _(e,s,t){var a=e(443),o=e(445);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(s,t,a,o,l,c){if(!e.enableExpandCollapse)return l.title;var r=15*l.level+\"px\";return(e.checkboxSelect?'<span class=\"'+e.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+e.toggleCssClass+\" \"+(l.collapsed?e.toggleCollapsedCssClass:e.toggleExpandedCssClass)+\"' style='margin-left:\"+r+\"'></span><span class='\"+e.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,a,o,l){return a.groupTotalsFormatter&&a.groupTotalsFormatter(o,a,l)||\"\"}};function l(t,l){var c=a(t.target),r=this.getDataItem(l.row);if(r&&r instanceof o.Group&&c.hasClass(e.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}if(r&&r instanceof o.Group&&c.hasClass(e.checkboxSelectCssClass)){r.selectChecked=!r.selectChecked,c.removeClass(r.selectChecked?\"unchecked\":\"checked\"),c.addClass(r.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(r.rows);(r.selectChecked?e.checkboxSelectPlugin.selectRows:e.checkboxSelectPlugin.deSelectRows)(i)}}function c(t,a){if(e.enableExpandCollapse&&t.which==o.keyCode.SPACE){var l=this.getActiveCell();if(l){var c=this.getDataItem(l.row);if(c&&c instanceof o.Group){var r=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:r.top,ignoreDiffsAfter:r.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}}}}return e=a.extend(!0,{},t,e),{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(s){return{selectable:!1,focusable:e.groupFocusable,cssClasses:e.groupCssClass,columns:{0:{colspan:\"*\",formatter:e.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(s){return{selectable:!1,focusable:e.totalsFocusable,cssClasses:e.totalsCssClass,formatter:e.totalsFormatter,editor:null}}}}}},\n",
       "      457: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(458),c=e(98),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n",
       "      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
       "      459: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n",
       "      460: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  width: 14px;\\n  background-repeat: no-repeat;\\n  background-position: left center;\\n  background-image: url(../images/down.gif);\\n  cursor: pointer;\\n  display: none;\\n  border-left: thin ridge silver;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-menubutton,\\n.bk-root .slick-header-column-active .slick-header-menubutton {\\n  display: inline-block;\\n}\\n.bk-root .slick-header-menu {\\n  position: absolute;\\n  display: inline-block;\\n  margin: 0;\\n  padding: 2px;\\n  cursor: default;\\n}\\n.bk-root .slick-header-menuitem {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-menuicon {\\n  display: inline-block;\\n  width: 16px;\\n  height: 16px;\\n  vertical-align: middle;\\n  margin-right: 4px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .slick-header-menucontent {\\n  display: inline-block;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-header-menuitem-disabled {\\n  color: silver;\\n}\\n.bk-root .slick-columnpicker {\\n  border: 1px solid #718BB7;\\n  background: #f0f0f0;\\n  padding: 6px;\\n  -moz-box-shadow: 2px 2px 2px silver;\\n  -webkit-box-shadow: 2px 2px 2px silver;\\n  box-shadow: 2px 2px 2px silver;\\n  min-width: 150px;\\n  cursor: default;\\n  position: absolute;\\n  z-index: 20;\\n  overflow: auto;\\n  resize: both;\\n}\\n.bk-root .slick-columnpicker > .close {\\n  float: right;\\n}\\n.bk-root .slick-columnpicker .title {\\n  font-size: 16px;\\n  width: 60%;\\n  border-bottom: solid 1px #d6d6d6;\\n  margin-bottom: 10px;\\n}\\n.bk-root .slick-columnpicker li {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  background: none;\\n}\\n.bk-root .slick-columnpicker input {\\n  margin: 4px;\\n}\\n.bk-root .slick-columnpicker li a {\\n  display: block;\\n  padding: 4px;\\n  font-weight: bold;\\n}\\n.bk-root .slick-columnpicker li a:hover {\\n  background: white;\\n}\\n.bk-root .slick-pager {\\n  width: 100%;\\n  height: 26px;\\n  border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n.bk-root .slick-header-column {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhAgAYAIcAANDQ0Ovs7uzt7+3u8O7v8e/w8vDx8/Hy9Pn5+QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAAAAP8ALAAAAAACABgAAAghABEIHEiwYMEDCA8YWMiwgMMCBAgMmDhAgIAAGAMAABAQADs=\");\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhAgAWAIcAAKrM9tno++vz/QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAAAAP8ALAAAAAACABYAAAgUAAUIHEiwoIAACBMqXMhwIQAAAQEAOw==\");\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIMwADCBxIUIDBgwIEChgwwECBAgQUFjBAkaJCABgxGlB4AGHCAAIQiBypEEECkScJqgwQEAA7\");\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIOAADCBxIUIDBgwIEChgwAECBAgQUFjAAQIABAwoBaNSIMYCAAwIqGlSIAEHFkiQTIBCgkqDLAAEBADs=\");\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAAOCAIAAACQKrqGAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAOwQAADsEBuJFr7QAAABl0RVh0U29mdHdhcmUAcGFpbnQubmV0IDQuMC4xNkRpr/UAAACXSURBVChT1dIxC4MwEAXg/v8/VOhQVDBNakV0KA6pxS4JhWRSIYPEJxwdDi1de7wleR+3JIf486w0hKCKRpSvvOhZcCmvNQBRuKqdah03U7UjNNH81rOaBYDo8SQaPX8JANFEaLaGBeAPaaY61rGksiN6TmR5H1j9CSoAosYYHLA7vTxYMvVEZa0liif23r93xjm3/oEYF8PiDn/I2FHCAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgeAAUAGEgQgIAACBEKLHgwYcKFBh1KFNhQosOKEgMCADs=\");\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgbAAMIDABgoEGDABIeRJhQ4cKGEA8KmEiRosGAADs=\");\\n}\\n.bk-root .slick-header-menubutton {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDgAOAIABADtKYwAAACH5BAEAAAEALAAAAAAOAA4AAAISjI+py+0PHZgUsGobhTn6DxoFADs=\");\\n}\\n.bk-root .slick-pager {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n'},\n",
       "      461: function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root .bk-data-table {\\n  box-sizing: content-box;\\n  font-size: 11px;\\n}\\n.bk-root .bk-data-table input[type=\"checkbox\"] {\\n  margin-left: 4px;\\n  margin-right: 4px;\\n}\\n.bk-root .bk-cell-special-defaults {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-select {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-index {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n  text-align: right;\\n  color: gray;\\n}\\n.bk-root .bk-header-index .slick-column-name {\\n  float: right;\\n}\\n.bk-root .slick-row.selected .bk-cell-index {\\n  background-color: transparent;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-cell.active {\\n  border-style: dashed;\\n}\\n.bk-root .slick-cell.editable {\\n  padding-left: 0;\\n  padding-right: 0;\\n}\\n.bk-root .bk-cell-editor input,\\n.bk-root .bk-cell-editor select {\\n  width: 100%;\\n  height: 100%;\\n  border: 0;\\n  margin: 0;\\n  padding: 0;\\n  outline: 0;\\n  background: transparent;\\n  vertical-align: baseline;\\n}\\n.bk-root .bk-cell-editor input {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .bk-cell-editor-completion {\\n  font-size: 11px;\\n}\\n'},\n",
       "      462: function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=i.__importDefault(t(159)),a=i.__importStar(t(161)),n=t(463),s=i.__importStar(t(18)),c=t(68),l=t(8),m=t(71);class _ extends m.Model{constructor(t){super(t)}doFormat(t,e,r,i,o){return null==r?\"\":(r+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}}r.CellFormatter=_,_.__name__=\"CellFormatter\";class u extends _{constructor(t){super(t)}static init_StringFormatter(){this.define({font_style:[s.FontStyle,\"normal\"],text_align:[s.TextAlign,\"left\"],text_color:[s.Color]})}doFormat(t,e,r,i,o){const{font_style:a,text_align:n,text_color:s}=this,l=c.div({},null==r?\"\":\"\"+r);switch(a){case\"bold\":l.style.fontWeight=\"bold\";break;case\"italic\":l.style.fontStyle=\"italic\"}return null!=n&&(l.style.textAlign=n),null!=s&&(l.style.color=s),l.outerHTML}}r.StringFormatter=u,u.__name__=\"StringFormatter\",u.init_StringFormatter();class F extends u{constructor(t){super(t)}static init_ScientificFormatter(){this.define({precision:[s.Number,10],power_limit_high:[s.Number,5],power_limit_low:[s.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}doFormat(t,e,r,i,o){const a=r<=this.scientific_limit_low||r>=this.scientific_limit_high;let n=this.precision;return n<1&&(n=1),r=a?r.toExponential(n):r.toFixed(n).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),super.doFormat(t,e,r,i,o)}}r.ScientificFormatter=F,F.__name__=\"ScientificFormatter\",F.init_ScientificFormatter();class d extends u{constructor(t){super(t)}static init_NumberFormatter(){this.define({format:[s.String,\"0,0\"],language:[s.String,\"en\"],rounding:[s.RoundingFunction,\"round\"]})}doFormat(t,e,r,i,o){const{format:n,language:s}=this,c=(()=>{switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}})();return r=a.format(r,n,s,c),super.doFormat(t,e,r,i,o)}}r.NumberFormatter=d,d.__name__=\"NumberFormatter\",d.init_NumberFormatter();class g extends _{constructor(t){super(t)}static init_BooleanFormatter(){this.define({icon:[s.String,\"check\"]})}doFormat(t,e,r,i,o){return r?c.i({class:this.icon}).outerHTML:\"\"}}r.BooleanFormatter=g,g.__name__=\"BooleanFormatter\",g.init_BooleanFormatter();class p extends _{constructor(t){super(t)}static init_DateFormatter(){this.define({format:[s.String,\"ISO-8601\"]})}getFormat(){switch(this.format){case\"ATOM\":case\"W3C\":case\"RFC-3339\":case\"ISO-8601\":return\"%Y-%m-%d\";case\"COOKIE\":return\"%a, %d %b %Y\";case\"RFC-850\":return\"%A, %d-%b-%y\";case\"RFC-1123\":case\"RFC-2822\":return\"%a, %e %b %Y\";case\"RSS\":case\"RFC-822\":case\"RFC-1036\":return\"%a, %e %b %y\";case\"TIMESTAMP\":return;default:return this.format}}doFormat(t,e,r,i,a){r=l.isString(r)?parseInt(r,10):r;const n=o.default(r,this.getFormat());return super.doFormat(t,e,n,i,a)}}r.DateFormatter=p,p.__name__=\"DateFormatter\",p.init_DateFormatter();class h extends _{constructor(t){super(t)}static init_HTMLTemplateFormatter(){this.define({template:[s.String,\"<%= value %>\"]})}doFormat(t,e,r,i,o){const{template:a}=this;if(null==r)return\"\";return n._.template(a)(Object.assign(Object.assign({},o),{value:r}))}}r.HTMLTemplateFormatter=h,h.__name__=\"HTMLTemplateFormatter\",h.init_HTMLTemplateFormatter()},\n",
       "      463: function _(e,n,t){var f=e(464),i=f.template;function o(e,n,t){return i(e,n,t)}o._=f,n.exports=o,\"function\"==typeof define&&define.amd?define((function(){return o})):\"undefined\"==typeof window&&\"undefined\"==typeof navigator||(window.UnderscoreTemplate=o)},\n",
       "      464: function _(r,e,n){\n",
       "      //     (c) 2009-2013 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
       "      var t={},a=Array.prototype,u=Object.prototype,c=a.slice,o=u.toString,l=u.hasOwnProperty,i=a.forEach,f=Object.keys,s=Array.isArray,p=function(){},_=p.each=p.forEach=function(r,e,n){if(null!=r)if(i&&r.forEach===i)r.forEach(e,n);else if(r.length===+r.length){for(var a=0,u=r.length;a<u;a++)if(e.call(n,r[a],a,r)===t)return}else{var c=p.keys(r);for(a=0,u=c.length;a<u;a++)if(e.call(n,r[c[a]],c[a],r)===t)return}};p.keys=f||function(r){if(r!==Object(r))throw new TypeError(\"Invalid object\");var e=[];for(var n in r)p.has(r,n)&&e.push(n);return e},p.defaults=function(r){return _(c.call(arguments,1),(function(e){if(e)for(var n in e)void 0===r[n]&&(r[n]=e[n])})),r},p.isArray=s||function(r){return\"[object Array]\"===o.call(r)},p.has=function(r,e){if(!p.isArray(e))return null!=r&&l.call(r,e);for(var n=e.length,t=0;t<n;t++){var a=e[t];if(null==r||!l.call(r,a))return!1;r=r[a]}return!!n};var h={escape:{\"&\":\"&amp;\",\"<\":\"&lt;\",\">\":\"&gt;\",'\"':\"&quot;\",\"'\":\"&#x27;\"}},v={escape:new RegExp(\"[\"+p.keys(h.escape).join(\"\")+\"]\",\"g\")};p.each([\"escape\"],(function(r){p[r]=function(e){return null==e?\"\":(\"\"+e).replace(v[r],(function(e){return h[r][e]}))}})),p.templateSettings={evaluate:/<%([\\s\\S]+?)%>/g,interpolate:/<%=([\\s\\S]+?)%>/g,escape:/<%-([\\s\\S]+?)%>/g};var g=/(.)^/,y={\"'\":\"'\",\"\\\\\":\"\\\\\",\"\\r\":\"r\",\"\\n\":\"n\",\"\\t\":\"t\",\"\\u2028\":\"u2028\",\"\\u2029\":\"u2029\"},j=/\\\\|'|\\r|\\n|\\t|\\u2028|\\u2029/g;p.template=function(r,e,n){var t;n=p.defaults({},n,p.templateSettings);var a=new RegExp([(n.escape||g).source,(n.interpolate||g).source,(n.evaluate||g).source].join(\"|\")+\"|$\",\"g\"),u=0,c=\"__p+='\";r.replace(a,(function(e,n,t,a,o){return c+=r.slice(u,o).replace(j,(function(r){return\"\\\\\"+y[r]})),n&&(c+=\"'+\\n((__t=(\"+n+\"))==null?'':_.escape(__t))+\\n'\"),t&&(c+=\"'+\\n((__t=(\"+t+\"))==null?'':__t)+\\n'\"),a&&(c+=\"';\\n\"+a+\"\\n__p+='\"),u=o+e.length,e})),c+=\"';\\n\",n.variable||(c=\"with(obj||{}){\\n\"+c+\"}\\n\"),c=\"var __t,__p='',__j=Array.prototype.join,print=function(){__p+=__j.call(arguments,'');};\\n\"+c+\"return __p;\\n\";try{t=new Function(n.variable||\"obj\",\"_\",c)}catch(r){throw r.source=c,r}if(e)return t(e,p);var o=function(r){return t.call(this,r,p)};return o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n",
       "      465: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(462),n=t(440),l=r.__importStar(t(18)),a=t(24),d=t(71);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n",
       "      466: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(448),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(71);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n",
       "      467: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(68),i=t(448),a=t(441),n=t(71);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups(this.view.indices),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,forceFitColumns:this.model.fit_columns,multiColumnSort:!1,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n",
       "      }, 438, {\"models/widgets/tables/main\":438,\"models/widgets/tables/index\":439,\"models/widgets/tables/cell_editors\":440,\"models/widgets/tables/data_table\":441,\"models/widgets/tables/table_widget\":457,\"models/widgets/widget\":458,\"styles/widgets/tables\":459,\"styles/widgets/slickgrid.css\":460,\"styles/widgets/tables.css\":461,\"models/widgets/tables/cell_formatters\":462,\"models/widgets/tables/table_column\":465,\"models/widgets/tables/row_aggregators\":466,\"models/widgets/tables/data_cube\":467}, {});\n",
       "      })\n",
       "\n",
       "\n",
       "      /* END bokeh-tables.min.js */\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      /* BEGIN bokeh-gl.min.js */\n",
       "      /*!\n",
       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
       "       * All rights reserved.\n",
       "       * \n",
       "       * Redistribution and use in source and binary forms, with or without modification,\n",
       "       * are permitted provided that the following conditions are met:\n",
       "       * \n",
       "       * Redistributions of source code must retain the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer.\n",
       "       * \n",
       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer in the documentation\n",
       "       * and/or other materials provided with the distribution.\n",
       "       * \n",
       "       * Neither the name of Anaconda nor the names of any contributors\n",
       "       * may be used to endorse or promote products derived from this software\n",
       "       * without specific prior written permission.\n",
       "       * \n",
       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
       "      */\n",
       "      (function(root, factory) {\n",
       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
       "      })(this, function(Bokeh, version) {\n",
       "        var define;\n",
       "        return (function(modules, entry, aliases, externals) {\n",
       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
       "          if (bokeh != null) {\n",
       "            return bokeh.register_plugin(modules, entry, aliases);\n",
       "          } else {\n",
       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
       "          }\n",
       "        })\n",
       "      ({\n",
       "      370: function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(371)},\n",
       "      371: function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);\n",
       "      /*\n",
       "          Copyright notice: many of the awesome techniques and  GLSL code contained in\n",
       "          this module are based on work by Nicolas Rougier as part of the Glumpy and\n",
       "          Vispy projects. The algorithms are published in\n",
       "          http://jcgt.org/published/0003/04/01/ and http://jcgt.org/published/0002/02/08/\n",
       "          \n",
       "          This module contains all gl-specific code to add gl support for the glyphs.\n",
       "          By implementing it separetely, the GL functionality can be spun off in a\n",
       "          separate library.\n",
       "          Other locations where we work with GL, or prepare for GL-rendering:\n",
       "          - canvas.ts\n",
       "          - plot.ts\n",
       "          - glyph.ts\n",
       "          - glyph_renderer.ts\n",
       "          */o.__exportStar(e(372),_),o.__exportStar(e(377),_)},\n",
       "      372: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(373),a=t(374),n=t(375),_=t(376),o=t(20);class h{constructor(t){this._atlas={},this._index=0,this._width=256,this._height=256,this.tex=new i.Texture2D(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._height,this._width],t.RGBA),this.tex.set_data([0,0],[this._height,this._width],new Uint8Array(this._height*this._width*4)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");if(void 0===this._atlas[e]){const[s,i]=this.make_pattern(t);this.tex.set_data([this._index,0],[1,this._width],new Uint8Array(s.map(t=>t+10))),this._atlas[e]=[this._index/this._height,i],this._index+=1}return this._atlas[e]}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,_,o;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(o=h<=s[r]?1:0,_=s[r],i=s[r+1]):(o=h>s[r]?-1:0,_=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=o,n[4*t+2]=_,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=_.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed){if(!isFinite(s.dx)||!isFinite(s.dy))return;i._baked_offset=[s.dx,s.dy],i._set_data(),i.data_changed=!1}this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);let{sx:a,sy:n}=s;const _=Math.sqrt(a*a+n*n);a/=_,n/=_,Math.abs(this._scale_aspect-n/a)>Math.abs(.001*this._scale_aspect)&&(i._update_scale(a,n),this._scale_aspect=n/a),this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex);const o=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[s.dx-o[0],s.dy-o[1]]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[a,n]),this.prog.set_uniform(\"u_scale_length\",\"float\",[_]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=o.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,_,o;const h=this.nvertices,r=new Float64Array(this.glyph._x),l=new Float64Array(this.glyph._y),g=_=new Float32Array(2*h),f=new Float32Array(2*h),u=o=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t]+this._baked_offset[0],g[2*t+1]=l[t]+this._baked_offset[1];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=_[2*(t+1)+0]-_[2*t+0],e[2*t+1]=_[2*(t+1)+1]-_[2*t+1];for(let t=0,s=h-1;t<s;t++)u[4*(t+1)+0]=e[2*t+0],u[4*(t+1)+1]=e[2*t+1],u[4*t+2]=e[2*t+0],u[4*t+3]=e[2*t+1];u[0]=e[0],u[1]=e[1],u[4*(h-1)+2]=e[2*(h-2)+0],u[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(o[4*t+0]*o[4*t+3]-o[4*t+1]*o[4*t+2],o[4*t+0]*o[4*t+2]+o[4*t+1]*o[4*t+3]);for(let t=0,e=h-1;t<e;t++)f[2*t+0]=c[t],f[2*t+1]=c[t+1];const d=4*h-4;this.V_position=i=new Float32Array(2*d),this.V_angles=s=new Float32Array(2*d),this.V_tangents=a=new Float32Array(4*d),this.V_texcoord=n=new Float32Array(2*d);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=f[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=u[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const p=6*(h-1);this.I_triangles=t=new Uint32Array(p);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,_=new Float32Array(i-1),o=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)_[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=_[t],o[2*(t+1)+0]=h,o[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=o[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGLGlyph=g,g.__name__=\"LineGLGlyph\"},\n",
       "      373: function _(t,e,r){var n,o,i,a,s,l,h,u,c,_=function(t,e){return Array.isArray(t)&&Array.isArray(e)?t.concat(e):t+e},f=function(t,e){if(null==e);else{if(Array.isArray(e)){for(var r=0;r<e.length;r++)if(p(t,e[r]))return!0;return!1}if(e.constructor===Object){for(var n in e)if(t==n)return!0;return!1}if(e.constructor==String)return e.indexOf(t)>=0}var o=Error(\"Not a container: \"+e);throw o.name=\"TypeError\",o},p=function t(e,r){if(null==e||null==r);else{if(Array.isArray(e)&&Array.isArray(r)){for(var n=0,o=e.length==r.length;o&&n<e.length;)o=t(e[n],r[n]),n+=1;return o}if(e.constructor===Object&&r.constructor===Object){var i=Object.keys(e),a=Object.keys(r);i.sort(),a.sort();var s;for(n=0,o=t(i,a);o&&n<i.length;)o=t(e[s=i[n]],r[s]),n+=1;return o}}return e==r},d=function(t,e){if(void 0===t||\"undefined\"!=typeof window&&window===t||\"undefined\"!=typeof global&&global===t)throw\"Class constructor is called as a function.\";for(var r in t)void 0!==Object[r]||\"function\"!=typeof t[r]||t[r].nobind||(t[r]=t[r].bind(t));t.__init__&&t.__init__.apply(t,e)},y=function(t,e){if((\"number\"==typeof t)+(\"number\"==typeof e)===1){if(t.constructor===String)return A.call(t,e);if(e.constructor===String)return A.call(e,t);if(Array.isArray(e)){var r=t;t=e,e=r}if(Array.isArray(t)){for(var n=[],o=0;o<e;o++)n=n.concat(t);return n}}return t*e},g=function(t){return null===t||\"object\"!=typeof t?t:void 0!==t.length?!!t.length&&t:void 0!==t.byteLength?!!t.byteLength&&t:t.constructor!==Object||!!Object.getOwnPropertyNames(t).length&&t},v=function(t){if(!Array.isArray(this))return this.append.apply(this,arguments);this.push(t)},m=function(t,e){return this.constructor!==Object?this.get.apply(this,arguments):void 0!==this[t]?this[t]:void 0!==e?e:null},x=function(){return\"function\"==typeof this.keys?this.keys.apply(this,arguments):Object.keys(this)},b=function(t){if(this.constructor!==String)return this.lstrip.apply(this,arguments);t=void 0===t?\" \\t\\r\\n\":t;for(var e=0;e<this.length;e++)if(t.indexOf(this[e])<0)return this.slice(e);return\"\"},E=function(t){if(!Array.isArray(this))return this.remove.apply(this,arguments);for(var e=0;e<this.length;e++)if(p(this[e],t))return void this.splice(e,1);var r=Error(t);throw r.name=\"ValueError\",r},A=function(t){if(this.repeat)return this.repeat(t);if(t<1)return\"\";for(var e=\"\",r=this.valueOf();t>1;)1&t&&(e+=r),t>>=1,r+=r;return e+r},w=function(t){return this.constructor!==String?this.startswith.apply(this,arguments):0==this.indexOf(t)};c=window.console,u=function(t,e){var r,n,o,i,a,s,l;for(e=void 0===e?\"periodic check\":e,i=[];n=t.getError(),!(p(n,t.NO_ERROR)||g(i)&&p(n,i[i.length-1]));)v.call(i,n);if(i.length){for(a=\"\",\"object\"!=typeof(s=i)||Array.isArray(s)||(s=Object.keys(s)),l=0;l<s.length;l+=1)r=s[l],a=_(a,r);throw(o=new Error(\"RuntimeError:OpenGL got errors (\"+e+\"): \"+a)).name=\"RuntimeError\",o}return null},(o=function(){d(this,arguments)}).prototype._base_class=Object,o.prototype._class_name=\"GlooObject\",o.prototype.__init__=function(t){if(this._gl=t,this.handle=null,this._create(),null===this.handle)throw\"AssertionError: this.handle !== null\";return null},o.prototype._create=function(){var t;throw(t=new Error(\"NotImplementedError:\")).name=\"NotImplementedError\",t},((a=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,a.prototype._class_name=\"Program\",a.prototype.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},a.prototype.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},a.prototype.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},a.prototype._create=function(){return this.handle=this._gl.createProgram(),this.locations={},this._unset_variables=[],this._validated=!1,this._samplers={},this._attributes={},this._known_invalid=[],null},a.prototype.delete=function(){return this._gl.deleteProgram(this.handle),null},a.prototype.activate=function(){return this._gl.useProgram(this.handle),null},a.prototype.deactivate=function(){return this._gl.useProgram(0),null},a.prototype.set_shaders=function(t,e){var r,n,o,i,a,s,l,h,u,c,f,p,d;for(s=this._gl,this._linked=!1,f=[[t,d=s.createShader(s.VERTEX_SHADER),\"vertex\"],[e,a=s.createShader(s.FRAGMENT_SHADER),\"fragment\"]],h=0;h<2;h+=1)if(r=(c=f[h])[0],l=c[1],p=c[2],s.shaderSource(l,r),s.compileShader(l),u=s.getShaderParameter(l,s.COMPILE_STATUS),!g(u))throw i=s.getShaderInfoLog(l),(o=new Error(\"RuntimeError:\"+_(\"errors in \"+p+\" shader:\\n\",i))).name=\"RuntimeError\",o;if(s.attachShader(this.handle,d),s.attachShader(this.handle,a),s.linkProgram(this.handle),!g(s.getProgramParameter(this.handle,s.LINK_STATUS)))throw(n=new Error(\"RuntimeError:Program link error:\\n\"+s.getProgramInfoLog(this.handle))).name=\"RuntimeError\",n;return this._unset_variables=this._get_active_attributes_and_uniforms(),s.detachShader(this.handle,d),s.detachShader(this.handle,a),s.deleteShader(d),s.deleteShader(a),this._known_invalid=[],this._linked=!0,null},a.prototype._get_active_attributes_and_uniforms=function(){var t,e,r,n,o,i,a,s,l,h,u,c,f,p,d,y,m,x;for(s=this._gl,this.locations={},p=new window.RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),o=s.getProgramParameter(this.handle,s.ACTIVE_UNIFORMS),e=s.getProgramParameter(this.handle,s.ACTIVE_ATTRIBUTES),x=[],\"object\"!=typeof(y=[[t=[],e,s.getActiveAttrib,s.getAttribLocation],[x,o,s.getActiveUniform,s.getUniformLocation]])||Array.isArray(y)||(y=Object.keys(y)),m=0;m<y.length;m+=1)for(r=(d=y[m])[0],n=d[1],i=d[2],a=d[3],l=0;l<n;l+=1){if(c=(f=(h=i.call(s,this.handle,l)).name).match(p),g(c))for(f=c[1],u=0;u<h.size;u+=1)v.call(r,[f+\"[\"+u+\"]\",h.type]);else v.call(r,[f,h.type]);this.locations[f]=a.call(s,this.handle,f)}return _(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(e[0]);return o}.apply(this),function(){var t,e,r,n=[];for(\"object\"!=typeof(e=x)||Array.isArray(e)||(e=Object.keys(e)),r=0;r<e.length;r++)t=e[r],n.push(t[0]);return n}.apply(this))},a.prototype.set_texture=function(t,e){var r,n,o;if(!g(this._linked))throw(r=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",r;return n=m.call(this.locations,t,-1),g(n<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active texture\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),o=x.call(this._samplers).length,f(t,this._samplers)&&(o=this._samplers[t][this._samplers[t].length-1]),this._samplers[t]=[e._target,e.handle,o],this._gl.uniform1i(n,o),null)},a.prototype.set_uniform=function(t,e,r){var n,o,i,a,s,l,h;if(!g(this._linked))throw(i=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",i;if(s=m.call(this.locations,t,-1),g(s<0))return f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active uniform\")),null;if(f(t,this._unset_variables)&&E.call(this._unset_variables,t),o=1,w.call(e,\"mat\")||(n=m.call({int:\"float\",bool:\"float\"},e,b.call(e,\"ib\")),o=Math.floor(r.length/this.ATYPEINFO[n][0])),g(o>1))for(l=0;l<o;l+=1)f(t+\"[\"+l+\"]\",this._unset_variables)&&f(h=t+\"[\"+l+\"]\",this._unset_variables)&&E.call(this._unset_variables,h);return a=this.UTYPEMAP[e],this.activate(),w.call(e,\"mat\")?this._gl[a](s,!1,r):this._gl[a](s,r),null},a.prototype.set_attribute=function(t,e,r,n,o){var i,a,s,l,u,_;if(n=void 0===n?0:n,o=void 0===o?0:o,!g(this._linked))throw(a=new Error(\"RuntimeError:Cannot set attribute when program has no code\")).name=\"RuntimeError\",a;return u=r instanceof h,l=m.call(this.locations,t,-1),g(l<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),g(u)&&g(o>0)||c.log(\"Variable \"+t+\" is not an active attribute\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),g(u)?(s=\"vertexAttribPointer\",i=[(_=this.ATYPEINFO[e])[0],_[1],this._gl.FALSE,n,o],this._attributes[t]=[r.handle,l,s,i]):(s=this.ATYPEMAP[e],this._attributes[t]=[0,l,s,r]),null)},a.prototype._pre_draw=function(){var t,e,r,n,o,i,a,s,l,h,u,c;for(c in this.activate(),a=this._samplers)a.hasOwnProperty(c)&&(l=(i=c=a[c])[0],s=i[1],h=i[2],this._gl.activeTexture(_(this._gl.TEXTURE0,h)),this._gl.bindTexture(l,s));for(c in o=this._attributes)o.hasOwnProperty(c)&&(u=(n=c=o[c])[0],e=n[1],r=n[2],t=n[3],g(u)?(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,u),this._gl.enableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))):(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,null),this._gl.disableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))));return g(this._validated)||(this._validated=!0,this._validate()),null},a.prototype._validate=function(){var t;if(this._unset_variables.length&&c.log(\"Program has unset variables: \"+this._unset_variables),this._gl.validateProgram(this.handle),!g(this._gl.getProgramParameter(this.handle,this._gl.VALIDATE_STATUS)))throw c.log(this._gl.getProgramInfoLog(this.handle)),(t=new Error(\"RuntimeError:Program validation error\")).name=\"RuntimeError\",t;return null},a.prototype.draw=function(t,e){var r,n,o,a,s;if(!g(this._linked))throw(n=new Error(\"RuntimeError:Cannot draw program if code has not been set\")).name=\"RuntimeError\",n;return u(this._gl,\"before draw\"),g(e instanceof i)?(this._pre_draw(),e.activate(),r=e._buffer_size/2,a=this._gl.UNSIGNED_SHORT,this._gl.drawElements(t,r,a,0),e.deactivate()):(o=(s=e)[0],r=s[1],g(r)&&(this._pre_draw(),this._gl.drawArrays(t,o,r))),u(this._gl,\"after draw\"),null},((n=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,n.prototype._class_name=\"Buffer\",n.prototype._target=null,n.prototype._usage=35048,n.prototype._create=function(){return this.handle=this._gl.createBuffer(),this._buffer_size=0,null},n.prototype.delete=function(){return this._gl.deleteBuffer(this.handle),null},n.prototype.activate=function(){return this._gl.bindBuffer(this._target,this.handle),null},n.prototype.deactivate=function(){return this._gl.bindBuffer(this._target,null),null},n.prototype.set_size=function(t){return p(t,this._buffer_size)||(this.activate(),this._gl.bufferData(this._target,t,this._usage),this._buffer_size=t),null},n.prototype.set_data=function(t,e){return this.activate(),this._gl.bufferSubData(this._target,t,e),null},(h=function(){d(this,arguments)}).prototype=Object.create(n.prototype),h.prototype._base_class=n.prototype,h.prototype._class_name=\"VertexBuffer\",h.prototype._target=34962,(i=function(){d(this,arguments)}).prototype=Object.create(n.prototype),i.prototype._base_class=n.prototype,i.prototype._class_name=\"IndexBuffer\",i.prototype._target=34963,((s=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,s.prototype._class_name=\"Texture2D\",s.prototype._target=3553,s.prototype._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},s.prototype._create=function(){return this.handle=this._gl.createTexture(),this._shape_format=null,null},s.prototype.delete=function(){return this._gl.deleteTexture(this.handle),null},s.prototype.activate=function(){return this._gl.bindTexture(this._target,this.handle),null},s.prototype.deactivate=function(){return this._gl.bindTexture(this._target,0),null},s.prototype._get_alignment=function(t){var e,r,n;for(\"object\"!=typeof(r=[4,8,2,1])||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n+=1)if(e=r[n],p(t%e,0))return e;return null},s.prototype.set_wrapping=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_S,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_T,e),null},s.prototype.set_interpolation=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_MIN_FILTER,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_MAG_FILTER,e),null},s.prototype.set_size=function(t,e){var r,n,o;return r=(n=t)[0],o=n[1],p([r,o,e],this._shape_format)||(this._shape_format=[r,o,e],this.activate(),this._gl.texImage2D(this._target,0,e,o,r,0,e,this._gl.UNSIGNED_BYTE,null)),this.u_shape=[r,o],null},s.prototype.set_data=function(t,e,r){var n,o,i,a,s,l,h,u,c,_;if(p(e.length,2)&&(e=[e[0],e[1],1]),this.activate(),i=this._shape_format[2],s=(l=e)[0],u=l[1],l[2],_=(h=t)[0],c=h[1],null===(a=m.call(this._types,r.constructor.name,null)))throw(o=new Error(\"ValueError:Type \"+r.constructor.name+\" not allowed for texture\")).name=\"ValueError\",o;return n=this._get_alignment(y(e[e.length-2],e[e.length-1])),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,n),this._gl.texSubImage2D(this._target,0,c,_,u,s,i,a,r),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,4),null},((l=function(){d(this,arguments)}).prototype=Object.create(s.prototype))._base_class=s.prototype,l.prototype._class_name=\"Texture3DLike\",l.prototype.GLSL_SAMPLE_NEAREST=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float zindex = floor(texcoord.z * shape.z);\\n\\n            // Do a lookup in the 2D texture\\n            float u = (mod(zindex, ncols) + texcoord.x) / ncols;\\n            float v = (floor(zindex / ncols) + texcoord.y) / nrows;\\n\\n            return texture2D(tex, vec2(u,v));\\n        }\\n    \",l.prototype.GLSL_SAMPLE_LINEAR=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float z = texcoord.z * shape.z;\\n            float zindex1 = floor(z);\\n            float u1 = (mod(zindex1, ncols) + texcoord.x) / ncols;\\n            float v1 = (floor(zindex1 / ncols) + texcoord.y) / nrows;\\n\\n            float zindex2 = zindex1 + 1.0;\\n            float u2 = (mod(zindex2, ncols) + texcoord.x) / ncols;\\n            float v2 = (floor(zindex2 / ncols) + texcoord.y) / nrows;\\n\\n            vec4 s1 = texture2D(tex, vec2(u1, v1));\\n            vec4 s2 = texture2D(tex, vec2(u2, v2));\\n\\n            return s1 * (zindex2 - z) + s2 * (z - zindex1);\\n        }\\n    \",l.prototype._get_tile_info=function(t){var e,r,n,o;if(r=this._gl.getParameter(this._gl.MAX_TEXTURE_SIZE),o=Math.floor(r/t[1]),o=Math.min(o,t[0]),n=window.Math.ceil(t[0]/o),g(y(n,t[2])>r))throw(e=new Error(\"RuntimeError:Cannot fit 3D data with shape \"+t+\" onto simulated 2D texture.\")).name=\"RuntimeError\",e;return[o,n]},l.prototype.set_size=function(t,e){var r,n,o,i;return n=(i=this._get_tile_info(t))[0],r=i[1],o=[y(t[1],n),y(t[2],r)],l.prototype._base_class.set_size.call(this,o,e),this.u_shape=[t[0],t[1],t[2]],this.u_tiles=[r,n],null},l.prototype.set_data=function(t,e,r){var n,o,i,a,s,h,u,c,_,f,d,v;if(p(e.length,3)&&(e=[e[0],e[1],e[2],1]),!function(t){for(var e=0;e<t.length;e++)if(!g(t[e]))return!1;return!0}(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(p(e,0));return o}.apply(this)))throw(i=new Error(\"ValueError:Texture3DLike does not support nonzero offset (for now)\")).name=\"ValueError\",i;if(s=(c=this._get_tile_info(e))[0],a=c[1],u=[y(e[1],s),y(e[2],a),e[3]],p(a,1))l.prototype._base_class.set_data.call(this,[0,0],u,r);else for(v=new(0,r.constructor)(y(y(u[0],u[1]),u[2])),l.prototype._base_class.set_data.call(this,[0,0],u,v),d=0;d<e[0];d+=1)h=(_=[Math.floor(d/a),d%a])[0],n=_[1],o=Math.floor(r.length/e[0]),f=r.slice(y(d,o),y(d+1,o)),l.prototype._base_class.set_data.call(this,[y(h,e[1]),y(n,e[2])],e.slice(1),f);return null},e.exports={Buffer:n,GlooObject:o,IndexBuffer:i,Program:a,Texture2D:s,Texture3DLike:l,VertexBuffer:h,check_error:u,console:c}},\n",
       "      374: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(20),s=e(72);class i{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(e){e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,a){if(0==t.length)return!0;const[r,i,n]=[0,1,2];let l=1,h=1,[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]);if(isNaN(o[0]+o[1]+o[2]+_[0]+_[1]+_[2]))return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;if(l=100/Math.min(Math.max(Math.abs(o[1]-o[0]),1e-12),1e12),h=100/Math.min(Math.max(Math.abs(_[1]-_[0]),1e-12),1e12),[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]),Math.abs(o[1]-o[0]-(o[2]-o[1]))>1e-6||Math.abs(_[1]-_[0]-(_[2]-_[1]))>1e-6)return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;const[c,u]=[(o[1]-o[0])/l,(_[1]-_[0])/h],{width:d,height:g}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,f={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:d,height:g,dx:o[0]/c,dy:_[0]/u,sx:c,sy:u};return this.draw(t,a,f),!0}}function n(e,t){const a=new Float32Array(e);for(let r=0,s=e;r<s;r++)a[r]=t;return a}function l(e,t){return void 0!==e[t].spec.value}a.BaseGLGlyph=i,i.__name__=\"BaseGLGlyph\",a.line_width=function(e){return e<2&&(e=Math.sqrt(2*e)),e},a.fill_array_with_float=n,a.fill_array_with_vec=function(e,t,a){const r=new Float32Array(e*t);for(let s=0;s<e;s++)for(let e=0;e<t;e++)r[s*t+e]=a[e];return r},a.visual_prop_is_singular=l,a.attach_float=function(e,t,a,r,s,i){if(s.doit)if(l(s,i))t.used=!1,e.set_attribute(a,\"float\",s[i].value());else{t.used=!0;const n=new Float32Array(s.get_array(i));t.set_size(4*r),t.set_data(0,n),e.set_attribute(a,\"float\",t)}else t.used=!1,e.set_attribute(a,\"float\",[0])},a.attach_color=function(e,t,a,s,i,h){let o;const _=h+\"_color\",c=h+\"_alpha\";if(i.doit)if(l(i,_)&&l(i,c))t.used=!1,o=r.color2rgba(i[_].value(),i[c].value()),e.set_attribute(a,\"vec4\",o);else{let h,u;t.used=!0,u=l(i,_)?(()=>{const e=[];for(let t=0,a=s;t<a;t++)e.push(i[_].value());return e})():i.get_array(_),h=l(i,c)?n(s,i[c].value()):i.get_array(c);const d=new Float32Array(4*s);for(let e=0,t=s;e<t;e++){o=r.color2rgba(u[e],h[e]);for(let t=0,a=4;t<a;t++)d[4*e+t]=o[t]}t.set_size(4*s*4),t.set_data(0,d),e.set_attribute(a,\"vec4\",t)}else t.used=!1,e.set_attribute(a,\"vec4\",[0,0,0,0])}},\n",
