{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **BCDI Pipeline**  \n",
    "### A Notebook to Run the `BcdiPipeline` Instance  \n",
    "\n",
    "This notebook provides a structured workflow for running a **Bragg Coherent Diffraction Imaging (BCDI) pipeline**.  \n",
    "\n",
    "The `BcdiPipeline` class handles the entire process, including:  \n",
    "- **Pre-processing** → Data preparation and corrections.  \n",
    "- **Phase retrieval** → Running PyNX algorithms to reconstruct the phase.  \n",
    "- **Post-processing** → Refining, analysing (get the strain!), and visualising results.  \n",
    "\n",
    "You can provide **either**:  \n",
    "- A **YAML parameter file** for full automation.  \n",
    "- A **Python dictionary** for interactive control in this notebook.  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# import required packages\n",
    "import os\n",
    "\n",
    "import cdiutils  # core library for BCDI processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **General Parameters**\n",
    "Here, define the key parameters for **accessing and saving data** before running the pipeline.  \n",
    "- **These parameters must be set manually by the user** before execution.  \n",
    "- The output data will be saved in a structured directory format based on `sample_name` and `scan`. However, you can change the directory path if you like.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[INFO] BcdiPipeline initialised.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Dump directory already exists, results will be saved in:\n",
      "/mnt/multipath-shares/scisoft/clatlan/dev/cdiutils/tests/results/PtYSZ_0001/S54/.\n"
     ]
    }
   ],
   "source": [
    "# define the key parameters (must be filled in by the user)\n",
    "beamline_setup: str = \"id01\"  # example: \"ID01\" (provide the beamline setup)\n",
    "experiment_file_path: str = \"/scisoft/clatlan/dev/cdiutils/tests/raw_data/id01/dislocation/ihhc3936_id01.h5\"  # example: \"/path/to/experiment/file.h5\"\n",
    "sample_name: str = \"PtYSZ_0001\"  # example: \"Sample_Pt\"\n",
    "scan: int = 54  # example: 42 (specify the scan number)\n",
    "\n",
    "# choose where to save the results (default: current working directory)\n",
    "dump_dir = os.getcwd() + f\"/results/{sample_name}/S{scan}/\"\n",
    "\n",
    "# load the parameters and parse them into the BcdiPipeline class instance\n",
    "params = cdiutils.pipeline.get_params_from_variables(dir(), globals())\n",
    "bcdi_pipeline = cdiutils.BcdiPipeline(params=params)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Pre-Processing**  \n",
    "\n",
    "If you need to update specific parameters, you can **pass them directly** into the `preprocess` method.  \n",
    "\n",
    "### **Main Parameters**\n",
    "- `preprocess_shape` → The shape of the cropped window used throughout the processes.  \n",
    "  - Can be a **tuple of 2 or 3 values**.  \n",
    "  - If only **2 values**, the entire rocking curve is used.  \n",
    "\n",
    "- `voxel_reference_methods` → A `list` (or a single value) defining how to centre the data.  \n",
    "  - Can include `\"com\"`, `\"max\"`, or a `tuple` of `int` (specific voxel position).  \n",
    "  - Example:\n",
    "    ```python\n",
    "    voxel_reference_methods = [(70, 200, 200), \"com\", \"com\"]\n",
    "    ```\n",
    "    - This centres a box of size `preprocess_shape` around `(70, 200, 200)`, then iteratively refines it using `\"com\"` (only computed within this box).\n",
    "    - Useful when `\"com\"` fails due to artifacts or `\"max\"` fails due to hot pixels.  \n",
    "    - Default: `[\"max\", \"com\", \"com\"]`.  \n",
    "\n",
    "- `rocking_angle_binning` → If you want to bin in the **rocking curve direction**, provide a binning factor (ex.: `2`).  \n",
    "\n",
    "- `light_loading` → If `True`, loads only the **ROI of the data** based on `voxel_reference_methods` and `preprocess_output_shape`.  \n",
    "\n",
    "- `hot_pixel_filter` → Removes isolated hot pixels. \n",
    "  - Default: `False`.  \n",
    "\n",
    "- `background_level` → Sets the background intensity to be removed.  \n",
    "  - Example: `3`.  \n",
    "  - Default: `None`.  \n",
    "\n",
    "- `hkl` → Defines the **Bragg reflection** measured to extend *d*-spacing values to the lattice parameter.  \n",
    "  - Default: `[1, 1, 1]`.  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[INFO] \n",
      "*******************************************************************************\n",
      "*                        Starting process: preprocess                         *\n",
      "*******************************************************************************\n",
      "\n",
      "[INFO] Additional parameters provided, will update the current dictionary of parameters.\n",
      "[INFO] \n",
      "Shape already in agreement with pynx shape conventions.\n",
      "\n",
      "[INFO] Raw detector data shape is: (257, 516, 516).\n",
      "[INFO] Energy successfully loaded (8999.999342027731 eV).\n",
      "[INFO] \n",
      "det_calib_params not provided, will try to find them. However, for a more accurate calculation, you'd better provide them.\n",
      "[INFO] det_calib_params successfully loaded:\n",
      "{'cch1': 183.66818834436071, 'cch2': 239.2862465330885, 'pwidth1': 5.5e-05, 'pwidth2': 5.5e-05, 'distance': 0.9041015096551395, 'tiltazimuth': 0.0, 'tilt': 0.0, 'detrot': 0.0}\n",
      "[INFO] The preprocessing output shape is: and (257, 150, 150) will be used for the determination of the ROI dimensions.\n",
      "[INFO] Method(s) employed for the voxel reference determination are ['max', 'com', 'com'].\n",
      "[INFO] \n",
      "Chain centring:\n",
      "\t- max: (126, 167, 365), value: 206113\n",
      "\t- com: (129, 166, 365), value: 79442\n",
      "\t- com: (129, 166, 365), value: 79442\n",
      "\n",
      "[INFO] The reference voxel was found at (128, 166, 365) in the uncropped data frame.\n",
      "The process_shape being (257, 150, 150), the roi used to crop the data is [0, 257, 91, 241, 290, 440].\n",
      "\n",
      "[INFO] \n",
      "Oversampling ratios calculated from diffraction pattern are: axis0: 3.7, axis1: 5.0, axis2: 4.4. If low-strain crystal, you can set PyNX 'rebin' parameter to (1.0, 2.0, 2.0)\n",
      "[INFO] \n",
      "Summary table:\n",
      "╒═════════╤═════════════════════╤═══════════════════╤════════════════╤═════════════════╕\n",
      "│ voxel   │ uncrop. det. pos.   │ crop. det. pos.   │   dspacing (A) │   lat. par. (A) │\n",
      "╞═════════╪═════════════════════╪═══════════════════╪════════════════╪═════════════════╡\n",
      "│ ref     │ (128, 166, 365)     │ (128, 75, 75)     │        2.26532 │         3.92366 │\n",
      "├─────────┼─────────────────────┼───────────────────┼────────────────┼─────────────────┤\n",
      "│ max     │ (126, 167, 365)     │ (126, 76, 75)     │        2.26554 │         3.92403 │\n",
      "├─────────┼─────────────────────┼───────────────────┼────────────────┼─────────────────┤\n",
      "│ com     │ (129, 168, 363)     │ (129, 75, 75)     │        2.26532 │         3.92366 │\n",
      "╘═════════╧═════════════════════╧═══════════════════╧════════════════╧═════════════════╛\n",
      "[INFO] Will linearise the transformation between detector and lab space.\n",
      "[INFO] \n",
      "Voxel size calculated from the extent in the reciprocal space is: [10.82302468\n",
      "15.12350403 16.18969734] (nm).\n",
      "\n",
      "[INFO] Pre-processed data file saved at:\n",
      "/mnt/multipath-shares/scisoft/clatlan/dev/cdiutils/tests/results/PtYSZ_0001/S54//S54_preprocessed_data.cxi\n",
      "[INFO] \n",
      "Scan parameter file saved at:\n",
      "/mnt/multipath-shares/scisoft/clatlan/dev/cdiutils/tests/results/PtYSZ_0001/S54//S54_parameters.yml\n",
      "[INFO] Process preprocess completed successfully.\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x800 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bcdi_pipeline.preprocess(\n",
    "    preprocess_shape=(150, 150),  # define cropped window size\n",
    "    voxel_reference_methods=[\"max\", \"com\", \"com\"],  # centring method sequence\n",
    "    hot_pixel_filter=False,  # remove isolated hot pixels\n",
    "    background_level=None,  # background intensity level to remove\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **[PyNX](https://pynx.esrf.fr/en/latest/index.html) Phase Retrieval**\n",
    "See the [pynx.cdi](https://pynx.esrf.fr/en/latest/scripts/pynx-cdi-id01.html) documentation for details on the phasing algorithms used here.  \n",
    "\n",
    "**Algorithm recipe**\n",
    "\n",
    "You can either:  \n",
    "- provide the exact chain of algorithms.  \n",
    "- or specify the number of iterations for **RAAR**, **HIO**, and **ER**.  \n",
    "\n",
    "```python\n",
    "algorithm = None  # ex: \"(Sup * (ER**20)) ** 10, (Sup*(HIO**20)) ** 15, (Sup*(RAAR**20)) ** 25\"\n",
    "nb_raar = 500\n",
    "nb_hio =  300\n",
    "nb_er =  200\n",
    "psf = \"pseudo-voigt,1,0.05,20\"\n",
    "```\n",
    "**Support-related parameters**\n",
    "```python\n",
    "support = \"auto\"  # ex: bcdi_pipeline.pynx_phasing_dir + \"support.cxi\" (path to an existing support)\n",
    "```\n",
    ">_Note: If strain seems to large, don't use \"auto\" (autocorrelation) but use \"circle\" or \"square\", in combination with \"support_size\"_  \n",
    "```python\n",
    "support_threshold = \"0.15, 0.40\"  # must be a string\n",
    "support_update_period = 20\n",
    "support_only_shrink = False\n",
    "support_post_expand = None  # ex: \"-1,1\" or \"-1,2,-1\"\n",
    "support_update_border_n = None\n",
    "support_smooth_width_begin = 2\n",
    "support_smooth_width_end = 0.5\n",
    "```\n",
    "**Other parameters**\n",
    "```python\n",
    "positivity = False\n",
    "beta = 0.9  # β parameter in HIO and RAAR\n",
    "detwin = True\n",
    "rebin = \"1, 1, 1\"  # must be a string\n",
    "```\n",
    "**Number of Runs & Reconstructions to Keep**\n",
    "```python\n",
    "nb_run = 20  # total number of runs\n",
    "nb_run_keep = 10  # number of reconstructions to keep\n",
    "```\n",
    "\n",
    "**Override defaults in `phase_retrieval`**\n",
    "\n",
    "You can override any default parameter directly in the phase_retrieval method:\n",
    "```python\n",
    "bcdi_pipeline.phase_retrieval(nb_run=50, nb_run_keep=25)\n",
    "```\n",
    "If a parameter is not provided, the default value is used.\n",
    "\n",
    "### **Phase Retrieval GUI**\n",
    "You can also launch a **Graphical User Interface (GUI)** to interactively set parameters and run phase retrieval.  \n",
    "```python\n",
    "bcdi_pipeline.phase_retrieval_gui()\n",
    "```\n",
    "In that case, you can take care of the the result analysis, the selection of the best reconstructions, and the mode decomposition. Then, simply jump to the post-processing step cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bcdi_pipeline.phase_retrieval(\n",
    "    clear_former_results=True,\n",
    "    nb_run=20,\n",
    "    nb_run_keep=5,\n",
    "    # support=bcdi_pipeline.pynx_phasing_dir + \"support.cxi\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Analyse the phasing results**\n",
    "\n",
    "This step evaluates the quality of the phase retrieval results by sorting reconstructions based on a `sorting_criterion`.  \n",
    "\n",
    "##### **Available Sorting Criteria**\n",
    "- `\"mean_to_max\"` → Difference between the mean of the **Gaussian fit of the amplitude histogram** and its maximum value. A **smaller difference** indicates a more homogeneous reconstruction.  \n",
    "- `\"sharpness\"` → Sum of the amplitude within the support raised to the power of 4. **Lower values** indicate greater homogeneity.  \n",
    "- `\"std\"` → **Standard deviation** of the amplitude.  \n",
    "- `\"llk\"` → **Log-likelihood** of the reconstruction.  \n",
    "- `\"llkf\"` → **Free log-likelihood** of the reconstruction.  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] Computing metrics...\n",
      "[INFO] the sorted list of runs using 'mean_to_max' sorting_criterion is:\n",
      "['17', '09', '08', '16', '03'].\n",
      "[INFO] Plotting phasing results...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bcdi_pipeline.analyse_phasing_results(\n",
    "    sorting_criterion=\"mean_to_max\",  # selects the sorting method\n",
    "    # Optional parameters\n",
    "    # plot_phasing_results=False,  # uncomment to disable plotting\n",
    "    # plot_phase=True,  # uncomment to enable phase plotting\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Optionally, generate a support for further phasing attempts  \n",
    "\n",
    "##### **Parameters**\n",
    "- `run` → set to either:  \n",
    "  - `\"best\"` to use the best reconstruction.  \n",
    "  - an **integer** corresponding to the specific run you want.  \n",
    "- `output_path` → the location to save the generated support. By default, it will be saved in the `pynx_phasing` folder.  \n",
    "- `fill` →  whether to fill the support if it contains holes.  \n",
    "  - Default: `False`.\n",
    "- `verbose` → whether to print logs and display a plot of the support.  \n",
    "\n",
    "<!-- ```python\n",
    "bcdi_pipeline.generate_support_from(run=\"best\", output_path=\"path/to/save\", verbose=True)\n",
    "``` -->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# bcdi_pipeline.generate_support_from(\"best\", fill=False)  # uncomment to generate a support"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selection of the best reconstructions & mode decomposition  \n",
    "\n",
    "You can select the best reconstructions based on a **sorting criterion** and keep a specified number of top candidates.  \n",
    "\n",
    "##### **Parameters**\n",
    "- `nb_of_best_sorted_runs` → the number of best reconstructions to keep, selected based on the `sorting_criterion` used in the `analyse_phasing_results` method above.  \n",
    "- `best_runs` → instead of selecting based on sorting, you can manually specify a list of reconstruction numbers.\n",
    "\n",
    "By default, the **best reconstructions** are automatically selected.  \n",
    "\n",
    "Once the best candidates are chosen, `mode_decomposition` analyses them to extract dominant features.  \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] Best candidates selected:\n",
      "['17', '09']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[INFO] \n",
      "*******************************************************************************\n",
      "*                    Starting process: mode_decomposition                     *\n",
      "*******************************************************************************\n",
      "\n",
      "[INFO] \n",
      "R_match(1) = 21.942 %\n",
      "\n",
      "[INFO] \n",
      "First mode represents 98.803 %\n",
      "\n",
      "[INFO] Process mode_decomposition completed successfully.\n"
     ]
    }
   ],
   "source": [
    "# define how many of the best candidates to keep\n",
    "number_of_best_candidates: int = 2\n",
    "\n",
    "# select the best reconstructions based on the sorting criterion\n",
    "bcdi_pipeline.select_best_candidates(\n",
    "    nb_of_best_sorted_runs=number_of_best_candidates\n",
    "    # best_runs=[10]  # uncomment to manually select a specific run\n",
    ")\n",
    "\n",
    "# perform mode decomposition on the selected reconstructions\n",
    "bcdi_pipeline.mode_decomposition()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Post-processing**\n",
    "\n",
    "This stage includes several key operations:  \n",
    "- **orthogonalisation** of the reconstructed data.  \n",
    "- **phase manipulation**:  \n",
    "  - phase unwrapping  \n",
    "  - phase ramp removal  \n",
    "- **computation of physical properties**:  \n",
    "  - displacement field  \n",
    "  - strain  \n",
    "  - d-spacing  \n",
    "- **visualisation**: Generate multiple plots for analysis.  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[INFO] \n",
      "*******************************************************************************\n",
      "*                        Starting process: postprocess                        *\n",
      "*******************************************************************************\n",
      "\n",
      "[INFO] Additional parameters provided {'isosurface': 0.3, 'voxel_size': (10, 10, 10), 'flip': False, 'handle_defects': True}, will update the current dictionary of parameters.\n",
      "[INFO] The oversampling ratios in each direction (original frame) are axis0: 4.7, axis1: 5.8, axis2: 3.8\n",
      "[WARNING] Shapes before (257, 150, 150) and after (256, 150, 150) Phase Retrieval are different.\n",
      "Check out PyNX parameters (ex.: auto_center_resize (now deprecated) and roi).\n",
      "[INFO] Voxel size finally used is: (10, 10, 10) nm in the CXI convention.\n",
      "[INFO] Apodizing the complex array using blackman filter.\n",
      "[INFO] Finding an isosurface estimate based on the reconstructed Bragg electron density histogram:\n",
      "[INFO] Isosurface estimated at 0.58965649362277.\n",
      "[INFO] Isosurface provided by user will be used: 0.3.\n",
      "[INFO] Computing the structural properties:\n",
      "\t- phase \n",
      "\t- displacement\n",
      "\t- het. (heterogeneous) strain\n",
      "\t- d-spacing\n",
      "\t- lattice parameter.\n",
      "het. strain maps are computed using various methods, either phase ramp removal or d-spacing method.\n",
      "The theoretical Bragg peak is (1, 1, 1).\n",
      "[INFO] Defect handling requested.\n",
      "[INFO] Post-processed data file saved at:\n",
      "/mnt/multipath-shares/scisoft/clatlan/dev/cdiutils/tests/results/PtYSZ_0001/S54//S54_postprocessed_data.cxi\n",
      "[INFO] \n",
      "Scan parameter file saved at:\n",
      "/mnt/multipath-shares/scisoft/clatlan/dev/cdiutils/tests/results/PtYSZ_0001/S54//S54_parameters.yml\n",
      "[INFO] Process postprocess completed successfully.\n"
     ]
    },
    {
     "data": {
      "image/png": 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bMqVw1KhR+vOf/6y3335bNpstJOxqKddee60KCws1atQoxcTEtPj5AQAAgLbAF5BcfkPW+LQG25hOh4wmns+Issq0xsoXk95wn1WlilHDD2oCgP0V0YFWbm6ubrrpJn3wwQfNCiIMI/QjuvZJeHtvb0yXLl2a3PZA+Hw+/bjlx4PSV319K7r1+6kNtFasWKHbbrstZF/tAvDvvPOOTjrpJMXHx7d4/4MHD9bbb7/d4ucFAAAA2hprfJp6Xvl6g/u3LmjePyBb4lIaPd/2Fy6RXI2P4AKA/RHRgdZXX32loqIiHXvsscFtfr9fn3zyiRYtWiS3262oqNDBsh06dFBBQUHItqKiIlmtVqWnN/wvC+EQZ4tTRlxG+AqI3l1DaxsxYoSsVqt8Pp9GjRoVsi8lJUUDBw7Uf/7zH40ePbrVawEAAAAAAG1fRAdap556qr799tuQbdOnT9dRRx2lO++8s06YJUknnnii3nvvvZBtH3zwgYYOHdqm1s+y2WxKiU9RilLCXcp+35dp06Zp2rRp+2yXmJgor9fb4P6vv/56v/tYuXJlnW05OTn7rGnq1KnBkXsAAAAAAKBtiehAKzExUf379w/ZFh8fr/T09OD2WbNmKS8vT6+88ook6ZprrtGiRYs0c+ZMXXXVVVq/fr2WLl2qv/71rwe9/sb07ds33CUAAAAAAAC0SYf88yby8/P122+/BX/v2bOn/vnPfyo7O1uDBw/W/fffr6eeekrnnntuGKsEAAAAAABAU0X0CK36ZGdnh/yelZVVp82oUaO0adOmg1MQAAAAAAAAWtQhP0ILAAAAAAAAhxYCLQAAAAAAAEQUAi0AAAAAAABEFAItAAAAAAAARBQCLQAAAAAAAEQUAi0AAAAAAABEFGu4C8D/Z/p88nz1lXw5OQoUFipQVRXukmSJj5elfXtZe/RQ9LHHyrDylgEAAAAAAOFFOtFG+LZvV83KlQqUloa7lBABj0eBsjL5tm2T54svFDt5sqw9e4a7LAAAAAAAcBhjymEb4N+5U1XLlrW5MGtvgdJSVf31r/Ln5++zbVZWlgzDUE5OTusX1spmz56tbt26yWq1KiUlJdzltKqHHnpIb7/9dp3t2dnZMgxD2dnZB72m6upqzZ07t1X6bunr2rlzp+bOnav//Oc/TT7G6/Vq3rx56tGjh+x2u4466ig9/fTTTTq2tv76fjZs2BDS1jRNPfXUUzrqqKNkt9vVsWNHXXvttSorK6v33E8//XSwbc+ePTVv3jx5vd4mXxcAAAAAtCYCrTAz3W5VvfGG5POFu5Sm8XpV9de/ynS7G202adIkrV+/Xh07djxIhbWOd955Rw8++KAuu+wyrVu3Th999FG4S2pVDQVaQ4YM0fr16zVkyJCDXlN1dbXmzZsXljCtuXbu3Kl58+Y1K9C67rrrNH/+fM2YMUOrV6/W2WefrZtuukkPPfRQk8/x0EMPaf369SE//fv3D2lz22236ZZbbtFZZ52llStX6q677tKyZcs0duzYOkHVgw8+qJtuuknnnHOOVq9ereuuu04PPfSQZsyY0eSaAAAAAKA1MeUwzLxbt8qsqAh3Gc1iVlTIu3WrogcPbrBNu3bt1K5du4NXVAurrq5WXFycvvvuO0nSjTfeqMzMzDBXFT5JSUkaNmxYuMs45Hz//fdaunSpHnzwQd1+++2SpNGjR6ukpEQPPPCArrnmGqWlpe3zPL1792709cnLy9OTTz6pGTNm6OGHH5YkjR07VpmZmbr44ouVlZWlq666SpKCfV911VXBUG306NHyer2aPXu2br75ZvXr1+9ALx0AAAAADggjtMLM++234S5hv+yr7vqmHH799deaPHmyMjMzZbfb1alTJ02aNEk7duwItnG5XJo1a5Z69uyp6Ohode7cWTNmzJDD4Qg5/8cff6zRo0crPT1dsbGx6tatm84991xVV1dLangqWU5OjgzDUFZWVnDbtGnTlJCQoG+//Vbjxo1TYmKiTj31VPXo0UOzZ8+WJLVv316GYWju3LmSpDfffFPjxo1Tx44dFRsbq759++quu+5SVT0L+X/++ec644wzlJ6erpiYGPXq1Us333xzSJsff/xRF198cfDe9O3bV4sXL270HtcyTVNLlizR4MGDFRsbq9TUVE2dOlW//PJLSLt93X/DMFRVVaWXX345OG1t9OjRDd7P2vu2bds2jR8/XvHx8erYsaMWLFggSdqwYYNOPvlkxcfH68gjj9TLL78cUs+uXbt03XXXqV+/fkpISFBmZqZOOeUUffrppyGvV20wOm/evGBd06ZNa/a927ZtmyZMmKC4uDhlZGTommuuUUUTw+SffvpJ06dPV+/evRUXF6fOnTvrjDPO0Ld7/D3Izs7WcccdJ0maPn16sNba90x93n77bZmmqenTp4dsnz59umpqarRq1aom1bcvGzZskN/v18SJE0O2T548WZK0fPny4LZVq1bJ5XLVW5NpmvWO4AMAAACAg40RWmEWcDrDXcJ+aW7dVVVVGjt2rHr27KnFixerffv2Kigo0Nq1a4OhgmmamjJlitasWaNZs2ZpxIgR2rx5s+bMmROcRmW325WTk6NJkyZpxIgRevHFF5WSkqK8vDytWrVKHo9HcXFxzb4ej8ejM888U3/84x911113yefzqV27dlq8eLGWLl2qVatWKTk5WV26dJG0O0SZOHGibr75ZsXHx2vbtm16+OGH9cUXX+jjjz8Onnf16tU644wz1LdvXz3xxBPq1q2bcnJy9MEHHwTbbNmyRSeddJK6deumxx9/XB06dNDq1at14403qri4WHPmzGm09j/+8Y/KysrSjTfeqIcfflilpaW67777dNJJJ+mbb75R+/btm3T/169fr1NOOUVjxozRvffeK2n3yKzGeL1enXPOObrmmmt0++23a9myZZo1a5acTqeWL1+uO++8U126dNHTTz+tadOmqX///jr22GMlSaX/WzNuzpw56tChgyorK7VixQqNHj1aa9as0ejRo9WxY0etWrVKEyZM0BVXXKErr7xSkoIhV1PvXWFhoUaNGiWbzaYlS5aoffv2ev3113X99dc36f2xc+dOpaena8GCBWrXrp1KS0v18ssv64QTTtDXX3+tPn36aMiQIXrppZc0ffp0zZ49W5MmTZKk4HumPt99953atWunDh06hGwfOHBgcH9TzJgxQxdeeKHi4uJ04okn6t5779XJJ58c3O/xeCRJdrs95DibzSbDMLR58+aQmiRpwIABIW07duyojIyMJtcEAAAAAK2JQAsHxbZt21RSUqKlS5fqrLPOCm4///zzg3/+4IMPtHr1aj3yyCPB6Vdjx45V165ddcEFF+iVV17RVVddpa+++koul0uPPvqoBg0aFDz+4osv3u/6vF6v/vSnP9UZlVIbRhx77LHKyMgIbq8duSXtDuKGDx+uvn37atSoUdq8eXMwkJgxY4a6deumzz//XDExMcFj9uxn5syZSkxM1GeffRYMkMaOHSu3260FCxboxhtvVGpqar11b9iwQc8//7wef/xxzZw5M7h9xIgROvLII/XEE0/o4YcfbtL9HzZsmCwWi9q1a9fk6YUej0cPPPCAzjnnHEm7p6atXLlS8+fP16ZNm3TMMcdIkoYOHarMzEwtW7YsGGj16dNHS5YsCZ7L7/dr/PjxysnJ0VNPPaXRo0fLbrcH23fp0qVOXU29d3/+85+1a9cuff3118H3zOmnn65x48bpt99+2+d1jhw5UiNHjgypddKkSTr66KP13HPP6YknnlBSUlJw3apevXo16R6WlJTUO6UwPj5e0dHRKikpafT45ORk3XTTTcHRij/99JMeffRRjR49Wu+//77Gjx8vScEpgv/61780ZsyY4PH//ve/ZZpmSD8lJSWy2+2Kj4+v019aWto+awIAAGhN199wvcpK63+oTX1S01K16OlFrVgRgHAh0AozS1KSAsXF4S6j2Sz7GLmztyOOOEKpqam68847lZ+fr5EjR9ZZh6d2ZNOe08kk6bzzztMf/vAHrVmzRldddZUGDx6s6OhoXX311bruuus0YsQI/e53vzug65Gkc889t8ltf/nlF82ePVsff/yxioqKZJpmcN/WrVs1cOBA/fe//9XPP/+shx56KCTM2pPL5dKaNWt07bXXKi4uTr49Hg4wceJELVq0SBs2bNDpp59e7/ErV66UYRj6/e9/H3Jshw4dNGjQoOAUwabc//1hGEbINDar1aojjjhCVqs1GGZJu4OQzMxM/frrryHHP/vss/rLX/6iLVu2yL3HgwaOOuqoffbdnHu3du1aHX300SEBqLQ7BP3www/32ZfP59Mjjzyi1157TT/99FPIIupbt27d5/GNMQxjv/ZJ0jHHHBNyn0eMGKGzzz5bAwYM0B133BEMtAYNGqSRI0fq0UcfVZ8+fTR27Fht2bJF11xzjaKiomSxhM4+P5CaAAAA9kdTg6qcnBz5TMmw2Br8b+xaVhbYAQ5p/BUPM9te03oiRXPrTk5O1rp16zR48GDdfffdOvroo9WpUyfNmTMnGA6UlJTIarXWWUzeMAx16NAhODKkV69e+uijj5SZmakZM2aoV69e6tWrl5588sn9vp64uLh9Tq+rVVlZqREjRujzzz/XAw88oOzsbG3cuFFvvfWWJKmmpkbS7jWipMannJWUlMjn8+npp5+WzWYL+akNioobCTwLCwtlmqbat29f5/gNGzYEj23K/d8fcXFxdf5DIjo6ut5RR9HR0XK5XMHfn3jiCV177bU64YQTtHz5cm3YsEEbN27UhAkTgvewMc25dyUlJXWm9Umqd1t9Zs6cqXvvvVdTpkzRe++9p88//1wbN27UoEGDmlRrQ9LT0+sd8VRVVSWPx9OkBeH3lpKSosmTJ2vz5s0htf3973/X8OHDdf755ys1NVVjxozROeeco8GDB6tz584hNblcruB6dHsqLS3dr5oAAAD2pay0TIW7SpRX2PiPx+tTQBYFomLki0lv8MflN+QLhPuqALQmRmiFma1vX7k+/jiinnRoJCbK1rdvs48bMGCA3njjDZmmqc2bNysrK0v33XefYmNjdddddyk9PV0+n0+7du0KCbVM01RBQUFwwW1p90iUESNGyO/368svv9TTTz+tm2++We3bt9eFF14YDFn2HPUjNRwONWfUyccff6ydO3cqOztbo0aNCm7fe+H62mvYc9H7vaWmpioqKkqXXnqpZsyYUW+bnj17Nnh8RkaGDMPQp59+Wmd9JCl0zaR93f+D7bXXXtPo0aP1zDPPhGxv6kLtzbl36enpKigoqLO/vm0N1XrZZZcFn/pXq7i4WCkpKU06R31qX5OCgoKQcK12sfnaKYzNVTticM/3dWZmpv75z3+qqKhIBQUF6t69u2JjY7VkyRJNnTo1pKbaGk444YTg9oKCAhUXF+93TQAAAPviC0guvyFrfMP/gGY6HTIkWeJS1PPK1xtst/2FSyQXSyUAhzJGaIWZYbcr/sILJWuEZIs2m+IvukhGPeFJUxmGoUGDBunPf/6zUlJStGnTJknSqaeeKml3eLCn5cuXq6qqKrh/T1FRUTrhhBOCT7WrPVePHj0kKWSxa0l6991397vuPeuX6i6w/dxzz4X8fuSRR6pXr1568cUX6wRrteLi4jRmzBh9/fXXGjhwoIYOHVrnJz09vcFaJk+eLNM0lZeXV++xey/sXVt/ffe/9poOZMRRcxiGUecebt68WevXrw/ZVttm77qac+/GjBmj77//Xt98803IOZYtW7bftb7//vvKy8trUq0NOeuss2QYRp0nQGZlZSk2NlYTJkxo0nn2VFZWppUrV2rw4MH1DsPPzMzUwIEDlZycrGeffVZVVVUhi+NPmDBBMTExIU8Cra3JMAxNmTKl2TUBAAA0lTU+TT2vfL3BH1miwl0igDYiQlKUQ1tUp06Kv/hi1axcqcD/nvzWFlnS0hQ7ebKiOnZs9rErV67UkiVLNGXKFP3ud7+TaZp666235HA4NHbsWEm7F/MeP3687rzzTjmdTg0fPjz4lMNjjjlGl156qaTd6y59/PHHmjRpkrp16yaXy6UXX3xRknTaaadJ2j2V7LTTTtP8+fOVmpqq7t27a82aNcFpgQfipJNOUmpqqq655hrNmTNHNptNr7/+ep2wRJIWL16sM844Q8OGDdMtt9yibt266bffftPq1av1+uu7/0XpySef1Mknn6wRI0bo2muvVY8ePVRRUaGffvpJ7733XshTE/c2fPhwXX311Zo+fbq+/PJLjRw5UvHx8crPz9dnn32mAQMG6Nprr23S/Zd2j87Jzs7We++9p44dOyoxMVF9+vQ54HtWn8mTJ+v+++/XnDlzNGrUKP3www+677771LNnz5D1sBITE9W9e3e98847OvXUU5WWlqaMjAz16NGjyffu5ptv1osvvqhJkybpgQceCD7lcNu2bU2uNSsrS0cddZQGDhyor776So8++mid6aS9evVSbGysXn/9dfXt21cJCQnq1KmTOnXqVO95jz76aF1xxRWaM2eOoqKidNxxx+mDDz7QX/7yFz3wwAMh0/vuu+8+3XfffVqzZk1wZODFF1+sbt26aejQocrIyNCPP/6oxx9/XIWFhXUCqeeffz5Yo8Ph0P/93/9p6dKleuihhzRkyJBgu7S0NM2ePVv33nuv0tLSNG7cOG3cuFFz587VlVde2SJrrwEAAADAgSLQaiOsPXsq4dpr5fnqK/lychQoKlKgsjLcZcmSkCBLZqasPXooeuhQGVH79y8ivXv3VkpKih555BHt3LlT0dHR6tOnj7KysnT55ZdL2j0K5u2339bcuXP10ksv6cEHH1RGRoYuvfRSPfTQQ8HRL4MHD9YHH3ygOXPmqKCgQAkJCerfv7/effddjRs3Ltjnq6++qhtuuEF33nmn/H6/zjjjDP31r3/V0KFDD+iepKen6/3339ett96q3//+94qPj9dZZ52lN998MyQYkKTx48frk08+0X333acbb7xRLpdLXbp00Zlnnhls069fP23atEn333+/Zs+eraKiIqWkpKh3794hC6435LnnntOwYcP03HPPacmSJQoEAurUqZOGDx+u448/vsn3X9odrs2YMUMXXnihqqurNWrUqODC8i3tnnvuUXV1tZYuXapHHnlE/fr107PPPqsVK1bU6XPp0qW6/fbbdeaZZ8rtduvyyy9XVlZWk+9dhw4dtG7dOt10003BReTPPvtsLVq0KOSpjw158sknZbPZNH/+fFVWVmrIkCF66623Qp52Ke0eNfbiiy9q3rx5GjdunLxer+bMmaO5c+c2eO4lS5aoc+fOevrpp1VQUBAM6m644YaQdoFAQH6/P+QBBAMHDtSbb76pZ599VpWVlUpLS9PJJ5+sV199NWSKrrR7GuLChQv166+/ymKx6JhjjtGKFSvqvf577rlHiYmJWrx4sR577DF16NBBd911l+6555593isAAAAAOBgMc89vR2gxO3bsUNeuXSVJubm5jS4MDgAAAODg2bx5s3Y6dsrhcah3v97hLueguOSSS5RXWCJfTHqja09tXTBchsWiqOTO6v3HNw643fYXLpHVVaLO7dODMxQORn1N7TeS/LjlR6VEp6hTSicNHDgw3OUATdZa+QgjtAAAAAAArcJdmiu3z62cmgpdcsklDbbLycmRT1YZNv9BrA5AJCPQAgAAAAC0CjPglwyLfLIqr7Dhpw56vD7JahFLvgNoKgItAAAAAECrMaKsMq2x8sU0/PRu0+mQcRBrAhD5CLQAAAAAAK3KEpeyz7WxAKA5LOEuAAAAAAAAAGgOAi0AAAAAAABEFAItAAAAAAAARBQCLQAAAAAAAEQUFoVvoyZMmKCioqJwlyFJyszM1KpVq8JdBgAAAAAAgCQCrTarqKhIuTsL5PWHtw5bVHj7BwAAAAAA2BtTDtswr1+q9lnkjesQlp9qnyXsgVpLys7OlmEYys7ODm6bO3euDMMIabdkyRJlZWW1Sg2jR4/W6NGjW+XcjfWTk5MjwzCafV3Lli3TwoULm3VMfX3V3ufi4uJmnasxW7Zs0dy5c5WTk1Nn37Rp09SjR48W6wsAAAAA0LYwQquNsyVlqt+9m8LS95b7h0jVBWHp+2C58sorNWHChJBtS5YsUUZGhqZNmxaeolpBx44dtX79evXq1atZxy1btkzfffedbr755lbvq7m2bNmiefPmafTo0XXCq3vvvVc33XRTq/YPAAAAAAgfAi0c1rp06aIuXbqEu4xWZ7fbNWzYsFbtw+/3y+fzHZS+9qW1wzQAAIC24vobrldZadk+2+Xk5MgnqwzbITQFA8BhjSmHaBU//fSTpk+frt69eysuLk6dO3fWGWecoW+//TakXe00wGXLlunOO+9Ux44dlZCQoDPOOEOFhYWqqKjQ1VdfrYyMDGVkZGj69OmqrKwMOYdhGLr++uv13HPP6cgjj5Tdble/fv30xhtv7LPOvacc9ujRQ99//73WrVsnwzBkGEZw9E9WVpYMw6gzxa2+qYymaeqRRx5R9+7dFRMToyFDhuj//u//6q3B6XTqtttuU8+ePRUdHa3OnTvr5ptvVlVV1T7rb2o/9U0D3LVrl66++mp17dpVdrtd7dq10/Dhw/XRRx9J2j1t8f3339evv/4avBe196r2fI888ogeeOAB9ezZU3a7XWvXrm10emNubq7OOeccJSUlKTk5Wb///e+1a9eukDaGYWju3Ll1ju3Ro0dw1FxWVpbOO+88SdKYMWOCtdX2Wd+UQ5fLpVmzZoXc5xkzZsjhcNTpZ/LkyVq1apWGDBmi2NhYHXXUUXrxxRcbeBUAAADCp6y0TIW7SpRX2PiPx+tTwAyEu1wAaDGM0EKr2Llzp9LT07VgwQK1a9dOpaWlevnll3XCCSfo66+/Vp8+fULa33333RozZoyysrKUk5Oj2267TRdddJGsVqsGDRqkv/71r/r666919913KzExUU899VTI8e+++67Wrl2r++67T/Hx8VqyZEnw+KlTpza57hUrVmjq1KlKTk7WkiVLJO0e3dRc8+bN07x583TFFVdo6tSpys3N1VVXXSW/3x9y7dXV1Ro1apR27Nihu+++WwMHDtT333+vP/3pT/r222/10Ucf1Vnja3/6qc+ll16qTZs26cEHH9SRRx4ph8OhTZs2qaSkRNLuqZdXX321fv75Z61YsaLeczz11FM68sgj9dhjjykpKUm9e/dutM+zzz5b559/vq655hp9//33uvfee7VlyxZ9/vnnstlsjR67p0mTJumhhx7S3XffrcWLF2vIkCGSGh6ZZZqmpkyZojVr1mjWrFkaMWKENm/erDlz5mj9+vVav359yOv8zTff6NZbb9Vdd92l9u3b64UXXtAVV1yhI444QiNHjmxynQAAAAeDLyC5/Ias8WkNtjGdDjX8X5UAEHkItNAqRo4cGfLF3+/3a9KkSTr66KP13HPP6YknnghpP3DgQL300kvB37dt26aFCxfqxhtv1KOPPipJGjt2rNavX6/XX3+9TqBVXFysjRs3qn379pKkiRMnqn///po1a1azAq1jjjlGsbGxSkpK2u9pcw6HQw8//LDOPvtsvfDCC8HtRx99tIYPHx4SND311FPavHmzPv/8cw0dOlSSdOqpp6pz586aOnWqVq1apdNPP/2A+6nPv/71L1155ZW66qqrgtvOOuus4J/79eunlJSURqcQxsTEaPXq1SFhVH2LtNc655xz9Mgjj0iSxo0bp/bt2+uSSy7R3/72N11yySWN1rundu3aBcOzfv367fO1+uCDD7R69Wo98sgjuv322yXtfj917dpVF1xwgV555ZWQ+1BcXKx//etf6tatm6Td7+c1a9Zo2bJlBFoAAKBNssanqeeVrze4f+uC4QexGgBofUw5RKvw+Xx66KGH1K9fP0VHR8tqtSo6Olo//vijtm7dWqf95MmTQ37v27evpN0jcfbeXlpaWmfa4amnnhoMsyQpKipKF1xwgX766Sft2LGjpS6rSdavXy+Xy1UnoDnppJPUvXv3kG0rV65U//79NXjwYPl8vuDP+PHj60xjPJB+6nP88ccrKytLDzzwgDZs2CCv19v0i/yfM888s1kjq/au9fzzz5fVatXatWub3XdzfPzxx5JUZ6H/8847T/Hx8VqzZk3I9sGDBwfDLGl3cHfkkUfq119/bdU6AQAAAABNQ6CFVjFz5kzde++9mjJlit577z19/vnn2rhxowYNGqSampo67dPSQodHR0dHN7rd5XKFbO/QoUOdc9Zuq51Cd7DU9tdYTbUKCwu1efNm2Wy2kJ/ExESZpqni4uIW6ac+b775pi6//HK98MILOvHEE5WWlqbLLrtMBQVNf7Jlx44dm9y2vrqsVqvS09Nb/TUqKSmR1WpVu3btQrYbhqEOHTrU6T89Pb3OOex2e73vXQAAAADAwceUQ7SK1157TZdddpkeeuihkO3FxcVKSUlp8f7qC2Fqt9UXTuyPmJgYSZLb7Q7ZvnfoVNtfQzXtuVh5RkaGYmNjG1xwPCMjo8F6mtNPQ+deuHChFi5cqN9++03vvvuu7rrrLhUVFWnVqlWNHlursfW96lNQUKDOnTsHf/f5fCopKQl5jex2e517LB1YMJmeni6fz6ddu3aFhFqmaaqgoEDHHXfcfp8bAAAAAHDwMUILrcIwjDqLqb///vvKy8trlf7WrFmjwsLC4O9+v19vvvmmevXqpS5dujTrXA2NxKkNiDZv3hyy/d133w35fdiwYYqJidHrr4euYfDvf/+7zpS1yZMn6+eff1Z6erqGDh1a56exUKo5/exLt27ddP3112vs2LHatGlTcHtLj0rau9a//e1v8vl8Gj16dHBbjx496tzjjz/+uM4009r3V1PqO/XUUyXtDlr3tHz5clVVVQX3AwAAAAAiAyO02jivs0hb7h8Str5t+/kOmTx5srKysnTUUUdp4MCB+uqrr/Too482O1xqqoyMDJ1yyim69957g0853LZtm954441mn2vAgAF644039Oabb+p3v/udYmJiNGDAAB133HHq06ePbrvtNvl8PqWmpmrFihX67LPPQo5PTU3VbbfdpgceeEBXXnmlzjvvPOXm5mru3Ll1ptzdfPPNWr58uUaOHKlbbrlFAwcOVCAQ0G+//aYPPvhAt956q0444YR662xOP3srLy/XmDFjdPHFF+uoo45SYmKiNm7cqFWrVumcc84JuRdvvfWWnnnmGR177LGyWCzBxev3x1tvvSWr1aqxY8cGn3I4aNAgnX/++cE2l156qe6991796U9/0qhRo7RlyxYtWrRIycnJIefq37+/JOkvf/mLEhMTFRMTo549e9Y7Im/s2LEaP3687rzzTjmdTg0fPjz4lMNjjjlGl1566X5fEwAAAADg4CPQasNsUVKcAlJ109c0atH+rbtr2B9PPvmkbDab5s+fr8rKSg0ZMkRvvfWWZs+e3bJF/s+ZZ56po48+WrNnz9Zvv/2mXr166fXXX9cFF1zQ7HPNmzdP+fn5uuqqq1RRUaHu3bsrJydHUVFReu+993T99dfrmmuukd1u14UXXqhFixbVWbz+vvvuCwZrr776qo466ig9++yzeuyxx0LaxcfH69NPP9WCBQv0l7/8Rdu3b1dsbKy6deum0047bZ/TBpvaz95iYmJ0wgkn6NVXX1VOTo68Xq+6deumO++8U3fccUew3U033aTvv/9ed999t8rLy2WapkzTbN4N3cNbb72luXPn6plnnpFhGDrjjDO0cOHC4NpoknT77bfL6XQqKytLjz32mI4//nj97W9/C3kCoyT17NlTCxcu1JNPPqnRo0fL7/frpZdeqrPwu7R7xODbb7+tuXPn6qWXXtKDDz6ojIwMXXrppXrooYfqjCYEAAAAALRthnkg307RoB07dqhr166SpNzc3GaPTJowYYKKiopao7Rmy8zMbPKaSuFgGIZmzJihRYsWhbsUAAAARIDNmzdrp2OnHB6HevfrHe5yDsgll1yivMIS+WLS1fPK1xtst3XBcBkWi6KSO6v3HxuexXCotNv+wiWyukrUuX16nWUvItWPW35USnSKOqV00sCBA8NdDtBkB5qPNIQRWm1UWw6QAAAAAAAAwolF4QEAAAAAABBRGKGFiMesWQAAAAAADi+M0AIAAAAAAEBEIdACAAAAAABARCHQAgAAAAAAQEQh0AIAAAAAAEBEIdACAAAAAABARCHQAgAAAAAAQEQh0AIAAAAAAEBEIdACAAAAAABARCHQAgAAAAAAQEQh0AIAAAAAAEBEIdACAAAAAABARCHQAgAAAAAAQEQh0AIAAAAAAEBEIdACAAAAAABARCHQAgAAAAAAQEQh0AIAAAAAAEBEIdACAAAAAABARCHQAgAAAAAAQEQh0AIAAAAAAEBEiehA65lnntHAgQOVlJSkpKQknXjiifq///u/BttnZ2fLMIw6P9u2bTuIVQMAAAAAAOBAWMNdwIHo0qWLFixYoCOOOEKS9PLLL+uss87S119/raOPPrrB43744QclJSUFf2/Xrl2r1woAAAAAODjcpbly+9zKqanQJZdcss/2qWmpWvT0ooNQGYCWEtGB1hlnnBHy+4MPPqhnnnlGGzZsaDTQyszMVEpKygH1vWPHjkb35+fnH9D5AQAAAKCtME1TCgRkREWFu5QmMQN+ybDIJ6vyCksabWuN6HlLwOErogOtPfn9fv39739XVVWVTjzxxEbbHnPMMXK5XOrXr59mz56tMWPGNLu/rl277m+pAAAAABARTNOU1+GUu6R8d6BltSoq2iaZyTLNgBSIkmkGZBhtLxUyoqwyrbHyxaQ32MZXVaoYmQexKgAtJeIDrW+//VYnnniiXC6XEhIStGLFCvXr16/eth07dtRf/vIXHXvssXK73Xr11Vd16qmnKjs7WyNHjjzIlQMAAABA2xXw+uQqKJa/xiVfZY0CXq8sVqt8NqtkpkiBgExvqip/zJXFZpXFHq0ou01GtE1R9mgZtvB/3bTEpajnla83uH/7C5dIrsZHcAFom8L/CXOA+vTpo//85z9yOBxavny5Lr/8cq1bt67eUKtPnz7q06dP8PcTTzxRubm5euyxx5odaOXm5ja6Pz8/X8cff3yzzgkAAAAAbYLfrupfdyrg8cnjcMr0eGVE2+RzV0sBU1KqZBoK+OLkdThlWK0ybFZZrFEyov43WsswpECmTAUkf4x8VTW7Ay9rxH8NBdAGRPwnSXR0dHBR+KFDh2rjxo168skn9dxzzzXp+GHDhum1115rdr9dunRp9jEAAAAA0KaZFpmBdJm+RHkrquVzVkoWQ9EZKbJE23Y38QcklUuyyTBiFPD6ZNa4JfN/U/csxu6piTarpETJDCjgS1BNXqEkyYiKkiXapqgYu6LTkiJmXS4AbUvEB1p7M01Tbre7ye2//vprdezYsRUrAgAAAIC2z1dZLZkdJEUr4IuRr7xCUXExsiUn7B5t9T+7R2B5JcMnI8ole7tUSZLp8yvg88n0+hTw+uVze7Q70DJk+hLlKiyRYbMqymqVYYuSJTpavqpqxXVpH5brBRDZIjrQuvvuu3X66aera9euqqio0BtvvKHs7GytWrVKkjRr1izl5eXplVdekSQtXLhQPXr00NFHHy2Px6PXXntNy5cv1/Lly8N5GQAAAAAQNmYgIHdRqbzOSkkxkpkkySpbWpKiYuxNPo9hjVKUNUoKOaZYkk2GxSprrF0Br0++apcUCEhRUbJnpKgmr0gyjYZOCwD1iuhAq7CwUJdeeqny8/OVnJysgQMHatWqVRo7dqyk3etY/fbbb8H2Ho9Ht912m/Ly8hQbG6ujjz5a77//viZOnBiuSwAAAACAsPHXuOTKL5bf4909vVBJkrwyrJXNCrMaZfhkWHyyJiUEN5k+v9wlDrlLHJJSJLOdTLO0ZfoDcFiI6EBr6dKlje7PysoK+f2OO+7QHXfc0YoVAQAAAEDbZ5qmPMVl8pQ5FXB75SlzSjIlVUiGR4YyWrV/wxole3qK3MUOuUvLJdklM2N3CQDQBBEdaAEAAAAAmsfvcstVWKKAyyOfs1K+qhoZ0TZFpyRKcks6ONP/DGuU7BnJchc7tHuUllOmN1FmICDDYjkoNQCIXARaAAAAAHAYME1J/lhV5xYo4PHK46iQfH5Zk+JlTYgLS02G1Sp7RookQzKTZJpWufKKFNMlU4ZBqAWgYXxCAAAAAMChzrRKZqYCvnj5KqrkKXbIkGRvlxK2MKuWYbVKKpcUJdMXJ1+1S668XTJN5h8CaBiBFgAAAAAcwrzlFZLZXjJjdwdGzipZE2Jlb5f6vzCpLfBrd6hlkbvEIV9VjVz5hFoAGtZWPr0AAAAAAC3I9PnkKiyRr6pGUqxkJkqyKDojRZZoW7jLq8vwyYiqken1yV1SLklyaZdiOraTYRycdb0ARA4CLQAAAAA4xHgrquQuKv3/a2UpQZJLhlVtM8z6H8PwKzotWZ7S8v89/VByGSWK6ZBOqAUgBIEWAAAAABxCPCUOuUsc8rvc8joq/re1fPcIKMWEtbamsNhtik5LkqfUKU/Z7lDLbUj29ulhrgxAW0KgBQAAAACHCH+Na/caVBVV8lVUyxJjV3RKgiSvpMgZ4WSxR8uWmiRvmVMeh3N36YYkltQC8D8EWgAAAABwCDDNgFwFJQp4fPJVVMuaGCdrYny4y9pvUTHRUmqivKVOeY3akWYpkpxhrApAW0GgBQAAAACHAE+xY/eaWWVOGdG2iA6zakXF2KX/jdSSJJkJMgORM9IMQOsh0AIAAACACGcGrPKUOeVzVkqBgKLTk8NdUouJirVLSpS3rEJSvGQaki8u3GUBCDNLuAsAAAAAAOw/05QCvgQF3F75qmpkTYyXYY0Kd1ktKio2RtaUREmxu0dp+ePkKXGEuywAYUSgBQAAAAARLBBIkhmIksfxv6mGCbHhLqlVWONiJFVKipHpt8td4gg+BRHA4YcphwAAAAAQoXw+m0y/TVK0FDAVnZ4Y7pJamUuSIdNMlK+iSpJkyJAtNSm8ZQE46Ai0AAAAACAC+fwBud0JMuWS6Y+WNenQm2pYL8Mlw+KWr6JaMgy5JMkwZEs51MM8AHsi0AIAAACACPTLL6UKBCwK+OMlm1/W+ENzqmF9DItH1sQ4+ZxVkgy5VLI71EpOCHdpAA4SAi0AAAAAiDClZTUqKKiU12eX5JUR5Qp3SQedNTFeMs3dT3Y0DLkKiyWLZEsk1AIOBwRaAAAAABBBfD6//vvfElVWeuX32WRYnDKN6HCXFRbWpASZpuQrr5BhSK6CElljY8JdFoCDgEALAAAAACLIz7+Uqabaq7wdTlmi/LIYbgV0eAZaknZPMzRNecsrZbFHy13sCHdJAA4CAi0AAAAAiBAlpdUqLKxUQUGlAqYpm60m3CW1CbakBPlduxeKN6IskmmT5A93WQBakSXcBQAAAAAA9s3n8+vH/5aqosIjh8OlDh0SZDHMcJfVNlgMWRPi5a92yfT5JDMl3BUBaGUEWgAAAAAQAX76qUw1NV7tzKtQQkK0UlNZK2pP1oRYyWqRp7xKkl2myf0BDmUEWgAAAADQxhWXVKtoV6Xy/zfVsFPnxHCX1CbZkuJluj2SbJKZLDGADThkEWgBAAAAQBvm9fr1439L5HR6VO5wqWPHBNlsfJWrT1SMXUa0TVKCZFqlAKO0gEMVn4IAAAAA0Ib99FOpalw+5e+sUGJStFJSCGkaY0tKkBQlKUamL06mn8XhgUMRgRYAAAAAtFG7dlVpV3GV8vMrdk817MRUw32xRFsluSUzTqYs8pQ5w10SgFZAoAUAAAAAbZDH69NPP5Wq3OGWs9ytTh0TZLXyFa5pqiRZpEC0PGVOBby+cBcEoIXxaQgAAAAAbdCPP5aqxuVVfkGFEpPsSmaqYTMEJNXIDETL9PnlLnaEuyAALcwa7gIAAAAAAKGuvvoWFRb65PbEyQxYZLdXyTDqPrKvsKhIfkXJYuVxfnVVS5J8FVUyoizypyYqKsYe5poAtBQCLQAAAABoQ9wen4qKvCop88jntyrKUqWqGk+9bX1+v2QYB7nCCGGYMixu+atdssbHyr2rTHFdO4S7KgAthEALAAAAANqQH38slT8QJZ8/Tn7TK9ntkhoYWeSqOqi1RRyLV7JGyVNeKcNmlbeiSrbE+HBXBaAFEGgBAAAAQBtRUFip0tJqeb0xMuRWVKxFHcbNbLD9jn/ceRCrizyGJFtSvLylTvldHnmKHbImxMlgVBsQ8VgUHgAAAADaALfHp19+KZPD4VLAHyWLpUqqZ90sNE9UjF1GtE1eZ6UCXq98jopwlwSgBRBoAQAAAEAb8N8fSlRT41V+fqWirF4ZhjfcJR0ybMkJks8vX5VL7tJymX5/uEsCcIAItAAAAAAgzAoKKlXmqNHOvApZDEM2qzvcJR1SLDarouJi5KuolOnzy1NaHu6SABwgAi0AAAAACCOX26effylVWZlLlZUedeqcKIOphi3OmhgvmZKvokoeR4UCXkbAAZGMQAsAAAAAwujH/5aopsangoJKpabGKDExOtwlHZKMKIusCbHyVdXI9Pnl3uUId0kADgCBFgAAAACESVlZjcocNcrfuXuqYfv2CeEu6ZBmTYiTDMnrrJKvskpmwBrukgDsJwItAAAAAAiT3B3lqq72qbLSow4dEhRlNcJd0qHNMGRNTFCgxqWA16eAL04mszuBiESgBQAAAABhUFHhlsPhUnFxtWzRUUpKtoe7pMOCNT5GskbJW14pM2CVacaEuyQA+4FACwAAAADCIHeHU26XXxVOt9q1i5PB4KyDxpaUINPjlQJWBfyJjNICIhAThgEAAADgIKuu8aq4uEolJdWyWi1KTmaU0MEUFRMtv90mM2CXaUbJ62N0HBBpGKEFAAAAAAfZjh3l8noDcjjcSs+IlYVvZgedLTlBMi2SGSOPO0Zerz/cJQFoBj42AQAAAOAgcnt8KiqsUklJjQyLlJYaG+6SDkuG1SpZvPIHYmSaFv36qyPcJQFoBgItAAAAADiI8vIq5PUGVFZWo/S0WFmiWDwrXAyLW4Ykry9a+fmVqq7xhrskAE1EoAUAAAAAB4nP51d+foVKy2pkBqS0dEZnhZVhyrC45PdFy+3x65dfysJdEYAmItACAAAAgINkZ36FvJ6ASkqqlZIaI6uVr2ThZhguGYapwsJKlZZWy+FwhbskAE3ApycAAAAAHAT+QEB5OyrkcLgU8JvKyGB0VltgSLLZ3HKWu1Vd5dMv28tkmma4ywKwDwRaAAAAAHAQFBZWyeP1q7ikSknJdkVHR4W7JPyPxeJVTIxVBYWVqqx0q2hXVbhLArAPBFoAAAAA0MpM09SOHeVylrvk9QSUkREX7pKwB8OQOnRIUE21V+UOt7Zvd8gfCIS7LACNINACAAAAgFa2q7hKLpdPxcU1ik+wKSbGGu6SsJf4BJsSE6NVWFQpl8unvDxnuEsC0AgCLQAAAABoZbm5TlVUeOVy+dQuIz7c5aAB7dvHy+cNqLS0Rr/95pTH6wt3SQAaQKAFAAAAAK2otKxGVVUeFRdXKTbOpvgEW7hLQgPsMValpMZq164qeTx+5eQ4wl0SgAYQaAEAAABAK8rNLVd1tU/VVV6ebBgBMjN3r2+2a1eVCguqVF3jDXNFAOpDoAUAAAAArcRZ4VJ5uUvFxVWKtkcpMdEe7pKwD1arRRkZcSordcnj9Wsna2kBbRKBFgAAAAC0ktxcp9wuvyqcHmVkxMkwwl0RmiItNVYypLLSGhUWVcnn54mHQFtDoAUAAAAAraCq2qOSkmoVF1fLarUoOTkm3CWhiaKshlKSY1RW5pLXG1BhYWW4SwKwFwItAAAAAGgFO3Y45fEEVF7uVkZGnCx8+4ooaekx8vkCqnC6lb+zItzlANgLH6kAAAAA0MJcbp+KCqtUWlotwyKlpjI6K9LExFgVG2dTaVmNqmu8cjhc4S4JwB4ItAAAAACgheXlOeX1BVRa6lJ6WqwsUSyeFYnS02JVXeWVy+XTznxGaQFtiTXcBQAAAADAocTr9Ss/v1KlpTWSpLT02DBXhP2VmGSX1WqotMSl2Bib3B6f7NF8jQbaAkZoAQAAAEAL2plfIZ83oNLSaqWmxshq5WtXpLJYpNTUWDnKXfL5AsrfyeLwQFvBJysAAAAAtBB/IKCdeRVyOGoU8JtKZ3RWxEtNi5VMU+XlLhUUVCpgmuEuCYAItAAAAACgxRQUVMrt8au4uFpJyXZFR0eFuyQcIJvNooREu0pKa+Tx+lRcXBXukgCIQAsAAAAAWkTANLVjh1NOp0teb0AZGXHhLgktJD0tVh63X1WVXu1k2iHQJhBoAQAAAEAL2LWrSm63T8XFNUpIiFZMDIuHHyriE2yyx0SppLRGTqdLlVWecJcEHPYItAAAAADgAJmmqdxcpyoqPHK7fGrXjtFZh5q01FhVVnjk9QaUv7Mi3OUAh72I/ieDZ555Rs8884xycnIkSUcffbT+9Kc/6fTTT2/wmHXr1mnmzJn6/vvv1alTJ91xxx265pprDlLFAAAAAA5FpWU1qq72aNeuasXG2RQXbwt3SWgCX2WxfAGvCotq9Phjjzfa1jQlw8hURsY5stut6tkzRVYra6QB4RLRgVaXLl20YMECHXHEEZKkl19+WWeddZa+/vprHX300XXab9++XRMnTtRVV12l1157Tf/617903XXXqV27djr33HOb1feOHTsa3Z+fn9+s8wEAAACIXLm5TlVX+VRT7VXXbknhLgdNFQhIssivKJWUNT7qyhIlJcTaVVbmUka7eBUUVqlLZ15rIFwiOtA644wzQn5/8MEH9cwzz2jDhg31BlrPPvusunXrpoULF0qS+vbtqy+//FKPPfZYswOtrl277nfdAAAAAA4d5U6XnE6XiourZI+JUmKiPdwloTkMi2SJli86scEmAXelov2moqxe+XwBVThdyt9Zoc6dEmUYxkEsFkCtiA609uT3+/X3v/9dVVVVOvHEE+tts379eo0bNy5k2/jx47V06VJ5vV7ZbAwLBgAAANA8ublOuV0+VVR41LlLosg3Io/FnqAO425tcH/BB49LngpZjIDi4m0qKXUpOSVGDodLqamxB7FSALUiPtD69ttvdeKJJ8rlcikhIUErVqxQv3796m1bUFCg9u3bh2xr3769fD6fiouL1bFjxyb3m5ub2+j+/Px8HX/88U0+HwAAAIDIU1XtUWlptXYV18hmsygpKSbcJaGVpafFKjfXKZfLp535FQRaQJhEfKDVp08f/ec//5HD4dDy5ct1+eWXa926dQ2GWnsPBzVNs97t+9KlS5f9KxgAAADAISM31ymPJyBnuVvt28fLwnPkD3kJiXZZrRaVlrgUG2OTy+1TjD3iv1oDESfiP26jo6N1xBFHaOjQoZo/f74GDRqkJ598st62HTp0UEFBQci2oqIiWa1WpaenH4xyAQAAABwiXG6fdhVVqaSkWoZFSk1ldNbhwGKRUtNi5Ch3yecLqCC/MtwlAYeliA+09maaptxud737TjzxRH344Ych2z744AMNHTqU9bMAAAAANMuOHU55fQGVlbmUnhYrSxSLZx0uUlNjJdOUw+FSfn6FAv+b+QPg4InoQOvuu+/Wp59+qpycHH377be65557lJ2drUsuuUSSNGvWLF122WXB9tdcc41+/fVXzZw5U1u3btWLL76opUuX6rbbbgvXJQAAAACIQF6vXwUFlSotqZYkpaWzjtLhxGazKDHJrpLSGnm8fhUXV4W7JOCwE9ETfQsLC3XppZcqPz9fycnJGjhwoFatWqWxY8dK2r0w+2+//RZs37NnT/3zn//ULbfcosWLF6tTp0566qmndO6554brEgAAAABEoLydFfJ5AyoprVFaWoys1ogeK4D9kJYaq5xyh6qqvNqZV6nMdgnhLgk4rER0oLV06dJG92dlZdXZNmrUKG3atKmVKgIAAABwqPP5A9q5s0JlZTUyA6bS0hiddTiKT7DJHhOl0tJqJSTYVFnpVkKCPdxlAYcN/hkBAAAAAJqhoKBSHo9fJSXVSkqOUXR0VLhLQpikpcWpssIrjyegnfkV4S4HOKwQaAEAAABAEwVMUzt2OFVe7pLXG1BGBqOzDmcpyXYZFslRVqOiomr5fP5wlwQcNgi0AAAAAKCJdu2qktvtU3FxtRIToxUTE9GruOAAWaIMpaTEqLSsRj5fQAWFLA4PHCwEWgAAAADQRPn5laqq8srj9isjIy7c5aANSEuNkd9nyul0KX9nhUzTDHdJwGGBQAsAAAAAmqCmxiun0yWHw6Voe5Ti4m3hLgltgD3GqvgEm0pLXapxeeVwuMJdEnBYINACAAAAgCYoKKjcPRKn3K3U1Jhwl4M2JC0tVjXVXtXU+JS3k8XhgYOBCd8AAAAAsA+maaqwqErl5S5JplJSCLTw/yUm2mW1WlRWWqPYWKtcLh/rqwGtjBFaAAAAALAPpWU18nh8KitzKyExWlYrX6Xw/xmGlJYeK0e5W36fqfx8RmkBrY1PYQAAAADYh4KCStXU+ORyeZWSEhvuctAGpabGSKbkcLhUUFCpAIvDA62KQAsAAAAAGuHx+lRaUiOHwyWr1VBiYnS4S0IbZLValJQcrZLSGnm8fu3aVRXukoBDGoEWAAAAADSiqKha/oAph8OllJQYGUa4K0JblZYaK6/Hr8pKr3bmMe0QaE0EWgAAAADQiIKCSlU43Qr4WQwejYuLtykmxqqy0mpVVLpVUeEOd0nAIYtACwAAAAAa4KxwqbraozKHS7FxNtl5ch32IS09VhUVHnk8Ae1kcXig1RBoAQAAAEADCguq5PEEVFXp2b3oN7APyUl2WaIMlZXWaFdRlbxef7hLAg5JBFoAAAAAUA9/IKCiXVVyOFyyRBlKTrKHuyREAEuUodTUGJU5auTzmyosrAx3ScAhifGyAAAAAFCP4uJq+XwBORw1wVE3B+q5Z/+iysp9T0MrLCqSX1GyWM0D7hMHX1pqrEqKa+R0urQzv0KdOyfJ4GkCQIsi0AIAAACAehQUVKq6yiuvJ6CUzi0z3bCyskJlzgoF9jELzef3i8cpRq5oe5TiE2wqLdn9ZMwyh0tpqbHhLgs4pBBoAQAAAMBeamq8Ki93qczhUrQ9SnHxthY7d8AveUxDFntCw41cVS3WH8IjLS1Wub85VV3t0848J4EW0MIItAAAAABgL4WFVfL7TDnL3WqXGdfi57fYE9Rh3K0N7t/xjztbvE8cXImJdtlsFpWV1iguziqXy6cYnpIJtBgWhQcAAACAPZimqYLCSpWXuyWZPN0Q+8UwpNS0WJWXu+XzmdqZv++10wA0HYEWAAAAAOyhzOGSx+NTWZlLCYnRslr52oT9UxuGOhwuFRRUyh8IhLki4NDBJzMAAAAA7KGgoFIul08ul1cpKYzOwv6zWi1KSrartLRaXq9fu3ZVh7sk4JBBoAUAAAAA/+P1+lVaUi2HwyWr1VBCgj3cJSHCpaXFyusJqLLSo/ydTDsEWgqBFgAAAAD8T2FRlXx+U2VlLiWnxMjCNyYcoLg4q2JirCotqVFFpVsVFe5wlwQcEvh4BgAAAID/KSysVIXTrYDfVCrTDdFC0tJjVVnpkcftZ3F4oIUQaAEAAACApIoKt6qqPHI4XIqNs8keYw13SThEJCfZZYky5HC4VFxczeLwQAsg0AIAAAAA7V4M3vO/tY5qn04HtARLlKHkJLsc5S75/QGVltSEuyQg4hFoAQAAADjs+QMBFe2qUnm5S4Zld/gAtKTk5Bh5PQFVV/tUWFQV7nKAiMcYWgAAAACHveLiavl8AZWV1QSnhwEtKS7eJqvVIofDpfg4m7xev2y2qHCXBUQsRmgBAAAAOOwVFlaqusorryfAdEO0CsOQklPscjpd8gdM7SquDndJQEQj0AIAAABwWHO5fHI4XCpzuGSLjlJcvC3cJeEQlZISI7/PVFWVR0VMOwQOCIEWAAAAgMNaQUGl/D5TznI3o7PQqmJirIqJscrhcMnpdMnl8oW7JCBiEWgBAAAAOGyZpqmCwkqVO92STKWkEGihdSUl21Xh9CjglwqLKsNdDhCxCLQAAAAAHLYcDpc8Hp8cZS4lJETLZuMrElpXcrJdpmmq3OnSLqYdAvuNT2sAAAAAh62Cgkq5XD7V1HiVwnRDHATR/1unrbzcreoaryoq3OEuCYhI1nAXAAAAAADh4PP5VeKslsPhktVqKCHBHu6S0Eb5KovlC3hVWFSjxx97fJ/tExIS9cdrrm5wf0pKjHbmVcjrDahoV5USE3nvAc1FoAUAAADgsFRaViOfYuRwuJSSEiML81fQkEBAkkV+RamkrKLRppaofZ8uKdGufKNSznK3dhVV63c9U2UYRsvUChwmCLQAAAAAHJaKi6sVZY+T38di8GgCwyJZouWLTmywScBdqWi/uc9TRVkNJSRGy+FwKz0jVg6HS6mpsS1ZLXDII9ACAAAAcNipqnKrpsYrb7VLsXE2xcTw1Qj7ZrEnqMO4WxvcX/DB45Kn8RFctVJS7Mr9zSm3y6fCoioCLaCZGFQLAAAA4LBTVFQtn89UVZVXqSwGjzBISLDLEmWovNyt4uJq+QOBcJcERBQCLQAAAACHFb8/oJKS6t1PlzOk5CQW5MbBZ7FIyUm713CrfU8CaDoCLQAAAACHleLiavl8ATmdHiUl7R4lA4RDcrJdXm9ANdU+FRVWhbscIKIQaAEAAAA4rBQUVKq6xiuf169UFoNHGMXF22SzWeRwuFRW5pLH6wt3SUDEINACAAAAcNiorvaqrMylcodbVluU4hNs4S4JhzHDkFJSYlTudMkfMLVrF9MOgaYi0AIAAABw2MjNLVcgYKqy0qOkpOhwlwMoKdmugH/3e5Jph0DTEWgBAAAAOCyYpqncXKccDpdMmUpMZDF4hF9MjFUxMVY5HC5VVLpVU+MNd0lARCDQAgAAAHBYKC6uVk2NVw5HjeJibbJaWQwebUNyil2VFR75faYKixilBTQFgRYAAACAw8Jvv5Wrpsar6mqvkpNZDB5tR3JyjEzTlLPCrV0EWkCTEGgBAAAAOOR5vX4VFFRq165qRUVZlJDA+lloO2w2i+ITbCovd6nG5ZWzwhXukoA2j0ALAAAAwCFvxw6nfL6AiourlZoaI4PZhmhjkpNjVFXplccTUFERTzsE9oVACwAAAMAhLzfXqfJyt3y+gFJSmG6Itic5yS7DMFRevnvaYcA0w10S0KYRaAEAAAA4pJWXu1Re7tKuXVWKj7cpJsYW7pKAOixRhhKTouUsd8nr86usrCbcJQFtmjXcBQAAAABAa8rNdcrj8au83K3u3ZNVVVXW4n089+xfVFlZsc92hUVF8itKFiujb1BXcnKMcn8rl8vl066iaqWnxYW7JKDNItACAAAAcMgKBEzt2OFUcfHu0S5pabGqaoWHyFVWVqjMWaGAv/F2Pr9fLOCFhiQkRCvKaqjc4VZxXLV8/oCsUUysAupDoAUAAADgkJWfXyGv169du6qUlhYrq7X1woGAX/KYhiz2hIYbuVohTcMhw2KRkpJi5HC4lNk+XiUl1Wqf2cj7CTiMEWgBAAAAOGTl5jpVUeGR2+1Tz54prd6fxZ6gDuNubXD/jn/c2eo1ILKlJNtVVlqj6iqvigqrCLSABjB2EQAAAMAhye32qbi4WsXFVbLbo5SYGB3ukoB9iou3yRZtUXm5Sw6HS26PL9wlAW0SgRYAAACAQ9LOnRXy+wMqLXUpPT1OBmtXIUKkJMeo3OmWP2Bq167qcJcDtEkEWgAAAAAOSXl5FSovd8vvDygtLTbc5QBNlpxsV8BvqrLCraIi1l0D6kOgBQAAAOCQU13tVVlZjUpKqhUXZ1NcnC3cJQFNZo+xKjbWKke5S5WVblXXeMNdEtDmEGgBAAAAOOTk5Tnl95tyOFyMzkJESk6OUWWFV36fqaJCRmkBeyPQAgAAAHDIycurkMNRo0DAVHo6gRYiT3KKXZKpcqdbRbsqw10O0OYQaAEAAAA4pDidblVUuFVSUqOEhGjZ7dZwlwQ0m9VqUVy8TQ6HSy6XTxVV7nCXBLQpBFoAAAAADil5eU55vQGVl7sZnYWIlpISo5pqrzyegEpLasJdDtCmEGgBAAAAOKTk5VWorKxGksn6WYhoSYl2GRZD5eUulZW5FDDNcJcEtBkEWgAAAAAOGaWlNaqp8aqkpEaJiXbZbFHhLgnYb5YoQ0lJ0XI4XPL7/XI4XOEuCWgzIjrQmj9/vo477jglJiYqMzNTU6ZM0Q8//NDoMdnZ2TIMo87Ptm3bDlLVAAAAAFpLXp5TbrdfFRVMN8ShITk5Rh63X263XyXF1eEuB2gzIjrQWrdunWbMmKENGzboww8/lM/n07hx41RVte9Hmv7www/Kz88P/vTu3fsgVAwAAACgtZimqZ07K1RaWiPDMJhuiENCQkK0oqyGKio9Ki2rkdfrD3dJQJsQ0Y/7WLVqVcjvL730kjIzM/XVV19p5MiRjR6bmZmplJSU/e57x44dje7Pz8/f73MDAAAAaL7i4mp5PH6VlNQoJSVGUVER/e/3gCTJMHaP0tpe4FEg3VQxo7QASREeaO2tvLxckpSWlrbPtsccc4xcLpf69eun2bNna8yYMc3qq2vXrvtVIwAAAIDWkZdXoZoan6qrPerUad/fCYBIkZwcI78/oOpqr4qK9j0jCTgcHDL/ZGGapmbOnKmTTz5Z/fv3b7Bdx44d9Ze//EXLly/XW2+9pT59+ujUU0/VJ598chCrBQAAANCS/P6A8vMrVFJSragoQykpMeEuCWgxcXFWWW1RqnC6VVbmksvlC3dJQNgdMiO0rr/+em3evFmfffZZo+369OmjPn36BH8/8cQTlZubq8cee2yf0xT3lJub2+j+/Px8HX/88U0+HwAAAID9V1RUJZ8voJKSGqWmxspiMcJdEtCiEhNtqiz1KBAwlZfnVK9ejELE4e2QCLRuuOEGvfvuu/rkk0/UpUuXZh8/bNgwvfbaa806Zn/6AQAAANA68vIqVFnpldvtU48eyeEuB2hxiQl2VRfvfoLnjh0EWkBETzk0TVPXX3+93nrrLX388cfq2bPnfp3n66+/VseOHVu4OgAAAAAHg9frV2FhpUpLq2WzWZSUZA93SUCLs0VbFBtrk8PhktPpltPpDndJQFhF9AitGTNmaNmyZXrnnXeUmJiogoICSVJycrJiY3c/onfWrFnKy8vTK6+8IklauHChevTooaOPPloej0evvfaali9fruXLl4ftOgAAAADsv4KCSvn9u6cbpqXFyjCYbohDU2JCtCpLPfJ6A8rLcyopqV24SwLCJqIDrWeeeUaSNHr06JDtL730kqZNmyZp91pWv/32W3Cfx+PRbbfdpry8PMXGxuroo4/W+++/r4kTJx6ssgEAAAC0oLy8ClVUeOT1+pWeHhfucoBWk5QULVepqdLSGuXlVeioozIIcHHYiuhAyzTNfbbJysoK+f2OO+7QHXfc0UoVAQAAADiY3G6fiourVVJSLbs9SgkJ0eEuCWg1UVEWJSTYVVJSrfbt41VaWkOIi8NWRK+hBQAAAODwtnNnhfz+gEpLXXyxx2EhJcWuykqP3G6/duxwhrscIGwItAAAAABErLy8Cjmdbvn9AaWlxYa7HKDVJSbaFRVlqLi4Wvn5lQoE9j1zCTgUEWgBAAAAiEjV1V6VldWopKRGcXE2xcXZwl0S0OosFotSUmJVUlIdfMIncDgi0AIAAAAQkfLynPL7TZWV1TA6C4eVjIxYuVw+VVZ6mXaIwxaBFgAAAICIlJdXIYejRoGAqfR0Ai0cPpKS7LLZLCotrVZRUZW8Xn+4SwIOOgItAAAAABHH6XSrosKtkpIaJSREy26P6Ae4A81iGIbS0+NUUlIjvz+gwsKqcJcEHHQEWgAAAAAizs6dFfJ6AyovdzPdEIel1NQYeb1+VVZ6lZfHtEMcfvhnDAAAAAARZ8cOp8rKaiQx3RCHp4SEaNlsUSotrVFSkl1er182W1S4ywIOGkZoAQAAAIgopaU1qqnxqqSkRomJdr7E47C0e9phrEpLaxQIBFRQwNMOcXgh0AIAAAAQUXburJDb7VdFhZvRWTispaXFyuv1q6LCo507K8JdDnBQEWgBAAAAiBimaWrnzgqVltbIMAzWz8JhLSEhWtHRu6cd7tpVLY+Hpx3i8EGgBQAAACBiFBdXy+32qaSkRikpMYqK4isNDm9pabEqK3Mx7RCHHT79AQAAAESMvLwK1dT4VF3tYbohIKYd4vBFoAUAAAAgIvj9AeXnV6ikpFpRUYZSUmLCXRIQdgkJ0bLbo1RSUqPiYqYd4vBBoAUAAAAgIhQVVcnnC6ikpEapqbGyWIxwlwS0CbunHe5+2mF+PqO0cHgg0AIAAAAQEfLyKlRZ6ZXb7WO6IbCHtLRY+XwBOZ1MO8Thg0ALAAAAQJvn9fpVWFip0tJq2WwWJSXZw10S0GbEx0fLbreqtLRaJSU1crt94S4JaHUEWgAAAADavIKCSvn9u6cbpqXFyjCYbgjsKT09VqWlrv+tNcfTDnHoI9ACAAAA0Obl5VWoosIjr9ev9PS4cJcDtDlpabHy+5l2iMMHgRYAAACANs3t9qm4uFolJdWy26OUkBAd7pKANicuzrbHtMNquVxMO8ShjUALAAAAQJu2c2eF/P6ASktdjM4CGpGeHquyMpcCAZOnHeKQR6AFAAAAoE3Ly6uQ0+mW3x9QWhpPNwQa8v+nHbqZdohDHoEWAAAAgDarutqrsrIalZTUKC7Oprg4W7hLAtqsuDibYmKsKimpUWlpDdMOcUiztubJN2/eLIfDoZEjR0qSKisrdccdd2jTpk0aN26c5s2bx9NJAAAAADQoL88pv99UWVmNOnVKDHc5QKN8lcXyBbwqLKrR4489vs/2CQmJ+uM1V7doDWlpsSosrFQgkKL8/Ar17JnaoucH2opWHaE1c+ZMrVy5Mvj7Pffco+eff14ej0fz58/XokWLWrN7AAAAABEuL69CDkeNAgFT6elMN0QbFwhIssivKJWUVTT6U+asUGVly08L3D3t0GTaIQ55rRpofffddzrppJMkSaZp6vXXX9e8efO0adMm3XnnnXrxxRdbs3sAAAAAEczpdKuiwq2SkholJETLbm/VCSZAyzAskiVavujEBn88pqGAv3W6j4uzKTb2/087rKnxtk5HQJi16v8jOBz/j707D5O0Lu/9/3nqqb33rl6mZwcEBFR0QBQ9iMYTFCIGD0SIJ3GJMRcXLr+RGA1GhdGckHjUEBdQT1RicLuMS8wJB+UYUGPICTuEYYBZe1+qqmvfnu33R800NDO9zExXP1Xd79d19cV01bfruXuY6u769H1/vxn19fVJkh599FHNzs7qrW99qyTp9a9/vb7whS808vIAAAAAWtj4eF6W5SqbrWrLlk6/ywGWLRBp14ZL/njB+yd/9lmp1rjuqd7emCYnj4wdFnTqqYwdYu1paIdWIpHQyMiIJOmee+7R4OCgXvCCF0iSarWaPM9r5OUBAAAAtLCxsZxmZ8uSGDcEjseRscNslrFDrF0N7dC66KKLdNNNNymZTOqv//qv9Vu/9Vtz9z3zzDPasmVLIy8PAAAAoEXNzpZVKllKpcrq6IgoFDL9LgloGbFY/UTQdLqsnp6oymVLsRgnhGJtaWiH1s033yzDMPT//X//nyKRiD7xiU/M3ff9739fr3zlKxt5eQAAAAAtamwsr1rNUT5fpTsLOAG9vTHNzpblOB5dWliTGtqhdcopp2jPnj1Kp9Pq7e2dd98Xv/hFDQ0NNfLyAAAAAFqQ59VfgKdSZRmGod5eAi3gePX2xjQ6mlM2W9H4eF6nnda79AcBLaShHVqf/OQnNT4+flSYJUl9fX269dZbG3l5AAAAAC0omSypWrWVSpXV3R2VaTb0ZQuwJkWjwbmxw0ymolKJ0w6xtjT0O8OuXbs0Ojp6zPvGx8e1a9euRl4eAAAAQAsaG8urXLZVKtUYNwROQm9vTJlMhbFDrEkNDbQWO8WwUCgoFGJTOgAAAADPcl1PExN5pVIlmaahrq6I3yUBLau3NybX9ZTJVAi0sOas+B5ajz32mB555JG59++8807t2bNn3ppyuaxvfetbOu2001b68gAAAABa2NRUQbbtKpUqq6cnxrghcBKeO3aYSMRULNbU1hb2uyxgRax4oPWjH/1obpTQMAx98pOfPOa6WCymb3zjGyt9eQAAAAAtbGwsr2LRUrVqa/v2Lr/LAVpeb29M4+P5ubHD009P+F0SsCJWPND6oz/6I73pTW+S53m64IIL9I1vfEMvetGL5q2JRCI67bTTFIsxDw8AAACgzrZdTU0VlEqVFAoF1NnJuCFwshKJ+mmHmUyZQAtryooHWkNDQxoaGpIk3XPPPTrvvPPU3t6+0pcBAAAAsMZMThbkOPVxw97emAzD8LskoOVFIkG1tR0ZO4wzdog1Y8UDree6+OKLG/nwAAAAANaQsbGc8vmaLMtRb29zTHN85ctfVaGw9GbaU9PTcmQqEFz4YCzAL729MY2OMnaItaWhgZYk3XHHHfr2t7+tQ4cOqVwuz7vPMAzt27ev0SUAAAAAaHK1mqOZmZLS6bLCYVPt7c3RQVIo5DWby8t1Fl9nO45ERxmaVG9vTCMjjB1ibWlooPVXf/VXuuGGG3T22Wfr3HPPVSTCDDwAAACAo01M5OW6rtLpsvr64k01bug6Us0zFIgsspVKpbh6BQHHKRIJqr09PDd2WCjUmiY0Bk5UQwOtr371q3rve9+rL3zhC428DAAAAIAWNz6eVy5Xk227SiSaY9zwuQKRdm245I8XvH/0Hz6yitUAx+9Il5Ztuxofz+uMM+jSQmsLNPLBJycn9Za3vKWRlwAAAADQ4ioVW8lkSalU6fAG1nSOACuttzcmz/OUyVQ0Pr70vnBAs2tooHXeeeexRxYAAACARdXHDT3NzlaasjsLWAuO7E2XTpeVz1eVz1f9Lgk4KQ0NtD73uc/ps5/9rB588MFGXgYAAABACxsbyyubrcpx3KY53RBYi3p7Y8pmq3Njh0Ara+geWu9617uUSqV0wQUXaMOGDUok5s/oGoahRx99tJElAAAAAGhipZKl2dmy0umy4vGQ4vGQ3yUBa1Zvb0zDw1nNztbHDs88s8/vkoAT1tBAK5FIqK+PJwgAAACAYxsfz8txPM3OlrVxY4ff5QBrWjhsqqMjonS6rP7+uHK5qjo7I36XBZyQhgZa9957byMfHgAAAECLGx/PK5OpyHU9xg2BVdDbG9Xw8LOnHRJooVU1dA8tAAAAAFhIoVBTNltROl1SW1tI0WhDf98OQM+ednhk7BBoVQ39jvHLX/5yyTWvec1rGlkCAAAAgCY1Pp6XbbvKZKrasqXT73KAdSEUqo8dplKMHaK1NTTQeu1rXyvDMBZd4zhOI0sAAAAA0KTGxnLKZCryPMYNgdV0ZOzQshg7ROtqaKB1zz33HHVbMpnUP/7jP+rXv/61vvSlLzXy8gAAAACaVC5XVaFQUypVVnt7WOGw6XdJwLpx5LTDTKaisbGcXvhCDnND62looHXxxRcf8/Yrr7xS1157re666y698Y1vbGQJAAAAAJrQ2Fi9OySXq2rrVsYNgdX0/LHDbLairq6o32UBx8W3TeHf8pa36Lvf/a5flwcAAADgo/HxvGZny5IYNwT80NsbUz5flWU5bA6PluRboDU7O6tqterX5QEAAAD4ZHa2rFLJUjpdVkdHRKEQ44bAauvpiUritEO0roaOHA4PDx91W7Va1WOPPaYbbrhBr3zlKxt5eQAAAABNaHw8r1rNUS5X1SmndPtdDrAuHRk7TKfLGhhoUyZTUXc3Y4doHQ0NtLZv337MUw49z9OZZ56pL37xi428PAAAAIAm43mexsfzSqfLMgxDPT2MGwJ+SSRiOngwOzd2SKCFVtLQQOvrX//6UYFWNBrV9u3b9fKXv1yBgG8TjwAAAAB8kE6XVanYSqfL6u6OKBjkNQHWH7uQlO1ampou67Of+eyS69vbO3T5pZeseB31ACujdLo+dnj22f0rfg2gURoaaL3zne9s5MMDAAAAaDFjY3lVq44KhZpOO63H73IAf7iupIAcmUrNLr5/VaCBW8yFQqY6O6NKp8saHGzT7GyZrkm0jIYGWkfk83ndd999SqVS6uvr0ytf+Up1dHSsxqUBAAAANAnX9TQxkVcqVVYgYDDehPXNCEiBsOzwwq+N3WpBYcdraBm9vVEdOJBRrVYfOyTQQqtoeKD1mc98Rrt27VKpVJLn1Z+IbW1t2rVrl66//vpGXx4AAABAk0ilSqrVHKXTJXV3R2WajBtifQtE2rXhkj9e8P7Jn31WqjX2BMKenvo+WrOz5bmxw2PthQ00m4YGWt/85jf14Q9/WJdeeqne+c53auPGjRofH9ff/d3f6U/+5E/U39+v3//9329kCQAAAACaxNhYXuWyrVLJ0qZN/k5s3HHHt5R3ZhWKty26bmp6Wo5MBYKN7ZIB/BIMBtTVFVEqVdbgYLtmZyvq7aVLC82voYHWX//1X+ttb3ub7rjjjnm3/87v/I5+7/d+T3/9139NoAUAAACsA0fGDdPpskzTUFeXv+OGxWJBOackVd1F19mOI9GtgjWutzem/ftn58YOCbTQChra47tnzx793u/93jHv+73f+z09+eSTjbw8AAAAgCYxPV2UbbtKpUrq7o4pEPA/JHIdqeYZssMdC75J/tcJNFp3d1SGYSidLmtiIj+3XRDQzBraoRWLxZROp495XzqdVixG6gsAAACsB+PjeZVKlioVW1u3dvldzpyl9jAa/YePrGI1gD+OjB2m02Vt2NCudLqsRCLud1nAohraoXXRRRfppptu0vj4+LzbJycn9clPflKvec1rGnl5AAAAAE3AcVxNThaUSpVlmgF1dkb8LgnA8yQSMRUKNVWr9bFDoNk1tEPrL/7iL3ThhRfqBS94gV7/+tdraGhIExMT+pd/+ReFQiH98Ic/bOTlAQAAADSBycmCHMdVOl1Sb29zjBsCmG/+2GFBL3rRAKcdoqk1tEPrnHPO0f3336/f/u3f1v33369vfOMbuv/++3XFFVfoP/7jP3T22Wef1OPffPPNevnLX66Ojg4NDAzoiiuu0FNPPbXkx/3iF7/Qeeedp2g0qlNPPVVf/vKXT6oOAAAAAAsbH8/PdX4kEmw7AjQj0wyouzuqdLqsatVWKlX2uyRgUQ3t0LIsS5s3b9Z3vvOdo+4rFouyLEuhUOiEH/8Xv/iF3vve9+rlL3+5bNvWn/3Zn+mSSy7R7t271dZ27ON3Dxw4oMsuu0zvec97dMcdd+jXv/61rrvuOvX39+vKK69c9rVHR0cXvX9iYuK4PhcAAABgLbIsR9PTRaXTZYVCpjo6wn6XBGABvb0x7duXVqVia2wsp74+9tFC82pooPWe97xH1Wr1mIHWH/3RHykWi+lv//ZvT/jx77rrrnnvf+Mb39DAwIAefPDBBffn+vKXv6ytW7fqlltukSSdddZZeuCBB/SZz3zmuAKtLVu2nHDdAAAAwHpxZNwwlSorkYgxwgQ0se7uiAKBZ8cOX/xijxFhNK2Gjhzec889evOb33zM+y6//HL9/Oc/X9HrZbNZSVJvb++Ca+677z5dcskl8257wxveoAceeECWZa1oPQAAAMB6NzaWVz5fk2U56u1l3BBoZs8dO7QsR8lkye+SgAU1tENrampKQ0NDx7xvw4YNmpycXLFreZ6n66+/Xv/lv/wXvehFL1pw3eTkpAYHB+fdNjg4KNu2lUwmF6z3+UZGRha9f2JiQhdccMGyHgsAAABYi2q1+gviVKqscNhUezvjhkCzSyRieuaZtMplW+PjeQ0MHHs7H8BvDQ20uru7tXfvXr32ta896r69e/eqo6Njxa71vve9T4899pj+9V//dcm1z29z9jzvmLcvZvPmzcdXIAAAALDOTEzk5TiuZmfL6u9nLx6gFXR1RWWa9bHDycmCXJexQzSnhgZar3vd63TzzTfrv/23/zZvDDCdTusv//Iv9Ru/8Rsrcp33v//9+slPfqJf/vKXSwZNx+oMm56eVjAYVCKRWJF6AAAAANTHDXO5mmzbVSKxOoHWjTfepGw2s+iaajWvZD4pOy6ZrrcqdQGtIhAw1N0dUypV0qZNHZqeLmrDhna/ywKO0tBA66abbtLLX/5ynX766br66qu1adMmjY6O6vvf/74sy9KuXbtO6vE9z9P73/9+/ehHP9K9996rU045ZcmPufDCC/VP//RP82772c9+pvPPP/+kTlwEAAAA8KxKxVYqVVI6XVI0GlQ8vjo/a2ezGc2kM3Kchde4TlG24UguXSfAsfT21gOtUsnS+HieQAtNqaGB1plnnqlf/epXuv766/W//tf/kuM4Mk1TF198sT73uc/pzDPPPKnHf+9736tvf/vb+sd//Ed1dHTMdV51dXUpFqtvOHnDDTdobGxM3/zmNyVJ1157rb74xS/q+uuv13ve8x7dd999+trXvnbMkxgBAAAAnJjx8bxc19PsbFmDg6v7YthxpKpryIx1HfN+1zYlK7OqNQGtpKsrItMMKJ0ua2qqflKpaTb0TDnguDU00JKkc889Vz//+c9VLpc1Ozur3t5eRaPRFXns2267TZKO2qPrG9/4ht75zndKqm/OPjw8PHffKaecojvvvFMf/OAH9aUvfUkbN27U5z//eV155ZUrUhMAAACAeqCVzVblOJ4SidU/3dCMdWnrNbcc875q8imN/O8PSHJXtSagVQQChnp7o0qlytq8uVPT00UNDa3cHtjASmh4oHVELBab65paKUc2c1/M7bffftRtF198sR566KEVrQUAAABAXalkaXa2rFSqpHg8pFiMrT2AVtPbG9PMTEnFYn3skEALzYaeQQAAAAAranw8L8fxlMlU1Nu7+t1ZAE5eZ2dEwWBAqVRZU1NF2TYdjWguBFoAAAAAVtTYWE6ZTFmu68+4IYCTZxiGenpiSqdLchxXU1MFv0sC5iHQAgAAALBiCoWacrmq0umy2tvDikRWbZcTACsskYipVnNUKNQ0Pp73uxxgHgItAAAAACtmbCwn23aVyVQZNwRaXEdHWKFQ/bTD6emiLMvxuyRgDoEWAAAAgBUzNpbX7GxFnucRaAEtzjAM9fbGlEqVD48dFv0uCZhDoAUAAABgRWSzFRWLNaVSZXV0RBQOm36XBOAk9fbGZFmOCgVLY2M5v8sB5hBoAQAAAFgR4+N5WZarfL7KZvDAGtHeHlYoZCqVKmlmpsTYIZoGgRYAAACAFVEfNyxL8tTTE/W7HAArwDAMJRIxzc5W5LquJiY47RDNgUALAAAAwEmbnS2rXLaUSpXV2RlVKMS4IbBWHBk7zOc57RDNg0ALAAAAwEkbG8urVnOUz1fV20t3FrCWtLeHFYnUxw6TyZKqVdvvkgACLQAAAAAnx/M8jY/nlU6XZRiGenrYPwtYa3p7Y0qnK3Icxg7RHAi0AAAAAJyUVKqsatVWOl1Wd3dEwSAvM4C1prc3JsdxlcsxdojmwHcaAAAAACdlfDyvatVRoVBTb2/c73IANEBbW1iRSFDpdEmpVEmVCmOH8BeBFgAAAIAT5rr1ccNUqqRAwFB3d8TvkgA0yLOnHXqamKBLC/4i0AIAAABwwpLJkizLUTpdVk9PVKbJSwxgrToydpjNVhk7hO/4bgMAAADghI2N5VQuWyqVLPX2shk8sJbF4yHFYkGl02Wl02WVy5bfJWEdI9ACAAAAcEJc19PkZEGpVFmmGVBXV9TvkgA0WG9vTJlMWY7j0aUFXxFoAQAAADghU1MF2barVKo+bhgIGH6XBKDBEom4HMdTNlsh0IKvCLQAAAAAnJCxsbyKRUvVqs24IbBORKNBxeMhpdNlZTIVFYs1v0vCOkWgBQAAAOC4WZajqamCUqmSQqGAuro43RBYL+pjhxXGDuErAi0AAAAAx21ioiDHqY8bJhJxGQbjhsB6kUjE5LqeMpkygRZ8Q6AFAAAA4LiNjuaUy9VkWQ7jhsA6E4kE1dZWHzvM5aoqFBg7xOoj0AIAAABwXMplS6lUSclkSdFoUO3tYb9LArDKEom4MpmqbNulSwu+INACAAAAcFxGR3NyHE+zs2X19cX9LgeAD3p6ovI8T5lMRWNjOb/LwTpEoAUAAADguIyO5pTJlOW6nhIJxg2B9SgSqXdnplJlFQo15XJVv0vCOkOgBQAAAGDZstmKCoWaksmy2tvDikSCfpcEwCe9vTHlcowdwh8EWgAAAACWbXQ0J8tylMtVGTcE1rne3pg8z9PsbIVAC6uOQAsAAADAsniep7GxvNLpsiRxuiGwzoXDpjo7I0qlyioWa8pmK36XhHWEQAsAAADAsiSTJVWrtpLJsrq7IwoGeTkBrHe9vTHl81VZlkOXFlYV34EAAAAALMvoaE7lsq1isaZEgnFDAPXTDiVP6TRjh1hdBFoAAAAAluQ4riYnC0qlSjLNgLq7o36XBKAJhEKmOjoiSqfLKpUszc6W/S4J6wRHkgAAAABY0uRkQbbtKpUqqbc3qkDAWNXr33jjTcpmM0uuGx0dla2gAiG38UUBkCQlEjEdOJBRrVYfO+zpYX89NB6BFgAAAIAljY7mlM/XVK06vowbZrMZzaQzcpzF11m2IwUYRAFWU09PTAcPZjU7W9b4eF5nn90vw1jd0BvrD4EWAAAAgEVVq7ZmZkpKJksKh011dIR9qcNxpKpryIx1LbjGK+bEy2hgdQWDAXV11U87HBxs1+xshVNQ0XAEWgAAAAAWNT6el+O4SqfLGhxs87Xzwox1aes1tyx4/97brlq9YgDM6e2Naf/+WVWrjsbGcgRaaDh6cQEAAAAsanQ0p2y2KsdxeZEK4Jh6eqIyDEPpdFkTEwV5nud3SVjjCLQAAAAALKhQqCmTqSiZLCkeDykeD/ldEoAmVD/9tH7aYbVqK5XitEM0FoEWAAAAgAWNjeVk264ymYr6+lZ/M3gAraO3N65isaZKxdb4eN7vcrDGEWgBAAAAWNDoaE6zsxVJHuOGABbV3R1RIHBk7DAv12XsEI1DoAUAAADgmNLpskolS8lkSR0dEYXDpt8lAWhi9bHDqNLpsmo1R8lkye+SsIYRaAEAAAA4prGxnKpVR/l8lXFDAMvS2xtTqWSpXGbsEI1FoAUAAADgKK7raWwsr1SqrEDAUE9P1O+SALSArq6ITLM+djg5WWDsEA1DoAUAAADgKNPTRVmWo1SqpJ6eqEyTlw4AlnZk7DCVKsmyHM3MFP0uCWsU35UAAAAAHGVsLHd4bMhSIsG4IYDl6+2Nq1KxVSpZGhtj7BCNQaAFAAAAYB7LcjQ5WVAyWVYwGFBnZ8TvkgC0kPrYYUDpdFlTUwU5jut3SViDgn4XAAAAAKC5TEzUX4CmUiUlEjEFAobfJQHrkl1IynYtTU2X9c2/+6YClZDMalSRSMcx13d1dWvXrptWt8hjOLLvXipV1ubNnZqeLmpo6Ng1AyeKQAsAAADAPGNjOeVyNVmWw7gh4CfXlRSQI1OZXEkqBxUo1xQwnaOWmubql7eYRCKmZLKkYrE+dkighZVGoAUAAABgTrlsKZksKZUqKRIJqr093NDr3XjjTcpmM0uuGx0dla2gAiFGl7DOGAEpEJZjBmTYIblOVIHg/HDIKWcVUXOdJtjREVEwGFAqVVJHR1iW5SgUarLUDS2NQAsAAADAnLGxvBzH0+xsWRs2tDf8etlsRjPpjJyjG07msWxHCrAFMNanQKRdifOukul2KqhBRfrOnHf/8Hd3StWML7UtJBAwlEjElEqVtWVLpyYmCtq6tcvvsrCGEGgBAAAAmDM6mlMmU5bjeOrrW51xQ8eRqq4hM7bwi12vmBM7eQGtpa8vrqmporLZmkZGsgRaWFEEWgAAAAAkSblcVfl8ValUWe3tYUUiq/dywYx1aes1tyx4/97brlq1WgCsjLa2sKLRoFKpkrq7IyqVLMXjIb/LwhpBzy4AAAAASfXuLMtylc1WlUjE/C4HwBrQ1xdXOl3v+hwdzfldDtYQAi0AAAAA8jxPY2M5pdMlSZ56ewm0AJy8RCImz/OUTpcJtLCiGDnEkt74xjdqenp6WWsHBgZ01113NbgiAAAArLRUqqxKxVYqVVZ3d5TTyACsiEgkqM7OiJLJkvr745qdLaunh8AcJ49AC0uanp7WyPikrCVOnuFnHgAAgNY1OppTpWKrUKjptNN6/S4HwBqSSMR04EBG1aqjkZEcgRZWBCOHWBbLkUp2QFZ8wzHfSnZgycALAAAAzclxXE1M5JVMlmSahrq7I36XBGAN6e2NKRAwlEqVND6el+t6fpeENYAOLSxbqHNAZ3/8oWPet/tTO6TS5CpXBAAAgJUwNVWUbbtKpUrq7Y3JNPm9N4CVY5oB9fRElUyWtHFjh6amChoa6vC7LLQ4vlMBAAAA69zoaE6FQk3VqqNEIu53OQDWoL6++OGxZovN4bEi6NACAAAA1rFazdH0dFHJZEmhkKmOjrDfJQFYgzo7IwqFTKVSJXV2hlWrOQqH2YgZJ44OLQAAAGAdGx/Py3FcpdNl9fXFZBiG3yUBWIMMw1AiEVMqVZJtuxofz/tdElocgRYAAACwjo2O5pTLVWXbLuOGABqqry8u23aVzVYZO8RJI9ACAAAA1qlisabZ2bKSyZLi8ZDi8ZDfJQFYw458nUkmS5qdLatQqPldEloYgRYAAACwTo2N5WXbrmZnK0okYn6XA2Ad6OuLK5OpyLZdurRwUgi0AAAAgHVqdDSn2dmKPM9j3BDAqujtjUnylE6XNTqak+d5fpeEFkWgBQAAAKxDs7NlFYu1wyeORThtDMCqCIdNdXZGlUyWVC5bSqfLfpeEFkWgBQAAAKxDo6M51WqOcrkq44YAVlVfX0yFQk2Vis3YIU5Yywdav/zlL3X55Zdr48aNMgxDP/7xjxddf++998owjKPe9uzZszoFAwAAAD5zXU/j43mlUmUZhnF4BAgAVkd3d1SmaSiZLGl8PC/Hcf0uCS2o5QOtYrGoc889V1/84heP6+OeeuopTUxMzL2dfvrpDaoQAAAAaC4zM0XVao5SqZJ6eqIyzZZ/WQCghZhmQD09MaVSJdm2q8nJgt8loQUF/S7gZF166aW69NJLj/vjBgYG1N3dfcLXHR0dXfT+iYmJE35sAAAAoJFGR3MqlSyVSpY2ber0uxwA61BfX1zJZEn5fE2jozm+FuG4tXygdaJe9rKXqVKp6Oyzz9bHPvYxve51rzuuj9+yZUuDKgMAAAAa50g3RDJZVjAYUFdXxO+SAKxDHR1hhcOmksn6wRTVqq1IZN1GFDgB6+5fy9DQkL761a/qvPPOU7Va1d///d/r9a9/ve6991695jWv8bu8llWZ3quKVdaeYkY7duxYcv3AwIDuuuuuVagMAAAAzzUxUd+vJpUqKZGIKRAw/C4JwDpkGIb6+uKamipq27YujY3ldeqpPX6XhRay7gKtM888U2eeeebc+xdeeKFGRkb0mc985rgCrZGRkUXvn5iY0AUXXHDCdbYaz7Elw5SlkPaPTC66NsSJ0AAAAL4ZHc0pn6/JshwlEnG/ywGwjiUSMY2P55XJVDQ6miPQwnFZd4HWsbzyla/UHXfccVwfs3nz5gZV07oMMyQv1CYrvmHBNVZuWnFxggUAAIAfKhVbyWRJyWRJkUhQ7e1hv0sCsI7FYiG1tYWUSpXU2xtTPl9VRwdj0FgeAi1JDz/8sIaGhvwuY00w2/t09scfWvD+3Z/aIZUW7+ACAABAY4yN5eQ4nmZny9qwod3vcgBAiURcIyM5WZar0dGczjqr3++S0CJaPtAqFArau3fv3PsHDhzQI488ot7eXm3dulU33HCDxsbG9M1vflOSdMstt2j79u0655xzVKvVdMcdd+gHP/iBfvCDH/j1KQAAAACrYmQkp0ymIsfxGDcE0BQSiZhGRrJKp0saHc3phS/sk2Gwtx+W1vKB1gMPPDDvhMLrr79ekvSOd7xDt99+uyYmJjQ8PDx3f61W04c+9CGNjY0pFovpnHPO0T//8z/rsssuW/XaAQAAgNUyO1tWPl/VzExJ7e1hRaONfSlw4403KZvNLLludHRUtoIKhNiWAliPQiFT3d1RJZNlDQ62K5ksqb+/ze+y0AJaPtB67WtfK8/zFrz/9ttvn/f+hz/8YX34wx9ucFUAAABAcxkezqpadZTLVXTKKd0Nv142m9FMOiPHWXydZTtSINDwegA0r0Qirr170yqXbY2O5gi0sCwtH2gBAAAAWJxlORoby2tmpijTDKi3N7Yq13UcqeoaMmNdC67xijkxXASsb93dUZlmQKlUvYP0xS92FQwSdGNxBFoAAADAGjc2lpdtO5qZKSmRiMk0V++Fohnr0tZrblnw/r23XbVqtQBoToGAod7emJLJkjZt6tDkZEGbN3f6XRaaHJEnAAAAsMYdOpRRJlOVZTkaGGCUB0Dz6euLqVZzlM/XNDqa87sctAACLQAAAGANy2QqyuWqmp4uqq0tpHg85HdJAHCUjo6IIhFTyWRJMzNFVSq23yWhyRFoAQAAAGvYs5vBV+nOAtDUEom4ZmfLchyPLi0siUALAAAAWKNs29XYWE4zM0UFAlq1zeAB4ET09cXlOJ4ymTKBFpZEoAUAAACsUePjeVlWfTP43t74qm4GDwDHKxoNqr09rGSyrHy+qmy24ndJaGJ8RwMAAADWqEOHMspmj2wGH/e7HABYUl9fXLlcVbWaQ5cWFkWgBQAAAKxBuVxVmUxFMzNFxeMhtbWF/S4JAJZ0ZDQ6nS5rbCwvz/N8rgjNKuh3AQAAAABW3qFDGdVqjjKZqrZt6/K7HAANZGUnZDk1jVYL2rlz55Lru7q6tWvXTQ2v60QEgwF1d0eVTJa0YUO7ZmZKHGiBYyLQAgAAANYYx3E1OppTMlmSYUiJBJvBA2uZ5zqSArIV1ORMZtG1prkqJZ2Uvr6YnnkmrVLJ0shIlkALx0SgBQAAAKwxRzaDn54uKpGIsRk8sA4YAVMyo7Ij3QuuccpZRdT8I3xdXVEFgwElk2W1txdkWY5CoRZI4rCqCLQAAACANebQoaxyuZpqNUf9/XQ2AOtFINaprdfcsuD9w9/dKVUzq1XOCQsEDCUSMaVSJW3Z0qGJiYK2bmV0GvPxqxoAAABgDcnnq5qdLWt6ur4ZfHs7m8EDaD2JRFyW5SiXq3HaIY6JQAsAAABYQw4dysqyHGUyFfX1xf0uBwBOSHt7WNFoUMlkSalUSaWS5XdJaDIEWgAAAMAacWQz+JmZsiQRaAFoaX19cc3OluU4nsbG6NLCfARaAAAAwBoxMVFQrWZrZqag3t6YgkF+3AfQuhKJmFzXUzpd1sgIgRbm4zscAAAAsEYcOpRRPl9TtepoYIDuLACtLRIJqqMjolSqpGKxptnZst8loYkQaAEAAABrQKFQUzpd3ww+Fqu/CASAVtfXF1MuV1W16rA5POYh0AIAAADWgEOHMrIsV7OzFfX3t/ldDgCsiN7emAzDUCpV1thYXq7r+V0SmgSBFgAAANDiXNfT6GhOyWRJUn3fGQBYC0wzoN7eqFKpkizL0fR00e+S0CQItAAAAIAWNzGRV61Wf6HX2xtVKGT6XRIArJhEIq5y2VKxaDF2iDkEWgAAAECLGx7OHt5jxmbcEMCa09UVUSgUUDJZ0tRUQZbl+F0SmgCBFgAAANDCisWaksmSZmZKikSC6uxkM3gAa4thGEok4kqlSrJtV+Pjeb9LQhMg0AIAAABa2KFDWVmWq3S6rIGBuN/lAEBD9PXFZduucrmqRkYYOwSBFgAAANCyXNfTyEhWqVR9M/i+PgItAGtTPB5SPB7SzExJs7Nl5fNVv0uCzwi0AAAAgBY1OVmY2wy+p4fN4AGsbX19cWUyFdVqjg4ezPhdDnxGoAUAAAC0qOHhrPL5mioVWwMDbAYPYG3r64vLMKSZmZJGR3OybdfvkuAjAi0AAACgBZVKlmZmipqeLioSCaqjI+x3SQDQUMFgQIlEXNPTRdVqjkZH2UtrPSPQAgAAAFrQ8HBWtl3fDL6/Py7DMPwuCQAabnCwTZblKJOpMHa4zgX9LgDrS2V6rypWWXuKGe3YsWPJ9QMDA7rrrrtWoTIAAIDW4bqehoePbAbvqb+fzeABrA/xeEjt7WFNTxfV2xtTOl1Wb2/M77LgAwItrCrPsSXDlKWQ9o9MLrqWPU0BAACObXq6qGrV1sxMSd3dMTaDB7CuDA62ad++WZXLtg4ezBBorVMEWlh1hhmSF2qTFd+w4BorN6242OAPAADgWA4dyqhQqKlUsrRlS6ff5QDAqurpiSkYzGp6uqi2tpCq1X5FIsQb6w3/x+ELs71PZ3/8oQXv3/2pHVJp8Q4uAACA9ahctjQ9XdTMTFHhsKnOzojfJQHAqgoEDA0MtGlqqqDNmzs1PJzV6acn/C4Lq4xACwAAAGghRzaDT6XK2rixY9U3g7/xxpuUzWaWXDc6OipbQQVCdN0DWHn9/XGNj+eVTpd18GBGL3hBL4djrDMEWgAAAECL8Lwjm8GX5Xme+vpWfzP4bDajmXRGjrP4Ost2pACHqgPNxMpOyHJqGq0WtHPnziXXd3V1a9eumxpe14mIRILq7o5qaqqg/v64pqaK2rCh3e+ysIoItAAAAIAWMT1dVKVia2amqO7uqMJhfzaDdxyp6hoyY10LrvGKOdErATQXz3UkBWQrqMmZzKJrzRY4a2JgoE1PP51SPl/TwYMZAq11hkALAAAAaBGHDmVVKFgqlSxt2uTvZvBmrEtbr7llwfv33nbV6hUDYNmMgCmZUdmR7gXXOOWsIvJWr6gT1NUVUSQS1PR0UR0dYRWLNbW1hf0uC6uEQAsAAABoAZWKPbcZfChkqrubzeABnJhArHPRQHr4uzulama1yjlhhmFoYCCu0dG8tm7t1MGDGZ1zzoDfZWGVMNQOAAAAtIAjm8Gn0yX198fZ/BgApLm9BGdmyhoZyclxOIhivSDQAgAAAJrckc3g0+myXNdTf//qbwYPAM0oFDKVSMQ0PV1QrWZrbCzvd0lYJQRaAAAAQJObmSmpXLY0PV1UZ2dUkQg7hwDAEQMDbarVHGWzVR08mPG7HKwSAi0AAACgyR06lFGpZKlYrGlggO4sAHiu9vaw2tpCmpoqKputaHa27HdJWAUEWgAAAEATq1RsTU0VNT19ZDP4qN8lAUDTGRhoUzZbUaVi06W1ThBoAQAAAE1sZKS+GXwqxWbwALCQ3t6YTDOg6emSxsfzqtUcv0tCgxFoAQAAAE3quZvBOw6bwQPAQkwzoP7+uGZmirIsV8PDWb9LQoMRaAEAAABNKpksqVSyNDNTVGdnhM3gAWARAwNtchxX6XRZhw5l5Hme3yWhgQi0AAAAgCZ16FBWpZKlQqGmgYE2v8sBgKYWjQbV2RnR9HRRpVL9ZFisXQRaAAAAQBOqVm1NTRU0M1NSKBRgM3gAWIbBwTYVizUVChabw69xBFoAAABAEzpwICPLcpVMFtXXF1cgwGbwALCU7u6owmFT09OFuU4trE0EWgAAAECTsW1XBw9mND1dlOtKg4PtfpcEAC3BMAwNDLQplSrLtl0dOpTxuyQ0CIEWAAAA0GSGh7OqVm1NThaUSMQUDpt+lwQALePIibAzMyUND2flumwOvxYRaAEAAABNxHU97d8/q1SqLMtytGED3VkAcDxCIVO9vVFNTxdVrdoaH8/7XRIagHN/0ZQq03tVscraU8xox44dS64fGBjQXXfdtQqVAQAANNb4eF6lUk2TkwV1d0cVj4f8LgkAWk597DCpXK6mgwcz2ry50++SsMIItNCUPMeWDFOWQto/Mrno2hAd+AAAYA3Zty+tbLaqctnS9u1dfpcDAC2poyOieDyk6emCuroiymYr6uritNi1hEALTcswQ/JCbbLiGxZcY+WmFZe7ilUBAAA0zvR0UblcVRMTBbW3h9XREfG7JABoWQMDbTp0KKtq1dHBgxmde+7Cry3Regi00NTM9j6d/fGHFrx/96d2SKXFO7gAAABaxb59aRUKNeXzVZ1+eq/f5QBAS0skYhoZyWpmpqh4PKSzz+5XiBGfNYNN4QEAAIAmkMlUlEyWNDFRUCQSVHc3ozEAcDJMM6C+vrimp4uyLEcjIzm/S8IKItACAAAAmsC+fWlVKrZmZ8saGmqXYRh+lwQALW9goE227Wp2tqyDBzPyPM/vkrBCCLQAAAAAnxWLNU1MFDQxUVAoVO8oAACcvFgspM7OiKamiioWa0omS36XhBXCHloAAACAz/bvn1WtZiuZLGnTpg4FAqvfnXXjjTcpm80suW50dFS2ggqEOJgHQGsYGGjT3r1plUqWDh7MqL+/ze+SsAIItAAAAAAf1Wr1fV2mpooyjPoLLz9ksxnNpDNynMXXWbYjBRj0ANA6urujCoVMTU0V1dYWVrlsKRYL+V0WThLfiQAAAAAfHTgwq1rN0dRUUQMDbQoG/fsR3XGkqmvIjnQv+OaJvb0AtJZAwNDAQFypVEmW5ejQoazfJWEF0KEFAAAA+MRxXB08mFEyWZTruhoc9H8Mxox1aes1tyx4/97brlq9YgBghfT3t2l8PK9UqqTh4azOOCPhy3g3Vg4dWgAAAIBPhoezqlRsTUwU1NsbUyTC75sBoBHCYVM9PTFNTRVVrdqamMj7XRJOEoEWAAAA4APP87R//6xmZ8uq1RwNDXX4XRIArGkDA22qVGzlclUdPJjxuxycJH4FBAAAAPhgYqKgUsnSxERBnZ0RxeNsUAygOVjZCVlOTaPVgnbu3Lno2q6ubu3addOq1HWyOjsjikaDmpoqqrMzolyuqs7OiN9l4QS1fIfWL3/5S11++eXauHGjDMPQj3/84yU/5he/+IXOO+88RaNRnXrqqfryl7/c+EIBAACA59i7N61stqpSydLGjXRnAWgenuvIU0C2gpqcySz4NpPOKJvN+F3ucRkYaFMmU1Gt5tCl1eJavkOrWCzq3HPP1bve9S5deeWVS64/cOCALrvsMr3nPe/RHXfcoV//+te67rrr1N/fv6yPP2J0dHTR+ycmJpb9WAAAAFhfksmSstmKJiYKisdDdAgAaDpGwJTMqOxI9zHvd8pZReStblEroK8vrtHRnKani4rFQjr77H5fT5fFiWv5QOvSSy/VpZdeuuz1X/7yl7V161bdcsstkqSzzjpLDzzwgD7zmc8cV6C1ZcuW4y0VAAAAkFTvzioWLeVyFZ12Wq/f5QDAMQVinQueejr83Z1SNbOa5ayIYDCgRCKumZmSNm7s0OhoTtu3d/tdFk5Aywdax+u+++7TJZdcMu+2N7zhDfra174my7IUCrF3QSupTO9VxSprTzGjHTt2LLl+YGBAd9111ypUBgAAcGy5XFUzM0VNThYUiZjq7Y36XRIArCuDg22amSkqk6no4MEMgVaLWneB1uTkpAYHB+fdNjg4KNu2lUwmNTQ0tKzHGRkZWfT+iYkJXXDBBSdcJ5bHc2zJMGUppP0jk4uuDZmrVBQAAMAi9u5Nq1p1lE6XtXVrpwzD8LskAFhX4vGQ2tvDmp4uqrc3plSqpEQi7ndZOE7rLtCSdNQPDZ7nHfP2xWzevHlFa8KJM8yQvFCbrPiGBddYuWnF5a5iVQAAAEcrly2Nj+c1OVmQaRrq6+MFFAD4YXCwTfv2zapctnTwYIZAqwWtu0Brw4YNmpyc38kzPT2tYDCoRCLhU1U4WWZ7n87++EML3r/7Uzuk0uIdXAAAAI22f/+sajVHMzNFbdjQLtNkI2IA8ENPT0yhUFbT0yXF42FVKrai0XUXkbS0dfcd9MILL9Tdd98977af/exnOv/889k/CwAAAA1jWY4OHcpqerooqd4dAADwRyBgqL+/TclkUZblaP/+Wb9LwnFq+UCrUCjokUce0SOPPCJJOnDggB555BENDw9Lkm644Qa9/e1vn1t/7bXX6tChQ7r++uv15JNP6utf/7q+9rWv6UMf+pAf5QMAAGCdOHgwo1rN0dRUQX19cYXY4BMAfDUw0CbXlaani3Nfo9E6Wj7QeuCBB/Syl71ML3vZyyRJ119/vV72spfpE5/4hKT65uxHwi1JOuWUU3TnnXfq3nvv1Utf+lJ96lOf0uc//3ldeeWVvtQPAACAtc91PR04kFEyWZLjuBoaave7JABY98JhUwMDcU1MFFSrOdq3L+13STgOLT8g+trXvnZuU/djuf3224+67eKLL9ZDDy283xIAAACwkkZGsqpULE1OFtTTE1Mk0vI/hgPAmjA01KHp6ZKmpgoKh02ddlqvwmE6aFsB30mxLlSm96pilbWnmNGOHTuWXD8wMKC77rprFSoDAABrned52rdvVrOzFVWrtk47rcfvkgAAh4XDpvr745qcLGhwsF3798/qhS/s87ssLAOBFtYFz7Elw5SlkPaPLH7aIdtZAACAlTQ5WVCxWNPEREGdnRG1t4f9LgkA8BxDQ+2amSlpaqqoSMTUaaf1sM9hCyDQwrphmCF5oTZZ8Q0LrimP75bhOSrm6OQCAAArY9++WeVyVRWLNZ1xRsLvcgAAzxOJBNXXF9fkZF6Dg23av39WZ55Jl1azI9DCumK29+nsjy+8f9qD18XlSXRyAQCAFZFOlzU7W9bEREHxeEjd3dFVr+HGG29SNptZct3o6KhsBRUIuY0vCgCazMaN7Uomi5qerndpnXoqXVrNjkALeJ7ldHJZuWnFxQ97AABgcXv3plUqWcpmKzr1VH/2zspmM5pJZ+QscRq9ZTtSoOUPQQeAE/Jsl1ZBAwN0abUCAi3gGJbq5Nr9qR1SafEOLgAAsL7l81VNTRU0MVE/Oau3N+ZbLY4jVV1DZqxrwTVeMSdjFWsCgGazcWOHksmSZmaKikaDdGk1OQItAAAAoAH27ZtVreYonS5ry5ZOBQL+xkVmrEtbr7llwfv33nbV6hUDAE0oEgkqkYhrYqKg/v42HTiQYe/DJkZPMQAAALDCKhVbY2M5TU4WFQgY6u+P+10SAGAZNm7skG07mpkpav/+Wdk2W800KwItAAAAYIXt31/vzpqZKWhwsE2myY/dANAKotFnu7SqVVsHDsz6XRIWwHdWAAAAYAVZlqNDhzKani7JdaXBwTa/SwIAHIfndmnt20eXVrMi0AIAAABW0PBwVrWao6mpgvr6YmwoDAAtJhoNqrc3rvHxepfWwYMZv0vCMRBoAQAAACvEdT3t3z+rVKosy3K0YUO73yUBAE7Axo3th7u0Stq3L02XVhMi0AIAAABWyNhYTuWypYmJvHp6oorFQn6XBAA4AbFYSL29MY2P51Wp2Dp0KON3SXgeAi0AAABgBXiep71708pkqqpUbA0NdfhdEgDgJGzc2CHLcpRMlrR3b1qOQ5dWMyHQAgAAAFbA1FRRhUJNExN5tbeH1d4e9rskAMBJeH6XFntpNRcCLQAAAOAkeZ6nPXuSyuWqKhRqGhpi7ywAWAs2buxQreYolSpr375ZurSaCIEWAAAAcJKGh7PK5SoaHs6pvT2snp6Y3yUBAFZAPH6kS6u+R+KhQ1m/S8JhBFoAAADASbBtV089lVIqVVapVNOWLZ1+lwQAWEEbN3aoWq13abGXVvMI+l0AAAAA0Mr27k2rVLI0MpJTT09MHR0Rv0sCgIazshOynJpGqwXt3LlzyfVdXd3ateumhtfVCPF4SD099S6tRCKm4eGsTjmlx++y1j0CLQAAAOAEVSq29u1La2qqINt26c4CsG54riMpIFtBTc5kFl1rmqtSUkNt2tSh//zP6bkurW3buhUIGH6Xta4RaAEAAAAn6MknZ1St2pqYyGtwsE3RKD9eA1g/jIApmVHZke4F1zjlrCLyVq+oBql3aUU1Pp5XX1+9S2v79m6/y1rX+I4LAAAAnIBstqLR0ZxGR/OSDG3c2OF3SQCw6gKxTm295pYF7x/+7k6pmlmtchpq48YOPfHEjFKpsp55JqWtW7vo0vIRm8IDAAAAJ+CJJ2ZULltKJkvatKlDwSA/WgPAWtbWFlZ3d1RjY3mVy5ZGRjjx0E981wUAAACO09RUQalUScPDOYXDpgYG2vwuCQCwCuonHtpKp8t65pm0XLf1xylbFYEWAAAAcBxc19Pu3TPKZqvKZivasqWTkRMAWCfa28Pq6qp3aZVKNbq0fESgBQAAAByH4eGs8vmqRkayam8Pq7c35ndJAIBVtGlThyoVurT8RqAFAAAALJNlOXrqqaSSybJKJUtbt3b5XRIAYJUd6dIaHy+oVKppdDTnd0nrEoEWAAAAsEx796ZVLtsaHc0pkYipvT3sd0kAAB9s2tShctlSOl3RM8+k6NLyQdDvAoBWVJneq4pV1p5iRjt27Fhy/cDAgO66665VqAwAADRKqWRp//5ZTU4WZNuuNm/u9LskAIBP2tvD6uyMaHw8r97eqMbGctqyha7d1USgBZwAz7Elw5SlkPaPTC66NmSuUlEAAKCh9uxJqlKxNTGR14YNbYpE+FEaANazTZs69OSTSc3OVvTMM2lt3twpw+CQkNXCd2HgBBlmSF6oTVZ8w4JrrNy04nJXsSoAANAImUxFY2M5jY3lFAgYGhrq8LskAIDPOjoic11aPT31kw/p3l09BFrASTDb+3T2xx9a8P7dn9ohlRbv4AIAAM3viSemVSpZmpkpaevWLgWDbEULAJA2buzQnj1JZTJVPf10Sps2ddCltUr4TgwAAAAsYmIir3S6rOHhnKLRoAYG2vwuCQDQJDo7I+roiGhsLK9isaaxsbzfJa0bBFoAAADAAlzX05NP1n/znstVtGVLpwIBfvMOAHjWpk0dKpVqh/fSSsnzOPFwNRBoAQAAAAs4eDCjQqGqkZGsOjoi6umJ+V0SAKDJdHZG1N4e1thYXoVCTePjdGmtBgItAAAA4Bgsy9HTT6c0M1NSuWxp61Y2+gUAHNvmzZ0qlWrKZCp6+mm6tFYDgRYAAABwDE8/nVKlYmtsLK9EIq62trDfJQEAmtTzu7QmJgp+l7Tmccoh0ECV6b2qWGXtKWa0Y8eOJdcPDAzorrvuWoXKAADAYorFmg4ezGhiIi/bdrV5c4ffJQEAmtymTR166qmUMpmKnnxyRoODbTJN+ogahUALaCDPsSXDlKWQ9o9MLro2ZK5SUQAAYElPPplUuWxrYqKgoaF2RSL82AwAWFxXV1SdnREdOlTfd/GZZ9J64Qv7/C5rzeI7M9BghhmSF2qTFd+w4BorN6243FWsCgAALCSdLmtiIq/R0ZyCQUNDQ+1+lwQAaBHbtnXpP/9zRhMTeQWDAW3a1KGOjojfZa1JBFrAKjDb+3T2xx9a8P7dn9ohlRbv4AIAAKtj9+4ZFYuWUqmStm/vZlwEALBssVhIQ0PtmpgoKJGI67HHpvSqV22RYRh+l7bm8N0ZAAAAOGx8PK/Z2bKGh7OKxYLq74/7XRIAoMVs3NihcNjUwYMZpdNljYzk/C5pTaJDCwAAAJDkup6efHJGs7MV5fNVnXFGoql/o37jjTcpm80suW50dFS2ggqE2N4AAFZDIGBo+/YuPfVUSjMzJe3ePaMNG9oVDrNx8koi0AIAAAAkHTgwq0KhpuHhrDo7I+rujvpd0qKy2Yxm0hk5zuLrLNuRAgxmAMBq6uqKKpGIaWQkq+7uqHbvntFLX7rwvso4fgRaQAt54xvfqOnp6WWvHxgY0F133dXAigAAWBtqNUfPPJPWzExR1aqt00/v9bukZXEcqeoaMmNdC67xijk1b58ZAKxdW7d26bHHpjU6mlUoFNCWLZ1KJBhlXykEWkALmZ6e1sj4pKwlfhMrSSG6WQEAWLann06pXLY0NpZXf39c8XjI75KWzYx1aes1tyx4/97brlq9YgAAc0IhU1u2dOrgwYz6+tr02GNTuvji7QoE+DXDSiDQAlqM5UglO6BQ58DCa3LTimvpfTLo+AIAQCoWazp4MKOJiYJc19OmTZ1+lwQAWCP6++NKJks6eDCjtraQ9u1L6/TTE36XtSYQaAFNoDK9VxWrrD3FjHbs2LHguj179shSSIGebTr74w8tuO6h93cqv9zHcyXDDCseX7z1lY4vAMBatXv3jCoVW5OTBW3cyKa9AICVYxiGtm/v1hNPTGtysqhgMKCNGzvU1hb2u7SWR6AFNAHPsSXDlKWQ9o9MLriuWrOkoKmltnU9vseLygjGZcUX3qBwuR1fAAC0mlSqpMnJgkZHcwoGA9qwod3vkgAAa0w8HtLgYLvGx3NKJGJ6/PFpvfKVm/0uq+URaAFNwjBD8kJtiwZL7mxyyTDrRB7PbO9btONr96d2SKWFgzEAAFqR53l64okZFQo1pVIlnXJKt0yT0wABACtv06YOpdNlHTyYUSRianw8r40bO/wuq6URaAFNZKlg6cHrju9EjJV+PAAA1pKxsbyy2YqGh7OKx0Pq6+P7IgCgMUwzoG3buvTMM2ml02X9539Oq78/rhB7u5wwfgUFAACAdadWc7R794zS6bIKhZq2bOmUYXDqFACgcXp6YurpierQoaxKJUt79iT9LqmlEWgBAABg3XnkkUkVClUdOpRVT09UXV1Rv0sCAKwDW7d2yXFcjY7mdPBgRplMxe+SWhaBFgAAANaVQ4cympoq6MCBjDzP0/bt3X6XBABYJyKRoDZt6tD0dFHFoqVHH52U53l+l9WS2EMLAAAA60ahUNMTT8xoerqoTKai009PsH8JADSQlZ2Q5dQ0Wi1o586dS67v6urWrl03NbwuPw0OtiuVKuvAgYzi8aAOHMjo1FN7/C6r5RBoAQAAYF1wXU8PPTShQqGm4eGs+vvb1NPDqCEANJLnOpICshXU5Exm0bXmOvn9QiBgaPv2bu3eXf8Fy1NPJbVxY4eiUSKa48HIIQAAANaFp59OaXa2rH37ZhUKmdq6tdPvkgBgXTACpmRGZUe6F3yruoYcx+9KV097e1j9/W0aHc2pVLL0+ONTfpfUcoj/ACypMr1XFausPcWMduzYseT6gYEB3XXXXatQGQAAy5NOl/XMMymNj+dVLtd09tn9Ms3m/N3ujTfepGw2s+S60dFR2QoqEHIbXxQAnKRArFNbr7llwfuHv7tTqmZWq5ymsGVLpzKZsoaHswqHTU1NFTQ42O53WS2DQAvAkjzHlgxTlkLaPzK54LpiNi3PcxQOhQi+AABNw7IcPfTQhHK5qsbH89q8uVNtbWG/y1pQNpvRTDqzZKeCZTtSoDlDOQDA0oLBgLZu7dK+fbPKZKp6/PFp9fXFm/YXLs2GQAvAshhmSF6oTVZ8w4Jr7NmkjGUEX5LE/rsAgNXy+OPTyuer2r9/Vh0dEQ0NNf9vvx1HqrqGzFjXgmu8Yk7GKtYEAFh5iURcMzMlHTo0q46OsJ5+OqWzzur3u6yWQKAFYNnM9j6d/fGHFrz/weviMgLmksGXlZtWXIxHAAAab2wsp7GxnA4dyspxPJ16arcMozViIDPWteh4zt7brlq9YgAADbN9e7cef3xaExN5BYMBbdrUqc7OiN9lNT0CLQArbqnga/endkilxTu4AAA4WeWypccfn1YqVVIqVdJpp/UoEuHHXwBAc4lGg9q4sV3j4wUlEjE99tiUXv3qLS3zCxi/MJgJAACANcfzPD388KQKhZoOHswqkYgpkYj7XRYAAMc0NNShcNjUgQMZpdMljYzk/C6p6RFoAQAAYM3Zt29WyWRR+/fPyjQNbdvW7XdJAAAsKBAwdMop3SoUakomy9q9e0bVqu13WU2NQAsAAABrSjZb0VNPJTUxUVQ+X9Wpp/YoGOTHXgBAc+vsjCiRiGt4OKtSydLu3TN+l9TU2EQAAAAAa4bjuHrooQnl8zWNjeU0NNTeVBvr3njjTcpmM4uuGR0dla2gAiEOUAGA9Wbr1k5lMhWNjGQVCgW0ZUuX+voYmT+WNfGrqltvvVWnnHKKotGozjvvPP3qV79acO29994rwzCOetuzZ88qVgwAAIBG2L17RtlsVfv2pRWLBbVpU6ffJc2TzWY0k85ocmbhN8t25LmEWQCwHoVCprZu7VQyWVIuV9Vjj03JdT2/y2pKLd+h9b3vfU87d+7Urbfeqle/+tX6yle+oksvvVS7d+/W1q1bF/y4p556Sp2dz/6A09/fvxrlAsCC3vjGN2p6enrZ6wcGBnTXXXc1sCIAaC1TUwUdPJjRyEhWtZqjc87pVyDQfCdEOY5UdQ2Zsa5j3u8Vc2q+qgEAq6WvL66ZmZIOHsyovT2svXvTOuOMhN9lNZ2WD7Q+97nP6d3vfrf+8A//UJJ0yy236Kc//aluu+023XzzzQt+3MDAgLq7u0/4uqOjo4vePzExccKPDWB9mp6e1sj4pCxn6bUhs/H1AEArqVZtPfrolDKZiqani9q+vVuxWMjvshZkxrq09Zpbjnnf3tuuWt1iAABNxTAMbd/erSeemNbkZEHBYECbNnWorS3sd2lNpaUDrVqtpgcffFB/+qd/Ou/2Sy65RP/2b/+26Me+7GUvU6VS0dlnn62Pfexjet3rXndc196yZctx1wugrjK9VxWrrD3FjHbs2LHk+vXUiWQ5UskOKNQ5sPCa3LTiYhQFAJ7r0UenVChUtX//rLq7oxoYaPO7JAAATlg8HtKGDe0aG8urtzemxx+f1itfudnvsppKSwdayWRSjuNocHBw3u2Dg4OanJw85scMDQ3pq1/9qs477zxVq1X9/d//vV7/+tfr3nvv1Wte85rVKBtY9zzHlgxTlkLaP3Ls5+oRa6ETabmjhHv27JGlkAI923T2xx9acN3uT+2QSov/vTXCcj+PvXv3yrZtBYNBveAFL1hy/XoKLAE0xsGDGU1NFbR/f0Zh2XpVd0lDzzymSK0sSaqGY5ru3aZk9xY5ZvN2bQEA8FwbN3YomSxrfDyvaDQox3FlmmtiK/QV0dKB1hGGMX+XAc/zjrrtiDPPPFNnnnnm3PsXXnihRkZG9JnPfOa4Aq2RkZFF75+YmNAFF1yw7McD1hvDDMkLtcmKb1hwzVrpRFruKGG1ZklBs2lP61ju51EslaWAKUvGuggsAfirUKhp9+4ZTU0VFc3O6PciexQbrcxbE6/m1JOf0vbxx/XEaRepEO/1qVoAAJbPNAOKxYJynPqm8B57w8/T0oFWX1+fTNM8qhtrenr6qK6txbzyla/UHXfccVzX3ryZVj/gZJntfS3diXTEcjqMljNK6M4mVzTM8vXzCKyfwBKAf1zX00MPTahQqMkbPqjfDT6hoLPw15WIVda5T/1c//mC1yjbsfyfFQEAQPNp6UArHA7rvPPO09133623vOUtc7fffffd+u3f/u1lP87DDz+soaGhRpQIoAU1anP2UOfAogHeg9fFl/9gy+D359GsgSWAteOpp5KanS3rwN6UrjH3KriMkNz0HJ0xfL8eOOtSeQHaRAEAaFUtHWhJ0vXXX6/f//3f1/nnn68LL7xQX/3qVzU8PKxrr71WknTDDTdobGxM3/zmNyXVT0Hcvn27zjnnHNVqNd1xxx36wQ9+oB/84Ad+fhoAjsHPzeOX04lUHt8tw3NUzC1e39zeWGF7RWo7HmwyD2CtSqVK2rs3rbGxvM6oDqs7UF72x8aqBQ0l92l84IwGVggAABqp5QOtq6++WqlUSp/85Cc1MTGhF73oRbrzzju1bds2SfW9rIaHh+fW12o1fehDH9LY2JhisZjOOecc/fM//7Muu+wyvz4FAAvwe/P45XQiedKS9fm9N9ZSn8dD7+9UfhnBoZ/BHAA8l2U5evjhSeVyVU1M5HVxW0GqHt9jdOenCbQAAGhhLR9oSdJ1112n66677pj33X777fPe//CHP6wPf/jDq1AVgJXQ7JvHL6e+ld4ba7mda8sNoJYbHPodzAForFY6yfTxx6eVz1e1f/+sOjoiSjjF436MtkpmRWu68cablM0u/Zijo6OyFVQgRGcsAAAnY00EWgDWtmbfi2mp+lZ6b6xGBFB+BHMAmkurnGQ6NpbT2FhOhw5l5TieTj21W6EnK0t/4PNrs47/YxaTzWY0k87IWeLvz7IdKcBXUwAAThaBFoCW5+deW35pRAC12sEcsFas9ImijTihdLma/STTUsnSY49NKZksKZUq6bTTehSJnNiPs+VyWVdddZVM01zW4UBdXd3ateumRdc4jlR1DZmxrgXXeMWcjOMtFgAAHIVAC0DLW27HUjGbluc5CodCa2KvKAIooDms9Imiy+6UWubXtCOWG3w160mmruvp4YcnVCxaOnQoo0QirkTixL/OeZIsx5MtQ5MzmQXXVUp5yXMVDI5q586dC66bGyVsH9DWa25ZcN3e26464ZoBAMCzCLQArAnL6ViyZ5My2CsKaDg/O4z8stInii7n8Zb7NW0thPme5+m//JerNDlZUqXSIc8zFIvlZRieJOmX15yv9vAJ/FhrmJIZlR3pXnCJW8xJCshWcNHgi1FCAABWF4EWgDVjOR1LRsBkryigwfzuMPLLUp1Nx9uxtJxOqeV8TWv2MH85AWi53Kl9+1Jy3B7JkCLRgnLFZ4M3zzvx6wdinUt2VBlGYMngi1FCAABWF4EWgHWHUT2sF82+F9NygxZpZTcXX2sdZM0a5h/XiayuZJhhxeNHf/117G45TkSW3SEZMRmhkpxo+/xFq5AkLSf4AgCcOCs7IcupabRaWHTE+4jl7G2ItY1ACwCANcrvTqmV6jAqj++W4Tkq5lbm4IeV/ntp5lG952ruE1mjMoLxo/4duFabXLXLU0xSTjIyMuPdRwVLRvAfJDX33z8AYHGe62g5I96SZDbgFF20HgItAADWsGbulDpiOUGLJ61ofSv598K+ews7nhNZn//voJrKqDw6pdpsXlYmp4n/c4MMo7IKVQMA/GIElt7b0ClnFdFJzJpjzSDQAgD4YrnjSHv37pVt2woGg3rBC16w5OM2+3jYSljuyNxc51DPthXplDqeTc1X2nKCkeOtb6U6yJY7qndcI3gt0PG1XCfSGVbL5FUenZKVLcjK5BTq6ZSMkkRsCABr3lIj3sPf3SlVM6tVDpoYgRYAwBfLHUcqlspSwJQlY9W6h5p9j6Xljswdb+fQUsHD8W5qvtL8qm+lRvWObwRv/XZ8WbmiSocmZOdLqqWzCnW1K9zd4XdZAACgyRBoAQB8s+xxpMDS645nn6XV3mNpudc9HssZmePEzuZzPCN465FdLKt4aFx2saxqMqNgR1zh3i6/ywIAAE2IQAsA4Kvldr+s1D5LfuyxdDzXPR7LGZlD8+Gk1WPz3KCK+0frYdZMWmZbVOFEt99lAQCAJkWgBQBYM5bqfvFrjyU/955aT9brHlVrgeeF5NUSsstVVadSMqNhRfp7ZBiG36UBAIAmRaAFAFhTFut+8WuPpYfe36n8Cm6A71cg0+yBEXtUtSbPC8rQkDw3qMpkUoFISJGBXsIsAACwKAItAMC64Vcgs9Ib4PsVyLRCYMQeVa3FtWzJ2yhPEXl2hwJBU9GBhIwA/4cAAMDiCLQAAOuGn4HMSm6A72cg0wqBEXtUtQbXdlQ8MCZ5EUm9kuEpuiEhwyTMAgAASyPQAgCsK34GMiu5Ab6fmr0+ND/PdVU8OCarUJKUkDxDRrAgw2zA6QkAAGBNItDCivNcT57rynMceY4rz3Elt/5fz+uS3KA8q0OV6bQMMyDDNGUEAof/XH/f8wyxcwaARiGQAfzjuZ6KB8dl50uqTqUkBSQjJcPo97s0AADQQgi0sCTHCcp12uVacZUnkofDqcNh1ZGgyt0qKSS3skHZx59e+MHcPnmBkFy7Q6XRKRkB49ibvnqnynMCcisDyj25/3DgZc4LvRQIyPO6JU/ynKjsUkVmNMy+GwAANCnP81QamZSVLagylZJrWZJSMgxOAQUAAMeHQAuLyuerKhQSsm1TrtWp8th0PdDy6l1Ycl15rid5PfJcU64dV3Vmth50uZ50pFvLdSXPkzQkuYY8q1vl4Yn6RQxDOtKhdfjP8rrlSfLstnonV+DwfWZg3p/l9tfXWT0qPHNIkhQIhxSIRmRGwzIjEQWiYTq+AABoAuWxadVms6rOpOVWa4oOJiTDltimHwAAHCcCLSwqk6lIkhy7X67aVB5daBPlNsmTDC8k17afHSEMBWQEDgdWAUNSRjIkIxhUZKD3cCjmPScAOxx+KSDJlOeFZGUL9TDM845x3UHJNeTWulUem1EgHJQRCikQDioQCskIHg6/vFPlua7cWo/KEzNzQRcdXQAArI7yxIyqyVnVkhk5pYoigwmZsYjfZQEAgBZFoIXlM2uKbkjUwynj2ZDKCAQkY0qGEZARMhUbWmQPDKNcXxewFWyLLbIuLcMIKBAKqW3bkCTNdXnVRxw9yXMlzUqGKcOMKhAJyq3ZcktlyT0cfhmGAqFQvePLc+XZ7SqPzTwbdGl+R5fndUiefezsDAAAnJDKdFrV6bSsdE52oaRIf4+C8ajfZQEAgBZGoIVlMwxbZsy/Hz6PdFLNOwHJqNQDMrOiSF/P3M2ubcut2fIsS27NlhSU3JA8u6PeZXY46Hq2o6v+Z3kDkhuQV92g3J4DCrbH629tMQVCPF0AADhenh1XZWJGtdm8rFxB4USXgu0cvAAAAE4Or9CxJgWCQQWCQUmHAzgjOddBFhlMzAVdrmXJLZafHWf0NsiTM7cXmJ0v1YMuSYFoRMG2mILtcXlegD25AABYgue1ybO7ZGULsjI5hXo6Feps97ssAACwBhBoYV0xDPfwiMOznWae58lznMOdXHlJYRleULVUpr7ANGUeHkm0Y5F6p5Z3ijzXlmt1yMoWZLbFFAiax7giAADrk+d1yPAG5blh1dJZhbraFe7u8LssAECLs7ITspyaRqsF7dy5c8n1XV3d2rXrpobXhdVHoIV1zzAMGUc6uoyiDKMsIxRTfNuQ3GpNTrkqp1JVLVWqf4BpHt6Ty5Zndap4cKx+cyxa7+DqiMuME3ABANYnz/VUHp+WvAF5RlyeHVewI65wb5ffpQEA1gDPdSQFZCuoyZnMomtNXpKtaQRawAKMQEBmLDq3b5jnunIqNbmVqup7csXl2V0qDU/KjEVkRiOyYhEFkqYkQ2YsIs9LSF5NnseAIgBg7XNrlooHx2UXy5LXJXltMgI1hRPdfpcGAFhDjIApmVHZke4F1zjlrCLitK+1jEALWCYjEKiPK8ajkpGUZMoIhmS2xeRWqrIL9Q4uI3hkRDEiub2SJK86qPwzwwp1tinU2c4x5QCANcfKF1U6NCGnUlN1Oi0pJhlZGUHNnSwMAMBKCcQ6tfWaWxa8f/i7O6VqZrXKgQ8ItIATZBiejIClSKI+QuE5jpxKTU6lKqd8JOAalOe5hzeZT8sulFSZTCoQDinU2a5QV7vMtpi/nwgAACfB8zxVp9OqTKZklyqqzqRlBAxJSRmGK4lRQwAAsPIItIAVYphmfQ+twwGV5ziSZiVFJa+n/ttqw1AgElGwLVr/oT85K8M05XkDkleZO2wRAIBW4NqOSiOTsrJ5WZn6SYZmLKpIf49k2JICfpcIAADWKAItoEEM05SMigyjpkAortjmQTnliuxipX6CYkoKhMMy26KHRxMdedVBFQ6M1bu3OtvqJyoCANCEPDeowjPDsssVVWdm5ZYrCnV3KNTdwYghAABoOF4tA6skEAoqEGpXqLNdnuPWw61SRVY2L6nv2dHEqZSsbF6GYciMxxTqqn+MGQ37/SkAACBJ8rx2ebU+WfmiqtMpea6n6IbE3EEqAAAAjUagBfjAMAMKtscVbI/L8zxJhzfP9XpVmUxKhzegN+Pl+r5bEzMKhMOHT01kNBEA4A/P9eR5/TK8bnlOpP79KRRUdEMvXcUAAGBV8ZMH4DPDMCSjKsOwZATjim7sl1OqyC7WwywZhgKxiIKx2HNOTRxQaWRSoa52BdvbDm++CwBA47g1S8WD45LbKc/okue0KdgeUzjRzYghAABYdQRaQBMxDMmMhGVGwgr3dMq17Hq4VaqolppV/dREW54TU2UypVo6KyMQqI8ldnUo2EG4BQBYeVa+qNKhCTmVmqQ+yQvLMIuK9PX4XRoAAFinCLSAJhYIBRXoaleoq/3wqYkZSXF5TkzlsSkZ4ZCC8aicSlW12ZyMQEDBznZ5XpvkVX2uHgDQ6jzPU3U6rcpkUnapqupMWlJAMpIyzD6/ywMAAOsYgRbQIuqnJpZlGFUZoYgiA71yShVZuYKsTF5GKKhgW0xOuSp5GyTXkFvrVi2TV6izTUaAo9MBAMvn2o5KI5OysnlZmYKsTO7wpu8zjBgCAADfEWgBLcgwpGBbTMG2mMJet5xyVU6xLCtXlJXJS16/PNXk2W0qHRqXAgGFOtsU6uog3AIALMkpV1U8OCa7XFV1ZlZuuaJQd4dC3R2S4Uki0AIANDcrOyHLqWm0WtDOnTuXXN/V1a1du25qeF1YOQRaQIszDEPBeFTBeFRhz6t3aKkmeXF5dpdKI1NznVtWJl8PtzraFOrukOcZvCQBAMzjOTHlnzkkp1JTdTolz/UU3ZA43J0FAEBr8FxHUkC2gpqcySy61jRXpSSsMAItYA05Em7JyErKywiGZMbCsvJFWdm8jKCpYFu8Hm5l85J3ijy3Is+JynNcGSadWwCwXnmeJLdPntUtK1tULZ1RIBRUdEOvAiF+ZAQAtB4jYEpmVHake8E1TjmriLzVKworhp9OgDXKMCQjYCvS16NwwpNbqcouVuaFW/K65HlReVaPsk/srXdudXUo2NmmQJBfUwDAelHL5CVvqzxF5Npx1VKzCnbEFU50s18WAKClBWKd2nrNLQveP/zdnVI1s1rlYAURaAHrgGEYMmNRmbGowokuuZWa7GJZUkxy2+VaXaolM3LKVdWyeRlGQMH2uELd7Qp1tvtdPgCgQexCSeXxGTnliuS1S+qW3IjCfd0KdbT5XR4AAMCCCLSAdaYebkVkxiKSpiQjKsOIyy6WZOUKkmkqGI/KLldk5QsyDEOeu0kyyvI8RhIBYC1wKlWVJ5KycwU5VUu1dFZSryRLRihHmAUAAJoegRawnhmSYdRkBEuKbdkgt1qTXazIKZVl54tSIFDfk8vrkufG5VUHlX/6UP2kq652mZGw358BAOA4uDVLlcmUarNZuZat2mxOTrEsIxSUlJZhWDKMDX6XCQAAsCQCLQCSDnduRSMyoxEp0SWnWpNTqhweTeyVXEOu1aZqclZ2sazKxIwC0YjCXe0KdXUc7vgCADQjzwvIszqU23NArmXLyuRl50syzIDCfd0KtscloyqJTlwAANAaCLQAHJMZCcuMhBXu6ZQ0LRlxGepUdTotHR5bDMZjsotlBaZSCoRD8ryE5JXrJ2UBAHznuZ48r1uGEnLtdtXSufopt4ahUE+HQp1tMgKEWAAAoPUQaAFYmuHIMIoyQjnFNg/WO7dKZVWTs5IMBaIRBduiktsrSfKq/SqNTtVPTGyLyQhwQhYArCbP82TN5lWZTEpuQl6gXZ7VJSubV6izfqKtYRJkAQCA1kWgBeC4BEJBBbraFepql2s79f22ihXVUhlJg/I8W54Tr+/RksrICAQU7GhTsKNNoc42BUJ82QGARrJyRVUmZuRUqofHxvslNyQjYCm2eUCBIF+HAQBA6+MnGgAnLBA0FehsV6izXZ7jSMpIistz4iqPTioQDsuMRWSXKgpkcodPWIzK83olr8poIgCsILtUUWViRnahJKdcVS2dk1urSXIkIysj2EeYBQAA1gx+qgGwIgzTlIyyDKMqIxRRpL9XdqksK1+s79cSCMiMRRWMRSQ3IUnyqgMqHppQqKNNwc42BYKmz58FALQezzVVPDQuK5OXW7NUnc3JLVUUiIQU3dAnGWkZBuOFAABgbSHQArDiDEMKtscUbI/J8zy5VUtOuSKnVFG1WNK80cSp+vHxR7q3Qp3tCna2cWoiACzB80zJ7ZNX61c1mZE1m5NdKMkIBRXp71WwPeZ3iQAAAA1DoAWgoQzDkBkNy4yGpZ7O54wmxuQ5UVXGpyXTVDAWkRmPyiqUFJgKyDBNed7A4dFENpUHAKl+aqGVK8iazUneNnkKybPjKo9OSYahcKJLwY42GQZfNwEAwNpGoAVgVc0fTYwqOtQnp1SRU67KLpRUPzUxJDN25NRER151UPm9w/XRxI569xYv1gCsF57nySlVVEtnZWUL8hxHTtWSvC5JbfLciEKHD+swAowWAgCA9YFAC4BvDEMyoxGZ0fp4oWs7c6OJVjYvqa8+smi3qTo9KztfkhFIyggEZMZjh8ca4/I8iXgLwFrjuabKE0lZmZzcmiXXcmQXSrILJXm2LSkqqSQjFFC4p9PvcgEAAFYVgRaAphEImgp0tCnU0SbP8ySlJMUkr1vV6ZQkQ4FISGY0okC0pEA2rIAZkLxT5bmWPKtDVr6oYDwmw6RLAUDrcS1bntcluV3yagMqT8zIKZZlF0tyKzXJMBRsiynY3iVpWoYRkGG0+V02AADAqiPQAtCUDMOQjJoMw1Yg1KbY5kE55aqcSn000cvmJUmBcEjyuuR5tly7Q8X9o5IMmbGIgu1xBdtiMttinKAIoGl5risrV1RtNic7V6xv9B6IybXaVB6ZlDxPZiyiSH+PzHj02bFCWlMBAMA6RqAFoCUEQkEFQkGFOuudCK5ly6lU6x0LikhuuzyrW6XRKZmRsMxoRFa+OBdkBaIReV6f5NXkeXRvAfCX53myC2VZszlZ2bw815VTqR3eS3BQck0ZMhXu6SSUBwAAOAYCLQAt6UjApY42yZiRFJQRrAdZR7q4pPom9GYsokAkIrkJSa686qByTx5QsD0mMx6TGavv42UEaHcA0FieF5JndSj35H55li3Xsp+zL5ZTPzhDJcmoyghJoa52v0sGAGBNs7ITspyaRqsF7dy5c8n1XV3d2rXrpobXhaURaAFYEwzDlRGoKdLXLUn1U8AqNTmVmtzqkYCrv77JvNWm6kxadj4iIxw8PN5o1Du7YtH6/jWeLc8j4AJwclzLll0syymW5blbZBhRuXa7aqms7EJJbrUmBQwF4/VDLgLRsGTkZRh0kgIAsBo815EUkK2gJmcyi641aZhuKgRaANYkwzTrGye3xSTV96ipbzIflaEu1WZzqh+PaCgQDh1+CysQCUlun6SAvOoG5Z48UO/gikVkxqL1bq8QXzoBHM3zVO8QPRxg2cWy3JolqR5syeuSp7g8q1u1VEZmPKpIf6/MeOTZfbEAAMCqMwKmZEZlR7oXXOOUs4rIW72isCRelQFYF4xAYG6TeSOUV3zbkNxKTW6tJqdq1V+E5ouHVw/J81y5dlzVmbSMI4HX4ZMTjWBQZjQiz0tIniXPNeV5Xr3TC8C64bmenHJFntcjuXF51UHlnzooz/XkWrbcSrXeKVqtSY4jqVuSLcMsK751w+HxQgAA0AwCsU5tveaWBe8f/u5OqZpZrXKwDARaANYlwzDmOq9Ch2/zXLfeRaGspLAMr/vZTi5JRtB8XidXQpInrzag3H/uVeDwXlxmJKxApL4mEAotUAGAVuPazlznlV0syylX6l8f3D55gYg8u03liWR9jPBIB2gkrFBHXIFIWNKkDMOQYYYIswAAAE4SgRYAHGYEAjIjYckoyTAqMkJxxbcN1Tdurllya5acqiUrV5BcV9JA/bWs1a5qMqNAOKhAOCQjGHzOBvOGPHebJEeu1anqzGw96AqH62vZiB5oSp7nyfNCktcm1+pSbs+BelClerB1pPuqftug5Bry3PrhEuGeDgUiEQUiofmdm4Yniec8AADASiDQAoBFGIYxN3L4XK5tS0pLisgwOmQXS/KyzrMfZ5oyQkEFgqbkdcvzXHlWh0qjU/NCrEAoVA+4ImF5XrfkOfLcoDzXZU8doME8T3KqltxaTW7VklutyanV/+vWLMnbKs8NyLPaVZ1Oz40n18cHJSMUlBkNS8pIhq1AWIoOJnz9nAAAANYLAi0AOAGBYFA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      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 21 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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HP/7h3kYCDiBQlKADQJS6++67NXjwYC1evFhfffWV1qxZo6+//lqzZs3SnDlz9Prrr+vvf/+71zFVq1bV6aef7nOu1NRUrVixwv3f//vf//Tbb7+pTp06Gj9+vM/+Bw4ckCRt3LjRvc0Yo7lz52revHn64YcfdOTIETmdTvfru3fv9nsf7du3D/iejx07pq1bt6p58+Z+y0c7d+6sTz75pNDzNGvWTC1bttT8+fO1Y8cO/eMf/3CXXMfHx/s9pnPnzj7b2rZtq3Llyum7774r9JrBvD9r1qyRMUZdu3b1W7bvaeXKlZJyfxb+lmvau3evnE6nfv75Z7Vt29a9vUmTJj6lxCkpKZKkVq1a+ZTUu17btWuXz7VXrlzpt7Q6IyNDBw8e1MGDB1WzZk339r/85S+Ki/Ne6dQ1U/jhw4cLvN9QyMnJcf9ex8XFqVq1aurevbtuvfVWn7+ZQDRo0ECDBw/WtGnTdO+996pKlSp+9zvnnHP0ww8/aMWKFVq6dKm++eYbffHFF1q4cKEWLlyo66+/Xi+//LLfjzMsW7ZMd9xxh6pXr6733nvP52eHwJQrV04vvviiJk+erP/85z9atWqVVq1apbVr12rt2rV69tlntWzZMq+PbHh+/EHK/f198cUXlZ2drfnz52vu3Lm69dZb3a8PHTpUWVlZevrpp23dFoAShAQcAKJYpUqVdPXVV+vqq6+WJB05ckT33XefnnrqKd10003atWuXEhMT3fvnlxgkJCR4JYO//vqrJOnHH3/Ujz/+mO/1PdfLHT58uGbOnKl69erp73//u1JSUpSUlCQpd/mlP//80+85TjvttADvVu6lfGrXrl2scyUkJOjTTz/VuHHj9M4777iXnapZs6b+7//+T6NHj/ZJxPO7Zu3atb2S0vwE8/64ktC6desWel7Xz+rf//53gfudurZx5cqVffZJSEgo9LWsrCyfa8+aNavQa3sm4P5+D13nz8nJKfBcoZCUlKSMjIyQnrNcuXJe/+bH4XDo/PPP1/nnny8pt2Pm/fff1w033KB///vf6t27t3r27Ol1zPbt23X11VfLGKPXXnut0HkSAuH6GeS3PNbRo0e9fk6B7O+5n+v7YPa3KTU1VQMHDtTAgQMlSZs3b9aAAQP0+eefa8SIET5rwvtz0003af78+fryyy/dCfj777+vN998U/PmzQv6M+YAIElxhe8CAIgWVapU0cyZM9WgQQMdPHhQ69evL9J5XAlY7969ZXI/juT3a+7cuZKk/fv3a9asWWrVqpU2btyoefPm6cEHH9S4ceM0ePDgAq9V2ORl/tq1f/9+v6/v27cv4HPVrFlTM2fO1K5du9yThtWoUUNjx47VtGnTfPbP75r79+8vNIkI9v1xTa4WSGLvek8++OCDAn9WF154YaHnCpbr2uvXry/w2g0aNAj5tUsKh8Ohf/zjHxoxYoQk6dNPP/V6/Y8//tA//vEPHThwQA8++KAuvvjikFzXNVHaL7/84vPab7/9poMHD7r3KWx/z+2nHvP7779r7969Ae0fSY0aNdK8efMk+f4M8uPqVDpx4oR727fffitJ6t+/vxwOh/vLVXm0ZMkSORyOoCbPBFC6kIADQIxxOBwqX758sc7RrFkzVa5cWWvWrPEa8czPli1bZIzRRRdd5HPt5cuXF6stnipXrqzTTz9dmzZt8vtQX5RrORwONWvWTLfeeqt7hu8FCxYEdO41a9bojz/+KPRhOtj3p23btoqLi9PSpUsLff87dOggSV4fIbDFxrXj4+OtjIrnd23Jzqh8fiXlN998s7799ltde+21uvvuu0N2PVeHzH//+1+f11zbPDttmjRpojp16ujLL7/0qabIyMjQ559/rjp16qhx48YBXWPJkiU+14i0YMv6v/76a0lSWlqae1ubNm100003+Xz16dNHUu7I+0033aRevXqFrN0AShYScACIQs8++6xWr17t97V33nlHGzduVNWqVdWiRYsinT8hIUFDhgzRtm3bdNddd/lNAn/44Qf3qLBrhPOrr77yKmXfuXOnRo0aVaQ25Kdv377KzMzUAw884LX9v//9b0Cf/5akrVu3asOGDT7bXSPo/sqIX375Za9y/OzsbN13332SpH79+hV4vWDfn9NOO029e/fW5s2b/X4Gf//+/crOzpYkXXnllapfv74ee+wxff755z77ZmVl6YsvviiwfUV14403qlKlSho9erTfjyqcOHHC/TnxoqpevboOHjyYb8l4ly5d5HA43EtehZJr6bCdO3cW+1yrVq3SSy+95Pc+9u/fr+eff16S1KlTJ/f2hx9+WPPnz1fr1q3dr4dK9+7d1bBhQ82fP99rDoNjx45p4sSJSkhIUP/+/d3bHQ6Hbr75Zv3++++aMGGC17kefPBB/fbbb7r55pu9KlpuvPFGJSQkaPLkyV6l6D/++KNeeuklNWrUSN26dSvWfXz22WdyOBwBL003YcIE7dixw2e7MUYPPvigJO+fwZYtW7Rnzx6f/X/66SeNHj1akvTPf/7Tvf3vf/+7nn/+eZ+vqVOnSpLOOussPf/88z7xCwBc+Aw4AEShDz/8UIMHD1bjxo3VsWNH1alTR7///ru+++47LV++XHFxcXrqqafcnzEuivHjx2vt2rV64okntGjRIl144YWqVauWdu3apfXr12vdunVasWKFateurZSUFPXu3Vtvv/222rZtq+7du2vfvn1auHChunXrpi1btoTs3keOHKl33nlHs2fP1o8//qgLLrhAO3bs0BtvvKHLL79cixYtKvQc69atU8+ePdWuXTu1aNFCycnJ2rVrl9577z3Fx8e7PxPu6aKLLtK5556rf/7zn6pevbr+85//6IcfftCll16qf/3rXwVeryjvz1NPPaUffvjBPVlUt27dZIzRzz//rP/+97/at2+fqlatqqSkJL311lv661//qgsvvFDdu3d3d7xs375dy5cvV40aNbwmzAuVWrVq6dVXX9XVV1+tv/zlL+rRo4eaNm2qjIwMbdu2TcuWLdP555+vxYsXF/ka3bp105o1a/S3v/1NnTt3VmJiojp16uROklwdGq7PkIfSeeedp3Llymn69Ok6evSoe13vonQq7d69W/369dOwYcN0wQUXqGnTpkpISFB6eroWLlyo48eP6/LLL3fP57By5Urde++9kqTWrVv7/ViEp/79+3uNxBYmISFBzz//vC699FJ17txZ1157rSpXrqx33nlHW7du1aRJk3TGGWd4HTNy5EgtWLBA06ZN07fffqtzzjlH69at04cffqjWrVtr5MiRXvufccYZGjdunMaMGaNWrVrpqquu0vHjx/Xqq68qKytLs2fP9vm5vffee3rvvfck5XaUubalp6dLyk2Ob775Zvf+wf78H3vsMY0bN05t27bVOeeco+rVq+vQoUP69NNP9csvv6hGjRp69NFH3ft//vnnuuWWW9S1a1c1atRIlSpV0i+//KJFixYpKytLDzzwgM4999yArg0AAbEx1ToAIDgbN24006ZNMxdffLE5/fTTTdmyZU3ZsmVNo0aNTL9+/fyu7VvQck6uJcFOlZ2dbZ599lnTsWNHU7lyZZOUlGTq169vevToYZ5++mmvpZCOHTtm7rzzTpOWlmaSkpJMkyZNzMSJE01mZqbfZbnyu2YgDh06ZAYOHGhq1aplypYta8455xzzzjvv5Lts1KnX37Fjhxk1apQ599xzTe3atU1iYqKpX7++ueqqq8zXX3/tdaxrGbKlS5eaZ5991jRv3twkJSWZ1NRUM2rUKHPixAmf9vm732DfH2OMOXLkiLn//vtN06ZNTVJSkqlSpYpp3bq1eeCBB3yWJ9u5c6e57bbbTJMmTUxSUpKpXLmyadasmbn55pvNJ598Umj7jDm5VFK/fv18Xlu6dGm+S0Jt3LjR3HTTTaZBgwYmMTHRVKtWzbRs2dIMHz7crFq1KqDzF/S+3XLLLSYlJcW9dJSrDU6n09SoUcOkpaW510UvTH7rgOdn0aJFpl27dqZcuXLuZav8cf2e5Ldk2dGjR80rr7xi+vbta8466yxTtWpVk5CQYGrVqmW6d+9u5syZY7Kzs937u36XA/1aunRpwPfk6euvvzY9evQwVapUMeXKlTNt27b1WZPe0+HDh82IESNMvXr1TJkyZUy9evXMiBEj8l16zRhjXnnlFdO2bVtTrlw5U6VKFdOjRw+v3wtPrvcxv69Tf3dmzJhhJJnZs2cHdL+ff/65GTVqlDnvvPNMnTp1TJkyZUzFihVNq1atzF133WV2797ttf+6detM3759TbNmzUyVKlVMQkKCOe2008zf//53s2TJkoCuaQzLkAEInMMYY8Ka4QMAEMXGjRun8ePHa+nSpQGXucKOH374QS1bttSsWbM0dOjQSDcHEXDVVVdp5cqV2rJli9eKDwAQq/gMOAAAiErLly/XaaedpgEDBkS6KYiQL774QnfddRfJN4ASg8+AAwCAqDRkyBANGTIk0s1ABPlbDQEAYhkJOAAAQAwYN25cQPvdfvvt7rXmAQDRhc+AAwAAxADPJcAKsnXr1qBmTAcA2MMIOAAAQAxgzAQAYh+TsAEAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMh5HQ6VbFiRd15552RboqXnJwc1a5dW48//nih+0brPQCInGiNC8Q2AMUVrbGB+FZykYADIfTjjz/q+PHjateuXaSb4uXzzz/XgQMH1KtXr0L3jdZ7ABA50RoXiG0AiitaYwPxreQiAQdCaNWqVZIUdQHwrbfeUtu2bdWgQYNC943WewAQOdEaF4htAIorWmMD8a3kIgEHimj27Nlq2bKlypYtqxYtWmjJkiVatWqVqlWrpkaNGkmSateuraFDh/oc2759e1122WVW2mmM0bvvvqvevXv7vBbIPfz0009yOBx+v6pUqSJjjJX7AGBHaYltvXr1Umpqqs+x2dnZat26tS6++OKw3wMAu0pLfNuzZ48qVqyof/7zn17HLly4UGXKlNHo0aOt3Af8S4h0A4BYdPvtt+vZZ5/VXXfdpW7dumnjxo3q16+fEhMT1bZtW0nStm3bdODAAbVp08br2OzsbH3//fe66667rLT1q6++0p49e3yCeCD3IEl16tTRihUrvI79+OOPdf/992vAgAFyOBxW7gNA+JWm2HbBBRfo3Xff1bZt27xGmB577DFt3LhRb775ppX7AGBHaYpvKSkpGjlypMaNG6e7775b55xzjj777DNdffXVGjJkiCZPnmzlPpAPAyAob731lpFkXnvtNa/tU6ZMMZLMfffd57Xf2rVrvfb79ttvjSTz9ttvu7c9+eSTpnXr1iYhIcGMHTvWa/+ivuZy++23m5YtWxbpHvx59913TVJSkrnrrrvy3ScQGRkZpnbt2ubIkSPFOg+A0Chtse2bb74xksz8+fPd27Zs2WLKly9vJkyY4PeagSK+AdGltMU3Y4w5fvy4qVOnjunevbtZtWqVqVSpkrnxxhuN0+n0e81AEd+KjxJ0IEgTJ05Uu3bt1KdPH6/tzZs3lyR3D+SaNWuUmJioFi1aeO33zTffSJJX72rdunU1YcIEXXXVVT7XK+prLu+8845PD2qg93Cql19+WVdffbXGjBmjhx9+ON9rBiIpKUn79u1T5cqVi3UeAKFR2mJb69atVblyZX355ZfubUOGDFG9evV0zz335HvdQBDfgOhS2uKbJJUvX16TJk3SJ598oq5du+qvf/2rZs+eXezKReJb8ZGAA0HYu3ev1q1bp+uuu87ntZ07d0o6OQHG6tWr1bJlS5UpU8Zrv2+++UbVq1dXWlqae1vPnj31t7/9TVWqVPE5b1Ffk3In5di+fbtXEA/mHjzNnDlTN954ox5//HGNGTPG67U5c+aoZcuWqly5slq1aqUdO3ZIkm699VYNGjRIUu4SGX//+991xx13SJJmzJihm2++2W+7AdhVGmNbXFyczj//fH311VeSpH//+99asmSJnnnmGSUmJrr3I74Bsa00xjeXM844Q5LkcDg0b948xcfHe71OfIsMEnAgCK4gl5KS4vPa/PnzlZyc7J7U59tvv/X5DJEkffTRR363h8Pbb7+tM844w6snN5h7cJk8ebJGjBihF154QcOGDfN6bdKkSXrmmWf0xhtv6LffftPMmTNVo0YNSdK9996r1157Tbt27dLdd98tSXrkkUckSd9//71atmwZupsFUGSlNbZdcMEF+v7777V9+3bdcccd6tevn7p06eJ+nfgGxL7SGt++++47XXHFFerYsaN+//13vfDCC16vE98ihwQcCEKtWrUkST/88IPX9rfeektfffWVu/wnMzNTv/76q+rWreu139tvv61NmzZZDeKnljAFeg8ud999tyZOnKg333xTN9xwg9dr+/bt08MPP6z58+erWbNmio+P1wUXXKDy5ctLklJTU/Wvf/1LV1xxhT799FPNnz9fcXG5Yef7779Xq1atQnq/AIqmNMY2KTcBz8nJ0RVXXKGcnBz3A6ZEfANKitIY3/73v//p0ksv1XnnnaelS5fqyiuv1Lhx43TkyBFJxLdIYxZ0IAj169dXu3bt9Pjjj6tWrVpq1aqVPv/8c82YMUPSyfKfxMRENWzYUO+//77+9a9/qVy5cnrvvfc0bdo0SbISxL/77jtt3rzZJ4gHeg9S7mybM2bM0MSJE5WcnKyVK1e6X0tJSdHy5ct17rnnqkmTJvm2o3Xr1nrqqae0YsUKVaxYUVJuOdOGDRsI4ECUKG2xzaVdu3YqV66c1q9frxdeeEE1a9Z0v/bRRx8R34ASoLTFt/T0dF100UU688wz9fbbb6tMmTKaOnWqWrRooSlTpuihhx4ivkUYI+BAEBwOh9544w117txZo0ePVs+ePbVmzRr3hGSePZAvvviicnJydNZZZ6ljx45KT0/XvffeK8lOEH/77bfVoEEDnXPOOUW6B2OM5s6dK0m6//77dd5553l9vfvuuzp06JCqVq2abxtWrVql8ePH6+qrr9aLL77o3r5p0yZVqVLFXeoEILJKU2zzFBcXp2rVqqlz587q37+/12vEN6BkKE3xbc+ePbroootUu3ZtLVy4UOXKlZMkNW3aVAMGDNCMGTOUnp5OfIswRsCBIKWlpenDDz/02T5gwACv/+7UqZPWrVvns59rUgtP2dnZys7OVk5OjrKzs5WRkaEyZcooPj6+yK/5K2EK5h4cDoe7VCk/S5cu1eTJk/Xzzz+rcePG+u6775SSkqKUlBRt375dV111lV555RWdeeaZatq0qe677z7Vq1eP8iUgCpWW2OZp+vTpOnjwoD7++GOfmYFbtWpFfANKiNIS31JSUrRp0ya/xz/33HN67rnnJBHfIi7S66ABMGbs2LFGktfX3Llzi/WaLePGjTPJycmmYsWKpl27dubAgQPm6NGjpmXLlub555937zdkyBAzePBgY4wxDzzwgLn77rutthOAfdEY244fP26++uorM2PGDJOYmGgefvjhfPclvgHITzTGt2AQ3yLHYYwx4U3xAQAAosN7772nnj17Kjk5WYMHD9bYsWMj3SQAQClCAg4AAAAAgAVMwgYAAAAAgAUk4AAAAAAAWEACDgAAAACABSTgAAAAAABYQAIOAAAAAIAFJOAAAAAAAFhAAg4AAAAAgAUk4AAAAAAAWEACDgAAAACABSTgAAAAAABYQAIOAAAAAIAFCZFuAOBpz549ysnJiXQzAElSYmKiateuHelmoITYt2+fsrKyIt0MQJJUpkwZnXbaaZFuBkqI/fv3KzMzM9LNACRJCQkJSk5OjnQz8kUCjqgxY8YM3X777ZFuBuAWFxenF198Uf/6178i3RTEuOeee06DBg2KdDMAN4fDoeeee04333xzpJuCGPfKK6+oX79+cjqdkW4K4PbEE0/o//7v/yLdDL8oQUdUeOSRR0i+EXWcTqf63nCD5s2bF+mmIIbNmjWL5BtRxxijW265RU8//XSkm4IYNnfuXN3Qty/JN6LO8OHD9dhjj0W6GX4xAo6ImzJlikaPHi1J+nvtFD12RhvFq4wc8XFSXO6XIz4+t7soLk4Oh0OKj5fiHFKcI+81R+6+DocU7/FvXNzJ1zz3iYvLfV0OKd4hOeLy/j25j/Gzj/E63iHjtX983nUdJ493xMm4ryv3PibOIRMfLzmUe+2885g4j+McDpn4k20xjrzzOvKOzTun06O9rvZlOxwyMso2klNSjpy5/zqNcmTkNEY5xsjk/euUlGOUu11O5RhJea/lvu46RnnHSTk6ebyRlON0us9lnLn7ZCv3X6c5eX2nMTIyynF6nif3vE5j5MxrhzFG2Xn/OqWTbXW10+Rtc+Zd3xjlGGdeW/Kub4yU96+rndnOvPt1OuU0UlbefWQ5jbKUu2+GkbKys5X98vPSzz/pxhtvVGZmpgYOHGj3jwMx7/HHH9cdd9whSbqkRm3NatpOCY68+JYXy4oc3/zFOYdHvHPHtSLEtziHR+wKdXxzyDjiwhLfcrcXPb65YpG/+OZ0xasixjfjuU+I45tTuccFHN9ynMqe/4K0Yb2GDh2qzMxM3XbbbZb/OhDrPCt7LqxWU881b69ER2Lg8c0Vh8IR307ZJ+j4prxnMD/xTY44Gde1ixLfHLn37y++GYdD2cWIb8YdQ0If30ze+Yoa39zX9xPf3O0sYnxzSvrTFd+cTmW/8bK0bq3uvPNOZWZmatSoUfb/QArgMMaYSDcCpZMxRhMmTNC4ceMkSb1Pq6N5LdsqSWXlUEJu0I73TMBzg7FXAI/3fs0V8N2BO94VuE/ZJy7OY79TAnh8/MkA7PU/A48AnndurwTc87ru/wG4HlBzH0ZN/KkPqHmB2yuAx7u3eQVwj+Bs4uPd/+08dZ+4OGV5PaAaZXsE0GyPBNz9r2vfvIc8d3B0fXkl4HmB+tT/AXgk4E6nZwDOOybv+jmnPqAa7/Z4njvbfQ3v9pz6gHry3J7/o5D7+Gz3cScT8GyPAO7MC+CZecf8YXK/z8rMkJ6eLm38UZI0c+ZM3XrrrRH4a0EsmjZtmu655x5J0uW1kjX/L+1UTuVOxrc4zwfUIsQ313Z/8c0Vd4oa3+JOxrCQxzdXvApDfHPK8+89+PjmGS9OjW+uB9SixjfjuU+I45s7vgcT37L+lJ57UvphnSTp4Ycf1l133RWJPxXEoJkzZ7rLe7vXqKU3W3dQRUf54OKbKw6FI765EuyixjfXM5if+CZXgl3U+JZ3jL/4ZhwOZRUjvp1MckMf30ze+Yoa33LjltNvfHMqr71FjG85kv50esS3nCxpztPSt6slSePHj9cDDzwQiT8Vv+Ii3QCUTsYY3X///e7ku09yql5s2VZl4viVRBRJTJKGjJCat5IkDRs2TNOnT49smxATJk+e7E6+r6ydolf/0l5JcfERbhXgoUyiNOg26S/nSJLuvvtuPfjggxFuFGLB448/7k6+e9Q8TW+3Plfl4ymqRRSJT5BuGiq1PVeSNHbsWN1///2KlnFnsh1YZ4zRPffco8mTJ0uSrk+ppxdanqMEkm9Eo8REafBtUsuzJUkjRozQww8/HOFGIVoZYzR27FiNGTNGknTVaXX1Sqt2SiS+IRolJEi33Cq1aS9Juu+++zR+/PioeUhF9HnooYfcH6u5olayXm/dXmXj6VxEFIqPl/oPkjp0lCRNmjRJ9957b1TEN54IYJUxxiuB6V+3gWa3aKN4hyPCLQMKUKaMNPD/pNa5I0UjR450dyABLsYYjR49WhMmTJCUW9kzr+U5VPYgusUnSAOGSO3OkySNGzcuqkaKED0mTpzo/iztP2qnaD6VPYh28fHSDbdI518gKbcD6c4774x4fOOpANY4nU7deuutmjFjhiTpltQ0PdW8teJIvhELEhKkm0+OFI0ZM0Zjx46NeBBHdDDGeJXw/qsOlT2IIaeMFLk+QkF8g3TyY4Ouz9BenVxXL1PZg1gRFyddP0Dq3FXSyY9QRHLmfv5yYIXT6dSgQYPcy50Mrd9QTzT7C8k3YsspI0UTJkzQ6NGjeUgt5Ywxuv322/Xoo49Kkm6s20DPnUVlD2JMXFzuSFHHCyXlTso2YsQI4lspZ4zRvffeq0mTJkmS/pmSqrktqOxBjImLk67tL3W5WFLu8qBDhgyJWBLOXw+scfAwCgBAdCPfxil4fkPJER0BjgQcVsTFxemZZ57R0KFDJUlPbd+i4T+tk5OedcSSnGzphael1Ssk5c6qOXnyZB5OSjmHw6Hp06frzjvvlCTN3bVNA39cqxziG2KJ0ym9NFv6apmk3FnRH3/8ceJbKedwODRlyhTdf//9kqTX9uzUjT98o6wIlu8CQXM6pVfnSZ99LCl3VZtnnnlGcRGq5CABhzVxcXGaOXOmbrvtNknS7J3pGrrhO5JwxIbsbOn5WdLaVZJyZ9McN24cD6eQlPuQ+vDDD+vee++VJL2ye4cGrP9G2TykIhbk5Ehzn5G+/lKSNHr0aD300EPEN0jKjW8TJkxwTzD55t5d6vv9amUS3xALnE7plTnS8qWSclezeeKJJyIa30jAYZXD4dDjjz+uu+++W5I0b9c23fIDI0WIcllZ0nNPSN99I0maNm2aRo8eHeFGIdo4HA5NnjxZY8eOlSS9vnen+q9npAhRLidbeuEpac1KSdL48eM1adIkkm/4uP/++zV16lRJ0nv79+i6dav0pzMnwq0CCpCTI734nLRiuSTpnnvu0aOPPhrx+EYCDuscDoceeughdwLz7z07dCMjRYhWmZnSMzOk9d9JkqZPn+7uQAJO5XA4NG7cOPeERW/t26V/MVKEaJWVJc2eKa1dLUmaMmWKe6ZrwJ977rlHjz32mCRp4YG9uua7VcrIIQlHFMrJluY9K636SlJuB9KDDz4Y8eRbIgFHhDgcDk2aNEnjx4+XJL2xd6duWL+GkSJEl8w/pacflzZ8Lyl31kzXRyiAgowePVrTpk2TJL2/f4+uZaQI0SYrM7eyZ91aSdIjjzzi/ggFUJARI0Zo5syZkqQlB/ep93crdSInO8KtAjxkZ0tznnZX9rg+QhENybckOQzrSyDCpkyZ4h4N/3vtFD12RhvFq4wc8XG5ywbExckRH5/bXRQXl/vHEx8vxTmkOEfea47cfR0OKd7j37i4k6957hMXl/u6HFK8Q3LE5f17ch/jZx/jdbxDxmv/+LzrOk4e74iTcV9X7n1MnEMmPl5yKPfaeecxcR7HORwy8SfbYhx553XkHZt3TqdHe13ty3Y4ZGSUbSSnpBw5c/91GuXIyGmMcoyRyfvXKSnHKHe7nMoxkvJey33ddYzyjpNydPJ4IynH6XSfyzhz98lW7r9Oc/L6TmNkZJTj9DxP7nmdxsiZ1w5jjLLz/nVKJ9vqaqfJ2+bMu74xyjHOvLbkXd8YKe9fVzuznXn363TKaaSsvPvIchplKXffDCNlZWcr++XnpZ9/khwOPffss7rlllvs/nEg5k2fPl0jRoyQJF1So7ZmNW2nBEdefMuLZUWOb/7inMMj3rnjWhHiW5zDI3aFOr45ZBxxYYlvuduLHt9cschffHO64lUR45vx3CfE8c2p3OMCjm85TmXPf0HasF6SNGPGDA0fPtzmnwZKgOeee06DBg2SJF1Yraaea95eiY7EwOObKw6FI76dsk/Q8U15z2B+4psccTKuaxclvjly799ffDMOh7KLEd+MO4aEPr6ZvPMVNb65r+8nvrnbWcT45pT0pyu+OZ3KfuNld+figw8+qFGjRln+6ygYCTiiwiOPPEJZL6KTw6G5L7yg/v37R7oliFGzZs3SsGHDIt0MwK+nnnpKQ4YMiXQzEKPmzp2rmwYMiJLFnQBvjz76qO64445IN8MHCTiixhNPPEF5L6JKXFycXnrpJV1//fWRbgpi3OzZszVo0CDxv1xEC4fDodmzZ+umm26KdFMQ41555RX169dPTj5GiCjy5JNPRm3nNwk4osqePXuUU8BkHnv27FH79u0lSatWrVJKSoqtpsUE3p/CBfMeJSYmqnbt2raahhJu3759ysrKyvd1/n4LxvtTuGDeozJlyui0006z1TSUcPv371dmZma+r/P3Wzjeo4IF8/4kJCQoOTnZVtOClhDpBgCeggk2KSkpSk1NDWNrYhvvT+F4j2BTMMkOv5sF4/0pHO8RbAqms5rfzcLxHhUs1t8fZkEHAAAAAMACEnAAAAAAACwgAQcAAAAAwAIScAAAAAAALCABBwAAAADAAhJwAAAAAAAsIAEHAAAAAMAChzHGRLoRAAAAAACUdIyAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTiizm+//aa+ffuqSpUqqlKlivr27avDhw8XeIwxRuPGjVOdOnVUrlw5denSRT/++KP79V9//VX/93//pzPPPFPly5dX/fr1NXz4cB05ciTMdxMaTz31lE4//XSVLVtW55xzjpYvX17g/suWLdM555yjsmXLqmHDhnrmmWd89nn77bfVvHlzJSUlqXnz5nr33XfD1XwrQv0ezZ49W507d1a1atVUrVo1XXTRRVq1alU4bwGlAPHNF/GtcMQ3xALimy/iW+FKZXwzQJTp0aOHadGihfnqq6/MV199ZVq0aGGuuOKKAo+ZOnWqqVSpknn77bfN+vXrTZ8+fUxKSoo5evSoMcaY9evXm169epkFCxaYTZs2mU8++cQ0adLE9O7d28YtFctrr71mypQpY2bPnm02bNhgbrvtNlOhQgWzbds2v/tv2bLFlC9f3tx2221mw4YNZvbs2aZMmTLmrbfecu/z1Vdfmfj4eDNlyhTz008/mSlTppiEhASzcuVKW7cVUuF4j6677joza9Ys8+2335qffvrJ3HjjjaZKlSpm586dtm4LJRDxzRvxrXDEN8QK4ps34lvhSmt8IwFHVNmwYYOR5BVIVqxYYSSZjRs3+j3G6XSa5ORkM3XqVPe2jIwMU6VKFfPMM8/ke6033njDJCYmmqysrNDdQBi0b9/eDB482Gtb06ZNzahRo/zuP3LkSNO0aVOvbYMGDTLnnnuu+7+vueYa06NHD699Lr30UvPPf/4zRK22Kxzv0amys7NNpUqVzIsvvlj8BqNUIr75Ir4VjviGWEB880V8K1xpjW+UoCOqrFixQlWqVFGHDh3c284991xVqVJFX331ld9jtm7dqr179+qSSy5xb0tKStKFF16Y7zGSdOTIEVWuXFkJCQmhu4EQy8zM1DfffON1b5J0ySWX5HtvK1as8Nn/0ksv1Zo1a5SVlVXgPgW9X9EqXO/RqU6cOKGsrCxVr149NA1HqUN880Z8KxzxDbGC+OaN+Fa40hzfSMARVfbu3avatWv7bK9du7b27t2b7zGSdNppp3ltP+200/I95tChQ5o4caIGDRpUzBaH18GDB5WTkxPUve3du9fv/tnZ2Tp48GCB++R3zmgWrvfoVKNGjVLdunV10UUXhabhKHWIb96Ib4UjviFWEN+8Ed8KV5rjGwk4rBg3bpwcDkeBX2vWrJEkORwOn+ONMX63ezr19fyOOXr0qC6//HI1b95cY8eOLcZd2RPovRW0/6nbgz1ntAvHe+Qybdo0vfrqq3rnnXdUtmzZELQWJQnxrXiIb4UjviFSiG/FQ3wrXGmMb9Fbu4ESZdiwYfrnP/9Z4D5paWn6/vvvtW/fPp/XDhw44NPj5ZKcnCwpt1csJSXFvX3//v0+xxw7dkw9evRQxYoV9e6776pMmTLB3opVNWvWVHx8vE9PoL97c0lOTva7f0JCgmrUqFHgPvmdM5qF6z1yeeSRRzRlyhR9/PHHatWqVWgbjxKB+FY0xLfCEd8QacS3oiG+Fa40xzdGwGFFzZo11bRp0wK/ypYtq/POO09HjhzxWi7g66+/1pEjR3T++ef7Pffpp5+u5ORkffTRR+5tmZmZWrZsmdcxR48e1SWXXKLExEQtWLAgqnrC8pOYmKhzzjnH694k6aOPPsr3/TjvvPN89v/vf/+rtm3buv+Hld8++Z0zmoXrPZKkhx9+WBMnTtTixYvVtm3b0DceJQLxrWiIb4UjviHSiG9FQ3wrXKmOb1anfAMC0KNHD9OqVSuzYsUKs2LFCtOyZUufZSzOPPNM884777j/e+rUqaZKlSrmnXfeMevXrzfXXnut1zIWR48eNR06dDAtW7Y0mzZtMnv27HF/ZWdnW72/YLmWaJgzZ47ZsGGDuf32202FChVMenq6McaYUaNGmb59+7r3dy3RMGLECLNhwwYzZ84cnyUavvzySxMfH2+mTp1qfvrpJzN16tQSsYxFKN+jhx56yCQmJpq33nrL6/fl2LFj1u8PJQfxzRvxrXDEN8QK4ps34lvhSmt8IwFH1Dl06JC5/vrrTaVKlUylSpXM9ddfb3777TevfSSZuXPnuv/b6XSasWPHmuTkZJOUlGQuuOACs379evfrS5cuNZL8fm3dutXOjRXDrFmzTIMGDUxiYqJp06aNWbZsmfu1fv36mQsvvNBr/88++8ycffbZJjEx0aSlpZmnn37a55xvvvmmOfPMM02ZMmVM06ZNzdtvvx3u2wirUL9HDRo08Pv7MnbsWAt3g5KK+OaL+FY44htiAfHNF/GtcKUxvjmMyfvkOgAAAAAACBs+Aw4AAAAAgAUk4AAAAAAAWEACDgAAAACABSTgAAAAAABYQAIOAAAAAIAFJOAAAAAAAFhAAg4AAAAAgAUk4AAAAAAAWEACDgAAAACABSTgAAAAAABYQAIOAAAAAIAFJOAAAAAAAFhAAg4AAAAAgAUJkW4AYlNGRobWr18vSapVq5YSEvhVAvKTnZ2tAwcOSJJatmypsmXLRrhFKAwxDggM8S32EN+AwIUjxvEXhyJZv3692rdvH+lmADFn1apVateuXaSbgUIQ44DgEd9iA/ENKJpQxThK0AEAAAAAsIARcBRJrVq13N+vWrVKKSkpEWwNEN327NnjHm3w/NtB9CLGAYEhvsUe4hsQuHDEOBJwFInn54VSUlKUmpoawdYAsYPP2sUGYhwQPOJbbCC+AUUTqhhHCToAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABYkRLoBQLTauXu3z7b4II53OJ0B7WfifPvBUurUCeJKABC8osS4pzZt8tl2a8OGBR5DjANgG89wiGaMgAMAAAAAYAEj4CjV9vjpIc3J+zeYnlJ//PWKBspfz60/gbbRX0+uwxjfHfO2+du/dlpagFcDEC1CEeP8jXpL0tDGjSVJfiJJoYhxAIqLZ7hTEN9iBiPgAAAAAABYQAIOAAAAAIAFlKCj1PFXsuQp2LKlwibqKE4ZUzR4dtcuSZIj719JGli3rs9+7vt0OE5u8/g+FJJTU0N6PqAkKk6MC2qStbzYF+sxzmV/enqBrxPjgMjjGa5oiG/RpWT8VgEAAAAAEOUYAUepUVivaUECXY6iOHIK30VS8ScWCVZo+z+Lx9/PkOU+gFzBxriiLClWHNEa46IJMQ7wj2e42Ed8O4kRcAAAAAAALCABBwAAAADAAkrQUaJFe8mSFHjZUnG4JtfwvCfX5Bp+15K00JZQ8fwZl9ZSJpRexYlxtsRKjHM4T+5n4or+4RtiHBAaPMPlIr6VPIyAAwAAAABgAQk4AAAAAAAWUIIOnCLQsiVX2U9h6yR6lQzFyHqSz3qs+e26u0EpJ0uDilK0buPed+aVMqWWojImIFj+YpzDTxwryTHOk2dpZnEQ44DI4xnOG/EtOsXebxIAAAAAADGIEXCUSMFO3BFsj2l+2wrrSS2OaFo70tWj6m8ij1C9B/4mNvH3HtiYAAWINsWJcbO2bPF5fejpp+fuR4yTRIwDIolnuPAivkUeI+AAAAAAAFhAAg4AAAAAgAWUoKPE2Ltz58n/CHCyCFvrRBbEVZKT42dbqHlOohHovce5ypE8S7f8lSiFsWwpkNc87fQoXysNk3mgdCDGFa4oMe7kwcQ4IFKIb4UjvpUcjIADAAAAAGABI+AokVw9g6FaNsHfxB2BCrQNxekxtdHzWhTRsGSHazKXlBLai4rSKRQxznPpsVId4yzcezgR41DS8AwXQsS3qBT5dxYAAAAAgFKABBwAAAAAAAsoQUfM85q4IwDFWS8yFrhKmUJVxuSqUnWYk++bcffdhW/NTE9O5f+ziLPUBiBSQh3jHGFc69aGUMc4F2IcYB/PcN6Ib6UDI+AAAAAAAFjACDhiUqA9pkVZoiLYXlMTpaNJoZrUw7UMmdd7mdd1Zzz68FzvQ1Em7Qh0aYri2OOxrEVJm8wDJU84Y1ywSnqMc40MEeMAO3iGKxzxzVtJi2+MgAMAAAAAYAEJOAAAAAAAFlCCDpQCBU3q4Vl+5fpuUN267m3z9u6RJL10+Df3thuqVgtxC30VNGlHfvv5m8wjXBOaALHkqa1bfbbdmpZmvyFhEmyM894h95+47JOFlE4LT0fEOACBIL6VvPjGCDgAAAAAABYwAo6YEuxyFYEqynIVhU3cUZSJLE5V2MQWxekRdLWvsElOXD2SZeJP3o8jx+l1Ds/vQzVxSKjZmCQEKK5wxThPcQHOOVRaYpzDmdsKR3b2yW1+JiQixgHFwzOcN+Jb4EpafGMEHAAAAAAAC0jAAQAAAACwgBJ0IIRCUbIkBV5qE2xJjr/SIq82u0qZPLbdkJwsSartMWHTvu3bc7/xKOHy15bCSpn8HeNv4g5/1WX+qsdcx/qbyMOTaz3JkrCWJGBTSYxxOUlJkqQaZ57p3kaMA0of4lvh18vvdXcTiG8BYQQcAAAAAAALGAFH1AvnpERFmbgjFvnrVfS3tIO/3l9/25wJCV7nyO8ankI9gYbrR1fIPCp+lbTJPBDbbMS4QCdei1XEOG/EOEQLnuGKj/jmrSTEt7CPgE+YMEHNmzeXs5BZ+opqzpw5qlu3ro4fPx6W8xfXvHnz5HA4lJ6eXuA2AAAAAEDJFtYEfPfu3Zo2bZomTJiguBB9ruJU/fr1U4UKFTRt2rSwnD8cLr/8cq1YsUIpKSmRbgoAAAAAwJKwlqDPmDFDVatWVa9evcJ2jYSEBA0aNEgTJ07UPffco/Lly4ftWqFSq1Yt1apVK9LNKLVCXbJke9KOQPmbCMNzm6vMyO91Pe7J33kyjG9FS3xeHZG/a9gWDW0AIsUzxs3Kq7TyLEEf0iAtqPMR43IR44DI4xkuF/EttoVtBDwzM1Nz5szRdddd5x79zsjI0Nlnn63GjRvryJEj7n337t2r5ORkdenSRTk5OVq+fLkcDodeffVVn/O+9NJLcjgcWr16tXvb9ddfr6NHj+q1114L1+3k68CBAxo4cKDq1aunpKQk1apVSx07dtTHH3+c7zH5laBv3LhR1157rU477TQlJSWpfv36uuGGG/Tnn3+69/nll1903XXXqXbt2kpKSlKzZs00a9ascN0eAAAAACBEwjYC/vXXX+vQoUPq2rWre1vZsmX1xhtv6JxzztGAAQP09ttvy+l06vrrr5cxRq+++qri4+PVuXNnnX322Zo1a5auvfZar/POnDlT7dq1U7t27dzbkpOT1bRpUy1atEgDBgwI1y351bdvX61du1aTJ0/WGWecocOHD2vt2rU6dOhQUOdZt26dOnXqpJo1a2rChAlq0qSJ9uzZowULFigzM1NJSUnasGGDzj//fNWvX1+PPvqokpOTtWTJEg0fPlwHDx7U2LFjw3SXcDFFmS3CMn+9ncHK8ehh9ne+zLzeU8+eSdf3nm9RcXoxA+3k9twv2GUtduYtZSFJqTG8nAWQn2AnXyPG5SLGASUP8S0X8S3ywpaAr1ixQpLUpk0br+1NmjTR888/rz59+mjGjBn69ddf9dlnn2nx4sVen4kePny4brzxRn333Xdq3bq1JGn16tVavXq1XnzxRZ/rtWnTxmfUefbs2XriiSe0ZcsW1ahRQ127dtX48eOVlpamo0ePqlmzZpozZ4569OghSfrf//6nDh066JtvvlGjRo2UlpamV155RZ06dcr3Pr/88kvdfPPNuuWWW9zbrrzyyuDeLEl33HGHEhIStGrVKq/y9Ouvv95rn0qVKumLL75Q5cqVJUkXX3yx/vzzT02dOlXDhw9XtWrVgr42AAAAACD8wlaCvnv3bjkcDtWsWdPntWuuuUZDhgzR3XffrUmTJum+++7TxRdf7LXPtddeq9q1a3uVVz/55JOqVauW+vTp43PO2rVra//+/crOzpYkTZo0SQ888IAeeughHTp0SBs2bFDHjh316aefSpIqV66sJ554QkOGDNGJEydkjNHAgQM1cuRINWrUKOD7bN++vebNm6dJkyZp5cqVysrKCvhYlxMnTmjZsmW65ppr8v1seEZGhj755BP17NlT5cuXV3Z2tvvrsssuU0ZGhlauXBn0tQEAAAAAdoRtBPyPP/5QmTJlFB8f7/f1AQMG6Omnn1ZiYqKGDx/u83pSUpIGDRqkRx99VA8//LCysrL0xhtv6I477lBSUpLP/mXLlpUxRhkZGcrOztaUKVM0f/58XXbZZe59Bg4c6HVM79699eKLL2rs2LE688wzdejQId19991B3efrr7+uSZMm6fnnn9f999+vihUrqmfPnpo2bZqSk5MDOsdvv/2mnJwcpaam5rvPoUOHlJ2drSeffFJPPvmk330OHjwYVNuj3b4dO3K/CVHJUEleL7IoJUsFHeP52vGc3Ck+Vm7d7N6WmPczqZCQ4HNMnDn584qmaq/SMKkHYgsxLnChjnH1liw9uV9SoiRp5fnnuLcR44DiIb4FzsYzXNZb77m3NcpbGnrz+W19jiG+2RG2BLxmzZrKzMzU8ePHVaFCBa/Xjh8/rr59++qMM87Qvn37dPPNN+v999/3OceQIUM0depUvfDCC+7EevDgwX6v9+uvvyopKUkVK1bUhx9+qMzMTF1xxRWFtnPWrFlq1aqVJGnRokUqU6ZM0Pc5ffp0TZ8+Xdu3b9eCBQs0atQo7d+/X4sXLw7oHNWrV1d8fLx27tyZ7z7VqlVTfHy8+vbtq1tvvdXvPqeffnpQbQcAAAAA2BO2BLxp06aSpM2bN7sTXJfBgwdr+/btWrVqlTZu3KirrrpKjz/+uEaMGOG1X0pKiq6++mo99dRTyszM1N/+9jfVr1/f7/W2bNmi5s2bS8odLa5Zs6YSEgq/vTp16ig1NVUnTpzQueeeW5Rbdatfv76GDRumTz75RF9++WXAx5UrV04XXnih3nzzTU2ePNlv2X758uXVtWtXffvtt2rVqpUSExOL1dZYUJzJMmz0lEZq6YpQTNCRH9fb5jmBh+unkOjx84iLULdoYT2grmZHU68tkB9inH/hjHGpH34iSTJxJ6vz/te5gyQp0XmypcQ4oHiIb/5F6hlufduTuVirFWslSY2XfuXetr1b/vNdhQrx7aSwfQa8S5cukuTzueTnn39er7zyimbNmqWzzjpLvXv31rBhw3TPPfdo1apVPue57bbbtHnzZu3YsUPDhg3zey2n06lVq1a5Z1yvUaOGDh486P48eEFmzJihypUrq1q1apo5c2ZQ93jkyBG1adNGjzzyiBYuXKhly5bpkUce0eLFi30+016Yxx57TFlZWerQoYNmz56tpUuX6rXXXtN1112nY8eOudu6fft2de7cWfPmzdNnn32mDz74QI8//ri6desW1PUAAAAAAHaFbQS8Xr166ty5s95//333Z6/Xr1+v4cOHq1+/furfv79730ceeUQrVqxQnz599O2336pq1aru19q3b6+0tDSVK1dO3bt393utzz77TEeOHHHPGH7eeeepTJky+uCDD9SzZ89827ht2zZNmjRJy5cvV0ZGhi666CL17t1bdevWDegey5Ytqw4dOujll19Wenq6srKyVL9+fd1zzz0aOXJkQOdw+ctf/qJVq1Zp7Nixuvfee3Xs2DElJyerW7du7tHu5s2ba+3atZo4caLGjBmj/fv3q2rVqmrSpInXZ90BAAAAANEnbAm4lDt63adPH+3atUt169ZVy5YtdeLECZ/9kpKStGbNGr/n+P7775Wenu41G/qp5s6dq/PPP9+95FnVqlU1evRoDR06VGXLllW3bt2Uk5Oj+fPnKy4uzr1W+NChQzV06FCdddZZkqR+/frptttu01tvvRXQ/SUlJenpp58ucJ/+/ft7dTbkt02SmjVrpjfeeKPA86WlpWnOnDkBta+0CbhkqbD9/NS+xMLakeHiWkc4Mc53QkWnx3uZ45rAw9J7VdDakP5+xKX4R4gSItAY9/S2dJ9tQ+o3KPCYkhzjXGXnkiRHbuHf1osvcG+Ky1sTlxgHRA7PcOHh9xnOz3voKlsnvtkRthJ0SerVq5fatWunBx98MOhjN2/erE8//VQDBw5USkqK34TVtd/rr7+uhx56yGv7mDFjNH78eI0cOVLVqlXTmWeeqeXLl7tH0V9//XX9/PPPGjNmjPuYSZMm6euvv9bChQuDbi8AAAAAAAUJ6wi4w+HQ7NmztWDBAjmdTsUFMeHBxIkT9fLLL6tZs2Z68803Vb58eb/7bd++XTNnzlSnTr6TBwwcONBn6TGXPn36+KwnXrFiRe1wLZsgKT09PeD2IkrFwLIV/hbq8zeph7+JOwq6vVD1Frp6Q51+LhaqntJwTkoSDdcDwoYYV2zEOCBKEd+KzW98C/H7SnwLXlgTcElq0aKFWrRoEfRx8+bN07x58wrdr2vXru7J1wAAAAAAiFZhLUEHAAAAAAC5wj4CDoSb34k7wlS2FKp1I4vVhjBW3hRU1hMX4xNgeL5vJW0yD5RswcY4h8ekNibIUr2SFONSF32c+41H8Np2aZd8L0KMA+zjGS50An2Gc7/nTmf4GhNiJS2+Rf43EQAAAACAUoARcMSkgJer8Dwmr6cv0B7QaFi2wsZEE4W9le4lIjzeDn+TFRXG35IT4bo/f+f1t9QFEK2KE+MCVeJjXIBD2sQ4wC6e4UKnKM9wRRmGJ76FFiPgAAAAAABYQAIOAAAAAIAFlKCj5PBTUuOvJNNzWzRMyBEofxVD/kqCbHCtK+l53fgAy71CXbJUlPPFwNKigK8AY5zX6zFUtheKGOeeeE1yl6Dv6NHd8yoBnYcYB1jGM5w9ft5X4ptdsfObCwAAAABADGMEHLGvCKNCkeavfYH25PrrLfTc5upJDfWSDf56aMPRZ1tQz6a/NgTae+rvPQJiAjGu0BhXb/EneS+e/Nve+de8ke8AR0uIcUAEEN+sP8Nt6d5ZktTwk+XubfX/u0yStPOSLsW6DvEtMIyAAwAAAABgAQk4AAAAAAAWUIKOUi3QdSVjaaIPSDl+aqA8JxixsTYnEClxnr/rAc5WE4sxzl127sFddl7CEeMAnuGKzXkyThRlbfZwKQ3xjd9IAAAAAAAsYAQcMcl49IS5eu2ifdKOaFOczk7Xu+/ZI1mUSTGiqMMViCrEuOIjxgGRk7JwqSRpTPMG7m23NmwoifgWCsWJLQ0/+txn245Lu1ptQ2nHCDgAAAAAABaQgAMAAAAAYAEl6IhayampkqS9O3dGuCXRyzVRRXwhi0SGohQz4P0LOSCaSpb8TfQB2GIjxsWFYgHZCPIX4+otWeqz344ewa357YkYB4SeGdxXEs9wBYn0M5y/ideIb3YwAg4AAAAAgAWMgCMmRdNyCba4ll0IdY9fUZZzcPXWFmVSoqK0oaDreL4W7L00Tq0X1P6ALcS40J83GMQ4IPRmbdkiSXJ4DLPe2qBBfruXKNEU30KN+BY8RsABAAAAALCABBwAAAAAAAsoQUfUc01UJEn7duzwed3f2pEOZ24Zi4krevmgiSu4f6qwNSsLOz6gNvipxgm0QMffRBqFVT4VVBpV2CQhRZnrKdByI9d+xSkH9by3WC5bQslDjDtlm5/96v93mc+2nX/t7v7e9S4Q43IR4xAtPOPbsLzf0ae3pbu3PbN9uyRpiMd+pS2++RPOZzj3R5zMyfeA+GYXI+AAAAAAAFjACDhiymn1cnu99qen+7zm6jEtCs+e0NppaUU+T6A822/jeqGwbdcun23+ekzz6+EsqKe0sElJ/I1MuTZ5Huq69ukePelALCHG5ePG63021S/+Wb0Q44DwcsW3Gf85WdFyR4vTJZXy+GaBV3wz+Y/+E9/sYAQcAAAAAAALSMABAAAAALCAEnTEpFgp+clPLLa/Qd26kW4CUGoUJ0bcHwXxhRgHID+/DfpXpJtQLDEf3266wef1UH+kBwVjBBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALEiLdAMSm7Oxs9/d79uyJYEuA6Of5N+L5t4PoRYwDAkN8iz3ENyBw4YhxJOAokgMHDri/b9++fQRbAsSWAwcOKC0tLdLNQCGIcUDwiG+xgfgGFE2oYhwl6CiSjIyMSDcBiEn87cQGfk5A8Pi7iQ38nICiCdXfDgk4AAAAAAAWkICjSMqWLRvpJgAxib+d2MDPCQgefzexgZ8TUDSh+tvhM+Aoklq1arm/X7VqlVJSUiLYGiC67dmzx/05O8+/HUQvYhwQGOJb7CG+AYELR4wjAUeRJCSc/NVJSUlRampqBFsDxA7Pvx1EL2IcEDziW2wgvgFFE6oYRwk6AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYEFCpBsAIH87d+8OaD+nTED7xcnhsy21Tp2g2gQAoVJYjKuz6CPfYy6/KN/9iXEAogXPcMgPI+AAAAAAAFhAAg4AAAAAgAWUoANRYvvuXT7b/JUbBVqqFKhAS6QKQxkUgIIUJca5ys1TF33s3ub6vqBSdE/EOADhxjMcgsEIOAAAAAAAFjACDkSAvx5Lfz2l/gS6nw3xHt/vKaQXNoXeVaDUCHWM2335xe7vXROzeY6Ke74eSsQ4AKfiGQ7FxQg4AAAAAAAWkIADAAAAAGABJeiARaGaLCPS4gvfxYe/8iZKmoCSxUaMc5Wbe64R7vo+VKXoxDgAp+IZzhvxregYAQcAAAAAwAJGwIEwKyk9pp5y8v4tSi+qJ1ePKr2oQOyKVIwrbLS7zsKPfLbtviKwEfJAY9xTmzb5bBvauLH7e2IcENt4hssf8a3oGAEHAAAAAMACEnAAAAAAACygBB0Ik5JYthQunpN7UMoExIZoj3GBlpsXh2e5eUGIcUBsifb4Fk2Ib8FjBBwAAAAAAAsYAQdCaPvuXT7b4uSIQEvsyPH4vriTebgwqQcQvYhxxUeMA6IT8a34iG+BYQQcAAAAAAALSMABAAAAALCAEnQghEpyqVJhcvxsK05Jk+cEKKmUMgFRgRjnjRgHlBzEN2/Et/BhBBwAAAAAAAsYAQeKqSQuVVGUXk9/vafFmeAjVBOCACgeYlwuYhxQ8hDfchHf7GIEHAAAAAAAC0jAAQAAAACwgBJ0oIhc60WWpEk7ilMyRLkRULIQ40J3LIDoQnwL3bEIHiPgAAAAAABYwAg4EARXj6lUcnpNbfd6FmWpiz15k6SksJQFEFbEuOIjxgHRifhWfMS30GAEHAAAAAAAC0jAAQAAAACwgBJ0IAAFTdbhWXrjrzQnUP5KeIpzvlArznqQpx4f6nMDKB5iHDEOKKmIb8S3aMMIOAAAAAAAFjACDgSgsF7TYEVDD2E0tCFYrok8JCbzAEKJGBcdiHFA6BHfogPx7SRGwAEAAAAAsIAEHAAAAAAACyhBB/Kx06NUpqBSn8Im2YimMqFoaguAyCLGASipiG+IZoyAAwAAAABgASPgwClcvabF7WksaT2VoXo/Cuttdr1e2PVck3mU9ok8gGAR4/wjxgGxj/jmH/EtujACDgAAAACABSTgAAAAAABYQAk6IO/JOoojWkuWorVdBfEsc4rF9gPRhBgXfYhxQGgQ36IP8a1gjIADAAAAAGABI+CAitc7V9ixDqfTZ5uJK719X57vV2GTeZy6n7/3eo9Hz3dpncwDKAwxzh5iHGAX8c0e4ltolN7fIAAAAAAALCIBBwAAAADAAkrQUartCdHEHf74K1sKVKBlPQUpSklWcUqt/B07a8sWn21DGzcu8Dx1Fn7ks233FRdLYlIPIFjEOG+hjnGhLkUlxgGBI755I77FDkbAAQAAAACwgAQcAAAAAAALKEFHqROtJUuBcsr4bIuTI+jzBNpW136epUiBlpvf2rCh+/tAS5lc5eZF4frZlqaZNIFTEeNyhTrGFXYNGzMjE+NQ2hHfchHfYhsj4AAAAAAAWMAIOEqNcPWahqrHtLBJO0LRa1qctnoeW9hotw0FrSsJlEbEuNDFuGhAjANOIr4R30oSRsABAAAAALCABBwAAAAAAAsoQUeJFuqSpeKW8AQ7iYW/kqXChKuc56mtW93fOxy5ZVNDTz+9WOd0tbU4a2ayriRKM2JcdCPGAUVHfItuxLeiYwQcAAAAAAALGAFHqeOvB7SwXs1wTl4RbM9hUZarKIjDFNxDOys93WfbrWlpud94HGscBbfL31IYoeZ6L3d69JqnloLlLABPxDhvhcW4QBHjgMgjvnkjvsUmRsABAAAAALCABBwAAAAAAAsoQUeJVJyJO4ItVXIEUYbtUpwJK6KV630I9D0IRkETmYS6nAuIBcQ4+4hxgB3EN/uIb3YxAg4AAAAAgAWMgKPEKKzHtKBe0UB7TIsy2UWoJqwItJfQ1TNbnOUcnt6WfvK6eZcdUr/ByR38vQ+F9JqGa+IOz55Vf++RazKPkjqRB0oPYlyuUMQ4vwq7d2IcEDbEt1zEN28lNb4xAg4AAAAAgAUk4AAAAAAAWEAJOmLe3p07JSnk0ziEam3F4oiGySkcQbahKBOa+FPQpB2FHRMN7xsQKo5nXpYkjWl+8mMgtzZsWPzzluYYV4x7J8YBocMzXBgQ36IeI+AAAAAAAFjACDhwimjoNQ0Fz2UyXJN5eE6i4XfSkrx79xz1jsvrAS1skhPXucM1UUcw/E3qsdNjgpeSNpkHSrY9V3T12TZryxafbYGOihPjvAU6gRMxDoh+xDdvxLfoFPl3GQAAAACAUoAEHAAAAAAACyhBR0xyTdoRKiWlZClUhqSmur9/btcuSdLzHuU/t5yWLEky8QX34YWqlKmgH08x5ggBolZhMc5fuXlBZenEOG+eZZkOZ9574+c9IsYBocczXHgR36IfI+AAAAAAAFjACDhiSjT2mhZnmQZbXJN5xHtsc/dsevaU+jk2Pi53axnHyf66uJzs3PPGJ57cMe99sD2Bh+ePMNAfhWsyj5IwkQdKluLEONdot+dI+FNbt+a+lpZW5POW9BjnCiJx2Vknt+XdMzEOCB2e4YqG+OatJMQ3K+/yhAkT1Lx5czkDnIkvGHPmzFHdunV1/PjxkJ87FObNmyeHw6H09PQCtwEAAAAASrawJ+C7d+/WtGnTNGHCBMWFoVelX79+qlChgqZNmxbyc4fL5ZdfrhUrViglJSXSTQEAAAAAWBL2EvQZM2aoatWq6tWrV1jOn5CQoEGDBmnixIm65557VL58+bBcJ5Rq1aqlWrVqRboZMWPfjh0n/yOKSoUKK1uK9FqK/tZRLGxdSXcpU/zJQqebUnJLfGp7lLAe2LLV51hn3jGe1/AnvpDXQ831PsT5L84CIi7UMc5zgjZXCfrT29Ld24Y0SAvoPKUlxrnUaHSm+3tiHBAaPMMVDfEtV0mNb2H97crMzNScOXN03XXXuUe/MzIydPbZZ6tx48Y6cuSIe9+9e/cqOTlZXbp0UU5O7o/f4XDk++VZvn399dfr6NGjeu2118J5O34dOHBAAwcOVL169ZSUlKRatWqpY8eO+vjjj/M9Jr8S9I0bN+raa6/VaaedpqSkJNWvX1833HCD/vzzT/c+v/zyi6677jrVrl1bSUlJatasmWbNmhWu2wMAAAAAhEhYR8C//vprHTp0SF27dnVvK1u2rN544w2dc845GjBggN5++205nU5df/31Msbo1VdfVXxeL8yKFSu8zvfHH3+ob9++ysnJUfXq1d3bk5OT1bRpUy1atEgDBgwI5y356Nu3r9auXavJkyfrjDPO0OHDh7V27VodOnQoqPOsW7dOnTp1Us2aNTVhwgQ1adJEe/bs0YIFC5SZmamkpCRt2LBB559/vurXr69HH31UycnJWrJkiYYPH66DBw9q7NixYbrLyAr1BBnFmbQj2ntMJe9e01O3efYg+u3l9NN+p59lKo4k5oaOeI/3I97Pdf31WBbWu+qv/eGy02NptViezAOxLZwxLi7IUxPjchHjgNDgGS44xLfAxXJ8C2sC7kqg27Rp47W9SZMmev7559WnTx/NmDFDv/76qz777DMtXrzY63PR5557rvv7nJwc9e7dW0eOHNGyZctUuXJlr3O2adPGZ9R59uzZeuKJJ7RlyxbVqFFDXbt21fjx41W9enU1a9ZMc+bMUY8ePSRJ//vf/9ShQwd98803atSokdLS0vTKK6+oU6dOBd7jl19+qZtvvlm33HKLe9uVV14ZxLuU64477lBCQoJWrVrlVZ5+/fXXe+1TqVIlffHFF+77v/jii/Xnn39q6tSpGj58uKpVqxb0tQEAAAAA4RfWrp7du3fL4XCoZs2aPq9dc801GjJkiO6++25NmjRJ9913ny6++OJ8zzVs2DAtWrRIb775pk9CL0m1a9fW/v37lZ2duzzSpEmT9MADD+ihhx7SoUOHtGHDBnXs2FGffvqpKleurCeeeEJDhgzRiRMnZIzRwIEDNXLkSDVq1Cioe2zfvr3mzZunSZMmaeXKlcrKyir8oFOcOHFCy5Yt0zXXXJPvZ8MzMjL0ySefqGfPnipfvryys7PdX5dddpkyMjK0cuXKoK8NAAAAALAjrCPgf/zxh8qUKeMuKT/VgAED9PTTTysxMVHDhw/P9zyTJk3SM8884zVifaqyZcvKGKOMjAxlZ2drypQpmj9/vi677DL3PgMHDnR/37t3b7344osaO3aszjzzTB06dEh333130Pf4+uuva9KkSXr++ed1//33q2LFiurZs6emTZum5OTkgM7x22+/KScnR6mpqfnuc+jQIWVnZ+vJJ5/Uk08+6XefgwcPBt3+aOaeuCNE5UuhWC/Sn6KULPn7iyisrKcggZb8BLpfjsd7dTxvToaVWze7tyXm/UwqJJwMIYl5/XmeJUtOh+8kIoEK9Y/L34QmQCQR4wIX6hiXunjpyWOSctfCXXn+Oe5txDigeIhvgbPxDJf11nvubWl5k7VtPr+texvxza6wJuA1a9ZUZmamjh8/rgoVKni9dvz4cfXt21dnnHGG9u3bp5tvvlnvv/++zznmzZun+++/X+PGjSvw892//vqrkpKSVLFiRX344YfKzMzUFVdcUWD7Zs2apVatWkmSFi1apDJlyhTpHqdPn67p06dr+/btWrBggUaNGqX9+/dr8eLFAZ2jevXqio+P186dO/Pdp1q1aoqPj1ffvn116623+t3n9NNPD7r9AAAAAAA7wpqAN23aVJK0efNmd6LrMnjwYG3fvl2rVq3Sxo0bddVVV+nxxx/XiBEj3PssXrxYt9xyiwYMGFDoBGNbtmxR8+bNJeWOFtesWVMJCQXfXp06dZSamqoTJ054fd68qOrXr69hw4bpk08+0ZdffhnwceXKldOFF16oN998U5MnT/Zbsl++fHl17dpV3377rVq1aqXExMRitzfahWLijkJ7TP297ue6/toSqck6wjnBhevt8Ow9jc+79XIelSzx/ibmyDsmrgg/N5uTdgDRwkqMC1BJjnGpizzmh8mblW7LpScnh80yuaNB5TzjHjEOKBae4fyL1DPchvat3dvO+mK1JKnxJ1+4t23t3lkS8c2WsCbgXbp0kSStXLnSKwF//vnn9corr2ju3Lk666yzdNZZZ2nYsGG655571LFjR7Vv315bt27V1VdfrYYNG+rGG2/0+Xzz2WefraSkJEmS0+nUqlWrdNNNN0mSatSooYMHDyo7O7vAJHzGjBmqXLmykpKSNHPmzALL4P05cuSIunbtquuuu05NmzZVpUqVtHr1ai1evDjodc8fe+wxderUSR06dNCoUaPUuHFj7du3TwsWLNCzzz6rSpUqacaMGerUqZM6d+6sIUOGKC0tTceOHdOmTZv0wQcf6NNPPw3qmgAAAAAAe8KagNerV0+dO3fW+++/7/789fr16zV8+HD169dP/fv3d+/7yCOPaMWKFerTp4++/fZbbdu2Tb///rt+/vlnde7c2efcW7duVVpamiTps88+05EjR9wzhp933nkqU6aMPvjgA/Xs2dNv27Zt26ZJkyZp+fLlysjI0EUXXaTevXurbt26Ad9f2bJl1aFDB7388stKT09XVlaW6tevr3vuuUcjR44M+DyS9Je//EWrVq3S2LFjde+99+rYsWNKTk5Wt27d3KPdzZs319q1azVx4kSNGTNG+/fvV9WqVdWkSROvz7oDAAAAAKJPWBNwSbrtttvUp08f7dq1S3Xr1lXLli114sQJn/2SkpK0Zs0a93936dJFJsDSurlz5+r88893z45etWpVjR49WkOHDlXZsmXVrVs35eTkaP78+YqLi9OAAQM0dOhQDR06VGeddZYkqV+/frrtttv01ltvBXxvSUlJevrppwvcp3///l4dDfltk6RmzZrpjTfeKPB8aWlpmjNnTsBtLGn8lQw58iaT8NpW0O9OmCbyKC7PST38TeYRqRIfVzlSyf/QAxB5xLjQcZeeeyyGvqNH99xvzMn3lBgH2EF8s89ffPP3nsOusH8AolevXmrXrp0efPDBsJx/8+bNev311/XQQw95bR8zZozGjx+vkSNHqlq1ajrzzDO1fPlyde/eXa+//rp+/vlnjRkzxr3/pEmT9PXXX2vhwoVhaScAAAAAoHQL+wi4w+HQ7NmztWDBAjmdTsWFeNKD7du3a+bMmerUqZPPawMHDvRaesylQYMG6tOnj9e2ihUraodryQRJ6enpIW0nokAIek1tT9rhr8c0wDlHiiXe44Tu6/m5hudSEPEhmrgjXJ3bJWHZCqBAxDjvCdfy7Pxrd4+T5/5DjANiDPEtYIXFt01dzpPkPQnb6R99LknaeUmXgK9DfCu6sCfgktSiRQu1aNEiLOfu2rWrunbtWviOAAAAAABEUGTm4AcAAAAAoJSxMgIOFEek1moMxRqWkv/JLopyT4HOSRLqUibX6UJV/hPqiUhCfb+AbcS4vGOKEeP8lp5fflFA1yXGAeFDfMs7hmc4v0prfGMEHAAAAAAACxgBR4lR4LIVhR5cOrrgPHtAg+3FLO47VND1ivKjKyU/MsCtWDGuBPI36r378os9/osYB8QKnuEKF+pnuK3dO7u/b/jfZZKkeos/cW/znMCS+BZajIADAAAAAGABCTgAAAAAABZQgo6oVdAkF/4mxQinoky4EWwbc4K+QuCKM/mGaz3JHD81Rp5rTUb7Go3+yqfq16kbgZYAuWzEuCH1G0iSnt6+zb1tVnq6JGno6acH1Jb8RCrGFV56HhxiHBB6PMOFjo1nuB2X5i7p7FmC7hlrA53UMlxKWnxjBBwAAAAAAAsYAUfp4erpC+NERqHq1Q16co0AO0cDPa+/iT7iA7xIOCfWKO2TdgAFIsYR44CSivhmJb55TrzmqThLPboQ305iBBwAAAAAAAtIwAEAAAAAsIASdJQ+hdTAmBDXyHiubenv3MWZuKOgphZnvUh/5/E8R6gmI2JZYyAM/ASGIQ3S3N+7JmGbtWWLe9vQxo2LfrkIxThPxDiglOAZLiihim+ucvPUDz0macv7fkcP/2XryB8j4AAAAAAAWMAIOKJWSp06kqQ9u3dHuCVF4wjT0EdhnbvhWiqnsPNGamKiovQSx/LSFSg5IhXjXMuPeY6AP7VpU+5rQYyERyrGhQsxDggdnuHyOW+MP8N5TtLmGgGvt2Spe5trObNAz11a4xsj4AAAAAAAWEACDgAAAACABZSgAyp80g7X2pAmLnJ9VoGW8ATKVV3leV5/1yioCqsoJZmhquryd8/+JhtxKQklS0BR+YtxtzZs6LNtVl4puqfiTNAWDH/xxN/as7svv9jP0b5/88Q4oHTgGS7/axDfohMj4AAAAAAAWMAIOEq1YJercPWiSqHvSS3KMhMF9ZoWZ9kKT6GaeCjYXlN/1w3X5CRASRVsjPMcFXdN0vaUx6i4v1HzQAUakwId9SbGAaUbz3CFC2t8c+T/HhLfCsYIOAAAAAAAFpCAAwAAAABgASXoiHqutSSlk+tJepYOuSfX8Kh3KWj9xmBLlvLjWcpUkFBdr7QIxdvlWeaU6vH7A0SjaI1xrnJzz/XCPb8flreeeKiu51pT1pP/CddiGzEOpUm0xjee4ULA+L6HxLfAMAIOAAAAAIAFjIADYeKv19TGEhiBTtxhu1PXdb2iLGER7MQdJbXHFIg0h0fgCHmMcwYWHIhxxDgg3HiG8389f5VKO3p0P7mfn2OJb74YAQcAAAAAwAIScAAAAAAALKAEHTHFNZmHayIP6WRJkNf6jnm1MgVN5BFJOSE+X6jWi7QhnGVT8eE7NWBFaYtx/tb83nn5Re7vXaMExLhcxDjEstIW3wIVS/HNn1DFvNIU3xgBBwAAAADAAhJwAAAAAAAsoAQdJUZh60pGSqCzZnrOEhloOVKsly0VJNBZMz1LllJKwcyZKL0iFeO8Zj73UxJalBhXZ9FHPq97lp67EOOIcSgdeIaLEQGuVkF8Kxgj4AAAAAAAWMAIOEokf5N6xBJ/PYcx2VMaRq5e09LUYwq42IxxQ08/3f39rC1bfL4f2rhxQOfxN+q9+/KLPf6LGOeJGIfSime4kq+0xzdGwAEAAAAAsIAEHAAAAAAACyhBR0zyLFnxXE/yVP4m9bDF38QdoV47MhYFOjGHP6V1sg6UPtEa425t2ND9vasEfdamTe5tg/PK0ess9FNufsXFPttKImIcULBojW/5XdulND/DpS762Geb6yNEgY7mEt9OYgQcAAAAAAALGAFHqRENk3q4ev9KYy9qcUaFXEp7jylQENsxrqDJ10rLaLcnYhwQPjzD2VfQqHdREN9OYgQcAAAAAAALSMABAAAAALCAEnTEPFdJS0ETeXiK5KQexeEqbywta0nGF74LUCoQ40omYhxAfIs2/srOpeBLz4lvBWMEHAAAAAAACxgBR4nmb6IMz165aJjUoyQryqRE/npNmbgD8I8YF1nEOCB8iG/2pH74ic+2oky4RnwLDCPgAAAAAABYQAIOAAAAAIAFlKCjxPAscdkZ4GQeLqGa1MPzPAXxLNEpLetJFoSSJaBwxLjYRYwDCkZ8s8+r7NyZOznczssvcm8KdJSW+BY8RsABAAAAALCAEXCUSKl5PW/+elE9eyv99dr56wEtqEc10B5T+KLXFCgaYlxsIMYBwSO+hZd75Nt5ckk0z5HvQBHfiq70/dYBAAAAABABJOAAAAAAAFhACTpKtNRCJvVwlTL5K6PxVBpLlIqqKOviUrIEFA0xzj5iHGAH8S10CptwzYX4Zge/kQAAAAAAWMAIOEqNVD89dK4e1cIm9UDh6DUFIosYF17EOCByiG/hRXyzixFwAAAAAAAsIAEHAAAAAMACStBRqvkradrjZ6KPUMspfBcfTpnCd7KsKCVL/t5zAOFBjCseYhwQvYhvhStozW/iW+QwAg4AAAAAgAWMgAOniIZJJVwTi0TjiFAw6CkFog8xLnSIcUB0Ib6dsuRYHn9LjhV6nih4L0sqRsABAAAAALCABBwAAAAAAAsoQQeiUKTKfrbt2iVJcgQ4LwflSQCKghgHoKSKVNz489Keud9c09O9bedfu+e7P/EtchgBBwAAAADAAkbAAbg1qFs30k0AgLAhxgEoqZKWvOuzrX4E2oHCMQIOAAAAAIAFJOAAAAAAAFhAAg4AAAAAgAUk4AAAAAAAWEACDgAAAACABSTgAAAAAABYQAIOAAAAAIAFJOAAAAAAAFhAAg4AAAAAgAUk4AAAAAAAWEACDgAAAACABSTgAAAAAABYQAIOAAAAAIAFJOAAAAAAAFhAAg4AAAAAgAUk4AAAAAAAWEACDgAAAACABSTgAAAAAABYQAIOAAAAAIAFJOAAAAAAAFhAAg4AAAAAgAUk4AAAAAAAWEACDgAAAACABSTgAAAAAABYQAIOAAAAAIAFJOAAAAAAAFhAAg4AAAAAgAUk4AAAAAAAWEACDgAAAACABSTgAAAAAABYkBDpBiA2ZWdnu7/fs2dPBFsCRD/PvxHPvx1EL2IcEBjiW+whvgGBC0eMIwFHkRw4cMD9ffv27SPYEiC2HDhwQGlpaZFuBgpBjAOCR3yLDcQ3oGhCFeMoQUeRZGRkRLoJQEzibyc28HMCgsffTWzg5wQUTaj+dkjAAQAAAACwgAQcRVK2bNlINwGISfztxAZ+TkDw+LuJDfycgKIJ1d8OnwFHkdSqVcv9/apVq5SSkhLB1gDRbc+ePe7P2Xn+7SB6EeOAwBDfYg/xDQhcOGIcCTiKJCHh5K9OSkqKUlNTI9gaIHZ4/u0gehHjgOAR32ID8Q0omlDFOErQAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALCABBwAAAAAAAtIwAEAAAAAsIAEHAAAAAAAC0jAAQAAAACwgAQcAAAAAAALSMABAAAAALAgIdINAKLVzt27C3zdKROS68TJEdT+8SG5anRJqVMn0k0ASp1oi3F1Fn4kSdp3xcUhuW40IcYBdkVbfHPhGQ4SI+AAAAAAAFhBAg4AAAAAgAWUoAMqvFTJJVQlS8WR4/F9SSll2lPI+095E1A8sRDjdvspPSfGAShMLMQ3F57hIDECDgAAAACAFYyAo1SLhl5T17mDncijNHH1rtKLCgQn2mNcnUUfub/ffXnJm3wtUMQ4IHjRHt+Qi/jmixFwAAAAAAAsIAEHAAAAAMACStBRqkXDhBwunm0JtJTJNZlHSZnIozCeE31QygQULlpjXOqijyUVXnZOjAOQn2iNbzzD+Ud8O4kRcAAAAAAALCABBwAAAADAAkrQUeps370r0k0oFLNqAiiqaI1xrrJzSdp5+UWSGAUAEJxojW+eeIZDYfh/HwAAAAAAFjACDpQAOR7fl7bJPEr7RB5AaUCMA1BSEd9KH0bAAQAAAACwgAQcAAAAAAALKEEHolhR1pUsbVhXEohunpOvnYoYVzhiHBCbiG+FK63xjRFwAAAAAAAsYAQcpUa4lq7w7NX07O0EAJuiPca5lh4DgGBFe3wDgsEIOAAAAAAAFpCAAwAAAABgASXoQBH5m1AjGkqZXOtJ2lhLMqeQ1z3bUNC+oWpraV9XEgglYhwxDiipiG/Et0hiBBwAAAAAAAsYAQeCEMwyEq59Q9WL6jpPLC1lUVjvakH7FadHdafHshappaAnFQgVYlxwiHFA7CC+BYf4Fj6MgAMAAAAAYAEJOAAAAAAAFlCCjhItXOtGIvw8S5oCLWUKtFwKKCmiNcalLvr45H/ExU7JpU3EOKBg0RrfUDjiW8EYAQcAAAAAwAJGwIEY4zkhSCxN5lEcBS3LUViPqWsyj5I6kQcQKzxHxXdeflG++xHj/L+WH2IcEDuIb/5fy09JjW+MgAMAAAAAYAEJOAAAAAAAFlCCDsSwgtaVLMoEGNGuOBN0lIZ1JYGo5Cz6OrrEuMA5n3vR/X3cwH7FbwyAsCK+Ba6kPcMxAg4AAAAAgAWMgKNECtfSFaVx8oyCePbKxtLyESV1Ug+UHtEa47yWHysBYirGefy4nLNzR8PjbmEkHLEnWuNbSRNT8c1DSXiGYwQcAAAAAAALrCTgEyZMUPPmzeV0OkN+7jlz5qhu3bo6fvx4yM8dCvPmzZPD4VB6enqB2wAAAAAAJVvYE/Ddu3dr2rRpmjBhguLiQn+5fv36qUKFCpo2bVrIzx0ul19+uVasWKGUlJRINwXF4JTx+fInTg6fL9tyAvwCAJeixLhIIcYBCAbPcIiksCfgM2bMUNWqVdWrV6+wnD8hIUGDBg3SjBkzdOLEibBcI9Rq1aqlc889V0lJSZFuCgAAAADAkrAm4JmZmZozZ46uu+46r9Fvh8OR71d6erqWL18uh8OhV1991eecL730khwOh1avXu3edv311+vo0aN67bXXwnk7fh04cEADBw5UvXr1lJSUpFq1aqljx476+OP8J6LJrwR948aNuvbaa3XaaacpKSlJ9evX1w033KA///zTvc8vv/yi6667TrVr11ZSUpKaNWumWbNmhev2Ysr23bvcX5FSWE+qS6h7UgPtyS1MaelFdb1H0fA7AwQqGn5fC4sxuy+/WLsvvzis1yXGBS4afmeAQETD7yrPcLGhJDzDhXUW9K+//lqHDh1S165dvbavWLHC67//+OMP9e3bVzk5OapevbrS0tJ09tlna9asWbr22mu99p05c6batWundu3aubclJyeradOmWrRokQYMGBC+G/Kjb9++Wrt2rSZPnqwzzjhDhw8f1tq1a3Xo0KGgzrNu3Tp16tRJNWvW1IQJE9SkSRPt2bNHCxYsUGZmppKSkrRhwwadf/75ql+/vh599FElJydryZIlGj58uA4ePKixY8eG6S4BAAAAAMUV1gTclWi3adPGa/u5557r/j4nJ0e9e/fWkSNHtGzZMlWuXFmSNHz4cN1444367rvv1Lp1a0nS6tWrtXr1ar344os+12rTpo3PqPPs2bP1xBNPaMuWLapRo4a6du2q8ePHq3r16mrWrJnmzJmjHj16SJL+97//qUOHDvrmm2/UqFEjpaWl6ZVXXlGnTp0KvMcvv/xSN998s2655Rb3tiuvvDLAd+ikO+64QwkJCVq1apVq1arl3n799dd77VOpUiV98cUX7vfp4osv1p9//qmpU6dq+PDhqlatWtDXBgAAAACEX1hL0Hfv3i2Hw6GaNWvmu8+wYcO0aNEivfnmm16J+rXXXqvatWt7lVc/+eSTqlWrlvr06eNzntq1a2v//v3Kzs6WJE2aNEkPPPCAHnroIR06dEgbNmxQx44d9emnn6py5cp64oknNGTIEJ04cULGGA0cOFAjR45Uo0aNgrrH9u3ba968eZo0aZJWrlyprKysoI6XpBMnTmjZsmW65pprvJJvTxkZGfrkk0/Us2dPlS9fXtnZ2e6vyy67TBkZGVq5cmXQ10bJVZxSpkAn9WDyDwBFkbro42KvGU6MA1BSEd9KtrAm4H/88YfKlCmj+Ph4v69PmjRJzzzzjJ599ln3SLRLUlKSBg0apPnz5+vw4cM6cOCA3njjDd18881+Jy8rW7asjDHKyMjQ4cOHNWXKFD399NO67LLLVLZsWVWsWFEDBw50l6j37t1bLVu21NixYzVnzhwdOnRId999d9D3+Prrr6tfv356/vnndd5556l69eq64YYbtHfv3oDP8dtvvyknJ0epqan57nPo0CFlZ2frySefVJkyZby+LrvsMknSwYMHg24/AAAAAMCOsJag16xZU5mZmTp+/LgqVKjg9dq8efN0//33a9y4cfl+bnvIkCGaOnWqXnjhBWVkZCg7O1uDBw/2u++vv/6qpKQkVaxYUR9++KEyMzN1xRVXFNi+WbNmqVWrVpKkRYsWqUyZMkW6x+nTp2v69Onavn27FixYoFGjRmn//v1avHhxQOeoXr264uPjtXPnznz3qVatmuLj49W3b1/deuutfvc5/fTTg24/wsfVaxnJpXlcitMWekYB+OMvrtRZ9FG++++8/CKrbQkUMQ7AqXiGQziFNQFv2rSpJGnz5s3uRFeSFi9erFtuuUUDBgwocOKwlJQUXX311XrqqaeUmZmpv/3tb6pfv77ffbds2aLmzZtLyh0trlmzphISCr69OnXqKDU1VSdOnPD6XHpR1a9fX8OGDdMnn3yiL7/8MuDjypUrpwsvvFBvvvmmJk+e7Ldkv3z58uratau+/fZbtWrVSomJicVuLwAAAADAnrAm4F26dJEkrVy50p2Ab926VVdffbUaNmyoG2+80edzy2effbZXifltt92mDh06SJLmzp3r9zpOp1OrVq3STTfdJEmqUaOGDh48qOzs7AKT8BkzZqhy5cpKSkrSzJkzNXz48KDu78iRI+ratauuu+46NW3aVJUqVdLq1au1ePHioNc9f+yxx9SpUyd16NBBo0aNUuPGjbVv3z4tWLBAzz77rCpVqqQZM2aoU6dO6ty5s4YMGaK0tDQdO3ZMmzZt0gcffKBPP/00qGsCAAAAAOwJawJer149de7cWe+//74GDhwoSdq2bZt+//13/fzzz+rcubPPMVu3blVaWpr7v9u3b6+0tDSVK1dO3bt393udzz77TEeOHHHPGH7eeeepTJky+uCDD9SzZ0+/x2zbtk2TJk3S8uXLlZGRoYsuuki9e/dW3bp1A76/smXLqkOHDnr55ZeVnp6urKws1a9fX/fcc49GjhwZ8Hkk6S9/+YtWrVqlsWPH6t5779WxY8eUnJysbt26uUe7mzdvrrVr12rixIkaM2aM9u/fr6pVq6pJkybuz4GXRrG4/l+keE7mEQ1lVZHiuveirrUJ2BTrMS6cpeenKo0xzl/Z/8m12IlxiG6xHt9sKo3xzZ+S8AwX1gRcyh3B7tOnj3bt2qW6deuqS5cuMibwN+z7779Xenq612zop5o7d67OP/989yzqVatW1ejRozV06FCVLVtW3bp1U05OjubPn6+4uDgNGDBAQ4cO1dChQ3XWWWdJkvr166fbbrtNb731VsBtS0pK0tNPP13gPv3791f//v0L3SZJzZo10xtvvFHg+dLS0jRnzpyA2wgAAAAAiA5hT8B79eqldu3a6cEHH9TMmTMDPm7z5s3atm2b7rvvPqWkpPhNWF37vf766z7l12PGjFHt2rU1cuRIbd68WTVq1FC3bt00YcIEvf766/r555/19ttvu/efNGmSmjVrpoULFxY6eRsQjHD20BXUl+UopHM0miYYiZTSfO9AqBDjosPJUe+TSsu9A+FCfItesXzvYU/AHQ6HZs+erQULFsjpdCouLrCVzyZOnKiXX35ZzZo105tvvqny5cv73W/79u2aOXOmOnXq5PPawIED3aXvnho0aOCzlnjFihW1Y8cO93+np6cH1E4AAAAAAAIR9gRcklq0aKEWLVoEdcy8efM0b968Qvfr2rWrunbtWsSWAQAAAABgh5UEHIB9nqVNBZUyMakHgEhJXfTxyf+Iy40/O//qf8LVUxHjAJRUxLeSLbB6cAAAAAAAUCyMgCMmbdt1ctmKwiaqCESgE/OH4lrFFcQiAj7HBDqph6eS3KOaWqdOpJsA+FWSYpxrlDvQ5chSP/zE/f2OHsGNhpeWGOe59Ji/yddciHGIRiUpvgWLZ7jQieX4xgg4AAAAAAAWkIADAAAAAGABJehAEIIpHYqGUqdT+Wt/tK01GeiamyW5rAqIlGLHuLyJ1OT0PZHXhGsBqrc4txw92FJ0T8Q4ABLPcDYQ3wLDCDgAAAAAABYwAo6Y4jlxh0ugk1PYFq3tOlVRlrooSCz0asbyxB0o2UpMjIvzs9HPqLgNxDggOmRd1EeSVO/ay93bXNUtMRXfogjxLTYxAg4AAAAAgAUk4AAAAAAAWEAJOkqMokxOYUOg5UElhWeZU6ClTIGWRvk7JhbKpYBQiIUYVyDPsnRXObq/UvUoFw0xrqC1v4FoFe9Ren6qWIhv0dCecIuG+FYaMAIOAAAAAIAFjICjRAtmyQkbYmVSj1ApSk9qNF4DiFbRFuMCFuTId70lS93f77i0a6hbU2S2Y5xrKTdGwFFSFLTUYLTFN57hYvMa0YgRcAAAAAAALCABBwAAAADAAkrQgQiI1slGwsnfhBtFmbijqErCupEATpajR1MpukSMAwrjKjN3lZ3HKp7hvLfZUNLiGyPgAAAAAABYwAg4YkqDunUlSdt27YpwS0IvGpa6iKYJRkpjDzNQkmNcqBVlYjZiHBA57vjmMeGaazTcc1Tc34Rs0Y5nOG/Et4IxAg4AAAAAgAUk4AAAAAAAWEAJOhBjPEt4wrVGZmHnDWcZUUHXLkqJV0mbuAOINp6l4HL46dc3zuJfxPMcrmt4bCtoLWG/p4vRGOdv/W9iHBA7eIYLrg0lNb4xAg4AAAAAgAWMgCMmuSby8ORv0qJAl0g4vW5qsduEgm3f7fvzcS1nEeqlLEpqjylKj5iKcQP+Fb5zB6lBBK8drhiXuuhj9/euEXBiHGKZV3y76QZJkvOFV3z2i4r4Bkk8w4UaI+AAAAAAAFhAAg4AAAAAgAWUoKPE8FeyiehRvw4/H6A4iHHRLWwx7pZ+7m8ptEVJFefxUZZIfpQE/vEMF1qMgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk4AAAAAAAWkIADAAAAAGABCTgAAAAAABaQgAMAAAAAYAEJOAAAAAAAFpCAAwAAAABgAQk48P/t2jGKg1AYhdE3YOEG7N2Arfvfg4uweBuweOB0kibECZNrhHMqy7/xwocCAAAECHAAAAAIEOAAAAAQIMABAAAgQIADAABAgAAHAACAAAEOAAAAAQIcAAAAAgQ4AAAABAhwAAAACBDgAAAAECDAAQAAIECAAwAAQIAABwAAgIDu6gO4p9ba8byu64WXwPd7fEce3x2+l42Dc+zb/dg3OO8TGyfAeUut9Xie5/nCS+Beaq1lHMerz+AFGwd/Z9/uwb7Be/5r4/yCDgAAAAE/+77vVx/B/WzbVpZlKaWUMgxD6To/U8AzrbXji8M0TaXv+4sv4hUbB+fYt/uxb3DeJzZOgAMAAECAX9ABAAAgQIADAABAgAAHAACAAAEOAAAAAQIcAAAAAgQ4AAAABAhwAAAACBDgAAAAECDAAQAAIECAAwAAQIAABwAAgAABDgAAAAECHAAAAAIEOAAAAAQIcAAAAAgQ4AAAABAgwAEAACDgF3vd2gV80tDxAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x800 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1162.31x718.346 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bcdi_pipeline.postprocess(\n",
    "    isosurface=0.3,  # threshold for isosurface\n",
    "    voxel_size=(10, 10, 10),  # use default voxel size if not provided\n",
    "    flip=False,  # whether to flip the reconstruction if you got the twin image (enantiomorph)\n",
    "    handle_defects=True,  # whether to attempt to handle phase defects\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **3D interactive plot**\n",
    "\n",
    "Display an interactive 3D isosurface of the final reconstruction and explore different quantities for colouring.\n",
    "\n",
    "What you can do\n",
    "- Visualise an isosurface of the reconstructed object (amplitude / support).\n",
    "- Colour the surface by different quantities: amplitude, phase, displacement, strain, d-spacing, etc.\n",
    "- Interactively adjust:\n",
    "    - isosurface threshold (isosurface level)\n",
    "    - colormap and value range\n",
    "- Rotate, zoom and pan the scene with the mouse; use the toolbar to reset view or save a screenshot.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script type=\"esms-options\">{\"shimMode\": true}</script><style>*[data-root-id],\n",
       "*[data-root-id] > * {\n",
       "  box-sizing: border-box;\n",
       "  font-family: var(--jp-ui-font-family);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
       "}\n",
       "\n",
       "/* Override VSCode background color */\n",
       ".cell-output-ipywidget-background:has(\n",
       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
       "  ),\n",
       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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    "bcdi_pipeline.show_3d_final_result()"
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   "source": [
    "## Feedback & Issue Reporting  \n",
    "\n",
    "If you have **comments, suggestions, or encounter any issues**, please reach out:  \n",
    "\n",
    "📧 **Email:** [clement.atlan@esrf.fr](mailto:clement.atlan@esrf.fr?subject=cdiutils)  \n",
    "🐙 **GitHub Issues:** [Report an issue](https://github.com/clatlan/cdiutils/issues)  \n"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "## Credits\n",
    "This notebook was created by Clément Atlan, ESRF, 2025. It is part of the `cdiutils` package, which provides tools for BCDI data analysis and visualisation.\n",
    "If you have used this notebook or the `cdiutils` package in your research, please consider citing the package https://github.com/clatlan/cdiutils/\n",
    "You'll find the citation information in the `cdiutils` package documentation.\n",
    "\n",
    "```bibtex\n",
    "@software{Atlan_Cdiutils_A_python,\n",
    "author = {Atlan, Clement},\n",
    "doi = {10.5281/zenodo.7656853},\n",
    "license = {MIT},\n",
    "title = {{Cdiutils: A python package for Bragg Coherent Diffraction Imaging processing, analysis and visualisation workflows}},\n",
    "url = {https://github.com/clatlan/cdiutils},\n",
    "version = {0.2.0}\n",
    "}\n",
    "```\n",
    "\n"
   ]
  }
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",
        "encoding": "base64",
        "path": [
         "_widget_data",
         0,
         "i",
         "buffer"
        ]
       },
       {
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bkj9qNAyKzSCVP96zQzQIa4o/teJA5d2jiz+O/F20UdCMP0t08Beo5I0/T2AErJJLjj9Y+75XKISNPxSsnnpJOow/iZrs89WDiz9MbaP3Z16LP/LP/DxAm5Q/TonRnxvWkz/WbwRJ3v6UP+sOv0MBPos/kDmlMG7FiT9ESbk0dh6IPwFf1ztjuoU/9pSi5jx1gz9YVfV03SOCP1CvM4NPNII/TnNgcnwngz9cPi1XkTiEP8rHw4TFgoU/iX1UfnFkhz91IgrNw0OJP1AaTplf3Yk/ppFUfM00iT/8KUeqcUGIP17L5A07Voo/IKuQyuivlT9B8VREHZqVPzBEM/3iL5Q/yuhxwYQ7kz/Yl3BOyeeSP6XaOqIDeZI/k4ggUNCokT9BE3kLQpSQPxLfojfhTo8/rIiSa5ULjj+mbfeF7zyMP6OTPPs3A4k/ZE4N/jADhT+SbXQDPYKBPySQYmV/CH8/UKo+UEFYfj+dfIBr0jN/P4BRZJEooIA/WZbHnX2Jgj/u6qoUEkmFP+K0qZC6UIU/ILgzQUwJiD/KJDbqP4KIP5w+aX3ak5U/+Nr+UKIAlj8e7AbE7CeTP5siGlw06JA/MjmWC+Fckz8vsZs1VvSTP1DycSWk3pM/vErGBl+Lkz+wPwO+h1STP8UDcsh1WpM/n7CL21hPkz/uhVpbDOGSPyX2UcI5PpI/zJ5YhiefkT/iCnVFZqqQP9vIeDMrW40/nFxJYGLAiD/zesEdMweGP45fWEcWy4M/di1tikpIgD9ZCzLCKYl+P5ZyfCg0G38/uTjaIzJVgD8yN2BiJUmCP/g9UtZ195M/cT4t6CcSlD+Zz1dCnLqRP4hkQukwyI8/eiRqxPtCjT9AxAQTGr2LPzLfPGyUIIs/yMgnWDSXiz96waFLVn2NPzFBnAveVZA/KZHZjXb6kT9FErcfAR2TP96bJqnRjJM/xO0ACkJekz8hIedqc/ySP5s/jLXh+pI/izvG5OE1kz+y2K/CY2uTP4ASQkgaEpM/3iVAXUVakj9enJljAqqRP+CsA4k2u5A//cx6ojcQjj+lWfwJURaJPwzENvI8r5M/v/KyFEScjj/q9IwLRQSQP3h2TEMIR4s/xupQB2L0hz+JlRJvPEqFP296whITjoQ/fstbLg++hT8IM8CRxvyHPzKEkFoSoIo/MAQ/5446jT8MC4vVn3OPPzl/FMl9RZA/hDz2OfrjkD8GsxkJm1+SPyY+nihvt4w/9rNU1IsOhT94R+AtOVx/PwxzkFkjSIM/GgInZ7J+dz+jp6677z92P307VHuCtno/RrgszTvQfT/nRXjUHMyAP3olVaYtTYQ/AAxrePUJiD/mff+WgreMP3IRm/VoNn0/PFdGKqtCdT8wgdSFtMx0P9iD0dT1SHo/kWuvYNG/fD/ZAd1yFOeAP7kzpVYygX4/cJe6wTtDeD9iqyCogORzP+cPO6imLnI/uGPfyttsaD880u1tXz1vP/Sz3SUYP2U/ncuHWw4Acz90uhYFVedxP52k/qg+THQ/WNG9pmJzkT+9eaoLfYGQP7FI6j0u+48/5d0P6zkXkz/0YlR/KDmVP7qBPGlt95c/gGLljv2KmT/8LsP8IHaYP+ykbbhEKZU/AHzYIl3FkT9mBA/RtUeOP5h1aN0f9oY/ycKxXbdddT8Otx4bz7RTv9QD5EkKSnG/0JReQ+nwYb800kq2PK9nPwIustKoWH4/zYF+yUbugj9UiRkpKwyDP8kAQ7szhII/7RIdbJNkgT/f703lJkN7P0DA2R3Ng4E/XuY1aD+fhD81UdmZn6yCP8vcwql0A4g/0qCE5Caphz9REkPuN3yKP5qWkWYZC5U/RHEGEVAHlT9UDGfNoHGRPzdL/hNle4w/oipNp89Fjj9C6qcHM52NPxKg+nfIlo8/AMMYfB2Zlz/jqICcHraXP7gdFkRLVpY/MqfcKsYykT+fVj3bJI6QP6CnCjXgWJY/m2VN0PTdlj9alVIIaheUPyrR0fOlAZE/iC8i6a51kT/5KLltJFORPx7k6+0ePJM/31hUz0X/kj/ezv81XqGWPyBqxx/wH5U/GbW6CKwXkj8ir6c5hJuRP+Mf03J5RpE/cjrDfX5tkD/OT6T5YmOTPzacchPG5JA/I5ALgg5YkD+l/eVgovOOPyx+tXL8I44/j/pUHlcvkD/CCqDhoRGQP0uxbjc5now/yDlcD8njiz9Zrm19l5aQP/x1IZZT5Y0/eT+at3q9iT/M8z/bKv2GPxiwbi7dqYY/8g8SMpqvkj83mny8jq2PP7T+S7XYSoc/4PLSBb5FhT+nXY+ti9WCP49YkHGbJ4Q/SInf2khDkj8lvAb6kBOSP9hwH86kgZE/qNgKe5sSlT+SBsnoN0+FP80/c/imiIc/wE4tgTPEhz8SLEiKw1SGP8DNiIM9OoQ/D8WLDvFtgj9EHiu0vraUP9PPmE0Hc5Q/d3HY5G4slj+maERUceaDP5iPdpUaiIA/RmppqKUffz/wc8FlUNd/P0xwd8mtnoA/Mvrrf0VTgj+rmZB1K0SFP6h5dmS5NIg/lRCBsu5wiT91Y9W8z3eIP2sajVqJaIY/1/Wkn6ODhT+5qhPzom+VP+hZUVgdGpU/5khXidpylT9QCTlWTuaSP7tSgYkVFJI/SHHkx0P/kT8TH1+buMKRPzFcoJmRF5E/UVlME1+DkD/GnjcLo/yPPyuMRLmc0I0/JrxnN2z0iT/z+diLQc+FP1hh47MBTYM/ZOI9cvTygj/odAzha2uDP0ebSr8O4oM/gFCRpFfzhD8OAV0w6uGGP8PmjQL6C4k/A/qF3cwlij8TguIAr56JP1h0ePyWzog/pO1JWhP6hj+GzfWj7JuSP0nl8XjJyZM/mAteAHzekD/vys5RiEKQP3ehMzuGpY8/oKJkoHYBjj9OPdtqbBuNP4EwnlFqSo0/RBjy097ijD/yNEKXNcCLPzhxjIwpvYs/CqbTXlLWjD9oBDtFOZqMPwKiFH3V4Yk/vD72aQWchj8AJc71QvyEPwiqnLJyBYU/NvDnxt4ahT+SFNEHulSFP9ZnrGhhSIU/WrP5NxxbhT8apmdIgw2GP7wVMj23Voc/WiGHirywiD/X4GP3zxSJPxjTsHZKiZA/vaRcKsT5iz+Ix5JJcyCQP84KEpaaJog/XT6E6id8hD8yqJW/VXWAP9z6xUF3j4I/OIIPLlJ2gz9q5W1DhNeDP7vGipIceYQ/oMcBper4hD/+/KQlwLKEP2zrWF23TIQ/sbaFeQlhhD8N3c+FuTCGP/KFQzaN+oU/YL3Uz9QhhT9qYQD+3DGGP0m+YITZJ4k/VeYCuXiyij8WxwyN6O2IP0XkhmjSSIY/0oBg/6D+hD+qqdT/eg6FP+1vAwbqZYk/Tv6CRIq1gj/gbS0yOqaFP+S+FEaqNXo/bqRuXgJmbT8DIKBbrpdUPyjWBW3ztT8/vHdq/8CAWD/DhEviA6RpP7NED3aOIHE/XZx7plbGcT8IFJG1Bo5wP/dOS/aJZ3A/7jt9sWovcT9Ps+x1xU11P6wFJEEqYoA/+Vahz512gT94z6eIRTBzP+0w6rrL02A/4ljvIEwlbD8AMt+dBYblPlKO7tVOz1S/7fcQiBw6Vb/q3JWW1QhDvygAl0m9uh6/cLReTjcvOr/S+CeKvGMzv25EoarsTUo/jRLeMQXyZD+4qTKDHzpiP+YgWo90mUM/PjeGC3IUTb/ICM5tTyVcvzi2DftfHVu/KvoWK6aCUL+XPrqtQChxP4qjri+7dXI/fzy4t4y/cz8XQWtwoFBzP3vMd5TVnHQ/fyg6IAEhez8yUPkEKsqCP7RQzwCaKYA/kfEEhX/xhj+B/aeWTI6GPxPZC2+0Toc/hemYCXpMkT8fKMT5xbKSPyC/ZSaWF5I/VlQgDuYvlD9XG6kGUQaTP37E32FcSpI/NPOE4jnFkj82w2sqbY6SP3IjfddthpA/efkrhXpziz/XFF8Zy8qHP6LuzYdzloU/XNjN6QVTfj/O4fQGjQ1GPyKSDTfE7Xq/F61cUVGpg7/KOBaqzHh9vzBQ9yyAx2G//oRJN3cpXz9BGgI2CIFrP5Tu95Goo2k/+vCqZaK1aD+Hh9ojtQ1uPwn7jocYu4k/PjzH2fzvjT9Uw5Qv7nSPP1Bs0qUY3Y4/yE1oBB2Tkj8YH7ifD8WVP8cdbaiPJ5c/XIwFzdpxlD8+MBZa9teSP/pyMr3Db5A/ZDrH5wlnkT9Wum1T7J+ZPw5mNvTdFpo/5knkkYyHmT/TdoWoUTCQP6AJxUoPqY4/zl3lLUwElz/gwbilPIuYP02kR0bQIY4/hsfHIFLDjT+hGLY5EriMP/3gZzH3x5M/xGg0/74UlD8vxm3f6haWP2qLaqxTpo0/U4Kb9N27ij+rjxhREHCQP9irm3xQrJA/MHSfWghJiz/MvNEEUm+HP1MumN2CTY0/yh9vfJAejT/XCmEcCW2OP2jZzHFvAoc/0pctDmhWgz+OCRYM0z2MP7pn+r/oJ4o/gf9yPbLigT/VUws2kGx+Pxj5xm3/5o4/m+XivwGniT+OyaBFO6iCPzCDcO+ph3s/YCR9twRleD+hdlQzd7iNP7F57cy0m4w/VYxgZFuLij+KFs12s5CBP7XFxsqRh3o/8JACLub6eD/fgX2tKymSP6CEZKeFiZE/TOzWfZaRgz/R5wbFNl+APx2QZUKjGoA/lYHSxllqlD81Z8uiOzuUP3OOudNTcpU/3cUuujtmhz8DYmN5J+SEPxIFBJqcd4M/OLMx5CvogT+7LUdmctCUP7f+Xy+XEJQ/QF3DFlrNlD82pUs5i1GFP/WPTCFCPYU/zWMsJDYIhT9QJUBRBR2FP3RMXsXbvYU/SYSVb+Cehj9meHkNmI+GP4SqaxPYQ4U/bJYZI84mhD8iakjXD0OEP9WnT3p1TJI/vEQgIsAVkz8SyemOQ0OQPzugCo/ZQIQ/vB/LRo/Pgz9v+49uM4CDP+22Q5koZIM/BNWTSM4thT8EmkpxWXWIP5eQbwtyook/4rBDxefRhj8MKCGccj+DP/TngYpcAII/CmT3i22ogj8yvEToKHeDPzY38+BvUYM/PthtHa81gj/N3YsHmxKBPyD/H8v/3YA/iH6PXymugT8q4jC8CKaCPyPAAQyPRoM/8vNBuyS4gz8xL7oCkWeEP7En+5cB6ZE/Xgkj4J40jT8wan+6geiPPy8a48pa3Yc/aYKpLxhycD8KCJyrqlVtP+HDidZQems/0bbn8+lPbD9O380XgSxvPxwwicRDynI/rJm6xVfbeD9AkHxgxS2AP12tKWopmoE/zoRU0q2Ufj9tcbbFDUF5P+YbESCMInk/YGtoeafBfD9EfxLb7SGAP4GFZnPjcYA/UitNPZ6Vfj/dAR0ZTO17P0faIxW17Hs/lAEbHUSIfT8tCE4ASid/P5TTlpyHE4I/J1YKISm7gz+EIUvb95uMP42oJGmkbIQ/5bEqFZKzhD/gwP7+L797P/xsehC/jHE/6FslGqUlP78OEfyDb4Ncv9gm2neCJWW/MyJfw/HwZb8vM3ddgsJkvxp7RHtLaWS/8GoU5/X5Yb8OzT5POFpVvwDs/RGyqN2+/G/HGTfGVT/LdwTY5m9kP/NbdwGBcmc/0rFNX4/RYD+hQLNICcFWP8QnrxJsblk/glSSzRAtaD/Ir+DKQdxzP6Oat/LiMHo/DZ9rrOjwfD+SlPiB4nV8P7OPDQtXOHs/LlNsH4rMez/6yEZzn1CEP6Snez9dhHY/HKmhqLnOaT+PRpNpVj5xPz92OZGRFGE/VOmHvv1aSD/jNWN+n2pSv8vIUZJmyGa/2oFLju56b79kz7QvMn5yv/SO7obEUXW/VjWuCM9ieb+uWkdIgCB8v7XiEp1zmnu/G56gz8oxer9EmjKfXRF6vypAaxaLO3a/zNZ8ynxjc7/JxxZyHwtwv2rKoMPtAmi/rXTRcOfhYr+J9wnYQklYv+STta+jASO/6feKtWj3Sj9sWXwxbZ5pP0/qtE5He2g/NB8J5qQPaD/meBBTHQ9gP5QvWpPU0z+/UaabY3URbL8FHCj1nQB4v0Z/t1fN3n2/6+UKa3FUgL/uls+fscqBv1pFPqX+LYO/OVMelIwng79KsDsfaRWBv+Rhwmj7mnu/M/XFXhc/aT+Xez3gFHtiP8TCFzFvNia/EXQehNSXGL8/K/J/o+Jtvz3gdyVJCHy/RydCw1QhfL+CLI/O+s2Bv0nxqwhUzIK/IFcUNGgeg784rl1vB+Umv49jtkZwB26/Es8T6qAIfL/EBcyEie9bP0IBxQtspFg/NQ9IPR0iaz/YSy9mHjtsPy3e5qyjkms/Vf7yUHD8cj+Uhhn3SGh+P28X8f5ldYU/v8Hj9krdij/P88MhrXmKP9hrM/vGMI8/EgrTONkslT+6gbqDFjyWP6iWODf9DJY/GMqdB7/+mD/pA0gPlQOYP1JkeNRXvJQ/30zN3MuQkT+GaxKZbEeOP/bnlyUfkYg/osm8WwOQgT9JqRaeaWV5P0q6pj1u8nk/y8rS9+6+fj+byRZ7nFd4PwBAb42grOE+mgc1SV8Zfb+IPXKUzNCFvwfxqJM3CIO/ovllTLx5dr+thB+rOCZlv+0EmmZxj2K/f7IaytX8bL+WmneiRBVvv4YcSzhycVu/8+14ys+vVz/Qqdio49aQP1a7pwggmpU/gle2dQc+lT9jZY6e+nmUPwx+OI1JQZc/FylYwswemT+25eneMdKZP2Z/mSd6qJg/aTPY8uLLlD9Ytk3wkP2RP7Vy1LU/T5I/h6t4sRuynD8fiZE++lWOPy36kRcPQIw/Pifsi2u3mT/oPXWtBpSaP94ejozYRpw/+FZdsMZxhz9Wsl/G+9GVP30/PV2oXYc/NIstPD9khj8Oc1P3Vz6EP52ZLsETMJE/Z8xb5T1zkT+jujwOU4yUP7wK3wmqSYQ/6ZIIUwgqgT9aJ4XO0QOOP7/ixfbzF4E/RC1JhPrLfT/I2KTVyMCJP0TaeQ4w3Ig/+n1gRVHVjD++8QJShqZ6P7wgGBh+zHk/hHpGVsZkiT8O/2VbZ6CGP0acvgm5YXQ/g/39Y2eIdj/PwYUrTYaJP5SX793GcYk/WIE4eYskiT/37fj1DVR0P8lwX7e8G3c/LHQY+mfekD9+PruvSd6QP+yyjN0ZsHs/8l7XQchcfT9Xn43/wUmUP9Kn8zZPZpQ/6FFPDDVNgz8MPumVl8KCP4cgAwaMUYM/KNIaTu3AlD+2uYV71cuUP0eonYDRp5Q/H/JPPeJuhT+NFbU9qBGIP4JO3op3ZIg/dG1fiWsikz+tz+g5KRSTP6Tplw7hGIU/ILKoKCTbiT+GslypdnWNP8uex7fS6Yo/imdorYBbkj8iC4vWgseQPxB6YQCmK5E/SJI2/zPffj8S+4nKRxGCPx/bYgSJmIU/Nq+UPh2Qij9/6/OvAFmQPxQo+pg/VpA/vMcRj7bOjj/qFQ2gdg+JP6hEedlSq4o/NwtVPiP7Uj9FoXROj2tWP+whBzM5hWY/ma81L0nZcT9EKXbHesx1PyfXHzWisXY/3fdeCakcdz+K8W+Nwut5PzKVNCNFSYA/bDnfMi5phT8Fhl4aN7mLPw82uHjBTY8/kaxVaH0lkD+KNkzwCzCGP/cFbsG/u3o/NsJPfudvfT/vJJ+nlHRyP0s6eNxNp3q/4ZTf//8Ceb+G+NOdvehzv4knBM1Ir2y/1C5cdklLaL9njSVCKElov+B01EKyOGi/Iho4Azznab+GE5Yij4lsv5shoBlfsmq/K+FziaFrXr9EUuQnW58zP44nQNRvuGI/R+FdZrU6bj80ljenQrRzP6CxBBV+53k/wLBm5+P7gT8wYRGEje6FP7Qg0o9Llog/DCJa+TG9jT9z5Fp8raF3P6uThED+EGM/wNBZ8ku2ZT+GZliO9ENiP3QnLk1IUYO/VEruxMFwhL/5T4/EXnSEv4ObpaY124O/ci/9LNEpgr+yyK1WOgt+v4Rel+dMj3i/TYMBQ96cd7/uYsb7Lvp4vwh+8Qiyfni/+G7q3skcd7+9FVAJP+x3vyccfVfhfHm/RQQmju4hd7/0Ap9OZndvv27U+GE7D1m/mpzmR4dvRj/Pl75Q7F5iP/5xUNOKymY/juJJbGzbdj/P8aPYJd+BP0S4bd0waGE/OmiUyMnkWD/17GVKV+FWP0MQQWHRjWE/iPEPvpwlXz9FzSVP1HqCvx1CFwC/moS/z9GnPgFfhr8849EHNL2IvxQxlQyEjoq/tmdIM2LVir+YMGiHjMOJv96d6MQBt4e/EDtuNrO3hL8xPZkKgteBv/r/k/7Ro4C/nyU5xNbEgL/V4ZkRHW+AvxmzPdM1/X6/Sv+WLZRqf79TaQn/6fx/vwL95/kLZ4C/yFfkdRDcfr+5QcOkDS93vwRSs3Fhc2i/mDJYq8GYFb9F0dzyrGxYP98aAbP4uFo/KvWaDHDjWT/MYozMFtxNP32JDVkEZVC/0LpFR/x5b78wS9gJYsV7v+Qx7r2ZhoK/ymJf5VeFhb9GPtzl6gKIv3LnVPJlCYu/RJkInF+2jb8wVukDPnuOv9dMIh2ujY2/6xHeSckpjL9QXnrJNZyKvwYFADyXB4m/+82CiYNliL9VFhvE9q2FvyDhGBb+J4S/fBplfI7Tgr8ofdf9cM6Av3ZnrKNpwX+/5hNwCFKmWD/Ptd1nqxJLP3US6BHlGk0/KFtxby6XOr+88D3FYrZhv65A9yBdgXG/UnsPo2Pjer9aiic0WhqCv7ylQpeYeYa/CZgPrRR8ib+X4UmsyYGKv9KHbZwgeY2/CtcHVL1ojr8ghA5sXcmNv/CGz8fvn4y/fAZJxeX7ir/bjI8E4stJP0pVb8Elfy6/cLrRX3QCTr9eN6BZcoNjv0Lb26qof3S/dXKhbUmIgL/5BRUVlBaGvx7f+1n6LGc/mooQv9imaT/uJvsM8a5nP9Bnb93bCVw/pX28wPNoXz880c7Hv11xP0rfZSalKWs/jJp3C1jWcz8sCw/52IV8P5VFNv879YU/TK9a9Q3gjz95TKbeWaGQP7piTq6+YZY/GZrZSH5jlj8eZNQQM6OXP1ViP/Eknpg/FVZF41/gmD8wWIMRY+CcPyi2Qrxf8po/RsAgiVJ9lz+ixm/SxIOTP3hV74phwI0/Z7Tax2ENgj/petBvjppwP78SyKthXl0/2RJS+LZsYj+0QPQCIyZ2P0SqJw2qFnk/VAyNIGg+Yz8+0qH89nVuvyz8wU8y04C/6N1cHoZ8gr+QBH22JYh8v+4y72+SJHW/WooXbcA8eb/sznRcqBCCv9JkSP5d/oK/bIxZi/Twdr/ohQcgy0wXv9U7PY8OiW8/4NMa4p5FnD+vl+qGvg2aP8mffUPOkJk/aoq5ciammj8AAGo+mpKbPyEwoQCcsJg/T+MQY9WRkz88E4CjHEqdP1Yzzijld54/DncPfU0rnD8RqQ/yESyRPzK074l6Fow/6HVAINMxjD9CubOWnHGcP2Ux4J9IaYc/iqXJUDpqhT8fWHANM02WPzg12OZ+kpc/Rgogt1lTnD+0zzp6YU6CP/qygDTTEZM/ze2a7UQXkz9+9lFjxYSTP0Jm1N7Iv4E/ZuYe1SJbgD+zWneA7MKAP9CXw8zSbY4/ZWhcR1tijj/eTgB8rrp9PwV6gZR08n8//rym6TQwiD/+Dz/DYyKIP21LOUNpVog/fiMD9UBBej/+6Zg0ykV+P4KuSZqBxoU/9TN7EZQehD+PEjWUafJ2PyCqPceEi3w/i0KbP4WZiD8bD5esSz13Pzpi6x70Vnw/creJoqp1kT9sTSSAPah8P10gKftmzn8/myHEuUNTlT/slfpiDXSCPyBPmpdyEoM/gUnJCheklD+apGB0F/+UP59WYoSUjYc/NbA34qqqhz9s+591/wiSP9oh2DR5AZI/Cnx+CiGxjj9+/KJJIpKOP1EjE3Fnjo4/wJOx4LDIkT+CS3g7hrGPP5DjOMy8q40/TX1o1uDDkD/lBXNMRDiTPyGD4CIEXJM/bh2EnrHwjj9AKofm97qLP8zTmSzgc4k/iE5qCDdyhz86XsqjoC6RPzxaozzJeZQ/LI4rIApYlT+GzOh6X6SUP1y6pu8DlYQ/Ce8BjpU2fj8ARHGIGll8Pwtm/cbdAIk/x3SeMYlVkD/M1BaOy+6TP/ZgB0Z/GpQ/LdS6u55RlT9uIrgWObV1P63EJpEZE2g/BiuzHLJdaT9+WTkcItVlPxIAby3/fHQ/tGHFwyaogD/V5+MNTrmIP4NPbQjubY4/gli3HO+YkD8NXf4DX/iTP3hVFAOVWV8/Nvv178wOTz+UAoMT78RVP0+6aJDNQIG/LGAgpWYIgr9k73GyhnKAv1EJaH7+k3m/GsXjtZMHb7+AMgkXR4ZJv0ASNa0WumY/IBu41zkxez/rFehfgZqAP2CJmnKCKoc/jzhCqvxQVT8yCqnAAmxRP3JzW2qNIFU/3Nhq/reQiL+ZiKxv4rKGv/Swfp/yNIa/rhouhzhchr/2hTySYtiFv85IagLhTYW/Whok6D/dhb+tLXlx+7qGv81V28c9YIa//V28XIi2g7+1VGvxklp8v8s4c2sEyGe/mlDNy1L6UD8k7VZvPX1cP6Yu6uOh9Hk/Azdv1ZnMVj9tgs+JroxXPx7JRLl9v08/RId+oAV4ir93qgJcfl2Nv3IkJu9XTY6/sRCB/CEijr+OejtRCWiOvxhohAg2NY+/d6zNR7W/jr8AZvA2UcKMvyuFMKBYZ4u/gyS1nbd3i78lgHht+mGLv3c5CEYCi4q//Lmy6JTMib8XuGKahbGJv30LGxbpbIm/Gx/vQB/Ehr8/0oUaYGeGv9bzF1pvWH+/Lwrwc11yaL/+CrUyEHFWP+wgnqhJw0A/iq/4npbNRD88hYsKo7sUP9AmSIPGH+C+ISJ0buymMr8nud8Z6aZUvywnanz6MGu/DMyARJI1eb+bBJgMi2iCv/7LhzAX4oa/MBLupSmnib80zrKlkhmLv/7K+ltyPIy/7mxvakYHjr9iNBcfuzKQv3Rt8zJ2u5C/3Wekh6gCkL/pTPqno+KNv5JT6H/d9oy/fy+Dqq3bjL/kBFm4usyMv551K2xsYoy/eCfbkQhvi7902tNQz7iKvyUbBPX1x4m/W4BuSKvGhr+CyxN21VE+P0QVTSPyzDA/g9vhu9+iSj9jyE8Ll+dBP1iVZdmwflk/DxiHF1+mWj/ENpxpBRk0P3eIj76Kd2C/3KI0RRBfcr+Q5hDJPyJ7vxU0Oh6dWoG/W9FJk6D7hL9iABLy8jWIvxyu7J3guoq//N09VdvxjL/syjU2ilCNvxEhqRySPo+/dYCZzK4fj79wYvhp9TKNv0Q3rrI7Qoy/vrn37LW8jL9wyX5fPNhYP5ec1QrbPGc/VoyLVmaEaj/sKFAFfdtiPyD7Jdua60M/VZ22EgaVVL8CaE4OwlhqvzotSE/UfHa/Xxo0o+aXgL8+Vb+4CGSFv55r3PgX+Yi/0J2ym3V7jL+D5EXY7DZpP3rt+ejIzmQ/rLqHP1blUT9+I/P2NVlZPwCsahgwj3k/jvjT2yAqfj+S8lsqT0Z/P4Ne5/yZl4c/pDnNMIkQkz9jHHvoZqiaP60rw7bEX5s/Fuy0wgfmmz+YYDmIT8aYP+RbX13MG5o/lJCySdOZmj8UHiLiIQKfP3pgMgvPkZ4//J4VDBiXnD+KPtS3o9qZP9+4u75ZmpQ/nh0/eqMOjj9LYEXY1uF+P82GSbBdwk4/Fh2QxZtEXb/ywrHl9gA9PxxsRklGVmQ/Dhi0+z6Jdj96UanTgY15P6ZTZHD17Fk/mLdG8awJbb+O3W+qJSF5vxlojkZ4UXa/TEnQvCHIe7+bx78SbaGCvwLGJ5P2I4u/Agb1Pe37jL+l5AJ+Rx+Dv1d9GI+apl+/UJPH8fOjZD97PHdIzthhP4RZc5KhXDQ/ONHbm8p0KL8e/tjgL71IP+B/V5KFrWY/qfEEdco5eT/rd8/w9omfPxshOINukZw/7Eu/aevRmz8u7fg4dZCcP5byPtBsrpo/5YMUyLKRmj/3kN74VU2UPy/6I0LE3JU/eDVdMiOqnj8UNlo3bo2eP2KyrEWYPZ4/usfby8Rijz8ZVvsyMXScP6QdLweEd5w/hag+xK3Oij8WDaFXcL2HP86Tp2QZRIg/uKVrD/73lz/l0qnu84aXP6/15/n0xpk/ISMg17G5gj/kNv0ZhWSFP2xxAF3qYpI/k4s5ex1Rgz9DTuPQvWWNPwBHsGF5s4s/TJjmcc8dkD8KzLkEsj6CP7SWMdSv44Q/eKsCcUgwgj+MdAfYGCmAP9iEGtD5BIE/MxJb2+3ygj+AxH2vMniCPwDms25WQIM/NE3suztofT8co83SJG1+P0SjxRitkIg/zvoUHo4niT+LUab6urB8P+Yf2us5qX0/BDdliw99kT9QXOjrlqqRP3krJ9Er7H8/PQUIhvRWgT8eNyVIbWqVP9T198nHJ5U/YQTwo4nVgj8+0vypGViEP4QH6EDyPJU/GaYFP0cElT+03kbUw3eGPxSUUvP0Doc/EhKCXMYlkz9scB6r29yQP/TRJoad1Ik/NKAVsZQkiz/K5bcNUUOJP89hEhpPWog/0DNn7UMTkj+922FZjFCRP6FdQ6ELroI/Q90YIEqUgj9ixmwx1ueVP/MTeL+gYpU/qBHEJhrEkj/Ig3fVllR2P2LLE1z79nQ/mMEIecmQlT/e6jLPvMKVP8CRRUW2QJY/L1SGxJArcz9lwXkXi19iP8lDMcI2v1Y/ao16veYskD8Ats8e2jmSPzJ3D/HhPJI/AoYsNK9VlT+UZQbnTGtIP7h5TlEqCFI/EAOBviDWIT+C8U5oHj2FP5C0qcxzyoo/Su1Lz68fjD+CvkmWzU1OP0lCLPAQdU0/1r8gD0G1VD8hc0ybmMZbPwtGLTLCI3g/ktF2DMi4gT+OgrUOj5+DPwwt79udFVA/FZ5CfnfFWD87AYLVROVZP9e3DiBoQYC/XvhYEaCSaL+IOdSxaxhjP4Y81CtDnXM/ZNsraajweT/Kj3RQZeJbP0oTtFSVY0w/uaZF2crdVz/N7tCig5iMv4KCHOmdGoy/UFFW01i2i783tI6umtyKv+ZcnVS+nYe/1W0X1mE0gL94ja9QIgBmv8QbLoLbh1i/M5o2hsKfZD9wWDsKdDdTP9BdNlXYrzo/WIl2p/yJVT+DNv9yXzIzPxKUZ5CvYo6/MsHcJE20jb+3vnoNOAyLvxgHHhWpi4i/PaqM5aHNh78mUOAvW6+Ivz6lzlBfwYm/tJn9DuT2ib/9Fh8LSdKIv8EL7slCToW/JWQXgs3tgL/4waKe/Sd+vxcKOFEvWma/08g/CC+gYD+qCLyL8hNqP+UusxBGLm0/hgGkD2dXaz8XP8+E6jJxP7wO+88DUXM/++7ZZKF+cT8IKolBfdRqP8s4sTGVbmA/XcWTnzrVJz+3KcQ8YkVkvxIGqaCR73a/AuFs9I+XgL97kJE44P+Cv4Rq6w4S24O/JEXD0eSqhL+OCXeGHHmEv9Ttxc25IIK/bXKQU5gBfr9a91UhCW57v9iHu2ftHH+/MK8Rnl1/gb/sy7TWJ5mBvxODc/1EAIS/86nYfb6ehL8kQ9bNkomDv8DRFbn9x3A/jkPUfmP0dT+o0hWHoLV5PwRXyt5p+Hs/gAZl6jLGfD+Ln8PWIk1+P76VNR/bCYA/GCQ7ycANgD9bR6tGezB5P2DTtrBTnWg/uRcUjP4/SL8GYn0Bq2Ntv29GW1NNCHO/0gi+7J4Uc78OWk67o+Jxv+KTNVc3jXK/Difwykozdr8Bi7RPvut1v/r8q6grUXO/9oYXRMP1c79LAhGGETR6v9DjXo4SQIG/7S8WxoEMgD/fA2t+MAN6P11JNP02tWs/yvHOA2R8Ib9m2G4ZiWtnv4Ujo1N7l3C/QX8q+m5Jcb+lEPa2PV+CP8Pb5igdNoM/niBY7QO1ij9evWKsFCyWP3EmteNPg54/GW1VGy+Xnj9qtfNGaJ+ePxIkLkSrgZo/6KK6H2yMmj+T8RmhO9WaPyDLWbJ8NJw/p7UJq/oyoD/sXy6rCmyfP6114N7mzJ0/DsLTKxAbmj8tGqS3+1+VP9I1NN8cqIw/OVw8Z15dlT93zwtD4Zd9PznMl4Hmlmm/E7hZeg+4bb+F76bgXa13v1i0CESuE2u/f3Qvx9hZVD++s4FpDQpzPwfeSWu2jHI/2nG+SKSaRD/j0Z9vrC5zvxRlkkKeHIC/1LC+Etc3f7+ATSLrmQF8v8CM0QXbhoK/te+PbEs8kb/aBJzHcICSv+D54t7YoIq/IfyIDJfsdL/g/8+DPMQWvwAjLIir6AA/vCcM2KTsXL+0zVG870Jiv7K7YnknyVa/aDFVjDweO7+El0iv5ohXP2EorHTU+Hc/0nw7/VWooD+ZD4yaxXWdP0/svj+6Lp8/tsekEEgqnD/YCgwQmoKbPzAtUhCeNJs/en5II/PYij+XxLmzevBvPyw1IxTDYZg/NFNmcGuNnD/QBUDrttaWP7aMfD0PDpE/YXJjfg7Mkj9wW7RBQKebP1TvbZCLF5o/oEWKcCjwmz9nCI67NrmOP32Lqi7EIZU/n0yyfIYciz9gqJTDeJSRP8CsACybA5A/QmYpM/lTlD+unYnRbaeJP253I25lB4Y/90AF2Yi3hz9JBEf9meKIP55Ossg4S4I/kkTQvv31gz/EsBAawCGEPxqm4MfO2II/JN/g8j54iD+k4gdDxKmAP8qxPD1iqoI/3oSv7GIrfj9zFnbnDV2JPxFZ0pgFvYg/6z5+ssz6gz8YezsurzB+P82AvvrcEn4/XanjZsmwfj8YNRVMaXSRP2O1UOWhv5A/aHNlACy/gT9iCRZWWEWCP25kSoUWiJQ/HzrubAVXkz9WpJZb3SyFP7ZnsqTtF4Y/AV3/J5Z+kz9oYG5EHwCTP/AHFWtVHYg/3jUpC5wniD/JrPbjgHmSP8GYm8tQbJA/WsrBtCbRjT+igbf1y1+KP0HLC3UtD4k/Ob9wDuMjiD+4tL6F9T6IP5Sxwdtlsoc/+pfpTxsZhD+kdq932NKKP/9O5QtAzIs/gMQCcw8egT9nmEPlXYOCP4ZZendc7X0/dJd1S1zFkj/ATnIXGFSSP3heDAAwS3c/6bkzlbedcD9F99veQWeVP25Ixpj9UJU/2ExX0n+8kj9Yf8F8wdMSPxM5pH0FqwY/mIQ560k6kj9uOslemIGSPxn1PlWl+pI/OQcRyX9WlT+G8p75G6jvvnx+vCwDjFC/O+lhqh0QYr8zy61GtFeLP5L6bcAQSY0/OPFCtku3jj9IaBVWuVZdv3i7rhJGgFm/x6HAW6s4gz+1mdhBdYmHP97O54Bp4og/eqXbSRCCRD9UIAl0qUY1P7A1aM5XJno/oNfDCh5/gT/kEa4LNXGDP8Q6JnWXUEg/TnJHAEH2Vz+vdndUBOBWP1FPdLKIeV4/oVEPZinLbj8wdYsMfvd3P76a3C8pGF8/iAaCrh1lVz+V8/5UWk9iP559HsL0QX6/o1CcHyOFcL/rjGr+YK9jv+Sj06ID8Dw/3k1zujdHbD+KWd8hi8VrPyOXni9QRXA/RrVd+ayrgr+sOH6OMMaBv6ClvQjSrX6/xM6xK0XGeL983lz90ht2v9Tebvc1wnK/OP7GtVWTdD9UYzqekv94Pwj3sA0vyHg/76IppJC0eT+VS4hOy817P+4AOgtaKX4/bWIzR8F8fz9HEFzFPDmAP3g2ZZSI63G/FTteG412cb+eCmtc1GZsv6hbDCEoy2K/zVzSScPZWr8nbLPwGXJfvy4anu7NmWW/hK4kn0XwZ79MVVdy4YFlv3anbngfnGO/l2h53mQVZb+qUC/LFJh1v88qM+i7C3k/rmzde+atdz/Kvfhr73R6PzYz4hTV9n0/9L934KVCgD9u4C61x+yAPxCux5pcN4A/jHSN4YhTeT/dtdUawz99PzB0SvnlHGs/otJFExGuLD/tB9K6SfZhv1rQzpHv32q/OQfCdjazab9APs3mwo1jv9VyvxUiY1e/mDnApowQUb+91eOpO8ZDvwghh/Vgax0/7dQ7rp84Qj9MbIfYUbs6PygRXScsyCS/I+ooTWlXR7/S36WIOLVVv5xvoXBGung/2rnn7Cv/Zz++W/ZjjZ4iv+lCp6zKpGO/EoxTYy34a7/eYY36u1Rqv4kF4+qFd2O/Le9eulDRVr+79It+CLaEP2pzzbuOuYU/LzfHOIr/kD9Um/oVUKSbP/TtI0c4XaA/CzTTXA9ZmD9E51g49cSaP/ZsqETBWJ8/SaE9l7UQoD+o2D/04wSgP5bqNf7L5J4/GFDhlGbumj9fhCghVl+VP0QwUcAiYZk/cymRbKsjer82ULwuwR2Cv4aWObYtsYK/hkBbROfreb/IDapzSK9mv1e9ld40f0C/M1K6mGxMVL/SUySo89hivzjGLpfe5mq/YmvDvBGMfb+sMoHqiJyGv33wx8Cw44m/Pk6bmOXqiL+xxezQK32Gv5Sglh5C3Ii/2a51qQdgj7/2PKDO+qCUv5tQutr4FpC/lEgJsXHAgb8E7WKzbwhuv24jPuOCJmW/U0xe65iBbL/a85JAnyprv9b60wn3W2C/9PkIRkJnWr8BAA7Q5YFav9H8TlHc+kM/leEhr45Pez+uAZ3FHv+hPxly1AfGJqE/c7BD7Eimlj+lemr3ZQaYP/nfcigotJM/PZX3QIAOgT920JQx7DZlv/ewG8kYY3O//68D947pg7/c6QnpkregP1DTAfc/JJk/Wo37V5W8mz9We55hlWabP5O61BmpXpc//GTNCcaylj+Lkpd2KwqWPwKVBXVgspY/iszDpsLplT8LgwPnaViWPxNto+KIPpM/x5eYVYLakj+7pTLs6QKTP2xA9ELKvpQ/HrEUl6Ehkj+W4Hzg/eKMP+KeCxiSlpA/I2i0jnr2jT8z4kv5jfiMP8ay5opkPpA/giXWHw3Eij9V8EapAM2IP4xwBBcpcYc/3Rv4qtyFhT/yzbNFwYuCP3DHbfKUDYI/Ip69JIy/hD9qwXo08WmDP4JlrbTQC4E/JGLYTP6DgT8sf8l5SKKCPzgkiY8atIE/CeRYbA8qfj/nrLhvcst9P1032YUkYYY/QCgU8coohj9s7bPxCKKFP9LmArKr1X0/NKSRWmLcjj+7Y4WcHRCNP72Qp4vtSoM/6IxEJXW2kT/MtgcOVfaQPwg+wpo8OYg/MBsh6LXfkD+Vute/i0+QP6xIRb2eGIo/M4lDic7Vij9Y0OI1bUuIP7i6BJa0yYc/3bm1Ilbohz/bckzlfDaEP+4I+1eugIE/4ilH6ZCofT8jo/ZeJ3mKP4BhS9M33oY/bY0LDBVnhz9gRUVorvB5PwZqYFpBjHk/U+Rgps7Kdj9YMlIx4TSJP+byHg/hbI0/pYYzctX6dT94+bvnzH5vP0gJR4M0xWk/y83WXwZpkj/HUphNcoeTP6el/twW91s/BDxyDhQbVb+mwDIScKqSP86BrdoITZM/yGI9tKNhlD+9Ihai0Itxv/0rgpuw+nG/jrXF6U3GjT8zgWSDk7CPP95Zw5MskpE/dEEmDo4Fcr++SFX/OkFlv7MLQPDk/3K/2RsuXlCFiD9GS66ccN2KP+kC0aks0ow/+EakTMnFZr+xUTsPZGljvz2nil0QboM/QCJY9A2Vhj8V1hvUhtiIP8YlJDOIrzc/GPrvXEG5Lb8BmEiQEYx0P0Ctjx1w7Hk/4GVB40rNgj/IRNy3i1AuP38N0C0S+l8/2IiQVxKuUz/wES/P1JxVv9iBlCSFuzS/VjVK/pJybT9ttnmfboVeP+A0nulEd24/0vOBLmxRZT85ZywwPMB0v0df10aNjHG/jLlGMytuZr88a6tVuBdjP4WdLHWaznM/Nj5dWBl0Zj+h57VZvN5jv1biUwt/CW2/w71AZ79DcL/GM4U7nQN0v4wJvru/mFg/iF+mVbgDXj9LPkclwNRqPyHGPO2KIWk/xIgBtQvpdD/K0KIv04x7PwCwqCur1H8/ZiC6YDuZgD9unjBISdx/PxXcXPCN+kK/eMcKPdQpMD87on5cZfdRP7Perwe+xl0//doo60N8Yj/yqZjo1xxjP8Ae+BVfCl4/7+Y996U4Pj/A+WiR8Yv6Ph90WcnuyWe/D6MhhX4Saj/BekvHgUJzP2UdN6sFdHk/DaBkUkHnfD/eaC5AUSJ8P8n7iHWyqnY/7M/QJao3ZT+Sxe3cr1RCv9GVmdu75Wi/c1sjLVzWcr9kVjabUfB1vwsN42ELi3W/7utWxymQcr/azBBeDs5svx5l8Hm52GK/va7R5/e2Tb9iAvtzDPJBPy6liO80Gl0/oFrq07+6Yz/mVj2ylxhpPzcL7mlK9mI/+XIy3etCQz+8YMy5a2GHP2Yf/qCiL4g/l2STPx/UmD+tX1s+4fOhPxw3QD4UPKI/arahxnpDoz9YvLGWkOuWP5Fh92TA15E/yzQzTo6plD+kfZrPPdSYPySCRvdYGZ0/pjmKxOV3nj+bCbGTtKefP704D9ori54/vzMsoGubmj+wEt6QISmcP6fup4a5I4C/HEQRs+dLfr8xlrt6fuKBv9cqar0sJom/UP9gMagljr/ogTyi96GIv83t8j5DgXO/ppKHKn38cb8Pcirr/nh7v7M37XSVSXy/dboMBPq3j7/8oDWXZT6Rv1IG8F57MpC/qiHCvs+wjL8/B/GvyEaMv5U0dLVs34+/mltuTR8blb+Cf2BSJ5ORv3g3Mvs/8oa/LSM61EeDeL9D9m+J5whrvx4vFgFgHGS/kFIIqtbBVr/I+mIhAIYUP5jKxL3evyS/SpLYwH6+YL9M9boPWa1kv+QjEJsQ/1g/TBCZ7fyXpD+Xpj19fZehP8H/O2x4+aI/dX1DNEhslT8+0KTOvIuLP1BqgaGCJI4/p+id8/kymj/IS14hKVaQPx3O2MVyC2U/3rt0mfqdhL9KmP7/8aiOv8bC4PFtr54/GH16eTpYkz/qqwblrQ6RP0DaKkTaDI4/yLq1v7fzmz8iR28kM6eYP9xbrd6BqJk/X4huNBHIkj+upCOa0sWWP028eSnJk5E/p/7hltf2kD/RJRpLWqCSP7XxYJqHyZI/tZUkS3vQjD9ZQiuWgcGMP+vm21LaEI0/wHRWaXLNjT8hHhqCrbiNP+up4AoMu40/ErCSzdtThz+4kqeGUZeGPwNKtwUULIY/WouMFU3bhz9/P5g9RTiCP1IAnSLBNoI/nHoU1btWgj9321SStx2DP3qXvpR09YA/+7dVO3MbgD//1SnCogyAPxBVelUVK4M/QvAfjq7Ffz8LSGbjemZ+P5IGYWrgb38/K8WU5Ioeij/m5p1iccSJP3KgbVb9yIY/+diHUKJBgz+p1q3/EiaDP7PXMukxxY4/4QOkIQ+sjj8DWud8umaIP1vf/UBMl4g/aKYtSl+4jj/LhWoNDR+QPxg44d7Ukow/n6rPGGdBiz/t3VK6YVSLP73dWnBPcIU/hrNcW4WrhD8p27P3NiuLP5tcQj+rc4g/SSmVp2+hgj+rsLQNBCx2P3ZNM5qWYXM/RWztA8fxhD9MWVt5g+iEP+IC9LQ3LW8/8i8P4GGFZz+j97crelNnP5KzRIJY84o/Zd8DgwuNij8O22WqSlNnP1tYdErqz2A/YI/IH+kZWj/31XEn5ZKTP/XaoyGdRpM/Yda+IeCmiz+S5ZPcm+piv7zA2HEJ5Gi/8/YtIy72lD8RtEua2kiVP9ZiQrK4IpQ/5SiGXRuScb/Djd+4IvJ9v/xZ5gHq2pE/vtOQZXKbkj9YyI436juVPz9HgjKOV36/Ci0NZ2mHgL9bSuuZdaKNP+mh4qIsJ48/kuyt2HEhkj+mqeHpiRh/v6rhNusdG2i/OmKK8tUseb9gEcdu8y2KP5wB5mi1YYs/310yg0Iojj+mXIpHvRtuv9ct5AGvOG6/wtPsfIHHgj84aOd3tAqEPzIdtdBomoo/jqpEi60wbr/o17JsfYJFvxYLgeF4DWG/xjHp/w6uYT9LdiW7qDtoP5P1r54Pi4I/hoswWsaHXr++KIznVxFYP0HZm+onyUm/CzJl1IzBZ7/m2S6sv7pXv/NPnD8GoV8/Zm4VduRWW7+O/SwrdalMP0op4omP8mC/JN/stSG6b79gaUchYrVkvwRNZDa46WO/cB84V9ZycL96+93pklR0v3TXeBtN+D2/uMykoG2tcr9LPcfpgHViv1J5h1Wu3mi/eHPIuWVmbb9g9NHok6trvzDrXfT/Z1K/C5j7Vd2DUz9QRTsQEelpP9fm4Bg3bHE/SXV6ljxFdD90vwlXL9xoP+Yt7/USHSM/kqENZNkOYL8kPsM9Np4Hv9qizZ4RjGy/QsjUYAAbc7+8rh4Dtx12vxzqWLb6FXa/NGHA8fnac7+yONi05oxwv07jSIrkU2e/PrsqW7rPU7/GedQ3Be5BP8P7Rk50Pl0/gf9/TnDhXz+cbG2Ow01XP3Su0Bo0aEG/UWAGreEZWL+Ji7Mrqyhlv17Wa6bJlWy/Cz4vh0EmaL/tNQsPO8R0v0vj2BvgRnm/qFoq79aler/MLduZ75R5vx8aT6NaQne/0XWicTv6c78eZpRYR05tv9hBgxwBsVy/SPYfp+Y5JD+wjFygdyNXP8VMVTiNMlg/QVBZAr8tPj+5wa6L56BQv4FFxonLa4c/4b9pnXDUhz9spNzsQAKXP3OdhZS7lKE/7iptdQ3qpT/Mz59B+iqCPxQ+nNV8EH8/oQXpseIFgT+Ae/8pH4uQP3R/GgCI5pc/C29Gjeu2mj9eBkLl46OcP/6zS77GvJ0/dUskUxc+nT8dEkskKPScPwi9fqpaqmW/oGV8HZguh798bJWRf5GLv4T2dGVQp4+/MskNz6wNh79poGuARe1xv3DN62mIoHS/ETD13u3Me78PU1MqI3h8v4hekTYUc5G/NOcVh4ZKkr83aV+a2ueQv9Nn/YRYxY2/q8+gACpEjL8GoVifvRCOv10c0Pi2IZW/vhHDs6J2kr8cnpbgJL+JvzivXU1S23q/RrIrVnViUb+wrcdK0qZUP3pJv5USgmk/W/wJ41ndbj/ykLNcbzFqPylV/AaQVi4/aOafAey8Yb8uI59RJwEzP+kQ3pw8i4M/WeUsMxRapj9wU6YCgFOkP45Ai5IK1oE/YAJyb09qdT/4Dm/kLYRvPwxES1ja0Zw/dg8CYnZllz+EF/fANoOIP4o36oF6Mly/Mrc503p1fb9fRnnc1rKGv7ny6SMfuZC/7w5I3BYQoz/7rCRw2RigP+w77wF5EaE/3K/MGvreij/QPQQNs9GJPwG10rCz4oY/MpKsS9uCnT9IzkwM2ZKSP2dCTXfsAJE/ENkB1MLAmT/bOPwyd4uQP0JwIcTrvI8/4Pny7WXqkD9ScgUss0GXP8atoAm8VZQ/z39ZTN9alT+nRbofGriKP6cVIg141JA/povxeecxhj+CGyxBa1yGP72vGwC2OYk/FwlzGjqOij+UYVyIfWiDP/zaEDiwF4c/bvYdVQ3whD/GYXqVokyFPwjrmUS1DIA/EJafrHM0gD+NCdC/N+GCP+VCTfhtQIA/iDmonbhbgT+Yfs7ChfqCPyQMWz7lN4I/ULzm8dhgfj/MPp92Yx+IP+F3dlPFLYI/wsLG99nAiz8c0Bqpr8eHP6IwWOwy5Is/bi2MgBJxiT+N8E7jp76KPw+cjUsnSoI/sOFrCHeggT9vXqC5JDyIP2zrQ1/+PIg/v+WJzvGCZz9BuagbI95mP6cLLvAEC4U/18bZrtLAhT/kow+XswCIPzmYMinhzGU/fZSnJaY7QD8rcRuDQIJEP5Vj0blFeIc/d9Od9fakiz8gqZyxY1VOPwMfXIXQilU/KAH+VSXNDL+LKfshtuORP2bPpV6tzZM/swuDXNkLXL90ejsCY5Ryv5TxlH9qbpY/rl8d7OCLlj9iLYBFheqBv0o4uTATk4O/SKvrpNsNlj/YdSxBVRKVPyp3nd46OoW/QZIyE/Foh78gzDZg4NiSP2wXkGv555E/5L8GZ8uLgb+39QoEQeeEv/e14T6WMJA/qaYwSZd2jz+0eYmaGiuDv/xw4Gy9W4G/rUOlhj0tjT/CXyHtuW+KP1peoLnPenq/441BbUwIfL/FR6daPnaCP+E21Dtn+nw/w9FOW3UWfL9vRdnGfINuv7rWDtTGV3a/yoQz3NDTaz/OF//wZj9qP8LgSPGOJHm/uMzVY54ad7+7d6aCwbB9v0LVtzYZ+jo/uLU235fuWz8KokyB2EZ/vz3zWgb8y4e/VoUKZLTle7/DKweF5tSHv/OKl6fVjWm/spddGfrdZL8610/Om39GP84IhiyCU4a/2osUBXjGgL98Az10QPdzvzpluyiZIV6/37i4GsbzWz9BUi09p9ppP+KK6T/ZlGc/hs5ORsY6WD/3MSQvLMFgPxDghJCIGQE/1vt+tbb9br/uiKACHGp7v2HA+wJDG3u/hEshgS8+ab99Cq6ZYEBCP6x8siTY1WW/xX/GneBJdb9elXqgXdN6v6wOTGqAl3y/UJJWT+sCfL9T9+H3gEV6v37OwPsBeHi/4o9oMlwZdr90XQLoIoJxvxIsMT82ZWW/YzMRMD8tUr9gikyBiixIv55SDecH/l2/GnnMT/A4br/wMWJI4KZ1v030bIQIcHm/AzUtYhx1iT+Px+tAKaWXP/8FcJB+8qE/3EObyNS+pj+WyLEPtZKmPz2nsjeYUag/oPXD2ZAuO78UXWhx4uN3P0htQjrpMow/gpHh3Bdblj+4V09jtEaaP8mU/U75rps//WDamjb/mz9OwUoCP5CbP4l5LNtDLWC/gnriIs8keT8UxHzAzvJpv8DTsSTzMoe/2mfitQcAkr/y0Lt8EKiOv9W6jI3P0IO/RMctGGawbL/IYmaFX4hxv7P+GovNf26/BDK7hPFGj782cGgD8uyPv06cqGAccI2/5rp7gae5ir8SrxHpfTqKv+AfHvXV55O/wGMHrdAslL8C47naweWRv1CMT/Hvmoi/62/P9e2Na7+uFsbntTouP+B+JLMw+GY/9WPqvURzcz97IlIeJRR4Pwo69S+c93U/mCcy8ATnZj9Kfa2Q8KpEPwRv3yUIXGg/lLwUL+/ahj9ZU2eTkKGnP4TcinEZ66Q/fg9+N9arpT9y4slnGpRgP1jok/l2H1g/kJfiunxgI79Ykubo2XpZv1sZWAYCsJs/pGD7kqB0mT++rTxbHBOTP6ycRIRq+oA/JCd3vgBVZ7/KwO9GZVZqv8MzwMhMTH6/vb4eRSfbir9pZFPsBPShP5SL1AcH4YU/OktcOhqZnz9a8/Sbc3KQP1qlxdgfAI8/S0G86XSchz/VUgYSW9CeP/Ra67fyj5o/wpD8eikvnD9+lTtRnJuNPxEGU5egXo0/Te01dKRFjj8UVb8rvnCXPz681s3WQYo/xvYbay+Oij+cueeEmc2SPzxyuvCbO4g/J9uIw1k7iT8cK4R2RkiKP6RiI5Dx9pE/Xr35QDwTjD9Uvl46uLGOP4nSeC2Yp4M/g6N5CGTShT+zaQz1u7KHP8xnD+VDw4A/TSQG03ovgD/tPaXB6r+DP+CkbLjd5IA/jqVRSBcwgj8kim5167aBP8vxU5Lgqn0/+Pj6DNv5ez/6EQNhe/d6P2zJ2yQTE4g/5thAFuEyhz92DKkWQ256PyyURaM7y3Q/aOrHU8b1fT+GqRTgtZlwP/CYey+Nw20/OGgoS0hfcD9l2W3862OBPz6lyMQQFIA/2+IH3q6Tiz+ESUVpyXCKP4dS+dTrxoA/rpwxQKH0gj/QiHeoJhZ7P1EmzgxiEHs/DJh2NbJVhz+OBh4uV62GP+tTTjL+V4g/PBtfUJZYhz9qyu5H8S6BPzBonIX3KHs/FftJEjB+ij+QlO5aP/KKPzA5mj9jbIE/ymCnjTh+gT8GnNpQqjV7P9wRG4QawYg/E8gluqEAWD//1HJVoIlGP6QaFWLEI4Y/UfOebJ5rhj/4PcpgxGdSv1SgPe3qZO8+gkZZ+H40Sb/HhVhn0siOP3nCzbZw6o4/KI6Elg7uOL+p8r+u7Ggyv6KUSgQsIDi/sCC/2PFLlT/yqRAtVoWVP/8rdmBWT48/vcRSSWR1cr9j6HvkCf5yv6a10AmAT5c/+phrV2Fklz8iJebF/QuWP22ZQjWyPXq/iHRk0Ohcg78gnOF/MfaVP+BPsVZsFZY/bO7Atehtlz/KVyxy7y2IvyOp6pLJx4i/9JHNFNTfkj+EEcksnVmTPxjgBZsNnZU/YlEeUVyoiL9vHKRdJ6yIvzHl3zOt2pA/GuEYWAF7kT+417V4h62SP27jcxT7aIS/suEusX0MiL8hlx9rrFiOP8nSAh7y1I8/mCdPSI1IkT+ksg2LiImHv+5dZ6+opYa/FXfIXa/Cgj84p7N1mnCGP+rlIDl5no4/kl+QfjKBhL+AfMS3MqiFv+ygmnaA0m4/9skRa1fGfj/Bg/mGM6+DPwX6Edf0goa/Wqh6ljuQiL/5ML/kvz2Kv/YuXrxlbno/lL9PVOZDeD9jAXk8NJWKv+jM9dR5iJG/ynT18hkdjr/wgVG6TfuRv4fqf3MXYVM/GFJMW9ezS7/99/PJI4KRv4s1rp1KY46/1JJw2hMjh79c/FIud4t9v+hpiVhh/WS/YA72CZwAJD8jDpHGUXZSP6agdVfYBl0/WtEJogcMST+sY793Imh/v362WUDKWYS/OOjsnbOkfb+eTegb91QRP57bgcW0T2W/MecNhoG2db9gbpNZU0N8v0o0SRly2X2/pJ0A3UN3fL/LoXr9w7x5vxJutXA6Gne/BJh7MUBcdb9WdTPzGmlzvztxMb5SJm+/qgUtLcpeUL9OirJhpjtHv7pRgArs5GO/X+2CccaNd79+VILEil2Cv+gUcTNwboa/3hsUOa4vhb8VxqoYKPqEv0Vpsuz3SY4/66XaF3HHmT/I40YbkMyiP17A1m/iX6c/Ls1+T7aCqj9fsfM+PtVZv5lDr0J1vGa/TNxt1VRmAj/YTG9OYPd6P/5qYWU5Oo0/ZJIJYaEvlj/bI107/xKbP8nyzXrf25s/ykpqpl1Cmz+qnLSCEA6MP8y/fLQEtYw/8PWrnueIiz9uefIMIsV1P/zKICALXH8/TCOXKA7/ar/+s0PjLy+Ev+b2y+YhuIi/sHI2SCSzi7+8lgevrzN7v9L2GzsJvmy/yp2K99IKc7/iQxgbpamGv9e+2+Sjroa/gwdYCjYOhb8Gk995eaCEv5RgUmxVAJC/S/eWgWRSkL+WGaVztmuPv1LGpy6CGYq/KMIhWJvAcr8dPjNlISs+v7fLMZk4i1s/+0IuCFitWz9vxFqn3uZlP9BocBy0H2c/E2axgjizaT9u0JEMmNRwP94bAPFBEnI/jPrRlbtebD8G91vBtrRsP5IPE+p5L3w/7HckcrHDjT+0ySExa4qqP0l4zBwLI6Y/HZY8WCnyRj/m1k+OGqNtv+b3GL+rjpk/8xO0fDLKlD/KB3I/PFplv6yqKN3OnFg/FhqgfS+HYT8D/sTHvEthv8bdysEPFIC/Pc4dg7ZyXD9PurH5pUBmP/C7+LkBD6M/O9NqN+o1oj/91COZFi6iP3adhDyxi4U/6O0mnG9bhD/6iBtp+wVLP9ayALTbr58//CurkixJoD9W4ZNxSKSNP3o1LaOOM40/3LlWWSVSiD9rR/au8q6cP24uEJcD1ow/YXeBgy8BjT+6UD4YrTqNP/LBrgm/2Jg/tvoCJW0+mD/iz31STzuYP98FIGB/5Yo/QqJrUu6WjT/MI5VDthKTPwmsNT81lZQ/NgNY4CPAjD/ZvRVyikyNP8VkN0M5+o0/8qiPrOmfkD92I02tykWGP3pt6Vy/8YY/8z/lZ0wGSj+iLjYkClRKP3SWx1QBplA/pbnG6dQNRT8DDi2IiZyIP/DTa+AhUYg/oh2LlypCiD/55Rc7V9CAP+8yKblZ9oA/LRCDDsUogj/kfYI3JZFsP99/tJHn9mg/qg1nZbUFbz9bsuJSu2NXPxGievD+Njk//fjC97mXMj9gERJW5x1CPx6ycsuqqIA/bIUMFy+3fz/o9mHyQbSBP6Wggw2RuYE/oifyHKH8eD/fSXRxpK1+P6O9J4qdPW4/jqHYTuUqWT9wI3wzhLFjP9Cm5fJGmXY/13POyVVOhz/o8WM6/h2IP9NbyJ/1O4Y/qfDARAJjhD90KmJ41r6GP6Rgm3BW0oE/HNFELEwsdD8NdLaxPBN8P7+O9/JDv4o/p8dBfFU8iz+FsyPKzsuIP7NVYo+xhYk/RAsInVORhD9oQuZoiXB7P4pHI2mgEIY/jNSwS7WGhz8htMWdzmeHP1CgzZisZIg/QJUMyWFmhj+8vMXb+OyDPwwQxe+MY4E/eCSuQniDgD99XVBAfWyAP3q2R+cjDIs/mYnEGYT2iz8JcXHU17yDPy6Ot0vIEno//noDIya9dz8Zakkww+qBP9x3qiskmn8/hsLNsw6FgD+XngbL0EmKP0oqOPgiL4o/Tt70BpQwTz+eopl5n7U1P5I/6QicIke/Sz2k92Wphj/r2riI592HPwsz41T+x2O/rgPrbQ3TV7+AIl+geGVcv5g10erd3Yk//uYWUaAKkD+5it0D6yxVv25pGkDH3Tw/5c0J1ZdRNL8DETPbVtwdP+pciFkq6JM/xmZNlsMelj9WtirqhkZcv9hxxxw2Gmm/uxGBI96glz8Kx+lni2mXP7yUqd7miYG/ZhDFjhlXfr+gPgW6OHyWP4SOIlGr1JU/F94UYTfEhL90hinj4YiEv0c+FcAFU5Q/ZFejoLvTkz+eF4vWgr2EvxCoejFlq4i/1OYE/Qnwh7/cMwPp5Y2SPwYTG9uWTpI/fKLhwP2tib+WmAqVOfuJv7h/SYtZdZE/tZMiI3/8kD9haBrkaBGLvxxQ5BCEIYi/71hGKjo+jL8qtp2fkQuNP5U6qQ5wqos/PinPCpvdjr+EzZ0ZUs2Ov8Yqc82f9oU/ToNrcpjxhT99h5bnmW+Sv6L80+SFe5K/1DOmnzjBgD+0u8mV9W2CP8Z3Pgxefpa/RW0xiVQSlb+l30OkIcSWv1wiKBVVwzE/8s9+eHi9UT93MwEnql6AP5vYAK9qTZa/g2t6u2rXk787CQ0YObuQv5yiQfGll4m/y8fMdfDFgL+in/ELdF1pv4UB/9q2J0e/o86CmgxVQr+aN4I1qWVJv3cfXaitC4a/UGw8W2K2hr+8XTiy97Etvx/AKEIdgWW/g8mf1T+Kdb80Q+k9Dwp+v++IEEZ/wIC/v0/O4aYEgL80XBZX/At8vwQeeaF1pne/PvTdjr1RdL+eZAIdGF9yv7Rlah8RaHC/qoYykxi2UL/uob038KU2v2R6O85MuUu/SREV9ucrbb8wGhjxGCt/v2WB3A8qaoa/eQt+9d79ib93g8uQz7yLvzJUokGqW4q/akYDQP7DkT+FT7e5aLmaP5bov67L6aI/Qq/k99J2pz+eVvgM6n2qPy1xJDdDrao/yBDk5IBrqz9govpD9s1uv6iRHPCmem+/1P+JUKmbZb/XlrFwjSJjP+q7ZwOauIE/sH57CUCskD+biLSqueCXP8GTWcYS3ps/TXmk5nSNmz+qRV3twoKbPwTtVPHte5E/CjDc+Aa5kz/JQX19khSQPxsV25HJcYI/ZEUG8PU7Zj9+rhsHqYZpv9/o/oN4KoC/qEDurs0xhb+RwSAn6TKEvyKX6Xssbny/7wIcjlKzgL/eiOecH4V/v9LT5GYpQHy/PCg1XPt/eb9LY+IDxJl7v/RAgbXGJYe/liwykzpxhb8qsLDTI9eAv45yEYQ12nO/Uibli3RJTz/iZQujvcdpP+Q3nM5TQmc/0asInrCtML9BCBI+GsNBv4vohVEHxDY/fgGjCLRQXj8ifyRrn1hnP7Z/Poh8jHY/tWyuelCmgz/f5xsEzfmQP9d80LKa0qc/ago3raIGpj9FPwsT5h2mPyeVWs+Oa0Y/Jjv1WmB9VD+5tHSQKiVwv9lbXQnnWZs/SpVLTLDblj8KG6bOap15vyA/hXs2qAM/d6EvVZEacz9oHChrNjpyP4E5uARinnA/FqScqjRMaj84pUBLuzJFP+s5TNSfdXK/q3+9heEmfL8/mtdsXJlnP4iC4kmcRUo/3IN/YL0Aoj8pB1YXLU2EP0Qozl/zv4U/7d5Z8Qk2Zj9fCkuVTq5zP9tqhDYbPnM/1+JbB0dKnz9UJC66IBSNPxpAZZp71ow/3qE4b3leij9+Ys15ulGdP82Adrq2IJw/fhuy3WoPnD9Ck4RE32OOP5Hd8KzuZJg/LK/IThHhjj9SKG4XjB6QPzg0yIQO3Y4/yCaX2cyNlD8Ut6snNh6QP67LkOe5XpI/na3MPk7JkD9bKdd7jsKQPyRtlrexl4c/3Sndq0PniD8ExbRoLn2PPwbbB+QwI2g/fRPl5xL4az/6X2T98NltP0EtQEWuIW4/rTGx+RP7aj+ACHNACmyIP5YZga9O/oM/9SG0xKLqdD/caQpbq4h0P9Kidp/iUXU/Rt7wdJRVaT/6z1VdXi1pP6WoEqkjYn4/AmvxY+NQgz8AJPaLAcqEP66k3dXTD4Q/glw4Ls8TgD8qjSKJ2wWBPzvydmUucW4/Li/a9bizdT+qxrS4C9iIP+r969PmG4k/CJlQL3kDiD/uh/C8JtZ1P1T12m70Bng/seM2xgPZfD9u0YH1izt9P+1TWj6+iYs/ivfOD/zbij8VMOGKAjGLP1b3Pa+QxHk/KHUS2MN3hz8jtPKmC7SHP19E56eDI4c/n7n+KzsWhz+Quza3Z/qGP3FW5T4svoc/Vu4j3kO9fT+LEa4YHIx9P03M1YGaT30/Wg+WEqW2iT920g0YF/GNPyjBgFqbtIY/cHKmbkFseD/26OpNj6d3P+bcyBrS4YQ/LA1a/3XQfz+oYIZE+lV+P96gNY6yTYo/VGpI0bgNjD+pcsHntptjP0I/k9nW5kW/cdzfJT4SO796ih/bdN+IP/V5nMxhmog/TQuj+t82Yb8YoH5qNeJgv3Kg53CAqF+/Ke8DFJ7Jjz9kCvF8gDaQP4Ip1zJwQFi/pIXNLyUiTj+yvltzdgpHP36dRc/UfVI/h3OzkbXWlj+FyJnDfe2WP1HNxGK89EU/cjHV5JMYZb9AoykGbetTv8Tm4xfE95c/Jk70KK/vlz8W/JNzJFV2vyP3eR8WTHW/v2RrphA4lj+89TmP8R6WP0N1RCkE25c/LJD5tDl2eL+V3KB6preBv8m530irfpQ/swz0wqzKlD9AXXQ+D8mVP+qXndGPI4e/tyUcrTL7hr/GnD4Tc+OSPyUpQnKYmZM/Xvi+Enl7lD98Ba5OyVOKvxeeUqax94u/ADhaXX5fkT8QYdpT+I6RP4Y0PdRwGJM/zl/xHffRjr+0rDXvRZKQv7XrKqXvPIw/nn0vf4ZYjD9++I/QjJqQPzWglZenSpK/6h42eenSj78web44JFGTv/Ica8A494U/zCLiir46hz8MXZmZEpCJP5eoAygSdZa/AiScgumpkr+aL8b/cUGXv1leiIs4VoU/fjqteF9JhD+socHJrQaav40m1CtS5Zm/OPws9rhimr+5qUwpPZV3P+oGNYLXBWU/UfErTG0ymr+oX/c2ekWXv3mxe3STyZO/nM8QJXJAkL+OO6rDJbaIvzrUQdhMmIC/2HXoVf4Far/u8pHjSZ5Xv6XcKY8mgF6/czl3FgOSXr/XF722ELKGv17Xh65GSYW/CuVUz0tSdb9MhTHViZlxv8L2Gb0Cenu/qQHfUXpegb9NC1zEQ6+Cv2oKH4XMXYG/DI9nJb+2fb+nhhoJ7Ft5v4Nve+gZt3a/xidQnn49db9sT6dt70hzv1riHKLTLFe/j11kTZxvVL9Ef0/oi1dkv9f2gkebc3e/1FLDn83dg7+3LOtV9H2Gv2AKDOK75YW/vC09IoyMir/4NeZCOImLvwO2U+Af0Yu/RuJhYz0Sjb9avXnDZ+mIv/MfvehdjIm/6sh4sjR4i798Y0U4hZWUPzDA5hhJuZg/QyGTDdi1oT9yAJnQwX+mPy7G5iesmKk/Yh/lAaoVqz//grtmNgV3v6QqZOwW7XW/8MZt5PP8db+hYONOCflnv6Iur9VBCmY/lJGLtNSdhT+sVAE5/CKTPwJddqjqIJk/P1h3BM56mD8TKf6+yMWbPzniFp8yYpo/u69/e6hxmj8ds8sA3keaP3vRnPpjKZU/pIJUvocOlj8Wx4eDwwWMP+vcaLYEi30/x8fnxP3sYz9eYpj+GuBSvw7+71+es3G/Po4Yi+aLe78EWOrWRmSBv1CzodNyZ3y/mcIk3gaRe7/DYitwNJl3v/Iiv9HPy3a/O2NA9pKKcb9kSg9lDhVzv/KpuRb6OoG/1ELGYhbkeL+fuEZLYUNev0N7uf1gRXA/7hxj4VfFdT+qefQYzgBzP/3OCKFNtFk/2hVlXrhrYz/vDVLuLIBov53SBvHplFa/D+IF/WbNdr8ybWq+YcRyv8gpUBr7JFe/28upy8EJVz/+uxI3jJ13P6Q4oEAIPoM/kSx4rMAIjz+WGWZY1ImqPwhpAmmeTaU/AjAg46YFVz8E3KyqzwpwP2WPjP4ugWS/YRQOSic+mT/ZO3wBNL6bP+xAGGccJHi/LhsfQ4eEUb/wsct2qypoP+k5POrKqGE/nY2ArlynTD/uZrRU79Ujv1B5CbGRVXO/rcXbGa3ZoD84CHsMJ/yGP5LT88bZk4g/QE88M3CWej+q6/7kZoNtP6OZctJea20/ncj9VblTdD9KWptcCPFuP+3eirMwOGw/kNOaGtCMoD8cU4FXnJueP55x6Ym6/J0/Mb4JBgCEjT+FiaCoNP+NPyjP8K0aDI0/5CEHZlhwYj+9K4obRfNhPxWsJeEjpGU/FvypC3e6Vz+hdVWjZb9nPzKqIsqeA5s/4hNAOsCFjj/LFF1iJFmQP9MD7WykwVU/y6DJB1DqZj8ctiB3sa5KP07bjIaCLJc/noh5V1A0kT8qEROXOvGRPzfenUPBSZE/DG/t1jv5Yj8wLntB1amWP4GKvQvhT5Q/Lok9wvbekz+SZHebzjWQP+Ca45VbxpE/1iZBHY1okD+ONBMb84iLP+7NyIgb4Y0/cLBHJuS2kD9eK9CBOFp4P7ypOPJsyHY/qeVjiLGXez9pEGDr13t7P5Ikl+1chYc/vEDCuMlDhD8rhCHVxWiIP/SGWhP7j3Q/fhBcEjo9dz8RH4LNia9pP8EBe0FbDXY/GLh41QuCgz8EZ/9d5PJ9P2j2cddx/X0/NwPkPscMiD9ipITkpTuIPwaD2u6MOog/vyvqmYR2gj/wQHN5iTdvP0yKzaURk3E/Br3/ZOTqdT9EMJWM5v53P0r6SyciJYo/5Mv+TIJ7ij+u0Rn7aG2IPxYqcCQxO4M/uHaRykjRiD9L1tLG4R90P7rIEFeB2XE/rIVkixKegD8wGQT+QjuKP2Nyp0I9Ooo/4nqGkjhaiz8uzJoLhCKLP55EMSdevHY/ht74okF6cz8y7sWeyNuJPw4N85xUlIk/HhPnDzN/hD/V2ePDkn+JPy4NZER9soU/Fum/CUh4eT8ixLbotI15P5HVfwn6O3U/xYAigFP9jj+Ia4jI9B+QP5s0h2pxJXY/P27Cgu5BdT+TbxXjjGqBP6wh1C/IFXs/ImxW6YcRZ7+llRoT9Ehnv6k7Il41El2/EkqFNwjyaL/W9lXsTtaOP0nHvivw/Y0/UtYKM9U3bT++VMX05nUpv0YdQphCBi2/UBTw3mK4cb9K/JM96H5dv7RNQurYaX+/ZAp/auobiT+JcbazVRCKP2HKiyll3Fi/lfhBTCzDYL+JCXKAvYlgv7UH4kkDSnq/Fd+odA8xkD/eKo9VgYyPP+AuTOC+poo/yfNVW4auXb/PyowEFmNJP5IGjkTUClQ/Kfysb0qAUj8M8SjV6fCWP56JY4F9p5U/zq2i1wfJkj/2G2L9LIBZP2yZKzSIwkK/mDbtF9yrIj8Ai0bNmVKXP/Sg4zW5bpc/Ea02SAoBbL9A/hWdkHhwv7E3bPIG65Y/OL2q1Kdslj9xVjphcQ+Bv95QkCe38YC/FFWDRFwulj9ufdLt0RmWP4q3bj+9aIe/T1n23oyGh7/iIbYqNLmVP2b/dA1Rg5U/MxAihRQKiL+DnpqzCWOMvwt4RYMwlI6/QBq7DGeUkz9hId/CJFmTP/LCdzLhW5K/NqKeiI1mkr92na7ePD+NP+DjzfBPOY0/LBLNn/7DlL/cN+Qq6eiVv+6BjC9sAIY/v51buaaLhT9bjgwkUeWMP8+wznbdfJi/oukqWRUzmb+0EGpQbJKbv/Tbxyz+4IQ/WaNhswx+hD8VxvXi+heFP6hx7Ggs8Ju/CKQqCWcxnr8lvMZxymqdv9bBBPbD428/QCxQoAU6cT/3yj88vPKCP7/NnH48y5q/hHBToWjGlr96dLwbYvySv6zs8wMcco6/mpSREJOkhr+GZUAOful/vweUzkzmJm6/HBjo8FmeZr92C5F+E0Zfv7iBE96UXWq/uuq9b5//gL9pqlmskeaBv29GfFRnAmg/hI0HRQk0a79fPxe0zk92v4sNFbU8en+/znxh7zh+g7+MizqRSuWEv/GEAreXQ4O/NMXMj0+OgL9qReQAR8Z9v+rYsUGcA32/JH+I6lf3fL8FrHAqx3Bsv7JNcHUSYWq/fHktsgetbb8w7b80Q+51v3bOnhhkFYG/2ZAC32AXh7+L105qGFyIv5UGYMty0Iq//7z11hxDir/x8jamhmyLv6js1YqF5om/JLBWqM5iir+ilHKlHK+Kv922GEHDDIq/bs83pNsNlj89dBOW4hWXP9k4yznN5J4/coTVVYW9pD/ah1bRaF+oP1fj3gmObKo/7qRA+RH2qj8IBqnt3LSqP8xLl1p162W/oDdHpQ3yVb9/SnNKx/Nfvw0neL3SF3O/maHCpvgfcL/fYsgwdhFkP3CrODaPM4k/6A6r/JPrlD9midDxVQmTPx66gZfnwZs/RQbacqlxmz9p4FjA/9CbP6RuWT4hzpk/L57vtnAnlT/IV0zCh6ONP+/tx1I8L4I/9sJ7ZDwsdj+YURngdh9uP9dTxfNpsGI/vpq5qdcxcb+vjzmLTvpdP59gplbwYHm/ehyDMg8seb9i2raURcxtv5wHrCCnK2q/Rt9lq1RuZb9ISFR9V8QfP6D9i0nEA3I/BzUzxCXEfT/CuSEfNmZ7P1lbYaGpqm0/IkfM82xQUb/RUlyOBR97v+XlFj8mm4S/x9+bLrI7gr8OuDZYDm1wv6Kc+wYoXTi/P4ETKmKWcT8lW3mBE2V7P/Zmdsj8WoY//pD9I0fHkz/OXsOxnLSkP59oe6IhV6Q/wiQhweclpD8yfcYdPd90P7/7cp5tyX8/SNGXNHbJaj+T+Shmg72VP7ZlmqVg35o/t6qWPie2Yj8ISsG5xDJzP3f7CN3xJGU/UHqkPHO0dj/EPep76upRv0aKnajQ4GC/5EnFMM21eb/qdX0+s8qgP3YvjZH6YqA/r4QcRGnSij8GdxUKQlKMP3LYvKz6PIY/8TbG5luFdT/XoGmD7/x4Pw46jgK9qGg/SD9T52gMYz86Zbw0aWJgP8j3WGDsH50/w6XzLPmlkD9zH4c8U7yQP99WZQ3FopA/2156Zna6cz/t7OCRhPRhPxQvowFQB24/2Xo9G22TTD84FHwhjgabP7Cf8xS5WZo/h9H4Ar4amj/EWTQMddiQP0zjRRS1J5I/YeOXRmt4Zj/MCnDGSj5lP0LAwX5Xu1A/g5YqZLqfYT+Go36RruZLPwZfPvE1HZc/3m5W0ZGnlj83/0PtmASTP/0L0ni3MpM/MTfVVzIYkz/3Tb87o4NlP3d28I9JTZM/opFuNQH+kT8K/meQQIqSPwEHEmUonI8/P9T4bwpGjz/04aRVTS+PP1db2zjMLJA/vhF/HaRVkD+njd6ztbKQP5jGe/C/AHo/797hlT2/fD8r16e6bVuHP+QDl3VKj4c/Ldgv13V+iT+mwt0RIE+MP9EVdU8XVXc/jGdd7edxdz/BBQAaKAd6PxDjOFv1ang/Qex7SxmReD+gQCqZMP9/P0B50L9974s/9hsP5eJ9gj+GSvPb5Md5P6Rm0L7brnI/bAKZ18qbdT9qVYB0nRB7P9zf64apIY0/83dYCPyvgj/ZLN1L0KSIP7FIXmf0znA/OYSRTPJCcz/4ZQjgTKCCPw0SI2pylIs/IV+OgX5fiT9HtXuqZFlyP/Tx0f8PyHQ/c39Trt/xiz/+e7j59LKEPxJonyA6voU/Lia5+1EIiD8aaAIVQIV/PyD5aRViooA/AbQ7dSL1dD9SiVFALMZ5P+1/Yg1YOJE/6Swvi96Dez/AppDZaUt2P2Rn0djwjmi/umTiV5sbjz84gDuU0qSQP2B3zaRMJ0G/1d7U/7m3P78ohU4KwtB2v8ZpxoaSNY4/fly9gvmDjD/6sI/85JhSv9YG4l2uc2q/9H5s39+iar9mPh6sXHGPP+uVvdF6DZA/NtJGZ3WZar9lL3M7TzJQv7T8/ct5PEs/2tgoPts3Or/MPu9Q5zCVP066nA70Q5U/tLPsDocfSz8w+w/s3MI7P3jaIfsxXRU/bAlMjQ/5lj/ys3zunPOWP/9blBMFEF2/nDfOr/MzcL8UGvSaaQNsv8iICr1Yr5Y/zyO3AvGJlj93OEuoevSWPwm5zw2m0n+/YutQ4YnDf7+F/hZIYbmWP7S1DrKxC5c/ap5hHT6llj8A/mpk/cmCv9iXgjaKlIe/6NxhOn0glj/NwmX4aOWWPzwtryiOF5c/0Xu3P01cjr/WmXAxXXKOvwf3dEjLipM/xf97p8RYlD8t2R+sY3uWPxD+5zObdZC/uxO8LO9lkr+9Y86hk92Rv7ph7JxiIZI/0NSjOizKjD+Z7NDoAAqWv9eG1qf2D5a/alaW8NQihj9rDVlMogiDP4VuHfzhQZ6/6KK6xRROnr/0frssQH6CP46ngrJ8JYM/9SyRBjdmnr/RLXH4+2mhvwK3lVXdN5+/7uSkJjKVoL9YKc0rbTd+PzWi1DROy3Y/27tkU/zJn78+igToYn6av5NEfrOZEpa/TzZt5PNtkr+wOnIcLRSNv9r4dYKhXoW/iKipAZungL8pBhA0NrB0v/5PaQQ6+3K/ma/yUQT/c7+2FXXU0IiBvyxU/R36Cnu/sADd4Hw1WL/LNO+T9l10v0RDZL32yHu/BNEYvKGDgr9CguJgmVyGv5ARPI36Xoe/kYr6CMY2hb9RwRm6bGWCv6UD/K+OP4G/5ByzrgWzgb/aZuE2nJ11v+Frwbc253S/juSYVfZ5db/ZV9fTWKt5v+y/MFhEs4C/S8x7s4XIhL9MczflrWCHv9M38jO7U4e/CdqVO6g5ib8WtgwBQgSJv0SRdPfzEou/REksRZCRg7+i3/exxmaHv2YgyhIcX4i/ybzm/2fHh7/jNkca+G6HvyGftetHsoi/H7cjWHmPmD8mhFwiMj+aP7xQumQj6qI/nRXy77Bmpz8Os2mYLdupPyA0QOrhJ6o/rwT/UuxqcT9qYMZ/jpx3PykiImUzoHY/KfblLEcGYz8igJAl8CFgv9V7X0vgdGO/xcTPe65Gbz+CNIyfWaOMP/4Aei08sI4//feGia0tmz/d3CfDhgOZP3mTzSqnqJs/Ge+T0TQmmz8QranvmE2YP0w1W0OFSJQ/sojv83Ybjz/k+dMLN/OGP8rqpaLuFoM//nIt5ed8gz8CKj+ownZzP0gGXzYqCoQ/4BveboQeeb88B1ncpY1nv8hx/sOUTFS/+z80N8HsUD9BIBABuJJjPxz43Vfq+mk/hrtaHnXLZj/6GnSUxVV1P7C/bihV7H0/SA0ZN7bBej+kSNCCllVkPwC25W9Ya9u+32AFRcJUab8JKEZiZj6Bv8lAtjCwK4i/55XewMPxhL+cIDRpZVNxv6EToA14f1O/rZ9DmNbbZj8c8xcaTMpxP2Y19ShvR34/lkp+AqARjj8IvEZE6W+oP590tRcrvKM/TqgFHV0Fgz8ijaWggNCFP+H6ytwo74A/wTyCOAaAlz+D2Xr/DDuHP26l8Rd2dow/ex3FOpu1fT9aOUEyvsmNPx+I83UKD2G/hoztY5Ojcb9Xgbtdxvx8v7tehSj9I3S/dOpjpCkPdT86whLou3GBP22Axj0R2oM/oVIKHW9sfT+MpgwaUhViPzonREHNnZ8/9dM5Rjasjj+M/t81p3KPP1So2nS51os/VuUBq+Slij9oYsMb7peKP2WnmXiHZGQ/QgFG6mQ1Kz+N5hFN5RifP/w3jfPQIZ0/4DZXREbnnD/ND5Z90lCSP/DQfCSYBXM/Jz+t8A5qfD9ptdFIOJdQP8PKoWkWpls/wSZD71PWXz/wCI2hpTGaPzvX/aXOr5I/AqFVNwcekz+6yMjCxI2SPzh+SZJYpXU/NH+PQSQ/Yj8lstUZ/tZjPxrkXdKEbZY/dMFmxdvvkj8ZovdUdd6UP4GA3IvzDZM/Zme1ou8Ykz/aCzIoRUaSP0RU3ILPFZI/rGUDEE3Ykj/luy2G0zWQP1LKij/5oZA/VRZloCyAiT98elHBdy+OP24m8CLDDJA/jq8JYV5JkD+Dn2K7OHN3P6RcsjnTK4M/oEAAl+wZgj+bhmW74USCP9JjOeZ8H40/mpBRz2R2kD/48ehcw/R5P9RTKlh7MXY/VNMCItvefD92F4ZPMSaAP0Nf5N1P740/8am5y721kD/kSYyjbY+GP31wPNvhxHw/IZyCV6BRdD+j6VRjnb2CP3F91kW4r4Q/cJMgBZcvjT+g/r3zBvePP+8ecZzim4g//bpqi+pkgD+P8f9F3yh1P/wh+kq7LYw/Xg7SQN+EjT+VQ8GGqLyJP0QTus5RIIo/0vwXnQT/kT+rnMojkmuSP0aERve5E4k/pNDZx5jEdz/O7MNv8a1+Pyy5h7gyepI/HjBnOtFXkj9o9cWU6GBlP0z7XLeZOFE/PsYfxZPNjj9LeUO04iSQPx9Ky82wjmm/aDmgaf/qar95+Pv5zjWQP85K7Pq705A/YWJ2h9LBjz9+UDaMD7plvy5dj1knr1C/aKqtrIHcYL8v9TKltUaVPyrowXGNmJQ/jD4Th0GZkj8fJBle0CRIv/3ky0ZkpjG/GuYaA2MwUb8WtqVcW5+VP1lpAjm5u5U/lhuryThiXr+6SUyJP8hqv0sN168oMm6/dgQTedfrlT+EwRdT2+uVP5khG62jwnu/FMKcr5rDfL+mRC7Oxd6WP3iHWjMZQZc/4gB1ZcJ8hr+tqwNb3O6Fv1S7YZcF2Zc/p+CCcMDUlz8owp9f05eJv/yf8RutuIq/3mikpc1dlj8bSO0UkMeVP1KYsfmkopC/nSOFP8GLjr/rKlzjQXeOPwAVI/KieY4/4uTRe5C3kb+Uli1lZg2Wv4+DJnLN05O/atAACkQ0gj9NVaH4R5uBPwVAU2Ta+o0/dTM0y3kcm7+MBqe0Esedv6i0SVat9oI/kvREvbTcgT+CPJ092beAP/AOM1Tam6G/qO0juh44or9Acwjqkhyiv8DlTlYxPHw/ZOX21PhFfT9sT2UqZ7uBPyLSDVyZVZ+/UJEp8keMmb+REH38XxSVv7ux9IOUl5G/qTh5KrWii790DRKk+tuEv3rbN1/G54G/Ti5QSwJFer9KNANWC/V4v8yLdbpYJ3i/jpZVWwwOer/IAYHtGFl6vxpBCuR4UXC/kVX5jqyub7/EMBPxyTd5P921qMmc3YC/qZ+MrUubhb/a0EjeY9KIv/mcX9Aeuoi/3Kus7A0ihr8IxQ1rMNODvynfCKTufIO/hor+qCRphL9+fhhGwSB7v36cw8R/MXq/ZDFaEtTye7+gBBoZ5vaAvxEtbou7ZIS/zZt6anv2hb/2QBD1IqWFv6JYFnsLtYi/OrZl+iKWiL/1P8LEguyEv6kpos1ZfXC/IuGlGji1hb+TiFOMJRyFv9I7YwU8eYS/veuknQfehL8nUXiNcbSGv+ARWZo4U5k/fwPqsYfMmT/2Lug7etOhP9aKFFGu+KY/4tXVDiTmqT+fs7eg2xaqP6APoMSKF6o/cpZeXoMCqj/AW2vzwdt/P3UjszNwiYA/Z088IQ8egT+y+d1akKmBP2hS4AVBsng//759pGArYD/RzluR5flUP3DQloLqw3g/Jw8AGrEdjT8ICWZO3iKWPxcwAzqTL5c/JBcgZbQlmT8IYRw1IWaXPxgVw86YtJM/unKSZmdVkD9mItZA52CLP+tzdjZpJIg/XIHmlX6diD/wzK05ynmIP1YCqb6Ng4s/JMGDq+bOOb/Cuwo/hzFnP35/Zsbg0Gc/o4CDYWUnb7+a7VLD3SJ7vx2AaWFd7oG/qCrOE9+phr/Bn3hGQQaCvyT6+U28pGe/9oDdwqsTU7/gRJRnf2RgPzhxSOZ9eW8/GlamSjb0ez+ktbnZ5geLP7eD+NGu45c/A/t6QvXGoj+Z6cMvMnqGP56AUzjpnoY/6wyyuT3ugj+hBDaKfaWNP6FY9aAJGJM/CCHgs49Vkz+ePc6VM5mVP3aMUJfYgWa/ShraJ1RAgL/m4ja7JhmBv69eeWfQiWu/qMEH+RGVaz99wC7uQQaCP0d3Y+O2oIg/Oje7QoYYiz/4tjpRwKKJP0+UOHLl+IQ/9Qa8Un7nez+6ovkJGmZgP1NzA8XXdG+/FxeKB9K7oj8OLeac0JOfP8j2C+xu3Z4/Qw6jhmmPjz9a8WT++f+PP5il9jeOIY4/J7RjHzA5lT9iWjBv1LqKP7plPdIMfpI/VN+NNHP6Zz8i3SBL3MprPyzbtMqak2Q/E5PZnOxPYb+Z1sxdBV+cP1Rt3N3bSZI/2q134jXSkj9XVSBk97mKP8NHguqZIoQ/4GZWq3UaaT8uJoznd/FzPzLWf9w2iW8/wH4k2E7MmT/rEx5xJ4OZP83pDrX7WZk/4rt3G0rlkj8pq9ZhTB2TP4IpRBq5ApM/EMYlIs5Zez8u8DcnuG6WP+eHG1fVppY/kqxUAeXOkj+VNv+TaWuSPyTmzDjPPZQ/vknMr7CikT/0zl1PtNaRP8vVKpc8FZI/lNGxpBiskT/wQaa+to+QP1oFRbvs/5A/57pga5uMkD+cRfLwUYWLP3U/3Io+kI0/OiomUGT+kD8y6gvNpRiRP2MZOaOXBpE/oLexqT1Zhz/QRNGHHWSRP0HhSVCrCpI/gMNxeM2KhD9QNxkUcriRPx0Oala4eZI/Sz1biwXvhz9ySl1QYW+RPxcZLjfHpJE/oQKaxVLLjz+9gRABohCRP7goFs8LeI0/KtFOeNJXkz9WNSWMMkqDP2EloHRPWYQ/4g8bYIQHkz8ef4vwd6GTP+58fFe/goE/qM7RM7OlXj/QqXIF5glwPxX3Rr8nk5I/Wb4e71mCkT/hMtk2XgtJP9ZxYgB+omm/z8unHedPTr/IV/q5gKKRP6CdXnSI4pE/xx/l/zLcXL9bmVokzEtiv5qZ57xYjVq/7OrcwJcAlT8AULv3zCSVPyJmYYfvVUu/K+jWYWdYUb8nogB0OlhRv209XwWPLJY/JAGcOdcqlj/qkG1krB9av3e/FMgmEm6/mA8xhFdhb78sQKpG/yiWP0JTqqjxG5Y/tAXzgFOHd784E/+PjqJ8v6amzmAXvX2/QFY1DjSVlz+yaVa8B3+XP+IUVGdJL5Y/oiGm5VWUg79193rB9bCDvygGB+9EXJg/sAiqLtGTmD/e6mAA8MKXPzIVocAHBYS/RntgU9LXib+eSMcjbPmGvyQmlI7WMJY/jLggRauNlj8lBmXSwXKYP4imyyQQGYm/5pDKTJQHib/ECKHP546UPzAouM8ay48/75ZlMgkqib9HmEJQmXWSvxQb7J/ZE5G/4NTbGLQLhz9+MW8hqp6BP/lJYFtRxJS/yj8NsKCznL/6SZjkRhibv/4+bMw4nX4/WQcx/OP3fz+2Qc38CP2cv24Bmv+6n6G/UbRIXp8por9QQ3/vcJahvyrAq3AHHYE/jqH8Ze8XgD/hfpGeERahv4M9wYdfdZ2/m9mMPIPwl79/CHkDNoSTvxvYrBx3SJC/gliZfGLjir9t2Uie0daFv/OGxtNUboK/c2j9ERSLer8a/BLF4zl5v4SzfMfW23y/OEyWUvn1fr+2A88gA0tlP2Vmn5bDwGC/5+wMlicBg7+sHrPx1pGHvwwsBYECf4m/GG2sGQggiL9X2BAhzL6Fv2tXj7oiDoW/IDHuWhpNhr96sL6Pd8SHv1xjfE5WsYG/BLRdJ9nqgL/c4D/J1uaBv3qkz4TIvIS/0GoDPvXDhr+/sCrD1O6Fvw9DzNZJroO/i9l8bBqYiL/3+qYLb/+Gv4Dal8lZloa/sti0OVA8dr/wwI5crXWDv6VopOZ8M4K/sEwl3ggKgr+tvEBwaReDv7MxGVX1MYW/JgVCFOcxh7/XlKLRkiiePxpKuZDbIaE/VKr51oVSpj8Tq7m05qKpP6hzkzTMAKo/fm9kFbo3qT/siSCK/up7Px60yJEmHno/ol1j+hncej8WX6SZJn+BP34prE5uZYM/gHqJq+VrgD+e0yrNdGZ1P3FI7XXoQXE/h/xJUxOBez/zhejsCwmIP5JwrDX8GZE/EhyzwekIkz/zd1NnMueQP4Us+6hZUIo/YVvDlsBmhT9t5pUDJZSEP+GbZ81d5oY/Nla3vXXNiz+8bnX56sCOP0gdG3wUAYO/gbdnu0Oug7+T/dKknNCDv2Zoa6bcRHu/qQrNTv9uYb8qmNwEbzlgvww6vYatDz0/jquhlgf3aD/aUIYTmMR8P8l0uuObeYs/8mgcx9owlz+wxHKJIv+lP0QuUDEWxaI/Rb6X1yQLoj8iW+nUVLiEP5pmaRqZTYU/tQ/LDhRbgT/KbmXi9TCSP3Vdz8Lc3ZY/VSa6s14emD/3rvJsuIhjvwBhA2OzseE+JuXVxJS5d78lskz4ubKGvwwPZ+Q6WYS/mgaxr7znar9xVTGDES54PwJmJFrMkYw/IWnpIieBkj9486d604aRP7UYP9uI9og/4W4GStP+ez825oj43nRrPwBuGIuPXOI+84yqgTnhc78MOfaft+yCv/A9QaLfxp0/+NdJZda1kD+ZwOLhaDmWPybFC9IFh5Q/i/CyErtDej8lRspD+ZR6P3Ze6tsrSXo/JDjIzeSgXT9+GcA6I62cPxYIXLKGxZs/HxEG0VhOmz8kh2rNztiSP/iipTB8HJQ/06aOw09SkT9GA9Qh9lWLP4CI96ss5oE/4JR9Re9tfj+0UOdwIkqZP5bzMbWE9pM/mgMh8u8HlD9nGtxU6w+UPzRSHgwAHZc/QD8h+Y1jkj/c3/4i70mTP8mbAqg5lpU/oTGIw08llT8K2xBH8FuVP5GEZyw0SJI/NGMwRFghkj/x/lgM7TKUP58wG6C1/ZA/nGnxXBoekj898YnWQEOSP6ETUKlCwpE/VwvlKcrzkT9Kh26Yi4eNP0/P9Z0JcZI/0AD6yexqiz+5CJgGqUWKP62v6wd704o/IARnU9xikj+12Y/Pc3SLP5ZhJrW3Mo0/RR5kjzcQkT/TdqX3rE6RPwK267wX1ZE/tLpuGULmjT/CPyeAaLSNP6PdbQPqs5M/aqYXCoholD/ralkm0cqJPzpk69bpxIY/YMu5gPnvkz/fCP9IgjF6P6y+lWqyw3s/LaSH2yntkT/ReR9+dgSSP011K5CW/ng/ztXSB2yvSD+nEQUUkJZjP7FFy+euV5I/IIVUiUTDkj+ihSTt7uWRP89DhGRG+Fc//E5us3p6R7+Exyj9cutHP2SRvNCwVJU/xH5xTDe2lT+2Ebvpm+2TP4LPPu5czEk/iFf+B9tuBD/ZELJfxMJBPzxj7P9UNJY/ugI1bvXMlj9CqSCC7J+WPzCFcDXiGRc/ZQe0lKKfZ7+a7+RwlP9kv1kIlnP1h5Y/Z+HEFjpDlj+knvscbTZwv2BlJEsuzXy/rzpfCuzoe7/VqK1ExdyWPz7BNMq2jJc/JU5cdeqBgb9PQJ2sqkWCv+xCCL6w8pg/J6GjG7JTmT/CBE6bD3qEvydfbHpaY4S/e/MfO5ycmD8yp3RTwLqXP5JBGBqUL4W/JZeKnhOGh7+7WS42kwKSPzw6Rdi+W5E/4Ts2ltYBj78wpg13CI6PvyT4XRSauoI/lcqNybP+gj+pwAREwISYvxctobj0gpi/G3KKANecfz/Nx86APIF+P78uWSCszYE/lQIn1I+FmL+mfrWRkqeevwz8dUqQxKC/YfmFS68aoL/MXqPFvRWQvwEc8cu8N5C/ei3J6xybkL8XHxzxPDGPv1vWRn+oVYE/2elfn+sIgT8wpOs3Ip5/P0cXf0PwHqC/Ao0qgV6tnr+MCJga8Cibv4zllZgwjZa/aPEZA4xukr/Vw8CpcW2Ov7D5qHRkC4q/90CZwl9Pgb+Lm4o1Yhpzv9uogjpK0XS/E0TgmQGAfb/CEjJQeKKAv8L2SvLFcRW/OFoUiHqaAb8JEzZc8k2AP9JiBEADN4S/TkA4G8hgiL/obDygARiJv+A8UV279oa/kQ5qfspthb/EyU6XftaGv04lLY0S8Im/wxCLgGcojL98Qz0ek2iMv2ONEpOfzIa/rIzyPxN/h78My+xrSgeJvyBPiSPgBom/ChBWTkhbhr//FLxdqgqDv1SAdTDVnoK/FRVCbudTgr826rSbITmHv07Q4X7D/Ia/PfYhu2xQgb/DwBzNDbgevymlgwPDL4G/tk+SstnRgb82PSYIeYeDv+CTX5jOy4W/Tkb3JWHah78IzLlB84uHv7mzz++imaA/hq3UZu3qoT8Ta92ZnpekPw524e+yOqg/oVjaj4lEqT+PvcSfTQCoPwpoTZ3ZfWo/OIYpzjBXaj/+BSwzatxpPyYDjDtax3I/gS58Ej9jgT9oh+tVgY6FPzTGXwBAH4M/Y8yM3leQfz9ztDmvN692PzCoBge28nQ/6ONL4uc+fD+cd+ieYoGDPyxjAtLSCYY/1mXPEEgCgz9QBTj4u+BmP8D0+3sHrRa/BNZa7FKOez/BVvGthvuEP8UWlzVTTI0/cskQM5ItkD/WT9cXXXOEv97PKpGhNIC/WofqOWqTcr/cvx5nVUh3vyi7D9G8+XG/aUJEfJ7kar+gsxBv5ylFv995WxT5CXI/TGaZZvvEhz/exb+gdtWUP6h5xvYiAJ8/6lPtG5Mhpz8w7VbAk1ChPwdQizRY/YU/fLSuXR4qhj9FHI/pi5+FP5NrGZQnyZM/aBUGG5cQmD9yRw+/+KaYP/b6D/e3zWU/y6yJBlYNfD97fbbb/JhWPwSEMUfsEnm/auQW33b1g7+u67dSVVWBv2Bscv2g5GC/WseGTIpPfz+MncjDfduQPzWcZNdTt5Q/5UbLoH54kT/J/zbyKMOBP/ShUTUQ4ko/mt64WNBkZb+6MaG/MyBxvxBt37KCNX6/+6qOQup/hL9aCAqHxG2gP7i+hm46np0/ca78wMXKnT9130yAPNOQP01zmUChapM/PaESVGyslT/6RKi6n7qTP1BAChLgm4k/1P2CGr/Biz/Ft8v1EAmKP2vM+DqTbYE/qhJf0a0VnD+2t7H/UnSVP7oW/1bALpY/7H7DjIoblT9izdQz/maPP7qKF/+asJk/GqJ9mbV5lT8HUiY82weZPz7OwJRISpc/ZOTJzte3lz9N0Znq/CGUP6jJPXpfdJU/bHm//mdPlT9+EHLp9dqWP9+9uPCrS5I/AqOku3D8lD/UpTcfFt2VP+BEwfvWCJQ/BY2M6v1AlD+IDdKJ4z2UP2bSm0zsQpQ/iVwXPArgkz/V01BRBweUP5BfLwp7QJI/T3yNE2aOkz/e6XN1UiOQP/6OpmV555E/x7WkLLNJkj9W99KaOaqSP078Y2Jm6JA/tdNVGLITkj8pWdOroWqRPyAEHUXF2ZE/Wppyxj4SkD/r1PcOZ8iOP0uAo8rT9pM/RQ6y0OsljD85UbCZsM6KP3b0aU3yp5Q/L1WT3RYolT80Ge7TtG+HP/7sTdCbdYc/LZXWpiBblD/1OOVQpgWUP4XqPH39M4Q/apuq4cP2gT80VJbxoPSRP+iwhgsi8XU/HZgRjVEidj9U/icAfAuSP2kzdlUOoZI/NoM8JIzydT/uxHQ6uddkP3pnxZ9xxmk/dkfi3KT+lT/zRGyh8GaWP/adva/sMmg/EIYkY2jCXj+pwVW6BY9iP2L9vfGt+Zc/aK4NE2bxlz/JLzYaXVpePyyByGPs5kq/GqecPdkORb88jgS6qx6XP1kpmz6bEZc/8pJS7dn3V7+qksqQZ5B3v2xYl9yWMna/Ylk3SWD5lz8ZvWjWrPyXP/40zcog0nu/z1LVbSDqgb8831q7xiCBv6V/jxNkOpo/1QFRLAhImj+hi2uKna2Dv9jpWT3/zYO/TmR+F4SymD/YQdA/FzqZPxqz4AAYZZo/n3yWeMX3g79WrXvotUuHv8N9Erpf2Ii/v37kFQ2hkT/yaHE0956SPyjqI5DgFpg/LcW4x8/di7/GJ0QfJI6PvwJ8nLYjsJC/nMx3AnuUjT+ddAo787uEP3Q2jlTHs5S/sRPbkzlLl7/qBqJz5Ld/P321E1myd34/vyJz7zl1mr9guyPtpYGcvwYuXIS1hZy/HoK1svkIk7+WGNgjPoCTv5Qxz2yX4ZO/rPa1V7QwlL+mF7Bw2DSPvwZJ2K7iXpi/zzk4Ce6ujb8gXK/OKHWUvxlNnJpqC4G/hNlZ4qsTgT+EA6Gq9QaBPw9ql7yFN5y/jgfs0Iptm79yTgQxo4yZv/T4VtVGZ5a/MmJHnIwEeL+6T0hL8qtIvykaMc5YEWm/EjhKxdy1er9tmHh57Sp+v3SM7NaC+nQ/d7FoQfcLTj8v+czkVLSDv3Piii/1PYi/TUFeukIqib8l8+gTSYyHv9S0+95fO4e/nXrR+ms0ir9mh0wfPoKOv2bHU24ZtZC/hMGcsR0mkb/QZYHaJwyRv/CJ3d7vjo2/nJhikh/djL+WtCkEY8KKv1gRJ7z9Moe/fWCt4QZ0g79eGg/gLPWCvx1bh8qOpYW/gfaL00YgiL8a8+JthjRjvyEZUYJjfoK/6MePulFLhL8td0Fe4wSHv8CUe5YNpYm/dAJ96UJ+i792yZwncduKv7zM0rNtJKM/E5N4Nw0Ooz+1QAqBItalP5MTfvz95ac/QmaTAqlapz8aKWLT716nP1ednizuBac/k7xdg46CYj9eRGhg3Tw/P07lwlr292Q/UqWrhGTTez/cClAiOYKFP7Z/DOSjhog/w8pw5OC8hj+HNXSSTTJ8PxnkuyxFH2Y/1ckWtmS+UT9IoMgsJNNZP4pnLYSFRle/fOfbApdTb79OyEnhIGKAv36hBX3y4oO/OvO4wGCKdr8uqBgwV8t/PzX2pzRg6oo/ZhpWDSeQjj+P3cLp4CB1v28kTC8vhmy/3XfBQM+bbr9KPYWq811mvy9GarQoZGe/TafsurnfZb+/7fQRiBmEv/r2Ar8WLYS/qvb7sKCqg78jCeakXd9yvyCMdmH4vnW/SGKq6/Vkdr/6yx6/pd5+v02m/rWidIG/oog3Wf6ter8mrD98LP9Gv/Z/XzzBin4/aZEJkjZnkD88g1vZTsmZP3LZhVzi0qE/69VXjGQYoj9Ss5FcdkOhP+rRwZP9OqE/GjxGyd45ij9qeV9g6WBuP1JD5Ij3cZM/bHVSri+4lz+RCmPzZiuYP7gHVOIXV4Q/qCyB75PGjD9URfQ0GAmDP0foc9xDsGA/m57X63QEY7+a3rRavO5kP4owmIzq8oY/m387bqJakz/kelPCWo2VP1hi1xRUAZA/H4DnGsTccT+NW9ADIU13v54VLbxxc4K/aozcnD4ngb/2uvIHZwSDv76DsgWmFp8/DcGxrO8hlD9n0IuqLVKUP8aJ0o8Zm40/rC/zH/ChlT/ycy5EVJiSP8ZpfyQnuJE/GEaimUJxjz82bCTFDDOdP9rBe7Ytq5w/BnOBQVLMnD/pQ2CwwreWP5vawp/fypY/pM+VFRNWlj/R/8qirMmZPx6htU/RzJo/2ie5DWzMlT9oj6tV8GaXP3Jq9Xubwpg/s9tXKlkomD97VUE6F6qXP3wUv3BmWJY/nxqZCkWnmD+E14sdLiaYP24b/785f5c/cRgMO+mtlj8D5xJct1CXP9a0KUkA9pY/kZok/35hlj9YpwwJ/wSUP/0y0lduN5U/ILEMQgZJkT8RJszmS7+UPy7ss78yDo8/NCjqS+stlT8g42hFzlOLP3o0yXOZpZU/r7kheAprij8U+3AfWIKIP9E9CWfVAZU/TCxBlF/hhz/OPjoZOb+HP8j+NYlL3pM/Vuzi22BQkz8FYRIjhpCDP4pH81k8kYQ/WCca1oKnkj8qayTFApqRP1p/pL1LXoE/pB6VZD+zfD/9LyQJIkmSP6Z0kt4BGJI//ReAOdVIdD9An9ygAyNzP92FeYHtY5Y/HQwkjziwlT+f1g88qYuSP0prQaxLv2o/3kOV1AD8aj9cP4z3CgeYPyo230jVhJc/qng/1NKolj9ihlMWGXpqP1i44KONc0g/CUiwBeRkSj+/lWhZVieXP75g46bb/pY/6HM8wI9plz9tWq9N5zE+P2z5UW/p5m6/p5B+S5E+br9wxCVcP/6XP42nng2oj5c/ihS5OIwrlz8XgdDPV61yvzGfVYOZB4C/IIgb3SYSgL9/xcdiV8uYP+ook7fy0pk/a2zMnyJQg79QnWnwSzCFv7Y0Ll3KqJo/7bLNvcMHmj9kI/LyMQaJvxJLRZi+fYm/vvGvEG1rlj/CWyYxHWWUP9ycmsKO2om/kGMxVQ9IkL/XKBDTHmiQv+lRkGdvu6a/gZbz7d34pr+z84MCpjWnv12mOemkB6a/RvD5kpfBiD8GxHJBYQ6IPzVCYR41V5G/SUgcWZ7klb8oYsHZ+N+Uv1YhLuDuTae/IqegRF9BqL9Qnu6ph36nv+JuGlNiHZ+/L+OzCY3Xeb+lIIayUwp3vwq99vIi3XO/hAqg8KeygD9UFJKW6TmBP5gfEyAXuZW/sgJOq7oEl79ZGw6aXvWbvxDpLGMADpe/dODNpN4Yl7+IyDNPhfGWvxpzFTK0r52/SJkxbGT4dL+sKtgPUaFwP56umxL3T4I/zLIxByI0gj+D6NzYkQOBPwkPuRruMpe/BUoka+jEl79GQibOF7GYvzakI504vZi/PSKtxEd6l7/z5ylZpRtzPxIRQMVfEy2/vEuk4Y57cr+PmSjVNEJ0v5IrMucdaGo/bgzRf8VYZD8UdkRiVBiCP+TGqAfLgYC/gAV1bEiphr9wv61qOJOJvyU7Ogwy3om/K4pxZGP/ir9wcE7Je7OOvymmipACuZG/brxm2GN9k7+7sLhXiE+Uv9O53PNjT5S/lg9qnxmHk7/+97TK9eePv52TROXyPYy/x134Npy3iL/BGAZ2/r+Fv1S8SqSKcIW/joC3EQdNiL8WClS1iZqHv3d1Cgbp/nG/hdf9TJzHhb/m6TaokIuIv1bajNHILIy/xhtJCtoOj78DcmrbDReQv6EpKZqed46/o/zvp8jsiL+6wi1+Z2qhP5nWK8vVuKI/Vab3Eki1pT/oiLfq4OSmP8y1UfehsaY/7fAeBgnsYT/DzKp8YSBoP+StVTSTNEA/F31Nf/OzS785jN++Vt5TP919cuu17Xo/Wc9KRKi0iD+XGqSA6QGRP8ynC8cxeZA/H4etAZ+Ggz9jHgaUBA9VP6bIG4AZWm+/XfP5qY9uh7+f5MiKGFaKv7kNozj/FI+/c/0DkMlXk79BcVtxNziUv3j4wnZGOIy/H24I24c0bD9nS84PlGSEP3ajLrkTN4k/yFjSE8D2U7/TWMmMw19cP17HyR2lW1c/3iTETwtBYz/EffwJkFFxPwqrnUGHV3Y/MoVRwj6Pgb+65vNdhCh1vw9ObwBDW0Q/6LrtWp5NRL9npbyH4GhsvykHIiZeRYK/WH9l7Y40ib+WcegkR3uGv+VlOni6/3K/OF5p4usRcD8Ka2jtKKSIPypY4J0MuZQ/qt08hpqUnT/C11VL5BelP3mE9OmAZqI/fJ661jOjij/iJdc1arWKP0hs5YUzS3o/YqpGZZxOkT/9SRHl7VeWP5KZxqeaLpc/9PrPOn56kD8eTjPwcSqTPzArT7pUUY4/tngUY35Yfj8tmxTcu55iP6wqneWjMYI/h0VmW+VfkD+dHoOzqOaVP+Ies4v4xZU/fyqZzq9ujD/A/G5N3dIuP5wCwF5V9Ie/4xvnjbrLjb9O+XDvLmSGv6CHWj6EFYK/upV6U9CToD8kXTsTb6afPyAVcZfX2J8/EmURdwtqlD/mAEZZzsaUPwSbb2xm7ZA/aEAYXvAylj+0NcnudvSTP00XGHNzOJ0/tWSjxvD6lz9KBwUN+4GaPzpkSftUjJg/iWHndnqimT+RF59uTXyYPzjuWEi265g/BdHdIzy+mD+DT6rg8b+YP73NFso/Ppg//R5A6ilMmj/Zr+xHw+aXP7he7Rt57Jg/CB2DtBUEmT8CluaFTJWZP3JsTutXDJY/gjy86jm9mT+9TfpBxUeSP1L9QXXpUZk/6PCLHWBqjz8sqXxEbL+YP+kch1TMn4w/QtoOn8CYjD9MIu5adquNP8UZU5wh75c/a0AFrwJljD8nd6oRaamJP6GfLsvcNJY/2+D6/JmJhz/PlTCOr5uTP44n8JKD8oc//7G/w9dghz/iN3hm0V+RPwlMoGRQKYY/P7KDcK+IhT9oi6my+buQP5EBRRAOTJA/8ABLf9NNfz9qO71vHWx/PyWSlCOg9pA/K87Y8p0ifD/AyAYSK6VzPwZrHjEvRHQ/cCbCBCREkj8WWlIdo++TP4VmBek7yXA/erdOA4aSbT/QpgCi/3aVP/sVEuRx3pU/kCeljTMjYT/LLabJDPNcP+CReNujQ5Y/9gY2ZBNUlj9z64XhoDhfv8MC7YGeiF6/FwgU8KVBlz+mBulZ3lyXPwwholffSGG/zkaZgkR3e7/uLG7MqPd6v14/KuH4B6m/16ZHqgtqp7+9RcO7wkqvv+IPGtGKq6S/XoelSIdemT/WNDqrhH2ZP/rNomiW1H6/fyzu/WNshL/IytHokaKDv09SHFzEK7S/2iOVNM6fs79XsSaDY1u0v7JmKuX5Uqu/X+MfWsl9hb+yqFfdTFKaP93wMZ5eTZo/QMMB0dxWhb9xIYoU70KGv0B/5BEkMbS/vusu9bEBtb8qzT0jsPeqv+UENLKXa4W/FZ0anqYfhL9J1eZGdtBDvyrDQOoVMJU/s5wvQ92HlT/SHP4eBD6aP/pKqa0qE4m/NR3dKo3MiL8BeXmGf9GxvwDPO6TSgLO/egSsxBgefL90qvL3wpaBP9wDxbhFcog/AvGj1Ic9jD/oiLSF5s+TP8VT1d7MxYi/gPfSsopRjL+dAAfbpn6Mv9TFfO0FpKy/kkro4HjDkj9QingqJJWHP+8EU4cutIQ/5hRPIeWajb/WuKRaDPiRv96eVb5LHI2/tGnCGSLRm7/BED9Q33eav7Jz/VjUOKa/ZFqngvdiiz8gD3cmp5eDP6A5yPlLIYM/RPmvPfGGjb96Y0juQSSQv0sAeyBzxpK/4HJkWMb0lb9I6AHRuvqXvyBbbbLb35i/A14JrCSniT9kxg4t5S9jPwBUXZkOhWS/rCRGG4qvcr/lNu0z8EZnPxnAgkScJmw/4hyZ/AK4fj+3Hwl7Alp6v3I/JYWjX4W/VF7G+l7+ir9KfdatP9iNvxEvYIdEIJC/w30w8h/akb/yf6sfkfOTvwpM7+z7u5W/rOLX7Ymclr9O4B0j/WWWvz66e/xAJpW/ltGQVQtjk7/sNbR7UXCOv3JCBFfbDIy/i1IMR+Rmir/lTJb/RTqKvytT+x7DHYC/BflTPLUzhr+mtXqy2a5VP6UHb0TGZou/02OgldF1jr8lRCLIeyeRv/9EHVHvcJK/6/T7MX9Wkr8CHgCoMK6Qv0y+MtYh1Yq/ABQz6XcUlb+bktQ/ks2Vv7jLyauBBJe/Kmjrel5imr8mKE83sOaZvwE5e0Stg5q/Rp5xsxiqmz/wVh3NRfydP0tOV6LRmaI/uqBBLIagpT867HFKYf+lP1iCzty1q2g/XheL/XCPaT+5l0QrADlaP6qLNOUgXjq/TuUjr5otSL/uCbHnVwhjP548pZjpxYE/0r/bffUukD9m2qAEC8GVP8WfaDagvZQ/bz2gVHTmhz8QzPq7HwkxP6osjwcAvYy/9kFbqAqdk7/IWcvl0VaVvwN1jO+BjZq/7lUsljWOk7/Jph+AeIl8vwLxyo33N34/fJkorCMyhT8f+me5l3tdP5QUswxJ62g/a5DSQZQ0Wj/4BCgfvTljP+YQ0SCkbnM/jJdzKbyggD/y/tAT9DSDP0IUyMKemoy/+Ll+Qtw+hr90z0qzOA+Qv3oJ3izBupK//yfvg7b0kb/tie8JljeRvzeaAKI9ZXi/fZiKKIxMUT+UZidEDvdwP50PXtuYAnw/htQ5DqM8ZT8Oe3ZFFY51v6YjcmXQLYK/ImdKdbFvgr8GwX3MWcZyv74I6KyUYmc//S1xYNP7gj/p6wAAZwuQP+tHh/zfIZc/sI7vQnJCpj8wF8RvRSGjP4HsTJ+d8Yo/eORstYgJjT+7yDFREBODPz6/HF2kso4/5MopgcUKlT8e9diOn3CWP3D606Dw9pY/GS2IrvoJkz8OK12+FmyUP/ChyFfyN4g//Ukpxm4xcz/UGBpZwrOKP0ZFcQu7D5M/2xXmrK8Vlj/39kZIhRKUP+qlgq+ZPIY/bGfmGoMWcr8vA6OklPmIv2tq5U6diXm/K1yE3Omioj+p03KoymCgPwT42aw+f5Y/17aEha+jlj/qfB6TlzuWP2y2C7D8HZw/Lnh7om1hmD+mVCR2xySaP2U5PBf55Jk/9DMq90BimT+w6IuNsP2YP98RRUr1Apo/+/D64F/+mD9SwEL2HRGZP/gu30CaiJo/BkdS4y0/lz/Prq3AVAOXP8irxCCjxpc/wnfUbvVWnD/MdS/6nn2UP1hRRGW3kZM/ot2edFZunT9gLCL5Rp6RP63gtMeJQ5A/tc34zBE2nT9FZUQtcVCPP2cjFcrAN40/AhvZ/+Hpmz/8uPgkvaeLP4n3DNQhhJk/VFRMkHSniT97ZN1jgFaJPxs+4+GPtpU/BHTmzb+7hz/u6Jm0QouHPxyDYng3f5E/TJWGvAMVhz8ZMMa/+2yNP0IGgsEZ6IU/EEEjOceihT8KR/RzGbqMP26my18W1Is/HJvsfvb2gz99Zd0IcUeAP7+jmcPoho0/aBvHrPABdz/hwP0YNAF3Pz5HaMojWZA/VN7h/kWFkT+KIKPKUxhwP0wi12+3Q3E/b6NlrAKRpr+R3FiehEClv8bPD+C/Z6e/tAOVTHLTl78FLHA/wjqXvxLzAbpP5pW/KK3fpy+Okz8eo2qdP+STP7BpBljqLW0/49mkMkWIYD8IcG4IyM5lP94O2VMSCqu/OMjyNFicrb/sY05XbL2ev4T82lFdCmW/9JJxu0pxlT9dQwDkYYKVPxL43o9CI0k/pgivU2EAK7+UYAOOuy2wv/A2IAwV5bG/6bn4on6KpL9+hJ7paDaDP/KQmH1Cxnc/7l+Wowy+jD/RdeBAczqXPzttaeo2FZc/ggFOm7r3br9qycfzzQ9tv3M3/sp/prK/Ht3nFi3RtL+YxPn2Y7tZv6+U9e8uBpY/DCFf9QJcmT+gsnIcgtqYP62rUm5dRpc/RH8uk85Wbr90XibmKNN+v2qGdoj5Oni/N8HUuSExtr/Kh+hDTmaFv1g68gkFGKA/PcOjC6FNmT9IT+/LcgWZP4z7vNlfBXe/23Co9sxxhL/w7Y3+BP54v55UWMeLpra/uOChfKVVoj/sbBv/SsqXPwR4Tj8dLZU/OBKWEStQd78GXpn0rZ54v79r9UtaN7W/2OtcDsG8oj/mXsXenTaRPxRLWkfjzI4/JY4i433tdr992FE5W5OLv2j7y9/XYHe/CSvr/YtwsL9OJDMS4KqfP13pKrf53og/wyu/AJWaiD8D62FRhqF7v/6C6DDNtHW/69eY3wv9db/xOApRv/ydv4bYqRy6Op+/N5NG/Wuoqr89BPz76VKRPyHv9MNJg4Y/iPhaETB2hj+Mzs12JFZ7v4WODtj2m4O/T9CIbVrUjL/gvOOf9lSTvxowIfnu1Ja/3UUOtXuQmb9YLDyRqs6evwAvSQoLRJE/3GlAuP3aaT8SG5CaRKNevyoBQIm+p3i/uzCWwX2aeL/nImhSPNF4vzob8WunMnk/OsByk5/xcj+/xSVJVd6Fv261MPDj/I2/XOF+O1q/kb8xgXjC2oGTv5aiKsor3JS/Kgdas+ZKlr8yxMrl/5eXv3BQk3o8/5e/EnQh4ns3l7+znVyPyK6VvwpYzqohTpS/OuV1ftbekL8B8YtReZGQv/s7c3tQf5C/5ajJkZB1kL9dG6Hkv7aBv+uPH6ohZ4K/k7ru0eXqQ7/xmEnwgWCRv9aRALWj4ZK/VjDqwJynlL81L4WuQ4uVv91uyH8fmZS/hBZv4xbzkb9po/Ero/6Lv34HaAF+bZm/b7UjkHaemb/X7ZUOjdyZv3GDs6JTopm/JeeCJp3Llb+6/zzGOfGZv4wmAzrxyZu/xIOB6yD4m7++cAZlQ32SP2vj9FrUapY/XKdK0lrJnj88Tbo4qvyjP3yI1IURNKU/Xy22gStSZD8UcMo5QyhPv3AGuRq6WBi/nBs45s6KYD+1ouNBvup4P6MBmU6EY4g/Vjh+tpRgkz9fTLSucJ6XP94aLOLX7pQ/yBFd+EsAhT9tQoVHCWd/v4UoRjQhy5S/jixos3pYm79H+PmGJIaTv85YWUVWAHq/BZDjhLs2gD/Mo4uEhW6GP296s1O9Lm4/Zd7NpsKGcj9HryUMFjtsP4yJymdj31k/RFiJMxGXZD9ElDGLLQB1P8Ylp0k664E/3XDcJwRxgj+au8Q4mb6Bv48L+bXqSIC/o8fA9BQehr/UppiICNaTvylJ6MLnV5W/m4pBlVHBjb/eLl+pYjh0v8UamuTLN4e/LzG1Ue4Mb7/CVCk1g2l3P1qylCp4foc/wGEWXcTajj/gMNh0A6aHP21eFN/M6Wg/lI7szSG+ZL+v1y/HGidvv9BhleqTole/cZSxs8b1az+hBbShkGl8Pz9MR2tmE4Y/Hg0176QJkD+1r2r4TqKmP4DVwnGPNqQ/CcF0MZS7oz+UMaMODe+jP5Txmn7sEZA/U0IxTX2HbD+yCCfw6tiPP5N+Y53THZU/h/YCktzhlT+dWpwM93+RPwz0Nqfw94M/IjudOjJ/ij/Q8++hIbSQP6a4oiuVRJE/JNUu0uWFiz8y+QJ5LCltPw/IRGwn9Yy/7YVFecKgoD+Ocd86IxmYP3ikIVLWP5A/okamDkCNmz+upS4gmjybP4QS2iBmG5s/EVqdIfgVmj8IyRyEDdmYP4tXP0uAH5k/sXXHcijZmD/KEQoz31GZPxaVbEwfJJo/+nd5nUxxmD9kaNPP6Z+WP8mJtarav5w/WJGqC8bzkz8OoHykTxufP6CDS2DIxZA/SlECv8kRoD/mrO/pab+MP6B++wMxL58/+sZL2vQ5iz8MgNaIoMOcPwtaztIdwYo/HhTDQUs2mT8zkgspEAWJP7sfR996b5Q/TiVFhbeThz8GyZMyT3SHP2QrW5IFJI8/JleuNIWThz9yv74ouqmHPxq6a7h/5Ig/dFM4NkjwiD/Rg0L0NJaIP+84kZPY8IY/92bgdMxbnL/eZ/EieA+av2NdDEgcRZ+/Jm0LHDn0hr8pKmHQwTaCv5HQ6KqvVmu/gauGhksahj/ciSpTXOSDP2+osXrp7II/BZPsaMtyoL/dTsDUKFSkv/QVh8J7iY6/jpdJvnJ5fD+4rDf+blCHPzTGgx63AXc/Y6/tUJwQez+SZ3MiykujvwaH7bEm6qm/byaXJlWBk79ifm5XF7aIP2QoH5gWzIk/ArmVZ1+dkj+gsxwKeD2KP2j9LYjWAo0/eoTVPUKteD9+2cz8dS52P+YJs8EZQq+/kmy//ONujD9bhtjnO9CdPwv2znutPZE/33GG4weOkT8aYkFgJX1wP0FKth7Qd3E/dg4YpMywsb9/yRLQl5mJP774S6iihKQ/4JHIjfWtlD8HiZWOM6mTP4cV4C1Hg3A/4in71CAFRD9gy6TsnZVdP+M80dl3ZbO/owOCpnlhqj8nm3VLo9KTP9CV9mB0hZU/YfNWj3V7TD/xf9G55ekzv9JrYxbd17S/39AA7kS+rD8NGIbv2nCWPxiEKTrBbpc/Tcr+XMXEVL8LR7rycNZGv093W5ZMWbW/Zi04wpfiqz/eqMoFqfuXP1wFMbI+SJc/MpwFWKIIQb8+g6Is32xpvxdj9AFqoyq/2togtbvXtL9aCKwU6pinP2upHor5J5U/+5M1tisMlD+4x671t+xCP9PaD+BNJW6/8LqtJTWxQT94+y9zumKyv1rHopnl9aI/qGesN95Wjz/IFGYt71WPPzZVwhYWUFE/eaUT2Zf6Vb/mfKxyQ7NZPw/Y4mB8x62/5FKt6INulj9GtnftoCyJP9qjmbwEuIo/R2hU+JD2jj+ucawfAutWP+0/267i3mE/VgEn44cmVb+PUOxk7cBdP/yM9Ya0Kqe/vmbsQivMob+ofdSu7mF/Px6ey12pkIY/t+u04+TRhz946K5jds2JP8vbpdLEclc/su2FrKtaXL9ygYxydJZ5v8i/kqlYjoi/8g2cE7Xdkb9ZwXMDTguWv0koFePz35m/KwHw2Xfyn7/yE7Fi/tl0P2+sytMj60+/yHeW4vy3cr/hd8NuNJuAv5r9B4B1v4G/eacSVJNDdT/dDuo5LDN1PyEIfmyQKYQ/RHdZT25zib8bVHs/pU+Rv7AwrRXF35S/FyxSH+njlr/LUEPkedeXv+9asLPuhZi/F/X/0E0Imb/MGYwDM7KYv+YHWoJxV5e/KutAVRTblb8HwGgcG2yVv5Md93SYDJO/VRJUEHKbk788q5MHKzOUv7huNRvyQZS/Egc2EAL+gb90cBfwkd+Av5atHFw+Vm2/1hGiOHAPcT8hxlkyMIOVvyWzWAlbBpe/VB6dnVp3mL8hJqosU86YvxN3h1XDGJe/KWSYH+uKk7/KhBI0+byNvy7rcpPBK4O/7AbgRQg2nb8CmJGcABufvwRPWkpEPp2/p8ABZT9fm7/zNf5ueo+av3QLjln/xJi/1ioG5S/Egz+t2OQ2gl2QP7SBoMjBIJo/QWSKCwbgoj8PlZu8NYOkP4O7aVVGzWA/Yi7v7oCaXz/QLQrSHkwIPyAdpb8skmG/umu8nfYNVj+Fx0lC3+F5P4Qg2Hgm14c/vyDLj4MskT90C4PGLOyUPxZww0je55U/VR4dLp/KkD8mMEVHZy51PyaKBgNR0I+/+JtrDT5onL/ZlRPl/heYv0dYkN/JhY2/jgFlaoQxUr+k53eFamCIP5TcdliDjow/JSj4l+SzeT9eoQVZeItzP1HYo/rBg28/gHXvwgd0cz+PJZd75WZ6P9X73MNoxoE/qgF8/HHSfT9Yg6RV1LKDvwdlReKDxJG/PFgK04xAor9gl/nXJIagv0HTrAKBL5C/PwlRMeqCjb+QQTaQjvpxv2aUvm7WOHU/sjGoV/LVjT9UtM0zdGOUPzffP5+73JI/APAbhiJ7hj94nlynwyxwP5kV3lLlhFo/5nVVQDFEYT87oHprWOpzP4hmzOnchHc/vXny1znXez9NvCVEgLGDP6hPvRgW/qY/r+IZ5D6IpT/dP6hMavekP9zfgXboE5A/GWbr93QSkD91uGDelhGGP/TE4v7AsZM/Ou9w2Cbmlj+smBKG6+yVP3jf35CrypA/z3wrZD5tgz9Qn8AbVQyBPy4zLPg5EoQ/dlWVyOwthD9CJqEGYtB9P0QVjZqiHlk/boDP/xCAgr+p9R8qS0KhP4LdBtlyOZc/oFX4IlYpnj+gSTgWSAScP5K5oH5NU5k/jKXiGRXomD+2eXE6MWKYP4cz6Yg+eZo/0b07tjCvlj9qfLDaKmicPwoONKT8ppM/RIBk2Jtanz/xeSCFKB+RP9euU+7yoqA/TID/UK7OjT9TcFwNh4igPxPUNKEFnYo/dHUoA06snj8PYkobRcCJP59SI2voJ5s/hmGCccjgiT9HmUP1TDuXP9zEIbqSD4k/7zUJKDrJkj9HrN7+Gn2IP3RLF3Td0Ze/kyNdl1ZRmr/K0a+XpTCfvxaaHLAShnq/e6a9m9r1fr96ZXfqFkuFP4TRXxgehYw/T5MotdahjD/5odlRE3qMP9kmeM3FoIk/jHQCIP0Eij/6ZYCfcvyYv6gO6b++YKO/CrpNdmMxgb8wEJnKD1uNP+gCKdipH4k/ASLXYCkOlj/PO7DDVeyEP+HJ5VHKaIo/9SXnOePQp79tdVLreVuIP+mgIT1+eZ4/NibK8y+QgD/+rQjYmNCFP9W44QG0PIc/etQKg0efrL8I2Np5bwuJP40aB0MBjKM/Q2Uyh9B8Yz/1Y+IMwHRjP1bYs9hmiWM/w0qi+9AFZT+y/zqB0exkPyIuekPfjmo/PEzNdaDhgT8Fxwt2+qqGP+5hFkAFOIE/jHtAGVH8r7/wXR5YCSevv/kmGfcNh7C/BP2qWfpJqD8x/mI78OJiPw6BXqhkYWY/vpeGRMC1Zj8ofVVTXg5zP2PUKvEB/II/wsQ44D+Zhz9Gv7Z5Yx19P4rmCT1GsXw/HLI5u/DysL+AE9Ygzvqxv2Lta2pLP60/KHo8zhiyHT9a9FxVWK4/P6+0xOFJOF8/L/SzM9yybj+yJoD2V26MPzdsqZJtpY0/oRWKbWvAdz9YLGPTxP2xv6+6YW6DY7K/4bgOBSBLsD85ZgTAlrtTvwbHkQJCCGA/4IM1o7p0kD8Wgko5KhdzP/a0PR/YKnA/vEFnR4Rhsr/UKCvps3Kyv+4yvAiv1rA/TLMPGhOikD88tshz0IaSP08CT232zV8/ktDm7FKOZz+qLEay4kGyv5KUFQsNEK4/S2Wi1z/rkz8k7FfloM+UP0Z5qFbFOmk/xOs+eKkyaT88ORcg3ySwv/369PHTKac/qvlsxDZelT98I8Pbo8iUP1JcUBWfZnI/ff4bSD6mcj9sl+xk0FGsvxfZ8LwM2Zw/WE7r6YT6lj+SWYZfXa+dPzxaIEoETpI/4eyVppMVkj/RUxd+YFp1P2gwf9a8NXc/fikS+hAgq7/rb6ASegutv7TjfPc0t5K/cZsPBqq3kr9o+smsv0mZP0puPzvnUo0/043YIZl+dz9/g8APGld5P5UobWHlkHk/3ljcuyfVqb9oT9irQPOVv0Df6JmVtIw/AnN+Bg4UjD+6meHzKWGKP7bwwiqLPXY/opBQBk30fD9rBPJdEr15P6jyly1PKqO/Y63042ISor+q3qkUdVCiv2icYQIKQ5a/in+a8y4Icr+eMfHAVjWUvxPIQXplYIk/olXNSNuohz+nSlA6fItyPwxLi+CyKyu/jfxVEtEBeb8JzkmhhzGJvyJPPrzW3JG/l/HnTx3wlb8CYcF7OUGavxI52FiX3p+/6gUIL2+Gor+Y9oIWpbiFv138sXeEKoG//fwrpJDjgb/QfOr+AmqFv7VM5XHbMoq/PPkgUpL/ir/WcKTikbCAP1Yxk/i8mXM/4PIg37NskL8+cJIdXICUvz8aIaLw1pe/UJwY+ap+mb92EtXNGeWZv/JaM7y3upm/xJgRa4M1mb/Ak0KbchiYv0AVW27Zh5a/aNNBo8+clb+cpbisGruTvyy3X+Vn7pS/+1DrL+hklr+4CkqnQ76Xv32mKYxM7pe/yF5ix4eQc79N3aGJMAuCv//Hxw4dZ2M/ayiSvECemb/DeCaWlSObv+6Cm0CwBJy/IM7KTXmtm7/dc7vyMW+Zv6ZLiOPUVJW/F2O+SHUckL/jdcZQ1wyFv7BwaXXWn56/i7SZ1XFTn7+tFoIGhAChv2ZSjw5AjaG/iELrnCDgn79W6jJzPLKbv6MEQc0GmZe/0GGW9iqpkr+MzoYK+pmDPwwhfBqJ9nk/KERBePgiez/5IlhNkd6IP7uy/EN8JZc/gbfaWwI6oj+gpj0iIY2jP2O2ISiGemE/XB5Xt/SeK78SAtJVhSZOvyrUY3IFJXA/BqxPn041hj9e7YrAhViRP56Y22F7t5Q/gNbHQ6/hlD8kEk6cpzaSP6oBarTq9IU/Dshh9i3YfL9ck+9NB7eXv4p1kmxMHJK/fupcBAfyer9CgoSFOtt9P1avxPiaL5M/nq2VqwWVkz9nwSRIeHSBP1YwVtEJeoE/zlKNET9Cgj+dktir+geFP4hkGczhOoE/59M0xKtMhT+frL0TzCGEv0zqnCEYR42/EjQ8RH8qkr/MecyDgIyVv6l4qSemrqK/kJnuYLUyoL8B5KjEdK6Qv+FvmILeDX+/6qLtPYzRYj/FxJRK+WCHP/C3CcnaH5I/gkgnKaa5kj8T8mwjoraKP6L2uUCsK3s/3MxB9NOKcj+LUHjNdKF0P6xkAaSC34A/XeCBdY9ygD9MJ8tq+HV5PypvZaLsQqc/FsKLvedkpj8xDDvwwO2lPzB0RAVROY4/0I0no7stgD9yohXyhieaP6WI+6pZipo/20aMKsVplz8G4lxoFBKSPzlmRreHp4g/5iMPJYB6gT8TgoaAl8yFPxrzjjaVMIM/K4T0zIelfT9yj4lJ9vVqP4qMQVJvkmu/bg4g4fEbiL8QTJ74z/qhP7jy9gaehJY/ehBErmyQnz8NVF7H1OydP1LPIxvrQpg/Xi8Yd8+zlj+cpc6WiZCcP/kOS/HMd5U/1qC9il+Dnj99BTKV3vSRP7KOlvYFj6A/APWb7WjTjz/IzpeUMvygPwb9s0AdUY0/mPjW3REboD+hdPrzxaWKP5jkWuE2lZw/rBz25zw0iT/tBrjQE4mYP8hxvJ9Kh4k/uuR8+Je2oL9GUT/LBQWhv7Js9/KOcKG/vCVTTXRwfL8sofrD3hZ8v7ycHSf+A1a/YvKCJKD5lD+69DQiLOSJPy3yJRgtN5u/O8fWj8l8pb8nc38/UNB+v4SMACXjhJg/+mBs9t86lz80gcdMsoWaP7KO6rvM1pE/Wv845S2bkj9QkLR/24KRP2Qa84XDy4o/oI7tvpX8qL/v4FinvHSPP2gfAPKyeKM/XuyTfK7Xij+iKaINKwaMP1nl4dNfK40/kjg+YoNNrL+xGL1pfq2oP7bGTjUpooI/HU/7nR0jjj9LqgZCP2asvxJOGJ9Diqy/37bTHWbgrr9zTJ9JJOasPwpfZr127F0/r2PgEsxJWT8VssROQfFePxCSx6K2eWM/cQGJywrYXD9bAcjG6T9oP5k4inoXPGY/DPhbAZAVZz+QK0ozocB8P6uW73F27Yo/E072SBbJrb/4oglFX36wv7O8QIeihq4/BRZLuAYJrj+m04XcYqivP2jRQDRltGU/CzsHW1bOYj9+wGrW9udlPwp7EQQHTHA/qI9VJOkcbz8+5rPc61SBP+gFAUq/R30/SmzFmiQTfj+IWAhCqTaKP3KnM7J2gIQ/U0fwWy8+sb+4cM7jCPivPyTOK/BSBrE/ySP9X5EEaD8wrDAkKuNqP2PFSzdJWHY/q7kfeMLqdT+1IhrTcZeDP5CPwt95T34/Dgy/H3AbgT8VSm9MS1Sxv3lzULooybE/S5WXhCqBsT8929cVdTNRP9ErDd7gRGA/6p7DjNTycT+/nR6eUyGFPwgbWV456Yc/i5jJNou7gD+2WxdvRCl9P5IjA4gQA7G/tsH1dHCvsb8O9g1gpmywv+G+0DKmRLE/U/Vd2i25Tj8umBaciTRSP4aDZfy/Im0/KpnaVxmHjj9O3cj73kaJP0+Oi0K8w4k/de9BM+AFeD8Ku1ZkIPJ3PywVSJFI5qy/niXczo/1qz+YjV6hupiNPznLUnppIXU/Dnz6fulPp7/bCQIDdeGkPzT7ghBo9pQ/Nwz7E7NSpT9YvRMWW2mPP7D8f6KTxJA/PgYzwFUbeT+8i3w7orZ5PxJZZtsxiaa/vfpYn0IFqb/QYkx2Rz57v4/ziBbnNIK/Xcxpw63yoj9eKEXVD1ORP95GV9oV7JA/IFWv+YG/dz8v6PxMbsqAP/XRRw/Rfaq/F/QNUmzci7+A2bKQ7ZePP04eQe+yeI0/0Ec2Vee9gT/QwPuO9kODP8MI9wm2RY0/xXri7yHEiD8olFTKD7WDP/3U2aAo0n8/UFnAkekXhD8Nb8XCRECIP4spVcLY04c/jmH7w0QUhD+4gSZ29CqFP5tPf5NRJYQ/rbH1Lj6phD/uRNVUch6hv4l8TnTwtpa/WNHk+p/fhj9q40VIxDSFPxcCvAI9koQ/EAqroeqZdz/kbLoseBo2v/H6ghHE6Hy/hKfDtG2xir+HYGyElJuRv9xXrHcu8ZS/0p2oJ3g9mb/zahT63Suev+PvuPxOgaC/cimT0m9Qn780BA3cUm2av8idh/pM35W/vihZa41Qkr/L59a0Q3mQv01BPXjiupC/VATONrH/kb9KOPmDsBWSv2UcJD3gQHs/4/YXJJ+obD8HCa2poz2Uv5W1WnUjRpe/GgogFsu2mb/K3H5knqeavwWcKX6TYJq/dMW6yLVHmb+sxUnKDLWXvxdxNhFwDZa/GsAQ9PvRlL9TNo1UsueUvzJ0MPWQk5O/3GcrVhPOlb9SyR7vGjSYvwWEb2rvYpq/u8ahfhWSmr+7lpj+BdJ0vyh/hGi6d4W/saziE7E1Vj8Kla7Pgr6cv2tsLVCD+J2/hUD7bGz5nb+iG1/Fytucvyfw45IIUpq/7JL91L0blr8UXq6OTqeQvwksI2iPooW/1EtGQVtFn78sTM2ll7qhv2gFZqRJ8KG/mOyz7ycGoL8aei1edkSav6dnLhu5RZO/IvqPT19fhr++e/cYST+BP2ziv9wLwXs/vCSVx1J+hT8vWfx+U+2UP4KEpSrlOqE/tNHJmXX2oT8IvyKMueByP/Nb0K8oBWs/PDWpnLP2aj/ITlNk6kV9P7TJmlk/j40/So5OTH6LlD/AdapwsBqWPxVMvw57N5M/5wMlOcBziD8ilXTiHAdQP7PQPCzO6oq/dkGIDR+Xm7/Sz7Vx9luFv93imZ66nWU/3AeXG+tBkT9yFQ4wkkmVP4Ipp3jnFZo/fozJ6mM9iD/mMlS9yXeHPz5+FEuuh5G/iNmowhnWkr+LGk95j2mTvxmlZ5CKFpS/8lWZsd+ikb/QQDyxEe2Zv+63bYrqKYq/KIX9gkq2iL/ySFi3BICCv0S7hoInrjU/9hgAPxWVf7+PcTo++QqCP15Ci12k9Yk/PKtyx33Zhj/6YjQGiTWJPwA/t7cwSoI/w7IBJjn4cj+F45qietVxPzWgBAP7HXo/NEpQTVAYiT/bft9dweyJP+puNsva4IE/aEL5OxWDpj/gWIBlGNulPxrsBsO4v6U/iK4sQzbEjj9lPfR7hOaAP5iIpRz4lZw/I/sdgrP3oD8vKT+oe/OfP9xrJmYodps/8rSk0tedlj+qWpD1r2iSP0xlKmT0PZA/+XnYT05GkT9iT5KwZkCTPxyNAY1R/5E/rJYS8sGNiD8WiMSA4NSQP9kKWVEFcX4/R943U2PlfD9wJqfyuyJJv0gSATh4coa/0L/Pmmj3ab/8c8WrindqP5XeVxm95IQ/8C23/QOToT8VJyeIWc2WP/6D6IMni5c/Nt4JySbHlT+EO9v/mnSGP15Dz6Mi9nw/vhYIfg7ZnT8GnFSJqZOdP2atQmDAvZk/WlLwRU2lnD+s+1nhWYmWPyZ50fYgsp4/FmYBPiGVkj+MPbABv3igPxBAX/WuypA/7md7kHx6oD9F7kchseyPPwMtv1TJV54/UI+WNJ3LjD+p1qNdMFSaPzfkbSE1aIo/9el8XU/poL8CnU+AoB2gv+CGzYBHJqW/NmFDJk3/b7+mPmukMgRjvyzdvMoOQJY/LLh3FAaFgz8GCnndKmuDPwTrS/LGGYc/KNRA0TvXdj8co9Txl5eWP0qe9xIC7Yo/YMd+yBlTq7+YYki8jGycP8QI208GtZs/WrtIyZgaoz/qr3xvyqyFP1lC/t8gbIs/FxHpzctrYz/inzkJ40lnP/ZB+0Fetls/KByb0kx9lD93tdqslUCWP6c5ZFtTyJM/PQgqjDf0iz/BOhfx8kiuvxQ4uUWzgq6/eMefW1Pmrr+we/24aSSqP7FW2+fd5Yk/2gbWDlQLij/FD1/u+ed1P46TCtUKnmw/NSPLo/kdkT82WeMD7mKMP0XNIdXK74s/22BET39UjD+jT1++nRCtv3oRFGy9JLC/Vkw3phSDsD8+a3mh8AeHP8MhbdQtknA/hVyFXiBIiz9ItnPJ3D+NP6Us+DRwgqy/VXkjZL1isL8HXsg9ZImyP7XToo+gfTs/kQTjrOMkOb/EbUdcv0c+P+hetdcc+k4/Ly1WE0jYYL8aWCGUwt1OP5SEmmLOoiK/i+7SAVa7Qj+mbjLN5tSEP8UASjFMGYU/H5c+4WTYhD9y7xNSGFWOPwyX2avBIbC/OEe6Blbrsj9upnH0gQ6xP6S/+yFVgbM/2PzervuIYD+w4EZ6rS1YP5QF4WwgT2M/9g3mJUjiWT/ZQ1jM6vV9P841eykJ134/CkITlV5tjD98mKXsbxeLP4JB6Rr0aIs/mH+ZvYIOr78S9iJ4G6+zP6Kw5lZCC2U/Lvc1fXT7ZD871C8fE0xlPywSZthOZ2c/WBuIcG/Yez+f7m8QYW+GP0o4FouZq62/m/K1YeibsT877fBr7bqyP17yf6Wnn7M/ifxv9bXhZT/Mlf+hw8ppP4gBVGdPX28/AHkE1HHOaT9IrsnYVOGCP1AJzNQdCn0/eFo0ljoXgD9ghx/aXv2DP49rlqtgpa2/2SGeLGyZsL+Cbm0uY+6pvwCm8TGWnq8/QeF4obepZT8ejyqLIItjP5o2pvG6JmU/0u08gia9ZD9JzgHge5ZsP6NKwPqSEG8/c9arfbLDgj8O5iMwAs+DP8Qj1AY4EII/sozsYNYOo78uZEEUtFmpP4T0fG+rf6A/RicbqDkaqT/fPL0F8M6CP+fWvBgdPYQ/DZOukbKleD/EGr2Eqel/P/cm++AH1KG/jquq7lT2pL/yPtmZL5FyP9ys1tWyFFg/yjNgvtqzpz+GDVLNHjSLP1JJX4e0RIY/6WXDQSdZhj+8PNyxr7B/Pz15kGN6wX4/JhYi2jpWpr8en/6UVYNxv6rGMOFJ5oc/VgqvYAgvgz/N5gPlUFKDP2nGPhk5aIg/PqgZMPnDhz86WPgn8YOIP54GS/sDDIw/mR4pLcM3hT8ycK14pN2EPwqRvlARsIo/cyM9/kRMjD99r7S8ItSCP8rkXF8JDow/6FmithqIiz8gnnjY4yuDP7gQX30HoIM/AEnqfmfwij/Iq79fUhaLP5jkPlch5ok/BeFUEYP6gj/pPW5rT8SAPwH7BHH6Wok/9Fq9ouFEfz94ffqDStRQPx6lSklEEXi/esxEwoBrh78DdKpTV0SOv3ZpNC68t5G/mkcPFA6Alb8GnQmFfrSZv0NJzoQSSpy/NKctjdnenL/Wbnrz+PObvwKE2uCcXJq/LL8VmhPxl7/Q6oRjGruVv2yeQu08CJW/9at/yRQylL8RNhUL2n2Vv7l+9sWhEXc/u/3yuXHIVD8o6e9XoYCVv6vsre+V3Ja/NAnX5YiwmL+9JGf8rfSZv1s3+BqCApq/oLj3K6znmL/eKlDLgOSWv0Vz9ETInpS/fSvlS60Bk79O0KrS2LCSv2d9yqN6/5O/qtzHBeMTk798oquoXAOWvxCwjCjHLpm/e5yo17Pxm7+uDrD3YAycv6fLwnEsmoW/6th1okqEhL8fDk7bMtSLvxcB0B6POXG/pJWS2EjwST/8eu2OVTqev0TQMX1Pv56/dncDdzXVnb9tlJXtPRucv9sYiGemeJm/3Z6qo3Zulb/KyPRzKw+QvxYHdzrus52/3X1BnN0Yob8K8sQwFFihv3Cys18e5p6/V6REl/B3mL8y+wFJBGKPv/mt5gVK6Hq/WiAd6bYogz/idjwwIkaIPxUz1rbvbIY/7HGsA+GfgD98HPpF5f+EP9khZR0l9ZI//HADp89Dnz9tgfyujvGfP1h9KM0RJYI/3cpc7Kg1gj+kqtAXqh+DP8jPXDp7Dog/rvGTSxJSkT+btPSWyZWVP/4SZvvy1pU/UoIQh0ogkT/XF1KcSIeAP4cfRPMTlmm/nchva61uj7/ioe58b3mbv+CjYYw6jXG/uPJ3Oo/IhD+iAU6KVdKYPzbp3vR8Zp8/1qqNFBBflL/CO9Z5qJWUvywFtOJyTI6/3tB+YhJVfL81535rMQFSv12uUB7bpDK/A0sz1x9Wa78q+r+SJPyAv68b+EOuP3K/0PiGteR6bz+DyQaZid9yP/P5egL0J2Y/h68TxY9CRz8+KeoClJltv9UhVmYZ5nI/JoYnc57WiT/lyIDz3c6NP6ixktGfk6Q/G4ffLC9xpT/9lLgRm+ujPxihOGVgEJE/cGcktTjGhT/yTgX8ugmiP8jBm3gBHqQ/1n8OHvp9oj9ZlbY6YBqgP+wm+rstRZw//ApJ93hXmT8cdFt7bU2YPyMLbpqKSZo/fzW7MrBCmj/8U7z77cybPx67/ScO1pI/tpm4A7mnfT+kNEmW6DFzv17D6amQ7ZC/+PYrRVLLdb/ZF+H6RqJ1v20QT+ShH2G/8DSVSr/vaD9yAKE4m7CjPxzPBAU9JaA/yrvRPIJGmj/zMUksUfuVPyrecqUR1Zo/+mdnezTjkz+VtH8o7HCTP3gxYt+8hog/rbs70iFxkT9XOKH7qBJ/PwAi9Y0DNZ0/BuEcjT7vmj80cPkiI/ycPxhkXkCVSJM/PaIcCUI6mj9cXJBlbQCaP2QyNhfiT5k/rPEcj8h0nD/MHPdL6b+UP8oa+M/9v54/ctTuvom5kj980zZM4VU+P5GbwUgh2mI/+piQNTCmk7/GoFyF8aeOP0BmXkXwxZ4/bKAm/o3XkT+za5aw4B+cv0nsgn12v5q/oAGJcLfhor8RU63m7G5Sv9oeZ/Fk45Y/GFuFYiAxlj/3JRAQvPSaP+ygRVG+gJw/H+2igqomkD8kFqJnWyafv/n++/7Sm6m/unguTjdSYb+Jbnds1MeYP4gbVKvn3aE//fUsawGYmT+qE6Gvv7ibP9PA3F5k/Zg/9Nfgd+l2jT8QFvIQMqutv8xERs6KWq2/q0//0iP8rr+KYvTzL5ibPy6sKMUjHKc/Cja+4A52gD9cQdsmTY+WP1spRrvT45U/ROJ9c6+XjT9qam/5+VKuv2M/oPRJsLC/pTajZhVorT/UsuJ1efV9P4jKLaeQk2A/JNwkQqupkz/8mL7jK5uNP5e301gq9Yw/YdFbPTcjjT+F4jiyb7Swvy2dyrZRZ7E/VOjKh3EmhD/CjcFtvextP+JpKGQPGGq/6aVFfe2CZr+i1X7o6e1tv1LYZkv1CGK/Yr+1RLTIkT8GYrufIlWKP/73vxGD3q+/fmcpygGjsz90KopWRDpuv2YqgwxgbXK/SmYQCkgHbr/6YCUYK7hkv3RhSkyq01m/IXDFtmqzWr9qivj7ZtdavxR8DRep5I0/CqliV8n3kD+yUljZrGuOPyCBA5cfa4k/FkOw5YiYrb//7tCWSN20P862lqJ+/za/hYCJyqrZUL8wJ2rdz/s4vyuIqtg++VG/Nj5VIGPEhz94eY1TC/iJPz3+TK7FDYs/+OBDPBrhiT/mdVjO0siqv/pn2QNb3bM/mDM03N+CtD/tJSVCjTpaP9sVGAoGOFM/8KUDFQ3oRD8t5EGyw8ZRv5hlreDvRIE/GqQVyAG4gz+gTNFkXiuBP3Yl0xA9oog/EhetNg1iqb9Lf6g0Au+qv0TsqmvDTKa/0TUA4cmysz9UqRSmG7exP8Sf3GlkSmM/ifJAFZRGXz+abW+MNLpgP92qczSY410/+TiufmVoWj+iaVQyQDRnP8h1VNB9IHw/pVFXFAW6ej/gHkhVTn2HP8c/yttJlq2/QqgIEM1xnb/urDzmTKWsP/D9J/6DFKQ/OCvjFrbxrD8LZjBocapgP26Y8S1Ui2Q/CiCIaYnjXz/scihz27hkP5rakJ1jyms/QHg2jNWFfT/r0FOdYCd8P/dae/CL2Hw/4W3gpjg7hz+dNJ4FDLGEP55Y3YYx0IY/I9eAsOfwmL8Bmx/LGs2ev6T9ovYPx4s/QiWigtJPhz8kQc3lmc6qP6CvcfqopoI/ss+eEK57gD+A9s/NeMmFP4hq5m9Hd6G/cGuiYnrIez86MkWbj9SCP5OlF75QWIE/oTSjlwYngT/BXW8FK4uEPxzxGZQxUX8/yjKLZJyGhD8TwyhzkkmEPyqwcZ/XDYU/7iX+6vyhfz9ag3MKB+l9P+IiRPZsBIk/N1MiD65MiT+ET0SyX1F+Pz+X2oFiDZA/2zyBvjznfT8UEgAzqxJ9Pw+jETbYIJE/Jt2j7SzQkT8IOkLKEEmAPwpAZQsuKH0/wk6XcacEfT8XiEaODxmRP284YOS1248/RkehrNJifz+Hs3mTLAePP9jvjuWfL40/XlF8XKi+iz+gHk8bwSSMPwPJikEvzos/rEwSD+kxfz+Qas7ar0d6P1QDPi7P1YM/pte02Ty2bj8SOL0z2X9lv5r7cdjLCoC/dMi08kOphr809CzNWWeLv4QnPfXNwpC/aOA+5SE+lL9Q/+TnQlCXvzMv6XFSuZm/KAqzgWfCmr+baPJ3DFGbv+TEZRplL5q/o+s2DpR2mL/wTwwTcIuXv7KpVTMqxZW/iCBoUcOsl7+mBs/W3uiXvweQE4umj0o/RMqagwB1Wj9iB6cNZgdUvzfc0OuzbXk/tOVAhrdlmL8mFhna6CiZvzRV4S8MRpm/qQqYzsRUmL/B+wibJU2Wv+6M+4HLj5O/3Wd8MlYTkb+iyjidKe6Pv/sZEyntuJC/ThU80n0Mk7887r26HpiSv5HRFLGCDZa/IrOvf4K/mb8ILelq2Zqcv2AhC/A6zJy/3MXEZLuzjr/PMV5BbOGNv2rcnk4zUJC/SPqkaoNugr/J99JCTvhqvw75E703C56/QgfEFrmmnb/aGfxMWCqcvzJkzOh0N5q/c2uBJpCfl78PF76o8uSTvz4JCT4VXZy/Vdw+rduGn7/BKNGE7Tmgvx7UfwWXT52/00WArNhdl79haTXkZpOMvzI8siuzg4e/JtX4h9RXhT9eO3rNj8+DP3wjawjieYA/Hvb7G58MhD8ekiTNGvOQP9/AAa2uI5w/7LOZYqzRmz+lIYciPfSGP7oShJe5fok/jkCx5d8ZjD/E6RLHbpGNP/wpZOLgcpE/dBIDinD3kz/Yt00L12qTP+1ojVYf+4s/iDSK2kEhcz+KpnlQ30N2vwp5f6PYWY+/AcBDAN04mb8Lw1AdnWlNv4eaGk+a14w/GE/1F0KGnD+CBUuyXMegPwPJEIhnQpe/kJ91X96Fk7/y6mJPBo6Av3k10T0W+mU/MtbYpvkpej9LgR59M4KAP0YqTxV6Xlc/TruXkXkkdj8vBY7e22g2P2E8HZoXcTE/aLL0AYP0MT+TF4dg4uItP6LoaD8nClS/uNicmIibhb/nIOi0KY1+vyD0l238GjE/uJ3InwgmgD/REiEvEZmGP78YFm+g6Zs/vmrkUDRtoj9ew+HaQdehP1B1IC4dgpI/60UvivQxiD85j0ajGA+kP+UF75jnqaU/xgO7B8t0oz9+7/sdTBOhPyRaXE3K8J4/9h7DpB7enD9m8LuIINycP4adp9pOtZ4/C6YuswJinz890innIaOAP2xTL+da5Ic/ZgG+hDIAfD8qkX3hu6aHv8PBZPDhW5e/EcoXkhX0cD+5wnc9/5dHv6hzsPp+JG2/vx421u9OYb+U9OVflzahP5/1/RCabJ0/041uJViwnD9Eq3abRi6WP88YI2C8R58/DxrKJ4wUnD/CVoPz+h+cP1LGqp2Df5I/mb2QS5k2kD/Ivl+L7jiYP8po9B33BKA/tqm89wgLnD9yCsgH43mSP1bocXtZbpg/Z3Xu7Azilj9ieox2RFKcP8DSX/iuT4U/YTgEtb1wiT8IfkP5xZNEP8pinvrScpI/tXH90GynmT/hgqg+wAaZPyBJ/nPcVJc/NawlMlnsmb8KGeJvZfmYv4SGWdWu/KK/JmXIFDz/cT+4suuqCQGhP+svgjefSJ8/jqBFeYbooT+oc4jr+nGcP4/wh/gpgJs/S1ux8BzSlD/4LM+hXcKav0MHfaYCQaq/3usbEJfgmD8qc3jRKI+lP6+GlXcGtJ0/rTIskQtLnD9Woewm+6aTPzmztfUtQ62/8yhKohO2rb9MBWJUDe+uv2AbOaV8j6k/SGXHFmpinD9iO+zxVw2bP2eIZ2sk4pE/hk6ZocYErb/GgvwBvuOwv2THNgNHEq4/IrQ862V+mD8WUPc5WwSQP4QY2m4MYrG/bLeSGhTEsD+io12V+hqWP8V9ecLLnI8/2hpi0FLtjT9GIbgZLYqNP2+HbVwlFLG/FvrkDfwYsj8F1wd2dLOUP/QdX5YY95Q/icIqIhWzlD+8ryqhkwOLP2gTtkJbwa6/zzbBSnzvsj9ssmsdqIt1vw7GcwZ0EnK//a2Y8y5edr9o56pQo7xbv5tM1oDsDmi/YcYggedNkj+8uPef/5CSPxWVOxk784Y/YAbpbkFhqr/ZMeovmDezPyobG2N3RXm/vPEGL8kqbL8i4LN5Z6B3vz4/zlzfZHm/4embUnGfW7/FjVy42dePP6HYhqSv3I8/F4Uu0T7Wjz+8MRb/4JyFP+rL2VQRTIY/Y0t/oHDZgz/uGcznAOalv6US/N+w+KW/MKSF1ueupb/3XWXVXvmxP2mdUavQkFe/e97x5Vaadr+bskTkOW5zv3NdikSGFG+/ISUBuL8WUr+Q1NSM+qCIPyrFtJb7VYc/xeqA1UpFhD98DFmc35yovxygXAT8NZW/R7oApTZ6sD96hoNZ/SulP/iF+9jtRbA/WF1VwXt+IT/PXSziemNBvwDz6wxQhdk+9GXfUm1mgD+ysOozcy2GP/YKy/Hqr4+/hwXia6gJlb9sdNuA26iYP+oqF+/ol5U/VuAOC1EOrz/BLNVzPFJUP+x1454EtFc/wytWbI9bez+ebsbkSUOAPxiAfUsv2Ho/2/FunN6xhj8ab4bRjnyHPypWGaA8GIc/jdFRcBHxl7+kxOT6jiCQP0QsivmnDH4/6r4SVY7Rhz8atJx7uxWBPzIUSmBE9n4/O6E1FA9BgD9soo7J8E6IPxY3NAg5sH0/eBeRjk3lhz+n5iC39vSEP41IhOySW4c/rwKoTgsyfT923kDjVit9P4CCXZjR3nY/l+Z9rvpriD+Zwys2A4F2P4wHDoIMVXY/k+Br+tVRdj+oytaexgCMP5hC6miY740/Mk7+PSNHfT9oQXZz6yd5P5SJQOZPZ5I/iUIoFQprez9u8KNxLbJ6Pzh8B9h5qXo/Frm6sIPfkj+Db76705KSP6nl/nhTKng/5hupSC4Hkj/KrFy2jmqOPzzg/kmmsI0/HEKjaX1sjT+eTjhixNF9P6dw6NDQmHg//pk/0ctBeT8iq73ugv+IP19vKnuZC4k/dTAWxQZRhz/SuMSjxm95P6J9zIS7C3k/ywi9j/S1dz/evuAQfcyEPzi6T5lhk3c/YCBw2KAmPz9QMPbjq7tyv98bpBWWNYG/UNMjbHbLhr/hf3Xe9/yLv8LlGXh/9ZC/n6NK+yFulL/MGUJRjM+Xv4TFmeiSgJq/zBXjJOgDnL9zMrhhxrebv7+VJcuCmpq/Pb4I3Z3cmb+YIOYwOMGZv9LjSYgwVpm/P5S3qDHLmb9M1CnQxqOZv7fv0soNgFu/Ii4EWKLPT785DwnWo6Jgv7UP9qkTN3E/AbB5a+d6mb8BNfoLJ2+YvwvRSyQBd5a/NwFpl++2k7/ftQJWOrqQv/U0uCD54oy/rFaLWmrCi79m3ctwjcqOv/laietzXpK//jciP6p/kr8uPjF5eYaWv+c+B7oIjpq/vmRcAUwUnb8V9k7zQxidv65n7lHra4q/ZbcMxMt/kb8nRtg3kY18v5RQZiPBPZ2/FlrvHMzsm78lnf6Evwaav6He4Da43Je/1vnhJ8Arlb8tJCQmSMGRv3lK2ryfXZu/Yf4ojU5am79f/KS5sQucvxVZciDrD5q/lCX0peZrlr+O2Uxi1D6Zv7SZ+X6Xuoy/hhZh4kbNcj/m/a9LPu11P7Uf5MBnxng/pQ3OBuEZgj/ZPTGnHISPP0RQJy2ERZg/9unygPeHhT/ktGjL/cyJP8ixU0NwBI8/3a2D6HNmjj9PlwfbtXWPP9q+HV4IVpA/tH1ImGtGjT8gvdEl7lSBP8Ar9vI6/RK/1iRF7dJOgb/tmZepQxGQvwK+Qtamo5a/SbRrPSJXm78tLKzouY+Vv+YF0d4yEIu/NE4HK69fUL9KCbT33G6NP7q4mlyFYZ4/I2V+XvPFoD925es2oS6YvyK2pr4glpa/rt0NR8tXmb/hxeGKivGQvzwtSh4VHWm/Nle7BrF/fT+tbXY5CzqEP+pT6phQrII/BnY4PQWTgj9YjTCpb+xYv70HFqpSK2C/xKZTv/GgZr9ouasU4CeMv0VDF30jroy/1+yfqPcfhb98NRael4lxv+n5VonZ/VU/4RdCk2iScj+JvqFfWyGaP7YPqILW6qA/yCbJCM1roD8x9u2lkj2SP9OduXVdCIY/sE+udRMzpj9Q7wWRxWymP5TnXjU0QaM/cIzJgKzBoD9OerfuJ4+eP3VNORkX+pw/93f2LDJ1nT+0sRWZXo2fP3YVBcPSDpQ/DGRMkqDtVD8aNJ9uCMaTv+Bg2LFpdHY/zIAmzFpfVD9HfFCV0alOv8R9Z9AWTla/xrLZbxaRnj/DSUWt9uCbP/ZTNKwJ15w/4p1zmj+tlT9sbEwlb9mePw3vKxXUGps/UJPKa4XXmz9Vm/xN4peXP2gcF59lYZc/+Zvbt+xTlD/67GaPadyWPyilYDWinKA/kKzThAPTkL8LjBG0Xr+Qv1G6nqCQFZG/epEXeAcclz9BdrwfiaCcP3YlPdEDz6I/HLfKg7wllT/yxwMHApOeP5j7xXxyUJi/EhrGkXIWqr/GOz6ehWukPwGyYjn4AKg/oZAChN9GqD8rw/D24z+WP6w1ven755k/7w97AlR8r78ANP7JY0evv3ZfLajnsLC/sCwZGgIfrD9wGhJchAl2P97lPSEnHnk/JI+Elh/+eT+I3tyqOUF1P/wqqLBMgpg/OoHl2VH8lj8CgBgYiIGuv00CFdqNwrG/fOxGtqV5sD8ECHeyc+JzP1IxOrerqHg/jt6jbZRqdT+frB6ISYVtP0SJUMcfQHM/8AG5d1QCmj+NOtDWNRyVP66HuRcrvrG/4KuiqXm5sj+b6H9uhyVyP/HUKrGPNnE/6unMOptncD/6lQzmImhzP9DOwRNr0Jk/40GqgghSkz9ufKsCZWKSP5Oe9DPBVZI/+stQ4VuKsb/bTb+1F9+zP4TsYNFZxGc/CUjgxsSWaD/8SJxLEy5nP3MNcx5/dnQ/wMskgX3TdT/If/jfA5BzP81ljo5Cipg/FlJ+tKjUjz9ERtjGz9WNPw7jQ+mDabC/z3pqJ00etD8eap/Yzp1SPzRAagsA5ks/QWVfNdzEcD+agfPIFX9yP2y5fIEQwXI/kWtRrxzflj/uRTNWf0WYPwwmRJ+q75Y/8HIKCbN+ij9b8yBlm02tv72mKceOYLM/UPZIVOsuAT+hpj/mDINjP+JQet64ZJU/j4snIJRuiD+ga3gMvLSnv6Y65OJtFrE/cMeX3mQud7+jDz8nF5Jov1jlEGFFN5M/l1cCpqqnlD/1JifFY+uSPxleYwSI/Yc/FcGjjynAhT+flwNIbkmDP/IaKZu+XqS/0gANSGIcpb9k1QpValeYv8tVIWtthq8/DHRG5eyjpT8ScuvigSevP7zI4Crb132/+LF0LhbnjT8qkj8sFB6BP2bMAlfQf4S/Th4FYvfBir9GrEFIcribPyrQQKxZBZw/wW5Lt/dBsD/4iX8rhyKGP+nLdK3hFYs/d/P0G8CJhD+pB0Z6CuiCP6kKneCxqo6/VN+LihDJmT8Vh9MZKGKAPyWMmvJY9Hw/NShu1Uobgz/Efrsa3c6FP0xGoaf01YQ/iPwFrCWNej/E1VlK3e16P+QmdF1ywXk/JSws4DishT/3AQiYCFR+P8TtqPlTpHw/z/ahg2QRhz8Wk3Y+2m5/Pxy3235gHX4/be9L9TrLfT8rEgnyEkOHP0AtP+2tT4g/u0+32+d4hz8v/ZY6zpt9P4Do2pRqIHk/QV1m+AggiD8Ohna/2dh2PzH5ZB698nc/IpdIgXW7dj/MH87em3eLP2B2msPahos/K5cy//W6iz9oVafP+d95P0PBmYXbXJA/aimlOurifD/C2BKYBeh7P+7YEmTkPH0/VnEfvp45kj8Xc