       "      375: function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = (a_position + u_offset) * abs_scale;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n",
       "      376: function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n",
       "      377: function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(373),r=t(374),o=t(378),_=t(379),h=t(213),l=t(12),n=t(72);class g extends r.BaseGLGlyph{init(){const{gl:t}=this,s=o.vertex_shader,e=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(s,e),this.vbo_x=new a.VertexBuffer(t),this.prog.set_attribute(\"a_x\",\"float\",this.vbo_x),this.vbo_y=new a.VertexBuffer(t),this.prog.set_attribute(\"a_y\",\"float\",this.vbo_y),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,s,e){const i=s.glglyph,{nvertices:a}=i;if(i.data_changed){if(!isFinite(e.dx)||!isFinite(e.dy))return;i._baked_offset=[e.dx,e.dy],i._set_data(a),i.data_changed=!1}else this.glyph instanceof h.CircleView&&null!=this.glyph._radius&&(null==this.last_trans||e.sx!=this.last_trans.sx||e.sy!=this.last_trans.sy)&&(this.last_trans=e,this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))));this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1);const r=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[e.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[e.width,e.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[e.dx-r[0],e.dy-r[1]]),this.prog.set_uniform(\"u_scale\",\"vec2\",[e.sx,e.sy]),this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const s=window.navigator.userAgent;s.indexOf(\"MSIE \")+s.indexOf(\"Trident/\")+s.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const s=64e3,e=[];for(let t=0,i=Math.ceil(a/s);t<i;t++)e.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%s;e[Math.floor(t[i]/s)].push(a)}for(let t=0,a=e.length;t<a;t++){const a=new Uint16Array(e[t]),r=t*s*4;0!==a.length&&(this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x,0,r),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const s=4*t;this.vbo_x.set_size(s),this.vbo_y.set_size(s),this.vbo_a.set_size(s),this.vbo_s.set_size(s);const e=new Float64Array(this.glyph._x),i=new Float64Array(this.glyph._y);for(let s=0,a=t;s<a;s++)e[s]+=this._baked_offset[0],i[s]+=this._baked_offset[1];this.vbo_x.set_data(0,new Float32Array(e)),this.vbo_y.set_data(0,new Float32Array(i)),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof h.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){r.attach_float(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),r.attach_color(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),r.attach_color(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function f(t){return class extends g{get _marker_code(){return t}}}e.MarkerGLGlyph=g,g.__name__=\"MarkerGLGlyph\";const d=i.__importStar(t(379));e.CircleGLGlyph=f(d.circle),e.SquareGLGlyph=f(d.square),e.DiamondGLGlyph=f(d.diamond),e.TriangleGLGlyph=f(d.triangle),e.InvertedTriangleGLGlyph=f(d.invertedtriangle),e.HexGLGlyph=f(d.hex),e.CrossGLGlyph=f(d.cross),e.CircleCrossGLGlyph=f(d.circlecross),e.SquareCrossGLGlyph=f(d.squarecross),e.DiamondCrossGLGlyph=f(d.diamondcross),e.XGLGlyph=f(d.x),e.CircleXGLGlyph=f(d.circlex),e.SquareXGLGlyph=f(d.squarex),e.AsteriskGLGlyph=f(d.asterisk)},\n",
       "      378: function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_x;\\nattribute float a_y;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    // Calculate position - the -0.5 is to correct for canvas origin\\n    vec2 pos = (vec2(a_x, a_y) + u_offset) * u_scale; // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n",
       "      379: function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n    //gl_FragColor.rgb *= gl_FragColor.a;  // pre-multiply alpha\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n",
       "      }, 370, {\"models/glyphs/webgl/main\":370,\"models/glyphs/webgl/index\":371,\"models/glyphs/webgl/line\":372,\"models/glyphs/webgl/base\":374,\"models/glyphs/webgl/line.vert\":375,\"models/glyphs/webgl/line.frag\":376,\"models/glyphs/webgl/markers\":377,\"models/glyphs/webgl/markers.vert\":378,\"models/glyphs/webgl/markers.frag\":379}, {});\n",
       "      })\n",
       "\n",
       "\n",
       "      /* END bokeh-gl.min.js */\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      /* BEGIN panel.min.js */\n",
       "      /*!\n",
       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
       "       * All rights reserved.\n",
       "       * \n",
       "       * Redistribution and use in source and binary forms, with or without modification,\n",
       "       * are permitted provided that the following conditions are met:\n",
       "       * \n",
       "       * Redistributions of source code must retain the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer.\n",
       "       * \n",
       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer in the documentation\n",
       "       * and/or other materials provided with the distribution.\n",
       "       * \n",
       "       * Neither the name of Anaconda nor the names of any contributors\n",
       "       * may be used to endorse or promote products derived from this software\n",
       "       * without specific prior written permission.\n",
       "       * \n",
       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
       "      */\n",
       "      (function(root, factory) {\n",
       "        factory(root[\"Bokeh\"], undefined);\n",
       "      })(this, function(Bokeh, version) {\n",
       "        var define;\n",
       "        return (function(modules, entry, aliases, externals) {\n",
       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
       "          if (bokeh != null) {\n",
       "            return bokeh.register_plugin(modules, entry, aliases);\n",
       "          } else {\n",
       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
       "          }\n",
       "        })\n",
       "      ({\n",
       "      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"22ae8fda70\"));o.Panel=s,e(\"@bokehjs/base\").register_models(s)},\n",
       "      \"22ae8fda70\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=a(\"tslib\");var t=a(\"3343056bd8\");r.AcePlot=t.AcePlot;var c=a(\"66d52165db\");r.Audio=c.Audio;var l=a(\"71a9759436\");r.CommManager=l.CommManager;var d=a(\"d0d2aafca0\");r.DeckGLPlot=d.DeckGLPlot;var v=a(\"ed08037ce5\");r.HTML=v.HTML;var b=a(\"284504a0cf\");r.JSON=b.JSON;var P=a(\"61c9ac7aac\");r.FileDownload=P.FileDownload;var f=a(\"7b859fb3cf\");r.KaTeX=f.KaTeX;var i=a(\"0c21036737\");r.MathJax=i.MathJax;var n=a(\"79c41bbf71\");r.Player=n.Player;var s=a(\"56da045fbd\");r.PlotlyPlot=s.PlotlyPlot;var M=a(\"76307e5afa\");r.Progress=M.Progress;var S=a(\"38b2bc9574\");r.State=S.State;var g=a(\"294adeb985\");r.VegaPlot=g.VegaPlot;var m=a(\"b0c3e9e9c2\");r.Video=m.Video;var V=a(\"3c7145a2fa\");r.VideoStream=V.VideoStream,o.__exportStar(a(\"ecfbb965eb\"),r)},\n",
       "      \"3343056bd8\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._editor.setTheme(\"ace/theme/\"+this.model.theme),this._editor.session.setMode(\"ace/mode/\"+this.model.language),this._editor.setReadOnly(this.model.readonly),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_language(){this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}o.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[i.String],language:[i.String,\"python\"],theme:[i.String,\"chrome\"],annotations:[i.Array,[]],readonly:[i.Boolean,!1]}),this.override({height:300,width:300})}}o.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n",
       "      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n",
       "      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n",
       "      \"71a9759436\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),_=e(\"@bokehjs/protocol/message\"),l=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new l.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.unshift(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=_.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch(this._event_buffer));this._client_comm.send(e),this._event_buffer=[]}on_ack(e){const t=e.metadata;this._event_buffer.length?(this.process_events(),this._blocked=!0,this._timeout=Date.now()+this.timeout):this._blocked=!1,this._event_buffer=[],\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n",
       "      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n",
       "      \"064eac2866\": function _(e,t,n){\n",
       "      /*\n",
       "          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n",
       "          below is preserved to comply with the original license.\n",
       "          \n",
       "          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n",
       "          \n",
       "          Permission is hereby granted, free of charge, to any person obtaining a copy\n",
       "          of this software and associated documentation files (the \"Software\"), to deal\n",
       "          in the Software without restriction, including without limitation the rights\n",
       "          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n",
       "          copies of the Software, and to permit persons to whom the Software is\n",
       "          furnished to do so, subject to the following conditions:\n",
       "          \n",
       "          The above copyright notice and this permission notice shall be included in\n",
       "          all copies or substantial portions of the Software.\n",
       "          \n",
       "          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n",
       "          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n",
       "          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n",
       "          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n",
       "          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n",
       "          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n",
       "          THE SOFTWARE.\n",
       "          */\n",
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       "      \"093eb75864\": function 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i=s(this.type,this.json,this.useToJSON?this.json.toJSON():this.json);e.appendChild(document.createTextNode(i)),t.appendChild(e)}if(this.isObject&&this.config.hoverPreviewEnabled){var a=m(\"span\",\"preview-text\");a.appendChild(document.createTextNode(this.getInlinepreview())),t.appendChild(a)}var l=m(\"div\",\"children\");return this.isObject&&l.classList.add(f(\"object\")),this.isArray&&l.classList.add(f(\"array\")),this.isEmpty&&l.classList.add(f(\"empty\")),this.config&&this.config.theme&&this.element.classList.add(f(this.config.theme)),this.isOpen&&this.element.classList.add(f(\"open\")),this.element.appendChild(t),this.element.appendChild(l),this.isObject&&this.isOpen&&this.appendChildren(),this.isObject&&!this.useToJSON&&t.addEventListener(\"click\",this.toggleOpen.bind(this)),this.element},t.prototype.appendChildren=function(e){var r=this;void 0===e&&(e=!1);var n=this.element.querySelector(\"div.\"+f(\"children\"));if(n&&!this.isEmpty)if(e){var o=0,i=function(){var e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n",
       "      \"61c9ac7aac\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=l.__importStar(e(\"@bokehjs/core/properties\"));class a extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el)}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}}i.FileDownloadView=a,a.__name__=\"FileDownloadView\";class h extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=a,this.define({auto:[n.Boolean,!1],clicks:[n.Number,0],data:[n.String,null],label:[n.String,\"Download\"],filename:[n.String,null],button_type:[n.ButtonType,\"default\"],_transfers:[n.Number,0]}),this.override({title:\"\"})}}i.FileDownload=h,h.__name__=\"FileDownload\",h.__module__=\"panel.models.widgets\",h.init_FileDownload()},\n",
       "      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n",
       "      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n",
       "      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n",
       "      \"56da045fbd\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),l=t(\"@bokehjs/core/util/object\"),r=t(\"@bokehjs/core/util/eq\"),s=t(\"@bokehjs/models/layouts/html_box\"),n=t(\"99a25e6992\"),a=t(\"990b5dd5c7\"),p=t(\"7116a7a602\"),h=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||a.isPlainObject(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class _ extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=n.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=a.deepCopy(this.model.layout);if(this._relayouting){const t=this.el.layout;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this.el,t,e,this.model.config).then(()=>{this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this.el.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this.el,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this.el.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this.el.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this.el,t,\"restyle\"),this._updateViewportProperty()}),this.el.on(\"plotly_click\",t=>{this.model.click_data=h(this.el,t,\"click\")}),this.el.on(\"plotly_hover\",t=>{this.model.hover_data=h(this.el,t,\"hover\")}),this.el.on(\"plotly_selected\",t=>{this.model.selected_data=h(this.el,t,\"selected\")}),this.el.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this.el.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this.el.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1})}_get_trace(t,e){const o=l.clone(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],n=o;for(let t of r.slice(0,-1))n=n[t];e&&1==r.length?n[s]=[l]:n[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this.el._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(r.isEqual(a.get(t,o),e))return!0;{let t=a.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this.el._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=a.deepCopy(t[o].range))}r.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=a.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=_,_.__name__=\"PlotlyPlotView\";class d extends s.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=_,this.define({data:[i.Array,[]],layout:[i.Any,{}],config:[i.Any,{}],data_sources:[i.Array,[]],relayout_data:[i.Any,{}],restyle_data:[i.Array,[]],click_data:[i.Any,{}],hover_data:[i.Any,{}],clickannotation_data:[i.Any,{}],selected_data:[i.Any,{}],viewport:[i.Any,{}],viewport_update_policy:[i.String,\"mouseup\"],viewport_update_throttle:[i.Number,200],_render_count:[i.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n",
       "      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n",
       "      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n",
       "      \"76307e5afa\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class h extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Number,null]})}}t.Progress=h,h.__name__=\"Progress\",h.__module__=\"panel.models.widgets\",h.init_Progress()},\n",
       "      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n",
       "      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n",
       "      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n",
       "      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n",
       "      \"ecfbb965eb\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"5b5e56e89a\");l.VTKPlot=V.VTKPlot;var t=e(\"729dd26c71\");l.VTKVolumePlot=t.VTKVolumePlot;var K=e(\"e23461e5d7\");l.VTKAxes=K.VTKAxes},\n",
       "      \"5b5e56e89a\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/core/dom\"),a=e(\"c704c63c0a\"),o=e(\"aaf560d219\");class r extends a.AbstractVTKView{constructor(){super(...arguments),this._axes_initialized=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.axes.change,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_renwin.getRenderWindow().render()}),this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}render(){super.render(),this._axes=null,this._axes_initialized=!1,this._plot()}after_layout(){this._axes_initialized||(this._render_axes_canvas(),this._axes_initialized=!0)}_render_axes_canvas(){const e=this._vtk_container.getElementsByTagName(\"canvas\");if(1!=e.length)throw Error(\"Error at initialization of the 3D scene, container should have one and only one canvas\");e[0].classList.add(\"scene3d-canvas\");const t=i.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}});t.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(t),this._vtk_renwin.setResizeCallback(()=>{const e=this._vtk_container.getBoundingClientRect(),n=Math.floor(e.width*window.devicePixelRatio),s=Math.floor(e.height*window.devicePixelRatio);t.setAttribute(\"width\",n.toFixed()),t.setAttribute(\"height\",s.toFixed())})}_delete_axes(){if(null==this._axes)return;Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]));const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],t=e.getContext(\"2d\");t&&t.clearRect(0,0,e.clientWidth*window.devicePixelRatio,e.clientHeight*window.devicePixelRatio),this._axes=null}_set_axes(){if(this.model.axes){const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],{psActor:t,axesActor:n,gridActor:s}=this.model.axes.create_axes(e);this._axes={psActor:t,axesActor:n,gridActor:s},this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(n),this._vtk_renwin.getRenderer().addActor(s)}}_plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=o.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=o.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),s=o.vtk.macro.debounce(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this.model.properties.camera.change.emit()},100);n.setUrl(\"index.json\"),n.onReady(s)}})}}n.VTKPlotView=r,r.__name__=\"VTKPlotView\";class d extends a.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}static init_VTKPlot(){this.prototype.default_view=r,this.define({data:[s.String],axes:[s.Instance],enable_keybindings:[s.Boolean,!1]})}}n.VTKPlot=d,d.__name__=\"VTKPlot\",d.init_VTKPlot()},\n",
       "      \"c704c63c0a\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/core/util/object\"),a=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"7116a7a602\"),_=e(\"aaf560d219\");class d extends o.PanelHTMLBoxView{constructor(){super(...arguments),this._setting_camera=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()}),this.connect(this.model.properties.orientation_widget.change,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.connect(this.model.properties.camera.change,()=>this._set_camera_state())}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),e?this._widgetManager.enablePicking():this._widgetManager.disablePicking(),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render()}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance(),t=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()});t.setEnabled(!0),t.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),t.setViewportSize(.15),t.setMinPixelSize(100),t.setMaxPixelSize(300),this._orientationWidget=t;const i=_.vtkns.WidgetManager.newInstance();i.setRenderer(t.getRenderer());const n=_.vtkns.InteractiveOrientationWidget.newInstance();n.placeWidget(e.getBounds()),n.setBounds(e.getBounds()),n.setPlaceFactor(1);const r=i.addWidget(n);this._widgetManager=i,r.onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}),this._orientation_widget_visibility(this.model.orientation_widget)}_get_camera_state(){if(!this._setting_camera){this._setting_camera=!0;const e=s.clone(this._vtk_renwin.getRenderer().getActiveCamera().get());delete e.classHierarchy,delete e.vtkObject,delete e.vtkCamera,delete e.viewPlaneNormal,this.model.camera=e,this._setting_camera=!1}}_set_camera_state(){if(!this._setting_camera){this._setting_camera=!0;try{this.model.camera&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera)}finally{this._setting_camera=!1}this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}}render(){super.render(),this._orientationWidget=null,this._vtk_container=r.div(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin=_.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container}),this._remove_default_key_binding(),this._create_orientation_widget(),this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._get_camera_state()),this._set_camera_state(),this.model.renderer_el=this._vtk_renwin}after_layout(){super.after_layout(),this._vtk_renwin.resize()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}}i.AbstractVTKView=d,d.__name__=\"AbstractVTKView\";class c extends a.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({orientation_widget:[n.Boolean,!1],camera:[n.Instance]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=c,c.__name__=\"AbstractVTKPlot\",c.__module__=\"panel.models.vtk\",c.init_AbstractVTKPlot()},\n",
       "      \"aaf560d219\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"@bokehjs/core/util/array\");function a(t){const e=Math.min(Math.max(Math.round(t),0),255).toString(16);return 2==e.length?e:\"0\"+e}function o(t,e,n){return\"#\"+a(t)+a(e)+a(n)}function i(t){for(var e=new ArrayBuffer(t.length),n=new Uint8Array(e),r=0,a=t.length;r<a;r++)n[r]=t.charCodeAt(r);return e}n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk&&(n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox),n.hexToRGB=function(t){return[parseInt(t.slice(1,3),16)/255,parseInt(t.slice(3,5),16)/255,parseInt(t.slice(5,7),16)/255]},n.rgbToHex=o,n.vtkLutToMapper=function(t){const{scale:e,nodes:a}=t.get(\"scale\",\"nodes\");if(e!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const i=a.map(t=>t.x),s=Math.min(...i),k=Math.max(...i),v=r.linspace(s,k,255),c=[0,0,0];return{low:s,high:k,palette:v.map(e=>(t.getColor(e,c),o(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(t){const e=n.vtkns.ImageData.newInstance({spacing:t.spacing});e.setDimensions(t.dims),e.setOrigin(null!=t.origin?t.origin:t.dims.map(t=>t/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[t.dtype](i(atob(t.buffer)))});return e.getPointData().setScalars(r),e},n.majorAxis=function(t,e,n){const r=[0,0,0],a=Math.abs(t[e])>Math.abs(t[n])?e:n,o=t[a]>0?1:-1;return r[a]=o,r},n.cartesian_product=function(...t){return t.reduce((t,e)=>t.flatMap(t=>e.map(e=>[].concat(t,e))))}},\n",
       "      \"729dd26c71\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"c704c63c0a\"),n=e(\"aaf560d219\");class o extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.colormap.change,()=>{this.colormap_slector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_slector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_j.change,()=>{this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_k.change,()=>{this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})}get volume(){return this._controllerWidget.getActor()}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_slector(){return this.el.querySelector(\".js-color-preset\")}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}render(){super.render(),this._controllerWidget=n.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._vtk_image_data=n.data2VTKImageData(this.model.data),this._controllerWidget.setContainer(this.el),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._plot_volume(),this._connect_controls(),this._plot_slices(),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderer().resetCamera()}_connect_controls(){this.colormap_slector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_slector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_slector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_volume(){const e=this._vtk_image_data,t=n.vtkns.Volume.newInstance(),i=n.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),r=n.vtkns.ColorTransferFunction.newInstance();r.onModified(()=>this.model.mapper=n.vtkLutToMapper(r));const o=n.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,r),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,n.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),t,!0)}_plot_slices(){const e=this._vtk_image_data,t=n.vtkns.ImageSlice.newInstance(),i=n.vtkns.ImageSlice.newInstance(),s=n.vtkns.ImageSlice.newInstance(),r=n.vtkns.ImageMapper.newInstance(),o=n.vtkns.ImageMapper.newInstance(),a=n.vtkns.ImageMapper.newInstance();r.setInputData(e),r.setISlice(this.model.slice_i),t.setMapper(r),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=n.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const c=this.volume.getProperty().getRGBTransferFunction(0),d=t.getProperty();i.setProperty(d),s.setProperty(d),d.setRGBTransferFunction(c),d.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_set_volume_visibility(e){this.volume.setVisibility(e)}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({data:[s.Instance],shadow:[s.Boolean,!0],sampling:[s.Number,.4],edge_gradient:[s.Number,.2],colormap:[s.String],rescale:[s.Boolean,!1],ambient:[s.Number,.2],diffuse:[s.Number,.7],specular:[s.Number,.3],specular_power:[s.Number,8],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],display_volume:[s.Boolean,!0],display_slices:[s.Boolean,!1],render_background:[s.String,\"#52576e\"],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n",
       "      \"e23461e5d7\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\"),n=t(\"2f3fd5db07\"),a=t(\"@bokehjs/model\"),c=e.__importStar(t(\"@bokehjs/core/properties\")),r=t(\"aaf560d219\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[c.Array],xticker:[c.Instance],yticker:[c.Instance],zticker:[c.Instance],digits:[c.Number,1],show_grid:[c.Boolean,!0],grid_opacity:[c.Number,.1],axes_opacity:[c.Number,1],fontsize:[c.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(r.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(r.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(r.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=r.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=r.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=r.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,a)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();n.mat4.transpose(l,l);const o=i.getProjectionMatrix(a,-1,1);n.mat4.transpose(o,o),c.clearRect(0,0,r.width,r.height),s.forEach((t,s)=>{const i=h.getPoint(s),e=n.vec3.fromValues(i[0],i[1],i[2]);if(n.vec3.transformMat4(e,e,l),e[2]+=.05,n.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let i;c.font=\"30px serif\",c.textAlign=\"center\",c.textBaseline=\"alphabetic\",c.fillText(\".\",t[0],r.height-t[1]+2),c.font=this.fontsize*window.devicePixelRatio+\"px serif\",c.textAlign=\"right\",c.textBaseline=\"top\",i=s<this.xticks.length?this.xlabels[s]:s>=this.xticks.length&&s<this.xticks.length+this.yticks.length?this.ylabels[s-this.xticks.length]:this.zlabels[s-(this.xticks.length+this.yticks.length)],c.fillText(\"\"+i,t[0],r.height-t[1])}})}});const a=r.vtkns.Actor.newInstance();a.setMapper(e);const c=r.vtkns.Mapper.newInstance();c.setInputData(i);const h=r.vtkns.Actor.newInstance();return h.setMapper(c),h.getProperty().setOpacity(this.axes_opacity),{psActor:a,axesActor:h,gridActor:this._create_grid_axes()}}}i.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n",
       "      \"2f3fd5db07\": function _(t,c,a){Object.defineProperty(a,\"__esModule\",{value:!0});const o=t(\"tslib\"),r=o.__importStar(t(\"68ca94c15c\"));a.glMatrix=r;const _=o.__importStar(t(\"7c0b8e6048\"));a.mat2=_;const e=o.__importStar(t(\"dc03f0a621\"));a.mat2d=e;const i=o.__importStar(t(\"0285c50a7e\"));a.mat3=i;const m=o.__importStar(t(\"a427635f32\"));a.mat4=m;const n=o.__importStar(t(\"eb06fc032a\"));a.quat=n;const s=o.__importStar(t(\"277615c682\"));a.quat2=s;const p=o.__importStar(t(\"c56d9ff837\"));a.vec2=p;const S=o.__importStar(t(\"2c5eb22089\"));a.vec3=S;const f=o.__importStar(t(\"c1aa33d719\"));a.vec4=f},\n",
       "      \"68ca94c15c\": function _(t,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof Float32Array?Float32Array:Array,r.RANDOM=Math.random,r.setMatrixArrayType=function(t){r.ARRAY_TYPE=t};var n=Math.PI/180;r.toRadian=function(t){return t*n},r.equals=function(t,a){return Math.abs(t-a)<=r.EPSILON*Math.max(1,Math.abs(t),Math.abs(a))},Math.hypot||(Math.hypot=function(){for(var t=0,a=arguments.length;a--;)t+=arguments[a]*arguments[a];return Math.sqrt(t)})},\n",
       "      \"7c0b8e6048\": function _(t,n,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1],f=r[2],s=r[3];return t[0]=a*c+e*i,t[1]=u*c+o*i,t[2]=a*f+e*s,t[3]=u*f+o*s,t}function e(t,n,r){return t[0]=n[0]-r[0],t[1]=n[1]-r[1],t[2]=n[2]-r[2],t[3]=n[3]-r[3],t}r.create=function(){var t=new a.ARRAY_TYPE(4);return a.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},r.clone=function(t){var n=new a.ARRAY_TYPE(4);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n},r.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=u,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return t[0]=a,t[1]=r,t[2]=-r,t[3]=a,t},r.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t},r.str=function(t){return\"mat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},r.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3])},r.LDU=function(t,n,r,a){return t[2]=a[2]/a[0],r[0]=a[0],r[1]=a[1],r[3]=a[3]-t[2]*r[1],[t,n,r]},r.add=function(t,n,r){return t[0]=n[0]+r[0],t[1]=n[1]+r[1],t[2]=n[2]+r[2],t[3]=n[3]+r[3],t},r.subtract=e,r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=t[3],c=n[0],i=n[1],f=n[2],s=n[3];return Math.abs(r-c)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(c))&&Math.abs(u-i)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(i))&&Math.abs(e-f)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(f))&&Math.abs(o-s)<=a.EPSILON*Math.max(1,Math.abs(o),Math.abs(s))},r.multiplyScalar=function(t,n,r){return t[0]=n[0]*r,t[1]=n[1]*r,t[2]=n[2]*r,t[3]=n[3]*r,t},r.multiplyScalarAndAdd=function(t,n,r,a){return t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t[3]=n[3]+r[3]*a,t},r.mul=u,r.sub=e},\n",
       "      \"dc03f0a621\": function _(t,n,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,n,a){var r=n[0],u=n[1],e=n[2],o=n[3],c=n[4],i=n[5],s=a[0],f=a[1],h=a[2],M=a[3],b=a[4],l=a[5];return t[0]=r*s+e*f,t[1]=u*s+o*f,t[2]=r*h+e*M,t[3]=u*h+o*M,t[4]=r*b+e*l+c,t[5]=u*b+o*l+i,t}function e(t,n,a){return t[0]=n[0]-a[0],t[1]=n[1]-a[1],t[2]=n[2]-a[2],t[3]=n[3]-a[3],t[4]=n[4]-a[4],t[5]=n[5]-a[5],t}a.create=function(){var t=new r.ARRAY_TYPE(6);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[4]=0,t[5]=0),t[0]=1,t[3]=1,t},a.clone=function(t){var n=new r.ARRAY_TYPE(6);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n[4]=t[4],n[5]=t[5],n},a.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t},a.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t[4]=0,t[5]=0,t},a.fromValues=function(t,n,a,u,e,o){var c=new r.ARRAY_TYPE(6);return c[0]=t,c[1]=n,c[2]=a,c[3]=u,c[4]=e,c[5]=o,c},a.set=function(t,n,a,r,u,e,o){return t[0]=n,t[1]=a,t[2]=r,t[3]=u,t[4]=e,t[5]=o,t},a.invert=function(t,n){var a=n[0],r=n[1],u=n[2],e=n[3],o=n[4],c=n[5],i=a*e-r*u;return i?(i=1/i,t[0]=e*i,t[1]=-r*i,t[2]=-u*i,t[3]=a*i,t[4]=(u*c-e*o)*i,t[5]=(r*o-a*c)*i,t):null},a.determinant=function(t){return t[0]*t[3]-t[1]*t[2]},a.multiply=u,a.rotate=function(t,n,a){var r=n[0],u=n[1],e=n[2],o=n[3],c=n[4],i=n[5],s=Math.sin(a),f=Math.cos(a);return t[0]=r*f+e*s,t[1]=u*f+o*s,t[2]=r*-s+e*f,t[3]=u*-s+o*f,t[4]=c,t[5]=i,t},a.scale=function(t,n,a){var r=n[0],u=n[1],e=n[2],o=n[3],c=n[4],i=n[5],s=a[0],f=a[1];return t[0]=r*s,t[1]=u*s,t[2]=e*f,t[3]=o*f,t[4]=c,t[5]=i,t},a.translate=function(t,n,a){var r=n[0],u=n[1],e=n[2],o=n[3],c=n[4],i=n[5],s=a[0],f=a[1];return t[0]=r,t[1]=u,t[2]=e,t[3]=o,t[4]=r*s+e*f+c,t[5]=u*s+o*f+i,t},a.fromRotation=function(t,n){var a=Math.sin(n),r=Math.cos(n);return t[0]=r,t[1]=a,t[2]=-a,t[3]=r,t[4]=0,t[5]=0,t},a.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t[4]=0,t[5]=0,t},a.fromTranslation=function(t,n){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t[4]=n[0],t[5]=n[1],t},a.str=function(t){return\"mat2d(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\")\"},a.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],1)},a.add=function(t,n,a){return t[0]=n[0]+a[0],t[1]=n[1]+a[1],t[2]=n[2]+a[2],t[3]=n[3]+a[3],t[4]=n[4]+a[4],t[5]=n[5]+a[5],t},a.subtract=e,a.multiplyScalar=function(t,n,a){return t[0]=n[0]*a,t[1]=n[1]*a,t[2]=n[2]*a,t[3]=n[3]*a,t[4]=n[4]*a,t[5]=n[5]*a,t},a.multiplyScalarAndAdd=function(t,n,a,r){return t[0]=n[0]+a[0]*r,t[1]=n[1]+a[1]*r,t[2]=n[2]+a[2]*r,t[3]=n[3]+a[3]*r,t[4]=n[4]+a[4]*r,t[5]=n[5]+a[5]*r,t},a.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]&&t[4]===n[4]&&t[5]===n[5]},a.equals=function(t,n){var a=t[0],u=t[1],e=t[2],o=t[3],c=t[4],i=t[5],s=n[0],f=n[1],h=n[2],M=n[3],b=n[4],l=n[5];return Math.abs(a-s)<=r.EPSILON*Math.max(1,Math.abs(a),Math.abs(s))&&Math.abs(u-f)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(f))&&Math.abs(e-h)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(h))&&Math.abs(o-M)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(M))&&Math.abs(c-b)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(i-l)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(l))},a.mul=u,a.sub=e},\n",
       "      \"0285c50a7e\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1],l=n[2],m=n[3],v=n[4],E=n[5],P=n[6],S=n[7],d=n[8];return t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+d*s,t[7]=P*u+S*i+d*M,t[8]=P*o+S*c+d*h,t}function o(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new r.ARRAY_TYPE(9);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new r.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,u,o,e,i,c,s){var M=new r.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=u,M[4]=o,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=u,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n",
       "      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],e=a[3],s=o+o,i=u+u,c=M+M,f=o*s,b=o*i,l=o*c,v=u*i,m=u*c,P=M*c,E=e*s,S=e*i,I=e*c,O=r[0],p=r[1],L=r[2],N=h[0],R=h[1],x=h[2],y=(1-(v+P))*O,A=(b+I)*O,Y=(l-S)*O,d=(b-I)*p,g=(1-(f+P))*p,T=(m+E)*p,_=(l+S)*L,q=(m-E)*L,w=(1-(f+v))*L;return t[0]=y,t[1]=A,t[2]=Y,t[3]=0,t[4]=d,t[5]=g,t[6]=T,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+N-(y*N+d*R+_*x),t[13]=n[1]+R-(A*N+g*R+q*x),t[14]=n[2]+x-(Y*N+T*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,e=h+h,s=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*e,v=o*u,m=o*M,P=o*e;return t[0]=1-c-l,t[1]=i+P,t[2]=f-m,t[3]=0,t[4]=i-P,t[5]=1-s-l,t[6]=b+v,t[7]=0,t[8]=f+m,t[9]=b-v,t[10]=1-s-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),e=1/(h-r),s=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*e,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*e,t[10]=(u+o)*s,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*s,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8],t[9],t[10],t[11],t[12],t[13],t[14],t[15])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t[9]=a[9]+n[9],t[10]=a[10]+n[10],t[11]=a[11]+n[11],t[12]=a[12]+n[12],t[13]=a[13]+n[13],t[14]=a[14]+n[14],t[15]=a[15]+n[15],t},n.subtract=e,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t[9]=a[9]*n,t[10]=a[10]*n,t[11]=a[11]*n,t[12]=a[12]*n,t[13]=a[13]*n,t[14]=a[14]*n,t[15]=a[15]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t[9]=a[9]+n[9]*r,t[10]=a[10]+n[10]*r,t[11]=a[11]+n[11]*r,t[12]=a[12]+n[12]*r,t[13]=a[13]+n[13]*r,t[14]=a[14]+n[14]*r,t[15]=a[15]+n[15]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]&&t[9]===a[9]&&t[10]===a[10]&&t[11]===a[11]&&t[12]===a[12]&&t[13]===a[13]&&t[14]===a[14]&&t[15]===a[15]},n.equals=function(t,a){var n=t[0],h=t[1],o=t[2],u=t[3],M=t[4],e=t[5],s=t[6],i=t[7],c=t[8],f=t[9],b=t[10],l=t[11],v=t[12],m=t[13],P=t[14],E=t[15],S=a[0],I=a[1],O=a[2],p=a[3],L=a[4],N=a[5],R=a[6],x=a[7],y=a[8],A=a[9],Y=a[10],d=a[11],g=a[12],T=a[13],_=a[14],q=a[15];return 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       "      \"eb06fc032a\": function _(t,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});const n=t(\"tslib\"),e=n.__importStar(t(\"68ca94c15c\")),o=n.__importStar(t(\"0285c50a7e\")),s=n.__importStar(t(\"2c5eb22089\")),u=n.__importStar(t(\"c1aa33d719\"));function c(){var t=new e.ARRAY_TYPE(4);return e.ARRAY_TYPE!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0),t[3]=1,t}function i(t,r,a){a*=.5;var n=Math.sin(a);return t[0]=n*r[0],t[1]=n*r[1],t[2]=n*r[2],t[3]=Math.cos(a),t}function h(t,r,a){var n=r[0],e=r[1],o=r[2],s=r[3],u=a[0],c=a[1],i=a[2],h=a[3];return t[0]=n*h+s*u+e*i-o*c,t[1]=e*h+s*c+o*u-n*i,t[2]=o*h+s*i+n*c-e*u,t[3]=s*h-n*u-e*c-o*i,t}function M(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=Math.sqrt(a*a+n*n+e*e),u=Math.exp(o),c=s>0?u*Math.sin(s)/s:0;return t[0]=a*c,t[1]=n*c,t[2]=e*c,t[3]=u*Math.cos(s),t}function l(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=Math.sqrt(a*a+n*n+e*e),u=s>0?Math.atan2(s,o)/s:0;return t[0]=a*u,t[1]=n*u,t[2]=e*u,t[3]=.5*Math.log(a*a+n*n+e*e+o*o),t}function f(t,r,a,n){var o,s,u,c,i,h=r[0],M=r[1],l=r[2],f=r[3],v=a[0],m=a[1],q=a[2],d=a[3];return(s=h*v+M*m+l*q+f*d)<0&&(s=-s,v=-v,m=-m,q=-q,d=-d),1-s>e.EPSILON?(o=Math.acos(s),u=Math.sin(o),c=Math.sin((1-n)*o)/u,i=Math.sin(n*o)/u):(c=1-n,i=n),t[0]=c*h+i*v,t[1]=c*M+i*m,t[2]=c*l+i*q,t[3]=c*f+i*d,t}function v(t,r){var a,n=r[0]+r[4]+r[8];if(n>0)a=Math.sqrt(n+1),t[3]=.5*a,a=.5/a,t[0]=(r[5]-r[7])*a,t[1]=(r[6]-r[2])*a,t[2]=(r[1]-r[3])*a;else{var e=0;r[4]>r[0]&&(e=1),r[8]>r[3*e+e]&&(e=2);var o=(e+1)%3,s=(e+2)%3;a=Math.sqrt(r[3*e+e]-r[3*o+o]-r[3*s+s]+1),t[e]=.5*a,a=.5/a,t[3]=(r[3*o+s]-r[3*s+o])*a,t[o]=(r[3*o+e]+r[3*e+o])*a,t[s]=(r[3*s+e]+r[3*e+s])*a}return t}var m,q,d,p,A,g;a.create=c,a.identity=function(t){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t},a.setAxisAngle=i,a.getAxisAngle=function(t,r){var a=2*Math.acos(r[3]),n=Math.sin(a/2);return n>e.EPSILON?(t[0]=r[0]/n,t[1]=r[1]/n,t[2]=r[2]/n):(t[0]=1,t[1]=0,t[2]=0),a},a.getAngle=function(t,r){var n=a.dot(t,r);return Math.acos(2*n*n-1)},a.multiply=h,a.rotateX=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c+s*u,t[1]=e*c+o*u,t[2]=o*c-e*u,t[3]=s*c-n*u,t},a.rotateY=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c-o*u,t[1]=e*c+s*u,t[2]=o*c+n*u,t[3]=s*c-e*u,t},a.rotateZ=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c+e*u,t[1]=e*c-n*u,t[2]=o*c+s*u,t[3]=s*c-o*u,t},a.calculateW=function(t,r){var a=r[0],n=r[1],e=r[2];return t[0]=a,t[1]=n,t[2]=e,t[3]=Math.sqrt(Math.abs(1-a*a-n*n-e*e)),t},a.exp=M,a.ln=l,a.pow=function(t,r,n){return l(t,r),a.scale(t,t,n),M(t,t),t},a.slerp=f,a.random=function(t){var r=e.RANDOM(),a=e.RANDOM(),n=e.RANDOM(),o=Math.sqrt(1-r),s=Math.sqrt(r);return t[0]=o*Math.sin(2*Math.PI*a),t[1]=o*Math.cos(2*Math.PI*a),t[2]=s*Math.sin(2*Math.PI*n),t[3]=s*Math.cos(2*Math.PI*n),t},a.invert=function(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=a*a+n*n+e*e+o*o,u=s?1/s:0;return t[0]=-a*u,t[1]=-n*u,t[2]=-e*u,t[3]=o*u,t},a.conjugate=function(t,r){return t[0]=-r[0],t[1]=-r[1],t[2]=-r[2],t[3]=r[3],t},a.fromMat3=v,a.fromEuler=function(t,r,a,n){var e=.5*Math.PI/180;r*=e,a*=e,n*=e;var o=Math.sin(r),s=Math.cos(r),u=Math.sin(a),c=Math.cos(a),i=Math.sin(n),h=Math.cos(n);return t[0]=o*c*h-s*u*i,t[1]=s*u*h+o*c*i,t[2]=s*c*i-o*u*h,t[3]=s*c*h+o*u*i,t},a.str=function(t){return\"quat(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},a.clone=u.clone,a.fromValues=u.fromValues,a.copy=u.copy,a.set=u.set,a.add=u.add,a.mul=h,a.scale=u.scale,a.dot=u.dot,a.lerp=u.lerp,a.length=u.length,a.len=a.length,a.squaredLength=u.squaredLength,a.sqrLen=a.squaredLength,a.normalize=u.normalize,a.exactEquals=u.exactEquals,a.equals=u.equals,a.rotationTo=(m=s.create(),q=s.fromValues(1,0,0),d=s.fromValues(0,1,0),function(t,r,n){var e=s.dot(r,n);return e<-.999999?(s.cross(m,q,r),s.len(m)<1e-6&&s.cross(m,d,r),s.normalize(m,m),i(t,m,Math.PI),t):e>.999999?(t[0]=0,t[1]=0,t[2]=0,t[3]=1,t):(s.cross(m,r,n),t[0]=m[0],t[1]=m[1],t[2]=m[2],t[3]=1+e,a.normalize(t,t))}),a.sqlerp=(p=c(),A=c(),function(t,r,a,n,e,o){return f(p,r,e,o),f(A,a,n,o),f(t,p,A,2*o*(1-o)),t}),a.setAxes=(g=o.create(),function(t,r,n,e){return g[0]=n[0],g[3]=n[1],g[6]=n[2],g[1]=e[0],g[4]=e[1],g[7]=e[2],g[2]=-r[0],g[5]=-r[1],g[8]=-r[2],a.normalize(t,v(t,g))})},\n",
       "      \"2c5eb22089\": function _(t,n,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(){var t=new a.ARRAY_TYPE(3);return a.ARRAY_TYPE!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0),t}function e(t){var n=t[0],r=t[1],a=t[2];return Math.hypot(n,r,a)}function o(t,n,r){return t[0]=n[0]-r[0],t[1]=n[1]-r[1],t[2]=n[2]-r[2],t}function i(t,n,r){return t[0]=n[0]*r[0],t[1]=n[1]*r[1],t[2]=n[2]*r[2],t}function c(t,n,r){return t[0]=n[0]/r[0],t[1]=n[1]/r[1],t[2]=n[2]/r[2],t}function h(t,n){var r=n[0]-t[0],a=n[1]-t[1],u=n[2]-t[2];return Math.hypot(r,a,u)}function M(t,n){var r=n[0]-t[0],a=n[1]-t[1],u=n[2]-t[2];return r*r+a*a+u*u}function s(t){var n=t[0],r=t[1],a=t[2];return n*n+r*r+a*a}function f(t,n){return t[0]*n[0]+t[1]*n[1]+t[2]*n[2]}var l;r.create=u,r.clone=function(t){var n=new a.ARRAY_TYPE(3);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n},r.length=e,r.fromValues=function(t,n,r){var u=new a.ARRAY_TYPE(3);return u[0]=t,u[1]=n,u[2]=r,u},r.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t},r.set=function(t,n,r,a){return t[0]=n,t[1]=r,t[2]=a,t},r.add=function(t,n,r){return t[0]=n[0]+r[0],t[1]=n[1]+r[1],t[2]=n[2]+r[2],t},r.subtract=o,r.multiply=i,r.divide=c,r.ceil=function(t,n){return t[0]=Math.ceil(n[0]),t[1]=Math.ceil(n[1]),t[2]=Math.ceil(n[2]),t},r.floor=function(t,n){return t[0]=Math.floor(n[0]),t[1]=Math.floor(n[1]),t[2]=Math.floor(n[2]),t},r.min=function(t,n,r){return t[0]=Math.min(n[0],r[0]),t[1]=Math.min(n[1],r[1]),t[2]=Math.min(n[2],r[2]),t},r.max=function(t,n,r){return t[0]=Math.max(n[0],r[0]),t[1]=Math.max(n[1],r[1]),t[2]=Math.max(n[2],r[2]),t},r.round=function(t,n){return t[0]=Math.round(n[0]),t[1]=Math.round(n[1]),t[2]=Math.round(n[2]),t},r.scale=function(t,n,r){return t[0]=n[0]*r,t[1]=n[1]*r,t[2]=n[2]*r,t},r.scaleAndAdd=function(t,n,r,a){return t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t},r.distance=h,r.squaredDistance=M,r.squaredLength=s,r.negate=function(t,n){return t[0]=-n[0],t[1]=-n[1],t[2]=-n[2],t},r.inverse=function(t,n){return t[0]=1/n[0],t[1]=1/n[1],t[2]=1/n[2],t},r.normalize=function(t,n){var r=n[0],a=n[1],u=n[2],e=r*r+a*a+u*u;return e>0&&(e=1/Math.sqrt(e)),t[0]=n[0]*e,t[1]=n[1]*e,t[2]=n[2]*e,t},r.dot=f,r.cross=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=r[0],i=r[1],c=r[2];return t[0]=u*c-e*i,t[1]=e*o-a*c,t[2]=a*i-u*o,t},r.lerp=function(t,n,r,a){var u=n[0],e=n[1],o=n[2];return t[0]=u+a*(r[0]-u),t[1]=e+a*(r[1]-e),t[2]=o+a*(r[2]-o),t},r.hermite=function(t,n,r,a,u,e){var o=e*e,i=o*(2*e-3)+1,c=o*(e-2)+e,h=o*(e-1),M=o*(3-2*e);return t[0]=n[0]*i+r[0]*c+a[0]*h+u[0]*M,t[1]=n[1]*i+r[1]*c+a[1]*h+u[1]*M,t[2]=n[2]*i+r[2]*c+a[2]*h+u[2]*M,t},r.bezier=function(t,n,r,a,u,e){var o=1-e,i=o*o,c=e*e,h=i*o,M=3*e*i,s=3*c*o,f=c*e;return t[0]=n[0]*h+r[0]*M+a[0]*s+u[0]*f,t[1]=n[1]*h+r[1]*M+a[1]*s+u[1]*f,t[2]=n[2]*h+r[2]*M+a[2]*s+u[2]*f,t},r.random=function(t,n){n=n||1;var r=2*a.RANDOM()*Math.PI,u=2*a.RANDOM()-1,e=Math.sqrt(1-u*u)*n;return t[0]=Math.cos(r)*e,t[1]=Math.sin(r)*e,t[2]=u*n,t},r.transformMat4=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=r[3]*a+r[7]*u+r[11]*e+r[15];return o=o||1,t[0]=(r[0]*a+r[4]*u+r[8]*e+r[12])/o,t[1]=(r[1]*a+r[5]*u+r[9]*e+r[13])/o,t[2]=(r[2]*a+r[6]*u+r[10]*e+r[14])/o,t},r.transformMat3=function(t,n,r){var a=n[0],u=n[1],e=n[2];return t[0]=a*r[0]+u*r[3]+e*r[6],t[1]=a*r[1]+u*r[4]+e*r[7],t[2]=a*r[2]+u*r[5]+e*r[8],t},r.transformQuat=function(t,n,r){var a=r[0],u=r[1],e=r[2],o=r[3],i=n[0],c=n[1],h=n[2],M=u*h-e*c,s=e*i-a*h,f=a*c-u*i,l=u*f-e*s,v=e*M-a*f,m=a*s-u*M,d=2*o;return M*=d,s*=d,f*=d,l*=2,v*=2,m*=2,t[0]=i+M+l,t[1]=c+s+v,t[2]=h+f+m,t},r.rotateX=function(t,n,r,a){var u=[],e=[];return u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[0],e[1]=u[1]*Math.cos(a)-u[2]*Math.sin(a),e[2]=u[1]*Math.sin(a)+u[2]*Math.cos(a),t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.rotateY=function(t,n,r,a){var u=[],e=[];return u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[2]*Math.sin(a)+u[0]*Math.cos(a),e[1]=u[1],e[2]=u[2]*Math.cos(a)-u[0]*Math.sin(a),t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.rotateZ=function(t,n,r,a){var u=[],e=[];return u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[0]*Math.cos(a)-u[1]*Math.sin(a),e[1]=u[0]*Math.sin(a)+u[1]*Math.cos(a),e[2]=u[2],t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.angle=function(t,n){var r=t[0],a=t[1],u=t[2],e=n[0],o=n[1],i=n[2],c=Math.sqrt(r*r+a*a+u*u)*Math.sqrt(e*e+o*o+i*i),h=c&&f(t,n)/c;return Math.acos(Math.min(Math.max(h,-1),1))},r.zero=function(t){return t[0]=0,t[1]=0,t[2]=0,t},r.str=function(t){return\"vec3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\")\"},r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=n[0],i=n[1],c=n[2];return Math.abs(r-o)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(o))&&Math.abs(u-i)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(i))&&Math.abs(e-c)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(c))},r.sub=o,r.mul=i,r.div=c,r.dist=h,r.sqrDist=M,r.len=e,r.sqrLen=s,r.forEach=(l=u(),function(t,n,r,a,u,e){var o,i;for(n||(n=3),r||(r=0),i=a?Math.min(a*n+r,t.length):t.length,o=r;o<i;o+=n)l[0]=t[o],l[1]=t[o+1],l[2]=t[o+2],u(l,l,e),t[o]=l[0],t[o+1]=l[1],t[o+2]=l[2];return t})},\n",
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       "      \"277615c682\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\"),e=r.__importStar(t(\"68ca94c15c\")),u=r.__importStar(t(\"eb06fc032a\")),o=r.__importStar(t(\"a427635f32\"));function i(t,a,n){var r=.5*n[0],e=.5*n[1],u=.5*n[2],o=a[0],i=a[1],s=a[2],c=a[3];return t[0]=o,t[1]=i,t[2]=s,t[3]=c,t[4]=r*c+e*s-u*i,t[5]=e*c+u*o-r*s,t[6]=u*c+r*i-e*o,t[7]=-r*o-e*i-u*s,t}function s(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t}function c(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[4],s=n[5],c=n[6],h=n[7],f=a[4],M=a[5],l=a[6],b=a[7],v=n[0],m=n[1],R=n[2],P=n[3];return t[0]=r*P+o*v+e*R-u*m,t[1]=e*P+o*m+u*v-r*R,t[2]=u*P+o*R+r*m-e*v,t[3]=o*P-r*v-e*m-u*R,t[4]=r*h+o*i+e*c-u*s+f*P+b*v+M*R-l*m,t[5]=e*h+o*s+u*i-r*c+M*P+b*m+l*v-f*R,t[6]=u*h+o*c+r*s-e*i+l*P+b*R+f*m-M*v,t[7]=o*h-r*i-e*s-u*c+b*P-f*v-M*m-l*R,t}n.create=function(){var t=new e.ARRAY_TYPE(8);return e.ARRAY_TYPE!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0,t[4]=0,t[5]=0,t[6]=0,t[7]=0),t[3]=1,t},n.clone=function(t){var a=new e.ARRAY_TYPE(8);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a},n.fromValues=function(t,a,n,r,u,o,i,s){var c=new e.ARRAY_TYPE(8);return c[0]=t,c[1]=a,c[2]=n,c[3]=r,c[4]=u,c[5]=o,c[6]=i,c[7]=s,c},n.fromRotationTranslationValues=function(t,a,n,r,u,o,i){var s=new e.ARRAY_TYPE(8);s[0]=t,s[1]=a,s[2]=n,s[3]=r;var c=.5*u,h=.5*o,f=.5*i;return s[4]=c*r+h*n-f*a,s[5]=h*r+f*t-c*n,s[6]=f*r+c*a-h*t,s[7]=-c*t-h*a-f*n,s},n.fromRotationTranslation=i,n.fromTranslation=function(t,a){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t[4]=.5*a[0],t[5]=.5*a[1],t[6]=.5*a[2],t[7]=0,t},n.fromRotation=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=0,t[5]=0,t[6]=0,t[7]=0,t},n.fromMat4=function(t,a){var n=u.create();o.getRotation(n,a);var r=new e.ARRAY_TYPE(3);return o.getTranslation(r,a),i(t,n,r),t},n.copy=s,n.identity=function(t){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t[4]=0,t[5]=0,t[6]=0,t[7]=0,t},n.set=function(t,a,n,r,e,u,o,i,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=e,t[4]=u,t[5]=o,t[6]=i,t[7]=s,t},n.getReal=u.copy,n.getDual=function(t,a){return t[0]=a[4],t[1]=a[5],t[2]=a[6],t[3]=a[7],t},n.setReal=u.copy,n.setDual=function(t,a){return t[4]=a[0],t[5]=a[1],t[6]=a[2],t[7]=a[3],t},n.getTranslation=function(t,a){var n=a[4],r=a[5],e=a[6],u=a[7],o=-a[0],i=-a[1],s=-a[2],c=a[3];return t[0]=2*(n*c+u*o+r*s-e*i),t[1]=2*(r*c+u*i+e*o-n*s),t[2]=2*(e*c+u*s+n*i-r*o),t},n.translate=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=.5*n[0],s=.5*n[1],c=.5*n[2],h=a[4],f=a[5],M=a[6],l=a[7];return t[0]=r,t[1]=e,t[2]=u,t[3]=o,t[4]=o*i+e*c-u*s+h,t[5]=o*s+u*i-r*c+f,t[6]=o*c+r*s-e*i+M,t[7]=-r*i-e*s-u*c+l,t},n.rotateX=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateX(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateY=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateY(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateZ=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateZ(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateByQuatAppend=function(t,a,n){var r=n[0],e=n[1],u=n[2],o=n[3],i=a[0],s=a[1],c=a[2],h=a[3];return t[0]=i*o+h*r+s*u-c*e,t[1]=s*o+h*e+c*r-i*u,t[2]=c*o+h*u+i*e-s*r,t[3]=h*o-i*r-s*e-c*u,i=a[4],s=a[5],c=a[6],h=a[7],t[4]=i*o+h*r+s*u-c*e,t[5]=s*o+h*e+c*r-i*u,t[6]=c*o+h*u+i*e-s*r,t[7]=h*o-i*r-s*e-c*u,t},n.rotateByQuatPrepend=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[0],s=n[1],c=n[2],h=n[3];return t[0]=r*h+o*i+e*c-u*s,t[1]=e*h+o*s+u*i-r*c,t[2]=u*h+o*c+r*s-e*i,t[3]=o*h-r*i-e*s-u*c,i=n[4],s=n[5],c=n[6],h=n[7],t[4]=r*h+o*i+e*c-u*s,t[5]=e*h+o*s+u*i-r*c,t[6]=u*h+o*c+r*s-e*i,t[7]=o*h-r*i-e*s-u*c,t},n.rotateAroundAxis=function(t,a,n,r){if(Math.abs(r)<e.EPSILON)return s(t,a);var u=Math.hypot(n[0],n[1],n[2]);r*=.5;var o=Math.sin(r),i=o*n[0]/u,c=o*n[1]/u,h=o*n[2]/u,f=Math.cos(r),M=a[0],l=a[1],b=a[2],v=a[3];t[0]=M*f+v*i+l*h-b*c,t[1]=l*f+v*c+b*i-M*h,t[2]=b*f+v*h+M*c-l*i,t[3]=v*f-M*i-l*c-b*h;var m=a[4],R=a[5],P=a[6],d=a[7];return t[4]=m*f+d*i+R*h-P*c,t[5]=R*f+d*c+P*i-m*h,t[6]=P*f+d*h+m*c-R*i,t[7]=d*f-m*i-R*c-P*h,t},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t},n.multiply=c,n.mul=c,n.scale=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t},n.dot=u.dot,n.lerp=function(t,a,r,e){var u=1-e;return n.dot(a,r)<0&&(e=-e),t[0]=a[0]*u+r[0]*e,t[1]=a[1]*u+r[1]*e,t[2]=a[2]*u+r[2]*e,t[3]=a[3]*u+r[3]*e,t[4]=a[4]*u+r[4]*e,t[5]=a[5]*u+r[5]*e,t[6]=a[6]*u+r[6]*e,t[7]=a[7]*u+r[7]*e,t},n.invert=function(t,a){var r=n.squaredLength(a);return t[0]=-a[0]/r,t[1]=-a[1]/r,t[2]=-a[2]/r,t[3]=a[3]/r,t[4]=-a[4]/r,t[5]=-a[5]/r,t[6]=-a[6]/r,t[7]=a[7]/r,t},n.conjugate=function(t,a){return t[0]=-a[0],t[1]=-a[1],t[2]=-a[2],t[3]=a[3],t[4]=-a[4],t[5]=-a[5],t[6]=-a[6],t[7]=a[7],t},n.length=u.length,n.len=n.length,n.squaredLength=u.squaredLength,n.sqrLen=n.squaredLength,n.normalize=function(t,a){var r=n.squaredLength(a);if(r>0){r=Math.sqrt(r);var e=a[0]/r,u=a[1]/r,o=a[2]/r,i=a[3]/r,s=a[4],c=a[5],h=a[6],f=a[7],M=e*s+u*c+o*h+i*f;t[0]=e,t[1]=u,t[2]=o,t[3]=i,t[4]=(s-e*M)/r,t[5]=(c-u*M)/r,t[6]=(h-o*M)/r,t[7]=(f-i*M)/r}return t},n.str=function(t){return\"quat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\")\"},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],o=t[3],i=t[4],s=t[5],c=t[6],h=t[7],f=a[0],M=a[1],l=a[2],b=a[3],v=a[4],m=a[5],R=a[6],P=a[7];return 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       "      \"c56d9ff837\": function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=n(\"tslib\").__importStar(n(\"68ca94c15c\"));function u(){var n=new a.ARRAY_TYPE(2);return a.ARRAY_TYPE!=Float32Array&&(n[0]=0,n[1]=0),n}function e(n,t,r){return n[0]=t[0]-r[0],n[1]=t[1]-r[1],n}function o(n,t,r){return n[0]=t[0]*r[0],n[1]=t[1]*r[1],n}function c(n,t,r){return n[0]=t[0]/r[0],n[1]=t[1]/r[1],n}function i(n,t){var r=t[0]-n[0],a=t[1]-n[1];return Math.hypot(r,a)}function f(n,t){var r=t[0]-n[0],a=t[1]-n[1];return r*r+a*a}function s(n){var t=n[0],r=n[1];return Math.hypot(t,r)}function h(n){var t=n[0],r=n[1];return t*t+r*r}var M;r.create=u,r.clone=function(n){var t=new a.ARRAY_TYPE(2);return t[0]=n[0],t[1]=n[1],t},r.fromValues=function(n,t){var r=new a.ARRAY_TYPE(2);return r[0]=n,r[1]=t,r},r.copy=function(n,t){return n[0]=t[0],n[1]=t[1],n},r.set=function(n,t,r){return n[0]=t,n[1]=r,n},r.add=function(n,t,r){return n[0]=t[0]+r[0],n[1]=t[1]+r[1],n},r.subtract=e,r.multiply=o,r.divide=c,r.ceil=function(n,t){return n[0]=Math.ceil(t[0]),n[1]=Math.ceil(t[1]),n},r.floor=function(n,t){return n[0]=Math.floor(t[0]),n[1]=Math.floor(t[1]),n},r.min=function(n,t,r){return n[0]=Math.min(t[0],r[0]),n[1]=Math.min(t[1],r[1]),n},r.max=function(n,t,r){return n[0]=Math.max(t[0],r[0]),n[1]=Math.max(t[1],r[1]),n},r.round=function(n,t){return n[0]=Math.round(t[0]),n[1]=Math.round(t[1]),n},r.scale=function(n,t,r){return n[0]=t[0]*r,n[1]=t[1]*r,n},r.scaleAndAdd=function(n,t,r,a){return n[0]=t[0]+r[0]*a,n[1]=t[1]+r[1]*a,n},r.distance=i,r.squaredDistance=f,r.length=s,r.squaredLength=h,r.negate=function(n,t){return n[0]=-t[0],n[1]=-t[1],n},r.inverse=function(n,t){return n[0]=1/t[0],n[1]=1/t[1],n},r.normalize=function(n,t){var r=t[0],a=t[1],u=r*r+a*a;return u>0&&(u=1/Math.sqrt(u)),n[0]=t[0]*u,n[1]=t[1]*u,n},r.dot=function(n,t){return n[0]*t[0]+n[1]*t[1]},r.cross=function(n,t,r){var a=t[0]*r[1]-t[1]*r[0];return n[0]=n[1]=0,n[2]=a,n},r.lerp=function(n,t,r,a){var u=t[0],e=t[1];return n[0]=u+a*(r[0]-u),n[1]=e+a*(r[1]-e),n},r.random=function(n,t){t=t||1;var r=2*a.RANDOM()*Math.PI;return n[0]=Math.cos(r)*t,n[1]=Math.sin(r)*t,n},r.transformMat2=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u,n[1]=r[1]*a+r[3]*u,n},r.transformMat2d=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u+r[4],n[1]=r[1]*a+r[3]*u+r[5],n},r.transformMat3=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[3]*u+r[6],n[1]=r[1]*a+r[4]*u+r[7],n},r.transformMat4=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],u=n[1],e=t[0],o=t[1];return Math.abs(r-e)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(e))&&Math.abs(u-o)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(o))},r.len=s,r.sub=e,r.mul=o,r.div=c,r.dist=i,r.sqrDist=f,r.sqrLen=h,r.forEach=(M=u(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)M[0]=n[o],M[1]=n[o+1],u(M,M,e),n[o]=M[0],n[o+1]=M[1];return n})},\n",
       "      }, \"4e90918c0a\", {\"index\":\"4e90918c0a\",\"models/index\":\"22ae8fda70\",\"models/ace\":\"3343056bd8\",\"models/layout\":\"7116a7a602\",\"models/audio\":\"66d52165db\",\"models/comm_manager\":\"71a9759436\",\"models/deckgl\":\"d0d2aafca0\",\"models/tooltips\":\"064eac2866\",\"models/html\":\"ed08037ce5\",\"models/json\":\"284504a0cf\",\"models/file_download\":\"61c9ac7aac\",\"models/katex\":\"7b859fb3cf\",\"models/mathjax\":\"0c21036737\",\"models/player\":\"79c41bbf71\",\"models/plotly\":\"56da045fbd\",\"models/util\":\"990b5dd5c7\",\"models/progress\":\"76307e5afa\",\"models/state\":\"38b2bc9574\",\"models/vega\":\"294adeb985\",\"models/video\":\"b0c3e9e9c2\",\"models/videostream\":\"3c7145a2fa\",\"models/vtk/index\":\"ecfbb965eb\",\"models/vtk/vtk\":\"5b5e56e89a\",\"models/vtk/vtk_layout\":\"c704c63c0a\",\"models/vtk/vtk_utils\":\"aaf560d219\",\"models/vtk/vtkvolume\":\"729dd26c71\",\"models/vtk/vtkaxes\":\"e23461e5d7\"}, {});\n",
       "      })\n",
       "\n",
       "\n",
       "      /* END panel.min.js */\n",
       "    },\n",
       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    if (window.requirejs) {\n      require([], function() {\n        run_callbacks();\n      })\n    } else {\n      var skip = [];\n      for (var i = 0; i < js_urls.length; i++) {\n        var url = js_urls[i];\n        if (skip.indexOf(url) >= 0) { on_load(); continue; }\n        var element = document.createElement('script');\n        element.onload = on_load;\n        element.onerror = on_error;\n        element.async = false;\n        element.src = url;\n        console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n        document.head.appendChild(element);\n      }\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [];\n  var css_urls = [];\n\n  var inline_js = [\n    function(Bokeh) {\n      inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n    },\n    function(Bokeh) {\n      /* BEGIN bokeh.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        const bokeh = factory();\n        if (root.Bokeh === undefined) {\n          root.Bokeh = bokeh;\n        }\n        const Bokeh = root.Bokeh;\n        Bokeh[bokeh.version] = bokeh;\n      })(this, function() {\n        var define;\n        var parent_require = typeof require === \"function\" && require\n        return (function(modules, entry, aliases, externals) {\n          if (aliases === undefined) aliases = {};\n          if (externals === undefined) externals = {};\n\n          var cache = {};\n\n          var normalize = function(name) {\n            if (typeof name === \"number\")\n              return name;\n\n            if (name === \"bokehjs\")\n              return entry;\n\n            var prefix = \"@bokehjs/\"\n            if (name.slice(0, prefix.length) === prefix)\n              name = name.slice(prefix.length)\n\n            var alias = aliases[name]\n            if (alias != null)\n              return alias;\n\n            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n            if (index != null)\n              return index;\n\n            return name;\n          }\n\n          var require = function(name) {\n            var mod = cache[name];\n            if (!mod) {\n              var id = normalize(name);\n\n              mod = cache[id];\n              if (!mod) {\n                if (!modules[id]) {\n                  if (externals[id] === false || (externals[id] == true && parent_require)) {\n                    try {\n                      mod = {exports: externals[id] ? parent_require(id) : {}};\n                      cache[id] = cache[name] = mod;\n                      return mod.exports;\n                    } catch (e) {}\n                  }\n\n                  var err = new Error(\"Cannot find module '\" + name + \"'\");\n                  err.code = 'MODULE_NOT_FOUND';\n                  throw err;\n                }\n\n                mod = {exports: {}};\n                cache[id] = cache[name] = mod;\n                modules[id].call(mod.exports, require, mod, mod.exports);\n              } else\n                cache[name] = mod;\n            }\n\n            return mod.exports;\n          }\n\n          var main = require(entry);\n          main.require = require;\n\n          if (typeof Proxy !== \"undefined\") {\n            // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n            main.loader = new Proxy({}, {\n              get: function(_obj, module) {\n                return require(module);\n              }\n            });\n          }\n\n          main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n            if (plugin_aliases === undefined) plugin_aliases = {};\n            if (plugin_externals === undefined) plugin_externals = {};\n\n            for (var name in plugin_modules) {\n              modules[name] = plugin_modules[name];\n            }\n\n            for (var name in plugin_aliases) {\n              aliases[name] = plugin_aliases[name];\n            }\n\n            for (var name in plugin_externals) {\n              externals[name] = plugin_externals[name];\n            }\n\n            var plugin = require(plugin_entry);\n\n            for (var name in plugin) {\n              main[name] = plugin[name];\n            }\n\n            return plugin;\n          }\n\n          return main;\n        })\n      ([\n      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n      function _(t,e,n){\n      /*! *****************************************************************************\n          Copyright (c) Microsoft Corporation. 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models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new 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e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){n._invalidate_all_models();break}!0!==t.silent&&this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){for(const e in this.properties)yield this.properties[e]}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _value_to_json(e){if(e instanceof y)return e.ref();if(p.is_NDArray(e))return d.encode_NDArray(e);if(h.isArray(e)||h.isTypedArray(e)){const t=e.length,s=new Array(t);for(let r=0;r<t;r++){const t=e[r];s[r]=y._value_to_json(t)}return s}if(h.isPlainObject(e)){const t={};for(const s in e)e.hasOwnProperty(s)&&(t[s]=y._value_to_json(e[s]));return t}return e}attributes_as_json(e=!0,t=y._value_to_json){const s={};for(const r of this)r.syncable&&(e||r.dirty)&&(s[r.attr]=t(r.get_value()));return s}static _json_record_references(e,t,s,r){const{recursive:n}=r;if(i.is_ref(t)){const r=e.get_model_by_id(t.id);null==r||s.has(r)||y._value_record_references(r,s,{recursive:n})}else if(h.isArray(t))for(const r of t)y._json_record_references(e,r,s,{recursive:n});else if(h.isPlainObject(t))for(const r in t)if(t.hasOwnProperty(r)){const i=t[r];y._json_record_references(e,i,s,{recursive:n})}}static _value_record_references(e,t,s){const{recursive:r}=s;if(e instanceof y){if(!t.has(e)&&(t.add(e),r)){const s=e._immediate_references();for(const e of s)y._value_record_references(e,t,{recursive:!0})}}else if(h.isArray(e))for(const s of e)y._value_record_references(s,t,{recursive:r});else if(h.isPlainObject(e))for(const s in e)if(e.hasOwnProperty(s)){const n=e[s];y._value_record_references(n,t,{recursive:r})}}_immediate_references(){const e=new Set;for(const t of this.syncable_properties()){const s=t.get_value();y._value_record_references(s,e,{recursive:!1})}return[...e.values()]}references(){const e=new Set;return y._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;y._value_record_references(t,s,{recursive:!1});const r=new Set;y._value_record_references(e,r,{recursive:!1});for(const e of s)if(!r.has(e))return!0;for(const e of r)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){const{document:s}=this;if(null==s)return;const{setter_id:r}=t,n=[];for(const[t,i,o]of e)t.syncable&&n.push(new l.ModelChangedEvent(s,this,t.attr,i,o,r));if(0!=n.length){let e;1==n.length?[e]=n:e=new l.DocumentEventBatch(s,n,r),s._trigger_on_change(e)}}materialize_dataspecs(e){const t={};for(const s of this){if(!(s instanceof o.VectorSpec))continue;if(s.optional&&null==s.spec.value&&!s.dirty)continue;const r=s.attr,n=s.array(e);t[\"_\"+r]=n,s instanceof o.DistanceSpec&&(t[\"max_\"+r]=_.max(n))}return t}on_change(e,t){for(const s of h.isArray(e)?e:[e])this.connect(s.change,t)}}s.HasProps=y,y.init_HasProps()},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=n(15),l=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){c.has(this.sender)||c.set(this.sender,[]);const e=c.get(this.sender);if(null!=u(e,this,n,t))return!1;const s=t||n;r.has(s)||r.set(s,[]);const l=r.get(s),o={signal:this,slot:n,context:t};return e.push(o),l.push(o),!0}disconnect(n,t=null){const e=c.get(this.sender);if(null==e||0===e.length)return!1;const s=u(e,this,n,t);if(null==s)return!1;const l=t||n,o=r.get(l);return s.signal=null,f(e),f(o),!0}emit(n){const 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_.isString(e)&&o.is_color(e)}}n.Color=v,v.__name__=\"Color\";class g extends p{}n.Instance=g,g.__name__=\"Instance\";class x extends p{valid(e){return _.isNumber(e)}}n.Number=x,x.__name__=\"Number\";class y extends x{valid(e){return _.isNumber(e)&&(0|e)==e}}n.Int=y,y.__name__=\"Int\";class f extends x{}n.Angle=f,f.__name__=\"Angle\";class P extends x{valid(e){return _.isNumber(e)&&0<=e&&e<=1}}n.Percent=P,P.__name__=\"Percent\";class A extends p{valid(e){return _.isString(e)}}n.String=A,A.__name__=\"String\";class L extends p{valid(e){return null===e||_.isString(e)}}n.NullString=L,L.__name__=\"NullString\";class T extends A{}n.FontSize=T,T.__name__=\"FontSize\";class b extends A{_default_override(){return c.settings.dev?\"Bokeh\":void 0}}n.Font=b,b.__name__=\"Font\";class M extends p{valid(e){return _.isString(e)&&r.includes(this.enum_values,e)}}function B(e){return class extends M{get enum_values(){return e}}}n.EnumProperty=M,M.__name__=\"EnumProperty\",n.Enum=B;class C extends M{get enum_values(){return s.Direction}normalize(e){const t=new Uint8Array(e.length);for(let n=0;n<e.length;n++)switch(e[n]){case\"clock\":t[n]=0;break;case\"anticlock\":t[n]=1}return 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N extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}}n.ScalarSpec=N,N.__name__=\"ScalarSpec\";class z extends N{}n.AnyScalar=z,z.__name__=\"AnyScalar\";class D extends N{}n.ColorScalar=D,D.__name__=\"ColorScalar\";class F extends N{}n.NumberScalar=F,F.__name__=\"NumberScalar\";class k extends N{}n.StringScalar=k,k.__name__=\"StringScalar\";class O extends N{}n.NullStringScalar=O,O.__name__=\"NullStringScalar\";class U extends N{}n.ArrayScalar=U,U.__name__=\"ArrayScalar\";class w extends N{}n.LineJoinScalar=w,w.__name__=\"LineJoinScalar\";class R extends N{}n.LineCapScalar=R,R.__name__=\"LineCapScalar\";class E extends N{}n.FontSizeScalar=E,E.__name__=\"FontSizeScalar\";class $ extends N{}n.FontStyleScalar=$,$.__name__=\"FontStyleScalar\";class H extends N{}n.TextAlignScalar=H,H.__name__=\"TextAlignScalar\";class j extends N{}n.TextBaselineScalar=j,j.__name__=\"TextBaselineScalar\";class I extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}array(e){let t;if(null!=this.spec.field){if(t=this.normalize(e.get_column(this.spec.field)),null==t)throw new Error(`attempted to retrieve property array for nonexistent field '${this.spec.field}'`)}else if(null!=this.spec.expr)t=this.normalize(this.spec.expr.v_compute(e));else{let n=e.get_length();null==n&&(n=1);const i=this.value(!1);t=r.repeat(i,n)}return null!=this.spec.transform&&(t=this.spec.transform.v_compute(t)),t}}n.VectorSpec=I,I.__name__=\"VectorSpec\";class J extends I{}n.DataSpec=J,J.__name__=\"DataSpec\";class V extends I{_update(e){super._update(e),null==this.spec.units&&(this.spec.units=this.default_units);const t=this.spec.units;if(!r.includes(this.valid_units,t))throw new Error(`units must be one of ${this.valid_units.join(\", \")}; 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i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].level<this._log_level.level||this._log_level.level===g.OFF.level?this[e]=function(){}:this[e]=r(e,l)}}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function r(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function i(e){const l=o.logger.level;return n.isString(e)&&null==g.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(\"[bokeh] valid log levels are: \"+g.levels.join(\", \"))):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new s(\"trace\",0),g.DEBUG=new s(\"debug\",1),g.INFO=new s(\"info\",2),g.WARN=new s(\"warn\",6),g.ERROR=new s(\"error\",7),g.FATAL=new s(\"fatal\",8),g.OFF=new s(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=i,o.with_log_level=function(e,l){const o=i(e);try{l()}finally{i(o)}}},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-shading {\\n  position: absolute;\\n  display: block;\\n  border: 1px dashed green;\\n}\\n\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(31),n=t(75),r=t(76),o=t(23),_=i.__importStar(t(18)),l=t(10);class h extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;n<r;n++){const r=Math.PI/2+l.atan2([i[0][n],i[1][n]],[a[0][n],a[1][n]]);t.save(),t.translate(a[0][n],a[1][n]),t.rotate(r),\"render\"==e?s.render(t,n):\"clip\"==e&&s.clip(t,n),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=h,h.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=h,this.mixins(o.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function m(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,m,f]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<m;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=m;class f extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const e in t)s[e]=h(s[e],t[e],n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=f,f.__name__=\"ColumnDataSource\",f.init_ColumnDataSource()},\n      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(78),i=t(14),r=t(72),c=t(80),l=a.__importStar(t(18)),o=t(8),u=t(9),h=t(17),g=t(79),_=t(102);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let n=this.data[t];return null==n?this.data[t]=n=[]:o.isArray(n)||(this.data[t]=n=Array.from(n)),n}static init_ColumnarDataSource(){this.define({selection_policy:[l.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e<t;e++)this.decimated.push(e*l);const n=Date.now()-i;c.logger.debug(`${this.glyph.model.type} ${this.model}): set_data finished in ${n}ms`),this.set_data_timestamp=Date.now(),e&&this.request_render()}get has_webgl(){return this.glyph.has_webgl}render(){if(!this.model.visible)return;const e=Date.now(),t=this.has_webgl;this.glyph.map_data();const i=Date.now()-e,s=Date.now();let l=this.glyph.mask_data(this.all_indices);l.length===this.all_indices.length&&(l=g.range(0,this.all_indices.length));const _=Date.now()-s,{ctx:r}=this.layer;r.save();const{selected:p}=this.model.data_source;let y;y=!p||p.is_empty()?[]:this.glyph instanceof n.LineView&&p.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(l):p.indices;const{inspected:u}=this.model.data_source,m=new Set((()=>!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in       : ${i}ms`),c.logger.trace(` - mask_data finished in      : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in  : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.get_view=()=>this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;e<t;e++)(_[e]<=n&&n<=_[e+1]||_[e+1]<=n&&n<=_[e])&&(s.add_to_selected_glyphs(this.model),s.get_view=()=>this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y[t];!isNaN(s+i)&&isFinite(s+i)&&e.push({x0:s,y0:i,x1:s,y1:i,i:t})}return new i.SpatialIndex(e)}scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}}s.XYGlyphView=_,_.__name__=\"XYGlyphView\";class h extends n.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.coords([[\"x\",\"y\"]])}}s.XYGlyph=h,h.__name__=\"XYGlyph\",h.init_XYGlyph()},\n      function _(n,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=n(1).__importDefault(n(86)),s=n(88);class r{constructor(n){if(this.points=n,this.index=null,n.length>0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,x)}!function t(s,i,e,h,n,o){if(Math.floor(h/o)>=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]<r);do{d--}while(s[d]>r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];i<this._boxes[r]||(e<this._boxes[r+1]||t>this._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i<e;i+=4){const e=0|this._indices[i>>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t<s?s-t:t<=i?0:t-i}function r(t,s){let i=0,e=s.length-1;for(;i<e;){const h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let 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super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){let s=null;try{s=await Promise.resolve().then(()=>i.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0<t.x0&&(t.x0=s.x0),s.x1>t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0<t.y0&&(t.y0=e.y0),e.y1>t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a<r;a++){const[r,_]=this.map_to_screen(t[e][a],t[s][a]);t[i][a]=r,t[n][a]=_}}else[t[i],t[n]]=this.map_to_screen(t[e],t[s])}this._map_data()}_map_data(){}map_to_screen(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)}}s.GlyphView=x,x.__name__=\"GlyphView\";class m extends o.Model{constructor(t){super(t)}static init_Glyph(){this.prototype._coords=[],this.internal({x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]})}static coords(t){const e=this.prototype._coords.concat(t);this.prototype._coords=e;const s={};for(const[e,i]of t)s[e]=[n.CoordinateSpec],s[i]=[n.CoordinateSpec];this.define(s)}}s.Glyph=m,m.__name__=\"Glyph\",m.init_Glyph()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(91),r=s.__importStar(t(18)),a=t(12),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 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max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n      function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];s<n!=_<n&&r+(n-s)/(_-s)*(c-r)<t&&(o=!o),r=c,s=_}return o},e.point_in_ellipse=function(t,n,e,i,o,r,s){return((Math.cos(e)/o)**2+(Math.sin(e)/i)**2)*(t-r)**2+2*Math.cos(e)*Math.sin(e)*((1/o)**2-(1/i)**2)*(t-r)*(n-s)+((Math.cos(e)/i)**2+(Math.sin(e)/o)**2)*(n-s)**2<=1},e.dist_2_pts=o,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,o,r,s,u){const c=(u-r)*(e-t)-(s-o)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-r,l=t-o;const y=(e-t)*_-(i-n)*l;return _=((s-o)*_-(u-r)*l)/c,l=y/c,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t<s;t++){const s=this._x1[t],i=this._x2[t],r=this._y[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:Math.min(s,i),y0:r,x1:Math.max(s,i),y1:r,i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y1[t],r=this._y2[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:s,y0:Math.min(i,r),x1:s,y1:Math.max(i,r),i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this.indices.length;i++)this.indices_map[this.indices[i]]=i}convert_selection_from_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);for(let t=this._upper_sx.length-1;t>=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let t=0,s=this._upper_sx.length;t<s;t++)e.lineTo(this._upper_sx[t],this._upper_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}s.BandView=n,n.__name__=\"BandView\";class h extends _.Annotation{constructor(e){super(e)}static init_Band(){this.prototype.default_view=n,this.mixins([l.Line,l.Fill]),this.define({lower:[a.DistanceSpec],upper:[a.DistanceSpec],base:[a.DistanceSpec],dimension:[a.Dimension,\"height\"],source:[a.Instance,()=>new o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}e.BoxAnnotationView=h,h.__name__=\"BoxAnnotationView\";class _ extends n.