5GC6NeSP+Hx1R3GTZI/gCH///Mhez9z7ZqBxoWRP8lW1K6ZsJA/kjAKNIkIkD8u9OY7OY13P6KN2+NqWnk/zvMPdlcAdT8OCD8mEmmIPwCtmIUJloY/CN4YXcExdz+sgXVQcxx2P3iqUD9MMnc/27qWih8ohD8DIZfIN++CP4GY2RXdoII/d0pRm5zIeD/uJ3fbz5d5P2S6QNkkT3g/nGSerd90gj/m8uWju556PyGtc7JBWmU/WSaWenNnY7+XoJcR8Mh8vzeROsV+Q4W/sO/90xMqir8uoeDIjmWPvxswImDbMJO/DVBGdtgCl7/eOX1q3XWav1tgHNOUspy/ZEyDiO8Enb/Iv6fDMaKcv3zv0VgBbJy/8Lx4ij1BnL/pAUYkgpGbvwor2yn1qpm/ildQIKkPmr+823FWhFmYvysIUx7+dmE/2XYPV/LHar+zNSG/t7CXvzAn3T47yJS/RyfGkUrCkb8ykMFra0SOv90PVXLgsoq/oJ4vnRxOir8qUK+pJxeOv9u76nTGcJK/jKnlUwwTk799HMCllG2Xv5I0JldXPpu/qCgje/sHnb89BdF2NNWcvw4fIrB8Qpy/Rt1YgTrtmr9h+YL6O4+Rv9hqTdW8UY+/HzJlgio0kr8QuwgO9E+Gv7qnfKUsYHO/1viJcH4xmr/Cl5AfxgWYv+A7X2xHmpW/UTuBVAvIkr/RuwWZqAeav1c3ZlgTlZm/xFwwE/Yge78hdrn3lv17vyLZ7NCnMXu/MRREIGWVab/Kxy3Qb9Blvwl4UNeMk0e/pBuRZ9YPbj/dCRpPoyhYP356dLoMKHE/quWSPoBsgT/e1DeuoEeQPzmbXTr7tJY/gZOwD6sOgz+Aao7fsUSHP+qCab/8Y48/Du05REU2jz/2MklZno2NP2q8itr0ZIo/wBQPpxCrgz+yE5hqzq9rP/jGkDwNQ3G/YZIAVP80hr+oLxp9AB+Qvx8vBVRvoJO/wIOAKxJAlb8caXktaJOUv1w4cVwfxZK/BpyVa3zfkL8LrGzJ7b6Kv5hxmr3JUnG/ALEA5Ie2iT/fMN5DYSigP1dXMkC7o5w/mhMoKgABlb8iKkNtq9CKv47NJRlvVJS//HvRW+3Jlb80/3HMkbeIv0oLxqBA9kM/kGnX3qg+gj8O4WsJpOaEP38KKW/liYI/T/QY2LdDgT9g1SmgzTZovyu9arUHAme/goPbG2YjbL9OuAgu4xt2v5TCyTuac5C/n9Qmd0Qckr8zI2l5cAiQv0sNtOifLIe/x86UHylDmj+9c7y6qJqdP0SRBx4Wzp4/6yEercomkT9OtfXKpdCDP7aa6QmQDKI/t9y6J0jqqT/ujSbE/EWnPwrbhpySOaM/RAIit5+koD8qJibt5HSePwKOQNUUFJ0/AiUbfDzYnD9dnrz85WGdP2ciceR/hJQ/nCG53aHlmT9EX+AW1kWOP0Dc4RITlXK/Avsb4FM2gD8gVz3c+xh0P9CgW/6BzGM/77t7WukjED+jVmddKxebPz9+w2Cf3po//e+ExPZAmz/if6MCwDmWPzyUr8jO62C/SIeSwAQKPj8ZTJvu3BuJv7Vtt9SxUqQ/8CU4JHb6pT+cl4/PchWsPy9kXJ4d/5w//sZCxkM7mj+L7mgjV+eZP7yFDTrXsZY/60r1V4BXoD+OgfSN3GCrvw/nTtCXGKm/8QTiRN3frL+ofBdA32auP7PvNvxlj7A/EML/rrqRsD+e8CCDOkCUP5IjwWJ72Z8/0ZX4U21Br7+rdv97GMGxv54V/EDGiLE/e6soeuK7hT9PDDaWtRSGPw46bRS8f4Y/L+sE51EQhj8WmpDRVSCUP8yy7Iv5LJw/rNCYo8JXsr9IIpenpN6zPzTXt4vVLYI/uLJtY9qTiT9qciVuG7WGPxxF3ey0SoI/+MjRgLkAlj8RcJYbDICZP4sWKQp6wZg/3kMPyu7UmD8Hrgc20sSxv6JVHJQOPLU/tLsoEeOIej8tf3J0o4mAP9Uox711EXs/fOEuSuuGfj/4H0slRkOYP9wxzY/nYJU/wZvI/QpvlT9SHe21BWKwv4hS969v8bU/fulMwcjObz9htHCf74htP3/qALM2X3g/wpKIDB9+mT9ZrQlmJR2ZP6KXAS9PNZk/ipKOandQkT8MVinTsrasv3bdIc8mUrU/9+Dd6P9ZUT9bkQDX3bFtP8a9PaxBwZg/TENgnKmSmD/pAhTawm+LP7QUI8iXVai/5+C3cYtIsz9lI+byVsdBv1XEiR9+qkC/vtNzIDQERz9xaRCzuvFRP9gWD5u7y2c/7rhUE0Otlz/TQiJ/E7CXP3kCRgANrJc/hx38t6o1iT+WSZUumGiIPxv06/o2D4c/3QNGJ7ZPor9UlJ3KymuxPzU+Voshn6g/Xt6ACrJBsj+Pk1PspNKVP3XFEgTxpJU/xEtmn9o3iD/KUDZer4CEPxZBuimXJqK/HEyzUcgXpL/ox1Rwj3l1v+Rrm9zM3X6/ZaVaTHfeoD8cJQM5O0OfP6i0LadP968/Utnjifk5kz/mXM7ZQsOTP4TfL0Tc/ZI/eVPG6Ijjgj/ChpL++GyDv6+ij3hm3Js/NkQThQcZjj8657Ty9g6MP1c4SRTCm4I/OL4n6lYagj+BumnNqEqCP0L27OzhQIM/x7t7xfZShD+dcrmVxPOCP94xI8r284I/5WdChfL8gz/zZjm+2sR8P8kkoac7/no/WXUYHgbFhT+Wtbc7y555PzdsktaHlHk/BCV6YduVeT+IqzTKRDeFPzIBMPOqLIU/tfCN9dTEhD/kNp80Yad8P36fQsaTYno/G1+I3aGYhj9m2+gsy4KDP2/nSAVVZno/cbZ6cs5Nej/hD430hyl6PwBzqxWZ/oQ/zn7jZkgqeT+03T+ieIN4P4M5+cRJWYc/6fP/aURGiD+C2xVw7PSHP0E94+9iHXs/wvDH8LoNez8YQNtywhx7PyoUkGQa0os/4qP/FAo+fD8QlKA6Ngd+P8+sSjkviZA/APIWnIu1fz8VWcI6UWp/P0g2uOSyvX4/oHVMQgWpkD9GgL0TjzaQP96dAKbap3s/rp7Ln6V3dz/lS+pelKuNP1ws3b0F3Ig/gttfZm/Hcz+cseSeVp1zPxbOQCOnR3M/A41FeiYuhD9lUQqveE2AP87jSkSYpXk/XOle92Q9fz8TmKvMDL54PwA3TpSfWIE/yYwG7IEHfD8tUgskWN57P80aYfoa/Hk/KRTMOnY3dT8g2qfqmSx5P5oDitylgG0/InOELNAiS7/tkTbWnqN2vzegVryzdYK/K9n3vOVdh79ueTLJ/jeMvwGJkQzIc5G/bno4OlKflb/2T1Yz4+CYvzCWgxrWOpu/TThYSlzZm7+abxbxhEOcvzJEXDB255y/ynTu/9sdnb/zbP+9tROcv0hjjWeYrJm/KBlwRSfflr8pDCRF1mCWv9U9U+RyD5a/DlNu0aEdcL/qspTqhe9iv4+oVoRqeXS/nz+ZuxHNcz9FQCH6lw6Tvz7lkjutW5C/dKjUWBQijb8mBzWT+PKKvwz7B3cqHIu/EoTlWeAuj794i0PeWyiTv79SDZwnzZO/dO5upDmkl7+rhwDTdlKav5TbwhNO95q/YfLhUwOimb/vpzjwo+uYvxjvpTA6cJe/FMluLtTOlb+Ztw3RMv6SvwF3rfZx+JK/Kevz85Uok79H8yq/SjmSv5TWnVLai5C/AEOhvaYRi79LAzjyWH2Bv6aWK8VqPpW/0Vp+Ez/jjb9C2ILIg/uOv/TvbhWUG42/jIv4UlShg7+6oAFec3GGv1GYQFKyd3m/avEu+aedcb/9lOdrQ61iv7rxY/w6BE4/El+Bza7Ecz9Ug1MWZcKEPwC2S1tqqJI/0pvyBz97lj9CI8SV1xiCP90A63jlhoQ/gtUXtBfEjj8RPAS3jH6QPyIq1/xdSI4/HAvopvm+hj/3IPhv1qh5P3gk3JL9pTM/nMYyc57nd78SBB5mS4mGvwPgfnIzq42/5TW8xsdSkL8JYCX2geiOv3u/FVTkuom/IMdRm2a7hb/2gA6OShyHv+wtU2SJUoy/XI9xTLjegr8gA0Y6Fe6Hv9CwGw74WYk/oSo9vclqfL8sPowOR95tvyRakMLRiHy/kvn2QNz4jr+OSTWVfkWOv7pKjxPweXu/P1hJW3+Ebj+Lwxhb3QqBP1wpApYWiYc/8RwxPZ2whD80gIlnQnNTv1YL2R1P+VG/VQjP63s0VL+YHRTR9Mp3v0gBcym/1JG/91E2ut13lL8cKKUwJsSSv7fpZYwyMJs/eEn87YvfnD+IauM4B8WcP3sQw4U/j5A/yORgt/CshD+QnCMORiWYv7+9zBQRgpm/7R/oECzChD9YfXHxTIanP3oOC9qEU7A/fqKv4UF2rz+MhM0xFzSoPzvrqX7Sy6M/AE5XpTZPoT8xJrZfguufP2wemkaXL54/qItosMzMmz9lcv0bfcGYP+dDqqyc4Jw/Xsv6upDklT/7+BptEjmaP/pE4wWCVZE/Xmvp8gDsmT/4SCmPlm58P/EkFjCq6YI/MAWaygL7eT9GwfBxGU9tPxZW44QGyZw/1ze6Czrsmj9cCkY0G1yaP05caUK/zpk/mfsEwaqJmT/+HhIrKAmlv+LM5l/jOai/lynbToe6tD8ASFb1/h+YP+3JV9KjsJY/kK9t5+upnz+LUqAAEPuuvzhR73Bkha6/f1/T+SfWrr8eOMMigIi1P0hw65c5X7Y/yrhVegGjkz86V2vs6g6gP8lzdhkc77C/yT/K7ZNPsL+CzIacH063PzJHz3YCjoY/Dv2v9Llokj/t3sLcfwqgP5ASMjAamZw//QJTNDt9nD9frF5ov5ywv83nf+p/ALC/0F1bCLsguD/bsYRfiVGOP3LNksSLVYg/DfUFK3B1iD9yQJZpNoCIP8QeRdvMIJQ/fKYH9dzimD/h3/O+gF+uv+EkLY++/ay/QVQfhl2Ptz8qJYSt3vuGPwCkMg0TNXc/ve6vEqlNgT+xxpqVkEuBPx4oIcL89Jc/2uW/6uZ2lD8hXxx3sjOXPzRMH6Cj8JU/67+pAZ5Yp7/Yk0BiZ4K1P1+adKkE3WA/w0wcDC5bdj+YkpPDHg1zP1Q/9ywhFpk/q5U+yAkAkj9tqTFwZ9iRP0FSPmo40ZE/vEGiIYkgoL/Y09rUkfyzPwoQgdYxtK0/Zr9YaztptT+dr7pvZvRKv4vvoAknvzY/8TaGByu5R79Z0bLzPkhSP2JcImh/3mg/HL8SlnIemT8sCvyaInKZP7zO+MkNz5g/VoX2z2Biiz/zgrIa6OiJPzkTDOPsypu/vL6uAbMgoL+7dD47dG5zP+MyJRLzOWM/+7staIFcpz/iLSYTQ2qlP1z9f0/KtLI/j8V+AAunTr8Gn+G1S2+XP+KD56iH8oQ/ELbbYq0cor8EOxFOrnlov5CaIhpSAaI/9nlnhZLzlT/QisBIkBaXP14v88dpJJU/eY7ZVm7ogz9qiPS2W76RPwzXb+UW34M/6GrtRDIKgz8ar0o8PSuDP/49z3rFQos/YBU9MMBTkD8eDUobk2mJPwrZbL748YM/4lJIRU2MgD868Qk1m62GP/OlCePCjHk/xt5uymfefD+AwJ5fTCJ3P2AihwxQBoc/R5W4vRimhj9giZ+Go3SGP8l9/27ccnY/wXWcHSC/gz8+OFmJZup5P9K2nQa+9XY/0CK0uaf0dz8OqN2hGliCP4kHAwFtJno/gapfUi2hgj/NHRG0SSyEP1G5V7d434I/gin9SRVbez8Obpu5uAh7P+Q6lDvclHs/9jCh1funhT9hIannDjF9P9TcLy5XZ4o/RB2SPX/Afj8U2Rvkr619P+ogUX1JrHs/anqIiJAziz/JYY7yI1WQP56VHZ9voYw/qHFtjjcteD+nca09KWeLP6o8iNCUnXU/CWlIVKCDdz9EU2Pm8HtxPzMF/+5qQIs/Oaz0o/O8gz8Otvz14qBzP7bSAVM84YI/7DdoVRXYfD/SEzOAtI15P4SwdgMsA3k/fwaOwmuHej/nULm2uMRzP56cSXau7nk/Vo3Ab3VrdD/cwE8ablR1P64G9Leur3Y/YctD9FakdD9MQVNSpOx2P7ZLcbV4Z24/KX78E+lmdj9Sp8/DejNvP95GYYkbmz0/Dltoje4Pa78DqJpPbj56v8pir9LiS4K/tb3PeS0Yh7+Hle8WLl+Nv3gYLIHF85K/2ikGUXSglr/0LeyO3k2Xv/7nHij6E5i/MADvtSNJmb/+FXSPI8WavzPn+TTRcpu/RHY/zCFbmr/jRvbS06KXv2V3vh+IMJS/iFgCROIIlL/uCmTWuUBEP2Zl10b9AXi/0ykEuFtCkb+wXkALVoaOv1gSNR6alIy/hSZfNj+vi7/+h+7KVHaMvxx1mdp9TJC/GnMApfWwk7/oAXK9lT+Xv+AjX1Ovspa/fI0RD6zVl7/bAxL8SFmXv57vre2/qpW//LQFiWaXk7/yLixHBqSUv5beILR1nJG/9jjNOr2Nj7/Oa8Sq1G+Lv1aDuL/wQoW/cwtUPBdgeL8uuuI+jjeQv7PvvPa6lZC/geHIeBcEjb+5+QTSVCCCv9W7+qrP6HW/Lki2Bixpbb9SmmpfHcpkv7W++LMtwha/s3wpmno5cD9sz5JaBP6AP/XPD8yejYw//Ziiezpilj9zbvZO1DmXPyDX3t1PgoI/oQU+C6UYgz89FTPPEyWOP8stmjQF5pE/Znx+n5HwkD8/ICcsNHSGP6/rcqVWUXI/snwOoTzCVb8Cc028fpN5vxnPplmWh4W/3dOpmsoEjL9XxS1S/iiOvx10L0rZlIq/KE5/PhuAg7/OFPTQuVt+v/5foT+2UYS/OwTYemtQkL+7IqI2DgyMv5XTJyW7r6Q/GutACsA0qD9S4fMJmo+lP8kJgdjL76I/xOy9D/NBoj9mKfAAiSyiPz66t7YCXzy/QLZknjlNBT8oxc7YIU9cv5oN5Lia1H2/a0GruVxOhb9yp/9cubOVvwXZ2LWx9oi/AKHoGmQsLD+6Jwmwo3WEP/J+ET9dMIs//SA9rTbZiT8U9kG25IlUP4J6J6HDPGm/lDPlOws1kL/2RKutwniVv39Qkzez7ZO/xResakzJmz+iV1utVBmbP7GP7MLtwJA/XT1h/gvpiT8wXAGV8b2fv5wGljukip2/lZc529DGtD8vtGv6o1yzP6TzPHhomqk/ZOy1QtUeoT98spf2O8CeP7BE0gl4B5k/NxptePb6kT9SrcW8rGyHP+LRnisr3XU/9rnEYTuWhz+gt/gmLJV/P/icuSiXbWM/uLihLCB7mj+4YkN1r3eZP5ej/WCiypk/pIowmmBcmT+fSKTTxWSovzCGpoD35aS/XxMBeqgIuj/+1OVzzqmWP63FK2F/vpY/3fQILKJHnz844ScKSU2eP7/8u2W7aqe/bySsOlesuj9o6UBOna+7P5jNwX2GSZM/umQ6mOhFkz87LZmYLw2gPz4mUDkQ9Z0/mML3miypp79R/gTmrs26PyzZ/8a3Sbs/dyw/dPb5kT8c6keZBNyRPwggG+4QWZs/jdbVXWl/pr8WCtRR5E+5P1JWtGlcKLk/SHHUSGqyiT/7gjnEfx+UPyyveCbOCJQ/8w/HXo8umT/HPbS2YLukv0ISlrI8WKK/bBIrCe+Btz/D573HzM6zP/Bj1g8wQHc/qYC3Pboffz+4uS2nKeyXP1fIV/lUyJg/zCzJQ4CIlj9/vL9K4vuVP6395Q4oOJG/jKmgc8Qek79mEAmJSG+TP8eAFjmvsZI/uNaUBcl6sD/ov5zAyt2tP3vfze7xebU/ttEfMd1FXD9ZrCRoBAtuPyKaUOo1mZk/3UX67hpFmD80XnJr/4KZP1qxFvRW35E/jPbI62ROmr/0X9YfeaGBP7YrHghVkKg/FYucPXGUTb9Mp/JNFzmZPytyYkzfSpk/lQEybNAomT9ImlVjMz6MP2LmwJjYqpc/2jYz7Y7nlj/o0XR7C2iKP3wFCipaCYc/ZLXzmXulhz8/ygUTZvCUP00rALnzRJU/9wdI0eC6lD8Tk0vofQaEP9a4PPNuq4U/pgf2NRy2kT9BcQHpIWmQP0gycymTIYU/RkQn2+E7hz+kbw5XQIiIPzAR+8pHuYY/GdohKMYThj/JbsGhDwaGP4WIUPC0A4Y/fxwYEubYfz9YS9XPBYZ4P+XokMlwC4c/eRfGWFgPhz9Nx+j/nQtvPwpdfneJdW8/Wny9FsDsaj++oUasUnSHP0IZh6m2S3U/nKqZ+rjGbD8P577jOn2FP5yXmII2boU/KAKzvlVthT9E3Rt+Sp52P2xrBrYbE3Q/bV++xqTRdT8gwaNat4KCP/tWoPxGI4I/4/ZIN4pgez9Cdqb2W7x8P8sApszEcYE/CTN4Iq4hgD/MtIch3+l/Pzf70568/X8/7qZhlC3Sgj8NmABJNtiCPwc7AxO604I/GG70m5UDfj+dGeRPFMV8Py6GfgLkeYk/2tlbuiVJhT8n2AX3XfJ5P5IMz6tB8no/jOPiSYsydz8tF8wYtzeHP4bu/R9VAHg/aPpxOLAqcj9lxV9YSR+HP5TyJ+ekHIs/5oUxGG4fhj+vwyuyZnBwP+f5y/3ggnA/ir4/H+lubT/ZZfAs1QaDP4ENkRrnnYI/KJsVif5TgT+AsoqLxLBzP25jNTeFpHA/jnPX3F1UeT9NI4nLtWl2P+C6F2s7KHg/2BMDZADfcT/Q82gYUHtzP8E15DAI4nM/33wlGPtqcT9PBnCDWGR0P0ZdAjNHl2Y/qZmCZEfEZz+G54dCcU5iPx5no3J5ZHQ/5Kf8hg2Ebz9gwMR20G5bP640O/+h/0+/7us4adrHbr9hYEHtN756v0c2MD5zaIK/LyDJMmUxiL8yGQeE/cWPvxpBf8cwBZO/npqUCwiOlL/cWUajHPyTv2M1qtvjr5W/PhPYnFBwl7+REYAJFBKYv7NZmKN45Za/FND+rsJ0lL+41QsUiTCTv+8/t5mW7pG/aFyaAxcFeL+wrZA21Z9iv/2Au37KbHi/Kafv4LzCkb/H6IyKd9CPv9PBCIfjeI2/vilVcl6mjL/HZNGktNmMv6zePUr5dI6/fSnJp7c2kb8YejZjLgCUvzThVjB8ipa//xcztyN3lb9sdFo8iF+VvydkCgfdLJS/7UjZlhpVkr9LXDE82USQv+clzrTgvIy/sMfLuL12ib8BHHN81r6Fv4koT1m4yXy/boY3Nq9wkb+8XPGOaRqTv1ddW2Yz8I2/qMiKo876eb90YWKvQfZOv2FO+megnVQ/4cHKpeM3Wz/2jCq758JkP1HnFipyQ3c/OLVIqbPIgz/GsM1lDUiLP+QGgYwO75I/xADo/KMylz/I7UyTUGKWP7wu3L2sG4M/Voz5h16xgz+CYoIanBeNP/Is+4647ZI/GOk7I0XFkz8/sNsgA1eKP2usWWy1l3I/c91DI9D0Xr/Aao3CW+55vyelVuL2f4S/epQayD/lir8FZwKpZvyNvzHU+uqv14u//MDR5jdihr8tEbsaK3eDv3CHmpsDpIm/0IX6bJTLib8MaSL/JX+qPx/eqeGs4K0/Oj5FIqv8rD9goO/YSPeoP1zQPg1R4aU/Lm4rmufGoj80pVJQZS+iP3b/RQJ93KE/4dkZ2OrjYT/SVYJkmjZ1Pzp6HLYyPkM/Ku45lBOndb9Q3Hf+YGEXv2NgWazhPoG/P0+Y17Mjgr8++tvfNiV/v/qw/qdRKI6/ALIYC2Bmf7+C27sfnwVZP0Uir98jUIM/x5kArGsniT+ksfIk3jOIP9QBS/Rl6VI/vjEGAMM1YD831ehJICpmv+AsgX/q3oy/YN03ndIIlr+7PzRYGCGWv9Q5FY6SjZk/sG61H/9Kmj8D6NB4gyiaPyNN6BzA1ZE/L6A0O9bmkT9eDtCrqYqDPyKdqI9YgJC/4HFeFF48l7+Zu2khPCm4PwwweVz/wLU/Uwtz79FUnj9xWKCJTXWUPw9bxUyBN4M/BloYv2sdhD8HH2HszIFuP7OUZcldf5g/y9bsyeeAmD+KIVDD16eZP24oPE9FHpI/P08nyZR0nb+8mlSz/D6cv7yGanDSB52/Djpo/XfEvD+wbwNKf5WXP7R0+FseQpY/pRWoWdYvnT9E9/8rFN6gv5+D2hbcu56/omfy9Ef+vD8+Ao81Q7yTPwSUWD3Ixpw/sS+JyQzhnb9jKPrfh92cv2Rb3LHpYbk/HMGvVPDxkj9f/k20OGabPwc+ZhNasJo/UJKuiGIemj8ym5z4cxGYv9Go2/2MIbU/GoW9xppcsT/yUkYSghG2P5hGUjWGZpU/rkCEiSTSlD+A2JusK5aVP+aK3JE0EZk/1t8WSokDlz98I1f2TUSVv4iSofSWt0A/AYF7CodWaL9f4AFT1YGjPxQki9+ZwJ8/312LWNbWsT8+wI/mihqYPz35Ya2MIpk/mo0NafdzlT/MeIxYyVOaP0haR1CTXJo/Wt2CAe7zmT+ZkUuq6qeTP2tfu8amuZI/xI9PVc6Vkj/xiwAM0W+YP7XowY2KO40/lMx9Eqabjj/yEyTGFfaWP6ZaWeDa5Zc/eA7VsqJXlj+kMEOAyV2LPwtCS6hpo5M/goZMK3psij9B4I8R0wGQP26xaSpxSpI/rQ5cmoEjjj+eeNFAqxaKPxTusF3oR4c/PDaahgjlhz8OZjvIR7GCP/oue6BTi4c/+8VvG9Kjcz/9DT+2FEt+P4ywJgPgk2w/9sm+48AQij/yfm+juGxJP+T416zGiYo/HH+uZvmuiT/LgE/DH82JP1LSCgfnEGY/FN2SpdGWSj/r9y8U75VZP4BmfiKqcYY/TgOTEKrPcj83JDq1arqCPxYHu8hdF34/dWDHoKrudD/Z7PbvxBZ7P2DrvZGqE4E//f6MZYZlgD+SwjF08cF/Py7JJHVDl30/jLfkWO/YfT+spqfbpD59P9car3fPk30/AvS4niBceT+rNwuCucqAP0RqOLXWNng/pxh3UqVgeD/QUynHtPt3P7s92PcuSYI/PyGtBqWDhD85iYZS+86CPxK9SBNt4XM/oB5ttwSEdT+buZjyLoGDP4CjisZo2XE/DoLjcrfZcT9bUCLxB9lxP7sjpz1TH4M/ijGEBWpigT+Lne+zVhBwPxSfgQtbwGE/1LGKyCOpfz/XZ2hXu753P/W+hWHON2A//evoujbyWT9C2FR5HCpaP2odv1sOI3c/SR+TvkjEaz+lMlJnbWJ0P1DlZyGHtWw/Tf/GFseCbT9OjASZIXM+P+xyeUNsAmw/kBWcmwKdYD8AX/wKYXLhPkmrlamsXWW/oUvgBVJ2dr8hVCxOj5uAvxYmY08F2YW/GE2Rtq+Si7/YmS0i7z2Qv+yWpoto3JG/wSYg47Isk7+3EZIyqnKUv1UJNLXLr5O/yJPXTtaJk7/BAiB/8SCSvxKKwsQlV5C/7lBUNdWzjr+mC1XtnJB3v/iIHuNIoXC/eo2KqQXEd78ApHxgwyMzP0+VUCEsPY6/0igjcACCjb9Wfo+sfQ6Nv3fZjzmaWI2/tiBSK5fPjr/8Q+qoMMGQvx4/KPqFmpK/fP7NZTh+lL8F+6mGDNGVvwQcGqXRO5a/LzuPLYndlb8xvr6z0N6SvwzOjtKTGpG/nz03XxLfjb/T2XwMZqaJv94Is/fOioa/MjHZqJRof7/WeDkBRdOav06g917I2Zq/DlbTvVHWmr9FX+R/506Tv0rVhIt5y5W/aUFqs5pPgL+j19ZopcleP8XQguqewn4/PpOwPufZgj8L/WnPoviCP3j5i0mDfHI/K55X587Vgz9D1DfbkceKP4FInL4aYos/cal+W6U3kD/CnW6cAH6SPxbi+qOhzpU/hIWENqqglT9AzapeaFiGP1YbZzH4dYo/wNuxgmowkj/S/iaPFsCVP94n6Y+OHZA/xSfXm19+eD9UwjT6Cupbv55g4BGWc3m/Q6KG8b+xgr+o7dsrQnKHv/kcvLhsJ4q/cZi/3eS0ib/PzQ3A7m6Hv0xIIXRUnYa/6qsBlWhJiL8Rj8mpu1+wP3kWNYTe0K8/Vsx4itRjrD+fr+u4hECpP7fEJW5zD6U/7zWH6/qonj9W0GqPUlieP5Km1wriGpE//6AD4lKmkj9vrupvFsZxP8bylL9144A/bJfKYZaVdL+QNjnVzBaGvwBj1KGMroi/dwdql6LEgr9TYKSKQyKNvzxepTYMcIG/sUGKSRzQaL+0srv9pkxoPx1LTseG+X8/kAxy3lRIgT/NyDQWjn9qP2hIeF22dHc/y1k2dsZ4c7/1UZ/AFWJcPxHNxKVDdZG/9mtTrW5Xmb+FUPsToLqEP14RSWuytpY/okmXrofrmD9wiUD2cJOaP9JW1IZ8w5o/EIavW0Hxkj+/Pj4aW9+HP8LSkmw2VJO/lXdBAnF0kb/jLEWknhy4P4p/Jef5cLQ/ByVzSToMmj/cJ6X8APiYP6prtdWsP5o/CnGpTRpHmj+lwX19rEyUv2NIEZVmBro/Uzg2YCXUlT9LAXfYY1CWP+A1y5jSEJ0/54xf0sjhnD8kKiw9qJCTv01Z8X+afbk/Fk18ihmztT/s2SkUXdS4P/RVwjjE5JM/lXUBx9NQlD8OasFE+Q+dPxwQU7lTXpw/T8Toe+eBmz/kxUD5nTGRv58YYo26ko2/jBkv4vXNtz+PmecmmOyrP6ZPmzohrZM/In3+Ht3ClD98MKvCfWyYP8q4WptRUHS/9OdjvN4ZhL92c5HDQ9qQP+dnNxNmUYk/18uGRrnmqz/32yYdwtSmPzLsMeKMDZg/URHHJV7Rlj8igyXw3z+aPxQPrHTxQJk/q+GbvdFamj9sGvblmoSWPx0TYIjhXJU/SGhIyoaXlD+X/g0tKPuZPye1HaGJJ5I/Tdz05KF5mD86psv3/u6ZPy6MpI+IcZc/Fr6sGB0VkD/vRCoxPD+VPwuyWD2BapU/3vqXWTMOlT/Ut1LfLHOPP0+U1e5DWY0/fNcg2Y0MjT8wshwzokKTPxrymQk8C5E/RNNvMcrRij88lrs46oyLPz6fe/L7I4o/vhMMZlYSiz+uHhWwDXuJP6euvtO6lYo/OU3xeWS7gT/UVEcH5lp7P5DgbbyFI4s/C6ov6bgJiz9OM8G7hfqKPwCSbAGN8lo/SORJuqzgYz/dUfbEpWZVP06d42+cXIs/ywcGhn03iz+ssF4Uv9g9P/xsy7b8EFS/suhd5ZEsij9NTIuwG9w5P1KFeQcRVkW/tKU5eUEgIb9Mghyw9UKGP/ezDyzB/4U/j6qolADxhT/BZcXfAztyP3BoNZK3JWQ/VnqADnhAgj8UP919owqCPxxSAM95b3U/WOZjgPsHaz8+kuGJIJRtP0NsOMi2xn0/xd4n5HKQfT+BT1xlcXtwPyP3G4nXgHs/GIsrOKIOdz/QU/5UPXZxP6ygruvXHXM/EgKykAwEfD9/Nv1W2MR+P8ML0tkXpnw/R/342VlRej/yJEW/NyCAP6gKJkFEI3s/w3B9+2h9ez+UWpzGOtJ6P+J1llVyPYI/Gn2Fm6gKgz+k6vXv3ISCP6QcfnvPwmw/TQg9vexqgj9LL6ZyEaSCP9lzaLlAYoI//mfkFNLlRD9K8c9G5n1cP2VrgXciBE+/HB3JCvYqeD+MzgzDUqt8P5AnMGekjXg/Ish7RG6YXL8YTuJ6XvVyP+oc/1Y1K2U/Sj+viHPhaT/pq9twAzViPzki4jWvOWA/+iWorWbVKj8B0Nsf0aNev/7xUgt98li/iiALY8pJWT+GUbXHWwQ3v5avi+RmbGe/iJ+RsPS0d7/mmrw77ryBv1JU0xFIdYa/ox9M5kJ0ir8ye+GMO7qOv0g+2QkDQpG/OlZvxqhIkr88t4auTneSv6r9ErZY+4+/5rDJZJ6ojb/duTh9d1uKvzE382Q/Coi/9vuVNQsMiL82gxv82MR4v6v+cvUla3a/BYu1dnF2er/g+9fjWtdjv8w44LCo3oi/B37wkmg4i79rixBtcOyMv+ibfgS2lo6/+x/ab/iIkL8euZE0ByeSv3VVb2Q7sJO/tA1vopSilL9ixCQ08+eUv89A4NW9wZS/C9BBKBxvlL/3bm9U8tiTv3KnXDLWg5K/kp/R2jYTkL+Kvpt0pKeJv8ilrgdScIK/JYdnCGgloL+kRPlyeJygvwVCEMQtnaC/V9FX9QWOmr8sxqftY+eNv/KLU8fEjle/afykM3g6gz9oB3M7nAqPPx5lfYn9QZE/yHtWfOyWhz9YApxOHmyRP0wrGbznFI0/48Yk2ydElD/u34hQQnmUP80VStF69JQ//ifBXjIplT/C060AaYiHP7nV2IDWTog/VSQFMDs9kj+6FRHYr4mVP44/TrVUQ5I/mghONZ43gD8AiZqOn7ZPv6w5Wzf0W3i/Pxsu10LAgL/O5AjURb+Cv/TZ/QNU4YK/8frM6ZzKgb+h07ogYB6Bv4KSZi8H2YG/at+DLOmzgb/gMfXqMJCvP6j/+9j5164/fZvfN4E4rT95fwjKdPaqPwRhZ4JjoKY/p+08Z1jinz8wsWz2ZLyQPywy2q0bRW4/PJMd7ATcdL/4AlOrPySEv1bcJchtbIS/SjOpinSmeL/Uueo8d5d/v+aj1exIAFS/KNejotPsaT/1B60Zil96P856ZCbluIA/dKWCiab1cj/m8PQWrEtuv3fPbesvrJO/JdehDOSAnr+1WSwsbBCRPxzOrdof8JE/9EvV64ARlD/amgZv26qVP1wthnxNk5g/iAjD48Yqmj+UPVNZKO2ZPxdXLGfc55I/nV1AJ7slkD/wiBrf7wKHv+Zt0MOJG7M/UmiHwt3bsj+Eh0mr7eayP5PjCsCr4rA/hQeYP3tDmj8wAftmxwyZPzCKQZ4Xkpk/9I0etyt0mT+Vpq9DMxaHvzLy/v7X2I2//xFIgk+8ib9ley3zbly4PwWWDFfYsK0/Ud8WWCjllj/iTLjfZtOWPwvWIEK4D50/PeZnQFScmz/YTQ5nyAWQv0yY4jFYs3m/0/CJpyHvrT9AE1Ec7ZuXP55PEJZDzqs/sRM2SbxqlT/rqdnv44SaP/RLEp6clTc/QLFLmZqcV79MevQGCA2XP7Q/ibbVRpQ/e68yOxnoqz/88nnisL+WP5GMT712PJY/THMhKMgVlz+kMVTVi7iYP0TKA6d+6pg/bONXTLsBmz/gXcg2NrGYP2MFJRUn1JY/Td0ikIrxlT9RumaObvqbP74PDIHQa5w/lENB+H/qmz/AYwN/8WCUPx5C6FBkBpo/9F9FONmEmT9BVzoCpiKTP8QzQsNecJI/gS2ebU0Ukj+i7blBKwiXP7bFOS0mi5g/5n0E1cDSlT+fXNJ/5TSQP2KmbYl9pI8/AfgOLKMCkj8x8Ms++WKOPw1PmGfI844/YE+7xPPhkD9ZfXKxkrmLP8C+cgaTSY4/mKAa6/BphD9yzbWewRWOP6hbKAtsAIw/rOrT6S5Fiz8qXhj8mYN3P3aOO1JlnoE/fNkN7mO2cz99vzLcmXmJP+9sy6gYFju/+u8Jmt3LiT8KvrrDcIpev305qUJ9VEq/RjbjNHG0Zr++Wt1q00iJPzxDpXNf+Ig/9tWGtH3jhz+R4dyfEfhWv47U/JNtgly/2Hei+VZtWr9XGXlyBf2DP3z3klfW1mA/aJoftNICGD9sspW6efmAPwtD2q37yFo/H4Z4DFUnTz+n0068BUxRPxq2Oi+YEn0/gs7cSr98fD/xR2/Zyyx8P7Crhz7u820/KFP07UeSWj/EIhv2kmB6PxhLqdVTfnc/1ipxsvdebT8ViyNiPkdlP75lCsZkVWk/0E4eYAEadz9rVr2NNWJ6P/8Bd+hMUXU/zawDz4mGfT92e4boCLh9P1l3ewGRoX0/VN3AJPK3dj/1WSJjLJ11P0Cc62AG9HI/VOA7/hqUgT/ebLfXI4RoP6BZTHnCRTG/gjLTw4o6gz/q8NMvffyDP4FkqfcFjHG/aUj1yKwKcb/ep+bbqNZyv1CwB75Xc4M/eIHBFCMWfj+Cv9zRoU9+PxUY1C+/DX4/DvEJzVR3Y79amX95lExyv3bVxoaDjGw/7eABp3pVYT880GaA2iNcP8eDiRRClFg/F+ADDpW0Sj9GS4OVw8Bev7lhiNZGCG2/yQbZsSTAZr92BsGe5u8bv7cN7C76WWa/aiRRbpM2eL9L4w3a2jmCv5VoCXyzPoa/Qe+byqeWib/AYJqWbmSOv8el0y30Y5G/xJbWN+j1kb9TZb25vSCRv3xh0zhRwIm/UFGFNTlohr8fLffVBA6Dv4R7iEiqYoG/c0CCpNltgb9pNNqrtDJ9v4CqMoDXIHu/GDvlSTIvf7+gwVGy8lFvv0TxteuZxoS/x55mCIFyib+9gIFDYTWNvzzpz51/GZC/OPSsgeJ4kb/6esO13MKSv+666X3Ko5O/yALHzwu9k78uI71ru1GTv35+xE8V+5K//Po2JzDfkr9wCaYfNH+Sv57b/zSBKJG/Jp/LPsXTjL8qfH9JDSOFv4RchCVE26G/0KxysWfDob+sK0VApi6iv7N3kyBicaC//TO0UMZhl7/bqFR+/4aDv2kURiOTq3Q/0e9SZhHWkD/SN9CP63yWPzt+HF3re5Q/ydCuAvRrlz9cq4XAoiGVPxQ2LP/MOYg/8V2blUp2ij+iBofN4eqPPwW/k1KL2pI/dc/lZ5EVkj+P0tlKfk2DPyAFpYrw1xs/FnhJ2mYaeL9o0K4EoO6Avx3jDAhe1oC/t7nmfTxNe7/UBB8wxLtzv4XU3CqDxHC/e/a2sff7ar++lN3blsBzv7MkbG5NqKk/8Wxir2oMqj/o63ZONhiqP6gqQfU1Lqk/ImOYNQjdpT+D/ktymYCfP8BVXbvAK5E/C279Lfxsdj/K85/ouvNTv/oHHyPt53C/Vog39yvZb7/63Dx1ibZJv4f+9sxcFG4/wg5udPpqfj+z5dOV6tODPxqY2RmFc4U/bgt6on1xgT8e4867BUZeP0oGfAtQOYy/r5HdhI7enL8Tx0dCjIuXP5WYqazYG5c/wT5Z+kqnlz87xh/yQHuXP2EM9iAqRZY/Q1ku1kfRlj+FC7sm+XqXPwa14zQtdJc/Jok6s1n0kj94vDnOsSiTP/YN1ImWhYo/kXpQRgMddr/z3fstZPmGv171wkOMYmG/Owaj6He3pD/EvYR8loKaP3/OZdh6H6I/4nxaJpTbpz/w5lJMKZypPwKwf3erfZc/GnHuF8pTmD8430CbvRaYP5Wx0es1f5g/XlcoVgDblj/Mhr43nkpVP1BGUXYK7DQ/NHztdOS3kT/naJ5gcFeUP/HFPi0eXas/a1w27qF5lz9m9tfJlNCWPxw0NWYrgJY/Acxli4N/mj9AFgTEAMgsPyyCPK9fD5c/sDi9CkJxlT9daU8LSAuWP3g+xD1oVpo/fkotrXoemj/Xe08vQ5mZP7aIcWsXZZk/TdJM5BaymD9YnvNNMbuWP21jp+8Y2pw/vEa1Iliomj8o/IEi2bydP4/oBULViJU/mamIN3g2nT8UwfNWKaGdP/zc9DPB+Jw/wr3ZyNtYlT/V320m7niUP5Xq9e2/lpM/jlbofPu0mT+C2Xe6RkOYP7hFuvTF/JE/xjv1Rz9QlD8j5PMf7iOVP1VuUuMztJM/dquuqilckT/R+lTvWYeRP0jEk9SfNY4/YhegahdVkT84sRVrGXaQP+8fPT88f5A/ybFhlxVpiD+q8IqrwrKJP7IP6RtgUoc/1gCxAe2Gjj8npz+CnLmOP7a2WJSByoM/ZP+dvYymfz+1wgOp0baLP5ZHZx+CAmw/W8OPKXMUdD+M4P2HuX5mPyFf9mWsI4o/12nzg/6HiT+U+LJ4fV2JP/mhbuLu7HM/wuf7nJlacz/sIsF3j5l3P+1UVfe7oVQ/0YLOYnX3VT8P8kisqzZUPxzgNpojYUK/nfsaA9iMYr/ZCl2TeYWJP5q94kODkog/GZQwvs6xhD8vyLGx+6mEP/9ujKQlMIU/w5N++EdvdT/PDlAb77JLP7TtXmriKD4/AIPizb0wbL8aoXeje6Fqv+zRXI9qCnC/XtKIZh1thj9nJv+sfOSEP2/5otgJnHg/SA6l4/eEVT+CODdpaqZgv524eIXp+IE/tHBiao7lIz/o6Ol9Zx1avwDDdmztIdu+SPbxjA1JgT8Kb9VeSO9+P4hxHgQMOHs/H43pYg28UD+wEc0W0IBQP1wl+Ewzs1A/IzxtRDrzcz/mkIkJvmtZP9z5nThsbVM/8YJCJi1scD+JGLKkR5NhP/zQvYOlMWE/66QdC9hTYT8M/zwmEDBxP0KPCdWEt3I/m9H2z6Y3cT+brsEluutyP7fW1QcyaGU/+kyBJOpidj9ItCfFrT9BP37yTLXC+X8/WgZFWPbFgT9sxf6kKyyBP5u/XRkH02S/yiSCvQaBIL/kFndX3OV0vzqtjYuxZYY/Ib8Tg1tUhj99JMvxsz+GP37sNfRr3oC/Vzr0S0iwgj/jmSLjoAh/P6noYBKREna/BBaCwW6agL/uBsMGabZ6v3lIoU/4W3k/BsjYovSkbz+iav031ERoPzexdb8cQ1U/m8D8O00tWj9EazAdNHFRPwRz9QAGP2m/ZCTrWEXQcb/il6RqeiFtvz/RcF2PzlW/kFlUKW07c7/0uo47+rJ9v1Yx26Py6YG/eSjbHqp9hb9lAw69J+mKv5NtCXtbOY+/eq47L2HGj79EdpJYi6mNv7SBM7SaKoS/MhNJNG54gb9o/P6qG2h9v8MjzAj1F4G/LiNqYbuGe790m2/vcG2Av+wrrFdPGn6/rgBFmnIPgb9crV1t47dyv388e0BvyHu/bglfR5rbgb/J9DMjS7WHv0/Au1sw44y/hNCm/URHkL9EYqzBkmCRvyyj6vbT6ZG/5uLxyRbykb/RltTPG32Rv2BrwJNk+ZC/n7J5Ir/akL9bKrytGOKQv833PXh/WJC/kEVjLchijb842lKWRgmHv9rIoA5kR6C/n46TTH6PoL/USJluurubv2LaMohJ3ZG/IXvqw9NIb7+IQIp9GsKHP2tE/KgXE5g/b63Lv3S2nD8u3i6zBTCdPwRe26oMWYs/QF7zAI7riz94G2KPY/2QP3hsn3QTZ5A/nLsIh0nihT8DwOLOgx5fPzA7dt4baHa/wvcDSpmMgr+LVSfGQ1GCvwfoBVNnJXq/n5jegimRa79RPCCPELBfv+KCJvSrU1W//4wTL7QbZL9sHPBtm1KnP+TtnHKgGKE/PxdUGIzWoj/QAxi4zA2kP8be6BFiY6Q/YARPwwRYpD9XaSpKdpuiPx2JVkg6PZw//iuAtz13kD/cHtJ3XxV+P+Cvg6QIl20/hVn3RSg/Zj8ZAx7WqZBmP+ichOC2XXA/AQvC1oYvez9o88WhIXuDP/FMCiZpIIc/cz/EDVqDhj/7AGXJHmB9PyKmvMfp3U+/UFYns0v5k789x4XVGBagv61YFkNYdJ0/6vpxBOAinT95uB/oe22cPyRqCNo4eZs/IEL9aDacmD/oPiHKHiOWP8j+Z0M5z5Q/x3CDiPz9lD+1vyS7t22SPw/UPm88ppA/WMMPuGgiY7+4oVvGg+ZcP1pkva7NyFk/p1qZo09Xgz/kUYnjMEuPP1h3S2K0MZQ/ceG1+Ffenj81LHzM4kSVP/eZK8BhO5U/V7Vk36IemD+KHp57iFSWP5di0Up8JZU/DA6KYiLHlT/9HjfR3wiVP/shV2jG/Zk/on7YzmO2lz+614KATNmVP3Wq3YLANZY/17u/Ic4klz9mg8kcYaSZP2D2KfTCA5s/BPUT4u7ClT/gQM8dg7yVP484vyxpsZU/1qilWJehnj8pjthEIRGdP2OxnyK/3p0/sgi7ERlQlT+LXpecMSiTP+x868a5NJs/oB094n7Tkj+cV1vFOp2XPyBYyAMnfJo/9+JVAN7YlT+7bjFbb7aSP2c7qRsWiZI/TAdUxsE7kj90kyFs+I6RPxLw8PdMjZE/4iWmODQkkT+YQk7lptuMP1gI+RT66JA/oMGdXz0Iij+EpS8GdSaRP/GZ+OJy8oI/Zj6h4RTAkD9pxxd+mfZ7PwuvLi8N4oI/tTnt87Gwcz9J+MLCGKiQPzWSAYVU1ow/ANTtM42xjT8TxYgU0rMev2GWcLXmwgm/Fu4Yn/rxJL/kdLdL2neLP8Rt4zBPKXY/Vq4xqPIQWT+flfBgxY5nv61PNBJwe2+/bD7UMFFJij+Fd4bnEN2EP6QepRKBrHY/jKzaCQP5Uj9i6VnLGLVvv77BOOSwV3C/RFUq5ceibr+jOYj7gymIPytcrM0GpoU/5384DmsMhT87iYy2azdfv8/2mXSsF1O/FLp8YaiCgT9yhma54/F6P17BSVBdw0M/VM5sS4/2LL+ke/g/qSRMP1gTI2A2gnA/dIQIcha2Uz/oAMK8rZdmP2AYhUjD0FI/gAep+KbnUj/vnsVZ4e9QP7uYa3Ffb2Y//FQLqZ2Saz9u75sfbTNhPz7ZNkTrNVU/VA8TETaLZD8qaEaE5gJWP5Y9TxKhk1I/IGm2fP1DLD+0cDY6135xPzPkrHoJb3Q/IH75oxkscz/Zt7DZA7kxP6DB/8L7+2u/UD+zba53gD+RAPjAOQ6Av/SmT0g0AHy/ap1rTTiOgb9K1hTvItiCP80jLL3suoM/U74Zns8/gr+6+SfDLZiGvzXyQpDO0YI/iP7K0dAEfj/cw1y4VeR9P84qP8fXw30/eJWGsdJEf78UuzgTK6+Dv/LDS9h+qIC//A8O6k4fdj9+NHcOIfV0Pw9UB45PQm0/qjCZp68OVz9ow0Eb4xZwv9zBgt5shHO/v7pqm/Jgcb/Ps12WfIJJP1aX+Pz6CGS/Pzd2icVOcr96hcaBi8F3v58GcbbrAH+/pG7/0N/Ig7/sQcHHhWuGv+1MuV5ocoa/FiLb50suhb+XwXupXOKEv0Rb8TKmXHm/nBFRiFdOdr9X3z9a9B11v6OVzBMe0oG/fynzd2X9gL9NwaQOuL+Bv866LSYdsna/TJ/ji7Lqdb9Q03Ci2cl9v+OVWyyyQoW/Vl2n4+Qti7+o+LRJvdWOvy5rRBGBBJC/nDOI7Bpnj7+Y1wkrkdaNvxhWFSY5cYy/Ef7gAm82jL9YsJhYM+iMv8p9Nqjk+oy/jEefxSo6i7+JIITWEDmHv6CX3IwrF6C/BjNDaxq9nL9grp+irVKev/Di0eCl5Ju/lkoOS+fAlb9dfQhaDeKIv5nDf9kki1A/OHEe9kIPkT85alhakgmeP+gaHU5Xa6A/dINNfTjyij/cbF4k9CCKP9WT5R622Is/3INJCD1hjj83eJJxLm2HP9tf4Yf98XE/7BUjiem4a79maHF+gGOAv11/9Y1uUoG/f8JNaXuteL9yxciTrK5ovy6gIj2Me1m/RGo4GVewQr+ld0PIoUVUv7cUD8B49lS/2vzLzAePU7+huWJcw5eaP0CkM8GlXYk/mncVVECKlj9YXJqx2WqdPxGE6B3Lv54/2imd8D7onT/rtPz/cRCeP9qL0nhbOZ0/EjnuuRPjlz+ydrxsn/GOP2M5BsElK4M/+ae5RMHUgD9z8c3Uc56BP6XQOi14eYA/bl7lnKwLfj/ZWkJUECWAP9rqNvEm3YI/Jeg8mi8whD9gJOI393KBPwKqcCeSBHA/BJiVSX3Vhb9g1H5GiSaYv+KqIi+XoaE/7VzfXMFmoT+yHc6wcpWgP3CtvDNKgZ0/m8FJmBoOmD/eZdO4ElaTP+Aovwhcb5Q/L2KWe4Yqkz/SP/30sh6SP6y4klYQNZE/NhdUVCj3ij/kNSnBz4FNP5SQ5Yb04XM/7hsIUmfAiD+5j77iqOCSPxNU5O8lBJM/kU0oZbmglD+kwlroci+UPzVufldADpQ/6sndYh7Rkz8//PCCUOOVPzR9tUsdI5Y/vpQt5oRWlj/fVu19r/iVP9X5qipBTpY//Gbj+PQolT+tug0wUjybP6Sz6T1695o/fIO1qlgjkz/FlRqxZbacP4V1JB14iZw/J6MA4l8CnD/DfALIgRuSPyB/CAq895o/9T0djQ8imD8CzfCEkRCSP63C2pIEPpI/bj31chrfkD+GUBBb80KUPzX1gl7z45U/DuJbNAcukz88bbEWxSmQP8JnEYKhYZE/+KJn7QYDjj8eHkFNTnGQP5Au+HXlBYg/wdU9D9wriz+5eWH1D+GFP60N+m3U9pA/t05zhklQkT8P6iMrrwmRP0tmU5517YI/bkjH7nS8fT8y0XIKLMmQP1fKxNt6JJE/+fPZQg4wbz9HJvS8RcR3PycLYpNulGo/xM0os9oVkD+e2yhReeFGvzLVfTkycY4/0Z1SYLByjT/Yzd3L3GmNP3L2ykUOQmy/3hkq3xTRXL9ao/qZkLlmv4lrOcKEOYo/CTnDWguOiT/9csfM52Zjvwml0jDhVGO/vRFm/awPY7+SS2L87PWBP36cDholEk2/SrdbgpslQ7+erJs+FcNyPyANvuiTr0g/tIkEopDJOj8/vPyaF1xHP7O9Erd7knA/K8mBUgMDZz8f2HnmGXBdP2XEJNRZM1I/0O+7gpv1RD8+iy00yB5mP7dpZLivMEI/ae+l2KdpMj/bm58TqH4xP2wtqO76lSU/Md5h/E2BTz9Nyj8WVyJPP1atPIYU8k6/8UxqRcA6WD/R3pVpFdVkPz8seKAPZmM/tnTT1TD2Z794V6ukaOhnv+TCQ+IUUWi/XiARi++2cz94OWU2m3Byv0w1NsaqLHu/NmdJo0EYfD9YgVPeJr2AP0Xc+U6PB34/+g/ogAVshb9tg8eFvKeBP/SvvdDZOX8/Iq0I1ZTsfT/UrU2OX4uHv8hNYXJAI4a/lFRVOSXOiL//lRy3rL55P7irS59oCH0/1qYXgu6Lgb8YRisdlJSCv5BDnAKcsIG/0OXIlR8sfD/cl8Fl0el6P9AbcTRQLHQ/rKaVd8iUVz8c80bAvURkP2YQTi5NHlo/vkiIPXq3c7+sVQpWsqd0v6aMc5OED3S/yrj979lEG7/3TE6thzFhvw0j9Z0aw22/bPmqRloCdL9dZ0e5r4h2v+tbis+ei3a/1hhR+6aldb8DsKYjWHF1v3TEBarzWni/1p6T+Wb5ab/8v3aYyrBpv87SO8mh0Wi/EpwAF+nmgL/zyHOYuKCAv4jCulqevoC/Df7Tk1Dier9GiPIbVE1rv3h15rS8+nW/hvCcyo93gb+KH/S2WG+HvyGX0lkc0Iq/8bTciz51i798mT3q8fmJvy/VofcPn4e/D1c677NKhr83Yh2nstGGv9ibrcjMzIe/oTsPLQBJh7/+Ya2n88WEv2MdCqKTb5y//XQB8Z/RnL+XanX6frqYvwQyhHLNaZK/mPriJJlFg7/jV8PjgbNpP2HM5mRHR5M/at9g4UpEoD+HyBzK40afPyHot6M/WYU/p59ZCKpJhT9Z0xpK9y+HP/c0Om6JSIQ/q+TasQoAdz8CvTObbytDv1WsJudVunO/6T7TBMkad79D8sE2FiJxv04m/x2OLGO/J8BxEHplV7/Enm/HsmMkP8vHfObNZjo/MToWVoiRXT8UhdG3hDpQP5fCZhxLX3Q//ZaCIeJYcj8oZEsrn+OGP5FAOILFrog/uOqVzH2vkz/UqsQRX+uYP/FKfG0qhJg/oBgwvqgglj8lIvQBAR+WP1qGW0qNBJc/jMyIAZDTlD8TODg8RbKPP1HhEmV8IIk//Yi7d81hiT9oRkETpYCKP6FhqwfDy4c/jLEk72fYgj8wccx/fW5+P4Wv6Ab7nHo/NVPgD3Cudj+QwFlITe1sPwNuQEi4y0a/2Fvo6qJbkr82yIa9Pw2cv8UbBe5ZraA/ALdRoBe4oz+BZnf7J8OjP2TxysEAFqI/bgZqlNWXnT8ycW5dcwyVP86vHNggopI/+R+qTVfHkz8O3Y50MsWNP+SVsagotIs/XrA++K1qkT+9aNr/zneSPzajMxtZTpE/P3DrOSh+lD/0FMC47kSSPwk3TcAOiZI/9/AhB3BOkj+YQ/FYLMKVP9ySUw3wvJM/1QQ/JleslT/ZRjSlloCVPxDXJPUI65M/d8BHv8+Umj9TCLZF2b6ZP0B8ujMyJ5M/UrnyQ8aemj9aajdDIyaTPwCzCAKY6ZE/USPPYWgtkD+LN7LjvISXP2U/5kgtm5o/BCSyC6OslT+vAtVhV82NP7bGRDHXLJE/23e2mJpQkj9dQiEn65mQP5gn8YaHyI0/51+1Yw4sjT+mFlzqsROJP8eBNREQ6o0/LktvsWYGkD92poq3In6NP8PAv4kiDIQ/lB0kAAOKhT+lIR6AUDGDP+IeKYaR8Y8/UXvaAozqfT/xHCv4t598P+gG2SjB3JA/2WnrapfIcT+uifud+5N0PwvifuVqYnI/q5yTIhDJkD8h9dFJ9d2PP5lMwju0WY4/0AwY3NtwGr9xVcoLWyBYP/zwRezu1Yo/FfzNZBtvU7/Oo0HW4bgAP7RnrLEV2Eq/q0KwKhOOhj/su6+hSxZavyhxykjv/YI/Qq7Komjdfj9GSNQGokt7PyJDBQ7A9kC/qHk9d/NyVr/6LowdyaZJv7T/j3NIsHE/gJt7w6enYj+gV9zhTa8uv0P2dmXLHzg/aFScKu1gED+W20Vtwnszv6jRR+hhM1K/g0Nct1OjMz9K4JHEh6AyP0vjyGvxXDA/2CObcaTmab9tJqC6vmlQP0lo+3DJqlc/HZCdtb/ra79W3tDEiE5vv3fw4x8Arni/lk6dU206bT8jVBEVGdGAv2pVbmxScnU/rvuytkt7dz+HNf2qFnV3PxRGjdwMTYK/KuqPDJdggr/e2WeuF5uFv02W/kO0nHo/IN9A2L/Bhb80BdnWCrqJv3Gn0OHLrHo/oroYpnK4eD86VXKegxuJv7Tjqp4tTYq/zBwrIVdWib+i4JpC8FN4P37xdmlXNn4/5YWtfP1vfD9AJtuCuqF+P8+pljkYj4G/C4uwBVixez+9SC0OYdN2P0uFsIjca2s/wEWQG/bTWT8qVMUYjLSAv6f/cnzL6HK/H3hdKQxrWT//KlCfOPZFv+cgjHjdqGG/awjkafIwY79QVRjhNK9Xv+F8AFYl/EK/Gmo+nWjDOL8OR04zkzdIv7dTDul+f12/dMamiq5MQD8AlplMkmEWP75rQg5K/zC/tVoPbMlSe78HKYYCf7t5v1GguPkbIHq/MsO3Goywdr9zYKoQlt9yv5ZAPPUnDzO/K5YW1Dc0ZL/8Q3sT40d2v8b6PF7WjIC/Q9Sw7RG2g7/TowfCy72Ev7oTRkoV9oO/aokS2phWgr8Oykd/PY+Bv7i5HpoU3IG/xhvnmUCtgb9CDqky7JJ/v65s4qojrJy/BGyHWMzdnb906DTuppyev+bC+yxiaZy/Aiur2Ol+l79PXf114GORvyhemWosnoK/9TPaN40iZz9+ui6EF12TP0uimxVm5JQ/OkathW86hD/djcA2MbiAP+qVyF56OoA/HAc3h7QZgT/MHE0pI6t4Pz1XjWYbJ2Y/AGE2NlFLCT9sKDZcbKpHv7j26B9WIUS/YeBZr90TXT+ibPiXSLdSP7MCjQkG/FE/U9xOMBeBXj+k9FmJTg9vP4Oik1ml6X0/qyAKxWFxiT9/M08DDz6SP47XclBtkJQ/vYcALw44kj9WOw6v6DOOP8oSDAGiHo8/QfyOeZ5Jkj8KLm0lYyCTPzov8txZMpE/wRzqyigGjz+drXXVpJaPPyCEnN9kH5A/qR+eV3p/jD9rcle2ghWEP9Pyh92Ie3Q/3kXGvcDPUD/qb8X145NbvygDPORD12+/9CRhS1gmlL95/fTFBoybvz1jbbQvCqE/jk/uEFvwpD+7BL0GPv+kP0KyEUxmI6I/ythYDYAPmj9/3EK4XE6UPy5okcNrWJc/SAPi8gXfjD9wrEBFw7SJP50ivmdKtYI/rtyuGBcUkz8A6bUUKK+QPwwpylEcQpE/iWOcFh/HkD8TLgYXn2iQP5Xui6Fuo5A/UXrX3wGnkD+hzY37leuSP52m7QPLOJI/8VbYw5G0kz8O0nh/WC+TP4yv+5rcpZM/LglnA7vhkj/YZSBfrrWYPxzgQP0HLJQ/YqGCEof8lz/uEjZzwiaTP5lE8LLNF5E/kSQ0sw+dmj8167YkVlmYP3oSH1w40o4/Nj3GV9DLlD+S+/hLBMqXP0Km/blpXZM/8U/PsnfYjT++F+QBtxuNP7Qw+1Gp0os/FYvwQEQpjj8h6WciuaKOP9nCTbBRCo4/aP9rgQOhjT+uKuIpueGJP9nP7TDgY4g/1OuLcO+Ahj8dPJA73YeKP1kEDcdoVYI/7IBXzfdigj+C5a3qdFSCP5noCmKsyIs/eR9rvkSujT86hiPJF/iLP+bBtjZq6X0/Y64QVQBqfj82CaD3jMOQP2JaMeXYhow/Egp8LzOCdT9iwcLTUZV1P8+P9MzUhHU/WE5OFTe+ij+88uYrlN5fPzz/oNd1hGI/kYWsW4cUiD//MWUhCtKHP65xpT+gPIc/iWj/epX4OL/DomXBN6QLP4IkklBNUjG/pvxq8PtfhT9kwjvQAfiAP6U82GtiA1i/+h3UqkSAT7/twzWW1ihyP22Yiznvz0a/KjUGrynESL9K/+DI40tLv0ZnyBe1tl8/iaxOYfkIWT+QzL0nUh5WP7apZfaTqTG/HCsyrXJ9X79+lPC53rQ6P2pLMF7lzzk/xqaw40RUbr/uoAK0LCBtv7yBM5w+T3S/y7413RleTT89qWHocjJwv24992pb6oK/GozUmoeNYj/xeQYz+nuGvyqFEZ6xC4e/DNxc6Ua/ib+MNL2Mti5mPyG0UQ7DMnA/q+Csm3OjcD8pljPrKziDv98mlHjszYy/dAZPAKaGdz8gFym13QCNv/PmPo/jwo2/AoQKMDgqjr92/qzdFnl5P6R+jQ5nM3o/JKCDNeQReD8JbIEKoD+Lv3JNbprVKo6/ne3ycnmCeD/Ik6zAz853P3QEohBL3Hg/47oECdCjib80TDpbnKqKv0Zq6KiWlom/bCA+zqvPej8Y/1/Qzm5/P/rCuKc/b4G/WB06vPSLf78+B3BkKwt/P55/fDG49nI/NvzW5mjJaj8wl/8+4YRZPxjqgAWPMlg/gqnFtrOkI7+rDc+0NFFyvzNCHwXQ63m/aiL+2XoQZb9vWvf13EckvybCQzb5B0+/XIGStANzET8oXLgGFiNeP5pJ5ujRIWg/rvP7ZqZmaD/eW38Mc4BjP1bTfjhd8lY/dgn5Lpchbj+2vLEPUXlpP8gjiEM5ZyC/9WTe6UidYz+aXX9ATwxcPwPCWQqGmHO/fNK68uLtbL+Y5YvYiLpvv9lSPU9su2a/IYttt5TjY7/4yvIaGq5GP1n+26KLzl2/ysVVhY/zb7/+mM0OxAd1v8GyhzfO3ne/OF3NlPwUeb8XGmSJMiJ5v9Il1skw3Hi/HJV1PdNTd7/nkOV2yBhzvzpgi8rfMZ+/ose6gQvZoL+YlyBEmpegv2VnCKXwo56/xBXXQ+9fmr9/VAIbgy2Vvyd2EFlml4+/VNPjn1klgr/4IBnMC7tfP8mvmirgQpM/tqJUu6IWhj+h8MCv/cl9P9c6oWy3Kn0/4st3SYKyfj/uwiHBnZl+Pz4AmrAm6n0/UzqoJEPSez/Ed+9TIKp6P0gvy0ZufX4/1p0kvCH5dj80D06bqD9vP9KW6aLTaGg/pHHbPaaTbT8sXLucwod5Pzs6fXyvHYU/aLEtPvryjD8tq0gVs5CQP4O7mIsrfo4/XLVY/WPqhT/QYfBrTQh/P50/SCX5y4I/pOqda8/tjD+wusy8tS+SPyoF+VpAZJI/ktwonsVRjT8TTxf9HpyNP80WgeTnGpI/A2trVZA1kD8qYAFWSH2EPz+0Ug7YuF0/13CHFR+Adb9S29ejei6Dv+6YysPzjJu/sURHXJAWoL+Qh4WQ2AGSP5yAg1aGnKA/66CE0nDIpD+2joc1tRikP5wpLHNURp4/Umou2lUWmD/1Ik6W3DmaP6eXg0NoAIg/eB46r6iShj+s5tcw3JiVPwKwpYG3zJA/7GPiNUtEkT8Lk+O5I7SQP7g019GHN44/7obsTZw/jz8Pwd+hR1yPPzs3FWQSx5I/AEhkIBIokT+gBML8SaOTP7QvwnsuEZI/wizsx4KNkT9kkcuWNzuWPzruIrBUj5Q/snw8diSYlT+1PmcUBJeQP39BsPtGCJg/9p/9wkYwlT9khwmP732QP8wr+3U+i44//RDg1kOXiz8CGZSFOD+SP75cxusv5ZM/WTOL5KhnkT+GpFibqGOIPxKilr+NT4w/Kf+iPIJVhz9uQl9P21mHPyItUK7nLIc/G4s//W6Yhj8+DO+1tiSLPxC2LjTtDoc/uYC8zWJwiT8s44yU1h6GPy631ZOm84M/lBeCwfxSiD+6SFCTSXd/P9YfNkkSE4M/PHX0P+mQgD+y4boq68WJP364kR/nlHY/OR4n5H1TiT+W/dEb2O+IPyGdcJskx4Y/Vwy7FobSYj8WJg56CqJyP2hB6bYRDGc/MIodXz04gj+8YHrGljBPP0j6gtlLqHo/mMpzvdZjOL/x0n/g+AFLP+7EE8Tirzg/xcw5lCBOdz8zKCzLmn9wPzn1S62wWWw/gpfJEO4rV791IjT/expaP/aX5wo3D2e/Iu3+bMWMWL/+J/ZOXFlyv/VFp23TVFA/nYyx5oK0g7/+KLgWuJODv38zKb3j2YO/6gLG59a1Tj9j8ES6OLpQP4lNUXMkLEg/dtBWITMWh7+WLQlLIquOv9sx2NwD7mE/4532YqUkVj/XuQUbviuSv/QN4fQ8Vms/SRk5+JNbkL/CR+Cn50WSvzw0wQUYEJO/8pcSRQ6ycz9jbefvzFZ3P46tXcw7zXU/IC0yxaWgkr94ZNlpoeB3P21uqiG60Y+/OMiuxC6Hkr+651GFbSOQv5ELF2Zw5Hc/gjJ1AxlMeT/KLNuMJcCGv+I3/0hQRHk/L6E9teLqfj//ZCb4TYB5P3QcgmXC6Xg/Q1NPw3GifL9k7Fuf+v+Ev25hv61cUXW/TOOgZuuucz9VnDU/KrlmP+oIm0KSy08/BkrEhnQ1JL8oMX3SFGwwv4DoAqm+CAs/MMaHXTToID9CGWGyjEAxPyWJk9FqDGC/+ShxsM0UaL9eaU90ShA+P9Wv6QWCBV4/RdCA6T4Vbz9jzJ1QlGx0P5T8eN+q2nQ/YCnsHjcecj/qDBIVCSRtP+UqtURTvGQ/++mv27QWdD9w9+RszmhwPynp0WnL92Q/beV7ptXrZj+oQBWiXsBlPzKr1ivnUWq/2E/COKfCVL8icIErBfhhv2Dmph3PGCO/VYUQlF7OQj87lqVY2g1OP7WC1nJcwD6/UA36hDWqU79M+NhmCNldv6BYobVnXGW/7gRt97jKar8L7282Oetqv4nfRKLOs2K/7KcM/6Mvob9T+NCemvqhv/6ClEQTRqG/aBojGSgUnr/Sp9DtjfCYv8Tj2afSzpO/kD4E8skMjr+o0jAxJnWFv6GY8PCalXa/PkQ6C5kDbD/iYwX9KbB3P2dDx/xvHn4/tQU9FInHgD85bx2ZSWyAP/o0wF3R4YI/Tc8ermXihj+gjve5w4aJP/JB9YbAZ4o/wkG17EYRij9aDWwJymqFP7xOQHAdBn4/E5UsAD7BdD9N+rXW0Dp2Pz/TUFdKT4I/IQe7GC3Uiz8YP/P9oouQPz0kDvAOW48/bgHEt+Ufhz/Ydh1TvH94P4VtTMNBomk/RC3j8zR+dz9gXrdhTkyJP/Zh/CMcSY0/fG25D7MwkD/UejwW5geOP3psvsSY944/EIl8HlszkT+zRXnEyxySP9yAHDizGIU/pLGZgudjPL9/+6oprVWVv0wAEXfew56/3Ir//m+7ob8y6MjRWg6RPxCDPpB3QJ4/hrABbIsmoj90CXOI+fWfP9JVUdlJypg/DzmFQN5MmD/ETE36Ky2IP5jLLbQ1HYg/nBWSJ+uVgj/cPT9CikiVP+TNw0GiJow/KOsaEoaQiz+X68XwEc6OPyhoqyUPmY4/WXF/7EYhij/Pe9bzfRaOP7UnvXl3t4k/0d+gE6uZkT/r/oL8ZHaRP33I5tdmOo8/SLSYCrfekT/YKfsYW++RP4CzrX6nuJE/WF8Zgd19kz9XaxUkIpeQP5bqaTiGxo4/V1uonR+WlD92SgUDzbeTPx4h0vVDoZI/o+GQj1LHiT9JdSK3vyiQP73/dNdrlpA/VBLHTsfDjz+o8jlS4X6IP6I2J8Fk7IY/YeKUDYaXhD/28lI0SxyMP+T97tIx9Io/UqS5JG+Kgj8+PREcs9eHP3Bz+pT0UIk/ZM5ozUMsiD+zuczVWpSEPx5tNs3rNIQ/Ct5I00MXhj+IwC4GcjWGP7RdFF0cGog/Utdd+TBRhz/Y/g+mBj6CP4g0UpiRrIM/EVHbzFjJgj/EdOoo/JGJP4u3xnLBRYc/DPx/cXARdz+S4XaklVp7P8l4/zLdZoQ/4fN8PW0ScD/twOAB2L5yP8J8jDRPBnE/frKzGEmkgT+V9o3WszSBP1xpfCfm/4A/BMie9jtOVD8X6WIcGJxnP9SnqNAzeno/It7LG0u0eT8HlSZSjONOP7ZB5W03UF4/1xD53P+MUz/ye4SbE6FxP+x7QUecmFe/3BRJaTzPYb/FVxqaK0FpP1WuQlNmQWI/s0DYUgPgYz9f65mB1Gp5v7JcsQZksXG/jhjcTCW/fL/tlDCHAo9PP4Z+9+OUCkw/GrZEGxc6i78KJFUMOCxAv3q4HwLXqpG/Ggax4GqQj7/p8VZuAvKSv6Q9ZLg+vwG/18N7Bjxikr+Cys4Jl3+Vv24Z7MBPG0M/wpH1zGKPZz9dyds8vRtfP3YL6cb8FpW/DtQvhf/Slb/qR573cuiVv2owBCm1LXA/vCZqaOzKkr8peq2KpmyTv0g7Ez8fnXE/Cop6k8pSdz8RPD5j11dwPxgiuUR38Y2/iuQZp8vgkL9U2jaAV8SMv/t6gBTiJnk/EZ0juuWZbz9A3UNFWt5wPxUWx7f6/4W/kDcCS7B7gL/eXoyvRE9xP9t/xdUobnM/cR4JLLy7cj/VTUVeHspyPzyMRVEj+Wu/Eb0VW5vrdr8wayyNFMZdv7xymtkOOGU/pdLZZUUdWj9kgW+vjRdPP+jid6hIvFo/LocaPUGZaz/yf22vxvNNP4AHx6B7He++PNUxq/63Zz8p3ACeQH5sP0g3jwqgFHU/bG9Txh1Fej+etX1sv/t7P8qEUR9wJno/Uswyemkhdz/xCw/Qa2RzP3gC/BEc+nk/Mg0cJBOadT/HGj89OpJwP2NVBncTumY/2k6UrQEKaD/WHpnUk21nP+5/saBPn1m/osDLt1PZUL/GdUMewEROvyfFo/gVymG/oE+CMHiO975U+crj/vNcP/xRUBTot2c/DGJfBM2EXz/Du2QadYtVPz4vhl5v9kY/YrC/Kt1RML9ga8fcfUhRv76xAshfk6G/WCAJLBjvoL95T9lbhJ2gv/x+U3j2ZZu/e3qDpfsflL8MS9qPr1+Lv7ao56v4Q4G/tPXLFHJXcr9Q/6D84e1Rv3g6GAJ6u2Y/p5iYXCJPfT/d/lSQfuqBPx01+F3ZCIM/Be4i/QDigj/GrtnpcFeEP95b2YxB0Ik/vJ9+5O6Djj+dmXWd6YeQP7GlfrTBCJA/SE4zvtCvij9uocfy6HKCP/SrLum8g3g/C8767gxxez/kv6Ke4BWHPyVbOeVdz5A/UZaCYRfGkj+1sjy43sWQP8KSzF+ENYg/8+pIrnGZez+fYXznlg1xPxM3+n64CXs/cEFiVVX4gD+Kv6ea17yOP90SC/gPOJE/uIhgYZF7kD/O4aALFwWRPzqiQWiaU5I/2kxrpVRhjz8KPhszSdODP1d4FYKDSoS/MgatNSCamL8+YpOlm3egv2xD2evuEIM/gIwHGfwmkj/EBJdbV4SZP0hBSZiwLpo//6B/ujCbkj8JpefUzlaSPxkI8+etI4k/+Y5L1xGBiD9yKFKYBw+CP+RVvLRJ+YA/B951ZGXUjj9sqs0U9seOPypn+wn4h4U/+GaKmelTgT+st2uugayRP69quEO5bpE/kgyxVyDzjD8Uu6J4DauJP3G2SonDZ5E/E/59Lo5kkz9y2lO5W+GQP9kCHtazSo8/undXqie/kT8rUmFp4I6RP/K/MIuuppA/oLEOoie2jj+WFQlvJqaJP94sHXswEYg/um33FwRIjT+3fSKOu4eDP/idt6nVhYo/D585+9ebjD8Xl3fgKgeKP+n9QW18UoI/JV/oeeQpgj9j6p9xKxGCP9DqSRp6/Ig/wpPfbdhThD+YJEzFj8WCP0J/9UH4koY/PHOBgOXJiD8AOSyP5BGHP4jY7ye9oYU/TDZ51gCYgz87ZmQRbj+GPxxRtmCVRnw/m4QzpuoSgj8DB9FyWmV8P2qgVKN1u4U/ZxOjSAzhgz+Y7yrMa2GCP915YV5AeHI/lclnePAZgD9lwuToJjpoP4f6Cw7tVXA/8S+t4U7HZz9gYEdmA9l9P3ClirPpFjI/0oAywdv2fD9gE5yBhJhzP15rqqv4wXY/hqDmC+pZZr9n4HSHpEb8vguzmYC9x22/4oJPRy6nbD/Y3sCtw7eCv0E4nMvGzoG//lbKTDAZg78qoKOCPLBNP0JBN3f+fIy/I0YbDokFkL/d85pV1BZCvxOdsLAovFO/EtxiFMW0V79MBcDG3LKUv2AWggdR85O/hlVhX6nhlL9lSvKltJ0zvwk1WMVBO2C/+pdRevYKlr9rOYp4AbWWv4NdkFq4YDG/xR85+y6Nlb9tyB+MoquVvzV1BnzCW5W/wO2dLtpXSz+y1EiR6TxnP3uwMhf8UlE/KEU4I5rUkr+oybpbesqQv8IvME3PQFk/pICw6GWwUT8qgFwtWShRPyaQd3Ufu4W/mt0kQFV1ZT8GZfMsg8VYP/LYUYZQaGA/WkxRuEq9e7/w9wqKmICFv4HdsmtaVnS/ANKWkrSKZz/qsKbjD0xxP+bPKRMZr0G/AGMT0rflZb+u2wfwgXc+PwPnsZN6IHE/yhHO84Fobj8WrSRwYf9vPyZ+yjYvPHI/G2W0XD9YbT/3eK05JpV2P69jYMT0S3s/r+z1Y0AwfT8mU9XwGzqAP7av1wFK0W8/0zYupokCbz8bXjfIFz1wP6URKxHny2c/jGTQTY0oWj8jI7k/PGuBP1kkIBy9i4I/ZmxOyXxogj/iv7QMvliBP2xxkySg4H4/dNEZ5t7ceD8dvuDzmVNxP/V5xQqxb3Y/QxFxwbV5cT86p/51rKxlP9D7PuKvUWs/KFpvW4twZD++STJxFMhlP71Lwkk4jGI/0UFX3Fb8Uz8YOV0gJ0pVPyK21vpL9Vw/bZexDaRoNb+CCXc4rTc/PyvwhlVIAEg/Ps7KGEViZD+0a89OFhphP8UG3B6jJJ2/Oszw2ZLWmb96C3QKGkSRvzYEwNRWyn+/gKyCWCWFSL9I/g/HFRxxP4Qvds2+i4A/khFUPzGjhz/X9R9/VJaOP33x3oGHuZE/B1xzxNJagz/01zCKTbCFP+k38YhsaoQ/xBdkckejiD+j5tEGfmSOP0qJ0AOXfJE/vuqdFUeHkT+srbfQyAGNP96mgComNIM/M2Y3jLXjez+Cp2LofM6AP7teQONG54o/esgNITubkj+d67YyS6SUP3FE8HY+iJM/S0V+tcJukD8S4xXTryOJP5aL6eIBH4Q/VrFAEaMUfT/k5MwHqFqJP5UlgYPGOZI/VNlER36ElD+GYX2Q7TyUPxRjq55yk5M/ffvB3gtdkj+qH+5hOpmLP3yEETDPhW4/ARfnbCj3g7+m7viKTpGWvxZ5mcpbKZ2/CrUvMJLgkj8oaQmxPCCVP0610uEnTpQ/QHmaOAA7jT9HLVMYHROSP1mgmAh5xoc/DFX8CKSViT9suhfSUQOLP+aijZBdjYc/Fj7vMsLddj/PpHY9mK1+P26eOSDRZG4/MklJgzcPkD9TKY4EW8qPPwWYCrZtkHY/So/L126Wcj/k2TNdok2RPxSCb4UAm4U/WjT1iJLngz9mq/TrtD+RP88JeMFYMpE/DZ+BUOgNkT9x8uVWKViQP3qilDYgKI0/PX9fG+xDjz/ltRgmpRCOP2SkZ+YAXI8/EE/dUP6Cjz8oBjDIhyqPP9jm/0XF24k/QNcpavsUjT8zXY9cAA2NPwyW1bm8Poc/IzuxllfHhD9RtKmvuQ6FP4iLDOTGDIs/SFFVkAspjD/0fDSwX3aLP+A1VcDIR4E/y2B+M1sSiT/4KwjZNT6JP6Y91zLNroE/ChCwX9Qshj9xggpODxiHP0fyc3RnuYU/utMoqEmKgz97Ms1Tw6mEPwmXpsYv7YM/h2nu49RKgz8re3XqBbKBP8vUWpNHEoY/KOXp+oA4gz+JxvZWIcx4PwRlTLZOJno/kug08CJweD8y5Dep27KAP0Xv5cIkhXE/go6NnIDgbD+Eqp9Qxcl/PzS3qFxxNX8/wOXSPIxDfj+2kREDv5NXP1CmYvWHKVs/ykBdaWyyUD+sOmCAQ9N9P76E99fRWX0/Hzmj9l/WIT9skiVbDBFiv4c9qbhD7Hk/us68ll1Vdb9D7TY0F29wv95ht5xCTXq/h2qoYGiZcT9PBV/298WHvxkaHi5vVnA/GlZlIcZWUD+mRbZ2Gt1RPx24qFy2xpC/5uaohpo7ir/nKzKI6TyRv7YPIvKN32C/UPo8t3u3lL9lzfYnk7xrv6eyzcN0B5a/ShoOGPjklL/svSZDpmKUvz7EMvOY3Wi/khySjdkkVr+jDA97fBNpv5838V5KFZG/8WTVNjbJYb9DNaOBs+KMv49Ym+qN/o6/b0U55zeVib90aMa8+qhhv+9NvF7g91u/uW2Iu5ymhb91fU6Ehq+Av1KBux8ktFm/6lNPGBUNWj+OcruQODJRP7gNcBpyP1w/0tMcG4Tycb8a+eqAibB9vyQySvHRqmy/HMunXL2zcT+eXJoBUBNsP2tuiugdV3c/lKQ1/cAxdz+fDsTM/BJ/P8oa7y1RIUo/vCZrg9tBVr9M7m5HcOpUP8qNvLTlbn8/l4w47jSEgD93UBsEpLOAPz21zhkNsoI/ti2PeJSUgj9Q5UhQjM2EP0UjFKHX24U/sqSuVEQVhz+MD+6EwnyIP0gO5cfb4Ig/UJwWMhALiT+e5xfqi31uP9O/2RiHSW0/ndqipRLUbj8SyX0DEpRiP+4cB6muf4g/EizT5EsThj8TWU3V61qCP8wZwH6J3ns/sn9RBTX5cz8bq3egUdBsP9mWU+Xwh2Q/uGCMlgezZz+3jYhdzElhP2G0bs/fBGM/ZocZY4YMYD+H9Hme61pdPw/yGDBlGmU/RdpELFrMnL8icnSpTcGSv4vi0djef5S/pZemOCM3kb/sF5plCmSAv2ukX97NXFs/EhtzQSjZgj82rXVu44KOP92d5CJfUpQ/y59jZTSomD/VfUl9QZybP0cT+Xwz4Zs/FlZNvLQKhz99aE/+rxuHP52PYB6CSIU/AC7hVFUKjT8m6XVvKiSRP+uxsAEhRpE/1AEX5d27jD/G94poVCKDPwQhHXVwoIA/dlJQxB0phD9XbsfuDyyMP+ass3lrL5I/1rdUaXBAlD/TsLjFD86UPw55rP3GyZM/OuoVf1JCkT8EJpqG9/GMP8/esOVNxos/dCKCCFrfkD8lFEgk2qSVP7nFZqc96Zg/bf0WHDf5mD+wpoAz/UWWP1LlWiG+xpE/PCHrZg/ohz8n6purcQdxP7I8+vpZcXa/uPOBw6kCj79LdRzHK6ObP0rreKe3yZc/Zsf4wHCUjj8SYDnjYJGFP16XUDuWTIQ/0NMjSe5NjT83SXBBnwWNP3AcBkCyMIc/YRG6fSOhdD+yXfrM+8RgP8iZ5GzdB04/gjCJHTAYkD/AEMBfQEWQP8nXTpi+k2A/y3+uRuBNYT9xVj1/jEqRP5f2h32jDZE/+GC8/mHagT/2pAYmtrVyP4RL56/a3YE/8uWEtXOukD8rTnowPgONP2gTNX3R6Y0/VHkK6pCJjz/S3PaZGeeQPx/12EtdRo4/yMwpJG0eiz+ij9D2pMuLPwhiZjLoW44/XQFg19f1kD/zoqCgXU2QP0CL6iLyYoY/9xkCl0jUjT/qxNGWpt2BP8ddzPK31Ig/Gazvb2JFjT/0ZiW+z4KHP4lQBWlfoIE/3r0CBuVZgT9snNybC8OAP0SHBmcadII/IFC76+R6gj8OjMcaOn1/P3H20X9GAoE/xBB8+6IFfT++XBxouKmCP6RMhMzkIXM/rgn99EK/gT+KHuYzuFuAP5IFQsLkQX8/7qd6JV00ZD9MFfmd0eRsPyjskWVduFg/gXC11kDLez8QK0pt7HVhv6I/9aTH2Hs/WiyhQvfwar+J/mSpAvtivy7ymqM7rXa/xEgApWKmej99OMfMpKt5P6f6CS17VXk/1Vl6rcnPgb+F1+Tj4deAv6YBBsRPn4K/5rDlll2kcT+Qokc+uBhyP+wdNQN9YYi/1br7+oBNir8BgYwZi1VaP1TzYVqIKJG/duNn4eAqj7/u4w6gNtaQv0PTGLHLNku/n9JzwzOwWr+s8AuShBtcv4kubf1xjpS/Fr9begEhkr8mY7r+e15sv/adGsl8S3K/8KF30zOnkL+G6z3U0Y2QvwPczwVzmo+/JXerpduYcr8obAtabAhzv6RLkwS3KnS/htTMi90GkL8Rzf4CGxOIvzBvYXVX/GK/9/Og7vSfcr/1uTiYj4Nyv7QFQ5kWn3K/N7lnHCyyhL+ec4ejyZiEvy7oMHtxd4O/MRW9DWIAX7/s8ld2b7drv0SkNJbdEGe/JgFvUFbxZr9V2A1+o3+Av4Nk4ZlhCXu/Mn+/+3khYj/K536lSgFFvw7bMBXvxW8/+MO9LtUiaT+iofC04Zl0P8rjaLq6F2u/rAc5MFOkdL+9erIad69lv71TmMbGuX8/F7I5bSVUeT+gnaZEyfWBP/cCVW1iB4A/LlCcZYtzgz9lPajT5QCCP9NsnIZ+D4U/BH6F2qTcgz//FQSV+P6GP1HKJW96YIY/gBg9TGxLiD8xoEhT421UP6zpTaC2fTe/v+5iDk88Vz8QWf+94Z2IP71ft3cNFYo/1Il50LJeiT8uVi+K1n2JP2eSS5uxBIg/HoCklztMhz8pObS+OxKFP0qIz7HUPYQ/5bWIXZNTgT8P3OcxBPiAPxSzLBwzIn8/tm7SNP03az9+mYHydEpqPyHrjGz+YWw/ds9cyIcGYj+cBANHUn97P8yYtos5v3U/U28fmTlQcT/HdcbzaNZrPw7fLqha3Wg/nsnCqiheaD/qyLdl4n9pP3VS4FoaWXu/u1Y2kdmJdL+J06vJef92v6DeePclwoK/lZdIgr5tfr/ZfvQKJDhDvy4tnhZDmYA/qOHRDUqLkD/BGJM9c+qXP0c6T0nQgp4/7UF2HRmWoT8z4KEafz+iP2MMKqIeHaI/ap4+i0yjij9UVUTI/h+JP2ur74+CzIg/U6Ozt5GDkD+ePoRFJRaQP0hse6azU4s/BgU21bY5gz+q/PFdavuDPy0y8++kYoc/cCUy3Bitiz+ct3A81eiQP3GKGq7kx5M/3LDTWlghlj8AMrQeWKGWP9+99VSu5ZQ/2nmdwYgPkj90FtCakGqQP/Qp1gQFIZI/GbmhgTHvlj9WHFA0JUibP/AyB30Dlps/RgRYnXg+lz/ZTtsI042QP07CQj2FjoU/tR5ZPKBIeD/PHZXMOipBP3Bb6mvSPaA/4nRwVIoXmD93gv61wZmKP3QUtaOCO48/eJr2KpuojT+SX3DYmI+PPzbc3sy7eY0/gf9eZ+unhz9Zjf3ZI71hP4rKEUjg+mw/PIAOvR1KkT+5Y1luplCRP0r2r7Wo7Wg/UMt4WAo2YT/hQv7BlxVxP4xYfqKC4JE/ku18puBukT9Ti0UigIqHPxlH0QegvpE/nPFDifGZkT8wraaJFamRPydxrRG3pZE/QDQJcs7qjz9qgyn9DoaSP+DalmQg/Y8/dkzjehRZkD+XeZV0r12RP6k9u+SUB5Q/AodEV2cpjT9pn8Rdh9KRP4yf1rAmU5M/IBTknhI7kj96UA7OpWmIP60DBeUM6I0/HD9PCUgEjj9GGtnf/oWHPxE5ViMrM4I/lc2EudUkgz8c7PqljIiFPx7WdOA3AIg/U5kq8mc+hT8SjkPEWU2CP7yoboFodYE/RF++wiL4fT9vkV2g042EPy5wptPRunU/oUBclvcYdj+1+e3Qzy51P6Rwz4uOlIQ/kEOpLIYEgz8Swozh6U+DP14g9/7ze3A/4ilbj9CfYT+RI6081Id/PwdoU2v0AFS/1ekRArV9Sb+2jVCIVZ5gvx5auHqtEns/zLxM6XGyYr8ZK7xQU3N1v6xzQOcGeXo/tHOT82itej86MoFcjRF5P0G2xC6cIXy/s8lpSb2geb8iVK8+Brl+v4LxazouvXc/sWPBm3ILhL/ml+QLhrJ0P67wrkOWWYq/KqbyVKwMhb/4nQI/JlyJvxAJi22LD3M/xJY7z+GsYj/WkcltMANmP5QF5JotpY6/mJjo9I3uR7+5x2e2qC2Rv7DbFS3rxY6/HlLO8UG8jb8+LOs1pLZSv07hvPOz/3C//Haqm9E0cL/byCL1S1eHv2p95vfGuHW/vgX0F9cHcr96+vz9SIl1v8SSaBTkiYW/H7mVOXgQhr8rtQw/Zm2CvzAypQXWzXa/3I14tM07dr/Sn08NZAh1v2Ma+kaGzH+/IoUYvRCPZ79kiQra7dB0v2YiYTpoLFq/ChuqvAhqZ7+WD2h0ySpDP4CuDn1JOPg+5s6WzLKiYj+wu/H1CDx6v4aVs25B2X6/iHx84XSDdb8IGMILMLJ3P2+hJQgYfmQ/IPW3k6aBfD/H6hPAhvN+P2KtP+G7BXE/WCOVB8kCgD8VkQwcOeV1P87CbmSPG4A/C+sypo9UeT/jCNqrIQmAPzu7lwviqX0/Qi0OwEytfz/QeAFphB1ivwPD0V/2z2m/SIZ3ex0SXb8kl36FqKuIP4AyjxK8kYA/nJ2PYI23iD+Wz+c6aMKGP2YoZQdPo4A//8jInPJVgz8nwgjnfhJ/P75GvIIH4n4/e/bR8lbSez9nwFT9QUV5P2VeOYo3pFU/YEncGFekAT/ZweNqwLBbP5qFl89HTHc/bvCoRKTDez+ilnp5zpdzPx+W5UDGjHY/ArVvwqfBcT+Kijr4VddyP3WFl5VuOXE/QGGt0r81cD98pRhxdXFwP5CkCyHoZ20/FBpPgClGbj/yMhXeZD5rP5p2kcD4JGs//e9n4h5Eaj8RKr1C4l5nP+g6aDnYUmE/l2bnWKwecT/MU8oA3HV8P/AgOPcq0nc/DXCvgc5TcD+UuWRAVStlP8Igr63Ru2s/eum8pUKFfj+cTWxLUxGNP+o+uZZr4JY/Yvda7kuAnz9Ow4QZ/ICjP0EzQHjhf6U/3PbaWiXeoj94Y2OW3h+lP24rRbeGM4w/WFUttq9SjT9gb1E5PiiLPwBW6lMwnog/4CW2Z7+ejT+ix2XtUDiKP+TgrtVQLok/5hREyoNlhz9R3aNxkMOKP1ovOAvtaY8/QKG03vcFkT8K+7FS0+uTPwllS5yXqpY/ZK9eov8Qlz+GcPJKpAaVPzddBGjpI5I/6+lMfD5vkD/6l61Jxt+RP/bR/Ti3w5Y/bvM8UoGhmz/kmLXYhRGcP7ymKC7l9pY/jY+8Vh/ljj/w5bvackuEP+CV7hhVnH4/BnDI5zKQpD8U4q4IZJigP9/kfoOxMZY/ykV02Ioplz8lc6bgvz6QP/O4tJJmQJA/HkY2/81Njj9BzfihYvCVPxtrGKZqaIU/pb+VLzP2hz/O7Hwr6eORPxlEm2zBDZE/f5HrY6DMhj8SdbvsqAN2PyiueirbYIY/pxQvWn7+kT+kMro9ca2SP0dvif/AX4k/NamwlhxKkT8+PDWUZWuSP63xTn3FEZc/zEajHT4pkT8HQOgDcR6VP5cxovowFpc/uKZX8X3olj/S3D4CWBeQPyajfUHfGo4/LIIsGCBfjj/82kLh4Z+TPywBFycEf4g/LR1Zc0OBiT9MoBm4KJqNP8AL/GTpRJM/DDHqczYFjj+2FV4ldLCFP49f83ELeYQ/Ip5c4B3OhT+o2+qSFUF6P4AIRKPuF4I/CK9ljjF2eD8h/H5rhjiGP2qLWugyTYU/qoJVI03yhj+C33gZL09nPzQL6G8m2oQ/Jfob9A8JQT9g3/kvRbJeP3i/UI3APkq/GbGdQ6hOgD9G1Z4QM71wv1FCre+ENH8/1mgfNVjHej/mPl4zsZd6PxbJeFR1ine/RisjnNsjcr8SlemzhUF4v+QD8aLvqXk/eR7M2F3zfL8OaZOjgcN8v3UT32rC4Hy/JYTZzkSbej+EaHm7KjV6P6aKUHdNiHo/wrK4w5fhg79PBaKQ1N+Bv5fiaSnYcnU/qA4nUThVeT++GDrvO32HvxSe3tBr64S/IthijjRhhr9Kf8Wat59wP4HMASlkg3U/2+eP8kvCcT80WBvhQYyOv9i28psVRIm/sJXkluNuQb88qvFz9tJYP3yut+/n2kE/8hOmoIhYSD+eB1mhIjqJv0At1n2NaYi/PgK6OxKCh7+BUzaxmu1sv635s/BNm1K/7Ffs54aWY79e3Oyk2udZv6aHSpLQ8Ya/MYIXEavCgr92SkEWOIh0v50stXMjeFu/Vcc4HBsobr+uX8jUoMRHv6IezKMr+Tu/etzFTWz8Hb87iuV7FCqBvx0lxnjTBYG/h8KrIxGYgL8G2sJjUuN0v2KRsnSEVWq/wRtMwcxMTD+oaDYXpGBOv4Rb2G3nSzw/QP6uD8a8VD/0U8DaeeJQP1pDNjcYw1Q/m7lu3AMeWD9k7geXQHRYP4TpmUL181g/ok0muF4UgL9KjEIZXiB8v/6JB95D5WM/M5P5rfAXaz+4ffOnR3ttP6Jg4D8hOVs/fmKY+LnYaj8pgmrusAZmP0cDd+SaI1o/emC9aVmFYj8xcI4CssVbP3zXEA22RWE/kLVGRE1idL/lWaRCcxF5v+gnTQz2onK/kUVrpGB4fT8uvLq8YVJhPzD8kLSPe3g/x9EAfVPDcj9SpVqJ6whiP0mXvpr9PWk/o3VWzRUJXj/eslKFhfZbP46dqqzDqVU/KQJwlGW+Uz8EeJ2Un3xev2oliMKHSGy/ePYVQyVCWr+PrZM2du12P6zzf9iYqlI/2C8ZZ2e2bj9YJXP0he5nP7j5tg3j1Fk/ZmWAvvA3aT9ssUW9g3NkPz2WL6w2/2w/R6XujrrRaj9A6v1wGL5sP2rDTFrFn2o/DkVuKYrhZj/+Fe1XG6JiP3lZdhn0BGA/5RKxvyCMRD/x6x38ztRZP7qrPn72flO/9+vQHQmamj9ZJ/suXjyaP51iLt5ei5o/6QYv+xU3mz88N8VrAYebP6Ea6foz7pY/R+qUHqLglj/HCruWm1yQP3Dmlgc2CZA/mG9eJovlhz9UP04A//uFP2xDZO2a64U/2Ptkr6xPgD9T2NslzReIPzAvMc9WW4s/fh5nV7ZmjT+ZAPL8qrGOP9ezQBgyIJE/3tK4E5yGlT8wmPUlKJqcPw2wrOoWbKI/HeySD3j6pT+Z+q3QgDunP4+UXDmGSqc/7DjQK3F/jj/tIIRFVkKOP9BaGuBHEYs/KCfB9kdDhj9s9BTNtqqDP7S2vokrW4U/IGgwG4OWjz/Wku239ViRPyxL+G+bx5E/YmXX1629kj+icxkzdDqVP4QZiv3CNpc/TDObfgOflj+CNxA2EQ6UP4PPdQfIo5E/VKcZuznLkD+c0KpySUqSP89mslt1UpY/WKFoN0BUpz+qUDdzTEakPzbRShJnq50/w+LMf9lPnT+80xGfTYKPP4+4VMDwgY8/MFbmr5oljz+euhesiG6UP5zpMjZaeJQ/5saSBMTNkT/u3O0tv2eRP11cpgfEg48/ZMeGqXlzlD/yHXdL3JyMP4bjPwbwCZM/TzX8T6jukj9vYr6I8QKTP4L/u5OAuJM/DWUDYEA5lz9afTl7nduSP3jKmeOaT5M/JNTQpccVlz8wHP1XeeuaP/R4VYhyV5E/+fhJTzAHkj/3Bec+MKGYP60jnXIl5po/JggcY6GWmT9+hAskJ6KPP81Pg4eao5M/T29giA0RlT/iCGF9QcuKPzAYnKoPT44/QuaL/HUWkj9R1RMMOwqPP8QyT9E1yIg/7WcvZaXWhj+hoAmujkWHP11qGiFC6oM/D+ZpEIiLhD9NHH/1pPGFP68JiuL4yYY/5ylwI7CudT+WK5zTfyp+Px7/wvnKkHU/Wvb0Y+Jchz8P4WqZrvljP3U4Mb4fTVo/9uW4We7IhD/WtVsm2YmEP6dhSN01h4Q/0ojjY78UVb+dATWM7KMyv7pCIp2QbVS/iuyRjbEggD+GjhPN8/R/Pz7ZKbhk8XC/ODn24/eIab9Ui3NBYml9P4zM+Clsy3K/MESPB9f6br+7zJdt+OFwv+QmcJOnHX8/Q6/WWrSqfT8rsj0mDwqAP0D99Y3ds3W/i9c7jsozgT/dikoJ+iyAv5DF2LpxTni/8p9uuqP6e7/AC7Klv2OBP35jNaIeL30/gtamBVYPgD8reHNIxhOBvy8aoWMeaXQ/O4vWGWTkfD8SAy8AmLd0P4Lo1tHB6oa/9l+2v/vKgb8M5ZuqG6CCv15WctKyKlA/vL97h5fccD82bD1ciPBcP1YjIcZbjmA//lpayfUrYD/824xAEFSBv4VidJMKiEm/gkwA+OlUZT9s57INl4xVP+g/2q1l/mw/l/vcQ4FxcD+/1auOOXFxP15C+FcigYG/FbqZWrKwgL+qoB0MGaV+v2HRMAxSCFk/ppKn0gRecT+K7HFoOYBhP5MeGDn3cF8/Hc2WECZTaz8Iv+qEqstgP38ayw8/5Gc/g2DXkmgVZj91SoRjTD9qP6mgIM+NjGs/8VZ39CTebD+VSzPqJDdsP+WqtmTgcny/c1y6m8UafL9PKegEiA58v+mhp6IcHVk/1ZF1oMC7Vz/dD5p7OolpP0iUhhCTFVc/itd392bYVz/oM0KKFdZjPzw9xYCBFFs/rIXBq9ieYT9C94KQc49hP5A1Kyt63mI/u12Embg6ZD/FUlZoJbx7v+QDJ0gzOHm/nx1pB25BYT8geg7z7upcPx2Y+HvoHFQ/Onqy/VtWYz8Iu0lQ+OlOP3TdY/95Tlc/kkUu/PmvYz+34fqvV/BkPyMGm3Sngmc/BiwFDapbaz94KESDLBt0v64zz4DAkXa/yD7aa58XcL9eNWHyP3Jzv59YtzOzE3m/sryV+lrcUD9ebotDmXhUP4JDIMfdD2w/gL+Di7N2Yj+eEPFyxb9oP2sONX+BvGo/iVnveVsmZT+okLFExwphP//wdF4dTk0/uMLuKe0GPr+ZFaxJXexNv4oXrziYAWy/mQ/T9wMZXL/YmgoeAn+VPyMvM4mSHpU/D4ylbpxclT8pHXlaKL2XPz3yN8huppg/Bh4Os2l6lj9DSA1XhG6SPxCi0vqahY8/JigR+09BkD/cwXMi2EWTP7+ZfMd6zZY/RwljnEDSmD82t8VmMRSZPxGPc3+EL5k/ptp0IndPmz9ln5+hUCmgP3FO/Nixg6M/bDL3bnNbpj8k1kISLg+lP2xLAKw9to8/2H6yvVDVjz9k5g1OMqCNP/XYuitEkok/kg6zEp52iT/jKBB9AyeMPz75DmMCp5I/kCx0ubpdkz/yTxqlDnuUP7gTipGKbpY/Xvg3Jy9qlz/w1TGe8AiWP1kvsxkPdpM/ajFQXlP4kT8ABQqCSimSP2V1W71EVZM/c83jSdcQpj/ivOGrK2qlP/S8SP77zKA/mn62dkOknT+J1SQuKI6gP3XLcJOTuJA/twepUEvPkD8xBFkjWgaRP8PNICtWw5o/4/GoyIRfmj+snpiFV56RP1piVDJHMpI/EeW8LuJSkT+CGpRMjPeWP/sySM+paZk/UtexoxGxkz+g6VnX50WUP/pnNsBOjZo/eAOB+FMrnD/UUQQCPnWUP0wHvXfZMZU/+oaxjCrUmz8MQFWMa7GdP8QT0cJoMZM/HHBdi80mlD8xDYgcp+OaP7zhn1MbGps/iS7p7rPomj82+gCgTIGQP5rQjcD3lpE/EfdAR3b4lD+WoA5DDjKVPydIoJhSG4s/Hl/4oX8WjT9AxTgwHUePP7j/c6jQmo8/O6iVd3NNjz+eJBsYp6WIP4qmu0jWS4Q/ptzuE1lvhT9QjaGPAdyGPxORWiwVl3o/b1+43M7Dhj/iQzB0FwmGPxaf3ZGvRoU/5s5TqFNaYD+vco6D5pB6PzW/WnsiT2k/5e0/O+9Ggj/kbTrEMd5PP0/70swnDoA/hvj+PQAGYL8Z8/tOXMdGP+peieCl8UC/JBm11585gD9lQ1zfCvp+Pw4PbLyxYoE/YPGo6JeoWb8WPr5dN5eEPyHNY3AnZnO/rPwVyPBGXL+R+ilUDApov27lb/sI0IQ/sY4RyoNMgj+uin1nxrqEP3uU0eSxZnG/ZpPEoxAXcb+y2NAvNjdxv1Z61UwyyIA/nrvSuguihD+TZRKxbVqAP6DZy8ZNvIA/VYshnvM/gD/0uZK35wWAv16jqQrZxXW/gMOdRLhodD/CCwIRRex3P7+Qw+IPTXI/Kq5Ui0E9dD/NBbTGDzJ5vykNBrhIz3i/KEvADCreeL8yB3H9NCFnP3N2OiXX6XM/De5fFZ+ecD9bfaEXYPZ0P/bZdYBRO3I/00bnuImpdD+xGpc1ChlxPxniRI/uE3I/KrTYrv2zcD/S3HLXF4GAv+eeo0f5IHi/xX/I1/mKcT+g8dr1h/ZsPyLX8IumAnA//WqWNixVaj/2dPOzsNdsP0xf8qWBXW4/vZiVfpn4bz8i20Qn9eluP/pI4ZQo8W8/iM5VKVuYbz92xC8uCZZuP0ryF1wk4G8/Qatq7YGFcD+VN98vYK1wP25suy+O2XA/Q+XErV9Leb86w9hHOUp2v7x6UlXU/nO/UCU0OV8raz+QwWhkIiZnP3uXDg2b8mU/UcrIvZI+cD95z/scxxRpP7E5QW+neG8/+pEpFqQrcT8+65/L6i10P0mx9O4hX3Q/qruABBITdT8tQ/bULod2vxmVwUInSnK/4JcVpgdCdL9InPccOyNnP2S+JUWmW24/zWWcIF3AdT+VYzqyGnxyPyM5G4un3nI/dpsd3OIFdD82LPDDkfNsP6L8cF8SiGw/3f2QNow4UT+2l8GTmfZOP17cXdxC2GO/GiaZPsKgZL8+EVRTy6t1v3SS8e7do3S/lspf2aPUeb+QVy1w40p1vzU7ewG/LHm/IuauD16ubT9J3hfWLXVtPwjJxmRnYGA/DidWsmJGTb8kKp42OJZtv0WY2+YsBJQ/Fs+fV3T3kz/4LxOlmnSUP+Pw/MTxe5U/l4Aqw/dXlT/EIE9gReeTPxzh1VytVJM/I/0PhIt5lT/u25rk/MKZP94BarFjr50/f6UHznJVnz9CyG5HNuyeP8bUHmIGHJ4/hEiFSG/gnj+D+aViKRqhP5S/1OCEkaM/H7qEV09IoT+Cuccsw+ePP7jI8+2WsY8/FM9AOks5kD/G/BWtIPWPPxdebR7aZo4/RA7wTbAGjj/udM8trlaOP8SsuMNRj48/QCdN2KZElT8GXQTQT+GVP6CnYfOdsJQ/iS5aKpfYkj/SV5oIKFOSP4Q5tT/aN5M/H1fSc7Dukz9engcZ57aiPyra8JaLJqM/7mnZ8Dm8oD9yxo7qCKugP/Jx2oYBu6A/c7UWMVwikj+ltNYyRAyTPzMPDcYr/5I/JEkYhdNnkT8MJ4aDZJmgP4OcJuF8zJs/47e9npLtmz8ZGoLh3J+aPzhcB6vzFZM/7fPLXJ8llT+yOtxMqfSUP+6EptmB3ps/n2v8f7zbmz9THc6HhMqbP8JqOPc0lJU/SC3v+NM0lz/8gQkzwiWeP0iCW0mQ950/pDr6Aw6glj/QWba8TBSYPxIdTYJ5MJ4/p4IjowyynT/+yjefKKWVP0jbn3glLZc/6ZHd7lpamT8kGxMkIxOTP6hnr1V9z5Q/WVAY7ZLKkz9Qe2f7YkCXPxHlYg73NJM/oEdhKQlyjz8UVb+zE5WRPy4nQlJJTI0/HWbjd3rAiT8K2m/IQjeNPyIOPBFbxoU/6nbO1SvoiT8FNrnxSHKGP2MSZ9Ai64Y/bTpnx7b8iD85bafux5d6P+0KE9v55YA/rfL/LqA0hT+oLekdmS10P970ocMzYXw/qWNXNxjWdz8xgkxFnfSEP6tGubrOn4E/t4DPos0rgj9Cx/9/6g9UPyFh9GPsk3A/DIMOKvoBgD+8YqyjVBCCP0uuTPTKrWA/dBrGHfwpbD+NBnZypZppP4ympO5Q/4M/QaGQdBgThD9/RYzFc8+EPzefb3UNWla/9Lz5ZF0ZYz8PrhbK676EP9BRC6X/kYY/6Z3Z6EY4hj8hItaYISOGP1lZ7woG2Ui/2GnRcy1TVz8oq0AGFp08P3Of9XsOuIQ/yAKSfoX/gz8O3yFLGoiCPz7l/ZnMjYE/WOpH7jyyXL85mTLoQIR7PzmWHrdvW4A/iTWAWV5iej9Or5bShdV8PzBqtBFJLnw/6MJW2b2EcL/02mgbpAdkv91z6qwdtmq/GuAR7v0sdD/sRoQdxRR8P3w1/lYgbHU/wAwuY3uedT+ga+BJq257P3ekgvAI5XQ/bKcv4axsej9d+SlZAp50P0ioQf7EEXk/zO6mFDZAdD+ozAkErgR3P+HQnFPRzXM/lcswHEr3dD93R7yZfpx0P3gQL8cXlG6/hru5cxsfcD90GwXtQsluP554gIcUwG4/JgLSLByBdD/+K/YpirRvPyas8IbL83A/5nbqc5ohdT/ZNXD7Y2FyPwK2+MHUhHU/kmJJhXlQcz+UKU4bS9d0P650sASfs3Q/PAkNFV8fdb/RFPbOHIhuv9oS1yR5xWO/tsjS9azfcD/sTK1EPJN0PzIugwpx8nA/8wL4DbU5cj8UEzF2IO1zP0J5+ruRA3Q/P1KPZbmQdD+/BhBHZqxyP9WBP3cEsXI/iHd7f3Yzcj8gk7veXeplv5JXOEhE012/tMz2FM2AY7+If08tMoRuv9BYqtrooWK/ADQgBD6hdT+iBcWKtq5yP35s86C4e2Q//CapWsG7ZD9+ZzGdgnI4v+J2lasXEiy/uL41oLrmab8ibKOOgaVivwZpbgF9Z3O/IXL4bcUHZL8unWPVuTR0v0MPzbPwwpM/TlDLkOj2kj9II0ixr6mSP8Uh/zSIlJI/W8oTobZlkz/b/G9XpbGTPxxVyzqJ8JQ/PQs/vKC/mD+4uwFp2jCeP6dRqh9hQqE/QLE9b8MVoj+NAYTv4tihP+xniIZyV6E/MMxAn7rAoD8T0vb6ul6hP0X/K0K1KKE/k4gQ+pYWkD8rBIADfeuOP+yE9iAW6o0/OG5K+4aajT8M7alWyP+NP7gb1BEOFY4/LOX6vBwyjj/2xZRVcSGOP7sDv/GGxYw/VufqzcnYij8m3OhcNESKP07114mpf5E/lkqZ+PUekj9UkEyh42yRP396XPZ4IJE/e392Xi1Ukj8Hr/HSWh6hP8GDkOMN/aA/NRsxZAFQoD+ulRdLnUSfP4gKquNh650/GIHdjnQ+kz8iqqaliE6TP0PEoCRQ35I/0QEfq8OLkj80uBhU/EeQPxOv3FSPlo0/64ViIjbsjD/cZBYtRnqNP4XAu3tNbZw/DFitYxVPmj+Cf68NjT2ZP33KBlGkQ5U/yAheM9MZlj/jzK4zW6mWPwTc8pu6ipU/1i11J0JtmT+5TJ+00L6bP6GtvcIPeZk/HGMvPJSglz/J7deYKsGYP0qHznsv0pg/9DxbV+JcnT8+9xDB1GSbP26dKNn6tpg/fbpNECunmT8Guus/UBuZP3Y+dbx9w5w/qmEh/Wi3mj9SJTQV4SuYP6DWyJsdRZk/PE/zJ2rPmD9jYZAX7y2WPy4LUT/RRZY/ENfTAPTxlz++2fBXByWRP0wiCjtRZ5M/qZYer2rRkD/9HTTWND6TP1w9FaRiiZU/4T9mHy01jD+bcEN8TRWLP7q0vifBx48/rx+tMJBckj936E+t3JiHP8v8CmMlJIo/PM7SKa15jj/Us84EeL2BP+ZmMqJJSYc/Uhih/gMthD/Q9ko8TEWFPxIYLsJXMok//CP5WcOSgT/53Yjj6QKFPyM1h8ml3og/d/tS3fTZhT+JzRDFw9x1P0SPvexOGIE/SNXXmd5Jfz9OzdxiiH6DPwKvGgVi9IU/GcD4mBkhfz86bon2ms2GP7jv3jRxAIc/9gd5HCwNhz/aD2ek4ndvP5o/gc+elX4/j8HJYvCdeT96eXAiVtqEP66kYbsHiIY/J28tCpxwgz8bnuUwzmdpP+hRcRWjZIA/EKkBHO5Tgz9G3qHHxJ9+P8h1TMYIkYE/f3MIvZOafz9VruTdtuqAP1rWpFIhJ4A/jBnrPNYUVr9GZGXMtIpoPzykSXLCn0K/jAxKZSYVfD8Jg1IExBaAP8EWjPpOkns/X36q4acxez9Gmj2uE1F+PyyqOy7fAXs/pNUKt/LjfT/WwzPTt1B6P1kaRH1ywX0/8U02YD9weT8NXuvR7gF9P8iXS5ZuWnk/qJzddK8jfD9udinHdWF6P7o53iNlvns/GodR9kSsez+9EUniC21kv7RbQAuPDFm/RYOBqHA1YL9nbcGvZo10P9G3I2PUWXU/qEqsMWaBez8P300Ajbd1Pwwrx2TVAnU/uKkK7K5bej+mzod1YFh0P/ZytU1Y6Hc/jNkATAr9cz90kfcREN90P9L7/5l9anM/R9ZA3lwoW793JN6N+2lWv4E9gf5qx0G/dJFicvPrbb91hpXdyJd0P1Mkk7FshnM/nmSXs0BFcT8rqkiTGE9yPyomCv7Bimw/Tn1HwMNXaT/1uKGkb5FfP12FF02dsF4/TKqJ6Q0XQj9axiQ8bZdHPyqfo9tGITa/nJhl7T5UGj/O4N+mJExGv2C+3dLbv/8+EeZ64Uy9Tr/bfHrEKXgpv2AGdY8vRGK//aOZnLc3Yz90kx3kRf4qvyHP4bRMEWC/AJYGEBCdY79l1vXQUreSP705EfeshZI/dFAGTa8KlT9WIUCvBy2ZP1fHuUJx9Z4/tRY79O3moT+yGCn74AqjPwUAO9Yp6KI/zcjLwW/zoT/q+21BpBCOP9RbquViYo0/y0MQSO0jjT9WYGHe2MmLP4KPEkAOjIs/CM6aapVQjD/QDabb9z2MP4ZlgBFoCYs/nGYqb7vmij/ZHbI7qCKKP8PbT1V7kos/tH4YtIBLjT8S9S4+LVSOP2Pb/UyOypM/1+qjiGtNmD/ncZZgBzeeP+FALpOYnKE/SLDXlKLqoj/RrXfYuviiP61dhPJrJaI/uOr71O72nD9rksuQFPicP54uTFTzKJ0/zqU8UvFknT8HrZFGSnuSP7rzldVMXpA/JjwGCJmOjT9pgRAe8FiMP3IpSyOzvYs/JL3EOF7Tij/CexhQjyuKP6GPW3DH+ok/kQSO86H7iT9blaZscLKKPzbi2y4OR4s/SYPIeScUjD8deQs7hzeMP3HlwlBadpw/6PSUdz+blz/T5ZyucZqXP5xhpFJ+hZg/Ls9JoPkulj+miZ8H2vWTPxCi/sRlbJE/+Nfr5/zsjj+ZSd3jZFWMP1N1/HhRTIw/Ts2mFp6Tij+kDYuF4zyJP99ExBiwDYk/Z2AJUdfjiT+IJIE5/oaXP6Lgg1iaVJY/Qw61aRANlz9hfD7DxkaZP7mHQJTmtJY/f+nv6tT0kz9tWmDJHjKTP2B8cKjIaZE/lLvg0AWwjj+F2h7LiJeXP1e9RMmABZc/3Ed9Ah2Qmj9j1XLygFGZPzwLy6ask5Y/StVoa0lIlT803U269vWTPwCkzFm4gZY/TqFN+5UQlj//E+01nreZP92r0m8215g/mc/A5Kutlj+URGb7xHiWP44PuvLI+pI/FRq2K+iWkj8SAChiD6uVP9TnhPXM9Jc/yDZQVgkHlz/NaNnhpdaWP07x51kNxI4/KGHmlzA4jj/DdVVBuCGWP57lEUhOZZY/xsLbXHqIij9pv8ARvteKP4k/10v0IpM/zGNMS/golD8pa+w1cZaHPxrZ92W9i4k/2ji8e9Bwjz/w1O39iHuSP/yiWPvO85A/CZQQqJHzkD9tasLqWpGGP8gQPevXJYk/qV/XjNoTiD8dUDoD61KJPy5Ic1/g94s/bmCP74cEjD/744GCixuCP1Pe+61rz4Y/ZD/SNxxKiD+woIDID6qIP9Yry3aT5YQ/RaF6OSvDhj99HfiPFD2GP8+Z6x5VFYc/rbcPCO0siD/+llXj2AqIP/Kzlivv7oc/MuoaS89fgD8xGjptwxuFP9901YD3PIc/1HRz3+qDhj9+YLQNxhiGP6SFbgbRx4U/xsL6X/V+fj/aMFwNtNaCPx5ByKdczH8/wADKvZthgz/QCE1T8RaFPy6PHJPZoII/UDALII9ngj/YlluQKwiEP/mOT05dJ4E/9ClvMCwHgj+Uamm70yp/P/p2y+pZhGk/SfyasIsRbT+IIuFEQxaAP6QJaYYC8X4/iraRj+y2fT8Lkx9md118P5kMCbynSHw/qEfgpGNXfD//iqvukah8Pwxdn7oB2nw/yNnm5ipzfj8C5hXaiq19P2B/ExK6NoA/s6wUR0wdfz8GqAlyIdqAPyg2S+q9d4A/RGTB5EPQgD//Os3caoqAPxKwABZFa0G/67faSfmcZz+Ua79rsPosv4/HMQraUXs/rJQVlSIefz9UzntMrqh5P2zA66x9P3Y/yfLlkgzbeT98SxaDGeJwP0baU8z37XI/3JLAeR9WZj9O1kZKCkBoP96I3UvFq2E/rEyrEEweV78mpYAOL95Tv9SbWfTu2FS/42tafFM9W7+bJ2l6caJAvzs2FPaXsm8/GZRN7p+aWT+GXnMZFsVgP1aiBJss5EY/JRQYHjEcQj9Ay2Cm/pADP5iZ2oYL5hO/vDRUTTsALL++W5e+qfVDvyN6Qd5WyDC/GRJ0pJfzUr+OSVQ2Q4U0vzSETvVR/4o/Ml6f3nuXiz+XUjYdZuSNP40bYUH/to8/bFlD3s1XkD926RCZhoGSP7ilFsK5wpU/+1hy65S6mT/GQNqBatKcP3bsCAVwi54/frDopZcHnz/SfZFs5ZeeP77NMyTQzp0/nTWHUm03ij823gLEq46KP8QbOsViZIw/aB6hORt9jT/eX6qVXAiPP5ptOdaeVZA/V6Jewa26kD/MFZ0SHJCQP5fPRaTLcJA/SuhL9TVrkT8jg6ZIn/uSP37IJgYw6pM/+hZaif04lz9WOTdOBe2ZP1OpwP5LoZs/5FZDmdLsmz+zCEdhhkOaP6AUMHKhyZg/CcR9NRpdmD/Ouck8yNaXP0Drb+9eSow/I0xJowzIiT/CtE9g6ziHP4pgUXcg14Y/9kk66T7khj+gn+IeTEyHP+zSGn6jMoc/quSq9N39hj8plRueb/6HPz79iGo/hIo/erDLCEK2ij8MVRkD/aGNPyo35KbvpI4/O+RBTGOgjj9QEAJ9MUSPP0RNtA27GZE/3jAoeATnlj9KhsabScGUPxy8f8fQ1JQ/86JOVGSblT+ccLyhSL6QPyzAXeGMI40/pOtPA3YriT8HUZA6cpiFP+S0HPFplYI/6W6fuYK2gD8ogqGjewmAP+/+QczMTn8/eIESmk79fT/OupUDjh1/P4J3M4lZkoE/g9LZJzZPhT9j5Dgkg0+KP5azIqpnR5M/qlIOdTookz9UU1/WTBqVP2pPtXHjQJM/mFBNHczzjz+Y+p3JUkGKPycnvh/6IoU/lvjCdI79gD/itsg+Z+x+P0JIIKCUHH0/uq8m04Faez8SaIaZR4Z7P2NFDLO5In0/W5+lMjI+kj/ZwOf3EuyRPzTNyXRpzJM/o/LLICcOkz/ebK7+dkGPP9Km0gbzK4w/3vkisco8iT+sGF/AvVmEPx/POrGmuIA/7Bo8xWsskT80VLkprkaQP19Z40yEzpY/QeKO9Hfnkj8B+p3p82SQP9bei0+z/I4/vKencZGnjT+GS5qRqCqOP+wcdskdFpY/TfFcWMwTkj8XnrGfVYOQPyaI1ld4CY0/oTSpC4YSjj8ShSL1oDeNP7xxWVQhQos/Ksjtma8KlD+bh039hraQP3h+Z6KtUI8/BGb959i8iz/3Rm66KjqMPwJaJ2qKwYk/TKNAyTpIjj+6e9AJFMCMPxfQjgfpwok/HdUm55Wvij+wMwQ70iaLP5BzGomF2Ik/oif3d6K1hz8imhzam0KJP6xJTFDx0Yg/FBK136gmhz9OPF8/Z/iGP7o/qxuL34Y/3MA9L9Vshz9mwSo2hweJP5wainB7P4c/mZ7hsz4whj8Dda8YsHeEP+bXoAHNNYQ/nhNb8Bt0gz/D1uk54kmFP3vLdPjURIQ/O3k5xY7khD/wcBQDCc+CP7Era425DYM/DEE0XclIgD9Foicb7mWAPwfknDS+pHk/YlsOj5UQej+V0DVsEgB0PxYTWNGdOnQ/iENcqkQOcz9xvSjImX19PxuFeGOsioI/lMMd0Xelez+a5nu2Ldp+P7a6KfWXI3o/+JVQtpTJcj/dTe8Lpcp4P0x+q8ekO3o/nEbod4yrdj9DUbf7C5N9P4zSOEbdCX0/DOr5ERVogD8NIUQK99eAPw6oOhFUqYA/AyAFDCf2gD9F8IClEpJ+P0zUguYwun4/lgL0GWvBfD809eYLEUNmP55E6Jf5qG4/GX2Bvv6vYj+38WyITmZsP4nmP5BhJn8/fy8gIgU1eT980gNRJI15P3qNnqYJIXI/HzPtQm1Jcj+81ytSdf1mPwYQe/1m/Wc/qJtLBmGHWT8v5UzYu9NaP0jJwnYp3UU/Vbm1UaGXYb+rvi3uQzBdvxFqg9QahGC/huVZGxXrVb9Ca7pHiHsgP2QPfDbs7zW/NapVBUwmVz8pjzezOWcuP77S4jsGDBU/LPertMr/TL9uMd/DB3ZTv1g7N0sebVe/DJkxIIGbYL/V2E0tY79XvyXKXyzYt5M/OycYIiYylj/9p9FKDsqXPyRaYoNld5g/pGrA+vSsmD8z8Lf4FbqYP/wrQrcLhIs/luAgexClij9XWhCg7rOIP4WJB6+Ja4c/DTLhdkcwiz9MnaKaNfyOPw/xlaQJvpE/5ttoQP1Kkz+2CqN2JPiTP1XZ6lt1SpQ/uk0TUQmglD8S+3JoHNOUP5jjFWz2rnw/LOJiojnTeT/K1304e2d6P8pkNlLIUoA/1C8LrIX2gT8H0ZLZKxGCP8KKPsLzYYE/VoDCrwxCgT+Fv+WRGH+CPwT01PYBKIU/jL1sLPl8iD9dW2SLw1SLPxZU1H3wKo0/Bmm4ILnIjj9zZ0g4HX+QP8zpka0T55E/VvRYiJ4mfD8IyFveQyF4PyblmuuPW3Q/ox0BFoKhcT+tm227F/9sPxTXgCuRDms/AK/NFtDcbj+MFFAJO9dyP8Uu4FWt6XU/AKlSTIE4eD8GHhgstGx6P5a0WVujdXw/keo21yCdfT8uef/bNO2APzFvQ0tzkIM/bQrsUHwGhz/kJsvP12qKP0Kyjz0Ciow/6OLC47sEjT8WJH+jKHWLP4adwjlZIow/DpLKrqaUjz8YvJ7CrdmRP+AU7LmHaog/hOMXfzCagj9scHaE6OR9P7iBcg3pPnk/dPJX30mXdD/2vyB+nhltP2C5yqFxd2E/I8pUzS7QVT/5wLUG5klUP94e8vAvl1k/3hb+IC1rXT+uiCtdBBBlPzAuvVX8PHA/mqAMKxxvdT+5b7s8J7V5P9R5FNuvQIs/zWpPq+Qmiz+GR2eGoE+NP5b3CNi+NZA/7VLNu/LpjT944z4ZtkqGP2+OhpdjLoA/UCM+/zBreT9vCZCt3R91P+LPj85aR24/2C17jaJWWz9qT4ybX6k9P4qQX7kaYQg/BQhOKjGtML+oTRxQsNwrP8PlmFHj+VM/sqYun1wRjT8g9ObFSHaMP3KYXfViK44/nv4c30+qiz8mEDHl94iDP6pAWwL1Z3o/Ye+L/XFQdD8GE33wp/BzPxXycifCqnE/sKt92BmgaT86W5tDxAlXP3KmHVW0io0/is6q4jnXjT8ff0RrtvmJP1eB01uL74I/mxfZ+lnbfD98ornJuSh6P7fdBH3CeI0/eslkkmPCjT9BAYvwpYaNP3Zoa4Hs5ow/vcaV6J9riT+hrB95IseEP2QS08eWKII/XVjhcmJbiz+UDS2v9GKLPwzwJQA6Ios/RwZlPLFiiD9RbW1xMtWFP7Azcg0A5YI/XYnhuLI8gz+qKlEg4+qCP3Z6AN0hiYg/AfJLFW4diD89tTMW0FeJP3zFZS4OyIQ/5MjwsA8Zgz/8r9o39Nl/PyiPzJyhB4A/YJqN6AL5eD+iMb/RMgN5P4PV4a0VSXg/6vmgj4z5gz9mmMHfM9qEP4RBUxg6zYM/inqhBTP6hT8UC7efo4SCP38E1QeHFX8/HNBTGfsZdz+DFA/eaUB0P4ZehI8j+3A/9Fd0X9JVbz+ipPDpM/tyPzbhFt8hb3I/rkeQd1gKdD90AZjYT4d2P77OLGrdonY/Mi66WyPzdj+2PTodkMN/Px84s8XU03o/JyNNsMfDgz+djDi2aVxxP+SKnCe/CHM/1pIVcHjcdz+xpdojVyp5P196NWQZL3s/NV27kfj4eT/7gBfWpHJ4PwqHPymLpXU/QIDgQTsfdT+w/wQodnZuPzGekqMAiW4/WBt5LkNOXj9IS+GyxExpP49uPvq7Y3E/k4/1A0oqYD+I1A1gtD53P5BNyp9MEXg/RSOjt53nWD9w1gOdncZtP3Xh0rYXIlY/XOvGAUH8Or+HhLh4+E9Cv2ak2KXU+Vm/+65DB5RoXb/UrXauzPJgv5lcVEVHe2O/+mHI1HbxYr+4rUZtwxljv475P6o8zV+/jJBCIvT9Vb8cZnSZaq8Rv1rC8HdEn0k/GbTMQLN9JD90a0bslzZXvycODWI5FGG/IhNiiaQsfT/Mgke+qRaAP1CQbZTDtIE/4IawH09wgz/ppIsi/2GFP5B21QXVaYc/UnhDP52IiT9FqV8RLtRgP9HLmH+2FGY/nP9dmwOabT9Nu6qNGM5zP0DTDWJEBHo/mXPjd9Refz/1RnmDL7OBP5fkIFuyTIM/RpQD0NQKhT8epF95JgCHP3s4hqju7Ig/rOTemXHpij8UmAOFEyMlv3jftk2Em1K/ffwuUhdtWL9PxkZug2pYv2xa8ZDKXU+/CGFPdjzlIL++ReA4uy5QP4aphBZfOmQ/H96U1X2xcT/FFG8G7L15P3Ne2DtZdoA/zoax0vB6gz80gA/+2RSGP2yBPufMR4g/pC33AnxKij/une9jNy+MP6z8BTYTp3M/LTJ0dm4scD+7NYInx4hlPzrwsipGo0I/DcsQqbWMUr93pJfmoxpiv1nX5XpdoGe/hkVb1jNGar//EkoOnthov486wIK7vGO/qgbZ8wG6V79IjFOWMfMkv8el4G+nAQE/sLSjdMJZZT+4hHFMSpF1P0YTwMA80X4/7wQUG1Psgj+67ST4jfKFP1er61YaS4Y/P8FH7NMUiT8ZqzjYPdOLP0KmU13PzY0/tp+9qpZ6ej+MMRXUWkp0P7CTb+8Fn3E/+PJEK+Viaz+PMkIux4JfP3r9ZhePYEI/GyjDozB6Rb9gWK4ZdGFev3k0D6cfMWe/fIz1K3Rvar9+qsiczWxqv7AzNLipoWa/WhkkqhcKW7/C2F7ouvKIP25x53w7ioY/1M3NiQ4bjD/SZ1FxAkKAP/vLZjYJDXo/S1eshnXvdj8b4Lntbe10PzsbIxuhanI/YMlot6+9bT9zbqhW3SNjP4afxgZPz0Y/YNlSG5lB+b7ukdLxKhBZvym8J17bZWq/ILBXoBoviD/cjUCzoqWFP6Jzy0X86oo/X9nN5grSfj9cN34xvJx5P5Kg5ADoNng/Hkfflem+eD9Sk5wR+hF4P6mrdvbbiXQ/zhUDj7m6bT8wRK0fia5iP3xM/pOT44U//bXHbBHigj/bkjipGw+IP3pG7+sKX3U/kgIMRJRLdj9YXlLyEh14P5LRA7b9X3g/Zzki7Y6Sdj+IhAAL5YBiP63yKNCR+HI/6GEM9VhkbT+09UV19HljP+ofuB2mumQ/tM0yPQR1ZD9JiBePuGtkP0RqQH6ps3o/MhezgpB5gD8fU26GxAZ5P3XjeLw8FoE/Xy/ON7dMeD8wvpm/9oJ2P3lyIZ3si3I/9eH+D9SuaD+VzE/0s7VWP2p7+kaCqUs/CXs7ds2GUr+k4l6h4+o0v0MMMB80Pl2/0eFOXIROW7+nHuoRboVbv+OjC7FmQlc/boxX0IYXYT++90zYDAtNP/aM4qr87Wk/5Pn08dzpdj/zF9bN+mVWP6gXwDwpuVe/WiPk4MMzab/whyy/0R5Yvzh/wByGWGm/J6hlgdQ/Y7/UIz7gwXw4vxKtlPYGVVW/rwRMk/KkPj/wYA7euXoIv9m+Z6+JTlw/hJ4vxw+/bz+a8+xlRkJ5P6J72pAIUIE/rLkExxbPhT8ky5fm7IVnvz2BWDw8iF6/T5HDxqfeTr8+hqkEhHlKPweV7iUkp2Y/ubqhq/ZbdD8vsReeyEF+P2rXpFPdZoQ/+vcVzWCpSL9YLp6afqBbv2qvw8Aug1q/L9/nVuysR7/P4qE7B8hFP2ScXfU+sWA/wJCO/j3Paj9C0w1dQaJzP+LlcynoI3w/eFM7QEiFgz+6SfpKAqZhP0nw1H/3/FE/X7Vf67lNST9nxzl2E+RTPzFFsK5riGE/JZSyHnOiaD/m/XcNDg5uP3A0tef++XI/YlzEvFMNej8DeZ8cPA+CP3i26clGj1s/qlFrqhiYVj9mDPAouWhaP5S0Srw+lGE/fhfM/SylaD+TeNP4n5JyP3RJ59Z3uVG/kUOxGiElCT8=",
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",
        "encoding": "base64",
        "path": [
         "_widget_data",
         0,
         "j",
         "buffer"
        ]
       },
       {
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CAADqAQAAAgIAAOsBAAADAgAA7AEAAAQCAAAFAgAABQIAAAQCAADuAQAABwIAAO8BAAAIAgAA8AEAAAkCAAAKAgAA9AEAAAsCAABqAQAAagEAAPQBAAB6AQAAgwEAAIMBAAANAgAAhAEAAA4CAACFAQAAhQEAAA8CAAD2AQAAEQIAAPcBAAASAgAA+AEAABMCAAD5AQAAFAIAAPoBAAAVAgAA+wEAABYCAAD8AQAAFwIAAP0BAAAYAgAA/gEAABkCAAAaAgAAGgIAABkCAAAAAgAAHAIAAAECAAAdAgAAAgIAAB4CAAADAgAAHwIAAAQCAAAgAgAABQIAACECAAAiAgAACwIAACMCAAAMAgAAJAIAAHwBAAB8AQAADAIAAIYBAAAlAgAAhwEAACYCAACIAQAAJwIAAIkBAAAoAgAAigEAACkCAACLAQAAiwEAACoCAAAOAgAALAIAAA8CAAAtAgAAEAIAAC4CAAAvAgAALwIAAC4CAAASAgAAMQIAABMCAAAyAgAAFAIAADMCAAAVAgAANAIAABYCAAA1AgAAFwIAADYCAAAYAgAANwIAABkCAAA4AgAAGgIAACECAAA5AgAAOQIAACECAAAkAgAAPAIAACUCAAA9AgAAJgIAAD4CAAAnAgAAPwIAACgCAABAAgAAKQIAAEECAAAqAgAAQgIAACsCAABDAgAALAIAAEQCAABFAgAARQIAAEQCAAAuAgAARwIAAC8CAAA6AgAAPAIAAEkCAABJAgAASQIAADwCAAA+AgAATAIAAD8CAABNAgAAQAIAAE4CAABPAgAATwIAAE4CAABCAgAAUQIAAEMCAABSAgAARAIAAFMCAABFAgAASgIAAEwCAABVAgAATQIAAFYCAABOAgAAVwIAAE8CAABYAgAAWAIAAFoCAABcAgAAWwIAAF4CAABdAgAAYAIAAF8CAABhAgAAZAIAAGQCAABkAgAAZgIAAI8BAACOAQAAkAEAAI8BAACRAQAAkAEAAJIBAACRAQAAkwEAAJIBAACUAQAAkwEAAJUBAACUAQAAlgEAAJUBAACXAQAAlgEAAJgBAACXAQAAmQEAAJgBAACaAQAAmQEAAJsBAACaAQAAnAEAAJsBAACdAQAAnAEAAJ4BAACdAQAAnwEAAJ4BAACgAQAAnwEAAFkCAABZAgAAeQIAAKIBAABcAgAAowEAAF4CAACkAQAAYAIAAKUBAABiAgAAYgIAAGICAAClAQAAqQEAAKcBAACrAQAAqwEAAKkBAAB9AgAAfAIAAH4CAACBAgAAZQIAAGQCAABkAgAAZAIAAI0BAACrAQAAsgEAALIBAACEAgAAhQIAAIUCAACGAgAAhQIAAIgCAACCAgAAgQIAAIECAACBAgAArQEAALIBAAC5AQAAuQEAAIsCAACMAgAAiwIAAI0CAACOAgAAtAEAAIgCAACLAgAAuQEAAJACAACQAgAAkQIAAJACAACTAgAAjgIAAI0CAACNAgAAjQIAALsBAACPAgAAvgEAAJECAACXAgAAmAIAAJcCAACZAgAAmgIAAMABAACTAgAAlgIAAMQBAACXAgAAnAIAAJ0CAACcAgAAngIAAJoCAACZAgAAmQIAAJkCAADGAQAAmwIAAMkBAACcAgAAogIAAKMCAACiAgAApAIAAKUCAADLAQAAngIAAKECAADSAQAAogIAAKcCAACoAgAApwIAAKkCAACqAgAA1AEAAKQCAADxAQAA8QEAAPEBAACrAgAArQIAAK0CAACsAgAAqAIAAK8CAACqAgAAqgIAAKkCAADgAQAAqQIAAAYCAAAGAgAAswIAAAcCAAC0AgAACAIAAAgCAAC1AgAArAIAALcCAAC4AgAAtwIAALkCAAC6AgAAsgIAALsCAADzAQAAsgIAABsCAAAbAgAAvAIAABwCAAC9AgAAHQIAAL4CAAAeAgAAvwIAAB8CAADAAgAAIAIAACACAADBAgAAtAIAAMMCAAC1AgAAxAIAALYCAADFAgAAtwIAAMYCAADHAgAAxgIAALkCAADIAgAAyAIAALkCAAAKAgAAuwIAADACAAAwAgAAywIAADECAADMAgAAMgIAAM0CAAAzAgAAzgIAADQCAADPAgAANQIAANACAAA2AgAA0QIAADcCAADSAgAAOAIAADgCAADTAgAAvQIAANUCAAC+AgAA1gIAAL8CAADXAgAAwAIAANgCAADBAgAA2QIAAMICAADaAgAAwwIAANsCAADEAgAA3AIAAMUCAADdAgAA3gIAAN4CAADdAgAAxwIAAOACAADhAgAAIgIAACICAADJAgAAOQIAAEYCAABGAgAA4wIAAEcCAABHAgAA5AIAAMwCAADmAgAAzQIAAOcCAADOAgAA6AIAAM8CAADpAgAA0AIAAOoCAADRAgAA6wIAANICAADsAgAA0wIAAO0CAADUAgAA7gIAANUCAADvAgAA1gIAAPACAADxAgAA8QIAAPACAADYAgAA8wIAANkCAAD0AgAA2gIAAPUCAADbAgAA9gIAANwCAAD3AgAA3QIAAPgCAADeAgAA4AIAAPkCAAD5AgAA4AIAADsCAAA7AgAA4gIAAEgCAAD8AgAASQIAAFACAABQAgAA/gIAAFECAAD/AgAAUgIAAAADAABTAgAAUwIAAAEDAADkAgAAAwMAAOUCAAAEAwAABQMAAAUDAAAEAwAA5wIAAAcDAADoAgAACAMAAOkCAAAJAwAA6gIAAAoDAADrAgAACwMAAOwCAAAMAwAA7QIAAA0DAADuAgAADgMAAO8CAAAPAwAA8AIAABADAADxAgAA+gIAABEDAAARAwAA+gIAAP0CAAAUAwAASwIAAEsCAAD9AgAAVAIAABUDAABVAgAAFgMAAFYCAAAXAwAAVwIAAFcCAAAYAwAA/wIAABoDAAAAAwAAGwMAAAEDAAAcAwAAAgMAAB0DAAAeAwAAHgMAAB0DAAAEAwAAIAMAAAUDAAASAwAAFAMAACIDAAAiAwAAIgMAABQDAAAWAwAAJQMAABcDAAAmAwAAGAMAACcDAAAZAwAAKAMAABoDAAApAwAAKgMAACoDAAApAwAAHAMAACwDAAAdAwAALQMAAB4DAAAjAwAAJQMAAC8DAAAmAwAAMAMAACcDAAAxAwAAKAMAADIDAAApAwAAMwMAACoDAABaAgAAWQIAAFsCAABaAgAAXQIAAFsCAABfAgAAXQIAAGECAABfAgAAYwIAAGMCAABhAgAAOwMAADoDAAA8AwAAPwMAAD8DAAA/AwAAQQMAAGcCAABmAgAAaAIAAGcCAABpAgAAaAIAAGoCAABpAgAAawIAAGoCAABsAgAAawIAAG0CAABsAgAAbgIAAG0CAABvAgAAbgIAAHACAABvAgAAcQIAAHACAAByAgAAcQIAAHMCAAByAgAAdAIAAHMCAAB1AgAAdAIAAHYCAAB1AgAAdwIAAHYCAAB4AgAAdwIAAHkCAAB4AgAANAMAAFUDAABjAgAAewIAAD0DAAA9AwAAPQMAAHsCAAB+AgAAfAIAAIACAACAAgAAfgIAAFgDAABbAwAAQAMAAD8DAAA/AwAAPwMAAGUCAACAAgAAhwIAAIUCAACFAgAAhQIAAF4DAABhAwAAXAMAAFsDAABbAwAAWwMAAIICAABfAwAAhwIAAGUDAABkAwAAZgMAAGcDAACJAgAAYQMAAIwCAACSAgAAkAIAAJACAACQAgAAaAMAAGsDAABnAwAAZgMAAGYDAABmAwAAjgIAAGkDAACSAgAAbwMAAG4DAABwAwAAcQMAAJQCAABrAwAAbgMAAJgCAABzAwAAcgMAAHQDAABxAwAAcAMAAHADAABwAwAAmgIAAHIDAACdAgAAeAMAAHcDAAB5AwAAegMAAJ8CAAB0AwAAdwMAAKMCAAB8AwAAewMAAH0DAAB+AwAApQIAAHkDAACuAgAArgIAAK4CAAB/AwAAgQMAAIADAACCAwAAfgMAAH0DAAB9AwAAfQMAAKoCAAB/AwAArQIAAIADAACGAwAAhwMAAIYDAACIAwAAiQMAALACAACCAwAAhQMAALgCAACGAwAAiwMAAIwDAACLAwAAjQMAAI4DAAC6AgAAugIAAIgDAADIAgAA3wIAAN8CAADfAgAAkAMAAJIDAACSAwAAkQMAAIwDAACNAwAAlAMAAJQDAACNAwAAygIAAI8DAADyAgAA8gIAAJcDAADzAgAAmAMAAPQCAACZAwAA9QIAAJoDAAD2AgAAmwMAAPcCAACcAwAA+AIAAPgCAACdAwAAkQMAAJ8DAACgAwAAnwMAAKEDAACiAwAA4QIAAOECAACVAwAA+QIAAAYDAAAGAwAApAMAAAcDAAClAwAACAMAAKYDAAAJAwAApwMAAAoDAACoAwAACwMAAKkDAAAMAwAAqgMAAA0DAACrAwAADgMAAKwDAAAPAwAArQMAABADAAAQAwAArgMAAJgDAACwAwAAmQMAALEDAACaAwAAsgMAAJsDAACzAwAAnAMAALQDAACdAwAAtQMAAJ4DAAC2AwAAtwMAALcDAAC2AwAAoAMAAKEDAAC5AwAAuQMAAKEDAAD7AgAA+wIAAKMDAAARAwAAHwMAAB8DAAC9AwAAIAMAACADAAC+AwAApQMAAMADAACmAwAAwQMAAKcDAADCAwAAqAMAAMMDAACpAwAAxAMAAKoDAADFAwAAqwMAAMYDAACsAwAAxwMAAK0DAADIAwAArgMAAMkDAACvAwAAygMAALADAADLAwAAsQMAAMwDAACyAwAAzQMAALMDAADOAwAAzwMAAM8DAADOAwAAtQMAANEDAAC2AwAA0gMAALcDAAC6AwAA0wMAANMDAAC6AwAAEwMAABMDAAC8AwAAIQMAANYDAAAiAwAAKwMAACsDAADYAwAALAMAANkDAAAtAwAALQMAANoDAAC+AwAA3AMAAL8DAADdAwAAwAMAAN4DAADBAwAA3wMAAMIDAADgAwAAwwMAAOEDAADEAwAA4gMAAMUDAADjAwAAxgMAAOQDAADlAwAA5QMAAOQDAADIAwAA5wMAAMkDAADoAwAAygMAAOkDAADLAwAA6gMAAMwDAADrAwAAzQMAAOwDAADOAwAA7QMAAM8DAADUAwAA1gMAAO8DAADvAwAA7wMAANYDAAAkAwAAJAMAANcDAAAuAwAA8gMAAC8DAADzAwAAMAMAAPQDAAAxAwAA9QMAADIDAAD2AwAAMwMAADMDAAD3AwAA2QMAAPkDAADaAwAA+gMAANsDAAD7AwAA3AMAAPwDAAD9AwAA/QMAAPwDAADeAwAA/wMAAN8DAAAABAAA4AMAAAEEAADhAwAAAgQAAOIDAAADBAAA4wMAAAQEAADkAwAABQQAAOUDAADwAwAABgQAAAYEAADwAwAA8wMAAAkEAAD0AwAACgQAAPUDAAALBAAA9gMAAAwEAAD3AwAADQQAAPgDAAAOBAAA+QMAAA8EAAAQBAAAEAQAAA8EAAD7AwAAEgQAAPwDAAATBAAA/QMAAAcEAAAJBAAAFQQAABUEAAAVBAAACQQAAAsEAAAYBAAADAQAABkEAAAaBAAAGgQAABkEAAAOBAAAHAQAAA8EAAAdBAAAEAQAABYEAAAYBAAAHwQAABkEAAAgBAAAGgQAADUDAAAiBAAAIgQAACMEAAA3AwAANgMAADgDAAA3AwAAOQMAADgDAAA6AwAAOQMAADwDAAA6AwAAPgMAAD4DAAA8AwAAKQQAACwEAAAsBAAALAQAAC4EAABCAwAAQQMAAEMDAABCAwAARAMAAEMDAABFAwAARAMAAEYDAABFAwAARwMAAEYDAABIAwAARwMAAEkDAABIAwAASgMAAEkDAABLAwAASgMAAEwDAABLAwAATQMAAEwDAABOAwAATQMAAE8DAABOAwAAUAMAAE8DAABRAwAAUAMAAFIDAABRAwAAUwMAAFIDAABUAwAAUwMAAFUDAABUAwAAIQQAACEEAABEBAAAIgQAAD4DAAAqBAAAKgQAAFYDAABYAwAAVwMAAFoDAABaAwAAWAMAAEcEAABKBAAALQQAACwEAAAsBAAALAQAAEADAABaAwAAYAMAAF4DAABeAwAAXgMAAE0EAABjAwAAYwMAAGIDAABcAwAATgQAAGADAABSBAAAUQQAAFMEAABTBAAAUwQAAGcDAABlAwAAUQQAAFEEAABSBAAAbQMAAG0DAABsAwAAZwMAAFgEAABYBAAAVgQAAFgEAABbBAAAWwQAAFsEAABxAwAAWQQAAG8DAABfBAAAXgQAAHYDAAB2AwAAdQMAAHEDAABeBAAAcwMAAGIEAABhBAAAYwQAAGMEAABjBAAAegMAAGEEAAB4AwAAZwQAAGYEAABoBAAAaQQAAHoDAABjBAAAZgQAAHwDAABrBAAAagQAAGwEAABpBAAAaAQAAGgEAABoBAAAfgMAAGoEAACBAwAAcAQAAG8EAABxBAAAcgQAAIMDAABsBAAAbwQAAIcDAAB0BAAAcwQAAHUEAAB2BAAAiQMAAHEEAACTAwAAkwMAAJMDAAB3BAAAeQQAAHgEAAB1BAAAewQAAJQDAACUAwAAlAMAAJQDAAB3BAAAkgMAAHgEAAB+BAAAfwQAAH4EAACABAAAgQQAAJYDAAB7BAAAuAMAALgDAAC4AwAAggQAAIQEAACEBAAAgwQAAH8EAACABAAAhwQAALkDAAC5AwAAuQMAALkDAADQAwAA0AMAAIkEAADRAwAAigQAANIDAADSAwAAiwQAAI0EAACNBAAAjAQAAIQEAACHBAAAkAQAANMDAADTAwAA0wMAANMDAADmAwAA5gMAAJIEAADnAwAAkwQAAOgDAACUBAAA6QMAAJUEAADqAwAAlgQAAOsDAACXBAAA7AMAAJgEAADtAwAA7QMAAJkEAACKBAAAmwQAAIsEAACcBAAAnQQAAJ0EAACcBAAAjQQAAJAEAACgBAAA7gMAAO4DAADuAwAA7gMAAKAEAADvAwAA/gMAAP4DAACjBAAA/wMAAKQEAAAABAAApQQAAAEEAACmBAAAAgQAAKcEAAADBAAAqAQAAAQEAACpBAAABQQAAAUEAACqBAAAkwQAAKwEAACUBAAArQQAAJUEAACuBAAAlgQAAK8EAACXBAAAsAQAAJgEAACxBAAAmQQAALIEAACaBAAAswQAALQEAAC0BAAAswQAAJwEAAC2BAAAnQQAAKAEAAC3BAAAtwQAAKAEAADxAwAA8QMAAKIEAAAGBAAAEQQAABEEAAC7BAAAEgQAALwEAAATBAAAEwQAAL0EAACkBAAAvwQAAKUEAADABAAApgQAAMEEAACnBAAAwgQAAKgEAADDBAAAqQQAAMQEAACqBAAAxQQAAKsEAADGBAAArAQAAMcEAACtBAAAyAQAAK4EAADJBAAArwQAAMoEAACwBAAAywQAAMwEAADMBAAAywQAALIEAADOBAAAswQAAM8EAAC0BAAAuAQAANAEAADQBAAAuAQAAAgEAAAIBAAAugQAABQEAADTBAAAFQQAABsEAAAbBAAA1QQAABwEAADWBAAAHQQAAB0EAADXBAAAvAQAANkEAAC9BAAA2gQAAL4EAADbBAAAvwQAANwEAADABAAA3QQAAMEEAADeBAAAwgQAAN8EAADDBAAA4AQAAMQEAADhBAAAxQQAAOIEAADGBAAA4wQAAOQEAADkBAAA4wQAAMgEAADmBAAAyQQAAOcEAADKBAAA6AQAAMsEAADpBAAAzAQAANEEAADqBAAA6gQAANEEAADUBAAA7QQAABcEAAAXBAAA1AQAAB4EAADuBAAAHwQAAO8EAAAgBAAAIAQAAPAEAADWBAAA8gQAANcEAADzBAAA2AQAAPQEAADZBAAA9QQAANoEAAD2BAAA2wQAAPcEAADcBAAA+AQAAN0EAAD5BAAA+gQAAPoEAAD5BAAA3wQAAPwEAADgBAAA/QQAAOEEAAD+BAAA4gQAAP8EAADjBAAAAAUAAOQEAADrBAAAAQUAAAEFAADrBAAA7gQAAAQFAADvBAAABQUAAPAEAAAGBQAA8QQAAAcFAADyBAAACAUAAPMEAAAJBQAACgUAAAoFAAAJBQAA9QQAAAwFAAD2BAAADQUAAPcEAAAOBQAA+AQAAA8FAAD5BAAAEAUAAPoEAAACBQAABAUAABIFAAAFBQAAEwUAAAYFAAAUBQAABwUAABUFAAAIBQAAFgUAAAkFAAAXBQAACgUAACMEAAAiBAAAJAQAACMEAAAlBAAAJAQAACYEAAAlBAAAHQUAAB0FAAAnBAAAHwUAAB8FAAAgBQAAKQQAACgEAAArBAAAKwQAACkEAAAjBQAAIgUAACQFAAAuBAAALQQAAC8EAAAuBAAAMAQAAC8EAAAxBAAAMAQAADIEAAAxBAAAMwQAADIEAAA0BAAAMwQAADUEAAA0BAAANgQAADUEAAA3BAAANgQAADgEAAA3BAAAOQQAADgEAAA6BAAAOQQAADsEAAA6BAAAPAQAADsEAAA9BAAAPAQAAD4EAAA9BAAAPwQAAD4EAABABAAAPwQAAEEEAABABAAAQgQAAEEEAABDBAAAQgQAAEQEAABDBAAAGAUAAD4FAAAdBQAAHwUAACsEAABGBAAAJQUAACUFAAAlBQAARgQAAEkEAABJBAAARwQAAEEFAABMBAAASwQAACcFAABFBQAASQQAAEIFAABCBQAAQwUAAEcFAABHBQAARwUAAFAEAABKBQAASgUAAEYFAABKBQAAVQQAAFUEAABUBAAAUAQAAEsFAABSBAAATwUAAE4FAABQBQAAUAUAAFAFAABXBAAAVgQAAE4FAABOBQAATwUAAFQFAABRBQAAUAUAAFAFAABQBQAAVwQAAFcFAABXBQAAUwUAAFcFAABaBQAAWwUAAFwEAABUBQAAWAUAAF8EAABdBQAAXAUAAF4FAABbBQAAWgUAAFoFAABaBQAAYAQAAFwFAABiBAAAYgUAAGEFAABjBQAAZAUAAGQEAABeBQAAYQUAAGcEAABmBQAAZQUAAG4EAABuBAAAbQQAAGkEAABlBQAAawQAAGkFAABoBQAAbQQAAGcFAABoBQAAcAQAAGwFAABrBQAAcgQAAGoFAABrBQAAdAQAAG8FAABuBQAAcAUAAHAFAABxBQAAegQAAG4FAAB5BAAAcwUAAHIFAAB0BQAAdQUAAHwEAABwBQAAhQQAAIUEAACFBAAAdgUAAHgFAAB3BQAAdAUAAHoFAACGBAAAhgQAAIYEAACGBAAAjgQAAI4EAACOBAAAfAUAAH4FAAB+BQAAfQUAAHgFAAB6BQAAgQUAAI8EAACPBAAAjwQAAI8EAACeBAAAngQAAJ4EAACDBQAAhQUAAIUFAACEBQAAfgUAAIEFAACIBQAAnwQAAJ8EAACfBAAAnwQAALUEAAC1BAAAigUAALYEAAC2BAAAiwUAAI0FAACNBQAAjAUAAIUFAACIBQAAkAUAALcEAAC3BAAAtwQAALcEAADNBAAAzQQAAJIFAADOBAAAkwUAAM8EAADPBAAAlAUAAJYFAACWBQAAlQUAAIwFAACYBQAAjQUAAJAFAACaBQAA0AQAANAEAADQBAAA0AQAAOUEAADlBAAAnAUAAOYEAACdBQAA5wQAAJ4FAADoBAAAnwUAAOkEAADpBAAAoAUAAJMFAACiBQAAlAUAAKMFAACkBQAApAUAAKMFAACWBQAAmgUAAKcFAADqBAAA6gQAAOoEAADqBAAA+wQAAPsEAACpBQAA/AQAAKoFAAD9BAAAqwUAAP4EAACsBQAA/wQAAK0FAAAABQAAAAUAAK4FAACdBQAAsAUAAJ4FAACxBQAAnwUAALIFAACgBQAAswUAAKEFAAC0BQAAtQUAALUFAAC0BQAAowUAALcFAACkBQAAuAUAALkFAADsBAAA7AQAAKcFAAABBQAACwUAAAsFAAC7BQAADAUAALwFAAANBQAAvQUAAA4FAAC+BQAADwUAAL8FAAAQBQAAEAUAAMAFAACqBQAAwgUAAKsFAADDBQAArAUAAMQFAACtBQAAxQUAAK4FAADGBQAArwUAAMcFAACwBQAAyAUAALEFAADJBQAAsgUAAMoFAADLBQAAywUAAMoFAAC0BQAAzQUAALUFAAC4BQAAzgUAAM4FAAC4BQAAAwUAAAMFAAC6BQAAEQUAANEFAAASBQAA0gUAABMFAADTBQAAFAUAANQFAAAVBQAA1QUAABYFAADWBQAAFwUAABcFAADXBQAAvAUAANkFAAC9BQAA2gUAAL4FAADbBQAAvwUAANwFAADABQAA3QUAAMEFAADeBQAAwgUAAN8FAADDBQAA4AUAAMQFAADhBQAAxQUAAOIFAADjBQAA4wUAAOIFAADHBQAA5QUAAMgFAADmBQAAyQUAAOcFAADKBQAA6AUAAMsFAADPBQAA0QUAAOoFAADqBQAA6gUAANEFAADTBQAA7QUAANQFAADuBQAA1QUAAO8FAADWBQAA8AUAANcFAADxBQAA2AUAAPIFAADZBQAA8wUAANoFAAD0BQAA2wUAAPUFAADcBQAA9gUAAN0FAAD3BQAA+AUAAPgFAAD3BQAA3wUAAPoFAADgBQAA+wUAAOEFAAD8BQAA4gUAAP0FAADjBQAA6wUAAO0FAAD/BQAA7gUAAAAGAADvBQAAAQYAAPAFAAACBgAA8QUAAAMGAADyBQAABAYAAPMFAAAFBgAA9AUAAAYGAAD1BQAABwYAAPYFAAAIBgAA9wUAAAkGAAD4BQAAGQUAABkFAAAKBgAAGgUAAAsGAAAbBQAADAYAABwFAAAgBQAAIAUAAA4GAAAQBgAAEAYAABEGAAAkBQAAIgUAACYFAAAmBQAAJAUAABMGAAAWBgAAFgYAABYGAAAYBgAAKQUAACgFAAAqBQAAKQUAACsFAAAqBQAALAUAACsFAAAtBQAALAUAAC4FAAAtBQAALwUAAC4FAAAwBQAALwUAADEFAAAwBQAAMgUAADEFAAAzBQAAMgUAADQFAAAzBQAANQUAADQFAAA2BQAANQUAADcFAAA2BQAAOAUAADcFAAA5BQAAOAUAADoFAAA5BQAAOwUAADoFAAA8BQAAOwUAAD0FAAA8BQAAPgUAAD0FAAAKBgAACgYAADAGAAALBgAAMQYAAAwGAAAyBgAADQYAADMGAAAeBQAAHgUAAD8FAAAOBgAADgYAADUGAAAPBgAANgYAABAGAAAmBQAAFAYAABQGAABABQAANwYAADgGAAA5BgAAFwYAABYGAAAWBgAAFgYAACcFAAA8BgAAPAYAADgGAAA8BgAAPwYAADoGAAA5BgAAOQYAADkGAABEBQAARgUAAD0GAAA9BgAAPgYAAEMGAABEBgAASAUAAD8GAABFBgAARQYAAEIGAABFBgAASAYAAEQGAABDBgAAQwYAAEMGAABNBQAARgYAAE8FAABMBgAASwYAAFYFAABWBQAAVQUAAFEFAABTBQAASwYAAEsGAABMBgAATwYAAE8GAABPBgAAWwUAAFkFAABOBgAAYAUAAGAFAABfBQAAWwUAAFQGAABUBgAAUgYAAFQGAABXBgAAVwYAAFcGAABkBQAAVQYAAGIFAABbBgAAWgYAAFwGAABdBgAAZAUAAFcGAABaBgAAZgUAAF8GAABeBgAAYAYAAGEGAABnBQAAXAYAAF4GAABpBQAAYwYAAGIGAABkBgAAZQYAAGoFAABgBgAAYgYAAGwFAABnBgAAZgYAAGgGAABpBgAAbQUAAGQGAABmBgAAbwUAAGsGAABqBgAAaAYAAGwGAABsBgAAbQYAAGoGAABqBgAAcwUAAGsGAAB1BQAAeQUAAHAGAABxBgAAfwUAAH8FAAB/BQAAeAUAAHsFAACABQAAdAYAAHUGAACGBQAAhgUAAH4FAAB+BQAAfgUAAHMGAAB5BgAAeQYAAHoGAACHBQAAjgUAAI4FAACFBQAAhQUAAIUFAAB3BgAAeQYAAH8GAACPBQAAjwUAAI8FAACPBQAAlwUAAIIGAACCBgAAgwYAAHsGAAB7BgAAhAYAAHwGAAB/BgAAhgYAAJkFAACZBQAAmQUAAJkFAAClBQAApQUAAJYFAACWBQAAlgUAAIIGAACLBgAAjAYAAJsFAACbBQAAhgYAAKYFAAC2BQAAtgUAAI4GAAC3BQAApAUAAKQFAACkBQAAiQYAAIsGAACSBgAAkgYAAIsGAACoBQAAjQYAAMwFAADMBQAAlQYAAM0FAADNBQAAlgYAAJgGAACYBgAAlwYAAJAGAACTBgAAmwYAAM4FAADOBQAAzgUAAM4FAADkBQAA5AUAAJ0GAADlBQAAngYAAOYFAACfBgAA5wUAAKAGAADoBQAA6AUAAKEGAACWBgAAowYAAKQGAACkBgAAowYAAJgGAACbBgAApwYAAOkFAADpBQAA6QUAAOkFAACnBgAA6gUAAPkFAAD5BQAAqgYAAPoFAACrBgAA+wUAAKwGAAD8BQAArQYAAP0FAAD9BQAArgYAAJ4GAACwBgAAnwYAALEGAACgBgAAsgYAAKEGAACzBgAAtAYAALQGAACzBgAAowYAALYGAACkBgAApwYAALcGAAC3BgAApwYAAOwFAADsBQAAqQYAAP4FAAC6BgAA/wUAALsGAAAABgAAvAYAAAEGAAC9BgAAAgYAAL4GAAADBgAAvwYAAAQGAADABgAABQYAAMEGAAAGBgAAwgYAAAcGAADDBgAACAYAAMQGAAAJBgAACQYAAMUGAACrBgAAxwYAAKwGAADIBgAArQYAAMkGAACuBgAAygYAAK8GAADLBgAAsAYAAMwGAADNBgAAzQYAAMwGAACyBgAAzwYAALMGAADQBgAAtAYAALgGAAC6BgAA0gYAALsGAADTBgAAvAYAANQGAAC9BgAA1QYAAL4GAADWBgAA1gYAANYGAAC+BgAAwAYAANkGAADBBgAA2gYAAMIGAADbBgAAwwYAANwGAADEBgAA3QYAAMUGAADeBgAA3wYAAN8GAADeBgAAxwYAAOEGAADIBgAA4gYAAMkGAADjBgAAygYAAOQGAADLBgAA5QYAAMwGAADmBgAAzQYAANcGAADZBgAA6AYAANoGAADpBgAA2wYAAOoGAADcBgAA6wYAAN0GAADsBgAA3gYAAO0GAADfBgAAEQYAAO8GAADvBgAA8AYAABMGAAASBgAAFQYAABUGAAATBgAA8gYAAPUGAAD1BgAA9QYAAPcGAAAZBgAAGAYAABoGAAAZBgAAGwYAABoGAAAcBgAAGwYAAB0GAAAcBgAA/gYAAP4GAAAeBgAAHgYAAP4GAAABBwAAAQcAAAIHAAAhBgAAIAYAACIGAAAhBgAAIwYAACIGAAAkBgAAIwYAACUGAAAkBgAAJgYAACUGAAAnBgAAJgYAACgGAAAnBgAAKQYAACgGAAAqBgAAKQYAACsGAAAqBgAALAYAACsGAAAtBgAALAYAAC4GAAAtBgAALwYAAC4GAAAwBgAALwYAADEGAAAwBgAAMgYAADEGAAAzBgAAMgYAADQGAAAzBgAANQYAADQGAAA2BgAANQYAAO4GAADuBgAAGQcAAO8GAAAVBgAAOAYAADcGAAA3BgAANwYAABoHAAAdBwAA9gYAAPUGAAD1BgAA9QYAABcGAAD+BgAAAAcAACEHAAABBwAAOAYAABsHAAAbBwAAHAcAAEEGAABBBgAAQAYAADoGAAAkBwAAJAcAACIHAAAkBwAAJwcAACcHAAAnBwAARAYAAEIGAAAlBwAAJQcAACYHAABKBgAASgYAAEkGAABEBgAARwYAACoHAAAtBwAALQcAAC0HAABNBgAAMAcAADAHAAAsBwAAMAcAAFEGAABRBgAAUAYAAE0GAAAxBwAATgYAADUHAAA0BwAANgcAADYHAAA2BwAAUwYAAFIGAAA0BwAANAcAADUHAABZBgAAWQYAAFgGAABTBgAAVgYAADkHAAA8BwAAPAcAADwHAABdBgAAPwcAAD8HAAA7BwAAPwcAAEIHAABDBwAAXQYAADwHAABABwAAXwYAAEUHAABEBwAARgcAAEcHAABhBgAAQgcAAEQHAABjBgAASQcAAEgHAABKBwAASwcAAGUGAABGBwAASAcAAGcGAABNBwAATAcAAEoHAABPBwAAbAYAAGwGAABsBgAAbAYAAG4GAABuBgAAawYAAGsGAABrBgAATQcAAE8HAABVBwAAcAYAAHAGAABwBgAAcAYAAFEHAABRBwAAbwYAAFIHAABVBwAAWgcAAHQGAAB0BgAAdAYAAHQGAAB4BgAAeAYAAHgGAABzBgAAWgcAAF4HAABeBwAAXwcAAH0GAAB9BgAAdwYAAHcGAAB3BgAAXQcAAGMHAABjBwAAZAcAAH4GAACDBgAAZgcAAGYHAABnBwAAYAcAAGAHAABoBwAAYQcAAGMHAABqBwAAhQYAAIUGAACFBgAAhQYAAIoGAACKBgAAggYAAIIGAACCBgAAZgcAAGoHAABvBwAAbwcAAHAHAACRBgAAkQYAAIkGAACJBgAAiQYAAG0HAAB0BwAAdAcAAHUHAACSBgAAmQYAAJkGAACQBgAAkAYAAJAGAAByBwAAdAcAAHoHAACaBgAAmgYAAJoGAACaBgAApQYAAKUGAACYBgAAmAYAAJgGAAB3BwAAegcAAIAHAACmBgAApgYAAKYGAACmBgAAtQYAALUGAACCBwAAtgYAAKQGAACkBgAApAYAAH0HAACABwAAhwcAALcGAAC3BgAAtwYAALcGAADOBgAAzgYAAIkHAADPBgAAigcAANAGAADQBgAAiwcAAI0HAACNBwAAjAcAAIQHAACHBwAAkAcAANEGAADRBgAA0QYAANEGAACQBwAA0gYAAJIHAADTBgAAkwcAANQGAACUBwAA1QYAAJUHAADWBgAA4AYAAOAGAACXBwAA4QYAAJgHAADiBgAAmQcAAOMGAACaBwAA5AYAAJsHAADlBgAAnAcAAOYGAADmBgAAnQcAAIoHAACfBwAAoAcAAKAHAACfBwAAjAcAAKIHAACNBwAAkAcAAJIHAACkBwAAkwcAAKUHAACUBwAApgcAAJUHAACnBwAAlgcAAKgHAADYBgAA2AYAAOcGAACqBwAAqgcAAOgGAADoBgAAqgcAAOkGAACsBwAA6gYAAK0HAADrBgAArgcAAOwGAACvBwAA7QYAAO0GAACwBwAAmAcAALIHAACzBwAAswcAALIHAACaBwAAtQcAAJsHAAC2BwAAnAcAALcHAACdBwAAuAcAAJ4HAAC5BwAAnwcAALoHAACgBwAAqgcAAKwHAAC8BwAArQcAAL0HAACuBwAAvgcAAK8HAAC/BwAAsAcAAMAHAACxBwAAwQcAALIHAADCBwAAswcAAPAGAADEBwAAxAcAAMUHAADyBgAA8QYAAMYHAADHBwAA9wYAAPYGAAD4BgAA9wYAAPkGAAD4BgAA+gYAAPkGAAD7BgAA+gYAAPwGAAD7BgAAzwcAAM8HAAD9BgAA/QYAAAIHAAABBwAAAwcAAAIHAAAEBwAAAwcAAAUHAAAEBwAABgcAAAUHAAAHBwAABgcAANgHAADYBwAACAcAAAgHAADYBwAA2wcAANsHAADcBwAACwcAAAoHAAAMBwAACwcAAA0HAAAMBwAADgcAAA0HAAAPBwAADgcAABAHAAAPBwAAEQcAABAHAAASBwAAEQcAABMHAAASBwAAFAcAABMHAAAVBwAAFAcAABYHAAAVBwAAFwcAABYHAAAYBwAAFwcAABkHAAAYBwAAwwcAAMMHAADsBwAAxAcAAPQGAAAaBwAA7QcAAO4HAAAfBwAAHgcAAMgHAADwBwAAzwcAAP8GAAD/BgAAIAcAACEHAAAgBwAA0QcAAPMHAADYBwAA2gcAAPUHAADbBwAA9gcAAPYHAADuBwAA9gcAAPkHAAD5BwAA+QcAACMHAAAiBwAA9wcAAPcHAAD4BwAA/QcAAPoHAAD5BwAA+QcAAPkHAAAjBwAAAAgAAAAIAAD8BwAAAAgAAAMIAAAECAAAKAcAAP0HAAABCAAAKgcAAAYIAAAFCAAABwgAAAQIAAADCAAAAwgAAAMIAAArBwAALAcAAAUIAAAFCAAABggAAAsIAAAMCAAALgcAAAcIAAAyBwAACggAAA4IAAAMCAAACwgAAAsIAAALCAAAMwcAABEIAAARCAAADQgAABEIAAAUCAAAFQgAADcHAAAOCAAAEggAADkHAAAXCAAAFggAABgIAAAVCAAAFAgAABQIAAAUCAAAOgcAADsHAAAWCAAAFggAABcIAAAcCAAAHQgAAD0HAAAYCAAAQQcAABsIAAAfCAAAIAgAAEMHAAAcCAAARQcAAB4IAAAfCAAAIggAACIIAAAjCAAASQcAACEIAAAlCAAAJQgAACYIAABOBwAAUwcAAFMHAABTBwAATQcAACUIAAAqCAAAVAcAAFQHAABUBwAAVAcAAFcHAABXBwAAUgcAAFIHAABSBwAAKAgAACoIAAAwCAAAWQcAAFkHAABZBwAAWQcAACwIAAAsCAAAWAcAAC0IAAAwCAAANQgAAF4HAABeBwAAXgcAAF4HAABiBwAAYQcAADMIAAA3CAAANQgAADkIAAA5CAAAOggAAGcHAAA8CAAAPAgAAD0IAAA4CAAAPQgAAD4IAAA+CAAAPwgAAGkHAABuBwAAbgcAAGYHAABmBwAAZgcAADwIAAA+CAAARAgAAG8HAABvBwAAbwcAAG8HAABzBwAAcwcAAG0HAABtBwAAbQcAAEEIAABECAAASQgAAEkIAABKCAAAeAcAAHgHAAByBwAAcgcAAHIHAABHCAAATggAAE4IAABPCAAAeQcAAH4HAAB+BwAAdwcAAHcHAAB3BwAATAgAAE4IAABUCAAAfwcAAH8HAAB/BwAAfwcAAIUHAACFBwAAfQcAAH0HAAB9BwAAUQgAAFQIAABaCAAAhgcAAIYHAACGBwAAhgcAAI4HAACOBwAAhAcAAIQHAACEBwAAVwgAAFoIAABgCAAAjwcAAI8HAACPBwAAjwcAAKEHAAChBwAAYggAAKIHAACNBwAAjQcAAI0HAABdCAAAYAgAAJEHAACRBwAAowcAAGgIAABoCAAApAcAAKQHAABoCAAApQcAAGoIAACmBwAAawgAAKcHAABsCAAAqAcAAG0IAACpBwAAtAcAALQHAABvCAAAtQcAAHAIAAC2BwAAcQgAALcHAAByCAAAuAcAAHMIAAC5BwAAdAgAALoHAAC6BwAAdQgAAHcIAAB3CAAAdggAAGQIAABoCAAAaggAAHoIAABrCAAAewgAAGwIAAB8CAAAbQgAAH0IAABuCAAAfggAAKsHAACrBwAAuwcAALwHAAC7BwAAvQcAALwHAAC+BwAAvQcAAL8HAAC+BwAAwAcAAL8HAADBBwAAwAcAAMIHAADBBwAAbwgAAG8IAACHCAAAcAgAAIgIAABxCAAAiQgAAHIIAACKCAAAcwgAAIsIAAB0CAAAjAgAAHUIAACNCAAAdggAAI4IAAB3CAAAxQcAAMQHAADGBwAAxQcAAMcHAADHBwAAxgcAAJIIAACVCAAAlQgAAJUIAACXCAAAygcAAMkHAADLBwAAygcAAMwHAADLBwAAzQcAAMwHAACdCAAAnQgAAM4HAADOBwAAnwgAAJ8IAACfCAAAoQgAANMHAADSBwAA1AcAANMHAADVBwAA1AcAANYHAADVBwAA1wcAANYHAACnCAAAqAgAANwHAADbBwAA3QcAANwHAADeBwAA3QcAAN8HAADeBwAA4AcAAN8HAADhBwAA4AcAAOIHAADhBwAA4wcAAOIHAADkBwAA4wcAAOUHAADkBwAA5gcAAOUHAADnBwAA5gcAAOgHAADnBwAA6QcAAOgHAADqBwAA6QcAAOsHAADqBwAA7AcAAOsHAACPCAAAuggAAMcHAADuBwAA7QcAAO0HAADtBwAAuwgAAL4IAACWCAAAlQgAAJUIAACVCAAAyAcAAJ0IAADQBwAA0AcAAPEHAADyBwAA8QcAAKAIAACgCAAAwwgAANEHAADZBwAA9AcAAPUHAAD0BwAAqQgAAMUIAADuBwAAvAgAALwIAAC9CAAAxwgAAL8IAAC+CAAAvggAAL4IAADvBwAAyggAAMoIAADGCAAAyggAAP8HAAD/BwAA/gcAAPoHAAD8BwAAywgAAMsIAADMCAAAzwgAAM8IAADPCAAABAgAAAIIAADOCAAA0wgAANAIAADPCAAAzwgAAM8IAAAECAAA1ggAANYIAADSCAAA1ggAANkIAADaCAAACAgAANMIAADXCAAACggAANwIAADbCAAA3QgAANoIAADZCAAA2QgAANkIAAAMCAAADQgAANsIAADbCAAA3AgAAOEIAADiCAAADwgAAN0IAAATCAAA4AgAABoIAAAaCAAAGQgAABUIAADlCAAA5QgAAOMIAADlCAAA6AgAAOgIAADoCAAAHQgAAOYIAAAbCAAA7AgAAOsIAADtCAAA7ggAAB0IAADoCAAA6wgAAB4IAADwCAAA7wgAAO0IAADyCAAAIggAACIIAAAiCAAAIggAAO8IAAAhCAAA9QgAAPQIAAD2CAAA9wgAACMIAADyCAAA9AgAAPQIAAAkCAAA9QgAAPYIAAD7CAAAKQgAACkIAAApCAAAKQgAAC4IAAAtCAAA+QgAAP0IAAD7CAAAAAkAAC8IAAAvCAAALwgAAC8IAAAyCAAAMggAADIIAAAtCAAAAAkAADEIAAAxCAAANAgAAAUJAAAGCQAANwgAADcIAAAzCAAAMwgAADMIAAADCQAACgkAAAoJAAALCQAAOQgAAD0IAAA9CAAAOAgAADgIAAA4CAAACAkAAAoJAAAPCQAADwkAABAJAABCCAAAQggAADwIAAA8CAAAPAgAAA0JAAAUCQAAFAkAABUJAABDCAAASAgAAEgIAABBCAAAQQgAAEEIAAASCQAAFAkAABoJAABJCAAASQgAAEkIAABJCAAATQgAAE0IAABHCAAARwgAAEcIAAAXCQAAHwkAACAJAABKCAAAGgkAAFIIAABSCAAATAgAAEwIAABMCAAAHQkAAB8JAAAlCQAAUwgAAFMIAABTCAAAUwgAAFgIAABYCAAAUQgAAFEIAABRCAAAIgkAACUJAAArCQAAWQgAAFkIAABZCAAAWQgAAF4IAABeCAAAVwgAAFcIAABXCAAAKAkAACsJAAAxCQAAXwgAAF8IAABfCAAAXwgAAGUIAABlCAAAXQgAAF0IAABdCAAALgkAADEJAABhCAAAYQgAAGYIAAA4CQAAOAkAAGcIAABnCAAAeAgAAHgIAABkCAAAZAgAAGQIAAA0CQAAOAkAAGkIAABpCAAAeQgAAHoIAAB5CAAAewgAAHoIAAB8CAAAewgAAH0IAAB8CAAAfggAAH0IAAB/CAAAfggAAEUJAABFCQAAgAgAAIAIAABFCQAAgQgAAEcJAACCCAAASAkAAIMIAABJCQAAhAgAAEoJAACFCAAASwkAAIYIAABMCQAAhwgAAE0JAACICAAATgkAAIkIAABPCQAAiggAAFAJAACLCAAAUQkAAIwIAABSCQAAVAkAAFQJAABVCQAAOgkAADoJAABWCQAAOwkAAEUJAABHCQAAWAkAAEgJAABZCQAASQkAAFoJAABKCQAAWwkAAEsJAABcCQAATAkAAF0JAABNCQAAXgkAAE4JAABfCQAATwkAAGAJAABQCQAAYQkAAFEJAABiCQAAUgkAAGMJAABTCQAAZAkAAFQJAACQCAAAZgkAAGYJAABnCQAAkggAAJEIAABoCQAAaQkAAGoJAABqCQAAagkAAGwJAACYCAAAlwgAAJkIAACYCAAAmggAAJkIAACbCAAAmggAAHIJAAByCQAAnAgAAJwIAAChCAAAoAgAAKIIAAChCAAAowgAAKIIAACkCAAAowgAAKUIAACkCAAApggAAKUIAAB7CQAAewkAAKcIAACnCAAAqggAAKkIAACrCAAAqggAAKwIAACrCAAArQgAAKwIAACuCAAArQgAAK8IAACuCAAAsAgAAK8IAACxCAAAsAgAALIIAACxCAAAswgAALIIAAC0CAAAswgAALUIAAC0CAAAtggAALUIAAC3CAAAtggAALgIAAC3CAAAuQgAALgIAAC6CAAAuQgAAGUJAABlCQAAjwkAAGYJAACUCAAAuwgAAJAJAACRCQAAkgkAAGsJAABqCQAAagkAAGoJAACWCAAAcgkAAJ4IAACeCAAAwQgAAMIIAADBCAAAwwgAAMIIAAB0CQAAmAkAAHsJAACoCAAAqAgAAMQIAADFCAAAxAgAAH0JAACbCQAAnAkAAJwJAACRCQAAnAkAAJ8JAACTCQAAkgkAAJIJAACSCQAAvwgAAMYIAACdCQAAnQkAAJ4JAACjCQAApAkAAMgIAACfCQAAzAgAAKIJAACmCQAApAkAAKMJAACjCQAAowkAAM0IAACpCQAAqQkAAKUJAACpCQAA1QgAANUIAADUCAAA0AgAANIIAACqCQAAqgkAAKsJAACuCQAArgkAAK4JAADaCAAA2AgAAK0JAADfCAAA3wgAAN4IAADaCAAAswkAALMJAACxCQAAswkAALYJAAC2CQAAtgkAAOIIAAC0CQAA4AgAALoJAAC5CQAAuwkAALwJAADiCAAAtgkAAOMIAAC5CQAAuQkAALoJAADqCAAA6ggAAOkIAADkCAAA5wgAAL0JAADpCAAAvgkAAOwIAAC/CQAAwgkAAMIJAADDCQAA8QgAAPAIAADBCQAAwgkAAMUJAADFCQAAxgkAAPgIAAD4CAAA+AgAAPUIAADJCQAAyQkAAMoJAAD6CAAA/QgAAP0IAAD5CAAA+QgAAPkIAADICQAAyQkAAPwIAAD8CAAA/wgAAM8JAADQCQAAywkAAMsJAAD+CAAAzAkAAAEJAAAECQAA1AkAANQJAAAFCQAABQkAAAkJAAAICQAA0gkAANYJAADUCQAA2AkAANgJAADZCQAADgkAAA0JAADXCQAA2gkAANwJAADcCQAA3QkAAA8JAAATCQAAEgkAANsJAADeCQAA3AkAAOAJAADgCQAA4QkAABgJAAAXCQAA3wkAAOIJAADkCQAA5AkAAOUJAAAZCQAAHgkAAB0JAADjCQAA5gkAAOQJAADoCQAA6AkAAOkJAAAjCQAAIgkAAOcJAADqCQAA7AkAAOwJAADtCQAAJAkAACkJAAAoCQAA6wkAAO4JAADsCQAA8QkAACoJAAAqCQAAKgkAACoJAAAvCQAALgkAAO8JAADzCQAA8QkAAPYJAAAwCQAAMAkAADAJAAAwCQAANQkAADUJAAA1CQAALgkAAPYJAAAyCQAAMgkAADYJAAD8CQAA/AkAADcJAAA3CQAAPAkAADwJAAA0CQAANAkAADQJAAD5CQAA/AkAADkJAAA5CQAAPQkAAD4JAAA9CQAAPwkAAD4JAABACQAAPwkAAEEJAABACQAAQgkAAEEJAAAICgAACAoAAEMJAABDCQAACAoAAEQJAABVCQAADAoAAAwKAAANCgAA/gkAAP4JAAAOCgAA/wkAAAgKAAAKCgAAEAoAAEYJAABGCQAAVwkAAFgJAABXCQAAWQkAAFgJAABaCQAAWQkAAFsJAABaCQAAXAkAAFsJAABdCQAAXAkAAF4JAABdCQAAXwkAAF4JAABgCQAAXwkAAGEJAABgCQAAYgkAAGEJAABjCQAAYgkAAGQJAABjCQAACwoAAAsKAAAfCgAADAoAAGcJAABmCQAAaAkAAGcJAABpCQAAaQkAAGgJAAAjCgAAbAkAAGsJAABtCQAAbAkAAG4JAABtCQAAbwkAAG4JAABwCQAAbwkAACwKAAAsCgAAcQkAAHEJAAAuCgAALgoAAC4KAAAwCgAAdgkAAHUJAAB3CQAAdgkAAHgJAAB3CQAAeQkAAHgJAAA2CgAANgoAAHoJAAB6CQAAfgkAAH0JAAB/CQAAfgkAAIAJAAB/CQAAgQkAAIAJAACCCQAAgQkAAIMJAACCCQAAhAkAAIMJAACFCQAAhAkAAIYJAACFCQAAhwkAAIYJAACICQAAhwkAAIkJAACICQAAigkAAIkJAACLCQAAigkAAIwJAACLCQAAjQkAAIwJAACOCQAAjQkAAI8JAACOCQAAIAoAAEoKAABpCQAAkQkAAJAJAACQCQAAkAkAAEsKAABOCgAATgoAAE4KAABQCgAAJgoAAFEKAAAsCgAAcwkAAHMJAACVCQAAlgkAAJUJAACXCQAAlgkAAC8KAAAvCgAAVQoAAHQJAAA2CgAAfAkAAHwJAACZCQAAmgkAAJkJAACbCQAAmgkAADgKAABZCgAAkQkAAEwKAABMCgAATQoAAKEJAAChCQAAoAkAAJMJAACeCQAAWgoAAF0KAABdCgAAXQoAAKQJAABgCgAAYAoAAFwKAABgCgAAYwoAAF4KAABdCgAAXQoAAF0KAACkCQAApQkAAGEKAABhCgAAYgoAAGcKAABoCgAApwkAAGMKAACrCQAAZgoAAGoKAABoCgAAZwoAAGcKAABnCgAArAkAAG0KAABtCgAAaQoAAG0KAABwCgAAcQoAAK8JAABqCgAAsQkAAG4KAABuCgAAbwoAAHMKAABxCgAAcAoAAHAKAABwCgAAsgkAALUJAAByCgAAdwoAAHgKAAC3CQAAcwoAAHkKAAB5CgAAdgoAAHkKAAB8CgAAfQoAALwJAAB3CgAAfgoAAH4KAAB/CgAAggoAAHoKAAC9CQAAhQoAAIQKAACGCgAAhwoAAL4JAAB8CgAAiAoAAIkKAACBCgAAigoAAIsKAACKCgAAhAoAAL8JAACNCgAAjAoAAI4KAACPCgAAwAkAAIYKAACICgAAigoAAJEKAACLCgAAjAoAAIwKAADBCQAAjQoAAI4KAACVCgAAxQkAAMUJAADFCQAAxQkAAMQJAACTCgAAlQoAAJgKAACYCgAAmQoAAM0JAADMCQAAlwoAAJoKAADKCQAAzgkAAJ0KAACdCgAAzwkAAM8JAADRCQAA0QkAANEJAADMCQAAnQoAANAJAADQCQAA0wkAAKIKAACjCgAA1gkAANYJAADSCQAA0gkAANIJAACgCgAApwoAAKcKAACoCgAA2AkAANoJAADaCQAA1wkAANcJAADXCQAApQoAAKcKAACsCgAArAoAAK0KAADeCQAA3gkAANsJAADbCQAA2wkAAKoKAACxCgAAsQoAALIKAADgCQAA4gkAAOIJAADfCQAA3wkAAN8JAACvCgAAsQoAALYKAAC2CgAAtwoAAOYJAADmCQAA4wkAAOMJAADjCQAAtAoAALsKAAC7CgAAvAoAAOgJAADqCQAA6gkAAOcJAADnCQAA5wkAALkKAAC7CgAAwAoAAMAKAADBCgAA7gkAAO4JAADrCQAA6wkAAOsJAAC+CgAAxQoAAMUKAADGCgAA8AkAAPMJAADzCQAA7wkAAO8JAADvCQAAwwoAAMUKAADLCgAA9QkAAPUJAAD1CQAA9QkAAMcKAADHCgAA9AkAAMgKAADLCgAA9wkAAPcJAAD6CQAA0QoAANEKAAD7CQAA+wkAAAAKAAD/CQAAzgoAANMKAADRCgAA/QkAAP0JAAABCgAAAgoAAAEKAAADCgAAAgoAAAQKAAADCgAABQoAAAQKAAAGCgAABQoAANwKAADcCgAABwoAAAcKAAANCgAA3woAAN8KAADgCgAA1AoAAOAKAADcCgAACQoAAAkKAAAPCgAAEAoAAA8KAAARCgAAEAoAABIKAAARCgAAEwoAABIKAAAUCgAAEwoAABUKAAAUCgAAFgoAABUKAAAXCgAAFgoAABgKAAAXCgAAGQoAABgKAAAaCgAAGQoAABsKAAAaCgAAHAoAABsKAAAdCgAAHAoAAB4KAAAdCgAAHwoAAB4KAADeCgAA3goAAPMKAADfCgAAIQoAACAKAAAiCgAAIQoAACMKAAAiCgAA9woAAPgKAAD5CgAA+QoAAPkKAAD7CgAAKAoAACcKAAApCgAAKAoAACoKAAApCgAAKwoAACoKAAAACwAAAQsAAAILAAACCwAABAsAAAYLAAAGCwAABQsAADEKAAAwCgAAMgoAADEKAAAzCgAAMgoAADQKAAAzCgAADAsAAAwLAAA1CgAANQoAADkKAAA4CgAAOgoAADkKAAA7CgAAOgoAADwKAAA7CgAAPQoAADwKAAA+CgAAPQoAAD8KAAA+CgAAQAoAAD8KAABBCgAAQAoAABgLAAAYCwAAQgoAAEIKAAAYCwAAGwsAABsLAAAcCwAARQoAAEQKAABGCgAARQoAAEcKAABGCgAASAoAAEcKAABJCgAASAoAAEoKAABJCgAA9AoAACILAAAlCgAASwoAACMLAAAkCwAAUAoAAE8KAAD6CgAA+goAACYLAAAmCgAALQoAAFIKAABTCgAAUgoAAAMLAAADCwAAKAsAAFUKAAAGCwAALwoAAAwLAAA3CgAANwoAAFYKAABXCgAAVgoAAFgKAABXCgAAWQoAAFgKAAAOCwAALQsAABgLAAAaCwAALwsAABsLAAAwCwAAMAsAACQLAAAwCwAAMwsAADMLAAAzCwAAWwoAADELAABaCgAANwsAADYLAAA4CwAANAsAADMLAAAzCwAAMwsAAFsKAABcCgAANgsAADYLAAA3CwAAPAsAADkLAAA4CwAAOAsAADgLAABeCgAAPwsAAD8LAAA7CwAAPwsAAEILAABDCwAAZAoAADwLAABACwAAZgoAAEULAABECwAARgsAAEMLAABCCwAAQgsAAEILAABoCgAAaQoAAEQLAABECwAARQsAAEoLAABLCwAAawoAAEYLAABMCwAATQsAAFALAABQCwAASQsAAFALAABTCwAASwsAAEoLAABKCwAASgsAAHEKAABWCwAATgsAAE4LAABMCwAAWgsAAFoLAABbCwAAWgsAAFELAAByCgAAXgsAAF0LAABfCwAAYAsAAHQKAABTCwAAYQsAAGILAABZCwAAYwsAAFsLAABkCwAAZQsAAGQLAAB2CgAAXQsAAF0LAABeCwAAZwsAAGgLAAB4CgAAXwsAAGkLAABiCwAAYgsAAGELAAB/CgAAfwoAAGMLAACCCgAAZAsAAGQLAABkCwAAZQsAAHsKAABmCwAAbwsAAHALAAB9CgAAZwsAAHELAAByCwAAbAsAAHMLAACACgAAbAsAAIMKAABtCwAAhQoAAG4LAAB2CwAAdwsAAIcKAABvCwAAcQsAAHgLAAB4CwAAcQsAAIkKAACJCgAAcwsAAJAKAAB7CwAAkQoAAJEKAACLCgAAkgoAAJIKAACSCgAAjQoAAHYLAACBCwAAlAoAAJQKAACUCgAAlAoAAHoLAAB7CwAAhAsAAHwLAACFCwAAfQsAAH4LAAB+CwAAkwoAAH8LAACBCwAAiQsAAJgKAACYCgAAmAoAAJgKAACaCgAAmgoAAJoKAACXCgAAiQsAAI4LAACcCgAAnAoAAJwKAACcCgAAiwsAAIsLAACbCgAAjAsAAI4LAACeCgAAngoAAKEKAACUCwAAlAsAAKIKAACiCgAApgoAAKUKAACRCwAAlgsAAJQLAACYCwAAmAsAAJkLAACrCgAAqgoAAJcLAACaCwAAnAsAAJwLAACdCwAArAoAALAKAACvCgAAmwsAAJ4LAACgCwAAoQsAAK0KAACcCwAAtQoAALQKAACfCwAAogsAAKALAAClCwAAtgoAALYKAAC2CgAAtgoAALoKAAC5CgAAowsAAKcLAACpCwAAqgsAALcKAAClCwAAvwoAAL4KAACoCwAAqwsAAKkLAACuCwAAwAoAAMAKAADACgAAwAoAAMQKAADDCgAArAsAALALAACuCwAAsgsAALILAACzCwAAyQoAAMgKAACxCwAAtAsAAMYKAADKCgAAtgsAALcLAADNCgAAzQoAAM0KAADICgAAzAoAAM8KAAC7CwAAuwsAANAKAADQCgAA0woAANMKAADOCgAAzgoAAM4KAAC5CwAAuwsAANIKAADSCgAA1QoAANYKAADVCgAA1woAANYKAADYCgAA1woAANkKAADYCgAA2goAANkKAADbCgAA2goAAMcLAADICwAA4AoAAN8KAAC9CwAAvQsAAMsLAAC+CwAA3QoAAOEKAADiCgAA4QoAAOMKAADiCgAA5AoAAOMKAADlCgAA5AoAAOYKAADlCgAA5woAAOYKAADoCgAA5woAAOkKAADoCgAA6goAAOkKAADrCgAA6goAAOwKAADrCgAA7QoAAOwKAADuCgAA7QoAAO8KAADuCgAA8AoAAO8KAADxCgAA8AoAAPIKAADxCgAA8woAAPIKAADKCwAA3gsAAPUKAAD0CgAA9goAAPUKAAD3CgAA9goAAPgKAAD4CgAA9woAAOMLAADmCwAA5gsAAOYLAADoCwAA/AoAAPsKAAD9CgAA/AoAAP4KAAD9CgAA/woAAP4KAADuCwAA7gsAAAALAAAACwAA8AsAAPALAADwCwAA8gsAAAULAAAECwAABwsAAAULAAAICwAABwsAAAkLAAAICwAACgsAAAkLAAD5CwAA+QsAAAsLAAALCwAADwsAAPwLAAD8CwAA/QsAABELAAAQCwAAEgsAABELAAATCwAAEgsAABQLAAATCwAAFQsAABQLAAAWCwAAFQsAABcLAAAWCwAABAwAAAUMAAAcCwAAGwsAAB0LAAAcCwAAHgsAAB0LAAAfCwAAHgsAACALAAAfCwAAIQsAACALAAAiCwAAIQsAAN8LAAANDAAA+AoAACQLAAAjCwAAIwsAACMLAAAODAAAEQwAAOcLAADmCwAA5gsAAOYLAAD6CgAA7gsAAAELAAABCwAAJwsAAPELAADxCwAAFQwAAAMLAAD5CwAADQsAAA0LAAApCwAAGAwAABgMAAAqCwAAKgsAABgMAAAbDAAAGwwAABwMAAAtCwAALAsAAPsLAAD7CwAAHgwAAPwLAAAZCwAALgsAAC8LAAAuCwAABgwAACAMAAAkCwAADwwAAA8MAAAQDAAAIgwAABIMAAARDAAAEQwAABEMAAAlCwAAGAwAABoMAAAmDAAAGwwAADILAAAhDAAAKAwAACMMAAAiDAAAIgwAACIMAAA0CwAAKwwAACsMAAAnDAAAKwwAAD4LAAA+CwAAPQsAADkLAAA7CwAALAwAACwMAAAtDAAAMAwAADAMAAAwDAAAQwsAAEELAAAvDAAASAsAAEgLAABHCwAAQwsAADUMAAA1DAAAMwwAADUMAAA4DAAAOAwAADgMAABLCwAAOwwAADsMAAA7DAAAPAwAAD4MAAA/DAAASQsAADYMAAA2DAAANwwAAFULAABVCwAAVAsAAEsLAABCDAAAPQwAADsMAAA7DAAAOwwAAE4LAABPCwAAWgsAAEUMAABGDAAAUgsAAEAMAABIDAAASAwAAEgMAABgCwAASwwAAEwMAABYCwAAQgwAAFwLAABGDAAAXgsAAEcMAABPDAAAUAwAAGALAABIDAAAagsAAGoLAABrCwAAYgsAAGULAABNDAAAUwwAAFMMAABODAAAUwwAAFYMAABXDAAAaAsAAE8MAABrCwAAUQwAAG0LAABSDAAAVAwAAG4LAABbDAAAWgwAAFwMAABdDAAAcAsAAFYMAABeDAAAXgwAAF8MAAB4CwAAYAwAAGAMAABgDAAAfQsAAFoMAABaDAAAdQsAAFsMAABcDAAAZgwAAIALAACACwAAgAsAAIALAABeDAAAeQsAAHkLAACDCwAAhAsAAIMLAABhDAAAYQwAAGoMAAB9CwAAhgsAAIYLAACGCwAAfwsAAGYMAABuDAAAiAsAAIgLAACICwAAiAsAAGsMAABrDAAAhwsAAGwMAABuDAAAcwwAAI0LAACNCwAAjQsAAI0LAACQCwAAkQsAAHEMAAB1DAAAcwwAAI8LAACPCwAAkgsAAHkMAAB5DAAAkwsAAJMLAACWCwAAlwsAAHYMAAB7DAAAeQwAAH4MAACYCwAAmAsAAJgLAACYCwAAmgsAAJoLAACaCwAAlwsAAIIMAACDDAAAmQsAAH4MAACeCwAAngsAAJsLAACbCwAAmwsAAIEMAACCDAAAhwwAAIcMAACIDAAAogsAAKILAACfCwAAnwsAAJ8LAACFDAAAjAwAAIwMAACNDAAApAsAAKcLAACnCwAAowsAAKMLAACjCwAAigwAAIwMAACRDAAAkQwAAJIMAACrCwAAqwsAAKgLAACoCwAAqAsAAI8MAACWDAAAlgwAAJcMAACtCwAAsAsAALALAACsCwAArAsAAKwLAACUDAAAlgwAAJwMAACyCwAAsgsAALILAACyCwAAtAsAALQLAACxCwAAsQsAALELAACZDAAAnAwAAKIMAAC2CwAAtgsAALYLAAC2CwAAngwAAJ4MAAC1CwAAnwwAAKIMAACnDAAAugsAALoLAAC6CwAAugsAAL8LAAC+CwAApQwAAKkMAACnDAAAvAsAALwLAADACwAAwQsAAMALAADCCwAAwQsAAMMLAADCCwAAxAsAAMMLAADFCwAAxAsAAMYLAADFCwAAxwsAAMYLAACzDAAAtAwAAMkLAAC2DAAAtgwAALcMAACqDAAAtwwAAMgLAADMCwAAzQsAAMwLAADOCwAAzQsAAM8LAADOCwAA0AsAAM8LAADRCwAA0AsAANILAADRCwAA0wsAANILAADUCwAA0wsAANULAADUCwAA1gsAANULAADXCwAA1gsAANgLAADXCwAA2QsAANgLAADaCwAA2QsAAMcMAADHDAAA2wsAANsLAADHDAAAygwAAMoMAADLDAAA3gsAAN0LAAC1DAAAtQwAAM0MAAC2DAAAxwwAAMkMAADPDAAAygwAAOALAADfCwAA4QsAAOALAADiCwAA4QsAAOMLAADiCwAA1AwAANUMAADWDAAA1gwAANYMAADYDAAA6QsAAOgLAADqCwAA6QsAAOsLAADqCwAA3QwAAN0MAADsCwAA7AsAAN0MAADvCwAA4AwAAOAMAADiDAAA5AwAAOQMAADjDAAA8wsAAPILAAD0CwAA8wsAAPULAAD0CwAA9gsAAPULAAD3CwAA9gsAAOsMAADrDAAA+AsAAPgLAADtDAAA7QwAAO0MAADvDAAA/gsAAP0LAAD/CwAA/gsAAAAMAAD/CwAAAQwAAAAMAAACDAAAAQwAAAMMAAACDAAABAwAAAMMAAAFDAAABQwAAAQMAAD5DAAA+AwAAPsMAAD7DAAA+gwAAAgMAAAHDAAACQwAAAgMAAAKDAAACQwAAAsMAAAKDAAADAwAAAsMAAANDAAADAwAANAMAAACDQAA5QsAAA4MAAADDQAABA0AAAUNAADXDAAA1gwAANYMAADWDAAA5wsAAN0MAADfDAAACQ0AAOEMAADgDAAA7wsAAO8LAAAVDAAA5AwAAPELAADrDAAA+gsAAPoLAAAWDAAADA0AAAwNAAAXDAAAFwwAABwMAAAbDAAAHQwAABwMAADuDAAA7gwAABANAAD8CwAABQwAACAMAAD7DAAABgwAABAMAAAEDQAAEg0AAAYNAAAFDQAABQ0AAAUNAAASDAAAFQ0AABYNAAAZDAAAGQwAAAwNAAAlDAAAFw0AACYMAAAmDAAAGwwAABoNAAAaDQAAEQ0AABoNAAAdDQAAEw0AABINAAASDQAAEg0AACMMAAAVDQAAIA0AACANAAAVDQAAIw0AACMNAAAiDQAAGQ0AACcMAAAbDQAAGw0AABwNAAAmDQAAJw0AACkMAAAdDQAAKA0AACkNAAAqDQAAKA0AAC0MAAAlDQAALA0AACcNAAAmDQAAJg0AACYNAAAuDAAAKA0AACoNAAAwDQAAMA0AACsNAAAwDQAAMw0AADQNAAAxDAAALA0AADMMAAAxDQAAMQ0AADINAAA2DQAANA0AADMNAAAzDQAAMw0AADQMAAA8DAAAPQwAAD4MAAA8DAAAOw0AADwNAAA3DAAANQ0AAD4NAAA/DQAAOQwAADYNAABDDAAARAwAADoNAABADQAAQg0AAEINAABDDQAARQwAAEQNAABEDQAAPQ0AAEQNAABHDQAAPw0AAD4NAAA+DQAAPg0AAEEMAABEDAAAQQ0AAEsNAABMDQAARgwAAEINAABFDQAARwwAAE4NAABNDQAATw0AAFANAABJDAAARw0AAFENAABRDQAAUQ0AAFEMAABUDQAAVQ0AAE0MAABLDQAATgwAAE0NAABNDQAATg0AAFcNAABYDQAAUAwAAE8NAABZDQAAWg0AAFEMAABRDQAAWw0AAFwNAABSDAAAVA0AAFUMAABWDQAAVw0AAF4NAABeDQAAXw0AAFkNAABgDQAAYA0AAGENAABiDQAAXA0AAFsNAABbDQAAWw0AAFkMAABjDAAAYwwAAGMMAABbDAAAZw0AAGcNAABoDQAAZQwAAF8MAABoDAAAaQwAAGgMAABjDQAAYw0AAGoNAABhDAAAaw0AAGwNAABlDQAAZQ0AAGQMAABmDQAAZw0AAHINAABtDAAAbQwAAG0MAABtDAAAdA0AAHUNAAB2DQAAdA0AAHAMAABwDAAAcAwAAGwMAAByDQAAeg0AAHIMAAByDAAAcgwAAHIMAAB0DQAAdg0AAHUMAAB1DAAAcQwAAHEMAABxDAAAeA0AAHoNAAB0DAAAdAwAAHcMAACCDQAAgg0AAHgMAAB4DAAAewwAAHsMAAB2DAAAdgwAAHYMAAB+DQAAgg0AAIgNAAB9DAAAfQwAAH0MAAB9DAAAhA0AAIQNAAB8DAAAhQ0AAIgNAACMDQAAjA0AAI0NAACGDAAAhQwAAIsNAACODQAAkA0AAJANAACRDQAAhwwAAIsMAACKDAAAjw0AAJINAACUDQAAlQ0AAIgMAACQDQAAkAwAAI8MAACTDQAAlg0AAJQNAACZDQAAkQwAAJEMAACRDAAAkQwAAJUMAACUDAAAlw0AAJsNAACZDQAAnQ0AAJ0NAACeDQAAmgwAAJoMAACaDAAAlAwAAKENAAChDQAAog0AAJsMAACgDAAAoAwAAJkMAACZDAAAmQwAAKANAAChDQAApw0AAKEMAAChDAAAoQwAAKEMAACkDAAApAwAAJ8MAACfDAAAnwwAAKQNAACnDQAAowwAAKMMAACmDAAArQ0AAK4NAACpDAAAqQwAAKUMAAClDAAApQwAAKoNAACoDAAAqwwAAKwMAACrDAAArQwAAKwMAACuDAAArQwAAK8MAACuDAAAsAwAAK8MAACxDAAAsAwAALIMAACxDAAAug0AALoNAACzDAAAswwAALcMAAC2DAAArw0AAK8NAAC+DQAAsA0AALoNAAC0DAAAtAwAALgMAAC5DAAAuAwAALoMAAC5DAAAuwwAALoMAAC8DAAAuwwAAL0MAAC8DAAAvgwAAL0MAAC/DAAAvgwAAMAMAAC/DAAAwQwAAMAMAADCDAAAwQwAAMMMAADCDAAAxAwAAMMMAADFDAAAxAwAAMYMAADFDAAAzg0AAM8NAADLDAAA0Q0AANENAADSDQAAzQwAAMwMAAC9DQAA0w0AAMgMAADODAAAzwwAAM4MAADQDQAA0A0AANYNAADRDQAA0QwAANgNAADYDQAA2Q0AANMMAADSDAAA1AwAANMMAADVDAAA1QwAANQMAADcDQAA3w0AAN8NAADfDQAA4Q0AANkMAADYDAAA2gwAANkMAADbDAAA2gwAAOYNAADmDQAA3AwAANwMAADoDQAA6A0AAOgNAADqDQAA4wwAAOIMAADlDAAA4wwAAOYMAADlDAAA5wwAAOYMAADoDAAA5wwAAOkMAADoDAAA8g0AAPINAADqDAAA6gwAAO8MAADuDAAA8AwAAO8MAADxDAAA8AwAAPIMAADxDAAA8wwAAPIMAAD0DAAA8wwAAPUMAAD0DAAA9gwAAPUMAAD3DAAA9gwAAPgMAAD3DAAA+gwAAPgMAAD8DAAA+gwAAP0MAAD8DAAA/gwAAP0MAAD/DAAA/gwAAAANAAD/DAAAAQ0AAAANAAACDQAAAQ0AANcNAADXDQAABw4AANgNAADVDAAABA0AAAMNAAADDQAAAw0AAAgOAAALDgAA4A0AAN8NAADfDQAA3w0AANcMAADmDQAA3gwAAN4MAAAIDQAA6Q0AAOkNAAAPDgAA4QwAAPINAADsDAAA7AwAAAoNAAASDgAAEg4AAAsNAAALDQAADw0AAA4NAAAQDQAADw0AAPQNAAAWDgAACQ4AAAQNAAAYDgAAFw4AABkOAAAMDgAACw4AAAsOAAALDgAABg0AABwOAAAdDgAADQ0AABIOAAAeDgAAHg4AAB4OAAAZDQAAEQ0AABcOAAAXDgAAGA4AACIOAAAaDgAAGQ4AABkOAAAZDgAAEw0AABwOAAAmDgAAIA0AACANAAAgDQAAIA0AACQNAAAkDQAAIw0AABkNAAApDgAAKQ4AACEOAAApDgAALA4AAC0OAAAeDQAAIg4AAC4OAAAvDgAAMA4AACYOAAApDQAAMA4AADAOAAAqDQAAKg4AACUNAAA0DgAAMw4AADUOAAAtDgAALA4AACwOAAAsDgAAJw0AAC4OAAAxDgAAMA4AACkNAAApDQAAKg0AACsNAAAzDgAAMw4AADQOAAA6DgAAOw4AAC0NAAA1DgAAPA4AADwOAAA5DgAAPA4AAD8OAAA7DgAAOg4AADoOAAA6DgAANA0AADkNAAA5DQAAQg4AADsNAAA9DgAANQ0AAEUOAABEDgAARg4AAEcOAAA3DQAAPw4AAEANAABBDQAAOg0AADoNAAA6DQAASw4AAEMOAABMDgAAPA0AAEMOAAA9DQAARA4AAEQOAABFDgAASQ0AAEkNAABIDQAAPw0AAEENAABJDgAASg4AAFAOAABQDgAASg4AAEMNAABMDgAARg0AAE0OAABIDQAATg4AAFINAABTDQAATw4AAFUOAABXDgAAWA4AAEwNAABRDgAATg0AAFMOAABQDQAAVA4AAFMNAABWDgAAXA4AAF0OAABVDQAAVw4AAFYNAABZDgAAXw4AAF8OAABgDgAAXg0AAFoNAABgDQAAYQ0AAGENAABgDQAAYw4AAGIOAABdDgAAXA4AAFwOAABcDgAAXA0AAF0NAABeDgAAXw4AAGcOAABnDgAAaA4AAGENAABqDQAAZQ4AAGMNAABsDQAAbA0AAG8NAABvDQAAbw0AAGYNAABsDgAAbA4AAG0OAABxDQAAaQ4AAG0NAABuDQAAaQ4AAGoOAABqDgAAcA0AAGsOAABsDgAAcg4AAHkNAAB5DQAAeQ0AAHkNAAB1DQAAdg0AAH8NAAB+DQAAcA4AAHQOAAByDgAAew0AAHsNAACADQAAeA4AAHgOAACBDQAAgQ0AAIYNAACFDQAAdQ4AAHoOAAB4DgAAfQ4AAIcNAACHDQAAhw0AAIcNAACKDQAAig0AAIoNAACFDQAAfQ4AAIIOAACMDQAAjA0AAIwNAACMDQAAjg0AAI4NAACLDQAAiw0AAIsNAACADgAAhw4AAIgOAACNDQAAgg4AAJINAACSDQAAjw0AAI8NAACPDQAAhQ4AAIcOAACMDgAAjA4AAI0OAACWDQAAlg0AAJMNAACTDQAAkw0AAIoOAACRDgAAkQ4AAJIOAACYDQAAmw0AAJsNAACXDQAAlw0AAJcNAACPDgAAkQ4AAJcOAACdDQAAnQ0AAJ0NAACdDQAAkw4AAJMOAACcDQAAlA4AAJcOAACbDgAAmw4AAJwOAAClDQAApA0AAJoOAACdDgAAnw4AAJ8OAACgDgAApg0AAKsNAACqDQAAng4AAKEOAACfDgAAqA0AAKgNAACsDQAApQ4AAKUOAACtDQAArQ0AALENAACwDQAAog4AAKcOAAClDgAArg0AAK4NAACyDQAAsw0AALINAAC0DQAAsw0AALUNAAC0DQAAtg0AALUNAAC3DQAAtg0AALgNAAC3DQAAuQ0AALgNAACxDgAAsg4AALwNAAC0DgAAtA4AALUOAACoDgAAtQ4AALsNAAC/DQAAwA0AAL8NAADBDQAAwA0AAMINAADBDQAAww0AAMINAADEDQAAww0AAMUNAADEDQAAxg0AAMUNAADHDQAAxg0AAMgNAADHDQAAyQ0AAMgNAADKDQAAyQ0AAMsNAADKDQAAzA0AAMsNAADNDQAAzA0AAMUOAADFDgAAzg0AAM4NAADSDQAAyA4AAMgOAADJDgAAsw4AALMOAADKDgAAtA4AAMUOAADPDQAAzw0AANQNAADVDQAA1A0AANYNAADVDQAAxw4AAMcOAADPDgAAyA4AANkNAADYDQAA2g0AANkNAADbDQAA2g0AANwNAADbDQAA1A4AANUOAADWDgAA1g4AANYOAADYDgAA4g0AAOENAADjDQAA4g0AAOQNAADjDQAA5Q0AAOQNAADdDgAA3g4AAN8OAADfDgAA3w4AAOEOAADrDQAA6g0AAOwNAADrDQAA7Q0AAOwNAADuDQAA7Q0AAO8NAADuDQAA8A0AAO8NAADpDgAA6Q4AAPENAADxDQAA9Q0AAOwOAADsDgAA7Q4AAPcNAAD2DQAA+A0AAPcNAADwDgAA8A4AAPkNAAD5DQAA8A4AAPoNAADyDgAA+w0AAPMOAAD8DQAA9A4AAPYOAAD2DgAA9w4AAP8NAAD+DQAAAA4AAP8NAAABDgAAAA4AAAIOAAABDgAAAw4AAAIOAAAEDgAAAw4AAAUOAAAEDgAABg4AAAUOAAAHDgAABg4AANAOAAAADwAA3g0AAAgOAAABDwAAAg8AAAMPAADXDgAA1g4AANYOAADWDgAA4A0AAOcNAAAODgAA4A4AAOAOAAAGDwAA6Q0AAOkOAADzDQAA8w0AABAOAAAJDwAACQ8AABEOAAARDgAAFQ4AABQOAAAWDgAAFQ4AAOsOAADrDgAADg8AAOwOAADwDgAA8g4AABAPAADzDgAAEQ8AAPQOAAASDwAA9Q4AABMPAAD2DgAACg4AAAIPAAAVDwAABA8AAAMPAAADDwAAAw8AAAwOAAAJDwAAGA8AABgPAAAZDwAAIA4AAB8OAAALDwAAGw8AABwPAAAcDwAAFA8AABwPAAAkDgAAJA4AACMOAAAaDgAAIA8AACAPAAAhDwAAJQ4AACIPAAAiDwAAIg8AACgOAAAhDgAAHQ8AAB0PAAAeDwAAJg8AACYPAAAmDwAALQ4AACAPAAAgDwAAIA8AACAPAAArDwAAIw8AACIPAAAiDwAAIg8AACgOAAArDgAAJQ8AADcOAAA3DgAANg4AAC0OAAAvDgAAMQ4AAC4PAAAuDwAALA8AAC4PAAAxDwAAMQ8AADEPAAA7DgAAOQ4AAC8PAAAvDwAAMA8AAEEOAABBDgAAQA4AADsOAAA+DgAANA8AADcPAAA3DwAANw8AAEcOAABIDgAASA4AADsPAAA7DwAANg8AADsPAAA+DwAAPw8AAEcOAAA3DwAAOg8AAEkOAABLDgAASw4AADoPAABQDgAAPA8AAE0OAABDDwAAQg8AAEQPAABFDwAATg4AAD4PAABVDgAAVQ4AAFUOAABGDwAAQQ8AAEgPAABSDgAAQQ8AAEIPAABTDgAASg8AAEkPAABLDwAATA8AAFQOAABEDwAARg8AAFYOAABHDwAATg8AAEgPAABPDwAAWA4AAEgPAABJDwAAWQ4AAFEPAABQDwAAUg8AAFMPAABaDgAASw8AAFsOAABiDgAATg8AAGQOAABPDwAAXQ4AAFAPAABeDgAAVQ8AAFQPAABSDwAAVw8AAGcOAABnDgAAZw4AAGcOAABUDwAAVA8AAGYOAABVDwAAVw8AAFsPAABbDwAAXA8AAG8OAABvDgAAbw4AAGsOAABtDgAAcQ4AAF8PAABgDwAAdA4AAHQOAABwDgAAcA4AAHAOAABeDwAAcw4AAHYOAABlDwAAZQ8AAHcOAAB3DgAAeg4AAHoOAAB1DgAAdQ4AAHUOAABiDwAAZQ8AAGsPAAB8DgAAfA4AAHwOAAB8DgAAZw8AAGcPAAB7DgAAaA8AAGsPAABwDwAAgQ4AAIEOAACBDgAAgQ4AAIYOAACFDgAAbg8AAHIPAABwDwAAdA8AAHQPAAB1DwAAiw4AAIoOAABzDwAAdg8AAHgPAAB4DwAAeQ8AAIwOAACQDgAAjw4AAHcPAAB6DwAAeA8AAHwPAAB8DwAAfQ8AAJUOAACUDgAAew8AAH4PAACADwAAgA8AAIEPAACWDgAAmQ4AAJkOAACZDgAAlA4AAIAPAACFDwAAmw4AAJsOAACbDgAAmw4AAJ0OAACdDgAAmg4AAJoOAACaDgAAgw8AAIUPAACKDwAAig8AAIsPAAChDgAAoQ4AAJ4OAACeDgAAng4AAIgPAACgDgAAow4AAKQOAACjDgAAkA8AAJEPAACnDgAApw4AAKIOAACiDgAAog4AAI0PAACmDgAAqQ4AAKoOAACpDgAAqw4AAKoOAACsDgAAqw4AAK0OAACsDgAArg4AAK0OAACvDgAArg4AALAOAACvDgAAsQ4AALAOAACyDgAAsg4AALEOAACfDwAAtQ4AALUOAACoDgAAqA4AAKgOAACTDwAAsg4AAJ4PAACeDwAAtg4AALgOAAC3DgAAuQ4AALgOAAC6DgAAuQ4AALsOAAC6DgAAvA4AALsOAAC9DgAAvA4AAL4OAAC9DgAAvw4AAL4OAADADgAAvw4AAMEOAADADgAAwg4AAMEOAADDDgAAwg4AAMQOAADDDgAAsQ8AALIPAADJDgAAyA4AAMoOAADJDgAAoQ8AAKEPAAC2DwAAog8AAMYOAADLDgAAzA4AAMsOAADNDgAAzA4AAM4OAADNDgAAzw4AAM4OAAC0DwAAuw8AANEOAAC9DwAAvQ8AAL4PAADTDgAA0g4AANQOAADTDgAA1Q4AANUOAADUDgAAwQ8AAMQPAADEDwAAxA8AAMYPAADZDgAA2A4AANoOAADZDgAA2w4AANoOAADcDgAA2w4AAN0OAADcDgAA3g4AAN4OAADdDgAAzg8AAM4PAADNDwAA4g4AAOEOAADjDgAA4g4AAOQOAADjDgAA5Q4AAOQOAADmDgAA5Q4AAOcOAADmDgAA1g8AANYPAADoDgAA6A4AAO0OAADtDgAA2A8AAO4OAADZDwAA7w4AAPcOAADcDwAA3A8AAN0PAAD5DgAA+A4AAPoOAAD5DgAA+w4AAPoOAAD8DgAA+w4AAP0OAAD8DgAA/g4AAP0OAAD/DgAA/g4AAAAPAAD/DgAAvA8AALwPAADmDwAAvQ8AANUOAADCDwAAwg8AAMMPAADoDwAAxQ8AAMQPAADEDwAAxA8AANcOAADeDgAA4A4AANYPAADqDgAA6g4AAAcPAADtDwAA7Q8AAAgPAAAIDwAADA8AAAsPAAANDwAADA8AAA4PAAANDwAA2A8AANgPAADzDwAA2Q8AAPQPAADaDwAA9Q8AAPEOAADxDgAADw8AABAPAAAPDwAAEQ8AABAPAAASDwAAEQ8AABMPAAASDwAA2w8AANsPAAD7DwAA3A8AAPwPAAD8DwAA5w8AAPwPAAD/DwAA6Q8AAOgPAADoDwAA6A8AAAQPAADtDwAAAxAAABgPAAAYDwAAGA8AABgPAAAFEAAABRAAAAUQAAAHEAAA7w8AAAgQAAAUDwAA/Q8AAP0PAAD+DwAAChAAAAsQAAAWDwAA/w8AAAMQAAAMEAAADBAAAA0QAAAOEAAABhAAAAUQAAAFEAAABRAAABoPAAAREAAAERAAAAkQAAAREAAAFBAAAAsQAAAKEAAAChAAAAoQAAAfDwAAIQ8AACkPAAAPEAAADxAAABcQAAAjDwAAEhAAACUPAAAZEAAAGBAAABoQAAAbEAAAJw8AABQQAAAsDwAAGBAAABgQAAAZEAAAHRAAABsQAAAaEAAAGhAAABoQAAAtDwAAMA8AABwQAAAhEAAAIhAAADIPAAAdEAAAIxAAACMQAAAgEAAAIxAAACYQAAAiEAAAIRAAACEQAAAhEAAANQ8AADYPAAAkEAAAJBAAACUQAAAqEAAAKxAAADgPAAAmEAAAPQ8AACkQAAAtEAAALhAAAD8PAAAqEAAAQw8AACwQAAAwEAAAMRAAAEUPAAAtEAAASg8AAC8QAAAwEAAAMxAAADMQAAA0EAAAUQ8AADIQAAA2EAAANhAAADcQAABWDwAAWQ8AAFkPAABZDwAAVQ8AADYQAAA7EAAAWw8AAFsPAABbDwAAWw8AADgQAAA4EAAAWg8AADkQAAA7EAAAQBAAAF8PAABfDwAAXw8AAF8PAABjDwAAYg8AAD4QAABCEAAAQBAAAEUQAABkDwAAZA8AAGQPAABkDwAAaQ8AAGgPAABDEAAARxAAAEUQAABKEAAAag8AAGoPAABqDwAAag8AAG0PAABuDwAASBAAAEwQAABKEAAATxAAAG8PAABvDwAAbw8AAG8PAAByDwAAcg8AAHIPAABuDwAATxAAAFQQAAB0DwAAdA8AAHQPAAB0DwAAdg8AAHYPAABzDwAAcw8AAHMPAABSEAAAWRAAAFoQAAB1DwAAVBAAAHoPAAB6DwAAdw8AAHcPAAB3DwAAVxAAAFkQAABfEAAAfA8AAHwPAAB8DwAAfA8AAH4PAAB+DwAAew8AAHsPAAB7DwAAXBAAAGQQAABlEAAAfQ8AAF8QAABhEAAAYRAAAH8PAABiEAAAZBAAAGkQAACEDwAAhA8AAIQPAACEDwAAiQ8AAIgPAABnEAAAaxAAAGkQAABuEAAAig8AAIoPAACKDwAAig8AAI4PAACNDwAAbBAAAHAQAABuEAAAiw8AAIsPAACPDwAAdBAAAHQQAACQDwAAkA8AAJQPAACTDwAAcRAAAHYQAAB0EAAAkQ8AAJEPAACVDwAAlg8AAJUPAACXDwAAlg8AAJgPAACXDwAAmQ8AAJgPAACaDwAAmQ8AAJsPAACaDwAAnA8AAJsPAACdDwAAnA8AAJ8PAACdDwAAghAAAIMQAACjDwAAog8AAHcQAACEEAAAoA8AAKQPAAClDwAApA8AAKYPAAClDwAApw8AAKYPAACoDwAApw8AAKkPAACoDwAAqg8AAKkPAACrDwAAqg8AAKwPAACrDwAArQ8AAKwPAACuDwAArQ8AAK8PAACuDwAAsA8AAK8PAACxDwAAsA8AAJMQAACUEAAAsw8AAJYQAACWEAAAlxAAALYPAAC1DwAAhRAAAJgQAACyDwAAtw8AALgPAAC3DwAAuQ8AALgPAAC6DwAAuQ8AALsPAAC6DwAAlRAAAJUQAACeEAAAlhAAAL4PAAC9DwAAvw8AAL4PAADADwAAvw8AAMEPAADADwAAoxAAAKQQAAClEAAApRAAAKUQAACnEAAAxw8AAMYPAADIDwAAxw8AAMkPAADIDwAAyg8AAMkPAADLDwAAyg8AAMwPAADLDwAAzQ8AAMwPAADPDwAAzQ8AANAPAADPDwAA0Q8AANAPAADSDwAA0Q8AANMPAADSDwAA1A8AANMPAADVDwAA1A8AALYQAAC3EAAA3Q8AALkQAAC5EAAAuhAAAN8PAADeDwAA4A8AAN8PAADhDwAA4A8AAOIPAADhDwAA4w8AAOIPAADkDwAA4w8AAOUPAADkDwAA5g8AAOUPAACfEAAAwhAAAMMQAADDEAAApBAAAMMQAADGEAAAphAAAKUQAAClEAAApRAAAMUPAADXDwAA6w8AAOwPAADrDwAAyhAAAMsQAADMEAAAzBAAAMwQAADOEAAA8Q8AAPAPAADyDwAA8Q8AAPMPAADyDwAA9A8AAPMPAAD1DwAA9A8AAPYPAAD1DwAA9w8AAPYPAAD4DwAA9w8AAPkPAAD4DwAA+g8AAPkPAAD7DwAA+g8AALgQAAC4EAAA2xAAALkQAADnDwAAxBAAAMQQAADFEAAAARAAAAEQAAAAEAAA6Q8AAO4PAAACEAAA3hAAAN8QAADgEAAA4BAAAOAQAADiEAAAzRAAAM0QAADjEAAA7w8AAOQQAADkEAAA3BAAAOQQAADnEAAA5xAAAOcQAAALEAAABBAAAAwQAAANEAAADRAAAAwQAADhEAAA4BAAAOAQAADgEAAABhAAAAkQAADlEAAA5RAAAOYQAADuEAAA6BAAAOcQAADnEAAA5xAAAAsQAAANEAAADxAAABMQAADtEAAA8hAAAPMQAAAVEAAA7hAAAPQQAAD0EAAA8RAAAPQQAAAfEAAAHxAAAB4QAAAbEAAA9RAAABwQAAD5EAAA+BAAAPoQAAD6EAAA+hAAACIQAAAgEAAA+BAAAPgQAAD5EAAAKBAAACgQAAAnEAAAIhAAACUQAAD9EAAAJxAAAP4QAAABEQAAAREAAP8QAAABEQAAKxAAAAARAAACEQAALBAAAAYRAAAFEQAALhAAAAQRAAAFEQAALxAAAAkRAAAIEQAAChEAAAoRAAALEQAAMxAAAAgRAAAIEQAAMhAAAAkRAAAKEQAADhEAAA4RAAAPEQAANRAAAA0RAAAREQAAEREAABIRAAA6EAAAPRAAAD0QAAA9EAAAORAAABERAAAWEQAAPxAAAD8QAAA/EAAAPxAAAEIQAABCEAAAPhAAAD4QAAA+EAAAFBEAABYRAAAcEQAARBAAAEQQAABEEAAARBAAAEcQAABHEAAAQxAAAEMQAABDEAAAGREAABwRAAAiEQAASRAAAEkQAABJEAAASRAAAEwQAABMEAAASBAAAEgQAABIEAAAHxEAACIRAAAoEQAAThAAAE4QAABOEAAAThAAACQRAAAkEQAATRAAACURAAAoEQAALREAAFMQAABTEAAAUxAAAFMQAABYEAAAVxAAACsRAAAvEQAALREAADERAAAxEQAAMhEAAF0QAABcEAAAMBEAADMRAAA1EQAANREAADYRAABeEAAAYxAAAGIQAAA0EQAANxEAADURAAA5EQAAOREAADoRAABmEAAAZxAAADgRAAA7EQAAZRAAAGgQAAA9EQAAPhEAAGsQAABrEAAAaxAAAGcQAABBEQAAQREAAEIRAABtEAAAcBAAAHAQAABsEAAAbBAAAGwQAABAEQAAQREAAG8QAABvEAAAchAAAEgRAABIEQAAcxAAAHMQAABKEQAASxEAAHYQAAB2EAAAcRAAAHEQAABxEAAARBEAAEgRAAB1EAAAdRAAAHgQAAB5EAAAeBAAAHoQAAB5EAAAexAAAHoQAABMEQAATBEAAFURAABKEQAAShEAAHwQAAB+EAAAfRAAAH8QAAB+EAAAgBAAAH8QAACBEAAAgBAAAIIQAACBEAAAWxEAAFwRAACEEAAAhBAAAHcQAAB3EAAAdxAAAE8RAACDEAAAhhAAAIcQAACGEAAAiBAAAIcQAACJEAAAiBAAAIoQAACJEAAAixAAAIoQAACMEAAAixAAAI0QAACMEAAAjhAAAI0QAACPEAAAjhAAAJAQAACPEAAAkRAAAJAQAACSEAAAkRAAAJMQAACSEAAAlBAAAJQQAACTEAAAbxEAAJcQAAByEQAAchEAAHMRAABdEQAAXREAAHQRAABeEQAAlBAAAG4RAABuEQAAmRAAAJsQAACaEAAAnBAAAJsQAACdEAAAnBAAAJ4QAACdEAAAcREAAHERAAB6EQAAchEAAKAQAAB8EQAAfBEAAH0RAACiEAAAoRAAAKMQAACiEAAAfxEAAIARAACBEQAAgREAAIERAACDEQAAqBAAAKcQAACpEAAAqBAAAKoQAACpEAAAqxAAAKoQAACsEAAAqxAAAK0QAACsEAAArhAAAK0QAACvEAAArhAAALAQAACvEAAAsRAAALAQAACyEAAAsRAAALMQAACyEAAAtBAAALMQAAC1EAAAtBAAALYQAAC1EAAAkxEAAJQRAAC6EAAAuRAAALsQAAC6EAAAvBAAALsQAAC9EAAAvBAAAL4QAAC9EAAAvxAAAL4QAADAEAAAvxAAAMEQAADAEAAAwhAAAMEQAAB7EQAAexEAAJ8RAAB8EQAApBAAAMMQAACgEQAAoREAAKIRAACCEQAAgREAAIERAACBEQAAphAAALcQAADJEAAAyhAAAMkQAACmEQAApxEAAKgRAACoEQAAqBEAAKoRAADPEAAAzhAAANAQAADPEAAA0RAAANAQAADSEAAA0RAAANMQAADSEAAA1BAAANMQAADVEAAA1BAAANYQAADVEAAA1xAAANYQAADYEAAA1xAAANkQAADYEAAA2hAAANkQAADbEAAA2hAAAJURAAC4EQAAuREAALkRAAChEQAAuREAALwRAAC9EQAAxxAAAKIRAADLEAAA3hAAAL4RAAC/EQAAwBEAAMARAADAEQAAwhEAAKkRAACpEQAAwxEAAM0QAADcEAAAuhEAALoRAAC7EQAAxREAAL0RAAC8EQAAvBEAALwRAADdEAAA3xAAAOoQAADBEQAAwREAAMgRAADhEAAA5hAAAMQRAADwEAAA8BAAAO8QAADoEAAAyxEAAMsRAADJEQAAyxEAAM4RAADOEQAAzhEAAPMQAADxEAAAzBEAAMwRAADNEQAA0hEAANMRAADzEAAAzhEAAPYQAADREQAA1REAANMRAADSEQAA0hEAANIRAAD3EAAA2BEAANgRAADUEQAA2BEAANsRAADcEQAA+xAAANURAADZEQAA/RAAAN4RAADdEQAA3xEAAOARAAD+EAAA2xEAAP8QAADdEQAA3REAAN4RAADiEQAA4xEAAAARAADfEQAAAxEAAOERAADlEQAA5hEAAAQRAADiEQAABhEAAOQRAADlEQAA6BEAAOgRAADpEQAADBEAAAwRAAAMEQAACREAAOwRAADsEQAA7REAAA4RAADqEQAA6hEAAA0RAADrEQAA7BEAAPARAADwEQAA8REAABARAADvEQAA8xEAAPMRAAD0EQAAFREAABoRAAAZEQAA8hEAAPURAADzEQAA+BEAABsRAAAbEQAAGxEAABsRAAAgEQAAHxEAAPYRAAD6EQAA+BEAAP0RAAAhEQAAIREAACERAAAhEQAAJhEAACURAAD7EQAA/xEAAP0RAAACEgAAJxEAACcRAAAnEQAAJxEAACoRAAArEQAAABIAAAQSAAACEgAABxIAACwRAAAsEQAALBEAACwRAAAvEQAAMBEAAAUSAAAJEgAABxIAAAwSAAAxEQAAMREAADERAAAxEQAAMxEAADMRAAAzEQAAMBEAABASAAAREgAAMhEAAAwSAAA3EQAANxEAADQRAAA0EQAANBEAAA8SAAAQEgAAFhIAADkRAAA5EQAAOREAADkRAAA7EQAAOxEAADgRAAA4EQAAOBEAABMSAAAWEgAAHBIAAD0RAAA9EQAAPREAAD0RAAAYEgAAGBIAADwRAAAZEgAAHBIAACASAAAgEgAAIRIAAEURAABEEQAAHxIAACISAABCEQAARhEAAEcRAABGEQAAJRIAACYSAAAnEgAAJxIAACcSAAAoEgAATREAAE0RAABLEQAAKxIAACwSAAAuEgAAUBEAAE8RAAAjEgAAMBIAAEkRAABREQAAUhEAAFERAABTEQAAUhEAAFQRAABTEQAAKRIAACkSAAA1EgAATBEAAE0RAABXEQAALRIAAC0SAAAtEgAAVxEAAFkRAABYEQAAWhEAAFkRAABbEQAAWhEAADkSAAA6EgAAXxEAAF4RAAAxEgAAOxIAAFwRAABgEQAAYREAAGARAABiEQAAYREAAGMRAABiEQAAZBEAAGMRAABlEQAAZBEAAGYRAABlEQAAZxEAAGYRAABoEQAAZxEAAGkRAABoEQAAahEAAGkRAABrEQAAahEAAGwRAABrEQAAbREAAGwRAABvEQAAbREAAEsSAABMEgAAcxEAAHIRAAB0EQAAcxEAADwSAABPEgAAcBEAAHURAAB2EQAAdREAAHcRAAB2EQAAeBEAAHcRAAB5EQAAeBEAAHoRAAB5EQAAThIAAFUSAAB9EQAAVxIAAFcSAABYEgAAfxEAAH4RAACAEQAAgBEAAH8RAABaEgAAgxEAAIIRAACEEQAAgxEAAIURAACEEQAAhhEAAIURAACHEQAAhhEAAIgRAACHEQAAiREAAIgRAACKEQAAiREAAIsRAACKEQAAjBEAAIsRAACNEQAAjBEAAI4RAACNEQAAjxEAAI4RAACQEQAAjxEAAJERAACQEQAAkhEAAJERAACTEQAAkhEAAG4SAABvEgAAcBIAAHASAAByEgAAcxIAAHYSAAB2EgAAdhIAAHgSAACXEQAAlhEAAJgRAACXEQAAmREAAJgRAACaEQAAmREAAJsRAACaEQAAnBEAAJsRAACdEQAAnBEAAJ4RAACdEQAAnxEAAJ4RAABWEgAAVhIAAIMSAABXEgAAgBEAAKERAACgEQAAoBEAAKARAACEEgAApBEAAKMRAABdEgAAiBIAAJQRAAClEQAAphEAAKURAACKEgAAixIAAIwSAACMEgAAjBIAAI4SAACrEQAAqhEAAHESAABxEgAAkBIAAK0RAAB0EgAAdBIAAHQSAACtEQAArxEAAK4RAACwEQAArxEAALERAACwEQAAshEAALERAACzEQAAshEAALQRAACzEQAAtREAALQRAAC2EQAAtREAALcRAAC2EQAAdxIAAHcSAACaEgAAlREAAKERAACFEgAAhRIAAIYSAACcEgAAnBIAAJwSAAC9EQAApxEAAL4RAAC/EQAAvxEAAL4RAAChEgAAoRIAAKASAACNEgAAjRIAAKISAACpEQAAoxIAAKMSAACbEgAAoxIAAKYSAACdEgAAnBIAAJwSAACcEgAAvREAAL8RAADBEQAApBIAAMQRAACqEgAAqRIAAKsSAACsEgAAxhEAAKYSAADJEQAAqRIAAKkSAACqEgAA0BEAANARAADPEQAAyhEAAM0RAACtEgAAsBIAALASAACwEgAA0xEAALMSAACzEgAArxIAALMSAADXEQAA1xEAANYRAADTEQAA1BEAALQSAAC0EgAAtRIAANYRAAC2EgAA2hEAALcSAADcEQAAuBIAAN4RAAC5EgAA4BEAALoSAADhEQAAuxIAAOMRAAC8EgAA5BEAAL0SAADAEgAAwBIAAMESAADoEQAA5xEAAL8SAADAEgAAwxIAAMMSAADEEgAA7hEAAO4RAADuEQAA6xEAAMcSAADHEgAAyBIAAPARAADFEgAAxRIAAO8RAADGEgAAxxIAAMsSAADLEgAAzBIAAPURAAD1EQAA9REAAPIRAAD0EQAA9xEAAM8SAADQEgAA+hEAAPoRAAD2EQAA9hEAAPYRAADOEgAA1BIAANQSAADVEgAA/BEAAP8RAAD/EQAA+xEAAPsRAAD7EQAA0hIAANQSAADaEgAAARIAAAESAAABEgAAARIAAAQSAAAEEgAAABIAAAASAAAAEgAA1xIAANoSAADgEgAABhIAAAYSAAAGEgAABhIAAAkSAAAJEgAABRIAAAUSAAAFEgAA3RIAAOASAADmEgAACxIAAAsSAAALEgAACxIAAOISAADiEgAAChIAAOMSAADmEgAA6hIAAOoSAADrEgAAFBIAABMSAADpEgAA7BIAAO4SAADuEgAA7xIAABUSAAAaEgAAGRIAAO0SAADwEgAA7hIAAPMSAAAbEgAAGxIAABsSAAAbEgAA9RIAAPYSAAAeEgAAHxIAAPESAAD5EgAA8xIAAPwSAAAgEgAAIBIAACASAAAgEgAA/hIAAPcSAAD3EgAA9RIAAAITAAACEwAAAxMAAAITAAAiEgAAIhIAACISAAAfEgAA/BIAACESAAAhEgAAJBIAAAkTAAAJEwAAJRIAACUSAAAoEgAAKRIAACoSAAAoEgAAABMAAAATAAANEwAALhIAAAETAAAvEgAALxIAAA4TAAAPEwAADhMAADASAAAwEgAAIxIAACMSAAAjEgAABhMAAAkTAAAmEgAAJhIAADISAAAzEgAAMhIAADQSAAAzEgAANRIAADQSAAAMEwAAFxMAAC8SAAAOEwAADhMAADYSAAA4EgAANxIAADkSAAA4EgAAGhMAABsTAAA7EgAAPBIAABATAAAQEwAAHhMAABETAAA6EgAAPRIAAD4SAAA9EgAAPxIAAD4SAABAEgAAPxIAAEESAABAEgAAQhIAAEESAABDEgAAQhIAAEQSAABDEgAARRIAAEQSAABGEgAARRIAAEcSAABGEgAASBIAAEcSAABJEgAASBIAAEoSAABJEgAASxIAAEoSAAAtEwAALhMAAE0SAAAwEwAAMBMAADETAAAdEwAAMRMAAEwSAABQEgAAURIAAFASAABSEgAAURIAAFMSAABSEgAAVBIAAFMSAABVEgAAVBIAAC8TAAAvEwAAOBMAADATAABYEgAAVxIAAFkSAABYEgAAWhIAAFkSAAA8EwAAPRMAAD4TAAA+EwAAPhMAAEATAABfEgAAXhIAAGASAABfEgAAYRIAAGASAABiEgAAYRIAAGMSAABiEgAAZBIAAGMSAABlEgAAZBIAAGYSAABlEgAAZxIAAGYSAABoEgAAZxIAAGkSAABoEgAAahIAAGkSAABrEgAAahIAAGwSAABrEgAAbRIAAGwSAABuEgAAbRIAAFETAABSEwAAUxMAAFMTAABTEwAAVRMAAHMSAAByEgAAVxMAAFgTAAB4EgAAdxIAAHkSAAB4EgAAehIAAHkSAAB7EgAAehIAAHwSAAB7EgAAfRIAAHwSAAB+EgAAfRIAAH8SAAB+EgAAgBIAAH8SAACBEgAAgBIAAIISAACBEgAAgxIAAIISAAA5EwAAZRMAAFwSAACEEgAAZhMAAGcTAABoEwAAPxMAAD4TAAA+EwAAPhMAAF0SAABvEgAAiRIAAIoSAACJEgAAbBMAAG0TAABuEwAAbhMAAG4TAABwEwAAjxIAAI4SAABUEwAAVBMAAHITAABxEgAAdRIAAJESAACSEgAAkRIAAJMSAACSEgAAlBIAAJMSAACVEgAAlBIAAJYSAACVEgAAlxIAAJYSAACYEgAAlxIAAJkSAACYEgAAmhIAAJkSAABZEwAAfBMAAH0TAAB9EwAAZxMAAH0TAACAEwAAaRMAAGgTAABoEwAAaBMAAIcSAACLEgAAnxIAAKASAACfEgAAbxMAAG8TAACEEwAAjRIAAJsSAAB+EwAAfhMAAH8TAACoEgAAqBIAAKcSAACdEgAApRIAAIUTAACIEwAAiBMAAIgTAACsEgAAixMAAIsTAACHEwAAixMAAI4TAACPEwAArBIAAIgTAACMEwAArRIAAJETAACQEwAAshIAALISAACxEgAArhIAAK8SAACQEwAAkBMAAJETAACxEgAAkhMAALUSAACTEwAAthIAAJQTAAC3EgAAlRMAALgSAACWEwAAuRIAAJcTAACaEwAAmhMAAJoTAAC8EgAAuxIAAJkTAACaEwAAnhMAAJ4TAACfEwAAvRIAAJ0TAAC+EgAAnxMAAL8SAACgEwAAoxMAAKMTAACkEwAAwxIAAMISAACiEwAAoxMAAKYTAACmEwAApxMAAMkSAADKEgAApRMAAKgTAACqEwAAqhMAAKsTAADLEgAAyhIAAKkTAACqEwAArhMAAM8SAADPEgAAzxIAAM8SAADTEgAA0hIAAKwTAACwEwAArhMAALITAACyEwAAsxMAANgSAADXEgAAsRMAALQTAADVEgAA2RIAALYTAAC3EwAA3hIAAN0SAAC1EwAAuBMAALoTAAC6EwAAuxMAAN8SAADkEgAA4xIAALkTAAC8EwAAuhMAAL8TAADlEgAA5RIAAOUSAADlEgAAwRMAAMITAADoEgAA6RIAAL0TAADFEwAAvxMAAMgTAADqEgAA6hIAAOoSAADqEgAAyhMAAMMTAADDEwAAwRMAAM4TAADNEwAA7BIAAOwSAADsEgAA6RIAAMgTAADREwAA0RMAANITAADTEwAA1BMAAM0TAADVEwAA1hMAANYTAADXEwAA1hMAAPASAADwEgAA7RIAAO0SAADtEgAA0BMAANwTAADcEwAA3RMAAPISAADeEwAA3xMAAPYSAAD2EgAA1RMAAPgSAAD4EgAA4BMAAOETAADgEwAA+RIAAPkSAADxEgAA8RIAAPESAADaEwAA3BMAAPQSAAD0EgAA+xIAAOYTAADnEwAA/xIAAP8SAAAAEwAA9xIAAPgSAADgEwAA4BMAAOETAADiEwAA4hMAAPoSAADjEwAA/RIAAAcTAADtEwAA7RMAAAgTAAAIEwAACxMAAAwTAAANEwAACxMAAOgTAADxEwAABBMAAOkTAAASEwAAERMAAOsTAADzEwAA7RMAAAoTAAAKEwAAExMAABQTAAATEwAAFRMAABQTAAAWEwAAFRMAABcTAAAWEwAA8BMAAPoTAAAPEwAAGBMAABkTAAAYEwAAGhMAABkTAAD9EwAA/hMAABwTAAAAFAAAABQAAAEUAAD0EwAAARQAABsTAAAfEwAAIBMAAB8TAAAhEwAAIBMAACITAAAhEwAAIxMAACITAAAkEwAAIxMAACUTAAAkEwAAJhMAACUTAAAnEwAAJhMAACgTAAAnEwAAKRMAACgTAAAqEwAAKRMAACsTAAAqEwAALBMAACsTAAAtEwAALBMAABAUAAARFAAAMRMAADATAAD/EwAA/xMAABQUAAAAFAAALhMAADITAAAzEwAAMhMAADQTAAAzEwAANRMAADQTAAA2EwAANRMAADcTAAA2EwAAOBMAADcTAAATFAAAGxQAABwUAAAcFAAAHhQAAB8UAAA6EwAAORMAADsTAAA6EwAAPBMAADsTAAAlFAAAJhQAACcUAAAnFAAAJxQAACkUAABBEwAAQBMAAEITAABBEwAAQxMAAEITAABEEwAAQxMAAEUTAABEEwAARhMAAEUTAABHEwAARhMAAEgTAABHEwAASRMAAEgTAABKEwAASRMAAEsTAABKEwAAHRQAAB0UAAA1FAAATRMAACAUAAAgFAAAIBQAAE0TAABPEwAAThMAAFATAABPEwAAURMAAFATAAA5FAAAOhQAADsUAAA7FAAAOxQAAD0UAABWEwAAVRMAAFcTAABWEwAAQBQAAEEUAABCFAAAQhQAAEQUAABFFAAAWhMAAFkTAABbEwAAWhMAAFwTAABbEwAAXRMAAFwTAABeEwAAXRMAAF8TAABeEwAAYBMAAF8TAABhEwAAYBMAAGITAABhEwAAYxMAAGITAABkEwAAYxMAAGUTAABkEwAAIhQAAFQUAAA9EwAAZhMAAFUUAABWFAAAVxQAACgUAAAnFAAAJxQAACcUAAA/EwAAUhMAAGsTAABsEwAAaxMAAG0TAABtEwAAbBMAAF0UAABcFAAAXxQAAF8UAABeFAAAcRMAAHATAAA8FAAAPBQAAGEUAABUEwAAWBMAAHMTAAB0EwAAcxMAAHUTAAB0EwAAdhMAAHUTAAB3EwAAdhMAAHgTAAB3EwAAQxQAAEMUAABnFAAAehMAAEYUAABGFAAARhQAAHoTAAB8EwAAexMAAEgUAABpFAAAZxMAAH0TAABqFAAAaxQAAGwUAABYFAAAVxQAAFcUAABXFAAAaRMAAG0TAACEEwAAXxQAAG8TAAB/EwAAaxQAAHAUAABxFAAAgRMAAGwUAAByFAAAchQAAG8UAAByFAAAihMAAIoTAACJEwAAhhMAAIcTAABzFAAAcxQAAHQUAACJEwAAdRQAAI0TAAB2FAAAeRQAAHkUAAB5FAAAkhMAAJETAAB4FAAAfRQAAH4UAACSEwAAeRQAAJMTAAB8FAAAgBQAAIEUAACUEwAAfRQAAJUTAAB/FAAAgxQAAIQUAACWEwAAgBQAAJcTAACCFAAAnBMAAJwTAACbEwAAmBMAAJkTAACFFAAAiBQAAIgUAACJFAAAnhMAAJ0TAACHFAAAiBQAAIsUAACLFAAAjBQAAKATAACKFAAAoRMAAIwUAACiEwAAjRQAAJAUAACQFAAAkRQAAKYTAACoEwAAqRMAAI8UAACSFAAAkBQAAJQUAACUFAAAlRQAAKkTAACTFAAAqxMAAK0TAACXFAAAmBQAALATAACxEwAAlhQAAJkUAACbFAAAmxQAAJwUAACyEwAAnRQAAJ0UAACeFAAAoRQAALQTAAC1EwAAmhQAAKMUAACbFAAAphQAALYTAAC2EwAAthMAALYTAACoFAAAqRQAAKAUAACqFAAAqxQAAKoUAAC4EwAAuRMAAKQUAACsFAAAphQAAK4UAACuFAAArxQAALAUAACxFAAAqhQAALIUAACzFAAAsxQAALQUAACzFAAAvBMAALwTAAC8EwAAuRMAALgUAAC4FAAAuRQAAL4TAAC6FAAAuxQAAMITAADCEwAAshQAAMQTAADEEwAAvBQAAL0UAAC8FAAAxRMAAMUTAAC9EwAAvRMAAL0TAAC3FAAAuBQAAMIUAADHEwAAxxMAAMcTAADHEwAAyxMAAMsTAADMEwAAwxMAALwUAADEEwAAxhQAAMUUAAC+FAAAvhQAAMYTAAC/FAAAwhQAAMoUAADREwAA0RMAANETAADREwAAzBMAAMQUAADOEwAAxRQAAMUUAADGFAAA2xMAANoTAADIFAAAzhQAAMoUAADQFAAA0BQAANEUAADUEwAAzBQAANgTAADNFAAA5BMAAOMTAADPFAAA1BQAAN0TAADlEwAA1xQAANcUAADmEwAA5hMAAN8TAADSFAAA4RMAANMUAADqEwAA6xMAANUUAADbFAAA1xQAAOcTAADnEwAA7BMAAN4UAADfFAAA7xMAAOEUAADhFAAA4hQAANkUAADiFAAA6RMAANoUAADzEwAA9BMAANwUAADkFAAA7hMAAPUTAAD2EwAA9RMAAPcTAAD2EwAA+BMAAPcTAAD5EwAA+BMAAPoTAAD5EwAA4BQAAOAUAADsFAAA4RQAAPITAAD7EwAA/BMAAPsTAAD9EwAA/BMAAP4TAAD+EwAA/RMAAPEUAAABFAAAABQAAOUUAADzFAAA/hMAAPAUAADwFAAAAhQAAAQUAAADFAAABRQAAAQUAAAGFAAABRQAAAcUAAAGFAAACBQAAAcUAAAJFAAACBQAAAoUAAAJFAAACxQAAAoUAAAMFAAACxQAAA0UAAAMFAAADhQAAA0UAAAPFAAADhQAABAUAAAPFAAAAhUAAAMVAAASFAAAExQAABQUAAASFAAA9BQAAAYVAAARFAAAFRQAABYUAAAVFAAAFxQAABYUAAAYFAAAFxQAABkUAAAYFAAAGhQAABkUAAAbFAAAGhQAAAUVAAANFQAADhUAAA4VAAAQFQAAEhUAABIVAAARFQAAHxQAAB4UAAAUFQAAFRUAACMUAAAiFAAAJBQAACMUAAAlFAAAJBQAABkVAAAaFQAAKRQAACgUAAAqFAAAKRQAACsUAAAqFAAALBQAACsUAAAtFAAALBQAAC4UAAAtFAAALxQAAC4UAAAwFAAALxQAADEUAAAwFAAAMhQAADEUAAAzFAAAMhQAAA8VAAAPFQAAJhUAADUUAAASFQAAHRQAACEUAAA2FAAANxQAADYUAAA4FAAANxQAADkUAAA4FAAAKhUAACsVAAAsFQAALBUAACwVAAAuFQAAPhQAAD0UAAA/FAAAPhQAAEAUAAA/FAAAMhUAADMVAAA0FQAANBUAADQVAAA2FQAARRQAAEQUAAA4FQAAORUAADoVAAA6FQAAOhUAADwVAABKFAAASRQAAEsUAABKFAAATBQAAEsUAABNFAAATBQAAE4UAABNFAAATxQAAE4UAABQFAAATxQAAFEUAABQFAAAUhQAAFEUAABTFAAAUhQAAFQUAABTFAAAFhUAAEgVAAAmFAAAVRQAAFYUAABWFAAAVRQAAEoVAABZFAAAWBQAABsVAABOFQAAOhQAAFoUAABbFAAAWhQAAFwUAABbFAAAXhQAAFwUAABgFAAAXhQAAC0VAAAtFQAAUxUAADwUAABBFAAAYhQAAGMUAABiFAAAZBQAAGMUAABlFAAAZBQAAGYUAABlFAAANRUAADUVAABYFQAAQxQAAEcUAABoFAAAOxUAADsVAABZFQAASBQAAFYUAABLFQAASxUAAEwVAABuFAAAbRQAAE0VAABcFQAAXRUAAF0VAABaFQAAXRUAAG0UAABbFQAAbxQAAF4VAABeFQAAXxUAAGIVAABiFQAAYhUAAHUUAAB0FAAAYRUAAGYVAABnFQAAdRQAAGIVAAB2FAAAZRUAAHsUAAB7FAAAehQAAHcUAAB4FAAAaBUAAHoUAABpFQAAfBQAAGoVAAB+FAAAaxUAAH8UAABsFQAAgRQAAG0VAACCFAAAbhUAAIQUAABvFQAAhRQAAHAVAACGFAAAcRUAAIcUAAByFQAAdRUAAHUVAAB2FQAAixQAAIoUAAB0FQAAdRUAAHgVAAB4FQAAeRUAAHoVAAB6FQAAehUAAI8UAACOFAAAeRUAAH4VAAB+FQAAfxUAAIIVAACSFAAAkhQAAJMUAACPFAAAkRQAAJQUAACFFQAAhhUAAIcVAACIFQAAgRUAAIkVAACKFQAAiRUAAJMUAACEFQAAjBUAAIwVAACNFQAAlxQAAI4VAACPFQAAiRUAAJAVAACRFQAAkRUAAJIVAACRFQAAmRQAAJoUAACLFQAAlBUAAIwVAACWFQAAlhUAAJcVAACeFAAAnhQAAJ8UAAChFAAAkBUAAKIUAACiFAAAmRUAAJoVAACZFQAAoxQAAKQUAACVFQAAmxUAAJ0VAACdFQAAnhUAAKUUAACfFAAAmBUAAJkVAACiFAAAoRUAAKAVAACsFAAArBQAAKwUAACkFAAAnRUAAKUVAACuFAAArhQAAK4UAACuFAAAqRQAAJ8VAACrFAAAoBUAAKAVAAChFQAAohUAAKIVAACtFAAAoxUAAKUVAACrFQAAqxUAAKwVAACxFAAApxUAALUUAACoFQAAwBQAAL8UAACqFQAArxUAALEVAACxFQAAshUAAMEUAAC7FAAArRUAAL0UAACuFQAAxxQAAMgUAACwFQAAtRUAALEVAAC4FQAAyRQAAMkUAADJFAAAyRQAAMQUAACzFQAAxhQAALQVAADOFAAAzxQAALYVAAC8FQAAuBUAAL8VAADQFAAA0BQAANAUAADQFAAAzBQAALoVAADNFAAAuxUAANQUAADUFAAA1BQAAM8UAAC/FQAAxhUAANYUAADWFAAA1hQAANYUAADSFAAAwRUAANMUAADCFQAA2xQAANsUAADVFAAA1RQAANUUAADEFQAAxhUAANgUAADYFAAA3RQAAM8VAADPFQAA3hQAAN4UAADiFAAA4RQAAMgVAADRFQAA2hQAAMkVAADkFAAA5BQAANwUAADcFAAA3BQAAMsVAADPFQAA3xQAAN8UAADmFAAA5xQAAOYUAADoFAAA5xQAAOkUAADoFAAA6hQAAOkUAADrFAAA6hQAAOwUAADrFAAA0hUAAN4VAADjFAAA7RQAAO4UAADtFAAA7xQAAO4UAADxFAAA7xQAAOIVAADjFQAA8xQAAPMUAADlFAAA5RQAAOUUAADVFQAA8hQAAPUUAAD2FAAA9RQAAPcUAAD2FAAA+BQAAPcUAAD5FAAA+BQAAPoUAAD5FAAA+xQAAPoUAAD8FAAA+xQAAP0UAAD8FAAA/hQAAP0UAAD/FAAA/hQAAAAVAAD/FAAAARUAAAAVAAACFQAAARUAAPQVAAD1FQAABBUAAPcVAAD3FQAA+BUAAOQVAADkFQAA+RUAAOUVAAADFQAABxUAAAgVAAAHFQAACRUAAAgVAAAKFQAACRUAAAsVAAAKFQAADBUAAAsVAAANFQAADBUAAPYVAAD2FQAAARYAAPcVAAAQFQAADxUAABEVAAAQFQAAExUAABEVAAAUFQAAExUAAAYWAAAHFgAAFxUAABYVAAAYFQAAFxUAABkVAAAYFQAACxYAAAwWAAANFgAADRYAAA0WAAAPFgAAHRUAABwVAAAeFQAAHRUAAB8VAAAeFQAAIBUAAB8VAAAhFQAAIBUAACIVAAAhFQAAIxUAACIVAAAkFQAAIxUAACUVAAAkFQAAJhUAACUVAAACFgAAGhYAABUVAAAnFQAAKBUAACcVAAApFQAAKBUAACoVAAApFQAAHhYAAB8WAAAuFQAALRUAAC8VAAAuFQAAMBUAAC8VAAAxFQAAMBUAACUWAAAlFgAAMhUAADIVAAA2FQAANRUAADcVAAA2FQAAOBUAADcVAAA5FQAAORUAADgVAAAsFgAALBYAACsWAAA9FQAAPBUAAD4VAAA9FQAAPxUAAD4VAABAFQAAPxUAAEEVAABAFQAAQhUAAEEVAABDFQAAQhUAAEQVAABDFQAARRUAAEQVAABGFQAARRUAAEcVAABGFQAASBUAAEcVAAAIFgAAORYAABoVAABJFQAAShUAAEkVAAA7FgAAPBYAAD0WAAAOFgAADRYAAA0WAAANFgAAGxUAACsVAABPFQAAUBUAAE8VAABRFQAAUBUAAFIVAABRFQAAUxUAAFIVAAAgFgAARBYAACUWAAAzFQAAMxUAAFQVAABVFQAAVBUAAFYVAABVFQAAVxUAAFYVAABYFQAAVxUAACcWAABKFgAAORUAADsVAABMFQAAPBYAAFwVAABcFQAAWxUAAE0VAABaFQAAXRUAAE0WAABOFgAATxYAAE8WAABPFgAAYBUAAF8VAABOFgAAZBUAAGQVAABjFQAAYBUAAGEVAABSFgAAYxUAAFMWAABlFQAAVBYAAGcVAABVFgAAaBUAAFYWAABpFQAAVxYAAGoVAABYFgAAaxUAAFkWAABsFQAAWhYAAG0VAABbFgAAbhUAAFwWAABvFQAAXRYAAHAVAABeFgAAcRUAAF8WAAByFQAAYBYAAHMVAABhFgAAZBYAAGQWAABlFgAAaBYAAGoWAABqFgAAahYAAHcVAAB2FQAAeBUAAG0WAABuFgAAbxYAAHAWAABnFgAAcRYAAHIWAAByFgAAcxYAAHIWAAB7FQAAexUAAHwVAAB3FQAAeRUAAG4WAAB/FQAAfxUAAIAVAACCFQAAcRYAAIMVAACDFQAAeBYAAHkWAAB4FgAAfBUAAHUWAAB7FgAAexYAAHwWAACFFQAAgBUAAHcWAAB4FgAAgxUAAH8WAAB+FgAAgBYAAIAWAACBFgAAhBYAAIQVAAB6FgAAexYAAIcWAACHFgAAiBYAAIkWAACJFgAAiRYAAI8VAACKFQAAfhYAAH4WAAB/FgAAjRYAAI4WAACDFgAAjxYAAJAWAACPFgAAlBUAAJUVAACGFgAAkRYAAI0VAACWFQAAkxYAAJQWAACVFgAAlhYAAI8VAACJFgAAkxUAAIwWAACYFgAAmRYAAI8WAACaFgAAmxYAAJoWAACbFQAAnBUAAJIWAACcFgAAlxUAAJQWAACfFgAAoBYAAJgVAACVFgAAmhUAAJcWAACYFgAAmhYAAKMWAACbFgAAnBUAAJ0WAACeFQAApBUAAKUWAACmFgAAnxYAAKcWAACnFgAAqBYAAKEVAAChFgAAqRUAAKoVAACkFgAAqhYAAKwWAACsFgAArRYAAKsVAACnFQAAqBYAAKgVAACpFgAArxUAALAVAACrFgAAsBYAAKwWAACyFgAAshYAALMWAACtFQAArhYAAK4VAACvFgAAtRUAALYVAACxFgAAthYAALIVAAC3FQAAuBYAALkWAACzFQAAtBYAALsWAAC7FgAAuxYAALsVAAC8FQAAvRUAALcWAAC+FgAAwBYAAMAWAADBFgAAvhUAAMIWAADCFgAAuhYAAMMWAADCFgAAvBYAALwWAAC7FgAAuxUAALsWAAC9FQAAvxYAAMAWAADAFQAAwBUAAMUVAADJFgAAyhYAAMMWAADBFQAAxRYAAMwWAADGFgAAzRYAAMIVAADGFgAAzBUAAMsVAADHFgAAzhYAAMcVAADNFQAAzhUAAM0VAADRFgAA0hYAANEVAADRFQAAyBUAAMgVAADIFQAAzBYAANYWAADWFgAA1hYAAMwWAADJFQAAzRYAANYVAADVFQAAzxYAANkWAADQFQAA1xUAANgVAADXFQAA2RUAANgVAADaFQAA2RUAANsVAADaFQAA3BUAANsVAADdFQAA3BUAAN4VAADdFQAA0xYAANMWAADjFgAA1BYAANcWAADTFQAA0xUAAN8VAADgFQAA3xUAAOEVAADgFQAA4hUAAOEVAADoFgAA6RYAAOYVAADlFQAA2hYAAOoWAADjFQAA5xUAAOgVAADnFQAA6RUAAOgVAADqFQAA6RUAAOsVAADqFQAA7BUAAOsVAADtFQAA7BUAAO4VAADtFQAA7xUAAO4VAADwFQAA7xUAAPEVAADwFQAA8hUAAPEVAADzFQAA8hUAAPQVAADzFQAA+RYAAPoWAAD4FQAA9xUAAPkVAAD4FQAA6xYAAP0WAAD1FQAA+hUAAPsVAAD6FQAA/BUAAPsVAAD9FQAA/BUAAP4VAAD9FQAA/xUAAP4VAAAAFgAA/xUAAAEWAAAAFgAA/BYAAAUXAAAGFwAABhcAAAYXAAAIFwAABBYAAAMWAAAFFgAABBYAAAYWAAAFFgAADBcAAA0XAAAOFwAADhcAAA4XAAAQFwAAChYAAAkWAAALFgAAChYAABMXAAAUFwAADxYAAA4WAAAQFgAADxYAABEWAAAQFgAAEhYAABEWAAATFgAAEhYAABQWAAATFgAAFRYAABQWAAAWFgAAFRYAABcWAAAWFgAAGBYAABcWAAAZFgAAGBYAAAcXAAAHFwAAIBcAAAIWAAAHFgAAGxYAABwWAAAbFgAAHRYAABwWAAAeFgAAHRYAACQXAAAlFwAAIRYAACcXAAAnFwAAKBcAACMWAAAiFgAAKhcAACoXAAAkFgAAJBYAACwXAAAsFwAALBcAAC4XAAApFgAAKBYAACoWAAApFgAAKxYAACoWAAAtFgAAKxYAAC4WAAAtFgAALxYAAC4WAAAwFgAALxYAADEWAAAwFgAAMhYAADEWAAAzFgAAMhYAADQWAAAzFgAANRYAADQWAAA2FgAANRYAADcWAAA2FgAAOBYAADcWAAAPFwAADxcAAD4XAAAIFgAADBYAADoWAAA7FgAAOhYAAEAXAABBFwAAPxYAAD4WAAAVFwAAQxcAAB8WAABAFgAAQRYAAEAWAABCFgAAQRYAAEMWAABCFgAARBYAAEMWAAAmFwAAJhcAAEkXAAAnFwAAKhcAACYWAAAmFgAARRYAAEYWAABFFgAARxYAAEYWAABIFgAARxYAAEkWAABIFgAALRcAAC0XAABPFwAAJxYAADwWAABBFwAAPhYAAEIXAABLFgAATRYAAFIXAABTFwAAURYAAFAWAABRFwAAVRcAAE4WAABTFwAAUBYAAFQXAABSFgAAVhcAAFMWAABXFwAAVBYAAFgXAABVFgAAWRcAAFYWAABaFwAAVxYAAFsXAABYFgAAXBcAAFkWAABdFwAAWhYAAF4XAABbFgAAXxcAAFwWAABgFwAAXRYAAGEXAABkFwAAZBcAAGUXAABoFwAAXhYAAGIXAABfFgAAYxcAAGwXAABtFwAAZxcAAG4XAABvFwAAbxcAAHAXAABvFwAAchcAAHIXAAByFwAAYhYAAGEWAABrFwAAZRYAAGUWAABmFgAAaBYAAG4XAABpFgAAaRYAAHcXAAB4FwAAdxcAAGsWAABrFgAAbBYAAGIWAABjFgAAbRYAAHoXAAB7FwAAZhYAAHYXAABpFgAAdxcAAHcXAAB4FwAAbBYAAHkXAABuFgAAexcAAIAXAACAFwAAgBcAAHcWAAB0FgAAfRcAAIQXAACEFwAAhRcAAIcXAACIFwAAihcAAHUWAAB+FwAAdhYAAH8XAACOFwAAjxcAAHcWAACAFwAAkBcAAJAXAACDFwAAkBcAAJMXAACGFwAAhBcAAIQXAACEFwAAhBYAAIcXAACFFgAAhRYAAJYXAACXFwAAlhcAAJgXAACYFwAAmBcAAIYWAAB8FgAAhxYAAJsXAACcFwAAihYAAIoWAACLFgAAfRYAAJEXAAB/FgAAnxcAAJ4XAACgFwAAoRcAAIIWAACTFwAAlhcAAJYXAACFFgAAlxcAAJEWAACRFgAAkhYAAIYWAAClFwAApRcAAKYXAACTFgAAixYAAJ0XAACeFwAAnhcAAIwWAACfFwAAqhcAAKsXAACOFgAAoBcAAJAWAACiFwAAnBYAAJ0WAACkFwAArRcAAKUXAACvFwAArxcAALAXAACxFwAAsRcAAKcXAACxFwAAlxYAAKgXAACqFwAAmRYAAJkWAACiFgAAoxYAAKIWAACsFwAAtxcAALgXAAC4FwAAuBcAAKQWAACeFgAApRYAALsXAAC8FwAAoBYAALIXAACyFwAAsxcAAKEWAAC0FwAAqhYAAKoWAACrFgAApBYAAKYWAAC8FwAAqBYAAL0XAADCFwAAwhcAAMIXAACvFgAAsBYAALEWAAC/FwAAxRcAAK0WAACyFgAAxxcAAMgXAADJFwAAyRcAAMEXAADKFwAAyRcAAMMXAADDFwAAwhcAAK8WAADCFwAAthYAALcWAADGFwAAzhcAANAXAADQFwAA0RcAALgWAADKFwAAtBYAAMwXAADTFwAAvRYAAL0WAADNFwAAtRYAAL4WAAC+FgAAvhYAALcWAADQFwAA1hcAANYXAADXFwAAuhYAAMQWAADTFwAAvBYAANQXAADUFwAAvxYAANUXAADBFgAAyBYAANsXAADbFwAAyRYAAMkWAADOFgAAzxYAANkXAADdFwAA2xcAAMoWAADKFgAA0BYAAOEXAADhFwAA0RYAANEWAADVFgAA1RYAAOMXAADWFgAA2RYAANoWAADeFwAA5RcAAOEXAADSFgAA0hYAANsWAADcFgAA2xYAAN0WAADcFgAA3hYAAN0WAADfFgAA3hYAAOAWAADfFgAA4RYAAOAWAADiFgAA4RYAAOMWAADiFgAA4xcAAOMXAADxFwAA5BcAAPIXAADYFgAA2BYAAOQWAADlFgAA5BYAAOYWAADlFgAA5xYAAOYWAADoFgAA5xYAAPcXAAD4FwAA6hYAAOsWAADmFwAA+RcAAOkWAADsFgAA7RYAAOwWAADuFgAA7RYAAO8WAADuFgAA8BYAAO8WAADxFgAA8BYAAPIWAADxFgAA8xYAAPIWAAD0FgAA8xYAAPUWAAD0FgAA9hYAAPUWAAD3FgAA9hYAAPgWAAD3FgAA+RYAAPgWAAAIGAAACRgAAPsWAAD8FgAA/RYAAPsWAAD6FwAADBgAAPoWAAD+FgAA/xYAAP4WAAAAFwAA/xYAAAEXAAAAFwAAAhcAAAEXAAADFwAAAhcAAAQXAAADFwAABRcAAAQXAAALGAAAFBgAAAgXAAAHFwAACRcAAAgXAAAKFwAACRcAAAsXAAAKFwAADBcAAAsXAAAaGAAAGxgAABAXAAAPFwAAERcAABAXAAASFwAAERcAABMXAAASFwAAIBgAACEYAAAWFwAAFRcAABcXAAAWFwAAGBcAABcXAAAZFwAAGBcAABoXAAAZFwAAGxcAABoXAAAcFwAAGxcAAB0XAAAcFwAAHhcAAB0XAAAfFwAAHhcAACAXAAAfFwAAFRgAAC0YAAANFwAAIRcAACIXAAAhFwAAIxcAACIXAAAxGAAAMRgAACQXAAAkFwAAKBcAACgXAAAzGAAAKRcAADUYAAA1GAAANRgAADcYAAAvFwAALhcAADAXAAAvFwAAMRcAADAXAAAyFwAAMRcAADMXAAAyFwAAPhgAAD4YAAA0FwAANBcAAD4YAAA1FwAAQBgAAEIYAABCGAAAQxgAADgXAAA3FwAAORcAADgXAAA6FwAAORcAADsXAAA6FwAAPBcAADsXAAA9FwAAPBcAAD4XAAA9FwAAHBgAAEoYAAAUFwAAPxcAAEAXAAA/FwAATBgAAE0YAABDFwAAQhcAACIYAABPGAAAMRgAACUXAAAlFwAARBcAAEUXAABEFwAARhcAAEUXAABHFwAARhcAAEgXAABHFwAASRcAAEgXAAAzGAAAMxgAAFcYAAA0GAAAWBgAACsXAAArFwAAShcAAFoYAABaGAAASxcAAEsXAABaGAAAXRgAAF0YAABeGAAAThcAAE0XAAA2GAAANhgAAF8YAAAtFwAAPhgAAEAYAABhGAAAQRgAAGIYAABCGAAAQRcAAE0YAABkGAAAZBgAAGQYAABRFwAAWhgAAFwYAABoGAAAXRgAAFAXAABSFwAAaRgAAGoYAABVFwAAVRcAAFQXAABRFwAAUxcAAGoYAABUFwAAaxgAAFYXAABsGAAAVxcAAG0YAABYFwAAbhgAAFkXAABvGAAAWhcAAHAYAABbFwAAcRgAAFwXAAByGAAAXRcAAHMYAABeFwAAdBgAAF8XAAB1GAAAeBgAAHgYAAB5GAAAfBgAAH4YAAB/GAAAYBcAAHYYAABhFwAAdxgAAGUXAABlFwAAZhcAAGgXAAB7GAAAaRcAAGgXAABoFwAAaBcAAIYYAACIGAAAiRgAAIoYAACKGAAAixgAAIoYAACNGAAAjRgAAI0YAABqFwAAYxcAAIMYAACRGAAAkRgAAJEYAABtFwAAaRcAAIUYAACFGAAAhxgAAJUYAACWGAAAixgAAJcYAACYGAAAlxgAAHMXAABzFwAAdBcAAGoXAACaGAAAmhgAAJAYAACaGAAAnRgAAJ4YAABtFwAAkRgAAHEXAACUGAAAlRgAAJcYAAChGAAAmBgAAHQXAACZGAAAdRcAAJsYAACbGAAAnBgAAKQYAAClGAAAdhcAAJ0YAAB4FwAAnxgAAKcYAACnGAAAqBgAAKoYAACrGAAArRgAAK8YAACvGAAArxgAAH4XAAB7FwAAoxgAAIEXAACBFwAAghcAAHwXAAC0GAAAtBgAAKYYAAC0GAAAtxgAAKkYAACnGAAApxgAAKcYAACIFwAAqhgAAIoXAACsGAAArBgAAKwYAACuGAAAuxgAALwYAAB+FwAArxgAAL0YAAC9GAAAshgAAL0YAACCFwAAsxgAAIMXAAC1GAAAtRgAALYYAADCGAAAuRgAALcYAAC3GAAAtxgAAIYXAACLFwAAuhgAAJkXAACZFwAAmhcAAIwXAACNFwAAvhgAAL4YAAC/GAAAjxcAAMAYAADJGAAAyRgAAMkYAACfFwAAwhgAAMwYAADMGAAAzRgAAKMXAACiFwAAxRgAAM8YAADQGAAA0BgAANAYAACkFwAAnBcAAMcYAADUGAAA1BgAAMgYAADUGAAAqRcAAKkXAACoFwAAnxcAANgYAADYGAAAzRgAANkYAADYGAAA2xgAANoYAADdGAAA3RgAAKwXAACtFwAArRcAAK4XAACkFwAAphcAAK8XAADfGAAA4BgAAKcXAADVGAAA1RgAANYYAADiGAAA4hgAAOIYAAC0FwAAqxcAALYXAADbGAAAtxcAAN0YAACsFwAAuRcAALoXAADeGAAA5RgAAOcYAADnGAAA6BgAALsXAADpGAAA6RgAAOEYAADqGAAA6RgAAOMYAADjGAAA4hgAALQXAADiGAAA7hgAAO4YAADuGAAAvxcAAOcYAADxGAAA8RgAAPIYAADqGAAAvRcAAOwYAAD0GAAAxBcAAMQXAADtGAAAvhcAAMUXAADFFwAAxhcAAL8XAADAFwAAxxcAAPYYAAD3GAAAwRcAAMsXAAD0GAAAwxcAAM4XAADPFwAA9RgAAPgYAADIFwAA9xgAAPsYAAD7GAAA+xgAANUXAADRFwAA1hcAAP4YAAD/GAAA2BcAANgXAADZFwAA1RcAANcXAADaFwAAARkAAAIZAADdFwAA3hcAAAAZAAADGQAA3BcAAN8XAADgFwAA3xcAAAYZAAAHGQAA5RcAAOYXAAAEGQAACBkAAOIXAADnFwAA6BcAAOcXAADpFwAA6BcAAOoXAADpFwAA6xcAAOoXAADsFwAA6xcAAO0XAADsFwAA7hcAAO0XAADvFwAA7hcAAPAXAADvFwAA8RcAAPAXAADyFwAA8RcAAPMXAADyFwAA9BcAAPMXAAD1FwAA9BcAAPYXAAD1FwAAGhkAABoZAAD3FwAA9xcAAPkXAAD6FwAACRkAABwZAAAaGQAA+BcAAPgXAAD7FwAA/BcAAPsXAAD9FwAA/BcAAP4XAAD9FwAA/xcAAP4XAAAAGAAA/xcAAAEYAAAAGAAAAhgAAAEYAAADGAAAAhgAAAQYAAADGAAABRgAAAQYAAAGGAAABRgAAAcYAAAGGAAACBgAAAcYAAAsGQAALRkAAC4ZAAAuGQAALhkAAC8ZAAAMGAAAChgAAB0ZAAAyGQAACRgAAA0YAAAOGAAADRgAAA8YAAAOGAAAEBgAAA8YAAARGAAAEBgAABIYAAARGAAAExgAABIYAAAwGQAAMBkAADkZAAALGAAAFhgAABUYAAAXGAAAFhgAABgYAAAXGAAAGRgAABgYAAAaGAAAGRgAAD8ZAABAGQAAQRkAAEEZAABBGQAAQxkAAB4YAAAdGAAAHxgAAB4YAAAgGAAAHxgAAEcZAABIGQAAIxgAACIYAAAkGAAAIxgAACUYAAAkGAAAJhgAACUYAAAnGAAAJhgAACgYAAAnGAAAKRgAACgYAAAqGAAAKRgAACsYAAAqGAAALBgAACsYAAAtGAAALBgAADoZAABUGQAAGxgAAC4YAAAvGAAALhgAADAYAAAvGAAAVxkAAFgZAAA3GAAANhgAADgYAAA3GAAAORgAADgYAAA6GAAAORgAADsYAAA6GAAAPBgAADsYAABgGQAAYBkAAD0YAAA9GAAAQxgAAEIYAABEGAAAQxgAAEUYAABEGAAARhgAAEUYAABHGAAARhgAAEgYAABHGAAASRgAAEgYAABCGQAAQhkAAGkZAAAcGAAAIRgAAEsYAABrGQAAaxkAAEwYAABMGAAATxgAAE4YAABJGQAAbhkAADIYAABQGAAAURgAAFAYAABSGAAAURgAAFMYAABSGAAAVBgAAFMYAABVGAAAVBgAAFYYAABVGAAAVxgAAFYYAAB3GQAAdxkAAFgYAABYGAAAdxkAAFkYAABeGAAAXRgAAF8YAABeGAAAWRkAAHwZAABgGQAAPxgAAD8YAABgGAAAYRgAAGAYAABiGAAAYRgAAGIZAACAGQAAaxkAAIEZAACBGQAAghkAAGYYAABlGAAAbRkAAIQZAAB3GQAAhRkAAIUZAAB3GQAAWxgAAFsYAABbGAAAiBkAAGgYAABnGAAAehkAAIoZAACLGQAAixkAAIwZAABpGAAAZRgAAIMZAACHGQAAiRkAAIsZAACPGQAAjxkAAJAZAABrGAAAjRkAAGwYAACQGQAAbRgAAJEZAABuGAAAkhkAAG8YAACTGQAAlhkAAJcZAABwGAAAlBkAAHEYAACVGQAAnBkAAJgZAACYGQAAlhkAAKAZAACgGQAAoRkAAKAZAAByGAAAmhkAAHMYAACbGQAApRkAAKYZAACfGQAApxkAAKEZAACoGQAAqRkAAKgZAACqGQAAqhkAAKoZAAB2GAAAdRgAAKQZAACuGQAAphkAAKUZAAClGQAApRkAAHwYAACnGQAAfRgAAH0YAACxGQAAshkAALEZAAB/GAAAfxgAALQZAAC1GQAAdhgAAKoZAAB3GAAArRkAALcZAAC4GQAAehgAAK4ZAAB9GAAAsRkAALEZAACyGQAAsxkAAIAYAACBGAAAgRgAALMZAACKGAAAjhgAAI4YAACPGAAAghgAAL0ZAAC9GQAAthkAAL0ZAACSGAAAkhgAAJMYAACEGAAAhxgAALkZAAC6GQAAiRgAALsZAADDGQAAjBgAALsZAADEGQAAxRkAAI8YAAC8GQAAkBgAAL4ZAAC+GQAAvxkAAJMYAADAGQAAlBgAAMEZAACWGAAAoRgAAMMZAACYGAAAzBkAAMYZAADGGQAAxBkAANAZAADQGQAA0RkAANAZAADTGQAA0xkAANMZAACiGAAAnBgAAMkZAACeGAAAyhkAAJ8YAADLGQAA2RkAAM4ZAADMGQAAzBkAAMwZAACrGAAAzxkAAK0YAADRGQAA0RkAANEZAADSGQAAsBgAALAYAACxGAAAohgAAN4ZAADeGQAA1hkAAN4ZAAClGAAA1xkAAOIZAADiGQAA4xkAALQYAAC4GAAAuBgAALkYAACpGAAA5RkAAOUZAADlGQAAuhgAAOgZAADoGQAA6BkAALwYAACyGAAA3xkAAN8ZAADgGQAA7BkAAOwZAADhGQAA7BkAAO8ZAADwGQAAthgAAOIZAADDGAAAwxgAAMMYAAC5GAAA8xkAAOYZAADmGQAA5RkAALoYAADlGQAA9xkAAPgZAAC8GAAA6BkAAL8YAADrGQAA7RkAAMAYAAD7GQAA+hkAAPwZAADwGQAA7xkAAO8ZAADvGQAAwRgAAMQYAADNGAAAzBgAAMwYAADMGAAAABoAAP8ZAAD0GQAA9BkAAPMZAADPGAAAzxgAAPYZAADFGAAABBoAAPgZAAD3GQAA9xkAAPcZAADGGAAABxoAAAcaAAD5GQAABxoAAMgYAADWGAAA1BgAANQYAADUGAAACxoAAAoaAAD9GQAA/RkAAPwZAADKGAAA/BkAAM0YAADaGAAAAhoAANwYAAADGgAAzhgAAA8aAAAQGgAA0hgAAAQaAADTGAAACBoAAAgaAAAJGgAACxoAANYYAAANGgAAExoAAOQYAADkGAAADhoAANcYAAAUGgAAEBoAAA8aAAAPGgAADxoAAN4YAADgGAAAERoAAOEYAADrGAAAExoAAOMYAADvGAAA7xgAAPAYAADmGAAA6BgAAPEYAAAZGgAAGhoAABsaAAAbGgAAGxoAAPUYAADyGAAA9hgAAB4aAAAfGgAA+BgAAPgYAAD5GAAA9RgAAPcYAAAfGgAA/BgAAP0YAAAgGgAAIhoAAPoYAAD+GAAAJBoAACUaAAAmGgAAJhoAACYaAAAAGQAA/xgAAAEZAAApGgAAKhoAAAMZAAADGQAABBkAAAAZAAACGQAABRkAAAYZAAAFGQAABxkAAAcZAAAGGQAALxoAAAgZAAAJGQAAKxoAADEaAAAHGQAALhoAAC4aAAAKGQAADBkAAAsZAAANGQAADBkAAA4ZAAANGQAADxkAAA4ZAAAQGQAADxkAABEZAAAQGQAAEhkAABEZAAATGQAAEhkAABQZAAATGQAAFRkAABQZAAAWGQAAFRkAABcZAAAWGQAAGBkAABcZAAAZGQAAGBkAABsZAAAbGQAAGRkAAEMaAABFGgAARRoAAEUaAABGGgAAMhoAAEgaAAAbGQAAQhoAAEIaAAAeGQAAIBkAAB8ZAAAhGQAAIBkAACIZAAAhGQAAIxkAACIZAAAkGQAAIxkAACUZAAAkGQAAJhkAACUZAAAnGQAAJhkAACgZAAAnGQAAKRkAACgZAAAqGQAAKRkAACsZAAAqGQAALBkAACsZAABWGgAAVxoAAFgaAABYGgAAWBoAAFkaAAAxGQAALxkAAEcaAABHGgAAXBoAAB0ZAAAtGQAAMxkAADQZAAAzGQAANRkAADQZAAA2GQAANRkAADcZAAA2GQAAOBkAADcZAABaGgAAWhoAAGIaAAAwGQAAOxkAADoZAAA8GQAAOxkAAD0ZAAA8GQAAPhkAAD0ZAAA/GQAAPhkAAGgaAABpGgAAQxkAAEIZAABEGQAAQxkAAEUZAABEGQAARhkAAEUZAABvGgAAbxoAAEcZAABHGQAAShkAAEkZAABLGQAAShkAAEwZAABLGQAATRkAAEwZAABOGQAATRkAAE8ZAABOGQAAUBkAAE8ZAABRGQAAUBkAAFIZAABRGQAAUxkAAFIZAABUGQAAUxkAAGMaAAB8GgAAQBkAAFUZAABWGQAAVRkAAFcZAABWGQAAfxoAAIAaAABaGQAAWRkAAFsZAABaGQAAXBkAAFsZAABdGQAAXBkAAF4ZAABdGQAAhxoAAIcaAABfGQAAXxkAAIkaAACJGgAAiRoAAIsaAABkGQAAYxkAAGUZAABkGQAAZhkAAGUZAABnGQAAZhkAAGgZAABnGQAAaRkAAGgZAABqGgAAkhoAAG8aAABIGQAASBkAAGoZAACUGgAAlRoAAG4ZAABtGQAAcRoAAJcaAABYGQAAbxkAAHAZAABvGQAAcRkAAHAZAAByGQAAcRkAAHMZAAByGQAAdBkAAHMZAAB1GQAAdBkAAJ8aAACfGgAAdhkAAHYZAAChGgAAoRoAAKEaAACjGgAAfBkAAHsZAACBGgAApRoAAIcaAABhGQAAYRkAAH0ZAAB+GQAAfRkAAH8ZAAB+GQAAihoAAIoaAACpGgAAYhkAAGwZAACBGQAAqhoAAKsaAACEGQAAgxkAAJYaAACtGgAAnxoAAK8aAACFGQAAhRkAAIUZAACFGQAAiBkAAIkZAACiGgAAohoAALIaAAB6GQAAghkAAKsaAACDGQAArBoAAK8aAACGGQAAhhkAAI4ZAACxGgAAthoAALcaAAC3GgAAuBoAAI8ZAACNGQAAtBoAALoaAAC7GgAAvhoAAL8aAACQGQAAtxoAAJEZAAC5GgAAwRoAALwaAAC8GgAAuhoAAMUaAADFGgAAxhoAAMUaAADIGgAAyRoAAJIZAAC+GgAAkxkAAMAaAADLGgAAzBoAAJcZAACXGQAAxBoAAJkZAACZGQAAzRoAAM4aAADNGgAAzxoAANAaAACUGQAAyBoAAJUZAADKGgAA0hoAAMwaAADLGgAAyxoAAMsaAACYGQAAmRkAAM0aAADNGgAAzhoAANYaAADXGgAAmhkAAM8aAACbGQAA0RoAANkaAADaGgAAnhkAANIaAACiGQAA1RoAAKsZAACrGQAArBkAAKMZAACkGQAA2BoAAK8ZAACvGQAAsBkAAKYZAACpGQAA2xoAAKwZAADcGgAA4RoAAOEaAADdGgAA4RoAALAZAADeGgAAshkAAN8aAADmGgAA5hoAAOYaAAC8GQAAthkAAOIaAADiGgAA4xoAALgZAADkGgAAuRkAAOUaAADsGgAA7BoAAOwaAADtGgAA7xoAAPAaAADxGgAA8hoAALwZAADmGgAAvxkAAOkaAADAGQAA6hoAAMEZAADrGgAAzRkAAM0ZAADOGQAAxhkAAPcaAADQGQAA0BkAANAZAAD3GgAA0BkAAPsaAADyGgAA8RoAAPEaAADxGgAAyBkAAP4aAAD+GgAA8xoAAP4aAAABGwAAARsAAPQaAAABGwAAyxkAAPUaAADaGQAABhsAAAYbAAAGGwAABRsAAPkaAAD5GgAA+BoAAPoaAAAJGwAA0hkAAPoaAAAKGwAACxsAANUZAAD7GgAA1hkAAP8aAAD/GgAAABsAAAIbAADXGQAADhsAAA0bAAAPGwAADxsAAA8bAADjGQAABRsAANsZAAAHGwAAExsAAAgbAAAUGwAA5xkAAOcZAAAJGwAA3BkAAOkZAADpGQAA6hkAAN0ZAADgGQAADBsAAOEZAADuGQAA7BkAAOwZAADsGQAAGBsAABcbAAAQGwAAEBsAAA8bAADjGQAADxsAABIbAADkGQAAExsAAB0bAAD1GQAA9RkAABQbAADmGQAAHhsAAB4bAAAeGwAA+BkAACEbAAAhGwAAFhsAACEbAAAYGwAA7hkAABobAAAlGwAA/hkAAP4ZAAAbGwAA8BkAAPIZAAABGgAAHRsAAPQZAAAFGgAABRoAAAYaAAD4GQAA+RkAACIbAAAiGwAAIxsAAPsZAAAMGgAAJRsAAP0ZAAAoGwAAKBsAACgbAAAQGgAACRoAACcbAAAVGgAAFRoAABYaAAAQGgAALRsAAC0bAAArGwAALRsAADAbAAAwGwAAMBsAABgaAAAXGgAALhsAAC4bAAAvGwAANBsAADIbAAAwGwAAMBsAADAbAAAYGgAAGhoAAB4aAAA3GwAAOBsAADkbAAA6GwAAHRoAADQbAAAfGgAAOBsAADwbAAA6GwAAORsAADkbAAA5GwAAIBoAACEaAAAkGgAAPxsAAEAbAAAnGgAAJxoAACgaAAAjGgAAJRoAACkaAAAqGgAAKhoAACkaAABEGwAARhsAAEYbAABGGwAAKxoAACoaAABDGwAAQxsAACwaAAAvGgAALRoAAEobAABLGwAATBsAAEgbAABGGwAARhsAAEYbAAArGgAAMBoAADMaAAA0GgAAMxoAADUaAAA0GgAANhoAADUaAAA3GgAANhoAADgaAAA3GgAAORoAADgaAAA6GgAAORoAADsaAAA6GgAAPBoAADsaAAA9GgAAPBoAAD4aAAA9GgAAPxoAAD4aAABAGgAAPxoAAEEaAABAGgAAQxoAAEEaAABEGgAARBoAAEMaAABgGwAAYhsAAGIbAABiGwAAYxsAAE4bAABOGwAAZRsAADIaAABEGgAAXxsAAF8bAABJGgAASxoAAEoaAABMGgAASxoAAE0aAABMGgAAThoAAE0aAABPGgAAThoAAFAaAABPGgAAURoAAFAaAABSGgAAURoAAFMaAABSGgAAVBoAAFMaAABVGgAAVBoAAFYaAABVGgAAchsAAHMbAABZGgAAWhoAAFsaAABZGgAAZBsAAGQbAAB2GwAARxoAAFcaAABdGgAAXhoAAF0aAABfGgAAXhoAAGAaAABfGgAAYRoAAGAaAABiGgAAYRoAAHUbAAB8GwAAZBoAAH4bAAB+GwAAfxsAAGYaAABlGgAAgRsAAIEbAABnGgAAZxoAAIEbAABoGgAAaxoAAGoaAABsGgAAaxoAAG0aAABsGgAAbhoAAG0aAACIGwAAiRsAAHIaAABxGgAAcxoAAHIaAAB0GgAAcxoAAHUaAAB0GgAAdhoAAHUaAAB3GgAAdhoAAHgaAAB3GgAAeRoAAHgaAAB6GgAAeRoAAHsaAAB6GgAAfBoAAHsaAAB9GwAAfRsAAJYbAAB+GwAAgRsAAIMbAACYGwAAaRoAAGkaAAB9GgAAfhoAAH0aAAB/GgAAfhoAAJsbAACcGwAAnRsAAJ0bAACdGwAAnxsAAIMaAACCGgAAhBoAAIMaAACFGgAAhBoAAIYaAACFGgAApBsAAKUbAACLGgAAihoAAIwaAACLGgAAjRoAAIwaAACOGgAAjRoAAI8aAACOGgAAkBoAAI8aAACRGgAAkBoAAJIaAACRGgAAhBsAAK4bAABwGgAAkxoAAJQaAACTGgAAsBsAALEbAACXGgAAlhoAAIobAACzGwAAgBoAAJgaAACZGgAAmBoAAJoaAACZGgAAmxoAAJoaAACcGgAAmxoAAJ0aAACcGgAAnhoAAJ0aAAC6GwAAuxsAAKMaAACiGgAApBoAAKMaAACeGwAAnhsAAL4bAACBGgAAiBoAAKYaAACnGgAAphoAAKgaAACnGgAAqRoAAKgaAACmGwAAwhsAAJUaAACqGgAAwxsAAMQbAACtGgAArBoAALIbAADGGwAAoBoAAK4aAACwGgAAsBoAAK4aAADJGwAAyBsAAMsbAADLGwAAyhsAALwbAADMGwAAqxoAAMQbAACsGgAAxRsAAM8bAADPGwAA0BsAANMbAACwGgAAthoAAMsbAACxGgAAsxoAAM0bAAC0GgAAzhsAANcbAADYGwAAuxoAALsaAADSGwAAvRoAALsaAAC7GgAAuxoAANobAAC4GgAA1RsAALkaAADWGwAA3hsAANgbAADXGwAA1xsAANcbAAC8GgAAvRoAANkbAADZGwAA2xsAAOIbAADjGwAAvxoAANwbAADAGgAA3RsAAOgbAADpGwAAwxoAAN4bAADHGgAA4RsAAOsbAADkGwAA5BsAAOIbAADvGwAA7hsAAMkaAADmGwAAyhoAAOcbAADTGgAA0xoAANQaAADMGgAAzhoAAOobAAD0GwAA9RsAAO4bAAD2GwAA9xsAAPYbAADQGgAA8BsAAPkbAAD5GwAA8RsAAPkbAADUGgAA8hsAANUaAADzGwAA/hsAAPUbAAD1GwAA9BsAAPYbAAACHAAAAxwAAAIcAADXGgAA+BsAAPobAADYGgAABhwAAAUcAADaGgAA/BsAANsaAAD9GwAACRwAAAocAAABHAAACxwAAAwcAAAMHAAACxwAAAMcAAAOHAAADhwAAA4cAADgGgAA3RoAAAUcAAAFHAAABhwAAN4aAAAHHAAA3xoAAAgcAAAJHAAACxwAABUcAAAMHAAA5xoAAOcaAADoGgAA4BoAAOMaAAARHAAA5BoAABIcAADlGgAAExwAAO0aAADtGgAAGhwAAO8aAAAcHAAAHBwAABwcAADyGgAAHxwAAB8cAAAXHAAAHxwAACIcAAAiHAAAGBwAACIcAAAlHAAAJRwAACUcAAD1GgAAGhwAAO4aAAD3GgAA9xoAABscAADwGgAA/BoAAPwaAAD9GgAA8hoAAPMaAAAgHAAAIBwAACEcAAD0GgAAAxsAAAEbAAABGwAAARsAACwcAAArHAAAJhwAACYcAAAlHAAA9RoAACUcAAD2GgAA+RoAADAcAAAwHAAAMBwAAAsbAAAAGwAAKhwAACwcAAADGwAALhwAADUcAAARGwAAERsAAC8cAAAEGwAANhwAADccAAALGwAAMBwAADgcAAA4HAAAMxwAADgcAAAOGwAAGRsAADUcAAAQGwAAOxwAADccAAA2HAAANhwAADYcAAAVGwAAFhsAADkcAAA5HAAAOhwAAD8cAABAHAAAIBsAADscAAAjGwAAPhwAAEIcAABAHAAAPxwAAD8cAAA/HAAAJhsAAEUcAABFHAAAQRwAAEUcAABIHAAASRwAACobAABCHAAAKxsAAEYcAABGHAAARxwAAEscAABJHAAASBwAAEgcAABIHAAALBsAAE4cAABOHAAAShwAAE4cAAA1GwAANRsAADYbAAAyGwAAMxsAAE8cAABPHAAAUBwAAFMcAABTHAAAUxwAADobAABWHAAAVhwAAFIcAABWHAAAPRsAAD0bAAA+GwAAOhsAADsbAABAGwAAPxsAAD8bAAA/GwAAWxwAAF0cAABdHAAAXRwAAEEbAABAGwAAWhwAAFocAABCGwAAYBwAAGEcAABiHAAAXxwAAF0cAABdHAAAXRwAAEEbAABFGwAASRsAAEobAABJGwAAZhwAAGccAABoHAAAZBwAAGIcAABiHAAAYhwAAEgbAABLGwAATxsAAFAbAABPGwAAURsAAFAbAABSGwAAURsAAFMbAABSGwAAVBsAAFMbAABVGwAAVBsAAFYbAABVGwAAVxsAAFYbAABYGwAAVxsAAFkbAABYGwAAWhsAAFkbAABbGwAAWhsAAFwbAABbGwAAXRsAAFwbAABeGwAAXRsAAGAbAABeGwAAYRsAAGEbAABgGwAAfRwAAGMbAABkGwAAahwAAGocAAB/HAAAThsAAGEbAAB8HAAAfBwAAGYbAABoGwAAZxsAAGkbAABoGwAAahsAAGkbAABrGwAAahsAAGwbAABrGwAAbRsAAGwbAABuGwAAbRsAAG8bAABuGwAAcBsAAG8bAABxGwAAcBsAAHIbAABxGwAAcxsAAHMbAAByGwAAjhwAAJAcAACQHAAAkBwAAJEcAAB2GwAAdBsAAIAcAACUHAAAcxsAAI0cAACNHAAAdxsAAHkbAAB4GwAAehsAAHkbAAB7GwAAehsAAJIcAACSHAAAmBwAAHUbAAB/GwAAfxsAAJkcAACAGwAAmxwAAJscAACdHAAAnxwAAJ4cAAChHAAAoRwAAKAcAACGGwAAhRsAAIcbAACGGwAAiBsAAIcbAAClHAAAphwAAIsbAACKGwAAjBsAAIsbAACNGwAAjBsAAI4bAACNGwAAjxsAAI4bAACQGwAAjxsAAJEbAACQGwAAkhsAAJEbAACTGwAAkhsAAJQbAACTGwAAlRsAAJQbAACWGwAAlRsAAJkcAACZHAAAtBwAAJocAAC1HAAAghsAAIIbAACXGwAAmBsAAJcbAACZGwAAmBsAAJobAACZGwAAuhwAALocAACbGwAAmxsAALwcAAC8HAAAvBwAAL4cAACgGwAAnxsAAKEbAACgGwAAohsAAKEbAACjGwAAohsAAMQcAADEHAAApBsAAKQbAADGHAAAxhwAAMYcAADIHAAAqBsAAKcbAACpGwAAqBsAAKobAACpGwAAqxsAAKobAACcHAAAnBwAAM0cAACtGwAAnxwAAK4bAAChHAAAhBsAAIkbAACvGwAAsBsAAK8bAADPHAAA0BwAALMbAACyGwAApxwAANIcAAC6HAAAnBsAAJwbAAC0GwAAtRsAALQbAAC2GwAAtRsAALcbAAC2GwAAuBsAALcbAAC5GwAAuBsAALobAAC5GwAA2hwAANscAADcHAAA3BwAANwcAADeHAAAvRwAAL0cAADfHAAAnhsAAMQcAAClGwAApRsAAL8bAADAGwAAvxsAAMEbAADAGwAAxxwAAMccAADjHAAAphsAALEbAADDGwAA5BwAAOUcAADGGwAAxRsAANEcAADnHAAA6BwAAOgcAADpHAAA7BwAALsbAADHGwAAyBsAAMcbAADKGwAAyBsAAN0cAADdHAAA8BwAALwbAADEGwAA5RwAAMUbAADmHAAA8xwAAOocAADoHAAA6BwAAOgcAADTGwAA6xwAANQbAADTGwAA0xsAANMbAAD3HAAAzRsAAPEcAADOGwAA8hwAAPscAAD8HAAA0RsAAPMcAADUGwAA9hwAAPYcAAD4HAAA/hwAAP8cAADVGwAA+RwAANYbAAD6HAAA3xsAAN8bAADgGwAA2BsAANsbAAD9HAAABh0AAAAdAAD+HAAA/hwAAP4cAAD+HAAA/hwAAAEdAADcGwAAAh0AAAsdAAALHQAAAx0AAAsdAADgGwAABB0AAOEbAAAFHQAAEB0AAAgdAAAGHQAABh0AAAYdAADkGwAA5RsAAAkdAADmGwAACh0AAAwdAADnGwAAFh0AABUdAADpGwAADh0AAOobAAAPHQAAGR0AABodAADtGwAAEB0AAO8bAAATHQAAHB0AABwdAAAcHQAA+BsAAPEbAAAVHQAAFR0AABYdAADyGwAAFx0AAPMbAAAYHQAA/xsAAP8bAAAAHAAA9RsAAPcbAAAbHQAAJB0AACUdAAD4GwAAHB0AAPsbAAAfHQAA/BsAACAdAAD9GwAAIR0AACkdAAApHQAAIh0AACodAAApHQAALB0AACwdAAArHQAAIx0AAC0dAAAuHQAAJR0AACQdAAAkHQAAJB0AAAQcAAAxHQAAMR0AACYdAAAxHQAABxwAACcdAAA1HQAANR0AADUdAAATHAAAChwAABUcAAAsHQAADBwAADgdAAA5HQAAEBwAAC4dAAAyHQAAERwAADsdAAA6HQAAPB0AADwdAAA0HQAAPR0AADwdAAA/HQAAPh0AADYdAAA2HQAANR0AABMcAAA1HQAAQx0AADkdAAA4HQAAOB0AADgdAAAWHAAAFxwAADodAAA6HQAAOx0AABgcAAAkHAAAJBwAAEcdAABBHQAASB0AACccAAAnHAAAQh0AABkcAABJHQAASh0AAB4cAABDHQAASx0AAEsdAABGHQAASx0AACQcAAAtHAAASB0AACYcAABOHQAASh0AAEkdAABJHQAASR0AACkcAABMHQAAKhwAAFIdAABRHQAAUx0AAFQdAAAyHAAATh0AADMcAABRHQAAUR0AAFIdAABWHQAAVB0AAFMdAABTHQAAUx0AADccAABZHQAAWR0AAFUdAABZHQAAXB0AAF0dAAA9HAAAVh0AAFodAAA+HAAAXx0AAF4dAABgHQAAXR0AAFwdAABcHQAAXB0AAEAcAABBHAAAXh0AAF4dAABfHQAAZB0AAGUdAABEHAAAYB0AAGYdAABmHQAAYx0AAGYdAABpHQAAZR0AAGQdAABkHQAAZB0AAEkcAABKHAAAZx0AAGcdAABoHQAAbR0AAG4dAABNHAAAaR0AAFAcAABsHQAAcB0AAG4dAABtHQAAbR0AAG0dAABRHAAAUhwAAFYcAABzHQAAdB0AAHUdAAB2HQAAVRwAAHAdAABYHAAAWxwAAHcdAAB4HQAAeR0AAHYdAAB1HQAAdR0AAHUdAABZHAAAXBwAAGAcAAB8HQAAfR0AAGMcAABjHAAAZBwAAF8cAABhHAAAZRwAAGYcAABlHAAAZxwAAGccAABmHAAAgh0AAGkcAABqHAAAfh0AAIQdAABnHAAAgR0AAIEdAABrHAAAbRwAAGwcAABuHAAAbRwAAG8cAABuHAAAcBwAAG8cAABxHAAAcBwAAHIcAABxHAAAcxwAAHIcAAB0HAAAcxwAAHUcAAB0HAAAdhwAAHUcAAB3HAAAdhwAAHgcAAB3HAAAeRwAAHgcAAB6HAAAeRwAAHscAAB6HAAAfRwAAHscAAB+HAAAfhwAAH0cAACYHQAAmh0AAJodAACaHQAAmx0AAIUdAACdHQAAfhwAAJcdAACXHQAAgRwAAIMcAACCHAAAhBwAAIMcAACFHAAAhBwAAIYcAACFHAAAhxwAAIYcAACIHAAAhxwAAIkcAACIHAAAihwAAIkcAACLHAAAihwAAIwcAACLHAAAjhwAAIwcAACPHAAAjxwAAI4cAACrHQAArR0AAK0dAACuHQAAsB0AALAdAACxHQAAkxwAAJEcAACcHQAAnB0AALMdAACAHAAAjxwAAKodAACqHQAAlRwAAK8dAACvHQAAtB0AAJgcAACwHQAAkhwAALUdAAC1HQAAtx0AALkdAAC5HQAAuB0AAJ4cAACdHAAAoBwAAJ4cAACiHAAAoBwAAKMcAACiHAAApBwAAKMcAAClHAAApBwAAMAdAADBHQAAqBwAAKccAACpHAAAqBwAAKocAACpHAAAqxwAAKocAACsHAAAqxwAAK0cAACsHAAArhwAAK0cAACvHAAArhwAALAcAACvHAAAsRwAALAcAACyHAAAsRwAALMcAACyHAAAtBwAALMcAAC1HAAAtBwAALYcAAC1HAAAtxwAALYcAADTHQAA0x0AALgcAAC4HAAA0x0AALkcAADWHQAA1h0AANYdAADYHQAAvxwAAL4cAADAHAAAvxwAAMEcAADAHAAAwhwAAMEcAADDHAAAwhwAAN4dAADfHQAA4B0AAOAdAADgHQAA4h0AAMkcAADIHAAAyhwAAMkcAADLHAAAyhwAALYdAAC2HQAA5h0AAM0cAAC5HQAAnBwAAKYcAADOHAAA6B0AAOgdAADPHAAAzxwAANIcAADRHAAAwh0AAOsdAADsHQAA7R0AANUdAADuHQAAuxwAALscAADVHQAA8B0AAPAdAADxHQAA1RwAANQcAADWHAAA1RwAANccAADWHAAA2BwAANccAADZHAAA2BwAANocAADZHAAA2xwAANscAADaHAAA+R0AAPgdAAD7HQAA+h0AAP0dAAD9HQAA/B0AANcdAADXHQAA/h0AAL0cAADFHAAA4BwAAOEcAADgHAAA4hwAAOEcAADhHQAA4R0AAAEeAADHHAAA6B0AAAMeAADkHAAA5BwAAOQcAADkHAAA5xwAAOYcAADqHQAABh4AAAceAAAIHgAA6RwAAOkcAADuHQAA7BwAAO8dAADvHQAA7x0AAPAdAADbHAAA7xwAAPsdAADwHAAA/R0AAN0cAAADHgAACh4AAAoeAAALHgAA5hwAAAUeAAANHgAACB4AAAceAAAHHgAABx4AAOocAADtHAAA9xwAABAeAAARHgAA8RwAAAseAADyHAAADB4AABQeAAAVHgAA9RwAAA0eAAD4HAAAER4AAP8cAAD/HAAA+RwAABIeAAAZHgAAGR4AABMeAAAZHgAAHB4AAB0eAAD8HAAAFB4AAP0cAAAWHgAABx0AAAgdAAAAHQAAAB0AAAAdAAAiHgAAAR0AABceAAACHQAAGB4AAAMdAAAaHgAAGh4AABseAAAcHgAAJR4AACUeAAAmHgAABR0AAB4eAAARHQAAEh0AACAeAAAoHgAAKh4AACseAAAJHQAAIR4AACweAAAsHgAALB4AABQdAAANHQAAJB4AAA4dAAAmHgAADx0AACceAAASHQAAKR4AADMeAAA0HgAAEx0AACoeAAAdHQAAHR0AAB4dAAAUHQAANh4AADYeAAAvHgAANh4AABcdAAAwHgAAOh4AADoeAAA6HgAAIR0AABodAAAyHgAAPh4AADQeAAA0HgAAMx4AABsdAAAzHgAAQh4AAEIeAABCHgAAJR0AADceAAAfHQAARh4AAEUeAABHHgAARx4AADkeAABIHgAARx4AAEoeAABJHgAAOx4AADseAAA6HgAAIR0AADoeAAAiHQAAKR0AAD8eAAA/HgAATh4AAC0dAABBHgAAIx0AAC8dAAAvHQAAMB0AACUdAAAmHQAARR4AAEUeAABGHgAASB4AACcdAABKHgAAUh4AAEweAABTHgAANx0AADcdAABNHgAAKB0AAFQeAABUHgAAVB4AADkdAAAzHQAAUB4AADQdAAA+HQAAUh4AAEAdAABTHgAANh0AAEQdAABEHQAARR0AADkdAABZHgAAWR4AAFceAABZHgAAXB4AAFweAABcHgAASh0AAEYdAABaHgAAWh4AAFseAABPHQAATx0AAFAdAABKHQAATR0AAF8eAABiHgAAYh4AAGIeAABUHQAAZR4AAGUeAABhHgAAZR4AAFcdAABXHQAAWB0AAFQdAABVHQAAZh4AAGYeAABnHgAAah4AAGoeAABqHgAAXR0AAFsdAABpHgAAYR0AAGEdAABiHQAAXR0AAG8eAABvHgAAbR4AAG8eAAByHgAAch4AAHIeAABlHQAAYx0AAHAeAABwHgAAcR4AAGodAABqHQAAax0AAGUdAABoHQAAdR4AAHgeAAB4HgAAeB4AAG4dAAB7HgAAex4AAHceAAB7HgAAcR0AAHEdAAByHQAAbh0AAG8dAAB8HgAAfB4AAH0eAACAHgAAgB4AAIAeAAB2HQAAdB0AAHcdAACDHgAAhB4AAHodAAB6HQAAex0AAHYdAAB4HQAAfB0AAH0dAAB9HQAAfB0AAIgeAACKHgAAih4AAIoeAAB+HQAAfR0AAIceAACHHgAAfx0AAIIdAACAHQAAjh4AAI8eAACQHgAAjB4AAIoeAACKHgAAih4AAH4dAACDHQAAhh0AAIcdAACGHQAAiB0AAIcdAACJHQAAiB0AAIodAACJHQAAix0AAIodAACMHQAAix0AAI0dAACMHQAAjh0AAI0dAACPHQAAjh0AAJAdAACPHQAAkR0AAJAdAACSHQAAkR0AAJMdAACSHQAAlB0AAJMdAACVHQAAlB0AAJYdAACVHQAAmB0AAJYdAACkHgAApR4AAJsdAACcHQAAkh4AAJIeAACmHgAAhR0AAJkdAACeHQAAnx0AAJ4dAACgHQAAnx0AAKEdAACgHQAAoh0AAKEdAACjHQAAoh0AAKQdAACjHQAApR0AAKQdAACmHQAApR0AAKcdAACmHQAAqB0AAKcdAACpHQAAqB0AAKsdAACpHQAArB0AAKwdAACrHQAAtR4AALUeAAC2HgAAsR0AAK4dAACyHQAAsR0AALMdAACyHQAApx4AALoeAACsHQAArx0AALseAAC7HgAAux4AAL0eAAC4HQAAtx0AALodAAC4HQAAux0AALodAAC8HQAAux0AAL0dAAC8HQAAvh0AAL0dAAC/HQAAvh0AAMAdAAC/HQAAxh4AAMceAADDHQAAwh0AAMQdAADDHQAAxR0AAMQdAADGHQAAxR0AAMcdAADGHQAAyB0AAMcdAADJHQAAyB0AAModAADJHQAAyx0AAModAADMHQAAyx0AAM0dAADMHQAAzh0AAM0dAADPHQAAzh0AANAdAADPHQAA0R0AANAdAADYHgAA2B4AANIdAADSHQAA2h4AANoeAADcHgAA3R4AAOAeAADgHgAA4B4AAOIeAADZHQAA2B0AANodAADZHQAA2x0AANodAADcHQAA2x0AAN0dAADcHQAA3h0AAN0dAADpHgAA6h4AAOIdAADhHQAA4x0AAOIdAADkHQAA4x0AAOUdAADkHQAAvB4AALweAADvHgAAth0AAMEdAADnHQAA8B4AAPEeAADrHQAA6h0AAMgeAADzHgAA9B4AAPUeAADUHQAA2B4AAPEdAADwHQAA8h0AAPEdAADbHgAA2x4AAPgeAAD0HQAA3h4AAN4eAADeHgAA9B0AAPYdAAD1HQAA9x0AAPYdAAD4HQAA9x0AAPodAAD4HQAA/B0AAPodAADhHgAA4R4AAP4eAADXHQAA3x0AAP8dAAAAHgAA/x0AAAEeAAAAHgAA6x4AAAEfAADpHQAAAh4AAAIfAAADHwAABh4AAAYeAAAGHgAA6h0AAAYfAAAHHwAA7R0AAPQeAADwHQAA9h4AAAkfAAAJHwAACh8AAAoeAAAEHwAABR4AAAwfAAALHwAADh4AAA4eAAAPHgAACB4AAA4fAAAOHwAADx8AABAeAAAQHwAAER8AAAseAAAJHwAACx8AAAweAAATHwAAEh8AAA8eAAANHwAAFR8AABYfAAARHgAADh8AABcfAAAYHwAAEh4AABAfAAATHgAAEh8AABIfAAATHwAAFR4AABQfAAAbHwAAHB8AABYeAAAVHwAAHx4AAB8eAAAeHwAAHx8AABgeAAAXHwAAGx4AABkfAAAdHgAAJR4AACEfAAAiHwAAIx8AACQfAAAeHgAAGx8AACgeAAAoHgAAKB4AACUfAAAiHgAAHR8AAC0eAAAtHgAALh4AACMeAAAoHwAAKB8AACAfAAAoHwAAKx8AACsfAAAiHwAALB8AACsfAAAuHwAALR8AACQfAAAkHwAAIx8AACceAAAjHwAAJR8AACkeAAAmHwAAMx8AACseAAAmHwAANB8AADQfAAA0HwAANR4AAC8eAAApHwAAKR8AACofAAAsHwAAMB4AAC4fAAA5HwAAMB8AADofAAA8HgAAPB4AADEfAAAxHgAAMh8AADIeAABAHgAAQB4AADMfAAA0HgAAPB8AADYfAAA0HwAANB8AADQfAAA1HgAAOB4AADcfAAA5HgAASR4AADkfAABLHgAAOh8AADseAAA9HgAAPx4AAEAfAABBHwAARB4AADwfAABCHwAAQh8AAD8fAABCHwAARR8AAEEfAABAHwAAQB8AAEAfAABPHgAAQx8AAFAeAABJHwAASB8AAEofAABLHwAAVh4AAEUfAABXHgAASB8AAEgfAABJHwAATR8AAEsfAABKHwAASh8AAEofAABYHgAAUB8AAFAfAABMHwAAUB8AAFMfAABUHwAAXh4AAE0fAABRHwAAXx4AAFYfAABVHwAAVx8AAFQfAABTHwAAUx8AAFMfAABgHgAAYR4AAFUfAABVHwAAVh8AAFsfAABcHwAAZB4AAFcfAABdHwAAXR8AAFofAABdHwAAYB8AAFwfAABbHwAAWx8AAFsfAABoHgAAXh8AAGkeAABkHwAAYx8AAGUfAABmHwAAbB4AAGAfAABtHgAAYx8AAGMfAABkHwAAaB8AAGYfAABlHwAAZR8AAGUfAABuHgAAax8AAGsfAABnHwAAax8AAG4fAABvHwAAdB4AAGgfAABsHwAAdR4AAHEfAABwHwAAch8AAG8fAABuHwAAbh8AAG4fAAB2HgAAdx4AAHAfAABwHwAAcR8AAHYfAAB3HwAAeh4AAHIfAAB4HwAAeB8AAHUfAAB4HwAAex8AAHcfAAB2HwAAdh8AAHYfAAB+HgAAfx4AAIQeAACDHgAAgx4AAIMeAAB/HwAAgR8AAIIfAACCHgAAex8AAIQeAAB+HwAAfh8AAIYeAACDHwAAhB8AAIUfAACCHwAAgR8AAIEfAACBHwAAhR4AAIkeAACNHgAAjh4AAI0eAACJHwAAih8AAIsfAACHHwAAhR8AAIUfAACFHwAAjB4AAI8eAACTHgAAlB4AAJMeAACVHgAAlB4AAJYeAACVHgAAlx4AAJYeAACYHgAAlx4AAJkeAACYHgAAmh4AAJkeAACbHgAAmh4AAJweAACbHgAAnR4AAJweAACeHgAAnR4AAJ8eAACeHgAAoB4AAJ8eAAChHgAAoB4AAKIeAAChHgAAox4AAKIeAACfHwAAnx8AAKQeAACkHgAAoR8AAI0fAACLHwAAix8AAIsfAACSHgAAnx8AAKUeAAClHgAAqB4AAKkeAACoHgAAqh4AAKkeAACrHgAAqh4AAKweAACrHgAArR4AAKweAACuHgAArR4AAK8eAACuHgAAsB4AAK8eAACxHgAAsB4AALIeAACxHgAAsx4AALIeAAC0HgAAsx4AALYeAAC0HgAAtx4AALYeAAC4HgAAtx4AALkeAAC4HgAAox8AAKMfAAC1HwAApx4AALYfAAC2HwAAth8AALgfAAC+HgAAvR4AAL8eAAC+HgAAwB4AAL8eAADBHgAAwB4AAMIeAADBHgAAwx4AAMIeAADEHgAAwx4AAMUeAADEHgAAwh8AAMIfAADGHgAAxh4AAMkeAADFHwAAxR8AAMYfAADLHgAAyh4AAMweAADLHgAAzR4AAMweAADOHgAAzR4AAM8eAADOHgAA0B4AAM8eAADRHgAA0B4AANIeAADRHgAA0x4AANIeAADUHgAA0x4AANUeAADUHgAA1h4AANUeAADTHwAA0x8AANceAADXHgAA1R8AANUfAADVHwAA1x8AAN0eAADcHgAA3x4AAN8eAADdHgAA2h8AAN0fAADdHwAA3x8AAOEfAADhHwAA4B8AAOMeAADiHgAA5B4AAOMeAADlHgAA5B4AAOYeAADlHgAA5x4AAOYeAADoHgAA5x4AAOkeAADoHgAA6R8AAOofAADrHwAA6x8AAOsfAADtHwAA7R4AAOweAADuHgAA7R4AALcfAAC3HwAA8B8AALweAADCHwAAxx4AAMceAADwHgAA8h8AAPMfAADzHgAA8x4AAMgeAADIHgAAyB4AAMUfAADTHwAA9x8AAPcfAAD4HwAA9x4AAPYeAADWHwAA1h8AAPofAADbHgAA3x4AANsfAADbHwAA+R4AAPseAAD6HgAA/B4AAPseAADeHwAA3h8AAP0fAAD+HgAA4R8AAOEeAADqHgAA/x4AAAAfAAD/HgAA7B8AAOwfAAD/HwAA6x4AAAAgAAAAIAAAASAAAAIfAAD0HwAA9B8AAPIeAAD1HwAABCAAAAQgAAAEIAAABx8AAPYeAAD5HwAAACAAAAggAAAIIAAACSAAAAUfAAACIAAACyAAAAwgAAAHHwAABCAAAAgfAAAHIAAACh8AAAkgAAAMHwAACiAAAAsgAAAQIAAAECAAABEgAAAPHwAADSAAABEfAAAOIAAAFCAAABQgAAAPIAAAFCAAABQfAAARIAAAGCAAABggAAAYIAAAHB8AABsgAAAbIAAAGyAAAB8fAAAVIAAAGR8AAB8gAAAeIAAAGh8AACEfAAAiHwAAIh8AACEfAAAiIAAAISAAABkgAAAZIAAAGCAAABwfAAAYIAAAJiAAACcgAAAfHwAAGyAAACAfAAAeIAAAHiAAAB8gAAAiHwAALR8AACQgAAAvHwAAJSAAACQfAAApIAAAJyAAACYgAAAmIAAAJiAAACcfAAAsIAAALCAAACggAAAsIAAAPR8AAD0fAAA+HwAANh8AAC0gAAA3HwAAMSAAADAgAAAyIAAAMiAAADIgAABBHwAAPx8AADAgAAAwIAAAMSAAAEYfAABGHwAARx8AAEEfAABEHwAANSAAADggAAA4IAAAOCAAAEsfAAA7IAAAOyAAADcgAAA7IAAATh8AAE4fAABPHwAASx8AAEwfAAA8IAAAPCAAAD0gAABAIAAAQCAAAEAgAABUHwAAUh8AAD8gAABYHwAAWB8AAFkfAABUHwAARSAAAEUgAABDIAAARSAAAEggAABIIAAASCAAAFwfAABaHwAARiAAAEYgAABHIAAAYR8AAGEfAABiHwAAXB8AAF8fAABLIAAATiAAAE4gAABOIAAAZh8AAFEgAABRIAAATSAAAFEgAABpHwAAaR8AAGofAABmHwAAZx8AAFIgAABSIAAAUyAAAFYgAABWIAAAViAAAG8fAABtHwAAVSAAAFogAABYIAAAViAAAFYgAABWIAAAbx8AAF0gAABdIAAAWSAAAF0gAABgIAAAYSAAAHQfAABaIAAAdR8AAF4gAABeIAAAXyAAAGMgAABhIAAAYCAAAGAgAABgIAAAdx8AAHofAAB/HwAAZiAAAGcgAABoIAAAaSAAAH0fAABjIAAAgB8AAIMfAABqIAAAayAAAGwgAABpIAAAaCAAAGggAABoIAAAgh8AAIQfAACIHwAAiR8AAIgfAACKHwAAih8AAIkfAAByIAAAjB8AAIwfAACNHwAAhx8AAIofAABxIAAAcSAAAI4fAACQHwAAjx8AAJEfAACQHwAAkh8AAJEfAACTHwAAkh8AAJQfAACTHwAAlR8AAJQfAACWHwAAlR8AAJcfAACWHwAAmB8AAJcfAACZHwAAmB8AAJofAACZHwAAmx8AAJofAACcHwAAmx8AAJ0fAACcHwAAnh8AAJ0fAACEIAAAhSAAAIYgAACGIAAAhiAAAIcgAAB0IAAAiSAAAKAfAACkHwAApR8AAKQfAACmHwAApR8AAKcfAACmHwAAqB8AAKcfAACpHwAAqB8AAKofAACpHwAAqx8AAKofAACsHwAAqx8AAK0fAACsHwAArh8AAK0fAACvHwAArh8AALAfAACvHwAAsR8AALAfAACyHwAAsR8AALMfAACyHwAAtB8AALMfAACIIAAAiCAAAJogAACjHwAAmyAAAJsgAACdIAAAnyAAAJ8gAACeIAAAuR8AALgfAAC6HwAAuR8AALsfAAC6HwAAvB8AALsfAAClIAAApSAAAL0fAACnIAAApyAAAKggAAC/HwAAvh8AAMAfAAC/HwAAqyAAAKsgAADBHwAAwR8AAMYfAADFHwAAxx8AAMYfAADIHwAAxx8AAMkfAADIHwAAyh8AAMkfAADLHwAAyh8AAMwfAADLHwAAzR8AAMwfAADOHwAAzR8AAM8fAADOHwAA0B8AAM8fAADRHwAA0B8AANIfAADRHwAAuiAAALsgAADXHwAA1h8AANgfAADXHwAA2R8AANgfAADaHwAA2R8AANwfAADcHwAA2h8AAMIgAADBIAAAxCAAAMMgAADGIAAAxiAAAMUgAADgHwAA3x8AAOIfAADgHwAA4x8AAOIfAADkHwAA4x8AAOUfAADkHwAA5h8AAOUfAADnHwAA5h8AAOgfAADnHwAA6R8AAOgfAADqHwAA6h8AAOkfAADSIAAA0SAAANQgAADUIAAA0yAAAO4fAADtHwAAnCAAAJwgAADWIAAA8B8AAJ8gAAC3HwAApSAAAKcgAACrIAAAwx8AAMMfAADxHwAA2iAAANogAADyHwAA8h8AAPYfAAD1HwAArSAAAN0gAADeIAAA3iAAAN8gAAD3HwAA+h8AAPkfAAC8IAAA4SAAANwfAAD8HwAAxCAAAP0fAADGIAAA3h8AAOofAAD/HwAA1CAAAOwfAADaIAAA4iAAAOIgAADjIAAAAyAAAAMgAAADIAAA9R8AAAUgAAAFIAAABiAAAPgfAAD5HwAA4CAAAOggAADoIAAA6SAAAAggAADkIAAA5CAAAAIgAADlIAAABiAAAOYgAADtIAAA7SAAAO0gAAANIAAA8CAAAPEgAAAJIAAA6CAAAPIgAADyIAAA6iAAAPIgAAAMIAAAECAAAPUgAAD2IAAA9yAAAPggAAANIAAA7SAAAPkgAAD6IAAADiAAAPAgAAAPIAAA8yAAAPMgAAD0IAAA/CAAAPwgAAD2IAAA/SAAAPwgAAD/IAAA/iAAAPggAAD3IAAA9yAAAPcgAAASIAAAHCAAABwgAAAdIAAAEyAAABYgAAD7IAAAFyAAACEgAAD/IAAAIyAAAAEhAAAZIAAABCEAAAQhAAAEIQAAJyAAAAchAAAHIQAAAyEAAAchAAAqIAAAKiAAACsgAAAnIAAAKCAAAAghAAAIIQAACSEAAAwhAAAMIQAADCEAAC8gAAAuIAAACyEAABAhAAAOIQAADCEAAAwhAAAMIQAALyAAABMhAAATIQAADyEAABMhAAAWIQAAFyEAADQgAAAQIQAAFCEAADUgAAAZIQAAGCEAABohAAAXIQAAFiEAABYhAAAWIQAANiAAADcgAAAYIQAAGCEAABkhAAAeIQAAHyEAADogAAAaIQAAICEAACAhAAAdIQAAICEAACMhAAAfIQAAHiEAAB4hAAAeIQAAPiAAACEhAAA/IAAAJyEAACYhAAAoIQAAKSEAAEIgAAAjIQAAQyAAACYhAAAmIQAAJyEAACshAAApIQAAKCEAACghAAAoIQAARCAAAC4hAAAuIQAAKiEAAC4hAAAxIQAAMiEAAEogAAArIQAALyEAAEsgAAA0IQAAMyEAADUhAAAyIQAAMSEAADEhAAAxIQAATCAAAE0gAAAzIQAAMyEAADQhAAA5IQAAOiEAAFAgAAA1IQAAUyAAADghAAA8IQAAOiEAADkhAAA5IQAAOSEAAFQgAAA/IQAAPyEAADshAAA/IQAAWyAAAFsgAABcIAAAWCAAAFkgAABAIQAAQCEAAEEhAABEIQAARCEAAEQhAABhIAAARyEAAEchAABDIQAARyEAAGQgAABkIAAAZSAAAGEgAABiIAAAZyAAAGYgAABmIAAAZiAAAEwhAABOIQAATiEAAE4hAABpIAAAZyAAAGsgAABqIAAAaiAAAGogAABSIQAAbSAAAG0gAABuIAAAaSAAAGsgAABRIQAAUSEAAG8gAAByIAAAcCAAAHMgAABzIAAAciAAAFghAABaIQAAWiEAAFohAAB0IAAAcyAAAFchAABXIQAAdSAAAHcgAAB2IAAAeCAAAHcgAAB5IAAAeCAAAHogAAB5IAAAeyAAAHogAAB8IAAAeyAAAH0gAAB8IAAAfiAAAH0gAAB/IAAAfiAAAIAgAAB/IAAAgSAAAIAgAACCIAAAgSAAAIMgAACCIAAAhCAAAIMgAABrIQAAbCEAAG0hAABtIQAAbSEAAG4hAABcIQAAXCEAAHAhAAB0IAAAhSAAAIogAACLIAAAiiAAAIwgAACLIAAAjSAAAIwgAACOIAAAjSAAAI8gAACOIAAAkCAAAI8gAACRIAAAkCAAAJIgAACRIAAAkyAAAJIgAACUIAAAkyAAAJUgAACUIAAAliAAAJUgAACXIAAAliAAAJggAACXIAAAmSAAAJggAABvIQAAbyEAAIAhAACIIAAAgSEAAIEhAACBIQAAgyEAAJ4gAACdIAAAoCAAAJ4gAAChIAAAoCAAAKIgAAChIAAAoyAAAKIgAACKIQAAiiEAAKQgAACkIAAAqCAAAI0hAACNIQAAjiEAAI8hAACPIQAAqiAAAKogAACuIAAArSAAAK8gAACuIAAAsCAAAK8gAACxIAAAsCAAALIgAACxIAAAsyAAALIgAAC0IAAAsyAAALUgAAC0IAAAtiAAALUgAAC3IAAAtiAAALggAAC3IAAAuSAAALggAAC6IAAAuSAAAJ4hAACfIQAAvSAAALwgAAC+IAAAvSAAAL8gAAC+IAAAwCAAAL8gAADBIAAAwCAAAMMgAADBIAAAxSAAAMMgAADHIAAAxSAAAMggAADHIAAAySAAAMggAADKIAAAySAAAMsgAADKIAAAzCAAAMsgAADNIAAAzCAAAM4gAADNIAAAzyAAAM4gAADQIAAAzyAAANEgAADQIAAA0yAAANEgAADVIAAA0yAAAIIhAACCIQAAtCEAAJwgAACKIQAApiAAAKYgAADXIAAAjCEAAIwhAAC3IQAAjSEAAI8hAACsIAAArCAAANggAAC6IQAAuiEAANkgAADZIAAA3SAAANwgAACRIQAAvSEAALsgAACfIQAAvyEAAL8hAAC/IQAAwSEAAKAhAADCIQAAuiEAAMQhAADiIAAA4iAAAOIgAADiIAAA3CAAALwhAADHIQAAxyEAAL4hAADHIQAAyiEAAMshAADgIAAAvyEAAMQhAADMIQAAzCEAAM0hAADrIAAA6yAAAOsgAADlIAAAyCEAAOYgAADRIQAA0CEAANIhAADLIQAAyiEAAMohAADKIQAA5yAAAOkgAADNIQAA6iAAAM4hAADOIQAAzyEAAOwgAAD2IAAA9SAAAPUgAAD1IAAA2CEAANchAADTIQAA0yEAANIhAADuIAAA0iEAANwhAADcIQAA3CEAAPogAAD0IAAA1iEAAPYgAAD+IAAA2iEAAAAhAADbIQAA+CAAAOAhAADhIQAA+iAAANwhAADiIQAA4iEAAN8hAADiIQAA5SEAAOEhAADgIQAA4CEAAOAhAAACIQAAAyEAAOMhAADjIQAA5CEAAOkhAADqIQAABiEAAOUhAADrIQAA6yEAAOghAADrIQAA7iEAAOohAADpIQAA6SEAAOkhAAAKIQAA7CEAAAshAADyIQAA8SEAABEhAAARIQAAEiEAAA4hAAAPIQAA8SEAAPEhAADyIQAA9SEAAPUhAAD1IQAAFyEAABUhAAD0IQAAGyEAABshAAAcIQAAFyEAAPohAAD6IQAA+CEAAPohAAD9IQAA/SEAAP0hAAAfIQAAHSEAAPshAAD7IQAA/CEAACQhAAAkIQAAJSEAAB8hAAAiIQAAACIAAAMiAAADIgAAAyIAACkhAAAGIgAABiIAAAIiAAAGIgAACSIAAAUiAAADIgAAAyIAAAMiAAApIQAAKiEAAAciAAAHIgAACCIAAA0iAAAOIgAALSEAAAkiAAAwIQAADCIAABAiAAAOIgAADSIAAA0iAAANIgAAMiEAABMiAAATIgAADyIAABMiAAAWIgAAFyIAADchAAAQIgAAFCIAADghAAAZIgAAGCIAABoiAAAXIgAAFiIAABYiAAAWIgAAOiEAADshAAAYIgAAGCIAABkiAAAeIgAAHyIAAD4hAAAaIgAAICIAACAiAAAdIgAAICIAACMiAAAfIgAAHiIAAB4iAAAeIgAAQiEAAEMhAAAhIgAAISIAACIiAAAnIgAAKCIAAEYhAAAjIgAASSEAAEwhAAApIgAAKiIAACsiAAAoIgAAJyIAACciAAAnIgAASiEAAE0hAABSIQAAUyEAAFMhAABSIQAAMCIAADIiAAAzIgAAUCEAACsiAABTIQAALyIAAC8iAABVIQAAWCEAAFYhAABZIQAAWSEAAFghAAA3IgAAOSIAADMiAAAyIgAAMiIAADIiAABUIQAAWSEAADYiAAA2IgAAXSEAAF8hAABeIQAAYCEAAF8hAABhIQAAYCEAAGIhAABhIQAAYyEAAGIhAABkIQAAYyEAAGUhAABkIQAAZiEAAGUhAABnIQAAZiEAAGghAABnIQAAaSEAAGghAABqIQAAaSEAAGshAABqIQAASSIAAEoiAABLIgAASyIAAEsiAABMIgAAOyIAADsiAABOIgAAXCEAAGwhAABxIQAAciEAAHEhAABzIQAAciEAAHQhAABzIQAAdSEAAHQhAAB2IQAAdSEAAHchAAB2IQAAeCEAAHchAAB5IQAAeCEAAHohAAB5IQAAeyEAAHohAAB8IQAAeyEAAH0hAAB8IQAAfiEAAH0hAAB/IQAAfiEAAE0iAABNIgAAXSIAAG8hAABeIgAAXiIAAF4iAABgIgAAhCEAAIMhAACFIQAAhCEAAIYhAACFIQAAhyEAAIYhAACIIQAAhyEAAGciAABnIgAAiSEAAIkhAACOIQAAjiEAAJIhAABrIgAAayIAAGwiAACUIQAAkyEAAJUhAACUIQAAliEAAJUhAACXIQAAliEAAJghAACXIQAAmSEAAJghAACaIQAAmSEAAJshAACaIQAAnCEAAJshAACdIQAAnCEAAJ4hAACdIQAAdyIAAHgiAAChIQAAoCEAAKIhAAChIQAAoyEAAKIhAACkIQAAoyEAAKUhAACkIQAApiEAAKUhAACnIQAApiEAAKghAACnIQAAqSEAAKghAACqIQAAqSEAAKshAACqIQAArCEAAKshAACtIQAArCEAAK4hAACtIQAAryEAAK4hAACwIQAAryEAALEhAACwIQAAsiEAALEhAACzIQAAsiEAAF8iAABfIgAAjCIAAIIhAABnIgAAiyEAAIshAAC1IQAAtiEAALUhAAC3IQAAtiEAAGkiAABpIgAAkSIAAJAhAACQIQAAuCEAAJMiAACTIgAAuSEAALkhAAC9IQAAvSEAAJEhAACRIQAAkSEAAGsiAACYIgAAmCIAAHgiAACYIgAAmyIAAJsiAACbIgAAnSIAAMIhAADBIQAAeSIAAJ8iAACTIgAAoSIAAMMhAADDIQAAwyEAAMMhAACVIgAAlSIAALwhAACWIgAAviEAAMkhAADHIQAAxyEAAMchAACmIgAApSIAAJwiAACcIgAAmyIAAMAhAACbIgAAoSIAAKsiAADMIQAAzCEAAMwhAADMIQAAxiEAAKMiAACmIgAAySEAAKgiAACvIgAA1CEAANQhAACpIgAAyyEAALAiAACxIgAAzSEAAKsiAACyIgAAsiIAAK0iAACyIgAA0SEAANkhAACvIgAA0yEAAN0hAADdIQAA3iEAANUhAACzIgAA1iEAALciAAC2IgAAuCIAALgiAAC4IgAA4SEAAN8hAAC2IgAAtiIAALciAAC8IgAAuiIAALgiAAC4IgAAuCIAAOEhAAC/IgAAvyIAALsiAAC/IgAAwiIAAMMiAADnIQAAvCIAAOghAADAIgAAwCIAAMEiAADFIgAAwyIAAMIiAADCIgAAwiIAAOohAADtIQAAxCIAAMkiAADKIgAA8CEAAMUiAADLIgAAyyIAAMgiAADLIgAAziIAAMoiAADJIgAAySIAAMkiAADzIQAAzCIAAPQhAADSIgAA0SIAANMiAADUIgAA9yEAAM4iAAD4IQAA0SIAANEiAADSIgAA1iIAANQiAADTIgAA0yIAANMiAAD5IQAA2SIAANkiAADVIgAA2SIAANwiAADcIgAA3SIAAOAiAADiIgAA4yIAAP8hAADWIgAA2iIAAAAiAADlIgAA5CIAAOYiAADeIgAA3iIAANwiAADfIgAA6iIAAOsiAADqIgAA7CIAAOMiAADiIgAA4iIAAOIiAAABIgAAAiIAAOQiAADkIgAA5SIAAOYiAADpIgAA8SIAAOoiAADyIgAA6yIAAAoiAAAKIgAACyIAAAUiAAAIIgAA7yIAAPUiAAD1IgAA9SIAAA4iAAD4IgAA+CIAAPQiAAD4IgAA+yIAAPciAAD1IgAA9SIAAPUiAAAOIgAADyIAAPkiAAD5IgAA+iIAAP8iAAAAIwAAEiIAAPsiAAAVIgAA/iIAAAIjAAAAIwAA/yIAAP8iAAD/IgAAFyIAAAUjAAAFIwAAASMAAAUjAAAIIwAACSMAABwiAAACIwAAHSIAAAYjAAAGIwAAByMAACQiAAAkIgAAJSIAAB8iAAAMIwAADCMAAAojAAAMIwAADyMAAA8jAAAPIwAAKCIAACYiAAAqIgAAKSIAACkiAAApIgAAEyMAACwiAAAsIgAALSIAACgiAAAqIgAAEiMAABIjAAAuIgAAFiMAABcjAAAYIwAAGCMAABgjAAAzIgAAMSIAADQiAAA1IgAANCIAADciAAA1IgAAOCIAADgiAAA3IgAAHyMAACEjAAAaIwAAGCMAABgjAAAYIwAAMyIAADgiAAAeIwAAHiMAADwiAAA+IgAAPSIAAD8iAAA+IgAAQCIAAD8iAABBIgAAQCIAAEIiAABBIgAAQyIAAEIiAABEIgAAQyIAAEUiAABEIgAARiIAAEUiAABHIgAARiIAAEgiAABHIgAAMCMAADAjAABJIgAASSIAADIjAAAyIwAAMiMAADMjAAAjIwAAIyMAADUjAAA7IgAAMCMAAEoiAABKIgAATyIAAFAiAABPIgAAUSIAAFAiAABSIgAAUSIAAFMiAABSIgAAVCIAAFMiAABVIgAAVCIAAFYiAABVIgAAVyIAAFYiAABYIgAAVyIAAFkiAABYIgAAWiIAAFkiAABbIgAAWiIAAFwiAABbIgAANCMAADQjAABEIwAATSIAAGAiAABfIgAAYSIAAGAiAABiIgAAYSIAAGMiAABiIgAAZCIAAGMiAABlIgAAZCIAAEwjAABMIwAAZiIAAGYiAABsIgAAayIAAG0iAABsIgAAbiIAAG0iAABvIgAAbiIAAHAiAABvIgAAcSIAAHAiAAByIgAAcSIAAHMiAAByIgAAdCIAAHMiAAB1IgAAdCIAAHYiAAB1IgAAdyIAAHYiAABaIwAAWyMAAFwjAABcIwAAXCMAAF4jAAB7IgAAeiIAAHwiAAB7IgAAfSIAAHwiAAB+IgAAfSIAAH8iAAB+IgAAgCIAAH8iAACBIgAAgCIAAIIiAACBIgAAgyIAAIIiAACEIgAAgyIAAIUiAACEIgAAhiIAAIUiAACHIgAAhiIAAIgiAACHIgAAiSIAAIgiAACKIgAAiSIAAIsiAACKIgAAjCIAAIsiAABFIwAAcSMAAEwjAABoIgAAaCIAAI0iAACOIgAAjSIAAI8iAACOIgAAkCIAAI8iAACRIgAAkCIAAJIiAACRIgAAeCMAAHkjAACXIgAAliIAAE4jAAB7IwAAeCIAAJgiAACaIgAAmiIAAJgiAAB+IwAAfSMAAIAjAACAIwAAfyMAAJ4iAACdIgAAXSMAAF0jAACCIwAAeSIAAIMjAACDIwAAhCMAAKAiAACkIgAApCIAAKQiAACWIgAAmiIAAKciAACAIwAAnCIAAIMjAACIIwAAqiIAAKoiAACqIgAAqiIAAIUjAACjIgAAiyMAAIojAACMIwAAjSMAAKwiAACIIwAArSIAAIojAACKIwAAiyMAAI8jAACQIwAAsSIAAIwjAACRIwAAkSMAAI4jAACRIwAAlCMAAJAjAACPIwAAjyMAAI8jAAC1IgAAkiMAALciAACYIwAAlyMAAL0iAAC9IgAAviIAALoiAAC7IgAAlyMAAJcjAACYIwAAmyMAAJsjAACbIwAAwyIAAJ4jAACeIwAAmiMAAJ4jAADGIgAAxiIAAMciAADDIgAAnyMAAMQiAACjIwAAoiMAAKQjAACkIwAApCMAAMoiAADIIgAAoiMAAKIjAACjIwAAzyIAAM8iAADQIgAAyiIAAM0iAACnIwAAqiMAAKojAACqIwAA1CIAAK0jAACtIwAAqSMAAK0jAACwIwAArCMAAKojAACqIwAAqiMAANQiAADVIgAAriMAAK4jAACvIwAA3SIAAN0iAAC0IwAA4CIAALYjAAC3IwAA2CIAALAjAADbIgAAsyMAAOciAADnIgAA5yIAALkjAAC1IwAAuyMAAOEiAAC1IwAAvCMAALcjAAC2IwAAtiMAALYjAADjIgAAvyMAAL8jAAC4IwAAvyMAAOgiAADxIgAAuiMAAPIiAAC7IwAA6yIAAMIjAADDIwAA7iIAALwjAADAIwAA7yIAAMUjAADEIwAAxiMAAMMjAADCIwAAwiMAAMIjAADzIgAA9CIAAMQjAADEIwAAxSMAAPwiAAD8IgAA/SIAAPciAAD6IgAAySMAAMwjAADMIwAAzCMAAAAjAADPIwAAzyMAAMsjAADPIwAAAyMAAAMjAAAEIwAAACMAAAEjAADQIwAA0CMAANEjAADUIwAA1CMAANQjAAAJIwAA1yMAANcjAADTIwAA1yMAANojAADbIwAACSMAANQjAAAKIwAA2CMAANgjAADZIwAA3SMAANsjAADaIwAA2iMAANojAAALIwAADiMAABMjAADgIwAA4SMAAOIjAADjIwAAESMAAN0jAAAUIwAAFiMAABcjAAAXIwAAFiMAAOYjAADoIwAA4yMAAOIjAADiIwAA4iMAABUjAAAXIwAA5SMAAOUjAAAbIwAAHSMAABwjAAAfIwAAHSMAAO0jAADuIwAA7yMAAOojAADoIwAA6CMAAOgjAAAaIwAAICMAACQjAAAlIwAAJCMAACYjAAAlIwAAJyMAACYjAAAoIwAAJyMAACkjAAAoIwAAKiMAACkjAAArIwAAKiMAACwjAAArIwAALSMAACwjAAAuIwAALSMAAC8jAAAuIwAA/SMAAP4jAAD/IwAA/yMAAP8jAAAAJAAA8SMAAPEjAAACJAAAIyMAADEjAAA2IwAANyMAADYjAAA4IwAANyMAADkjAAA4IwAAOiMAADkjAAA7IwAAOiMAADwjAAA7IwAAPSMAADwjAAA+IwAAPSMAAD8jAAA+IwAAQCMAAD8jAABBIwAAQCMAAEIjAABBIwAAQyMAAEIjAAABJAAAASQAABAkAAA0IwAAESQAABEkAAARJAAAEyQAAEcjAABGIwAASCMAAEcjAABJIwAASCMAAEojAABJIwAASyMAAEojAAAZJAAAGiQAAE8jAAAcJAAAHCQAAB0kAABRIwAAUCMAAFIjAABRIwAAUyMAAFIjAABUIwAAUyMAAFUjAABUIwAAViMAAFUjAABXIwAAViMAAFgjAABXIwAAWSMAAFgjAABaIwAAWSMAAFsjAABbIwAAWiMAACgkAAArJAAAKyQAACskAAAtJAAAXyMAAF4jAABgIwAAXyMAAGEjAABgIwAAYiMAAGEjAABjIwAAYiMAAGQjAABjIwAAZSMAAGQjAABmIwAAZSMAAGcjAABmIwAAaCMAAGcjAABpIwAAaCMAAGojAABpIwAAayMAAGojAABsIwAAayMAAG0jAABsIwAAbiMAAG0jAABvIwAAbiMAAHAjAABvIwAAEiQAABIkAABAJAAARSMAAE0jAAByIwAAcyMAAHIjAAB0IwAAcyMAAHUjAAB0IwAAdiMAAHUjAAB3IwAAdiMAAEckAABHJAAAeCMAAHgjAAB7IwAAeyMAAE4jAABOIwAATiMAABwkAABbIwAAKSQAACkkAAB8IwAAfyMAAH0jAACBIwAAfyMAACwkAAAsJAAATiQAAF0jAABHJAAATyQAAE8kAABQJAAASSQAAEkkAAB6IwAASiQAAFMkAABTJAAAVCQAAIcjAACGIwAAUSQAAFYkAABXJAAAiSMAAFMkAABYJAAAWCQAAFUkAABYJAAAWyQAAFwkAACNIwAAViQAAI4jAABZJAAAWSQAAFokAABeJAAAXCQAAFskAABbJAAAWyQAAJAjAACTIwAAXSQAAGIkAABjJAAAliMAAF4kAABkJAAAZCQAAGEkAABkJAAAZyQAAGMkAABiJAAAYiQAAGIkAACZIwAAmiMAAGUkAABlJAAAZiQAAGskAABsJAAAnSMAAGckAACgIwAAaiQAAG4kAABsJAAAayQAAGskAABrJAAAoSMAAHEkAABxJAAAbSQAAHEkAAB0JAAAdSQAAKYjAABuJAAAciQAAKcjAAB3JAAAdiQAAHgkAAB1JAAAdCQAAHQkAAB0JAAAqCMAAKkjAAB2JAAAdiQAAHckAACxIwAAsSMAALIjAACsIwAAfSQAAH0kAAB7JAAAfSQAAIAkAACAJAAAgCQAALcjAAB+JAAAsyMAAIQkAACDJAAAhSQAAIIkAACAJAAAgCQAAIAkAAC3IwAAuCMAAIMkAACDJAAAhCQAAIkkAACKJAAAviMAAIUkAADBIwAAiCQAAIwkAACKJAAAiSQAAIkkAACJJAAAwyMAAI8kAACPJAAAiyQAAI8kAACSJAAAkyQAAMgjAACMJAAAkCQAAMkjAACVJAAAlCQAAJYkAACTJAAAkiQAAJIkAACSJAAAyiMAAMsjAACUJAAAlCQAAJUkAACaJAAAmyQAAM4jAACWJAAAnCQAAJwkAACZJAAAnCQAAJ8kAACbJAAAmiQAAJokAACaJAAA0iMAANMjAACdJAAAnSQAAJ4kAACjJAAApCQAANYjAACfJAAApSQAAKUkAACiJAAApSQAAN4jAADeIwAA3yMAANsjAADcIwAA4SMAAOAjAADgIwAA4CMAAKokAACsJAAArCQAAKwkAADjIwAA4SMAAKkkAACpJAAA5CMAAK8kAACwJAAAsSQAAK4kAACsJAAArCQAAKwkAADjIwAA5yMAAOsjAADsIwAA6yMAAO0jAADsIwAA7iMAAO4jAADtIwAAuCQAALokAACzJAAAsSQAALEkAACxJAAA6iMAAO4jAAC3JAAAtyQAAPIjAAD0IwAA8yMAAPUjAAD0IwAA9iMAAPUjAAD3IwAA9iMAAPgjAAD3IwAA+SMAAPgjAAD6IwAA+SMAAPsjAAD6IwAA/CMAAPsjAAD9IwAA/CMAAMckAADIJAAAySQAAMkkAADJJAAAyiQAALwkAAC8JAAAzCQAAPEjAAD+IwAAAyQAAAQkAAADJAAABSQAAAQkAAAGJAAABSQAAAckAAAGJAAACCQAAAckAAAJJAAACCQAAAokAAAJJAAACyQAAAokAAAMJAAACyQAAA0kAAAMJAAADiQAAA0kAAAPJAAADiQAAMskAADLJAAA2SQAAAEkAAATJAAAEiQAABQkAAATJAAAFSQAABQkAAAWJAAAFSQAABckAAAWJAAAGCQAABckAADhJAAA4SQAABkkAAAZJAAAHSQAABwkAAAeJAAAHSQAAB8kAAAeJAAAICQAAB8kAAAhJAAAICQAACIkAAAhJAAAIyQAACIkAAAkJAAAIyQAACUkAAAkJAAAJiQAACUkAAAnJAAAJiQAACgkAAAnJAAAKiQAACokAAAoJAAA8SQAAPAkAADzJAAA8iQAAPUkAAD1JAAA9CQAAC4kAAAtJAAALyQAAC4kAAAwJAAALyQAADEkAAAwJAAAMiQAADEkAAAzJAAAMiQAADQkAAAzJAAANSQAADQkAAA2JAAANSQAADckAAA2JAAAOCQAADckAAA5JAAAOCQAADokAAA5JAAAOyQAADokAAA8JAAAOyQAAD0kAAA8JAAAPiQAAD0kAAA/JAAAPiQAAEAkAAA/JAAA2iQAAAklAADhJAAAGiQAABokAABBJAAAQiQAAEEkAABDJAAAQiQAAEQkAABDJAAARSQAAEQkAAAQJQAAECUAAEYkAABGJAAASyQAAEokAADjJAAAEyUAACokAABNJAAA8yQAAE4kAAD1JAAALCQAABAlAAAVJQAATyQAAE8kAABPJAAATyQAAFIkAABSJAAAUiQAAEokAAAZJQAAGiUAAFAkAAAVJQAAFyUAAFEkAAAcJQAAGyUAAB0lAAAeJQAAVCQAABklAABVJAAAGyUAABslAAAcJQAAICUAACElAABXJAAAHSUAAFokAAAfJQAAXyQAAF8kAABgJAAAXCQAACQlAAAkJQAAIiUAACQlAAAnJQAAJyUAACclAABjJAAAYSQAACUlAAAlJQAAJiUAACslAAApJQAAJyUAACclAAAnJQAAYyQAAGYkAAAqJQAALyUAADAlAABpJAAAKyUAADElAAAxJQAALiUAADElAAA0JQAAMCUAAC8lAAAvJQAALyUAAGwkAABtJAAAMiUAADIlAAAzJQAAOCUAADklAABwJAAANCUAAHMkAAA3JQAAOyUAADklAAA4JQAAOCUAADglAAB1JAAAPiUAAD4lAAA6JQAAPiUAAEElAABCJQAAeiQAADslAAB7JAAAPyUAAD8lAABAJQAARCUAAEIlAABBJQAAQSUAAEElAAB8JAAAfyQAAEMlAACGJAAAhiQAAIckAACCJAAASSUAAEklAABHJQAASSUAAEwlAABMJQAATCUAAIokAABKJQAAiCQAAFAlAABPJQAAjSQAAI0kAACOJAAAiiQAAIskAABPJQAATyUAAFAlAABTJQAAUyUAAFMlAACTJAAAViUAAFYlAABSJQAAViUAAJckAACXJAAAmCQAAJMkAABXJQAAlSQAAFslAABaJQAAXCUAAFwlAABcJQAAmyQAAJkkAABaJQAAWiUAAFslAACgJAAAoCQAAKEkAACbJAAAYSUAAGElAABfJQAAYSUAAGQlAABkJQAAZCUAAKQkAACiJAAAYiUAAGIlAABjJQAAaCUAAGklAACkJAAAZCUAAKckAACqJAAAaiUAAGslAABsJQAAaSUAAGglAABoJQAAaCUAAKgkAACrJAAAryQAALAkAACwJAAAryQAAHElAACyJAAAsiQAALMkAACuJAAAsCQAAHAlAABwJQAAtCQAALYkAAC1JAAAuCQAALYkAAB2JQAAdyUAALskAAC8JAAAcyUAAHglAAC5JAAAvSQAAL4kAAC9JAAAvyQAAL4kAADAJAAAvyQAAMEkAADAJAAAwiQAAMEkAADDJAAAwiQAAMQkAADDJAAAxSQAAMQkAADGJAAAxSQAAMckAADGJAAAhCUAAIUlAACGJQAAhiUAAIYlAACHJQAAzCQAAMokAAB5JQAAiiUAAMgkAADNJAAAziQAAM0kAADPJAAAziQAANAkAADPJAAA0SQAANAkAADSJAAA0SQAANMkAADSJAAA1CQAANMkAADVJAAA1CQAANYkAADVJAAA1yQAANYkAADYJAAA1yQAAIglAACIJQAAliUAAMskAACXJQAAlyUAAJclAACZJQAA3CQAANskAADdJAAA3CQAAN4kAADdJAAA3yQAAN4kAADgJAAA3yQAAJ8lAACgJQAA5CQAAKIlAACiJQAAoyUAAOYkAADlJAAA5yQAAOYkAADoJAAA5yQAAOkkAADoJAAA6iQAAOkkAADrJAAA6iQAAOwkAADrJAAA7SQAAOwkAADuJAAA7SQAAO8kAADuJAAA8CQAAO8kAADyJAAA8CQAAPQkAADyJAAA9iQAAPQkAAD3JAAA9iQAAPgkAAD3JAAA+SQAAPgkAAD6JAAA+SQAAPskAAD6JAAA/CQAAPskAAD9JAAA/CQAAP4kAAD9JAAA/yQAAP4kAAAAJQAA/yQAAAElAAAAJQAAAiUAAAElAAADJQAAAiUAAAQlAAADJQAABSUAAAQlAAAGJQAABSUAAAclAAAGJQAACCUAAAclAACYJQAAmCUAAMMlAADaJAAA4iQAAAolAAALJQAACiUAAAwlAAALJQAADSUAAAwlAAAOJQAADSUAAMklAADJJQAADyUAAA8lAAATJQAAEyUAAOMkAADjJAAA4yQAAKIlAADJJQAAzyUAABQlAAAUJQAAFCUAABQlAADLJQAAyyUAABIlAADMJQAA0yUAANQlAAAWJQAAzyUAABglAADRJQAA0yUAANYlAADWJQAA1yUAANglAADYJQAA1SUAANglAADbJQAA2yUAANslAAAhJQAA2SUAAB8lAADfJQAA3iUAAOAlAADhJQAAISUAANslAAAiJQAA3iUAAN4lAADfJQAA4yUAAOElAADgJQAA4CUAAOAlAAAjJQAA5iUAAOYlAADiJQAA5iUAAOklAADlJQAA4yUAAOMlAADjJQAAKSUAAOclAAAqJQAA7SUAAOwlAADuJQAA7yUAAC0lAADpJQAALiUAAOwlAADsJQAA7SUAAPElAADvJQAA7iUAAO4lAADuJQAAMCUAAPQlAAD0JQAA8CUAAPQlAAD3JQAA+CUAADYlAADxJQAA9SUAADclAAD6JQAA+SUAAPslAAD4JQAA9yUAAPclAAD3JQAAOSUAADolAAD5JQAA+SUAAPolAAD/JQAAACYAAD0lAAD7JQAAASYAAAEmAAD+JQAAASYAAAQmAAAAJgAA/yUAAP8lAAD/JQAAQiUAAAImAABDJQAACCYAAAcmAAAJJgAACiYAAEYlAAAEJgAARyUAAAcmAAAHJgAACCYAAAwmAAAKJgAACSYAAAkmAAAJJgAASCUAAA8mAAAPJgAACyYAAA8mAAASJgAAEyYAAE4lAAAMJgAAECYAAFAlAAAVJgAAFCYAABYmAAATJgAAEiYAABImAAASJgAAUSUAAFIlAAAUJgAAFCYAABUmAAAaJgAAGyYAAFUlAAAWJgAAWCUAABkmAAAdJgAAGyYAABomAAAaJgAAGiYAAFklAAAgJgAAICYAABwmAAAgJgAAIyYAACQmAABeJQAAHSYAAF8lAAAhJgAAISYAACImAAAmJgAAJCYAACMmAAAjJgAAIyYAAGAlAAApJgAAKSYAACUmAAApJgAALCYAAC0mAABmJQAAJiYAAGclAABrJQAAaiUAAGolAABqJQAALyYAADEmAAAtJgAALCYAACwmAAAsJgAAaSUAAGslAAAuJgAALiYAAG8lAAA0JgAANSYAADYmAAA3JgAAbiUAADEmAAByJQAAdCUAAHUlAAB0JQAAdiUAAHUlAAB3JQAAdyUAAHYlAAA8JgAAPiYAADcmAAA2JgAANiYAADYmAABzJQAAdyUAADsmAAA7JgAAeiUAAHwlAAB7JQAAfSUAAHwlAAB+JQAAfSUAAH8lAAB+JQAAgCUAAH8lAACBJQAAgCUAAIIlAACBJQAAgyUAAIIlAACEJQAAgyUAAIUlAACFJQAAhCUAAEwmAABOJgAATiYAAE4mAABPJgAAiSUAAIclAABAJgAAQCYAAFImAAB5JQAAhSUAAEsmAABLJgAAiyUAAI0lAACMJQAAjiUAAI0lAACPJQAAjiUAAJAlAACPJQAAkSUAAJAlAACSJQAAkSUAAJMlAACSJQAAlCUAAJMlAACVJQAAlCUAAFAmAABQJgAAXCYAAIglAABdJgAAXSYAAF0mAABfJgAAmiUAAJklAACbJQAAmiUAAJwlAACbJQAAnSUAAJwlAACeJQAAnSUAAGYmAABmJgAAnyUAAJ8lAACjJQAAoiUAAKQlAACjJQAApSUAAKQlAACmJQAApSUAAKclAACmJQAAqCUAAKclAACpJQAAqCUAAKolAACpJQAAqyUAAKolAACsJQAAqyUAAK0lAACsJQAAriUAAK0lAACvJQAAriUAALAlAACvJQAAsSUAALAlAACyJQAAsSUAALMlAACyJQAAtCUAALMlAAC1JQAAtCUAALYlAAC1JQAAtyUAALYlAAC4JQAAtyUAALklAAC4JQAAuiUAALklAAC7JQAAuiUAALwlAAC7JQAAvSUAALwlAAC+JQAAvSUAAL8lAAC+JQAAwCUAAL8lAADBJQAAwCUAAMIlAADBJQAAXiYAAF4mAACIJgAAmCUAAGYmAACgJQAAoCUAAMQlAADFJQAAxCUAAMYlAADFJQAAxyUAAMYlAACOJgAAjiYAAMglAADIJQAAzSUAAMwlAABoJgAAkSYAAI4mAACTJgAAziUAAM4lAADOJQAAziUAANIlAADSJQAA0iUAAMwlAACTJgAAlyYAAJcmAACYJgAAlSYAANElAACaJgAAmSYAAJsmAACbJgAAnCYAANYlAADVJQAAmSYAAJkmAACaJgAAniYAAJwmAACbJgAAmyYAAJsmAADXJQAA2iUAAJ0mAACiJgAAoyYAAN0lAACeJgAApCYAAKQmAAChJgAApCYAAKcmAACjJgAAoiYAAKImAACiJgAA4SUAAOIlAAClJgAApSYAAKYmAADqJQAA6iUAAOslAADlJQAArCYAAKwmAACqJgAArCYAAK8mAACvJgAAryYAAO8lAACtJgAA7SUAALMmAACyJgAA8iUAAPIlAADzJQAA7yUAAPAlAACyJgAAsiYAALMmAAC2JgAAtiYAALYmAAD4JQAA9iUAALUmAAD8JQAA/CUAAP0lAAD4JQAAuyYAALsmAAC5JgAAuyYAAL4mAAC+JgAAviYAAAAmAAD+JQAAvCYAALwmAAC9JgAABSYAAAUmAAAGJgAAACYAAAMmAADBJgAAxCYAAMQmAADEJgAACiYAAMcmAADHJgAAwyYAAMcmAAANJgAADSYAAA4mAAAKJgAACyYAAMgmAADIJgAAySYAAMwmAADMJgAAzCYAABMmAAARJgAAyyYAANAmAADOJgAAzCYAAMwmAADMJgAAEyYAANMmAADTJgAAzyYAANMmAADWJgAA1yYAABgmAADQJgAA1CYAABkmAADZJgAA2CYAAB4mAAAeJgAAHyYAABsmAAAcJgAA2CYAANgmAADZJgAA3CYAANwmAADcJgAAJCYAAN8mAADfJgAA2yYAAN8mAAAnJgAAJyYAACgmAAAkJgAAJSYAAOAmAADgJgAA4SYAAOQmAADkJgAA5CYAAC0mAAArJgAALyYAAOcmAADoJgAAMiYAADImAAAzJgAALSYAADAmAAA0JgAANSYAADUmAAA0JgAA7CYAAO4mAADuJgAA7iYAADcmAAA1JgAA6yYAAOsmAAA4JgAAOiYAADkmAAA8JgAAOiYAAD0mAAA9JgAAPCYAAPQmAAD1JgAA9yYAAPkmAADwJgAA7iYAAO4mAADuJgAANyYAAD0mAABCJgAA9iYAAPYmAAD2JgAAQiYAAEQmAABDJgAARSYAAEQmAABGJgAARSYAAEcmAABGJgAASCYAAEcmAABJJgAASCYAAEomAABJJgAATCYAAEomAABNJgAATSYAAEwmAAAGJwAACCcAAAgnAAAIJwAACScAAFEmAABPJgAA+yYAAPsmAAAMJwAAQCYAAE0mAAAFJwAABScAAFMmAABVJgAAVCYAAFYmAABVJgAAVyYAAFYmAABYJgAAVyYAAFkmAABYJgAAWiYAAFkmAABbJgAAWiYAAAonAAAKJwAAFCcAAFAmAAAVJwAAFScAABUnAAAXJwAAYCYAAF8mAABhJgAAYCYAAGImAABhJgAAYyYAAGImAABkJgAAYyYAAGUmAABkJgAAHicAAB8nAABpJgAAIScAACEnAAAiJwAAayYAAGomAABsJgAAayYAAG0mAABsJgAAbiYAAG0mAABvJgAAbiYAAHAmAABvJgAAcSYAAHAmAAByJgAAcSYAAHMmAAByJgAAdCYAAHMmAAB1JgAAdCYAAHYmAAB1JgAAdyYAAHYmAAB4JgAAdyYAAHkmAAB4JgAAeiYAAHkmAAB7JgAAeiYAAHwmAAB7JgAAfSYAAHwmAAB+JgAAfSYAAH8mAAB+JgAAgCYAAH8mAACBJgAAgCYAAIImAACBJgAAgyYAAIImAACEJgAAgyYAAIUmAACEJgAAhiYAAIUmAACHJgAAhiYAABYnAAAWJwAAPycAAF4mAABnJgAAiSYAAIomAACJJgAAiyYAAIomAACMJgAAiyYAAEQnAABEJwAAjSYAAI0mAACRJgAAkSYAAGgmAABoJgAAaCYAACEnAABEJwAASicAAJImAACSJgAAkiYAAJImAABGJwAARicAAJAmAABHJwAASicAAE8nAACXJgAAlyYAAJcmAACXJgAAliYAAEwnAABSJwAAUycAAJgmAABPJwAAVCcAAFQnAABRJwAAVCcAAJ8mAACfJgAAoCYAAJwmAABVJwAAnSYAAFknAABYJwAAWicAAFonAABaJwAAoyYAAKEmAABYJwAAWCcAAFknAABeJwAAXCcAAFonAABaJwAAWicAAKMmAABhJwAAYScAAF0nAABhJwAAZCcAAGUnAACpJgAAXicAAKomAABiJwAAYicAAGMnAABnJwAAZScAAGQnAABkJwAAZCcAAKsmAACuJgAAZicAAGsnAABsJwAAsSYAAGcnAABtJwAAbScAAGonAABtJwAAcCcAAGwnAABrJwAAaycAAGsnAAC0JgAAbicAALUmAAB0JwAAcycAAHUnAAB2JwAAuCYAAHAnAAC5JgAAcycAAHMnAAB0JwAAeCcAAHYnAAB1JwAAdScAAHUnAAC6JgAAeycAAHsnAAB3JwAAeycAAH4nAAB/JwAAwCYAAHgnAAB8JwAAwSYAAIEnAACAJwAAgicAAH8nAAB+JwAAficAAH4nAADCJgAAwyYAAIAnAACAJwAAgScAAIYnAACHJwAAxiYAAIInAACIJwAAiCcAAIUnAACIJwAAiycAAIcnAACGJwAAhicAAIYnAADKJgAAiScAAMsmAACPJwAAjicAANEmAADRJgAA0iYAAM4mAADPJgAAjicAAI4nAACPJwAAkicAAJInAACSJwAA1yYAANUmAACRJwAAlicAAJcnAADXJgAAkicAAJgnAACYJwAAlScAAJgnAACbJwAAlycAAJYnAACWJwAAlicAANomAADbJgAAmScAAJknAACaJwAAnycAAKAnAADeJgAAmycAAKEnAAChJwAAnicAAKEnAACkJwAAoCcAAJ8nAACfJwAAnycAAOImAADjJgAA6CYAAOcmAADnJgAA5yYAAKgnAACqJwAAqycAAOYmAACkJwAA6CYAAKcnAACnJwAA6iYAAO0mAADtJgAA7CYAAK4nAACwJwAAqycAAKonAACqJwAAqicAAOkmAADtJgAArScAAK0nAADxJgAA8yYAAPImAAD1JgAA8yYAAPcmAAD1JgAAticAALcnAAC4JwAAsicAALAnAACwJwAAsCcAAPAmAAD4JgAA/CYAAP0mAAD8JgAA/iYAAP0mAAD/JgAA/iYAAAAnAAD/JgAAAScAAAAnAAACJwAAAScAAAMnAAACJwAABCcAAAMnAAAGJwAABCcAAAcnAAAHJwAABicAAMYnAADIJwAAyCcAAMknAADLJwAAyycAAMwnAAALJwAACScAALonAAC6JwAAzicAAPsmAAAHJwAAxScAAMUnAAANJwAADycAAA4nAAAQJwAADycAABEnAAAQJwAAEicAABEnAADKJwAAyicAANMnAAAUJwAAyycAAAonAADUJwAA1CcAANQnAADWJwAAGCcAABcnAAAZJwAAGCcAABonAAAZJwAAGycAABonAAAcJwAAGycAAB0nAAAcJwAA3icAAN4nAAAeJwAAHicAACInAAAhJwAAIycAACInAAAkJwAAIycAACUnAAAkJwAAJicAACUnAAAnJwAAJicAACgnAAAnJwAAKScAACgnAAAqJwAAKScAACsnAAAqJwAALCcAACsnAAAtJwAALCcAAC4nAAAtJwAALycAAC4nAAAwJwAALycAADEnAAAwJwAAMicAADEnAAAzJwAAMicAADQnAAAzJwAANScAADQnAAA2JwAANScAADcnAAA2JwAAOCcAADcnAAA5JwAAOCcAADonAAA5JwAAOycAADonAAA8JwAAOycAAD0nAAA8JwAAPicAAD0nAADVJwAA1ScAAP0nAAAWJwAA3icAAB8nAAAfJwAAQCcAAEEnAABAJwAAQicAAEEnAABDJwAAQicAAAIoAAADKAAASCcAAEcnAADgJwAABSgAAEUnAABJJwAABigAAAcoAABNJwAATScAAE0nAABHJwAACigAAAooAAALKAAATicAAAgoAABMJwAADSgAAAwoAAAOKAAADygAAFAnAAAKKAAAUScAAAwoAAAMKAAADSgAABEoAAASKAAAUycAAA4oAABWJwAAECgAABQoAAASKAAAESgAABEoAAARKAAAVycAABcoAAAXKAAAEygAABcoAABfJwAAXycAAGAnAABcJwAAXScAABgoAAAYKAAAGSgAABwoAAAcKAAAHCgAAGUnAAAfKAAAHygAABsoAAAfKAAAaCcAAGgnAABpJwAAZScAACAoAABmJwAAJCgAACMoAAAlKAAAJSgAACUoAABsJwAAaicAACMoAAAjKAAAJCgAAHEnAABxJwAAcicAAGwnAABvJwAAKCgAACsoAAArKAAAKygAAHYnAAAuKAAALigAACooAAAuKAAAeScAAHknAAB6JwAAdicAAHcnAAAvKAAALygAADAoAAAzKAAAMygAADMoAAB/JwAAfScAADIoAACDJwAAgycAAIQnAAB/JwAAOCgAADgoAAA2KAAAOCgAADsoAAA7KAAAOygAAIcnAACFJwAAOSgAADkoAAA6KAAAPygAAD0oAAA7KAAAOygAADsoAACHJwAAiicAAD4oAABDKAAARCgAAI0nAAA/KAAARSgAAEUoAABCKAAARSgAAEgoAABEKAAAQygAAEMoAABDKAAAkCcAAEYoAACRJwAATCgAAEsoAABNKAAATigAAJQnAABIKAAAlScAAEsoAABLKAAATCgAAFAoAABOKAAATSgAAE0oAABNKAAAlycAAFMoAABTKAAATygAAFMoAABWKAAAVygAAJ0nAABQKAAAnicAAKMnAAChJwAAoScAAKEnAABZKAAApScAAKUnAACmJwAAoCcAAKMnAACpJwAAqCcAAKgnAACoJwAAXSgAAF8oAABfKAAAXygAAKsnAACpJwAAXCgAAFwoAACsJwAAYigAAGMoAABkKAAAYSgAAF8oAABfKAAAXygAAKsnAACvJwAAsycAALQnAACzJwAAtScAALQnAAC2JwAAtScAALcnAAC3JwAAticAAGsoAABsKAAAbigAAHAoAABwKAAAcSgAAGYoAABkKAAAZCgAAGQoAACyJwAAtycAALwnAABtKAAAbSgAAG0oAAC8JwAAvicAAL0nAAC/JwAAvicAAMAnAAC/JwAAwScAAMAnAADCJwAAwScAAMMnAADCJwAAxCcAAMMnAADGJwAAxCcAAMcnAADHJwAAxicAAH4oAAB/KAAAgSgAAIMoAACDKAAAhCgAAIYoAACGKAAAhygAAMwnAADJJwAAcigAAHIoAACJKAAAzicAAHMoAAC6JwAAxycAANAnAACAKAAAgCgAAIAoAADQJwAAhSgAAIUoAACKKAAA0ycAAIYoAADKJwAA1icAANUnAADXJwAA1icAANgnAADXJwAA2ScAANgnAADaJwAA2ScAANsnAADaJwAA3CcAANsnAADdJwAA3CcAAJMoAACUKAAA4ScAAJYoAACWKAAAlygAAOMnAADiJwAA5CcAAOMnAADlJwAA5CcAAOYnAADlJwAA5ycAAOYnAADoJwAA5ycAAOknAADoJwAA6icAAOknAADrJwAA6icAAOwnAADrJwAA7ScAAOwnAADuJwAA7ScAAO8nAADuJwAA8CcAAO8nAADxJwAA8CcAAPInAADxJwAA8ycAAPInAAD0JwAA8ycAAPUnAAD0JwAA9icAAPUnAAD3JwAA9icAAPgnAAD3JwAA+ScAAPgnAAD6JwAA+ScAAPsnAAD6JwAA/CcAAPsnAAD9JwAA/CcAAIsoAACyKAAA3ycAAP4nAAD/JwAA/icAAAAoAAD/JwAAASgAAAAoAAC3KAAAtygAAAIoAAACKAAABSgAAAUoAADgJwAA4CcAAOAnAACWKAAAtygAAL0oAAAGKAAABigAAAYoAAAGKAAAuSgAALkoAAAEKAAAuigAAMEoAADCKAAABygAAL0oAAAJKAAAvygAAMQoAADFKAAACygAAMEoAADGKAAAxigAAMMoAADGKAAAySgAAMooAAAPKAAAxCgAAMcoAAAQKAAAzCgAAMsoAADNKAAAyigAAMkoAADJKAAAySgAABIoAAATKAAAyygAAMsoAADMKAAA0SgAANIoAAAWKAAAzSgAANMoAADTKAAA0CgAANMoAADWKAAA0igAANEoAADRKAAA0SgAABooAAAbKAAA1CgAANQoAADVKAAA2igAANsoAAAeKAAA1igAACEoAADZKAAA3SgAANsoAADaKAAA2igAANooAAAiKAAA4CgAAOAoAADcKAAA4CgAAOMoAADkKAAAJygAAN0oAADhKAAAKCgAAOYoAADlKAAA5ygAAOQoAADjKAAA4ygAAOMoAAApKAAAKigAAOUoAADlKAAA5igAAOsoAADsKAAALSgAAOcoAADtKAAA7SgAAOooAADtKAAA8CgAAOwoAADrKAAA6ygAAOsoAAAxKAAA7igAADIoAAD0KAAA8ygAAPUoAAD2KAAANSgAAPAoAAA2KAAA8ygAAPMoAAD0KAAA+CgAAPYoAAD1KAAA9SgAAPUoAAA3KAAAOigAAPcoAABAKAAAQCgAAEEoAAA9KAAA/SgAAP0oAAD7KAAA/SgAAAApAAAAKQAAACkAAEQoAABCKAAA/igAAP4oAAD/KAAASSgAAEkoAABKKAAARCgAAEcoAAADKQAABikAAAYpAAAGKQAATigAAAkpAAAJKQAABSkAAAkpAABRKAAAUSgAAFIoAABOKAAATygAAAopAAAKKQAACykAAA4pAAAOKQAADikAAFcoAABVKAAAWSgAABEpAAASKQAAEykAABQpAABXKAAADikAAFooAABdKAAAXigAAF4oAABdKAAAFykAABkpAAAUKQAAEykAABMpAAATKQAAWygAAF4oAABjKAAAYigAAGIoAABiKAAAHCkAAB0pAAAfKQAAISkAABspAAAZKQAAGSkAABkpAABhKAAAYygAAGgoAAAeKQAAHikAAB4pAABoKAAAaigAAGkoAABsKAAAaigAAG4oAABsKAAAbygAAG8oAABuKAAAKCkAACkpAAAqKQAAKykAAC0pAAAvKQAALykAAC8pAAAwKQAAIykAACMpAAAyKQAAZigAAG8oAAB2KAAAKikAAHcoAAAsKQAALCkAACwpAAB3KAAAeSgAAHgoAAB6KAAAeSgAAHsoAAB6KAAAfCgAAHsoAAB9KAAAfCgAAH8oAAB9KAAAgSgAAH8oAACCKAAAgigAAIEoAAA7KQAAOykAADwpAACHKAAAhCgAAIgoAACHKAAAMSkAADEpAAA/KQAAcigAAIIoAACFKAAAQCkAAEApAABAKQAAQikAAI0oAACMKAAAjigAAI0oAACPKAAAjigAAJAoAACPKAAAkSgAAJAoAACSKAAAkSgAAJMoAACSKAAASikAAEspAACXKAAATSkAAE0pAABOKQAAmSgAAJgoAACaKAAAmSgAAJsoAACaKAAAnCgAAJsoAACdKAAAnCgAAJ4oAACdKAAAnygAAJ4oAACgKAAAnygAAKEoAACgKAAAoigAAKEoAACjKAAAoigAAKQoAACjKAAApSgAAKQoAACmKAAApSgAAKcoAACmKAAAqCgAAKcoAACpKAAAqCgAAKooAACpKAAAqygAAKooAACsKAAAqygAAK0oAACsKAAArigAAK0oAACvKAAArigAALAoAACvKAAAsSgAALAoAABBKQAAQSkAAGcpAACLKAAAlCgAALMoAAC0KAAAsygAALUoAAC0KAAAaykAAGspAAC2KAAAtigAALsoAAC6KAAATCkAAEwpAABvKQAATSkAAGspAABxKQAAvCgAALwoAAC8KAAAvCgAAMAoAADAKAAAwCgAALooAABxKQAAdSkAAHUpAAB2KQAAcykAAL8oAAB4KQAAdykAAHkpAAB5KQAAeSkAAMUoAADDKAAAdykAAHcpAAB4KQAAfSkAAH4pAADFKAAAeSkAAMgoAAB8KQAAzigAAM4oAADPKAAAyigAAIEpAACBKQAAfykAAIEpAACEKQAAhCkAAIQpAADSKAAA0CgAAIIpAACCKQAAgykAANcoAADXKAAA2CgAANIoAADVKAAAhykAAIopAACKKQAAiikAANsoAACNKQAAjSkAAIkpAACNKQAA3igAAN4oAADfKAAA2ygAANwoAACOKQAAjikAAI8pAACSKQAAkikAAJIpAADkKAAA4igAAJEpAADoKAAA6CgAAOkoAADkKAAAlykAAJcpAACVKQAAlykAAJopAACaKQAAmikAAOwoAADqKAAAmCkAAJgpAACZKQAA8SgAAPEoAADyKAAA7CgAAO8oAACdKQAAoCkAAKApAACgKQAA9igAAKMpAACjKQAAnykAAKMpAACmKQAAoikAAKApAACgKQAAoCkAAPYoAACkKQAA9ygAAKopAACpKQAAqykAAKwpAAD6KAAApikAAPsoAACpKQAAqSkAAKopAACuKQAArCkAAKspAACrKQAAqykAAPwoAACxKQAAsSkAAK0pAACxKQAAtCkAALUpAAACKQAArikAALIpAAADKQAAtykAALYpAAC4KQAAtSkAALQpAAC0KQAAtCkAAAQpAAAFKQAACykAAAkpAAAJKQAACSkAALwpAAC+KQAAvykAAAgpAAC4KQAAuykAAAspAADBKQAAwSkAAMIpAADBKQAAxCkAAL8pAAC+KQAAvikAAL4pAAAMKQAADSkAABIpAAASKQAAxykAAMgpAADIKQAAySkAAMgpAADLKQAAzCkAABApAADEKQAAEikAABcpAADJKQAAGCkAABcpAAAXKQAAFykAAM0pAADOKQAA0CkAANIpAADMKQAAyykAAMspAADLKQAAFCkAABgpAAAfKQAAzykAACApAAAfKQAAHykAAB8pAADVKQAA1ikAANcpAADYKQAA2SkAANopAADbKQAA3CkAAN4pAADgKQAA1CkAANIpAADSKQAA0ikAABspAAAgKQAAJSkAANcpAAAmKQAA2SkAACcpAADbKQAAKSkAAN0pAADdKQAA3SkAACkpAAAtKQAAKykAAC4pAAAuKQAALSkAAOUpAADmKQAA5ykAAOgpAADpKQAA6ikAAOwpAADuKQAA7ikAAO4pAADvKQAA4ikAAOIpAADxKQAAIykAAC4pAAA0KQAA5ykAADUpAADpKQAANikAAOspAADrKQAA6ykAADYpAAA4KQAANykAADkpAAA4KQAAOikAADkpAAA8KQAAOikAAD0pAAA8KQAAPikAAD0pAADwKQAA8CkAAPgpAAAxKQAA+SkAAPkpAAD5KQAA+ykAAEMpAABCKQAARCkAAEMpAABFKQAARCkAAEYpAABFKQAARykAAEYpAABIKQAARykAAEkpAABIKQAASikAAEkpAAAEKgAABSoAAE4pAABNKQAATykAAE4pAABQKQAATykAAFEpAABQKQAAUikAAFEpAABTKQAAUikAAFQpAABTKQAAVSkAAFQpAABWKQAAVSkAAFcpAABWKQAAWCkAAFcpAABZKQAAWCkAAFopAABZKQAAWykAAFopAABcKQAAWykAAF0pAABcKQAAXikAAF0pAABfKQAAXikAAGApAABfKQAAYSkAAGApAABiKQAAYSkAAGMpAABiKQAAZCkAAGMpAABlKQAAZCkAAGYpAABlKQAA+ikAAPopAAAfKgAAQSkAAEspAABoKQAAaSkAAGgpAAAiKgAAIioAAGopAABqKQAAbikAACUqAAAlKgAAJioAAAYqAAAmKgAAIioAACgqAABwKQAAcCkAAHApAABwKQAAJCoAAG0pAAArKgAAKioAACgqAAAtKgAAdSkAAHUpAAB1KQAAdSkAACoqAAAqKgAAdCkAACsqAAB6KQAAeikAAHspAAB2KQAAMioAADIqAAAvKgAAMioAADUqAAA1KgAANSoAAH4pAAAzKgAAfCkAADkqAAA4KgAAOioAADsqAAB+KQAANSoAAH8pAAA4KgAAOCoAADkqAAA9KgAAOyoAADoqAAA6KgAAOioAAIApAACDKQAAPCoAAEEqAABCKgAAhikAAD0qAABDKgAAQyoAAEAqAABDKgAARioAAEIqAABBKgAAQSoAAEEqAACIKQAAiSkAAEQqAABEKgAARSoAAEoqAABLKgAAjCkAAEYqAACPKQAASSoAAE0qAABLKgAASioAAEoqAABKKgAAkCkAAFAqAABQKgAATCoAAFAqAABTKgAAVCoAAJQpAABNKgAAlSkAAFEqAABRKgAAUioAAFYqAABUKgAAUyoAAFMqAABTKgAAlikAAJkpAABVKgAAWioAAFsqAACcKQAAVioAAFwqAABcKgAAWSoAAFwqAABfKgAAWyoAAFoqAABaKgAAWioAAJ4pAACfKQAAXSoAAF0qAABeKgAApykAAKcpAACoKQAAoikAAKUpAABiKgAAZSoAAGUqAABlKgAArCkAAGgqAABoKgAAZCoAAGgqAACvKQAArykAALApAACsKQAArSkAAGkqAABpKgAAaioAAG0qAABtKgAAbSoAALUpAABwKgAAcCoAAGwqAABwKgAAuSkAALkpAAC6KQAAtSkAALcpAAC9KQAAvCkAALwpAAC8KQAAdSoAAHcqAAB3KgAAdyoAAL8pAAC9KQAAwykAAMEpAADBKQAAwSkAAHsqAADFKQAAxSkAAMYpAAC/KQAAwykAAMopAADIKQAAyCkAAMgpAAB+KgAAfyoAAIAqAACBKgAAgyoAAIUqAACFKgAAhSoAAMwpAADKKQAA0CkAAIAqAADRKQAA0SkAAIgqAACJKgAAiSoAAIoqAACKKgAAiSoAAIsqAACMKgAAjSoAAI4qAACPKgAAkCoAAJIqAACUKgAAhyoAAIUqAACFKgAAhSoAAMwpAADRKQAA2CkAAIoqAADaKQAAiyoAANwpAACNKgAA3ikAAI8qAADfKQAA3ykAAJcqAACYKgAAmCoAAJkqAACZKgAAmCoAAJoqAACbKgAAnCoAAJ0qAACfKgAAoSoAAJYqAACUKgAAlCoAAJQqAADUKQAA3ykAAOQpAACZKgAA5ikAAJoqAADoKQAAnCoAAOopAACeKgAAnioAAJ4qAADqKQAA7SkAAO0pAADsKQAApSoAAKYqAACnKgAAqCoAAKkqAACqKgAAqyoAAKwqAACtKgAArioAAK8qAACwKgAAsSoAALEqAACyKgAAoyoAAKMqAACzKgAA4ikAAO0pAADzKQAApyoAAPQpAACpKgAA9SkAAKsqAAD2KQAArSoAAPcpAACvKgAA+CkAALEqAADwKQAAtCoAALQqAAC0KgAAtioAAPwpAAD7KQAA/SkAAPwpAAD+KQAA/SkAAP8pAAD+KQAAACoAAP8pAAABKgAAACoAAAIqAAABKgAAAyoAAAIqAADAKgAAwCoAAAQqAAAEKgAAByoAAMMqAADDKgAAxCoAAAkqAAAIKgAACioAAAkqAAALKgAACioAAAwqAAALKgAADSoAAAwqAAAOKgAADSoAAA8qAAAOKgAAECoAAA8qAAARKgAAECoAABIqAAARKgAAEyoAABIqAAAUKgAAEyoAABUqAAAUKgAAFioAABUqAAAXKgAAFioAABgqAAAXKgAAGSoAABgqAAAaKgAAGSoAABsqAAAaKgAAHCoAABsqAAAdKgAAHCoAAB4qAAAdKgAAtSoAALUqAADaKgAA+ikAAMAqAAAFKgAABSoAACAqAADdKgAA3SoAACEqAAAhKgAAJioAACYqAAAGKgAABioAAAYqAADDKgAA3SoAAOMqAAAnKgAAJyoAACcqAAAnKgAA3yoAAN8qAAAlKgAA4CoAAOMqAADoKgAALCoAACwqAAAsKgAALCoAADAqAAAwKgAAMCoAACsqAADsKgAA7SoAAC4qAADoKgAALyoAAOoqAADqKgAA6yoAADYqAAA2KgAANyoAADEqAAA0KgAA7ioAAPEqAADxKgAA8SoAADsqAAD0KgAA9CoAAPAqAAD0KgAAPioAAD4qAAA/KgAAOyoAAPUqAAA8KgAA+SoAAPgqAAD6KgAA+ioAAPoqAABCKgAAQCoAAPgqAAD4KgAA+SoAAEcqAABHKgAASCoAAEIqAABFKgAA/SoAAAArAAAAKwAAACsAAEsqAAADKwAAAysAAP8qAAADKwAATioAAE4qAABPKgAASyoAAEwqAAAEKwAABCsAAAUrAAAIKwAACCsAAAgrAABUKgAAUioAAAcrAABXKgAAVyoAAFgqAABUKgAADSsAAA0rAAALKwAADSsAABArAAAQKwAAECsAAFsqAABZKgAADisAAA4rAAAPKwAAFCsAABIrAAAQKwAAECsAABArAABbKgAAFysAABcrAAATKwAAFysAABorAAAbKwAAYSoAABQrAAAYKwAAYioAAB0rAAAcKwAAHisAABsrAAAaKwAAGisAABorAABjKgAAZCoAAGoqAABoKgAAaCoAAGgqAAAiKwAAJCsAACUrAABnKgAAHisAACErAABqKgAAJysAACcrAAAoKwAAJysAACorAAAlKwAAJCsAACQrAAAkKwAAayoAAGwqAAByKgAAcioAAC0rAAAuKwAALisAAC8rAAAuKwAAMSsAADIrAABvKgAAKisAAHIqAAB2KgAAdioAADMrAAA0KwAANCsAADUrAAA1KwAANCsAADcrAAA5KwAAMisAADErAAAxKwAAMSsAAHMqAAB2KgAAfCoAAHwqAAA8KwAANisAAD0rAAA+KwAAPisAAD8rAAA/KwAAPisAAEArAABBKwAAQisAAEMrAABFKwAARysAAEgrAAB5KgAAOSsAAHwqAACBKgAAPSsAAIMqAAA/KwAAhCoAAIQqAABJKwAAQisAAEorAABEKwAASysAAEwrAABMKwAATSsAAE0rAABMKwAATisAAE8rAABRKwAAUysAAEgrAABHKwAARysAAEcrAAB9KgAAhCoAAIwqAABKKwAAjioAAEsrAACQKgAATSsAAJIqAABOKwAAkyoAAJMqAABWKwAAVysAAFcrAABYKwAAWCsAAFcrAABZKwAAWisAAFsrAABcKwAAXisAAGArAABVKwAAUysAAFMrAABTKwAAhyoAAJMqAACbKgAAWCsAAJ0qAABZKwAAnyoAAFsrAACgKgAAoCoAAGMrAABkKwAAZCsAAGUrAABlKwAAZCsAAGYrAABnKwAAaCsAAGkrAABqKwAAaysAAGwrAABtKwAAbisAAG8rAABwKwAAcSsAAGIrAABgKwAAYCsAAGArAACWKgAAoCoAAKYqAABlKwAAqCoAAGYrAACqKgAAaCsAAKwqAABqKwAArioAAGwrAACwKgAAbisAALIqAABwKwAAsyoAAHIrAACjKgAAdCsAAHQrAAB2KwAAeCsAAHcrAAB6KwAAeSsAAHwrAAB7KwAAfisAAH0rAACAKwAAgCsAAH8rAAC3KgAAtioAALgqAAC3KgAAuSoAALgqAAC6KgAAuSoAALsqAAC6KgAAvCoAALsqAAC9KgAAvCoAAL4qAAC9KgAAiisAAIorAAC/KgAAvyoAAMQqAACNKwAAjSsAAI4rAADGKgAAxSoAAMcqAADGKgAAyCoAAMcqAADJKgAAyCoAAMoqAADJKgAAyyoAAMoqAADMKgAAyyoAAM0qAADMKgAAzioAAM0qAADPKgAAzioAANAqAADPKgAA0SoAANAqAADSKgAA0SoAANMqAADSKgAA1CoAANMqAAB1KwAAdSsAAJ0rAADWKgAAeCsAANcqAAB6KwAA2CoAAHwrAADZKgAAfisAANoqAACAKwAAtSoAAIorAADBKgAAwSoAANsqAADcKgAA2yoAAKArAAChKwAA4SoAAOEqAADDKgAAwyoAAMMqAACNKwAApSsAAKUrAACmKwAA4ioAAOYqAADmKgAA4CoAAOAqAADgKgAAoysAAKUrAACrKwAA5yoAAOcqAADnKgAA5yoAAKcrAADlKgAArisAAK0rAACvKwAAsCsAAOkqAACrKwAArSsAAOsqAACyKwAAsSsAALMrAAC0KwAA7SoAAK8rAACxKwAA7ioAALYrAAC1KwAAtysAALQrAACzKwAAsysAALMrAADvKgAA8CoAALUrAAC1KwAAtisAALsrAAC8KwAA8yoAALcrAAD2KgAAuisAAL4rAAC8KwAAuysAALsrAAC7KwAA9yoAAMErAADBKwAAvSsAAMErAADEKwAAxSsAAPwqAAC+KwAAwisAAP0qAADHKwAAxisAAMgrAADFKwAAxCsAAMQrAADEKwAA/ioAAP8qAADGKwAAxisAAMcrAADMKwAAzSsAAAIrAADIKwAAzisAAM4rAADLKwAAzisAANErAADNKwAAzCsAAMwrAADMKwAABisAAM8rAAAHKwAA1SsAANQrAADWKwAA1ysAAAorAADRKwAACysAANQrAADUKwAA1SsAANkrAADXKwAA1isAANYrAADWKwAADCsAANwrAADcKwAA2CsAANwrAAAVKwAAFSsAABYrAAASKwAAEysAAN0rAADdKwAA3isAAOErAADhKwAA4SsAABsrAADkKwAA5CsAAOArAADkKwAAHysAAB8rAAAgKwAAGysAAB0rAAAjKwAAIisAACIrAAAiKwAA6SsAAOsrAADrKwAA6ysAACUrAAAjKwAAKSsAACcrAAAnKwAAJysAAO4rAADvKwAA8SsAACsrAAArKwAALCsAACUrAAApKwAAMCsAADArAAD0KwAA9SsAAPUrAAD2KwAA9isAAPUrAAD4KwAA+isAAPorAAD6KwAAMisAADArAAA3KwAA9isAADgrAAA4KwAA/SsAAP4rAAD+KwAA/ysAAP8rAAD+KwAAACwAAAEsAAACLAAAAywAAAQsAAAFLAAABywAAAksAAD8KwAA+isAAPorAAD6KwAAMisAADgrAABBKwAA/ysAAEMrAAAALAAARSsAAAIsAABGKwAARisAAAwsAAAGLAAADSwAAA4sAAAOLAAADywAAA8sAAAOLAAAECwAABEsAAASLAAAEywAABUsAAAXLAAAGCwAADsrAAAJLAAARisAAE8rAAANLAAAUSsAAA8sAABSKwAAUisAABksAAASLAAAGiwAABQsAAAbLAAAHCwAABwsAAAdLAAAHSwAABwsAAAeLAAAHywAACEsAAAjLAAAIywAACQsAAAYLAAAFywAABcsAAAXLAAASCsAAFIrAABaKwAAGiwAAFwrAAAbLAAAXisAAB0sAABfKwAAXysAACgsAAAgLAAAKSwAACosAAAqLAAAKywAACssAAAqLAAALCwAAC0sAAAuLAAALywAADAsAAAxLAAAJSwAACUsAAAjLAAAYSsAAGErAAAmLAAAVSsAAF8rAABnKwAAKSwAAGkrAAArLAAAaysAACwsAABtKwAALiwAAG8rAAAwLAAAcSsAADIsAABzKwAANCwAAGIrAAA1LAAANSwAADUsAAA3LAAAdysAAHYrAAB5KwAAdysAAHsrAAB5KwAAfSsAAHsrAAB/KwAAfSsAAIErAAB/KwAAgisAAIErAACDKwAAgisAAIQrAACDKwAAhSsAAIQrAACGKwAAhSsAAIcrAACGKwAAiCsAAIcrAABGLAAARiwAAIkrAACJKwAAjisAAEksAABJLAAASiwAAJArAACPKwAAkSsAAJArAACSKwAAkSsAAJMrAACSKwAAlCsAAJMrAACVKwAAlCsAAJYrAACVKwAAlysAAJYrAACYKwAAlysAAJkrAACYKwAAmisAAJkrAACbKwAAmisAAJwrAACbKwAANiwAADYsAABXLAAAdSsAAEYsAACLKwAAiysAAJ4rAACfKwAAnisAAFssAABbLAAAoCsAAKArAACkKwAApCsAAI0rAACNKwAAjSsAAEksAABbLAAAYCwAAGAsAABhLAAAqSsAAKkrAACjKwAAoysAAKMrAABeLAAAZSwAAGUsAABmLAAAqisAAGIsAACoKwAAaCwAAGcsAABpLAAAaiwAAKwrAABlLAAAZywAAK4rAABsLAAAaywAAG0sAABuLAAAsCsAAGksAABrLAAAsisAAHAsAABvLAAAcSwAAG4sAABtLAAAbSwAAG0sAAC0KwAAbywAALYrAAB1LAAAdCwAAHYsAAB3LAAAuSsAAHEsAAB0LAAAuisAAHksAAB4LAAAeiwAAHcsAAB2LAAAdiwAAHYsAAC8KwAAvSsAAHgsAAB4LAAAeSwAAH4sAAB/LAAAwCsAAHosAADDKwAAfSwAAMkrAADJKwAAyisAAMUrAACCLAAAgiwAAIAsAACCLAAAhSwAAIUsAACFLAAAzSsAAMsrAACDLAAAgywAAIQsAADSKwAA0isAANMrAADNKwAA0CsAAIgsAACLLAAAiywAAIssAADXKwAAjiwAAI4sAACKLAAAjiwAANorAADaKwAA2ysAANcrAADYKwAAjywAAI8sAACQLAAAkywAAJMsAACTLAAA3ysAAJYsAACWLAAAkiwAAJYsAACZLAAAlSwAAJMsAACTLAAAkywAAN8rAADgKwAA5isAAOQrAADkKwAA5CsAAJwsAACdLAAAnywAAKEsAACiLAAA4ysAAJksAADmKwAA6isAAOorAACjLAAApCwAAKQsAAClLAAApCwAAKcsAACiLAAAoSwAAKEsAAChLAAA5ysAAOorAADxKwAApSwAAPIrAADxKwAA8SsAAPErAACqLAAAqywAAKwsAACtLAAAriwAAK8sAACxLAAAsywAALQsAADtKwAApywAAPIrAAD4KwAArCwAAPkrAAD5KwAAtSwAALAsAAC2LAAAtywAALcsAAC4LAAAuCwAALcsAAC5LAAAuiwAALssAAC8LAAAvSwAAL4sAAC/LAAAwCwAAMIsAADELAAAtCwAALMsAACzLAAAsywAAPMrAAD5KwAAASwAALYsAAADLAAAuCwAAAUsAAC5LAAABywAALssAAAILAAACCwAAMcsAAC/LAAAyCwAAMEsAADJLAAAyiwAAMosAADLLAAAyywAAMosAADMLAAAzSwAAM8sAADRLAAAxiwAAMQsAADELAAAxCwAAPwrAAAILAAAESwAAMgsAAATLAAAySwAABUsAADLLAAAFiwAABYsAADULAAAziwAANUsAADWLAAA1iwAANcsAADXLAAA1iwAANgsAADZLAAA2iwAANssAADcLAAA3SwAAN4sAADfLAAA4CwAAOEsAADTLAAA0ywAANEsAAALLAAA0SwAABYsAAAfLAAA1SwAACEsAADXLAAAIiwAACIsAADlLAAA2iwAAOYsAADcLAAA5ywAAN4sAADoLAAA4CwAAOksAAAkLAAAJCwAAOIsAAAnLAAA5CwAABgsAAAiLAAALSwAAOYsAAAvLAAA5ywAADEsAADoLAAAMywAAOksAAAlLAAANywAADYsAAA4LAAANywAADksAAA4LAAAOiwAADksAAA7LAAAOiwAADwsAAA7LAAAPSwAADwsAAA+LAAAPSwAAD8sAAA+LAAAQCwAAD8sAABBLAAAQCwAAEIsAABBLAAAQywAAEIsAABELAAAQywAAPksAAD5LAAARSwAAEUsAABKLAAASiwAAPssAAD9LAAA/SwAAP4sAABNLAAATCwAAE4sAABNLAAATywAAE4sAABQLAAATywAAFEsAABQLAAAUiwAAFEsAABTLAAAUiwAAFQsAABTLAAAVSwAAFQsAABWLAAAVSwAAFcsAABWLAAA6iwAAAktAAD5LAAARywAAEcsAABYLAAADC0AAAwtAABZLAAAWSwAAAwtAABaLAAAXywAAF8sAABJLAAASSwAAEksAAD8LAAAEi0AAP0sAAAMLQAAEy0AABMtAAAMLQAAXCwAAFwsAAAOLQAAYCwAAGQsAABkLAAAXiwAAF4sAABeLAAAEC0AABUtAAAaLQAAGi0AABUtAABhLAAAFi0AABctAABjLAAAHi0AAB0tAAAfLQAAIC0AAGYsAAAcLQAAHS0AAGgsAAAiLQAAIS0AACMtAAAkLQAAaiwAAB8tAAAhLQAAbCwAACYtAAAlLQAAciwAAHIsAABzLAAAbiwAACUtAABwLAAAKS0AACgtAAAqLQAAKi0AACotAAB3LAAAKC0AAHUsAAAuLQAALS0AAHssAAB7LAAAfCwAAHcsAAAtLQAAeSwAADEtAAAwLQAAMi0AADItAAAyLQAAfywAADAtAAB9LAAANi0AADUtAAA3LQAAOC0AAH8sAAAyLQAAgCwAADUtAAA1LQAANi0AADotAAA4LQAANy0AADctAAA3LQAAgSwAAD0tAAA9LQAAOS0AAD0tAABALQAAQS0AAIcsAAA6LQAAPi0AAIgsAABDLQAAQi0AAEQtAABBLQAAQC0AAEAtAABALQAAiSwAAIosAACQLAAAjiwAAI4sAACOLAAASC0AAEotAABLLQAAjSwAAEQtAABHLQAAkCwAAE0tAABNLQAATi0AAE0tAABQLQAASy0AAEotAABKLQAASi0AAJEsAACSLAAAmCwAAJgsAABTLQAAVC0AAFQtAABVLQAAVC0AAJosAACaLAAAmywAAJUsAACYLAAAnywAAFUtAACgLAAAnywAAJ8sAACfLAAAWC0AAFktAABbLQAAXS0AAF0tAABdLQAAoiwAAKAsAACmLAAApiwAAGAtAABhLQAAYS0AAGItAABiLQAAYS0AAGMtAABkLQAAZS0AAGYtAABnLQAAaC0AAGktAABqLQAAbC0AAKgsAACoLAAAqSwAAKIsAACmLAAArSwAAGItAACvLAAAYy0AALEsAABlLQAAsiwAALIsAABvLQAAaS0AAHAtAABrLQAAcS0AAHItAAByLQAAcy0AAHMtAAByLQAAdC0AAHUtAAB2LQAAdy0AAHktAAB7LQAAey0AAHstAAC0LAAAsiwAALosAABwLQAAvCwAAHEtAAC+LAAAcy0AAMAsAAB0LQAAwiwAAHYtAADDLAAAwywAAH4tAAB/LQAAfy0AAIAtAACALQAAfy0AAIEtAACCLQAAgy0AAIQtAACGLQAAiC0AAIgtAACJLQAAfS0AAHstAAB7LQAAey0AALQsAADDLAAAzSwAAIAtAADPLAAAgS0AANAsAADQLAAAjS0AAIUtAACOLQAAjy0AAI8tAACQLQAAkC0AAI8tAACRLQAAki0AAJMtAACULQAAii0AAIotAACILQAA0iwAANIsAACLLQAAxiwAANAsAADZLAAAji0AANssAACQLQAA3SwAAJEtAADfLAAAky0AAOEsAACVLQAA4ywAAJctAADTLAAA6ywAAOssAACYLQAA7CwAAJktAACbLQAAmy0AAJwtAADvLAAA7iwAAPAsAADvLAAA8SwAAPAsAADyLAAA8SwAAPMsAADyLAAA9CwAAPMsAAD1LAAA9CwAAPYsAAD1LAAApS0AAKUtAAD3LAAA9ywAAKUtAAD4LAAA/iwAAP4sAACoLQAA/ywAAKktAAAALQAAqi0AAAEtAACrLQAArS0AAK0tAACuLQAABC0AAAMtAAAFLQAABC0AAAYtAAAFLQAABy0AAAYtAAAILQAABy0AAAktAAAILQAAmC0AAJgtAAC1LQAAmS0AALYtAACaLQAAty0AAJstAAClLQAApy0AALktAAD6LAAA+iwAAAotAAC7LQAAuy0AAAstAAALLQAAES0AABEtAAC9LQAAEi0AAP0sAAD9LAAA/SwAAKktAADBLQAAqi0AAMItAACrLQAAwy0AAKwtAADELQAArS0AALstAADGLQAAEy0AABMtAAATLQAAEy0AABktAAAZLQAAGS0AAMgtAADKLQAAyi0AAMktAAC/LQAAxi0AAM0tAAAaLQAAGi0AABotAAAaLQAAyC0AABgtAADJLQAA0C0AANEtAADQLQAA0i0AANMtAAAbLQAAzS0AAM8tAAAeLQAA1S0AANUtAADULQAA0S0AANctAADYLQAAIC0AANItAADULQAAIi0AANotAADZLQAA2y0AANwtAAAkLQAA1y0AANktAAAmLQAA3i0AAN0tAADfLQAA3C0AANstAADbLQAA2y0AACctAADdLQAAKS0AAOMtAADiLQAA5C0AAOUtAAAsLQAA3y0AAOItAAAuLQAA5y0AAOYtAAAzLQAAMy0AADQtAAAvLQAA5i0AADEtAADqLQAA6S0AAOstAADrLQAA6y0AADgtAADpLQAANi0AAO8tAADuLQAAOy0AADstAAA8LQAAOC0AADktAAA/LQAAPS0AAD0tAAA9LQAA8i0AAPQtAAD0LQAA9C0AAEEtAADxLQAAPy0AAPgtAAD3LQAARS0AAEUtAABGLQAAQS0AAEMtAABJLQAASC0AAEgtAABILQAA+y0AAP0tAAD9LQAA/S0AAEstAABJLQAATy0AAE0tAABNLQAATS0AAAEuAABRLQAAUS0AAFItAABLLQAATy0AAFYtAABULQAAVC0AAFQtAAAELgAABS4AAAYuAAAHLgAACS4AAAsuAAALLgAACy4AAFctAABWLQAAWy0AAAYuAABcLQAAXC0AAA4uAAAPLgAADy4AABAuAAAQLgAADy4AABEuAAASLgAAEy4AABQuAAAVLgAAFi4AABcuAAAYLgAAGS4AABouAAAcLgAAHi4AAA0uAAALLgAACy4AAAsuAABXLQAAXC0AAGQtAAAQLgAAZi0AABEuAABoLQAAEy4AAGotAAAVLgAAbC0AABcuAABtLQAAbS0AACEuAAAbLgAAIi4AACMuAAAjLgAAJC4AACQuAAAjLgAAJS4AACYuAAAnLgAAKC4AACouAAAsLgAAIC4AACAuAAAeLgAAXy0AAB4uAABtLQAAdS0AACIuAAB3LQAAJC4AAHktAAAlLgAAei0AAHotAAAwLgAAKS4AADEuAAAyLgAAMi4AADMuAAAzLgAAMi4AADQuAAA1LgAANi4AADcuAAA4LgAAOS4AADouAAA7LgAAPC4AAD0uAAAuLgAALi4AACwuAAB8LQAAfC0AAC8uAABuLQAAei0AAIItAAAxLgAAhC0AADMuAACGLQAANC4AAIctAACHLQAAQS4AADguAABCLgAAOi4AAEMuAAA8LgAARC4AAIktAACJLQAAPi4AAIwtAABALgAAfS0AAIctAACSLQAAQi4AAJQtAABDLgAAli0AAEQuAACKLQAAnC0AAJwtAABFLgAAnS0AAEYuAACeLQAARy4AAJ8tAABILgAAoC0AAEkuAAChLQAASi4AAKItAABLLgAAoy0AAEwuAACkLQAAri0AAK4tAABOLgAAry0AAE8uAACwLQAAUC4AALEtAABRLgAAsi0AAFIuAACzLQAAUy4AAFUuAABVLgAAVi4AALYtAAC1LQAAty0AALYtAABFLgAARS4AAFkuAABGLgAAWi4AAEcuAABbLgAASC4AAFwuAABJLgAAXS4AAEouAABeLgAASy4AAF8uAABMLgAAYC4AAE0uAABhLgAApi0AAKYtAAC4LQAAYy4AAGMuAAC5LQAAuS0AAGMuAAC6LQAAwC0AAMAtAABmLgAAwS0AAGcuAADCLQAAaC4AAMMtAABpLgAAxC0AAMQtAABqLgAATy4AAGwuAABQLgAAbS4AAG4uAABuLgAAbS4AAFIuAABwLgAAUy4AAHEuAABULgAAci4AAFUuAABjLgAAcy4AAHMuAABjLgAAvC0AALwtAABlLgAAxS0AAMstAADLLQAAyy0AAHcuAABnLgAAeS4AAGguAAB6LgAAey4AAHsuAAB6LgAAai4AAH0uAABrLgAAfi4AAGwuAAB/LgAAbS4AAIAuAABuLgAAdS4AAIEuAACBLgAAdS4AAMctAADHLQAAdi4AAMwtAAB3LgAAyi0AAHguAACGLgAAhy4AAIcuAACGLgAAei4AAIkuAAB7LgAAii4AAIsuAACELgAAjC4AAM4tAACELgAA1i0AANYtAADWLQAAjS4AAI8uAACPLgAAji4AAIcuAACRLgAAki4AAIwuAACTLgAA0y0AAIwuAACNLgAA1S0AAI4uAACVLgAAli4AAJUuAACXLgAAmC4AAJMuAACZLgAA2C0AAJMuAACULgAA2i0AAJsuAACbLgAAmi4AAJYuAACdLgAAni4AAOAtAADgLQAAmS4AANwtAACaLgAA3i0AAKAuAACfLgAAoS4AAKIuAADhLQAAnS4AAJ8uAADjLQAApC4AAKMuAAClLgAApi4AAOUtAAChLgAAoy4AAOctAACoLgAAqC4AAKkuAACoLgAAqy4AAKYuAAClLgAApS4AAKUuAADoLQAApy4AAOotAACpLgAAry4AALAuAACvLgAAsS4AALIuAADtLQAAqy4AAO8tAADzLQAA8y0AALMuAAC0LgAAsy4AALUuAACyLgAAsS4AALEuAACxLgAA8C0AALMuAADzLQAAuS4AALkuAAC6LgAAuS4AALwuAAC9LgAA9i0AALUuAAD4LQAA/C0AAPwtAAC+LgAAvy4AAL8uAADALgAAvy4AAMIuAAC9LgAAvC4AALwuAAC8LgAA+S0AAPwtAAACLgAAAi4AAMUuAADGLgAAxi4AAMcuAADHLgAAxi4AAMguAADJLgAAyy4AAM0uAADOLgAA/y0AAMIuAAACLgAABy4AAMcuAAAJLgAAyC4AAAouAAAKLgAAzy4AANAuAADQLgAA0S4AANEuAADQLgAA0i4AANMuAADULgAA1S4AANYuAADXLgAA2C4AANkuAADaLgAA2y4AAN0uAADfLgAAzi4AAM0uAADNLgAAzS4AAAMuAAAKLgAAEi4AANEuAAAULgAA0i4AABYuAADULgAAGC4AANYuAAAaLgAA2C4AABwuAADaLgAAHS4AAB0uAADiLgAA4y4AAOMuAADkLgAA5C4AAOMuAADlLgAA5i4AAOcuAADoLgAA6i4AAOwuAADsLgAA7S4AAOEuAADfLgAA3y4AAN8uAAANLgAAHS4AACYuAADkLgAAKC4AAOUuAAAqLgAA5y4AACsuAAArLgAA8S4AAPIuAADyLgAA8y4AAPMuAADyLgAA9C4AAPUuAAD2LgAA9y4AAPguAAD5LgAA7i4AAO4uAADsLgAALS4AAC0uAADvLgAAIC4AACsuAAA1LgAA8y4AADcuAAD0LgAAOS4AAPYuAAA7LgAA+C4AAD0uAAD6LgAAPy4AAPwuAAAuLgAAVi4AAFYuAAD9LgAAVy4AAP4uAABYLgAA/y4AAFkuAAAALwAAWi4AAAEvAABbLgAAAi8AAFwuAAADLwAAXS4AAAQvAABeLgAABS8AAF8uAAAGLwAAYC4AAAcvAABhLgAACC8AAGIuAABvLgAAby4AAAovAABwLgAACy8AAHEuAAAMLwAAci4AAHIuAAANLwAA/i4AAA8vAAD/LgAAEC8AAAAvAAARLwAAAS8AABIvAAACLwAAEy8AABQvAAAULwAAEy8AAAQvAAAWLwAABS8AABcvAAAGLwAAGC8AAAcvAAAZLwAACC8AABovAAAaLwAAGi8AAAgvAABkLgAAZC4AAAkvAABzLgAAfC4AAHwuAAAeLwAAfS4AAB8vAAB+LgAAIC8AAH8uAAAhLwAAgC4AAIAuAAAiLwAACy8AACQvAAAMLwAAJS8AAA0vAAAmLwAADi8AACcvAAAoLwAAKC8AACcvAAAQLwAAKi8AABEvAAArLwAAEi8AACwvAAATLwAALS8AABQvAAAcLwAALi8AAC4vAAAcLwAAdC4AAHQuAAAdLwAAgS4AAIguAACILgAAMi8AAIkuAACJLgAAMy8AAB8vAAA1LwAAIC8AADYvAAAhLwAANy8AACIvAAA4LwAAIy8AADkvAAA6LwAAOi8AADkvAAAlLwAAPC8AACYvAAA9LwAAJy8AAD4vAAAoLwAAPy8AAEAvAAAxLwAAQS8AAIIuAAAxLwAAkC4AAJAuAACQLgAAQi8AADMvAABELwAANC8AAEUvAAA1LwAARi8AAEcvAABHLwAARi8AADcvAABJLwAAOC8AAEovAAA5LwAASy8AADovAAA/LwAATC8AAEwvAAA/LwAAiy4AAEEvAABCLwAAjy4AAEMvAABQLwAAUS8AAFEvAABQLwAARS8AAFMvAABGLwAAVC8AAEcvAABVLwAAVi8AAJIuAABOLwAAnC4AAJwuAACcLgAAVy8AAFkvAABZLwAAWC8AAFEvAABbLwAAXC8AAJguAABVLwAAVy8AAJsuAABYLwAAXi8AAF8vAABeLwAAYC8AAFwvAABcLwAAWy8AAJ4uAABbLwAAXS8AAKAuAABeLwAAZS8AAGYvAABlLwAAZy8AAGgvAABjLwAAaS8AAKIuAABjLwAApC4AAKouAACqLgAAai8AAGsvAABqLwAAbC8AAG0vAACsLgAArC4AAGkvAACmLgAAai8AAKouAABvLwAAbi8AAHAvAABxLwAArS4AAGwvAABuLwAAsC4AAHMvAABzLwAAdC8AAHMvAAB2LwAAcS8AAHAvAABwLwAAcC8AALIuAAC0LgAAuy4AALsuAAB5LwAAei8AAHovAAB7LwAAei8AAH0vAAB+LwAAty4AAHYvAAC7LgAAwS4AAMEuAAB/LwAAgC8AAIAvAACBLwAAgS8AAIAvAACCLwAAgy8AAIQvAACFLwAAhy8AAIkvAAB+LwAAfS8AAH0vAAB9LwAAvS4AAMEuAADJLgAAgS8AAMsuAACCLwAAzC4AAMwuAACMLwAAhi8AAI0vAACOLwAAji8AAI8vAACPLwAAji8AAJAvAACRLwAAki8AAJMvAACULwAAlS8AAJYvAACXLwAAmS8AAJsvAACLLwAAiy8AAIkvAADELgAAiS8AAMwuAADTLgAAjS8AANUuAACPLwAA1y4AAJAvAADZLgAAki8AANsuAACULwAA3S4AAJYvAADeLgAA3i4AAJ8vAACgLwAAoC8AAKEvAAChLwAAoC8AAKIvAACjLwAApC8AAKUvAACnLwAAqS8AAKkvAACqLwAAnS8AAJ0vAACbLwAA4C4AAOAuAACeLwAAzi4AAN4uAADmLgAAoS8AAOguAACiLwAA6i4AAKQvAADrLgAA6y4AAK8vAACwLwAAsC8AALEvAACxLwAAsC8AALIvAACzLwAAqy8AAKsvAACpLwAA7S4AAO0uAACsLwAA8C4AAK4vAADhLgAA6y4AAPUuAACxLwAA9y4AALIvAAD5LgAAtC8AAPsuAAC2LwAA7i4AABUvAAAVLwAAty8AABYvAAC4LwAAFy8AALkvAAAYLwAAui8AABkvAAC7LwAAGi8AACkvAAApLwAAvS8AACovAAC+LwAAKy8AAL8vAAAsLwAAwC8AAC0vAAAtLwAAwS8AALgvAADDLwAAuS8AAMQvAAC6LwAAxS8AALsvAADGLwAAvC8AAMcvAAAbLwAAGy8AALwvAAAuLwAAOy8AADsvAADJLwAAPC8AAMovAAA9LwAAyy8AAD4vAAA+LwAAzC8AAL4vAADOLwAAvy8AAM8vAADALwAA0C8AAMEvAADRLwAAwi8AANIvAADDLwAA0y8AAMQvAADULwAAxS8AANUvAADGLwAA1i8AAMcvAADXLwAAyC8AANgvAAAvLwAAyC8AAEgvAABILwAA2S8AAEkvAADaLwAASi8AANsvAABLLwAASy8AANwvAADKLwAA3i8AAMsvAADfLwAAzC8AAOAvAADNLwAA4S8AAM4vAADiLwAAzy8AAOMvAADkLwAA5C8AAOMvAADRLwAA5i8AANIvAADnLwAA0y8AAOgvAADULwAA6S8AANUvAADqLwAA1i8AAOsvAADrLwAA6y8AANYvAADYLwAA7i8AAEAvAABALwAA2C8AAEwvAABSLwAAUi8AAPAvAABTLwAA8S8AAFQvAABULwAA8i8AANovAAD0LwAA2y8AAPUvAADcLwAA9i8AAN0vAAD3LwAA3i8AAPgvAADfLwAA+S8AAPovAAD6LwAA+S8AAOEvAAD8LwAA4i8AAP0vAADjLwAA/i8AAOQvAADtLwAA/y8AAP8vAADtLwAA7y8AAAIwAABNLwAA7y8AAFovAABaLwAAWi8AAAMwAADxLwAABTAAAPIvAAAGMAAA8y8AAAcwAAD0LwAACDAAAPUvAAAJMAAACjAAAAowAAAJMAAA9y8AAAwwAAD4LwAADTAAAPkvAAAOMAAA+i8AAA8wAAAQMAAAAjAAABEwAABWLwAAAjAAAAMwAABZLwAABDAAABMwAAAFMAAAFDAAABUwAAAVMAAAFDAAAAcwAAAXMAAACDAAABgwAAAJMAAAGTAAAAowAAAaMAAAGzAAAGEvAABhLwAAETAAAFwvAAASMAAAXy8AABMwAAAdMAAAHjAAAB4wAAAdMAAAFTAAACAwAAAbMAAAGzAAABowAABiLwAAGjAAABwwAABmLwAAHTAAACUwAAAmMAAAJTAAACcwAAAoMAAAIzAAACkwAABoLwAAIzAAACQwAABrLwAAJTAAACswAAAsMAAALDAAAC0wAAAsMAAALzAAADAwAAApMAAAMTAAAG0vAAApMAAAby8AAHUvAAB1LwAAMjAAAC0wAAAzMAAANDAAADQwAAA1MAAANTAAADQwAAA3MAAAOTAAADAwAAAwMAAALzAAAHcvAAB3LwAAMTAAAHEvAAB1LwAAfC8AAHwvAAA9MAAANTAAAD4wAAA2MAAAPzAAAEAwAABAMAAAQTAAAEEwAABAMAAAQjAAAEMwAABEMAAARTAAAEcwAABJMAAASjAAADwwAABLMAAAeC8AADwwAAB8LwAAgy8AAD4wAACFLwAAPzAAAIcvAABBMAAAiC8AAIgvAABMMAAARDAAAE0wAABGMAAATjAAAE8wAABPMAAAUDAAAFAwAABPMAAAUTAAAFIwAABTMAAAVDAAAFYwAABYMAAASjAAAEowAABJMAAAii8AAIovAABLMAAAfi8AAIgvAACRLwAATTAAAJMvAABOMAAAlS8AAFAwAACXLwAAUTAAAJkvAABTMAAAmi8AAJovAABcMAAAXTAAAF0wAABeMAAAXjAAAF0wAABfMAAAYDAAAGEwAABiMAAAYzAAAGQwAABlMAAAZjAAAGcwAABoMAAAWjAAAFowAABYMAAAnC8AAJwvAABbMAAAiy8AAJovAACjLwAAXjAAAKUvAABfMAAApy8AAGEwAACoLwAAqC8AAGwwAABlMAAAbTAAAGcwAABuMAAAqi8AAKovAABpMAAArS8AAGswAACdLwAAqC8AALMvAABtMAAAtS8AAG4wAACrLwAA5S8AAOUvAABvMAAA5i8AAHAwAADnLwAAcTAAAOgvAAByMAAA6S8AAHMwAADqLwAAdDAAAOsvAAD7LwAA+y8AAHYwAAD8LwAAdzAAAP0vAAB4MAAA/i8AAP4vAAB5MAAAcDAAAHswAABxMAAAfDAAAHIwAAB9MAAAczAAAH4wAAB0MAAAfzAAAHUwAACAMAAA7C8AAOwvAAB1MAAA/y8AAAswAAALMAAAgjAAAAwwAACDMAAADTAAAIQwAAAOMAAADjAAAIUwAAB3MAAAhzAAAHgwAACIMAAAeTAAAIkwAAB6MAAAijAAAHswAACLMAAAfDAAAIwwAAB9MAAAjTAAAH4wAACOMAAAfzAAAI8wAACAMAAAkDAAAIEwAACRMAAAADAAAIEwAAAWMAAAFjAAAJIwAAAXMAAAkzAAABgwAACUMAAAGTAAABkwAACVMAAAgzAAAJcwAACEMAAAmDAAAIUwAACZMAAAhjAAAJowAACHMAAAmzAAAIgwAACcMAAAnTAAAJ0wAACcMAAAijAAAJ8wAACLMAAAoDAAAIwwAAChMAAAjTAAAKIwAACOMAAAozAAAKMwAACjMAAAjjAAAJAwAACmMAAAkTAAAKcwAAAQMAAAkTAAAB8wAAAfMAAAHzAAAKgwAACTMAAAqjAAAJQwAACrMAAAlTAAAKwwAACWMAAArTAAAJcwAACuMAAAmDAAAK8wAACZMAAAsDAAAJowAACxMAAAsjAAALIwAACxMAAAnDAAALQwAACdMAAAtTAAALYwAACmMAAAtzAAACEwAAAhMAAApzAAABswAACoMAAAHjAAAKkwAAC5MAAAqjAAALowAACrMAAAuzAAAKwwAAC8MAAArTAAAL0wAACuMAAAvjAAAK8wAAC/MAAAwDAAAMAwAAC/MAAAsTAAAMIwAACyMAAAwzAAAMQwAAC3MAAAxTAAACIwAAC3MAAAJjAAAC4wAAAuMAAAxjAAALowAADHMAAAuzAAAMgwAAC8MAAAyTAAAL0wAADKMAAAvjAAAMswAAC/MAAAzDAAAM0wAADMMAAAzjAAAM8wAADFMAAA0DAAACgwAADFMAAALjAAADcwAADHMAAAODAAADgwAADRMAAAyTAAANIwAADKMAAA0zAAAMswAADUMAAAzDAAANUwAADWMAAA1jAAANcwAADXMAAA1jAAANgwAADZMAAA2zAAAN0wAADPMAAAzzAAAM4wAAA6MAAAOjAAANAwAAAwMAAAODAAAEMwAADSMAAARTAAANMwAABHMAAA1DAAAEgwAABIMAAA4TAAANcwAADiMAAA2DAAAOMwAADaMAAA5DAAAOUwAADlMAAA5jAAAOYwAADlMAAA5zAAAOgwAADqMAAA7DAAAN8wAADfMAAA3TAAAOAwAADwMAAAOzAAAOAwAABIMAAAUjAAAOIwAABUMAAA4zAAAFYwAADkMAAAVzAAAFcwAADxMAAA5zAAAPIwAADpMAAA8zAAAPQwAAD0MAAA9TAAAPUwAAD0MAAA7jAAAO4wAADsMAAA7zAAAPkwAABZMAAAWTAAAPAwAABKMAAAVzAAAGAwAADyMAAAYjAAAPMwAABkMAAA9TAAAGYwAAD2MAAAaDAAAPgwAABqMAAA+TAAAFowAACeMAAAnjAAAPowAACfMAAA+zAAAKAwAAD8MAAAoTAAAP0wAACiMAAA/jAAAKMwAACzMAAAszAAAAAxAAC0MAAAtDAAAAExAAD7MAAAAzEAAPwwAAAEMQAA/TAAAAUxAAD+MAAABjEAAP8wAAAHMQAApDAAAP8wAADBMAAAwTAAAAgxAADCMAAAwjAAAAkxAAABMQAACzEAAAIxAAAMMQAAAzEAAA0xAAAEMQAADjEAAAUxAAAPMQAABjEAABAxAAAHMQAAETEAALYwAAAHMQAACDEAAMAwAAAJMQAAEzEAAAoxAAAUMQAACzEAABUxAAAMMQAAFjEAAA0xAAAXMQAADjEAABgxAAAPMQAAGTEAABAxAAAaMQAAETEAABsxAADEMAAAETEAAM0wAADZMAAAEzEAANswAAAUMQAA3DAAANwwAAAcMQAAFjEAAB0xAAAXMQAAHjEAABgxAAAfMQAAGTEAACAxAAAaMQAAITEAAN4wAADeMAAAGzEAAM8wAADcMAAA6DAAAB0xAADqMAAAHjEAAOswAADrMAAAIjEAACAxAAAjMQAA7TAAAO0wAAAhMQAA3zAAAOswAAD3MAAAIzEAAO4wAAA=",
        "encoding": "base64",
        "path": [
         "_widget_data",
         0,
         "k",
         "buffer"
        ]
       },