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=h,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({left:t,right:i,top:e,bottom:s}){this.setv({left:t,right:i,top:e,bottom:s,screen:!0},{silent:!0}),this.data_update.emit()}}e.BoxAnnotation=_,_.__name__=\"BoxAnnotation\",_.init_BoxAnnotation()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(31),s=t(109),r=t(113),l=t(115),n=t(120),_=t(130),h=t(131),m=o.__importStar(t(23)),d=o.__importStar(t(18)),c=o.__importStar(t(132)),u=t(9),p=t(12),g=t(8),f=t(11);class b extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.visible.change,()=>this.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],l=this.model.label_standoff+this._tick_extent(),[n,_]=[l*i,l*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+n,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(null==this.model.color_mapper.low||null==this.model.color_mapper.high||u.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=u.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.low,this.model.color_mapper.high],l=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),n=l.major,_=l.minor,h=[[],[]],m=[[],[]];for(let t=0,e=n.length;t<e;t++)n[t]<s||n[t]>r||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n      function _(o,n,l){Object.defineProperty(l,\"__esModule\",{value:!0});const e=o(116),t=o(12);class i extends e.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,n,l,e){const{nan_color:i,low_color:r,high_color:s}=e,c=null!=this.low?this.low:t.min(o),h=null!=this.high?this.high:t.max(o),u=l.length-1,a=1/(h-c),_=1/l.length;for(let e=0,t=o.length;e<t;e++){const t=o[e];if(isNaN(t)){n[e]=i;continue}if(t==h){n[e]=l[u];continue}const p=(t-c)*a,f=Math.floor(p/_);n[e]=f<0?null!=r?r:l[0]:f>u?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n      function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=i,i.__name__=\"Scale\",i.init_Scale()},\n      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(124);t.CustomJSTransform=e.CustomJSTransform;var a=r(125);t.Dodge=a.Dodge;var n=r(126);t.Interpolator=n.Interpolator;var p=r(127);t.Jitter=p.Jitter;var l=r(128);t.LinearInterpolator=l.LinearInterpolator;var v=r(129);t.StepInterpolator=v.StepInterpolator;var s=r(119);t.Transform=s.Transform},\n      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(119),a=n.__importStar(t(18)),o=t(17),u=t(24);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1),o=e(119),i=e(90),s=n.__importStar(e(18)),a=e(8);class c extends o.Transform{constructor(e){super(e)}static init_Dodge(){this.define({value:[s.Number,0],range:[s.Instance]})}v_compute(e){let t;if(this.range instanceof i.FactorRange)t=this.range.v_synthetic(e);else{if(!a.isArrayableOf(e,a.isNumber))throw new Error(\"unexpected\");t=e}const r=new Float64Array(t.length);for(let e=0;e<t.length;e++){const n=t[e];r[e]=this._compute(n)}return r}compute(e){if(this.range instanceof i.FactorRange)return this._compute(this.range.synthetic(e));if(a.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}_compute(e){return e+this.value}}r.Dodge=c,c.__name__=\"Dodge\",c.init_Dodge()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(119),n=s.__importStar(t(18)),i=t(9),a=t(8);class h extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[n.Any],y:[n.Any],data:[n.Any],clip:[n.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;r<t.length;r++){const s=t[r];e[r]=this.compute(s)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(a.isString(this.x)&&a.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!i.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!i.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!a.isArray(this.x)||!a.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const s=[];for(const t in e)s.push({x:e[t],y:r[t]});t?s.sort((t,e)=>t.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.x<e.x?-1:t.x==e.x?0:1),this._x_sorted=[],this._y_sorted=[];for(const{x:t,y:e}of s)this._x_sorted.push(t),this._y_sorted.push(e);this._sorted_dirty=!1}}r.Interpolator=h,h.__name__=\"Interpolator\",h.init_Interpolator()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=t(119),s=t(90),o=t(8),u=i.__importStar(t(18)),a=i.__importStar(t(10));class h extends n.Transform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[u.Number,0],width:[u.Number,1],distribution:[u.Distribution,\"uniform\"],range:[u.Instance]}),this.internal({previous_values:[u.Array]})}v_compute(t){if(null!=this.previous_values&&this.previous_values.length==t.length)return this.previous_values;let e;if(this.range instanceof s.FactorRange)e=this.range.v_synthetic(t);else{if(!o.isArrayableOf(t,o.isNumber))throw new Error(\"unexpected\");e=t}const r=new Float64Array(e.length);for(let t=0;t<e.length;t++){const i=e[t];r[t]=this._compute(i)}return this.previous_values=r,r}compute(t){if(this.range instanceof s.FactorRange)return this._compute(this.range.synthetic(t));if(o.isNumber(t))return this._compute(t);throw new Error(\"unexpected\")}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}r.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(126);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(126),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,s]=this._compute_state(),n=(t-o)/e;return Math.exp(a*n+s)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[s,n]=this._get_safe_factor(t,e);let r,l;return 0==s?(r=Math.log(n),l=0):(r=Math.log(n)-Math.log(s),l=Math.log(s)),[a,o,r,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(91),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(68),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(134),l=e(68),n=s.__importStar(e(23)),o=s.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:t,ascent:i}=e.measureText(this.model.text);return{width:t,height:i}}render(){if(this.model.visible||\"css\"!=this.model.render_mode||l.undisplay(this.el),!this.model.visible)return;let e;switch(this.model.angle_units){case\"rad\":e=-this.model.angle;break;case\"deg\":e=-this.model.angle*Math.PI/180}const t=null!=this.panel?this.panel:this.plot_view.frame,i=this.plot_view.frame.xscales[this.model.x_range_name],s=this.plot_view.frame.yscales[this.model.y_range_name];let a=\"data\"==this.model.x_units?i.compute(this.model.x):t.xview.compute(this.model.x),n=\"data\"==this.model.y_units?s.compute(this.model.y):t.yview.compute(this.model.y);a+=this.model.x_offset,n-=this.model.y_offset,(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,n,e)}}i.LabelView=_,_.__name__=\"LabelView\";class r extends a.TextAnnotation{constructor(e){super(e)}static init_Label(){this.prototype.default_view=_,this.mixins([n.Text,[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({x:[o.Number],x_units:[o.SpatialUnits,\"data\"],y:[o.Number],y_units:[o.SpatialUnits,\"data\"],text:[o.String],angle:[o.Angle,0],angle_units:[o.AngleUnits,\"rad\"],x_offset:[o.Number,0],y_offset:[o.Number,0],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=r,r.__name__=\"Label\",r.init_Label()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(31),a=e(68),n=i.__importStar(e(18)),o=e(132),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&this.plot_view.canvas_view.add_overlay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;l<o;l++)t(e,l,this._text[l],s[l]+this._x_offset[l],i[l]-this._y_offset[l],this._angle[l])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,l,o){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,l),t.rotate(o),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,l,o){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=l+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",o&&(a.style.transform=`rotate(${o}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends l.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;s<l;s++){let l,o;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(l=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");o=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(l,o)):n.lineTo(l,o)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(31),l=n.__importStar(e(23)),o=n.__importStar(e(18));class r extends s.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return e<i?\"right\":\"left\";case\"vertical\":return s<l?\"below\":\"above\";default:return t}}s.compute_side=c;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),o.undisplay(this.el)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.model.lower_head.render(e,s),e.restore();if(null!=this.model.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.model.upper_head.render(e,s),e.restore()}}s.WhiskerView=_,_.__name__=\"WhiskerView\";class l extends r.Annotation{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=_,this.mixins(n.LineVector),this.define({lower:[h.DistanceSpec],lower_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;t<a.length;t++){const i=Math.round(a[t]+n*r),s=Math.round(l[t]+o*_);e.lineTo(i,s)}e.stroke()}_draw_major_ticks(e,t,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(e,i.major,s,a,l)}_draw_minor_ticks(e,t,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(e,i.minor,s,a,l)}_draw_major_labels(e,t,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=t.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(e,a,s,l,this.panel.side,n,o)}_draw_axis_label(e,t,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;switch(this.panel.side){case\"above\":s=this.panel._hcenter.value,a=this.panel._bottom.value;break;case\"below\":s=this.panel._hcenter.value,a=this.panel._top.value;break;case\"left\":s=this.panel._right.value,a=this.panel._vcenter.value;break;case\"right\":s=this.panel._left.value,a=this.panel._vcenter.value;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const l=[[s],[a]],n=t.tick+o.sum(t.tick_label)+this.model.axis_label_standoff,r=this.visuals.axis_label_text;this._draw_oriented_labels(e,[this.model.axis_label],l,\"parallel\",this.panel.side,n,r,\"screen\")}_draw_ticks(e,t,i,s,a){if(!a.doit)return;const[l,n]=t,[o,r]=this.plot_view.map_to_screen(l,n,this.model.x_range_name,this.model.y_range_name),[_,h]=this.normals,[c,m]=this.offsets,[d,u]=[_*(c-i),h*(m-i)],[b,x]=[_*(c+s),h*(m+s)];a.set_value(e);for(let t=0;t<o.length;t++){const i=Math.round(o[t]+b),s=Math.round(r[t]+x),a=Math.round(o[t]+d),l=Math.round(r[t]+u);e.beginPath(),e.moveTo(i,s),e.lineTo(a,l),e.stroke()}}_draw_oriented_labels(e,t,i,s,a,l,n,o=\"data\"){if(!n.doit||0==t.length)return;let _,h,c,m;if(\"screen\"==o)[_,h]=i,[c,m]=[0,0];else{const[e,t]=i;[_,h]=this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name),[c,m]=this.offsets}const[d,u]=this.normals,b=d*(c+l),x=u*(m+l);let f;n.set_value(e),this.panel.apply_label_text_heuristics(e,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+b),a=Math.round(h[i]+x);e.translate(s,a),e.rotate(f),e.fillText(t[i],0,0),e.rotate(-f),e.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const e=this.model.axis_label_standoff,t=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,e,t)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const e=this.tick_coords.major,t=this.compute_labels(e[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(t,i,this.panel.side,s,a)]}_oriented_labels_extent(e,t,i,s,a){if(0==e.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(t)?(n=1,o=this.panel.get_label_angle_heuristic(t)):(n=2,o=-t),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let t=0;t<e.length;t++){const s=1.1*l.measureText(e[t]).width,a=.9*l.measureText(e[t]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i<e.length;i++)e[i]in this.model.major_label_overrides&&(t[i]=this.model.major_label_overrides[e[i]]);return t}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:e}=this.plot_view;let[t,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel._top.value-e._bottom.value);break;case\"above\":i=h(this.panel._bottom.value-e._top.value);break;case\"right\":t=h(this.panel._left.value-e._right.value);break;case\"left\":t=h(this.panel._right.value-e._left.value)}return[t,i]}get ranges(){const e=this.dimension,t=(e+1)%2,{frame:i}=this.plot_view,s=[i.x_ranges[this.model.x_range_name],i.y_ranges[this.model.y_range_name]];return[s[e],s[t]]}get computed_bounds(){const[e]=this.ranges,t=this.model.bounds,i=[e.min,e.max];if(\"auto\"==t)return[e.min,e.max];if(r.isArray(t)){let e,s;const[a,l]=t,[n,o]=i;return h(a-l)>h(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(114),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(150);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(157),a=e(158),r=e(163);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o<a&&!(f[o][n]<=r);o++);if((u=f[o]).rules){for(s=t[u.rules],c=T+1;c>=T-g;--c)for(o=0,a=s.length;o<a;o++)s[o].from<=c&&c<=s[o].to?h.push(e(u,s[o],c)):s[o].to<c&&1==g&&(g=c-s[o].to);for(h.sort((function(e,t){return e.sort-t.sort})),o=0,a=h.length;o<a;o++)r>=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function 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Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. 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supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(110),s=e(164),r=e(165),c=e(168),_=e(169),m=e(167);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new 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min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static 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e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(150),s=e(157),o=e(174),a=e(175);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(113),i=o.__importStar(r(18)),c=r(32);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=c.wgs84_mercator.inverse([r[n],t.loc]);o[n]=e}else for(let n=0;n<e;n++){const[,e]=c.wgs84_mercator.inverse([t.loc,r[n]]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=s,s.__name__=\"MercatorTickFormatter\",s.init_MercatorTickFormatter()},\n      function _(r,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=r(1),s=r(109),i=n.__importStar(r(18)),t=r(32);class c extends s.BasicTicker{constructor(r){super(r)}static init_MercatorTicker(){this.define({dimension:[i.LatLon]})}get_ticks_no_defaults(r,o,e,n){if(null==this.dimension)throw new Error(\"MercatorTicker.dimension not configured\");let s,i,c;[r,o]=t.clip_mercator(r,o,this.dimension),\"lon\"===this.dimension?([s,c]=t.wgs84_mercator.inverse([r,e]),[i,c]=t.wgs84_mercator.inverse([o,e])):([c,s]=t.wgs84_mercator.inverse([e,r]),[c,i]=t.wgs84_mercator.inverse([e,o]));const a=super.get_ticks_no_defaults(s,i,e,n),_=[],f=[];if(\"lon\"===this.dimension){for(const r of a.major)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);f.push(o)}}else{for(const r of a.major)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);_.push(o)}for(const r of 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s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n      function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;return i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t<e;t++)i[t]+=o[t]}return i}}n.Stack=s,s.__name__=\"Stack\",s.init_Stack()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(195),o=i.__importStar(e(18));class r extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[o.String],include_zero:[o.Boolean,!1]})}_v_compute(e){const t=new Float64Array(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=r,r.__name__=\"CumSum\",r.init_CumSum()},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(199);t.BooleanFilter=l.BooleanFilter;var i=e(201);t.CustomJSFilter=i.CustomJSFilter;var o=e(200);t.Filter=o.Filter;var F=e(202);t.GroupFilter=F.GroupFilter;var a=e(203);t.IndexFilter=a.IndexFilter},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(200),i=o.__importStar(e(18)),r=e(72),a=e(9),s=e(8);class g extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=this.booleans;return null!=n&&n.length>0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n      function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n      function 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t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const h of t)isNaN(s[h]+i[h]+a[h]+_[h]+r[h]+n[h])||(e.translate(s[h],i[h]),e.rotate(r[h]),e.moveTo(_[h],0),e.beginPath(),e.arc(0,0,_[h],0,n[h],o),e.rotate(n[h]),e.lineTo(a[h],0),e.arc(0,0,a[h],0,-n[h],!o),e.closePath(),e.rotate(-n[h]-r[h]),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,u;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,u=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,o=s+this.max_outer_radius;[a,u]=this.renderer.yscale.r_invert(r,o)}const d=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:u})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),h=(n-a)**2+(_-o)**2;h<=t&&h>=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0<t&&t<1&&h.push(t);continue}const y=x*x-4*l*a,u=Math.sqrt(y);if(y<0)continue;const d=(-x+u)/(2*a);0<d&&d<1&&h.push(d);const f=(-x-u)/(2*a);0<f&&f<1&&h.push(f)}let a=h.length;const x=a;for(;a--;){const x=h[a],l=1-x,y=l*l*l*t+3*l*l*x*i+3*l*x*x*n+x*x*x*o;_[0][a]=y;const u=l*l*l*e+3*l*l*x*s+3*l*x*x*c+x*x*x*r;_[1][a]=u}return _[0][x]=t,_[1][x]=e,_[0][x+1]=o,_[1][x+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class h extends c.GlyphView{_index_data(){const t=[];for(let e=0,i=this._x0.length;e<i;e++){if(isNaN(this._x0[e]+this._x1[e]+this._y0[e]+this._y1[e]+this._cx0[e]+this._cy0[e]+this._cx1[e]+this._cy1[e]))continue;const[i,s,n,c]=r(this._x0[e],this._y0[e],this._x1[e],this._y1[e],this._cx0[e],this._cy0[e],this._cx1[e],this._cy1[e]);t.push({x0:i,y0:s,x1:n,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:r,scx1:h,scy1:_}){if(this.visuals.line.doit)for(const a of e)isNaN(i[a]+s[a]+n[a]+c[a]+o[a]+r[a]+h[a]+_[a])||(t.beginPath(),t.moveTo(i[a],s[a]),t.bezierCurveTo(o[a],r[a],h[a],_[a],n[a],c[a]),this.visuals.line.set_vectorize(t,a),t.stroke())}draw_legend_for_index(t,e,i){o.generic_line_legend(this.visuals,t,e,i)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class _ extends c.Glyph{constructor(t){super(t)}static init_Bezier(){this.prototype.default_view=h,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx0\",\"cy0\"],[\"cx1\",\"cy1\"]]),this.mixins(s.LineVector)}}i.Bezier=_,_.__name__=\"Bezier\",_.init_Bezier()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(93)),h=t.__importStar(s(18)),d=s(9),_=s(12),l=s(79);class c extends r.XYGlyphView{_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];n.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new l.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const _=new Array(n);_[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:_})}}e.CircleView=c,c.__name__=\"CircleView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=c,this.mixins([a.LineVector,a.FillVector]),this.define({angle:[h.AngleSpec,0],size:[h.DistanceSpec,{units:\"screen\",value:4}],radius:[h.DistanceSpec,void 0,{optional:!0}],radius_dimension:[h.RadiusDimension,\"x\"]})}}e.Circle=o,o.__name__=\"Circle\",o.init_Circle()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(84),l=e(23),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(216);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(214),r=e.__importStar(t(93)),a=t(79);class _ extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:r,_angle:a}){for(const _ of s)isNaN(i[_]+e[_]+h[_]+r[_]+a[_])||(t.beginPath(),t.ellipse(i[_],e[_],h[_]/2,r[_]/2,a[_],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,_),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,_),t.stroke()))}_hit_point(t){let s,i,e,h,_,n,l,d,o,x;const{sx:m,sy:c}=t,w=this.renderer.xscale.invert(m),p=this.renderer.yscale.invert(c);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(l=m-this.max_width,d=m+this.max_width,[s,i]=this.renderer.xscale.r_invert(l,d)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(o=c-this.max_height,x=c+this.max_height,[e,h]=this.renderer.yscale.r_invert(o,x));const y=this.index.indices({x0:s,x1:i,y0:e,y1:h}),u=[];for(const t of y)_=r.point_in_ellipse(m,c,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),_&&([l,d]=this.renderer.xscale.r_compute(w,this._x[t]),[o,x]=this.renderer.yscale.r_compute(p,this._y[t]),n=(l-d)**2+(o-x)**2,u.push([t,n]));return a.Selection.from_hits(u)}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,_=new Array(a);_[r]=(s+e)/2;const n=new Array(a);n[r]=(i+h)/2;const l=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(a),x=new Array(a);l>1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s<t;s++)this.stop[s]=this.sy[s]-this.sh[s]/2,this.sbottom[s]=this.sy[s]+this.sh[s]/2;this._clamp_viewport()}}e.HBarView=_,_.__name__=\"HBarView\";class a extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=_,this.coords([[\"left\",\"y\"]]),this.define({height:[r.NumberSpec],right:[r.CoordinateSpec]}),this.override({left:0})}}e.HBar=a,a.__name__=\"HBar\",a.init_HBar()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),r=t(85),n=t(89),h=t(92),o=t(79);class a extends n.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),h=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:h};case\"bottom_center\":return{x:(s+r)/2,y:h};case\"bottom_right\":return{x:r,y:h};case\"center_left\":return{x:s,y:(n+h)/2};case\"center\":return{x:(s+r)/2,y:(n+h)/2};case\"center_right\":return{x:r,y:(n+h)/2};default:return null}}_index_box(t){const e=[];for(let i=0;i<t;i++){const[t,s,r,n]=this._lrtb(i);!isNaN(t+s+r+n)&&isFinite(t+s+r+n)&&e.push({x0:Math.min(t,s),y0:Math.min(r,n),x1:Math.max(s,t),y1:Math.max(r,n),i})}return new r.SpatialIndex(e)}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const h of e)isNaN(i[h]+r[h]+s[h]+n[h])||(t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()),this.visuals.hatch.doit2(t,h,()=>{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=this.index.indices({x0:s,y0:r,x1:s,y1:r});return new o.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=this.index.indices({x0:r,y0:t,x1:n,y1:t})}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=this.index.indices({x0:t,y0:r,x1:t,y1:n})}return new o.Selection({indices:s})}draw_legend_for_index(t,e,i){h.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=a,a.__name__=\"BoxView\";class c extends n.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=c,c.__name__=\"Box\",c.init_Box()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(89),n=i.__importStar(e(93)),o=i.__importStar(e(18)),a=e(23),l=e(85),h=e(92),c=e(79);class _ extends r.GlyphView{scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}_set_data(){const e=this._q.length,t=this.model.size,s=this.model.aspect_scale;if(this._x=new Float64Array(e),this._y=new Float64Array(e),\"pointytop\"==this.model.orientation)for(let i=0;i<e;i++)this._x[i]=t*Math.sqrt(3)*(this._q[i]+this._r[i]/2)/s,this._y[i]=3*-t/2*this._r[i];else for(let i=0;i<e;i++)this._x[i]=3*t/2*this._q[i],this._y[i]=-t*Math.sqrt(3)*(this._r[i]+this._q[i]/2)*s}_index_data(){let e=this.model.size,t=Math.sqrt(3)*e/2;\"flattop\"==this.model.orientation?([t,e]=[e,t],e*=this.model.aspect_scale):t/=this.model.aspect_scale;const s=[];for(let i=0;i<this._x.length;i++){const r=this._x[i],n=this._y[i];!isNaN(r+n)&&isFinite(r+n)&&s.push({x0:r-t,y0:n-e,x1:r+t,y1:n+e,i})}return new l.SpatialIndex(s)}map_data(){[this.sx,this.sy]=this.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,o=r/2;return[[0,-n,-n,0,n,n],[r,o,-o,-r,-o,o]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,o=r/2;return[[r,o,-o,-r,-o,o],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:o}){for(const a of t)if(!isNaN(s[a]+i[a]+o[a])){e.translate(s[a],i[a]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*o[a],n[t]*o[a]);e.closePath(),e.translate(-s[a],-i[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,a),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,a),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of o)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new c.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=this.index.indices({x0:r,y0:e,x1:n,y1:e})}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:e,y0:r,x1:e,y1:n})}return new c.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,o]=this.renderer.xscale.r_invert(t,s),[a,l]=this.renderer.yscale.r_invert(i,r),h=this.index.indices({x0:n,x1:o,y0:a,y1:l});return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=_,_.__name__=\"HexTileView\";class d extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=_,this.coords([[\"r\",\"q\"]]),this.mixins([a.LineVector,a.FillVector]),this.define({size:[o.Number,1],aspect_scale:[o.Number,1],scale:[o.NumberSpec,1],orientation:[o.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=d,d.__name__=\"HexTile\",d.init_HexTile()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(221),n=e(115),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this._image[t];let s;d.is_NDArray(i)?(s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=r.concat(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(){const e=[];for(let t=0,i=this._x.length;t<i;t++){const[i,s,a,h]=this._lrtb(t);!isNaN(i+s+a+h)&&isFinite(i+s+a+h)&&e.push({x0:i,y0:h,x1:s,y1:a,i:t})}return new _.SpatialIndex(e)}_lrtb(e){const t=this.renderer.xscale.source_range,i=this._x[e],s=t.is_reversed?i-this._dw[e]:i+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],n=a.is_reversed?h-this._dh[e]:h+this._dh[e],[_,r]=i<s?[i,s]:[s,i],[d,l]=h<n?[h,n]:[n,h];return[_,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new Array(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new Array(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),_=this._width[e],r=this._height[e],d=(a-s)/_,l=(h-n)/r;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=_-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*_+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&i!=1/0&&_.image_indices.push(this._image_index(e,s,a));return _}}i.ImageBaseView=l,l.__name__=\"ImageBaseView\";class g extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[h.NumberSpec],dw:[h.DistanceSpec],dh:[h.DistanceSpec],dilate:[h.Boolean,!1],global_alpha:[h.Number,1]})}}i.ImageBase=g,g.__name__=\"ImageBase\",g.init_ImageBase()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(221),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),a=i.__importStar(e(18)),n=e(12),h=e(85),l=e(224);class _ extends r.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s<i;s++){const i=this._url[s];null!=i&&\"\"!=i&&new l.ImageLoader(i,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;e<r;e++)a[e]=this._x[e],h[e]=this._y[e];if(s)for(let e=0;e<r;e++)a[r+e]=this._x[e]+this._w[e];if(i)for(let e=0;e<r;e++)h[r+e]=this._y[e]+this._h[e];const _=n.min(a),o=n.max(a),d=n.min(h),c=n.max(h);this._bounds_rect={x0:_,x1:o,y0:d,y1:c}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:n.map(this._x,()=>NaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++){if(null==this._xs[e]||0===this._xs[e].length)continue;const s=this._xs[e],i=[];for(let t=0,e=s.length;t<e;t++){const e=s[t];isNaN(e)||i.push(e)}const n=this._ys[e],l=[];for(let t=0,e=n.length;t<e;t++){const e=n[t];isNaN(e)||l.push(e)}const[o,h]=[r.min(i),r.max(i)],[_,c]=[r.min(l),r.max(l)];t.push({x0:o,y0:_,x1:h,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sxs:s,sys:i}){for(const n of e){const[e,l]=[s[n],i[n]];this.visuals.line.set_vectorize(t,n);for(let s=0,i=e.length;s<i;s++)0!=s?isNaN(e[s])||isNaN(l[s])?(t.stroke(),t.beginPath()):t.lineTo(e[s],l[s]):(t.beginPath(),t.moveTo(e[s],l[s]));t.stroke()}}_hit_point(t){const e={x:t.sx,y:t.sy};let s=9999;const i=new Map;for(let t=0,n=this.sxs.length;t<n;t++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",t)/2);let l=null;for(let i=0,r=this.sxs[t].length-1;i<r;i++){const r={x:this.sxs[t][i],y:this.sys[t][i]},h={x:this.sxs[t][i+1],y:this.sys[t][i+1]},_=o.dist_to_segment(e,r,h);_<n&&_<s&&(s=_,l=[i])}null!=l&&i.set(t,l)}return new a.Selection({indices:[...i.keys()],multiline_indices:h.to_object(i)})}_hit_span(t){const{sx:e,sy:s}=t;let i,n;\"v\"===t.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(e),n=this._xs);const l=new Map;for(let t=0,e=n.length;t<e;t++){const e=[];for(let s=0,l=n[t].length-1;s<l;s++)n[t][s]<=i&&i<=n[t][s+1]&&e.push(s);e.length>0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++){const i=this._xs[t][s][0],n=this._ys[t][s][0];0!=i.length&&e.push({x0:l.min(i),y0:l.min(n),x1:l.max(i),y1:l.max(n),i:t})}return this.hole_index=this._index_hole_data(),new n.SpatialIndex(e)}_index_hole_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++)if(this._xs[t][s].length>1)for(let i=1,n=this._xs[t][s].length;i<n;i++){const n=this._xs[t][s][i],r=this._ys[t][s][i];0!=n.length&&e.push({x0:l.min(n),y0:l.min(r),x1:l.max(n),y1:l.max(r),i:t})}return new n.SpatialIndex(e)}_mask_data(){const e=this.renderer.plot_view.frame.x_ranges.default,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r}).sort((e,t)=>e-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,r=t[i].length;n<r;n++){const r=t[i][n],o=s[i][n];for(let t=0,s=r.length;t<s;t++)0!=t?e.lineTo(r[t],o[t]):e.moveTo(r[t],o[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,r]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e<t;e++){const t=x[e],s=this.sxs[t],i=this.sys[t];let n=!0;for(let e=0,t=s.length;e<t;e++){for(let t=0,l=s[e][0].length;t<l;t++){const l=s[e][0][t],h=i[e][0][t];if(!a.point_in_poly(l,h,r,o)){n=!1;break}}if(!n)break}n&&y.push(t)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=this.hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(let e=0,i=r.length;e<i;e++){const i=r[e],n=this.sxs[i],h=this.sys[i];for(let e=0,r=n.length;e<r;e++){const r=n[e].length;if(a.point_in_poly(t,s,n[e][0],h[e][0]))if(1==r)l.push(i);else if(-1==o.indexOf(i))l.push(i);else if(r>1){let o=!1;for(let i=1;i<r;i++){const r=n[e][i],l=h[e][i];if(a.point_in_poly(t,s,r,l)){o=!0;break}}o||l.push(i)}}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterx(e,t,s){if(1==this.sxs[e].length)return this._get_snap_coord(this.sxs[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(i[e][0])}x.unreachable()}scentery(e,t,s){if(1==this.sys[e].length)return this._get_snap_coord(this.sys[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(n[e][0])}x.unreachable()}map_data(){const e=this;for(let[t,s]of this.model._coords){const i=\"s\"+t,n=\"s\"+s;if(t=\"_\"+t,s=\"_\"+s,null!=e[t]&&(d.isArray(e[t][0])||d.isTypedArray(e[t][0]))){const r=e[t].length;e[i]=new Array(r),e[n]=new Array(r);for(let o=0;o<r;o++){const r=e[t][o].length;e[i][o]=new Array(r),e[n][o]=new Array(r);for(let l=0;l<r;l++){const r=e[t][o][l].length;e[i][o][l]=new Array(r),e[n][o][l]=new Array(r);for(let h=0;h<r;h++){const[r,_]=this.map_to_screen(e[t][o][l][h],e[s][o][l][h]);e[i][o][l][h]=r,e[n][o][l][h]=_}}}}}}draw_legend_for_index(e,t,s){o.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends r.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.coords([[\"xs\",\"ys\"]]),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(216);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n      function _(s,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=s(1),n=s(85),r=s(89),o=s(92),l=s(9),_=s(12),h=s(23),c=i.__importStar(s(93)),a=s(79),d=s(11);class u extends r.GlyphView{_build_discontinuous_object(s){const t=[];for(let e=0,i=s.length;e<i;e++){t[e]=[];let i=l.copy(s[e]);for(;i.length>0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;i<n;i++)for(let n=0,r=s[i].length;n<r;n++){const r=s[i][n],o=t[i][n];0!=r.length&&e.push({x0:l.min(r),y0:l.min(o),x1:l.max(r),y1:l.max(o),i})}return new n.SpatialIndex(e)}_mask_data(){const s=this.renderer.plot_view.frame.x_ranges.default,[t,e]=[s.min,s.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:e,y0:n,y1:r}).sort((s,t)=>s-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+e[n])?(s.closePath(),i.apply(s),s.beginPath()):s.lineTo(t[n],e[n]):(s.beginPath(),s.moveTo(t[n],e[n]));s.closePath(),i.call(s)}_render(s,t,{sxs:e,sys:i}){this.sxss=this._build_discontinuous_object(e),this.syss=this._build_discontinuous_object(i);for(const n of t){const[t,r]=[e[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,n),this._inner_loop(s,t,r,s.fill)),this.visuals.hatch.doit2(s,n,()=>this._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s<t;s++){const t=u[s],e=this.sxs[t],i=this.sys[t];let n=!0;for(let s=0,t=e.length;s<t;s++){const t=e[s],l=i[s];if(!c.point_in_poly(t,l,r,o)){n=!1;break}}n&&x.push(t)}return new a.Selection({indices:x})}_hit_point(s){const{sx:t,sy:e}=s,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(e),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let s=0,i=r.length;s<i;s++){const i=r[s],n=this.sxss[i],l=this.syss[i];for(let s=0,r=n.length;s<r;s++)c.point_in_poly(t,e,n[s],l[s])&&o.push(i)}return new a.Selection({indices:o})}_get_snap_coord(s){return _.sum(s)/s.length}scenterx(s,t,e){if(1==this.sxss[s].length)return this._get_snap_coord(this.sxs[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(i[s])}d.unreachable()}scentery(s,t,e){if(1==this.syss[s].length)return this._get_snap_coord(this.sys[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(n[s])}d.unreachable()}draw_legend_for_index(s,t,e){o.generic_area_legend(this.visuals,s,t,e)}}e.PatchesView=u,u.__name__=\"PatchesView\";class x extends r.Glyph{constructor(s){super(s)}static init_Patches(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([h.LineVector,h.FillVector,h.HatchVector])}}e.Patches=x,x.__name__=\"Patches\",x.init_Patches()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(218);class _ extends i.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._right.length)}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}s.QuadView=_,_.__name__=\"QuadView\";class o extends i.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.coords([[\"right\",\"bottom\"],[\"left\",\"top\"]])}}s.Quad=o,o.__name__=\"Quad\",o.init_Quad()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(23),n=t(85),r=t(89),_=t(92);function a(t,i,e){if(i==(t+e)/2)return[t,e];{const s=(t-i)/(t-2*i+e),n=t*(1-s)**2+2*i*(1-s)*s+e*s**2;return[Math.min(t,e,n),Math.max(t,e,n)]}}class c extends r.GlyphView{_index_data(){const t=[];for(let i=0,e=this._x0.length;i<e;i++){if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx[i]+this._cy[i]))continue;const[e,s]=a(this._x0[i],this._cx[i],this._x1[i]),[n,r]=a(this._y0[i],this._cy[i],this._y1[i]);t.push({x0:e,y0:n,x1:s,y1:r,i})}return new n.SpatialIndex(t)}_render(t,i,{sx0:e,sy0:s,sx1:n,sy1:r,scx:_,scy:a}){if(this.visuals.line.doit)for(const c of i)isNaN(e[c]+s[c]+n[c]+r[c]+_[c]+a[c])||(t.beginPath(),t.moveTo(e[c],s[c]),t.quadraticCurveTo(_[c],a[c],n[c],r[c]),this.visuals.line.set_vectorize(t,c),t.stroke())}draw_legend_for_index(t,i,e){_.generic_line_legend(this.visuals,t,i,e)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}e.QuadraticView=c,c.__name__=\"QuadraticView\";class o extends r.Glyph{constructor(t){super(t)}static init_Quadratic(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx\",\"cy\"]]),this.mixins(s.LineVector)}}e.Quadratic=o,o.__name__=\"Quadratic\",o.init_Quadratic()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),a=e(92),l=e(23),r=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const l=2*(this.renderer.plot_view.frame._width.value+this.renderer.plot_view.frame._height.value);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=l);for(const l of t)isNaN(i[l]+s[l]+a[l]+n[l])||(e.translate(i[l],s[l]),e.rotate(a[l]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[l],0),this.visuals.line.set_vectorize(e,l),e.stroke(),e.rotate(-a[l]),e.translate(-i[l],-s[l]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(l.LineVector),this.define({length:[r.DistanceSpec],angle:[r.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(214),a=t(92),r=i.__importStar(t(18)),n=t(12),_=t(79);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new Float64Array(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new Float64Array(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new Float64Array(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:a,sw:r,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||(this.visuals.fill.set_vectorize(t,l),_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.fillRect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.fillRect(h[l],a[l],r[l],n[l]));if(this.visuals.line.doit){t.beginPath();for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||0!=r[l]&&0!=n[l]&&(_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.rect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.rect(h[l],a[l],r[l],n[l]),this.visuals.line.set_vectorize(t,l),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),a=[];for(let t=0,s=this.sx0.length;t<s;t++)a.push(this.sx0[t]+this.sw[t]/2);const r=[];for(let t=0,s=this.sy1.length;t<s;t++)r.push(this.sy1[t]+this.sh[t]/2);const l=n.max(this._ddist(0,a,this.ssemi_diag)),o=n.max(this._ddist(1,r,this.ssemi_diag)),d=i-l,c=i+l,x=h-o,y=h+o,f=[];for(const t of this.index.indices({x0:d,x1:c,y0:x,y1:y})){let i,h;if(this._angle[t]){const a=Math.sin(-this._angle[t]),r=Math.cos(-this._angle[t]),n=r*(s-this.sx[t])-a*(e-this.sy[t])+this.sx[t],_=a*(s-this.sx[t])+r*(e-this.sy[t])+this.sy[t];s=n,e=_,h=Math.abs(this.sx[t]-s)<=this.sw[t]/2,i=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else h=s-this.sx0[t]<=this.sw[t]&&s-this.sx0[t]>=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e<i;e++)h[e]=Number(t[e])-s[e]/2,a[e]=Number(t[e])+s[e]/2;const r=e.v_compute(h),n=e.v_compute(a),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let l=r;for(let t=0,s=r.length;t<s;t++)if(r[t]!=n[t]){l=r[t]<n[t]?r:n;break}return[_,l]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,a=h.length,r=new Float64Array(a);for(let t=0;t<a;t++)r[t]=h[t]+e[t];const n=i.v_invert(h),_=i.v_invert(r),l=n.length,o=new Float64Array(l);for(let t=0;t<l;t++)o[t]=Math.abs(_[t]-n[t]);return o}draw_legend_for_index(t,s,e){a.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class o extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[r.Boolean,!1]})}}e.Rect=o,o.__name__=\"Rect\",o.init_Rect()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importStar(e(93)),n=e(23),r=e(85),h=e(89),_=e(92),a=e(79);class c extends h.GlyphView{_index_data(){const e=[];for(let s=0,t=this._x0.length;s<t;s++){const t=this._x0[s],i=this._x1[s],n=this._y0[s],r=this._y1[s];isNaN(t+i+n+r)||e.push({x0:Math.min(t,i),y0:Math.min(n,r),x1:Math.max(t,i),y1:Math.max(n,r),i:s})}return new r.SpatialIndex(e)}_render(e,s,{sx0:t,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const h of s)isNaN(t[h]+i[h]+n[h]+r[h])||(e.beginPath(),e.moveTo(t[h],i[h]),e.lineTo(n[h],r[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}_hit_point(e){const{sx:s,sy:t}=e,n={x:s,y:t},[r,h]=this.renderer.xscale.r_invert(s-2,s+2),[_,c]=this.renderer.yscale.r_invert(t-2,t+2),o=this.index.indices({x0:r,y0:_,x1:h,y1:c}),x=[];for(const e of o){const s=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,t={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};i.dist_to_segment_squared(n,t,r)<s&&x.push(e)}return new a.Selection({indices:x})}_hit_span(e){const[s,t]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,h,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,h]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,h]=[this._x0,this._x1]);const c=[],[o,x]=this.renderer.xscale.r_invert(s.start,s.end),[l,d]=this.renderer.yscale.r_invert(t.start,t.end),y=this.index.indices({x0:o,y0:l,x1:x,y1:d});for(const s of y){(r[s]<=_&&_<=h[s]||h[s]<=_&&_<=r[s])&&c.push(s);const t=1.5+this.visuals.line.cache_select(\"line_width\",s)/2;r[s]==h[s]&&(\"h\"==e.direction?Math.abs(this.sx0[s]-i)<=t&&c.push(s):Math.abs(this.sy0[s]-n)<=t&&c.push(s))}return new a.Selection({indices:c})}scenterx(e){return(this.sx0[e]+this.sx1[e])/2}scentery(e){return(this.sy0[e]+this.sy1[e])/2}draw_legend_for_index(e,s,t){_.generic_line_legend(this.visuals,e,s,t)}}t.SegmentView=c,c.__name__=\"SegmentView\";class o extends h.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"]]),this.mixins(n.LineVector)}}t.Segment=o,o.__name__=\"Segment\",o.init_Segment()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(84),o=e(92),r=e(23),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let r=0,l=h;r<l;r++){const[l,a]=this._rotate_point(e,s,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(l,a,n[r],_[r])&&i.push(t)}}return new a.Selection({indices:i})}_scenterxy(t){const e=this._sxs[t],s=this._sys[t];l.assert(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],_=(e[0][2]+i)/2,o=(s[0][2]+n)/2,[h,r]=this._rotate_point(_,o,i,n,this._angle[t]);return{x:h,y:r}}scenterx(t){return this._scenterxy(t).x}scentery(t){return this._scenterxy(t).y}}s.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}s.Text=x,x.__name__=\"Text\",x.init_Text()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class o extends h.BoxView{scenterx(t){return this.sx[t]}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._x.length)}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new Float64Array(t),this.sright=new Float64Array(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=o,o.__name__=\"VBarView\";class _ extends h.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=o,this.coords([[\"x\",\"bottom\"]]),this.define({width:[r.NumberSpec],top:[r.CoordinateSpec]}),this.override({bottom:0})}}e.VBar=_,_.__name__=\"VBar\",_.init_VBar()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),d=e(10),o=e(79);class l extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const _=this.model.properties.direction.value();for(const d of s)isNaN(t[d]+i[d]+r[d]+n[d]+a[d])||(e.beginPath(),e.arc(t[d],i[d],r[d],n[d],a[d],_),e.lineTo(t[d],i[d]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,_,l,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),x=this.renderer.yscale.invert(u),g=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-g,_=p+g,l=x-g,c=x+g):(t=h-g,i=h+g,[a,_]=this.renderer.xscale.r_invert(t,i),r=u-g,n=u+g,[l,c]=this.renderer.yscale.r_invert(r,n));const y=[];for(const e of this.index.indices({x0:a,x1:_,y0:l,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(x,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&y.push([e,s])}const f=this.model.properties.direction.value(),v=[];for(const[e,s]of y){const t=Math.atan2(u-this.sy[e],h-this.sx[e]);d.angle_between(-t,-this._start_angle[e],-this._end_angle[e],f)&&v.push([e,s])}return o.Selection.from_hits(v)}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}_scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+s*Math.cos(t),y:this.sy[e]+s*Math.sin(t)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}t.WedgeView=l,l.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=l,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(101),_),r.__exportStar(e(239),_),r.__exportStar(e(240),_)},\n      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(71);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(1),r=t(239),s=o.__importStar(t(18));class n extends r.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=[],e=[],o=t.data.index;for(let t=0,r=o.length;t<r;t++){const r=this.graph_layout[o[t]],[s,n]=null!=r?r:[NaN,NaN];a.push(s),e.push(n)}return[a,e]}get_edge_coordinates(t){const a=[],e=[],o=t.data.start,r=t.data.end,s=null!=t.data.xs&&null!=t.data.ys;for(let n=0,u=o.length;n<u;n++){const u=null!=this.graph_layout[o[n]]&&null!=this.graph_layout[r[n]];if(s&&u)a.push(t.data.xs[n]),e.push(t.data.ys[n]);else{let t,s;[s,t]=u?[this.graph_layout[o[n]],this.graph_layout[r[n]]]:[[NaN,NaN],[NaN,NaN]],a.push([s[0],t[0]]),e.push([s[1],t[1]])}}return[a,e]}}e.StaticLayoutProvider=n,n.__name__=\"StaticLayoutProvider\",n.init_StaticLayoutProvider()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(242);d.Grid=i.Grid},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),s=e(151),r=n.__importStar(e(23)),_=n.__importStar(e(18)),o=e(8);class a extends s.GuideRendererView{render(){if(!this.model.visible)return;const e=this.layer.ctx;e.save(),this._draw_regions(e),this._draw_minor_grids(e),this._draw_grids(e),e.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n<i.length-1;n++){if(n%2!=1)continue;const[s,r]=this.plot_view.map_to_screen(i[n],t[n],this.model.x_range_name,this.model.y_range_name),[_,o]=this.plot_view.map_to_screen(i[n+1],t[n+1],this.model.x_range_name,this.model.y_range_name);this.visuals.band_fill.doit&&e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0]),this.visuals.band_hatch.doit2(e,n,()=>{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;i<t.length;i++){const[s,r]=this.plot_view.map_to_screen(t[i],n[i],this.model.x_range_name,this.model.y_range_name);e.beginPath(),e.moveTo(Math.round(s[0]),Math.round(r[0]));for(let i=1;i<s.length;i++)e.lineTo(Math.round(s[i]),Math.round(r[i]));e.stroke()}}ranges(){const e=this.model.dimension,i=(e+1)%2,t=this.plot_view.frame,n=[t.x_ranges[this.model.x_range_name],t.y_ranges[this.model.y_range_name]];return[n[e],n[i]]}computed_bounds(){const[e]=this.ranges(),i=this.model.bounds,t=[e.min,e.max];let n,s;if(o.isArray(i))n=Math.min(i[0],i[1]),s=Math.max(i[0],i[1]),n<t[0]&&(n=t[0]),s>t[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;e<l.length;e++){if((l[e]==h||l[e]==m)&&i)continue;const s=[],r=[],_=2;for(let i=0;i<_;i++){const t=c+(u-c)/(_-1)*i;s.push(l[e]),r.push(t)}a[t].push(s),a[n].push(r)}return a}}t.GridView=a,a.__name__=\"GridView\";class d extends s.GuideRenderer{constructor(e){super(e)}static init_Grid(){this.prototype.default_view=a,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[_.Any,\"auto\"],dimension:[_.Any,0],axis:[_.Instance],ticker:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=d,d.__name__=\"Grid\",d.init_Grid()},\n      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(244);r.Box=e.Box;var v=a(247);r.Column=v.Column;var x=a(248);r.GridBox=x.GridBox;var B=a(249);r.HTMLBox=B.HTMLBox;var n=a(245);r.LayoutDOM=n.LayoutDOM;var t=a(250);r.Row=t.Row;var u=a(251);r.Spacer=u.Spacer;var d=a(252);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(259);r.WidgetBox=i.WidgetBox},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(245),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n'},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let 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init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n      function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;t<e;t++){const e=o[t];if(isNaN(e)){l[t]=i;continue}if(e>u){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(e<s){l[t]=null!=h?h:n[0];continue}const r=Math.log(e)-Math.log(s);let 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c.Selection({indices:o})}_hit_poly(e){const{sx:s,sy:t}=e,i=h.range(0,this.sx.length),r=[];for(let e=0,n=i.length;e<n;e++){const n=i[e];a.point_in_poly(this.sx[e],this.sy[e],s,t)&&r.push(n)}return new c.Selection({indices:r})}draw_legend_for_index(e,{x0:s,x1:t,y0:i,y1:r},n){const a=n+1,_=new Array(a);_[n]=(s+t)/2;const h=new Array(a);h[n]=(i+r)/2;const c=new Array(a);c[n]=.4*Math.min(Math.abs(t-s),Math.abs(r-i));const o=new Array(a);o[n]=0,this._render(e,[n],{sx:_,sy:h,_size:c,_angle:o})}}t.MarkerView=o,o.__name__=\"MarkerView\";class x extends r.XYGlyph{constructor(e){super(e)}static init_Marker(){this.mixins([n.LineVector,n.FillVector]),this.define({size:[_.DistanceSpec,{units:\"screen\",value:4}],angle:[_.AngleSpec,0]})}}t.Marker=x,x.__name__=\"Marker\",x.init_Marker()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),s=e(268),n=e(267),i=a.__importStar(e(18));class _ extends s.MarkerView{_render(e,t,{sx:r,sy:a,_size:s,_angle:i,_marker:_}){for(const c of t){if(isNaN(r[c]+a[c]+s[c]+i[c])||null==_[c])continue;const t=s[c]/2;e.beginPath(),e.translate(r[c],a[c]),i[c]&&e.rotate(i[c]),n.marker_funcs[_[c]](e,c,t,this.visuals.line,this.visuals.fill),i[c]&&e.rotate(-i[c]),e.translate(-r[c],-a[c])}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},n){const i=n+1,_=new Array(i);_[n]=(t+r)/2;const c=new Array(i);c[n]=(a+s)/2;const o=new Array(i);o[n]=.4*Math.min(Math.abs(r-t),Math.abs(s-a));const l=new Array(i);l[n]=0;const u=new Array(i);u[n]=this._marker[n],this._render(e,[n],{sx:_,sy:c,_size:o,_angle:l,_marker:u})}}r.ScatterView=_,_.__name__=\"ScatterView\";class c extends s.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=_,this.define({marker:[i.MarkerSpec,{value:\"circle\"}]})}}r.Scatter=c,c.__name__=\"Scatter\",c.init_Scatter()},\n      function _(a,o,p){Object.defineProperty(p,\"__esModule\",{value:!0});var 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rt(){Y.apply(this,arguments);var t=y(this.handler,this);this.touch=new nt(this.manager,t),this.mouse=new j(this.manager,t),this.primaryTouch=null,this.lastTouches=[]}function st(t,e){1&t?(this.primaryTouch=e.changedPointers[0].identifier,ot.call(this,e)):12&t&&ot.call(this,e)}function ot(t){var e=t.changedPointers[0];if(e.identifier===this.primaryTouch){var n={x:e.clientX,y:e.clientY};this.lastTouches.push(n);var i=this.lastTouches;setTimeout((function(){var t=i.indexOf(n);t>-1&&i.splice(t,1)}),2500)}}function at(t){for(var e=t.srcEvent.clientX,n=t.srcEvent.clientY,i=0;i<this.lastTouches.length;i++){var r=this.lastTouches[i],s=Math.abs(e-r.x),o=Math.abs(n-r.y);if(s<=25&&o<=25)return!0}return!1}g(rt,Y,{handler:function(t,e,n){var i=\"touch\"==n.pointerType,r=\"mouse\"==n.pointerType;if(!(r&&n.sourceCapabilities&&n.sourceCapabilities.firesTouchEvents)){if(i)st.call(this,e,n);else 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if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(i&&r&&n){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||L(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return 32},failTimeout:function(){return this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n      function 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c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUGEhcuan3d3wAAAoRJREFUWMPtlzFP3EAQhd+b3TNSzg0N5TWXLkJQUUaKhIQ4fgP/g5ArrriE/I3opEgRrZtIVJR0FJQ010SioUmEZHtnUpwN9gWHGA5BJCy58MraffvmfZ41v3z9hqe8BE98vQh4cgG+Ydzmnrng8efvQJNi/uN7dznx/B3ggtfhf4ehNdUttRzBDIm/2VTiiWCG1HK0nc+3UWtq8BQIiEEakEQOADBIA4QCQmBqoHBhFNR27ikQSmGdYCdTqCpEHMDZmEKRWUBEv1gBDg5SzRJnpopILWICgWuRYflLamuzxB2BmtYqSRIka5VWU8QduXO+1hRc5YZu5GAwmP2ZJzND0IBu5HCV2+NQcAhAVRsnC2IbPzPdSjzd6to6VtfWkXi6YLaVWr7xoAwkfpb8MnC3SH7rKSMBe4M0jA/OTicFIbtCGRIyNbURhcf3ErCd6YwA1m0HgAxhw1NGQnlXBHG4kylVlSJuH0RfIP2CkL2I/qS1gIAAQiBl1QwFggIHtyxgrxK5PgyfC0JWKoT0HLh8LwoietB4TYKaIl7yeNURxB05UtMxDOcVQlZIrlRKdK6m47gjR/fuBRQihyLArtNeJD50Izcx2Eczu7iFkIug4VM3cpOr3MKDekFED0fWUHv9Zq0kpLnridjhY3XDg7NTN0jDrhO3X7O9Wg7wwyANu4mnayNg3gmbu0tCNoUyBNGv2l4rB9EXynA7082FOxAQLhU6rQVO9T2AvWowFToNCJcPORGxIRcnpjZSKATSU9NxvOQnAPArDSaQoUKnNI4iufkGtD4P3EHIcWZhz4HLceSOyrR3Izf5memPAL2cX3yhAkonysZVaWLBkd9dw1Ivv2a/AYPkK+ty1U1DAAAAAElFTkSuQmCC\");\\n}\\n.bk-root 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url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-in {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-out {\\n  background-image: 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     function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: 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e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left),s=this.right_panel.measure({width:0,height:t.height}),n=Math.max(s.width,this.min_border.right),a=this.top_panel.measure({width:t.width,height:0}),o=Math.max(a.height,this.min_border.top),l=this.bottom_panel.measure({width:t.width,height:0}),r=Math.max(l.height,this.min_border.bottom),h=new x.Sizeable(t).shrink_by({left:i,right:n,top:o,bottom:r}),_=this.center_panel.measure(h);return{width:i+_.width+n,height:o+_.height+r,inner:{left:i,right:n,top:o,bottom:r},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const c=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n      function _(e,t,n){\n      /*!\n           * jQuery Mousewheel 3.1.13\n           *\n           * Copyright jQuery Foundation and other contributors\n           * Released under the MIT license\n           * http://jquery.org/license\n           */\n      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n      function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=l(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=c,c.__name__=\"GeoJSONDataSource\",c.init_GeoJSONDataSource()},\n      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(110);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(109);i.BasicTicker=a.BasicTicker;var k=e(153);i.CategoricalTicker=k.CategoricalTicker;var T=e(164);i.CompositeTicker=T.CompositeTicker;var t=e(111);i.ContinuousTicker=t.ContinuousTicker;var o=e(163);i.DatetimeTicker=o.DatetimeTicker;var v=e(165);i.DaysTicker=v.DaysTicker;var n=e(307);i.FixedTicker=n.FixedTicker;var s=e(172);i.LogTicker=s.LogTicker;var l=e(175);i.MercatorTicker=l.MercatorTicker;var u=e(168);i.MonthsTicker=u.MonthsTicker;var d=e(166);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(112);i.Ticker=g.Ticker;var C=e(169);i.YearsTicker=C.YearsTicker},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(111),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(309);o.BBoxTileSource=T.BBoxTileSource;var c=e(310);o.MercatorTileSource=c.MercatorTileSource;var i=e(313);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(314);o.TileRenderer=l.TileRenderer;var S=e(311);o.TileSource=S.TileSource;var u=e(318);o.TMSTileSource=u.TMSTileSource;var a=e(315);o.WMTSTileSource=a.WMTSTileSource},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(310),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(311),r=_.__importStar(t(18)),o=t(9),n=t(312);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);t<i;t++){const[i,s,_]=a[t],n=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const t of n){const[i,s,_,a]=t;e.tiles.has(e.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,a,!0)}}}_fetch_tiles(e){for(const t of e){const[e,i,s,_]=t;this._create_tile(e,i,s,_)}}_update(){const{tile_source:e}=this.model,{min_zoom:t}=e,{max_zoom:i}=e;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],a=this.map_frame._height.value,n=this.map_frame._width.value;let r=e.get_level_by_extent(s,a,n),h=!1;r<t?(s=this.extent,r=t,h=!0):r>i&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||(i.isArray(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const i of t){const t=this._map_drag(o,n,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],m=i.glyph,h=i.data_source,[p,f]=[m.x.field,m.y.field];for(const e of h.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(h.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(h.data[f][e]+=u);h.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())n.includes(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:i}=e;if(!o.bbox.contains(n,i))return[];const r={type:\"point\",sx:n,sy:i},_=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=[this.plot_view.renderer_views.get(e)];s.select(n,r,!0,t)&&_.push(e),o.properties.selected.change.emit()}return _}}s.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[o.String],custom_tooltip:[o.String],empty_value:[o.Any],renderers:[o.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}s.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(68),o=i.__importStar(e(18)),n=e(332),a=e(287);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.frame,d=n.glyph,l=n.data_source,r=a.xscales[n.x_range_name],h=a.yscales[n.y_range_name],[p,u]=r.r_invert(e,t),[c,m]=h.r_invert(s,i),[f,b]=[(p+u)/2,(c+m)/2],[x,y]=[u-p,m-c],[w,g]=[d.x.field,d.y.field],[v,E]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),w&&l.get_array(w).push(f),g&&l.get_array(g).push(b),v&&l.get_array(v).push(x),E&&l.get_array(E).push(y),this._pad_empty_columns(l,[w,g,v,E]);else{const e=l.data[w].length-1;w&&(l.data[w][e]=f),g&&(l.data[g][e]=b),v&&(l.data[v][e]=x),E&&(l.data[E][e]=y)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(68),_=s.__importStar(e(18)),o=e(8),i=e(332),d=e(287);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(68),a=s.__importStar(e(18)),n=e(332),_=e(287);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(68),a=i.__importStar(e(18)),o=e(8),n=e(337),_=e(287);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,_={};for(const e in i){const s=i[e],[n,a]=s.r_invert(t,o);_[e]={start:n,end:a}}const a={};for(const t in n){const o=n[t],[i,_]=o.r_invert(e,s);a[t]={start:i,end:_}}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n      function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(n<e.start||n>e.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)<i}function d(e,t,s,i,n){let l=!0;if(null!=n.left&&null!=n.right){const t=s.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e<t.end?(t.start=e,s):(t.start=t.end,t.end=e,_(s))}function f(e,t,s,i){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+s,l+s),o=u(e.start,e.end,i);u(a,r,i)>=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return a<d?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function w(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=v,s._line_hit=w;class g extends o.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map}remove(){y.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get 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t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n      function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n      function 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Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under <body>`);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n      function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(361),s=n(72),c=n(358);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const 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h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new 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c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(24);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(362),r=e(8);class 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new Promise((function(n,r){(function(e,o,t,n){Promise.resolve(n).then((function(o){e({value:o,done:t})}),o)})(n,r,(o=e[t](o)).done,o.value)}))}}};const s=e(5),i=e(363),l=e(72),a=e(68),c=e(17),u=e(358),f=e(359),g=n.__importDefault(e(69)),m=n.__importDefault(e(289)),d=n.__importDefault(e(366));function p(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function _(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){l.logger.info(\"Registering Jupyter comms for target \"+e);const t=Jupyter.notebook.kernel.comm_manager;try{t.register_target(e,t=>{l.logger.info(\"Registering Jupyter comms for target \"+e);const n=new i.Receiver;t.on_msg(p.bind(o,n))})}catch(e){l.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. 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t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let i;i=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n      397: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),p=n.__importStar(e(18)),u=e(400);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n      398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n      399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n  margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n  position: relative;\\n  top: -2px;\\n  margin-left: 3px;\\n}\\n'},\n      400: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n      401: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(392),o=t(291);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n      402: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n      403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n      404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;n<i.length;n++){const s=o.input({type:\"checkbox\",value:\"\"+n});s.addEventListener(\"change\",()=>this.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n      405: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n      406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n      407: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(408)),a=e(398),l=e(68),o=n.__importStar(e(18)),r=e(8),d=e(400),c=n.__importDefault(e(409));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 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h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var a=[\"wrap\",\"weekNumbers\",\"allowInput\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e({},g,JSON.parse(JSON.stringify(f.dataset||{}))),o={};h.config.parseDate=i.parseDate,h.config.formatDate=i.formatDate,Object.defineProperty(h.config,\"enable\",{get:function(){return h.config._enable},set:function(e){h.config._enable=ue(e)}}),Object.defineProperty(h.config,\"disable\",{get:function(){return h.config._disable},set:function(e){h.config._disable=ue(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var c=y.defaultConfig.dateFormat||n.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):c+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=y.defaultConfig.altFormat||n.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}i.altInputClass||(h.config.altInputClass=h.input.className+\" \"+h.config.altInputClass),Object.defineProperty(h.config,\"minDate\",{get:function(){return h.config._minDate},set:ae(\"min\")}),Object.defineProperty(h.config,\"maxDate\",{get:function(){return h.config._maxDate},set:ae(\"max\")});var s=function(e){return function(t){h.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=h.parseDate(t,\"H:i:S\")}};Object.defineProperty(h.config,\"minTime\",{get:function(){return h.config._minTime},set:s(\"min\")}),Object.defineProperty(h.config,\"maxTime\",{get:function(){return h.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(h.config.noCalendar=!0,h.config.enableTime=!0),Object.assign(h.config,o,i);for(var u=0;u<a.length;u++)h.config[a[u]]=!0===h.config[a[u]]||\"true\"===h.config[a[u]];for(t.filter((function(e){return void 0!==h.config[e]})).forEach((function(e){h.config[e]=l(h.config[e]||[]).map(C)})),h.isMobile=!h.config.disableMobile&&!h.config.inline&&\"single\"===h.config.mode&&!h.config.disable.length&&!h.config.enable.length&&!h.config.weekNumbers&&/Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent),u=0;u<h.config.plugins.length;u++){var m=h.config.plugins[u](h)||{};for(var p in m)t.indexOf(p)>-1?h.config[p]=l(m[p]).map(C).concat(h.config[p]):void 0===i[p]&&(h.config[p]=m[p])}fe(\"onParseConfig\")}(),ie(),h.input=h.config.wrap?f.querySelector(\"[data-input]\"):f,h.input?(h.input._type=h.input.type,h.input.type=\"text\",h.input.classList.add(\"flatpickr-input\"),h._input=h.input,h.config.altInput&&(h.altInput=d(h.input.nodeName,h.config.altInputClass),h._input=h.altInput,h.altInput.placeholder=h.input.placeholder,h.altInput.disabled=h.input.disabled,h.altInput.required=h.input.required,h.altInput.tabIndex=h.input.tabIndex,h.altInput.type=\"text\",h.input.setAttribute(\"type\",\"hidden\"),!h.config.static&&h.input.parentNode&&h.input.parentNode.insertBefore(h.altInput,h.input.nextSibling)),h.config.allowInput||h._input.setAttribute(\"readonly\",\"readonly\"),h._positionElement=h.config.positionElement||h._input):h.config.errorHandler(new Error(\"Invalid input element specified\")),function(){h.selectedDates=[],h.now=h.parseDate(h.config.now)||new Date;var e=h.config.defaultDate||(\"INPUT\"!==h.input.nodeName&&\"TEXTAREA\"!==h.input.nodeName||!h.input.placeholder||h.input.value!==h.input.placeholder?h.input.value:null);e&&se(e,h.config.dateFormat),h._initialDate=h.selectedDates.length>0?h.selectedDates[0]:h.config.minDate&&h.config.minDate.getTime()>h.now.getTime()?h.config.minDate:h.config.maxDate&&h.config.maxDate.getTime()<h.now.getTime()?h.config.maxDate:h.now,h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth(),h.selectedDates.length>0&&(h.latestSelectedDateObj=h.selectedDates[0]),void 0!==h.config.minTime&&(h.config.minTime=h.parseDate(h.config.minTime,\"H:i\")),void 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e=window.document.createDocumentFragment();if(h.calendarContainer=d(\"div\",\"flatpickr-calendar\"),h.calendarContainer.tabIndex=-1,!h.config.noCalendar){if(e.appendChild((h.monthNav=d(\"div\",\"flatpickr-months\"),h.yearElements=[],h.monthElements=[],h.prevMonthNav=d(\"span\",\"flatpickr-prev-month\"),h.prevMonthNav.innerHTML=h.config.prevArrow,h.nextMonthNav=d(\"span\",\"flatpickr-next-month\"),h.nextMonthNav.innerHTML=h.config.nextArrow,K(),Object.defineProperty(h,\"_hidePrevMonthArrow\",{get:function(){return h.__hidePrevMonthArrow},set:function(e){h.__hidePrevMonthArrow!==e&&(c(h.prevMonthNav,\"flatpickr-disabled\",e),h.__hidePrevMonthArrow=e)}}),Object.defineProperty(h,\"_hideNextMonthArrow\",{get:function(){return 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width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(0, 0, 0, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: transparent;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n      410: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(159)),r=e(411);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n      411: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=i.__importStar(e(412)),r=i.__importStar(e(18)),o=e(68),n=e(9),a=e(393),d=e(413),h=e(400),_=i.__importDefault(e(414)),c=i.__importDefault(e(415));class u extends a.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:e,orientation:t,tooltips:s}=this.model.properties;this.on_change([e,t,s],()=>this.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n      412: function _(t,e,r){\n      /*! nouislider - 14.5.0 - 5/11/2020 */\n      var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function 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.noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical 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n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof 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t.clear=function(){this.element.innerHTML=\"\"},t.append=function(e){this.element.appendChild(e)},t.getChild=function(e){return this.element.querySelector(e)},t.hasChildren=function(){return this.element.hasChildNodes()},t.scrollToTop=function(){this.element.scrollTop=0},t.scrollToChildElement=function(e,t){var i=this;if(e){var n=this.element.offsetHeight,s=this.element.scrollTop+n,r=e.offsetHeight,o=e.offsetTop+r,a=t>0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),n<e&&(s=!0)):(this._scrollUp(n,4,e),n>e&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var he=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&le(t.prototype,i),n&&le(t,n),e}();function ue(e,t){for(var i=0;i<t.length;i++){var 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i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return 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a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=\"text\"===h.type,this._isSelectOneElement=\"select-one\"===h.type,this._isSelectMultipleElement=\"select-multiple\"===h.type,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n      428: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n      429: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(418),i=e(68);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n      430: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(403),n=t(68),u=i.__importStar(t(18)),s=t(146);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n      431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n      432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n      434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n      435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n      436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n      437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n      }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n      })\n\n\n      /* END bokeh-widgets.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-tables.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.1.1\");\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n      439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n      440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n      441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n      442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,l=0;l<e.length;l++)n.push(new r.Range(e[l],0,e[l],o));return n}function w(){return f(i)}function g(e){(i&&0!==i.length||e&&0!==e.length)&&(i=e,c.onSelectedRangesChanged.notify(i))}function v(e,n){l.selectActiveRow&&null!=n.row&&g([new r.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==r.keyCode.UP||e.which==r.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var l,i=o[0],c=o[o.length-1];if((l=e.which==r.keyCode.DOWN?n.row<c||i==c?++c:++i:n.row<c?--c:--i)>=0&&l<t.getDataLength())t.scrollRowIntoView(l),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(i,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var r=f(i),l=o.inArray(n.row,r);if(-1===l&&(e.ctrlKey||e.metaKey))r.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==l&&(e.ctrlKey||e.metaKey))r=o.grep(r,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(r.length&&e.shiftKey){var c=r.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);r=[];for(var a=u;a<=s;a++)a!==c&&r.push(a);r.push(c),t.setActiveCell(n.row,n.cell)}return g(h(r)),e.stopImmediatePropagation(),!0}o.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return i},setSelectedRanges:g,init:function(n){l=o.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},onSelectedRangesChanged:new r.Event})}}},\n      443: function _(e,n,f){n.exports=\"undefined\"!=typeof $?$:e(444)},\n      444: function _(e,t,n){\n      /*!\n           * jQuery JavaScript Library v3.5.0\n           * https://jquery.com/\n           *\n           * Includes Sizzle.js\n           * https://sizzlejs.com/\n           *\n           * Copyright JS Foundation and other contributors\n           * Released under the MIT license\n           * https://jquery.org/license\n           *\n           * Date: 2020-04-10T15:07Z\n           */\n      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e=t.getColumns(),o=0;o<e.length;o++)e[o].id==d.columnId&&(m=o)}return m}()),t.focus()}function b(e,o){if(o.column.id==d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var c=[],n=0;n<t.getDataLength();n++)c.push(n);t.setSelectedRows(c)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}var m=null;function g(){return Math.round(1e7*Math.random())}function k(e,t,o,l,c){var n=g()+e;return c?i[e]?\"<input id='selector\"+n+\"' type='checkbox' checked='checked'><label for='selector\"+n+\"'></label>\":\"<input id='selector\"+n+\"' type='checkbox'><label for='selector\"+n+\"'></label>\":null}l.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,u).subscribe(t.onClick,f).subscribe(t.onKeyDown,h),d.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+o+\"' type='checkbox'><label for='header-filter-selector\"+o+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){b(e,t)})))}))}(e),d.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,b)},destroy:function(){n.unsubscribeAll()},deSelectRows:function(e){var o,c=e.length,n=[];for(o=0;o<c;o++)i[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,c=[];for(o=0;o<l;o++)i[e[o]]||(c[c.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(c))},getColumnDefinition:function(){return{id:d.columnId,name:d.hideSelectAllCheckbox||d.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",toolTip:d.toolTip,field:\"sel\",width:d.width,resizable:!1,sortable:!1,cssClass:d.cssClass,hideSelectAllCheckbox:d.hideSelectAllCheckbox,formatter:k}},getOptions:function(){return d},setOptions:function(e){if((d=l.extend(!0,{},d,e)).hideSelectAllCheckbox)a(),s();else if(d.hideInColumnTitleRow?a():(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip),n.subscribe(t.onHeaderClick,b)),d.hideInFilterHeaderRow)s();else{var c=l(\"#filter-checkbox-selectall-container\");c.show(),c.find('input[type=\"checkbox\"]').prop(\"checked\",r)}}})}}},\n      447: function _(e,t,o){var l=e(443),n=e(445),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!=(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(\"\"==D&&i.includeHeaderWhenCopying){for(var V=[],E=y.fromCell;E<y.toCell+1;E++)s[E].name.length>0&&V.push(C(s[E]));D.push(V.join(\"\\t\"))}for(E=y.fromCell;E<y.toCell+1;E++)R.push(m(x,s[E],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"==l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!=l[s]?n[a++]=l[s].split(\"\\t\"):n[s]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var V={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(V):V.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n      448: function _(r,t,o){var _=r(1);_.__exportStar(r(445),t.exports),_.__exportStar(r(449),t.exports),_.__exportStar(r(452),t.exports),_.__exportStar(r(453),t.exports),_.__exportStar(r(454),t.exports),_.__exportStar(r(455),t.exports),_.__exportStar(r(456),t.exports)},\n      449: function _(require,module,exports){\n      /**\n           * @license\n           * (c) 2009-2016 Michael Leibman\n           * michael{dot}leibman{at}gmail{dot}com\n           * http://github.com/mleibman/slickgrid\n           *\n           * Distributed under MIT license.\n           * All rights reserved.\n           *\n           * SlickGrid v2.3\n           *\n           * NOTES:\n           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n           *     and do proper cleanup.