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d='M24 16v5.5c0 1.75-.75 2.5-2.5 2.5H16v-1l3-1.5-4-5.5 1-1 5.5 4 1.5-3zM6 16l1.5 3 5.5-4 1 1-4 5.5 3 1.5v1H7.5C5.75 24 5 23.25 5 21.5V16zm7-11v1l-3 1.5 4 5.5-1 1-5.5-4L6 13H5V7.5C5 5.75 5.75 5 7.5 5zm11 2.5c0-1.75-.75-2.5-2.5-2.5H16v1l3 1.5-4 5.5 1 1 5.5-4 1.5 3h1z'/%3E%3C/svg%3E\")}.maplibregl-ctrl button.maplibregl-ctrl-shrink .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%23fff' viewBox='0 0 29 29'%3E%3Cpath d='M18.5 16c-1.75 0-2.5.75-2.5 2.5V24h1l1.5-3 5.5 4 1-1-4-5.5 3-1.5v-1zM13 18.5c0-1.75-.75-2.5-2.5-2.5H5v1l3 1.5L4 24l1 1 5.5-4 1.5 3h1zm3-8c0 1.75.75 2.5 2.5 2.5H24v-1l-3-1.5L25 5l-1-1-5.5 4L17 5h-1zM10.5 13c1.75 0 2.5-.75 2.5-2.5V5h-1l-1.5 3L5 4 4 5l4 5.5L5 12v1z'/%3E%3C/svg%3E\")}}@media (forced-colors:active) and (prefers-color-scheme:light){.maplibregl-ctrl button.maplibregl-ctrl-fullscreen .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' viewBox='0 0 29 29'%3E%3Cpath d='M24 16v5.5c0 1.75-.75 2.5-2.5 2.5H16v-1l3-1.5-4-5.5 1-1 5.5 4 1.5-3zM6 16l1.5 3 5.5-4 1 1-4 5.5 3 1.5v1H7.5C5.75 24 5 23.25 5 21.5V16zm7-11v1l-3 1.5 4 5.5-1 1-5.5-4L6 13H5V7.5C5 5.75 5.75 5 7.5 5zm11 2.5c0-1.75-.75-2.5-2.5-2.5H16v1l3 1.5-4 5.5 1 1 5.5-4 1.5 3h1z'/%3E%3C/svg%3E\")}.maplibregl-ctrl button.maplibregl-ctrl-shrink .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' viewBox='0 0 29 29'%3E%3Cpath d='M18.5 16c-1.75 0-2.5.75-2.5 2.5V24h1l1.5-3 5.5 4 1-1-4-5.5 3-1.5v-1zM13 18.5c0-1.75-.75-2.5-2.5-2.5H5v1l3 1.5L4 24l1 1 5.5-4 1.5 3h1zm3-8c0 1.75.75 2.5 2.5 2.5H24v-1l-3-1.5L25 5l-1-1-5.5 4L17 5h-1zM10.5 13c1.75 0 2.5-.75 2.5-2.5V5h-1l-1.5 3L5 4 4 5l4 5.5L5 12v1z'/%3E%3C/svg%3E\")}}.maplibregl-ctrl 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.maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%23333' viewBox='0 0 20 20'%3E%3Cpath d='M10 4C9 4 9 5 9 5v.1A5 5 0 0 0 5.1 9H5s-1 0-1 1 1 1 1 1h.1A5 5 0 0 0 9 14.9v.1s0 1 1 1 1-1 1-1v-.1a5 5 0 0 0 3.9-3.9h.1s1 0 1-1-1-1-1-1h-.1A5 5 0 0 0 11 5.1V5s0-1-1-1m0 2.5a3.5 3.5 0 1 1 0 7 3.5 3.5 0 1 1 0-7'/%3E%3Ccircle cx='10' cy='10' r='2'/%3E%3C/svg%3E\")}.maplibregl-ctrl button.maplibregl-ctrl-geolocate:disabled .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%23aaa' viewBox='0 0 20 20'%3E%3Cpath d='M10 4C9 4 9 5 9 5v.1A5 5 0 0 0 5.1 9H5s-1 0-1 1 1 1 1 1h.1A5 5 0 0 0 9 14.9v.1s0 1 1 1 1-1 1-1v-.1a5 5 0 0 0 3.9-3.9h.1s1 0 1-1-1-1-1-1h-.1A5 5 0 0 0 11 5.1V5s0-1-1-1m0 2.5a3.5 3.5 0 1 1 0 7 3.5 3.5 0 1 1 0-7'/%3E%3Ccircle cx='10' cy='10' r='2'/%3E%3Cpath fill='red' d='m14 5 1 1-9 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width='29' height='29' fill='%23999' viewBox='0 0 20 20'%3E%3Cpath d='M10 4C9 4 9 5 9 5v.1A5 5 0 0 0 5.1 9H5s-1 0-1 1 1 1 1 1h.1A5 5 0 0 0 9 14.9v.1s0 1 1 1 1-1 1-1v-.1a5 5 0 0 0 3.9-3.9h.1s1 0 1-1-1-1-1-1h-.1A5 5 0 0 0 11 5.1V5s0-1-1-1m0 2.5a3.5 3.5 0 1 1 0 7 3.5 3.5 0 1 1 0-7'/%3E%3Ccircle cx='10' cy='10' r='2'/%3E%3Cpath fill='red' d='m14 5 1 1-9 9-1-1z'/%3E%3C/svg%3E\")}.maplibregl-ctrl button.maplibregl-ctrl-geolocate.maplibregl-ctrl-geolocate-active .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%2333b5e5' viewBox='0 0 20 20'%3E%3Cpath d='M10 4C9 4 9 5 9 5v.1A5 5 0 0 0 5.1 9H5s-1 0-1 1 1 1 1 1h.1A5 5 0 0 0 9 14.9v.1s0 1 1 1 1-1 1-1v-.1a5 5 0 0 0 3.9-3.9h.1s1 0 1-1-1-1-1-1h-.1A5 5 0 0 0 11 5.1V5s0-1-1-1m0 2.5a3.5 3.5 0 1 1 0 7 3.5 3.5 0 1 1 0-7'/%3E%3Ccircle cx='10' cy='10' r='2'/%3E%3C/svg%3E\")}.maplibregl-ctrl button.maplibregl-ctrl-geolocate.maplibregl-ctrl-geolocate-active-error .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%23e58978' viewBox='0 0 20 20'%3E%3Cpath d='M10 4C9 4 9 5 9 5v.1A5 5 0 0 0 5.1 9H5s-1 0-1 1 1 1 1 1h.1A5 5 0 0 0 9 14.9v.1s0 1 1 1 1-1 1-1v-.1a5 5 0 0 0 3.9-3.9h.1s1 0 1-1-1-1-1-1h-.1A5 5 0 0 0 11 5.1V5s0-1-1-1m0 2.5a3.5 3.5 0 1 1 0 7 3.5 3.5 0 1 1 0-7'/%3E%3Ccircle cx='10' cy='10' r='2'/%3E%3C/svg%3E\")}.maplibregl-ctrl button.maplibregl-ctrl-geolocate.maplibregl-ctrl-geolocate-background .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%2333b5e5' viewBox='0 0 20 20'%3E%3Cpath d='M10 4C9 4 9 5 9 5v.1A5 5 0 0 0 5.1 9H5s-1 0-1 1 1 1 1 1h.1A5 5 0 0 0 9 14.9v.1s0 1 1 1 1-1 1-1v-.1a5 5 0 0 0 3.9-3.9h.1s1 0 1-1-1-1-1-1h-.1A5 5 0 0 0 11 5.1V5s0-1-1-1m0 2.5a3.5 3.5 0 1 1 0 7 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Pe=!1,at=Ue.fgcolor;!at&&st&&st.color&&(at=st.color,Pe=!0);var yt=Me(at,Ee.i,st&&st.color||null),Tt=Me(Ue.bgcolor,Ee.i,null),Ot=Ue.fgopacity,Gt=Me(Ue.size,Ee.i,8),rr=Me(Ue.solidity,Ee.i,.3);Pe=Pe||Ee.mcc||x.isArrayOrTypedArray(Ue.shape)||x.isArrayOrTypedArray(Ue.path)||x.isArrayOrTypedArray(Ue.bgcolor)||x.isArrayOrTypedArray(Ue.fgcolor)||x.isArrayOrTypedArray(Ue.size)||x.isArrayOrTypedArray(Ue.solidity);var Qt=fe.uid;Pe&&(Qt+=\"-\"+Ee.i),l.pattern(_e,\"point\",rt,Qt,qe,Gt,rr,Ee.mcc,Ue.fillmode,Tt,yt,Ot)}else x.isArrayOrTypedArray(jr)?r.fill(_e,jr[Ee.i]):r.fill(_e,jr);Ir&&r.stroke(_e,wr)}},l.makePointStyleFns=function(Ee){var _e={},fe=Ee.marker;return _e.markerScale=l.tryColorscale(fe,\"\"),_e.lineScale=l.tryColorscale(fe,\"line\"),t.traceIs(Ee,\"symbols\")&&(_e.ms2mrc=g.isBubble(Ee)?v(Ee):function(){return(fe.size||6)/2}),Ee.selectedpoints&&x.extendFlat(_e,l.makeSelectedPointStyleFns(Ee)),_e},l.makeSelectedPointStyleFns=function(Ee){var _e={},fe=Ee.selected||{},Fe=Ee.unselected||{},rt=Ee.marker||{},st=fe.marker||{},Qe=Fe.marker||{},Lt=rt.opacity,kt=st.opacity,Vt=Qe.opacity,Zt=kt!==void 0,Sr=Vt!==void 0;(x.isArrayOrTypedArray(Lt)||Zt||Sr)&&(_e.selectedOpacityFn=function(Me){var qe=Me.mo===void 0?rt.opacity:Me.mo;return Me.selected?Zt?kt:qe:Sr?Vt:f*qe});var xr=rt.color,jr=st.color,wr=Qe.color;(jr||wr)&&(_e.selectedColorFn=function(Me){var qe=Me.mcc||xr;return Me.selected?jr||qe:wr||qe});var Ir=rt.size,bt=st.size,Be=Qe.size,Ke=bt!==void 0,Ue=Be!==void 0;return t.traceIs(Ee,\"symbols\")&&(Ke||Ue)&&(_e.selectedSizeFn=function(Me){var qe=Me.mrc||Ir/2;return Me.selected?Ke?bt/2:qe:Ue?Be/2:qe}),_e},l.makeSelectedTextStyleFns=function(Ee){var _e={},fe=Ee.selected||{},Fe=Ee.unselected||{},rt=Ee.textfont||{},st=fe.textfont||{},Qe=Fe.textfont||{},Lt=rt.color,kt=st.color,Vt=Qe.color;return _e.selectedTextColorFn=function(Zt){var Sr=Zt.tc||Lt;return 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Kr=xt[Lr].value,Ur=xt[Gr].value,aa=Math.abs(Ur-Kr),da=Nr||aa,fa=0;da>=v?aa>=v&&aa<=f?fa=aa:fa=g:Nr===l&&da>=_?aa>=_&&aa<=T?fa=aa:fa=l:da>=E?aa>=E&&aa<=w?fa=aa:fa=S:Nr===y&&da>=y?fa=y:da>=b?fa=b:Nr===p&&da>=p?fa=p:Nr===u&&da>=u&&(fa=u);var It;fa>=aa&&(fa=aa,It=!0);var dr=Rr+fa;if(ct.rangebreaks&&fa>0){for(var kr=84,ia=0,Ca=0;Ca<kr;Ca++){var Fa=(Ca+.5)/kr;ct.maskBreaks(Rr*(1-Fa)+Fa*dr)!==F&&ia++}fa*=ia/kr,fa||(xt[Or].drop=!0),It&&aa>y&&(fa=aa)}(fa>0||Or===0)&&(xt[Or].periodX=Rr+fa/2)}}J.calcTicks=function(ct,Nr){for(var Or=ct.type,Rr=ct.calendar,Lr=ct.ticklabelstep,Gr=ct.ticklabelmode===\"period\",Kr=ct.range[0]>ct.range[1],Ur=!ct.ticklabelindex||e.isArrayOrTypedArray(ct.ticklabelindex)?ct.ticklabelindex:[ct.ticklabelindex],aa=e.simpleMap(ct.range,ct.r2l,void 0,void 0,Nr),da=aa[1]<aa[0],fa=Math.min(aa[0],aa[1]),It=Math.max(aa[0],aa[1]),dr=Math.max(1e3,ct._length||0),kr=[],ia=[],Ca=[],Fa=[],Ya=[],ha=ct.minor&&(ct.minor.ticks||ct.minor.showgrid),Da=1;Da>=(ha?0:1);Da--){var Xi=!Da;Da?(ct._dtickInit=ct.dtick,ct._tick0Init=ct.tick0):(ct.minor._dtickInit=ct.minor.dtick,ct.minor._tick0Init=ct.minor.tick0);var Li=Da?ct:e.extendFlat({},ct,ct.minor);if(Xi?J.prepMinorTicks(Li,ct,Nr):J.prepTicks(Li,Nr),Li.tickmode===\"array\"){Da?(Ca=[],kr=Fe(ct,!Xi)):(Fa=[],ia=Fe(ct,!Xi));continue}if(Li.tickmode===\"sync\"){Ca=[],kr=fe(ct);continue}var fn=ce(aa),An=fn[0],kn=fn[1],zn=x(Li.dtick),Xn=Or===\"log\"&&!(zn||Li.dtick.charAt(0)===\"L\"),to=J.tickFirst(Li,Nr);if(Da){if(ct._tmin=to,to<An!==da)break;(Or===\"category\"||Or===\"multicategory\")&&(kn=da?Math.max(-.5,kn):Math.min(ct._categories.length-.5,kn))}var mo=null,pn=to,Jo;if(Da){var Xo;zn?Xo=ct.dtick:Or===\"date\"?typeof ct.dtick==\"string\"&&ct.dtick.charAt(0)===\"M\"&&(Xo=S*ct.dtick.substring(1)):Xo=ct._roughDTick,Jo=Math.round((ct.r2l(pn)-ct.r2l(ct.tick0))/Xo)-1}var Ts=Li.dtick;for(Li.rangebreaks&&Li._tick0Init!==Li.tick0&&(pn=ra(pn,ct),da||(pn=J.tickIncrement(pn,Ts,!da,Rr))),Da&&Gr&&(pn=J.tickIncrement(pn,Ts,!da,Rr),Jo--);da?pn>=kn:pn<=kn;pn=J.tickIncrement(pn,Ts,da,Rr)){if(Da&&Jo++,Li.rangebreaks&&!da){if(pn<An)continue;if(Li.maskBreaks(pn)===F&&ra(pn,Li)>=It)break}if(Ca.length>dr||pn===mo)break;mo=pn;var Po={value:pn};Da?(Xn&&pn!==(pn|0)&&(Po.simpleLabel=!0),Lr>1&&Jo%Lr&&(Po.skipLabel=!0),Ca.push(Po)):(Po.minor=!0,Fa.push(Po))}}if(!Fa||Fa.length<2)Ur=!1;else{var so=(Fa[1].value-Fa[0].value)*(Kr?-1:1);mi(so,ct.tickformat)||(Ur=!1)}if(!Ur)Ya=Ca;else{var Vn=Ca.concat(Fa);Gr&&Ca.length&&(Vn=Vn.slice(1)),Vn=Vn.sort(function(ro,As){return ro.value-As.value}).filter(function(ro,As,al){return As===0||ro.value!==al[As-1].value});var To=Vn.map(function(ro,As){return ro.minor===void 0&&!ro.skipLabel?As:null}).filter(function(ro){return ro!==null});To.forEach(function(ro){Ur.map(function(As){var al=ro+As;al>=0&&al<Vn.length&&e.pushUnique(Ya,Vn[al])})})}if(ha){var qo=ct.minor.ticks===\"inside\"&&ct.ticks===\"outside\"||ct.minor.ticks===\"outside\"&&ct.ticks===\"inside\";if(!qo){for(var Oo=Ca.map(function(ro){return ro.value}),lo=[],Co=0;Co<Fa.length;Co++){var os=Fa[Co],Ys=os.value;if(Oo.indexOf(Ys)===-1){for(var Os=!1,Yo=0;!Os&&Yo<Ca.length;Yo++)1e7+Ca[Yo].value===1e7+Ys&&(Os=!0);Os||lo.push(os)}}Fa=lo}}Gr&&Ee(Ya,ct,ct._definedDelta);var Ui;if(ct.rangebreaks){var Cn=ct._id.charAt(0)===\"y\",tl=1;ct.tickmode===\"auto\"&&(tl=ct.tickfont?ct.tickfont.size:12);var Bs=NaN;for(Ui=Ca.length-1;Ui>-1;Ui--){if(Ca[Ui].drop){Ca.splice(Ui,1);continue}Ca[Ui].value=ra(Ca[Ui].value,ct);var uo=ct.c2p(Ca[Ui].value);(Cn?Bs>uo-tl:Bs<uo+tl)?Ca.splice(da?Ui+1:Ui,1):Bs=uo}}ma(ct)&&Math.abs(aa[1]-aa[0])===360&&Ca.pop(),ct._tmax=(Ca[Ca.length-1]||{}).value,ct._prevDateHead=\"\",ct._inCalcTicks=!0;var $s,ms=function(ro){ro.text=\"\",ct._prevDateHead=$s};Ca=Ca.concat(Fa);function Is(ro,As){var al=J.tickText(ro,As.value,!1,As.simpleLabel),$n=As.periodX;return $n!==void 0&&(al.periodX=$n,($n>It||$n<fa)&&($n>It&&(al.periodX=It),$n<fa&&(al.periodX=fa),ms(al))),al}var rl;for(Ui=0;Ui<Ca.length;Ui++){var Sn=Ca[Ui].minor,po=Ca[Ui].value;Sn?(Ur&&Ya.indexOf(Ca[Ui])!==-1?rl=Is(ct,Ca[Ui]):rl={x:po},rl.minor=!0,ia.push(rl)):($s=ct._prevDateHead,rl=Is(ct,Ca[Ui]),(Ca[Ui].skipLabel||Ur&&Ya.indexOf(Ca[Ui])===-1)&&ms(rl),kr.push(rl))}return kr=kr.concat(ia),ct._inCalcTicks=!1,Gr&&kr.length&&(kr[0].noTick=!0),kr};function _e(xt,ct){return xt.rangebreaks&&(ct=ct.filter(function(Nr){return xt.maskBreaks(Nr.x)!==F})),ct}function fe(xt){var ct=xt._mainAxis,Nr=[];if(ct._vals){for(var Or=0;Or<ct._vals.length;Or++)if(!ct._vals[Or].noTick){var Rr=ct.l2p(ct._vals[Or].x),Lr=xt.p2l(Rr),Gr=J.tickText(xt,Lr);ct._vals[Or].minor&&(Gr.minor=!0,Gr.text=\"\"),Nr.push(Gr)}}return Nr=_e(xt,Nr),Nr}function Fe(xt,ct){var Nr=e.simpleMap(xt.range,xt.r2l),Or=ce(Nr),Rr=Math.min(Or[0],Or[1]),Lr=Math.max(Or[0],Or[1]),Gr=xt.type===\"category\"?xt.d2l_noadd:xt.d2l;xt.type===\"log\"&&String(xt.dtick).charAt(0)!==\"L\"&&(xt.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(xt.range[0],xt.range[1]))-1));for(var Kr=[],Ur=0;Ur<=1;Ur++)if(!(ct!==void 0&&(ct&&Ur||ct===!1&&!Ur))&&!(Ur&&!xt.minor)){var aa=Ur?xt.minor.tickvals:xt.tickvals,da=Ur?[]:xt.ticktext;if(aa){e.isArrayOrTypedArray(da)||(da=[]);for(var fa=0;fa<aa.length;fa++){var It=Gr(aa[fa]);if(It>Rr&&It<Lr){var dr=J.tickText(xt,It,!1,String(da[fa]));Ur&&(dr.minor=!0,dr.text=\"\"),Kr.push(dr)}}}}return Kr=_e(xt,Kr),Kr}var rt=[2,5,10],st=[1,2,3,6,12],Qe=[1,2,5,10,15,30],Lt=[1,2,3,7,14],kt=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],Vt=[-.301,0,.301,.699,1],Zt=[15,30,45,90,180];function Sr(xt,ct,Nr){return ct*e.roundUp(xt/ct,Nr)}J.autoTicks=function(xt,ct,Nr){var Or;function Rr(fa){return Math.pow(fa,Math.floor(Math.log(ct)/Math.LN10))}if(xt.type===\"date\"){xt.tick0=e.dateTick0(xt.calendar,0);var Lr=2*ct;if(Lr>g)ct/=g,Or=Rr(10),xt.dtick=\"M\"+12*Sr(ct,Or,rt);else if(Lr>S)ct/=S,xt.dtick=\"M\"+Sr(ct,1,st);else if(Lr>b){if(xt.dtick=Sr(ct,b,xt._hasDayOfWeekBreaks?[1,2,7,14]:Lt),!Nr){var Gr=J.getTickFormat(xt),Kr=xt.ticklabelmode===\"period\";Kr&&(xt._rawTick0=xt.tick0),/%[uVW]/.test(Gr)?xt.tick0=e.dateTick0(xt.calendar,2):xt.tick0=e.dateTick0(xt.calendar,1),Kr&&(xt._dowTick0=xt.tick0)}}else Lr>u?xt.dtick=Sr(ct,u,st):Lr>m?xt.dtick=Sr(ct,m,Qe):Lr>h?xt.dtick=Sr(ct,h,Qe):(Or=Rr(10),xt.dtick=Sr(ct,Or,rt))}else if(xt.type===\"log\"){xt.tick0=0;var Ur=e.simpleMap(xt.range,xt.r2l);if(xt._isMinor&&(ct*=1.5),ct>.7)xt.dtick=Math.ceil(ct);else if(Math.abs(Ur[1]-Ur[0])<1){var aa=1.5*Math.abs((Ur[1]-Ur[0])/ct);ct=Math.abs(Math.pow(10,Ur[1])-Math.pow(10,Ur[0]))/aa,Or=Rr(10),xt.dtick=\"L\"+Sr(ct,Or,rt)}else xt.dtick=ct>.3?\"D2\":\"D1\"}else xt.type===\"category\"||xt.type===\"multicategory\"?(xt.tick0=0,xt.dtick=Math.ceil(Math.max(ct,1))):ma(xt)?(xt.tick0=0,Or=1,xt.dtick=Sr(ct,Or,Zt)):(xt.tick0=0,Or=Rr(10),xt.dtick=Sr(ct,Or,rt));if(xt.dtick===0&&(xt.dtick=1),!x(xt.dtick)&&typeof xt.dtick!=\"string\"){var da=xt.dtick;throw xt.dtick=1,\"ax.dtick error: \"+String(da)}};function xr(xt){var ct=xt.dtick;if(xt._tickexponent=0,!x(ct)&&typeof ct!=\"string\"&&(ct=1),(xt.type===\"category\"||xt.type===\"multicategory\")&&(xt._tickround=null),xt.type===\"date\"){var Nr=xt.r2l(xt.tick0),Or=xt.l2r(Nr).replace(/(^-|i)/g,\"\"),Rr=Or.length;if(String(ct).charAt(0)===\"M\")Rr>10||Or.substr(5)!==\"01-01\"?xt._tickround=\"d\":xt._tickround=+ct.substr(1)%12===0?\"y\":\"m\";else if(ct>=b&&Rr<=10||ct>=b*15)xt._tickround=\"d\";else if(ct>=m&&Rr<=16||ct>=u)xt._tickround=\"M\";else if(ct>=h&&Rr<=19||ct>=m)xt._tickround=\"S\";else{var Lr=xt.l2r(Nr+ct).replace(/^-/,\"\").length;xt._tickround=Math.max(Rr,Lr)-20,xt._tickround<0&&(xt._tickround=4)}}else if(x(ct)||ct.charAt(0)===\"L\"){var Gr=xt.range.map(xt.r2d||Number);x(ct)||(ct=Number(ct.substr(1))),xt._tickround=2-Math.floor(Math.log(ct)/Math.LN10+.01);var Kr=Math.max(Math.abs(Gr[0]),Math.abs(Gr[1])),Ur=Math.floor(Math.log(Kr)/Math.LN10+.01),aa=xt.minexponent===void 0?3:xt.minexponent;Math.abs(Ur)>aa&&(Ce(xt.exponentformat)&&!Te(Ur)?xt._tickexponent=3*Math.round((Ur-1)/3):xt._tickexponent=Ur)}else xt._tickround=null}J.tickIncrement=function(xt,ct,Nr,Or){var Rr=Nr?-1:1;if(x(ct))return e.increment(xt,Rr*ct);var Lr=ct.charAt(0),Gr=Rr*Number(ct.substr(1));if(Lr===\"M\")return e.incrementMonth(xt,Gr,Or);if(Lr===\"L\")return Math.log(Math.pow(10,xt)+Gr)/Math.LN10;if(Lr===\"D\"){var Kr=ct===\"D2\"?Vt:kt,Ur=xt+Rr*.01,aa=e.roundUp(e.mod(Ur,1),Kr,Nr);return Math.floor(Ur)+Math.log(d.round(Math.pow(10,aa),1))/Math.LN10}throw\"unrecognized dtick \"+String(ct)},J.tickFirst=function(xt,ct){var Nr=xt.r2l||Number,Or=e.simpleMap(xt.range,Nr,void 0,void 0,ct),Rr=Or[1]<Or[0],Lr=Rr?Math.floor:Math.ceil,Gr=ce(Or)[0],Kr=xt.dtick,Ur=Nr(xt.tick0);if(x(Kr)){var aa=Lr((Gr-Ur)/Kr)*Kr+Ur;return(xt.type===\"category\"||xt.type===\"multicategory\")&&(aa=e.constrain(aa,0,xt._categories.length-1)),aa}var da=Kr.charAt(0),fa=Number(Kr.substr(1));if(da===\"M\"){for(var It=0,dr=Ur,kr,ia,Ca;It<10;){if(kr=J.tickIncrement(dr,Kr,Rr,xt.calendar),(kr-Gr)*(dr-Gr)<=0)return Rr?Math.min(dr,kr):Math.max(dr,kr);ia=(Gr-(dr+kr)/2)/(kr-dr),Ca=da+(Math.abs(Math.round(ia))||1)*fa,dr=J.tickIncrement(dr,Ca,ia<0?!Rr:Rr,xt.calendar),It++}return e.error(\"tickFirst did not converge\",xt),dr}else{if(da===\"L\")return Math.log(Lr((Math.pow(10,Gr)-Ur)/fa)*fa+Ur)/Math.LN10;if(da===\"D\"){var Fa=Kr===\"D2\"?Vt:kt,Ya=e.roundUp(e.mod(Gr,1),Fa,Rr);return Math.floor(Gr)+Math.log(d.round(Math.pow(10,Ya),1))/Math.LN10}else throw\"unrecognized dtick \"+String(Kr)}},J.tickText=function(xt,ct,Nr,Or){var Rr=jr(xt,ct),Lr=xt.tickmode===\"array\",Gr=Nr||Lr,Kr=xt.type,Ur=Kr===\"category\"?xt.d2l_noadd:xt.d2l,aa,da=function(Ca){var Fa=xt.l2p(Ca);return Fa>=0&&Fa<=xt._length?Ca:null};if(Lr&&e.isArrayOrTypedArray(xt.ticktext)){var fa=e.simpleMap(xt.range,xt.r2l),It=(Math.abs(fa[1]-fa[0])-(xt._lBreaks||0))/1e4;for(aa=0;aa<xt.ticktext.length&&!(Math.abs(ct-Ur(xt.tickvals[aa]))<It);aa++);if(aa<xt.ticktext.length)return Rr.text=String(xt.ticktext[aa]),Rr.xbnd=[da(Rr.x-.5),da(Rr.x+xt.dtick-.5)],Rr}function dr(Ca){if(Ca===void 0)return!0;if(Nr)return Ca===\"none\";var Fa={first:xt._tmin,last:xt._tmax}[Ca];return Ca!==\"all\"&&ct!==Fa}var kr=Nr?\"never\":xt.exponentformat!==\"none\"&&dr(xt.showexponent)?\"hide\":\"\";if(Kr===\"date\"?wr(xt,Rr,Nr,Gr):Kr===\"log\"?Ir(xt,Rr,Nr,Gr,kr):Kr===\"category\"?bt(xt,Rr):Kr===\"multicategory\"?Be(xt,Rr,Nr):ma(xt)?Ue(xt,Rr,Nr,Gr,kr):Ke(xt,Rr,Nr,Gr,kr),Or||(xt.tickprefix&&!dr(xt.showtickprefix)&&(Rr.text=xt.tickprefix+Rr.text),xt.ticksuffix&&!dr(xt.showticksuffix)&&(Rr.text+=xt.ticksuffix)),xt.labelalias&&xt.labelalias.hasOwnProperty(Rr.text)){var ia=xt.labelalias[Rr.text];typeof ia==\"string\"&&(Rr.text=ia)}return(xt.tickson===\"boundaries\"||xt.showdividers)&&(Rr.xbnd=[da(Rr.x-.5),da(Rr.x+xt.dtick-.5)]),Rr},J.hoverLabelText=function(xt,ct,Nr){Nr&&(xt=e.extendFlat({},xt,{hoverformat:Nr}));var Or=e.isArrayOrTypedArray(ct)?ct[0]:ct,Rr=e.isArrayOrTypedArray(ct)?ct[1]:void 0;if(Rr!==void 0&&Rr!==Or)return J.hoverLabelText(xt,Or,Nr)+\" - \"+J.hoverLabelText(xt,Rr,Nr);var Lr=xt.type===\"log\"&&Or<=0,Gr=J.tickText(xt,xt.c2l(Lr?-Or:Or),\"hover\").text;return Lr?Or===0?\"0\":z+Gr:Gr};function jr(xt,ct,Nr){var Or=xt.tickfont||{};return{x:ct,dx:0,dy:0,text:Nr||\"\",fontSize:Or.size,font:Or.family,fontWeight:Or.weight,fontStyle:Or.style,fontVariant:Or.variant,fontTextcase:Or.textcase,fontLineposition:Or.lineposition,fontShadow:Or.shadow,fontColor:Or.color}}function wr(xt,ct,Nr,Or){var Rr=xt._tickround,Lr=Nr&&xt.hoverformat||J.getTickFormat(xt);Or=!Lr&&Or,Or&&(x(Rr)?Rr=4:Rr={y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[Rr]);var Gr=e.formatDate(ct.x,Lr,Rr,xt._dateFormat,xt.calendar,xt._extraFormat),Kr,Ur=Gr.indexOf(`\n`);if(Ur!==-1&&(Kr=Gr.substr(Ur+1),Gr=Gr.substr(0,Ur)),Or&&(Kr!==void 0&&(Gr===\"00:00:00\"||Gr===\"00:00\")?(Gr=Kr,Kr=\"\"):Gr.length===8&&(Gr=Gr.replace(/:00$/,\"\"))),Kr)if(Nr)Rr===\"d\"?Gr+=\", \"+Kr:Gr=Kr+(Gr?\", \"+Gr:\"\");else if(!xt._inCalcTicks||xt._prevDateHead!==Kr)xt._prevDateHead=Kr,Gr+=\"<br>\"+Kr;else{var aa=Ia(xt),da=xt._trueSide||xt.side;(!aa&&da===\"top\"||aa&&da===\"bottom\")&&(Gr+=\"<br> \")}ct.text=Gr}function Ir(xt,ct,Nr,Or,Rr){var Lr=xt.dtick,Gr=ct.x,Kr=xt.tickformat,Ur=typeof Lr==\"string\"&&Lr.charAt(0);if(Rr===\"never\"&&(Rr=\"\"),Or&&Ur!==\"L\"&&(Lr=\"L3\",Ur=\"L\"),Kr||Ur===\"L\")ct.text=Pe(Math.pow(10,Gr),xt,Rr,Or);else if(x(Lr)||Ur===\"D\"&&(xt.minorloglabels===\"complete\"||e.mod(Gr+.01,1)<.1)){var aa;xt.minorloglabels===\"complete\"&&!(e.mod(Gr+.01,1)<.1)&&(aa=!0,ct.fontSize*=.75);var da=Math.pow(10,Gr).toExponential(0),fa=da.split(\"e\"),It=+fa[1],dr=Math.abs(It),kr=xt.exponentformat;kr===\"power\"||Ce(kr)&&Te(It)?(ct.text=fa[0],dr>0&&(ct.text+=\"x10\"),ct.text===\"1x10\"&&(ct.text=\"10\"),It!==0&&It!==1&&(ct.text+=\"<sup>\"+(It>0?\"\":z)+dr+\"</sup>\"),ct.fontSize*=1.25):(kr===\"e\"||kr===\"E\")&&dr>2?ct.text=fa[0]+kr+(It>0?\"+\":z)+dr:(ct.text=Pe(Math.pow(10,Gr),xt,\"\",\"fakehover\"),Lr===\"D1\"&&xt._id.charAt(0)===\"y\"&&(ct.dy-=ct.fontSize/6))}else if(Ur===\"D\")ct.text=xt.minorloglabels===\"none\"?\"\":String(Math.round(Math.pow(10,e.mod(Gr,1)))),ct.fontSize*=.75;else throw\"unrecognized dtick \"+String(Lr);if(xt.dtick===\"D1\"){var ia=String(ct.text).charAt(0);(ia===\"0\"||ia===\"1\")&&(xt._id.charAt(0)===\"y\"?ct.dx-=ct.fontSize/4:(ct.dy+=ct.fontSize/2,ct.dx+=(xt.range[1]>xt.range[0]?1:-1)*ct.fontSize*(Gr<0?.5:.25)))}}function bt(xt,ct){var Nr=xt._categories[Math.round(ct.x)];Nr===void 0&&(Nr=\"\"),ct.text=String(Nr)}function Be(xt,ct,Nr){var Or=Math.round(ct.x),Rr=xt._categories[Or]||[],Lr=Rr[1]===void 0?\"\":String(Rr[1]),Gr=Rr[0]===void 0?\"\":String(Rr[0]);Nr?ct.text=Gr+\" - \"+Lr:(ct.text=Lr,ct.text2=Gr)}function Ke(xt,ct,Nr,Or,Rr){Rr===\"never\"?Rr=\"\":xt.showexponent===\"all\"&&Math.abs(ct.x/xt.dtick)<1e-6&&(Rr=\"hide\"),ct.text=Pe(ct.x,xt,Rr,Or)}function Ue(xt,ct,Nr,Or,Rr){if(xt.thetaunit===\"radians\"&&!Nr){var Lr=ct.x/180;if(Lr===0)ct.text=\"0\";else{var Gr=Me(Lr);if(Gr[1]>=100)ct.text=Pe(e.deg2rad(ct.x),xt,Rr,Or);else{var Kr=ct.x<0;Gr[1]===1?Gr[0]===1?ct.text=\"\\u03C0\":ct.text=Gr[0]+\"\\u03C0\":ct.text=[\"<sup>\",Gr[0],\"</sup>\",\"\\u2044\",\"<sub>\",Gr[1],\"</sub>\",\"\\u03C0\"].join(\"\"),Kr&&(ct.text=z+ct.text)}}}else ct.text=Pe(ct.x,xt,Rr,Or)}function Me(xt){function ct(Kr,Ur){return Math.abs(Kr-Ur)<=1e-6}function Nr(Kr,Ur){return ct(Ur,0)?Kr:Nr(Ur,Kr%Ur)}function Or(Kr){for(var Ur=1;!ct(Math.round(Kr*Ur)/Ur,Kr);)Ur*=10;return Ur}var Rr=Or(xt),Lr=xt*Rr,Gr=Math.abs(Nr(Lr,Rr));return[Math.round(Lr/Gr),Math.round(Rr/Gr)]}var qe=[\"f\",\"p\",\"n\",\"\\u03BC\",\"m\",\"\",\"k\",\"M\",\"G\",\"T\"];function Ce(xt){return xt===\"SI\"||xt===\"B\"}function Te(xt){return xt>14||xt<-15}function Pe(xt,ct,Nr,Or){var Rr=xt<0,Lr=ct._tickround,Gr=Nr||ct.exponentformat||\"B\",Kr=ct._tickexponent,Ur=J.getTickFormat(ct),aa=ct.separatethousands;if(Or){var da={exponentformat:Gr,minexponent:ct.minexponent,dtick:ct.showexponent===\"none\"?ct.dtick:x(xt)&&Math.abs(xt)||1,range:ct.showexponent===\"none\"?ct.range.map(ct.r2d):[0,xt||1]};xr(da),Lr=(Number(da._tickround)||0)+4,Kr=da._tickexponent,ct.hoverformat&&(Ur=ct.hoverformat)}if(Ur)return ct._numFormat(Ur)(xt).replace(/-/g,z);var fa=Math.pow(10,-Lr)/2;if(Gr===\"none\"&&(Kr=0),xt=Math.abs(xt),xt<fa)xt=\"0\",Rr=!1;else{if(xt+=fa,Kr&&(xt*=Math.pow(10,-Kr),Lr+=Kr),Lr===0)xt=String(Math.floor(xt));else if(Lr<0){xt=String(Math.round(xt)),xt=xt.substr(0,xt.length+Lr);for(var It=Lr;It<0;It++)xt+=\"0\"}else{xt=String(xt);var dr=xt.indexOf(\".\")+1;dr&&(xt=xt.substr(0,dr+Lr).replace(/\\.?0+$/,\"\"))}xt=e.numSeparate(xt,ct._separators,aa)}if(Kr&&Gr!==\"hide\"){Ce(Gr)&&Te(Kr)&&(Gr=\"power\");var kr;Kr<0?kr=z+-Kr:Gr!==\"power\"?kr=\"+\"+Kr:kr=String(Kr),Gr===\"e\"||Gr===\"E\"?xt+=Gr+kr:Gr===\"power\"?xt+=\"\\xD710<sup>\"+kr+\"</sup>\":Gr===\"B\"&&Kr===9?xt+=\"B\":Ce(Gr)&&(xt+=qe[Kr/3+5])}return 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Af=ct._offset-$n.top;Af>0&&(zs.yt=1,zs.t=Af)}zs[fa]=ct.anchor===\"free\"?ct.position:ct._anchorAxis.domain[Ns[0]],ct.title.text!==Ur._dfltTitle[da]&&(zs[po]+=Ua(ct)+(ct.title.standoff||0)),ct.mirror&&ct.anchor!==\"free\"&&(au={x:0,y:0,r:0,l:0,t:0,b:0},au[ro]=ct.linewidth,ct.mirror&&ct.mirror!==!0&&(au[ro]+=al),ct.mirror===!0||ct.mirror===\"ticks\"?au[fa]=ct._anchorAxis.domain[Ns[1]]:(ct.mirror===\"all\"||ct.mirror===\"allticks\")&&(au[fa]=[ct._counterDomainMin,ct._counterDomainMax][Ns[1]]))}Sn&&(fl=M.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(xt,ct)),typeof ct.automargin==\"string\"&&(at(zs,ct.automargin),at(au,ct.automargin)),A.autoMargin(xt,Ci(ct),zs),A.autoMargin(xt,Jt(ct),au),A.autoMargin(xt,Nt(ct),fl)}),e.syncOrAsync(Is)}};function at(xt,ct){if(xt){var Nr=Object.keys(W).reduce(function(Or,Rr){return ct.indexOf(Rr)!==-1&&W[Rr].forEach(function(Lr){Or[Lr]=1}),Or},{});Object.keys(xt).forEach(function(Or){Nr[Or]||(Or.length===1?xt[Or]=0:delete xt[Or])})}}function 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Nr=xt._fullLayout._size,Or=ct._id.charAt(0),Rr=ct.side,Lr;if(ct.anchor!==\"free\"?Lr=ct._anchorAxis:Or===\"x\"?Lr={_offset:Nr.t+(1-(ct.position||0))*Nr.h,_length:0}:Or===\"y\"&&(Lr={_offset:Nr.l+(ct.position||0)*Nr.w+ct._shift,_length:0}),Rr===\"top\"||Rr===\"left\")return Lr._offset;if(Rr===\"bottom\"||Rr===\"right\")return Lr._offset+Lr._length};function Ua(xt){var ct=xt.title.font.size,Nr=(xt.title.text.match(r.BR_TAG_ALL)||[]).length;return xt.title.hasOwnProperty(\"standoff\")?ct*(le+Nr*he):Nr?ct*(Nr+1)*he:ct}function Ba(xt,ct){var Nr=xt._fullLayout,Or=ct._id,Rr=Or.charAt(0),Lr=ct.title.font.size,Gr,Kr=(ct.title.text.match(r.BR_TAG_ALL)||[]).length;if(ct.title.hasOwnProperty(\"standoff\"))ct.side===\"bottom\"||ct.side===\"right\"?Gr=ct._depth+ct.title.standoff+Lr*le:(ct.side===\"top\"||ct.side===\"left\")&&(Gr=ct._depth+ct.title.standoff+Lr*(ue+Kr*he));else{var Ur=Ia(ct);if(ct.type===\"multicategory\")Gr=ct._depth;else{var 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st=Fe.y0-Fe.by/2;st-tt<lt?Fe.offset=lt-st+tt:Fe.offset=0,lt=st+Fe.by+Fe.offset,rt===re.anchorIndex&&(Ee=Fe.offset)}).each(function(Fe){Fe.offset-=Ee});var _e=be._fullLayout._invScaleX,fe=be._fullLayout._invScaleY;return W(ot,Xe,_e,fe),ce?ot:ot.node()};function L(j,ee,re,ce,be){re||(re=\"xy\"),typeof re==\"string\"&&(re=re.split(f)[0]);var Ae=Array.isArray(re)?re:[re],ze,Re=j._fullLayout,Xe=Re.hoversubplots,it=Re._plots||[],ot=it[re],tt=Re._has(\"cartesian\"),lt=ee.hovermode||Re.hovermode,Ee=(lt||\"\").charAt(0)===\"x\",_e=(lt||\"\").charAt(0)===\"y\",fe,Fe;if(tt&&(Ee||_e)&&Xe===\"axis\"){for(var rt=Ae.length,st=0;st<rt;st++)if(ze=Ae[st],it[ze]){fe=c.getFromId(j,ze,\"x\"),Fe=c.getFromId(j,ze,\"y\");var Qe=(Ee?fe:Fe)._subplotsWith;if(Qe&&Qe.length)for(var Lt=0;Lt<Qe.length;Lt++)M(Ae,Qe[Lt])}}if(ot&&Xe!==\"single\"){var kt=ot.overlays.map(function(pn){return pn.id});Ae=Ae.concat(kt)}for(var Vt=Ae.length,Zt=new Array(Vt),Sr=new Array(Vt),xr=!1,jr=0;jr<Vt;jr++)if(ze=Ae[jr],it[ze])xr=!0,Zt[jr]=it[ze].xaxis,Sr[jr]=it[ze].yaxis;else if(Re[ze]&&Re[ze]._subplot){var wr=Re[ze]._subplot;Zt[jr]=wr.xaxis,Sr[jr]=wr.yaxis}else{A.warn(\"Unrecognized subplot: \"+ze);return}if(lt&&!xr&&(lt=\"closest\"),[\"x\",\"y\",\"closest\",\"x unified\",\"y unified\"].indexOf(lt)===-1||!j.calcdata||j.querySelector(\".zoombox\")||j._dragging)return s.unhoverRaw(j,ee);var Ir=Re.hoverdistance;Ir===-1&&(Ir=1/0);var bt=Re.spikedistance;bt===-1&&(bt=1/0);var Be=[],Ke=[],Ue,Me,qe,Ce,Te,Pe,at,yt,Tt,Ot,Gt,rr,Qt,Tr={hLinePoint:null,vLinePoint:null},la=!1;if(Array.isArray(ee))for(lt=\"array\",qe=0;qe<ee.length;qe++)Te=j.calcdata[ee[qe].curveNumber||0],Te&&(Pe=Te[0].trace,Te[0].trace.hoverinfo!==\"skip\"&&(Ke.push(Te),Pe.orientation===\"h\"&&(la=!0)));else{var Ua=j.calcdata.slice();for(Ua.sort(function(pn,Jo){var Xo=pn[0].trace.zorder||0,Ts=Jo[0].trace.zorder||0;return Xo-Ts}),Ce=0;Ce<Ua.length;Ce++)Te=Ua[Ce],Pe=Te[0].trace,Pe.hoverinfo!==\"skip\"&&v.isTraceInSubplots(Pe,Ae)&&(Ke.push(Te),Pe.orientation===\"h\"&&(la=!0));var Ba=!be,Ra,ei;if(Ba)\"xpx\"in ee?Ra=ee.xpx:Ra=Zt[0]._length/2,\"ypx\"in ee?ei=ee.ypx:ei=Sr[0]._length/2;else{if(r.triggerHandler(j,\"plotly_beforehover\",ee)===!1)return;var za=be.getBoundingClientRect();Ra=ee.clientX-za.left,ei=ee.clientY-za.top,Re._calcInverseTransform(j);var ti=A.apply3DTransform(Re._invTransform)(Ra,ei);if(Ra=ti[0],ei=ti[1],Ra<0||Ra>Zt[0]._length||ei<0||ei>Sr[0]._length)return s.unhoverRaw(j,ee)}if(ee.pointerX=Ra+Zt[0]._offset,ee.pointerY=ei+Sr[0]._offset,\"xval\"in ee?Ue=v.flat(Ae,ee.xval):Ue=v.p2c(Zt,Ra),\"yval\"in ee?Me=v.flat(Ae,ee.yval):Me=v.p2c(Sr,ei),!d(Ue[0])||!d(Me[0]))return A.warn(\"Fx.hover failed\",ee,j),s.unhoverRaw(j,ee)}var Ci=1/0;function Jt(pn,Jo){for(Ce=0;Ce<Ke.length;Ce++)if(Te=Ke[Ce],!(!Te||!Te[0]||!Te[0].trace)&&(Pe=Te[0].trace,!(Pe.visible!==!0||Pe._length===0)&&[\"carpet\",\"contourcarpet\"].indexOf(Pe._module.name)===-1)){if(Tt=lt,v.isUnifiedHover(Tt)&&(Tt=Tt.charAt(0)),Pe.type===\"splom\"?(yt=0,at=Ae[yt]):(at=v.getSubplot(Pe),yt=Ae.indexOf(at)),rr={cd:Te,trace:Pe,xa:Zt[yt],ya:Sr[yt],maxHoverDistance:Ir,maxSpikeDistance:bt,index:!1,distance:Math.min(Ci,Ir),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:n.defaultLine,name:Pe.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},Re[at]&&(rr.subplot=Re[at]._subplot),Re._splomScenes&&Re._splomScenes[Pe.uid]&&(rr.scene=Re._splomScenes[Pe.uid]),Tt===\"array\"){var Xo=ee[Ce];\"pointNumber\"in Xo?(rr.index=Xo.pointNumber,Tt=\"closest\"):(Tt=\"\",\"xval\"in Xo&&(Ot=Xo.xval,Tt=\"x\"),\"yval\"in Xo&&(Gt=Xo.yval,Tt=Tt?\"closest\":\"y\"))}else pn!==void 0&&Jo!==void 0?(Ot=pn,Gt=Jo):(Ot=Ue[yt],Gt=Me[yt]);if(Qt=Be.length,Ir!==0)if(Pe._module&&Pe._module.hoverPoints){var Ts=Pe._module.hoverPoints(rr,Ot,Gt,Tt,{finiteRange:!0,hoverLayer:Re._hoverlayer,hoversubplots:Xe,gd:j});if(Ts)for(var Po,so=0;so<Ts.length;so++)Po=Ts[so],d(Po.x0)&&d(Po.y0)&&Be.push(Q(Po,lt))}else A.log(\"Unrecognized trace type in hover:\",Pe);if(lt===\"closest\"&&Be.length>Qt&&(Be.splice(0,Qt),Ci=Be[0].distance),tt&&bt!==0&&Be.length===0){rr.distance=bt,rr.index=!1;var Vn=Pe._module.hoverPoints(rr,Ot,Gt,\"closest\",{hoverLayer:Re._hoverlayer});if(Vn&&(Vn=Vn.filter(function(os){return os.spikeDistance<=bt})),Vn&&Vn.length){var To,qo=Vn.filter(function(os){return os.xa.showspikes&&os.xa.spikesnap!==\"hovered data\"});if(qo.length){var Oo=qo[0];d(Oo.x0)&&d(Oo.y0)&&(To=Kt(Oo),(!Tr.vLinePoint||Tr.vLinePoint.spikeDistance>To.spikeDistance)&&(Tr.vLinePoint=To))}var lo=Vn.filter(function(os){return os.ya.showspikes&&os.ya.spikesnap!==\"hovered data\"});if(lo.length){var Co=lo[0];d(Co.x0)&&d(Co.y0)&&(To=Kt(Co),(!Tr.hLinePoint||Tr.hLinePoint.spikeDistance>To.spikeDistance)&&(Tr.hLinePoint=To))}}}}}Jt();function Nt(pn,Jo,Xo){for(var Ts=null,Po=1/0,so,Vn=0;Vn<pn.length;Vn++)fe&&fe._id!==pn[Vn].xa._id||Fe&&Fe._id!==pn[Vn].ya._id||(so=pn[Vn].spikeDistance,Xo&&Vn===0&&(so=-1/0),so<=Po&&so<=Jo&&(Ts=pn[Vn],Po=so));return Ts}function Kt(pn){return pn?{xa:pn.xa,ya:pn.ya,x:pn.xSpike!==void 0?pn.xSpike:(pn.x0+pn.x1)/2,y:pn.ySpike!==void 0?pn.ySpike:(pn.y0+pn.y1)/2,distance:pn.distance,spikeDistance:pn.spikeDistance,curveNumber:pn.trace.index,color:pn.color,pointNumber:pn.index}:null}var Wt={fullLayout:Re,container:Re._hoverlayer,event:ee},Pr=j._spikepoints,ta={vLinePoint:Tr.vLinePoint,hLinePoint:Tr.hLinePoint};j._spikepoints=ta;var ma=function(){var pn=Be.filter(function(Xo){return fe&&fe._id===Xo.xa._id&&Fe&&Fe._id===Xo.ya._id}),Jo=Be.filter(function(Xo){return!(fe&&fe._id===Xo.xa._id&&Fe&&Fe._id===Xo.ya._id)});pn.sort(P),Jo.sort(P),Be=pn.concat(Jo),Be=$(Be,lt)};ma();var ra=lt.charAt(0),Ia=(ra===\"x\"||ra===\"y\")&&Be[0]&&h[Be[0].trace.type];if(tt&&bt!==0&&Be.length!==0){var Ha=Be.filter(function(pn){return pn.ya.showspikes}),$a=Nt(Ha,bt,Ia);Tr.hLinePoint=Kt($a);var ai=Be.filter(function(pn){return pn.xa.showspikes}),mi=Nt(ai,bt,Ia);Tr.vLinePoint=Kt(mi)}if(Be.length===0){var xt=s.unhoverRaw(j,ee);return tt&&(Tr.hLinePoint!==null||Tr.vLinePoint!==null)&&he(Pr)&&ue(j,Tr,Wt),xt}if(tt&&he(Pr)&&ue(j,Tr,Wt),v.isXYhover(Tt)&&Be[0].length!==0&&Be[0].trace.type!==\"splom\"){var ct=Be[0];m[ct.trace.type]?Be=Be.filter(function(pn){return pn.trace.index===ct.trace.index}):Be=[ct];var Nr=Be.length,Or=J(\"x\",ct,Re),Rr=J(\"y\",ct,Re);Jt(Or,Rr);var Lr=[],Gr={},Kr=0,Ur=function(pn){var Jo=m[pn.trace.type]?z(pn):pn.trace.index;if(!Gr[Jo])Kr++,Gr[Jo]=Kr,Lr.push(pn);else{var Xo=Gr[Jo]-1,Ts=Lr[Xo];Xo>0&&Math.abs(pn.distance)<Math.abs(Ts.distance)&&(Lr[Xo]=pn)}},aa;for(aa=0;aa<Nr;aa++)Ur(Be[aa]);for(aa=Be.length-1;aa>Nr-1;aa--)Ur(Be[aa]);Be=Lr,ma()}var da=j._hoverdata,fa=[],It=X(j),dr=oe(j);for(qe=0;qe<Be.length;qe++){var kr=Be[qe],ia=v.makeEventData(kr,kr.trace,kr.cd);if(kr.hovertemplate!==!1){var Ca=!1;kr.cd[kr.index]&&kr.cd[kr.index].ht&&(Ca=kr.cd[kr.index].ht),kr.hovertemplate=Ca||kr.trace.hovertemplate||!1}if(kr.xa&&kr.ya){var Fa=kr.x0+kr.xa._offset,Ya=kr.x1+kr.xa._offset,ha=kr.y0+kr.ya._offset,Da=kr.y1+kr.ya._offset,Xi=Math.min(Fa,Ya),Li=Math.max(Fa,Ya),fn=Math.min(ha,Da),An=Math.max(ha,Da);ia.bbox={x0:Xi+dr,x1:Li+dr,y0:fn+It,y1:An+It}}kr.eventData=[ia],fa.push(ia)}j._hoverdata=fa;var kn=lt===\"y\"&&(Ke.length>1||Be.length>1)||lt===\"closest\"&&la&&Be.length>1,zn=n.combine(Re.plot_bgcolor||n.background,Re.paper_bgcolor),Xn=B(Be,{gd:j,hovermode:lt,rotateLabels:kn,bgColor:zn,container:Re._hoverlayer,outerContainer:Re._paper.node(),commonLabelOpts:Re.hoverlabel,hoverdistance:Re.hoverdistance}),to=Xn.hoverLabels;if(v.isUnifiedHover(lt)||(I(to,kn,Re,Xn.commonLabelBoundingBox),W(to,kn,Re._invScaleX,Re._invScaleY)),be&&be.tagName){var mo=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(j,fa);a(q.select(be),mo?\"pointer\":\"\")}!be||ce||!le(j,ee,da)||(da&&j.emit(\"plotly_unhover\",{event:ee,points:da}),j.emit(\"plotly_hover\",{event:ee,points:j._hoverdata,xaxes:Zt,yaxes:Sr,xvals:Ue,yvals:Me}))}function z(j){return[j.trace.index,j.index,j.x0,j.y0,j.name,j.attr,j.xa?j.xa._id:\"\",j.ya?j.ya._id:\"\"].join(\",\")}var F=/<extra>([\\s\\S]*)<\\/extra>/;function B(j,ee){var re=ee.gd,ce=re._fullLayout,be=ee.hovermode,Ae=ee.rotateLabels,ze=ee.bgColor,Re=ee.container,Xe=ee.outerContainer,it=ee.commonLabelOpts||{};if(j.length===0)return[[]];var ot=ee.fontFamily||T.HOVERFONT,tt=ee.fontSize||T.HOVERFONTSIZE,lt=ee.fontWeight||ce.font.weight,Ee=ee.fontStyle||ce.font.style,_e=ee.fontVariant||ce.font.variant,fe=ee.fontTextcase||ce.font.textcase,Fe=ee.fontLineposition||ce.font.lineposition,rt=ee.fontShadow||ce.font.shadow,st=j[0],Qe=st.xa,Lt=st.ya,kt=be.charAt(0),Vt=kt+\"Label\",Zt=st[Vt];if(Zt===void 0&&Qe.type===\"multicategory\")for(var Sr=0;Sr<j.length&&(Zt=j[Sr][Vt],Zt===void 0);Sr++);var xr=ie(re,Xe),jr=xr.top,wr=xr.width,Ir=xr.height,bt=Zt!==void 0&&st.distance<=ee.hoverdistance&&(be===\"x\"||be===\"y\");if(bt){var Be=!0,Ke,Ue;for(Ke=0;Ke<j.length;Ke++)if(Be&&j[Ke].zLabel===void 0&&(Be=!1),Ue=j[Ke].hoverinfo||j[Ke].trace.hoverinfo,Ue){var Me=Array.isArray(Ue)?Ue:Ue.split(\"+\");if(Me.indexOf(\"all\")===-1&&Me.indexOf(be)===-1){bt=!1;break}}Be&&(bt=!1)}var qe=Re.selectAll(\"g.axistext\").data(bt?[0]:[]);qe.enter().append(\"g\").classed(\"axistext\",!0),qe.exit().remove();var Ce={minX:0,maxX:0,minY:0,maxY:0};if(qe.each(function(){var ct=q.select(this),Nr=A.ensureSingle(ct,\"path\",\"\",function(An){An.style({\"stroke-width\":\"1px\"})}),Or=A.ensureSingle(ct,\"text\",\"\",function(An){An.attr(\"data-notex\",1)}),Rr=it.bgcolor||n.defaultLine,Lr=it.bordercolor||n.contrast(Rr),Gr=n.contrast(Rr),Kr=it.font,Ur={weight:Kr.weight||lt,style:Kr.style||Ee,variant:Kr.variant||_e,textcase:Kr.textcase||fe,lineposition:Kr.lineposition||Fe,shadow:Kr.shadow||rt,family:Kr.family||ot,size:Kr.size||tt,color:Kr.color||Gr};Nr.style({fill:Rr,stroke:Lr}),Or.text(Zt).call(i.font,Ur).call(o.positionText,0,0).call(o.convertToTspans,re),ct.attr(\"transform\",\"\");var aa=ie(re,Or.node()),da,fa;if(be===\"x\"){var It=Qe.side===\"top\"?\"-\":\"\";Or.attr(\"text-anchor\",\"middle\").call(o.positionText,0,Qe.side===\"top\"?jr-aa.bottom-p-u:jr-aa.top+p+u),da=Qe._offset+(st.x0+st.x1)/2,fa=Lt._offset+(Qe.side===\"top\"?0:Lt._length);var dr=aa.width/2+u,kr=da;da<dr?kr=dr:da>ce.width-dr&&(kr=ce.width-dr),Nr.attr(\"d\",\"M\"+(da-kr)+\",0L\"+(da-kr+p)+\",\"+It+p+\"H\"+dr+\"v\"+It+(u*2+aa.height)+\"H\"+-dr+\"V\"+It+p+\"H\"+(da-kr-p)+\"Z\"),da=kr,Ce.minX=da-dr,Ce.maxX=da+dr,Qe.side===\"top\"?(Ce.minY=fa-(u*2+aa.height),Ce.maxY=fa-u):(Ce.minY=fa+u,Ce.maxY=fa+(u*2+aa.height))}else{var ia,Ca,Fa;Lt.side===\"right\"?(ia=\"start\",Ca=1,Fa=\"\",da=Qe._offset+Qe._length):(ia=\"end\",Ca=-1,Fa=\"-\",da=Qe._offset),fa=Lt._offset+(st.y0+st.y1)/2,Or.attr(\"text-anchor\",ia),Nr.attr(\"d\",\"M0,0L\"+Fa+p+\",\"+p+\"V\"+(u+aa.height/2)+\"h\"+Fa+(u*2+aa.width)+\"V-\"+(u+aa.height/2)+\"H\"+Fa+p+\"V-\"+p+\"Z\"),Ce.minY=fa-(u+aa.height/2),Ce.maxY=fa+(u+aa.height/2),Lt.side===\"right\"?(Ce.minX=da+p,Ce.maxX=da+p+(u*2+aa.width)):(Ce.minX=da-p-(u*2+aa.width),Ce.maxX=da-p);var Ya=aa.height/2,ha=jr-aa.top-Ya,Da=\"clip\"+ce._uid+\"commonlabel\"+Lt._id,Xi;if(da<aa.width+2*u+p){Xi=\"M-\"+(p+u)+\"-\"+Ya+\"h-\"+(aa.width-u)+\"V\"+Ya+\"h\"+(aa.width-u)+\"Z\";var Li=aa.width-da+u;o.positionText(Or,Li,ha),ia===\"end\"&&Or.selectAll(\"tspan\").each(function(){var An=q.select(this),kn=i.tester.append(\"text\").text(An.text()).call(i.font,Ur),zn=ie(re,kn.node());Math.round(zn.width)<Math.round(aa.width)&&An.attr(\"x\",Li-zn.width),kn.remove()})}else o.positionText(Or,Ca*(u+p),ha),Xi=null;var fn=ce._topclips.selectAll(\"#\"+Da).data(Xi?[0]:[]);fn.enter().append(\"clipPath\").attr(\"id\",Da).append(\"path\"),fn.exit().remove(),fn.select(\"path\").attr(\"d\",Xi),i.setClipUrl(Or,Xi?Da:null,re)}ct.attr(\"transform\",e(da,fa))}),v.isUnifiedHover(be)){Re.selectAll(\"g.hovertext\").remove();var Te=j.filter(function(ct){return ct.hoverinfo!==\"none\"});if(Te.length===0)return[];var Pe=ce.hoverlabel,at=Pe.font,yt=Te[0],Tt=((be===\"x unified\"?yt.xa:yt.ya).unifiedhovertitle||{}).text,Ot=Tt?A.hovertemplateString(Tt,{},ce._d3locale,be===\"x unified\"?{xa:yt.xa,x:yt.xVal}:{ya:yt.ya,y:yt.yVal}):Zt,Gt={showlegend:!0,legend:{title:{text:Ot,font:at},font:at,bgcolor:Pe.bgcolor,bordercolor:Pe.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:ce.legend?ce.legend.traceorder:void 0,orientation:\"v\"}},rr={font:at};l(Gt,rr,re._fullData);var Qt=rr.legend;Qt.entries=[];for(var Tr=0;Tr<Te.length;Tr++){var la=Te[Tr];if(la.hoverinfo!==\"none\"){var Ua=O(la,!0,be,ce,Zt),Ba=Ua[0],Ra=Ua[1];la.name=Ra,Ra!==\"\"?la.text=Ra+\" : \"+Ba:la.text=Ba;var ei=la.cd[la.index];ei&&(ei.mc&&(la.mc=ei.mc),ei.mcc&&(la.mc=ei.mcc),ei.mlc&&(la.mlc=ei.mlc),ei.mlcc&&(la.mlc=ei.mlcc),ei.mlw&&(la.mlw=ei.mlw),ei.mrc&&(la.mrc=ei.mrc),ei.dir&&(la.dir=ei.dir)),la._distinct=!0,Qt.entries.push([la])}}Qt.entries.sort(function(ct,Nr){return ct[0].trace.index-Nr[0].trace.index}),Qt.layer=Re,Qt._inHover=!0,Qt._groupTitleFont=Pe.grouptitlefont,_(re,Qt);var za=Re.select(\"g.legend\"),ti=ie(re,za.node()),Ci=ti.width+2*u,Jt=ti.height+2*u,Nt=Te[0],Kt=(Nt.x0+Nt.x1)/2,Wt=(Nt.y0+Nt.y1)/2,Pr=!(g.traceIs(Nt.trace,\"bar-like\")||g.traceIs(Nt.trace,\"box-violin\")),ta,ma;kt===\"y\"?Pr?(ma=Wt-u,ta=Wt+u):(ma=Math.min.apply(null,Te.map(function(ct){return Math.min(ct.y0,ct.y1)})),ta=Math.max.apply(null,Te.map(function(ct){return Math.max(ct.y0,ct.y1)}))):ma=ta=A.mean(Te.map(function(ct){return(ct.y0+ct.y1)/2}))-Jt/2;var ra,Ia;kt===\"x\"?Pr?(ra=Kt+u,Ia=Kt-u):(ra=Math.max.apply(null,Te.map(function(ct){return Math.max(ct.x0,ct.x1)})),Ia=Math.min.apply(null,Te.map(function(ct){return Math.min(ct.x0,ct.x1)}))):ra=Ia=A.mean(Te.map(function(ct){return(ct.x0+ct.x1)/2}))-Ci/2;var Ha=Qe._offset,$a=Lt._offset;ta+=$a,ra+=Ha,Ia+=Ha-Ci,ma+=$a-Jt;var ai,mi;return ra+Ci<wr&&ra>=0?ai=ra:Ia+Ci<wr&&Ia>=0?ai=Ia:Ha+Ci<wr?ai=Ha:ra-Kt<Kt-Ia+Ci?ai=wr-Ci:ai=0,ai+=u,ta+Jt<Ir&&ta>=0?mi=ta:ma+Jt<Ir&&ma>=0?mi=ma:$a+Jt<Ir?mi=$a:ta-Wt<Wt-ma+Jt?mi=Ir-Jt:mi=0,mi+=u,za.attr(\"transform\",e(ai-1,mi-1)),za}var xt=Re.selectAll(\"g.hovertext\").data(j,function(ct){return z(ct)});return xt.enter().append(\"g\").classed(\"hovertext\",!0).each(function(){var ct=q.select(this);ct.append(\"rect\").call(n.fill,n.addOpacity(ze,.8)),ct.append(\"text\").classed(\"name\",!0),ct.append(\"path\").style(\"stroke-width\",\"1px\"),ct.append(\"text\").classed(\"nums\",!0).call(i.font,{weight:lt,style:Ee,variant:_e,textcase:fe,lineposition:Fe,shadow:rt,family:ot,size:tt})}),xt.exit().remove(),xt.each(function(ct){var Nr=q.select(this).attr(\"transform\",\"\"),Or=ct.color;Array.isArray(Or)&&(Or=Or[ct.eventData[0].pointNumber]);var Rr=ct.bgcolor||Or,Lr=n.combine(n.opacity(Rr)?Rr:n.defaultLine,ze),Gr=n.combine(n.opacity(Or)?Or:n.defaultLine,ze),Kr=ct.borderColor||n.contrast(Lr),Ur=O(ct,bt,be,ce,Zt,Nr),aa=Ur[0],da=Ur[1],fa=Nr.select(\"text.nums\").call(i.font,{family:ct.fontFamily||ot,size:ct.fontSize||tt,color:ct.fontColor||Kr,weight:ct.fontWeight||lt,style:ct.fontStyle||Ee,variant:ct.fontVariant||_e,textcase:ct.fontTextcase||fe,lineposition:ct.fontLineposition||Fe,shadow:ct.fontShadow||rt}).text(aa).attr(\"data-notex\",1).call(o.positionText,0,0).call(o.convertToTspans,re),It=Nr.select(\"text.name\"),dr=0,kr=0;if(da&&da!==aa){It.call(i.font,{family:ct.fontFamily||ot,size:ct.fontSize||tt,color:Gr,weight:ct.fontWeight||lt,style:ct.fontStyle||Ee,variant:ct.fontVariant||_e,textcase:ct.fontTextcase||fe,lineposition:ct.fontLineposition||Fe,shadow:ct.fontShadow||rt}).text(da).attr(\"data-notex\",1).call(o.positionText,0,0).call(o.convertToTspans,re);var ia=ie(re,It.node());dr=ia.width+2*u,kr=ia.height+2*u}else 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d.coerce(o,a,M,s,c)}i(\"orientation\"),i(\"bgcolor\",x.addOpacity(r.paper_bgcolor,.5));var n=x.contrast(x.rgb(r.modebar.bgcolor));i(\"color\",x.addOpacity(n,.3)),i(\"activecolor\",x.addOpacity(n,.7)),i(\"uirevision\",r.uirevision),i(\"add\"),i(\"remove\")}}}),bz=Ze({\"src/components/modebar/modebar.js\"(Z,q){\"use strict\";var d=On(),x=ns(),A=ca(),M=w2(),e=Eh().version,t=new DOMParser;function r(n){this.container=n.container,this.element=document.createElement(\"div\"),this.update(n.graphInfo,n.buttons),this.container.appendChild(this.element)}var o=r.prototype;o.update=function(n,s){this.graphInfo=n;var c=this.graphInfo._context,f=this.graphInfo._fullLayout,g=\"modebar-\"+f._uid;this.element.setAttribute(\"id\",g),this.element.setAttribute(\"role\",\"toolbar\"),this._uid=g,this.element.className=\"modebar modebar--custom\",c.displayModeBar===\"hover\"&&(this.element.className+=\" modebar--hover ease-bg\"),f.modebar.orientation===\"v\"&&(this.element.className+=\" 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f.setAttribute(\"height\",\"1em\"),f.setAttribute(\"width\",\"1em\"),f},o.updateActiveButton=function(n){var s=this.graphInfo._fullLayout,c=n!==void 0?n.getAttribute(\"data-attr\"):null;this.buttonElements.forEach(function(f){var g=f.getAttribute(\"data-val\")||!0,v=f.getAttribute(\"data-attr\"),T=f.getAttribute(\"data-toggle\")===\"true\",l=d.select(f),_=function(E,y){var b=s.modebar,p=E.querySelector(\".icon path\");p&&(y||E.matches(\":hover\")?p.style.fill=b.activecolor:p.style.fill=b.color)};if(T){if(v===c){var w=!l.classed(\"active\");l.classed(\"active\",w),_(f,w)}}else{var S=v===null?v:A.nestedProperty(s,v).get();l.classed(\"active\",S===g),_(f,S===g)}})},o.hasButtons=function(n){var s=this.buttons;if(!s||n.length!==s.length)return!1;for(var c=0;c<n.length;++c){if(n[c].length!==s[c].length)return!1;for(var f=0;f<n[c].length;f++)if(n[c][f].name!==s[c][f].name)return!1}return!0};function a(n){return n+\" (v\"+e+\")\"}o.getLogo=function(){var n=this.createGroup(),s=document.createElement(\"a\");return s.href=\"https://plotly.com/\",s.target=\"_blank\",s.setAttribute(\"data-title\",a(A._(this.graphInfo,\"Produced with Plotly.js\"))),s.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",s.appendChild(this.createIcon(M.newplotlylogo)),n.appendChild(s),n},o.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},o.destroy=function(){A.removeElement(this.container.querySelector(\".modebar\"))};function i(n,s){var c=n._fullLayout,f=new r({graphInfo:n,container:c._modebardiv.node(),buttons:s});return c._privateplot&&d.select(f.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),f}q.exports=i}}),wz=Ze({\"src/components/modebar/manage.js\"(Z,q){\"use strict\";var d=$c(),x=Fu(),A=oo(),M=Qp().isUnifiedHover,e=bz(),t=w5(),r=T5().DRAW_MODES,o=ca().extendDeep;q.exports=function(v){var T=v._fullLayout,l=v._context,_=T._modeBar;if(!l.displayModeBar&&!l.watermark){_&&(_.destroy(),delete T._modeBar);return}if(!Array.isArray(l.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(l.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var w=l.modeBarButtons,S;Array.isArray(w)&&w.length?S=f(w):!l.displayModeBar&&l.watermark?S=[]:S=a(v),_?_.update(v,S):T._modeBar=e(v,S)};function a(g){var v=g._fullLayout,T=g._fullData,l=g._context;function _(j,ee){if(typeof ee==\"string\"){if(ee.toLowerCase()===j.toLowerCase())return!0}else{var re=ee.name,ce=ee._cat||ee.name;if(re===j||ce===j.toLowerCase())return!0}return!1}var w=v.modebar.add;typeof w==\"string\"&&(w=[w]);var S=v.modebar.remove;typeof S==\"string\"&&(S=[S]);var E=l.modeBarButtonsToAdd.concat(w.filter(function(j){for(var ee=0;ee<l.modeBarButtonsToRemove.length;ee++)if(_(j,l.modeBarButtonsToRemove[ee]))return!1;return!0})),y=l.modeBarButtonsToRemove.concat(S.filter(function(j){for(var ee=0;ee<l.modeBarButtonsToAdd.length;ee++)if(_(j,l.modeBarButtonsToAdd[ee]))return!1;return!0})),b=v._has(\"cartesian\"),p=v._has(\"gl3d\"),u=v._has(\"geo\"),m=v._has(\"pie\"),h=v._has(\"funnelarea\"),P=v._has(\"ternary\"),L=v._has(\"mapbox\"),z=v._has(\"map\"),F=v._has(\"polar\"),B=v._has(\"smith\"),O=v._has(\"sankey\"),I=i(v),N=M(v.hovermode),U=[];function W(j){if(j.length){for(var ee=[],re=0;re<j.length;re++){for(var ce=j[re],be=t[ce],Ae=be.name.toLowerCase(),ze=(be._cat||be.name).toLowerCase(),Re=!1,Xe=0;Xe<y.length;Xe++){var it=y[Xe].toLowerCase();if(it===Ae||it===ze){Re=!0;break}}Re||ee.push(t[ce])}U.push(ee)}}var Q=[\"toImage\"];l.showEditInChartStudio?Q.push(\"editInChartStudio\"):l.showSendToCloud&&Q.push(\"sendDataToCloud\"),W(Q);var ue=[],le=[],he=[],G=[];(b||m||h||P)+u+p+L+z+F+B>1?(le=[\"toggleHover\"],he=[\"resetViews\"]):u?(ue=[\"zoomInGeo\",\"zoomOutGeo\"],le=[\"hoverClosestGeo\"],he=[\"resetGeo\"]):p?(le=[\"hoverClosest3d\"],he=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):L?(ue=[\"zoomInMapbox\",\"zoomOutMapbox\"],le=[\"toggleHover\"],he=[\"resetViewMapbox\"]):z?(ue=[\"zoomInMap\",\"zoomOutMap\"],le=[\"toggleHover\"],he=[\"resetViewMap\"]):m?le=[\"hoverClosestPie\"]:O?(le=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],he=[\"resetViewSankey\"]):le=[\"toggleHover\"],b&&le.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(s(T)||N)&&(le=[]),b&&!I&&(ue=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],he[0]!==\"resetViews\"&&(he=[\"resetScale2d\"])),p?G=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:b&&!I||P?G=[\"zoom2d\",\"pan2d\"]:L||z||u?G=[\"pan2d\"]:F&&(G=[\"zoom2d\"]),n(T)&&G.push(\"select2d\",\"lasso2d\");var $=[],J=function(j){$.indexOf(j)===-1&&le.indexOf(j)!==-1&&$.push(j)};if(Array.isArray(E)){for(var X=[],oe=0;oe<E.length;oe++){var ie=E[oe];typeof ie==\"string\"?(ie=ie.toLowerCase(),r.indexOf(ie)!==-1?(v._has(\"mapbox\")||v._has(\"map\")||v._has(\"cartesian\"))&&G.push(ie):ie===\"togglespikelines\"?J(\"toggleSpikelines\"):ie===\"togglehover\"?J(\"toggleHover\"):ie===\"hovercompare\"?J(\"hoverCompareCartesian\"):ie===\"hoverclosest\"?(J(\"hoverClosestCartesian\"),J(\"hoverClosestGeo\"),J(\"hoverClosest3d\"),J(\"hoverClosestPie\")):ie===\"v1hovermode\"&&(J(\"hoverClosestCartesian\"),J(\"hoverCompareCartesian\"),J(\"hoverClosestGeo\"),J(\"hoverClosest3d\"),J(\"hoverClosestPie\"))):X.push(ie)}E=X}return W(G),W(ue.concat(he)),W($),c(U,E)}function i(g){for(var v=d.list({_fullLayout:g},null,!0),T=0;T<v.length;T++){var l=v[T].modebardisable;if(!v[T].fixedrange&&l!==\"autoscale+zoominout\"&&l!==\"zoominout+autoscale\")return!1}return!0}function n(g){for(var v=!1,T=0;T<g.length&&!v;T++){var l=g[T];!l._module||!l._module.selectPoints||(A.traceIs(l,\"scatter-like\")?(x.hasMarkers(l)||x.hasText(l))&&(v=!0):A.traceIs(l,\"box-violin\")?(l.boxpoints===\"all\"||l.points===\"all\")&&(v=!0):v=!0)}return v}function s(g){for(var v=0;v<g.length;v++)if(!A.traceIs(g[v],\"noHover\"))return!1;return!0}function c(g,v){if(v.length)if(Array.isArray(v[0]))for(var T=0;T<v.length;T++)g.push(v[T]);else g.push(v);return g}function f(g){for(var v=o([],g),T=0;T<v.length;T++)for(var l=v[T],_=0;_<l.length;_++){var w=l[_];if(typeof w==\"string\")if(t[w]!==void 0)v[T][_]=t[w];else throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"))}return v}}}),S5=Ze({\"src/components/modebar/index.js\"(Z,q){\"use strict\";q.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:A5(),supplyLayoutDefaults:xz(),manage:wz()}}}),M5=Ze({\"src/plots/cartesian/scale_zoom.js\"(Z,q){\"use strict\";var d=mh().FROM_BL;q.exports=function(A,M,e){e===void 0&&(e=d[A.constraintoward||\"center\"]);var t=[A.r2l(A.range[0]),A.r2l(A.range[1])],r=t[0]+(t[1]-t[0])*e;A.range=A._input.range=[A.l2r(r+(t[0]-r)*M),A.l2r(r+(t[1]-r)*M)],A.setScale()}}}),Y0=Ze({\"src/plots/cartesian/constraints.js\"(Z){\"use strict\";var q=ca(),d=Yd(),x=$c().id2name,A=Wh(),M=M5(),e=wv(),t=qs().ALMOST_EQUAL,r=mh().FROM_BL;Z.handleDefaults=function(g,v,T){var l=T.axIds,_=T.axHasImage,w=v._axisConstraintGroups=[],S=v._axisMatchGroups=[],E,y,b,p,u,m,h,P;for(E=0;E<l.length;E++)p=x(l[E]),u=g[p],m=v[p],o(u,m,{axIds:l,layoutOut:v,hasImage:_[p]});function L(Q,ue){for(E=0;E<Q.length;E++){y=Q[E];for(b in y)v[x(b)][ue]=y}}for(L(S,\"_matchGroup\"),E=0;E<w.length;E++){y=w[E];for(b in y)if(m=v[x(b)],m.fixedrange){for(var z in y){var F=x(z);(g[F]||{}).fixedrange===!1&&q.warn(\"fixedrange was specified as false for axis \"+F+\" but was overridden because another axis in its constraint group has fixedrange true\"),v[F].fixedrange=!0}break}}for(E=0;E<w.length;){y=w[E];for(b in 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l=T.axIds,_=T.layoutOut,w=T.hasImage,S=_._axisConstraintGroups,E=_._axisMatchGroups,y=v._id,b=y.charAt(0),p=((_._splomAxes||{})[b]||{})[y]||{},u=v._id,m=u.charAt(0)===\"x\";v._matchGroup=null,v._constraintGroup=null;function h(G,$){return q.coerce(g,v,A,G,$)}h(\"constrain\",w?\"domain\":\"range\"),q.coerce(g,v,{constraintoward:{valType:\"enumerated\",values:m?[\"left\",\"center\",\"right\"]:[\"bottom\",\"middle\",\"top\"],dflt:m?\"center\":\"middle\"}},\"constraintoward\");var P=v.type,L,z,F=[];for(L=0;L<l.length;L++)if(z=l[L],z!==u){var B=_[x(z)];B.type===P&&F.push(z)}var O=i(S,u);if(O){var I=[];for(L=0;L<F.length;L++)z=F[L],O[z]||I.push(z);F=I}var N=F.length,U,W;N&&(g.matches||p.matches)&&(U=q.coerce(g,v,{matches:{valType:\"enumerated\",values:F,dflt:F.indexOf(p.matches)!==-1?p.matches:void 0}},\"matches\"));var Q=w&&!m?v.anchor:void 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Jt=Tr._invScaleX,Nt=Tr._invScaleY,Kt=za,Wt=ti,Pr=\"M\"+za+\",\"+ti,ta=Me.xaxes[0],ma=Me.yaxes[0],ra=ta._length,Ia=ma._length,Ha=Be.altKey&&!(n(qe)&&at),$a,ai,mi,xt,ct,Nr,Or;X(Be,Qt,Me),Te&&($a=B([[za,ti]],z.BENDPX));var Rr=Ua.selectAll(\"path.select-outline-\"+Ra.id).data([1]),Lr=yt?Tr.newshape:Tr.newselection;yt&&(Me.hasText=Lr.label.text||Lr.label.texttemplate);var Gr=yt&&!at?Lr.fillcolor:\"rgba(0,0,0,0)\",Kr=Lr.line.color||(Ce?e.contrast(Qt._fullLayout.plot_bgcolor):\"#7f7f7f\");Rr.enter().append(\"path\").attr(\"class\",\"select-outline select-outline-\"+Ra.id).style({opacity:yt?Lr.opacity/2:1,\"stroke-dasharray\":M(Lr.line.dash,Lr.line.width),\"stroke-width\":Lr.line.width+\"px\",\"shape-rendering\":\"crispEdges\"}).call(e.stroke,Kr).call(e.fill,Gr).attr(\"fill-rule\",\"evenodd\").classed(\"cursor-move\",!!yt).attr(\"transform\",ei).attr(\"d\",Pr+\"Z\");var Ur=Ua.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:e.background,stroke:e.defaultLine,\"stroke-width\":1}).attr(\"transform\",ei).attr(\"d\",\"M0,0Z\");if(yt&&Me.hasText){var aa=Ua.select(\".label-temp\");aa.empty()&&(aa=Ua.append(\"g\").classed(\"label-temp\",!0).classed(\"select-outline\",!0).style({opacity:.8}))}var da=Tr._uid+z.SELECTID,fa=[],It=re(Qt,Me.xaxes,Me.yaxes,Me.subplot);la&&!Be.shiftKey&&(Me._clearSubplotSelections=function(){if(Ce){var kr=ta._id,ia=ma._id;st(Qt,kr,ia,It);for(var Ca=(Qt.layout||{}).selections||[],Fa=[],Ya=!1,ha=0;ha<Ca.length;ha++){var Da=Tr.selections[ha];!Da||Da.xref!==kr||Da.yref!==ia?Fa.push(Ca[ha]):Ya=!0}Ya&&(Qt._fullLayout._noEmitSelectedAtStart=!0,A.call(\"_guiRelayout\",Qt,{selections:Fa}))}});var dr=jr(Me);Me.moveFn=function(kr,ia){Me._clearSubplotSelections&&(Me._clearSubplotSelections(),Me._clearSubplotSelections=void 0),Kt=Math.max(0,Math.min(ra,Jt*kr+za)),Wt=Math.max(0,Math.min(Ia,Nt*ia+ti));var Ca=Math.abs(Kt-za),Fa=Math.abs(Wt-ti);if(Pe){var Ya,ha,Da;if(Tt){var Xi=Tr.selectdirection;switch(Xi===\"any\"?Fa<Math.min(Ca*.6,F)?Ya=\"h\":Ca<Math.min(Fa*.6,F)?Ya=\"v\":Ya=\"d\":Ya=Xi,Ya){case\"h\":ha=Gt?Ia/2:0,Da=Ia;break;case\"v\":ha=Gt?ra/2:0,Da=ra;break}}if(yt)switch(Tr.newshape.drawdirection){case\"vertical\":Ya=\"h\",ha=Gt?Ia/2:0,Da=Ia;break;case\"horizontal\":Ya=\"v\",ha=Gt?ra/2:0,Da=ra;break;case\"ortho\":Ca<Fa?(Ya=\"h\",ha=ti,Da=Wt):(Ya=\"v\",ha=za,Da=Kt);break;default:Ya=\"d\"}Ya===\"h\"?(xt=rr?_(Gt,[Kt,ha],[Kt,Da]):[[za,ha],[za,Da],[Kt,Da],[Kt,ha]],xt.xmin=rr?Kt:Math.min(za,Kt),xt.xmax=rr?Kt:Math.max(za,Kt),xt.ymin=Math.min(ha,Da),xt.ymax=Math.max(ha,Da),Ur.attr(\"d\",\"M\"+xt.xmin+\",\"+(ti-F)+\"h-4v\"+2*F+\"h4ZM\"+(xt.xmax-1)+\",\"+(ti-F)+\"h4v\"+2*F+\"h-4Z\")):Ya===\"v\"?(xt=rr?_(Gt,[ha,Wt],[Da,Wt]):[[ha,ti],[ha,Wt],[Da,Wt],[Da,ti]],xt.xmin=Math.min(ha,Da),xt.xmax=Math.max(ha,Da),xt.ymin=rr?Wt:Math.min(ti,Wt),xt.ymax=rr?Wt:Math.max(ti,Wt),Ur.attr(\"d\",\"M\"+(za-F)+\",\"+xt.ymin+\"v-4h\"+2*F+\"v4ZM\"+(za-F)+\",\"+(xt.ymax-1)+\"v4h\"+2*F+\"v-4Z\")):Ya===\"d\"&&(xt=rr?_(Gt,[za,ti],[Kt,Wt]):[[za,ti],[za,Wt],[Kt,Wt],[Kt,ti]],xt.xmin=Math.min(za,Kt),xt.xmax=Math.max(za,Kt),xt.ymin=Math.min(ti,Wt),xt.ymax=Math.max(ti,Wt),Ur.attr(\"d\",\"M0,0Z\"))}else Te&&($a.addPt([Kt,Wt]),xt=$a.filtered);if(Me.selectionDefs&&Me.selectionDefs.length?(mi=tt(Me.mergedPolygons,xt,Ha),xt.subtract=Ha,ai=J(Me.selectionDefs.concat([xt]))):(mi=[xt],ai=O(xt)),v(Ee(mi,at),Rr,Me),Tt){var Li=fe(Qt,!1),fn=Li.eventData?Li.eventData.points.slice():[];Li=fe(Qt,!1,ai,It,Me),ai=Li.selectionTesters,Or=Li.eventData;var An;$a?An=$a.filtered:An=Zt(mi),m.throttle(da,z.SELECTDELAY,function(){fa=_e(ai,It);for(var kn=fa.slice(),zn=0;zn<fn.length;zn++){for(var Xn=fn[zn],to=!1,mo=0;mo<kn.length;mo++)if(kn[mo].curveNumber===Xn.curveNumber&&kn[mo].pointNumber===Xn.pointNumber){to=!0;break}to||kn.push(Xn)}kn.length&&(Or||(Or={}),Or.points=kn),dr(Or,An),wr(Qt,Or)})}},Me.clickFn=function(kr,ia){if(Ur.remove(),Qt._fullLayout._activeShapeIndex>=0){Qt._fullLayout._deactivateShape(Qt);return}if(!yt){var Ca=Tr.clickmode;m.done(da).then(function(){if(m.clear(da),kr===2){for(Rr.remove(),ct=0;ct<It.length;ct++)Nr=It[ct],Nr._module.selectPoints(Nr,!1);if(it(Qt,It),j(Me),bt(Qt),It.length){var Fa=It[0].xaxis,Ya=It[0].yaxis;if(Fa&&Ya){for(var ha=[],Da=Qt._fullLayout.selections,Xi=0;Xi<Da.length;Xi++){var Li=Da[Xi];Li&&(Li.xref!==Fa._id||Li.yref!==Ya._id)&&ha.push(Li)}ha.length<Da.length&&(Qt._fullLayout._noEmitSelectedAtStart=!0,A.call(\"_guiRelayout\",Qt,{selections:ha}))}}}else Ca.indexOf(\"select\")>-1&&le(ia,Qt,Me.xaxes,Me.yaxes,Me.subplot,Me,Rr),Ca===\"event\"&&Ir(Qt,void 0);t.click(Qt,ia,Ra.id)}).catch(b.error)}},Me.doneFn=function(){Ur.remove(),m.done(da).then(function(){m.clear(da),!la&&xt&&Me.selectionDefs&&(xt.subtract=Ha,Me.selectionDefs.push(xt),Me.mergedPolygons.length=0,[].push.apply(Me.mergedPolygons,mi)),(la||yt)&&j(Me,la),Me.doneFnCompleted&&Me.doneFnCompleted(fa),Tt&&Ir(Qt,Or)}).catch(b.error)}}function le(Be,Ke,Ue,Me,qe,Ce,Te){var Pe=Ke._hoverdata,at=Ke._fullLayout,yt=at.clickmode,Tt=yt.indexOf(\"event\")>-1,Ot=[],Gt,rr,Qt,Tr,la,Ua,Ba,Ra,ei,za;if(be(Pe)){X(Be,Ke,Ce),Gt=re(Ke,Ue,Me,qe);var ti=Ae(Pe,Gt),Ci=ti.pointNumbers.length>0;if(Ci?Re(Gt,ti):Xe(Gt)&&(Ba=ze(ti))){for(Te&&Te.remove(),za=0;za<Gt.length;za++)rr=Gt[za],rr._module.selectPoints(rr,!1);it(Ke,Gt),j(Ce),Tt&&bt(Ke)}else{Ra=Be.shiftKey&&(Ba!==void 0?Ba:ze(ti)),Qt=he(ti.pointNumber,ti.searchInfo,Ra);var Jt=Ce.selectionDefs.concat([Qt]);for(Tr=J(Jt,Tr),za=0;za<Gt.length;za++)if(la=Gt[za]._module.selectPoints(Gt[za],Tr),Ua=lt(la,Gt[za]),Ot.length)for(var Nt=0;Nt<Ua.length;Nt++)Ot.push(Ua[Nt]);else Ot=Ua;if(ei={points:Ot},it(Ke,Gt,ei),Qt&&Ce&&Ce.selectionDefs.push(Qt),Te){var Kt=Ce.mergedPolygons,Wt=s(Ce.dragmode);v(Ee(Kt,Wt),Te,Ce)}Tt&&Ir(Ke,ei)}}}function he(Be,Ke,Ue){return{pointNumber:Be,searchInfo:Ke,subtract:!!Ue}}function G(Be){return\"pointNumber\"in Be&&\"searchInfo\"in Be}function $(Be){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(Ke,Ue,Me,qe){var Ce=Be.searchInfo.cd[0].trace.index,Te=qe.cd[0].trace.index;return Te===Ce&&Me===Be.pointNumber},isRect:!1,degenerate:!1,subtract:!!Be.subtract}}function J(Be){if(!Be.length)return;for(var Ke=[],Ue=G(Be[0])?0:Be[0][0][0],Me=Ue,qe=G(Be[0])?0:Be[0][0][1],Ce=qe,Te=0;Te<Be.length;Te++)if(G(Be[Te]))Ke.push($(Be[Te]));else{var Pe=O(Be[Te]);Pe.subtract=!!Be[Te].subtract,Ke.push(Pe),Ue=Math.min(Ue,Pe.xmin),Me=Math.max(Me,Pe.xmax),qe=Math.min(qe,Pe.ymin),Ce=Math.max(Ce,Pe.ymax)}function at(yt,Tt,Ot,Gt){for(var rr=!1,Qt=0;Qt<Ke.length;Qt++)Ke[Qt].contains(yt,Tt,Ot,Gt)&&(rr=!Ke[Qt].subtract);return rr}return{xmin:Ue,xmax:Me,ymin:qe,ymax:Ce,pts:[],contains:at,isRect:!1,degenerate:!1}}function X(Be,Ke,Ue){var Me=Ke._fullLayout,qe=Ue.plotinfo,Ce=Ue.dragmode,Te=Me._lastSelectedSubplot&&Me._lastSelectedSubplot===qe.id,Pe=(Be.shiftKey||Be.altKey)&&!(n(Ce)&&s(Ce));Te&&Pe&&qe.selection&&qe.selection.selectionDefs&&!Ue.selectionDefs?(Ue.selectionDefs=qe.selection.selectionDefs,Ue.mergedPolygons=qe.selection.mergedPolygons):(!Pe||!qe.selection)&&j(Ue),Te||(T(Ke),Me._lastSelectedSubplot=qe.id)}function oe(Be){return Be._fullLayout._activeShapeIndex>=0}function ie(Be){return Be._fullLayout._activeSelectionIndex>=0}function j(Be,Ke){var Ue=Be.dragmode,Me=Be.plotinfo,qe=Be.gd;oe(qe)&&qe._fullLayout._deactivateShape(qe),ie(qe)&&qe._fullLayout._deactivateSelection(qe);var Ce=qe._fullLayout,Te=Ce._zoomlayer,Pe=n(Ue),at=c(Ue);if(Pe||at){var yt=Te.selectAll(\".select-outline-\"+Me.id);if(yt&&qe._fullLayout._outlining){var Tt;Pe&&(Tt=S(yt,Be)),Tt&&A.call(\"_guiRelayout\",qe,{shapes:Tt});var Ot;at&&!Q(Be)&&(Ot=E(yt,Be)),Ot&&(qe._fullLayout._noEmitSelectedAtStart=!0,A.call(\"_guiRelayout\",qe,{selections:Ot}).then(function(){Ke&&y(qe)})),qe._fullLayout._outlining=!1}}Me.selection={},Me.selection.selectionDefs=Be.selectionDefs=[],Me.selection.mergedPolygons=Be.mergedPolygons=[]}function ee(Be){return Be._id}function re(Be,Ke,Ue,Me){if(!Be.calcdata)return[];var qe=[],Ce=Ke.map(ee),Te=Ue.map(ee),Pe,at,yt;for(yt=0;yt<Be.calcdata.length;yt++)if(Pe=Be.calcdata[yt],at=Pe[0].trace,!(at.visible!==!0||!at._module||!at._module.selectPoints))if(Q({subplot:Me})&&(at.subplot===Me||at.geo===Me))qe.push(ce(at._module,Pe,Ke[0],Ue[0]));else if(at.type===\"splom\"){if(at._xaxes[Ce[0]]&&at._yaxes[Te[0]]){var Tt=ce(at._module,Pe,Ke[0],Ue[0]);Tt.scene=Be._fullLayout._splomScenes[at.uid],qe.push(Tt)}}else if(at.type===\"sankey\"){var Ot=ce(at._module,Pe,Ke[0],Ue[0]);qe.push(Ot)}else{if(Ce.indexOf(at.xaxis)===-1&&(!at._xA||!at._xA.overlaying)||Te.indexOf(at.yaxis)===-1&&(!at._yA||!at._yA.overlaying))continue;qe.push(ce(at._module,Pe,h(Be,at.xaxis),h(Be,at.yaxis)))}return qe}function ce(Be,Ke,Ue,Me){return{_module:Be,cd:Ke,xaxis:Ue,yaxis:Me}}function be(Be){return Be&&Array.isArray(Be)&&Be[0].hoverOnBox!==!0}function Ae(Be,Ke){var Ue=Be[0],Me=-1,qe=[],Ce,Te;for(Te=0;Te<Ke.length;Te++)if(Ce=Ke[Te],Ue.fullData.index===Ce.cd[0].trace.index){if(Ue.hoverOnBox===!0)break;Ue.pointNumber!==void 0?Me=Ue.pointNumber:Ue.binNumber!==void 0&&(Me=Ue.binNumber,qe=Ue.pointNumbers);break}return{pointNumber:Me,pointNumbers:qe,searchInfo:Ce}}function ze(Be){var Ke=Be.searchInfo.cd[0].trace,Ue=Be.pointNumber,Me=Be.pointNumbers,qe=Me.length>0,Ce=qe?Me[0]:Ue;return Ke.selectedpoints?Ke.selectedpoints.indexOf(Ce)>-1:!1}function Re(Be,Ke){var 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qe=q.select(Me),Ce=Me._fullLayout;if(Ce._calcInverseTransform=Ke,Ce._calcInverseTransform(Me),Ce._container=qe.selectAll(\".plot-container\").data([0]),Ce._container.enter().insert(\"div\",\":first-child\").classed(\"plot-container\",!0).classed(\"plotly\",!0).style({width:\"100%\",height:\"100%\"}),Ce._paperdiv=Ce._container.selectAll(\".svg-container\").data([0]),Ce._paperdiv.enter().append(\"div\").classed(\"user-select-none\",!0).classed(\"svg-container\",!0).style(\"position\",\"relative\"),Ce._glcontainer=Ce._paperdiv.selectAll(\".gl-container\").data([{}]),Ce._glcontainer.enter().append(\"div\").classed(\"gl-container\",!0),Ce._paperdiv.selectAll(\".main-svg\").remove(),Ce._paperdiv.select(\".modebar-container\").remove(),Ce._paper=Ce._paperdiv.insert(\"svg\",\":first-child\").classed(\"main-svg\",!0),Ce._toppaper=Ce._paperdiv.append(\"svg\").classed(\"main-svg\",!0),Ce._modebardiv=Ce._paperdiv.append(\"div\"),delete 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h=i.selectAll(\"path.box\").data(s.type!==\"violin\"||s.box.visible?x.identity:[]);h.enter().append(\"path\").style(\"vector-effect\",f?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),h.exit().remove(),h.each(function(P){if(P.empty)return d.select(this).attr(\"d\",\"M0,0Z\");var L=T.c2l(P.pos+_,!0),z=T.l2p(L-u)+S,F=T.l2p(L+m)+S,B=l?(z+F)/2:T.l2p(L)+S,O=s.whiskerwidth,I=l?z*O+(1-O)*B:T.l2p(L-w)+S,N=l?F*O+(1-O)*B:T.l2p(L+w)+S,U=T.l2p(L-u*p)+S,W=T.l2p(L+m*p)+S,Q=s.sizemode===\"sd\",ue=v.c2p(Q?P.mean-P.sd:P.q1,!0),le=Q?v.c2p(P.mean+P.sd,!0):v.c2p(P.q3,!0),he=x.constrain(Q?v.c2p(P.mean,!0):v.c2p(P.med,!0),Math.min(ue,le)+1,Math.max(ue,le)-1),G=P.lf===void 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b=g.c2l(y.pos+T,!0),p=g.l2p(b-w)+l,u=g.l2p(b+S)+l,m=v?(p+u)/2:g.l2p(b)+l,h=f.c2p(y.mean,!0),P=f.c2p(y.mean-y.sd,!0),L=f.c2p(y.mean+y.sd,!0);s.orientation===\"h\"?d.select(this).attr(\"d\",\"M\"+h+\",\"+p+\"V\"+u+(_===\"sd\"?\"m0,0L\"+P+\",\"+m+\"L\"+h+\",\"+p+\"L\"+L+\",\"+m+\"Z\":\"\")):d.select(this).attr(\"d\",\"M\"+p+\",\"+h+\"H\"+u+(_===\"sd\"?\"m0,0L\"+m+\",\"+P+\"L\"+p+\",\"+h+\"L\"+m+\",\"+L+\"Z\":\"\"))})}q.exports={plot:t,plotBoxAndWhiskers:r,plotPoints:o,plotBoxMean:a}}}),W2=Ze({\"src/traces/box/style.js\"(Z,q){\"use strict\";var d=On(),x=Yn(),A=as();function M(t,r,o){var a=o||d.select(t).selectAll(\"g.trace.boxes\");a.style(\"opacity\",function(i){return i[0].trace.opacity}),a.each(function(i){var n=d.select(this),s=i[0].trace,c=s.line.width;function f(T,l,_,w){T.style(\"stroke-width\",l+\"px\").call(x.stroke,_).call(x.fill,w)}var g=n.selectAll(\"path.box\");if(s.type===\"candlestick\")g.each(function(T){if(!T.empty){var 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e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var t=this.ifds_to_read.shift();t.offset&&this.scan_ifd(t.id,t.offset,M)}},A.prototype.read_uint16=function(M){var e=this.input;if(M+2>e.length)throw d(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?e[M]*256+e[M+1]:e[M]+e[M+1]*256},A.prototype.read_uint32=function(M){var e=this.input;if(M+4>e.length)throw d(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?e[M]*16777216+e[M+1]*65536+e[M+2]*256+e[M+3]:e[M]+e[M+1]*256+e[M+2]*65536+e[M+3]*16777216},A.prototype.is_subifd_link=function(M,e){return M===0&&e===34665||M===0&&e===34853||M===34665&&e===40965},A.prototype.exif_format_length=function(M){switch(M){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},A.prototype.exif_format_read=function(M,e){var t;switch(M){case 1:case 2:return t=this.input[e],t;case 6:return t=this.input[e],t|(t&128)*33554430;case 3:return t=this.read_uint16(e),t;case 8:return t=this.read_uint16(e),t|(t&32768)*131070;case 4:return t=this.read_uint32(e),t;case 9:return t=this.read_uint32(e),t|0;case 5:case 10:case 11:case 12:return null;case 7:return null;default:return null}},A.prototype.scan_ifd=function(M,e,t){var r=this.read_uint16(e);e+=2;for(var o=0;o<r;o++){var a=this.read_uint16(e),i=this.read_uint16(e+2),n=this.read_uint32(e+4),s=this.exif_format_length(i),c=n*s,f=c<=4?e+8:this.read_uint32(e+8),g=!1;if(f+c>this.input.length)throw d(\"unexpected EOF\",\"EBADDATA\");for(var v=[],T=f,l=0;l<n;l++,T+=s){var _=this.exif_format_read(i,T);if(_===null){v=null;break}v.push(_)}Array.isArray(v)&&i===2&&(v=x(String.fromCharCode.apply(null,v)),v&&v[v.length-1]===\"\\0\"&&(v=v.slice(0,-1))),this.is_subifd_link(M,a)&&Array.isArray(v)&&Number.isInteger(v[0])&&v[0]>0&&(this.ifds_to_read.push({id:a,offset:v[0]}),g=!0);var w={is_big_endian:this.big_endian,ifd:M,tag:a,format:i,count:n,entry_offset:e+this.start,data_length:c,data_offset:f+this.start,value:v,is_subifd_link:g};if(t(w)===!1){this.aborted=!0;return}e+=12}M===0&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},q.exports.ExifParser=A,q.exports.get_orientation=function(M){var e=0;try{return new A(M,0,M.length).each(function(t){if(t.ifd===0&&t.tag===274&&Array.isArray(t.value))return e=t.value[0],!1}),e}catch{return-1}}}}),sB=Ze({\"node_modules/probe-image-size/lib/parse_sync/avif.js\"(Z,q){\"use strict\";var d=ac().str2arr,x=ac().sliceEq,A=ac().readUInt32BE,M=oB(),e=y3(),t=d(\"ftyp\");q.exports=function(r){if(x(r,4,t)){var o=M.unbox(r,0);if(o){var a=M.getMimeType(o.data);if(a){for(var i,n=o.end;;){var s=M.unbox(r,n);if(!s)break;if(n=s.end,s.boxtype===\"mdat\")return;if(s.boxtype===\"meta\"){i=s.data;break}}if(i){var c=M.readSizeFromMeta(i);if(c){var f={width:c.width,height:c.height,type:a.type,mime:a.mime,wUnits:\"px\",hUnits:\"px\"};if(c.variants.length>1&&(f.variants=c.variants),c.orientation&&(f.orientation=c.orientation),c.exif_location&&c.exif_location.offset+c.exif_location.length<=r.length){var g=A(r,c.exif_location.offset),v=r.slice(c.exif_location.offset+g+4,c.exif_location.offset+c.exif_location.length),T=e.get_orientation(v);T>0&&(f.orientation=T)}return f}}}}}}}}),lB=Ze({\"node_modules/probe-image-size/lib/parse_sync/bmp.js\"(Z,q){\"use strict\";var d=ac().str2arr,x=ac().sliceEq,A=ac().readUInt16LE,M=d(\"BM\");q.exports=function(e){if(!(e.length<26)&&x(e,0,M))return{width:A(e,18),height:A(e,22),type:\"bmp\",mime:\"image/bmp\",wUnits:\"px\",hUnits:\"px\"}}}}),uB=Ze({\"node_modules/probe-image-size/lib/parse_sync/gif.js\"(Z,q){\"use strict\";var d=ac().str2arr,x=ac().sliceEq,A=ac().readUInt16LE,M=d(\"GIF87a\"),e=d(\"GIF89a\");q.exports=function(t){if(!(t.length<10)&&!(!x(t,0,M)&&!x(t,0,e)))return{width:A(t,6),height:A(t,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}}}),cB=Ze({\"node_modules/probe-image-size/lib/parse_sync/ico.js\"(Z,q){\"use strict\";var d=ac().readUInt16LE,x=0,A=1,M=16;q.exports=function(e){var t=d(e,0),r=d(e,2),o=d(e,4);if(!(t!==x||r!==A||!o)){for(var a=[],i={width:0,height:0},n=0;n<o;n++){var s=e[6+M*n]||256,c=e[6+M*n+1]||256,f={width:s,height:c};a.push(f),(s>i.width||c>i.height)&&(i=f)}return{width:i.width,height:i.height,variants:a,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}}}),fB=Ze({\"node_modules/probe-image-size/lib/parse_sync/jpeg.js\"(Z,q){\"use strict\";var d=ac().readUInt16BE,x=ac().str2arr,A=ac().sliceEq,M=y3(),e=x(\"Exif\\0\\0\");q.exports=function(t){if(!(t.length<2)&&!(t[0]!==255||t[1]!==216||t[2]!==255))for(var 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function(n,s){return!n||(n=x(n),!n.isValid())?!1:(n=A.addOpacity(n,n.getAlpha()),a[s]||(a[s]=n),n)}}function r(a,i){var n=(i||{}).type;n||(n=\"pie\");var s=a._fullLayout,c=a.calcdata,f=s[n+\"colorway\"],g=s[\"_\"+n+\"colormap\"];s[\"extend\"+n+\"colors\"]&&(f=o(f,M));for(var v=0,T=0;T<c.length;T++){var l=c[T],_=l[0].trace.type;if(_===n)for(var w=0;w<l.length;w++){var S=l[w];S.color===!1&&(g[S.label]?S.color=g[S.label]:(g[S.label]=S.color=f[v%f.length],v++))}}}function o(a,i){var n,s=JSON.stringify(a),c=i[s];if(!c){for(c=a.slice(),n=0;n<a.length;n++)c.push(x(a[n]).lighten(20).toHexString());for(n=0;n<a.length;n++)c.push(x(a[n]).darken(20).toHexString());i[s]=c}return c}q.exports={calc:e,crossTraceCalc:r,makePullColorFn:t,generateExtendedColors:o}}}),CB=Ze({\"src/traces/pie/event_data.js\"(Z,q){\"use strict\";var d=Qp().appendArrayMultiPointValues;q.exports=function(A,M){var 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0||at>Tt)&&(at=Tt),Te.length>0&&(at<0||Pe<0)||Pe>this.length)throw new RangeError(\"Attempt to write outside buffer bounds\");yt||(yt=\"utf8\");for(var Ot=!1;;)switch(yt){case\"hex\":return J(this,Te,Pe,at);case\"utf8\":case\"utf-8\":return X(this,Te,Pe,at);case\"ascii\":case\"latin1\":case\"binary\":return oe(this,Te,Pe,at);case\"base64\":return ie(this,Te,Pe,at);case\"ucs2\":case\"ucs-2\":case\"utf16le\":case\"utf-16le\":return j(this,Te,Pe,at);default:if(Ot)throw new TypeError(\"Unknown encoding: \"+yt);yt=(\"\"+yt).toLowerCase(),Ot=!0}},h.prototype.toJSON=function(){return{type:\"Buffer\",data:Array.prototype.slice.call(this._arr||this,0)}};function ee(Ce,Te,Pe){return Te===0&&Pe===Ce.length?E.fromByteArray(Ce):E.fromByteArray(Ce.slice(Te,Pe))}function re(Ce,Te,Pe){Pe=Math.min(Ce.length,Pe);for(var at=[],yt=Te;yt<Pe;){var Tt=Ce[yt],Ot=null,Gt=Tt>239?4:Tt>223?3:Tt>191?2:1;if(yt+Gt<=Pe){var rr=void 0,Qt=void 0,Tr=void 0,la=void 0;switch(Gt){case 1:Tt<128&&(Ot=Tt);break;case 2:rr=Ce[yt+1],(rr&192)===128&&(la=(Tt&31)<<6|rr&63,la>127&&(Ot=la));break;case 3:rr=Ce[yt+1],Qt=Ce[yt+2],(rr&192)===128&&(Qt&192)===128&&(la=(Tt&15)<<12|(rr&63)<<6|Qt&63,la>2047&&(la<55296||la>57343)&&(Ot=la));break;case 4:rr=Ce[yt+1],Qt=Ce[yt+2],Tr=Ce[yt+3],(rr&192)===128&&(Qt&192)===128&&(Tr&192)===128&&(la=(Tt&15)<<18|(rr&63)<<12|(Qt&63)<<6|Tr&63,la>65535&&la<1114112&&(Ot=la))}}Ot===null?(Ot=65533,Gt=1):Ot>65535&&(Ot-=65536,at.push(Ot>>>10&1023|55296),Ot=56320|Ot&1023),at.push(Ot),yt+=Gt}return be(at)}var ce=4096;function be(Ce){var Te=Ce.length;if(Te<=ce)return String.fromCharCode.apply(String,Ce);for(var Pe=\"\",at=0;at<Te;)Pe+=String.fromCharCode.apply(String,Ce.slice(at,at+=ce));return Pe}function Ae(Ce,Te,Pe){var at=\"\";Pe=Math.min(Ce.length,Pe);for(var yt=Te;yt<Pe;++yt)at+=String.fromCharCode(Ce[yt]&127);return at}function ze(Ce,Te,Pe){var at=\"\";Pe=Math.min(Ce.length,Pe);for(var yt=Te;yt<Pe;++yt)at+=String.fromCharCode(Ce[yt]);return at}function Re(Ce,Te,Pe){var at=Ce.length;(!Te||Te<0)&&(Te=0),(!Pe||Pe<0||Pe>at)&&(Pe=at);for(var yt=\"\",Tt=Te;Tt<Pe;++Tt)yt+=Ue[Ce[Tt]];return yt}function Xe(Ce,Te,Pe){for(var at=Ce.slice(Te,Pe),yt=\"\",Tt=0;Tt<at.length-1;Tt+=2)yt+=String.fromCharCode(at[Tt]+at[Tt+1]*256);return yt}h.prototype.slice=function(Te,Pe){var at=this.length;Te=~~Te,Pe=Pe===void 0?at:~~Pe,Te<0?(Te+=at,Te<0&&(Te=0)):Te>at&&(Te=at),Pe<0?(Pe+=at,Pe<0&&(Pe=0)):Pe>at&&(Pe=at),Pe<Te&&(Pe=Te);var yt=this.subarray(Te,Pe);return Object.setPrototypeOf(yt,h.prototype),yt};function it(Ce,Te,Pe){if(Ce%1!==0||Ce<0)throw new RangeError(\"offset is not uint\");if(Ce+Te>Pe)throw new RangeError(\"Trying to access beyond buffer length\")}h.prototype.readUintLE=h.prototype.readUIntLE=function(Te,Pe,at){Te=Te>>>0,Pe=Pe>>>0,at||it(Te,Pe,this.length);for(var yt=this[Te],Tt=1,Ot=0;++Ot<Pe&&(Tt*=256);)yt+=this[Te+Ot]*Tt;return yt},h.prototype.readUintBE=h.prototype.readUIntBE=function(Te,Pe,at){Te=Te>>>0,Pe=Pe>>>0,at||it(Te,Pe,this.length);for(var yt=this[Te+--Pe],Tt=1;Pe>0&&(Tt*=256);)yt+=this[Te+--Pe]*Tt;return yt},h.prototype.readUint8=h.prototype.readUInt8=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,1,this.length),this[Te]},h.prototype.readUint16LE=h.prototype.readUInt16LE=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,2,this.length),this[Te]|this[Te+1]<<8},h.prototype.readUint16BE=h.prototype.readUInt16BE=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,2,this.length),this[Te]<<8|this[Te+1]},h.prototype.readUint32LE=h.prototype.readUInt32LE=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,4,this.length),(this[Te]|this[Te+1]<<8|this[Te+2]<<16)+this[Te+3]*16777216},h.prototype.readUint32BE=h.prototype.readUInt32BE=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,4,this.length),this[Te]*16777216+(this[Te+1]<<16|this[Te+2]<<8|this[Te+3])},h.prototype.readBigUInt64LE=Me(function(Te){Te=Te>>>0,kt(Te,\"offset\");var Pe=this[Te],at=this[Te+7];(Pe===void 0||at===void 0)&&Vt(Te,this.length-8);var yt=Pe+this[++Te]*Math.pow(2,8)+this[++Te]*Math.pow(2,16)+this[++Te]*Math.pow(2,24),Tt=this[++Te]+this[++Te]*Math.pow(2,8)+this[++Te]*Math.pow(2,16)+at*Math.pow(2,24);return BigInt(yt)+(BigInt(Tt)<<BigInt(32))}),h.prototype.readBigUInt64BE=Me(function(Te){Te=Te>>>0,kt(Te,\"offset\");var Pe=this[Te],at=this[Te+7];(Pe===void 0||at===void 0)&&Vt(Te,this.length-8);var yt=Pe*Math.pow(2,24)+this[++Te]*Math.pow(2,16)+this[++Te]*Math.pow(2,8)+this[++Te],Tt=this[++Te]*Math.pow(2,24)+this[++Te]*Math.pow(2,16)+this[++Te]*Math.pow(2,8)+at;return(BigInt(yt)<<BigInt(32))+BigInt(Tt)}),h.prototype.readIntLE=function(Te,Pe,at){Te=Te>>>0,Pe=Pe>>>0,at||it(Te,Pe,this.length);for(var yt=this[Te],Tt=1,Ot=0;++Ot<Pe&&(Tt*=256);)yt+=this[Te+Ot]*Tt;return Tt*=128,yt>=Tt&&(yt-=Math.pow(2,8*Pe)),yt},h.prototype.readIntBE=function(Te,Pe,at){Te=Te>>>0,Pe=Pe>>>0,at||it(Te,Pe,this.length);for(var yt=Pe,Tt=1,Ot=this[Te+--yt];yt>0&&(Tt*=256);)Ot+=this[Te+--yt]*Tt;return Tt*=128,Ot>=Tt&&(Ot-=Math.pow(2,8*Pe)),Ot},h.prototype.readInt8=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,1,this.length),this[Te]&128?(255-this[Te]+1)*-1:this[Te]},h.prototype.readInt16LE=function(Te,Pe){Te=Te>>>0,Pe||it(Te,2,this.length);var at=this[Te]|this[Te+1]<<8;return at&32768?at|4294901760:at},h.prototype.readInt16BE=function(Te,Pe){Te=Te>>>0,Pe||it(Te,2,this.length);var at=this[Te+1]|this[Te]<<8;return at&32768?at|4294901760:at},h.prototype.readInt32LE=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,4,this.length),this[Te]|this[Te+1]<<8|this[Te+2]<<16|this[Te+3]<<24},h.prototype.readInt32BE=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,4,this.length),this[Te]<<24|this[Te+1]<<16|this[Te+2]<<8|this[Te+3]},h.prototype.readBigInt64LE=Me(function(Te){Te=Te>>>0,kt(Te,\"offset\");var Pe=this[Te],at=this[Te+7];(Pe===void 0||at===void 0)&&Vt(Te,this.length-8);var yt=this[Te+4]+this[Te+5]*Math.pow(2,8)+this[Te+6]*Math.pow(2,16)+(at<<24);return(BigInt(yt)<<BigInt(32))+BigInt(Pe+this[++Te]*Math.pow(2,8)+this[++Te]*Math.pow(2,16)+this[++Te]*Math.pow(2,24))}),h.prototype.readBigInt64BE=Me(function(Te){Te=Te>>>0,kt(Te,\"offset\");var Pe=this[Te],at=this[Te+7];(Pe===void 0||at===void 0)&&Vt(Te,this.length-8);var yt=(Pe<<24)+this[++Te]*Math.pow(2,16)+this[++Te]*Math.pow(2,8)+this[++Te];return(BigInt(yt)<<BigInt(32))+BigInt(this[++Te]*Math.pow(2,24)+this[++Te]*Math.pow(2,16)+this[++Te]*Math.pow(2,8)+at)}),h.prototype.readFloatLE=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,4,this.length),y.read(this,Te,!0,23,4)},h.prototype.readFloatBE=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,4,this.length),y.read(this,Te,!1,23,4)},h.prototype.readDoubleLE=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,8,this.length),y.read(this,Te,!0,52,8)},h.prototype.readDoubleBE=function(Te,Pe){return Te=Te>>>0,Pe||it(Te,8,this.length),y.read(this,Te,!1,52,8)};function ot(Ce,Te,Pe,at,yt,Tt){if(!h.isBuffer(Ce))throw new TypeError('\"buffer\" argument must be a Buffer instance');if(Te>yt||Te<Tt)throw new RangeError('\"value\" argument is out of bounds');if(Pe+at>Ce.length)throw new RangeError(\"Index out of range\")}h.prototype.writeUintLE=h.prototype.writeUIntLE=function(Te,Pe,at,yt){if(Te=+Te,Pe=Pe>>>0,at=at>>>0,!yt){var Tt=Math.pow(2,8*at)-1;ot(this,Te,Pe,at,Tt,0)}var Ot=1,Gt=0;for(this[Pe]=Te&255;++Gt<at&&(Ot*=256);)this[Pe+Gt]=Te/Ot&255;return Pe+at},h.prototype.writeUintBE=h.prototype.writeUIntBE=function(Te,Pe,at,yt){if(Te=+Te,Pe=Pe>>>0,at=at>>>0,!yt){var Tt=Math.pow(2,8*at)-1;ot(this,Te,Pe,at,Tt,0)}var Ot=at-1,Gt=1;for(this[Pe+Ot]=Te&255;--Ot>=0&&(Gt*=256);)this[Pe+Ot]=Te/Gt&255;return Pe+at},h.prototype.writeUint8=h.prototype.writeUInt8=function(Te,Pe,at){return Te=+Te,Pe=Pe>>>0,at||ot(this,Te,Pe,1,255,0),this[Pe]=Te&255,Pe+1},h.prototype.writeUint16LE=h.prototype.writeUInt16LE=function(Te,Pe,at){return Te=+Te,Pe=Pe>>>0,at||ot(this,Te,Pe,2,65535,0),this[Pe]=Te&255,this[Pe+1]=Te>>>8,Pe+2},h.prototype.writeUint16BE=h.prototype.writeUInt16BE=function(Te,Pe,at){return Te=+Te,Pe=Pe>>>0,at||ot(this,Te,Pe,2,65535,0),this[Pe]=Te>>>8,this[Pe+1]=Te&255,Pe+2},h.prototype.writeUint32LE=h.prototype.writeUInt32LE=function(Te,Pe,at){return Te=+Te,Pe=Pe>>>0,at||ot(this,Te,Pe,4,4294967295,0),this[Pe+3]=Te>>>24,this[Pe+2]=Te>>>16,this[Pe+1]=Te>>>8,this[Pe]=Te&255,Pe+4},h.prototype.writeUint32BE=h.prototype.writeUInt32BE=function(Te,Pe,at){return Te=+Te,Pe=Pe>>>0,at||ot(this,Te,Pe,4,4294967295,0),this[Pe]=Te>>>24,this[Pe+1]=Te>>>16,this[Pe+2]=Te>>>8,this[Pe+3]=Te&255,Pe+4};function tt(Ce,Te,Pe,at,yt){Lt(Te,at,yt,Ce,Pe,7);var Tt=Number(Te&BigInt(4294967295));Ce[Pe++]=Tt,Tt=Tt>>8,Ce[Pe++]=Tt,Tt=Tt>>8,Ce[Pe++]=Tt,Tt=Tt>>8,Ce[Pe++]=Tt;var Ot=Number(Te>>BigInt(32)&BigInt(4294967295));return Ce[Pe++]=Ot,Ot=Ot>>8,Ce[Pe++]=Ot,Ot=Ot>>8,Ce[Pe++]=Ot,Ot=Ot>>8,Ce[Pe++]=Ot,Pe}function lt(Ce,Te,Pe,at,yt){Lt(Te,at,yt,Ce,Pe,7);var Tt=Number(Te&BigInt(4294967295));Ce[Pe+7]=Tt,Tt=Tt>>8,Ce[Pe+6]=Tt,Tt=Tt>>8,Ce[Pe+5]=Tt,Tt=Tt>>8,Ce[Pe+4]=Tt;var Ot=Number(Te>>BigInt(32)&BigInt(4294967295));return Ce[Pe+3]=Ot,Ot=Ot>>8,Ce[Pe+2]=Ot,Ot=Ot>>8,Ce[Pe+1]=Ot,Ot=Ot>>8,Ce[Pe]=Ot,Pe+8}h.prototype.writeBigUInt64LE=Me(function(Te){var Pe=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return tt(this,Te,Pe,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),h.prototype.writeBigUInt64BE=Me(function(Te){var Pe=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return lt(this,Te,Pe,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),h.prototype.writeIntLE=function(Te,Pe,at,yt){if(Te=+Te,Pe=Pe>>>0,!yt){var Tt=Math.pow(2,8*at-1);ot(this,Te,Pe,at,Tt-1,-Tt)}var Ot=0,Gt=1,rr=0;for(this[Pe]=Te&255;++Ot<at&&(Gt*=256);)Te<0&&rr===0&&this[Pe+Ot-1]!==0&&(rr=1),this[Pe+Ot]=(Te/Gt>>0)-rr&255;return Pe+at},h.prototype.writeIntBE=function(Te,Pe,at,yt){if(Te=+Te,Pe=Pe>>>0,!yt){var Tt=Math.pow(2,8*at-1);ot(this,Te,Pe,at,Tt-1,-Tt)}var Ot=at-1,Gt=1,rr=0;for(this[Pe+Ot]=Te&255;--Ot>=0&&(Gt*=256);)Te<0&&rr===0&&this[Pe+Ot+1]!==0&&(rr=1),this[Pe+Ot]=(Te/Gt>>0)-rr&255;return Pe+at},h.prototype.writeInt8=function(Te,Pe,at){return Te=+Te,Pe=Pe>>>0,at||ot(this,Te,Pe,1,127,-128),Te<0&&(Te=255+Te+1),this[Pe]=Te&255,Pe+1},h.prototype.writeInt16LE=function(Te,Pe,at){return Te=+Te,Pe=Pe>>>0,at||ot(this,Te,Pe,2,32767,-32768),this[Pe]=Te&255,this[Pe+1]=Te>>>8,Pe+2},h.prototype.writeInt16BE=function(Te,Pe,at){return Te=+Te,Pe=Pe>>>0,at||ot(this,Te,Pe,2,32767,-32768),this[Pe]=Te>>>8,this[Pe+1]=Te&255,Pe+2},h.prototype.writeInt32LE=function(Te,Pe,at){return Te=+Te,Pe=Pe>>>0,at||ot(this,Te,Pe,4,2147483647,-2147483648),this[Pe]=Te&255,this[Pe+1]=Te>>>8,this[Pe+2]=Te>>>16,this[Pe+3]=Te>>>24,Pe+4},h.prototype.writeInt32BE=function(Te,Pe,at){return Te=+Te,Pe=Pe>>>0,at||ot(this,Te,Pe,4,2147483647,-2147483648),Te<0&&(Te=4294967295+Te+1),this[Pe]=Te>>>24,this[Pe+1]=Te>>>16,this[Pe+2]=Te>>>8,this[Pe+3]=Te&255,Pe+4},h.prototype.writeBigInt64LE=Me(function(Te){var Pe=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return tt(this,Te,Pe,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))}),h.prototype.writeBigInt64BE=Me(function(Te){var Pe=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return lt(this,Te,Pe,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))});function Ee(Ce,Te,Pe,at,yt,Tt){if(Pe+at>Ce.length)throw new RangeError(\"Index out of range\");if(Pe<0)throw new RangeError(\"Index out of range\")}function _e(Ce,Te,Pe,at,yt){return Te=+Te,Pe=Pe>>>0,yt||Ee(Ce,Te,Pe,4,34028234663852886e22,-34028234663852886e22),y.write(Ce,Te,Pe,at,23,4),Pe+4}h.prototype.writeFloatLE=function(Te,Pe,at){return _e(this,Te,Pe,!0,at)},h.prototype.writeFloatBE=function(Te,Pe,at){return _e(this,Te,Pe,!1,at)};function fe(Ce,Te,Pe,at,yt){return Te=+Te,Pe=Pe>>>0,yt||Ee(Ce,Te,Pe,8,17976931348623157e292,-17976931348623157e292),y.write(Ce,Te,Pe,at,52,8),Pe+8}h.prototype.writeDoubleLE=function(Te,Pe,at){return fe(this,Te,Pe,!0,at)},h.prototype.writeDoubleBE=function(Te,Pe,at){return fe(this,Te,Pe,!1,at)},h.prototype.copy=function(Te,Pe,at,yt){if(!h.isBuffer(Te))throw new TypeError(\"argument should be a Buffer\");if(at||(at=0),!yt&&yt!==0&&(yt=this.length),Pe>=Te.length&&(Pe=Te.length),Pe||(Pe=0),yt>0&&yt<at&&(yt=at),yt===at||Te.length===0||this.length===0)return 0;if(Pe<0)throw new RangeError(\"targetStart out of bounds\");if(at<0||at>=this.length)throw new RangeError(\"Index out of range\");if(yt<0)throw new RangeError(\"sourceEnd out of bounds\");yt>this.length&&(yt=this.length),Te.length-Pe<yt-at&&(yt=Te.length-Pe+at);var Tt=yt-at;return this===Te&&typeof Uint8Array.prototype.copyWithin==\"function\"?this.copyWithin(Pe,at,yt):Uint8Array.prototype.set.call(Te,this.subarray(at,yt),Pe),Tt},h.prototype.fill=function(Te,Pe,at,yt){if(typeof Te==\"string\"){if(typeof Pe==\"string\"?(yt=Pe,Pe=0,at=this.length):typeof at==\"string\"&&(yt=at,at=this.length),yt!==void 0&&typeof yt!=\"string\")throw new TypeError(\"encoding must be a string\");if(typeof yt==\"string\"&&!h.isEncoding(yt))throw new TypeError(\"Unknown encoding: \"+yt);if(Te.length===1){var Tt=Te.charCodeAt(0);(yt===\"utf8\"&&Tt<128||yt===\"latin1\")&&(Te=Tt)}}else typeof Te==\"number\"?Te=Te&255:typeof Te==\"boolean\"&&(Te=Number(Te));if(Pe<0||this.length<Pe||this.length<at)throw new RangeError(\"Out of range index\");if(at<=Pe)return this;Pe=Pe>>>0,at=at===void 0?this.length:at>>>0,Te||(Te=0);var Ot;if(typeof Te==\"number\")for(Ot=Pe;Ot<at;++Ot)this[Ot]=Te;else{var Gt=h.isBuffer(Te)?Te:h.from(Te,yt),rr=Gt.length;if(rr===0)throw new TypeError('The value \"'+Te+'\" is invalid for argument \"value\"');for(Ot=0;Ot<at-Pe;++Ot)this[Ot+Pe]=Gt[Ot%rr]}return this};var Fe={};function rt(Ce,Te,Pe){Fe[Ce]=function(at){function yt(){var Tt;return a(this,yt),Tt=f(this,yt),Object.defineProperty(Tt,\"message\",{value:Te.apply(Tt,arguments),writable:!0,configurable:!0}),Tt.name=\"\".concat(Tt.name,\" [\").concat(Ce,\"]\"),Tt.stack,delete Tt.name,Tt}return _(yt,at),n(yt,[{key:\"code\",get:function(){return Ce},set:function(Ot){Object.defineProperty(this,\"code\",{configurable:!0,enumerable:!0,value:Ot,writable:!0})}},{key:\"toString\",value:function(){return\"\".concat(this.name,\" [\").concat(Ce,\"]: \").concat(this.message)}}])}(Pe)}rt(\"ERR_BUFFER_OUT_OF_BOUNDS\",function(Ce){return Ce?\"\".concat(Ce,\" is outside of buffer bounds\"):\"Attempt to access memory outside buffer bounds\"},RangeError),rt(\"ERR_INVALID_ARG_TYPE\",function(Ce,Te){return'The \"'.concat(Ce,'\" argument must be of type number. 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i(O,I){if(!O)throw new Error(I||\"Assertion failed\")}function n(O,I){O.super_=I;var N=function(){};N.prototype=I.prototype,O.prototype=new N,O.prototype.constructor=O}function s(O,I,N){if(s.isBN(O))return O;this.negative=0,this.words=null,this.length=0,this.red=null,O!==null&&((I===\"le\"||I===\"be\")&&(N=I,I=10),this._init(O||0,I||10,N||\"be\"))}typeof o==\"object\"?o.exports=s:a.BN=s,s.BN=s,s.wordSize=26;var c;try{typeof window<\"u\"&&typeof window.Buffer<\"u\"?c=window.Buffer:c=r(7790).Buffer}catch{}s.isBN=function(I){return I instanceof s?!0:I!==null&&typeof I==\"object\"&&I.constructor.wordSize===s.wordSize&&Array.isArray(I.words)},s.max=function(I,N){return I.cmp(N)>0?I:N},s.min=function(I,N){return I.cmp(N)<0?I:N},s.prototype._init=function(I,N,U){if(typeof I==\"number\")return this._initNumber(I,N,U);if(typeof I==\"object\")return this._initArray(I,N,U);N===\"hex\"&&(N=16),i(N===(N|0)&&N>=2&&N<=36),I=I.toString().replace(/\\s+/g,\"\");var 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T=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],l=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],_=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];s.prototype.toString=function(I,N){I=I||10,N=N|0||1;var U;if(I===16||I===\"hex\"){U=\"\";for(var W=0,Q=0,ue=0;ue<this.length;ue++){var le=this.words[ue],he=((le<<W|Q)&16777215).toString(16);Q=le>>>24-W&16777215,Q!==0||ue!==this.length-1?U=T[6-he.length]+he+U:U=he+U,W+=2,W>=26&&(W-=26,ue--)}for(Q!==0&&(U=Q.toString(16)+U);U.length%N!==0;)U=\"0\"+U;return this.negative!==0&&(U=\"-\"+U),U}if(I===(I|0)&&I>=2&&I<=36){var G=l[I],$=_[I];U=\"\";var J=this.clone();for(J.negative=0;!J.isZero();){var X=J.modn($).toString(I);J=J.idivn($),J.isZero()?U=X+U:U=T[G-X.length]+X+U}for(this.isZero()&&(U=\"0\"+U);U.length%N!==0;)U=\"0\"+U;return this.negative!==0&&(U=\"-\"+U),U}i(!1,\"Base should be between 2 and 36\")},s.prototype.toNumber=function(){var I=this.words[0];return this.length===2?I+=this.words[1]*67108864:this.length===3&&this.words[2]===1?I+=4503599627370496+this.words[1]*67108864:this.length>2&&i(!1,\"Number can only safely store up to 53 bits\"),this.negative!==0?-I:I},s.prototype.toJSON=function(){return this.toString(16)},s.prototype.toBuffer=function(I,N){return i(typeof 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I=this.words[this.length-1],N=this._countBits(I);return(this.length-1)*26+N};function w(O){for(var I=new Array(O.bitLength()),N=0;N<I.length;N++){var U=N/26|0,W=N%26;I[N]=(O.words[U]&1<<W)>>>W}return I}s.prototype.zeroBits=function(){if(this.isZero())return 0;for(var I=0,N=0;N<this.length;N++){var U=this._zeroBits(this.words[N]);if(I+=U,U!==26)break}return I},s.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},s.prototype.toTwos=function(I){return this.negative!==0?this.abs().inotn(I).iaddn(1):this.clone()},s.prototype.fromTwos=function(I){return this.testn(I-1)?this.notn(I).iaddn(1).ineg():this.clone()},s.prototype.isNeg=function(){return this.negative!==0},s.prototype.neg=function(){return this.clone().ineg()},s.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},s.prototype.iuor=function(I){for(;this.length<I.length;)this.words[this.length++]=0;for(var N=0;N<I.length;N++)this.words[N]=this.words[N]|I.words[N];return this.strip()},s.prototype.ior=function(I){return i((this.negative|I.negative)===0),this.iuor(I)},s.prototype.or=function(I){return this.length>I.length?this.clone().ior(I):I.clone().ior(this)},s.prototype.uor=function(I){return this.length>I.length?this.clone().iuor(I):I.clone().iuor(this)},s.prototype.iuand=function(I){var N;this.length>I.length?N=I:N=this;for(var U=0;U<N.length;U++)this.words[U]=this.words[U]&I.words[U];return this.length=N.length,this.strip()},s.prototype.iand=function(I){return i((this.negative|I.negative)===0),this.iuand(I)},s.prototype.and=function(I){return this.length>I.length?this.clone().iand(I):I.clone().iand(this)},s.prototype.uand=function(I){return this.length>I.length?this.clone().iuand(I):I.clone().iuand(this)},s.prototype.iuxor=function(I){var N,U;this.length>I.length?(N=this,U=I):(N=I,U=this);for(var W=0;W<U.length;W++)this.words[W]=N.words[W]^U.words[W];if(this!==N)for(;W<N.length;W++)this.words[W]=N.words[W];return 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ie=G-oe|0;W=O.words[ie]|0,Q=I.words[oe]|0,ue=W*Q+J,$+=ue/67108864|0,J=ue&67108863}N.words[G]=J|0,he=$|0}return he!==0?N.words[G]=he|0:N.length--,N.strip()}var E=function(I,N,U){var W=I.words,Q=N.words,ue=U.words,le=0,he,G,$,J=W[0]|0,X=J&8191,oe=J>>>13,ie=W[1]|0,j=ie&8191,ee=ie>>>13,re=W[2]|0,ce=re&8191,be=re>>>13,Ae=W[3]|0,ze=Ae&8191,Re=Ae>>>13,Xe=W[4]|0,it=Xe&8191,ot=Xe>>>13,tt=W[5]|0,lt=tt&8191,Ee=tt>>>13,_e=W[6]|0,fe=_e&8191,Fe=_e>>>13,rt=W[7]|0,st=rt&8191,Qe=rt>>>13,Lt=W[8]|0,kt=Lt&8191,Vt=Lt>>>13,Zt=W[9]|0,Sr=Zt&8191,xr=Zt>>>13,jr=Q[0]|0,wr=jr&8191,Ir=jr>>>13,bt=Q[1]|0,Be=bt&8191,Ke=bt>>>13,Ue=Q[2]|0,Me=Ue&8191,qe=Ue>>>13,Ce=Q[3]|0,Te=Ce&8191,Pe=Ce>>>13,at=Q[4]|0,yt=at&8191,Tt=at>>>13,Ot=Q[5]|0,Gt=Ot&8191,rr=Ot>>>13,Qt=Q[6]|0,Tr=Qt&8191,la=Qt>>>13,Ua=Q[7]|0,Ba=Ua&8191,Ra=Ua>>>13,ei=Q[8]|0,za=ei&8191,ti=ei>>>13,Ci=Q[9]|0,Jt=Ci&8191,Nt=Ci>>>13;U.negative=I.negative^N.negative,U.length=19,he=Math.imul(X,wr),G=Math.imul(X,Ir),G=G+Math.imul(oe,wr)|0,$=Math.imul(oe,Ir);var Kt=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(Kt>>>26)|0,Kt&=67108863,he=Math.imul(j,wr),G=Math.imul(j,Ir),G=G+Math.imul(ee,wr)|0,$=Math.imul(ee,Ir),he=he+Math.imul(X,Be)|0,G=G+Math.imul(X,Ke)|0,G=G+Math.imul(oe,Be)|0,$=$+Math.imul(oe,Ke)|0;var Wt=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(Wt>>>26)|0,Wt&=67108863,he=Math.imul(ce,wr),G=Math.imul(ce,Ir),G=G+Math.imul(be,wr)|0,$=Math.imul(be,Ir),he=he+Math.imul(j,Be)|0,G=G+Math.imul(j,Ke)|0,G=G+Math.imul(ee,Be)|0,$=$+Math.imul(ee,Ke)|0,he=he+Math.imul(X,Me)|0,G=G+Math.imul(X,qe)|0,G=G+Math.imul(oe,Me)|0,$=$+Math.imul(oe,qe)|0;var Pr=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(Pr>>>26)|0,Pr&=67108863,he=Math.imul(ze,wr),G=Math.imul(ze,Ir),G=G+Math.imul(Re,wr)|0,$=Math.imul(Re,Ir),he=he+Math.imul(ce,Be)|0,G=G+Math.imul(ce,Ke)|0,G=G+Math.imul(be,Be)|0,$=$+Math.imul(be,Ke)|0,he=he+Math.imul(j,Me)|0,G=G+Math.imul(j,qe)|0,G=G+Math.imul(ee,Me)|0,$=$+Math.imul(ee,qe)|0,he=he+Math.imul(X,Te)|0,G=G+Math.imul(X,Pe)|0,G=G+Math.imul(oe,Te)|0,$=$+Math.imul(oe,Pe)|0;var ta=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(ta>>>26)|0,ta&=67108863,he=Math.imul(it,wr),G=Math.imul(it,Ir),G=G+Math.imul(ot,wr)|0,$=Math.imul(ot,Ir),he=he+Math.imul(ze,Be)|0,G=G+Math.imul(ze,Ke)|0,G=G+Math.imul(Re,Be)|0,$=$+Math.imul(Re,Ke)|0,he=he+Math.imul(ce,Me)|0,G=G+Math.imul(ce,qe)|0,G=G+Math.imul(be,Me)|0,$=$+Math.imul(be,qe)|0,he=he+Math.imul(j,Te)|0,G=G+Math.imul(j,Pe)|0,G=G+Math.imul(ee,Te)|0,$=$+Math.imul(ee,Pe)|0,he=he+Math.imul(X,yt)|0,G=G+Math.imul(X,Tt)|0,G=G+Math.imul(oe,yt)|0,$=$+Math.imul(oe,Tt)|0;var ma=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(ma>>>26)|0,ma&=67108863,he=Math.imul(lt,wr),G=Math.imul(lt,Ir),G=G+Math.imul(Ee,wr)|0,$=Math.imul(Ee,Ir),he=he+Math.imul(it,Be)|0,G=G+Math.imul(it,Ke)|0,G=G+Math.imul(ot,Be)|0,$=$+Math.imul(ot,Ke)|0,he=he+Math.imul(ze,Me)|0,G=G+Math.imul(ze,qe)|0,G=G+Math.imul(Re,Me)|0,$=$+Math.imul(Re,qe)|0,he=he+Math.imul(ce,Te)|0,G=G+Math.imul(ce,Pe)|0,G=G+Math.imul(be,Te)|0,$=$+Math.imul(be,Pe)|0,he=he+Math.imul(j,yt)|0,G=G+Math.imul(j,Tt)|0,G=G+Math.imul(ee,yt)|0,$=$+Math.imul(ee,Tt)|0,he=he+Math.imul(X,Gt)|0,G=G+Math.imul(X,rr)|0,G=G+Math.imul(oe,Gt)|0,$=$+Math.imul(oe,rr)|0;var ra=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(ra>>>26)|0,ra&=67108863,he=Math.imul(fe,wr),G=Math.imul(fe,Ir),G=G+Math.imul(Fe,wr)|0,$=Math.imul(Fe,Ir),he=he+Math.imul(lt,Be)|0,G=G+Math.imul(lt,Ke)|0,G=G+Math.imul(Ee,Be)|0,$=$+Math.imul(Ee,Ke)|0,he=he+Math.imul(it,Me)|0,G=G+Math.imul(it,qe)|0,G=G+Math.imul(ot,Me)|0,$=$+Math.imul(ot,qe)|0,he=he+Math.imul(ze,Te)|0,G=G+Math.imul(ze,Pe)|0,G=G+Math.imul(Re,Te)|0,$=$+Math.imul(Re,Pe)|0,he=he+Math.imul(ce,yt)|0,G=G+Math.imul(ce,Tt)|0,G=G+Math.imul(be,yt)|0,$=$+Math.imul(be,Tt)|0,he=he+Math.imul(j,Gt)|0,G=G+Math.imul(j,rr)|0,G=G+Math.imul(ee,Gt)|0,$=$+Math.imul(ee,rr)|0,he=he+Math.imul(X,Tr)|0,G=G+Math.imul(X,la)|0,G=G+Math.imul(oe,Tr)|0,$=$+Math.imul(oe,la)|0;var Ia=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(Ia>>>26)|0,Ia&=67108863,he=Math.imul(st,wr),G=Math.imul(st,Ir),G=G+Math.imul(Qe,wr)|0,$=Math.imul(Qe,Ir),he=he+Math.imul(fe,Be)|0,G=G+Math.imul(fe,Ke)|0,G=G+Math.imul(Fe,Be)|0,$=$+Math.imul(Fe,Ke)|0,he=he+Math.imul(lt,Me)|0,G=G+Math.imul(lt,qe)|0,G=G+Math.imul(Ee,Me)|0,$=$+Math.imul(Ee,qe)|0,he=he+Math.imul(it,Te)|0,G=G+Math.imul(it,Pe)|0,G=G+Math.imul(ot,Te)|0,$=$+Math.imul(ot,Pe)|0,he=he+Math.imul(ze,yt)|0,G=G+Math.imul(ze,Tt)|0,G=G+Math.imul(Re,yt)|0,$=$+Math.imul(Re,Tt)|0,he=he+Math.imul(ce,Gt)|0,G=G+Math.imul(ce,rr)|0,G=G+Math.imul(be,Gt)|0,$=$+Math.imul(be,rr)|0,he=he+Math.imul(j,Tr)|0,G=G+Math.imul(j,la)|0,G=G+Math.imul(ee,Tr)|0,$=$+Math.imul(ee,la)|0,he=he+Math.imul(X,Ba)|0,G=G+Math.imul(X,Ra)|0,G=G+Math.imul(oe,Ba)|0,$=$+Math.imul(oe,Ra)|0;var Ha=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(Ha>>>26)|0,Ha&=67108863,he=Math.imul(kt,wr),G=Math.imul(kt,Ir),G=G+Math.imul(Vt,wr)|0,$=Math.imul(Vt,Ir),he=he+Math.imul(st,Be)|0,G=G+Math.imul(st,Ke)|0,G=G+Math.imul(Qe,Be)|0,$=$+Math.imul(Qe,Ke)|0,he=he+Math.imul(fe,Me)|0,G=G+Math.imul(fe,qe)|0,G=G+Math.imul(Fe,Me)|0,$=$+Math.imul(Fe,qe)|0,he=he+Math.imul(lt,Te)|0,G=G+Math.imul(lt,Pe)|0,G=G+Math.imul(Ee,Te)|0,$=$+Math.imul(Ee,Pe)|0,he=he+Math.imul(it,yt)|0,G=G+Math.imul(it,Tt)|0,G=G+Math.imul(ot,yt)|0,$=$+Math.imul(ot,Tt)|0,he=he+Math.imul(ze,Gt)|0,G=G+Math.imul(ze,rr)|0,G=G+Math.imul(Re,Gt)|0,$=$+Math.imul(Re,rr)|0,he=he+Math.imul(ce,Tr)|0,G=G+Math.imul(ce,la)|0,G=G+Math.imul(be,Tr)|0,$=$+Math.imul(be,la)|0,he=he+Math.imul(j,Ba)|0,G=G+Math.imul(j,Ra)|0,G=G+Math.imul(ee,Ba)|0,$=$+Math.imul(ee,Ra)|0,he=he+Math.imul(X,za)|0,G=G+Math.imul(X,ti)|0,G=G+Math.imul(oe,za)|0,$=$+Math.imul(oe,ti)|0;var $a=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+($a>>>26)|0,$a&=67108863,he=Math.imul(Sr,wr),G=Math.imul(Sr,Ir),G=G+Math.imul(xr,wr)|0,$=Math.imul(xr,Ir),he=he+Math.imul(kt,Be)|0,G=G+Math.imul(kt,Ke)|0,G=G+Math.imul(Vt,Be)|0,$=$+Math.imul(Vt,Ke)|0,he=he+Math.imul(st,Me)|0,G=G+Math.imul(st,qe)|0,G=G+Math.imul(Qe,Me)|0,$=$+Math.imul(Qe,qe)|0,he=he+Math.imul(fe,Te)|0,G=G+Math.imul(fe,Pe)|0,G=G+Math.imul(Fe,Te)|0,$=$+Math.imul(Fe,Pe)|0,he=he+Math.imul(lt,yt)|0,G=G+Math.imul(lt,Tt)|0,G=G+Math.imul(Ee,yt)|0,$=$+Math.imul(Ee,Tt)|0,he=he+Math.imul(it,Gt)|0,G=G+Math.imul(it,rr)|0,G=G+Math.imul(ot,Gt)|0,$=$+Math.imul(ot,rr)|0,he=he+Math.imul(ze,Tr)|0,G=G+Math.imul(ze,la)|0,G=G+Math.imul(Re,Tr)|0,$=$+Math.imul(Re,la)|0,he=he+Math.imul(ce,Ba)|0,G=G+Math.imul(ce,Ra)|0,G=G+Math.imul(be,Ba)|0,$=$+Math.imul(be,Ra)|0,he=he+Math.imul(j,za)|0,G=G+Math.imul(j,ti)|0,G=G+Math.imul(ee,za)|0,$=$+Math.imul(ee,ti)|0,he=he+Math.imul(X,Jt)|0,G=G+Math.imul(X,Nt)|0,G=G+Math.imul(oe,Jt)|0,$=$+Math.imul(oe,Nt)|0;var ai=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(ai>>>26)|0,ai&=67108863,he=Math.imul(Sr,Be),G=Math.imul(Sr,Ke),G=G+Math.imul(xr,Be)|0,$=Math.imul(xr,Ke),he=he+Math.imul(kt,Me)|0,G=G+Math.imul(kt,qe)|0,G=G+Math.imul(Vt,Me)|0,$=$+Math.imul(Vt,qe)|0,he=he+Math.imul(st,Te)|0,G=G+Math.imul(st,Pe)|0,G=G+Math.imul(Qe,Te)|0,$=$+Math.imul(Qe,Pe)|0,he=he+Math.imul(fe,yt)|0,G=G+Math.imul(fe,Tt)|0,G=G+Math.imul(Fe,yt)|0,$=$+Math.imul(Fe,Tt)|0,he=he+Math.imul(lt,Gt)|0,G=G+Math.imul(lt,rr)|0,G=G+Math.imul(Ee,Gt)|0,$=$+Math.imul(Ee,rr)|0,he=he+Math.imul(it,Tr)|0,G=G+Math.imul(it,la)|0,G=G+Math.imul(ot,Tr)|0,$=$+Math.imul(ot,la)|0,he=he+Math.imul(ze,Ba)|0,G=G+Math.imul(ze,Ra)|0,G=G+Math.imul(Re,Ba)|0,$=$+Math.imul(Re,Ra)|0,he=he+Math.imul(ce,za)|0,G=G+Math.imul(ce,ti)|0,G=G+Math.imul(be,za)|0,$=$+Math.imul(be,ti)|0,he=he+Math.imul(j,Jt)|0,G=G+Math.imul(j,Nt)|0,G=G+Math.imul(ee,Jt)|0,$=$+Math.imul(ee,Nt)|0;var mi=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(mi>>>26)|0,mi&=67108863,he=Math.imul(Sr,Me),G=Math.imul(Sr,qe),G=G+Math.imul(xr,Me)|0,$=Math.imul(xr,qe),he=he+Math.imul(kt,Te)|0,G=G+Math.imul(kt,Pe)|0,G=G+Math.imul(Vt,Te)|0,$=$+Math.imul(Vt,Pe)|0,he=he+Math.imul(st,yt)|0,G=G+Math.imul(st,Tt)|0,G=G+Math.imul(Qe,yt)|0,$=$+Math.imul(Qe,Tt)|0,he=he+Math.imul(fe,Gt)|0,G=G+Math.imul(fe,rr)|0,G=G+Math.imul(Fe,Gt)|0,$=$+Math.imul(Fe,rr)|0,he=he+Math.imul(lt,Tr)|0,G=G+Math.imul(lt,la)|0,G=G+Math.imul(Ee,Tr)|0,$=$+Math.imul(Ee,la)|0,he=he+Math.imul(it,Ba)|0,G=G+Math.imul(it,Ra)|0,G=G+Math.imul(ot,Ba)|0,$=$+Math.imul(ot,Ra)|0,he=he+Math.imul(ze,za)|0,G=G+Math.imul(ze,ti)|0,G=G+Math.imul(Re,za)|0,$=$+Math.imul(Re,ti)|0,he=he+Math.imul(ce,Jt)|0,G=G+Math.imul(ce,Nt)|0,G=G+Math.imul(be,Jt)|0,$=$+Math.imul(be,Nt)|0;var xt=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(xt>>>26)|0,xt&=67108863,he=Math.imul(Sr,Te),G=Math.imul(Sr,Pe),G=G+Math.imul(xr,Te)|0,$=Math.imul(xr,Pe),he=he+Math.imul(kt,yt)|0,G=G+Math.imul(kt,Tt)|0,G=G+Math.imul(Vt,yt)|0,$=$+Math.imul(Vt,Tt)|0,he=he+Math.imul(st,Gt)|0,G=G+Math.imul(st,rr)|0,G=G+Math.imul(Qe,Gt)|0,$=$+Math.imul(Qe,rr)|0,he=he+Math.imul(fe,Tr)|0,G=G+Math.imul(fe,la)|0,G=G+Math.imul(Fe,Tr)|0,$=$+Math.imul(Fe,la)|0,he=he+Math.imul(lt,Ba)|0,G=G+Math.imul(lt,Ra)|0,G=G+Math.imul(Ee,Ba)|0,$=$+Math.imul(Ee,Ra)|0,he=he+Math.imul(it,za)|0,G=G+Math.imul(it,ti)|0,G=G+Math.imul(ot,za)|0,$=$+Math.imul(ot,ti)|0,he=he+Math.imul(ze,Jt)|0,G=G+Math.imul(ze,Nt)|0,G=G+Math.imul(Re,Jt)|0,$=$+Math.imul(Re,Nt)|0;var ct=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(ct>>>26)|0,ct&=67108863,he=Math.imul(Sr,yt),G=Math.imul(Sr,Tt),G=G+Math.imul(xr,yt)|0,$=Math.imul(xr,Tt),he=he+Math.imul(kt,Gt)|0,G=G+Math.imul(kt,rr)|0,G=G+Math.imul(Vt,Gt)|0,$=$+Math.imul(Vt,rr)|0,he=he+Math.imul(st,Tr)|0,G=G+Math.imul(st,la)|0,G=G+Math.imul(Qe,Tr)|0,$=$+Math.imul(Qe,la)|0,he=he+Math.imul(fe,Ba)|0,G=G+Math.imul(fe,Ra)|0,G=G+Math.imul(Fe,Ba)|0,$=$+Math.imul(Fe,Ra)|0,he=he+Math.imul(lt,za)|0,G=G+Math.imul(lt,ti)|0,G=G+Math.imul(Ee,za)|0,$=$+Math.imul(Ee,ti)|0,he=he+Math.imul(it,Jt)|0,G=G+Math.imul(it,Nt)|0,G=G+Math.imul(ot,Jt)|0,$=$+Math.imul(ot,Nt)|0;var Nr=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(Nr>>>26)|0,Nr&=67108863,he=Math.imul(Sr,Gt),G=Math.imul(Sr,rr),G=G+Math.imul(xr,Gt)|0,$=Math.imul(xr,rr),he=he+Math.imul(kt,Tr)|0,G=G+Math.imul(kt,la)|0,G=G+Math.imul(Vt,Tr)|0,$=$+Math.imul(Vt,la)|0,he=he+Math.imul(st,Ba)|0,G=G+Math.imul(st,Ra)|0,G=G+Math.imul(Qe,Ba)|0,$=$+Math.imul(Qe,Ra)|0,he=he+Math.imul(fe,za)|0,G=G+Math.imul(fe,ti)|0,G=G+Math.imul(Fe,za)|0,$=$+Math.imul(Fe,ti)|0,he=he+Math.imul(lt,Jt)|0,G=G+Math.imul(lt,Nt)|0,G=G+Math.imul(Ee,Jt)|0,$=$+Math.imul(Ee,Nt)|0;var Or=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(Or>>>26)|0,Or&=67108863,he=Math.imul(Sr,Tr),G=Math.imul(Sr,la),G=G+Math.imul(xr,Tr)|0,$=Math.imul(xr,la),he=he+Math.imul(kt,Ba)|0,G=G+Math.imul(kt,Ra)|0,G=G+Math.imul(Vt,Ba)|0,$=$+Math.imul(Vt,Ra)|0,he=he+Math.imul(st,za)|0,G=G+Math.imul(st,ti)|0,G=G+Math.imul(Qe,za)|0,$=$+Math.imul(Qe,ti)|0,he=he+Math.imul(fe,Jt)|0,G=G+Math.imul(fe,Nt)|0,G=G+Math.imul(Fe,Jt)|0,$=$+Math.imul(Fe,Nt)|0;var Rr=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(Rr>>>26)|0,Rr&=67108863,he=Math.imul(Sr,Ba),G=Math.imul(Sr,Ra),G=G+Math.imul(xr,Ba)|0,$=Math.imul(xr,Ra),he=he+Math.imul(kt,za)|0,G=G+Math.imul(kt,ti)|0,G=G+Math.imul(Vt,za)|0,$=$+Math.imul(Vt,ti)|0,he=he+Math.imul(st,Jt)|0,G=G+Math.imul(st,Nt)|0,G=G+Math.imul(Qe,Jt)|0,$=$+Math.imul(Qe,Nt)|0;var Lr=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(Lr>>>26)|0,Lr&=67108863,he=Math.imul(Sr,za),G=Math.imul(Sr,ti),G=G+Math.imul(xr,za)|0,$=Math.imul(xr,ti),he=he+Math.imul(kt,Jt)|0,G=G+Math.imul(kt,Nt)|0,G=G+Math.imul(Vt,Jt)|0,$=$+Math.imul(Vt,Nt)|0;var Gr=(le+he|0)+((G&8191)<<13)|0;le=($+(G>>>13)|0)+(Gr>>>26)|0,Gr&=67108863,he=Math.imul(Sr,Jt),G=Math.imul(Sr,Nt),G=G+Math.imul(xr,Jt)|0,$=Math.imul(xr,Nt);var Kr=(le+he|0)+((G&8191)<<13)|0;return le=($+(G>>>13)|0)+(Kr>>>26)|0,Kr&=67108863,ue[0]=Kt,ue[1]=Wt,ue[2]=Pr,ue[3]=ta,ue[4]=ma,ue[5]=ra,ue[6]=Ia,ue[7]=Ha,ue[8]=$a,ue[9]=ai,ue[10]=mi,ue[11]=xt,ue[12]=ct,ue[13]=Nr,ue[14]=Or,ue[15]=Rr,ue[16]=Lr,ue[17]=Gr,ue[18]=Kr,le!==0&&(ue[19]=le,U.length++),U};Math.imul||(E=S);function y(O,I,N){N.negative=I.negative^O.negative,N.length=O.length+I.length;for(var U=0,W=0,Q=0;Q<N.length-1;Q++){var ue=W;W=0;for(var le=U&67108863,he=Math.min(Q,I.length-1),G=Math.max(0,Q-O.length+1);G<=he;G++){var $=Q-G,J=O.words[$]|0,X=I.words[G]|0,oe=J*X,ie=oe&67108863;ue=ue+(oe/67108864|0)|0,ie=ie+le|0,le=ie&67108863,ue=ue+(ie>>>26)|0,W+=ue>>>26,ue&=67108863}N.words[Q]=le,U=ue,ue=W}return U!==0?N.words[Q]=U:N.length--,N.strip()}function b(O,I,N){var U=new p;return U.mulp(O,I,N)}s.prototype.mulTo=function(I,N){var U,W=this.length+I.length;return this.length===10&&I.length===10?U=E(this,I,N):W<63?U=S(this,I,N):W<1024?U=y(this,I,N):U=b(this,I,N),U};function p(O,I){this.x=O,this.y=I}p.prototype.makeRBT=function(I){for(var N=new Array(I),U=s.prototype._countBits(I)-1,W=0;W<I;W++)N[W]=this.revBin(W,U,I);return N},p.prototype.revBin=function(I,N,U){if(I===0||I===U-1)return I;for(var W=0,Q=0;Q<N;Q++)W|=(I&1)<<N-Q-1,I>>=1;return W},p.prototype.permute=function(I,N,U,W,Q,ue){for(var le=0;le<ue;le++)W[le]=N[I[le]],Q[le]=U[I[le]]},p.prototype.transform=function(I,N,U,W,Q,ue){this.permute(ue,I,N,U,W,Q);for(var le=1;le<Q;le<<=1)for(var he=le<<1,G=Math.cos(2*Math.PI/he),$=Math.sin(2*Math.PI/he),J=0;J<Q;J+=he)for(var X=G,oe=$,ie=0;ie<le;ie++){var j=U[J+ie],ee=W[J+ie],re=U[J+ie+le],ce=W[J+ie+le],be=X*re-oe*ce;ce=X*ce+oe*re,re=be,U[J+ie]=j+re,W[J+ie]=ee+ce,U[J+ie+le]=j-re,W[J+ie+le]=ee-ce,ie!==he&&(be=G*X-$*oe,oe=G*oe+$*X,X=be)}},p.prototype.guessLen13b=function(I,N){var U=Math.max(N,I)|1,W=U&1,Q=0;for(U=U/2|0;U;U=U>>>1)Q++;return 1<<Q+1+W},p.prototype.conjugate=function(I,N,U){if(!(U<=1))for(var W=0;W<U/2;W++){var Q=I[W];I[W]=I[U-W-1],I[U-W-1]=Q,Q=N[W],N[W]=-N[U-W-1],N[U-W-1]=-Q}},p.prototype.normalize13b=function(I,N){for(var U=0,W=0;W<N/2;W++){var Q=Math.round(I[2*W+1]/N)*8192+Math.round(I[2*W]/N)+U;I[W]=Q&67108863,Q<67108864?U=0:U=Q/67108864|0}return I},p.prototype.convert13b=function(I,N,U,W){for(var Q=0,ue=0;ue<N;ue++)Q=Q+(I[ue]|0),U[2*ue]=Q&8191,Q=Q>>>13,U[2*ue+1]=Q&8191,Q=Q>>>13;for(ue=2*N;ue<W;++ue)U[ue]=0;i(Q===0),i((Q&-8192)===0)},p.prototype.stub=function(I){for(var N=new Array(I),U=0;U<I;U++)N[U]=0;return N},p.prototype.mulp=function(I,N,U){var W=2*this.guessLen13b(I.length,N.length),Q=this.makeRBT(W),ue=this.stub(W),le=new Array(W),he=new Array(W),G=new Array(W),$=new Array(W),J=new Array(W),X=new Array(W),oe=U.words;oe.length=W,this.convert13b(I.words,I.length,le,W),this.convert13b(N.words,N.length,$,W),this.transform(le,ue,he,G,W,Q),this.transform($,ue,J,X,W,Q);for(var ie=0;ie<W;ie++){var j=he[ie]*J[ie]-G[ie]*X[ie];G[ie]=he[ie]*X[ie]+G[ie]*J[ie],he[ie]=j}return this.conjugate(he,G,W),this.transform(he,G,oe,ue,W,Q),this.conjugate(oe,ue,W),this.normalize13b(oe,W),U.negative=I.negative^N.negative,U.length=I.length+N.length,U.strip()},s.prototype.mul=function(I){var N=new s(null);return N.words=new Array(this.length+I.length),this.mulTo(I,N)},s.prototype.mulf=function(I){var N=new s(null);return N.words=new Array(this.length+I.length),b(this,I,N)},s.prototype.imul=function(I){return this.clone().mulTo(I,this)},s.prototype.imuln=function(I){i(typeof I==\"number\"),i(I<67108864);for(var N=0,U=0;U<this.length;U++){var W=(this.words[U]|0)*I,Q=(W&67108863)+(N&67108863);N>>=26,N+=W/67108864|0,N+=Q>>>26,this.words[U]=Q&67108863}return N!==0&&(this.words[U]=N,this.length++),this},s.prototype.muln=function(I){return this.clone().imuln(I)},s.prototype.sqr=function(){return this.mul(this)},s.prototype.isqr=function(){return this.imul(this.clone())},s.prototype.pow=function(I){var N=w(I);if(N.length===0)return new s(1);for(var U=this,W=0;W<N.length&&N[W]===0;W++,U=U.sqr());if(++W<N.length)for(var Q=U.sqr();W<N.length;W++,Q=Q.sqr())N[W]!==0&&(U=U.mul(Q));return U},s.prototype.iushln=function(I){i(typeof I==\"number\"&&I>=0);var N=I%26,U=(I-N)/26,W=67108863>>>26-N<<26-N,Q;if(N!==0){var ue=0;for(Q=0;Q<this.length;Q++){var le=this.words[Q]&W,he=(this.words[Q]|0)-le<<N;this.words[Q]=he|ue,ue=le>>>26-N}ue&&(this.words[Q]=ue,this.length++)}if(U!==0){for(Q=this.length-1;Q>=0;Q--)this.words[Q+U]=this.words[Q];for(Q=0;Q<U;Q++)this.words[Q]=0;this.length+=U}return this.strip()},s.prototype.ishln=function(I){return i(this.negative===0),this.iushln(I)},s.prototype.iushrn=function(I,N,U){i(typeof I==\"number\"&&I>=0);var W;N?W=(N-N%26)/26:W=0;var Q=I%26,ue=Math.min((I-Q)/26,this.length),le=67108863^67108863>>>Q<<Q,he=U;if(W-=ue,W=Math.max(0,W),he){for(var G=0;G<ue;G++)he.words[G]=this.words[G];he.length=ue}if(ue!==0)if(this.length>ue)for(this.length-=ue,G=0;G<this.length;G++)this.words[G]=this.words[G+ue];else this.words[0]=0,this.length=1;var $=0;for(G=this.length-1;G>=0&&($!==0||G>=W);G--){var J=this.words[G]|0;this.words[G]=$<<26-Q|J>>>Q,$=J&le}return he&&$!==0&&(he.words[he.length++]=$),this.length===0&&(this.words[0]=0,this.length=1),this.strip()},s.prototype.ishrn=function(I,N,U){return i(this.negative===0),this.iushrn(I,N,U)},s.prototype.shln=function(I){return this.clone().ishln(I)},s.prototype.ushln=function(I){return this.clone().iushln(I)},s.prototype.shrn=function(I){return this.clone().ishrn(I)},s.prototype.ushrn=function(I){return this.clone().iushrn(I)},s.prototype.testn=function(I){i(typeof I==\"number\"&&I>=0);var N=I%26,U=(I-N)/26,W=1<<N;if(this.length<=U)return!1;var Q=this.words[U];return!!(Q&W)},s.prototype.imaskn=function(I){i(typeof I==\"number\"&&I>=0);var N=I%26,U=(I-N)/26;if(i(this.negative===0,\"imaskn works only with positive numbers\"),this.length<=U)return this;if(N!==0&&U++,this.length=Math.min(U,this.length),N!==0){var W=67108863^67108863>>>N<<N;this.words[this.length-1]&=W}return this.strip()},s.prototype.maskn=function(I){return this.clone().imaskn(I)},s.prototype.iaddn=function(I){return i(typeof I==\"number\"),i(I<67108864),I<0?this.isubn(-I):this.negative!==0?this.length===1&&(this.words[0]|0)<I?(this.words[0]=I-(this.words[0]|0),this.negative=0,this):(this.negative=0,this.isubn(I),this.negative=1,this):this._iaddn(I)},s.prototype._iaddn=function(I){this.words[0]+=I;for(var N=0;N<this.length&&this.words[N]>=67108864;N++)this.words[N]-=67108864,N===this.length-1?this.words[N+1]=1:this.words[N+1]++;return this.length=Math.max(this.length,N+1),this},s.prototype.isubn=function(I){if(i(typeof I==\"number\"),i(I<67108864),I<0)return this.iaddn(-I);if(this.negative!==0)return this.negative=0,this.iaddn(I),this.negative=1,this;if(this.words[0]-=I,this.length===1&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var N=0;N<this.length&&this.words[N]<0;N++)this.words[N]+=67108864,this.words[N+1]-=1;return this.strip()},s.prototype.addn=function(I){return this.clone().iaddn(I)},s.prototype.subn=function(I){return this.clone().isubn(I)},s.prototype.iabs=function(){return this.negative=0,this},s.prototype.abs=function(){return this.clone().iabs()},s.prototype._ishlnsubmul=function(I,N,U){var W=I.length+U,Q;this._expand(W);var ue,le=0;for(Q=0;Q<I.length;Q++){ue=(this.words[Q+U]|0)+le;var he=(I.words[Q]|0)*N;ue-=he&67108863,le=(ue>>26)-(he/67108864|0),this.words[Q+U]=ue&67108863}for(;Q<this.length-U;Q++)ue=(this.words[Q+U]|0)+le,le=ue>>26,this.words[Q+U]=ue&67108863;if(le===0)return this.strip();for(i(le===-1),le=0,Q=0;Q<this.length;Q++)ue=-(this.words[Q]|0)+le,le=ue>>26,this.words[Q]=ue&67108863;return this.negative=1,this.strip()},s.prototype._wordDiv=function(I,N){var U=this.length-I.length,W=this.clone(),Q=I,ue=Q.words[Q.length-1]|0,le=this._countBits(ue);U=26-le,U!==0&&(Q=Q.ushln(U),W.iushln(U),ue=Q.words[Q.length-1]|0);var he=W.length-Q.length,G;if(N!==\"mod\"){G=new s(null),G.length=he+1,G.words=new Array(G.length);for(var $=0;$<G.length;$++)G.words[$]=0}var J=W.clone()._ishlnsubmul(Q,1,he);J.negative===0&&(W=J,G&&(G.words[he]=1));for(var X=he-1;X>=0;X--){var oe=(W.words[Q.length+X]|0)*67108864+(W.words[Q.length+X-1]|0);for(oe=Math.min(oe/ue|0,67108863),W._ishlnsubmul(Q,oe,X);W.negative!==0;)oe--,W.negative=0,W._ishlnsubmul(Q,1,X),W.isZero()||(W.negative^=1);G&&(G.words[X]=oe)}return G&&G.strip(),W.strip(),N!==\"div\"&&U!==0&&W.iushrn(U),{div:G||null,mod:W}},s.prototype.divmod=function(I,N,U){if(i(!I.isZero()),this.isZero())return{div:new s(0),mod:new s(0)};var W,Q,ue;return this.negative!==0&&I.negative===0?(ue=this.neg().divmod(I,N),N!==\"mod\"&&(W=ue.div.neg()),N!==\"div\"&&(Q=ue.mod.neg(),U&&Q.negative!==0&&Q.iadd(I)),{div:W,mod:Q}):this.negative===0&&I.negative!==0?(ue=this.divmod(I.neg(),N),N!==\"mod\"&&(W=ue.div.neg()),{div:W,mod:ue.mod}):this.negative&I.negative?(ue=this.neg().divmod(I.neg(),N),N!==\"div\"&&(Q=ue.mod.neg(),U&&Q.negative!==0&&Q.isub(I)),{div:ue.div,mod:Q}):I.length>this.length||this.cmp(I)<0?{div:new s(0),mod:this}:I.length===1?N===\"div\"?{div:this.divn(I.words[0]),mod:null}:N===\"mod\"?{div:null,mod:new s(this.modn(I.words[0]))}:{div:this.divn(I.words[0]),mod:new s(this.modn(I.words[0]))}:this._wordDiv(I,N)},s.prototype.div=function(I){return this.divmod(I,\"div\",!1).div},s.prototype.mod=function(I){return this.divmod(I,\"mod\",!1).mod},s.prototype.umod=function(I){return this.divmod(I,\"mod\",!0).mod},s.prototype.divRound=function(I){var N=this.divmod(I);if(N.mod.isZero())return N.div;var U=N.div.negative!==0?N.mod.isub(I):N.mod,W=I.ushrn(1),Q=I.andln(1),ue=U.cmp(W);return ue<0||Q===1&&ue===0?N.div:N.div.negative!==0?N.div.isubn(1):N.div.iaddn(1)},s.prototype.modn=function(I){i(I<=67108863);for(var N=(1<<26)%I,U=0,W=this.length-1;W>=0;W--)U=(N*U+(this.words[W]|0))%I;return U},s.prototype.idivn=function(I){i(I<=67108863);for(var N=0,U=this.length-1;U>=0;U--){var W=(this.words[U]|0)+N*67108864;this.words[U]=W/I|0,N=W%I}return this.strip()},s.prototype.divn=function(I){return this.clone().idivn(I)},s.prototype.egcd=function(I){i(I.negative===0),i(!I.isZero());var N=this,U=I.clone();N.negative!==0?N=N.umod(I):N=N.clone();for(var W=new s(1),Q=new s(0),ue=new s(0),le=new s(1),he=0;N.isEven()&&U.isEven();)N.iushrn(1),U.iushrn(1),++he;for(var G=U.clone(),$=N.clone();!N.isZero();){for(var J=0,X=1;!(N.words[0]&X)&&J<26;++J,X<<=1);if(J>0)for(N.iushrn(J);J-- >0;)(W.isOdd()||Q.isOdd())&&(W.iadd(G),Q.isub($)),W.iushrn(1),Q.iushrn(1);for(var oe=0,ie=1;!(U.words[0]&ie)&&oe<26;++oe,ie<<=1);if(oe>0)for(U.iushrn(oe);oe-- >0;)(ue.isOdd()||le.isOdd())&&(ue.iadd(G),le.isub($)),ue.iushrn(1),le.iushrn(1);N.cmp(U)>=0?(N.isub(U),W.isub(ue),Q.isub(le)):(U.isub(N),ue.isub(W),le.isub(Q))}return{a:ue,b:le,gcd:U.iushln(he)}},s.prototype._invmp=function(I){i(I.negative===0),i(!I.isZero());var N=this,U=I.clone();N.negative!==0?N=N.umod(I):N=N.clone();for(var W=new s(1),Q=new s(0),ue=U.clone();N.cmpn(1)>0&&U.cmpn(1)>0;){for(var le=0,he=1;!(N.words[0]&he)&&le<26;++le,he<<=1);if(le>0)for(N.iushrn(le);le-- >0;)W.isOdd()&&W.iadd(ue),W.iushrn(1);for(var G=0,$=1;!(U.words[0]&$)&&G<26;++G,$<<=1);if(G>0)for(U.iushrn(G);G-- >0;)Q.isOdd()&&Q.iadd(ue),Q.iushrn(1);N.cmp(U)>=0?(N.isub(U),W.isub(Q)):(U.isub(N),Q.isub(W))}var J;return N.cmpn(1)===0?J=W:J=Q,J.cmpn(0)<0&&J.iadd(I),J},s.prototype.gcd=function(I){if(this.isZero())return I.abs();if(I.isZero())return this.abs();var N=this.clone(),U=I.clone();N.negative=0,U.negative=0;for(var W=0;N.isEven()&&U.isEven();W++)N.iushrn(1),U.iushrn(1);do{for(;N.isEven();)N.iushrn(1);for(;U.isEven();)U.iushrn(1);var Q=N.cmp(U);if(Q<0){var ue=N;N=U,U=ue}else if(Q===0||U.cmpn(1)===0)break;N.isub(U)}while(!0);return U.iushln(W)},s.prototype.invm=function(I){return this.egcd(I).a.umod(I)},s.prototype.isEven=function(){return(this.words[0]&1)===0},s.prototype.isOdd=function(){return(this.words[0]&1)===1},s.prototype.andln=function(I){return this.words[0]&I},s.prototype.bincn=function(I){i(typeof I==\"number\");var N=I%26,U=(I-N)/26,W=1<<N;if(this.length<=U)return this._expand(U+1),this.words[U]|=W,this;for(var Q=W,ue=U;Q!==0&&ue<this.length;ue++){var le=this.words[ue]|0;le+=Q,Q=le>>>26,le&=67108863,this.words[ue]=le}return Q!==0&&(this.words[ue]=Q,this.length++),this},s.prototype.isZero=function(){return this.length===1&&this.words[0]===0},s.prototype.cmpn=function(I){var N=I<0;if(this.negative!==0&&!N)return-1;if(this.negative===0&&N)return 1;this.strip();var U;if(this.length>1)U=1;else{N&&(I=-I),i(I<=67108863,\"Number is too big\");var W=this.words[0]|0;U=W===I?0:W<I?-1:1}return this.negative!==0?-U|0:U},s.prototype.cmp=function(I){if(this.negative!==0&&I.negative===0)return-1;if(this.negative===0&&I.negative!==0)return 1;var N=this.ucmp(I);return this.negative!==0?-N|0:N},s.prototype.ucmp=function(I){if(this.length>I.length)return 1;if(this.length<I.length)return-1;for(var N=0,U=this.length-1;U>=0;U--){var W=this.words[U]|0,Q=I.words[U]|0;if(W!==Q){W<Q?N=-1:W>Q&&(N=1);break}}return N},s.prototype.gtn=function(I){return this.cmpn(I)===1},s.prototype.gt=function(I){return this.cmp(I)===1},s.prototype.gten=function(I){return this.cmpn(I)>=0},s.prototype.gte=function(I){return this.cmp(I)>=0},s.prototype.ltn=function(I){return this.cmpn(I)===-1},s.prototype.lt=function(I){return this.cmp(I)===-1},s.prototype.lten=function(I){return this.cmpn(I)<=0},s.prototype.lte=function(I){return this.cmp(I)<=0},s.prototype.eqn=function(I){return this.cmpn(I)===0},s.prototype.eq=function(I){return this.cmp(I)===0},s.red=function(I){return new F(I)},s.prototype.toRed=function(I){return i(!this.red,\"Already a number in reduction context\"),i(this.negative===0,\"red works only with positives\"),I.convertTo(this)._forceRed(I)},s.prototype.fromRed=function(){return i(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},s.prototype._forceRed=function(I){return this.red=I,this},s.prototype.forceRed=function(I){return i(!this.red,\"Already a number in reduction context\"),this._forceRed(I)},s.prototype.redAdd=function(I){return i(this.red,\"redAdd works only with red numbers\"),this.red.add(this,I)},s.prototype.redIAdd=function(I){return i(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,I)},s.prototype.redSub=function(I){return i(this.red,\"redSub works only with red numbers\"),this.red.sub(this,I)},s.prototype.redISub=function(I){return i(this.red,\"redISub works only with red numbers\"),this.red.isub(this,I)},s.prototype.redShl=function(I){return i(this.red,\"redShl works only with red numbers\"),this.red.shl(this,I)},s.prototype.redMul=function(I){return i(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,I),this.red.mul(this,I)},s.prototype.redIMul=function(I){return i(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,I),this.red.imul(this,I)},s.prototype.redSqr=function(){return i(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},s.prototype.redISqr=function(){return i(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},s.prototype.redSqrt=function(){return i(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},s.prototype.redInvm=function(){return i(this.red,\"redInvm works only with red 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h(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}n(h,m),h.prototype.split=function(I,N){for(var U=4194303,W=Math.min(I.length,9),Q=0;Q<W;Q++)N.words[Q]=I.words[Q];if(N.length=W,I.length<=9){I.words[0]=0,I.length=1;return}var ue=I.words[9];for(N.words[N.length++]=ue&U,Q=10;Q<I.length;Q++){var le=I.words[Q]|0;I.words[Q-10]=(le&U)<<4|ue>>>22,ue=le}ue>>>=22,I.words[Q-10]=ue,ue===0&&I.length>10?I.length-=10:I.length-=9},h.prototype.imulK=function(I){I.words[I.length]=0,I.words[I.length+1]=0,I.length+=2;for(var N=0,U=0;U<I.length;U++){var W=I.words[U]|0;N+=W*977,I.words[U]=N&67108863,N=W*64+(N/67108864|0)}return I.words[I.length-1]===0&&(I.length--,I.words[I.length-1]===0&&I.length--),I};function P(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}n(P,m);function L(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}n(L,m);function z(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}n(z,m),z.prototype.imulK=function(I){for(var N=0,U=0;U<I.length;U++){var W=(I.words[U]|0)*19+N,Q=W&67108863;W>>>=26,I.words[U]=Q,N=W}return N!==0&&(I.words[I.length++]=N),I},s._prime=function(I){if(u[I])return u[I];var N;if(I===\"k256\")N=new h;else if(I===\"p224\")N=new P;else if(I===\"p192\")N=new L;else if(I===\"p25519\")N=new z;else throw new Error(\"Unknown prime \"+I);return u[I]=N,N};function F(O){if(typeof O==\"string\"){var I=s._prime(O);this.m=I.p,this.prime=I}else i(O.gtn(1),\"modulus must be greater than 1\"),this.m=O,this.prime=null}F.prototype._verify1=function(I){i(I.negative===0,\"red works only with positives\"),i(I.red,\"red works only with red numbers\")},F.prototype._verify2=function(I,N){i((I.negative|N.negative)===0,\"red works only with positives\"),i(I.red&&I.red===N.red,\"red works only with red numbers\")},F.prototype.imod=function(I){return this.prime?this.prime.ireduce(I)._forceRed(this):I.umod(this.m)._forceRed(this)},F.prototype.neg=function(I){return I.isZero()?I.clone():this.m.sub(I)._forceRed(this)},F.prototype.add=function(I,N){this._verify2(I,N);var U=I.add(N);return U.cmp(this.m)>=0&&U.isub(this.m),U._forceRed(this)},F.prototype.iadd=function(I,N){this._verify2(I,N);var U=I.iadd(N);return U.cmp(this.m)>=0&&U.isub(this.m),U},F.prototype.sub=function(I,N){this._verify2(I,N);var U=I.sub(N);return U.cmpn(0)<0&&U.iadd(this.m),U._forceRed(this)},F.prototype.isub=function(I,N){this._verify2(I,N);var U=I.isub(N);return U.cmpn(0)<0&&U.iadd(this.m),U},F.prototype.shl=function(I,N){return this._verify1(I),this.imod(I.ushln(N))},F.prototype.imul=function(I,N){return this._verify2(I,N),this.imod(I.imul(N))},F.prototype.mul=function(I,N){return this._verify2(I,N),this.imod(I.mul(N))},F.prototype.isqr=function(I){return this.imul(I,I.clone())},F.prototype.sqr=function(I){return this.mul(I,I)},F.prototype.sqrt=function(I){if(I.isZero())return I.clone();var N=this.m.andln(3);if(i(N%2===1),N===3){var U=this.m.add(new s(1)).iushrn(2);return this.pow(I,U)}for(var W=this.m.subn(1),Q=0;!W.isZero()&&W.andln(1)===0;)Q++,W.iushrn(1);i(!W.isZero());var ue=new s(1).toRed(this),le=ue.redNeg(),he=this.m.subn(1).iushrn(1),G=this.m.bitLength();for(G=new s(2*G*G).toRed(this);this.pow(G,he).cmp(le)!==0;)G.redIAdd(le);for(var $=this.pow(G,W),J=this.pow(I,W.addn(1).iushrn(1)),X=this.pow(I,W),oe=Q;X.cmp(ue)!==0;){for(var ie=X,j=0;ie.cmp(ue)!==0;j++)ie=ie.redSqr();i(j<oe);var ee=this.pow($,new s(1).iushln(oe-j-1));J=J.redMul(ee),$=ee.redSqr(),X=X.redMul($),oe=j}return J},F.prototype.invm=function(I){var N=I._invmp(this.m);return N.negative!==0?(N.negative=0,this.imod(N).redNeg()):this.imod(N)},F.prototype.pow=function(I,N){if(N.isZero())return new s(1).toRed(this);if(N.cmpn(1)===0)return I.clone();var U=4,W=new Array(1<<U);W[0]=new s(1).toRed(this),W[1]=I;for(var Q=2;Q<W.length;Q++)W[Q]=this.mul(W[Q-1],I);var ue=W[0],le=0,he=0,G=N.bitLength()%26;for(G===0&&(G=26),Q=N.length-1;Q>=0;Q--){for(var $=N.words[Q],J=G-1;J>=0;J--){var X=$>>J&1;if(ue!==W[0]&&(ue=this.sqr(ue)),X===0&&le===0){he=0;continue}le<<=1,le|=X,he++,!(he!==U&&(Q!==0||J!==0))&&(ue=this.mul(ue,W[le]),he=0,le=0)}G=26}return ue},F.prototype.convertTo=function(I){var N=I.umod(this.m);return N===I?N.clone():N},F.prototype.convertFrom=function(I){var N=I.clone();return N.red=null,N},s.mont=function(I){return new B(I)};function B(O){F.call(this,O),this.shift=this.m.bitLength(),this.shift%26!==0&&(this.shift+=26-this.shift%26),this.r=new s(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}n(B,F),B.prototype.convertTo=function(I){return this.imod(I.ushln(this.shift))},B.prototype.convertFrom=function(I){var 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P=y[h-2];P.left===p?P.left=u:P.right=u}y[h-1]=u;return}else if(u.left&&u.left._color===t){if(u=p.right=a(u),m=u.left=a(u.left),p.right=m.left,u.left=m.right,m.left=p,m.right=u,m._color=p._color,p._color=r,u._color=r,b._color=r,n(p),n(u),n(m),h>1){var P=y[h-2];P.left===p?P.left=m:P.right=m}y[h-1]=m;return}if(u._color===r)if(p._color===t){p._color=r,p.right=i(t,u);return}else{p.right=i(t,u);continue}else{if(u=a(u),p.right=u.left,u.left=p,u._color=p._color,p._color=t,n(p),n(u),h>1){var P=y[h-2];P.left===p?P.left=u:P.right=u}y[h-1]=u,y[h]=p,h+1<y.length?y[h+1]=b:y.push(b),h=h+2}}else{if(u=p.left,u.left&&u.left._color===t){if(u=p.left=a(u),m=u.left=a(u.left),p.left=u.right,u.right=p,u.left=m,u._color=p._color,b._color=r,p._color=r,m._color=r,n(p),n(u),h>1){var P=y[h-2];P.right===p?P.right=u:P.left=u}y[h-1]=u;return}else if(u.right&&u.right._color===t){if(u=p.left=a(u),m=u.right=a(u.right),p.left=m.right,u.right=m.left,m.right=p,m.left=u,m._color=p._color,p._color=r,u._color=r,b._color=r,n(p),n(u),n(m),h>1){var P=y[h-2];P.right===p?P.right=m:P.left=m}y[h-1]=m;return}if(u._color===r)if(p._color===t){p._color=r,p.left=i(t,u);return}else{p.left=i(t,u);continue}else{if(u=a(u),p.left=u.right,u.right=p,u._color=p._color,p._color=t,n(p),n(u),h>1){var P=y[h-2];P.right===p?P.right=u:P.left=u}y[h-1]=u,y[h]=p,h+1<y.length?y[h+1]=b:y.push(b),h=h+2}}}}l.remove=function(){var y=this._stack;if(y.length===0)return this.tree;var b=new Array(y.length),p=y[y.length-1];b[b.length-1]=new o(p._color,p.key,p.value,p.left,p.right,p._count);for(var u=y.length-2;u>=0;--u){var p=y[u];p.left===y[u+1]?b[u]=new o(p._color,p.key,p.value,b[u+1],p.right,p._count):b[u]=new o(p._color,p.key,p.value,p.left,b[u+1],p._count)}if(p=b[b.length-1],p.left&&p.right){var m=b.length;for(p=p.left;p.right;)b.push(p),p=p.right;var h=b[m-1];b.push(new o(p._color,h.key,h.value,p.left,p.right,p._count)),b[m-1].key=p.key,b[m-1].value=p.value;for(var u=b.length-2;u>=m;--u)p=b[u],b[u]=new o(p._color,p.key,p.value,p.left,b[u+1],p._count);b[m-1].left=b[m]}if(p=b[b.length-1],p._color===t){var P=b[b.length-2];P.left===p?P.left=null:P.right===p&&(P.right=null),b.pop();for(var u=0;u<b.length;++u)b[u]._count--;return new s(this.tree._compare,b[0])}else if(p.left||p.right){p.left?_(p,p.left):p.right&&_(p,p.right),p._color=r;for(var u=0;u<b.length-1;++u)b[u]._count--;return new s(this.tree._compare,b[0])}else{if(b.length===1)return new s(this.tree._compare,null);for(var u=0;u<b.length;++u)b[u]._count--;var L=b[b.length-2];w(b),L.left===p?L.left=null:L.right=null}return new s(this.tree._compare,b[0])},Object.defineProperty(l,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(l,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(l,\"index\",{get:function(){var y=0,b=this._stack;if(b.length===0){var p=this.tree.root;return p?p._count:0}else b[b.length-1].left&&(y=b[b.length-1].left._count);for(var u=b.length-2;u>=0;--u)b[u+1]===b[u].right&&(++y,b[u].left&&(y+=b[u].left._count));return y},enumerable:!0}),l.next=function(){var y=this._stack;if(y.length!==0){var b=y[y.length-1];if(b.right)for(b=b.right;b;)y.push(b),b=b.left;else for(y.pop();y.length>0&&y[y.length-1].right===b;)b=y[y.length-1],y.pop()}},Object.defineProperty(l,\"hasNext\",{get:function(){var y=this._stack;if(y.length===0)return!1;if(y[y.length-1].right)return!0;for(var b=y.length-1;b>0;--b)if(y[b-1].left===y[b])return!0;return!1}}),l.update=function(y){var b=this._stack;if(b.length===0)throw new Error(\"Can't update empty node!\");var p=new Array(b.length),u=b[b.length-1];p[p.length-1]=new o(u._color,u.key,y,u.left,u.right,u._count);for(var m=b.length-2;m>=0;--m)u=b[m],u.left===b[m+1]?p[m]=new o(u._color,u.key,u.value,p[m+1],u.right,u._count):p[m]=new o(u._color,u.key,u.value,u.left,p[m+1],u._count);return new s(this.tree._compare,p[0])},l.prev=function(){var y=this._stack;if(y.length!==0){var b=y[y.length-1];if(b.left)for(b=b.left;b;)y.push(b),b=b.right;else for(y.pop();y.length>0&&y[y.length-1].left===b;)b=y[y.length-1],y.pop()}},Object.defineProperty(l,\"hasPrev\",{get:function(){var y=this._stack;if(y.length===0)return!1;if(y[y.length-1].left)return!0;for(var b=y.length-1;b>0;--b)if(y[b-1].right===y[b])return!0;return!1}});function S(y,b){return y<b?-1:y>b?1:0}function E(y){return new s(y||S,null)}},3837:function(e,t,r){\"use strict\";e.exports=L;var o=r(4935),a=r(501),i=r(5304),n=r(6429),s=r(6444),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),f=ArrayBuffer,g=DataView;function v(z){return f.isView(z)&&!(z instanceof g)}function T(z){return Array.isArray(z)||v(z)}function l(z,F){return z[0]=F[0],z[1]=F[1],z[2]=F[2],z}function _(z){this.gl=z,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=i(z)}var w=_.prototype;w.update=function(z){z=z||{};function F(X,oe,ie){if(ie in z){var j=z[ie],ee=this[ie],re;(X?T(j)&&T(j[0]):T(j))?this[ie]=re=[oe(j[0]),oe(j[1]),oe(j[2])]:this[ie]=re=[oe(j),oe(j),oe(j)];for(var ce=0;ce<3;++ce)if(re[ce]!==ee[ce])return!0}return!1}var B=F.bind(this,!1,Number),O=F.bind(this,!1,Boolean),I=F.bind(this,!1,String),N=F.bind(this,!0,function(X){if(T(X)){if(X.length===3)return[+X[0],+X[1],+X[2],1];if(X.length===4)return[+X[0],+X[1],+X[2],+X[3]]}return[0,0,0,1]}),U,W=!1,Q=!1;if(\"bounds\"in z)for(var ue=z.bounds,le=0;le<2;++le)for(var he=0;he<3;++he)ue[le][he]!==this.bounds[le][he]&&(Q=!0),this.bounds[le][he]=ue[le][he];if(\"ticks\"in z){U=z.ticks,W=!0,this.autoTicks=!1;for(var le=0;le<3;++le)this.tickSpacing[le]=0}else B(\"tickSpacing\")&&(this.autoTicks=!0,Q=!0);if(this._firstInit&&(\"ticks\"in z||\"tickSpacing\"in z||(this.autoTicks=!0),Q=!0,W=!0,this._firstInit=!1),Q&&this.autoTicks&&(U=s.create(this.bounds,this.tickSpacing),W=!0),W){for(var le=0;le<3;++le)U[le].sort(function(oe,ie){return oe.x-ie.x});s.equal(U,this.ticks)?W=!1:this.ticks=U}O(\"tickEnable\"),I(\"tickFont\")&&(W=!0),I(\"tickFontStyle\")&&(W=!0),I(\"tickFontWeight\")&&(W=!0),I(\"tickFontVariant\")&&(W=!0),B(\"tickSize\"),B(\"tickAngle\"),B(\"tickPad\"),N(\"tickColor\");var G=I(\"labels\");I(\"labelFont\")&&(G=!0),I(\"labelFontStyle\")&&(G=!0),I(\"labelFontWeight\")&&(G=!0),I(\"labelFontVariant\")&&(G=!0),O(\"labelEnable\"),B(\"labelSize\"),B(\"labelPad\"),N(\"labelColor\"),O(\"lineEnable\"),O(\"lineMirror\"),B(\"lineWidth\"),N(\"lineColor\"),O(\"lineTickEnable\"),O(\"lineTickMirror\"),B(\"lineTickLength\"),B(\"lineTickWidth\"),N(\"lineTickColor\"),O(\"gridEnable\"),B(\"gridWidth\"),N(\"gridColor\"),O(\"zeroEnable\"),N(\"zeroLineColor\"),B(\"zeroLineWidth\"),O(\"backgroundEnable\"),N(\"backgroundColor\");var $=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],J=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(G||W)&&this._text.update(this.bounds,this.labels,$,this.ticks,J):this._text=o(this.gl,this.bounds,this.labels,$,this.ticks,J),this._lines&&W&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};function S(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}var E=[new S,new S,new S];function y(z,F,B,O,I){for(var N=z.primalOffset,U=z.primalMinor,W=z.mirrorOffset,Q=z.mirrorMinor,ue=O[F],le=0;le<3;++le)if(F!==le){var he=N,G=W,$=U,J=Q;ue&1<<le&&(he=W,G=N,$=Q,J=U),he[le]=B[0][le],G[le]=B[1][le],I[le]>0?($[le]=-1,J[le]=0):($[le]=0,J[le]=1)}}var b=[0,0,0],p={model:c,view:c,projection:c,_ortho:!1};w.isOpaque=function(){return!0},w.isTransparent=function(){return!1},w.drawTransparent=function(z){};var u=0,m=[0,0,0],h=[0,0,0],P=[0,0,0];w.draw=function(z){z=z||p;for(var ie=this.gl,F=z.model||c,B=z.view||c,O=z.projection||c,I=this.bounds,N=z._ortho||!1,U=n(F,B,O,I,N),W=U.cubeEdges,Q=U.axis,ue=B[12],le=B[13],he=B[14],G=B[15],$=N?2:1,J=$*this.pixelRatio*(O[3]*ue+O[7]*le+O[11]*he+O[15]*G)/ie.drawingBufferHeight,X=0;X<3;++X)this.lastCubeProps.cubeEdges[X]=W[X],this.lastCubeProps.axis[X]=Q[X];for(var oe=E,X=0;X<3;++X)y(E[X],X,this.bounds,W,Q);for(var ie=this.gl,j=b,X=0;X<3;++X)this.backgroundEnable[X]?j[X]=Q[X]:j[X]=0;this._background.draw(F,B,O,I,j,this.backgroundColor),this._lines.bind(F,B,O,this);for(var X=0;X<3;++X){var ee=[0,0,0];Q[X]>0?ee[X]=I[1][X]:ee[X]=I[0][X];for(var re=0;re<2;++re){var ce=(X+1+re)%3,be=(X+1+(re^1))%3;this.gridEnable[ce]&&this._lines.drawGrid(ce,be,this.bounds,ee,this.gridColor[ce],this.gridWidth[ce]*this.pixelRatio)}for(var re=0;re<2;++re){var ce=(X+1+re)%3,be=(X+1+(re^1))%3;this.zeroEnable[be]&&Math.min(I[0][be],I[1][be])<=0&&Math.max(I[0][be],I[1][be])>=0&&this._lines.drawZero(ce,be,this.bounds,ee,this.zeroLineColor[be],this.zeroLineWidth[be]*this.pixelRatio)}}for(var X=0;X<3;++X){this.lineEnable[X]&&this._lines.drawAxisLine(X,this.bounds,oe[X].primalOffset,this.lineColor[X],this.lineWidth[X]*this.pixelRatio),this.lineMirror[X]&&this._lines.drawAxisLine(X,this.bounds,oe[X].mirrorOffset,this.lineColor[X],this.lineWidth[X]*this.pixelRatio);for(var Ae=l(m,oe[X].primalMinor),ze=l(h,oe[X].mirrorMinor),Re=this.lineTickLength,re=0;re<3;++re){var Xe=J/F[5*re];Ae[re]*=Re[re]*Xe,ze[re]*=Re[re]*Xe}this.lineTickEnable[X]&&this._lines.drawAxisTicks(X,oe[X].primalOffset,Ae,this.lineTickColor[X],this.lineTickWidth[X]*this.pixelRatio),this.lineTickMirror[X]&&this._lines.drawAxisTicks(X,oe[X].mirrorOffset,ze,this.lineTickColor[X],this.lineTickWidth[X]*this.pixelRatio)}this._lines.unbind(),this._text.bind(F,B,O,this.pixelRatio);var it,ot=.5,tt,lt;function Ee(Qe){lt=[0,0,0],lt[Qe]=1}function _e(Qe,Lt,kt){var Vt=(Qe+1)%3,Zt=(Qe+2)%3,Sr=Lt[Vt],xr=Lt[Zt],jr=kt[Vt],wr=kt[Zt];if(Sr>0&&wr>0){Ee(Vt);return}else if(Sr>0&&wr<0){Ee(Vt);return}else if(Sr<0&&wr>0){Ee(Vt);return}else if(Sr<0&&wr<0){Ee(Vt);return}else if(xr>0&&jr>0){Ee(Zt);return}else if(xr>0&&jr<0){Ee(Zt);return}else if(xr<0&&jr>0){Ee(Zt);return}else if(xr<0&&jr<0){Ee(Zt);return}}for(var X=0;X<3;++X){for(var fe=oe[X].primalMinor,Fe=oe[X].mirrorMinor,rt=l(P,oe[X].primalOffset),re=0;re<3;++re)this.lineTickEnable[X]&&(rt[re]+=J*fe[re]*Math.max(this.lineTickLength[re],0)/F[5*re]);var st=[0,0,0];if(st[X]=1,this.tickEnable[X]){this.tickAngle[X]===-3600?(this.tickAngle[X]=0,this.tickAlign[X]=\"auto\"):this.tickAlign[X]=-1,tt=1,it=[this.tickAlign[X],ot,tt],it[0]===\"auto\"?it[0]=u:it[0]=parseInt(\"\"+it[0]),lt=[0,0,0],_e(X,fe,Fe);for(var re=0;re<3;++re)rt[re]+=J*fe[re]*this.tickPad[re]/F[5*re];this._text.drawTicks(X,this.tickSize[X],this.tickAngle[X],rt,this.tickColor[X],st,lt,it)}if(this.labelEnable[X]){tt=0,lt=[0,0,0],this.labels[X].length>4&&(Ee(X),tt=1),it=[this.labelAlign[X],ot,tt],it[0]===\"auto\"?it[0]=u:it[0]=parseInt(\"\"+it[0]);for(var re=0;re<3;++re)rt[re]+=J*fe[re]*this.labelPad[re]/F[5*re];rt[X]+=.5*(I[0][X]+I[1][X]),this._text.drawLabel(X,this.labelSize[X],this.labelAngle[X],rt,this.labelColor[X],[0,0,0],lt,it)}}this._text.unbind()},w.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null};function L(z,F){var B=new _(z);return B.update(F),B}},5304:function(e,t,r){\"use strict\";e.exports=c;var o=r(2762),a=r(8116),i=r(1879).bg;function n(f,g,v,T){this.gl=f,this.buffer=g,this.vao=v,this.shader=T}var s=n.prototype;s.draw=function(f,g,v,T,l,_){for(var w=!1,S=0;S<3;++S)w=w||l[S];if(w){var E=this.gl;E.enable(E.POLYGON_OFFSET_FILL),E.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:f,view:g,projection:v,bounds:T,enable:l,colors:_},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),E.disable(E.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function c(f){for(var g=[],v=[],T=0,l=0;l<3;++l)for(var _=(l+1)%3,w=(l+2)%3,S=[0,0,0],E=[0,0,0],y=-1;y<=1;y+=2){v.push(T,T+2,T+1,T+1,T+2,T+3),S[l]=y,E[l]=y;for(var b=-1;b<=1;b+=2){S[_]=b;for(var p=-1;p<=1;p+=2)S[w]=p,g.push(S[0],S[1],S[2],E[0],E[1],E[2]),T+=1}var u=_;_=w,w=u}var m=o(f,new Float32Array(g)),h=o(f,new Uint16Array(v),f.ELEMENT_ARRAY_BUFFER),P=a(f,[{buffer:m,type:f.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:f.FLOAT,size:3,offset:12,stride:24}],h),L=i(f);return L.attributes.position.location=0,L.attributes.normal.location=1,new n(f,m,P,L)}},6429:function(e,t,r){\"use strict\";e.exports=y;var o=r(8828),a=r(6760),i=r(5202),n=r(3250),s=new Array(16),c=new Array(8),f=new Array(8),g=new Array(3),v=[0,0,0];(function(){for(var b=0;b<8;++b)c[b]=[1,1,1,1],f[b]=[1,1,1]})();function T(b,p,u){for(var m=0;m<4;++m){b[m]=u[12+m];for(var h=0;h<3;++h)b[m]+=p[h]*u[4*h+m]}}var l=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function _(b){for(var p=0;p<l.length;++p)if(b=i.positive(b,l[p]),b.length<3)return 0;for(var u=b[0],m=u[0]/u[3],h=u[1]/u[3],P=0,p=1;p+1<b.length;++p){var L=b[p],z=b[p+1],F=L[0]/L[3],B=L[1]/L[3],O=z[0]/z[3],I=z[1]/z[3],N=F-m,U=B-h,W=O-m,Q=I-h;P+=Math.abs(N*Q-U*W)}return P}var w=[1,1,1],S=[0,0,0],E={cubeEdges:w,axis:S};function y(b,p,u,m,h){a(s,p,b),a(s,u,s);for(var P=0,L=0;L<2;++L){g[2]=m[L][2];for(var z=0;z<2;++z){g[1]=m[z][1];for(var F=0;F<2;++F)g[0]=m[F][0],T(c[P],g,s),P+=1}}for(var B=-1,L=0;L<8;++L){for(var O=c[L][3],I=0;I<3;++I)f[L][I]=c[L][I]/O;h&&(f[L][2]*=-1),O<0&&(B<0||f[L][2]<f[B][2])&&(B=L)}if(B<0){B=0;for(var N=0;N<3;++N){for(var U=(N+2)%3,W=(N+1)%3,Q=-1,ue=-1,le=0;le<2;++le){var he=le<<N,G=he+(le<<U)+(1-le<<W),$=he+(1-le<<U)+(le<<W);n(f[he],f[G],f[$],v)<0||(le?Q=1:ue=1)}if(Q<0||ue<0){ue>Q&&(B|=1<<N);continue}for(var le=0;le<2;++le){var he=le<<N,G=he+(le<<U)+(1-le<<W),$=he+(1-le<<U)+(le<<W),J=_([c[he],c[G],c[$],c[he+(1<<U)+(1<<W)]]);le?Q=J:ue=J}if(ue>Q){B|=1<<N;continue}}}for(var X=7^B,oe=-1,L=0;L<8;++L)L===B||L===X||(oe<0||f[oe][1]>f[L][1])&&(oe=L);for(var ie=-1,L=0;L<3;++L){var j=oe^1<<L;if(!(j===B||j===X)){ie<0&&(ie=j);var W=f[j];W[0]<f[ie][0]&&(ie=j)}}for(var ee=-1,L=0;L<3;++L){var j=oe^1<<L;if(!(j===B||j===X||j===ie)){ee<0&&(ee=j);var W=f[j];W[0]>f[ee][0]&&(ee=j)}}var re=w;re[0]=re[1]=re[2]=0,re[o.log2(ie^oe)]=oe&ie,re[o.log2(oe^ee)]=oe&ee;var ce=ee^7;ce===B||ce===X?(ce=ie^7,re[o.log2(ee^ce)]=ce&ee):re[o.log2(ie^ce)]=ce&ie;for(var be=S,Ae=B,N=0;N<3;++N)Ae&1<<N?be[N]=-1:be[N]=1;return E}},501:function(e,t,r){\"use strict\";e.exports=w;var o=r(2762),a=r(8116),i=r(1879).n,n=[0,0,0],s=[0,0,0],c=[0,0,0],f=[0,0,0],g=[1,1];function v(S){return S[0]=S[1]=S[2]=0,S}function T(S,E){return S[0]=E[0],S[1]=E[1],S[2]=E[2],S}function l(S,E,y,b,p,u,m,h){this.gl=S,this.vertBuffer=E,this.vao=y,this.shader=b,this.tickCount=p,this.tickOffset=u,this.gridCount=m,this.gridOffset=h}var _=l.prototype;_.bind=function(S,E,y){this.shader.bind(),this.shader.uniforms.model=S,this.shader.uniforms.view=E,this.shader.uniforms.projection=y,g[0]=this.gl.drawingBufferWidth,g[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=g,this.vao.bind()},_.unbind=function(){this.vao.unbind()},_.drawAxisLine=function(S,E,y,b,p){var u=v(s);this.shader.uniforms.majorAxis=s,u[S]=E[1][S]-E[0][S],this.shader.uniforms.minorAxis=u;var m=T(f,y);m[S]+=E[0][S],this.shader.uniforms.offset=m,this.shader.uniforms.lineWidth=p,this.shader.uniforms.color=b;var h=v(c);h[(S+2)%3]=1,this.shader.uniforms.screenAxis=h,this.vao.draw(this.gl.TRIANGLES,6);var h=v(c);h[(S+1)%3]=1,this.shader.uniforms.screenAxis=h,this.vao.draw(this.gl.TRIANGLES,6)},_.drawAxisTicks=function(S,E,y,b,p){if(this.tickCount[S]){var u=v(n);u[S]=1,this.shader.uniforms.majorAxis=u,this.shader.uniforms.offset=E,this.shader.uniforms.minorAxis=y,this.shader.uniforms.color=b,this.shader.uniforms.lineWidth=p;var m=v(c);m[S]=1,this.shader.uniforms.screenAxis=m,this.vao.draw(this.gl.TRIANGLES,this.tickCount[S],this.tickOffset[S])}},_.drawGrid=function(S,E,y,b,p,u){if(this.gridCount[S]){var m=v(s);m[E]=y[1][E]-y[0][E],this.shader.uniforms.minorAxis=m;var h=T(f,b);h[E]+=y[0][E],this.shader.uniforms.offset=h;var P=v(n);P[S]=1,this.shader.uniforms.majorAxis=P;var L=v(c);L[S]=1,this.shader.uniforms.screenAxis=L,this.shader.uniforms.lineWidth=u,this.shader.uniforms.color=p,this.vao.draw(this.gl.TRIANGLES,this.gridCount[S],this.gridOffset[S])}},_.drawZero=function(S,E,y,b,p,u){var m=v(s);this.shader.uniforms.majorAxis=m,m[S]=y[1][S]-y[0][S],this.shader.uniforms.minorAxis=m;var h=T(f,b);h[S]+=y[0][S],this.shader.uniforms.offset=h;var P=v(c);P[E]=1,this.shader.uniforms.screenAxis=P,this.shader.uniforms.lineWidth=u,this.shader.uniforms.color=p,this.vao.draw(this.gl.TRIANGLES,6)},_.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()};function w(S,E,y){var b=[],p=[0,0,0],u=[0,0,0],m=[0,0,0],h=[0,0,0];b.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var P=0;P<3;++P){for(var F=b.length/3|0,L=0;L<y[P].length;++L){var z=+y[P][L].x;b.push(z,0,1,z,1,1,z,0,-1,z,0,-1,z,1,1,z,1,-1)}var O=b.length/3|0;p[P]=F,u[P]=O-F;for(var F=b.length/3|0,B=0;B<y[P].length;++B){var z=+y[P][B].x;b.push(z,0,1,z,1,1,z,0,-1,z,0,-1,z,1,1,z,1,-1)}var O=b.length/3|0;m[P]=F,h[P]=O-F}var I=o(S,new Float32Array(b)),N=a(S,[{buffer:I,type:S.FLOAT,size:3,stride:0,offset:0}]),U=i(S);return U.attributes.position.location=0,new l(S,I,N,U,u,p,h,m)}},1879:function(e,t,r){\"use strict\";var o=r(3236),a=r(9405),i=o([`precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n`]),n=o([`precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}`]);t.n=function(v){return a(v,i,n,null,[{name:\"position\",type:\"vec3\"}])};var s=o([`precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}\n`]),c=o([`precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}`]);t.Q=function(v){return a(v,s,c,null,[{name:\"position\",type:\"vec3\"}])};var f=o([`precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}\n`]),g=o([`precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}`]);t.bg=function(v){return a(v,f,g,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(e,t,r){\"use strict\";e.exports=_;var o=r(2762),a=r(8116),i=r(4359),n=r(1879).Q,s=window||process.global||{},c=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};var f=3;function g(w,S,E,y){this.gl=w,this.shader=S,this.buffer=E,this.vao=y,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var v=g.prototype,T=[0,0];v.bind=function(w,S,E,y){this.vao.bind(),this.shader.bind();var b=this.shader.uniforms;b.model=w,b.view=S,b.projection=E,b.pixelScale=y,T[0]=this.gl.drawingBufferWidth,T[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=T},v.unbind=function(){this.vao.unbind()},v.update=function(w,S,E,y,b){var p=[];function u(N,U,W,Q,ue,le){var he=[W.style,W.weight,W.variant,W.family].join(\"_\"),G=c[he];G||(G=c[he]={});var $=G[U];$||($=G[U]=l(U,{triangles:!0,font:W.family,fontStyle:W.style,fontWeight:W.weight,fontVariant:W.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:ue,styletags:le}));for(var J=(Q||12)/12,X=$.positions,oe=$.cells,ie=0,j=oe.length;ie<j;++ie)for(var ee=oe[ie],re=2;re>=0;--re){var ce=X[ee[re]];p.push(J*ce[0],-J*ce[1],N)}}for(var m=[0,0,0],h=[0,0,0],P=[0,0,0],L=[0,0,0],z=1.25,F={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},B=0;B<3;++B){P[B]=p.length/f|0,u(.5*(w[0][B]+w[1][B]),S[B],E[B],12,z,F),L[B]=(p.length/f|0)-P[B],m[B]=p.length/f|0;for(var O=0;O<y[B].length;++O)if(y[B][O].text){var I={family:y[B][O].font||b[B].family,style:b[B].fontStyle||b[B].style,weight:b[B].fontWeight||b[B].weight,variant:b[B].fontVariant||b[B].variant};u(y[B][O].x,y[B][O].text,I,y[B][O].fontSize||12,z,F)}h[B]=(p.length/f|0)-m[B]}this.buffer.update(p),this.tickOffset=m,this.tickCount=h,this.labelOffset=P,this.labelCount=L},v.drawTicks=function(w,S,E,y,b,p,u,m){this.tickCount[w]&&(this.shader.uniforms.axis=p,this.shader.uniforms.color=b,this.shader.uniforms.angle=E,this.shader.uniforms.scale=S,this.shader.uniforms.offset=y,this.shader.uniforms.alignDir=u,this.shader.uniforms.alignOpt=m,this.vao.draw(this.gl.TRIANGLES,this.tickCount[w],this.tickOffset[w]))},v.drawLabel=function(w,S,E,y,b,p,u,m){this.labelCount[w]&&(this.shader.uniforms.axis=p,this.shader.uniforms.color=b,this.shader.uniforms.angle=E,this.shader.uniforms.scale=S,this.shader.uniforms.offset=y,this.shader.uniforms.alignDir=u,this.shader.uniforms.alignOpt=m,this.vao.draw(this.gl.TRIANGLES,this.labelCount[w],this.labelOffset[w]))},v.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()};function l(w,S){try{return i(w,S)}catch(E){return console.warn('error vectorizing text:\"'+w+'\" error:',E),{cells:[],positions:[]}}}function _(w,S,E,y,b,p){var u=o(w),m=a(w,[{buffer:u,size:3}]),h=n(w);h.attributes.position.location=0;var P=new g(w,h,u,m);return P.update(S,E,y,b,p),P}},6444:function(e,t){\"use strict\";t.create=o,t.equal=a;function r(i,n){var s=i+\"\",c=s.indexOf(\".\"),f=0;c>=0&&(f=s.length-c-1);var g=Math.pow(10,f),v=Math.round(i*n*g),T=v+\"\";if(T.indexOf(\"e\")>=0)return T;var l=v/g,_=v%g;v<0?(l=-Math.ceil(l)|0,_=-_|0):(l=Math.floor(l)|0,_=_|0);var w=\"\"+l;if(v<0&&(w=\"-\"+w),f){for(var S=\"\"+_;S.length<f;)S=\"0\"+S;return w+\".\"+S}else return w}function o(i,n){for(var s=[],c=0;c<3;++c){for(var f=[],g=.5*(i[0][c]+i[1][c]),v=0;v*n[c]<=i[1][c];++v)f.push({x:v*n[c],text:r(n[c],v)});for(var v=-1;v*n[c]>=i[0][c];--v)f.push({x:v*n[c],text:r(n[c],v)});s.push(f)}return s}function a(i,n){for(var s=0;s<3;++s){if(i[s].length!==n[s].length)return!1;for(var c=0;c<i[s].length;++c){var f=i[s][c],g=n[s][c];if(f.x!==g.x||f.text!==g.text||f.font!==g.font||f.fontColor!==g.fontColor||f.fontSize!==g.fontSize||f.dx!==g.dx||f.dy!==g.dy)return!1}}return!0}},5445:function(e,t,r){\"use strict\";e.exports=E;var o=r(5033),a=r(5202),i=r(6429),n=r(6760),s=r(5665),c=r(5352),f=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),g=new Float32Array(16);function v(y,b,p){this.lo=y,this.hi=b,this.pixelsPerDataUnit=p}var T=[0,0,0,1],l=[0,0,0,1];function _(y,b,p,u,m){for(var h=0;h<3;++h){for(var P=T,L=l,z=0;z<3;++z)L[z]=P[z]=p[z];L[3]=P[3]=1,L[h]+=1,c(L,L,b),L[3]<0&&(y[h]=1/0),P[h]-=1,c(P,P,b),P[3]<0&&(y[h]=1/0);var F=(P[0]/P[3]-L[0]/L[3])*u,B=(P[1]/P[3]-L[1]/L[3])*m;y[h]=.25*Math.sqrt(F*F+B*B)}return y}var w=[new v(1/0,-1/0,1/0),new v(1/0,-1/0,1/0),new v(1/0,-1/0,1/0)],S=[0,0,0];function E(y,b,p,u,B){var h=b.model||f,P=b.view||f,L=b.projection||f,z=b._ortho||!1,F=y.bounds,B=B||i(h,P,L,F,z),O=B.axis;n(g,P,h),n(g,L,g);for(var I=w,N=0;N<3;++N)I[N].lo=1/0,I[N].hi=-1/0,I[N].pixelsPerDataUnit=1/0;var U=o(s(g,g));s(g,g);for(var W=0;W<3;++W){var Q=(W+1)%3,ue=(W+2)%3,le=S;e:for(var N=0;N<2;++N){var he=[];if(O[W]<0!=!!N){le[W]=F[N][W];for(var G=0;G<2;++G){le[Q]=F[G^N][Q];for(var $=0;$<2;++$)le[ue]=F[$^G^N][ue],he.push(le.slice())}for(var J=z?5:4,G=J;G===J;++G){if(he.length===0)continue e;he=a.positive(he,U[G])}for(var G=0;G<he.length;++G)for(var ue=he[G],X=_(S,g,ue,p,u),$=0;$<3;++$)I[$].lo=Math.min(I[$].lo,ue[$]),I[$].hi=Math.max(I[$].hi,ue[$]),$!==W&&(I[$].pixelsPerDataUnit=Math.min(I[$].pixelsPerDataUnit,Math.abs(X[$])))}}}return I}},2762:function(e,t,r){\"use strict\";var o=r(1888),a=r(5298),i=r(9618),n=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(l,_,w,S,E){this.gl=l,this.type=_,this.handle=w,this.length=S,this.usage=E}var c=s.prototype;c.bind=function(){this.gl.bindBuffer(this.type,this.handle)},c.unbind=function(){this.gl.bindBuffer(this.type,null)},c.dispose=function(){this.gl.deleteBuffer(this.handle)};function f(l,_,w,S,E,y){var b=E.length*E.BYTES_PER_ELEMENT;if(y<0)return l.bufferData(_,E,S),b;if(b+y>w)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return l.bufferSubData(_,y,E),w}function g(l,_){for(var w=o.malloc(l.length,_),S=l.length,E=0;E<S;++E)w[E]=l[E];return w}function v(l,_){for(var w=1,S=_.length-1;S>=0;--S){if(_[S]!==w)return!1;w*=l[S]}return!0}c.update=function(l,_){if(typeof _!=\"number\"&&(_=-1),this.bind(),typeof l==\"object\"&&typeof l.shape<\"u\"){var w=l.dtype;if(n.indexOf(w)<0&&(w=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){var S=gl.getExtension(\"OES_element_index_uint\");S&&w!==\"uint16\"?w=\"uint32\":w=\"uint16\"}if(w===l.dtype&&v(l.shape,l.stride))l.offset===0&&l.data.length===l.shape[0]?this.length=f(this.gl,this.type,this.length,this.usage,l.data,_):this.length=f(this.gl,this.type,this.length,this.usage,l.data.subarray(l.offset,l.shape[0]),_);else{var E=o.malloc(l.size,w),y=i(E,l.shape);a.assign(y,l),_<0?this.length=f(this.gl,this.type,this.length,this.usage,E,_):this.length=f(this.gl,this.type,this.length,this.usage,E.subarray(0,l.size),_),o.free(E)}}else if(Array.isArray(l)){var b;this.type===this.gl.ELEMENT_ARRAY_BUFFER?b=g(l,\"uint16\"):b=g(l,\"float32\"),_<0?this.length=f(this.gl,this.type,this.length,this.usage,b,_):this.length=f(this.gl,this.type,this.length,this.usage,b.subarray(0,l.length),_),o.free(b)}else if(typeof l==\"object\"&&typeof l.length==\"number\")this.length=f(this.gl,this.type,this.length,this.usage,l,_);else if(typeof l==\"number\"||l===void 0){if(_>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");l=l|0,l<=0&&(l=1),this.gl.bufferData(this.type,l|0,this.usage),this.length=l}else throw new Error(\"gl-buffer: Invalid data type\")};function T(l,_,w,S){if(w=w||l.ARRAY_BUFFER,S=S||l.DYNAMIC_DRAW,w!==l.ARRAY_BUFFER&&w!==l.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(S!==l.DYNAMIC_DRAW&&S!==l.STATIC_DRAW&&S!==l.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var E=l.createBuffer(),y=new s(l,w,E,0,S);return y.update(_),y}e.exports=T},6405:function(e,t,r){\"use strict\";var o=r(2931);e.exports=function(i,n){var s=i.positions,c=i.vectors,f={positions:[],vertexIntensity:[],vertexIntensityBounds:i.vertexIntensityBounds,vectors:[],cells:[],coneOffset:i.coneOffset,colormap:i.colormap};if(i.positions.length===0)return n&&(n[0]=[0,0,0],n[1]=[0,0,0]),f;for(var g=0,v=1/0,T=-1/0,l=1/0,_=-1/0,w=1/0,S=-1/0,E=null,y=null,b=[],p=1/0,u=!1,m=i.coneSizemode===\"raw\",h=0;h<s.length;h++){var P=s[h];v=Math.min(P[0],v),T=Math.max(P[0],T),l=Math.min(P[1],l),_=Math.max(P[1],_),w=Math.min(P[2],w),S=Math.max(P[2],S);var L=c[h];if(o.length(L)>g&&(g=o.length(L)),h&&!m){var z=2*o.distance(E,P)/(o.length(y)+o.length(L));z?(p=Math.min(p,z),u=!1):u=!0}u||(E=P,y=L),b.push(L)}var F=[v,l,w],B=[T,_,S];n&&(n[0]=F,n[1]=B),g===0&&(g=1);var O=1/g;isFinite(p)||(p=1),f.vectorScale=p;var I=i.coneSize||(m?1:.5);i.absoluteConeSize&&(I=i.absoluteConeSize*O),f.coneScale=I;for(var h=0,N=0;h<s.length;h++)for(var P=s[h],U=P[0],W=P[1],Q=P[2],ue=b[h],le=o.length(ue)*O,he=0,G=8;he<G;he++){f.positions.push([U,W,Q,N++]),f.positions.push([U,W,Q,N++]),f.positions.push([U,W,Q,N++]),f.positions.push([U,W,Q,N++]),f.positions.push([U,W,Q,N++]),f.positions.push([U,W,Q,N++]),f.vectors.push(ue),f.vectors.push(ue),f.vectors.push(ue),f.vectors.push(ue),f.vectors.push(ue),f.vectors.push(ue),f.vertexIntensity.push(le,le,le),f.vertexIntensity.push(le,le,le);var $=f.positions.length;f.cells.push([$-6,$-5,$-4],[$-3,$-2,$-1])}return f};var a=r(614);e.exports.createMesh=r(9060),e.exports.createConeMesh=function(i,n){return e.exports.createMesh(i,n,{shaders:a,traceType:\"cone\"})}},9060:function(e,t,r){\"use strict\";var o=r(9405),a=r(2762),i=r(8116),n=r(7766),s=r(6760),c=r(7608),f=r(9618),g=r(6729),v=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(b,p,u,m,h,P,L,z,F,B,O){this.gl=b,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=p,this.dirty=!0,this.triShader=u,this.pickShader=m,this.trianglePositions=h,this.triangleVectors=P,this.triangleColors=z,this.triangleUVs=F,this.triangleIds=L,this.triangleVAO=B,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=O,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=v,this._view=v,this._projection=v,this._resolution=[1,1]}var l=T.prototype;l.isOpaque=function(){return this.opacity>=1},l.isTransparent=function(){return this.opacity<1},l.pickSlots=1,l.setPickBase=function(b){this.pickId=b};function _(b){for(var p=g({colormap:b,nshades:256,format:\"rgba\"}),u=new Uint8Array(256*4),m=0;m<256;++m){for(var h=p[m],P=0;P<3;++P)u[4*m+P]=h[P];u[4*m+3]=h[3]*255}return f(u,[256,256,4],[4,0,1])}function w(b){for(var p=b.length,u=new Array(p),m=0;m<p;++m)u[m]=b[m][2];return u}l.update=function(b){b=b||{};var p=this.gl;this.dirty=!0,\"lightPosition\"in b&&(this.lightPosition=b.lightPosition),\"opacity\"in b&&(this.opacity=b.opacity),\"ambient\"in b&&(this.ambientLight=b.ambient),\"diffuse\"in b&&(this.diffuseLight=b.diffuse),\"specular\"in b&&(this.specularLight=b.specular),\"roughness\"in b&&(this.roughness=b.roughness),\"fresnel\"in b&&(this.fresnel=b.fresnel),b.tubeScale!==void 0&&(this.tubeScale=b.tubeScale),b.vectorScale!==void 0&&(this.vectorScale=b.vectorScale),b.coneScale!==void 0&&(this.coneScale=b.coneScale),b.coneOffset!==void 0&&(this.coneOffset=b.coneOffset),b.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=p.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=p.LINEAR,this.texture.setPixels(_(b.colormap)),this.texture.generateMipmap());var u=b.cells,m=b.positions,h=b.vectors;if(!(!m||!u||!h)){var P=[],L=[],z=[],F=[],B=[];this.cells=u,this.positions=m,this.vectors=h;var O=b.meshColor||[1,1,1,1],I=b.vertexIntensity,N=1/0,U=-1/0;if(I)if(b.vertexIntensityBounds)N=+b.vertexIntensityBounds[0],U=+b.vertexIntensityBounds[1];else for(var W=0;W<I.length;++W){var Q=I[W];N=Math.min(N,Q),U=Math.max(U,Q)}else for(var W=0;W<m.length;++W){var Q=m[W][2];N=Math.min(N,Q),U=Math.max(U,Q)}I?this.intensity=I:this.intensity=w(m),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var W=0;W<m.length;++W)for(var ue=m[W],le=0;le<3;++le)isNaN(ue[le])||!isFinite(ue[le])||(this.bounds[0][le]=Math.min(this.bounds[0][le],ue[le]),this.bounds[1][le]=Math.max(this.bounds[1][le],ue[le]));var he=0;e:for(var W=0;W<u.length;++W){var G=u[W];switch(G.length){case 3:for(var le=0;le<3;++le)for(var $=G[le],ue=m[$],J=0;J<3;++J)if(isNaN(ue[J])||!isFinite(ue[J]))continue e;for(var le=0;le<3;++le){var $=G[2-le],ue=m[$];P.push(ue[0],ue[1],ue[2],ue[3]);var X=h[$];L.push(X[0],X[1],X[2],X[3]||0);var oe=O;oe.length===3?z.push(oe[0],oe[1],oe[2],1):z.push(oe[0],oe[1],oe[2],oe[3]);var ie;I?ie=[(I[$]-N)/(U-N),0]:ie=[(ue[2]-N)/(U-N),0],F.push(ie[0],ie[1]),B.push(W)}he+=1;break;default:break}}this.triangleCount=he,this.trianglePositions.update(P),this.triangleVectors.update(L),this.triangleColors.update(z),this.triangleUVs.update(F),this.triangleIds.update(new Uint32Array(B))}},l.drawTransparent=l.draw=function(b){b=b||{};for(var p=this.gl,u=b.model||v,m=b.view||v,h=b.projection||v,P=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],L=0;L<3;++L)P[0][L]=Math.max(P[0][L],this.clipBounds[0][L]),P[1][L]=Math.min(P[1][L],this.clipBounds[1][L]);var z={model:u,view:m,projection:h,inverseModel:v.slice(),clipBounds:P,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};z.inverseModel=c(z.inverseModel,z.model),p.disable(p.CULL_FACE),this.texture.bind(0);var F=new Array(16);s(F,z.view,z.model),s(F,z.projection,F),c(F,F);for(var L=0;L<3;++L)z.eyePosition[L]=F[12+L]/F[15];for(var B=F[15],L=0;L<3;++L)B+=this.lightPosition[L]*F[4*L+3];for(var L=0;L<3;++L){for(var O=F[12+L],I=0;I<3;++I)O+=F[4*I+L]*this.lightPosition[I];z.lightPosition[L]=O/B}if(this.triangleCount>0){var N=this.triShader;N.bind(),N.uniforms=z,this.triangleVAO.bind(),p.drawArrays(p.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}},l.drawPick=function(b){b=b||{};for(var p=this.gl,u=b.model||v,m=b.view||v,h=b.projection||v,P=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],L=0;L<3;++L)P[0][L]=Math.max(P[0][L],this.clipBounds[0][L]),P[1][L]=Math.min(P[1][L],this.clipBounds[1][L]);this._model=[].slice.call(u),this._view=[].slice.call(m),this._projection=[].slice.call(h),this._resolution=[p.drawingBufferWidth,p.drawingBufferHeight];var z={model:u,view:m,projection:h,clipBounds:P,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},F=this.pickShader;F.bind(),F.uniforms=z,this.triangleCount>0&&(this.triangleVAO.bind(),p.drawArrays(p.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind())},l.pick=function(b){if(!b||b.id!==this.pickId)return null;var p=b.value[0]+256*b.value[1]+65536*b.value[2],u=this.cells[p],m=this.positions[u[1]].slice(0,3),h={position:m,dataCoordinate:m,index:Math.floor(u[1]/48)};return this.traceType===\"cone\"?h.index=Math.floor(u[1]/48):this.traceType===\"streamtube\"&&(h.intensity=this.intensity[u[1]],h.velocity=this.vectors[u[1]].slice(0,3),h.divergence=this.vectors[u[1]][3],h.index=p),h},l.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()};function S(b,p){var u=o(b,p.meshShader.vertex,p.meshShader.fragment,null,p.meshShader.attributes);return u.attributes.position.location=0,u.attributes.color.location=2,u.attributes.uv.location=3,u.attributes.vector.location=4,u}function E(b,p){var u=o(b,p.pickShader.vertex,p.pickShader.fragment,null,p.pickShader.attributes);return u.attributes.position.location=0,u.attributes.id.location=1,u.attributes.vector.location=4,u}function y(b,p,u){var m=u.shaders;arguments.length===1&&(p=b,b=p.gl);var h=S(b,m),P=E(b,m),L=n(b,f(new Uint8Array([255,255,255,255]),[1,1,4]));L.generateMipmap(),L.minFilter=b.LINEAR_MIPMAP_LINEAR,L.magFilter=b.LINEAR;var z=a(b),F=a(b),B=a(b),O=a(b),I=a(b),N=i(b,[{buffer:z,type:b.FLOAT,size:4},{buffer:I,type:b.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:B,type:b.FLOAT,size:4},{buffer:O,type:b.FLOAT,size:2},{buffer:F,type:b.FLOAT,size:4}]),U=new T(b,L,h,P,z,F,I,B,O,N,u.traceType||\"cone\");return U.update(p),U}e.exports=y},614:function(e,t,r){var o=r(3236),a=o([`precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n`]),i=o([`#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * 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vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * (view * conePosition);\n  f_id        = id;\n  f_position  = position.xyz;\n}\n`]),s=o([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, 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o=r(737);e.exports=function(i){return o[i]}},9165:function(e,t,r){\"use strict\";e.exports=T;var o=r(2762),a=r(8116),i=r(3436),n=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(l,_,w,S){this.gl=l,this.shader=S,this.buffer=_,this.vao=w,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var c=s.prototype;c.isOpaque=function(){return!this.hasAlpha},c.isTransparent=function(){return this.hasAlpha},c.drawTransparent=c.draw=function(l){var _=this.gl,w=this.shader.uniforms;this.shader.bind();var S=w.view=l.view||n,E=w.projection=l.projection||n;w.model=l.model||n,w.clipBounds=this.clipBounds,w.opacity=this.opacity;var y=S[12],b=S[13],p=S[14],u=S[15],m=l._ortho||!1,h=m?2:1,P=h*this.pixelRatio*(E[3]*y+E[7]*b+E[11]*p+E[15]*u)/_.drawingBufferHeight;this.vao.bind();for(var L=0;L<3;++L)_.lineWidth(this.lineWidth[L]*this.pixelRatio),w.capSize=this.capSize[L]*P,this.lineCount[L]&&_.drawArrays(_.LINES,this.lineOffset[L],this.lineCount[L]);this.vao.unbind()};function f(l,_){for(var w=0;w<3;++w)l[0][w]=Math.min(l[0][w],_[w]),l[1][w]=Math.max(l[1][w],_[w])}var g=function(){for(var l=new Array(3),_=0;_<3;++_){for(var w=[],S=1;S<=2;++S)for(var E=-1;E<=1;E+=2){var y=(S+_)%3,b=[0,0,0];b[y]=E,w.push(b)}l[_]=w}return l}();function v(l,_,w,S){for(var E=g[S],y=0;y<E.length;++y){var b=E[y];l.push(_[0],_[1],_[2],w[0],w[1],w[2],w[3],b[0],b[1],b[2])}return E.length}c.update=function(l){l=l||{},\"lineWidth\"in l&&(this.lineWidth=l.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in l&&(this.capSize=l.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in l&&(this.opacity=+l.opacity,this.opacity<1&&(this.hasAlpha=!0));var _=l.color||[[0,0,0],[0,0,0],[0,0,0]],w=l.position,S=l.error;if(Array.isArray(_[0])||(_=[_,_,_]),w&&S){var E=[],y=w.length,b=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var p=0;p<3;++p){this.lineOffset[p]=b;e:for(var u=0;u<y;++u){for(var m=w[u],h=0;h<3;++h)if(isNaN(m[h])||!isFinite(m[h]))continue e;var P=S[u],L=_[p];if(Array.isArray(L[0])&&(L=_[u]),L.length===3?L=[L[0],L[1],L[2],1]:L.length===4&&(L=[L[0],L[1],L[2],L[3]],!this.hasAlpha&&L[3]<1&&(this.hasAlpha=!0)),!(isNaN(P[0][p])||isNaN(P[1][p]))){if(P[0][p]<0){var z=m.slice();z[p]+=P[0][p],E.push(m[0],m[1],m[2],L[0],L[1],L[2],L[3],0,0,0,z[0],z[1],z[2],L[0],L[1],L[2],L[3],0,0,0),f(this.bounds,z),b+=2+v(E,z,L,p)}if(P[1][p]>0){var z=m.slice();z[p]+=P[1][p],E.push(m[0],m[1],m[2],L[0],L[1],L[2],L[3],0,0,0,z[0],z[1],z[2],L[0],L[1],L[2],L[3],0,0,0),f(this.bounds,z),b+=2+v(E,z,L,p)}}}this.lineCount[p]=b-this.lineOffset[p]}this.buffer.update(E)}},c.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()};function T(l){var _=l.gl,w=o(_),S=a(_,[{buffer:w,type:_.FLOAT,size:3,offset:0,stride:40},{buffer:w,type:_.FLOAT,size:4,offset:12,stride:40},{buffer:w,type:_.FLOAT,size:3,offset:28,stride:40}]),E=i(_);E.attributes.position.location=0,E.attributes.color.location=1,E.attributes.offset.location=2;var y=new s(_,w,S,E);return y.update(l),y}},3436:function(e,t,r){\"use strict\";var o=r(3236),a=r(9405),i=o([`precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * (view * worldPosition);\n  fragColor           = color;\n  fragPosition        = position;\n}`]),n=o([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}`]);e.exports=function(s){return a(s,i,n,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(e,t,r){\"use strict\";var o=r(7766);e.exports=b;var a=null,i,n,s,c;function f(p){var u=p.getParameter(p.FRAMEBUFFER_BINDING),m=p.getParameter(p.RENDERBUFFER_BINDING),h=p.getParameter(p.TEXTURE_BINDING_2D);return[u,m,h]}function g(p,u){p.bindFramebuffer(p.FRAMEBUFFER,u[0]),p.bindRenderbuffer(p.RENDERBUFFER,u[1]),p.bindTexture(p.TEXTURE_2D,u[2])}function v(p,u){var m=p.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL);a=new Array(m+1);for(var h=0;h<=m;++h){for(var P=new Array(m),L=0;L<h;++L)P[L]=p.COLOR_ATTACHMENT0+L;for(var L=h;L<m;++L)P[L]=p.NONE;a[h]=P}}function T(p){switch(p){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case n:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case c:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function l(p,u,m,h,P,L){if(!h)return null;var z=o(p,u,m,P,h);return z.magFilter=p.NEAREST,z.minFilter=p.NEAREST,z.mipSamples=1,z.bind(),p.framebufferTexture2D(p.FRAMEBUFFER,L,p.TEXTURE_2D,z.handle,0),z}function _(p,u,m,h,P){var L=p.createRenderbuffer();return p.bindRenderbuffer(p.RENDERBUFFER,L),p.renderbufferStorage(p.RENDERBUFFER,h,u,m),p.framebufferRenderbuffer(p.FRAMEBUFFER,P,p.RENDERBUFFER,L),L}function w(p){var u=f(p.gl),m=p.gl,h=p.handle=m.createFramebuffer(),P=p._shape[0],L=p._shape[1],z=p.color.length,F=p._ext,B=p._useStencil,O=p._useDepth,I=p._colorType;m.bindFramebuffer(m.FRAMEBUFFER,h);for(var N=0;N<z;++N)p.color[N]=l(m,P,L,I,m.RGBA,m.COLOR_ATTACHMENT0+N);z===0?(p._color_rb=_(m,P,L,m.RGBA4,m.COLOR_ATTACHMENT0),F&&F.drawBuffersWEBGL(a[0])):z>1&&F.drawBuffersWEBGL(a[z]);var U=m.getExtension(\"WEBGL_depth_texture\");U?B?p.depth=l(m,P,L,U.UNSIGNED_INT_24_8_WEBGL,m.DEPTH_STENCIL,m.DEPTH_STENCIL_ATTACHMENT):O&&(p.depth=l(m,P,L,m.UNSIGNED_SHORT,m.DEPTH_COMPONENT,m.DEPTH_ATTACHMENT)):O&&B?p._depth_rb=_(m,P,L,m.DEPTH_STENCIL,m.DEPTH_STENCIL_ATTACHMENT):O?p._depth_rb=_(m,P,L,m.DEPTH_COMPONENT16,m.DEPTH_ATTACHMENT):B&&(p._depth_rb=_(m,P,L,m.STENCIL_INDEX,m.STENCIL_ATTACHMENT));var W=m.checkFramebufferStatus(m.FRAMEBUFFER);if(W!==m.FRAMEBUFFER_COMPLETE){p._destroyed=!0,m.bindFramebuffer(m.FRAMEBUFFER,null),m.deleteFramebuffer(p.handle),p.handle=null,p.depth&&(p.depth.dispose(),p.depth=null),p._depth_rb&&(m.deleteRenderbuffer(p._depth_rb),p._depth_rb=null);for(var N=0;N<p.color.length;++N)p.color[N].dispose(),p.color[N]=null;p._color_rb&&(m.deleteRenderbuffer(p._color_rb),p._color_rb=null),g(m,u),T(W)}g(m,u)}function S(p,u,m,h,P,L,z,F){this.gl=p,this._shape=[u|0,m|0],this._destroyed=!1,this._ext=F,this.color=new Array(P);for(var B=0;B<P;++B)this.color[B]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=h,this._useDepth=L,this._useStencil=z;var O=this,I=[u|0,m|0];Object.defineProperties(I,{0:{get:function(){return O._shape[0]},set:function(N){return O.width=N}},1:{get:function(){return O._shape[1]},set:function(N){return O.height=N}}}),this._shapeVector=I,w(this)}var E=S.prototype;function y(p,u,m){if(p._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(!(p._shape[0]===u&&p._shape[1]===m)){var h=p.gl,P=h.getParameter(h.MAX_RENDERBUFFER_SIZE);if(u<0||u>P||m<0||m>P)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");p._shape[0]=u,p._shape[1]=m;for(var L=f(h),z=0;z<p.color.length;++z)p.color[z].shape=p._shape;p._color_rb&&(h.bindRenderbuffer(h.RENDERBUFFER,p._color_rb),h.renderbufferStorage(h.RENDERBUFFER,h.RGBA4,p._shape[0],p._shape[1])),p.depth&&(p.depth.shape=p._shape),p._depth_rb&&(h.bindRenderbuffer(h.RENDERBUFFER,p._depth_rb),p._useDepth&&p._useStencil?h.renderbufferStorage(h.RENDERBUFFER,h.DEPTH_STENCIL,p._shape[0],p._shape[1]):p._useDepth?h.renderbufferStorage(h.RENDERBUFFER,h.DEPTH_COMPONENT16,p._shape[0],p._shape[1]):p._useStencil&&h.renderbufferStorage(h.RENDERBUFFER,h.STENCIL_INDEX,p._shape[0],p._shape[1])),h.bindFramebuffer(h.FRAMEBUFFER,p.handle);var F=h.checkFramebufferStatus(h.FRAMEBUFFER);F!==h.FRAMEBUFFER_COMPLETE&&(p.dispose(),g(h,L),T(F)),g(h,L)}}Object.defineProperties(E,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(p){if(Array.isArray(p)||(p=[p|0,p|0]),p.length!==2)throw new Error(\"gl-fbo: Shape vector must be length 2\");var u=p[0]|0,m=p[1]|0;return y(this,u,m),[u,m]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(p){return p=p|0,y(this,p,this._shape[1]),p},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(p){return p=p|0,y(this,this._shape[0],p),p},enumerable:!1}}),E.bind=function(){if(!this._destroyed){var p=this.gl;p.bindFramebuffer(p.FRAMEBUFFER,this.handle),p.viewport(0,0,this._shape[0],this._shape[1])}},E.dispose=function(){if(!this._destroyed){this._destroyed=!0;var p=this.gl;p.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(p.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var u=0;u<this.color.length;++u)this.color[u].dispose(),this.color[u]=null;this._color_rb&&(p.deleteRenderbuffer(this._color_rb),this._color_rb=null)}};function b(p,u,m,h){i||(i=p.FRAMEBUFFER_UNSUPPORTED,n=p.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,s=p.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,c=p.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var P=p.getExtension(\"WEBGL_draw_buffers\");if(!a&&P&&v(p,P),Array.isArray(u)&&(h=m,m=u[1]|0,u=u[0]|0),typeof u!=\"number\")throw new Error(\"gl-fbo: Missing shape parameter\");var L=p.getParameter(p.MAX_RENDERBUFFER_SIZE);if(u<0||u>L||m<0||m>L)throw new Error(\"gl-fbo: Parameters are too large for FBO\");h=h||{};var z=1;if(\"color\"in h){if(z=Math.max(h.color|0,0),z<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(z>1)if(P){if(z>p.getParameter(P.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+z+\" draw buffers\")}else throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\")}var F=p.UNSIGNED_BYTE,B=p.getExtension(\"OES_texture_float\");if(h.float&&z>0){if(!B)throw new Error(\"gl-fbo: Context does not support floating point textures\");F=p.FLOAT}else h.preferFloat&&z>0&&B&&(F=p.FLOAT);var O=!0;\"depth\"in h&&(O=!!h.depth);var I=!1;return\"stencil\"in h&&(I=!!h.stencil),new S(p,u,m,F,z,O,I,P)}},2992:function(e,t,r){var o=r(3387).sprintf,a=r(5171),i=r(1848),n=r(1085);e.exports=s;function s(c,f,g){\"use strict\";var v=i(f)||\"of unknown name (see npm glsl-shader-name)\",T=\"unknown type\";g!==void 0&&(T=g===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var l=o(`Error compiling %s shader %s:\n`,T,v),_=o(\"%s%s\",l,c),w=c.split(`\n`),S={},E=0;E<w.length;E++){var y=w[E];if(!(y===\"\"||y===\"\\0\")){var b=parseInt(y.split(\":\")[2]);if(isNaN(b))throw new Error(o(\"Could not parse error: %s\",y));S[b]=y}}for(var p=n(f).split(`\n`),E=0;E<p.length;E++)if(!(!S[E+3]&&!S[E+2]&&!S[E+1])){var u=p[E];if(l+=u+`\n`,S[E+1]){var m=S[E+1];m=m.substr(m.split(\":\",3).join(\":\").length+1).trim(),l+=o(`^^^ %s\n\n`,m)}}return{long:l.trim(),short:_.trim()}}},7319:function(e,t,r){var o=r(3236),a=r(9405),i=o([`precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * (view * (model * vec4(p, 1.0)));\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n`]),n=o([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n`]),s=o([`precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}`]),c=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];t.createShader=function(f){return a(f,i,n,null,c)},t.createPickShader=function(f){return a(f,i,s,null,c)}},5714:function(e,t,r){\"use strict\";e.exports=p;var o=r(2762),a=r(8116),i=r(7766),n=new Uint8Array(4),s=new Float32Array(n.buffer);function c(u,m,h,P){return n[0]=P,n[1]=h,n[2]=m,n[3]=u,s[0]}var f=r(2478),g=r(9618),v=r(7319),T=v.createShader,l=v.createPickShader,_=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function w(u,m){for(var h=0,P=0;P<3;++P){var L=u[P]-m[P];h+=L*L}return Math.sqrt(h)}function S(u){for(var m=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],h=0;h<3;++h)m[0][h]=Math.max(u[0][h],m[0][h]),m[1][h]=Math.min(u[1][h],m[1][h]);return m}function E(u,m,h,P){this.arcLength=u,this.position=m,this.index=h,this.dataCoordinate=P}function y(u,m,h,P,L,z){this.gl=u,this.shader=m,this.pickShader=h,this.buffer=P,this.vao=L,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=z,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var b=y.prototype;b.isTransparent=function(){return this.hasAlpha},b.isOpaque=function(){return!this.hasAlpha},b.pickSlots=1,b.setPickBase=function(u){this.pickId=u},b.drawTransparent=b.draw=function(u){if(this.vertexCount){var m=this.gl,h=this.shader,P=this.vao;h.bind(),h.uniforms={model:u.model||_,view:u.view||_,projection:u.projection||_,clipBounds:S(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[m.drawingBufferWidth,m.drawingBufferHeight],pixelRatio:this.pixelRatio},P.bind(),P.draw(m.TRIANGLE_STRIP,this.vertexCount),P.unbind()}},b.drawPick=function(u){if(this.vertexCount){var m=this.gl,h=this.pickShader,P=this.vao;h.bind(),h.uniforms={model:u.model||_,view:u.view||_,projection:u.projection||_,pickId:this.pickId,clipBounds:S(this.clipBounds),screenShape:[m.drawingBufferWidth,m.drawingBufferHeight],pixelRatio:this.pixelRatio},P.bind(),P.draw(m.TRIANGLE_STRIP,this.vertexCount),P.unbind()}},b.update=function(u){var m,h;this.dirty=!0;var P=!!u.connectGaps;\"dashScale\"in u&&(this.dashScale=u.dashScale),this.hasAlpha=!1,\"opacity\"in u&&(this.opacity=+u.opacity,this.opacity<1&&(this.hasAlpha=!0));var L=[],z=[],F=[],B=0,O=0,I=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],N=u.position||u.positions;if(N){var U=u.color||u.colors||[0,0,0,1],W=u.lineWidth||1,Q=!1;e:for(m=1;m<N.length;++m){var ue=N[m-1],le=N[m];for(z.push(B),F.push(ue.slice()),h=0;h<3;++h){if(isNaN(ue[h])||isNaN(le[h])||!isFinite(ue[h])||!isFinite(le[h])){if(!P&&L.length>0){for(var he=0;he<24;++he)L.push(L[L.length-12]);O+=2,Q=!0}continue e}I[0][h]=Math.min(I[0][h],ue[h],le[h]),I[1][h]=Math.max(I[1][h],ue[h],le[h])}var G,$;Array.isArray(U[0])?(G=U.length>m-1?U[m-1]:U.length>0?U[U.length-1]:[0,0,0,1],$=U.length>m?U[m]:U.length>0?U[U.length-1]:[0,0,0,1]):G=$=U,G.length===3&&(G=[G[0],G[1],G[2],1]),$.length===3&&($=[$[0],$[1],$[2],1]),!this.hasAlpha&&G[3]<1&&(this.hasAlpha=!0);var J;Array.isArray(W)?J=W.length>m-1?W[m-1]:W.length>0?W[W.length-1]:[0,0,0,1]:J=W;var X=B;if(B+=w(ue,le),Q){for(h=0;h<2;++h)L.push(ue[0],ue[1],ue[2],le[0],le[1],le[2],X,J,G[0],G[1],G[2],G[3]);O+=2,Q=!1}L.push(ue[0],ue[1],ue[2],le[0],le[1],le[2],X,J,G[0],G[1],G[2],G[3],ue[0],ue[1],ue[2],le[0],le[1],le[2],X,-J,G[0],G[1],G[2],G[3],le[0],le[1],le[2],ue[0],ue[1],ue[2],B,-J,$[0],$[1],$[2],$[3],le[0],le[1],le[2],ue[0],ue[1],ue[2],B,J,$[0],$[1],$[2],$[3]),O+=4}}if(this.buffer.update(L),z.push(B),F.push(N[N.length-1].slice()),this.bounds=I,this.vertexCount=O,this.points=F,this.arcLength=z,\"dashes\"in u){var oe=u.dashes,ie=oe.slice();for(ie.unshift(0),m=1;m<ie.length;++m)ie[m]=ie[m-1]+ie[m];var j=g(new Array(256*4),[256,1,4]);for(m=0;m<256;++m){for(h=0;h<4;++h)j.set(m,0,h,0);f.le(ie,ie[ie.length-1]*m/255)&1?j.set(m,0,0,0):j.set(m,0,0,255)}this.texture.setPixels(j)}},b.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},b.pick=function(u){if(!u||u.id!==this.pickId)return null;var m=c(u.value[0],u.value[1],u.value[2],0),h=f.le(this.arcLength,m);if(h<0)return null;if(h===this.arcLength.length-1)return new E(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),h);for(var P=this.points[h],L=this.points[Math.min(h+1,this.points.length-1)],z=(m-this.arcLength[h])/(this.arcLength[h+1]-this.arcLength[h]),F=1-z,B=[0,0,0],O=0;O<3;++O)B[O]=F*P[O]+z*L[O];var I=Math.min(z<.5?h:h+1,this.points.length-1);return new E(m,B,I,this.points[I])};function p(u){var m=u.gl||u.scene&&u.scene.gl,h=T(m);h.attributes.position.location=0,h.attributes.nextPosition.location=1,h.attributes.arcLength.location=2,h.attributes.lineWidth.location=3,h.attributes.color.location=4;var P=l(m);P.attributes.position.location=0,P.attributes.nextPosition.location=1,P.attributes.arcLength.location=2,P.attributes.lineWidth.location=3,P.attributes.color.location=4;for(var L=o(m),z=a(m,[{buffer:L,size:3,offset:0,stride:48},{buffer:L,size:3,offset:12,stride:48},{buffer:L,size:1,offset:24,stride:48},{buffer:L,size:1,offset:28,stride:48},{buffer:L,size:4,offset:32,stride:48}]),F=g(new Array(256*4),[256,1,4]),B=0;B<1024;++B)F.data[B]=255;var O=i(m,F);O.wrap=m.REPEAT;var I=new y(m,h,P,L,z,O);return I.update(u),I}},1903:function(e){e.exports=t;function t(r){var o=new Float32Array(16);return o[0]=r[0],o[1]=r[1],o[2]=r[2],o[3]=r[3],o[4]=r[4],o[5]=r[5],o[6]=r[6],o[7]=r[7],o[8]=r[8],o[9]=r[9],o[10]=r[10],o[11]=r[11],o[12]=r[12],o[13]=r[13],o[14]=r[14],o[15]=r[15],o}},6864:function(e){e.exports=t;function t(){var r=new Float32Array(16);return r[0]=1,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=1,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[10]=1,r[11]=0,r[12]=0,r[13]=0,r[14]=0,r[15]=1,r}},9921:function(e){e.exports=t;function t(r){var o=r[0],a=r[1],i=r[2],n=r[3],s=r[4],c=r[5],f=r[6],g=r[7],v=r[8],T=r[9],l=r[10],_=r[11],w=r[12],S=r[13],E=r[14],y=r[15],b=o*c-a*s,p=o*f-i*s,u=o*g-n*s,m=a*f-i*c,h=a*g-n*c,P=i*g-n*f,L=v*S-T*w,z=v*E-l*w,F=v*y-_*w,B=T*E-l*S,O=T*y-_*S,I=l*y-_*E;return b*I-p*O+u*B+m*F-h*z+P*L}},7399:function(e){e.exports=t;function t(r,o){var a=o[0],i=o[1],n=o[2],s=o[3],c=a+a,f=i+i,g=n+n,v=a*c,T=i*c,l=i*f,_=n*c,w=n*f,S=n*g,E=s*c,y=s*f,b=s*g;return r[0]=1-l-S,r[1]=T+b,r[2]=_-y,r[3]=0,r[4]=T-b,r[5]=1-v-S,r[6]=w+E,r[7]=0,r[8]=_+y,r[9]=w-E,r[10]=1-v-l,r[11]=0,r[12]=0,r[13]=0,r[14]=0,r[15]=1,r}},6743:function(e){e.exports=t;function t(r,o,a){var i=o[0],n=o[1],s=o[2],c=o[3],f=i+i,g=n+n,v=s+s,T=i*f,l=i*g,_=i*v,w=n*g,S=n*v,E=s*v,y=c*f,b=c*g,p=c*v;return r[0]=1-(w+E),r[1]=l+p,r[2]=_-b,r[3]=0,r[4]=l-p,r[5]=1-(T+E),r[6]=S+y,r[7]=0,r[8]=_+b,r[9]=S-y,r[10]=1-(T+w),r[11]=0,r[12]=a[0],r[13]=a[1],r[14]=a[2],r[15]=1,r}},7894:function(e){e.exports=t;function t(r){return r[0]=1,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=1,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[10]=1,r[11]=0,r[12]=0,r[13]=0,r[14]=0,r[15]=1,r}},7608:function(e){e.exports=t;function t(r,o){var a=o[0],i=o[1],n=o[2],s=o[3],c=o[4],f=o[5],g=o[6],v=o[7],T=o[8],l=o[9],_=o[10],w=o[11],S=o[12],E=o[13],y=o[14],b=o[15],p=a*f-i*c,u=a*g-n*c,m=a*v-s*c,h=i*g-n*f,P=i*v-s*f,L=n*v-s*g,z=T*E-l*S,F=T*y-_*S,B=T*b-w*S,O=l*y-_*E,I=l*b-w*E,N=_*b-w*y,U=p*N-u*I+m*O+h*B-P*F+L*z;return U?(U=1/U,r[0]=(f*N-g*I+v*O)*U,r[1]=(n*I-i*N-s*O)*U,r[2]=(E*L-y*P+b*h)*U,r[3]=(_*P-l*L-w*h)*U,r[4]=(g*B-c*N-v*F)*U,r[5]=(a*N-n*B+s*F)*U,r[6]=(y*m-S*L-b*u)*U,r[7]=(T*L-_*m+w*u)*U,r[8]=(c*I-f*B+v*z)*U,r[9]=(i*B-a*I-s*z)*U,r[10]=(S*P-E*m+b*p)*U,r[11]=(l*m-T*P-w*p)*U,r[12]=(f*F-c*O-g*z)*U,r[13]=(a*O-i*F+n*z)*U,r[14]=(E*u-S*h-y*p)*U,r[15]=(T*h-l*u+_*p)*U,r):null}},6582:function(e,t,r){var o=r(7894);e.exports=a;function a(i,n,s,c){var f,g,v,T,l,_,w,S,E,y,b=n[0],p=n[1],u=n[2],m=c[0],h=c[1],P=c[2],L=s[0],z=s[1],F=s[2];return Math.abs(b-L)<1e-6&&Math.abs(p-z)<1e-6&&Math.abs(u-F)<1e-6?o(i):(w=b-L,S=p-z,E=u-F,y=1/Math.sqrt(w*w+S*S+E*E),w*=y,S*=y,E*=y,f=h*E-P*S,g=P*w-m*E,v=m*S-h*w,y=Math.sqrt(f*f+g*g+v*v),y?(y=1/y,f*=y,g*=y,v*=y):(f=0,g=0,v=0),T=S*v-E*g,l=E*f-w*v,_=w*g-S*f,y=Math.sqrt(T*T+l*l+_*_),y?(y=1/y,T*=y,l*=y,_*=y):(T=0,l=0,_=0),i[0]=f,i[1]=T,i[2]=w,i[3]=0,i[4]=g,i[5]=l,i[6]=S,i[7]=0,i[8]=v,i[9]=_,i[10]=E,i[11]=0,i[12]=-(f*b+g*p+v*u),i[13]=-(T*b+l*p+_*u),i[14]=-(w*b+S*p+E*u),i[15]=1,i)}},6760:function(e){e.exports=t;function t(r,o,a){var i=o[0],n=o[1],s=o[2],c=o[3],f=o[4],g=o[5],v=o[6],T=o[7],l=o[8],_=o[9],w=o[10],S=o[11],E=o[12],y=o[13],b=o[14],p=o[15],u=a[0],m=a[1],h=a[2],P=a[3];return r[0]=u*i+m*f+h*l+P*E,r[1]=u*n+m*g+h*_+P*y,r[2]=u*s+m*v+h*w+P*b,r[3]=u*c+m*T+h*S+P*p,u=a[4],m=a[5],h=a[6],P=a[7],r[4]=u*i+m*f+h*l+P*E,r[5]=u*n+m*g+h*_+P*y,r[6]=u*s+m*v+h*w+P*b,r[7]=u*c+m*T+h*S+P*p,u=a[8],m=a[9],h=a[10],P=a[11],r[8]=u*i+m*f+h*l+P*E,r[9]=u*n+m*g+h*_+P*y,r[10]=u*s+m*v+h*w+P*b,r[11]=u*c+m*T+h*S+P*p,u=a[12],m=a[13],h=a[14],P=a[15],r[12]=u*i+m*f+h*l+P*E,r[13]=u*n+m*g+h*_+P*y,r[14]=u*s+m*v+h*w+P*b,r[15]=u*c+m*T+h*S+P*p,r}},4040:function(e){e.exports=t;function t(r,o,a,i,n,s,c){var f=1/(o-a),g=1/(i-n),v=1/(s-c);return r[0]=-2*f,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=-2*g,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[10]=2*v,r[11]=0,r[12]=(o+a)*f,r[13]=(n+i)*g,r[14]=(c+s)*v,r[15]=1,r}},4772:function(e){e.exports=t;function t(r,o,a,i,n){var s=1/Math.tan(o/2),c=1/(i-n);return r[0]=s/a,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=s,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[10]=(n+i)*c,r[11]=-1,r[12]=0,r[13]=0,r[14]=2*n*i*c,r[15]=0,r}},6079:function(e){e.exports=t;function t(r,o,a,i){var n=i[0],s=i[1],c=i[2],f=Math.sqrt(n*n+s*s+c*c),g,v,T,l,_,w,S,E,y,b,p,u,m,h,P,L,z,F,B,O,I,N,U,W;return Math.abs(f)<1e-6?null:(f=1/f,n*=f,s*=f,c*=f,g=Math.sin(a),v=Math.cos(a),T=1-v,l=o[0],_=o[1],w=o[2],S=o[3],E=o[4],y=o[5],b=o[6],p=o[7],u=o[8],m=o[9],h=o[10],P=o[11],L=n*n*T+v,z=s*n*T+c*g,F=c*n*T-s*g,B=n*s*T-c*g,O=s*s*T+v,I=c*s*T+n*g,N=n*c*T+s*g,U=s*c*T-n*g,W=c*c*T+v,r[0]=l*L+E*z+u*F,r[1]=_*L+y*z+m*F,r[2]=w*L+b*z+h*F,r[3]=S*L+p*z+P*F,r[4]=l*B+E*O+u*I,r[5]=_*B+y*O+m*I,r[6]=w*B+b*O+h*I,r[7]=S*B+p*O+P*I,r[8]=l*N+E*U+u*W,r[9]=_*N+y*U+m*W,r[10]=w*N+b*U+h*W,r[11]=S*N+p*U+P*W,o!==r&&(r[12]=o[12],r[13]=o[13],r[14]=o[14],r[15]=o[15]),r)}},5567:function(e){e.exports=t;function t(r,o,a){var i=Math.sin(a),n=Math.cos(a),s=o[4],c=o[5],f=o[6],g=o[7],v=o[8],T=o[9],l=o[10],_=o[11];return o!==r&&(r[0]=o[0],r[1]=o[1],r[2]=o[2],r[3]=o[3],r[12]=o[12],r[13]=o[13],r[14]=o[14],r[15]=o[15]),r[4]=s*n+v*i,r[5]=c*n+T*i,r[6]=f*n+l*i,r[7]=g*n+_*i,r[8]=v*n-s*i,r[9]=T*n-c*i,r[10]=l*n-f*i,r[11]=_*n-g*i,r}},2408:function(e){e.exports=t;function t(r,o,a){var i=Math.sin(a),n=Math.cos(a),s=o[0],c=o[1],f=o[2],g=o[3],v=o[8],T=o[9],l=o[10],_=o[11];return o!==r&&(r[4]=o[4],r[5]=o[5],r[6]=o[6],r[7]=o[7],r[12]=o[12],r[13]=o[13],r[14]=o[14],r[15]=o[15]),r[0]=s*n-v*i,r[1]=c*n-T*i,r[2]=f*n-l*i,r[3]=g*n-_*i,r[8]=s*i+v*n,r[9]=c*i+T*n,r[10]=f*i+l*n,r[11]=g*i+_*n,r}},7089:function(e){e.exports=t;function t(r,o,a){var i=Math.sin(a),n=Math.cos(a),s=o[0],c=o[1],f=o[2],g=o[3],v=o[4],T=o[5],l=o[6],_=o[7];return o!==r&&(r[8]=o[8],r[9]=o[9],r[10]=o[10],r[11]=o[11],r[12]=o[12],r[13]=o[13],r[14]=o[14],r[15]=o[15]),r[0]=s*n+v*i,r[1]=c*n+T*i,r[2]=f*n+l*i,r[3]=g*n+_*i,r[4]=v*n-s*i,r[5]=T*n-c*i,r[6]=l*n-f*i,r[7]=_*n-g*i,r}},2504:function(e){e.exports=t;function t(r,o,a){var i=a[0],n=a[1],s=a[2];return 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y=0,b=1/0,E=0;E<S.length;++E){for(var p=0,u=0;u<2;++u)p+=Math.pow(S[E][u]-v[u],2);p<b&&(b=p,y=E)}for(var m=s(S,v),h=0,E=0;E<3;++E){if(m[E]<-.001||m[E]>1.0001)return null;h+=m[E]}return Math.abs(h-1)>.001?null:[y,c(g,m),m]}},840:function(e,t,r){var o=r(3236),a=o([`precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * (view * (model * vec4(p, 1.0)));\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n`]),i=o([`#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n`]),n=o([`precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}`]),s=o([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}`]),c=o([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * (view * (model * vec4(position, 1.0)));\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}`]),f=o([`precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}`]),g=o([`precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n  f_id        = id;\n  f_position  = position;\n}`]),v=o([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}`]),T=o([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}`]),l=o([`precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n}`]),_=o([`precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n`]);t.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},t.wireShader={vertex:n,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},t.pointShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},t.pickShader={vertex:g,fragment:v,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},t.pointPickShader={vertex:T,fragment:v,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},t.contourShader={vertex:l,fragment:_,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(e,t,r){\"use strict\";var o=1e-6,a=1e-6,i=r(9405),n=r(2762),s=r(8116),c=r(7766),f=r(8406),g=r(6760),v=r(7608),T=r(9618),l=r(6729),_=r(7765),w=r(1888),S=r(840),E=r(7626),y=S.meshShader,b=S.wireShader,p=S.pointShader,u=S.pickShader,m=S.pointPickShader,h=S.contourShader,P=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function L(he,G,$,J,X,oe,ie,j,ee,re,ce,be,Ae,ze,Re,Xe,it,ot,tt,lt,Ee,_e,fe,Fe,rt,st,Qe){this.gl=he,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=G,this.dirty=!0,this.triShader=$,this.lineShader=J,this.pointShader=X,this.pickShader=oe,this.pointPickShader=ie,this.contourShader=j,this.trianglePositions=ee,this.triangleColors=ce,this.triangleNormals=Ae,this.triangleUVs=be,this.triangleIds=re,this.triangleVAO=ze,this.triangleCount=0,this.lineWidth=1,this.edgePositions=Re,this.edgeColors=it,this.edgeUVs=ot,this.edgeIds=Xe,this.edgeVAO=tt,this.edgeCount=0,this.pointPositions=lt,this.pointColors=_e,this.pointUVs=fe,this.pointSizes=Fe,this.pointIds=Ee,this.pointVAO=rt,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=st,this.contourVAO=Qe,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=P,this._view=P,this._projection=P,this._resolution=[1,1]}var z=L.prototype;z.isOpaque=function(){return!this.hasAlpha},z.isTransparent=function(){return this.hasAlpha},z.pickSlots=1,z.setPickBase=function(he){this.pickId=he};function F(he,G){if(!G||!G.length)return 1;for(var $=0;$<G.length;++$){if(G.length<2)return 1;if(G[$][0]===he)return G[$][1];if(G[$][0]>he&&$>0){var J=(G[$][0]-he)/(G[$][0]-G[$-1][0]);return G[$][1]*(1-J)+J*G[$-1][1]}}return 1}function B(he,G){for(var $=l({colormap:he,nshades:256,format:\"rgba\"}),J=new Uint8Array(256*4),X=0;X<256;++X){for(var oe=$[X],ie=0;ie<3;++ie)J[4*X+ie]=oe[ie];G?J[4*X+3]=255*F(X/255,G):J[4*X+3]=255*oe[3]}return T(J,[256,256,4],[4,0,1])}function O(he){for(var G=he.length,$=new Array(G),J=0;J<G;++J)$[J]=he[J][2];return $}z.highlight=function(he){if(!he||!this.contourEnable){this.contourCount=0;return}for(var G=_(this.cells,this.intensity,he.intensity),$=G.cells,J=G.vertexIds,X=G.vertexWeights,oe=$.length,ie=w.mallocFloat32(2*3*oe),j=0,ee=0;ee<oe;++ee)for(var re=$[ee],ce=0;ce<2;++ce){var be=re[0];re.length===2&&(be=re[ce]);for(var Ae=J[be][0],ze=J[be][1],Re=X[be],Xe=1-Re,it=this.positions[Ae],ot=this.positions[ze],tt=0;tt<3;++tt)ie[j++]=Re*it[tt]+Xe*ot[tt]}this.contourCount=j/3|0,this.contourPositions.update(ie.subarray(0,j)),w.free(ie)},z.update=function(he){he=he||{};var G=this.gl;this.dirty=!0,\"contourEnable\"in he&&(this.contourEnable=he.contourEnable),\"contourColor\"in he&&(this.contourColor=he.contourColor),\"lineWidth\"in he&&(this.lineWidth=he.lineWidth),\"lightPosition\"in he&&(this.lightPosition=he.lightPosition),this.hasAlpha=!1,\"opacity\"in he&&(this.opacity=he.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in he&&(this.opacityscale=he.opacityscale,this.hasAlpha=!0),\"ambient\"in he&&(this.ambientLight=he.ambient),\"diffuse\"in he&&(this.diffuseLight=he.diffuse),\"specular\"in he&&(this.specularLight=he.specular),\"roughness\"in he&&(this.roughness=he.roughness),\"fresnel\"in he&&(this.fresnel=he.fresnel),he.texture?(this.texture.dispose(),this.texture=c(G,he.texture)):he.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=G.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=G.LINEAR,this.texture.setPixels(B(he.colormap,this.opacityscale)),this.texture.generateMipmap());var $=he.cells,J=he.positions;if(!(!J||!$)){var X=[],oe=[],ie=[],j=[],ee=[],re=[],ce=[],be=[],Ae=[],ze=[],Re=[],Xe=[],it=[],ot=[];this.cells=$,this.positions=J;var tt=he.vertexNormals,lt=he.cellNormals,Ee=he.vertexNormalsEpsilon===void 0?o:he.vertexNormalsEpsilon,_e=he.faceNormalsEpsilon===void 0?a:he.faceNormalsEpsilon;he.useFacetNormals&&!lt&&(lt=f.faceNormals($,J,_e)),!lt&&!tt&&(tt=f.vertexNormals($,J,Ee));var fe=he.vertexColors,Fe=he.cellColors,rt=he.meshColor||[1,1,1,1],st=he.vertexUVs,Qe=he.vertexIntensity,Lt=he.cellUVs,kt=he.cellIntensity,Vt=1/0,Zt=-1/0;if(!st&&!Lt)if(Qe)if(he.vertexIntensityBounds)Vt=+he.vertexIntensityBounds[0],Zt=+he.vertexIntensityBounds[1];else for(var Sr=0;Sr<Qe.length;++Sr){var xr=Qe[Sr];Vt=Math.min(Vt,xr),Zt=Math.max(Zt,xr)}else if(kt)if(he.cellIntensityBounds)Vt=+he.cellIntensityBounds[0],Zt=+he.cellIntensityBounds[1];else for(var Sr=0;Sr<kt.length;++Sr){var xr=kt[Sr];Vt=Math.min(Vt,xr),Zt=Math.max(Zt,xr)}else for(var Sr=0;Sr<J.length;++Sr){var xr=J[Sr][2];Vt=Math.min(Vt,xr),Zt=Math.max(Zt,xr)}Qe?this.intensity=Qe:kt?this.intensity=kt:this.intensity=O(J),this.pickVertex=!(kt||Fe);var jr=he.pointSizes,wr=he.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var Sr=0;Sr<J.length;++Sr)for(var Ir=J[Sr],bt=0;bt<3;++bt)isNaN(Ir[bt])||!isFinite(Ir[bt])||(this.bounds[0][bt]=Math.min(this.bounds[0][bt],Ir[bt]),this.bounds[1][bt]=Math.max(this.bounds[1][bt],Ir[bt]));var Be=0,Ke=0,Ue=0;e:for(var Sr=0;Sr<$.length;++Sr){var Me=$[Sr];switch(Me.length){case 1:for(var qe=Me[0],Ir=J[qe],bt=0;bt<3;++bt)if(isNaN(Ir[bt])||!isFinite(Ir[bt]))continue e;ze.push(Ir[0],Ir[1],Ir[2]);var Ce;fe?Ce=fe[qe]:Fe?Ce=Fe[Sr]:Ce=rt,this.opacityscale&&Qe?oe.push(Ce[0],Ce[1],Ce[2],this.opacity*F((Qe[qe]-Vt)/(Zt-Vt),this.opacityscale)):Ce.length===3?Re.push(Ce[0],Ce[1],Ce[2],this.opacity):(Re.push(Ce[0],Ce[1],Ce[2],Ce[3]*this.opacity),Ce[3]<1&&(this.hasAlpha=!0));var Te;st?Te=st[qe]:Qe?Te=[(Qe[qe]-Vt)/(Zt-Vt),0]:Lt?Te=Lt[Sr]:kt?Te=[(kt[Sr]-Vt)/(Zt-Vt),0]:Te=[(Ir[2]-Vt)/(Zt-Vt),0],Xe.push(Te[0],Te[1]),jr?it.push(jr[qe]):it.push(wr),ot.push(Sr),Ue+=1;break;case 2:for(var bt=0;bt<2;++bt)for(var qe=Me[bt],Ir=J[qe],Pe=0;Pe<3;++Pe)if(isNaN(Ir[Pe])||!isFinite(Ir[Pe]))continue e;for(var bt=0;bt<2;++bt){var qe=Me[bt],Ir=J[qe];re.push(Ir[0],Ir[1],Ir[2]);var Ce;fe?Ce=fe[qe]:Fe?Ce=Fe[Sr]:Ce=rt,this.opacityscale&&Qe?oe.push(Ce[0],Ce[1],Ce[2],this.opacity*F((Qe[qe]-Vt)/(Zt-Vt),this.opacityscale)):Ce.length===3?ce.push(Ce[0],Ce[1],Ce[2],this.opacity):(ce.push(Ce[0],Ce[1],Ce[2],Ce[3]*this.opacity),Ce[3]<1&&(this.hasAlpha=!0));var Te;st?Te=st[qe]:Qe?Te=[(Qe[qe]-Vt)/(Zt-Vt),0]:Lt?Te=Lt[Sr]:kt?Te=[(kt[Sr]-Vt)/(Zt-Vt),0]:Te=[(Ir[2]-Vt)/(Zt-Vt),0],be.push(Te[0],Te[1]),Ae.push(Sr)}Ke+=1;break;case 3:for(var bt=0;bt<3;++bt)for(var qe=Me[bt],Ir=J[qe],Pe=0;Pe<3;++Pe)if(isNaN(Ir[Pe])||!isFinite(Ir[Pe]))continue e;for(var bt=0;bt<3;++bt){var qe=Me[2-bt],Ir=J[qe];X.push(Ir[0],Ir[1],Ir[2]);var Ce;fe?Ce=fe[qe]:Fe?Ce=Fe[Sr]:Ce=rt,Ce?this.opacityscale&&Qe?oe.push(Ce[0],Ce[1],Ce[2],this.opacity*F((Qe[qe]-Vt)/(Zt-Vt),this.opacityscale)):Ce.length===3?oe.push(Ce[0],Ce[1],Ce[2],this.opacity):(oe.push(Ce[0],Ce[1],Ce[2],Ce[3]*this.opacity),Ce[3]<1&&(this.hasAlpha=!0)):oe.push(.5,.5,.5,1);var Te;st?Te=st[qe]:Qe?Te=[(Qe[qe]-Vt)/(Zt-Vt),0]:Lt?Te=Lt[Sr]:kt?Te=[(kt[Sr]-Vt)/(Zt-Vt),0]:Te=[(Ir[2]-Vt)/(Zt-Vt),0],j.push(Te[0],Te[1]);var at;tt?at=tt[qe]:at=lt[Sr],ie.push(at[0],at[1],at[2]),ee.push(Sr)}Be+=1;break;default:break}}this.pointCount=Ue,this.edgeCount=Ke,this.triangleCount=Be,this.pointPositions.update(ze),this.pointColors.update(Re),this.pointUVs.update(Xe),this.pointSizes.update(it),this.pointIds.update(new Uint32Array(ot)),this.edgePositions.update(re),this.edgeColors.update(ce),this.edgeUVs.update(be),this.edgeIds.update(new Uint32Array(Ae)),this.trianglePositions.update(X),this.triangleColors.update(oe),this.triangleUVs.update(j),this.triangleNormals.update(ie),this.triangleIds.update(new Uint32Array(ee))}},z.drawTransparent=z.draw=function(he){he=he||{};for(var G=this.gl,$=he.model||P,J=he.view||P,X=he.projection||P,oe=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],ie=0;ie<3;++ie)oe[0][ie]=Math.max(oe[0][ie],this.clipBounds[0][ie]),oe[1][ie]=Math.min(oe[1][ie],this.clipBounds[1][ie]);var j={model:$,view:J,projection:X,inverseModel:P.slice(),clipBounds:oe,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};j.inverseModel=v(j.inverseModel,j.model),G.disable(G.CULL_FACE),this.texture.bind(0);var ee=new Array(16);g(ee,j.view,j.model),g(ee,j.projection,ee),v(ee,ee);for(var ie=0;ie<3;++ie)j.eyePosition[ie]=ee[12+ie]/ee[15];for(var re=ee[15],ie=0;ie<3;++ie)re+=this.lightPosition[ie]*ee[4*ie+3];for(var ie=0;ie<3;++ie){for(var ce=ee[12+ie],be=0;be<3;++be)ce+=ee[4*be+ie]*this.lightPosition[be];j.lightPosition[ie]=ce/re}if(this.triangleCount>0){var Ae=this.triShader;Ae.bind(),Ae.uniforms=j,this.triangleVAO.bind(),G.drawArrays(G.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var Ae=this.lineShader;Ae.bind(),Ae.uniforms=j,this.edgeVAO.bind(),G.lineWidth(this.lineWidth*this.pixelRatio),G.drawArrays(G.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()}if(this.pointCount>0){var Ae=this.pointShader;Ae.bind(),Ae.uniforms=j,this.pointVAO.bind(),G.drawArrays(G.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var Ae=this.contourShader;Ae.bind(),Ae.uniforms=j,this.contourVAO.bind(),G.drawArrays(G.LINES,0,this.contourCount),this.contourVAO.unbind()}},z.drawPick=function(he){he=he||{};for(var G=this.gl,$=he.model||P,J=he.view||P,X=he.projection||P,oe=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],ie=0;ie<3;++ie)oe[0][ie]=Math.max(oe[0][ie],this.clipBounds[0][ie]),oe[1][ie]=Math.min(oe[1][ie],this.clipBounds[1][ie]);this._model=[].slice.call($),this._view=[].slice.call(J),this._projection=[].slice.call(X),this._resolution=[G.drawingBufferWidth,G.drawingBufferHeight];var j={model:$,view:J,projection:X,clipBounds:oe,pickId:this.pickId/255},ee=this.pickShader;if(ee.bind(),ee.uniforms=j,this.triangleCount>0&&(this.triangleVAO.bind(),G.drawArrays(G.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),G.lineWidth(this.lineWidth*this.pixelRatio),G.drawArrays(G.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()),this.pointCount>0){var ee=this.pointPickShader;ee.bind(),ee.uniforms=j,this.pointVAO.bind(),G.drawArrays(G.POINTS,0,this.pointCount),this.pointVAO.unbind()}},z.pick=function(he){if(!he||he.id!==this.pickId)return null;for(var G=he.value[0]+256*he.value[1]+65536*he.value[2],$=this.cells[G],J=this.positions,X=new Array($.length),oe=0;oe<$.length;++oe)X[oe]=J[$[oe]];var ie=he.coord[0],j=he.coord[1];if(!this.pickVertex){var ee=this.positions[$[0]],re=this.positions[$[1]],ce=this.positions[$[2]],be=[(ee[0]+re[0]+ce[0])/3,(ee[1]+re[1]+ce[1])/3,(ee[2]+re[2]+ce[2])/3];return{_cellCenter:!0,position:[ie,j],index:G,cell:$,cellId:G,intensity:this.intensity[G],dataCoordinate:be}}var Ae=E(X,[ie*this.pixelRatio,this._resolution[1]-j*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!Ae)return null;for(var ze=Ae[2],Re=0,oe=0;oe<$.length;++oe)Re+=ze[oe]*this.intensity[$[oe]];return{position:Ae[1],index:$[Ae[0]],cell:$,cellId:G,intensity:Re,dataCoordinate:this.positions[$[Ae[0]]]}},z.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()};function I(he){var G=i(he,y.vertex,y.fragment);return G.attributes.position.location=0,G.attributes.color.location=2,G.attributes.uv.location=3,G.attributes.normal.location=4,G}function N(he){var G=i(he,b.vertex,b.fragment);return G.attributes.position.location=0,G.attributes.color.location=2,G.attributes.uv.location=3,G}function U(he){var G=i(he,p.vertex,p.fragment);return G.attributes.position.location=0,G.attributes.color.location=2,G.attributes.uv.location=3,G.attributes.pointSize.location=4,G}function W(he){var G=i(he,u.vertex,u.fragment);return G.attributes.position.location=0,G.attributes.id.location=1,G}function Q(he){var G=i(he,m.vertex,m.fragment);return G.attributes.position.location=0,G.attributes.id.location=1,G.attributes.pointSize.location=4,G}function ue(he){var G=i(he,h.vertex,h.fragment);return G.attributes.position.location=0,G}function le(he,G){arguments.length===1&&(G=he,he=G.gl);var $=he.getExtension(\"OES_standard_derivatives\")||he.getExtension(\"MOZ_OES_standard_derivatives\")||he.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!$)throw new Error(\"derivatives not supported\");var J=I(he),X=N(he),oe=U(he),ie=W(he),j=Q(he),ee=ue(he),re=c(he,T(new Uint8Array([255,255,255,255]),[1,1,4]));re.generateMipmap(),re.minFilter=he.LINEAR_MIPMAP_LINEAR,re.magFilter=he.LINEAR;var ce=n(he),be=n(he),Ae=n(he),ze=n(he),Re=n(he),Xe=s(he,[{buffer:ce,type:he.FLOAT,size:3},{buffer:Re,type:he.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:be,type:he.FLOAT,size:4},{buffer:Ae,type:he.FLOAT,size:2},{buffer:ze,type:he.FLOAT,size:3}]),it=n(he),ot=n(he),tt=n(he),lt=n(he),Ee=s(he,[{buffer:it,type:he.FLOAT,size:3},{buffer:lt,type:he.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:ot,type:he.FLOAT,size:4},{buffer:tt,type:he.FLOAT,size:2}]),_e=n(he),fe=n(he),Fe=n(he),rt=n(he),st=n(he),Qe=s(he,[{buffer:_e,type:he.FLOAT,size:3},{buffer:st,type:he.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:fe,type:he.FLOAT,size:4},{buffer:Fe,type:he.FLOAT,size:2},{buffer:rt,type:he.FLOAT,size:1}]),Lt=n(he),kt=s(he,[{buffer:Lt,type:he.FLOAT,size:3}]),Vt=new L(he,re,J,X,oe,ie,j,ee,ce,Re,be,Ae,ze,Xe,it,lt,ot,tt,Ee,_e,st,fe,Fe,rt,Qe,Lt,kt);return Vt.update(G),Vt}e.exports=le},4437:function(e,t,r){\"use strict\";e.exports=f;var o=r(3025),a=r(6296),i=r(351),n=r(8512),s=r(24),c=r(7520);function f(g,v){g=g||document.body,v=v||{};var T=[.01,1/0];\"distanceLimits\"in v&&(T[0]=v.distanceLimits[0],T[1]=v.distanceLimits[1]),\"zoomMin\"in v&&(T[0]=v.zoomMin),\"zoomMax\"in v&&(T[1]=v.zoomMax);var l=a({center:v.center||[0,0,0],up:v.up||[0,1,0],eye:v.eye||[0,0,10],mode:v.mode||\"orbit\",distanceLimits:T}),_=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],w=0,S=g.clientWidth,E=g.clientHeight,y={keyBindingMode:\"rotate\",enableWheel:!0,view:l,element:g,delay:v.delay||16,rotateSpeed:v.rotateSpeed||1,zoomSpeed:v.zoomSpeed||1,translateSpeed:v.translateSpeed||1,flipX:!!v.flipX,flipY:!!v.flipY,modes:l.modes,_ortho:v._ortho||v.projection&&v.projection.type===\"orthographic\"||!1,tick:function(){var b=o(),p=this.delay,u=b-2*p;l.idle(b-p),l.recalcMatrix(u),l.flush(b-(100+p*2));for(var m=!0,h=l.computedMatrix,P=0;P<16;++P)m=m&&_[P]===h[P],_[P]=h[P];var L=g.clientWidth===S&&g.clientHeight===E;return 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l.lookAt(l.lastT(),b),l.computedEye},enumerable:!0},up:{get:function(){return l.computedUp},set:function(b){return l.lookAt(l.lastT(),null,null,b),l.computedUp},enumerable:!0},distance:{get:function(){return w},set:function(b){return l.setDistance(l.lastT(),b),b},enumerable:!0},distanceLimits:{get:function(){return l.getDistanceLimits(T)},set:function(b){return l.setDistanceLimits(b),b},enumerable:!0}}),g.addEventListener(\"contextmenu\",function(b){return b.preventDefault(),!1}),y._lastX=-1,y._lastY=-1,y._lastMods={shift:!1,control:!1,alt:!1,meta:!1},y.enableMouseListeners=function(){y.mouseListener=i(g,b),g.addEventListener(\"touchstart\",function(p){var u=s(p.changedTouches[0],g);b(0,u[0],u[1],y._lastMods),b(1,u[0],u[1],y._lastMods)},c?{passive:!0}:!1),g.addEventListener(\"touchmove\",function(p){var 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o=r(4437),a=r(3837),i=r(5445),n=r(4449),s=r(3589),c=r(2260),f=r(7169),g=r(351),v=r(4772),T=r(4040),l=r(799),_=r(9216)({tablet:!0,featureDetect:!0});e.exports={createScene:b,createCamera:o};function w(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function S(u,m){var h=null;try{h=u.getContext(\"webgl\",m),h||(h=u.getContext(\"experimental-webgl\",m))}catch{return null}return h}function E(u){var m=Math.round(Math.log(Math.abs(u))/Math.log(10));if(m<0){var h=Math.round(Math.pow(10,-m));return Math.ceil(u*h)/h}else if(m>0){var h=Math.round(Math.pow(10,m));return Math.ceil(u/h)*h}return Math.ceil(u)}function y(u){return typeof u==\"boolean\"?u:!0}function b(u){u=u||{},u.camera=u.camera||{};var m=u.canvas;if(!m)if(m=document.createElement(\"canvas\"),u.container){var h=u.container;h.appendChild(m)}else document.body.appendChild(m);var P=u.gl;if(P||(u.glOptions&&(_=!!u.glOptions.preserveDrawingBuffer),P=S(m,u.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:_})),!P)throw new Error(\"webgl not supported\");var L=u.bounds||[[-10,-10,-10],[10,10,10]],z=new w,F=c(P,P.drawingBufferWidth,P.drawingBufferHeight,{preferFloat:!_}),B=l(P),O=u.cameraObject&&u.cameraObject._ortho===!0||u.camera.projection&&u.camera.projection.type===\"orthographic\"||!1,I={eye:u.camera.eye||[2,0,0],center:u.camera.center||[0,0,0],up:u.camera.up||[0,1,0],zoomMin:u.camera.zoomMax||.1,zoomMax:u.camera.zoomMin||100,mode:u.camera.mode||\"turntable\",_ortho:O},N=u.axes||{},U=a(P,N);U.enable=!N.disable;var W=u.spikes||{},Q=n(P,W),ue=[],le=[],he=[],G=[],$=!0,ie=!0,J=new Array(16),X=new 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be(){if(!re._stopped&&re.autoResize){var lt=m.parentNode,Ee=1,_e=1;lt&&lt!==document.body?(Ee=lt.clientWidth,_e=lt.clientHeight):(Ee=window.innerWidth,_e=window.innerHeight);var fe=Math.ceil(Ee*re.pixelRatio)|0,Fe=Math.ceil(_e*re.pixelRatio)|0;if(fe!==m.width||Fe!==m.height){m.width=fe,m.height=Fe;var rt=m.style;rt.position=rt.position||\"absolute\",rt.left=\"0px\",rt.top=\"0px\",rt.width=Ee+\"px\",rt.height=_e+\"px\",$=!0}}}re.autoResize&&be(),window.addEventListener(\"resize\",be);function Ae(){for(var lt=ue.length,Ee=G.length,_e=0;_e<Ee;++_e)he[_e]=0;e:for(var _e=0;_e<lt;++_e){var fe=ue[_e],Fe=fe.pickSlots;if(!Fe){le[_e]=-1;continue}for(var rt=0;rt<Ee;++rt)if(he[rt]+Fe<255){le[_e]=rt,fe.setPickBase(he[rt]+1),he[rt]+=Fe;continue e}var 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fe=G.length,Fe=ue.length,rt=z.object;z.distance=1/0,z.mouse[0]=Ee,z.mouse[1]=_e,z.object=null,z.screen=null,z.dataCoordinate=z.dataPosition=null;var st=!1;if(lt&&re._prevButtons)re._mouseRotating=!0;else{re._mouseRotating&&(ie=!0),re._mouseRotating=!1;for(var Qe=0;Qe<fe;++Qe){var Lt=G[Qe].query(Ee,ce[1]-_e-1,re.pickRadius);if(Lt){if(Lt.distance>z.distance)continue;for(var kt=0;kt<Fe;++kt){var Vt=ue[kt];if(le[kt]===Qe){var Zt=Vt.pick(Lt);Zt&&(z.buttons=lt,z.screen=Lt.coord,z.distance=Lt.distance,z.object=Vt,z.index=Zt.distance,z.dataPosition=Zt.position,z.dataCoordinate=Zt.dataCoordinate,z.data=Zt,st=!0)}}}}}rt&&rt!==z.object&&(rt.highlight&&rt.highlight(null),$=!0),z.object&&(z.object.highlight&&z.object.highlight(z.data),$=!0),st=st||z.object!==rt,st&&re.onselect&&re.onselect(z),lt&1&&!(re._prevButtons&1)&&re.onclick&&re.onclick(z),re._prevButtons=lt}})};function ze(){if(re.contextLost)return!0;P.isContextLost()&&(re.contextLost=!0,re.mouseListener.enabled=!1,re.selection.object=null,re.oncontextloss&&re.oncontextloss())}m.addEventListener(\"webglcontextlost\",ze);function Re(){if(!ze()){P.colorMask(!0,!0,!0,!0),P.depthMask(!0),P.disable(P.BLEND),P.enable(P.DEPTH_TEST),P.depthFunc(P.LEQUAL);for(var lt=ue.length,Ee=G.length,_e=0;_e<Ee;++_e){var fe=G[_e];fe.shape=ce,fe.begin();for(var Fe=0;Fe<lt;++Fe)if(le[Fe]===_e){var rt=ue[Fe];rt.drawPick&&(rt.pixelRatio=1,rt.drawPick(oe))}fe.end()}}}var Xe=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],it=[Xe[0].slice(),Xe[1].slice()];function ot(){if(!ze()){be();var lt=re.camera.tick();oe.view=re.camera.matrix,$=$||lt,ie=ie||lt,U.pixelRatio=re.pixelRatio,Q.pixelRatio=re.pixelRatio;var Ee=ue.length,_e=Xe[0],fe=Xe[1];_e[0]=_e[1]=_e[2]=1/0,fe[0]=fe[1]=fe[2]=-1/0;for(var Fe=0;Fe<Ee;++Fe){var rt=ue[Fe];rt.pixelRatio=re.pixelRatio,rt.axes=re.axes,$=$||!!rt.dirty,ie=ie||!!rt.dirty;var st=rt.bounds;if(st)for(var Qe=st[0],Lt=st[1],kt=0;kt<3;++kt)_e[kt]=Math.min(_e[kt],Qe[kt]),fe[kt]=Math.max(fe[kt],Lt[kt])}var Vt=re.bounds;if(re.autoBounds)for(var kt=0;kt<3;++kt){if(fe[kt]<_e[kt])_e[kt]=-1,fe[kt]=1;else{_e[kt]===fe[kt]&&(_e[kt]-=1,fe[kt]+=1);var Zt=.05*(fe[kt]-_e[kt]);_e[kt]=_e[kt]-Zt,fe[kt]=fe[kt]+Zt}Vt[0][kt]=_e[kt],Vt[1][kt]=fe[kt]}for(var Sr=!1,kt=0;kt<3;++kt)Sr=Sr||it[0][kt]!==Vt[0][kt]||it[1][kt]!==Vt[1][kt],it[0][kt]=Vt[0][kt],it[1][kt]=Vt[1][kt];if(ie=ie||Sr,$=$||Sr,!!$){if(Sr){for(var xr=[0,0,0],Fe=0;Fe<3;++Fe)xr[Fe]=E((Vt[1][Fe]-Vt[0][Fe])/10);U.autoTicks?U.update({bounds:Vt,tickSpacing:xr}):U.update({bounds:Vt})}var jr=P.drawingBufferWidth,wr=P.drawingBufferHeight;j[0]=jr,j[1]=wr,ce[0]=Math.max(jr/re.pixelRatio,1)|0,ce[1]=Math.max(wr/re.pixelRatio,1)|0,p(re,O);for(var Fe=0;Fe<Ee;++Fe){var rt=ue[Fe];rt.axesBounds=Vt,re.clipToBounds&&(rt.clipBounds=Vt)}z.object&&(re.snapToData?Q.position=z.dataCoordinate:Q.position=z.dataPosition,Q.bounds=Vt),ie&&(ie=!1,Re()),re.axesPixels=i(re.axes,oe,jr,wr),re.onrender&&re.onrender(),P.bindFramebuffer(P.FRAMEBUFFER,null),P.viewport(0,0,jr,wr),re.clearRGBA(),P.depthMask(!0),P.colorMask(!0,!0,!0,!0),P.enable(P.DEPTH_TEST),P.depthFunc(P.LEQUAL),P.disable(P.BLEND),P.disable(P.CULL_FACE);var Ir=!1;U.enable&&(Ir=Ir||U.isTransparent(),U.draw(oe)),Q.axes=U,z.object&&Q.draw(oe),P.disable(P.CULL_FACE);for(var Fe=0;Fe<Ee;++Fe){var rt=ue[Fe];rt.axes=U,rt.pixelRatio=re.pixelRatio,rt.isOpaque&&rt.isOpaque()&&rt.draw(oe),rt.isTransparent&&rt.isTransparent()&&(Ir=!0)}if(Ir){F.shape=j,F.bind(),P.clear(P.DEPTH_BUFFER_BIT),P.colorMask(!1,!1,!1,!1),P.depthMask(!0),P.depthFunc(P.LESS),U.enable&&U.isTransparent()&&U.drawTransparent(oe);for(var Fe=0;Fe<Ee;++Fe){var rt=ue[Fe];rt.isOpaque&&rt.isOpaque()&&rt.draw(oe)}P.enable(P.BLEND),P.blendEquation(P.FUNC_ADD),P.blendFunc(P.ONE,P.ONE_MINUS_SRC_ALPHA),P.colorMask(!0,!0,!0,!0),P.depthMask(!1),P.clearColor(0,0,0,0),P.clear(P.COLOR_BUFFER_BIT),U.isTransparent()&&U.drawTransparent(oe);for(var Fe=0;Fe<Ee;++Fe){var rt=ue[Fe];rt.isTransparent&&rt.isTransparent()&&rt.drawTransparent(oe)}P.bindFramebuffer(P.FRAMEBUFFER,null),P.blendFunc(P.ONE,P.ONE_MINUS_SRC_ALPHA),P.disable(P.DEPTH_TEST),B.bind(),F.color[0].bind(0),B.uniforms.accumBuffer=0,f(P),P.disable(P.BLEND)}$=!1;for(var Fe=0;Fe<Ee;++Fe)ue[Fe].dirty=!1}}}function tt(){re._stopped||re.contextLost||(ot(),requestAnimationFrame(tt))}return re.enableMouseListeners(),tt(),re.redraw=function(){re._stopped||($=!0,ot())},re}function p(u,m){var h=u.bounds,P=u.cameraParams,L=P.projection,z=P.model,F=u.gl.drawingBufferWidth,B=u.gl.drawingBufferHeight,O=u.zNear,I=u.zFar,N=u.fovy,U=F/B;m?(T(L,-U,U,-1,1,O,I),P._ortho=!0):(v(L,N,U,O,I),P._ortho=!1);for(var W=0;W<16;++W)z[W]=0;z[15]=1;for(var Q=0,W=0;W<3;++W)Q=Math.max(Q,h[1][W]-h[0][W]);for(var W=0;W<3;++W)u.autoScale?z[5*W]=u.aspect[W]/(h[1][W]-h[0][W]):z[5*W]=1/Q,u.autoCenter&&(z[12+W]=-z[5*W]*.5*(h[0][W]+h[1][W]))}},783:function(e){e.exports=t;function t(r,o,a,i){var n=o[0],s=o[1],c=o[2],f=o[3],g=a[0],v=a[1],T=a[2],l=a[3],_,w,S,E,y;return w=n*g+s*v+c*T+f*l,w<0&&(w=-w,g=-g,v=-v,T=-T,l=-l),1-w>1e-6?(_=Math.acos(w),S=Math.sin(_),E=Math.sin((1-i)*_)/S,y=Math.sin(i*_)/S):(E=1-i,y=i),r[0]=E*n+y*g,r[1]=E*s+y*v,r[2]=E*c+y*T,r[3]=E*f+y*l,r}},5964:function(e){\"use strict\";e.exports=function(t){return!t&&t!==0?\"\":t.toString()}},9366:function(e,t,r){\"use strict\";var o=r(4359);e.exports=i;var a={};function i(n,s,c){var f=[s.style,s.weight,s.variant,s.family].join(\"_\"),g=a[f];if(g||(g=a[f]={}),n in g)return g[n];var v={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:s.family,fontStyle:s.style,fontWeight:s.weight,fontVariant:s.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}};v.triangles=!0;var T=o(n,v);v.triangles=!1;var l=o(n,v),_,w;if(c&&c!==1){for(_=0;_<T.positions.length;++_)for(w=0;w<T.positions[_].length;++w)T.positions[_][w]/=c;for(_=0;_<l.positions.length;++_)for(w=0;w<l.positions[_].length;++w)l.positions[_][w]/=c}var S=[[1/0,1/0],[-1/0,-1/0]],E=l.positions.length;for(_=0;_<E;++_){var y=l.positions[_];for(w=0;w<2;++w)S[0][w]=Math.min(S[0][w],y[w]),S[1][w]=Math.max(S[1][w],y[w])}return g[n]=[T,l,S]}},1283:function(e,t,r){var o=r(9405),a=r(3236),i=a([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}`]),n=a([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}`]),s=a([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n`]),c=a([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n`]),f=a([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}`]),g=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],v={vertex:i,fragment:c,attributes:g},T={vertex:n,fragment:c,attributes:g},l={vertex:s,fragment:c,attributes:g},_={vertex:i,fragment:f,attributes:g},w={vertex:n,fragment:f,attributes:g},S={vertex:s,fragment:f,attributes:g};function E(y,b){var p=o(y,b),u=p.attributes;return u.position.location=0,u.color.location=1,u.glyph.location=2,u.id.location=3,p}t.createPerspective=function(y){return E(y,v)},t.createOrtho=function(y){return E(y,T)},t.createProject=function(y){return E(y,l)},t.createPickPerspective=function(y){return E(y,_)},t.createPickOrtho=function(y){return E(y,w)},t.createPickProject=function(y){return E(y,S)}},8418:function(e,t,r){\"use strict\";var o=r(5219),a=r(2762),i=r(8116),n=r(1888),s=r(6760),c=r(1283),f=r(9366),g=r(5964),v=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=ArrayBuffer,l=DataView;function _(X){return T.isView(X)&&!(X instanceof l)}function w(X){return Array.isArray(X)||_(X)}e.exports=J;function S(X,oe){var ie=X[0],j=X[1],ee=X[2],re=X[3];return X[0]=oe[0]*ie+oe[4]*j+oe[8]*ee+oe[12]*re,X[1]=oe[1]*ie+oe[5]*j+oe[9]*ee+oe[13]*re,X[2]=oe[2]*ie+oe[6]*j+oe[10]*ee+oe[14]*re,X[3]=oe[3]*ie+oe[7]*j+oe[11]*ee+oe[15]*re,X}function E(X,oe,ie,j){return S(j,j,ie),S(j,j,oe),S(j,j,X)}function y(X,oe){this.index=X,this.dataCoordinate=this.position=oe}function b(X){return X===!0||X>1?1:X}function p(X,oe,ie,j,ee,re,ce,be,Ae,ze,Re,Xe){this.gl=X,this.pixelRatio=1,this.shader=oe,this.orthoShader=ie,this.projectShader=j,this.pointBuffer=ee,this.colorBuffer=re,this.glyphBuffer=ce,this.idBuffer=be,this.vao=Ae,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[.6666666666666666,.6666666666666666,.6666666666666666],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=ze,this.pickOrthoShader=Re,this.pickProjectShader=Xe,this.points=[],this._selectResult=new y(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}var u=p.prototype;u.pickSlots=1,u.setPickBase=function(X){this.pickId=X},u.isTransparent=function(){if(this.hasAlpha)return!0;for(var X=0;X<3;++X)if(this.axesProject[X]&&this.projectHasAlpha)return!0;return!1},u.isOpaque=function(){if(!this.hasAlpha)return!0;for(var X=0;X<3;++X)if(this.axesProject[X]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],h=[0,0,0],P=[0,0,0],L=[0,0,0,1],z=[0,0,0,1],F=v.slice(),B=[0,0,0],O=[[0,0,0],[0,0,0]];function I(X){return X[0]=X[1]=X[2]=0,X}function N(X,oe){return X[0]=oe[0],X[1]=oe[1],X[2]=oe[2],X[3]=1,X}function U(X,oe,ie,j){return X[0]=oe[0],X[1]=oe[1],X[2]=oe[2],X[ie]=j,X}function W(X){for(var oe=O,ie=0;ie<2;++ie)for(var j=0;j<3;++j)oe[ie][j]=Math.max(Math.min(X[ie][j],1e8),-1e8);return oe}function Q(X,oe,ie,j){var ee=oe.axesProject,re=oe.gl,ce=X.uniforms,be=ie.model||v,Ae=ie.view||v,ze=ie.projection||v,Re=oe.axesBounds,Xe=W(oe.clipBounds),it;oe.axes&&oe.axes.lastCubeProps?it=oe.axes.lastCubeProps.axis:it=[1,1,1],m[0]=2/re.drawingBufferWidth,m[1]=2/re.drawingBufferHeight,X.bind(),ce.view=Ae,ce.projection=ze,ce.screenSize=m,ce.highlightId=oe.highlightId,ce.highlightScale=oe.highlightScale,ce.clipBounds=Xe,ce.pickGroup=oe.pickId/255,ce.pixelRatio=j;for(var ot=0;ot<3;++ot)if(ee[ot]){ce.scale=oe.projectScale[ot],ce.opacity=oe.projectOpacity[ot];for(var tt=F,lt=0;lt<16;++lt)tt[lt]=0;for(var lt=0;lt<4;++lt)tt[5*lt]=1;tt[5*ot]=0,it[ot]<0?tt[12+ot]=Re[0][ot]:tt[12+ot]=Re[1][ot],s(tt,be,tt),ce.model=tt;var Ee=(ot+1)%3,_e=(ot+2)%3,fe=I(h),Fe=I(P);fe[Ee]=1,Fe[_e]=1;var rt=E(ze,Ae,be,N(L,fe)),st=E(ze,Ae,be,N(z,Fe));if(Math.abs(rt[1])>Math.abs(st[1])){var Qe=rt;rt=st,st=Qe,Qe=fe,fe=Fe,Fe=Qe;var Lt=Ee;Ee=_e,_e=Lt}rt[0]<0&&(fe[Ee]=-1),st[1]>0&&(Fe[_e]=-1);for(var kt=0,Vt=0,lt=0;lt<4;++lt)kt+=Math.pow(be[4*Ee+lt],2),Vt+=Math.pow(be[4*_e+lt],2);fe[Ee]/=Math.sqrt(kt),Fe[_e]/=Math.sqrt(Vt),ce.axes[0]=fe,ce.axes[1]=Fe,ce.fragClipBounds[0]=U(B,Xe[0],ot,-1e8),ce.fragClipBounds[1]=U(B,Xe[1],ot,1e8),oe.vao.bind(),oe.vao.draw(re.TRIANGLES,oe.vertexCount),oe.lineWidth>0&&(re.lineWidth(oe.lineWidth*j),oe.vao.draw(re.LINES,oe.lineVertexCount,oe.vertexCount)),oe.vao.unbind()}}var ue=[-1e8,-1e8,-1e8],le=[1e8,1e8,1e8],he=[ue,le];function G(X,oe,ie,j,ee,re,ce){var be=ie.gl;if((re===ie.projectHasAlpha||ce)&&Q(oe,ie,j,ee),re===ie.hasAlpha||ce){X.bind();var Ae=X.uniforms;Ae.model=j.model||v,Ae.view=j.view||v,Ae.projection=j.projection||v,m[0]=2/be.drawingBufferWidth,m[1]=2/be.drawingBufferHeight,Ae.screenSize=m,Ae.highlightId=ie.highlightId,Ae.highlightScale=ie.highlightScale,Ae.fragClipBounds=he,Ae.clipBounds=ie.axes.bounds,Ae.opacity=ie.opacity,Ae.pickGroup=ie.pickId/255,Ae.pixelRatio=ee,ie.vao.bind(),ie.vao.draw(be.TRIANGLES,ie.vertexCount),ie.lineWidth>0&&(be.lineWidth(ie.lineWidth*ee),ie.vao.draw(be.LINES,ie.lineVertexCount,ie.vertexCount)),ie.vao.unbind()}}u.draw=function(X){var oe=this.useOrtho?this.orthoShader:this.shader;G(oe,this.projectShader,this,X,this.pixelRatio,!1,!1)},u.drawTransparent=function(X){var oe=this.useOrtho?this.orthoShader:this.shader;G(oe,this.projectShader,this,X,this.pixelRatio,!0,!1)},u.drawPick=function(X){var oe=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;G(oe,this.pickProjectShader,this,X,1,!0,!0)},u.pick=function(X){if(!X||X.id!