\n           */\n      var $=require(443),Slick=require(445),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(450),$.fn.drop||require(451);var defaults={alwaysShowVerticalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacer,$footerRow,$footerRowScroller,$footerRowSpacer,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,tabbingDirection=1,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,columnsById={};for(var e=0;e<columns.length;e++){var o=columns[e]=$.extend({},columnDefaults,columns[e]);columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth)}if(options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($container),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),options.showPreHeaderPanel||$preHeaderPanelScroller.hide()),$headerScroller=$(\"<div class='slick-header ui-state-default' />\").appendTo($container),$headers=$(\"<div class='slick-header-columns' style='left:-1000px' />\").appendTo($headerScroller),$headerRowScroller=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($container),$headerRow=$(\"<div class='slick-headerrow-columns' />\").appendTo($headerRowScroller),$headerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScroller),$topPanelScroller=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($container),$topPanel=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScroller),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),($viewport=$(\"<div class='slick-viewport' style='width:100%;overflow:auto;outline:0;position:relative;;'>\").appendTo($container)).css(\"overflow-y\",options.alwaysShowVerticalScroll?\"scroll\":options.autoHeight?\"hidden\":\"auto\"),$viewport.css(\"overflow-x\",options.forceFitColumns?\"hidden\":\"auto\"),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$(\"<div class='grid-canvas' />\").appendTo($viewport),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScroller=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($container),$footerRow=$(\"<div class='slick-footerrow-columns' />\").appendTo($footerRowScroller),$footerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScroller),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,viewportW=parseFloat($.css($container[0],\"width\",!0)),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),updateColumnCaches(),createColumnHeaders(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&$footerRowScroller.on(\"scroll\",handleFooterRowScroll),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),navigator.userAgent.toLowerCase().match(/webkit/)&&navigator.userAgent.toLowerCase().match(/macintosh/)&&$canvas.on(\"mousewheel\",handleMouseWheel),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(){return $canvas[0]}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo($viewport),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getColumnTotalWidth(e){for(var o=0,t=0,l=columns.length;t<l;t++){o+=columns[t].width}return e&&(o+=scrollbarDimensions.width),o}function getHeadersWidth(){var e=getColumnTotalWidth(!options.autoHeight);return Math.max(e,viewportW)+1e3}function getCanvasWidth(){for(var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=0,t=columns.length;t--;)o+=columns[t].width;return options.fullWidthRows?Math.max(o,e):o}function updateCanvasWidth(e){var o=canvasWidth;(canvasWidth=getCanvasWidth())!=o&&($canvas.width(canvasWidth),$headerRow.width(canvasWidth),options.createFooterRow&&$footerRow.width(canvasWidth),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$headers.width(getHeadersWidth()),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width);var t=canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0);$headerRowSpacer.width(t),options.createFooterRow&&$footerRowSpacer.width(t),options.createPreHeaderPanel&&$preHeaderPanelSpacer.width(t),(canvasWidth!=o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var l=2*e;if(t.css(\"height\",l),l>o||t.height()!==l)break;e=l}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=$canvas[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewport[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var l=getColumnIndex(e);if(null!=l){var n=columns[l],r=$headers.children().eq(l);r&&(void 0!==o&&(columns[l].name=o),void 0!==t&&(columns[l].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:n,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:n,grid:self}))}}}function getHeader(){return $headers[0]}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headers.children().eq(o);return t&&t[0]}function getHeaderRow(){return $headerRow[0]}function getFooterRow(){return $footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getHeaderRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headerRow.children().eq(o);return t&&t[0]}function getFooterRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$footerRow.children().eq(o);return t&&t[0]}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headers.empty(),$headers.width(getHeadersWidth()),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRow.empty(),options.createFooterRow&&($footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e})})),$footerRow.empty());for(var t=0;t<columns.length;t++){var l=columns[t],n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+l.name+\"</span>\").width(l.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+l.id).attr(\"title\",l.toolTip||\"\").data(\"column\",l).addClass(l.headerCssClass||\"\").appendTo($headers);if((options.enableColumnReorder||l.sortable)&&n.on(\"mouseenter\",e).on(\"mouseleave\",o),l.sortable&&(n.addClass(\"slick-header-sortable\"),n.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&n.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:n[0],column:l,grid:self}),options.showHeaderRow){var r=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($headerRow);trigger(self.onHeaderRowCellRendered,{node:r[0],column:l,grid:self})}if(options.createFooterRow&&options.showFooterRow){var i=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:i[0],column:l})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var l=null,n=0;n<sortColumns.length;n++)if(sortColumns[n].columnId==t.id){(l=sortColumns[n]).sortAsc=!l.sortAsc;break}var r=!!l;options.tristateMultiColumnSort?(l||(l={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&l.sortAsc&&(sortColumns.splice(n,1),l=null),options.multiColumnSort||(sortColumns=[]),!l||r&&options.multiColumnSort||sortColumns.push(l)):e.metaKey&&options.multiColumnSort?l&&sortColumns.splice(n,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),l?0==sortColumns.length&&sortColumns.push(l):(l={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(l))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\"),$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(e,o){o.placeholder.width(o.helper.outerWidth()-headerColumnWidthDiff),$(o.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},stop:function(e){if(getEditorLock().commitCurrentEdit()){for(var o=$headers.sortable(\"toArray\"),t=[],l=0;l<o.length;l++)t.push(columns[getColumnIndex(o[l].replace(uid,\"\"))]);setColumns(t),trigger(self.onColumnsReordered,{}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function setupColumnResize(){var e,o,t,l,n,r,i,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===i&&(i=e),s=e)})),void 0!==i&&l.each((function(a,c){a>=columns.length||a<i||options.forceFitColumns&&a>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(i,s){if(!getEditorLock().commitCurrentEdit())return!1;t=i.pageX,$(this).parent().addClass(\"slick-header-column-active\");var c=null,d=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(c=0,d=0,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(null!==d&&(o.maxWidth?d+=o.maxWidth-o.previousWidth:d=null),c+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=a;e++)(o=columns[e]).resizable&&(null!==h&&(o.maxWidth?h+=o.maxWidth-o.previousWidth:h=null),u+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));null===c&&(c=1e5),null===u&&(u=1e5),null===d&&(d=1e5),null===h&&(h=1e5),r=t+Math.min(c,h),n=t-Math.min(u,d)})).on(\"drag\",(function(l,i){columnResizeDragging=!0;var s,c,d=Math.min(r,Math.max(n,l.pageX))-t;if(d<0){for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0))}else{for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0))}applyColumnHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths()})).on(\"dragend\",(function(t,n){var r;for($(this).parent().removeClass(\"slick-header-column-active\"),e=0;e<columns.length;e++)o=columns[e],r=$(l[e]).outerWidth(),o.previousWidth!==r&&o.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return $.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,l){o+=parseFloat(e.css(l))||0})),o}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],l=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==l[0]&&l[1]>=8||l[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var n=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(n),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),n.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var l,n,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(l=/\\.l\\d+/.exec(i))?(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesL[n]=r[o]):(l=/\\.r\\d+/.exec(i))&&(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesR[n]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function autosizeColumns(){var e,o,t,l=[],n=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],l.push(o.width),r+=o.width,o.resizable&&(n+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&n;){var s=(r-i)/n;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var a=l[e];if(!(!o.resizable||a<=o.minWidth||a<=absoluteColumnMinWidth)){var c=Math.max(o.minWidth,absoluteColumnMinWidth),d=Math.floor(s*(a-c))||1;r-=d=Math.min(d,a-c),n-=d,l[e]-=d}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=l[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,l[e]+=r<=i?h:0}if(t>=r)break;t=r}var g=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=l[e]&&(g=!0),columns[e].width=l[e];applyColumnHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),g&&(invalidateAllRows(),render())}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),l=columns.length;o<l;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,l=0;l<columns.length;l++)e=columns[l].width,(o=getColumnCssRules(l)).left.style.left=t+\"px\",o.right.style.right=canvasWidth-t-e+\"px\",t+=columns[l].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,l){null==l.sortAsc&&(l.sortAsc=!0);var n=getColumnIndex(l.columnId);null!=n&&(t.eq(n).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(l.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(n).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){selectedRows=[];for(var t={},l=0;l<o.length;l++)for(var n=o[l].fromRow;n<=o[l].toRow;n++){t[n]||(selectedRows.push(n),t[n]={});for(var r=o[l].fromCell;r<=o[l].toCell;r++)canCellBeSelected(n,r)&&(t[n][columns[r].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,t),trigger(self.onSelectedRowsChanged,{rows:getSelectedRows()},e)}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,e+=columns[o].width}function setColumns(e){columns=e,columnsById={};for(var o=0;o<columns.length;o++){var t=columns[o]=$.extend({},columnDefaults,columns[o]);columnsById[t.id]=o,t.minWidth&&t.width<t.minWidth&&(t.width=t.minWidth),t.maxWidth&&t.width>t.maxWidth&&(t.width=t.maxWidth)}updateColumnCaches(),initialized&&(invalidateAllRows(),createColumnHeaders(),removeCssRules(),createCssRules(),resizeCanvas(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){getEditorLock().commitCurrentEdit()&&(makeActiveCellNormal(),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength()),options=$.extend(options,e),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render())}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1)}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data.length}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e){options.showTopPanel!=e&&(options.showTopPanel=e,e?$topPanelScroller.slideDown(\"fast\",resizeCanvas):$topPanelScroller.slideUp(\"fast\",resizeCanvas))}function setHeaderRowVisibility(e){options.showHeaderRow!=e&&(options.showHeaderRow=e,e?$headerRowScroller.slideDown(\"fast\",resizeCanvas):$headerRowScroller.slideUp(\"fast\",resizeCanvas))}function setFooterRowVisibility(e){options.showFooterRow!=e&&(options.showFooterRow=e,e?$footerRowScroller.slideDown(\"fast\",resizeCanvas):$footerRowScroller.slideUp(\"fast\",resizeCanvas))}function setPreHeaderPanelVisibility(e){options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,$viewport[0].scrollTop=lastRenderedScrollTop=scrollTop=prevScrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,l,n,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),l=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return l&&l.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function getEditor(e,o){var t=columns[o],l=data.getItemMetadata&&data.getItemMetadata(e),n=l&&l.columns;return n&&n[t.id]&&void 0!==n[t.id].editor?n[t.id].editor:n&&n[o]&&void 0!==n[o].editor?n[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,l){var n=getDataItem(o),r=\"slick-row\"+(o<l&&!n?\" loading\":\"\")+(o===activeRow&&options.showCellSelection?\" active\":\"\")+(o%2==1?\" odd\":\" even\");n||(r+=\" \"+options.addNewRowCssClass);var i,s,a=data.getItemMetadata&&data.getItemMetadata(o);a&&a.cssClasses&&(r+=\" \"+a.cssClasses),e.push(\"<div class='ui-widget-content \"+r+\"' style='top:\"+getRowTop(o)+\"px'>\");for(var c=0,d=columns.length;c<d;c++){if(s=columns[c],i=1,a&&a.columns){var u=a.columns[s.id]||a.columns[c];\"*\"===(i=u&&u.colspan||1)&&(i=d-c)}if(columnPosRight[Math.min(d-1,c+i-1)]>t.leftPx){if(columnPosLeft[c]>t.rightPx)break;appendCellHtml(e,o,c,i,n)}i>1&&(c+=i-1)}e.push(\"</div>\")}function appendCellHtml(e,o,t,l,n){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+l-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var s in o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[s][o]&&cellCssClasses[s][o][r.id]&&(i+=\" \"+cellCssClasses[s][o][r.id]);var a=null,c=\"\";n&&(a=getDataItemValueForColumn(n,r),null==(c=getFormatter(o,r)(o,t,a,r,n,self))&&(c=\"\"));var d=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:a,dataContext:n})||\"\";d+=c&&c.addClasses?(d?\" \":\"\")+c.addClasses:\"\",e.push(\"<div class='\"+i+(d?\" \"+d:\"\")+\"'>\"),n&&e.push(\"[object Object]\"!==Object.prototype.toString.call(c)?c:c.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=l}function cleanupRows(e){for(var o in rowsCache)(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&removeRowFromCache(o);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var l in postProcessgroupId++,o)o.hasOwnProperty(l)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|l],columnIdx:0|l,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(o.rowNode&&(rowNodeFromLastMouseWheelEvent===o.rowNode?(o.rowNode.style.display=\"none\",zombieRowNodeFromLastMouseWheelEvent=rowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent=o,zombieRowPostProcessedFromLastMouseWheelEvent=postProcessedRows[e]):options.enableAsyncPostRenderCleanup&&postProcessedRows[e]?queuePostProcessedRowForCleanup(o,postProcessedRows[e],e):$canvas[0].removeChild(o.rowNode)),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var l=columns[o],n=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(n);else applyFormatResultToCellNode(n?getFormatter(e,l)(e,o,getDataItemValueForColumn(n,l),l,n,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var l in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=o.cellNodesByColumnIdx[l];e===activeRow&&l===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,n)(e,l,getDataItemValueForColumn(t,n),n,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){return parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-parseFloat($.css($headerScroller[0],\"height\"))-getVBoxDelta($headerScroller)-(options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0)-(options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0)-(options.createFooterRow&&options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0)-(options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0)}function resizeCanvas(){initialized&&(viewportH=options.autoHeight?options.rowHeight*getDataLengthIncludingAddNew():getViewportHeight(),numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportW=parseFloat($.css($container[0],\"width\",!0)),options.autoHeight||$viewport.height(viewportH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.forceFitColumns&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render())}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew()+(options.leaveSpaceForNewRows?numVisibleRows-1:0),t=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&o*options.rowHeight>viewportH,viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width,makeActiveCellNormal();var l=e-1;for(var r in rowsCache)r>l&&removeRowFromCache(r);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>l&&resetActiveCell();var i=h;(th=Math.max(options.rowHeight*o,viewportH-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==i&&($canvas.css(\"height\",h),scrollTop=$viewport[0].scrollTop);var s=scrollTop+offset<=th-viewportH;0==th||0==scrollTop?page=offset=0:scrollTo(s?scrollTop+offset:th-viewportH),h!=i&&options.autoHeight&&resizeCanvas(),options.forceFitColumns&&t!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),l=Math.round(viewportH/options.rowHeight),n=options.minRowBuffer;return-1==vScrollDir?(t.top-=l,t.bottom+=n):1==vScrollDir?(t.top-=n,t.bottom+=l):(t.top-=n,t.bottom+=n),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.lastChild;o.cellRenderQueue.length;){var l=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[l]=t,t=t.previousSibling}}function cleanUpCells(e,o){var t,l,n=rowsCache[o],r=[];for(var i in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(i)){i|=0;var s=n.cellColSpans[i];(columnPosLeft[i]>e.rightPx||columnPosRight[Math.min(columns.length-1,i+s-1)]<e.leftPx)&&(o==activeRow&&i==activeCell||r.push(i))}for(postProcessgroupId++;null!=(t=r.pop());)l=n.cellNodesByColumnIdx[t],options.enableAsyncPostRenderCleanup&&postProcessedRows[o]&&postProcessedRows[o][t]?queuePostProcessedCellForCleanup(l,t,o):n.rowNode.removeChild(l),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}function cleanUpAndRenderCells(e){for(var o,t,l,n=[],r=[],i=e.top,s=e.bottom;i<=s;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var a=data.getItemMetadata&&data.getItemMetadata(i);a=a&&a.columns;for(var c=getDataItem(i),d=0,u=columns.length;d<u&&!(columnPosLeft[d]>e.rightPx);d++)if(null==(l=o.cellColSpans[d])){if(l=1,a){var h=a[columns[d].id]||a[d];\"*\"===(l=h&&h.colspan||1)&&(l=u-d)}columnPosRight[Math.min(u-1,d+l-1)]>e.leftPx&&(appendCellHtml(n,i,d,l,c),t++),d+=l>1?l-1:0}else d+=l>1?l-1:0;t&&(t,r.push(i))}if(n.length){var p,g,m=document.createElement(\"div\");for(m.innerHTML=n.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)g=m.lastChild,o.rowNode.appendChild(g),o.cellNodesByColumnIdx[v]=g}}}function renderRows(e){for(var o=$canvas[0],t=[],l=[],n=!1,r=getDataLength(),i=e.top,s=e.bottom;i<=s;i++)rowsCache[i]||(renderedRows++,l.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(t,i,e,r),activeCellNode&&activeRow===i&&(n=!0),counter_rows_rendered++);if(l.length){var a=document.createElement(\"div\");a.innerHTML=t.join(\"\");for(i=0,s=l.length;i<s;i++)rowsCache[l[i]].rowNode=o.appendChild(a.firstChild);n&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache)rowsCache[e].rowNode.style.top=getRowTop(e)+\"px\"}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();cleanupRows(o),lastRenderedScrollLeft!=scrollLeft&&cleanUpAndRenderCells(o),renderRows(o),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScroller[0])}function handleHeaderRowScroll(){handleElementScroll($headerRowScroller[0])}function handleFooterRowScroll(){handleElementScroll($footerRowScroller[0])}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewport[0].scrollLeft&&($viewport[0].scrollLeft=o)}function handleScroll(){scrollTop=$viewport[0].scrollTop,scrollLeft=$viewport[0].scrollLeft;var e=Math.abs(scrollTop-prevScrollTop),o=Math.abs(scrollLeft-prevScrollLeft);if(o&&(prevScrollLeft=scrollLeft,$headerScroller[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScroller[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScroller[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&($preHeaderPanelScroller[0].scrollLeft=scrollLeft)),e)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e<viewportH)scrollTo(scrollTop+offset);else{var t=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),t!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(o||e){var l=Math.abs(lastRenderedScrollLeft-scrollLeft),r=Math.abs(lastRenderedScrollTop-scrollTop);(l>20||r>20)&&(options.forceSyncScrolling||r<viewportH&&l<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}trigger(self.onScroll,{scrollLeft,scrollTop})}function ActionThrottle(e,o){var t=!1,l=!1;function n(){l=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){l?(n(),r()):t=!1}return{enqueue:function(){t?l=!0:r()},dequeue:n}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var l in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=postProcessedRows[o][l];if(n.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[l];i&&n.asyncPostRender(i,o,getDataItem(o),n,\"C\"===r),postProcessedRows[o][l]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,l,n,r;for(var i in rowsCache){if(r=o&&o[i],n=e&&e[i],r)for(l in r)n&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).removeClass(r[l]);if(n)for(l in n)r&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).addClass(n[l])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){if(t=t||100,rowsCache[e]){var l=$(getCellNode(e,o)),n=function(e){e&&setTimeout((function(){l.queue((function(){l.toggleClass(options.cellFlashingCssClass).dequeue(),n(e-1)}))}),t)};n(4)}}function handleMouseWheel(e){var o=$(e.target).closest(\".slick-row\")[0];o!=rowNodeFromLastMouseWheelEvent&&(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent!=o&&(options.enableAsyncPostRenderCleanup&&zombieRowPostProcessedFromLastMouseWheelEvent?queuePostProcessedRowForCleanup(zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent):$canvas[0].removeChild(zombieRowNodeFromLastMouseWheelEvent),zombieRowNodeFromLastMouseWheelEvent=null,zombieRowCacheFromLastMouseWheelEvent=null,zombieRowPostProcessedFromLastMouseWheelEvent=null,options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()),rowNodeFromLastMouseWheelEvent=o)}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,l=columns[o.cell],n=!!(options.editable&&l&&l.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,n,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),l=0,n=0,r=0;r<columns.length&&n<e;r++)n+=columns[r].width,l++;return l<0&&(l=0),{row:t,cell:l-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)if(rowsCache[o].rowNode===e)return 0|o;return null}function getCellFromEvent(e){var o=$(e.target).closest(\".slick-cell\",$canvas);if(!o.length)return null;var t=getRowFromNode(o[0].parentNode),l=getCellFromNode(o[0]);return null==t||null==l?null:{row:t,cell:l}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getRowTop(e),l=t+options.rowHeight-1,n=0,r=0;r<o;r++)n+=columns[r].width;return{top:t,left:n,bottom:l,right:n+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){scrollRowIntoView(e,t);var l=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(l>1?l-1:0)])}function internalScrollColumnIntoView(e,o){var t=scrollLeft+viewportW;e<scrollLeft?($viewport.scrollLeft(e),handleScroll(),render()):o>t&&($viewport.scrollLeft(Math.min(e,o-$viewport[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,l,n){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));null!=(activeCellNode=e)?(activeRow=getRowFromNode(activeCellNode.parentNode),activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&($(activeCellNode).addClass(\"active\"),$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,n)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,n))):activeRow=activeCell=null,l||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var l=columns[activeCell],n=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:n,column:l})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\"),currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:l,item:n||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),n&&(currentEditor.loadValue(n),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){var t=e*options.rowHeight,l=(e+1)*options.rowHeight-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0);(e+1)*options.rowHeight>scrollTop+viewportH+offset?(scrollTo(o?t:l),render()):e*options.rowHeight<scrollTop+offset&&(scrollTo(o?l:t),render())}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,l=getDataLengthIncludingAddNew();t>=l&&(t=l-1),t<0&&(t=0);for(var n=0,r=null,i=activePosX;n<=activePosX;)canCellBeActive(t,n)&&(r=n),n+=getColspan(t,n);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,l=null,n=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(l=t),t+=getColspan(e,t);null!==l?(setActiveCellInternal(getCellNode(e,l)),activePosX=n):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var l=t.columns[columns[o].id]||t.columns[o],n=l&&l.colspan;return n=\"*\"===n?columns.length-o:n||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var l=findFirstFocusableCell(e);if(null===l||l>=o)return null;for(var n,r={row:e,cell:l,posX:l};;){if(!(n=gotoRight(r.row,r.cell,r.posX)))return null;if(n.cell>=o)return r;r=n}}function gotoDown(e,o,t){for(var l,n=getDataLengthIncludingAddNew();;){if(++e>=n)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoUp(e,o,t){for(var l;;){if(--e<0)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var l=gotoRight(e,o,t);if(l)return l;var n=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(n=findFirstFocusableCell(e)))return{row:e,cell:n,posX:n};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var l,n;!l&&!(l=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(n=findLastFocusableCell(e))&&(l={row:e,cell:n,posX:n})}return l}function gotoRowStart(e,o,t){var l=findFirstFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function gotoRowEnd(e,o,t){var l=findLastFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){var t=o.row==getDataLength();return scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){return rowsCache[e]?(ensureCellNodesInRowsCache(e),rowsCache[e].cellNodesByColumnIdx[o]):null}function setActiveCell(e,o,t,l,n){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,l,n)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var l=t&&t.columns;return l&&l[columns[o].id]&&void 0!==l[columns[o].id].focusable?!!l[columns[o].id].focusable:l&&l[o]&&void 0!==l[o].focusable?!!l[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var l=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return l&&void 0!==l.selectable?!!l.selectable:!!columns[o].selectable}function gotoCell(e,o,t,l){initialized&&(canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t||e===getDataLength()||options.autoEdit,null,options.editable,l),currentEditor||setFocus()))}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var l={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,l)):(l.execute(),makeActiveCellNormal())}else{var n={};currentEditor.applyValue(n,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:n,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,l=0;l<e.length;l++)o.push(new Slick.Range(e[l],0,e[l],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.3.23\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsResized:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,registerPlugin,unregisterPlugin,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n      450: function _(t,e,a){\n      /*!\n           * jquery.event.drag - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(443);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)&&!n(t.target).is(a.not)&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n      451: function _(t,e,a){\n      /*!\n           * jquery.event.drop - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(443);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.offset()||{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var 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i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function a(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===n.ui.keyCode.LEFT&&t>0||e.keyCode===n.ui.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function s(e){e.keyCode!==n.ui.keyCode.LEFT&&e.keyCode!==n.ui.keyCode.RIGHT||e.stopImmediatePropagation()}l.DefaultDecimalPlaces=null,l.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:l,Date:function(e){var t,i,o=!1;this.init=function(){(t=n(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){o=!0},onClose:function(){o=!1}}),t.width(t.width()-18)},this.destroy=function(){n.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){o&&n.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){o&&n.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){o&&n.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==n.ui.keyCode.LEFT||t.which==n.ui.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,l=this.value.length;t.keyCode===n.ui.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===n.ui.keyCode.RIGHT&&i>=l-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n      454: function _(e,n,r){e(445);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n      455: function _(t,o,r){var e=t(443),n=t(445);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n      456: function _(e,s,t){var a=e(443),o=e(445);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(s,t,a,o,l,c){if(!e.enableExpandCollapse)return l.title;var r=15*l.level+\"px\";return(e.checkboxSelect?'<span class=\"'+e.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+e.toggleCssClass+\" \"+(l.collapsed?e.toggleCollapsedCssClass:e.toggleExpandedCssClass)+\"' style='margin-left:\"+r+\"'></span><span class='\"+e.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,a,o,l){return a.groupTotalsFormatter&&a.groupTotalsFormatter(o,a,l)||\"\"}};function l(t,l){var c=a(t.target),r=this.getDataItem(l.row);if(r&&r instanceof o.Group&&c.hasClass(e.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}if(r&&r instanceof o.Group&&c.hasClass(e.checkboxSelectCssClass)){r.selectChecked=!r.selectChecked,c.removeClass(r.selectChecked?\"unchecked\":\"checked\"),c.addClass(r.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(r.rows);(r.selectChecked?e.checkboxSelectPlugin.selectRows:e.checkboxSelectPlugin.deSelectRows)(i)}}function c(t,a){if(e.enableExpandCollapse&&t.which==o.keyCode.SPACE){var l=this.getActiveCell();if(l){var c=this.getDataItem(l.row);if(c&&c instanceof o.Group){var r=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:r.top,ignoreDiffsAfter:r.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}}}}return e=a.extend(!0,{},t,e),{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(s){return{selectable:!1,focusable:e.groupFocusable,cssClasses:e.groupCssClass,columns:{0:{colspan:\"*\",formatter:e.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(s){return{selectable:!1,focusable:e.totalsFocusable,cssClasses:e.totalsCssClass,formatter:e.totalsFormatter,editor:null}}}}}},\n      457: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(458),c=e(98),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n      459: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n      460: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  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border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  background-image: 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o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n      465: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(462),n=t(440),l=r.__importStar(t(18)),a=t(24),d=t(71);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n      466: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(448),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(71);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n      467: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(68),i=t(448),a=t(441),n=t(71);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups(this.view.indices),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,forceFitColumns:this.model.fit_columns,multiColumnSort:!1,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n      }, 438, {\"models/widgets/tables/main\":438,\"models/widgets/tables/index\":439,\"models/widgets/tables/cell_editors\":440,\"models/widgets/tables/data_table\":441,\"models/widgets/tables/table_widget\":457,\"models/widgets/widget\":458,\"styles/widgets/tables\":459,\"styles/widgets/slickgrid.css\":460,\"styles/widgets/tables.css\":461,\"models/widgets/tables/cell_formatters\":462,\"models/widgets/tables/table_column\":465,\"models/widgets/tables/row_aggregators\":466,\"models/widgets/tables/data_cube\":467}, {});\n      })\n\n\n      /* END bokeh-tables.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-gl.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.1.1\");\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      370: function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(371)},\n      371: function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);\n      /*\n          Copyright notice: many of the awesome techniques and  GLSL code contained in\n          this module are based on work by Nicolas Rougier as part of the Glumpy and\n          Vispy projects. The algorithms are published in\n          http://jcgt.org/published/0003/04/01/ and http://jcgt.org/published/0002/02/08/\n          \n          This module contains all gl-specific code to add gl support for the glyphs.\n          By implementing it separetely, the GL functionality can be spun off in a\n          separate library.\n          Other locations where we work with GL, or prepare for GL-rendering:\n          - canvas.ts\n          - plot.ts\n          - glyph.ts\n          - glyph_renderer.ts\n          */o.__exportStar(e(372),_),o.__exportStar(e(377),_)},\n      372: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(373),a=t(374),n=t(375),_=t(376),o=t(20);class h{constructor(t){this._atlas={},this._index=0,this._width=256,this._height=256,this.tex=new i.Texture2D(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._height,this._width],t.RGBA),this.tex.set_data([0,0],[this._height,this._width],new Uint8Array(this._height*this._width*4)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");if(void 0===this._atlas[e]){const[s,i]=this.make_pattern(t);this.tex.set_data([this._index,0],[1,this._width],new Uint8Array(s.map(t=>t+10))),this._atlas[e]=[this._index/this._height,i],this._index+=1}return this._atlas[e]}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,_,o;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(o=h<=s[r]?1:0,_=s[r],i=s[r+1]):(o=h>s[r]?-1:0,_=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=o,n[4*t+2]=_,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=_.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed){if(!isFinite(s.dx)||!isFinite(s.dy))return;i._baked_offset=[s.dx,s.dy],i._set_data(),i.data_changed=!1}this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);let{sx:a,sy:n}=s;const _=Math.sqrt(a*a+n*n);a/=_,n/=_,Math.abs(this._scale_aspect-n/a)>Math.abs(.001*this._scale_aspect)&&(i._update_scale(a,n),this._scale_aspect=n/a),this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex);const o=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[s.dx-o[0],s.dy-o[1]]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[a,n]),this.prog.set_uniform(\"u_scale_length\",\"float\",[_]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=o.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,_,o;const h=this.nvertices,r=new Float64Array(this.glyph._x),l=new Float64Array(this.glyph._y),g=_=new Float32Array(2*h),f=new Float32Array(2*h),u=o=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t]+this._baked_offset[0],g[2*t+1]=l[t]+this._baked_offset[1];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=_[2*(t+1)+0]-_[2*t+0],e[2*t+1]=_[2*(t+1)+1]-_[2*t+1];for(let t=0,s=h-1;t<s;t++)u[4*(t+1)+0]=e[2*t+0],u[4*(t+1)+1]=e[2*t+1],u[4*t+2]=e[2*t+0],u[4*t+3]=e[2*t+1];u[0]=e[0],u[1]=e[1],u[4*(h-1)+2]=e[2*(h-2)+0],u[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(o[4*t+0]*o[4*t+3]-o[4*t+1]*o[4*t+2],o[4*t+0]*o[4*t+2]+o[4*t+1]*o[4*t+3]);for(let t=0,e=h-1;t<e;t++)f[2*t+0]=c[t],f[2*t+1]=c[t+1];const d=4*h-4;this.V_position=i=new Float32Array(2*d),this.V_angles=s=new Float32Array(2*d),this.V_tangents=a=new Float32Array(4*d),this.V_texcoord=n=new Float32Array(2*d);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=f[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=u[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const p=6*(h-1);this.I_triangles=t=new Uint32Array(p);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,_=new Float32Array(i-1),o=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)_[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=_[t],o[2*(t+1)+0]=h,o[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=o[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGLGlyph=g,g.__name__=\"LineGLGlyph\"},\n      373: function _(t,e,r){var n,o,i,a,s,l,h,u,c,_=function(t,e){return Array.isArray(t)&&Array.isArray(e)?t.concat(e):t+e},f=function(t,e){if(null==e);else{if(Array.isArray(e)){for(var r=0;r<e.length;r++)if(p(t,e[r]))return!0;return!1}if(e.constructor===Object){for(var n in e)if(t==n)return!0;return!1}if(e.constructor==String)return e.indexOf(t)>=0}var o=Error(\"Not a container: \"+e);throw o.name=\"TypeError\",o},p=function t(e,r){if(null==e||null==r);else{if(Array.isArray(e)&&Array.isArray(r)){for(var n=0,o=e.length==r.length;o&&n<e.length;)o=t(e[n],r[n]),n+=1;return o}if(e.constructor===Object&&r.constructor===Object){var i=Object.keys(e),a=Object.keys(r);i.sort(),a.sort();var s;for(n=0,o=t(i,a);o&&n<i.length;)o=t(e[s=i[n]],r[s]),n+=1;return o}}return e==r},d=function(t,e){if(void 0===t||\"undefined\"!=typeof window&&window===t||\"undefined\"!=typeof global&&global===t)throw\"Class constructor is called as a function.\";for(var r in t)void 0!==Object[r]||\"function\"!=typeof t[r]||t[r].nobind||(t[r]=t[r].bind(t));t.__init__&&t.__init__.apply(t,e)},y=function(t,e){if((\"number\"==typeof t)+(\"number\"==typeof e)===1){if(t.constructor===String)return A.call(t,e);if(e.constructor===String)return A.call(e,t);if(Array.isArray(e)){var r=t;t=e,e=r}if(Array.isArray(t)){for(var n=[],o=0;o<e;o++)n=n.concat(t);return n}}return t*e},g=function(t){return null===t||\"object\"!=typeof t?t:void 0!==t.length?!!t.length&&t:void 0!==t.byteLength?!!t.byteLength&&t:t.constructor!==Object||!!Object.getOwnPropertyNames(t).length&&t},v=function(t){if(!Array.isArray(this))return this.append.apply(this,arguments);this.push(t)},m=function(t,e){return this.constructor!==Object?this.get.apply(this,arguments):void 0!==this[t]?this[t]:void 0!==e?e:null},x=function(){return\"function\"==typeof this.keys?this.keys.apply(this,arguments):Object.keys(this)},b=function(t){if(this.constructor!==String)return this.lstrip.apply(this,arguments);t=void 0===t?\" \\t\\r\\n\":t;for(var e=0;e<this.length;e++)if(t.indexOf(this[e])<0)return this.slice(e);return\"\"},E=function(t){if(!Array.isArray(this))return this.remove.apply(this,arguments);for(var e=0;e<this.length;e++)if(p(this[e],t))return void this.splice(e,1);var r=Error(t);throw r.name=\"ValueError\",r},A=function(t){if(this.repeat)return this.repeat(t);if(t<1)return\"\";for(var e=\"\",r=this.valueOf();t>1;)1&t&&(e+=r),t>>=1,r+=r;return e+r},w=function(t){return this.constructor!==String?this.startswith.apply(this,arguments):0==this.indexOf(t)};c=window.console,u=function(t,e){var r,n,o,i,a,s,l;for(e=void 0===e?\"periodic check\":e,i=[];n=t.getError(),!(p(n,t.NO_ERROR)||g(i)&&p(n,i[i.length-1]));)v.call(i,n);if(i.length){for(a=\"\",\"object\"!=typeof(s=i)||Array.isArray(s)||(s=Object.keys(s)),l=0;l<s.length;l+=1)r=s[l],a=_(a,r);throw(o=new Error(\"RuntimeError:OpenGL got errors (\"+e+\"): \"+a)).name=\"RuntimeError\",o}return null},(o=function(){d(this,arguments)}).prototype._base_class=Object,o.prototype._class_name=\"GlooObject\",o.prototype.__init__=function(t){if(this._gl=t,this.handle=null,this._create(),null===this.handle)throw\"AssertionError: this.handle !== null\";return null},o.prototype._create=function(){var t;throw(t=new Error(\"NotImplementedError:\")).name=\"NotImplementedError\",t},((a=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,a.prototype._class_name=\"Program\",a.prototype.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},a.prototype.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},a.prototype.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},a.prototype._create=function(){return this.handle=this._gl.createProgram(),this.locations={},this._unset_variables=[],this._validated=!1,this._samplers={},this._attributes={},this._known_invalid=[],null},a.prototype.delete=function(){return this._gl.deleteProgram(this.handle),null},a.prototype.activate=function(){return this._gl.useProgram(this.handle),null},a.prototype.deactivate=function(){return this._gl.useProgram(0),null},a.prototype.set_shaders=function(t,e){var r,n,o,i,a,s,l,h,u,c,f,p,d;for(s=this._gl,this._linked=!1,f=[[t,d=s.createShader(s.VERTEX_SHADER),\"vertex\"],[e,a=s.createShader(s.FRAGMENT_SHADER),\"fragment\"]],h=0;h<2;h+=1)if(r=(c=f[h])[0],l=c[1],p=c[2],s.shaderSource(l,r),s.compileShader(l),u=s.getShaderParameter(l,s.COMPILE_STATUS),!g(u))throw i=s.getShaderInfoLog(l),(o=new Error(\"RuntimeError:\"+_(\"errors in \"+p+\" shader:\\n\",i))).name=\"RuntimeError\",o;if(s.attachShader(this.handle,d),s.attachShader(this.handle,a),s.linkProgram(this.handle),!g(s.getProgramParameter(this.handle,s.LINK_STATUS)))throw(n=new Error(\"RuntimeError:Program link error:\\n\"+s.getProgramInfoLog(this.handle))).name=\"RuntimeError\",n;return this._unset_variables=this._get_active_attributes_and_uniforms(),s.detachShader(this.handle,d),s.detachShader(this.handle,a),s.deleteShader(d),s.deleteShader(a),this._known_invalid=[],this._linked=!0,null},a.prototype._get_active_attributes_and_uniforms=function(){var t,e,r,n,o,i,a,s,l,h,u,c,f,p,d,y,m,x;for(s=this._gl,this.locations={},p=new window.RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),o=s.getProgramParameter(this.handle,s.ACTIVE_UNIFORMS),e=s.getProgramParameter(this.handle,s.ACTIVE_ATTRIBUTES),x=[],\"object\"!=typeof(y=[[t=[],e,s.getActiveAttrib,s.getAttribLocation],[x,o,s.getActiveUniform,s.getUniformLocation]])||Array.isArray(y)||(y=Object.keys(y)),m=0;m<y.length;m+=1)for(r=(d=y[m])[0],n=d[1],i=d[2],a=d[3],l=0;l<n;l+=1){if(c=(f=(h=i.call(s,this.handle,l)).name).match(p),g(c))for(f=c[1],u=0;u<h.size;u+=1)v.call(r,[f+\"[\"+u+\"]\",h.type]);else v.call(r,[f,h.type]);this.locations[f]=a.call(s,this.handle,f)}return _(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(e[0]);return o}.apply(this),function(){var t,e,r,n=[];for(\"object\"!=typeof(e=x)||Array.isArray(e)||(e=Object.keys(e)),r=0;r<e.length;r++)t=e[r],n.push(t[0]);return n}.apply(this))},a.prototype.set_texture=function(t,e){var r,n,o;if(!g(this._linked))throw(r=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",r;return n=m.call(this.locations,t,-1),g(n<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active texture\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),o=x.call(this._samplers).length,f(t,this._samplers)&&(o=this._samplers[t][this._samplers[t].length-1]),this._samplers[t]=[e._target,e.handle,o],this._gl.uniform1i(n,o),null)},a.prototype.set_uniform=function(t,e,r){var n,o,i,a,s,l,h;if(!g(this._linked))throw(i=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",i;if(s=m.call(this.locations,t,-1),g(s<0))return f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active uniform\")),null;if(f(t,this._unset_variables)&&E.call(this._unset_variables,t),o=1,w.call(e,\"mat\")||(n=m.call({int:\"float\",bool:\"float\"},e,b.call(e,\"ib\")),o=Math.floor(r.length/this.ATYPEINFO[n][0])),g(o>1))for(l=0;l<o;l+=1)f(t+\"[\"+l+\"]\",this._unset_variables)&&f(h=t+\"[\"+l+\"]\",this._unset_variables)&&E.call(this._unset_variables,h);return a=this.UTYPEMAP[e],this.activate(),w.call(e,\"mat\")?this._gl[a](s,!1,r):this._gl[a](s,r),null},a.prototype.set_attribute=function(t,e,r,n,o){var i,a,s,l,u,_;if(n=void 0===n?0:n,o=void 0===o?0:o,!g(this._linked))throw(a=new Error(\"RuntimeError:Cannot set attribute when program has no code\")).name=\"RuntimeError\",a;return u=r instanceof h,l=m.call(this.locations,t,-1),g(l<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),g(u)&&g(o>0)||c.log(\"Variable \"+t+\" is not an active attribute\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),g(u)?(s=\"vertexAttribPointer\",i=[(_=this.ATYPEINFO[e])[0],_[1],this._gl.FALSE,n,o],this._attributes[t]=[r.handle,l,s,i]):(s=this.ATYPEMAP[e],this._attributes[t]=[0,l,s,r]),null)},a.prototype._pre_draw=function(){var t,e,r,n,o,i,a,s,l,h,u,c;for(c in this.activate(),a=this._samplers)a.hasOwnProperty(c)&&(l=(i=c=a[c])[0],s=i[1],h=i[2],this._gl.activeTexture(_(this._gl.TEXTURE0,h)),this._gl.bindTexture(l,s));for(c in o=this._attributes)o.hasOwnProperty(c)&&(u=(n=c=o[c])[0],e=n[1],r=n[2],t=n[3],g(u)?(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,u),this._gl.enableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))):(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,null),this._gl.disableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))));return g(this._validated)||(this._validated=!0,this._validate()),null},a.prototype._validate=function(){var t;if(this._unset_variables.length&&c.log(\"Program has unset variables: \"+this._unset_variables),this._gl.validateProgram(this.handle),!g(this._gl.getProgramParameter(this.handle,this._gl.VALIDATE_STATUS)))throw c.log(this._gl.getProgramInfoLog(this.handle)),(t=new Error(\"RuntimeError:Program validation error\")).name=\"RuntimeError\",t;return null},a.prototype.draw=function(t,e){var r,n,o,a,s;if(!g(this._linked))throw(n=new Error(\"RuntimeError:Cannot draw program if code has not been set\")).name=\"RuntimeError\",n;return u(this._gl,\"before draw\"),g(e instanceof i)?(this._pre_draw(),e.activate(),r=e._buffer_size/2,a=this._gl.UNSIGNED_SHORT,this._gl.drawElements(t,r,a,0),e.deactivate()):(o=(s=e)[0],r=s[1],g(r)&&(this._pre_draw(),this._gl.drawArrays(t,o,r))),u(this._gl,\"after draw\"),null},((n=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,n.prototype._class_name=\"Buffer\",n.prototype._target=null,n.prototype._usage=35048,n.prototype._create=function(){return this.handle=this._gl.createBuffer(),this._buffer_size=0,null},n.prototype.delete=function(){return this._gl.deleteBuffer(this.handle),null},n.prototype.activate=function(){return this._gl.bindBuffer(this._target,this.handle),null},n.prototype.deactivate=function(){return this._gl.bindBuffer(this._target,null),null},n.prototype.set_size=function(t){return p(t,this._buffer_size)||(this.activate(),this._gl.bufferData(this._target,t,this._usage),this._buffer_size=t),null},n.prototype.set_data=function(t,e){return this.activate(),this._gl.bufferSubData(this._target,t,e),null},(h=function(){d(this,arguments)}).prototype=Object.create(n.prototype),h.prototype._base_class=n.prototype,h.prototype._class_name=\"VertexBuffer\",h.prototype._target=34962,(i=function(){d(this,arguments)}).prototype=Object.create(n.prototype),i.prototype._base_class=n.prototype,i.prototype._class_name=\"IndexBuffer\",i.prototype._target=34963,((s=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,s.prototype._class_name=\"Texture2D\",s.prototype._target=3553,s.prototype._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},s.prototype._create=function(){return this.handle=this._gl.createTexture(),this._shape_format=null,null},s.prototype.delete=function(){return this._gl.deleteTexture(this.handle),null},s.prototype.activate=function(){return this._gl.bindTexture(this._target,this.handle),null},s.prototype.deactivate=function(){return this._gl.bindTexture(this._target,0),null},s.prototype._get_alignment=function(t){var e,r,n;for(\"object\"!=typeof(r=[4,8,2,1])||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n+=1)if(e=r[n],p(t%e,0))return e;return null},s.prototype.set_wrapping=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_S,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_T,e),null},s.prototype.set_interpolation=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_MIN_FILTER,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_MAG_FILTER,e),null},s.prototype.set_size=function(t,e){var r,n,o;return r=(n=t)[0],o=n[1],p([r,o,e],this._shape_format)||(this._shape_format=[r,o,e],this.activate(),this._gl.texImage2D(this._target,0,e,o,r,0,e,this._gl.UNSIGNED_BYTE,null)),this.u_shape=[r,o],null},s.prototype.set_data=function(t,e,r){var n,o,i,a,s,l,h,u,c,_;if(p(e.length,2)&&(e=[e[0],e[1],1]),this.activate(),i=this._shape_format[2],s=(l=e)[0],u=l[1],l[2],_=(h=t)[0],c=h[1],null===(a=m.call(this._types,r.constructor.name,null)))throw(o=new Error(\"ValueError:Type \"+r.constructor.name+\" not allowed for texture\")).name=\"ValueError\",o;return n=this._get_alignment(y(e[e.length-2],e[e.length-1])),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,n),this._gl.texSubImage2D(this._target,0,c,_,u,s,i,a,r),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,4),null},((l=function(){d(this,arguments)}).prototype=Object.create(s.prototype))._base_class=s.prototype,l.prototype._class_name=\"Texture3DLike\",l.prototype.GLSL_SAMPLE_NEAREST=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float zindex = floor(texcoord.z * shape.z);\\n\\n            // Do a lookup in the 2D texture\\n            float u = (mod(zindex, ncols) + texcoord.x) / ncols;\\n            float v = (floor(zindex / ncols) + texcoord.y) / nrows;\\n\\n            return texture2D(tex, vec2(u,v));\\n        }\\n    \",l.prototype.GLSL_SAMPLE_LINEAR=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float z = texcoord.z * shape.z;\\n            float zindex1 = floor(z);\\n            float u1 = (mod(zindex1, ncols) + texcoord.x) / ncols;\\n            float v1 = (floor(zindex1 / ncols) + texcoord.y) / nrows;\\n\\n            float zindex2 = zindex1 + 1.0;\\n            float u2 = (mod(zindex2, ncols) + texcoord.x) / ncols;\\n            float v2 = (floor(zindex2 / ncols) + texcoord.y) / nrows;\\n\\n            vec4 s1 = texture2D(tex, vec2(u1, v1));\\n            vec4 s2 = texture2D(tex, vec2(u2, v2));\\n\\n            return s1 * (zindex2 - z) + s2 * (z - zindex1);\\n        }\\n    \",l.prototype._get_tile_info=function(t){var e,r,n,o;if(r=this._gl.getParameter(this._gl.MAX_TEXTURE_SIZE),o=Math.floor(r/t[1]),o=Math.min(o,t[0]),n=window.Math.ceil(t[0]/o),g(y(n,t[2])>r))throw(e=new Error(\"RuntimeError:Cannot fit 3D data with shape \"+t+\" onto simulated 2D texture.\")).name=\"RuntimeError\",e;return[o,n]},l.prototype.set_size=function(t,e){var r,n,o,i;return n=(i=this._get_tile_info(t))[0],r=i[1],o=[y(t[1],n),y(t[2],r)],l.prototype._base_class.set_size.call(this,o,e),this.u_shape=[t[0],t[1],t[2]],this.u_tiles=[r,n],null},l.prototype.set_data=function(t,e,r){var n,o,i,a,s,h,u,c,_,f,d,v;if(p(e.length,3)&&(e=[e[0],e[1],e[2],1]),!function(t){for(var e=0;e<t.length;e++)if(!g(t[e]))return!1;return!0}(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(p(e,0));return o}.apply(this)))throw(i=new Error(\"ValueError:Texture3DLike does not support nonzero offset (for now)\")).name=\"ValueError\",i;if(s=(c=this._get_tile_info(e))[0],a=c[1],u=[y(e[1],s),y(e[2],a),e[3]],p(a,1))l.prototype._base_class.set_data.call(this,[0,0],u,r);else for(v=new(0,r.constructor)(y(y(u[0],u[1]),u[2])),l.prototype._base_class.set_data.call(this,[0,0],u,v),d=0;d<e[0];d+=1)h=(_=[Math.floor(d/a),d%a])[0],n=_[1],o=Math.floor(r.length/e[0]),f=r.slice(y(d,o),y(d+1,o)),l.prototype._base_class.set_data.call(this,[y(h,e[1]),y(n,e[2])],e.slice(1),f);return null},e.exports={Buffer:n,GlooObject:o,IndexBuffer:i,Program:a,Texture2D:s,Texture3DLike:l,VertexBuffer:h,check_error:u,console:c}},\n      374: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(20),s=e(72);class i{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(e){e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,a){if(0==t.length)return!0;const[r,i,n]=[0,1,2];let l=1,h=1,[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]);if(isNaN(o[0]+o[1]+o[2]+_[0]+_[1]+_[2]))return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;if(l=100/Math.min(Math.max(Math.abs(o[1]-o[0]),1e-12),1e12),h=100/Math.min(Math.max(Math.abs(_[1]-_[0]),1e-12),1e12),[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]),Math.abs(o[1]-o[0]-(o[2]-o[1]))>1e-6||Math.abs(_[1]-_[0]-(_[2]-_[1]))>1e-6)return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;const[c,u]=[(o[1]-o[0])/l,(_[1]-_[0])/h],{width:d,height:g}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,f={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:d,height:g,dx:o[0]/c,dy:_[0]/u,sx:c,sy:u};return this.draw(t,a,f),!0}}function n(e,t){const a=new Float32Array(e);for(let r=0,s=e;r<s;r++)a[r]=t;return a}function l(e,t){return void 0!==e[t].spec.value}a.BaseGLGlyph=i,i.__name__=\"BaseGLGlyph\",a.line_width=function(e){return e<2&&(e=Math.sqrt(2*e)),e},a.fill_array_with_float=n,a.fill_array_with_vec=function(e,t,a){const r=new Float32Array(e*t);for(let s=0;s<e;s++)for(let e=0;e<t;e++)r[s*t+e]=a[e];return r},a.visual_prop_is_singular=l,a.attach_float=function(e,t,a,r,s,i){if(s.doit)if(l(s,i))t.used=!1,e.set_attribute(a,\"float\",s[i].value());else{t.used=!0;const n=new Float32Array(s.get_array(i));t.set_size(4*r),t.set_data(0,n),e.set_attribute(a,\"float\",t)}else t.used=!1,e.set_attribute(a,\"float\",[0])},a.attach_color=function(e,t,a,s,i,h){let o;const _=h+\"_color\",c=h+\"_alpha\";if(i.doit)if(l(i,_)&&l(i,c))t.used=!1,o=r.color2rgba(i[_].value(),i[c].value()),e.set_attribute(a,\"vec4\",o);else{let h,u;t.used=!0,u=l(i,_)?(()=>{const e=[];for(let t=0,a=s;t<a;t++)e.push(i[_].value());return e})():i.get_array(_),h=l(i,c)?n(s,i[c].value()):i.get_array(c);const d=new Float32Array(4*s);for(let e=0,t=s;e<t;e++){o=r.color2rgba(u[e],h[e]);for(let t=0,a=4;t<a;t++)d[4*e+t]=o[t]}t.set_size(4*s*4),t.set_data(0,d),e.set_attribute(a,\"vec4\",t)}else t.used=!1,e.set_attribute(a,\"vec4\",[0,0,0,0])}},\n      375: function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = (a_position + u_offset) * abs_scale;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n      376: function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n      377: function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(373),r=t(374),o=t(378),_=t(379),h=t(213),l=t(12),n=t(72);class g extends r.BaseGLGlyph{init(){const{gl:t}=this,s=o.vertex_shader,e=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(s,e),this.vbo_x=new a.VertexBuffer(t),this.prog.set_attribute(\"a_x\",\"float\",this.vbo_x),this.vbo_y=new a.VertexBuffer(t),this.prog.set_attribute(\"a_y\",\"float\",this.vbo_y),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,s,e){const i=s.glglyph,{nvertices:a}=i;if(i.data_changed){if(!isFinite(e.dx)||!isFinite(e.dy))return;i._baked_offset=[e.dx,e.dy],i._set_data(a),i.data_changed=!1}else this.glyph instanceof h.CircleView&&null!=this.glyph._radius&&(null==this.last_trans||e.sx!=this.last_trans.sx||e.sy!=this.last_trans.sy)&&(this.last_trans=e,this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))));this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1);const r=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[e.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[e.width,e.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[e.dx-r[0],e.dy-r[1]]),this.prog.set_uniform(\"u_scale\",\"vec2\",[e.sx,e.sy]),this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const s=window.navigator.userAgent;s.indexOf(\"MSIE \")+s.indexOf(\"Trident/\")+s.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const s=64e3,e=[];for(let t=0,i=Math.ceil(a/s);t<i;t++)e.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%s;e[Math.floor(t[i]/s)].push(a)}for(let t=0,a=e.length;t<a;t++){const a=new Uint16Array(e[t]),r=t*s*4;0!==a.length&&(this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x,0,r),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const s=4*t;this.vbo_x.set_size(s),this.vbo_y.set_size(s),this.vbo_a.set_size(s),this.vbo_s.set_size(s);const e=new Float64Array(this.glyph._x),i=new Float64Array(this.glyph._y);for(let s=0,a=t;s<a;s++)e[s]+=this._baked_offset[0],i[s]+=this._baked_offset[1];this.vbo_x.set_data(0,new Float32Array(e)),this.vbo_y.set_data(0,new Float32Array(i)),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof h.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){r.attach_float(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),r.attach_color(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),r.attach_color(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function f(t){return class extends g{get _marker_code(){return t}}}e.MarkerGLGlyph=g,g.__name__=\"MarkerGLGlyph\";const d=i.__importStar(t(379));e.CircleGLGlyph=f(d.circle),e.SquareGLGlyph=f(d.square),e.DiamondGLGlyph=f(d.diamond),e.TriangleGLGlyph=f(d.triangle),e.InvertedTriangleGLGlyph=f(d.invertedtriangle),e.HexGLGlyph=f(d.hex),e.CrossGLGlyph=f(d.cross),e.CircleCrossGLGlyph=f(d.circlecross),e.SquareCrossGLGlyph=f(d.squarecross),e.DiamondCrossGLGlyph=f(d.diamondcross),e.XGLGlyph=f(d.x),e.CircleXGLGlyph=f(d.circlex),e.SquareXGLGlyph=f(d.squarex),e.AsteriskGLGlyph=f(d.asterisk)},\n      378: function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_x;\\nattribute float a_y;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    // Calculate position - the -0.5 is to correct for canvas origin\\n    vec2 pos = (vec2(a_x, a_y) + u_offset) * u_scale; // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n      379: function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n    //gl_FragColor.rgb *= gl_FragColor.a;  // pre-multiply alpha\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n      }, 370, {\"models/glyphs/webgl/main\":370,\"models/glyphs/webgl/index\":371,\"models/glyphs/webgl/line\":372,\"models/glyphs/webgl/base\":374,\"models/glyphs/webgl/line.vert\":375,\"models/glyphs/webgl/line.frag\":376,\"models/glyphs/webgl/markers\":377,\"models/glyphs/webgl/markers.vert\":378,\"models/glyphs/webgl/markers.frag\":379}, {});\n      })\n\n\n      /* END bokeh-gl.min.js */\n    },\n    \n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      /* BEGIN panel.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], undefined);\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"22ae8fda70\"));o.Panel=s,e(\"@bokehjs/base\").register_models(s)},\n      \"22ae8fda70\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=a(\"tslib\");var t=a(\"3343056bd8\");r.AcePlot=t.AcePlot;var c=a(\"66d52165db\");r.Audio=c.Audio;var l=a(\"71a9759436\");r.CommManager=l.CommManager;var d=a(\"d0d2aafca0\");r.DeckGLPlot=d.DeckGLPlot;var v=a(\"ed08037ce5\");r.HTML=v.HTML;var b=a(\"284504a0cf\");r.JSON=b.JSON;var P=a(\"61c9ac7aac\");r.FileDownload=P.FileDownload;var f=a(\"7b859fb3cf\");r.KaTeX=f.KaTeX;var i=a(\"0c21036737\");r.MathJax=i.MathJax;var n=a(\"79c41bbf71\");r.Player=n.Player;var s=a(\"56da045fbd\");r.PlotlyPlot=s.PlotlyPlot;var M=a(\"76307e5afa\");r.Progress=M.Progress;var S=a(\"38b2bc9574\");r.State=S.State;var g=a(\"294adeb985\");r.VegaPlot=g.VegaPlot;var m=a(\"b0c3e9e9c2\");r.Video=m.Video;var V=a(\"3c7145a2fa\");r.VideoStream=V.VideoStream,o.__exportStar(a(\"ecfbb965eb\"),r)},\n      \"3343056bd8\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._editor.setTheme(\"ace/theme/\"+this.model.theme),this._editor.session.setMode(\"ace/mode/\"+this.model.language),this._editor.setReadOnly(this.model.readonly),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_language(){this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}o.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[i.String],language:[i.String,\"python\"],theme:[i.String,\"chrome\"],annotations:[i.Array,[]],readonly:[i.Boolean,!1]}),this.override({height:300,width:300})}}o.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n      \"71a9759436\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),_=e(\"@bokehjs/protocol/message\"),l=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new l.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.unshift(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=_.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch(this._event_buffer));this._client_comm.send(e),this._event_buffer=[]}on_ack(e){const t=e.metadata;this._event_buffer.length?(this.process_events(),this._blocked=!0,this._timeout=Date.now()+this.timeout):this._blocked=!1,this._event_buffer=[],\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n      \"064eac2866\": function _(e,t,n){\n      /*\n          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n          below is preserved to comply with the original license.\n          \n          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n          \n          Permission is hereby granted, free of charge, to any person obtaining a copy\n          of this software and associated documentation files (the \"Software\"), to deal\n          in the Software without restriction, including without limitation the rights\n          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in\n          all copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n          THE SOFTWARE.\n          */\n      let i,l;Object.defineProperty(n,\"__esModule\",{value:!0});const o={fontFamily:'\"Helvetica Neue\", Helvetica, Arial, sans-serif',display:\"flex\",flex:\"wrap\",maxWidth:\"500px\",flexDirection:\"column\",zIndex:2};function r(){return document.createElement(\"div\")}function s(e){if(!e.picked)return null;if(e.object===i)return l;const t={html:a(e.object),style:o};return l=t,i=e.object,t}n.getTooltipDefault=s;const c=new Set([\"position\",\"index\"]);function a(e){const t=r();for(const n in e){if(c.has(n))continue;const i=r();i.className=\"header\",i.textContent=n;const l=r();l.className=\"value\",l.textContent=u(e[n]);const 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\"093eb75864\": function _(E,_,R){_.exports={DEPTH_BUFFER_BIT:256,STENCIL_BUFFER_BIT:1024,COLOR_BUFFER_BIT:16384,POINTS:0,LINES:1,LINE_LOOP:2,LINE_STRIP:3,TRIANGLES:4,TRIANGLE_STRIP:5,TRIANGLE_FAN:6,ZERO:0,ONE:1,SRC_COLOR:768,ONE_MINUS_SRC_COLOR:769,SRC_ALPHA:770,ONE_MINUS_SRC_ALPHA:771,DST_ALPHA:772,ONE_MINUS_DST_ALPHA:773,DST_COLOR:774,ONE_MINUS_DST_COLOR:775,SRC_ALPHA_SATURATE:776,CONSTANT_COLOR:32769,ONE_MINUS_CONSTANT_COLOR:32770,CONSTANT_ALPHA:32771,ONE_MINUS_CONSTANT_ALPHA:32772,FUNC_ADD:32774,FUNC_SUBTRACT:32778,FUNC_REVERSE_SUBTRACT:32779,BLEND_EQUATION:32777,BLEND_EQUATION_RGB:32777,BLEND_EQUATION_ALPHA:34877,BLEND_DST_RGB:32968,BLEND_SRC_RGB:32969,BLEND_DST_ALPHA:32970,BLEND_SRC_ALPHA:32971,BLEND_COLOR:32773,ARRAY_BUFFER_BINDING:34964,ELEMENT_ARRAY_BUFFER_BINDING:34965,LINE_WIDTH:2849,ALIASED_POINT_SIZE_RANGE:33901,ALIASED_LINE_WIDTH_RANGE:33902,CULL_FACE_MODE:2885,FRONT_FACE:2886,DEPTH_RANGE:2928,DEPTH_WRITEMASK:2930,DEPTH_CLEAR_VALUE:2931,DEPTH_FUNC:2932,STENCIL_CLEAR_VALUE:2961,STENCIL_FUNC:2962,STENCIL_FAIL:2964,STENCIL_PASS_DEPTH_FAIL:2965,STENCIL_PASS_DEPTH_PASS:2966,STENCIL_REF:2967,STENCIL_VALUE_MASK:2963,STENCIL_WRITEMASK:2968,STENCIL_BACK_FUNC:34816,STENCIL_BACK_FAIL:34817,STENCIL_BACK_PASS_DEPTH_FAIL:34818,STENCIL_BACK_PASS_DEPTH_PASS:34819,STENCIL_BACK_REF:36003,STENCIL_BACK_VALUE_MASK:36004,STENCIL_BACK_WRITEMASK:36005,VIEWPORT:2978,SCISSOR_BOX:3088,COLOR_CLEAR_VALUE:3106,COLOR_WRITEMASK:3107,UNPACK_ALIGNMENT:3317,PACK_ALIGNMENT:3333,MAX_TEXTURE_SIZE:3379,MAX_VIEWPORT_DIMS:3386,SUBPIXEL_BITS:3408,RED_BITS:3410,GREEN_BITS:3411,BLUE_BITS:3412,ALPHA_BITS:3413,DEPTH_BITS:3414,STENCIL_BITS:3415,POLYGON_OFFSET_UNITS:10752,POLYGON_OFFSET_FACTOR:32824,TEXTURE_BINDING_2D:32873,SAMPLE_BUFFERS:32936,SAMPLES:32937,SAMPLE_COVERAGE_VALUE:32938,SAMPLE_COVERAGE_INVERT:32939,COMPRESSED_TEXTURE_FORMATS:34467,VENDOR:7936,RENDERER:7937,VERSION:7938,IMPLEMENTATION_COLOR_READ_TYPE:35738,IMPLEMENTATION_COLOR_READ_FORMAT:35739,BROWSER_DEFAULT_WEBGL:37444,STATIC_DRAW:35044,STREAM_DRAW:35040,DYNAMIC_DRAW:35048,ARRAY_BUFFER:34962,ELEMENT_ARRAY_BUFFER:34963,BUFFER_SIZE:34660,BUFFER_USAGE:34661,CURRENT_VERTEX_ATTRIB:34342,VERTEX_ATTRIB_ARRAY_ENABLED:34338,VERTEX_ATTRIB_ARRAY_SIZE:34339,VERTEX_ATTRIB_ARRAY_STRIDE:34340,VERTEX_ATTRIB_ARRAY_TYPE:34341,VERTEX_ATTRIB_ARRAY_NORMALIZED:34922,VERTEX_ATTRIB_ARRAY_POINTER:34373,VERTEX_ATTRIB_ARRAY_BUFFER_BINDING:34975,CULL_FACE:2884,FRONT:1028,BACK:1029,FRONT_AND_BACK:1032,BLEND:3042,DEPTH_TEST:2929,DITHER:3024,POLYGON_OFFSET_FILL:32823,SAMPLE_ALPHA_TO_COVERAGE:32926,SAMPLE_COVERAGE:32928,SCISSOR_TEST:3089,STENCIL_TEST:2960,NO_ERROR:0,INVALID_ENUM:1280,INVALID_VALUE:1281,INVALID_OPERATION:1282,OUT_OF_MEMORY:1285,CONTEXT_LOST_WEBGL:37442,CW:2304,CCW:2305,DONT_CARE:4352,FASTEST:4353,NICEST:4354,GENERATE_MIPMAP_HINT:33170,BYTE:5120,UNSIGNED_BYTE:5121,SHORT:5122,UNSIGNED_SHORT:5123,INT:5124,UNSIGNED_INT:5125,FLOAT:5126,DOUBLE:5130,DEPTH_COMPONENT:6402,ALPHA:6406,RGB:6407,RGBA:6408,LUMINANCE:6409,LUMINANCE_ALPHA:6410,UNSIGNED_SHORT_4_4_4_4:32819,UNSIGNED_SHORT_5_5_5_1:32820,UNSIGNED_SHORT_5_6_5:33635,FRAGMENT_SHADER:35632,VERTEX_SHADER:35633,COMPILE_STATUS:35713,DELETE_STATUS:35712,LINK_STATUS:35714,VALIDATE_STATUS:35715,ATTACHED_SHADERS:35717,ACTIVE_ATTRIBUTES:35721,ACTIVE_UNIFORMS:35718,MAX_VERTEX_ATTRIBS:34921,MAX_VERTEX_UNIFORM_VECTORS:36347,MAX_VARYING_VECTORS:36348,MAX_COMBINED_TEXTURE_IMAGE_UNITS:35661,MAX_VERTEX_TEXTURE_IMAGE_UNITS:35660,MAX_TEXTURE_IMAGE_UNITS:34930,MAX_FRAGMENT_UNIFORM_VECTORS:36349,SHADER_TYPE:35663,SHADING_LANGUAGE_VERSION:35724,CURRENT_PROGRAM:35725,NEVER:512,ALWAYS:519,LESS:513,EQUAL:514,LEQUAL:515,GREATER:516,GEQUAL:518,NOTEQUAL:517,KEEP:7680,REPLACE:7681,INCR:7682,DECR:7683,INVERT:5386,INCR_WRAP:34055,DECR_WRAP:34056,NEAREST:9728,LINEAR:9729,NEAREST_MIPMAP_NEAREST:9984,LINEAR_MIPMAP_NEAREST:9985,NEAREST_MIPMAP_LINEAR:9986,LINEAR_MIPMAP_LINEAR:9987,TEXTURE_MAG_FILTER:10240,TEXTURE_MIN_FILTER:10241,TEXTURE_WRAP_S:10242,TEXTURE_WRAP_T:10243,TEXTURE_2D:3553,TEXTURE:5890,TEXTURE_CUBE_MAP:34067,TEXTURE_BINDING_CUBE_MAP:34068,TEXTURE_CUBE_MAP_POSITIVE_X:34069,TEXTURE_CUBE_MAP_NEGATIVE_X:34070,TEXTURE_CUBE_MAP_POSITIVE_Y:34071,TEXTURE_CUBE_MAP_NEGATIVE_Y:34072,TEXTURE_CUBE_MAP_POSITIVE_Z:34073,TEXTURE_CUBE_MAP_NEGATIVE_Z:34074,MAX_CUBE_MAP_TEXTURE_SIZE:34076,TEXTURE0:33984,ACTIVE_TEXTURE:34016,REPEAT:10497,CLAMP_TO_EDGE:33071,MIRRORED_REPEAT:33648,TEXTURE_WIDTH:4096,TEXTURE_HEIGHT:4097,FLOAT_VEC2:35664,FLOAT_VEC3:35665,FLOAT_VEC4:35666,INT_VEC2:35667,INT_VEC3:35668,INT_VEC4:35669,BOOL:35670,BOOL_VEC2:35671,BOOL_VEC3:35672,BOOL_VEC4:35673,FLOAT_MAT2:35674,FLOAT_MAT3:35675,FLOAT_MAT4:35676,SAMPLER_2D:35678,SAMPLER_CUBE:35680,LOW_FLOAT:36336,MEDIUM_FLOAT:36337,HIGH_FLOAT:36338,LOW_INT:36339,MEDIUM_INT:36340,HIGH_INT:36341,FRAMEBUFFER:36160,RENDERBUFFER:36161,RGBA4:32854,RGB5_A1:32855,RGB565:36194,DEPTH_COMPONENT16:33189,STENCIL_INDEX:6401,STENCIL_INDEX8:36168,DEPTH_STENCIL:34041,RENDERBUFFER_WIDTH:36162,RENDERBUFFER_HEIGHT:36163,RENDERBUFFER_INTERNAL_FORMAT:36164,RENDERBUFFER_RED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none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \"No properties\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \"[]\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \"►\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \"No properties\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \"[]\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  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this.config.useToJSON&&\"stringifiable\"===this.type},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"hasKey\",{get:function(){return void 0!==this.key},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"constructorName\",{get:function(){return i(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"type\",{get:function(){return this.config.useToJSON&&this.json&&this.json.toJSON?\"stringifiable\":n(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"keys\",{get:function(){if(this.isObject){var t=Object.keys(this.json);return!this.isArray&&this.config.sortPropertiesBy?t.sort(this.config.sortPropertiesBy):t}return[]},enumerable:!0,configurable:!0}),t.prototype.toggleOpen=function(){this.isOpen=!this.isOpen,this.element&&(this.isOpen?this.appendChildren(this.config.animateOpen):this.removeChildren(this.config.animateClose),this.element.classList.toggle(f(\"open\")))},t.prototype.openAtDepth=function(t){void 0===t&&(t=1),t<0||(this.open=t,this.isOpen=0!==t,this.element&&(this.removeChildren(!1),0===t?this.element.classList.remove(f(\"open\")):(this.appendChildren(this.config.animateOpen),this.element.classList.add(f(\"open\")))))},t.prototype.getInlinepreview=function(){var t=this;if(this.isArray)return this.json.length>this.config.hoverPreviewArrayCount?\"Array[\"+this.json.length+\"]\":\"[\"+this.json.map(a).join(\", \")+\"]\";var e=this.keys,r=e.slice(0,this.config.hoverPreviewFieldCount).map((function(e){return 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e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n      \"61c9ac7aac\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=l.__importStar(e(\"@bokehjs/core/properties\"));class a extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el)}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}}i.FileDownloadView=a,a.__name__=\"FileDownloadView\";class h extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=a,this.define({auto:[n.Boolean,!1],clicks:[n.Number,0],data:[n.String,null],label:[n.String,\"Download\"],filename:[n.String,null],button_type:[n.ButtonType,\"default\"],_transfers:[n.Number,0]}),this.override({title:\"\"})}}i.FileDownload=h,h.__name__=\"FileDownload\",h.__module__=\"panel.models.widgets\",h.init_FileDownload()},\n      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n      \"56da045fbd\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),l=t(\"@bokehjs/core/util/object\"),r=t(\"@bokehjs/core/util/eq\"),s=t(\"@bokehjs/models/layouts/html_box\"),n=t(\"99a25e6992\"),a=t(\"990b5dd5c7\"),p=t(\"7116a7a602\"),h=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||a.isPlainObject(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class _ extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=n.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=a.deepCopy(this.model.layout);if(this._relayouting){const t=this.el.layout;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this.el,t,e,this.model.config).then(()=>{this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this.el.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this.el,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this.el.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this.el.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this.el,t,\"restyle\"),this._updateViewportProperty()}),this.el.on(\"plotly_click\",t=>{this.model.click_data=h(this.el,t,\"click\")}),this.el.on(\"plotly_hover\",t=>{this.model.hover_data=h(this.el,t,\"hover\")}),this.el.on(\"plotly_selected\",t=>{this.model.selected_data=h(this.el,t,\"selected\")}),this.el.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this.el.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this.el.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1})}_get_trace(t,e){const o=l.clone(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],n=o;for(let t of r.slice(0,-1))n=n[t];e&&1==r.length?n[s]=[l]:n[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this.el._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(r.isEqual(a.get(t,o),e))return!0;{let t=a.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this.el._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=a.deepCopy(t[o].range))}r.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=a.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=_,_.__name__=\"PlotlyPlotView\";class d extends s.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=_,this.define({data:[i.Array,[]],layout:[i.Any,{}],config:[i.Any,{}],data_sources:[i.Array,[]],relayout_data:[i.Any,{}],restyle_data:[i.Array,[]],click_data:[i.Any,{}],hover_data:[i.Any,{}],clickannotation_data:[i.Any,{}],selected_data:[i.Any,{}],viewport:[i.Any,{}],viewport_update_policy:[i.String,\"mouseup\"],viewport_update_throttle:[i.Number,200],_render_count:[i.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n      \"76307e5afa\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class h extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Number,null]})}}t.Progress=h,h.__name__=\"Progress\",h.__module__=\"panel.models.widgets\",h.init_Progress()},\n      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n      \"ecfbb965eb\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"5b5e56e89a\");l.VTKPlot=V.VTKPlot;var t=e(\"729dd26c71\");l.VTKVolumePlot=t.VTKVolumePlot;var K=e(\"e23461e5d7\");l.VTKAxes=K.VTKAxes},\n      \"5b5e56e89a\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/core/dom\"),a=e(\"c704c63c0a\"),o=e(\"aaf560d219\");class r extends a.AbstractVTKView{constructor(){super(...arguments),this._axes_initialized=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.axes.change,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_renwin.getRenderWindow().render()}),this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}render(){super.render(),this._axes=null,this._axes_initialized=!1,this._plot()}after_layout(){this._axes_initialized||(this._render_axes_canvas(),this._axes_initialized=!0)}_render_axes_canvas(){const e=this._vtk_container.getElementsByTagName(\"canvas\");if(1!=e.length)throw Error(\"Error at initialization of the 3D scene, container should have one and only one canvas\");e[0].classList.add(\"scene3d-canvas\");const t=i.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}});t.