==this.pickId)return null;var oe=X.value[2]+(X.value[1]<<8)+(X.value[0]<<16);if(oe>=this.pointCount||oe<0)return null;var ie=this.points[oe],j=this._selectResult;j.index=oe;for(var ee=0;ee<3;++ee)j.position[ee]=j.dataCoordinate[ee]=ie[ee];return j},u.highlight=function(X){if(!X)this.highlightId=[1,1,1,1];else{var oe=X.index,ie=oe&255,j=oe>>8&255,ee=oe>>16&255;this.highlightId=[ie/255,j/255,ee/255,0]}};function $(X,oe,ie,j){var ee;w(X)?oe<X.length?ee=X[oe]:ee=void 0:ee=X,ee=g(ee);var re=!0;o(ee)&&(ee=\"\\u25BC\",re=!1),ie||(ie={});var ce=ie.family;w(ce)&&(ce=ce[oe]),ce||(ce=\"normal\");var be=ie.weight;w(be)&&(be=be[oe]),be||(be=\"normal\");var Ae=ie.style;w(Ae)&&(Ae=Ae[oe]),Ae||(Ae=\"normal\");var ze=ie.variant;w(ze)&&(ze=ze[oe]),ze||(ze=\"normal\");var Re=f(ee,{family:ce,weight:be,style:Ae,variant:ze},j),Re=f(ee,ie,j);return{mesh:Re[0],lines:Re[1],bounds:Re[2],visible:re}}u.update=function(X){if(X=X||{},\"perspective\"in X&&(this.useOrtho=!X.perspective),\"orthographic\"in X&&(this.useOrtho=!!X.orthographic),\"lineWidth\"in X&&(this.lineWidth=X.lineWidth),\"project\"in X)if(w(X.project))this.axesProject=X.project;else{var oe=!!X.project;this.axesProject=[oe,oe,oe]}if(\"projectScale\"in X)if(w(X.projectScale))this.projectScale=X.projectScale.slice();else{var ie=+X.projectScale;this.projectScale=[ie,ie,ie]}if(this.projectHasAlpha=!1,\"projectOpacity\"in X){if(w(X.projectOpacity))this.projectOpacity=X.projectOpacity.slice();else{var ie=+X.projectOpacity;this.projectOpacity=[ie,ie,ie]}for(var j=0;j<3;++j)this.projectOpacity[j]=b(this.projectOpacity[j]),this.projectOpacity[j]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in X&&(this.opacity=b(X.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var ee=X.position,re={family:X.font||\"normal\",style:X.fontStyle||\"normal\",weight:X.fontWeight||\"normal\",variant:X.fontVariant||\"normal\"},ce=X.alignment||[0,0],be,Ae;if(ce.length===2)be=ce[0],Ae=ce[1];else{be=[],Ae=[];for(var j=0;j<ce.length;++j)be[j]=ce[j][0],Ae[j]=ce[j][1]}var ze=[1/0,1/0,1/0],Re=[-1/0,-1/0,-1/0],Xe=X.glyph,it=X.color,ot=X.size,tt=X.angle,lt=X.lineColor,Ee=-1,_e=0,fe=0,Fe=0;if(ee.length){Fe=ee.length;e:for(var j=0;j<Fe;++j){for(var rt=ee[j],st=0;st<3;++st)if(isNaN(rt[st])||!isFinite(rt[st]))continue e;var Qe=$(Xe,j,re,this.pixelRatio),Lt=Qe.mesh,kt=Qe.lines,Vt=Qe.bounds;_e+=Lt.cells.length*3,fe+=kt.edges.length*2}}var Zt=_e+fe,Sr=n.mallocFloat(3*Zt),xr=n.mallocFloat(4*Zt),jr=n.mallocFloat(2*Zt),wr=n.mallocUint32(Zt);if(Zt>0){var Ir=0,bt=_e,Be=[0,0,0,1],Ke=[0,0,0,1],Ue=w(it)&&w(it[0]),Me=w(lt)&&w(lt[0]);e:for(var j=0;j<Fe;++j){Ee+=1;for(var rt=ee[j],st=0;st<3;++st){if(isNaN(rt[st])||!isFinite(rt[st]))continue e;Re[st]=Math.max(Re[st],rt[st]),ze[st]=Math.min(ze[st],rt[st])}var Qe=$(Xe,j,re,this.pixelRatio),Lt=Qe.mesh,kt=Qe.lines,Vt=Qe.bounds,qe=Qe.visible;if(!qe)Be=[1,1,1,0];else if(w(it)){var Ce;if(Ue?j<it.length?Ce=it[j]:Ce=[0,0,0,0]:Ce=it,Ce.length===3){for(var st=0;st<3;++st)Be[st]=Ce[st];Be[3]=1}else if(Ce.length===4){for(var st=0;st<4;++st)Be[st]=Ce[st];!this.hasAlpha&&Ce[3]<1&&(this.hasAlpha=!0)}}else Be[0]=Be[1]=Be[2]=0,Be[3]=1;if(!qe)Ke=[1,1,1,0];else if(w(lt)){var Ce;if(Me?j<lt.length?Ce=lt[j]:Ce=[0,0,0,0]:Ce=lt,Ce.length===3){for(var st=0;st<3;++st)Ke[st]=Ce[st];Ke[st]=1}else if(Ce.length===4){for(var st=0;st<4;++st)Ke[st]=Ce[st];!this.hasAlpha&&Ce[3]<1&&(this.hasAlpha=!0)}}else Ke[0]=Ke[1]=Ke[2]=0,Ke[3]=1;var Te=.5;qe?w(ot)?j<ot.length?Te=+ot[j]:Te=12:ot?Te=+ot:this.useOrtho&&(Te=12):Te=0;var Pe=0;w(tt)?j<tt.length?Pe=+tt[j]:Pe=0:tt&&(Pe=+tt);for(var at=Math.cos(Pe),yt=Math.sin(Pe),rt=ee[j],st=0;st<3;++st)Re[st]=Math.max(Re[st],rt[st]),ze[st]=Math.min(ze[st],rt[st]);var Tt=be,Ot=Ae,Tt=0;w(be)?j<be.length?Tt=be[j]:Tt=0:be&&(Tt=be);var Ot=0;w(Ae)?j<Ae.length?Ot=Ae[j]:Ot=0:Ae&&(Ot=Ae),Tt*=Tt>0?1-Vt[0][0]:Tt<0?1+Vt[1][0]:1,Ot*=Ot>0?1-Vt[0][1]:Ot<0?1+Vt[1][1]:1;for(var Gt=[Tt,Ot],Ua=Lt.cells||[],Ba=Lt.positions||[],st=0;st<Ua.length;++st)for(var rr=Ua[st],Qt=0;Qt<3;++Qt){for(var Tr=0;Tr<3;++Tr)Sr[3*Ir+Tr]=rt[Tr];for(var Tr=0;Tr<4;++Tr)xr[4*Ir+Tr]=Be[Tr];wr[Ir]=Ee;var la=Ba[rr[Qt]];jr[2*Ir]=Te*(at*la[0]-yt*la[1]+Gt[0]),jr[2*Ir+1]=Te*(yt*la[0]+at*la[1]+Gt[1]),Ir+=1}for(var Ua=kt.edges,Ba=kt.positions,st=0;st<Ua.length;++st)for(var rr=Ua[st],Qt=0;Qt<2;++Qt){for(var Tr=0;Tr<3;++Tr)Sr[3*bt+Tr]=rt[Tr];for(var Tr=0;Tr<4;++Tr)xr[4*bt+Tr]=Ke[Tr];wr[bt]=Ee;var la=Ba[rr[Qt]];jr[2*bt]=Te*(at*la[0]-yt*la[1]+Gt[0]),jr[2*bt+1]=Te*(yt*la[0]+at*la[1]+Gt[1]),bt+=1}}}this.bounds=[ze,Re],this.points=ee,this.pointCount=ee.length,this.vertexCount=_e,this.lineVertexCount=fe,this.pointBuffer.update(Sr),this.colorBuffer.update(xr),this.glyphBuffer.update(jr),this.idBuffer.update(wr),n.free(Sr),n.free(xr),n.free(jr),n.free(wr)},u.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()};function J(X){var oe=X.gl,ie=c.createPerspective(oe),j=c.createOrtho(oe),ee=c.createProject(oe),re=c.createPickPerspective(oe),ce=c.createPickOrtho(oe),be=c.createPickProject(oe),Ae=a(oe),ze=a(oe),Re=a(oe),Xe=a(oe),it=i(oe,[{buffer:Ae,size:3,type:oe.FLOAT},{buffer:ze,size:4,type:oe.FLOAT},{buffer:Re,size:2,type:oe.FLOAT},{buffer:Xe,size:4,type:oe.UNSIGNED_BYTE,normalized:!0}]),ot=new p(oe,ie,j,ee,Ae,ze,Re,Xe,it,re,ce,be);return ot.update(X),ot}},3589:function(e,t,r){\"use strict\";e.exports=v;var o=r(2260),a=r(1888),i=r(9618),n=r(8828).nextPow2,s=function(T,l,_){for(var w=1e8,S=-1,E=-1,y=T.shape[0],b=T.shape[1],p=0;p<y;p++)for(var u=0;u<b;u++){var m=T.get(p,u,0),h=T.get(p,u,1),P=T.get(p,u,2),L=T.get(p,u,3);if(m<255||h<255||P<255||L<255){var z=l-p,F=_-u,B=z*z+F*F;B<w&&(w=B,S=p,E=u)}}return[S,E,w]};function c(T,l,_,w,S){this.coord=[T,l],this.id=_,this.value=w,this.distance=S}function f(T,l,_){this.gl=T,this.fbo=l,this.buffer=_,this._readTimeout=null;var 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coordinates[3];\nuniform vec4 colors[3];\nuniform vec2 screenShape;\nuniform float lineWidth;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vertexPosition = mix(coordinates[0],\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n\n  vec4 clipPos = projection * (view * (model * vec4(vertexPosition, 1.0)));\n  vec2 clipOffset = (projection * (view * (model * vec4(color, 0.0)))).xy;\n  vec2 delta = weight * clipOffset * screenShape;\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n}\n`]),n=o([`precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n  gl_FragColor = fragColor;\n}`]);e.exports=function(s){return a(s,i,n,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},4449:function(e,t,r){\"use strict\";var o=r(2762),a=r(8116),i=r(1493);e.exports=T;var n=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(l,_,w,S){this.gl=l,this.buffer=_,this.vao=w,this.shader=S,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var c=s.prototype,f=[0,0,0],g=[0,0,0],v=[0,0];c.isTransparent=function(){return!1},c.drawTransparent=function(l){},c.draw=function(l){var _=this.gl,w=this.vao,S=this.shader;w.bind(),S.bind();var E=l.model||n,y=l.view||n,b=l.projection||n,p;this.axes&&(p=this.axes.lastCubeProps.axis);for(var u=f,m=g,h=0;h<3;++h)p&&p[h]<0?(u[h]=this.bounds[0][h],m[h]=this.bounds[1][h]):(u[h]=this.bounds[1][h],m[h]=this.bounds[0][h]);v[0]=_.drawingBufferWidth,v[1]=_.drawingBufferHeight,S.uniforms.model=E,S.uniforms.view=y,S.uniforms.projection=b,S.uniforms.coordinates=[this.position,u,m],S.uniforms.colors=this.colors,S.uniforms.screenShape=v;for(var h=0;h<3;++h)S.uniforms.lineWidth=this.lineWidth[h]*this.pixelRatio,this.enabled[h]&&(w.draw(_.TRIANGLES,6,6*h),this.drawSides[h]&&w.draw(_.TRIANGLES,12,18+12*h));w.unbind()},c.update=function(l){l&&(\"bounds\"in l&&(this.bounds=l.bounds),\"position\"in l&&(this.position=l.position),\"lineWidth\"in l&&(this.lineWidth=l.lineWidth),\"colors\"in l&&(this.colors=l.colors),\"enabled\"in l&&(this.enabled=l.enabled),\"drawSides\"in l&&(this.drawSides=l.drawSides))},c.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function T(l,_){var w=[];function S(u,m,h,P,L,z){var F=[u,m,h,0,0,0,1];F[P+3]=1,F[P]=L,w.push.apply(w,F),F[6]=-1,w.push.apply(w,F),F[P]=z,w.push.apply(w,F),w.push.apply(w,F),F[6]=1,w.push.apply(w,F),F[P]=L,w.push.apply(w,F)}S(0,0,0,0,0,1),S(0,0,0,1,0,1),S(0,0,0,2,0,1),S(1,0,0,1,-1,1),S(1,0,0,2,-1,1),S(0,1,0,0,-1,1),S(0,1,0,2,-1,1),S(0,0,1,0,-1,1),S(0,0,1,1,-1,1);var E=o(l,w),y=a(l,[{type:l.FLOAT,buffer:E,size:3,offset:0,stride:28},{type:l.FLOAT,buffer:E,size:3,offset:12,stride:28},{type:l.FLOAT,buffer:E,size:1,offset:24,stride:28}]),b=i(l);b.attributes.position.location=0,b.attributes.color.location=1,b.attributes.weight.location=2;var p=new s(l,E,y,b);return p.update(_),p}},6740:function(e,t,r){var o=r(3236),a=o([`precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n`]),i=o([`#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n`]),n=o([`precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * (view * tubePosition);\n  f_id        = id;\n  f_position  = position.xyz;\n}\n`]),s=o([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}`]);t.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},t.pickShader={vertex:n,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(e,t,r){\"use strict\";var o=r(2931),a=r(9970),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],n=function(S,E,y,b){for(var p=S.points,u=S.velocities,m=S.divergences,h=[],P=[],L=[],z=[],F=[],B=[],O=0,I=0,N=a.create(),U=a.create(),W=8,Q=0;Q<p.length;Q++){var ue=p[Q],le=u[Q],he=m[Q];E===0&&(he=y*.05),I=o.length(le)/b,N=a.create(),o.copy(N,le),N[3]=he;for(var G=0;G<W;G++)F[G]=[ue[0],ue[1],ue[2],G];if(z.length>0)for(var G=0;G<W;G++){var $=(G+1)%W;h.push(z[G],F[G],F[$],F[$],z[$],z[G]),L.push(U,N,N,N,U,U),B.push(O,I,I,I,O,O);var J=h.length;P.push([J-6,J-5,J-4],[J-3,J-2,J-1])}var X=z;z=F,F=X;var oe=U;U=N,N=oe;var ie=O;O=I,I=ie}return{positions:h,cells:P,vectors:L,vertexIntensity:B}},s=function(S,E,y,b){for(var p=0,u=0;u<S.length;u++)for(var m=S[u].velocities,h=0;h<m.length;h++)p=Math.max(p,o.length(m[h]));for(var P=S.map(function(Q){return n(Q,y,b,p)}),L=[],z=[],F=[],B=[],u=0;u<P.length;u++){var O=P[u],I=L.length;L=L.concat(O.positions),F=F.concat(O.vectors),B=B.concat(O.vertexIntensity);for(var h=0;h<O.cells.length;h++){var N=O.cells[h],U=[];z.push(U);for(var W=0;W<N.length;W++)U.push(N[W]+I)}}return{positions:L,cells:z,vectors:F,vertexIntensity:B,colormap:E}},c=function(S,E){var y=S.length,b;for(b=0;b<y;b++){var p=S[b];if(p===E)return b;if(p>E)return b-1}return b},f=function(S,E,y){return S<E?E:S>y?y:S},g=function(S,E,y){var b=E.vectors,p=E.meshgrid,u=S[0],m=S[1],h=S[2],P=p[0].length,L=p[1].length,z=p[2].length,F=c(p[0],u),B=c(p[1],m),O=c(p[2],h),I=F+1,N=B+1,U=O+1;if(F=f(F,0,P-1),I=f(I,0,P-1),B=f(B,0,L-1),N=f(N,0,L-1),O=f(O,0,z-1),U=f(U,0,z-1),F<0||B<0||O<0||I>P-1||N>L-1||U>z-1)return o.create();var W=p[0][F],Q=p[0][I],ue=p[1][B],le=p[1][N],he=p[2][O],G=p[2][U],$=(u-W)/(Q-W),J=(m-ue)/(le-ue),X=(h-he)/(G-he);isFinite($)||($=.5),isFinite(J)||(J=.5),isFinite(X)||(X=.5);var oe,ie,j,ee,re,ce;switch(y.reversedX&&(F=P-1-F,I=P-1-I),y.reversedY&&(B=L-1-B,N=L-1-N),y.reversedZ&&(O=z-1-O,U=z-1-U),y.filled){case 5:re=O,ce=U,j=B*z,ee=N*z,oe=F*z*L,ie=I*z*L;break;case 4:re=O,ce=U,oe=F*z,ie=I*z,j=B*z*P,ee=N*z*P;break;case 3:j=B,ee=N,re=O*L,ce=U*L,oe=F*L*z,ie=I*L*z;break;case 2:j=B,ee=N,oe=F*L,ie=I*L,re=O*L*P,ce=U*L*P;break;case 1:oe=F,ie=I,re=O*P,ce=U*P,j=B*P*z,ee=N*P*z;break;default:oe=F,ie=I,j=B*P,ee=N*P,re=O*P*L,ce=U*P*L;break}var be=b[oe+j+re],Ae=b[oe+j+ce],ze=b[oe+ee+re],Re=b[oe+ee+ce],Xe=b[ie+j+re],it=b[ie+j+ce],ot=b[ie+ee+re],tt=b[ie+ee+ce],lt=o.create(),Ee=o.create(),_e=o.create(),fe=o.create();o.lerp(lt,be,Xe,$),o.lerp(Ee,Ae,it,$),o.lerp(_e,ze,ot,$),o.lerp(fe,Re,tt,$);var Fe=o.create(),rt=o.create();o.lerp(Fe,lt,_e,J),o.lerp(rt,Ee,fe,J);var st=o.create();return o.lerp(st,Fe,rt,X),st},v=function(S,E){var y=E[0],b=E[1],p=E[2];return S[0]=y<0?-y:y,S[1]=b<0?-b:b,S[2]=p<0?-p:p,S},T=function(S){var E=1/0;S.sort(function(u,m){return u-m});for(var y=S.length,b=1;b<y;b++){var p=Math.abs(S[b]-S[b-1]);p<E&&(E=p)}return E},l=function(S){for(var E=[],y=[],b=[],p={},u={},m={},h=S.length,P=0;P<h;P++){var L=S[P],z=L[0],F=L[1],B=L[2];p[z]||(E.push(z),p[z]=!0),u[F]||(y.push(F),u[F]=!0),m[B]||(b.push(B),m[B]=!0)}var O=T(E),I=T(y),N=T(b),U=Math.min(O,I,N);return isFinite(U)?U:1};e.exports=function(S,E){var y=S.startingPositions,b=S.maxLength||1e3,p=S.tubeSize||1,u=S.absoluteTubeSize,m=S.gridFill||\"+x+y+z\",h={};m.indexOf(\"-x\")!==-1&&(h.reversedX=!0),m.indexOf(\"-y\")!==-1&&(h.reversedY=!0),m.indexOf(\"-z\")!==-1&&(h.reversedZ=!0),h.filled=i.indexOf(m.replace(/-/g,\"\").replace(/\\+/g,\"\"));var P=S.getVelocity||function(it){return g(it,S,h)},L=S.getDivergence||function(it,ot){var tt=o.create(),lt=1e-4;o.add(tt,it,[lt,0,0]);var Ee=P(tt);o.subtract(Ee,Ee,ot),o.scale(Ee,Ee,1/lt),o.add(tt,it,[0,lt,0]);var _e=P(tt);o.subtract(_e,_e,ot),o.scale(_e,_e,1/lt),o.add(tt,it,[0,0,lt]);var fe=P(tt);return o.subtract(fe,fe,ot),o.scale(fe,fe,1/lt),o.add(tt,Ee,_e),o.add(tt,tt,fe),tt},z=[],F=E[0][0],B=E[0][1],O=E[0][2],I=E[1][0],N=E[1][1],U=E[1][2],W=function(it){var ot=it[0],tt=it[1],lt=it[2];return!(ot<F||ot>I||tt<B||tt>N||lt<O||lt>U)},Q=o.distance(E[0],E[1]),ue=10*Q/b,le=ue*ue,he=1,G=0,$=y.length;$>1&&(he=l(y));for(var J=0;J<$;J++){var X=o.create();o.copy(X,y[J]);var oe=[X],ie=[],j=P(X),ee=X;ie.push(j);var re=[],ce=L(X,j),be=o.length(ce);isFinite(be)&&be>G&&(G=be),re.push(be),z.push({points:oe,velocities:ie,divergences:re});for(var Ae=0;Ae<b*100&&oe.length<b&&W(X);){Ae++;var ze=o.clone(j),Re=o.squaredLength(ze);if(Re===0)break;if(Re>le&&o.scale(ze,ze,ue/Math.sqrt(Re)),o.add(ze,ze,X),j=P(ze),o.squaredDistance(ee,ze)-le>-1e-4*le){oe.push(ze),ee=ze,ie.push(j);var ce=L(ze,j),be=o.length(ce);isFinite(be)&&be>G&&(G=be),re.push(be)}X=ze}}var Xe=s(z,S.colormap,G,he);return u?Xe.tubeScale=u:(G===0&&(G=1),Xe.tubeScale=p*.5*he/G),Xe};var _=r(6740),w=r(6405).createMesh;e.exports.createTubeMesh=function(S,E){return w(S,E,{shaders:_,traceType:\"streamtube\"})}},990:function(e,t,r){var o=r(9405),a=r(3236),i=a([`precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\n  vec4 clipPosition = projection * (view * worldPosition);\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n`]),n=a([`precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color \\u2014 in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n`]),s=a([`precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\n\n  vec4 clipPosition = projection * (view * worldPosition);\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n`]),c=a([`precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n`]);t.createShader=function(f){var g=o(f,i,n,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return g.attributes.uv.location=0,g.attributes.f.location=1,g.attributes.normal.location=2,g},t.createPickShader=function(f){var g=o(f,i,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return g.attributes.uv.location=0,g.attributes.f.location=1,g.attributes.normal.location=2,g},t.createContourShader=function(f){var g=o(f,s,n,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return g.attributes.uv.location=0,g.attributes.f.location=1,g},t.createPickContourShader=function(f){var g=o(f,s,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return g.attributes.uv.location=0,g.attributes.f.location=1,g}},9499:function(e,t,r){\"use strict\";e.exports=oe;var o=r(8828),a=r(2762),i=r(8116),n=r(7766),s=r(1888),c=r(6729),f=r(5298),g=r(9994),v=r(9618),T=r(3711),l=r(6760),_=r(7608),w=r(2478),S=r(6199),E=r(990),y=E.createShader,b=E.createContourShader,p=E.createPickShader,u=E.createPickContourShader,m=4*10,h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],L=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];(function(){for(var ie=0;ie<3;++ie){var j=L[ie],ee=(ie+1)%3,re=(ie+2)%3;j[ee+0]=1,j[re+3]=1,j[ie+6]=1}})();function z(ie,j,ee,re,ce){this.position=ie,this.index=j,this.uv=ee,this.level=re,this.dataCoordinate=ce}var F=256;function B(ie,j,ee,re,ce,be,Ae,ze,Re,Xe,it,ot,tt,lt,Ee){this.gl=ie,this.shape=j,this.bounds=ee,this.objectOffset=Ee,this.intensityBounds=[],this._shader=re,this._pickShader=ce,this._coordinateBuffer=be,this._vao=Ae,this._colorMap=ze,this._contourShader=Re,this._contourPickShader=Xe,this._contourBuffer=it,this._contourVAO=ot,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new z([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=tt,this._dynamicVAO=lt,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[v(s.mallocFloat(1024),[0,0]),v(s.mallocFloat(1024),[0,0]),v(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var O=B.prototype;O.genColormap=function(ie,j){var ee=!1,re=g([c({colormap:ie,nshades:F,format:\"rgba\"}).map(function(ce,be){var Ae=j?I(be/255,j):ce[3];return Ae<1&&(ee=!0),[ce[0],ce[1],ce[2],255*Ae]})]);return f.divseq(re,255),this.hasAlphaScale=ee,re},O.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},O.isOpaque=function(){return!this.isTransparent()},O.pickSlots=1,O.setPickBase=function(ie){this.pickId=ie};function I(ie,j){if(!j||!j.length)return 1;for(var ee=0;ee<j.length;++ee){if(j.length<2)return 1;if(j[ee][0]===ie)return j[ee][1];if(j[ee][0]>ie&&ee>0){var re=(j[ee][0]-ie)/(j[ee][0]-j[ee-1][0]);return j[ee][1]*(1-re)+re*j[ee-1][1]}}return 1}var N=[0,0,0],U={showSurface:!1,showContour:!1,projections:[h.slice(),h.slice(),h.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function W(ie,j){var ee,re,ce,be=j.axes&&j.axes.lastCubeProps.axis||N,Ae=j.showSurface,ze=j.showContour;for(ee=0;ee<3;++ee)for(Ae=Ae||j.surfaceProject[ee],re=0;re<3;++re)ze=ze||j.contourProject[ee][re];for(ee=0;ee<3;++ee){var Re=U.projections[ee];for(re=0;re<16;++re)Re[re]=0;for(re=0;re<4;++re)Re[5*re]=1;Re[5*ee]=0,Re[12+ee]=j.axesBounds[+(be[ee]>0)][ee],l(Re,ie.model,Re);var Xe=U.clipBounds[ee];for(ce=0;ce<2;++ce)for(re=0;re<3;++re)Xe[ce][re]=ie.clipBounds[ce][re];Xe[0][ee]=-1e8,Xe[1][ee]=1e8}return U.showSurface=Ae,U.showContour=ze,U}var Q={model:h,view:h,projection:h,inverseModel:h.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},ue=h.slice(),le=[1,0,0,0,1,0,0,0,1];function he(ie,j){ie=ie||{};var ee=this.gl;ee.disable(ee.CULL_FACE),this._colorMap.bind(0);var re=Q;re.model=ie.model||h,re.view=ie.view||h,re.projection=ie.projection||h,re.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],re.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],re.objectOffset=this.objectOffset,re.contourColor=this.contourColor[0],re.inverseModel=_(re.inverseModel,re.model);for(var ce=0;ce<2;++ce)for(var be=re.clipBounds[ce],Ae=0;Ae<3;++Ae)be[Ae]=Math.min(Math.max(this.clipBounds[ce][Ae],-1e8),1e8);re.kambient=this.ambientLight,re.kdiffuse=this.diffuseLight,re.kspecular=this.specularLight,re.roughness=this.roughness,re.fresnel=this.fresnel,re.opacity=this.opacity,re.height=0,re.permutation=le,re.vertexColor=this.vertexColor;var ze=ue;for(l(ze,re.view,re.model),l(ze,re.projection,ze),_(ze,ze),ce=0;ce<3;++ce)re.eyePosition[ce]=ze[12+ce]/ze[15];var Re=ze[15];for(ce=0;ce<3;++ce)Re+=this.lightPosition[ce]*ze[4*ce+3];for(ce=0;ce<3;++ce){var Xe=ze[12+ce];for(Ae=0;Ae<3;++Ae)Xe+=ze[4*Ae+ce]*this.lightPosition[Ae];re.lightPosition[ce]=Xe/Re}var it=W(re,this);if(it.showSurface){for(this._shader.bind(),this._shader.uniforms=re,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(ee.TRIANGLES,this._vertexCount),ce=0;ce<3;++ce)!this.surfaceProject[ce]||!this.vertexCount||(this._shader.uniforms.model=it.projections[ce],this._shader.uniforms.clipBounds=it.clipBounds[ce],this._vao.draw(ee.TRIANGLES,this._vertexCount));this._vao.unbind()}if(it.showContour){var ot=this._contourShader;re.kambient=1,re.kdiffuse=0,re.kspecular=0,re.opacity=1,ot.bind(),ot.uniforms=re;var tt=this._contourVAO;for(tt.bind(),ce=0;ce<3;++ce)for(ot.uniforms.permutation=L[ce],ee.lineWidth(this.contourWidth[ce]*this.pixelRatio),Ae=0;Ae<this.contourLevels[ce].length;++Ae)Ae===this.highlightLevel[ce]?(ot.uniforms.contourColor=this.highlightColor[ce],ot.uniforms.contourTint=this.highlightTint[ce]):(Ae===0||Ae-1===this.highlightLevel[ce])&&(ot.uniforms.contourColor=this.contourColor[ce],ot.uniforms.contourTint=this.contourTint[ce]),this._contourCounts[ce][Ae]&&(ot.uniforms.height=this.contourLevels[ce][Ae],tt.draw(ee.LINES,this._contourCounts[ce][Ae],this._contourOffsets[ce][Ae]));for(ce=0;ce<3;++ce)for(ot.uniforms.model=it.projections[ce],ot.uniforms.clipBounds=it.clipBounds[ce],Ae=0;Ae<3;++Ae)if(this.contourProject[ce][Ae]){ot.uniforms.permutation=L[Ae],ee.lineWidth(this.contourWidth[Ae]*this.pixelRatio);for(var lt=0;lt<this.contourLevels[Ae].length;++lt)lt===this.highlightLevel[Ae]?(ot.uniforms.contourColor=this.highlightColor[Ae],ot.uniforms.contourTint=this.highlightTint[Ae]):(lt===0||lt-1===this.highlightLevel[Ae])&&(ot.uniforms.contourColor=this.contourColor[Ae],ot.uniforms.contourTint=this.contourTint[Ae]),this._contourCounts[Ae][lt]&&(ot.uniforms.height=this.contourLevels[Ae][lt],tt.draw(ee.LINES,this._contourCounts[Ae][lt],this._contourOffsets[Ae][lt]))}for(tt.unbind(),tt=this._dynamicVAO,tt.bind(),ce=0;ce<3;++ce)if(this._dynamicCounts[ce]!==0)for(ot.uniforms.model=re.model,ot.uniforms.clipBounds=re.clipBounds,ot.uniforms.permutation=L[ce],ee.lineWidth(this.dynamicWidth[ce]*this.pixelRatio),ot.uniforms.contourColor=this.dynamicColor[ce],ot.uniforms.contourTint=this.dynamicTint[ce],ot.uniforms.height=this.dynamicLevel[ce],tt.draw(ee.LINES,this._dynamicCounts[ce],this._dynamicOffsets[ce]),Ae=0;Ae<3;++Ae)this.contourProject[Ae][ce]&&(ot.uniforms.model=it.projections[Ae],ot.uniforms.clipBounds=it.clipBounds[Ae],tt.draw(ee.LINES,this._dynamicCounts[ce],this._dynamicOffsets[ce]));tt.unbind()}}O.draw=function(ie){return he.call(this,ie,!1)},O.drawTransparent=function(ie){return he.call(this,ie,!0)};var G={model:h,view:h,projection:h,inverseModel:h,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};O.drawPick=function(ie){ie=ie||{};var j=this.gl;j.disable(j.CULL_FACE);var ee=G;ee.model=ie.model||h,ee.view=ie.view||h,ee.projection=ie.projection||h,ee.shape=this._field[2].shape,ee.pickId=this.pickId/255,ee.lowerBound=this.bounds[0],ee.upperBound=this.bounds[1],ee.objectOffset=this.objectOffset,ee.permutation=le;for(var re=0;re<2;++re)for(var ce=ee.clipBounds[re],be=0;be<3;++be)ce[be]=Math.min(Math.max(this.clipBounds[re][be],-1e8),1e8);var Ae=W(ee,this);if(Ae.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=ee,this._vao.bind(),this._vao.draw(j.TRIANGLES,this._vertexCount),re=0;re<3;++re)this.surfaceProject[re]&&(this._pickShader.uniforms.model=Ae.projections[re],this._pickShader.uniforms.clipBounds=Ae.clipBounds[re],this._vao.draw(j.TRIANGLES,this._vertexCount));this._vao.unbind()}if(Ae.showContour){var ze=this._contourPickShader;ze.bind(),ze.uniforms=ee;var Re=this._contourVAO;for(Re.bind(),be=0;be<3;++be)for(j.lineWidth(this.contourWidth[be]*this.pixelRatio),ze.uniforms.permutation=L[be],re=0;re<this.contourLevels[be].length;++re)this._contourCounts[be][re]&&(ze.uniforms.height=this.contourLevels[be][re],Re.draw(j.LINES,this._contourCounts[be][re],this._contourOffsets[be][re]));for(re=0;re<3;++re)for(ze.uniforms.model=Ae.projections[re],ze.uniforms.clipBounds=Ae.clipBounds[re],be=0;be<3;++be)if(this.contourProject[re][be]){ze.uniforms.permutation=L[be],j.lineWidth(this.contourWidth[be]*this.pixelRatio);for(var Xe=0;Xe<this.contourLevels[be].length;++Xe)this._contourCounts[be][Xe]&&(ze.uniforms.height=this.contourLevels[be][Xe],Re.draw(j.LINES,this._contourCounts[be][Xe],this._contourOffsets[be][Xe]))}Re.unbind()}},O.pick=function(ie){if(!ie||ie.id!==this.pickId)return null;var j=this._field[2].shape,ee=this._pickResult,re=j[0]*(ie.value[0]+(ie.value[2]>>4)/16)/255,ce=Math.floor(re),be=re-ce,Ae=j[1]*(ie.value[1]+(ie.value[2]&15)/16)/255,ze=Math.floor(Ae),Re=Ae-ze;ce+=1,ze+=1;var Xe=ee.position;Xe[0]=Xe[1]=Xe[2]=0;for(var it=0;it<2;++it)for(var ot=it?be:1-be,tt=0;tt<2;++tt)for(var lt=tt?Re:1-Re,Ee=ce+it,_e=ze+tt,fe=ot*lt,Fe=0;Fe<3;++Fe)Xe[Fe]+=this._field[Fe].get(Ee,_e)*fe;for(var rt=this._pickResult.level,st=0;st<3;++st)if(rt[st]=w.le(this.contourLevels[st],Xe[st]),rt[st]<0)this.contourLevels[st].length>0&&(rt[st]=0);else if(rt[st]<this.contourLevels[st].length-1){var Qe=this.contourLevels[st][rt[st]],Lt=this.contourLevels[st][rt[st]+1];Math.abs(Qe-Xe[st])>Math.abs(Lt-Xe[st])&&(rt[st]+=1)}for(ee.index[0]=be<.5?ce:ce+1,ee.index[1]=Re<.5?ze:ze+1,ee.uv[0]=re/j[0],ee.uv[1]=Ae/j[1],Fe=0;Fe<3;++Fe)ee.dataCoordinate[Fe]=this._field[Fe].get(ee.index[0],ee.index[1]);return ee},O.padField=function(ie,j){var ee=j.shape.slice(),re=ie.shape.slice();f.assign(ie.lo(1,1).hi(ee[0],ee[1]),j),f.assign(ie.lo(1).hi(ee[0],1),j.hi(ee[0],1)),f.assign(ie.lo(1,re[1]-1).hi(ee[0],1),j.lo(0,ee[1]-1).hi(ee[0],1)),f.assign(ie.lo(0,1).hi(1,ee[1]),j.hi(1)),f.assign(ie.lo(re[0]-1,1).hi(1,ee[1]),j.lo(ee[0]-1)),ie.set(0,0,j.get(0,0)),ie.set(0,re[1]-1,j.get(0,ee[1]-1)),ie.set(re[0]-1,0,j.get(ee[0]-1,0)),ie.set(re[0]-1,re[1]-1,j.get(ee[0]-1,ee[1]-1))};function $(ie,j){return Array.isArray(ie)?[j(ie[0]),j(ie[1]),j(ie[2])]:[j(ie),j(ie),j(ie)]}function J(ie){return Array.isArray(ie)?ie.length===3?[ie[0],ie[1],ie[2],1]:[ie[0],ie[1],ie[2],ie[3]]:[0,0,0,1]}function X(ie){if(Array.isArray(ie)){if(Array.isArray(ie))return[J(ie[0]),J(ie[1]),J(ie[2])];var j=J(ie);return[j.slice(),j.slice(),j.slice()]}}O.update=function(ie){ie=ie||{},this.objectOffset=ie.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in ie&&(this.contourWidth=$(ie.contourWidth,Number)),\"showContour\"in ie&&(this.showContour=$(ie.showContour,Boolean)),\"showSurface\"in ie&&(this.showSurface=!!ie.showSurface),\"contourTint\"in ie&&(this.contourTint=$(ie.contourTint,Boolean)),\"contourColor\"in ie&&(this.contourColor=X(ie.contourColor)),\"contourProject\"in ie&&(this.contourProject=$(ie.contourProject,function(mi){return $(mi,Boolean)})),\"surfaceProject\"in ie&&(this.surfaceProject=ie.surfaceProject),\"dynamicColor\"in ie&&(this.dynamicColor=X(ie.dynamicColor)),\"dynamicTint\"in ie&&(this.dynamicTint=$(ie.dynamicTint,Number)),\"dynamicWidth\"in ie&&(this.dynamicWidth=$(ie.dynamicWidth,Number)),\"opacity\"in ie&&(this.opacity=ie.opacity),\"opacityscale\"in ie&&(this.opacityscale=ie.opacityscale),\"colorBounds\"in ie&&(this.colorBounds=ie.colorBounds),\"vertexColor\"in ie&&(this.vertexColor=ie.vertexColor?1:0),\"colormap\"in ie&&this._colorMap.setPixels(this.genColormap(ie.colormap,this.opacityscale));var j=ie.field||ie.coords&&ie.coords[2]||null,ee=!1;if(j||(this._field[2].shape[0]||this._field[2].shape[2]?j=this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):j=this._field[2].hi(0,0)),\"field\"in ie||\"coords\"in ie){var re=(j.shape[0]+2)*(j.shape[1]+2);re>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(o.nextPow2(re))),this._field[2]=v(this._field[2].data,[j.shape[0]+2,j.shape[1]+2]),this.padField(this._field[2],j),this.shape=j.shape.slice();for(var ce=this.shape,be=0;be<2;++be)this._field[2].size>this._field[be].data.length&&(s.freeFloat(this._field[be].data),this._field[be].data=s.mallocFloat(this._field[2].size)),this._field[be]=v(this._field[be].data,[ce[0]+2,ce[1]+2]);if(ie.coords){var Ae=ie.coords;if(!Array.isArray(Ae)||Ae.length!==3)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(be=0;be<2;++be){var ze=Ae[be];for(tt=0;tt<2;++tt)if(ze.shape[tt]!==ce[tt])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[be],ze)}}else if(ie.ticks){var Re=ie.ticks;if(!Array.isArray(Re)||Re.length!==2)throw new Error(\"gl-surface: invalid ticks\");for(be=0;be<2;++be){var Xe=Re[be];if((Array.isArray(Xe)||Xe.length)&&(Xe=v(Xe)),Xe.shape[0]!==ce[be])throw new Error(\"gl-surface: invalid tick length\");var it=v(Xe.data,ce);it.stride[be]=Xe.stride[0],it.stride[be^1]=0,this.padField(this._field[be],it)}}else{for(be=0;be<2;++be){var ot=[0,0];ot[be]=1,this._field[be]=v(this._field[be].data,[ce[0]+2,ce[1]+2],ot,0)}this._field[0].set(0,0,0);for(var tt=0;tt<ce[0];++tt)this._field[0].set(tt+1,0,tt);for(this._field[0].set(ce[0]+1,0,ce[0]-1),this._field[1].set(0,0,0),tt=0;tt<ce[1];++tt)this._field[1].set(0,tt+1,tt);this._field[1].set(0,ce[1]+1,ce[1]-1)}var lt=this._field,Ee=v(s.mallocFloat(lt[2].size*3*2),[3,ce[0]+2,ce[1]+2,2]);for(be=0;be<3;++be)S(Ee.pick(be),lt[be],\"mirror\");var _e=v(s.mallocFloat(lt[2].size*3),[ce[0]+2,ce[1]+2,3]);for(be=0;be<ce[0]+2;++be)for(tt=0;tt<ce[1]+2;++tt){var fe=Ee.get(0,be,tt,0),Fe=Ee.get(0,be,tt,1),rt=Ee.get(1,be,tt,0),st=Ee.get(1,be,tt,1),Qe=Ee.get(2,be,tt,0),Lt=Ee.get(2,be,tt,1),kt=rt*Lt-st*Qe,Vt=Qe*Fe-Lt*fe,Zt=fe*st-Fe*rt,Sr=Math.sqrt(kt*kt+Vt*Vt+Zt*Zt);Sr<1e-8?(Sr=Math.max(Math.abs(kt),Math.abs(Vt),Math.abs(Zt)),Sr<1e-8?(Zt=1,Vt=kt=0,Sr=1):Sr=1/Sr):Sr=1/Math.sqrt(Sr),_e.set(be,tt,0,kt*Sr),_e.set(be,tt,1,Vt*Sr),_e.set(be,tt,2,Zt*Sr)}s.free(Ee.data);var xr=[1/0,1/0,1/0],jr=[-1/0,-1/0,-1/0],wr=1/0,Ir=-1/0,bt=(ce[0]-1)*(ce[1]-1)*6,Be=s.mallocFloat(o.nextPow2(10*bt)),Ke=0,Ue=0;for(be=0;be<ce[0]-1;++be)e:for(tt=0;tt<ce[1]-1;++tt){for(var Me=0;Me<2;++Me)for(var qe=0;qe<2;++qe)for(var Ce=0;Ce<3;++Ce){var Te=this._field[Ce].get(1+be+Me,1+tt+qe);if(isNaN(Te)||!isFinite(Te))continue e}for(Ce=0;Ce<6;++Ce){var Pe=be+P[Ce][0],at=tt+P[Ce][1],yt=this._field[0].get(Pe+1,at+1),Tt=this._field[1].get(Pe+1,at+1);Te=this._field[2].get(Pe+1,at+1),kt=_e.get(Pe+1,at+1,0),Vt=_e.get(Pe+1,at+1,1),Zt=_e.get(Pe+1,at+1,2),ie.intensity&&(Ot=ie.intensity.get(Pe,at));var Ot=ie.intensity?ie.intensity.get(Pe,at):Te+this.objectOffset[2];Be[Ke++]=Pe,Be[Ke++]=at,Be[Ke++]=yt,Be[Ke++]=Tt,Be[Ke++]=Te,Be[Ke++]=0,Be[Ke++]=Ot,Be[Ke++]=kt,Be[Ke++]=Vt,Be[Ke++]=Zt,xr[0]=Math.min(xr[0],yt+this.objectOffset[0]),xr[1]=Math.min(xr[1],Tt+this.objectOffset[1]),xr[2]=Math.min(xr[2],Te+this.objectOffset[2]),wr=Math.min(wr,Ot),jr[0]=Math.max(jr[0],yt+this.objectOffset[0]),jr[1]=Math.max(jr[1],Tt+this.objectOffset[1]),jr[2]=Math.max(jr[2],Te+this.objectOffset[2]),Ir=Math.max(Ir,Ot),Ue+=1}}for(ie.intensityBounds&&(wr=+ie.intensityBounds[0],Ir=+ie.intensityBounds[1]),be=6;be<Ke;be+=10)Be[be]=(Be[be]-wr)/(Ir-wr);this._vertexCount=Ue,this._coordinateBuffer.update(Be.subarray(0,Ke)),s.freeFloat(Be),s.free(_e.data),this.bounds=[xr,jr],this.intensity=ie.intensity||this._field[2],(this.intensityBounds[0]!==wr||this.intensityBounds[1]!==Ir)&&(ee=!0),this.intensityBounds=[wr,Ir]}if(\"levels\"in ie){var Gt=ie.levels;for(Array.isArray(Gt[0])?Gt=Gt.slice():Gt=[[],[],Gt],be=0;be<3;++be)Gt[be]=Gt[be].slice(),Gt[be].sort(function(mi,xt){return mi-xt});for(be=0;be<3;++be)for(tt=0;tt<Gt[be].length;++tt)Gt[be][tt]-=this.objectOffset[be];e:for(be=0;be<3;++be){if(Gt[be].length!==this.contourLevels[be].length){ee=!0;break}for(tt=0;tt<Gt[be].length;++tt)if(Gt[be][tt]!==this.contourLevels[be][tt]){ee=!0;break e}}this.contourLevels=Gt}if(ee){lt=this._field,ce=this.shape;for(var rr=[],Qt=0;Qt<3;++Qt){var Tr=this.contourLevels[Qt],la=[],Ua=[],Ba=[0,0,0];for(be=0;be<Tr.length;++be){var Ra=T(this._field[Qt],Tr[be]);la.push(rr.length/5|0),Ue=0;e:for(tt=0;tt<Ra.cells.length;++tt){var ei=Ra.cells[tt];for(Ce=0;Ce<2;++Ce){var za=Ra.positions[ei[Ce]],ti=za[0],Ci=Math.floor(ti)|0,Jt=ti-Ci,Nt=za[1],Kt=Math.floor(Nt)|0,Wt=Nt-Kt,Pr=!1;t:for(var ta=0;ta<3;++ta){Ba[ta]=0;var ma=(Qt+ta+1)%3;for(Me=0;Me<2;++Me){var ra=Me?Jt:1-Jt;for(Pe=Math.min(Math.max(Ci+Me,0),ce[0])|0,qe=0;qe<2;++qe){var Ia=qe?Wt:1-Wt;if(at=Math.min(Math.max(Kt+qe,0),ce[1])|0,ta<2?Te=this._field[ma].get(Pe,at):Te=(this.intensity.get(Pe,at)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Te)||isNaN(Te)){Pr=!0;break t}var Ha=ra*Ia;Ba[ta]+=Ha*Te}}}if(!Pr)rr.push(Ba[0],Ba[1],za[0],za[1],Ba[2]),Ue+=1;else{if(Ce>0){for(var $a=0;$a<5;++$a)rr.pop();Ue-=1}continue e}}}Ua.push(Ue)}this._contourOffsets[Qt]=la,this._contourCounts[Qt]=Ua}var ai=s.mallocFloat(rr.length);for(be=0;be<rr.length;++be)ai[be]=rr[be];this._contourBuffer.update(ai),s.freeFloat(ai)}},O.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var ie=0;ie<3;++ie)s.freeFloat(this._field[ie].data)},O.highlight=function(ie){var j;if(!ie){this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],this.highlightLevel=[-1,-1,-1];return}for(j=0;j<3;++j)this.enableHighlight[j]?this.highlightLevel[j]=ie.level[j]:this.highlightLevel[j]=-1;var ee;for(this.snapToData?ee=ie.dataCoordinate:ee=ie.position,j=0;j<3;++j)ee[j]-=this.objectOffset[j];if(!((!this.enableDynamic[0]||ee[0]===this.dynamicLevel[0])&&(!this.enableDynamic[1]||ee[1]===this.dynamicLevel[1])&&(!this.enableDynamic[2]||ee[2]===this.dynamicLevel[2]))){for(var re=0,ce=this.shape,be=s.mallocFloat(12*ce[0]*ce[1]),Ae=0;Ae<3;++Ae){if(!this.enableDynamic[Ae]){this.dynamicLevel[Ae]=NaN,this._dynamicCounts[Ae]=0;continue}this.dynamicLevel[Ae]=ee[Ae];var ze=(Ae+1)%3,Re=(Ae+2)%3,Xe=this._field[Ae],it=this._field[ze],ot=this._field[Re],tt=T(Xe,ee[Ae]),lt=tt.cells,Ee=tt.positions;for(this._dynamicOffsets[Ae]=re,j=0;j<lt.length;++j)for(var _e=lt[j],fe=0;fe<2;++fe){var Fe=Ee[_e[fe]],rt=+Fe[0],st=rt|0,Qe=Math.min(st+1,ce[0])|0,Lt=rt-st,kt=1-Lt,Vt=+Fe[1],Zt=Vt|0,Sr=Math.min(Zt+1,ce[1])|0,xr=Vt-Zt,jr=1-xr,wr=kt*jr,Ir=kt*xr,bt=Lt*jr,Be=Lt*xr,Ke=wr*it.get(st,Zt)+Ir*it.get(st,Sr)+bt*it.get(Qe,Zt)+Be*it.get(Qe,Sr),Ue=wr*ot.get(st,Zt)+Ir*ot.get(st,Sr)+bt*ot.get(Qe,Zt)+Be*ot.get(Qe,Sr);if(isNaN(Ke)||isNaN(Ue)){fe&&(re-=1);break}be[2*re+0]=Ke,be[2*re+1]=Ue,re+=1}this._dynamicCounts[Ae]=re-this._dynamicOffsets[Ae]}this._dynamicBuffer.update(be.subarray(0,2*re)),s.freeFloat(be)}};function oe(ie){var j=ie.gl,ee=y(j),re=p(j),ce=b(j),be=u(j),Ae=a(j),ze=i(j,[{buffer:Ae,size:4,stride:m,offset:0},{buffer:Ae,size:3,stride:m,offset:16},{buffer:Ae,size:3,stride:m,offset:28}]),Re=a(j),Xe=i(j,[{buffer:Re,size:4,stride:20,offset:0},{buffer:Re,size:1,stride:20,offset:16}]),it=a(j),ot=i(j,[{buffer:it,size:2,type:j.FLOAT}]),tt=n(j,1,F,j.RGBA,j.UNSIGNED_BYTE);tt.minFilter=j.LINEAR,tt.magFilter=j.LINEAR;var lt=new B(j,[0,0],[[0,0,0],[0,0,0]],ee,re,Ae,ze,tt,ce,be,Re,Xe,it,ot,[0,0,0]),Ee={levels:[[],[],[]]};for(var _e in ie)Ee[_e]=ie[_e];return Ee.colormap=Ee.colormap||\"jet\",lt.update(Ee),lt}},7766:function(e,t,r){\"use strict\";var o=r(9618),a=r(5298),i=r(1888);e.exports=u;var n=null,s=null,c=null;function f(m){n=[m.LINEAR,m.NEAREST_MIPMAP_LINEAR,m.LINEAR_MIPMAP_NEAREST,m.LINEAR_MIPMAP_NEAREST],s=[m.NEAREST,m.LINEAR,m.NEAREST_MIPMAP_NEAREST,m.NEAREST_MIPMAP_LINEAR,m.LINEAR_MIPMAP_NEAREST,m.LINEAR_MIPMAP_LINEAR],c=[m.REPEAT,m.CLAMP_TO_EDGE,m.MIRRORED_REPEAT]}function g(m){return typeof HTMLCanvasElement<\"u\"&&m instanceof HTMLCanvasElement||typeof HTMLImageElement<\"u\"&&m instanceof HTMLImageElement||typeof HTMLVideoElement<\"u\"&&m instanceof HTMLVideoElement||typeof ImageData<\"u\"&&m instanceof ImageData}var v=function(m,h){a.muls(m,h,255)};function T(m,h,P){var L=m.gl,z=L.getParameter(L.MAX_TEXTURE_SIZE);if(h<0||h>z||P<0||P>z)throw new Error(\"gl-texture2d: Invalid texture size\");return m._shape=[h,P],m.bind(),L.texImage2D(L.TEXTURE_2D,0,m.format,h,P,0,m.format,m.type,null),m._mipLevels=[0],m}function l(m,h,P,L,z,F){this.gl=m,this.handle=h,this.format=z,this.type=F,this._shape=[P,L],this._mipLevels=[0],this._magFilter=m.NEAREST,this._minFilter=m.NEAREST,this._wrapS=m.CLAMP_TO_EDGE,this._wrapT=m.CLAMP_TO_EDGE,this._anisoSamples=1;var B=this,O=[this._wrapS,this._wrapT];Object.defineProperties(O,[{get:function(){return B._wrapS},set:function(N){return B.wrapS=N}},{get:function(){return B._wrapT},set:function(N){return B.wrapT=N}}]),this._wrapVector=O;var I=[this._shape[0],this._shape[1]];Object.defineProperties(I,[{get:function(){return B._shape[0]},set:function(N){return B.width=N}},{get:function(){return B._shape[1]},set:function(N){return B.height=N}}]),this._shapeVector=I}var _=l.prototype;Object.defineProperties(_,{minFilter:{get:function(){return this._minFilter},set:function(m){this.bind();var h=this.gl;if(this.type===h.FLOAT&&n.indexOf(m)>=0&&(h.getExtension(\"OES_texture_float_linear\")||(m=h.NEAREST)),s.indexOf(m)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+m);return h.texParameteri(h.TEXTURE_2D,h.TEXTURE_MIN_FILTER,m),this._minFilter=m}},magFilter:{get:function(){return this._magFilter},set:function(m){this.bind();var h=this.gl;if(this.type===h.FLOAT&&n.indexOf(m)>=0&&(h.getExtension(\"OES_texture_float_linear\")||(m=h.NEAREST)),s.indexOf(m)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+m);return h.texParameteri(h.TEXTURE_2D,h.TEXTURE_MAG_FILTER,m),this._magFilter=m}},mipSamples:{get:function(){return this._anisoSamples},set:function(m){var h=this._anisoSamples;if(this._anisoSamples=Math.max(m,1)|0,h!==this._anisoSamples){var P=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");P&&this.gl.texParameterf(this.gl.TEXTURE_2D,P.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(m){if(this.bind(),c.indexOf(m)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+m);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,m),this._wrapS=m}},wrapT:{get:function(){return this._wrapT},set:function(m){if(this.bind(),c.indexOf(m)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+m);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,m),this._wrapT=m}},wrap:{get:function(){return this._wrapVector},set:function(m){if(Array.isArray(m)||(m=[m,m]),m.length!==2)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var h=0;h<2;++h)if(c.indexOf(m[h])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+m);this._wrapS=m[0],this._wrapT=m[1];var P=this.gl;return this.bind(),P.texParameteri(P.TEXTURE_2D,P.TEXTURE_WRAP_S,this._wrapS),P.texParameteri(P.TEXTURE_2D,P.TEXTURE_WRAP_T,this._wrapT),m}},shape:{get:function(){return this._shapeVector},set:function(m){if(!Array.isArray(m))m=[m|0,m|0];else if(m.length!==2)throw new Error(\"gl-texture2d: Invalid texture shape\");return T(this,m[0]|0,m[1]|0),[m[0]|0,m[1]|0]}},width:{get:function(){return this._shape[0]},set:function(m){return m=m|0,T(this,m,this._shape[1]),m}},height:{get:function(){return this._shape[1]},set:function(m){return m=m|0,T(this,this._shape[0],m),m}}}),_.bind=function(m){var h=this.gl;return m!==void 0&&h.activeTexture(h.TEXTURE0+(m|0)),h.bindTexture(h.TEXTURE_2D,this.handle),m!==void 0?m|0:h.getParameter(h.ACTIVE_TEXTURE)-h.TEXTURE0},_.dispose=function(){this.gl.deleteTexture(this.handle)},_.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var m=Math.min(this._shape[0],this._shape[1]),h=0;m>0;++h,m>>>=1)this._mipLevels.indexOf(h)<0&&this._mipLevels.push(h)},_.setPixels=function(m,h,P,L){var z=this.gl;this.bind(),Array.isArray(h)?(L=P,P=h[1]|0,h=h[0]|0):(h=h||0,P=P||0),L=L||0;var F=g(m)?m:m.raw;if(F){var 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u=(p+2)%3,m=(p+1)%3;E||(this.recalcMatrix(S),E=this.computedMatrix);var h=E[p],P=E[p+4],L=E[p+8];if(b){var F=Math.abs(h),B=Math.abs(P),O=Math.abs(L),I=Math.max(F,B,O);F===I?(h=h<0?-1:1,P=L=0):O===I?(L=L<0?-1:1,h=P=0):(P=P<0?-1:1,h=L=0)}else{var z=f(h,P,L);h/=z,P/=z,L/=z}var N=E[u],U=E[u+4],W=E[u+8],Q=N*h+U*P+W*L;N-=h*Q,U-=P*Q,W-=L*Q;var ue=f(N,U,W);N/=ue,U/=ue,W/=ue;var le=P*W-L*U,he=L*N-h*W,G=h*U-P*N,$=f(le,he,G);le/=$,he/=$,G/=$,this.center.jump(S,_e,fe,Fe),this.radius.idle(S),this.up.jump(S,h,P,L),this.right.jump(S,N,U,W);var J,X;if(p===2){var oe=E[1],ie=E[5],j=E[9],ee=oe*N+ie*U+j*W,re=oe*le+ie*he+j*G;ze<0?J=-Math.PI/2:J=Math.PI/2,X=Math.atan2(re,ee)}else{var ce=E[2],be=E[6],Ae=E[10],ze=ce*h+be*P+Ae*L,Re=ce*N+be*U+Ae*W,Xe=ce*le+be*he+Ae*G;J=Math.asin(g(ze)),X=Math.atan2(Xe,Re)}this.angle.jump(S,X,J),this.recalcMatrix(S);var it=E[2],ot=E[6],tt=E[10],lt=this.computedMatrix;a(lt,E);var 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A(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}var M=A.prototype;M.merge=function(t){for(var r=0;r<3;++r){var o=t[x[r]];if(!o.visible){this.enabled[r]=!1,this.drawSides[r]=!1;continue}this.enabled[r]=o.showspikes,this.colors[r]=d(o.spikecolor),this.drawSides[r]=o.spikesides,this.lineWidth[r]=o.spikethickness}};function e(t){var r=new A;return r.merge(t),r}q.exports=e}}),QN=Ze({\"src/plots/gl3d/layout/tick_marks.js\"(Z,q){\"use strict\";q.exports=t;var d=Wo(),x=ca(),A=[\"xaxis\",\"yaxis\",\"zaxis\"],M=[0,0,0];function e(r){for(var o=new Array(3),a=0;a<3;++a){for(var i=r[a],n=new Array(i.length),s=0;s<i.length;++s)n[s]=i[s].x;o[a]=n}return o}function t(r){for(var o=r.axesOptions,a=r.glplot.axesPixels,i=r.fullSceneLayout,n=[[],[],[]],s=0;s<3;++s){var 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d=Yh().gl_plot3d,x=d.createCamera,A=d.createScene,M=KN(),e=x2(),t=oo(),r=ca(),o=r.preserveDrawingBuffer(),a=Wo(),i=ef(),n=Qv(),s=wE(),c=N5(),f=JN(),g=$N(),v=QN(),T=Yd().applyAutorangeOptions,l,_,w=!1;function S(z,F){var B=document.createElement(\"div\"),O=z.container;this.graphDiv=z.graphDiv;var I=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");I.style.position=\"absolute\",I.style.top=I.style.left=\"0px\",I.style.width=I.style.height=\"100%\",I.style[\"z-index\"]=20,I.style[\"pointer-events\"]=\"none\",B.appendChild(I),this.svgContainer=I,B.id=z.id,B.style.position=\"absolute\",B.style.top=B.style.left=\"0px\",B.style.width=B.style.height=\"100%\",O.appendChild(B),this.fullLayout=F,this.id=z.id||\"scene\",this.fullSceneLayout=F[this.id],this.plotArgs=[[],{},{}],this.axesOptions=f(F,F[this.id]),this.spikeOptions=g(F[this.id]),this.container=B,this.staticMode=!!z.staticPlot,this.pixelRatio=this.pixelRatio||z.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=t.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=t.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var E=S.prototype;E.prepareOptions=function(){var z=this,F={canvas:z.canvas,gl:z.gl,glOptions:{preserveDrawingBuffer:o,premultipliedAlpha:!0,antialias:!0},container:z.container,axes:z.axesOptions,spikes:z.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:z.camera,pixelRatio:z.pixelRatio};if(z.staticMode){if(!_&&(l=document.createElement(\"canvas\"),_=M({canvas:l,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}),!_))throw new Error(\"error creating static canvas/context for image server\");F.gl=_,F.canvas=l}return F};var y=!0;E.tryCreatePlot=function(){var z=this,F=z.prepareOptions(),B=!0;try{z.glplot=A(F)}catch{if(z.staticMode||!y||o)B=!1;else{r.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" 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z.glplot.canvas&&(z.glplot.canvas.addEventListener(\"mouseup\",function(){N(z)}),z.glplot.canvas.addEventListener(\"touchstart\",function(){w=!0}),z.glplot.canvas.addEventListener(\"wheel\",function(U){if(B._context._scrollZoom.gl3d){if(z.camera._ortho){var W=U.deltaX>U.deltaY?1.1:.9090909090909091,Q=z.glplot.getAspectratio();z.glplot.setAspectratio({x:W*Q.x,y:W*Q.y,z:W*Q.z})}N(z)}},e?{passive:!1}:!1),z.glplot.canvas.addEventListener(\"mousemove\",function(){if(z.fullSceneLayout.dragmode!==!1&&z.camera.mouseListener.buttons!==0){var U=I();z.graphDiv.emit(\"plotly_relayouting\",U)}}),z.staticMode||z.glplot.canvas.addEventListener(\"webglcontextlost\",function(U){B&&B.emit&&B.emit(\"plotly_webglcontextlost\",{event:U,layer:z.id})},!1)),z.glplot.oncontextloss=function(){z.recoverContext()},z.glplot.onrender=function(){z.render()},!0},E.render=function(){var z=this,F=z.graphDiv,B,O=z.svgContainer,I=z.container.getBoundingClientRect();F._fullLayout._calcInverseTransform(F);var N=F._fullLayout._invScaleX,U=F._fullLayout._invScaleY,W=I.width*N,Q=I.height*U;O.setAttributeNS(null,\"viewBox\",\"0 0 \"+W+\" \"+Q),O.setAttributeNS(null,\"width\",W),O.setAttributeNS(null,\"height\",Q),v(z),z.glplot.axes.update(z.axesOptions);for(var ue=Object.keys(z.traces),le=null,he=z.glplot.selection,G=0;G<ue.length;++G)B=z.traces[ue[G]],B.data.hoverinfo!==\"skip\"&&B.handlePick(he)&&(le=B),B.setContourLevels&&B.setContourLevels();function $(Xe,it,ot){var tt=z.fullSceneLayout[Xe+\"axis\"];return tt.type!==\"log\"&&(it=tt.d2l(it)),a.hoverLabelText(tt,it,ot)}if(le!==null){var J=c(z.glplot.cameraParams,he.dataCoordinate);B=le.data;var X=F._fullData[B.index],oe=he.index,ie={xLabel:$(\"x\",he.traceCoordinate[0],B.xhoverformat),yLabel:$(\"y\",he.traceCoordinate[1],B.yhoverformat),zLabel:$(\"z\",he.traceCoordinate[2],B.zhoverformat)},j=i.castHoverinfo(X,z.fullLayout,oe),ee=(j||\"\").split(\"+\"),re=j&&j===\"all\";!X.hovertemplate&&!re&&(ee.indexOf(\"x\")===-1&&(ie.xLabel=void 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Re=[];i.loneHover({trace:X,x:(.5+.5*J[0]/J[3])*W,y:(.5-.5*J[1]/J[3])*Q,xLabel:ie.xLabel,yLabel:ie.yLabel,zLabel:ie.zLabel,text:ce,name:le.name,color:i.castHoverOption(X,oe,\"bgcolor\")||le.color,borderColor:i.castHoverOption(X,oe,\"bordercolor\"),fontFamily:i.castHoverOption(X,oe,\"font.family\"),fontSize:i.castHoverOption(X,oe,\"font.size\"),fontColor:i.castHoverOption(X,oe,\"font.color\"),nameLength:i.castHoverOption(X,oe,\"namelength\"),textAlign:i.castHoverOption(X,oe,\"align\"),hovertemplate:r.castOption(X,oe,\"hovertemplate\"),hovertemplateLabels:r.extendFlat({},Ae,ie),eventData:[Ae]},{container:O,gd:F,inOut_bbox:Re}),Ae.bbox=Re[0]}he.distance<5&&(he.buttons||w)?F.emit(\"plotly_click\",ze):F.emit(\"plotly_hover\",ze),this.oldEventData=ze}else i.loneUnhover(O),this.oldEventData&&F.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;z.drawAnnotations(z)},E.recoverContext=function(){var z=this;z.glplot.dispose();var F=function(){if(z.glplot.gl.isContextLost()){requestAnimationFrame(F);return}if(!z.initializeGLPlot()){r.error(\"Catastrophic and unrecoverable WebGL error. 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O=this;if(O.plotArgs=[z,F,B],!O.glplot.contextLost){var I,N,U,W,Q,ue,le=F[O.id],he=B[O.id];O.fullLayout=F,O.fullSceneLayout=le,O.axesOptions.merge(F,le),O.spikeOptions.merge(le),O.setViewport(le),O.updateFx(le.dragmode,le.hovermode),O.camera.enableWheel=O.graphDiv._context._scrollZoom.gl3d,O.glplot.setClearColor(n(le.bgcolor)),O.setConvert(Q),z?Array.isArray(z)||(z=[z]):z=[];var G=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(U=0;U<z.length;++U)I=z[U],!(I.visible!==!0||I._length===0)&&p(this,I,G);u(this,G);var $=[1,1,1];for(W=0;W<3;++W)G[1][W]===G[0][W]?$[W]=1:$[W]=1/(G[1][W]-G[0][W]);for(O.dataScale=$,O.convertAnnotations(this),U=0;U<z.length;++U)I=z[U],!(I.visible!==!0||I._length===0)&&(N=O.traces[I.uid],N?N.data.type===I.type?N.update(I):(N.dispose(),N=I._module.plot(this,I),O.traces[I.uid]=N):(N=I._module.plot(this,I),O.traces[I.uid]=N),N.name=I.name);var J=Object.keys(O.traces);e:for(U=0;U<J.length;++U){for(W=0;W<z.length;++W)if(z[W].uid===J[U]&&z[W].visible===!0&&z[W]._length!==0)continue 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surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:a(\"x\"),y:a(\"y\"),z:a(\"z\")},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},hoverinfo:t({},e.hoverinfo),showlegend:t({},e.showlegend,{dflt:!1})}),\"calc\",\"nested\");i.x.editType=i.y.editType=i.z.editType=\"calc+clearAxisTypes\"}}),SE=Ze({\"src/traces/surface/defaults.js\"(Z,q){\"use strict\";var d=oo(),x=ca(),A=gh(),M=mx(),e=.1;function t(i,n){for(var s=[],c=32,f=0;f<c;f++){var g=f/(c-1),v=n+(1-n)*(1-Math.pow(Math.sin(i*g*Math.PI),2));s.push([g,Math.max(0,Math.min(1,v))])}return s}function r(i){var n=0;if(!Array.isArray(i)||i.length<2||!i[0]||!i[i.length-1]||+i[0][0]!=0||+i[i.length-1][0]!=1)return!1;for(var s=0;s<i.length;s++){var c=i[s];if(c.length!==2||+c[0]<n)return!1;n=+c[0]}return!0}function o(i,n,s,c){var f,g;function v(u,m){return x.coerce(i,n,M,u,m)}var T=v(\"x\"),l=v(\"y\"),_=v(\"z\");if(!_||!_.length||T&&T.length<1||l&&l.length<1){n.visible=!1;return}n._xlength=Array.isArray(T)&&x.isArrayOrTypedArray(T[0])?_.length:_[0].length,n._ylength=_.length;var w=d.getComponentMethod(\"calendars\",\"handleTraceDefaults\");w(i,n,[\"x\",\"y\",\"z\"],c),v(\"text\"),v(\"hovertext\"),v(\"hovertemplate\"),v(\"xhoverformat\"),v(\"yhoverformat\"),v(\"zhoverformat\"),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"hidesurface\",\"connectgaps\",\"opacity\"].forEach(function(u){v(u)});var S=v(\"surfacecolor\"),E=[\"x\",\"y\",\"z\"];for(f=0;f<3;++f){var y=\"contours.\"+E[f],b=v(y+\".show\"),p=v(y+\".highlight\");if(b||p)for(g=0;g<3;++g)v(y+\".project.\"+E[g]);b&&(v(y+\".color\"),v(y+\".width\"),v(y+\".usecolormap\")),p&&(v(y+\".highlightcolor\"),v(y+\".highlightwidth\")),v(y+\".start\"),v(y+\".end\"),v(y+\".size\")}A(i,n,c,v,{prefix:\"\",cLetter:\"c\"}),a(i,n,c,v),n._length=null}function a(i,n,s,c){var f=c(\"opacityscale\");f===\"max\"?n.opacityscale=[[0,e],[1,1]]:f===\"min\"?n.opacityscale=[[0,1],[1,e]]:f===\"extremes\"?n.opacityscale=t(1,e):r(f)||(n.opacityscale=void 0)}q.exports={supplyDefaults:o,opacityscaleDefaults:a}}}),oU=Ze({\"src/traces/surface/calc.js\"(Z,q){\"use strict\";var d=wp();q.exports=function(A,M){M.surfacecolor?d(A,M,{vals:M.surfacecolor,containerStr:\"\",cLetter:\"c\"}):d(A,M,{vals:M.z,containerStr:\"\",cLetter:\"c\"})}}}),sU=Ze({\"src/traces/surface/convert.js\"(Z,q){\"use strict\";var d=Yh().gl_surface3d,x=Yh().ndarray,A=Yh().ndarray_linear_interpolate.d2,M=K2(),e=J2(),t=ca().isArrayOrTypedArray,r=em().parseColorScale,o=Qv(),a=rc().extractOpts;function i(m,h,P){this.scene=m,this.uid=P,this.surface=h,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var n=i.prototype;n.getXat=function(m,h,P,L){var z=t(this.data.x)?t(this.data.x[0])?this.data.x[h][m]:this.data.x[m]:m;return P===void 0?z:L.d2l(z,0,P)},n.getYat=function(m,h,P,L){var z=t(this.data.y)?t(this.data.y[0])?this.data.y[h][m]:this.data.y[h]:h;return P===void 0?z:L.d2l(z,0,P)},n.getZat=function(m,h,P,L){var z=this.data.z[h][m];return z===null&&this.data.connectgaps&&this.data._interpolatedZ&&(z=this.data._interpolatedZ[h][m]),P===void 0?z:L.d2l(z,0,P)},n.handlePick=function(m){if(m.object===this.surface){var h=(m.data.index[0]-1)/this.dataScaleX-1,P=(m.data.index[1]-1)/this.dataScaleY-1,L=Math.max(Math.min(Math.round(h),this.data.z[0].length-1),0),z=Math.max(Math.min(Math.round(P),this.data._ylength-1),0);m.index=[L,z],m.traceCoordinate=[this.getXat(L,z),this.getYat(L,z),this.getZat(L,z)],m.dataCoordinate=[this.getXat(L,z,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(L,z,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(L,z,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var F=0;F<3;F++){var B=m.dataCoordinate[F];B!=null&&(m.dataCoordinate[F]*=this.scene.dataScale[F])}var O=this.data.hovertext||this.data.text;return t(O)&&O[z]&&O[z][L]!==void 0?m.textLabel=O[z][L]:O?m.textLabel=O:m.textLabel=\"\",m.data.dataCoordinate=m.dataCoordinate.slice(),this.surface.highlight(m.data),this.scene.glplot.spikes.position=m.dataCoordinate,!0}};function s(m){var h=m[0].rgb,P=m[m.length-1].rgb;return h[0]===P[0]&&h[1]===P[1]&&h[2]===P[2]&&h[3]===P[3]}var c=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function f(m,h){if(m<h)return 0;for(var P=0;Math.floor(m%h)===0;)m/=h,P++;return P}function g(m){for(var h=[],P=0;P<c.length;P++){var L=c[P];h.push(f(m,L))}return h}function v(m){for(var h=g(m),P=m,L=0;L<c.length;L++)if(h[L]>0){P=c[L];break}return P}function T(m,h){if(!(m<1||h<1)){for(var P=g(m),L=g(h),z=1,F=0;F<c.length;F++)z*=Math.pow(c[F],Math.max(P[F],L[F]));return z}}function l(m){if(m.length!==0){for(var h=1,P=0;P<m.length;P++)h=T(h,m[P]);return h}}n.calcXnums=function(m){var h,P=[];for(h=1;h<m;h++){var L=this.getXat(h-1,0),z=this.getXat(h,0);z!==L&&L!==void 0&&L!==null&&z!==void 0&&z!==null?P[h-1]=Math.abs(z-L):P[h-1]=0}var F=0;for(h=1;h<m;h++)F+=P[h-1];for(h=1;h<m;h++)P[h-1]===0?P[h-1]=1:P[h-1]=Math.round(F/P[h-1]);return P},n.calcYnums=function(m){var h,P=[];for(h=1;h<m;h++){var L=this.getYat(0,h-1),z=this.getYat(0,h);z!==L&&L!==void 0&&L!==null&&z!==void 0&&z!==null?P[h-1]=Math.abs(z-L):P[h-1]=0}var F=0;for(h=1;h<m;h++)F+=P[h-1];for(h=1;h<m;h++)P[h-1]===0?P[h-1]=1:P[h-1]=Math.round(F/P[h-1]);return P};var _=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],w=_[9],S=_[13];n.estimateScale=function(m,h){for(var P=h===0?this.calcXnums(m):this.calcYnums(m),L=1+l(P);L<w;)L*=2;for(;L>S;)L--,L/=v(L),L++,L<w&&(L=S);var z=Math.round(L/m);return z>1?z:1};function E(m,h,P){var L=P[8]+P[2]*h[0]+P[5]*h[1];return m[0]=(P[6]+P[0]*h[0]+P[3]*h[1])/L,m[1]=(P[7]+P[1]*h[0]+P[4]*h[1])/L,m}function y(m,h,P){return b(m,h,E,P),m}function b(m,h,P,L){for(var z=[0,0],F=m.shape[0],B=m.shape[1],O=0;O<F;O++)for(var I=0;I<B;I++)P(z,[O,I],L),m.set(O,I,A(h,z[0],z[1]));return m}n.refineCoords=function(m){for(var h=this.dataScaleX,P=this.dataScaleY,L=m[0].shape[0],z=m[0].shape[1],F=Math.floor(m[0].shape[0]*h+1)|0,B=Math.floor(m[0].shape[1]*P+1)|0,O=1+L+1,I=1+z+1,N=x(new Float32Array(O*I),[O,I]),U=[1/h,0,0,0,1/P,0,0,0,1],W=0;W<m.length;++W){this.surface.padField(N,m[W]);var Q=x(new Float32Array(F*B),[F,B]);y(Q,N,U),m[W]=Q}};function p(m,h){for(var P=!1,L=0;L<m.length;L++)if(h===m[L]){P=!0;break}P===!1&&m.push(h)}n.setContourLevels=function(){var m=[[],[],[]],h=[!1,!1,!1],P=!1,L,z,F;for(L=0;L<3;++L)if(this.showContour[L]&&(P=!0,this.contourSize[L]>0&&this.contourStart[L]!==null&&this.contourEnd[L]!==null&&this.contourEnd[L]>this.contourStart[L]))for(h[L]=!0,z=this.contourStart[L];z<this.contourEnd[L];z+=this.contourSize[L])F=z*this.scene.dataScale[L],p(m[L],F);if(P){var B=[[],[],[]];for(L=0;L<3;++L)this.showContour[L]&&(B[L]=h[L]?m[L]:this.scene.contourLevels[L]);this.surface.update({levels:B})}},n.update=function(m){var h=this.scene,P=h.fullSceneLayout,L=this.surface,z=r(m),F=h.dataScale,B=m.z[0].length,O=m._ylength,I=h.contourLevels;this.data=m;var N,U,W,Q,ue=[];for(N=0;N<3;N++)for(ue[N]=[],U=0;U<B;U++)ue[N][U]=[];for(U=0;U<B;U++)for(W=0;W<O;W++)ue[0][U][W]=this.getXat(U,W,m.xcalendar,P.xaxis),ue[1][U][W]=this.getYat(U,W,m.ycalendar,P.yaxis),ue[2][U][W]=this.getZat(U,W,m.zcalendar,P.zaxis);if(m.connectgaps)for(m._emptypoints=e(ue[2]),M(ue[2],m._emptypoints),m._interpolatedZ=[],U=0;U<B;U++)for(m._interpolatedZ[U]=[],W=0;W<O;W++)m._interpolatedZ[U][W]=ue[2][U][W];for(N=0;N<3;N++)for(U=0;U<B;U++)for(W=0;W<O;W++)Q=ue[N][U][W],Q==null?ue[N][U][W]=NaN:Q=ue[N][U][W]*=F[N];for(N=0;N<3;N++)for(U=0;U<B;U++)for(W=0;W<O;W++)Q=ue[N][U][W],Q!=null&&(this.minValues[N]>Q&&(this.minValues[N]=Q),this.maxValues[N]<Q&&(this.maxValues[N]=Q));for(N=0;N<3;N++)this.objectOffset[N]=.5*(this.minValues[N]+this.maxValues[N]);for(N=0;N<3;N++)for(U=0;U<B;U++)for(W=0;W<O;W++)Q=ue[N][U][W],Q!=null&&(ue[N][U][W]-=this.objectOffset[N]);var le=[x(new Float32Array(B*O),[B,O]),x(new Float32Array(B*O),[B,O]),x(new Float32Array(B*O),[B,O])];for(N=0;N<3;N++)for(U=0;U<B;U++)for(W=0;W<O;W++)le[N].set(U,W,ue[N][U][W]);ue=[];var he={colormap:z,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!m.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:m.opacityscale,opacity:m.opacity},G=a(m);if(he.intensityBounds=[G.min,G.max],m.surfacecolor){var $=x(new Float32Array(B*O),[B,O]);for(U=0;U<B;U++)for(W=0;W<O;W++)$.set(U,W,m.surfacecolor[W][U]);le.push($)}else he.intensityBounds[0]*=F[2],he.intensityBounds[1]*=F[2];(S<le[0].shape[0]||S<le[0].shape[1])&&(this.refineData=!1),this.refineData===!0&&(this.dataScaleX=this.estimateScale(le[0].shape[0],0),this.dataScaleY=this.estimateScale(le[0].shape[1],1),(this.dataScaleX!==1||this.dataScaleY!==1)&&this.refineCoords(le)),m.surfacecolor&&(he.intensity=le.pop());var J=[!0,!0,!0],X=[\"x\",\"y\",\"z\"];for(N=0;N<3;++N){var oe=m.contours[X[N]];J[N]=oe.highlight,he.showContour[N]=oe.show||oe.highlight,he.showContour[N]&&(he.contourProject[N]=[oe.project.x,oe.project.y,oe.project.z],oe.show?(this.showContour[N]=!0,he.levels[N]=I[N],L.highlightColor[N]=he.contourColor[N]=o(oe.color),oe.usecolormap?L.highlightTint[N]=he.contourTint[N]=0:L.highlightTint[N]=he.contourTint[N]=1,he.contourWidth[N]=oe.width,this.contourStart[N]=oe.start,this.contourEnd[N]=oe.end,this.contourSize[N]=oe.size):(this.showContour[N]=!1,this.contourStart[N]=null,this.contourEnd[N]=null,this.contourSize[N]=0),oe.highlight&&(he.dynamicColor[N]=o(oe.highlightcolor),he.dynamicWidth[N]=oe.highlightwidth))}s(z)&&(he.vertexColor=!0),he.objectOffset=this.objectOffset,he.coords=le,L.update(he),L.visible=m.visible,L.enableDynamic=J,L.enableHighlight=J,L.snapToData=!0,\"lighting\"in m&&(L.ambientLight=m.lighting.ambient,L.diffuseLight=m.lighting.diffuse,L.specularLight=m.lighting.specular,L.roughness=m.lighting.roughness,L.fresnel=m.lighting.fresnel),\"lightposition\"in m&&(L.lightPosition=[m.lightposition.x,m.lightposition.y,m.lightposition.z])},n.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()};function u(m,h){var P=m.glplot.gl,L=d({gl:P}),z=new i(m,L,h.uid);return L._trace=z,z.update(h),m.glplot.add(L),z}q.exports=u}}),lU=Ze({\"src/traces/surface/index.js\"(Z,q){\"use strict\";q.exports={attributes:mx(),supplyDefaults:SE().supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:oU(),plot:sU(),moduleType:\"trace\",name:\"surface\",basePlotModule:p0(),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}}}),uU=Ze({\"lib/surface.js\"(Z,q){\"use strict\";q.exports=lU()}}),M1=Ze({\"src/traces/mesh3d/attributes.js\"(Z,q){\"use strict\";var 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i=q.exports=r(t({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:o(\"x\"),y:o(\"y\"),z:o(\"z\")},caps:{x:a(\"x\"),y:a(\"y\"),z:a(\"z\")},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:A(),xhoverformat:x(\"x\"),yhoverformat:x(\"y\"),zhoverformat:x(\"z\"),valuehoverformat:x(\"value\",1),showlegend:t({},e.showlegend,{dflt:!1})},d(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:M.opacity,lightposition:M.lightposition,lighting:M.lighting,flatshading:M.flatshading,contour:M.contour,hoverinfo:t({},e.hoverinfo)}),\"calc\",\"nested\");i.flatshading.dflt=!0,i.lighting.facenormalsepsilon.dflt=0,i.x.editType=i.y.editType=i.z.editType=i.value.editType=\"calc+clearAxisTypes\"}}),ME=Ze({\"src/traces/isosurface/defaults.js\"(Z,q){\"use 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f=c.data.index,g=this.data._meshX[f],v=this.data._meshY[f],T=this.data._meshZ[f],l=this.data._Ys.length,_=this.data._Zs.length,w=r(g,this.data._Xs).id,S=r(v,this.data._Ys).id,E=r(T,this.data._Zs).id,y=c.index=E+_*S+_*l*w;c.traceCoordinate=[this.data._meshX[y],this.data._meshY[y],this.data._meshZ[y],this.data._value[y]];var b=this.data.hovertext||this.data.text;return A(b)&&b[y]!==void 0?c.textLabel=b[y]:b&&(c.textLabel=b),!0}},a.update=function(c){var f=this.scene,g=f.fullSceneLayout;this.data=n(c);function v(S,E,y,b){return E.map(function(p){return S.d2l(p,0,b)*y})}var T=t(v(g.xaxis,c._meshX,f.dataScale[0],c.xcalendar),v(g.yaxis,c._meshY,f.dataScale[1],c.ycalendar),v(g.zaxis,c._meshZ,f.dataScale[2],c.zcalendar)),l=t(c._meshI,c._meshJ,c._meshK),_={positions:T,cells:l,lightPosition:[c.lightposition.x,c.lightposition.y,c.lightposition.z],ambient:c.lighting.ambient,diffuse:c.lighting.diffuse,specular:c.lighting.specular,roughness:c.lighting.roughness,fresnel:c.lighting.fresnel,vertexNormalsEpsilon:c.lighting.vertexnormalsepsilon,faceNormalsEpsilon:c.lighting.facenormalsepsilon,opacity:c.opacity,contourEnable:c.contour.show,contourColor:M(c.contour.color).slice(0,3),contourWidth:c.contour.width,useFacetNormals:c.flatshading},w=e(c);_.vertexIntensity=c._meshIntensity,_.vertexIntensityBounds=[w.min,w.max],_.colormap=x(c),this.mesh.update(_)},a.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function n(c){c._meshI=[],c._meshJ=[],c._meshK=[];var 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Gt=Ae(Ot,at,Ke,Ue),rr=Ae(Ot,yt,Ke,Ue),Qt=Ae(Ot,Tt,Ke,Ue);Me=re(null,[Gt,rr,Qt],[-1,-1,-1])||Me}Te=!0}}),Te||([[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2],[0,2,3,1],[1,3,2,0]].forEach(function(Pe){if(Ce[Pe[0]]&&Ce[Pe[1]]&&!Ce[Pe[2]]&&!Ce[Pe[3]]){var at=qe[Pe[0]],yt=qe[Pe[1]],Tt=qe[Pe[2]],Ot=qe[Pe[3]],Gt=Ae(Tt,at,Ke,Ue),rr=Ae(Tt,yt,Ke,Ue),Qt=Ae(Ot,yt,Ke,Ue),Tr=Ae(Ot,at,Ke,Ue);_?(Me=re(bt,[at,Tr,Gt],[Be[Pe[0]],-1,-1])||Me,Me=re(bt,[yt,rr,Qt],[Be[Pe[1]],-1,-1])||Me):Me=ce(null,[Gt,rr,Qt,Tr],[-1,-1,-1,-1])||Me,Te=!0}}),Te)||[[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2]].forEach(function(Pe){if(Ce[Pe[0]]&&!Ce[Pe[1]]&&!Ce[Pe[2]]&&!Ce[Pe[3]]){var at=qe[Pe[0]],yt=qe[Pe[1]],Tt=qe[Pe[2]],Ot=qe[Pe[3]],Gt=Ae(yt,at,Ke,Ue),rr=Ae(Tt,at,Ke,Ue),Qt=Ae(Ot,at,Ke,Ue);_?(Me=re(bt,[at,Gt,rr],[Be[Pe[0]],-1,-1])||Me,Me=re(bt,[at,rr,Qt],[Be[Pe[0]],-1,-1])||Me,Me=re(bt,[at,Qt,Gt],[Be[Pe[0]],-1,-1])||Me):Me=re(null,[Gt,rr,Qt],[-1,-1,-1])||Me,Te=!0}}),Me}function lt(bt,Be,Ke,Ue,Me,qe,Ce,Te,Pe,at,yt){var Tt=!1;return l&&(j(bt,\"A\")&&(Tt=tt(null,[Be,Ke,Ue,qe],at,yt)||Tt),j(bt,\"B\")&&(Tt=tt(null,[Ke,Ue,Me,Pe],at,yt)||Tt),j(bt,\"C\")&&(Tt=tt(null,[Ke,qe,Ce,Pe],at,yt)||Tt),j(bt,\"D\")&&(Tt=tt(null,[Ue,qe,Te,Pe],at,yt)||Tt),j(bt,\"E\")&&(Tt=tt(null,[Ke,Ue,qe,Pe],at,yt)||Tt)),_&&(Tt=tt(bt,[Ke,Ue,qe,Pe],at,yt)||Tt),Tt}function Ee(bt,Be,Ke,Ue,Me,qe,Ce,Te){return[Te[0]===!0?!0:ot(bt,Xe([Be,Ke,Ue]),[Be,Ke,Ue],qe,Ce),Te[1]===!0?!0:ot(bt,Xe([Ue,Me,Be]),[Ue,Me,Be],qe,Ce)]}function _e(bt,Be,Ke,Ue,Me,qe,Ce,Te,Pe){return Te?Ee(bt,Be,Ke,Me,Ue,qe,Ce,Pe):Ee(bt,Ke,Me,Ue,Be,qe,Ce,Pe)}function fe(bt,Be,Ke,Ue,Me,qe,Ce){var Te=!1,Pe,at,yt,Tt,Ot=function(){Te=ot(bt,[Pe,at,yt],[-1,-1,-1],Me,qe)||Te,Te=ot(bt,[yt,Tt,Pe],[-1,-1,-1],Me,qe)||Te},Gt=Ce[0],rr=Ce[1],Qt=Ce[2];return 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rt(bt,Be,Ke,Ue,Me){for(var qe=[],Ce=0,Te=0;Te<Be.length;Te++)for(var Pe=Be[Te],at=1;at<h;at++)for(var yt=1;yt<m;yt++)qe.push(_e(bt,L(Pe,yt-1,at-1),L(Pe,yt-1,at),L(Pe,yt,at-1),L(Pe,yt,at),Ke,Ue,(Pe+yt+at)%2,Me&&Me[Ce]?Me[Ce]:[])),Ce++;return qe}function st(bt,Be,Ke,Ue,Me){for(var qe=[],Ce=0,Te=0;Te<Be.length;Te++)for(var Pe=Be[Te],at=1;at<u;at++)for(var yt=1;yt<h;yt++)qe.push(_e(bt,L(at-1,Pe,yt-1),L(at,Pe,yt-1),L(at-1,Pe,yt),L(at,Pe,yt),Ke,Ue,(at+Pe+yt)%2,Me&&Me[Ce]?Me[Ce]:[])),Ce++;return qe}function Qe(bt,Be,Ke,Ue,Me){for(var qe=[],Ce=0,Te=0;Te<Be.length;Te++)for(var Pe=Be[Te],at=1;at<m;at++)for(var yt=1;yt<u;yt++)qe.push(_e(bt,L(yt-1,at-1,Pe),L(yt-1,at,Pe),L(yt,at-1,Pe),L(yt,at,Pe),Ke,Ue,(yt+at+Pe)%2,Me&&Me[Ce]?Me[Ce]:[])),Ce++;return qe}function Lt(bt,Be,Ke){for(var Ue=1;Ue<h;Ue++)for(var Me=1;Me<m;Me++)for(var qe=1;qe<u;qe++)Fe(bt,L(qe-1,Me-1,Ue-1),L(qe-1,Me-1,Ue),L(qe-1,Me,Ue-1),L(qe-1,Me,Ue),L(qe,Me-1,Ue-1),L(qe,Me-1,Ue),L(qe,Me,Ue-1),L(qe,Me,Ue),Be,Ke,(qe+Me+Ue)%2)}function 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Be=c.surface.pattern,Ke=c.surface.count,Ue=0;Ue<Ke;Ue++){var Me=Ke===1?.5:Ue/(Ke-1),qe=(1-Me)*B+Me*O,Ce=Math.abs(qe-z),Te=Math.abs(qe-F),Pe=Ce>Te?[z,qe]:[qe,F];Vt(Be,Pe[0],Pe[1])}}var at=[[Math.min(B,F),Math.max(B,F)],[Math.min(z,O),Math.max(z,O)]];[\"x\",\"y\",\"z\"].forEach(function(yt){for(var Tt=[],Ot=0;Ot<at.length;Ot++){var Gt=0,rr=at[Ot][0],Qt=at[Ot][1],Tr=c.slices[yt];if(Tr.show&&Tr.fill){oe(Tr.fill);var la=[],Ua=[],Ba=[];if(Tr.locations.length)for(var Ra=0;Ra<Tr.locations.length;Ra++){var ei=r(Tr.locations[Ra],yt===\"x\"?y:yt===\"y\"?b:p);ei.distRatio===0?la.push(ei.id):ei.id>0&&(Ua.push(ei.id),yt===\"x\"?Ba.push([ei.distRatio,0,0]):yt===\"y\"?Ba.push([0,ei.distRatio,0]):Ba.push([0,0,ei.distRatio]))}else 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d=Mu(),x=tT(),A=mx(),M=eu(),e=rs().extendFlat,t=pc().overrideAll,r=q.exports=t(e({x:x.x,y:x.y,z:x.z,value:x.value,isomin:x.isomin,isomax:x.isomax,surface:x.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:x.slices,caps:x.caps,text:x.text,hovertext:x.hovertext,xhoverformat:x.xhoverformat,yhoverformat:x.yhoverformat,zhoverformat:x.zhoverformat,valuehoverformat:x.valuehoverformat,hovertemplate:x.hovertemplate},d(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:x.colorbar,opacity:x.opacity,opacityscale:A.opacityscale,lightposition:x.lightposition,lighting:x.lighting,flatshading:x.flatshading,contour:x.contour,hoverinfo:e({},M.hoverinfo),showlegend:e({},M.showlegend,{dflt:!1})}),\"calc\",\"nested\");r.x.editType=r.y.editType=r.z.editType=r.value.editType=\"calc+clearAxisTypes\"}}),hU=Ze({\"src/traces/volume/defaults.js\"(Z,q){\"use strict\";var d=ca(),x=CE(),A=ME().supplyIsoDefaults,M=SE().opacityscaleDefaults;q.exports=function(t,r,o,a){function i(n,s){return d.coerce(t,r,x,n,s)}A(t,r,o,a,i),M(t,r,a,i)}}}),pU=Ze({\"src/traces/volume/convert.js\"(Z,q){\"use strict\";var d=Yh().gl_mesh3d,x=em().parseColorScale,A=ca().isArrayOrTypedArray,M=Qv(),e=rc().extractOpts,t=E1(),r=aT().findNearestOnAxis,o=aT().generateIsoMeshes;function a(s,c,f){this.scene=s,this.uid=f,this.mesh=c,this.name=\"\",this.data=null,this.showContour=!1}var i=a.prototype;i.handlePick=function(s){if(s.object===this.mesh){var c=s.data.index,f=this.data._meshX[c],g=this.data._meshY[c],v=this.data._meshZ[c],T=this.data._Ys.length,l=this.data._Zs.length,_=r(f,this.data._Xs).id,w=r(g,this.data._Ys).id,S=r(v,this.data._Zs).id,E=s.index=S+l*w+l*T*_;s.traceCoordinate=[this.data._meshX[E],this.data._meshY[E],this.data._meshZ[E],this.data._value[E]];var y=this.data.hovertext||this.data.text;return A(y)&&y[E]!==void 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v=t(g(f.xaxis,s._meshX,c.dataScale[0],s.xcalendar),g(f.yaxis,s._meshY,c.dataScale[1],s.ycalendar),g(f.zaxis,s._meshZ,c.dataScale[2],s.zcalendar)),T=t(s._meshI,s._meshJ,s._meshK),l={positions:v,cells:T,lightPosition:[s.lightposition.x,s.lightposition.y,s.lightposition.z],ambient:s.lighting.ambient,diffuse:s.lighting.diffuse,specular:s.lighting.specular,roughness:s.lighting.roughness,fresnel:s.lighting.fresnel,vertexNormalsEpsilon:s.lighting.vertexnormalsepsilon,faceNormalsEpsilon:s.lighting.facenormalsepsilon,opacity:s.opacity,opacityscale:s.opacityscale,contourEnable:s.contour.show,contourColor:M(s.contour.color).slice(0,3),contourWidth:s.contour.width,useFacetNormals:s.flatshading},_=e(s);l.vertexIntensity=s._meshIntensity,l.vertexIntensityBounds=[_.min,_.max],l.colormap=x(s),this.mesh.update(l)},i.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function n(s,c){var f=s.glplot.gl,g=d({gl:f}),v=new a(s,g,c.uid);return g._trace=v,v.update(c),s.glplot.add(g),v}q.exports=n}}),dU=Ze({\"src/traces/volume/index.js\"(Z,q){\"use strict\";q.exports={attributes:CE(),supplyDefaults:hU(),calc:EE(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:pU(),moduleType:\"trace\",name:\"volume\",basePlotModule:p0(),categories:[\"gl3d\",\"showLegend\"],meta:{}}}}),vU=Ze({\"lib/volume.js\"(Z,q){\"use strict\";q.exports=dU()}}),mU=Ze({\"src/traces/mesh3d/defaults.js\"(Z,q){\"use strict\";var d=oo(),x=ca(),A=gh(),M=M1();q.exports=function(t,r,o,a){function i(g,v){return x.coerce(t,r,M,g,v)}function n(g){var v=g.map(function(T){var l=i(T);return l&&x.isArrayOrTypedArray(l)?l:null});return v.every(function(T){return T&&T.length===v[0].length})&&v}var s=n([\"x\",\"y\",\"z\"]);if(!s){r.visible=!1;return}if(n([\"i\",\"j\",\"k\"]),r.i&&(!r.j||!r.k)||r.j&&(!r.k||!r.i)||r.k&&(!r.i||!r.j)){r.visible=!1;return}var 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d=Mu(),x=Qc().axisHoverFormat,A=Cs().hovertemplateAttrs,M=M1(),e=eu(),t=rs().extendFlat,r={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:A({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:x(\"u\",1),vhoverformat:x(\"v\",1),whoverformat:x(\"w\",1),xhoverformat:x(\"x\"),yhoverformat:x(\"y\"),zhoverformat:x(\"z\"),showlegend:t({},e.showlegend,{dflt:!1})};t(r,d(\"\",{colorAttr:\"u/v/w 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b=g._slen;if(b)_.startingPositions=t(w(g._startsX,\"xaxis\"),w(g._startsY,\"yaxis\"),w(g._startsZ,\"zaxis\"));else{for(var p=E[0],u=i(S),m=i(y),h=new Array(u.length*m.length),P=0,L=0;L<u.length;L++)for(var z=0;z<m.length;z++)h[P++]=[u[L],p,m[z]];_.startingPositions=h}_.colormap=M(g),_.tubeSize=g.sizeref,_.maxLength=g.maxdisplayed;var F=w(g._xbnds,\"xaxis\"),B=w(g._ybnds,\"yaxis\"),O=w(g._zbnds,\"zaxis\"),I=n(S),N=n(E),U=n(y),W=[[F[0]-I[0],B[0]-N[0],O[0]-U[0]],[F[1]+I[1],B[1]+N[1],O[1]+U[1]]],Q=d(_,W),ue=e(g);Q.vertexIntensityBounds=[ue.min/g._normMax,ue.max/g._normMax];var le=g.lightposition;return Q.lightPosition=[le.x,le.y,le.z],Q.ambient=g.lighting.ambient,Q.diffuse=g.lighting.diffuse,Q.specular=g.lighting.specular,Q.roughness=g.lighting.roughness,Q.fresnel=g.lighting.fresnel,Q.opacity=g.opacity,g._pad=Q.tubeScale*g.sizeref*2,Q}a.update=function(f){this.data=f;var 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d=Cs().hovertemplateAttrs,x=Cs().texttemplateAttrs,A=$d(),M=tf(),e=eu(),t=Mu(),r=Gh().dash,o=rs().extendFlat,a=pc().overrideAll,i=M.marker,n=M.line,s=i.line,c=[\"The library used by the *country names* `locationmode` option is changing in an upcoming version.\",\"Country names in existing plots may not work in the new version.\"].join(\" \");q.exports=a({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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x.geoProjection(ra).scale(137.152)}function Ha(He,Je){var ut=Je/2,dt=r(ut);return[2*He/p*r(Je)*dt*dt,p*T(ut)]}Ha.invert=function(He,Je){var ut=e(Je/p),dt=r(ut),Ct=2*ut;return[He*p/2/(r(Ct)*dt*dt),Ct]};function $a(){return x.geoProjection(Ha).scale(135.264)}function ai(He){var Je=1-He,ut=wt(w,0)[0]-wt(-w,0)[0],dt=wt(0,S)[1]-wt(0,-S)[1],Ct=F(2*dt/ut);function wt(mr,Er){var Br=r(Er),Qr=v(Er);return[Br/(Je+He*Br)*mr,Je*Er+He*Qr]}function Dt(mr,Er){var Br=wt(mr,Er);return[Br[0]*Ct,Br[1]/Ct]}function ur(mr){return Dt(0,mr)[1]}return Dt.invert=function(mr,Er){var Br=ze(ur,Er),Qr=mr/Ct*(He+Je/r(Br));return[Qr,Br]},Dt}function mi(){var He=.5,Je=x.geoProjectionMutator(ai),ut=Je(He);return ut.alpha=function(dt){return arguments.length?Je(He=+dt):He},ut.scale(168.725)}function xt(He){return[He[0]/2,L(T(He[1]/2*h))*m]}function ct(He){return[He[0]*2,2*e(v(He[1]*h))*m]}function Nr(He){He==null&&(He=x.geoOrthographic);var 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$.yAttr||{buffer:$.positionBuffer,stride:8,offset:4}},xFract:function(G,$){return $.xAttr?{constant:[0,0]}:{buffer:$.positionFractBuffer,stride:8,offset:0}},yFract:function(G,$){return $.yAttr?{constant:[0,0]}:{buffer:$.positionFractBuffer,stride:8,offset:4}},size:function(G,$){return $.size.length?{buffer:$.sizeBuffer,stride:2,offset:0}:{constant:[Math.round($.size*255/P.maxSize)]}},borderSize:function(G,$){return $.borderSize.length?{buffer:$.sizeBuffer,stride:2,offset:1}:{constant:[Math.round($.borderSize*255/P.maxSize)]}},colorId:function(G,$){return $.color.length?{buffer:$.colorBuffer,stride:P.tooManyColors?8:4,offset:0}:{constant:P.tooManyColors?F.slice($.color*4,$.color*4+4):[$.color]}},borderColorId:function(G,$){return $.borderColor.length?{buffer:$.colorBuffer,stride:P.tooManyColors?8:4,offset:P.tooManyColors?4:2}:{constant:P.tooManyColors?F.slice($.borderColor*4,$.borderColor*4+4):[$.borderColor]}},isActive:function(G,$){return $.activation===!0?{constant:[1]}:$.activation?$.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:m.prop(\"viewport\")},viewport:m.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:m.prop(\"elements\"),count:m.prop(\"count\"),offset:m.prop(\"offset\"),primitive:\"points\"},ue=g({},Q);ue.frag=v([`precision highp float;\n#define GLSLIFY 1\n\nuniform float opacity;\nuniform sampler2D markerTexture;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat smoothStep(float x, float y) {\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\n}\n\nvoid main() {\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n\n  // max-distance alpha\n  if (dist < 0.003) discard;\n\n  // null-border case\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n  }\n  else {\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n\n    vec4 color = fragBorderColor;\n    color.a *= borderColorAmt;\n    color = mix(color, fragColor, colorAmt);\n    color.a *= opacity;\n\n    gl_FragColor = color;\n  }\n\n}\n`]),ue.vert=v([`precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\n// \\`invariant\\` effectively turns off optimizations for the position.\n// We need this because -fast-math on M1 Macs is re-ordering\n// floating point operations in a way that causes floating point\n// precision limits to put points in the wrong locations.\ninvariant gl_Position;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\nconst float borderLevel = .5;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = 2. * size * pointSizeScale;\n  fragPointSize = size * pixelRatio;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragColor = color;\n  fragBorderColor = borderColor;\n  fragWidth = 1. / gl_PointSize;\n\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}\n`]),this.drawMarker=m(ue);var le=g({},Q);le.frag=v([`precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nuniform float opacity;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n\n\tif (radius > 1.0 + delta) {\n\t\tdiscard;\n\t}\n\n\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n\n\tfloat borderRadius = fragBorderRadius;\n\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n\tcolor.a *= alpha * opacity;\n\tgl_FragColor = color;\n}\n`]),le.vert=v([`precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\n// \\`invariant\\` effectively turns off optimizations for the position.\n// We need this because -fast-math on M1 Macs is re-ordering\n// floating point operations in a way that causes floating point\n// precision limits to put points in the wrong locations.\ninvariant gl_Position;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = (size + borderSize) * pointSizeScale;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n  fragColor = color;\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n  fragWidth = 1. / gl_PointSize;\n}\n`]),w&&(le.frag=le.frag.replace(\"smoothstep\",\"smoothStep\"),ue.frag=ue.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=m(le)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var m=this,h=arguments.length,P=new Array(h),L=0;L<h;L++)P[L]=arguments[L];var z=this.groups;if(P.length===1&&Array.isArray(P[0])&&(P[0][0]===null||Array.isArray(P[0][0]))&&(P=P[0]),this.regl._refresh(),P.length)for(var F=0;F<P.length;F++)this.drawItem(F,P[F]);else z.forEach(function(B,O){m.drawItem(O)});return this},b.prototype.drawItem=function(m,h){var P=this.groups,L=P[m];if(typeof h==\"number\"&&(m=h,L=P[h],h=null),!!(L&&L.count&&L.opacity)){L.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,L,h));for(var z=[],F=1;F<L.activation.length;F++)!L.activation[F]||L.activation[F]!==!0&&!L.activation[F].data.length||z.push.apply(z,A(this.getMarkerDrawOptions(F,L,h)));z.length&&this.drawMarker(z)}},b.prototype.getMarkerDrawOptions=function(m,h,P){var L=h.range,z=h.tree,F=h.viewport,B=h.activation,O=h.selectionBuffer,I=h.count,N=this.regl;if(!z)return P?[g({},h,{markerTexture:this.markerTextures[m],activation:B[m],count:P.length,elements:P,offset:0})]:[g({},h,{markerTexture:this.markerTextures[m],activation:B[m],offset:0})];var U=[],W=z.range(L,{lod:!0,px:[(L[2]-L[0])/F.width,(L[3]-L[1])/F.height]});if(P){for(var Q=B[m],ue=Q.data,le=new Uint8Array(I),he=0;he<P.length;he++){var G=P[he];le[G]=ue?ue[G]:1}O.subdata(le)}for(var $=W.length;$--;){var J=x(W[$],2),X=J[0],oe=J[1];U.push(g({},h,{markerTexture:this.markerTextures[m],activation:P?O:B[m],offset:X,count:oe-X}))}return U},b.prototype.update=function(){for(var m=this,h=arguments.length,P=new Array(h),L=0;L<h;L++)P[L]=arguments[L];if(P.length){P.length===1&&Array.isArray(P[0])&&(P=P[0]);var z=this.groups,F=this.gl,B=this.regl,O=this.maxSize,I=this.maxColors,N=this.palette;this.groups=z=P.map(function(U,W){var Q=z[W];if(U===void 0)return Q;U===null?U={positions:null}:typeof U==\"function\"?U={ondraw:U}:typeof U[0]==\"number\"&&(U={positions:U}),U=T(U,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"}),U.positions===null&&(U.positions=[]),U.tooManyColors!=null&&(m.tooManyColors=U.tooManyColors),Q||(z[W]=Q={id:W,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:B.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:B.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:B.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:B.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:B.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},U=g({},b.defaults,U)),U.positions&&!(\"marker\"in U)&&(U.marker=Q.marker,delete Q.marker),U.marker&&!(\"positions\"in U)&&(U.positions=Q.positions,delete Q.positions);var ue=0,le=0;if(l(Q,U,[{snap:!0,size:function(tt,lt){return tt==null&&(tt=b.defaults.size),ue+=tt&&tt.length?1:0,tt},borderSize:function(tt,lt){return tt==null&&(tt=b.defaults.borderSize),ue+=tt&&tt.length?1:0,tt},opacity:parseFloat,color:function(tt,lt){return tt==null&&(tt=b.defaults.color),tt=m.updateColor(tt),le++,tt},borderColor:function(tt,lt){return tt==null&&(tt=b.defaults.borderColor),tt=m.updateColor(tt),le++,tt},bounds:function(tt,lt,Ee){return\"range\"in Ee||(Ee.range=null),tt},positions:function(tt,lt,Ee){var _e=lt.snap,fe=lt.positionBuffer,Fe=lt.positionFractBuffer,rt=lt.selectionBuffer;if(tt.x||tt.y)return tt.x.length?lt.xAttr={buffer:B.buffer(tt.x),offset:0,stride:4,count:tt.x.length}:lt.xAttr={buffer:tt.x.buffer,offset:tt.x.offset*4||0,stride:(tt.x.stride||1)*4,count:tt.x.count},tt.y.length?lt.yAttr={buffer:B.buffer(tt.y),offset:0,stride:4,count:tt.y.length}:lt.yAttr={buffer:tt.y.buffer,offset:tt.y.offset*4||0,stride:(tt.y.stride||1)*4,count:tt.y.count},lt.count=Math.max(lt.xAttr.count,lt.yAttr.count),tt;tt=_(tt,\"float64\");var st=lt.count=Math.floor(tt.length/2),Qe=lt.bounds=st?s(tt,2):null;if(!Ee.range&&!lt.range&&(delete lt.range,Ee.range=Qe),!Ee.marker&&!lt.marker&&(delete lt.marker,Ee.marker=null),_e&&(_e===!0||st>_e)?lt.tree=f(tt,{bounds:Qe}):_e&&_e.length&&(lt.tree=_e),lt.tree){var Lt={primitive:\"points\",usage:\"static\",data:lt.tree,type:\"uint32\"};lt.elements?lt.elements(Lt):lt.elements=B.elements(Lt)}var kt=S.float32(tt);fe({data:kt,usage:\"dynamic\"});var Vt=S.fract32(tt,kt);return Fe({data:Vt,usage:\"dynamic\"}),rt({data:new Uint8Array(st),type:\"uint8\",usage:\"stream\"}),tt}},{marker:function(tt,lt,Ee){var _e=lt.activation;if(_e.forEach(function(Vt){return Vt&&Vt.destroy&&Vt.destroy()}),_e.length=0,!tt||typeof tt[0]==\"number\"){var fe=m.addMarker(tt);_e[fe]=!0}else{for(var Fe=[],rt=0,st=Math.min(tt.length,lt.count);rt<st;rt++){var Qe=m.addMarker(tt[rt]);Fe[Qe]||(Fe[Qe]=new Uint8Array(lt.count)),Fe[Qe][rt]=1}for(var Lt=0;Lt<Fe.length;Lt++)if(Fe[Lt]){var kt={data:Fe[Lt],type:\"uint8\",usage:\"static\"};_e[Lt]?_e[Lt](kt):_e[Lt]=B.buffer(kt),_e[Lt].data=Fe[Lt]}}return tt},range:function(tt,lt,Ee){var _e=lt.bounds;if(_e)return tt||(tt=_e),lt.scale=[1/(tt[2]-tt[0]),1/(tt[3]-tt[1])],lt.translate=[-tt[0],-tt[1]],lt.scaleFract=S.fract(lt.scale),lt.translateFract=S.fract(lt.translate),tt},viewport:function(tt){var lt=E(tt||[F.drawingBufferWidth,F.drawingBufferHeight]);return lt}}]),ue){var he=Q,G=he.count,$=he.size,J=he.borderSize,X=he.sizeBuffer,oe=new Uint8Array(G*2);if($.length||J.length)for(var ie=0;ie<G;ie++)oe[ie*2]=Math.round(($[ie]==null?$:$[ie])*255/O),oe[ie*2+1]=Math.round((J[ie]==null?J:J[ie])*255/O);X({data:oe,usage:\"dynamic\"})}if(le){var j=Q,ee=j.count,re=j.color,ce=j.borderColor,be=j.colorBuffer,Ae;if(m.tooManyColors){if(re.length||ce.length){Ae=new Uint8Array(ee*8);for(var ze=0;ze<ee;ze++){var Re=re[ze];Ae[ze*8]=N[Re*4],Ae[ze*8+1]=N[Re*4+1],Ae[ze*8+2]=N[Re*4+2],Ae[ze*8+3]=N[Re*4+3];var Xe=ce[ze];Ae[ze*8+4]=N[Xe*4],Ae[ze*8+5]=N[Xe*4+1],Ae[ze*8+6]=N[Xe*4+2],Ae[ze*8+7]=N[Xe*4+3]}}}else if(re.length||ce.length){Ae=new Uint8Array(ee*4+2);for(var it=0;it<ee;it++)re[it]!=null&&(Ae[it*4]=re[it]%I,Ae[it*4+1]=Math.floor(re[it]/I)),ce[it]!=null&&(Ae[it*4+2]=ce[it]%I,Ae[it*4+3]=Math.floor(ce[it]/I))}be({data:Ae||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return Q})}},b.prototype.addMarker=function(m){var h=this.markerTextures,P=this.regl,L=this.markerCache,z=m==null?0:L.indexOf(m);if(z>=0)return z;var F;if(m instanceof Uint8Array||m instanceof Uint8ClampedArray)F=m;else{F=new Uint8Array(m.length);for(var B=0,O=m.length;B<O;B++)F[B]=m[B]*255}var I=Math.floor(Math.sqrt(F.length));return z=h.length,L.push(m),h.push(P.texture({channels:1,data:F,radius:I,mag:\"linear\",min:\"linear\"})),z},b.prototype.updateColor=function(m){var h=this.paletteIds,P=this.palette,L=this.maxColors;Array.isArray(m)||(m=[m]);var z=[];if(typeof m[0]==\"number\"){var F=[];if(Array.isArray(m))for(var B=0;B<m.length;B+=4)F.push(m.slice(B,B+4));else for(var O=0;O<m.length;O+=4)F.push(m.subarray(O,O+4));m=F}for(var I=0;I<m.length;I++){var N=m[I];N=n(N,\"uint8\");var U=c(N,!1);if(h[U]==null){var W=P.length;h[U]=Math.floor(W/4),P[W]=N[0],P[W+1]=N[1],P[W+2]=N[2],P[W+3]=N[3]}z[I]=h[U]}return!this.tooManyColors&&P.length>L*4&&(this.tooManyColors=!0),this.updatePalette(P),z.length===1?z[0]:z},b.prototype.updatePalette=function(m){if(!this.tooManyColors){var h=this.maxColors,P=this.paletteTexture,L=Math.ceil(m.length*.25/h);if(L>1){m=m.slice();for(var 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{\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n`,f=`\nprecision highp float;\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n`,g=`\nprecision highp float;\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n`,v=`\nprecision highp float;\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n`,T=`\nprecision highp float;\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n`,l=`\nprecision highp float;\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n`;q.exports=_;function _(w,S){if(!(this instanceof _))return new _(w,S);if(typeof w==\"function\"?(S||(S={}),S.regl=w):S=w,S.length&&(S.positions=S),w=S.regl,!w.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=w._gl,this.regl=w,this.passes=[],this.shaders=_.shaders.has(w)?_.shaders.get(w):_.shaders.set(w,_.createShaders(w)).get(w),this.update(S)}_.dashMult=2,_.maxPatternLength=256,_.precisionThreshold=3e6,_.maxPoints=1e4,_.maxLines=2048,_.shaders=new i,_.createShaders=function(w){let 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mt=Le.images[0]=Di(),Va(mt,Le),Ti(mt,$e),Le.mipmask=1;Va(Le,Le.images[0]),Le.compressed&&(Le.internalformat===lo||Le.internalformat===Co||Le.internalformat===os||Le.internalformat)}function Ps(Le,$e){for(var mt=Le.images,jt=0;jt<mt.length;++jt){if(!mt[jt])return;Ki(mt[jt],$e,jt)}}var xl=[];function ho(){var Le=xl.pop()||new En;Za.call(Le),Le.mipmask=0;for(var $e=0;$e<16;++$e)Le.images[$e]=null;return Le}function Hl(Le){for(var $e=Le.images,mt=0;mt<$e.length;++mt)$e[mt]&&nn($e[mt]),$e[mt]=null;xl.push(Le)}function fs(){this.minFilter=fl,this.magFilter=fl,this.wrapS=al,this.wrapT=al,this.anisotropic=1,this.genMipmaps=!1,this.mipmapHint=Cu}function Al(Le,$e){if(\"min\"in $e){var mt=$e.min;Le.minFilter=fi[mt],il.indexOf(Le.minFilter)>=0&&!(\"faces\"in $e)&&(Le.genMipmaps=!0)}if(\"mag\"in $e){var jt=$e.mag;Le.magFilter=bi[jt]}var _r=Le.wrapS,Fr=Le.wrapT;if(\"wrap\"in $e){var hr=$e.wrap;typeof hr==\"string\"?_r=Fr=Ai[hr]:Array.isArray(hr)&&(_r=Ai[hr[0]],Fr=Ai[hr[1]])}else{if(\"wrapS\"in $e){var gt=$e.wrapS;_r=Ai[gt]}if(\"wrapT\"in $e){var Et=$e.wrapT;Fr=Ai[Et]}}if(Le.wrapS=_r,Le.wrapT=Fr,\"anisotropic\"in $e){var Ft=$e.anisotropic;Le.anisotropic=$e.anisotropic}if(\"mipmap\"in $e){var ir=!1;switch(typeof $e.mipmap){case\"string\":Le.mipmapHint=Ja[$e.mipmap],Le.genMipmaps=!0,ir=!0;break;case\"boolean\":ir=Le.genMipmaps=$e.mipmap;break;case\"object\":Le.genMipmaps=!1,ir=!0;break;default:}ir&&!(\"min\"in $e)&&(Le.minFilter=zl)}}function El(Le,$e){nt.texParameteri($e,au,Le.minFilter),nt.texParameteri($e,zs,Le.magFilter),nt.texParameteri($e,po,Le.wrapS),nt.texParameteri($e,ro,Le.wrapT),Yt.ext_texture_filter_anisotropic&&nt.texParameteri($e,Us,Le.anisotropic),Le.genMipmaps&&(nt.hint(Bc,Le.mipmapHint),nt.generateMipmap($e))}var Ql=0,Fs={},pl=cr.maxTextureUnits,bl=Array(pl).map(function(){return null});function Hn(Le){Za.call(this),this.mipmask=0,this.internalformat=fn,this.id=Ql++,this.refCount=1,this.target=Le,this.texture=nt.createTexture(),this.unit=-1,this.bindCount=0,this.texInfo=new fs,wa.profile&&(this.stats={size:0})}function Cl(Le){nt.activeTexture(Ou),nt.bindTexture(Le.target,Le.texture)}function Lo(){var Le=bl[0];Le?nt.bindTexture(Le.target,Le.texture):nt.bindTexture(Da,null)}function ve(Le){var $e=Le.texture,mt=Le.unit,jt=Le.target;mt>=0&&(nt.activeTexture(Ou+mt),nt.bindTexture(jt,null),bl[mt]=null),nt.deleteTexture($e),Le.texture=null,Le.params=null,Le.pixels=null,Le.refCount=0,delete Fs[Le.id],xa.textureCount--}d(Hn.prototype,{bind:function(){var Le=this;Le.bindCount+=1;var $e=Le.unit;if($e<0){for(var mt=0;mt<pl;++mt){var jt=bl[mt];if(jt){if(jt.bindCount>0)continue;jt.unit=-1}bl[mt]=Le,$e=mt;break}$e>=pl,wa.profile&&xa.maxTextureUnits<$e+1&&(xa.maxTextureUnits=$e+1),Le.unit=$e,nt.activeTexture(Ou+$e),nt.bindTexture(Le.target,Le.texture)}return $e},unbind:function(){this.bindCount-=1},decRef:function(){--this.refCount<=0&&ve(this)}});function Y(Le,$e){var mt=new Hn(Da);Fs[mt.id]=mt,xa.textureCount++;function jt(hr,gt){var Et=mt.texInfo;fs.call(Et);var Ft=ho();return typeof hr==\"number\"?typeof gt==\"number\"?Rn(Ft,hr|0,gt|0):Rn(Ft,hr|0,hr|0):hr?(Al(Et,hr),Gn(Ft,hr)):Rn(Ft,1,1),Et.genMipmaps&&(Ft.mipmask=(Ft.width<<1)-1),mt.mipmask=Ft.mipmask,Va(mt,Ft),mt.internalformat=Ft.internalformat,jt.width=Ft.width,jt.height=Ft.height,Cl(mt),Ps(Ft,Da),El(Et,Da),Lo(),Hl(Ft),wa.profile&&(mt.stats.size=oc(mt.internalformat,mt.type,Ft.width,Ft.height,Et.genMipmaps,!1)),jt.format=ii[mt.internalformat],jt.type=gi[mt.type],jt.mag=Wa[Et.magFilter],jt.min=ji[Et.minFilter],jt.wrapS=Ii[Et.wrapS],jt.wrapT=Ii[Et.wrapT],jt}function _r(hr,gt,Et,Ft){var ir=gt|0,fr=Et|0,sr=Ft|0,pr=Di();return Va(pr,mt),pr.width=0,pr.height=0,Ti(pr,hr),pr.width=pr.width||(mt.width>>sr)-ir,pr.height=pr.height||(mt.height>>sr)-fr,Cl(mt),mn(pr,Da,ir,fr,sr),Lo(),nn(pr),jt}function Fr(hr,gt){var Et=hr|0,Ft=gt|0||Et;if(Et===mt.width&&Ft===mt.height)return jt;jt.width=mt.width=Et,jt.height=mt.height=Ft,Cl(mt);for(var ir=0;mt.mipmask>>ir;++ir){var fr=Et>>ir,sr=Ft>>ir;if(!fr||!sr)break;nt.texImage2D(Da,ir,mt.format,fr,sr,0,mt.format,mt.type,null)}return Lo(),wa.profile&&(mt.stats.size=oc(mt.internalformat,mt.type,Et,Ft,!1,!1)),jt}return jt(Le,$e),jt.subimage=_r,jt.resize=Fr,jt._reglType=\"texture2d\",jt._texture=mt,wa.profile&&(jt.stats=mt.stats),jt.destroy=function(){mt.decRef()},jt}function ye(Le,$e,mt,jt,_r,Fr){var hr=new Hn(Xi);Fs[hr.id]=hr,xa.cubeCount++;var gt=new Array(6);function Et(fr,sr,pr,lr,Xt,or){var qt,Dr=hr.texInfo;for(fs.call(Dr),qt=0;qt<6;++qt)gt[qt]=ho();if(typeof fr==\"number\"||!fr){var Jr=fr|0||1;for(qt=0;qt<6;++qt)Rn(gt[qt],Jr,Jr)}else if(typeof fr==\"object\")if(sr)Gn(gt[0],fr),Gn(gt[1],sr),Gn(gt[2],pr),Gn(gt[3],lr),Gn(gt[4],Xt),Gn(gt[5],or);else if(Al(Dr,fr),$i(hr,fr),\"faces\"in fr){var ba=fr.faces;for(qt=0;qt<6;++qt)Va(gt[qt],hr),Gn(gt[qt],ba[qt])}else for(qt=0;qt<6;++qt)Gn(gt[qt],fr);for(Va(hr,gt[0]),Dr.genMipmaps?hr.mipmask=(gt[0].width<<1)-1:hr.mipmask=gt[0].mipmask,hr.internalformat=gt[0].internalformat,Et.width=gt[0].width,Et.height=gt[0].height,Cl(hr),qt=0;qt<6;++qt)Ps(gt[qt],Li+qt);for(El(Dr,Xi),Lo(),wa.profile&&(hr.stats.size=oc(hr.internalformat,hr.type,Et.width,Et.height,Dr.genMipmaps,!0)),Et.format=ii[hr.internalformat],Et.type=gi[hr.type],Et.mag=Wa[Dr.magFilter],Et.min=ji[Dr.minFilter],Et.wrapS=Ii[Dr.wrapS],Et.wrapT=Ii[Dr.wrapT],qt=0;qt<6;++qt)Hl(gt[qt]);return Et}function Ft(fr,sr,pr,lr,Xt){var or=pr|0,qt=lr|0,Dr=Xt|0,Jr=Di();return Va(Jr,hr),Jr.width=0,Jr.height=0,Ti(Jr,sr),Jr.width=Jr.width||(hr.width>>Dr)-or,Jr.height=Jr.height||(hr.height>>Dr)-qt,Cl(hr),mn(Jr,Li+fr,or,qt,Dr),Lo(),nn(Jr),Et}function ir(fr){var sr=fr|0;if(sr!==hr.width){Et.width=hr.width=sr,Et.height=hr.height=sr,Cl(hr);for(var pr=0;pr<6;++pr)for(var lr=0;hr.mipmask>>lr;++lr)nt.texImage2D(Li+pr,lr,hr.format,sr>>lr,sr>>lr,0,hr.format,hr.type,null);return Lo(),wa.profile&&(hr.stats.size=oc(hr.internalformat,hr.type,Et.width,Et.height,!1,!0)),Et}}return Et(Le,$e,mt,jt,_r,Fr),Et.subimage=Ft,Et.resize=ir,Et._reglType=\"textureCube\",Et._texture=hr,wa.profile&&(Et.stats=hr.stats),Et.destroy=function(){hr.decRef()},Et}function te(){for(var Le=0;Le<pl;++Le)nt.activeTexture(Ou+Le),nt.bindTexture(Da,null),bl[Le]=null;bt(Fs).forEach(ve),xa.cubeCount=0,xa.textureCount=0}wa.profile&&(xa.getTotalTextureSize=function(){var Le=0;return Object.keys(Fs).forEach(function($e){Le+=Fs[$e].stats.size}),Le});function me(){for(var Le=0;Le<pl;++Le){var $e=bl[Le];$e&&($e.bindCount=0,$e.unit=-1,bl[Le]=null)}bt(Fs).forEach(function(mt){mt.texture=nt.createTexture(),nt.bindTexture(mt.target,mt.texture);for(var jt=0;jt<32;++jt)if(mt.mipmask&1<<jt)if(mt.target===Da)nt.texImage2D(Da,jt,mt.internalformat,mt.width>>jt,mt.height>>jt,0,mt.internalformat,mt.type,null);else for(var _r=0;_r<6;++_r)nt.texImage2D(Li+_r,jt,mt.internalformat,mt.width>>jt,mt.height>>jt,0,mt.internalformat,mt.type,null);El(mt.texInfo,mt.target)})}function Ge(){for(var Le=0;Le<pl;++Le){var $e=bl[Le];$e&&($e.bindCount=0,$e.unit=-1,bl[Le]=null),nt.activeTexture(Ou+Le),nt.bindTexture(Da,null),nt.bindTexture(Xi,null)}}return{create2D:Y,createCube:ye,clear:te,getTexture:function(Le){return null},restore:me,refresh:Ge}}var Jl=36161,Uc=32854,Tc=32855,Gs=36194,Cf=33189,lh=36168,Bf=34041,Wc=35907,Kf=34836,ku=34842,Nf=34843,ml=[];ml[Uc]=2,ml[Tc]=2,ml[Gs]=2,ml[Cf]=2,ml[lh]=1,ml[Bf]=4,ml[Wc]=4,ml[Kf]=16,ml[ku]=8,ml[Nf]=6;function Lu(nt,Yt,cr){return ml[nt]*Yt*cr}var Ac=function(nt,Yt,cr,ua,Aa){var xa={rgba4:Uc,rgb565:Gs,\"rgb5 a1\":Tc,depth:Cf,stencil:lh,\"depth stencil\":Bf};Yt.ext_srgb&&(xa.srgba=Wc),Yt.ext_color_buffer_half_float&&(xa.rgba16f=ku,xa.rgb16f=Nf),Yt.webgl_color_buffer_float&&(xa.rgba32f=Kf);var wa=[];Object.keys(xa).forEach(function(ki){var qa=xa[ki];wa[qa]=ki});var Ja=0,Ai={};function bi(ki){this.id=Ja++,this.refCount=1,this.renderbuffer=ki,this.format=Uc,this.width=0,this.height=0,Aa.profile&&(this.stats={size:0})}bi.prototype.decRef=function(){--this.refCount<=0&&fi(this)};function fi(ki){var qa=ki.renderbuffer;nt.bindRenderbuffer(Jl,null),nt.deleteRenderbuffer(qa),ki.renderbuffer=null,ki.refCount=0,delete Ai[ki.id],ua.renderbufferCount--}function yn(ki,qa){var ea=new bi(nt.createRenderbuffer());Ai[ea.id]=ea,ua.renderbufferCount++;function Ea(gi,Wa){var ji=0,Ii=0,hn=Uc;if(typeof gi==\"object\"&&gi){var Za=gi;if(\"shape\"in Za){var Va=Za.shape;ji=Va[0]|0,Ii=Va[1]|0}else\"radius\"in Za&&(ji=Ii=Za.radius|0),\"width\"in Za&&(ji=Za.width|0),\"height\"in Za&&(Ii=Za.height|0);\"format\"in Za&&(hn=xa[Za.format])}else typeof gi==\"number\"?(ji=gi|0,typeof Wa==\"number\"?Ii=Wa|0:Ii=ji):gi||(ji=Ii=1);if(!(ji===ea.width&&Ii===ea.height&&hn===ea.format))return Ea.width=ea.width=ji,Ea.height=ea.height=Ii,ea.format=hn,nt.bindRenderbuffer(Jl,ea.renderbuffer),nt.renderbufferStorage(Jl,hn,ji,Ii),Aa.profile&&(ea.stats.size=Lu(ea.format,ea.width,ea.height)),Ea.format=wa[ea.format],Ea}function ii(gi,Wa){var ji=gi|0,Ii=Wa|0||ji;return ji===ea.width&&Ii===ea.height||(Ea.width=ea.width=ji,Ea.height=ea.height=Ii,nt.bindRenderbuffer(Jl,ea.renderbuffer),nt.renderbufferStorage(Jl,ea.format,ji,Ii),Aa.profile&&(ea.stats.size=Lu(ea.format,ea.width,ea.height))),Ea}return Ea(ki,qa),Ea.resize=ii,Ea._reglType=\"renderbuffer\",Ea._renderbuffer=ea,Aa.profile&&(Ea.stats=ea.stats),Ea.destroy=function(){ea.decRef()},Ea}Aa.profile&&(ua.getTotalRenderbufferSize=function(){var ki=0;return Object.keys(Ai).forEach(function(qa){ki+=Ai[qa].stats.size}),ki});function Oi(){bt(Ai).forEach(function(ki){ki.renderbuffer=nt.createRenderbuffer(),nt.bindRenderbuffer(Jl,ki.renderbuffer),nt.renderbufferStorage(Jl,ki.format,ki.width,ki.height)}),nt.bindRenderbuffer(Jl,null)}return{create:yn,clear:function(){bt(Ai).forEach(fi)},restore:Oi}},nl=36160,dc=36161,vu=3553,bu=34069,Ml=36064,Uf=36096,Jf=36128,Bu=33306,Sc=36053,vc=36193,Lh=5121,nf=5126,df=6407,Nu=6408,of=[];of[Nu]=4,of[df]=3;var tu=[];tu[Lh]=1,tu[nf]=4,tu[vc]=2;function Xc(nt,Yt,cr,ua,Aa,xa){var wa={cur:null,next:null,dirty:!1,setFBO:null},Ja=[\"rgba\"],Ai=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];Yt.ext_srgb&&Ai.push(\"srgba\"),Yt.ext_color_buffer_half_float&&Ai.push(\"rgba16f\",\"rgb16f\"),Yt.webgl_color_buffer_float&&Ai.push(\"rgba32f\");var bi=[\"uint8\"];Yt.oes_texture_half_float&&bi.push(\"half float\",\"float16\"),Yt.oes_texture_float&&bi.push(\"float\",\"float32\");function fi(Si,Ti,Ki){this.target=Si,this.texture=Ti,this.renderbuffer=Ki;var mn=0,In=0;Ti?(mn=Ti.width,In=Ti.height):Ki&&(mn=Ki.width,In=Ki.height),this.width=mn,this.height=In}function yn(Si){Si&&(Si.texture&&Si.texture._texture.decRef(),Si.renderbuffer&&Si.renderbuffer._renderbuffer.decRef())}function Oi(Si,Ti,Ki){if(Si)if(Si.texture){var mn=Si.texture._texture,In=Math.max(1,mn.width),Di=Math.max(1,mn.height);mn.refCount+=1}else{var nn=Si.renderbuffer._renderbuffer;nn.refCount+=1}}function ki(Si,Ti){Ti&&(Ti.texture?nt.framebufferTexture2D(nl,Si,Ti.target,Ti.texture._texture.texture,0):nt.framebufferRenderbuffer(nl,Si,dc,Ti.renderbuffer._renderbuffer.renderbuffer))}function qa(Si){var Ti=vu,Ki=null,mn=null,In=Si;typeof Si==\"object\"&&(In=Si.data,\"target\"in Si&&(Ti=Si.target|0));var Di=In._reglType;return Di===\"texture2d\"||Di===\"textureCube\"?Ki=In:Di===\"renderbuffer\"&&(mn=In,Ti=dc),new fi(Ti,Ki,mn)}function ea(Si,Ti,Ki,mn,In){if(Ki){var Di=ua.create2D({width:Si,height:Ti,format:mn,type:In});return Di._texture.refCount=0,new fi(vu,Di,null)}else{var nn=Aa.create({width:Si,height:Ti,format:mn});return nn._renderbuffer.refCount=0,new fi(dc,null,nn)}}function Ea(Si){return Si&&(Si.texture||Si.renderbuffer)}function ii(Si,Ti,Ki){Si&&(Si.texture?Si.texture.resize(Ti,Ki):Si.renderbuffer&&Si.renderbuffer.resize(Ti,Ki),Si.width=Ti,Si.height=Ki)}var gi=0,Wa={};function ji(){this.id=gi++,Wa[this.id]=this,this.framebuffer=nt.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Ii(Si){Si.colorAttachments.forEach(yn),yn(Si.depthAttachment),yn(Si.stencilAttachment),yn(Si.depthStencilAttachment)}function hn(Si){var Ti=Si.framebuffer;nt.deleteFramebuffer(Ti),Si.framebuffer=null,xa.framebufferCount--,delete Wa[Si.id]}function Za(Si){var Ti;nt.bindFramebuffer(nl,Si.framebuffer);var Ki=Si.colorAttachments;for(Ti=0;Ti<Ki.length;++Ti)ki(Ml+Ti,Ki[Ti]);for(Ti=Ki.length;Ti<cr.maxColorAttachments;++Ti)nt.framebufferTexture2D(nl,Ml+Ti,vu,null,0);nt.framebufferTexture2D(nl,Bu,vu,null,0),nt.framebufferTexture2D(nl,Uf,vu,null,0),nt.framebufferTexture2D(nl,Jf,vu,null,0),ki(Uf,Si.depthAttachment),ki(Jf,Si.stencilAttachment),ki(Bu,Si.depthStencilAttachment);var mn=nt.checkFramebufferStatus(nl);nt.isContextLost(),nt.bindFramebuffer(nl,wa.next?wa.next.framebuffer:null),wa.cur=wa.next,nt.getError()}function Va(Si,Ti){var Ki=new ji;xa.framebufferCount++;function mn(Di,nn){var En,Rn=0,Gn=0,Ps=!0,xl=!0,ho=null,Hl=!0,fs=\"rgba\",Al=\"uint8\",El=1,Ql=null,Fs=null,pl=null,bl=!1;if(typeof Di==\"number\")Rn=Di|0,Gn=nn|0||Rn;else if(!Di)Rn=Gn=1;else{var Hn=Di;if(\"shape\"in Hn){var Cl=Hn.shape;Rn=Cl[0],Gn=Cl[1]}else\"radius\"in Hn&&(Rn=Gn=Hn.radius),\"width\"in Hn&&(Rn=Hn.width),\"height\"in Hn&&(Gn=Hn.height);(\"color\"in Hn||\"colors\"in Hn)&&(ho=Hn.color||Hn.colors,Array.isArray(ho)),ho||(\"colorCount\"in Hn&&(El=Hn.colorCount|0),\"colorTexture\"in Hn&&(Hl=!!Hn.colorTexture,fs=\"rgba4\"),\"colorType\"in Hn&&(Al=Hn.colorType,Hl||(Al===\"half float\"||Al===\"float16\"?fs=\"rgba16f\":(Al===\"float\"||Al===\"float32\")&&(fs=\"rgba32f\"))),\"colorFormat\"in Hn&&(fs=Hn.colorFormat,Ja.indexOf(fs)>=0?Hl=!0:Ai.indexOf(fs)>=0&&(Hl=!1))),(\"depthTexture\"in Hn||\"depthStencilTexture\"in Hn)&&(bl=!!(Hn.depthTexture||Hn.depthStencilTexture)),\"depth\"in Hn&&(typeof Hn.depth==\"boolean\"?Ps=Hn.depth:(Ql=Hn.depth,xl=!1)),\"stencil\"in Hn&&(typeof Hn.stencil==\"boolean\"?xl=Hn.stencil:(Fs=Hn.stencil,Ps=!1)),\"depthStencil\"in Hn&&(typeof Hn.depthStencil==\"boolean\"?Ps=xl=Hn.depthStencil:(pl=Hn.depthStencil,Ps=!1,xl=!1))}var Lo=null,ve=null,Y=null,ye=null;if(Array.isArray(ho))Lo=ho.map(qa);else if(ho)Lo=[qa(ho)];else for(Lo=new Array(El),En=0;En<El;++En)Lo[En]=ea(Rn,Gn,Hl,fs,Al);Rn=Rn||Lo[0].width,Gn=Gn||Lo[0].height,Ql?ve=qa(Ql):Ps&&!xl&&(ve=ea(Rn,Gn,bl,\"depth\",\"uint32\")),Fs?Y=qa(Fs):xl&&!Ps&&(Y=ea(Rn,Gn,!1,\"stencil\",\"uint8\")),pl?ye=qa(pl):!Ql&&!Fs&&xl&&Ps&&(ye=ea(Rn,Gn,bl,\"depth stencil\",\"depth stencil\"));var te=null;for(En=0;En<Lo.length;++En)if(Oi(Lo[En],Rn,Gn),Lo[En]&&Lo[En].texture){var me=of[Lo[En].texture._texture.format]*tu[Lo[En].texture._texture.type];te===null&&(te=me)}return Oi(ve,Rn,Gn),Oi(Y,Rn,Gn),Oi(ye,Rn,Gn),Ii(Ki),Ki.width=Rn,Ki.height=Gn,Ki.colorAttachments=Lo,Ki.depthAttachment=ve,Ki.stencilAttachment=Y,Ki.depthStencilAttachment=ye,mn.color=Lo.map(Ea),mn.depth=Ea(ve),mn.stencil=Ea(Y),mn.depthStencil=Ea(ye),mn.width=Ki.width,mn.height=Ki.height,Za(Ki),mn}function In(Di,nn){var En=Math.max(Di|0,1),Rn=Math.max(nn|0||En,1);if(En===Ki.width&&Rn===Ki.height)return mn;for(var Gn=Ki.colorAttachments,Ps=0;Ps<Gn.length;++Ps)ii(Gn[Ps],En,Rn);return ii(Ki.depthAttachment,En,Rn),ii(Ki.stencilAttachment,En,Rn),ii(Ki.depthStencilAttachment,En,Rn),Ki.width=mn.width=En,Ki.height=mn.height=Rn,Za(Ki),mn}return mn(Si,Ti),d(mn,{resize:In,_reglType:\"framebuffer\",_framebuffer:Ki,destroy:function(){hn(Ki),Ii(Ki)},use:function(Di){wa.setFBO({framebuffer:mn},Di)}})}function $i(Si){var Ti=Array(6);function Ki(In){var Di,nn={color:null},En=0,Rn=null,Gn=\"rgba\",Ps=\"uint8\",xl=1;if(typeof In==\"number\")En=In|0;else if(!In)En=1;else{var ho=In;if(\"shape\"in ho){var Hl=ho.shape;En=Hl[0]}else\"radius\"in ho&&(En=ho.radius|0),\"width\"in ho?