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(t),this._vtk_renwin.setResizeCallback(()=>{const e=this._vtk_container.getBoundingClientRect(),n=Math.floor(e.width*window.devicePixelRatio),s=Math.floor(e.height*window.devicePixelRatio);t.setAttribute(\"width\",n.toFixed()),t.setAttribute(\"height\",s.toFixed())})}_delete_axes(){if(null==this._axes)return;Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]));const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],t=e.getContext(\"2d\");t&&t.clearRect(0,0,e.clientWidth*window.devicePixelRatio,e.clientHeight*window.devicePixelRatio),this._axes=null}_set_axes(){if(this.model.axes){const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],{psActor:t,axesActor:n,gridActor:s}=this.model.axes.create_axes(e);this._axes={psActor:t,axesActor:n,gridActor:s},this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(n),this._vtk_renwin.getRenderer().addActor(s)}}_plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=o.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=o.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),s=o.vtk.macro.debounce(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this.model.properties.camera.change.emit()},100);n.setUrl(\"index.json\"),n.onReady(s)}})}}n.VTKPlotView=r,r.__name__=\"VTKPlotView\";class d extends a.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}static init_VTKPlot(){this.prototype.default_view=r,this.define({data:[s.String],axes:[s.Instance],enable_keybindings:[s.Boolean,!1]})}}n.VTKPlot=d,d.__name__=\"VTKPlot\",d.init_VTKPlot()},\n      \"c704c63c0a\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/core/util/object\"),a=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"7116a7a602\"),_=e(\"aaf560d219\");class d extends o.PanelHTMLBoxView{constructor(){super(...arguments),this._setting_camera=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()}),this.connect(this.model.properties.orientation_widget.change,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.connect(this.model.properties.camera.change,()=>this._set_camera_state())}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),e?this._widgetManager.enablePicking():this._widgetManager.disablePicking(),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render()}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance(),t=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()});t.setEnabled(!0),t.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),t.setViewportSize(.15),t.setMinPixelSize(100),t.setMaxPixelSize(300),this._orientationWidget=t;const i=_.vtkns.WidgetManager.newInstance();i.setRenderer(t.getRenderer());const n=_.vtkns.InteractiveOrientationWidget.newInstance();n.placeWidget(e.getBounds()),n.setBounds(e.getBounds()),n.setPlaceFactor(1);const r=i.addWidget(n);this._widgetManager=i,r.onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}),this._orientation_widget_visibility(this.model.orientation_widget)}_get_camera_state(){if(!this._setting_camera){this._setting_camera=!0;const e=s.clone(this._vtk_renwin.getRenderer().getActiveCamera().get());delete e.classHierarchy,delete e.vtkObject,delete e.vtkCamera,delete e.viewPlaneNormal,this.model.camera=e,this._setting_camera=!1}}_set_camera_state(){if(!this._setting_camera){this._setting_camera=!0;try{this.model.camera&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera)}finally{this._setting_camera=!1}this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}}render(){super.render(),this._orientationWidget=null,this._vtk_container=r.div(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin=_.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container}),this._remove_default_key_binding(),this._create_orientation_widget(),this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._get_camera_state()),this._set_camera_state(),this.model.renderer_el=this._vtk_renwin}after_layout(){super.after_layout(),this._vtk_renwin.resize()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}}i.AbstractVTKView=d,d.__name__=\"AbstractVTKView\";class c extends a.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({orientation_widget:[n.Boolean,!1],camera:[n.Instance]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=c,c.__name__=\"AbstractVTKPlot\",c.__module__=\"panel.models.vtk\",c.init_AbstractVTKPlot()},\n      \"aaf560d219\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"@bokehjs/core/util/array\");function a(t){const e=Math.min(Math.max(Math.round(t),0),255).toString(16);return 2==e.length?e:\"0\"+e}function o(t,e,n){return\"#\"+a(t)+a(e)+a(n)}function i(t){for(var e=new ArrayBuffer(t.length),n=new Uint8Array(e),r=0,a=t.length;r<a;r++)n[r]=t.charCodeAt(r);return e}n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk&&(n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox),n.hexToRGB=function(t){return[parseInt(t.slice(1,3),16)/255,parseInt(t.slice(3,5),16)/255,parseInt(t.slice(5,7),16)/255]},n.rgbToHex=o,n.vtkLutToMapper=function(t){const{scale:e,nodes:a}=t.get(\"scale\",\"nodes\");if(e!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const i=a.map(t=>t.x),s=Math.min(...i),k=Math.max(...i),v=r.linspace(s,k,255),c=[0,0,0];return{low:s,high:k,palette:v.map(e=>(t.getColor(e,c),o(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(t){const e=n.vtkns.ImageData.newInstance({spacing:t.spacing});e.setDimensions(t.dims),e.setOrigin(null!=t.origin?t.origin:t.dims.map(t=>t/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[t.dtype](i(atob(t.buffer)))});return e.getPointData().setScalars(r),e},n.majorAxis=function(t,e,n){const r=[0,0,0],a=Math.abs(t[e])>Math.abs(t[n])?e:n,o=t[a]>0?1:-1;return r[a]=o,r},n.cartesian_product=function(...t){return t.reduce((t,e)=>t.flatMap(t=>e.map(e=>[].concat(t,e))))}},\n      \"729dd26c71\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"c704c63c0a\"),n=e(\"aaf560d219\");class o extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.colormap.change,()=>{this.colormap_slector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_slector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_j.change,()=>{this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_k.change,()=>{this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})}get volume(){return this._controllerWidget.getActor()}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_slector(){return this.el.querySelector(\".js-color-preset\")}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}render(){super.render(),this._controllerWidget=n.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._vtk_image_data=n.data2VTKImageData(this.model.data),this._controllerWidget.setContainer(this.el),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._plot_volume(),this._connect_controls(),this._plot_slices(),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderer().resetCamera()}_connect_controls(){this.colormap_slector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_slector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_slector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_volume(){const e=this._vtk_image_data,t=n.vtkns.Volume.newInstance(),i=n.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),r=n.vtkns.ColorTransferFunction.newInstance();r.onModified(()=>this.model.mapper=n.vtkLutToMapper(r));const o=n.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,r),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,n.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),t,!0)}_plot_slices(){const e=this._vtk_image_data,t=n.vtkns.ImageSlice.newInstance(),i=n.vtkns.ImageSlice.newInstance(),s=n.vtkns.ImageSlice.newInstance(),r=n.vtkns.ImageMapper.newInstance(),o=n.vtkns.ImageMapper.newInstance(),a=n.vtkns.ImageMapper.newInstance();r.setInputData(e),r.setISlice(this.model.slice_i),t.setMapper(r),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=n.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const c=this.volume.getProperty().getRGBTransferFunction(0),d=t.getProperty();i.setProperty(d),s.setProperty(d),d.setRGBTransferFunction(c),d.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_set_volume_visibility(e){this.volume.setVisibility(e)}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({data:[s.Instance],shadow:[s.Boolean,!0],sampling:[s.Number,.4],edge_gradient:[s.Number,.2],colormap:[s.String],rescale:[s.Boolean,!1],ambient:[s.Number,.2],diffuse:[s.Number,.7],specular:[s.Number,.3],specular_power:[s.Number,8],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],display_volume:[s.Boolean,!0],display_slices:[s.Boolean,!1],render_background:[s.String,\"#52576e\"],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n      \"e23461e5d7\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\"),n=t(\"2f3fd5db07\"),a=t(\"@bokehjs/model\"),c=e.__importStar(t(\"@bokehjs/core/properties\")),r=t(\"aaf560d219\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[c.Array],xticker:[c.Instance],yticker:[c.Instance],zticker:[c.Instance],digits:[c.Number,1],show_grid:[c.Boolean,!0],grid_opacity:[c.Number,.1],axes_opacity:[c.Number,1],fontsize:[c.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(r.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(r.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(r.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=r.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=r.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=r.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,a)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();n.mat4.transpose(l,l);const o=i.getProjectionMatrix(a,-1,1);n.mat4.transpose(o,o),c.clearRect(0,0,r.width,r.height),s.forEach((t,s)=>{const i=h.getPoint(s),e=n.vec3.fromValues(i[0],i[1],i[2]);if(n.vec3.transformMat4(e,e,l),e[2]+=.05,n.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let i;c.font=\"30px serif\",c.textAlign=\"center\",c.textBaseline=\"alphabetic\",c.fillText(\".\",t[0],r.height-t[1]+2),c.font=this.fontsize*window.devicePixelRatio+\"px serif\",c.textAlign=\"right\",c.textBaseline=\"top\",i=s<this.xticks.length?this.xlabels[s]:s>=this.xticks.length&&s<this.xticks.length+this.yticks.length?this.ylabels[s-this.xticks.length]:this.zlabels[s-(this.xticks.length+this.yticks.length)],c.fillText(\"\"+i,t[0],r.height-t[1])}})}});const a=r.vtkns.Actor.newInstance();a.setMapper(e);const c=r.vtkns.Mapper.newInstance();c.setInputData(i);const h=r.vtkns.Actor.newInstance();return h.setMapper(c),h.getProperty().setOpacity(this.axes_opacity),{psActor:a,axesActor:h,gridActor:this._create_grid_axes()}}}i.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n      \"2f3fd5db07\": function _(t,c,a){Object.defineProperty(a,\"__esModule\",{value:!0});const o=t(\"tslib\"),r=o.__importStar(t(\"68ca94c15c\"));a.glMatrix=r;const _=o.__importStar(t(\"7c0b8e6048\"));a.mat2=_;const e=o.__importStar(t(\"dc03f0a621\"));a.mat2d=e;const i=o.__importStar(t(\"0285c50a7e\"));a.mat3=i;const m=o.__importStar(t(\"a427635f32\"));a.mat4=m;const n=o.__importStar(t(\"eb06fc032a\"));a.quat=n;const s=o.__importStar(t(\"277615c682\"));a.quat2=s;const p=o.__importStar(t(\"c56d9ff837\"));a.vec2=p;const S=o.__importStar(t(\"2c5eb22089\"));a.vec3=S;const f=o.__importStar(t(\"c1aa33d719\"));a.vec4=f},\n      \"68ca94c15c\": function _(t,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=u,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return 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t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+d*s,t[7]=P*u+S*i+d*M,t[8]=P*o+S*c+d*h,t}function o(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new r.ARRAY_TYPE(9);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new r.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,u,o,e,i,c,s){var M=new r.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=u,M[4]=o,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=u,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],e=a[3],s=o+o,i=u+u,c=M+M,f=o*s,b=o*i,l=o*c,v=u*i,m=u*c,P=M*c,E=e*s,S=e*i,I=e*c,O=r[0],p=r[1],L=r[2],N=h[0],R=h[1],x=h[2],y=(1-(v+P))*O,A=(b+I)*O,Y=(l-S)*O,d=(b-I)*p,g=(1-(f+P))*p,T=(m+E)*p,_=(l+S)*L,q=(m-E)*L,w=(1-(f+v))*L;return t[0]=y,t[1]=A,t[2]=Y,t[3]=0,t[4]=d,t[5]=g,t[6]=T,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+N-(y*N+d*R+_*x),t[13]=n[1]+R-(A*N+g*R+q*x),t[14]=n[2]+x-(Y*N+T*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,e=h+h,s=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*e,v=o*u,m=o*M,P=o*e;return t[0]=1-c-l,t[1]=i+P,t[2]=f-m,t[3]=0,t[4]=i-P,t[5]=1-s-l,t[6]=b+v,t[7]=0,t[8]=f+m,t[9]=b-v,t[10]=1-s-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),e=1/(h-r),s=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*e,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*e,t[10]=(u+o)*s,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*s,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", 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       "var HTML_MIME_TYPE = 'text/html';\n",
       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
       "var CLASS_NAME = 'output';\n",
       "\n",
       "/**\n",
       " * Render data to the DOM node\n",
       " */\n",
       "function render(props, node) {\n",
       "  var div = document.createElement(\"div\");\n",
       "  var script = document.createElement(\"script\");\n",
       "  node.appendChild(div);\n",
       "  node.appendChild(script);\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when a new output is added\n",
       " */\n",
       "function handle_add_output(event, handle) {\n",
       "  var output_area = handle.output_area;\n",
       "  var output = handle.output;\n",
       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "    return\n",
       "  }\n",
       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "  if (id !== undefined) {\n",
       "    var nchildren = toinsert.length;\n",
       "    var html_node = toinsert[nchildren-1].children[0];\n",
       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var scripts = [];\n",
       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
       "    for (var i in nodelist) {\n",
       "      if (nodelist.hasOwnProperty(i)) {\n",
       "        scripts.push(nodelist[i])\n",
       "      }\n",
       "    }\n",
       "\n",
       "    scripts.forEach( function (oldScript) {\n",
       "      var newScript = document.createElement(\"script\");\n",
       "      var attrs = [];\n",
       "      var nodemap = oldScript.attributes;\n",
       "      for (var j in nodemap) {\n",
       "        if (nodemap.hasOwnProperty(j)) {\n",
       "          attrs.push(nodemap[j])\n",
       "        }\n",
       "      }\n",
       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
       "    });\n",
       "    if (JS_MIME_TYPE in output.data) {\n",
       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
       "    }\n",
       "    output_area._hv_plot_id = id;\n",
       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
       "    } else {\n",
       "      window.PyViz.plot_index[id] = null;\n",
       "    }\n",
       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "    var bk_div = document.createElement(\"div\");\n",
       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var script_attrs = bk_div.children[0].attributes;\n",
       "    for (var i = 0; i < script_attrs.length; i++) {\n",
       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "    }\n",
       "    // store reference to server id on output_area\n",
       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when an output is cleared or removed\n",
       " */\n",
       "function handle_clear_output(event, handle) {\n",
       "  var id = handle.cell.output_area._hv_plot_id;\n",
       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
       "  if (server_id !== null) {\n",
       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
       "    return;\n",
       "  } else if (comm !== null) {\n",
       "    comm.send({event_type: 'delete', 'id': id});\n",
       "  }\n",
       "  delete PyViz.plot_index[id];\n",
       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
       "    var doc = window.Bokeh.index[id].model.document\n",
       "    doc.clear();\n",
       "    const i = window.Bokeh.documents.indexOf(doc);\n",
       "    if (i > -1) {\n",
       "      window.Bokeh.documents.splice(i, 1);\n",
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       "\n",
       "/**\n",
       " * Handle kernel restart event\n",
       " */\n",
       "function handle_kernel_cleanup(event, handle) {\n",
       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
       "  window.PyViz.plot_index = {}\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle update_display_data messages\n",
       " */\n",
       "function handle_update_output(event, handle) {\n",
       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
       "  handle_add_output(event, handle)\n",
       "}\n",
       "\n",
       "function register_renderer(events, OutputArea) {\n",
       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
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       "\n",
       "if (window.Jupyter !== undefined) {\n",
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       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
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      ],
      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to 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scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } 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EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
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       "       style='height:15px; border-radius:12px; display: inline-block; float: left'></img>\n",
       "  \n",
       "\n",
       "\n",
       "</div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:param.Image02242: Setting non-parameter attribute value_dimensions=[Dimension('Image')] using a mechanism intended only for parameters\n"
     ]
    },
    {
     "data": {
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' style='max-width:100%; margin: auto; display: block; '/>"
      ],
      "text/plain": [
       ":AdjointLayout\n",
       "   :Image   [x,y]   (z)\n",
       "   :Histogram   [z]   (z_frequency)"
      ]
     },
     "execution_count": 19,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {}
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import holoviews as hv\n",
    "%load_ext holoviews.ipython\n",
    "%output size=150 dpi=120\n",
    "%opts Image (cmap='gray')\n",
    "image = imread('https://github.com/bicv/SLIP/raw/master/database/yelmo512.png')\n",
    "im.set_size(image)\n",
    "image = im.preprocess(image)\n",
    "hv.Image(im.normalize(image), value_dimensions=[hv.Dimension('Image', range=(-1,1))]).hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:43.989117Z",
     "start_time": "2018-06-19T07:17:43.243904Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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' style='max-width:100%; margin: auto; display: block; '/>"
      ],
      "text/plain": [
       ":AdjointLayout\n",
       "   :Image   [x,y]   (z)\n",
       "   :Histogram   [z]   (z_frequency)"
      ]
     },
     "execution_count": 20,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {}
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#! whitening to balance the energy of evey frequency band\n",
    "im.pe.white_n_learning = 0\n",
    "white = im.whitening(image)\n",
    "hv.Image(im.normalize(white)).hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:44.056089Z",
     "start_time": "2018-06-19T07:17:43.991160Z"
    }
   },
   "outputs": [],
   "source": [
    "import imageio\n",
    "imageio.imsave('database/yelmo512_w.png', white)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:44.781163Z",
     "start_time": "2018-06-19T07:17:44.059106Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img 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' style='max-width:100%; margin: auto; display: block; '/>"
      ],
      "text/plain": [
       ":AdjointLayout\n",
       "   :Image   [x,y]   (z)\n",
       "   :Histogram   [z]   (z_frequency)"
      ]
     },
     "execution_count": 22,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {}
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#! the filtering operation preserves infomation (none is lost...)\n",
    "hv.Image(white - im.FTfilter(white, 1.)).hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:50.406509Z",
     "start_time": "2018-06-19T07:17:44.783268Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure Atick\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x711.936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\" This is just to remember that we use a simpler fitering technique.\n",
    "\n",
    "In the Attick LGN, the gain is changed according to an estimation of the SNR.\n",
    "\n",
    "\"\"\"\n",
    "print('Figure Atick')\n",
    "image = plt.imread('https://github.com/bicv/LogGabor/raw/master/database/lena256.png')[:,:,0]\n",
    "im.set_size(image)\n",
    "\n",
    "\n",
    "contrasts = 1. / 2**np.arange(6)\n",
    "freqs = np.linspace(0.,.49, 40)\n",
    "size  = image.shape\n",
    "x, y = np.mgrid[0:size[0],0:size[1]]\n",
    "\n",
    "response = np.zeros((len(freqs), len(contrasts)))\n",
    "for i_contrast, contrast in enumerate(contrasts):\n",
    "    for i_freq, freq in enumerate(freqs):\n",
    "        image = contrast * np.sin( 2* np.pi * x * freq)\n",
    "        white = im.whitening(image)\n",
    "        response[i_freq,i_contrast] = np.std(white)\n",
    "response.shape\n",
    "\n",
    "fig = plt.figure(figsize=(fig_width, 0.618*fig_width))\n",
    "a = plt.subplot(111)\n",
    "a.loglog(freqs,response,c='b')\n",
    "plt.xlabel('frequency (cycles / pixel)')\n",
    "_ = plt.axis('tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Back to top](#SLIP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## defining input image as Lena"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:51.359155Z",
     "start_time": "2018-06-19T07:17:50.409011Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean= 0.5018028 , std= 0.1809845\n",
      "Mean= 0.5399145 , std= 0.19473016\n",
      "Mean= -0.04846428 , std= 0.44376016\n"
     ]
    }
   ],
   "source": [
    "image = plt.imread('https://github.com/bicv/LogGabor/raw/master/database/lena256.png').mean(axis=-1)\n",
    "print('Mean=', image.mean(), ', std=', image.std())\n",
    "im = Image('default_param.py')\n",
    "im.pe.N_X, im.pe.N_Y = image.shape\n",
    "im.init()\n",
    "image = im.normalize(image, center=False)\n",
    "print('Mean=', image.mean(), ', std=', image.std())\n",
    "image = im.normalize(image, center=True)\n",
    "print('Mean=', image.mean(), ', std=', image.std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:51.984931Z",
     "start_time": "2018-06-19T07:17:51.361003Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x711.936 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=figsize)\n",
    "a1 = fig.add_subplot(121)\n",
    "a2 = fig.add_subplot(122)\n",
    "a1.imshow(im.normalize(image, center=True, use_max=True), **opts)\n",
    "a1.set_xlabel('Y'), a1.set_ylabel('X')\n",
    "a1.plot([100.], [50.], 'r*')\n",
    "a1.text(100., 50., 'X=50., Y=100.')\n",
    "a1.axis([0, image.shape[0], image.shape[1], 0])\n",
    "a2.imshow(im.normalize(im.whitening(image), center=True, use_max=True), **opts)\n",
    "a2.plot([10.], [150.], 'r*')\n",
    "a2.text(10., 150., 'X=150., Y=10.')\n",
    "a2.set_xlabel('Y')\n",
    "v = a2.axis([0, image.shape[0], image.shape[1], 0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:52.647098Z",
     "start_time": "2018-06-19T07:17:51.987262Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x711.936 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=figsize)\n",
    "a1 = fig.add_subplot(121)\n",
    "a2 = fig.add_subplot(122)\n",
    "a1.imshow(im.normalize(image, center=True, use_max=True), **opts)\n",
    "a1.set_xlabel('Y'), a1.set_ylabel('X')\n",
    "a1.axis([0, image.shape[0], image.shape[1], 0])\n",
    "a2.imshow(im.normalize(im.dewhitening(im.whitening(image)), center=True, use_max=True), **opts)\n",
    "a2.set_xlabel('Y')\n",
    "v = a2.axis([0, image.shape[0], image.shape[1], 0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Back to top](#SLIP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## An application: statistics of natural images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:52.684668Z",
     "start_time": "2018-06-19T07:17:52.649403Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The holoviews.ipython extension is already loaded. To reload it, use:\n",
      "  %reload_ext holoviews.ipython\n"
     ]
    }
   ],
   "source": [
    "import holoviews as hv\n",
    "%load_ext holoviews.ipython\n",
    "%output size=150 dpi=120"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:17:53.711476Z",
     "start_time": "2018-06-19T07:17:52.687914Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:param.Image03588: Setting non-parameter attribute key_dimensions=[Dimension('$f_y$'), Dimension('$f_x$')] using a mechanism intended only for parameters\n",
      "WARNING:param.Image03618: Setting non-parameter attribute key_dimensions=[Dimension('$f_y$'), Dimension('$f_x$')] using a mechanism intended only for parameters\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img 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style='max-width:100%; margin: auto; display: block; '/>"
      ],
      "text/plain": [
       ":Layout\n",
       "   .Radial_frequency_coordinates.I  :AdjointLayout\n",
       "      :Image   [x,y]   (z)\n",
       "      :Histogram   [z]   (z_frequency)\n",
       "   .Radial_frequency_coordinates.II :AdjointLayout\n",
       "      :Image   [x,y]   (z)\n",
       "      :Histogram   [z]   (z_frequency)"
      ]
     },
     "execution_count": 28,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {}
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%opts Image (cmap='hot')\n",
    "key_dims = [hv.Dimension('$f_y$', range=(0, 1)), hv.Dimension('$f_x$', range=(0, 1))]\n",
    "s_f = hv.Image(im.f, group='radial frequency coordinates', key_dimensions=key_dims).hist()\n",
    "s_theta = hv.Image(im.f_theta, group='radial frequency coordinates', key_dimensions=key_dims).hist()\n",
    "s_f + s_theta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:18:04.236718Z",
     "start_time": "2018-06-19T07:17:53.713677Z"
    },
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "im = Image('default_param.py')\n",
    "im.pe.datapath = 'database/'\n",
    "name_database = 'serre07_targets'\n",
    "imagelist = im.make_imagelist(name_database=name_database)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:18:15.195427Z",
     "start_time": "2018-06-19T07:18:04.238636Z"
    }
   },
   "outputs": [],
   "source": [
    "F = np.zeros_like(im.f_x)\n",
    "for filename, croparea in imagelist:\n",
    "    image, filename_, croparea_ = im.patch(name_database, filename=filename, croparea=croparea, center=False)\n",
    "    F += np.fft.fftshift(np.absolute(np.fft.fftn(image))**2)\n",
    "F /= F.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:18:15.781608Z",
     "start_time": "2018-06-19T07:18:15.197559Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:param.Image04668: Setting non-parameter attribute key_dimensions=[Dimension('$f_y$'), Dimension('$f_x$')] using a mechanism intended only for parameters\n"
     ]
    },
    {
     "data": {
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       "<img 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' style='max-width:100%; margin: auto; display: block; '/>"
      ],
      "text/plain": [
       ":AdjointLayout\n",
       "   :Image   [x,y]   (z)\n",
       "   :Histogram   [z]   (z_frequency)"
      ]
     },
     "execution_count": 31,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {}
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%opts Image (cmap='hot')\n",
    "key_dims = [hv.Dimension('$f_y$', range=(0, 1)), hv.Dimension('$f_x$', range=(0, 1))]\n",
    "hv.Image(np.log(F), group='average spectral energy', key_dimensions=key_dims).hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:18:15.815597Z",
     "start_time": "2018-06-19T07:18:15.783573Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F is maximum at : (127, 128)  (we expected ( 128.0 ,  128.0 ) )\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-32-d2ca63b8146a>:1: DeprecationWarning: 'shape' argument should be used instead of 'dims'\n",
      "  print('F is maximum at :', np.unravel_index(np.argmax(F), dims=F.shape), ' (we expected (', F.shape[0]/2, ', ', F.shape[0]/2, ') )')\n"
     ]
    }
   ],
   "source": [
    "print('F is maximum at :', np.unravel_index(np.argmax(F), dims=F.shape), ' (we expected (', F.shape[0]/2, ', ', F.shape[0]/2, ') )')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now try to fit a power-law to one slice:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:18:15.850808Z",
     "start_time": "2018-06-19T07:18:15.819292Z"
    }
   },
   "outputs": [],
   "source": [
    "# !pip install lmfit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:18:16.508031Z",
     "start_time": "2018-06-19T07:18:15.853375Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[Model]]\n",
      "    Model(powerlaw)\n",
      "[[Fit Statistics]]\n",
      "    # fitting method   = leastsq\n",
      "    # function evals   = 51\n",
      "    # data points      = 255\n",
      "    # variables        = 2\n",
      "    chi-square         = 0.02018965\n",
      "    reduced chi-square = 7.9801e-05\n",
      "    Akaike info crit   = -2404.18136\n",
      "    Bayesian info crit = -2397.09884\n",
      "[[Variables]]\n",
      "    amplitude:  9.6345e-05 +/- 9.0392e-06 (9.38%) (init = 9.982334e-07)\n",
      "    exponent:  -1.67031658 +/- 0.01724693 (1.03%) (init = -2.852235)\n",
      "[[Correlations]] (unreported correlations are < 0.250)\n",
      "    C(amplitude, exponent) =  0.998\n",
      "[[Model]]\n",
      "    Model(powerlaw)\n",
      "[[Fit Statistics]]\n",
      "    # fitting method   = leastsq\n",
      "    # function evals   = 58\n",
      "    # data points      = 255\n",
      "    # variables        = 2\n",
      "    chi-square         = 0.00187915\n",
      "    reduced chi-square = 7.4275e-06\n",
      "    Akaike info crit   = -3009.64072\n",
      "    Bayesian info crit = -3002.55819\n",
      "[[Variables]]\n",
      "    amplitude:  4.6415e-05 +/- 2.8079e-06 (6.05%) (init = 8.104911e-07)\n",
      "    exponent:  -1.66602869 +/- 0.01112401 (0.67%) (init = -2.720384)\n",
      "[[Correlations]] (unreported correlations are < 0.250)\n",
      "    C(amplitude, exponent) =  0.998\n"
     ]
    }
   ],
   "source": [
    "from lmfit.models import PowerLawModel\n",
    "mod = PowerLawModel()\n",
    "valid = ~(np.arange(F.shape[0])==F.shape[0]//2)\n",
    "pars = mod.guess(F[valid, F.shape[0]//2], x=np.abs(im.f_x[valid, F.shape[0]//2]))\n",
    "out  = mod.fit(F[valid, F.shape[0]//2], pars, x=np.abs(im.f_x[valid, F.shape[0]//2]))\n",
    "print(out.fit_report(min_correl=0.25))\n",
    "\n",
    "valid = ~(np.arange(F.shape[1])==F.shape[1]//2)\n",
    "pars = mod.guess(F[F.shape[1]//2, valid], x=np.abs(im.f_y[F.shape[1]//2, valid]))\n",
    "out  = mod.fit(F[F.shape[1]//2, valid], pars, x=np.abs(im.f_y[F.shape[1]//2, valid]))\n",
    "print(out.fit_report(min_correl=0.25))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This proves that the spectrum of natural images falls as $\\frac{1}{f^2}$. But is that true for all directions? Let's slice the Fourier spectrum along different orientations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:18:17.273651Z",
     "start_time": "2018-06-19T07:18:16.511046Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:param.Image04874: Setting non-parameter attribute key_dimensions=[Dimension('$f_y$'), Dimension('$f_x$')] using a mechanism intended only for parameters\n"
     ]
    },
    {
     "data": {
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       "<img 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' style='max-width:100%; margin: auto; display: block; '/>"
      ],
      "text/plain": [
       ":AdjointLayout\n",
       "   :Image   [x,y]   (z)\n",
       "   :Histogram   [z]   (z_frequency)"
      ]
     },
     "execution_count": 35,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {}
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "N_f = 12 #F.shape[0]/2 # making an histogram with N_f bins\n",
    "f_bins = np.linspace(0., 0.5, N_f+1)\n",
    "f_bins = np.logspace(-.5, 0, N_f+1, base=10)*0.5\n",
    "\n",
    "N_orientations = 12 # making an histogram with N_f bins\n",
    "theta_bins = np.linspace(0, np.pi, N_orientations, endpoint=False)\n",
    "\n",
    "F_rot = np.zeros((N_f, N_orientations))\n",
    "for i_theta in range(N_orientations):\n",
    "    for i_f in range(N_f):\n",
    "        f_slice = (f_bins[i_f] < im.f) *  ( im.f < f_bins[i_f+1])\n",
    "        theta_slice = np.exp(np.cos(im.f_theta - theta_bins[i_theta])/(1.5*2*np.pi/N_orientations)**2)\n",
    "        F_rot[i_f, i_theta] = (f_slice * theta_slice * F).sum()\n",
    "        F_rot[i_f, i_theta] /= (f_slice * theta_slice).sum() # normalize by the integration area (numeric)\n",
    "if np.isnan(F_rot).any(): print('Beware of the NaNs!')\n",
    "F_rot /= F_rot.max()\n",
    "hv.Image(np.log10(F_rot), group='average spectral energy', key_dimensions=key_dims).hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:18:18.194000Z",
     "start_time": "2018-06-19T07:18:17.275757Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x711.936 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1, 1, figsize=figsize) # fib\n",
    "#axs.set_color_cycle(np.array([[0., 1., 1.]]) * np.abs(f_bins)[:, np.newaxis])\n",
    "fit_exp = np.zeros(N_orientations)\n",
    "for i_theta in range(N_orientations): \n",
    "    axs.loglog((f_bins[:-1]+f_bins[1:])/2, F_rot[:, i_theta], 'o', alpha=.3)\n",
    "    pars = mod.guess(F_rot[:, i_theta], x=(f_bins[:-1]+f_bins[1:])/2)\n",
    "    out  = mod.fit(F_rot[:, i_theta], pars, x=(f_bins[:-1]+f_bins[1:])/2)\n",
    "    fit_exp[i_theta] = -out.params.get('exponent').value\n",
    "axs.axis('tight')\n",
    "axs.set_xlabel('spatial frequency', **fopts)\n",
    "_ = axs.set_ylabel('Power', **fopts)\n",
    "inset = fig.add_axes([0.6, 0.58, .3, .3], facecolor='w')\n",
    "inset.bar(theta_bins, fit_exp, width=theta_bins[1]-theta_bins[0])\n",
    "inset.set_xlim((0, np.pi))\n",
    "inset.set_xlabel('orientation', **fopts)\n",
    "inset.set_ylabel('exponent of the best-fit \\n of a power-law', fontsize=10)\n",
    "fit = ((f_bins[:-1]+f_bins[1:])/2)**-fit_exp.mean()\n",
    "axs.loglog((f_bins[:-1]+f_bins[1:])/2, fit/fit.max(), '-', alpha=.7)\n",
    "_ = inset.annotate('Average exponent = ' + str(fit_exp.mean()), \n",
    "                   xy = (0., fit_exp.mean()), xytext = (-4.5, -3), \n",
    "                   arrowprops=dict(connectionstyle=\"angle,angleA=90,angleB=-180,rad=100\", arrowstyle=\"->\", lw=4, fc='b', ec='k', alpha=.2), **fopts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice that the average exponent is sligthly different than the one obtained above when taking just one line or column of the spectrum, as slices in orientation are different (think of slicing a pie in a partition)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Back to top](#SLIP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## more book keeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-19T07:18:18.274214Z",
     "start_time": "2018-06-19T07:18:18.196240Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The watermark extension is already loaded. To reload it, use:\n",
      "  %reload_ext watermark\n",
      "2020-09-08T16:55:28+02:00\n",
      "\n",
      "CPython 3.8.5\n",
      "IPython 7.16.1\n",
      "\n",
      "numpy 1.20.0.dev0+7d04e22\n",
      "matplotlib 3.2.2\n",
      "scipy 1.5.2\n",
      "imageio 2.9.0\n",
      "SLIP 20191113\n",
      "\n",
      "compiler   : Clang 11.0.3 (clang-1103.0.32.62)\n",
      "system     : Darwin\n",
      "release    : 19.6.0\n",
      "machine    : x86_64\n",
      "processor  : i386\n",
      "CPU cores  : 36\n",
      "interpreter: 64bit\n",
      "host name  : fortytwo\n",
      "Git hash   : 2451fce2503e4e422db56dee38d5680ada3ac7a2\n",
      "Git repo   : https://github.com/bicv/SLIP\n",
      "Git branch : master\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -i -h -m -v -p numpy,matplotlib,scipy,imageio,SLIP  -r -g -b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Back to top](#SLIP)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}