(En=ho.width|0,\"height\"in ho):\"height\"in ho&&(En=ho.height|0);(\"color\"in ho||\"colors\"in ho)&&(Rn=ho.color||ho.colors,Array.isArray(Rn)),Rn||(\"colorCount\"in ho&&(xl=ho.colorCount|0),\"colorType\"in ho&&(Ps=ho.colorType),\"colorFormat\"in ho&&(Gn=ho.colorFormat)),\"depth\"in ho&&(nn.depth=ho.depth),\"stencil\"in ho&&(nn.stencil=ho.stencil),\"depthStencil\"in ho&&(nn.depthStencil=ho.depthStencil)}var fs;if(Rn)if(Array.isArray(Rn))for(fs=[],Di=0;Di<Rn.length;++Di)fs[Di]=Rn[Di];else fs=[Rn];else{fs=Array(xl);var Al={radius:En,format:Gn,type:Ps};for(Di=0;Di<xl;++Di)fs[Di]=ua.createCube(Al)}for(nn.color=Array(fs.length),Di=0;Di<fs.length;++Di){var El=fs[Di];En=En||El.width,nn.color[Di]={target:bu,data:fs[Di]}}for(Di=0;Di<6;++Di){for(var Ql=0;Ql<fs.length;++Ql)nn.color[Ql].target=bu+Di;Di>0&&(nn.depth=Ti[0].depth,nn.stencil=Ti[0].stencil,nn.depthStencil=Ti[0].depthStencil),Ti[Di]?Ti[Di](nn):Ti[Di]=Va(nn)}return d(Ki,{width:En,height:En,color:fs})}function mn(In){var Di,nn=In|0;if(nn===Ki.width)return Ki;var En=Ki.color;for(Di=0;Di<En.length;++Di)En[Di].resize(nn);for(Di=0;Di<6;++Di)Ti[Di].resize(nn);return Ki.width=Ki.height=nn,Ki}return Ki(Si),d(Ki,{faces:Ti,resize:mn,_reglType:\"framebufferCube\",destroy:function(){Ti.forEach(function(In){In.destroy()})}})}function 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qa(){return Yt.oes_vertex_array_object}function ea(){return Yt.angle_instanced_arrays}function Ea(Za){return typeof Za==\"function\"&&Za._vao?Za._vao:null}function ii(Za){if(Za!==Oi.currentVAO){var Va=qa();Za?Va.bindVertexArrayOES(Za.vao):Va.bindVertexArrayOES(null),Oi.currentVAO=Za}}function gi(Za){if(Za!==Oi.currentVAO){if(Za)Za.bindAttrs();else{for(var Va=ea(),$i=0;$i<Ai.length;++$i){var zi=Ai[$i];zi.buffer?(nt.enableVertexAttribArray($i),zi.buffer.bind(),nt.vertexAttribPointer($i,zi.size,zi.type,zi.normalized,zi.stride,zi.offfset),Va&&zi.divisor&&Va.vertexAttribDivisorANGLE($i,zi.divisor)):(nt.disableVertexAttribArray($i),nt.vertexAttrib4f($i,zi.x,zi.y,zi.z,zi.w))}wa.elements?nt.bindBuffer(ol,wa.elements.buffer.buffer):nt.bindBuffer(ol,null)}Oi.currentVAO=Za}}function Wa(){bt(yn).forEach(function(Za){Za.destroy()})}function ji(){this.id=++fi,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var Za=qa();Za?this.vao=Za.createVertexArrayOES():this.vao=null,yn[this.id]=this,this.buffers=[]}ji.prototype.bindAttrs=function(){for(var Za=ea(),Va=this.attributes,$i=0;$i<Va.length;++$i){var zi=Va[$i];zi.buffer?(nt.enableVertexAttribArray($i),nt.bindBuffer(vf,zi.buffer.buffer),nt.vertexAttribPointer($i,zi.size,zi.type,zi.normalized,zi.stride,zi.offset),Za&&zi.divisor&&Za.vertexAttribDivisorANGLE($i,zi.divisor)):(nt.disableVertexAttribArray($i),nt.vertexAttrib4f($i,zi.x,zi.y,zi.z,zi.w))}for(var Si=Va.length;Si<Ja;++Si)nt.disableVertexAttribArray(Si);var Ti=xa.getElements(this.elements);Ti?nt.bindBuffer(ol,Ti.buffer.buffer):nt.bindBuffer(ol,null)},ji.prototype.refresh=function(){var Za=qa();Za&&(Za.bindVertexArrayOES(this.vao),this.bindAttrs(),Oi.currentVAO=null,Za.bindVertexArrayOES(null))},ji.prototype.destroy=function(){if(this.vao){var Za=qa();this===Oi.currentVAO&&(Oi.currentVAO=null,Za.bindVertexArrayOES(null)),Za.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),yn[this.id]&&(delete yn[this.id],ua.vaoCount-=1)};function Ii(){var Za=qa();Za&&bt(yn).forEach(function(Va){Va.refresh()})}function hn(Za){var Va=new ji;ua.vaoCount+=1;function $i(zi){var Si;if(Array.isArray(zi))Si=zi,Va.elements&&Va.ownsElements&&Va.elements.destroy(),Va.elements=null,Va.ownsElements=!1,Va.offset=0,Va.count=0,Va.instances=-1,Va.primitive=4;else{if(zi.elements){var Ti=zi.elements;Va.ownsElements?typeof Ti==\"function\"&&Ti._reglType===\"elements\"?(Va.elements.destroy(),Va.ownsElements=!1):(Va.elements(Ti),Va.ownsElements=!1):xa.getElements(zi.elements)?(Va.elements=zi.elements,Va.ownsElements=!1):(Va.elements=xa.create(zi.elements),Va.ownsElements=!0)}else Va.elements=null,Va.ownsElements=!1;Si=zi.attributes,Va.offset=0,Va.count=-1,Va.instances=-1,Va.primitive=4,Va.elements&&(Va.count=Va.elements._elements.vertCount,Va.primitive=Va.elements._elements.primType),\"offset\"in zi&&(Va.offset=zi.offset|0),\"count\"in zi&&(Va.count=zi.count|0),\"instances\"in zi&&(Va.instances=zi.instances|0),\"primitive\"in zi&&(Va.primitive=xt[zi.primitive])}var Ki={},mn=Va.attributes;mn.length=Si.length;for(var In=0;In<Si.length;++In){var Di=Si[In],nn=mn[In]=new mu,En=Di.data||Di;if(Array.isArray(En)||wr(En)||Ir(En)){var Rn;Va.buffers[In]&&(Rn=Va.buffers[In],wr(En)&&Rn._buffer.byteLength>=En.byteLength?Rn.subdata(En):(Rn.destroy(),Va.buffers[In]=null)),Va.buffers[In]||(Rn=Va.buffers[In]=Aa.create(Di,vf,!1,!0)),nn.buffer=Aa.getBuffer(Rn),nn.size=nn.buffer.dimension|0,nn.normalized=!1,nn.type=nn.buffer.dtype,nn.offset=0,nn.stride=0,nn.divisor=0,nn.state=1,Ki[In]=1}else 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Hu(nt,Yt,cr,ua){var Aa={},xa={};function wa(ea,Ea,ii,gi){this.name=ea,this.id=Ea,this.location=ii,this.info=gi}function Ja(ea,Ea){for(var ii=0;ii<ea.length;++ii)if(ea[ii].id===Ea.id){ea[ii].location=Ea.location;return}ea.push(Ea)}function Ai(ea,Ea,ii){var gi=ea===kf?Aa:xa,Wa=gi[Ea];if(!Wa){var ji=Yt.str(Ea);Wa=nt.createShader(ea),nt.shaderSource(Wa,ji),nt.compileShader(Wa),gi[Ea]=Wa}return Wa}var bi={},fi=[],yn=0;function Oi(ea,Ea){this.id=yn++,this.fragId=ea,this.vertId=Ea,this.program=null,this.uniforms=[],this.attributes=[],this.refCount=1,ua.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function ki(ea,Ea,ii){var gi,Wa,ji=Ai(kf,ea.fragId),Ii=Ai(hl,ea.vertId),hn=ea.program=nt.createProgram();if(nt.attachShader(hn,ji),nt.attachShader(hn,Ii),ii)for(gi=0;gi<ii.length;++gi){var Za=ii[gi];nt.bindAttribLocation(hn,Za[0],Za[1])}nt.linkProgram(hn);var Va=nt.getProgramParameter(hn,sf);ua.profile&&(ea.stats.uniformsCount=Va);var $i=ea.uniforms;for(gi=0;gi<Va;++gi)if(Wa=nt.getActiveUniform(hn,gi),Wa)if(Wa.size>1)for(var zi=0;zi<Wa.size;++zi){var Si=Wa.name.replace(\"[0]\",\"[\"+zi+\"]\");Ja($i,new wa(Si,Yt.id(Si),nt.getUniformLocation(hn,Si),Wa))}else Ja($i,new wa(Wa.name,Yt.id(Wa.name),nt.getUniformLocation(hn,Wa.name),Wa));var Ti=nt.getProgramParameter(hn,Mc);ua.profile&&(ea.stats.attributesCount=Ti);var Ki=ea.attributes;for(gi=0;gi<Ti;++gi)Wa=nt.getActiveAttrib(hn,gi),Wa&&Ja(Ki,new wa(Wa.name,Yt.id(Wa.name),nt.getAttribLocation(hn,Wa.name),Wa))}ua.profile&&(cr.getMaxUniformsCount=function(){var ea=0;return fi.forEach(function(Ea){Ea.stats.uniformsCount>ea&&(ea=Ea.stats.uniformsCount)}),ea},cr.getMaxAttributesCount=function(){var ea=0;return fi.forEach(function(Ea){Ea.stats.attributesCount>ea&&(ea=Ea.stats.attributesCount)}),ea});function qa(){Aa={},xa={};for(var ea=0;ea<fi.length;++ea)ki(fi[ea],null,fi[ea].attributes.map(function(Ea){return[Ea.location,Ea.name]}))}return{clear:function(){var ea=nt.deleteShader.bind(nt);bt(Aa).forEach(ea),Aa={},bt(xa).forEach(ea),xa={},fi.forEach(function(Ea){nt.deleteProgram(Ea.program)}),fi.length=0,bi={},cr.shaderCount=0},program:function(ea,Ea,ii,gi){var Wa=bi[Ea];Wa||(Wa=bi[Ea]={});var ji=Wa[ea];if(ji&&(ji.refCount++,!gi))return ji;var Ii=new Oi(Ea,ea);return cr.shaderCount++,ki(Ii,ii,gi),ji||(Wa[ea]=Ii),fi.push(Ii),d(Ii,{destroy:function(){if(Ii.refCount--,Ii.refCount<=0){nt.deleteProgram(Ii.program);var hn=fi.indexOf(Ii);fi.splice(hn,1),cr.shaderCount--}Wa[Ii.vertId].refCount<=0&&(nt.deleteShader(xa[Ii.vertId]),delete xa[Ii.vertId],delete bi[Ii.fragId][Ii.vertId]),Object.keys(bi[Ii.fragId]).length||(nt.deleteShader(Aa[Ii.fragId]),delete Aa[Ii.fragId],delete bi[Ii.fragId])}})},restore:qa,shader:Ai,frag:-1,vert:-1}}var mf=6408,Wu=5121,Zc=3333,Lf=5126;function ru(nt,Yt,cr,ua,Aa,xa,wa){function Ja(fi){var yn;Yt.next===null?yn=Wu:yn=Yt.next.colorAttachments[0].texture._texture.type;var 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Ft=gt.static,ir=gt.dynamic,fr={};return Za.forEach(function(sr){var pr=zi(sr);function lr(Xt,or){if(sr in Ft){var qt=Xt(Ft[sr]);fr[pr]=an(function(){return qt})}else if(sr in ir){var Dr=ir[sr];fr[pr]=vn(Dr,function(Jr,ba){return or(Jr,ba,Jr.invoke(ba,Dr))})}}switch(sr){case Iu:case ys:case Ks:case Ic:case Un:case ae:case Pc:case gc:case fo:case Ls:return lr(function(Xt){return Xt},function(Xt,or,qt){return qt});case Io:return lr(function(Xt){return Ma[Xt]},function(Xt,or,qt){var Dr=Xt.constants.compareFuncs;return or.def(Dr,\"[\",qt,\"]\")});case Xs:return lr(function(Xt){return Xt},function(Xt,or,qt){var Dr=or.def(\"+\",qt,\"[0]\"),Jr=or.def(\"+\",qt,\"[1]\");return[Dr,Jr]});case sl:return lr(function(Xt){var or=\"srcRGB\"in Xt?Xt.srcRGB:Xt.src,qt=\"srcAlpha\"in Xt?Xt.srcAlpha:Xt.src,Dr=\"dstRGB\"in Xt?Xt.dstRGB:Xt.dst,Jr=\"dstAlpha\"in Xt?Xt.dstAlpha:Xt.dst;return[ni[or],ni[Dr],ni[qt],ni[Jr]]},function(Xt,or,qt){var Dr=Xt.constants.blendFuncs;function Jr(pi,wi){var Mi=or.def('\"',pi,wi,'\" in ',qt,\"?\",qt,\".\",pi,wi,\":\",qt,\".\",pi);return Mi}var ba=Jr(\"src\",\"RGB\"),yi=Jr(\"dst\",\"RGB\"),Xa=or.def(Dr,\"[\",ba,\"]\"),si=or.def(Dr,\"[\",Jr(\"src\",\"Alpha\"),\"]\"),Ji=or.def(Dr,\"[\",yi,\"]\"),Bi=or.def(Dr,\"[\",Jr(\"dst\",\"Alpha\"),\"]\");return[Xa,Ji,si,Bi]});case yl:return lr(function(Xt){if(typeof Xt==\"string\")return[ii[Xt],ii[Xt]];if(typeof Xt==\"object\")return[ii[Xt.rgb],ii[Xt.alpha]]},function(Xt,or,qt){var Dr=Xt.constants.blendEquations,Jr=or.def(),ba=or.def(),yi=Xt.cond(\"typeof \",qt,'===\"string\"');return yi.then(Jr,\"=\",ba,\"=\",Dr,\"[\",qt,\"];\"),yi.else(Jr,\"=\",Dr,\"[\",qt,\".rgb];\",ba,\"=\",Dr,\"[\",qt,\".alpha];\"),or(yi),[Jr,ba]});case Fl:return lr(function(Xt){return p(4,function(or){return+Xt[or]})},function(Xt,or,qt){return p(4,function(Dr){return or.def(\"+\",qt,\"[\",Dr,\"]\")})});case lc:return lr(function(Xt){return Xt|0},function(Xt,or,qt){return or.def(qt,\"|0\")});case Yu:return lr(function(Xt){var or=Xt.cmp||\"keep\",qt=Xt.ref||0,Dr=\"mask\"in Xt?Xt.mask:-1;return[Ma[or],qt,Dr]},function(Xt,or,qt){var Dr=Xt.constants.compareFuncs,Jr=or.def('\"cmp\" in ',qt,\"?\",Dr,\"[\",qt,\".cmp]\",\":\",zt),ba=or.def(qt,\".ref|0\"),yi=or.def('\"mask\" in ',qt,\"?\",qt,\".mask|0:-1\");return[Jr,ba,yi]});case Ne:case R:return lr(function(Xt){var or=Xt.fail||\"keep\",qt=Xt.zfail||\"keep\",Dr=Xt.zpass||\"keep\";return[sr===R?De:de,Na[or],Na[qt],Na[Dr]]},function(Xt,or,qt){var Dr=Xt.constants.stencilOps;function Jr(ba){return or.def('\"',ba,'\" in ',qt,\"?\",Dr,\"[\",qt,\".\",ba,\"]:\",zt)}return[sr===R?De:de,Jr(\"fail\"),Jr(\"zfail\"),Jr(\"zpass\")]});case wu:return lr(function(Xt){var or=Xt.factor|0,qt=Xt.units|0;return[or,qt]},function(Xt,or,qt){var Dr=or.def(qt,\".factor|0\"),Jr=or.def(qt,\".units|0\");return[Dr,Jr]});case Zu:return lr(function(Xt){var or=0;return Xt===\"front\"?or=de:Xt===\"back\"&&(or=De),or},function(Xt,or,qt){return or.def(qt,'===\"front\"?',de,\":\",De)});case yu:return lr(function(Xt){return Xt},function(Xt,or,qt){return qt});case Lc:return lr(function(Xt){return Ka[Xt]},function(Xt,or,qt){return or.def(qt+'===\"cw\"?'+et+\":\"+vt)});case ou:return lr(function(Xt){return Xt.map(function(or){return!!or})},function(Xt,or,qt){return p(4,function(Dr){return\"!!\"+qt+\"[\"+Dr+\"]\"})});case zo:return lr(function(Xt){var or=\"value\"in Xt?Xt.value:1,qt=!!Xt.invert;return[or,qt]},function(Xt,or,qt){var Dr=or.def('\"value\" in ',qt,\"?+\",qt,\".value:1\"),Jr=or.def(\"!!\",qt,\".invert\");return[Dr,Jr]})}}),fr}function fs(gt,Et){var Ft=gt.static,ir=gt.dynamic,fr={};return Object.keys(Ft).forEach(function(sr){var pr=Ft[sr],lr;if(typeof pr==\"number\"||typeof pr==\"boolean\")lr=an(function(){return pr});else if(typeof pr==\"function\"){var Xt=pr._reglType;Xt===\"texture2d\"||Xt===\"textureCube\"?lr=an(function(or){return or.link(pr)}):(Xt===\"framebuffer\"||Xt===\"framebufferCube\")&&(lr=an(function(or){return or.link(pr.color[0])}))}else Ya(pr)&&(lr=an(function(or){var qt=or.global.def(\"[\",p(pr.length,function(Dr){return pr[Dr]}),\"]\");return qt}));lr.value=pr,fr[sr]=lr}),Object.keys(ir).forEach(function(sr){var pr=ir[sr];fr[sr]=vn(pr,function(lr,Xt){return lr.invoke(Xt,pr)})}),fr}function Al(gt,Et){var Ft=gt.static,ir=gt.dynamic,fr={};return Object.keys(Ft).forEach(function(sr){var pr=Ft[sr],lr=Yt.id(sr),Xt=new Ea;if(vi(pr))Xt.state=Jn,Xt.buffer=Aa.getBuffer(Aa.create(pr,Qr,!1,!0)),Xt.type=0;else{var or=Aa.getBuffer(pr);if(or)Xt.state=Jn,Xt.buffer=or,Xt.type=0;else if(\"constant\"in pr){var qt=pr.constant;Xt.buffer=\"null\",Xt.state=co,typeof qt==\"number\"?Xt.x=qt:Kn.forEach(function(Ji,Bi){Bi<qt.length&&(Xt[Ji]=qt[Bi])})}else{vi(pr.buffer)?or=Aa.getBuffer(Aa.create(pr.buffer,Qr,!1,!0)):or=Aa.getBuffer(pr.buffer);var Dr=pr.offset|0,Jr=pr.stride|0,ba=pr.size|0,yi=!!pr.normalized,Xa=0;\"type\"in pr&&(Xa=la[pr.type]);var si=pr.divisor|0;Xt.buffer=or,Xt.state=Jn,Xt.size=ba,Xt.normalized=yi,Xt.type=Xa||or.dtype,Xt.offset=Dr,Xt.stride=Jr,Xt.divisor=si}}fr[sr]=an(function(Ji,Bi){var pi=Ji.attribCache;if(lr in pi)return pi[lr];var wi={isStream:!1};return Object.keys(Xt).forEach(function(Mi){wi[Mi]=Xt[Mi]}),Xt.buffer&&(wi.buffer=Ji.link(Xt.buffer),wi.type=wi.type||wi.buffer+\".dtype\"),pi[lr]=wi,wi})}),Object.keys(ir).forEach(function(sr){var pr=ir[sr];function lr(Xt,or){var qt=Xt.invoke(or,pr),Dr=Xt.shared,Jr=Xt.constants,ba=Dr.isBufferArgs,yi=Dr.buffer,Xa={isStream:or.def(!1)},si=new Ea;si.state=Jn,Object.keys(si).forEach(function(wi){Xa[wi]=or.def(\"\"+si[wi])});var Ji=Xa.buffer,Bi=Xa.type;or(\"if(\",ba,\"(\",qt,\")){\",Xa.isStream,\"=true;\",Ji,\"=\",yi,\".createStream(\",Qr,\",\",qt,\");\",Bi,\"=\",Ji,\".dtype;\",\"}else{\",Ji,\"=\",yi,\".getBuffer(\",qt,\");\",\"if(\",Ji,\"){\",Bi,\"=\",Ji,\".dtype;\",'}else if(\"constant\" in ',qt,\"){\",Xa.state,\"=\",co,\";\",\"if(typeof \"+qt+'.constant === 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sr==\"boolean\"?\"\"+sr:pr.link(sr)})}),Object.keys(Ft).forEach(function(fr){var sr=Ft[fr];ir[fr]=vn(sr,function(pr,lr){return pr.invoke(lr,sr)})}),ir}function Ql(gt,Et,Ft,ir,fr){var sr=gt.static,pr=gt.dynamic,lr=Ps(gt,Et),Xt=Rn(gt,fr),or=Gn(gt,Xt,fr),qt=ho(gt,fr),Dr=Hl(gt,fr),Jr=xl(gt,fr,lr);function ba(pi){var wi=or[pi];wi&&(Dr[pi]=wi)}ba(Se),ba(zi(we));var yi=Object.keys(Dr).length>0,Xa={framebuffer:Xt,draw:qt,shader:Jr,state:Dr,dirty:yi,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(Xa.profile=En(gt,fr),Xa.uniforms=fs(Ft,fr),Xa.drawVAO=Xa.scopeVAO=qt.vao,!Xa.drawVAO&&Jr.program&&!lr&&cr.angle_instanced_arrays&&qt.static.elements){var si=!0,Ji=Jr.program.attributes.map(function(pi){var wi=Et.static[pi];return si=si&&!!wi,wi});if(si&&Ji.length>0){var Bi=bi.getVAO(bi.createVAO({attributes:Ji,elements:qt.static.elements}));Xa.drawVAO=new Pa(null,null,null,function(pi,wi){return pi.link(Bi)}),Xa.useVAO=!0}}return lr?Xa.useVAO=!0:Xa.attributes=Al(Et,fr),Xa.context=El(ir,fr),Xa}function Fs(gt,Et,Ft){var ir=gt.shared,fr=ir.context,sr=gt.scope();Object.keys(Ft).forEach(function(pr){Et.save(fr,\".\"+pr);var lr=Ft[pr],Xt=lr.append(gt,Et);Array.isArray(Xt)?sr(fr,\".\",pr,\"=[\",Xt.join(),\"];\"):sr(fr,\".\",pr,\"=\",Xt,\";\")}),Et(sr)}function pl(gt,Et,Ft,ir){var fr=gt.shared,sr=fr.gl,pr=fr.framebuffer,lr;Wa&&(lr=Et.def(fr.extensions,\".webgl_draw_buffers\"));var Xt=gt.constants,or=Xt.drawBuffer,qt=Xt.backBuffer,Dr;Ft?Dr=Ft.append(gt,Et):Dr=Et.def(pr,\".next\"),ir||Et(\"if(\",Dr,\"!==\",pr,\".cur){\"),Et(\"if(\",Dr,\"){\",sr,\".bindFramebuffer(\",ya,\",\",Dr,\".framebuffer);\"),Wa&&Et(lr,\".drawBuffersWEBGL(\",or,\"[\",Dr,\".colorAttachments.length]);\"),Et(\"}else{\",sr,\".bindFramebuffer(\",ya,\",null);\"),Wa&&Et(lr,\".drawBuffersWEBGL(\",qt,\");\"),Et(\"}\",pr,\".cur=\",Dr,\";\"),ir||Et(\"}\")}function bl(gt,Et,Ft){var ir=gt.shared,fr=ir.gl,sr=gt.current,pr=gt.next,lr=ir.current,Xt=ir.next,or=gt.cond(lr,\".dirty\");Za.forEach(function(qt){var Dr=zi(qt);if(!(Dr in Ft.state)){var Jr,ba;if(Dr in pr){Jr=pr[Dr],ba=sr[Dr];var yi=p(Ii[Dr].length,function(si){return or.def(Jr,\"[\",si,\"]\")});or(gt.cond(yi.map(function(si,Ji){return si+\"!==\"+ba+\"[\"+Ji+\"]\"}).join(\"||\")).then(fr,\".\",$i[Dr],\"(\",yi,\");\",yi.map(function(si,Ji){return ba+\"[\"+Ji+\"]=\"+si}).join(\";\"),\";\"))}else{Jr=or.def(Xt,\".\",Dr);var Xa=gt.cond(Jr,\"!==\",lr,\".\",Dr);or(Xa),Dr in Va?Xa(gt.cond(Jr).then(fr,\".enable(\",Va[Dr],\");\").else(fr,\".disable(\",Va[Dr],\");\"),lr,\".\",Dr,\"=\",Jr,\";\"):Xa(fr,\".\",$i[Dr],\"(\",Jr,\");\",lr,\".\",Dr,\"=\",Jr,\";\")}}}),Object.keys(Ft.state).length===0&&or(lr,\".dirty=false;\"),Et(or)}function Hn(gt,Et,Ft,ir){var fr=gt.shared,sr=gt.current,pr=fr.current,lr=fr.gl,Xt;ui(Object.keys(Ft)).forEach(function(or){var qt=Ft[or];if(!(ir&&!ir(qt))){var Dr=qt.append(gt,Et);if(Va[or]){var Jr=Va[or];sn(qt)?(Xt=gt.link(Dr,{stable:!0}),Et(gt.cond(Xt).then(lr,\".enable(\",Jr,\");\").else(lr,\".disable(\",Jr,\");\")),Et(pr,\".\",or,\"=\",Xt,\";\")):(Et(gt.cond(Dr).then(lr,\".enable(\",Jr,\");\").else(lr,\".disable(\",Jr,\");\")),Et(pr,\".\",or,\"=\",Dr,\";\"))}else if(Ya(Dr)){var ba=sr[or];Et(lr,\".\",$i[or],\"(\",Dr,\");\",Dr.map(function(yi,Xa){return ba+\"[\"+Xa+\"]=\"+yi}).join(\";\"),\";\")}else sn(qt)?(Xt=gt.link(Dr,{stable:!0}),Et(lr,\".\",$i[or],\"(\",Xt,\");\",pr,\".\",or,\"=\",Xt,\";\")):Et(lr,\".\",$i[or],\"(\",Dr,\");\",pr,\".\",or,\"=\",Dr,\";\")}})}function Cl(gt,Et){gi&&(gt.instancing=Et.def(gt.shared.extensions,\".angle_instanced_arrays\"))}function Lo(gt,Et,Ft,ir,fr){var sr=gt.shared,pr=gt.stats,lr=sr.current,Xt=sr.timer,or=Ft.profile;function qt(){return typeof performance>\"u\"?\"Date.now()\":\"performance.now()\"}var Dr,Jr;function ba(pi){Dr=Et.def(),pi(Dr,\"=\",qt(),\";\"),typeof fr==\"string\"?pi(pr,\".count+=\",fr,\";\"):pi(pr,\".count++;\"),ki&&(ir?(Jr=Et.def(),pi(Jr,\"=\",Xt,\".getNumPendingQueries();\")):pi(Xt,\".beginQuery(\",pr,\");\"))}function yi(pi){pi(pr,\".cpuTime+=\",qt(),\"-\",Dr,\";\"),ki&&(ir?pi(Xt,\".pushScopeStats(\",Jr,\",\",Xt,\".getNumPendingQueries(),\",pr,\");\"):pi(Xt,\".endQuery();\"))}function Xa(pi){var wi=Et.def(lr,\".profile\");Et(lr,\".profile=\",pi,\";\"),Et.exit(lr,\".profile=\",wi,\";\")}var si;if(or){if(sn(or)){or.enable?(ba(Et),yi(Et.exit),Xa(\"true\")):Xa(\"false\");return}si=or.append(gt,Et),Xa(si)}else si=Et.def(lr,\".profile\");var Ji=gt.block();ba(Ji),Et(\"if(\",si,\"){\",Ji,\"}\");var Bi=gt.block();yi(Bi),Et.exit(\"if(\",si,\"){\",Bi,\"}\")}function ve(gt,Et,Ft,ir,fr){var sr=gt.shared;function pr(Xt){switch(Xt){case ss:case ll:case Pl:return 2;case So:case Js:case $l:return 3;case Ko:case es:case Ru:return 4;default:return 1}}function lr(Xt,or,qt){var Dr=sr.gl,Jr=Et.def(Xt,\".location\"),ba=Et.def(sr.attributes,\"[\",Jr,\"]\"),yi=qt.state,Xa=qt.buffer,si=[qt.x,qt.y,qt.z,qt.w],Ji=[\"buffer\",\"normalized\",\"offset\",\"stride\"];function Bi(){Et(\"if(!\",ba,\".buffer){\",Dr,\".enableVertexAttribArray(\",Jr,\");}\");var wi=qt.type,Mi;if(qt.size?Mi=Et.def(qt.size,\"||\",or):Mi=or,Et(\"if(\",ba,\".type!==\",wi,\"||\",ba,\".size!==\",Mi,\"||\",Ji.map(function(cn){return ba+\".\"+cn+\"!==\"+qt[cn]}).join(\"||\"),\"){\",Dr,\".bindBuffer(\",Qr,\",\",Xa,\".buffer);\",Dr,\".vertexAttribPointer(\",[Jr,Mi,wi,qt.normalized,qt.stride,qt.offset],\");\",ba,\".type=\",wi,\";\",ba,\".size=\",Mi,\";\",Ji.map(function(cn){return ba+\".\"+cn+\"=\"+qt[cn]+\";\"}).join(\"\"),\"}\"),gi){var Vi=qt.divisor;Et(\"if(\",ba,\".divisor!==\",Vi,\"){\",gt.instancing,\".vertexAttribDivisorANGLE(\",[Jr,Vi],\");\",ba,\".divisor=\",Vi,\";}\")}}function pi(){Et(\"if(\",ba,\".buffer){\",Dr,\".disableVertexAttribArray(\",Jr,\");\",ba,\".buffer=null;\",\"}if(\",Kn.map(function(wi,Mi){return ba+\".\"+wi+\"!==\"+si[Mi]}).join(\"||\"),\"){\",Dr,\".vertexAttrib4f(\",Jr,\",\",si,\");\",Kn.map(function(wi,Mi){return ba+\".\"+wi+\"=\"+si[Mi]+\";\"}).join(\"\"),\"}\")}yi===Jn?Bi():yi===co?pi():(Et(\"if(\",yi,\"===\",Jn,\"){\"),Bi(),Et(\"}else{\"),pi(),Et(\"}\"))}ir.forEach(function(Xt){var or=Xt.name,qt=Ft.attributes[or],Dr;if(qt){if(!fr(qt))return;Dr=qt.append(gt,Et)}else{if(!fr(Pn))return;var Jr=gt.scopeAttrib(or);Dr={},Object.keys(new Ea).forEach(function(ba){Dr[ba]=Et.def(Jr,\".\",ba)})}lr(gt.link(Xt),pr(Xt.info.type),Dr)})}function Y(gt,Et,Ft,ir,fr,sr){for(var pr=gt.shared,lr=pr.gl,Xt,or=0;or<ir.length;++or){var qt=ir[or],Dr=qt.name,Jr=qt.info.type,ba=Ft.uniforms[Dr],yi=gt.link(qt),Xa=yi+\".location\",si;if(ba){if(!fr(ba))continue;if(sn(ba)){var Ji=ba.value;if(Jr===uc||Jr===ql){var Bi=gt.link(Ji._texture||Ji.color[0]._texture);Et(lr,\".uniform1i(\",Xa,\",\",Bi+\".bind());\"),Et.exit(Bi,\".unbind();\")}else if(Jr===hu||Jr===wl||Jr===su){var pi=gt.global.def(\"new Float32Array([\"+Array.prototype.slice.call(Ji)+\"])\"),wi=2;Jr===wl?wi=3:Jr===su&&(wi=4),Et(lr,\".uniformMatrix\",wi,\"fv(\",Xa,\",false,\",pi,\");\")}else{switch(Jr){case Ao:Xt=\"1f\";break;case ss:Xt=\"2f\";break;case So:Xt=\"3f\";break;case Ko:Xt=\"4f\";break;case ts:Xt=\"1i\";break;case hs:Xt=\"1i\";break;case Pl:Xt=\"2i\";break;case ll:Xt=\"2i\";break;case $l:Xt=\"3i\";break;case Js:Xt=\"3i\";break;case Ru:Xt=\"4i\";break;case es:Xt=\"4i\";break}Et(lr,\".uniform\",Xt,\"(\",Xa,\",\",Ya(Ji)?Array.prototype.slice.call(Ji):Ji,\");\")}continue}else si=ba.append(gt,Et)}else{if(!fr(Pn))continue;si=Et.def(pr.uniforms,\"[\",Yt.id(Dr),\"]\")}Jr===uc?Et(\"if(\",si,\"&&\",si,'._reglType===\"framebuffer\"){',si,\"=\",si,\".color[0];\",\"}\"):Jr===ql&&Et(\"if(\",si,\"&&\",si,'._reglType===\"framebufferCube\"){',si,\"=\",si,\".color[0];\",\"}\");var Mi=1;switch(Jr){case uc:case ql:var Vi=Et.def(si,\"._texture\");Et(lr,\".uniform1i(\",Xa,\",\",Vi,\".bind());\"),Et.exit(Vi,\".unbind();\");continue;case hs:case ts:Xt=\"1i\";break;case ll:case Pl:Xt=\"2i\",Mi=2;break;case Js:case $l:Xt=\"3i\",Mi=3;break;case es:case Ru:Xt=\"4i\",Mi=4;break;case Ao:Xt=\"1f\";break;case ss:Xt=\"2f\",Mi=2;break;case So:Xt=\"3f\",Mi=3;break;case Ko:Xt=\"4f\",Mi=4;break;case hu:Xt=\"Matrix2fv\";break;case wl:Xt=\"Matrix3fv\";break;case su:Xt=\"Matrix4fv\";break}if(Xt.charAt(0)===\"M\"){Et(lr,\".uniform\",Xt,\"(\",Xa,\",\");var cn=Math.pow(Jr-hu+2,2),xo=gt.global.def(\"new Float32Array(\",cn,\")\");Array.isArray(si)?Et(\"false,(\",p(cn,function(Hs){return 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ir=!1,fr=!0;Object.keys(Et.context).forEach(function(ba){ir=ir||Et.context[ba].propDep}),ir||(Fs(gt,Ft,Et.context),fr=!1);var sr=Et.framebuffer,pr=!1;sr?(sr.propDep?ir=pr=!0:sr.contextDep&&ir&&(pr=!0),pr||pl(gt,Ft,sr)):pl(gt,Ft,null),Et.state.viewport&&Et.state.viewport.propDep&&(ir=!0);function lr(ba){return ba.contextDep&&ir||ba.propDep}bl(gt,Ft,Et),Hn(gt,Ft,Et.state,function(ba){return!lr(ba)}),(!Et.profile||!lr(Et.profile))&&Lo(gt,Ft,Et,!1,\"a1\"),Et.contextDep=ir,Et.needsContext=fr,Et.needsFramebuffer=pr;var Xt=Et.shader.progVar;if(Xt.contextDep&&ir||Xt.propDep)$e(gt,Ft,Et,null);else{var or=Xt.append(gt,Ft);if(Ft(gt.shared.gl,\".useProgram(\",or,\".program);\"),Et.shader.program)$e(gt,Ft,Et,Et.shader.program);else{Ft(gt.shared.vao,\".setVAO(null);\");var qt=gt.global.def(\"{}\"),Dr=Ft.def(or,\".id\"),Jr=Ft.def(qt,\"[\",Dr,\"]\");Ft(gt.cond(Jr).then(Jr,\".call(this,a0,a1);\").else(Jr,\"=\",qt,\"[\",Dr,\"]=\",gt.link(function(ba){return 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fr=gt.global,sr=Object.keys(ir),pr=!1,lr=!1,Xt=!1,or=gt.global.def(\"{}\");sr.forEach(function(Dr){var Jr=ir[Dr];if(c.isDynamic(Jr)){typeof Jr==\"function\"&&(Jr=ir[Dr]=c.unbox(Jr));var ba=vn(Jr,null);pr=pr||ba.thisDep,Xt=Xt||ba.propDep,lr=lr||ba.contextDep}else{switch(fr(or,\".\",Dr,\"=\"),typeof Jr){case\"number\":fr(Jr);break;case\"string\":fr('\"',Jr,'\"');break;case\"object\":Array.isArray(Jr)&&fr(\"[\",Jr.join(),\"]\");break;default:fr(gt.link(Jr));break}fr(\";\")}});function qt(Dr,Jr){sr.forEach(function(ba){var yi=ir[ba];if(c.isDynamic(yi)){var Xa=Dr.invoke(Jr,yi);Jr(or,\".\",ba,\"=\",Xa,\";\")}})}Et.dynamic[Ft]=new c.DynamicVariable(xs,{thisDep:pr,contextDep:lr,propDep:Xt,ref:or,append:qt}),delete Et.static[Ft]}function hr(gt,Et,Ft,ir,fr){var sr=nn();sr.stats=sr.link(fr),Object.keys(Et.static).forEach(function(lr){Fr(sr,Et,lr)}),Br.forEach(function(lr){Fr(sr,gt,lr)});var pr=Ql(gt,Et,Ft,ir,sr);return pr.shader.program&&(pr.shader.program.attributes.sort(function(lr,Xt){return 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p=A(f.getImageData(0,0,v,v));if(l.ideographic=v-p-1+_,g.upper&&(f.clearRect(0,0,v,v),f.textBaseline=\"top\",f.fillText(g.upper,0,0),l.upper=A(f.getImageData(0,0,v,v)),l.capHeight=l.baseline-l.upper),g.lower&&(f.clearRect(0,0,v,v),f.textBaseline=\"top\",f.fillText(g.lower,0,0),l.lower=A(f.getImageData(0,0,v,v)),l.xHeight=l.baseline-l.lower),g.tittle&&(f.clearRect(0,0,v,v),f.textBaseline=\"top\",f.fillText(g.tittle,0,0),l.tittle=A(f.getImageData(0,0,v,v))),g.ascent&&(f.clearRect(0,0,v,v),f.textBaseline=\"top\",f.fillText(g.ascent,0,0),l.ascent=A(f.getImageData(0,0,v,v))),g.descent&&(f.clearRect(0,0,v,v),f.textBaseline=\"top\",f.fillText(g.descent,0,0),l.descent=M(f.getImageData(0,0,v,v))),g.overshoot){f.clearRect(0,0,v,v),f.textBaseline=\"top\",f.fillText(g.overshoot,0,0);var u=M(f.getImageData(0,0,v,v));l.overshoot=u-E}for(var m in l)l[m]/=o;return l.em=o,d.cache[r]=l,x(l,s)}function x(e,t){var r={};typeof t==\"string\"&&(t=e[t]);for(var o in e)o!==\"em\"&&(r[o]=e[o]-t);return r}function A(e){for(var t=e.height,r=e.data,o=3;o<r.length;o+=4)if(r[o]!==0)return Math.floor((o-3)*.25/t)}function M(e){for(var t=e.height,r=e.data,o=r.length-1;o>0;o-=4)if(r[o]!==0)return Math.floor((o-3)*.25/t)}}}),Eq=Ze({\"node_modules/gl-text/dist.js\"(Z,q){\"use strict\";var d=gq(),x=Ev(),A=yq(),M=_q(),e=t6(),t=h0(),r=xq(),o=wq(),a=k1(),i=Tq(),n=f6(),s=Aq(),c=Sq(),f=sh(),g=Mq(),v=mg(),T=c6(),l=T.nextPow2,_=new e,w=!1;document.body&&(S=document.body.appendChild(document.createElement(\"div\")),S.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(S).fontStretch&&(w=!0),document.body.removeChild(S));var S,E=function(p){y(p)?(p={regl:p},this.gl=p.regl._gl):this.gl=M(p),this.shader=_.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=p.regl||A({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),_.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(i(p)?p:{})};E.prototype.createShader=function(){var p=this.regl,u=p({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:p.prop(\"count\"),offset:p.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:p.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:p.this(\"sizeBuffer\")},char:p.this(\"charBuffer\"),position:p.this(\"position\")},uniforms:{atlasSize:function(h,P){return[P.atlas.width,P.atlas.height]},atlasDim:function(h,P){return[P.atlas.cols,P.atlas.rows]},atlas:function(h,P){return P.atlas.texture},charStep:function(h,P){return P.atlas.step},em:function(h,P){return P.atlas.em},color:p.prop(\"color\"),opacity:p.prop(\"opacity\"),viewport:p.this(\"viewportArray\"),scale:p.this(\"scale\"),align:p.prop(\"align\"),baseline:p.prop(\"baseline\"),translate:p.this(\"translate\"),positionOffset:p.prop(\"positionOffset\")},primitive:\"points\",viewport:p.this(\"viewport\"),vert:`\n\t\t\tprecision highp float;\n\t\t\tattribute float width, charOffset, char;\n\t\t\tattribute vec2 position;\n\t\t\tuniform float fontSize, charStep, em, align, baseline;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform vec4 color;\n\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvoid main () {\n\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n\t\t\t\t\t/ (viewport.zw * scale.xy);\n\n\t\t\t\tvec2 position = (position + translate) * scale;\n\t\t\t\tposition += offset * scale;\n\n\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n\n\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n\n\t\t\t\tgl_PointSize = charStep;\n\n\t\t\t\tcharId.x = mod(char, atlasDim.x);\n\t\t\t\tcharId.y = floor(char / atlasDim.x);\n\n\t\t\t\tcharWidth = width * em;\n\n\t\t\t\tfontColor = color / 255.;\n\t\t\t}`,frag:`\n\t\t\tprecision highp float;\n\t\t\tuniform float fontSize, charStep, opacity;\n\t\t\tuniform vec2 atlasSize;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform sampler2D atlas;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\n\t\t\tfloat lightness(vec4 color) {\n\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n\t\t\t}\n\n\t\t\tvoid main () {\n\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n\n\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n\t\t\t\tuv.y = charStep - uv.y;\n\n\t\t\t\t// ignore points outside of character bounding box\n\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n\n\t\t\t\tuv += charId * charStep;\n\t\t\t\tuv = uv / atlasSize;\n\n\t\t\t\tvec4 color = fontColor;\n\t\t\t\tvec4 mask = texture2D(atlas, uv);\n\n\t\t\t\tfloat maskY = lightness(mask);\n\t\t\t\t// float colorY = lightness(color);\n\t\t\t\tcolor.a *= maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}`}),m={};return{regl:p,draw:u,atlas:m}},E.prototype.update=function(p){var u=this;if(typeof p==\"string\")p={text:p};else if(!p)return;p=x(p,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0),p.opacity!=null&&(Array.isArray(p.opacity)?this.opacity=p.opacity.map(function(fe){return parseFloat(fe)}):this.opacity=parseFloat(p.opacity)),p.viewport!=null&&(this.viewport=a(p.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),this.viewport==null&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),p.kerning!=null&&(this.kerning=p.kerning),p.offset!=null&&(typeof p.offset==\"number\"&&(p.offset=[p.offset,0]),this.positionOffset=v(p.offset)),p.direction&&(this.direction=p.direction),p.range&&(this.range=p.range,this.scale=[1/(p.range[2]-p.range[0]),1/(p.range[3]-p.range[1])],this.translate=[-p.range[0],-p.range[1]]),p.scale&&(this.scale=p.scale),p.translate&&(this.translate=p.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),!this.font.length&&!p.font&&(p.font=E.baseFontSize+\"px sans-serif\");var m=!1,h=!1;if(p.font&&(Array.isArray(p.font)?p.font:[p.font]).forEach(function(fe,Fe){if(typeof fe==\"string\")try{fe=d.parse(fe)}catch{fe=d.parse(E.baseFontSize+\"px \"+fe)}else{var rt=fe.style,st=fe.weight,Qe=fe.stretch,Lt=fe.variant;fe=d.parse(d.stringify(fe)),rt&&(fe.style=rt),st&&(fe.weight=st),Qe&&(fe.stretch=Qe),Lt&&(fe.variant=Lt)}var kt=d.stringify({size:E.baseFontSize,family:fe.family,stretch:w?fe.stretch:void 0,variant:fe.variant,weight:fe.weight,style:fe.style}),Vt=n(fe.size),Zt=Math.round(Vt[0]*s(Vt[1]));if(Zt!==u.fontSize[Fe]&&(h=!0,u.fontSize[Fe]=Zt),(!u.font[Fe]||kt!=u.font[Fe].baseString)&&(m=!0,u.font[Fe]=E.fonts[kt],!u.font[Fe])){var Sr=fe.family.join(\", \"),xr=[fe.style];fe.style!=fe.variant&&xr.push(fe.variant),fe.variant!=fe.weight&&xr.push(fe.weight),w&&fe.weight!=fe.stretch&&xr.push(fe.stretch),u.font[Fe]={baseString:kt,family:Sr,weight:fe.weight,stretch:fe.stretch,style:fe.style,variant:fe.variant,width:{},kerning:{},metrics:g(Sr,{origin:\"top\",fontSize:E.baseFontSize,fontStyle:xr.join(\" \")})},E.fonts[kt]=u.font[Fe]}}),(m||h)&&this.font.forEach(function(fe,Fe){var rt=d.stringify({size:u.fontSize[Fe],family:fe.family,stretch:w?fe.stretch:void 0,variant:fe.variant,weight:fe.weight,style:fe.style});if(u.fontAtlas[Fe]=u.shader.atlas[rt],!u.fontAtlas[Fe]){var st=fe.metrics;u.shader.atlas[rt]=u.fontAtlas[Fe]={fontString:rt,step:Math.ceil(u.fontSize[Fe]*st.bottom*.5)*2,em:u.fontSize[Fe],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:u.regl.texture()}}p.text==null&&(p.text=u.text)}),typeof p.text==\"string\"&&p.position&&p.position.length>2){for(var P=Array(p.position.length*.5),L=0;L<P.length;L++)P[L]=p.text;p.text=P}var z;if(p.text!=null||m){if(this.textOffsets=[0],Array.isArray(p.text)){this.count=p.text[0].length,this.counts=[this.count];for(var F=1;F<p.text.length;F++)this.textOffsets[F]=this.textOffsets[F-1]+p.text[F-1].length,this.count+=p.text[F].length,this.counts.push(p.text[F].length);this.text=p.text.join(\"\")}else this.text=p.text,this.count=this.text.length,this.counts=[this.count];z=[],this.font.forEach(function(fe,Fe){E.atlasContext.font=fe.baseString;for(var rt=u.fontAtlas[Fe],st=0;st<u.text.length;st++){var Qe=u.text.charAt(st);if(rt.ids[Qe]==null&&(rt.ids[Qe]=rt.chars.length,rt.chars.push(Qe),z.push(Qe)),fe.width[Qe]==null&&(fe.width[Qe]=E.atlasContext.measureText(Qe).width/E.baseFontSize,u.kerning)){var Lt=[];for(var kt in fe.width)Lt.push(kt+Qe,Qe+kt);f(fe.kerning,c(fe.family,{pairs:Lt}))}}})}if(p.position)if(p.position.length>2){for(var B=!p.position[0].length,O=o.mallocFloat(this.count*2),I=0,N=0;I<this.counts.length;I++){var U=this.counts[I];if(B)for(var W=0;W<U;W++)O[N++]=p.position[I*2],O[N++]=p.position[I*2+1];else for(var Q=0;Q<U;Q++)O[N++]=p.position[I][0],O[N++]=p.position[I][1]}this.position.call?this.position({type:\"float\",data:O}):this.position=this.regl.buffer({type:\"float\",data:O}),o.freeFloat(O)}else this.position.destroy&&this.position.destroy(),this.position={constant:p.position};if(p.text||m){var ue=o.mallocUint8(this.count),le=o.mallocFloat(this.count*2);this.textWidth=[];for(var he=0,G=0;he<this.counts.length;he++){for(var $=this.counts[he],J=this.font[he]||this.font[0],X=this.fontAtlas[he]||this.fontAtlas[0],oe=0;oe<$;oe++){var ie=this.text.charAt(G),j=this.text.charAt(G-1);if(ue[G]=X.ids[ie],le[G*2]=J.width[ie],oe){var ee=le[G*2-2],re=le[G*2],ce=le[G*2-1],be=ce+ee*.5+re*.5;if(this.kerning){var Ae=J.kerning[j+ie];Ae&&(be+=Ae*.001)}le[G*2+1]=be}else le[G*2+1]=le[G*2]*.5;G++}this.textWidth.push(le.length?le[G*2-2]*.5+le[G*2-1]:0)}p.align||(p.align=this.align),this.charBuffer({data:ue,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:le,type:\"float\",usage:\"stream\"}),o.freeUint8(ue),o.freeFloat(le),z.length&&this.font.forEach(function(fe,Fe){var rt=u.fontAtlas[Fe],st=rt.step,Qe=Math.floor(E.maxAtlasSize/st),Lt=Math.min(Qe,rt.chars.length),kt=Math.ceil(rt.chars.length/Lt),Vt=l(Lt*st),Zt=l(kt*st);rt.width=Vt,rt.height=Zt,rt.rows=kt,rt.cols=Lt,rt.em&&rt.texture({data:r({canvas:E.atlasCanvas,font:rt.fontString,chars:rt.chars,shape:[Vt,Zt],step:[st,st]})})})}if(p.align&&(this.align=p.align,this.alignOffset=this.textWidth.map(function(fe,Fe){var rt=Array.isArray(u.align)?u.align.length>1?u.align[Fe]:u.align[0]:u.align;if(typeof rt==\"number\")return rt;switch(rt){case\"right\":case\"end\":return-fe;case\"center\":case\"centre\":case\"middle\":return-fe*.5}return 0})),this.baseline==null&&p.baseline==null&&(p.baseline=0),p.baseline!=null&&(this.baseline=p.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(fe,Fe){var rt=(u.font[Fe]||u.font[0]).metrics,st=0;return st+=rt.bottom*.5,typeof fe==\"number\"?st+=fe-rt.baseline:st+=-rt[fe],st*=-1,st})),p.color!=null)if(p.color||(p.color=\"transparent\"),typeof p.color==\"string\"||!isNaN(p.color))this.color=t(p.color,\"uint8\");else{var ze;if(typeof p.color[0]==\"number\"&&p.color.length>this.counts.length){var Re=p.color.length;ze=o.mallocUint8(Re);for(var Xe=(p.color.subarray||p.color.slice).bind(p.color),it=0;it<Re;it+=4)ze.set(t(Xe(it,it+4),\"uint8\"),it)}else{var ot=p.color.length;ze=o.mallocUint8(ot*4);for(var tt=0;tt<ot;tt++)ze.set(t(p.color[tt]||0,\"uint8\"),tt*4)}this.color=ze}if(p.position||p.text||p.color||p.baseline||p.align||p.font||p.offset||p.opacity){var lt=this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2;if(lt){var Ee=Math.max(this.position.length*.5||0,this.color.length*.25||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,this.positionOffset.length*.5||0);this.batch=Array(Ee);for(var _e=0;_e<this.batch.length;_e++)this.batch[_e]={count:this.counts.length>1?this.counts[_e]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[_e]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(_e*4,_e*4+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[_e]:this.opacity,baseline:this.baselineOffset[_e]!=null?this.baselineOffset[_e]:this.baselineOffset[0],align:this.align?this.alignOffset[_e]!=null?this.alignOffset[_e]:this.alignOffset[0]:0,atlas:this.fontAtlas[_e]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(_e*2,_e*2+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]}},E.prototype.destroy=function(){},E.prototype.kerning=!0,E.prototype.position={constant:new Float32Array(2)},E.prototype.translate=null,E.prototype.scale=null,E.prototype.font=null,E.prototype.text=\"\",E.prototype.positionOffset=[0,0],E.prototype.opacity=1,E.prototype.color=new Uint8Array([0,0,0,255]),E.prototype.alignOffset=[0,0],E.maxAtlasSize=1024,E.atlasCanvas=document.createElement(\"canvas\"),E.atlasContext=E.atlasCanvas.getContext(\"2d\",{alpha:!1}),E.baseFontSize=64,E.fonts={};function y(b){return typeof b==\"function\"&&b._gl&&b.prop&&b.texture&&b.buffer}q.exports=E}}),Cq=Ze({\"node_modules/@plotly/regl/dist/regl.unchecked.js\"(Z,q){(function(d,x){typeof Z==\"object\"&&typeof 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fr==\"object\")if(sr)Gn(gt[0],fr),Gn(gt[1],sr),Gn(gt[2],pr),Gn(gt[3],lr),Gn(gt[4],Xt),Gn(gt[5],or);else if(Al(Dr,fr),$i(hr,fr),\"faces\"in fr){var ba=fr.faces;for(qt=0;qt<6;++qt)Va(gt[qt],hr),Gn(gt[qt],ba[qt])}else for(qt=0;qt<6;++qt)Gn(gt[qt],fr);for(Va(hr,gt[0]),Dr.genMipmaps?hr.mipmask=(gt[0].width<<1)-1:hr.mipmask=gt[0].mipmask,hr.internalformat=gt[0].internalformat,Et.width=gt[0].width,Et.height=gt[0].height,Cl(hr),qt=0;qt<6;++qt)Ps(gt[qt],Li+qt);for(El(Dr,Xi),Lo(),wa.profile&&(hr.stats.size=oc(hr.internalformat,hr.type,Et.width,Et.height,Dr.genMipmaps,!0)),Et.format=ii[hr.internalformat],Et.type=gi[hr.type],Et.mag=Wa[Dr.magFilter],Et.min=ji[Dr.minFilter],Et.wrapS=Ii[Dr.wrapS],Et.wrapT=Ii[Dr.wrapT],qt=0;qt<6;++qt)Hl(gt[qt]);return Et}function Ft(fr,sr,pr,lr,Xt){var or=pr|0,qt=lr|0,Dr=Xt|0,Jr=Di();return Va(Jr,hr),Jr.width=0,Jr.height=0,Ti(Jr,sr),Jr.width=Jr.width||(hr.width>>Dr)-or,Jr.height=Jr.height||(hr.height>>Dr)-qt,Cl(hr),mn(Jr,Li+fr,or,qt,Dr),Lo(),nn(Jr),Et}function ir(fr){var sr=fr|0;if(sr!==hr.width){Et.width=hr.width=sr,Et.height=hr.height=sr,Cl(hr);for(var pr=0;pr<6;++pr)for(var lr=0;hr.mipmask>>lr;++lr)nt.texImage2D(Li+pr,lr,hr.format,sr>>lr,sr>>lr,0,hr.format,hr.type,null);return Lo(),wa.profile&&(hr.stats.size=oc(hr.internalformat,hr.type,Et.width,Et.height,!1,!0)),Et}}return Et(Le,$e,mt,jt,_r,Fr),Et.subimage=Ft,Et.resize=ir,Et._reglType=\"textureCube\",Et._texture=hr,wa.profile&&(Et.stats=hr.stats),Et.destroy=function(){hr.decRef()},Et}function te(){for(var Le=0;Le<pl;++Le)nt.activeTexture(Ou+Le),nt.bindTexture(Da,null),bl[Le]=null;bt(Fs).forEach(ve),xa.cubeCount=0,xa.textureCount=0}wa.profile&&(xa.getTotalTextureSize=function(){var Le=0;return Object.keys(Fs).forEach(function($e){Le+=Fs[$e].stats.size}),Le});function me(){for(var Le=0;Le<pl;++Le){var $e=bl[Le];$e&&($e.bindCount=0,$e.unit=-1,bl[Le]=null)}bt(Fs).forEach(function(mt){mt.texture=nt.createTexture(),nt.bindTexture(mt.target,mt.texture);for(var jt=0;jt<32;++jt)if(mt.mipmask&1<<jt)if(mt.target===Da)nt.texImage2D(Da,jt,mt.internalformat,mt.width>>jt,mt.height>>jt,0,mt.internalformat,mt.type,null);else for(var _r=0;_r<6;++_r)nt.texImage2D(Li+_r,jt,mt.internalformat,mt.width>>jt,mt.height>>jt,0,mt.internalformat,mt.type,null);El(mt.texInfo,mt.target)})}function Ge(){for(var Le=0;Le<pl;++Le){var $e=bl[Le];$e&&($e.bindCount=0,$e.unit=-1,bl[Le]=null),nt.activeTexture(Ou+Le),nt.bindTexture(Da,null),nt.bindTexture(Xi,null)}}return{create2D:Y,createCube:ye,clear:te,getTexture:function(Le){return null},restore:me,refresh:Ge}}var Jl=36161,Uc=32854,Tc=32855,Gs=36194,Cf=33189,lh=36168,Bf=34041,Wc=35907,Kf=34836,ku=34842,Nf=34843,ml=[];ml[Uc]=2,ml[Tc]=2,ml[Gs]=2,ml[Cf]=2,ml[lh]=1,ml[Bf]=4,ml[Wc]=4,ml[Kf]=16,ml[ku]=8,ml[Nf]=6;function Lu(nt,Yt,cr){return ml[nt]*Yt*cr}var Ac=function(nt,Yt,cr,ua,Aa){var xa={rgba4:Uc,rgb565:Gs,\"rgb5 a1\":Tc,depth:Cf,stencil:lh,\"depth stencil\":Bf};Yt.ext_srgb&&(xa.srgba=Wc),Yt.ext_color_buffer_half_float&&(xa.rgba16f=ku,xa.rgb16f=Nf),Yt.webgl_color_buffer_float&&(xa.rgba32f=Kf);var wa=[];Object.keys(xa).forEach(function(ki){var qa=xa[ki];wa[qa]=ki});var Ja=0,Ai={};function bi(ki){this.id=Ja++,this.refCount=1,this.renderbuffer=ki,this.format=Uc,this.width=0,this.height=0,Aa.profile&&(this.stats={size:0})}bi.prototype.decRef=function(){--this.refCount<=0&&fi(this)};function fi(ki){var qa=ki.renderbuffer;nt.bindRenderbuffer(Jl,null),nt.deleteRenderbuffer(qa),ki.renderbuffer=null,ki.refCount=0,delete Ai[ki.id],ua.renderbufferCount--}function yn(ki,qa){var ea=new bi(nt.createRenderbuffer());Ai[ea.id]=ea,ua.renderbufferCount++;function Ea(gi,Wa){var ji=0,Ii=0,hn=Uc;if(typeof gi==\"object\"&&gi){var Za=gi;if(\"shape\"in Za){var Va=Za.shape;ji=Va[0]|0,Ii=Va[1]|0}else\"radius\"in Za&&(ji=Ii=Za.radius|0),\"width\"in Za&&(ji=Za.width|0),\"height\"in Za&&(Ii=Za.height|0);\"format\"in Za&&(hn=xa[Za.format])}else typeof gi==\"number\"?(ji=gi|0,typeof Wa==\"number\"?Ii=Wa|0:Ii=ji):gi||(ji=Ii=1);if(!(ji===ea.width&&Ii===ea.height&&hn===ea.format))return Ea.width=ea.width=ji,Ea.height=ea.height=Ii,ea.format=hn,nt.bindRenderbuffer(Jl,ea.renderbuffer),nt.renderbufferStorage(Jl,hn,ji,Ii),Aa.profile&&(ea.stats.size=Lu(ea.format,ea.width,ea.height)),Ea.format=wa[ea.format],Ea}function ii(gi,Wa){var ji=gi|0,Ii=Wa|0||ji;return ji===ea.width&&Ii===ea.height||(Ea.width=ea.width=ji,Ea.height=ea.height=Ii,nt.bindRenderbuffer(Jl,ea.renderbuffer),nt.renderbufferStorage(Jl,ea.format,ji,Ii),Aa.profile&&(ea.stats.size=Lu(ea.format,ea.width,ea.height))),Ea}return Ea(ki,qa),Ea.resize=ii,Ea._reglType=\"renderbuffer\",Ea._renderbuffer=ea,Aa.profile&&(Ea.stats=ea.stats),Ea.destroy=function(){ea.decRef()},Ea}Aa.profile&&(ua.getTotalRenderbufferSize=function(){var ki=0;return Object.keys(Ai).forEach(function(qa){ki+=Ai[qa].stats.size}),ki});function Oi(){bt(Ai).forEach(function(ki){ki.renderbuffer=nt.createRenderbuffer(),nt.bindRenderbuffer(Jl,ki.renderbuffer),nt.renderbufferStorage(Jl,ki.format,ki.width,ki.height)}),nt.bindRenderbuffer(Jl,null)}return{create:yn,clear:function(){bt(Ai).forEach(fi)},restore:Oi}},nl=36160,dc=36161,vu=3553,bu=34069,Ml=36064,Uf=36096,Jf=36128,Bu=33306,Sc=36053,vc=36193,Lh=5121,nf=5126,df=6407,Nu=6408,of=[];of[Nu]=4,of[df]=3;var tu=[];tu[Lh]=1,tu[nf]=4,tu[vc]=2;function Xc(nt,Yt,cr,ua,Aa,xa){var wa={cur:null,next:null,dirty:!1,setFBO:null},Ja=[\"rgba\"],Ai=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];Yt.ext_srgb&&Ai.push(\"srgba\"),Yt.ext_color_buffer_half_float&&Ai.push(\"rgba16f\",\"rgb16f\"),Yt.webgl_color_buffer_float&&Ai.push(\"rgba32f\");var bi=[\"uint8\"];Yt.oes_texture_half_float&&bi.push(\"half float\",\"float16\"),Yt.oes_texture_float&&bi.push(\"float\",\"float32\");function fi(Si,Ti,Ki){this.target=Si,this.texture=Ti,this.renderbuffer=Ki;var mn=0,In=0;Ti?(mn=Ti.width,In=Ti.height):Ki&&(mn=Ki.width,In=Ki.height),this.width=mn,this.height=In}function yn(Si){Si&&(Si.texture&&Si.texture._texture.decRef(),Si.renderbuffer&&Si.renderbuffer._renderbuffer.decRef())}function Oi(Si,Ti,Ki){if(Si)if(Si.texture){var mn=Si.texture._texture,In=Math.max(1,mn.width),Di=Math.max(1,mn.height);mn.refCount+=1}else{var nn=Si.renderbuffer._renderbuffer;nn.refCount+=1}}function ki(Si,Ti){Ti&&(Ti.texture?nt.framebufferTexture2D(nl,Si,Ti.target,Ti.texture._texture.texture,0):nt.framebufferRenderbuffer(nl,Si,dc,Ti.renderbuffer._renderbuffer.renderbuffer))}function qa(Si){var Ti=vu,Ki=null,mn=null,In=Si;typeof Si==\"object\"&&(In=Si.data,\"target\"in Si&&(Ti=Si.target|0));var Di=In._reglType;return Di===\"texture2d\"||Di===\"textureCube\"?Ki=In:Di===\"renderbuffer\"&&(mn=In,Ti=dc),new fi(Ti,Ki,mn)}function ea(Si,Ti,Ki,mn,In){if(Ki){var Di=ua.create2D({width:Si,height:Ti,format:mn,type:In});return Di._texture.refCount=0,new fi(vu,Di,null)}else{var nn=Aa.create({width:Si,height:Ti,format:mn});return nn._renderbuffer.refCount=0,new fi(dc,null,nn)}}function Ea(Si){return Si&&(Si.texture||Si.renderbuffer)}function ii(Si,Ti,Ki){Si&&(Si.texture?Si.texture.resize(Ti,Ki):Si.renderbuffer&&Si.renderbuffer.resize(Ti,Ki),Si.width=Ti,Si.height=Ki)}var gi=0,Wa={};function ji(){this.id=gi++,Wa[this.id]=this,this.framebuffer=nt.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Ii(Si){Si.colorAttachments.forEach(yn),yn(Si.depthAttachment),yn(Si.stencilAttachment),yn(Si.depthStencilAttachment)}function hn(Si){var Ti=Si.framebuffer;nt.deleteFramebuffer(Ti),Si.framebuffer=null,xa.framebufferCount--,delete Wa[Si.id]}function Za(Si){var Ti;nt.bindFramebuffer(nl,Si.framebuffer);var Ki=Si.colorAttachments;for(Ti=0;Ti<Ki.length;++Ti)ki(Ml+Ti,Ki[Ti]);for(Ti=Ki.length;Ti<cr.maxColorAttachments;++Ti)nt.framebufferTexture2D(nl,Ml+Ti,vu,null,0);nt.framebufferTexture2D(nl,Bu,vu,null,0),nt.framebufferTexture2D(nl,Uf,vu,null,0),nt.framebufferTexture2D(nl,Jf,vu,null,0),ki(Uf,Si.depthAttachment),ki(Jf,Si.stencilAttachment),ki(Bu,Si.depthStencilAttachment);var mn=nt.checkFramebufferStatus(nl);nt.isContextLost(),nt.bindFramebuffer(nl,wa.next?wa.next.framebuffer:null),wa.cur=wa.next,nt.getError()}function Va(Si,Ti){var Ki=new ji;xa.framebufferCount++;function mn(Di,nn){var En,Rn=0,Gn=0,Ps=!0,xl=!0,ho=null,Hl=!0,fs=\"rgba\",Al=\"uint8\",El=1,Ql=null,Fs=null,pl=null,bl=!1;if(typeof Di==\"number\")Rn=Di|0,Gn=nn|0||Rn;else if(!Di)Rn=Gn=1;else{var Hn=Di;if(\"shape\"in Hn){var Cl=Hn.shape;Rn=Cl[0],Gn=Cl[1]}else\"radius\"in Hn&&(Rn=Gn=Hn.radius),\"width\"in Hn&&(Rn=Hn.width),\"height\"in Hn&&(Gn=Hn.height);(\"color\"in Hn||\"colors\"in Hn)&&(ho=Hn.color||Hn.colors,Array.isArray(ho)),ho||(\"colorCount\"in Hn&&(El=Hn.colorCount|0),\"colorTexture\"in Hn&&(Hl=!!Hn.colorTexture,fs=\"rgba4\"),\"colorType\"in Hn&&(Al=Hn.colorType,Hl||(Al===\"half float\"||Al===\"float16\"?fs=\"rgba16f\":(Al===\"float\"||Al===\"float32\")&&(fs=\"rgba32f\"))),\"colorFormat\"in Hn&&(fs=Hn.colorFormat,Ja.indexOf(fs)>=0?Hl=!0:Ai.indexOf(fs)>=0&&(Hl=!1))),(\"depthTexture\"in Hn||\"depthStencilTexture\"in Hn)&&(bl=!!(Hn.depthTexture||Hn.depthStencilTexture)),\"depth\"in Hn&&(typeof Hn.depth==\"boolean\"?Ps=Hn.depth:(Ql=Hn.depth,xl=!1)),\"stencil\"in Hn&&(typeof Hn.stencil==\"boolean\"?xl=Hn.stencil:(Fs=Hn.stencil,Ps=!1)),\"depthStencil\"in Hn&&(typeof Hn.depthStencil==\"boolean\"?Ps=xl=Hn.depthStencil:(pl=Hn.depthStencil,Ps=!1,xl=!1))}var Lo=null,ve=null,Y=null,ye=null;if(Array.isArray(ho))Lo=ho.map(qa);else if(ho)Lo=[qa(ho)];else for(Lo=new Array(El),En=0;En<El;++En)Lo[En]=ea(Rn,Gn,Hl,fs,Al);Rn=Rn||Lo[0].width,Gn=Gn||Lo[0].height,Ql?ve=qa(Ql):Ps&&!xl&&(ve=ea(Rn,Gn,bl,\"depth\",\"uint32\")),Fs?Y=qa(Fs):xl&&!Ps&&(Y=ea(Rn,Gn,!1,\"stencil\",\"uint8\")),pl?ye=qa(pl):!Ql&&!Fs&&xl&&Ps&&(ye=ea(Rn,Gn,bl,\"depth stencil\",\"depth stencil\"));var te=null;for(En=0;En<Lo.length;++En)if(Oi(Lo[En],Rn,Gn),Lo[En]&&Lo[En].texture){var me=of[Lo[En].texture._texture.format]*tu[Lo[En].texture._texture.type];te===null&&(te=me)}return Oi(ve,Rn,Gn),Oi(Y,Rn,Gn),Oi(ye,Rn,Gn),Ii(Ki),Ki.width=Rn,Ki.height=Gn,Ki.colorAttachments=Lo,Ki.depthAttachment=ve,Ki.stencilAttachment=Y,Ki.depthStencilAttachment=ye,mn.color=Lo.map(Ea),mn.depth=Ea(ve),mn.stencil=Ea(Y),mn.depthStencil=Ea(ye),mn.width=Ki.width,mn.height=Ki.height,Za(Ki),mn}function In(Di,nn){var En=Math.max(Di|0,1),Rn=Math.max(nn|0||En,1);if(En===Ki.width&&Rn===Ki.height)return mn;for(var Gn=Ki.colorAttachments,Ps=0;Ps<Gn.length;++Ps)ii(Gn[Ps],En,Rn);return ii(Ki.depthAttachment,En,Rn),ii(Ki.stencilAttachment,En,Rn),ii(Ki.depthStencilAttachment,En,Rn),Ki.width=mn.width=En,Ki.height=mn.height=Rn,Za(Ki),mn}return mn(Si,Ti),d(mn,{resize:In,_reglType:\"framebuffer\",_framebuffer:Ki,destroy:function(){hn(Ki),Ii(Ki)},use:function(Di){wa.setFBO({framebuffer:mn},Di)}})}function $i(Si){var Ti=Array(6);function Ki(In){var Di,nn={color:null},En=0,Rn=null,Gn=\"rgba\",Ps=\"uint8\",xl=1;if(typeof In==\"number\")En=In|0;else if(!In)En=1;else{var ho=In;if(\"shape\"in ho){var Hl=ho.shape;En=Hl[0]}else\"radius\"in ho&&(En=ho.radius|0),\"width\"in ho?(En=ho.width|0,\"height\"in ho):\"height\"in ho&&(En=ho.height|0);(\"color\"in ho||\"colors\"in ho)&&(Rn=ho.color||ho.colors,Array.isArray(Rn)),Rn||(\"colorCount\"in ho&&(xl=ho.colorCount|0),\"colorType\"in ho&&(Ps=ho.colorType),\"colorFormat\"in ho&&(Gn=ho.colorFormat)),\"depth\"in ho&&(nn.depth=ho.depth),\"stencil\"in ho&&(nn.stencil=ho.stencil),\"depthStencil\"in ho&&(nn.depthStencil=ho.depthStencil)}var fs;if(Rn)if(Array.isArray(Rn))for(fs=[],Di=0;Di<Rn.length;++Di)fs[Di]=Rn[Di];else fs=[Rn];else{fs=Array(xl);var Al={radius:En,format:Gn,type:Ps};for(Di=0;Di<xl;++Di)fs[Di]=ua.createCube(Al)}for(nn.color=Array(fs.length),Di=0;Di<fs.length;++Di){var El=fs[Di];En=En||El.width,nn.color[Di]={target:bu,data:fs[Di]}}for(Di=0;Di<6;++Di){for(var Ql=0;Ql<fs.length;++Ql)nn.color[Ql].target=bu+Di;Di>0&&(nn.depth=Ti[0].depth,nn.stencil=Ti[0].stencil,nn.depthStencil=Ti[0].depthStencil),Ti[Di]?Ti[Di](nn):Ti[Di]=Va(nn)}return d(Ki,{width:En,height:En,color:fs})}function mn(In){var Di,nn=In|0;if(nn===Ki.width)return Ki;var En=Ki.color;for(Di=0;Di<En.length;++Di)En[Di].resize(nn);for(Di=0;Di<6;++Di)Ti[Di].resize(nn);return Ki.width=Ki.height=nn,Ki}return Ki(Si),d(Ki,{faces:Ti,resize:mn,_reglType:\"framebufferCube\",destroy:function(){Ti.forEach(function(In){In.destroy()})}})}function zi(){wa.cur=null,wa.next=null,wa.dirty=!0,bt(Wa).forEach(function(Si){Si.framebuffer=nt.createFramebuffer(),Za(Si)})}return d(wa,{getFramebuffer:function(Si){if(typeof Si==\"function\"&&Si._reglType===\"framebuffer\"){var Ti=Si._framebuffer;if(Ti instanceof ji)return Ti}return null},create:Va,createCube:$i,clear:function(){bt(Wa).forEach(hn)},restore:zi})}var uh=5126,vf=34962,ol=34963;function mu(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=uh,this.offset=0,this.stride=0,this.divisor=0}function Pu(nt,Yt,cr,ua,Aa,xa,wa){for(var Ja=cr.maxAttributes,Ai=new Array(Ja),bi=0;bi<Ja;++bi)Ai[bi]=new mu;var fi=0,yn={},Oi={Record:mu,scope:{},state:Ai,currentVAO:null,targetVAO:null,restore:qa()?Ii:function(){},createVAO:hn,getVAO:Ea,destroyBuffer:ki,setVAO:qa()?ii:gi,clear:qa()?Wa:function(){}};function ki(Za){for(var Va=0;Va<Ai.length;++Va){var $i=Ai[Va];$i.buffer===Za&&(nt.disableVertexAttribArray(Va),$i.buffer=null)}}function qa(){return Yt.oes_vertex_array_object}function ea(){return Yt.angle_instanced_arrays}function Ea(Za){return typeof Za==\"function\"&&Za._vao?Za._vao:null}function ii(Za){if(Za!==Oi.currentVAO){var Va=qa();Za?Va.bindVertexArrayOES(Za.vao):Va.bindVertexArrayOES(null),Oi.currentVAO=Za}}function gi(Za){if(Za!==Oi.currentVAO){if(Za)Za.bindAttrs();else{for(var Va=ea(),$i=0;$i<Ai.length;++$i){var zi=Ai[$i];zi.buffer?(nt.enableVertexAttribArray($i),zi.buffer.bind(),nt.vertexAttribPointer($i,zi.size,zi.type,zi.normalized,zi.stride,zi.offfset),Va&&zi.divisor&&Va.vertexAttribDivisorANGLE($i,zi.divisor)):(nt.disableVertexAttribArray($i),nt.vertexAttrib4f($i,zi.x,zi.y,zi.z,zi.w))}wa.elements?nt.bindBuffer(ol,wa.elements.buffer.buffer):nt.bindBuffer(ol,null)}Oi.currentVAO=Za}}function Wa(){bt(yn).forEach(function(Za){Za.destroy()})}function ji(){this.id=++fi,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var Za=qa();Za?this.vao=Za.createVertexArrayOES():this.vao=null,yn[this.id]=this,this.buffers=[]}ji.prototype.bindAttrs=function(){for(var Za=ea(),Va=this.attributes,$i=0;$i<Va.length;++$i){var zi=Va[$i];zi.buffer?(nt.enableVertexAttribArray($i),nt.bindBuffer(vf,zi.buffer.buffer),nt.vertexAttribPointer($i,zi.size,zi.type,zi.normalized,zi.stride,zi.offset),Za&&zi.divisor&&Za.vertexAttribDivisorANGLE($i,zi.divisor)):(nt.disableVertexAttribArray($i),nt.vertexAttrib4f($i,zi.x,zi.y,zi.z,zi.w))}for(var Si=Va.length;Si<Ja;++Si)nt.disableVertexAttribArray(Si);var Ti=xa.getElements(this.elements);Ti?nt.bindBuffer(ol,Ti.buffer.buffer):nt.bindBuffer(ol,null)},ji.prototype.refresh=function(){var Za=qa();Za&&(Za.bindVertexArrayOES(this.vao),this.bindAttrs(),Oi.currentVAO=null,Za.bindVertexArrayOES(null))},ji.prototype.destroy=function(){if(this.vao){var Za=qa();this===Oi.currentVAO&&(Oi.currentVAO=null,Za.bindVertexArrayOES(null)),Za.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),yn[this.id]&&(delete yn[this.id],ua.vaoCount-=1)};function Ii(){var Za=qa();Za&&bt(yn).forEach(function(Va){Va.refresh()})}function hn(Za){var Va=new ji;ua.vaoCount+=1;function $i(zi){var Si;if(Array.isArray(zi))Si=zi,Va.elements&&Va.ownsElements&&Va.elements.destroy(),Va.elements=null,Va.ownsElements=!1,Va.offset=0,Va.count=0,Va.instances=-1,Va.primitive=4;else{if(zi.elements){var Ti=zi.elements;Va.ownsElements?typeof Ti==\"function\"&&Ti._reglType===\"elements\"?(Va.elements.destroy(),Va.ownsElements=!1):(Va.elements(Ti),Va.ownsElements=!1):xa.getElements(zi.elements)?(Va.elements=zi.elements,Va.ownsElements=!1):(Va.elements=xa.create(zi.elements),Va.ownsElements=!0)}else 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mn={gl:nt,context:Oi,strings:Yt,next:hn,current:Ii,draw:yn,elements:xa,buffer:Aa,shader:fi,attributes:bi.state,vao:bi,uniforms:Ai,framebuffer:Ja,extensions:cr,timer:ki,isBufferArgs:vi},In={primTypes:xt,compareFuncs:Ma,blendFuncs:ni,blendEquations:ii,stencilOps:Na,glTypes:la,orientationType:Ka};Wa&&(In.backBuffer=[De],In.drawBuffer=p(ua.maxDrawbuffers,function(gt){return gt===0?[0]:p(gt,function(Et){return ri+Et})}));var Di=0;function nn(){var gt=Mn({cache:qa}),Et=gt.link,Ft=gt.global;gt.id=Di++,gt.batchId=\"0\";var ir=Et(mn),fr=gt.shared={props:\"a0\"};Object.keys(mn).forEach(function(or){fr[or]=Ft.def(ir,\".\",or)});var sr=gt.next={},pr=gt.current={};Object.keys($i).forEach(function(or){Array.isArray(Ii[or])&&(sr[or]=Ft.def(fr.next,\".\",or),pr[or]=Ft.def(fr.current,\".\",or))});var lr=gt.constants={};Object.keys(In).forEach(function(or){lr[or]=Ft.def(JSON.stringify(In[or]))}),gt.invoke=function(or,qt){switch(qt.type){case wn:var Dr=[\"this\",fr.context,fr.props,gt.batchId];return or.def(Et(qt.data),\".call(\",Dr.slice(0,Math.max(qt.data.length+1,4)),\")\");case un:return or.def(fr.props,qt.data);case _o:return or.def(fr.context,qt.data);case Qo:return or.def(\"this\",qt.data);case xs:return qt.data.append(gt,or),qt.data.ref;case Qs:return qt.data.toString();case Rs:return qt.data.map(function(Jr){return gt.invoke(or,Jr)})}},gt.attribCache={};var Xt={};return gt.scopeAttrib=function(or){var qt=Yt.id(or);if(qt in Xt)return Xt[qt];var Dr=bi.scope[qt];Dr||(Dr=bi.scope[qt]=new Ea);var Jr=Xt[qt]=Et(Dr);return Jr},gt}function En(gt){var Et=gt.static,Ft=gt.dynamic,ir;if(Oe in Et){var fr=!!Et[Oe];ir=an(function(pr,lr){return fr}),ir.enable=fr}else if(Oe in Ft){var sr=Ft[Oe];ir=vn(sr,function(pr,lr){return pr.invoke(lr,sr)})}return ir}function Rn(gt,Et){var Ft=gt.static,ir=gt.dynamic;if(pt in Ft){var fr=Ft[pt];return fr?(fr=Ja.getFramebuffer(fr),an(function(pr,lr){var Xt=pr.link(fr),or=pr.shared;lr.set(or.framebuffer,\".next\",Xt);var qt=or.context;return lr.set(qt,\".\"+dt,Xt+\".width\"),lr.set(qt,\".\"+Ct,Xt+\".height\"),Xt})):an(function(pr,lr){var Xt=pr.shared;lr.set(Xt.framebuffer,\".next\",\"null\");var or=Xt.context;return lr.set(or,\".\"+dt,or+\".\"+mr),lr.set(or,\".\"+Ct,or+\".\"+Er),\"null\"})}else if(pt in ir){var sr=ir[pt];return vn(sr,function(pr,lr){var Xt=pr.invoke(lr,sr),or=pr.shared,qt=or.framebuffer,Dr=lr.def(qt,\".getFramebuffer(\",Xt,\")\");lr.set(qt,\".next\",Dr);var Jr=or.context;return lr.set(Jr,\".\"+dt,Dr+\"?\"+Dr+\".width:\"+Jr+\".\"+mr),lr.set(Jr,\".\"+Ct,Dr+\"?\"+Dr+\".height:\"+Jr+\".\"+Er),Dr})}else return null}function Gn(gt,Et,Ft){var ir=gt.static,fr=gt.dynamic;function sr(Xt){if(Xt in ir){var or=ir[Xt],qt=!0,Dr=or.x|0,Jr=or.y|0,ba,yi;return\"width\"in or?ba=or.width|0:qt=!1,\"height\"in or?yi=or.height|0:qt=!1,new Pa(!qt&&Et&&Et.thisDep,!qt&&Et&&Et.contextDep,!qt&&Et&&Et.propDep,function(Ji,Bi){var pi=Ji.shared.context,wi=ba;\"width\"in or||(wi=Bi.def(pi,\".\",dt,\"-\",Dr));var Mi=yi;return\"height\"in or||(Mi=Bi.def(pi,\".\",Ct,\"-\",Jr)),[Dr,Jr,wi,Mi]})}else if(Xt in fr){var Xa=fr[Xt],si=vn(Xa,function(Ji,Bi){var pi=Ji.invoke(Bi,Xa),wi=Ji.shared.context,Mi=Bi.def(pi,\".x|0\"),Vi=Bi.def(pi,\".y|0\"),cn=Bi.def('\"width\" in ',pi,\"?\",pi,\".width|0:\",\"(\",wi,\".\",dt,\"-\",Mi,\")\"),xo=Bi.def('\"height\" in ',pi,\"?\",pi,\".height|0:\",\"(\",wi,\".\",Ct,\"-\",Vi,\")\");return[Mi,Vi,cn,xo]});return Et&&(si.thisDep=si.thisDep||Et.thisDep,si.contextDep=si.contextDep||Et.contextDep,si.propDep=si.propDep||Et.propDep),si}else return Et?new Pa(Et.thisDep,Et.contextDep,Et.propDep,function(Ji,Bi){var pi=Ji.shared.context;return[0,0,Bi.def(pi,\".\",dt),Bi.def(pi,\".\",Ct)]}):null}var pr=sr(Se);if(pr){var lr=pr;pr=new Pa(pr.thisDep,pr.contextDep,pr.propDep,function(Xt,or){var qt=lr.append(Xt,or),Dr=Xt.shared.context;return or.set(Dr,\".\"+wt,qt[2]),or.set(Dr,\".\"+Dt,qt[3]),qt})}return{viewport:pr,scissor_box:sr(we)}}function Ps(gt,Et){var Ft=gt.static,ir=typeof Ft[Bt]==\"string\"&&typeof Ft[At]==\"string\";if(ir){if(Object.keys(Et.dynamic).length>0)return null;var fr=Et.static,sr=Object.keys(fr);if(sr.length>0&&typeof fr[sr[0]]==\"number\"){for(var pr=[],lr=0;lr<sr.length;++lr)pr.push([fr[sr[lr]]|0,sr[lr]]);return pr}}return null}function xl(gt,Et,Ft){var ir=gt.static,fr=gt.dynamic;function sr(qt){if(qt in ir){var Dr=Yt.id(ir[qt]),Jr=an(function(){return Dr});return Jr.id=Dr,Jr}else if(qt in fr){var ba=fr[qt];return vn(ba,function(yi,Xa){var si=yi.invoke(Xa,ba),Ji=Xa.def(yi.shared.strings,\".id(\",si,\")\");return Ji})}return null}var pr=sr(Bt),lr=sr(At),Xt=null,or;return sn(pr)&&sn(lr)?(Xt=fi.program(lr.id,pr.id,null,Ft),or=an(function(qt,Dr){return qt.link(Xt)})):or=new Pa(pr&&pr.thisDep||lr&&lr.thisDep,pr&&pr.contextDep||lr&&lr.contextDep,pr&&pr.propDep||lr&&lr.propDep,function(qt,Dr){var Jr=qt.shared.shader,ba;pr?ba=pr.append(qt,Dr):ba=Dr.def(Jr,\".\",Bt);var yi;lr?yi=lr.append(qt,Dr):yi=Dr.def(Jr,\".\",At);var Xa=Jr+\".program(\"+yi+\",\"+ba;return Dr.def(Xa+\")\")}),{frag:pr,vert:lr,progVar:or,program:Xt}}function ho(gt,Et){var Ft=gt.static,ir=gt.dynamic,fr={},sr=!1;function pr(){if(He in Ft){var Bi=Ft[He];return Bi!==null&&bi.getVAO(Bi)===null&&(Bi=bi.createVAO(Bi)),sr=!0,fr.vao=Bi,an(function(wi){var Mi=bi.getVAO(Bi);return Mi?wi.link(Mi):\"null\"})}else if(He in ir){sr=!0;var pi=ir[He];return vn(pi,function(wi,Mi){var Vi=wi.invoke(Mi,pi);return Mi.def(wi.shared.vao+\".getVAO(\"+Vi+\")\")})}return null}var lr=pr(),Xt=!1;function or(){if($t in Ft){var Bi=Ft[$t];if(fr.elements=Bi,vi(Bi)){var pi=fr.elements=xa.create(Bi,!0);Bi=xa.getElements(pi),Xt=!0}else Bi&&(Bi=xa.getElements(Bi),Xt=!0);var wi=an(function(Vi,cn){if(Bi){var xo=Vi.link(Bi);return Vi.ELEMENTS=xo,xo}return Vi.ELEMENTS=null,null});return wi.value=Bi,wi}else if($t in ir){Xt=!0;var Mi=ir[$t];return vn(Mi,function(Vi,cn){var xo=Vi.shared,jo=xo.isBufferArgs,ks=xo.elements,Fo=Vi.invoke(cn,Mi),bs=cn.def(\"null\"),Hs=cn.def(jo,\"(\",Fo,\")\"),pu=Vi.cond(Hs).then(bs,\"=\",ks,\".createStream(\",Fo,\");\").else(bs,\"=\",ks,\".getElements(\",Fo,\");\");return cn.entry(pu),cn.exit(Vi.cond(Hs).then(ks,\".destroyStream(\",bs,\");\")),Vi.ELEMENTS=bs,bs})}else if(sr)return new Pa(lr.thisDep,lr.contextDep,lr.propDep,function(Vi,cn){return cn.def(Vi.shared.vao+\".currentVAO?\"+Vi.shared.elements+\".getElements(\"+Vi.shared.vao+\".currentVAO.elements):null\")});return null}var qt=or();function Dr(){if(br in Ft){var Bi=Ft[br];return fr.primitive=Bi,an(function(wi,Mi){return xt[Bi]})}else if(br in ir){var pi=ir[br];return vn(pi,function(wi,Mi){var Vi=wi.constants.primTypes,cn=wi.invoke(Mi,pi);return Mi.def(Vi,\"[\",cn,\"]\")})}else{if(Xt)return sn(qt)?qt.value?an(function(wi,Mi){return Mi.def(wi.ELEMENTS,\".primType\")}):an(function(){return Vl}):new Pa(qt.thisDep,qt.contextDep,qt.propDep,function(wi,Mi){var Vi=wi.ELEMENTS;return Mi.def(Vi,\"?\",Vi,\".primType:\",Vl)});if(sr)return new Pa(lr.thisDep,lr.contextDep,lr.propDep,function(wi,Mi){return Mi.def(wi.shared.vao+\".currentVAO?\"+wi.shared.vao+\".currentVAO.primitive:\"+Vl)})}return null}function Jr(Bi,pi){if(Bi in Ft){var wi=Ft[Bi]|0;return pi?fr.offset=wi:fr.instances=wi,an(function(Vi,cn){return pi&&(Vi.OFFSET=wi),wi})}else if(Bi in ir){var Mi=ir[Bi];return vn(Mi,function(Vi,cn){var xo=Vi.invoke(cn,Mi);return pi&&(Vi.OFFSET=xo),xo})}else if(pi){if(Xt)return an(function(Vi,cn){return Vi.OFFSET=0,0});if(sr)return new Pa(lr.thisDep,lr.contextDep,lr.propDep,function(Vi,cn){return cn.def(Vi.shared.vao+\".currentVAO?\"+Vi.shared.vao+\".currentVAO.offset:0\")})}else if(sr)return new Pa(lr.thisDep,lr.contextDep,lr.propDep,function(Vi,cn){return cn.def(Vi.shared.vao+\".currentVAO?\"+Vi.shared.vao+\".currentVAO.instances:-1\")});return null}var ba=Jr(Yr,!0);function yi(){if(Ar in Ft){var Bi=Ft[Ar]|0;return fr.count=Bi,an(function(){return Bi})}else if(Ar in ir){var pi=ir[Ar];return vn(pi,function(cn,xo){var jo=cn.invoke(xo,pi);return jo})}else if(Xt)if(sn(qt)){if(qt)return ba?new Pa(ba.thisDep,ba.contextDep,ba.propDep,function(cn,xo){var jo=xo.def(cn.ELEMENTS,\".vertCount-\",cn.OFFSET);return jo}):an(function(cn,xo){return xo.def(cn.ELEMENTS,\".vertCount\")});var wi=an(function(){return-1});return wi}else{var Mi=new Pa(qt.thisDep||ba.thisDep,qt.contextDep||ba.contextDep,qt.propDep||ba.propDep,function(cn,xo){var jo=cn.ELEMENTS;return cn.OFFSET?xo.def(jo,\"?\",jo,\".vertCount-\",cn.OFFSET,\":-1\"):xo.def(jo,\"?\",jo,\".vertCount:-1\")});return Mi}else if(sr){var Vi=new Pa(lr.thisDep,lr.contextDep,lr.propDep,function(cn,xo){return xo.def(cn.shared.vao,\".currentVAO?\",cn.shared.vao,\".currentVAO.count:-1\")});return Vi}return null}var Xa=Dr(),si=yi(),Ji=Jr(sa,!1);return{elements:qt,primitive:Xa,count:si,instances:Ji,offset:ba,vao:lr,vaoActive:sr,elementsActive:Xt,static:fr}}function Hl(gt,Et){var Ft=gt.static,ir=gt.dynamic,fr={};return Za.forEach(function(sr){var pr=zi(sr);function lr(Xt,or){if(sr in Ft){var qt=Xt(Ft[sr]);fr[pr]=an(function(){return qt})}else if(sr in ir){var Dr=ir[sr];fr[pr]=vn(Dr,function(Jr,ba){return or(Jr,ba,Jr.invoke(ba,Dr))})}}switch(sr){case Iu:case ys:case Ks:case Ic:case Un:case ae:case Pc:case gc:case fo:case Ls:return lr(function(Xt){return Xt},function(Xt,or,qt){return qt});case Io:return lr(function(Xt){return Ma[Xt]},function(Xt,or,qt){var Dr=Xt.constants.compareFuncs;return or.def(Dr,\"[\",qt,\"]\")});case Xs:return lr(function(Xt){return Xt},function(Xt,or,qt){var Dr=or.def(\"+\",qt,\"[0]\"),Jr=or.def(\"+\",qt,\"[1]\");return[Dr,Jr]});case sl:return lr(function(Xt){var or=\"srcRGB\"in Xt?Xt.srcRGB:Xt.src,qt=\"srcAlpha\"in Xt?Xt.srcAlpha:Xt.src,Dr=\"dstRGB\"in Xt?Xt.dstRGB:Xt.dst,Jr=\"dstAlpha\"in Xt?Xt.dstAlpha:Xt.dst;return[ni[or],ni[Dr],ni[qt],ni[Jr]]},function(Xt,or,qt){var Dr=Xt.constants.blendFuncs;function Jr(pi,wi){var Mi=or.def('\"',pi,wi,'\" in ',qt,\"?\",qt,\".\",pi,wi,\":\",qt,\".\",pi);return Mi}var ba=Jr(\"src\",\"RGB\"),yi=Jr(\"dst\",\"RGB\"),Xa=or.def(Dr,\"[\",ba,\"]\"),si=or.def(Dr,\"[\",Jr(\"src\",\"Alpha\"),\"]\"),Ji=or.def(Dr,\"[\",yi,\"]\"),Bi=or.def(Dr,\"[\",Jr(\"dst\",\"Alpha\"),\"]\");return[Xa,Ji,si,Bi]});case yl:return lr(function(Xt){if(typeof Xt==\"string\")return[ii[Xt],ii[Xt]];if(typeof Xt==\"object\")return[ii[Xt.rgb],ii[Xt.alpha]]},function(Xt,or,qt){var Dr=Xt.constants.blendEquations,Jr=or.def(),ba=or.def(),yi=Xt.cond(\"typeof \",qt,'===\"string\"');return yi.then(Jr,\"=\",ba,\"=\",Dr,\"[\",qt,\"];\"),yi.else(Jr,\"=\",Dr,\"[\",qt,\".rgb];\",ba,\"=\",Dr,\"[\",qt,\".alpha];\"),or(yi),[Jr,ba]});case Fl:return lr(function(Xt){return p(4,function(or){return+Xt[or]})},function(Xt,or,qt){return p(4,function(Dr){return or.def(\"+\",qt,\"[\",Dr,\"]\")})});case lc:return lr(function(Xt){return Xt|0},function(Xt,or,qt){return or.def(qt,\"|0\")});case Yu:return lr(function(Xt){var or=Xt.cmp||\"keep\",qt=Xt.ref||0,Dr=\"mask\"in Xt?Xt.mask:-1;return[Ma[or],qt,Dr]},function(Xt,or,qt){var Dr=Xt.constants.compareFuncs,Jr=or.def('\"cmp\" in ',qt,\"?\",Dr,\"[\",qt,\".cmp]\",\":\",zt),ba=or.def(qt,\".ref|0\"),yi=or.def('\"mask\" in ',qt,\"?\",qt,\".mask|0:-1\");return[Jr,ba,yi]});case Ne:case R:return lr(function(Xt){var or=Xt.fail||\"keep\",qt=Xt.zfail||\"keep\",Dr=Xt.zpass||\"keep\";return[sr===R?De:de,Na[or],Na[qt],Na[Dr]]},function(Xt,or,qt){var Dr=Xt.constants.stencilOps;function Jr(ba){return or.def('\"',ba,'\" in ',qt,\"?\",Dr,\"[\",qt,\".\",ba,\"]:\",zt)}return[sr===R?De:de,Jr(\"fail\"),Jr(\"zfail\"),Jr(\"zpass\")]});case wu:return lr(function(Xt){var or=Xt.factor|0,qt=Xt.units|0;return[or,qt]},function(Xt,or,qt){var Dr=or.def(qt,\".factor|0\"),Jr=or.def(qt,\".units|0\");return[Dr,Jr]});case Zu:return lr(function(Xt){var or=0;return Xt===\"front\"?or=de:Xt===\"back\"&&(or=De),or},function(Xt,or,qt){return or.def(qt,'===\"front\"?',de,\":\",De)});case yu:return lr(function(Xt){return Xt},function(Xt,or,qt){return qt});case Lc:return lr(function(Xt){return Ka[Xt]},function(Xt,or,qt){return or.def(qt+'===\"cw\"?'+et+\":\"+vt)});case ou:return lr(function(Xt){return Xt.map(function(or){return!!or})},function(Xt,or,qt){return p(4,function(Dr){return\"!!\"+qt+\"[\"+Dr+\"]\"})});case zo:return lr(function(Xt){var or=\"value\"in Xt?Xt.value:1,qt=!!Xt.invert;return[or,qt]},function(Xt,or,qt){var Dr=or.def('\"value\" in ',qt,\"?+\",qt,\".value:1\"),Jr=or.def(\"!!\",qt,\".invert\");return[Dr,Jr]})}}),fr}function fs(gt,Et){var Ft=gt.static,ir=gt.dynamic,fr={};return Object.keys(Ft).forEach(function(sr){var pr=Ft[sr],lr;if(typeof pr==\"number\"||typeof pr==\"boolean\")lr=an(function(){return pr});else if(typeof pr==\"function\"){var Xt=pr._reglType;Xt===\"texture2d\"||Xt===\"textureCube\"?lr=an(function(or){return or.link(pr)}):(Xt===\"framebuffer\"||Xt===\"framebufferCube\")&&(lr=an(function(or){return or.link(pr.color[0])}))}else Ya(pr)&&(lr=an(function(or){var qt=or.global.def(\"[\",p(pr.length,function(Dr){return pr[Dr]}),\"]\");return qt}));lr.value=pr,fr[sr]=lr}),Object.keys(ir).forEach(function(sr){var pr=ir[sr];fr[sr]=vn(pr,function(lr,Xt){return lr.invoke(Xt,pr)})}),fr}function Al(gt,Et){var Ft=gt.static,ir=gt.dynamic,fr={};return Object.keys(Ft).forEach(function(sr){var pr=Ft[sr],lr=Yt.id(sr),Xt=new Ea;if(vi(pr))Xt.state=Jn,Xt.buffer=Aa.getBuffer(Aa.create(pr,Qr,!1,!0)),Xt.type=0;else{var or=Aa.getBuffer(pr);if(or)Xt.state=Jn,Xt.buffer=or,Xt.type=0;else if(\"constant\"in pr){var qt=pr.constant;Xt.buffer=\"null\",Xt.state=co,typeof qt==\"number\"?Xt.x=qt:Kn.forEach(function(Ji,Bi){Bi<qt.length&&(Xt[Ji]=qt[Bi])})}else{vi(pr.buffer)?or=Aa.getBuffer(Aa.create(pr.buffer,Qr,!1,!0)):or=Aa.getBuffer(pr.buffer);var Dr=pr.offset|0,Jr=pr.stride|0,ba=pr.size|0,yi=!!pr.normalized,Xa=0;\"type\"in pr&&(Xa=la[pr.type]);var si=pr.divisor|0;Xt.buffer=or,Xt.state=Jn,Xt.size=ba,Xt.normalized=yi,Xt.type=Xa||or.dtype,Xt.offset=Dr,Xt.stride=Jr,Xt.divisor=si}}fr[sr]=an(function(Ji,Bi){var pi=Ji.attribCache;if(lr in pi)return pi[lr];var wi={isStream:!1};return Object.keys(Xt).forEach(function(Mi){wi[Mi]=Xt[Mi]}),Xt.buffer&&(wi.buffer=Ji.link(Xt.buffer),wi.type=wi.type||wi.buffer+\".dtype\"),pi[lr]=wi,wi})}),Object.keys(ir).forEach(function(sr){var pr=ir[sr];function lr(Xt,or){var qt=Xt.invoke(or,pr),Dr=Xt.shared,Jr=Xt.constants,ba=Dr.isBufferArgs,yi=Dr.buffer,Xa={isStream:or.def(!1)},si=new Ea;si.state=Jn,Object.keys(si).forEach(function(wi){Xa[wi]=or.def(\"\"+si[wi])});var Ji=Xa.buffer,Bi=Xa.type;or(\"if(\",ba,\"(\",qt,\")){\",Xa.isStream,\"=true;\",Ji,\"=\",yi,\".createStream(\",Qr,\",\",qt,\");\",Bi,\"=\",Ji,\".dtype;\",\"}else{\",Ji,\"=\",yi,\".getBuffer(\",qt,\");\",\"if(\",Ji,\"){\",Bi,\"=\",Ji,\".dtype;\",'}else if(\"constant\" in ',qt,\"){\",Xa.state,\"=\",co,\";\",\"if(typeof \"+qt+'.constant === 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sr==\"boolean\"?\"\"+sr:pr.link(sr)})}),Object.keys(Ft).forEach(function(fr){var sr=Ft[fr];ir[fr]=vn(sr,function(pr,lr){return pr.invoke(lr,sr)})}),ir}function Ql(gt,Et,Ft,ir,fr){var sr=gt.static,pr=gt.dynamic,lr=Ps(gt,Et),Xt=Rn(gt,fr),or=Gn(gt,Xt,fr),qt=ho(gt,fr),Dr=Hl(gt,fr),Jr=xl(gt,fr,lr);function ba(pi){var wi=or[pi];wi&&(Dr[pi]=wi)}ba(Se),ba(zi(we));var yi=Object.keys(Dr).length>0,Xa={framebuffer:Xt,draw:qt,shader:Jr,state:Dr,dirty:yi,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(Xa.profile=En(gt,fr),Xa.uniforms=fs(Ft,fr),Xa.drawVAO=Xa.scopeVAO=qt.vao,!Xa.drawVAO&&Jr.program&&!lr&&cr.angle_instanced_arrays&&qt.static.elements){var si=!0,Ji=Jr.program.attributes.map(function(pi){var wi=Et.static[pi];return si=si&&!!wi,wi});if(si&&Ji.length>0){var Bi=bi.getVAO(bi.createVAO({attributes:Ji,elements:qt.static.elements}));Xa.drawVAO=new Pa(null,null,null,function(pi,wi){return pi.link(Bi)}),Xa.useVAO=!0}}return 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Dr=sr.gl,Jr=Et.def(Xt,\".location\"),ba=Et.def(sr.attributes,\"[\",Jr,\"]\"),yi=qt.state,Xa=qt.buffer,si=[qt.x,qt.y,qt.z,qt.w],Ji=[\"buffer\",\"normalized\",\"offset\",\"stride\"];function Bi(){Et(\"if(!\",ba,\".buffer){\",Dr,\".enableVertexAttribArray(\",Jr,\");}\");var wi=qt.type,Mi;if(qt.size?Mi=Et.def(qt.size,\"||\",or):Mi=or,Et(\"if(\",ba,\".type!==\",wi,\"||\",ba,\".size!==\",Mi,\"||\",Ji.map(function(cn){return ba+\".\"+cn+\"!==\"+qt[cn]}).join(\"||\"),\"){\",Dr,\".bindBuffer(\",Qr,\",\",Xa,\".buffer);\",Dr,\".vertexAttribPointer(\",[Jr,Mi,wi,qt.normalized,qt.stride,qt.offset],\");\",ba,\".type=\",wi,\";\",ba,\".size=\",Mi,\";\",Ji.map(function(cn){return ba+\".\"+cn+\"=\"+qt[cn]+\";\"}).join(\"\"),\"}\"),gi){var Vi=qt.divisor;Et(\"if(\",ba,\".divisor!==\",Vi,\"){\",gt.instancing,\".vertexAttribDivisorANGLE(\",[Jr,Vi],\");\",ba,\".divisor=\",Vi,\";}\")}}function pi(){Et(\"if(\",ba,\".buffer){\",Dr,\".disableVertexAttribArray(\",Jr,\");\",ba,\".buffer=null;\",\"}if(\",Kn.map(function(wi,Mi){return ba+\".\"+wi+\"!==\"+si[Mi]}).join(\"||\"),\"){\",Dr,\".vertexAttrib4f(\",Jr,\",\",si,\");\",Kn.map(function(wi,Mi){return ba+\".\"+wi+\"=\"+si[Mi]+\";\"}).join(\"\"),\"}\")}yi===Jn?Bi():yi===co?pi():(Et(\"if(\",yi,\"===\",Jn,\"){\"),Bi(),Et(\"}else{\"),pi(),Et(\"}\"))}ir.forEach(function(Xt){var or=Xt.name,qt=Ft.attributes[or],Dr;if(qt){if(!fr(qt))return;Dr=qt.append(gt,Et)}else{if(!fr(Pn))return;var Jr=gt.scopeAttrib(or);Dr={},Object.keys(new Ea).forEach(function(ba){Dr[ba]=Et.def(Jr,\".\",ba)})}lr(gt.link(Xt),pr(Xt.info.type),Dr)})}function Y(gt,Et,Ft,ir,fr,sr){for(var pr=gt.shared,lr=pr.gl,Xt,or=0;or<ir.length;++or){var qt=ir[or],Dr=qt.name,Jr=qt.info.type,ba=Ft.uniforms[Dr],yi=gt.link(qt),Xa=yi+\".location\",si;if(ba){if(!fr(ba))continue;if(sn(ba)){var Ji=ba.value;if(Jr===uc||Jr===ql){var Bi=gt.link(Ji._texture||Ji.color[0]._texture);Et(lr,\".uniform1i(\",Xa,\",\",Bi+\".bind());\"),Et.exit(Bi,\".unbind();\")}else if(Jr===hu||Jr===wl||Jr===su){var pi=gt.global.def(\"new Float32Array([\"+Array.prototype.slice.call(Ji)+\"])\"),wi=2;Jr===wl?wi=3:Jr===su&&(wi=4),Et(lr,\".uniformMatrix\",wi,\"fv(\",Xa,\",false,\",pi,\");\")}else{switch(Jr){case Ao:Xt=\"1f\";break;case ss:Xt=\"2f\";break;case So:Xt=\"3f\";break;case Ko:Xt=\"4f\";break;case ts:Xt=\"1i\";break;case hs:Xt=\"1i\";break;case Pl:Xt=\"2i\";break;case ll:Xt=\"2i\";break;case $l:Xt=\"3i\";break;case Js:Xt=\"3i\";break;case Ru:Xt=\"4i\";break;case es:Xt=\"4i\";break}Et(lr,\".uniform\",Xt,\"(\",Xa,\",\",Ya(Ji)?Array.prototype.slice.call(Ji):Ji,\");\")}continue}else si=ba.append(gt,Et)}else{if(!fr(Pn))continue;si=Et.def(pr.uniforms,\"[\",Yt.id(Dr),\"]\")}Jr===uc?Et(\"if(\",si,\"&&\",si,'._reglType===\"framebuffer\"){',si,\"=\",si,\".color[0];\",\"}\"):Jr===ql&&Et(\"if(\",si,\"&&\",si,'._reglType===\"framebufferCube\"){',si,\"=\",si,\".color[0];\",\"}\");var Mi=1;switch(Jr){case uc:case ql:var Vi=Et.def(si,\"._texture\");Et(lr,\".uniform1i(\",Xa,\",\",Vi,\".bind());\"),Et.exit(Vi,\".unbind();\");continue;case hs:case ts:Xt=\"1i\";break;case ll:case Pl:Xt=\"2i\",Mi=2;break;case Js:case $l:Xt=\"3i\",Mi=3;break;case es:case Ru:Xt=\"4i\",Mi=4;break;case Ao:Xt=\"1f\";break;case ss:Xt=\"2f\",Mi=2;break;case So:Xt=\"3f\",Mi=3;break;case Ko:Xt=\"4f\",Mi=4;break;case hu:Xt=\"Matrix2fv\";break;case wl:Xt=\"Matrix3fv\";break;case su:Xt=\"Matrix4fv\";break}if(Xt.charAt(0)===\"M\"){Et(lr,\".uniform\",Xt,\"(\",Xa,\",\");var cn=Math.pow(Jr-hu+2,2),xo=gt.global.def(\"new Float32Array(\",cn,\")\");Array.isArray(si)?Et(\"false,(\",p(cn,function(Hs){return xo+\"[\"+Hs+\"]=\"+si[Hs]}),\",\",xo,\")\"):Et(\"false,(Array.isArray(\",si,\")||\",si,\" instanceof Float32Array)?\",si,\":(\",p(cn,function(Hs){return xo+\"[\"+Hs+\"]=\"+si+\"[\"+Hs+\"]\"}),\",\",xo,\")\"),Et(\");\")}else if(Mi>1){for(var jo=[],ks=[],Fo=0;Fo<Mi;++Fo)Array.isArray(si)?ks.push(si[Fo]):ks.push(Et.def(si+\"[\"+Fo+\"]\")),sr&&jo.push(Et.def());sr&&Et(\"if(!\",gt.batchId,\"||\",jo.map(function(Hs,pu){return Hs+\"!==\"+ks[pu]}).join(\"||\"),\"){\",jo.map(function(Hs,pu){return Hs+\"=\"+ks[pu]+\";\"}).join(\"\")),Et(lr,\".uniform\",Xt,\"(\",Xa,\",\",ks.join(\",\"),\");\"),sr&&Et(\"}\")}else{if(sr){var bs=Et.def();Et(\"if(!\",gt.batchId,\"||\",bs,\"!==\",si,\"){\",bs,\"=\",si,\";\")}Et(lr,\".uniform\",Xt,\"(\",Xa,\",\",si,\");\"),sr&&Et(\"}\")}}}function ye(gt,Et,Ft,ir){var fr=gt.shared,sr=fr.gl,pr=fr.draw,lr=ir.draw;function Xt(){var Mi=lr.elements,Vi,cn=Et;return Mi?((Mi.contextDep&&ir.contextDynamic||Mi.propDep)&&(cn=Ft),Vi=Mi.append(gt,cn),lr.elementsActive&&cn(\"if(\"+Vi+\")\"+sr+\".bindBuffer(\"+ga+\",\"+Vi+\".buffer.buffer);\")):(Vi=cn.def(),cn(Vi,\"=\",pr,\".\",$t,\";\",\"if(\",Vi,\"){\",sr,\".bindBuffer(\",ga,\",\",Vi,\".buffer.buffer);}\",\"else if(\",fr.vao,\".currentVAO){\",Vi,\"=\",gt.shared.elements+\".getElements(\"+fr.vao,\".currentVAO.elements);\",ji?\"\":\"if(\"+Vi+\")\"+sr+\".bindBuffer(\"+ga+\",\"+Vi+\".buffer.buffer);\",\"}\")),Vi}function or(){var Mi=lr.count,Vi,cn=Et;return Mi?((Mi.contextDep&&ir.contextDynamic||Mi.propDep)&&(cn=Ft),Vi=Mi.append(gt,cn)):Vi=cn.def(pr,\".\",Ar),Vi}var qt=Xt();function Dr(Mi){var Vi=lr[Mi];return Vi?Vi.contextDep&&ir.contextDynamic||Vi.propDep?Vi.append(gt,Ft):Vi.append(gt,Et):Et.def(pr,\".\",Mi)}var Jr=Dr(br),ba=Dr(Yr),yi=or();if(typeof yi==\"number\"){if(yi===0)return}else Ft(\"if(\",yi,\"){\"),Ft.exit(\"}\");var Xa,si;gi&&(Xa=Dr(sa),si=gt.instancing);var Ji=qt+\".type\",Bi=lr.elements&&sn(lr.elements)&&!lr.vaoActive;function pi(){function Mi(){Ft(si,\".drawElementsInstancedANGLE(\",[Jr,yi,Ji,ba+\"<<((\"+Ji+\"-\"+ao+\")>>1)\",Xa],\");\")}function Vi(){Ft(si,\".drawArraysInstancedANGLE(\",[Jr,ba,yi,Xa],\");\")}qt&&qt!==\"null\"?Bi?Mi():(Ft(\"if(\",qt,\"){\"),Mi(),Ft(\"}else{\"),Vi(),Ft(\"}\")):Vi()}function wi(){function Mi(){Ft(sr+\".drawElements(\"+[Jr,yi,Ji,ba+\"<<((\"+Ji+\"-\"+ao+\")>>1)\"]+\");\")}function Vi(){Ft(sr+\".drawArrays(\"+[Jr,ba,yi]+\");\")}qt&&qt!==\"null\"?Bi?Mi():(Ft(\"if(\",qt,\"){\"),Mi(),Ft(\"}else{\"),Vi(),Ft(\"}\")):Vi()}gi&&(typeof Xa!=\"number\"||Xa>=0)?typeof Xa==\"string\"?(Ft(\"if(\",Xa,\">0){\"),pi(),Ft(\"}else if(\",Xa,\"<0){\"),wi(),Ft(\"}\")):pi():wi()}function te(gt,Et,Ft,ir,fr){var sr=nn(),pr=sr.proc(\"body\",fr);return gi&&(sr.instancing=pr.def(sr.shared.extensions,\".angle_instanced_arrays\")),gt(sr,pr,Ft,ir),sr.compile().body}function me(gt,Et,Ft,ir){Cl(gt,Et),Ft.useVAO?Ft.drawVAO?Et(gt.shared.vao,\".setVAO(\",Ft.drawVAO.append(gt,Et),\");\"):Et(gt.shared.vao,\".setVAO(\",gt.shared.vao,\".targetVAO);\"):(Et(gt.shared.vao,\".setVAO(null);\"),ve(gt,Et,Ft,ir.attributes,function(){return!0})),Y(gt,Et,Ft,ir.uniforms,function(){return!0},!1),ye(gt,Et,Et,Ft)}function Ge(gt,Et){var Ft=gt.proc(\"draw\",1);Cl(gt,Ft),Fs(gt,Ft,Et.context),pl(gt,Ft,Et.framebuffer),bl(gt,Ft,Et),Hn(gt,Ft,Et.state),Lo(gt,Ft,Et,!1,!0);var ir=Et.shader.progVar.append(gt,Ft);if(Ft(gt.shared.gl,\".useProgram(\",ir,\".program);\"),Et.shader.program)me(gt,Ft,Et,Et.shader.program);else{Ft(gt.shared.vao,\".setVAO(null);\");var fr=gt.global.def(\"{}\"),sr=Ft.def(ir,\".id\"),pr=Ft.def(fr,\"[\",sr,\"]\");Ft(gt.cond(pr).then(pr,\".call(this,a0);\").else(pr,\"=\",fr,\"[\",sr,\"]=\",gt.link(function(lr){return 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Jr(Ji){return!Dr(Ji)}if(Ft.needsContext&&Fs(gt,qt,Ft.context),Ft.needsFramebuffer&&pl(gt,qt,Ft.framebuffer),Hn(gt,qt,Ft.state,Dr),Ft.profile&&Dr(Ft.profile)&&Lo(gt,qt,Ft,!1,!0),ir)Ft.useVAO?Ft.drawVAO?Dr(Ft.drawVAO)?qt(gt.shared.vao,\".setVAO(\",Ft.drawVAO.append(gt,qt),\");\"):or(gt.shared.vao,\".setVAO(\",Ft.drawVAO.append(gt,or),\");\"):or(gt.shared.vao,\".setVAO(\",gt.shared.vao,\".targetVAO);\"):(or(gt.shared.vao,\".setVAO(null);\"),ve(gt,or,Ft,ir.attributes,Jr),ve(gt,qt,Ft,ir.attributes,Dr)),Y(gt,or,Ft,ir.uniforms,Jr,!1),Y(gt,qt,Ft,ir.uniforms,Dr,!0),ye(gt,or,qt,Ft);else{var ba=gt.global.def(\"{}\"),yi=Ft.shader.progVar.append(gt,qt),Xa=qt.def(yi,\".id\"),si=qt.def(ba,\"[\",Xa,\"]\");qt(gt.shared.gl,\".useProgram(\",yi,\".program);\",\"if(!\",si,\"){\",si,\"=\",ba,\"[\",Xa,\"]=\",gt.link(function(Ji){return te(Le,gt,Ft,Ji,2)}),\"(\",yi,\");}\",si,\".call(this,a0[\",sr,\"],\",sr,\");\")}}function mt(gt,Et){var Ft=gt.proc(\"batch\",2);gt.batchId=\"0\",Cl(gt,Ft);var ir=!1,fr=!0;Object.keys(Et.context).forEach(function(ba){ir=ir||Et.context[ba].propDep}),ir||(Fs(gt,Ft,Et.context),fr=!1);var sr=Et.framebuffer,pr=!1;sr?(sr.propDep?ir=pr=!0:sr.contextDep&&ir&&(pr=!0),pr||pl(gt,Ft,sr)):pl(gt,Ft,null),Et.state.viewport&&Et.state.viewport.propDep&&(ir=!0);function lr(ba){return ba.contextDep&&ir||ba.propDep}bl(gt,Ft,Et),Hn(gt,Ft,Et.state,function(ba){return!lr(ba)}),(!Et.profile||!lr(Et.profile))&&Lo(gt,Ft,Et,!1,\"a1\"),Et.contextDep=ir,Et.needsContext=fr,Et.needsFramebuffer=pr;var Xt=Et.shader.progVar;if(Xt.contextDep&&ir||Xt.propDep)$e(gt,Ft,Et,null);else{var or=Xt.append(gt,Ft);if(Ft(gt.shared.gl,\".useProgram(\",or,\".program);\"),Et.shader.program)$e(gt,Ft,Et,Et.shader.program);else{Ft(gt.shared.vao,\".setVAO(null);\");var qt=gt.global.def(\"{}\"),Dr=Ft.def(or,\".id\"),Jr=Ft.def(qt,\"[\",Dr,\"]\");Ft(gt.cond(Jr).then(Jr,\".call(this,a0,a1);\").else(Jr,\"=\",qt,\"[\",Dr,\"]=\",gt.link(function(ba){return 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fr=gt.global,sr=Object.keys(ir),pr=!1,lr=!1,Xt=!1,or=gt.global.def(\"{}\");sr.forEach(function(Dr){var Jr=ir[Dr];if(c.isDynamic(Jr)){typeof Jr==\"function\"&&(Jr=ir[Dr]=c.unbox(Jr));var ba=vn(Jr,null);pr=pr||ba.thisDep,Xt=Xt||ba.propDep,lr=lr||ba.contextDep}else{switch(fr(or,\".\",Dr,\"=\"),typeof Jr){case\"number\":fr(Jr);break;case\"string\":fr('\"',Jr,'\"');break;case\"object\":Array.isArray(Jr)&&fr(\"[\",Jr.join(),\"]\");break;default:fr(gt.link(Jr));break}fr(\";\")}});function qt(Dr,Jr){sr.forEach(function(ba){var yi=ir[ba];if(c.isDynamic(yi)){var Xa=Dr.invoke(Jr,yi);Jr(or,\".\",ba,\"=\",Xa,\";\")}})}Et.dynamic[Ft]=new c.DynamicVariable(xs,{thisDep:pr,contextDep:lr,propDep:Xt,ref:or,append:qt}),delete Et.static[Ft]}function hr(gt,Et,Ft,ir,fr){var sr=nn();sr.stats=sr.link(fr),Object.keys(Et.static).forEach(function(lr){Fr(sr,Et,lr)}),Br.forEach(function(lr){Fr(sr,gt,lr)});var pr=Ql(gt,Et,Ft,ir,sr);return pr.shader.program&&(pr.shader.program.attributes.sort(function(lr,Xt){return 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he=U.selectAll(\".highlight-shadow\").data(M);he.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-d.bar.width/2).attr(\"stroke-width\",d.bar.width+d.bar.strokeWidth).attr(\"stroke\",W).attr(\"opacity\",d.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),he.attr(\"y1\",function($){return $.height}).call(_);var G=U.selectAll(\".highlight\").data(M);G.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-d.bar.width/2).attr(\"stroke-width\",d.bar.width-d.bar.strokeWidth).attr(\"stroke\",d.bar.fillColor).attr(\"opacity\",d.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),G.attr(\"y1\",function($){return $.height}).call(_)}function P(U,W,Q){var ue=U.selectAll(\".\"+d.cn.axisBrush).data(M,A);ue.enter().append(\"g\").classed(d.cn.axisBrush,!0),h(ue,W,Q)}function L(U){return U.svgBrush.extent.map(function(W){return W.slice()})}function z(U){U.filterSpecified=!1,U.svgBrush.extent=[[-1/0,1/0]]}function F(U){return function(Q){var 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S=T(\"constraintrange\");S&&(f.constraintrange=o.cleanRanges(S,f))}}q.exports=function(f,g,v,T){function l(y,b){return d.coerce(f,g,r,y,b)}var _=f.dimensions;Array.isArray(_)&&_.length>a&&(d.log(\"parcoords traces support up to \"+a+\" dimensions at the moment\"),_.splice(a));var w=e(f,g,{name:\"dimensions\",layout:T,handleItemDefaults:s}),S=n(f,g,v,T,l);M(g,T,l),(!Array.isArray(w)||!w.length)&&(g.visible=!1),i(g,w,\"values\",S);var E=d.extendFlat({},T.font,{size:Math.round(T.font.size/1.2)});d.coerceFont(l,\"labelfont\",E),d.coerceFont(l,\"tickfont\",E,{autoShadowDflt:!0}),d.coerceFont(l,\"rangefont\",E),l(\"labelangle\"),l(\"labelside\"),l(\"unselected.line.color\"),l(\"unselected.line.opacity\")}}}),Xq=Ze({\"src/traces/parcoords/calc.js\"(Z,q){\"use strict\";var d=ca().isArrayOrTypedArray,x=rc(),A=Cv().wrap;q.exports=function(t,r){var o,a;return 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M===A?t=0:q===M?t=(d-x)/e:d===M?t=2+(x-q)/e:x===M&&(t=4+(q-d)/e),t=Math.min(t*60,360),t<0&&(t+=360),o=(A+M)/2,M===A?r=0:o<=.5?r=e/(M+A):r=e/(2-M-A),[t,r*100,o*100]}}}),_6={};Ws(_6,{default:()=>Jq});function Jq(Z){Array.isArray(Z)&&Z.raw&&(Z=String.raw(...arguments)),Z instanceof Number&&(Z=+Z);var q,d,x,A=g6(Z);if(!A.space)return[];let M=A.space[0]===\"h\"?Sx.min:Ax.min,e=A.space[0]===\"h\"?Sx.max:Ax.max;return q=Array(3),q[0]=Math.min(Math.max(A.values[0],M[0]),e[0]),q[1]=Math.min(Math.max(A.values[1],M[1]),e[1]),q[2]=Math.min(Math.max(A.values[2],M[2]),e[2]),A.space[0]===\"h\"&&(q=Sx.rgb(q)),q.push(Math.min(Math.max(A.alpha,0),1)),q}var $q=wo({\"node_modules/color-rgba/index.js\"(){Yq(),y6(),Kq()}}),x6=Ze({\"src/traces/parcoords/helpers.js\"(Z){\"use strict\";var q=ca().isTypedArray;Z.convertTypedArray=function(d){return q(d)?Array.prototype.slice.call(d):d},Z.isOrdinal=function(d){return!!d.tickvals},Z.isVisible=function(d){return d.visible||!(\"visible\"in d)}}}),Qq=Ze({\"src/traces/parcoords/lines.js\"(Z,q){\"use strict\";var d=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(`\n`),x=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(`\n`),A=Tx().maxDimensionCount,M=ca(),e=1e-6,t=2048,r=new Uint8Array(4),o=new Uint8Array(4),a={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function i(b){b.read({x:0,y:0,width:1,height:1,data:r})}function n(b,p,u,m,h){var P=b._gl;P.enable(P.SCISSOR_TEST),P.scissor(p,u,m,h),b.clear({color:[0,0,0,0],depth:1})}function s(b,p,u,m,h,P){var L=P.key;function z(F){var B=Math.min(m,h-F*m);F===0&&(window.cancelAnimationFrame(u.currentRafs[L]),delete u.currentRafs[L],n(b,P.scissorX,P.scissorY,P.scissorWidth,P.viewBoxSize[1])),!u.clearOnly&&(P.count=2*B,P.offset=2*F*m,p(P),F*m+B<h&&(u.currentRafs[L]=window.requestAnimationFrame(function(){z(F+1)})),u.drawCompleted=!1)}u.drawCompleted||(i(b),u.drawCompleted=!0),z(0)}function c(b){return Math.max(e,Math.min(1-e,b))}function f(b,p){for(var u=new Array(256),m=0;m<256;m++)u[m]=b(m/255).concat(p);return u}function g(b,p){return(b>>>8*p)%256/255}function v(b,p,u){for(var m=new Array(b*(A+4)),h=0,P=0;P<b;P++){for(var L=0;L<A;L++)m[h++]=L<p.length?p[L].paddedUnitValues[P]:.5;m[h++]=g(P,2),m[h++]=g(P,1),m[h++]=g(P,0),m[h++]=c(u[P])}return m}function T(b,p,u){for(var m=new Array(p*8),h=0,P=0;P<p;P++)for(var L=0;L<2;L++)for(var z=0;z<4;z++){var F=b*4+z,B=u[P*64+F];F===63&&L===0&&(B*=-1),m[h++]=B}return m}function l(b){var p=\"0\"+b;return p.substr(p.length-2)}function _(b){return b<A?\"p\"+l(b+1)+\"_\"+l(b+4):\"colors\"}function w(b,p,u){for(var m=0;m<=A;m+=4)b[_(m)](T(m/4,p,u))}function S(b){for(var p={},u=0;u<=A;u+=4)p[_(u)]=b.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return p}function E(b,p,u,m,h,P,L,z,F,B,O,I,N,U){for(var W=[[],[]],Q=0;Q<64;Q++)W[0][Q]=Q===h?1:0,W[1][Q]=Q===P?1:0;L*=U,z*=U,F*=U,B*=U;var 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tt=be.model.categoryLabel,lt=ce.parcatsViewModel.model.count,Ee=0;ce.categoryViewModel.bands.forEach(function(Zt){Zt.color===ce.color&&(Ee+=Zt.count)});var _e=be.model.count,fe=0;Ae.pathSelection.each(function(Zt){Zt.model.color===ce.color&&(fe+=Zt.model.count)});var Fe=Ee/lt,rt=Ee/fe,st=Ee/_e,Qe={countLabel:Ee,categoryLabel:tt,probabilityLabel:Fe.toFixed(3)},Lt=[];be.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&Lt.push([\"Count:\",Qe.countLabel].join(\" \")),be.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&(Lt.push(\"P(color \\u2229 \"+tt+\"): \"+Qe.probabilityLabel),Lt.push(\"P(\"+tt+\" | color): \"+rt.toFixed(3)),Lt.push(\"P(color | \"+tt+\"): \"+st.toFixed(3)));var kt=Lt.join(\"<br>\"),Vt=o.mostReadable(ce.color,[\"black\",\"white\"]);return{trace:Re,x:j*(it-oe.left),y:ee*(Xe-oe.top),text:kt,color:ce.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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Xe=d.transition().duration(300).ease(\"cubic-in-out\");Xe.each(function(){ue(X.parcatsViewModel,!0),Q(X.parcatsViewModel,!0)}).each(\"end\",function(){(ee||re)&&A.restyle(X.parcatsViewModel.graphDiv,oe,[ie])})}}function W(X){for(var oe,ie=X.graphDiv._fullData,j=0;j<ie.length;j++)if(X.key===ie[j].uid){oe=j;break}return oe}function Q(X,oe){oe===void 0&&(oe=!1);function ie(j){return oe?j.transition():j}X.pathSelection.data(function(j){return j.paths},n),ie(X.pathSelection).attr(\"d\",function(j){return j.svgD})}function ue(X,oe){oe===void 0&&(oe=!1);function ie(Ae){return oe?Ae.transition():Ae}X.dimensionSelection.data(function(Ae){return Ae.dimensions},n);var j=X.dimensionSelection.selectAll(\"g.category\").data(function(Ae){return Ae.categories},n);ie(X.dimensionSelection).attr(\"transform\",function(Ae){return t(Ae.x,0)}),ie(j).attr(\"transform\",function(Ae){return t(0,Ae.y)});var ee=j.select(\".dimlabel\");ee.text(function(Ae,ze){return 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V.error('Unknown expression \"'+xe+'\". 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Ve}function Bf(C,k,V,ne){for(var xe=Math.pow(2,ne.z)*Ul,Ie=[ne.x*Ul,ne.y*Ul],Ve=[],ht=0,Rt=C;ht<Rt.length;ht+=1){for(var Ht=Rt[ht],tr=[],Cr=0,Xr=Ht;Cr<Xr.length;Cr+=1){var qr=Xr[Cr],pa=[qr.x+Ie[0],qr.y+Ie[1]];Mf(k,pa),tr.push(pa)}Ve.push(tr)}if(k[2]-k[0]<=xe/2){Cf(k);for(var ja=0,Ei=Ve;ja<Ei.length;ja+=1)for(var li=Ei[ja],en=0,Ni=li;en<Ni.length;en+=1){var Qi=Ni[en];Gs(Qi,k,V,xe)}}return Ve}function Wc(C,k){var V=[1/0,1/0,-1/0,-1/0],ne=[1/0,1/0,-1/0,-1/0],xe=C.canonicalID();if(k.type===\"Polygon\"){var Ie=Uc(k.coordinates,ne,xe),Ve=lh(C.geometry(),V,ne,xe);if(!Kl(V,ne))return!1;for(var ht=0,Rt=Ve;ht<Rt.length;ht+=1){var Ht=Rt[ht];if(!Nc(Ht,Ie))return!1}}if(k.type===\"MultiPolygon\"){var tr=Tc(k.coordinates,ne,xe),Cr=lh(C.geometry(),V,ne,xe);if(!Kl(V,ne))return!1;for(var Xr=0,qr=Cr;Xr<qr.length;Xr+=1){var pa=qr[Xr];if(!Ff(pa,tr))return!1}}return!0}function Kf(C,k){var V=[1/0,1/0,-1/0,-1/0],ne=[1/0,1/0,-1/0,-1/0],xe=C.canonicalID();if(k.type===\"Polygon\"){var 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Rt=ht[Ve],Ht=Rt[0],tr=Rt[1];this.labels.push(Ht),this.outputs.push(tr)}};ru.interpolationFactor=function(k,V,ne,xe){var Ie=0;if(k.name===\"exponential\")Ie=jf(V,k.base,ne,xe);else if(k.name===\"linear\")Ie=jf(V,1,ne,xe);else if(k.name===\"cubic-bezier\"){var Ve=k.controlPoints,ht=new o(Ve[0],Ve[1],Ve[2],Ve[3]);Ie=ht.solve(jf(V,1,ne,xe))}return Ie},ru.parse=function(k,V){var ne=k[0],xe=k[1],Ie=k[2],Ve=k.slice(3);if(!Array.isArray(xe)||xe.length===0)return V.error(\"Expected an interpolation type expression.\",1);if(xe[0]===\"linear\")xe={name:\"linear\"};else if(xe[0]===\"exponential\"){var ht=xe[1];if(typeof ht!=\"number\")return V.error(\"Exponential interpolation requires a numeric base.\",1,1);xe={name:\"exponential\",base:ht}}else if(xe[0]===\"cubic-bezier\"){var Rt=xe.slice(1);if(Rt.length!==4||Rt.some(function(li){return typeof li!=\"number\"||li<0||li>1}))return V.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 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gu=function(k,V,ne){this.type=Sn,this.needle=k,this.haystack=V,this.fromIndex=ne};gu.parse=function(k,V){if(k.length<=2||k.length>=5)return V.error(\"Expected 3 or 4 arguments, but found \"+(k.length-1)+\" instead.\");var ne=V.parse(k[1],1,$n),xe=V.parse(k[2],2,$n);if(!ne||!xe)return null;if(!Bc(ne.type,[ro,po,Sn,rl,$n]))return V.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Ns(ne.type)+\" instead\");if(k.length===4){var Ie=V.parse(k[3],3,Sn);return Ie?new gu(ne,xe,Ie):null}else return new gu(ne,xe)},gu.prototype.evaluate=function(k){var V=this.needle.evaluate(k),ne=this.haystack.evaluate(k);if(!Cu(V,[\"boolean\",\"string\",\"number\",\"null\"]))throw new Vs(\"Expected first argument to be of type boolean, string, number or null, but found \"+Ns(il(V))+\" instead.\");if(!Cu(ne,[\"string\",\"array\"]))throw new Vs(\"Expected second argument to be of type array or string, but found \"+Ns(il(ne))+\" instead.\");if(this.fromIndex){var 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tr=V.concat(ht);if(Rt.length===0)return tr.error(\"Expected at least one branch label.\");for(var Cr=0,Xr=Rt;Cr<Xr.length;Cr+=1){var qr=Xr[Cr];if(typeof qr!=\"number\"&&typeof qr!=\"string\")return tr.error(\"Branch labels must be numbers or strings.\");if(typeof qr==\"number\"&&Math.abs(qr)>Number.MAX_SAFE_INTEGER)return tr.error(\"Branch labels must be integers no larger than \"+Number.MAX_SAFE_INTEGER+\".\");if(typeof qr==\"number\"&&Math.floor(qr)!==qr)return tr.error(\"Numeric branch labels must be integer values.\");if(!ne)ne=il(qr);else if(tr.checkSubtype(ne,il(qr)))return null;if(typeof Ie[String(qr)]<\"u\")return tr.error(\"Branch labels must be unique.\");Ie[String(qr)]=Ve.length}var pa=V.parse(Ht,ht,xe);if(!pa)return null;xe=xe||pa.type,Ve.push(pa)}var ja=V.parse(k[1],1,$n);if(!ja)return null;var Ei=V.parse(k[k.length-1],k.length-1,xe);return!Ei||ja.type.kind!==\"value\"&&V.concat(1).checkSubtype(ne,ja.type)?null:new 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this._styleExpression.evaluateWithoutErrorHandling(k,V,ne,xe,Ie,Ve)},lc.prototype.evaluate=function(k,V,ne,xe,Ie,Ve){return this._styleExpression.evaluate(k,V,ne,xe,Ie,Ve)},lc.prototype.interpolationFactor=function(k,V,ne){return this.interpolationType?ru.interpolationFactor(this.interpolationType,k,V,ne):0};function Yu(C,k){if(C=zo(C,k),C.result===\"error\")return C;var V=C.value.expression,ne=Nf(V);if(!ne&&!yl(k))return Fl([new ms(\"\",\"data expressions not supported\")]);var xe=Lu(V,[\"zoom\"]);if(!xe&&!sl(k))return Fl([new ms(\"\",\"zoom expressions not supported\")]);var Ie=ae(V);if(!Ie&&!xe)return Fl([new ms(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(Ie instanceof ms)return Fl([Ie]);if(Ie instanceof ru&&!Un(k))return Fl([new ms(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!Ie)return ys(ne?new Ic(\"constant\",C.value):new Ic(\"source\",C.value));var Ve=Ie instanceof 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instanceof ms||C.eachChild(function(Ie){var Ve=ae(Ie);Ve instanceof ms?k=Ve:!k&&Ve?k=new ms(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):k&&Ve&&k!==Ve&&(k=new ms(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))}),k}function we(C){var k={color:As,string:po,number:Sn,enum:po,boolean:ro,formatted:fl,resolvedImage:xu};return C.type===\"array\"?zl(k[C.value]||$n,C.length):k[C.type]}function Se(C){return C.type===\"color\"&&Xs(C.default)?new Us(0,0,0,0):C.type===\"color\"?Us.parse(C.default)||null:C.default===void 0?null:C.default}function Oe(C){var k=C.key,V=C.value,ne=C.valueSpec||{},xe=C.objectElementValidators||{},Ie=C.style,Ve=C.styleSpec,ht=[],Rt=Io(V);if(Rt!==\"object\")return[new Cn(k,V,\"object expected, \"+Rt+\" found\")];for(var Ht in V){var tr=Ht.split(\".\")[0],Cr=ne[tr]||ne[\"*\"],Xr=void 0;if(xe[tr])Xr=xe[tr];else if(ne[tr])Xr=So;else if(xe[\"*\"])Xr=xe[\"*\"];else if(ne[\"*\"])Xr=So;else{ht.push(new Cn(k,V[Ht],'unknown property \"'+Ht+'\"'));continue}ht=ht.concat(Xr({key:(k&&k+\".\")+Ht,value:V[Ht],valueSpec:Cr,style:Ie,styleSpec:Ve,object:V,objectKey:Ht},V))}for(var qr in ne)xe[qr]||ne[qr].required&&ne[qr].default===void 0&&V[qr]===void 0&&ht.push(new Cn(k,V,'missing required property \"'+qr+'\"'));return ht}function pt(C){var k=C.value,V=C.valueSpec,ne=C.style,xe=C.styleSpec,Ie=C.key,Ve=C.arrayElementValidator||So;if(Io(k)!==\"array\")return[new Cn(Ie,k,\"array expected, \"+Io(k)+\" found\")];if(V.length&&k.length!==V.length)return[new Cn(Ie,k,\"array length \"+V.length+\" expected, length \"+k.length+\" found\")];if(V[\"min-length\"]&&k.length<V[\"min-length\"])return[new Cn(Ie,k,\"array length at least \"+V[\"min-length\"]+\" expected, length \"+k.length+\" found\")];var ht={type:V.value,values:V.values};xe.$version<7&&(ht.function=V.function),Io(V.value)===\"object\"&&(ht=V.value);for(var Rt=[],Ht=0;Ht<k.length;Ht++)Rt=Rt.concat(Ve({array:k,arrayIndex:Ht,value:k[Ht],valueSpec:ht,style:ne,styleSpec:xe,key:Ie+\"[\"+Ht+\"]\"}));return Rt}function At(C){var k=C.key,V=C.value,ne=C.valueSpec,xe=Io(V);return xe===\"number\"&&V!==V&&(xe=\"NaN\"),xe!==\"number\"?[new Cn(k,V,\"number expected, \"+xe+\" found\")]:\"minimum\"in ne&&V<ne.minimum?[new Cn(k,V,V+\" is less than the minimum value \"+ne.minimum)]:\"maximum\"in ne&&V>ne.maximum?[new Cn(k,V,V+\" is greater than the maximum value \"+ne.maximum)]:[]}function Bt(C){var k=C.valueSpec,V=uo(C.value.type),ne,xe={},Ie,Ve,ht=V!==\"categorical\"&&C.value.property===void 0,Rt=!ht,Ht=Io(C.value.stops)===\"array\"&&Io(C.value.stops[0])===\"array\"&&Io(C.value.stops[0][0])===\"object\",tr=Oe({key:C.key,value:C.value,valueSpec:C.styleSpec.function,style:C.style,styleSpec:C.styleSpec,objectElementValidators:{stops:Cr,default:pa}});return V===\"identity\"&&ht&&tr.push(new Cn(C.key,C.value,'missing required property \"property\"')),V!==\"identity\"&&!C.value.stops&&tr.push(new Cn(C.key,C.value,'missing required property \"stops\"')),V===\"exponential\"&&C.valueSpec.expression&&!Un(C.valueSpec)&&tr.push(new Cn(C.key,C.value,\"exponential functions not supported\")),C.styleSpec.$version>=8&&(Rt&&!yl(C.valueSpec)?tr.push(new Cn(C.key,C.value,\"property functions not supported\")):ht&&!sl(C.valueSpec)&&tr.push(new Cn(C.key,C.value,\"zoom functions not supported\"))),(V===\"categorical\"||Ht)&&C.value.property===void 0&&tr.push(new Cn(C.key,C.value,'\"property\" property is required')),tr;function Cr(ja){if(V===\"identity\")return[new Cn(ja.key,ja.value,'identity function may not have a \"stops\" property')];var Ei=[],li=ja.value;return Ei=Ei.concat(pt({key:ja.key,value:li,valueSpec:ja.valueSpec,style:ja.style,styleSpec:ja.styleSpec,arrayElementValidator:Xr})),Io(li)===\"array\"&&li.length===0&&Ei.push(new Cn(ja.key,li,\"array must have at least one stop\")),Ei}function Xr(ja){var Ei=[],li=ja.value,en=ja.key;if(Io(li)!==\"array\")return[new Cn(en,li,\"array expected, \"+Io(li)+\" found\")];if(li.length!==2)return[new Cn(en,li,\"array length 2 expected, length \"+li.length+\" found\")];if(Ht){if(Io(li[0])!==\"object\")return[new Cn(en,li,\"object expected, \"+Io(li[0])+\" found\")];if(li[0].zoom===void 0)return[new Cn(en,li,\"object stop key must have zoom\")];if(li[0].value===void 0)return[new Cn(en,li,\"object stop key must have value\")];if(Ve&&Ve>uo(li[0].zoom))return[new Cn(en,li[0].zoom,\"stop zoom values must appear in ascending order\")];uo(li[0].zoom)!==Ve&&(Ve=uo(li[0].zoom),Ie=void 0,xe={}),Ei=Ei.concat(Oe({key:en+\"[0]\",value:li[0],valueSpec:{zoom:{}},style:ja.style,styleSpec:ja.styleSpec,objectElementValidators:{zoom:At,value:qr}}))}else Ei=Ei.concat(qr({key:en+\"[0]\",value:li[0],valueSpec:{},style:ja.style,styleSpec:ja.styleSpec},li));return fo($s(li[1]))?Ei.concat([new Cn(en+\"[1]\",li[1],\"expressions are not allowed in function stops.\")]):Ei.concat(So({key:en+\"[1]\",value:li[1],valueSpec:k,style:ja.style,styleSpec:ja.styleSpec}))}function qr(ja,Ei){var li=Io(ja.value),en=uo(ja.value),Ni=ja.value!==null?ja.value:Ei;if(!ne)ne=li;else if(li!==ne)return[new Cn(ja.key,Ni,li+\" stop domain type must match previous stop domain type \"+ne)];if(li!==\"number\"&&li!==\"string\"&&li!==\"boolean\")return[new Cn(ja.key,Ni,\"stop domain value must be a number, string, or boolean\")];if(li!==\"number\"&&V!==\"categorical\"){var Qi=\"number expected, \"+li+\" found\";return yl(k)&&V===void 0&&(Qi+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Cn(ja.key,Ni,Qi)]}return V===\"categorical\"&&li===\"number\"&&(!isFinite(en)||Math.floor(en)!==en)?[new Cn(ja.key,Ni,\"integer expected, found \"+en)]:V!==\"categorical\"&&li===\"number\"&&Ie!==void 0&&en<Ie?[new Cn(ja.key,Ni,\"stop domain values must appear in ascending order\")]:(Ie=en,V===\"categorical\"&&en in xe?[new Cn(ja.key,Ni,\"stop domain values must be unique\")]:(xe[en]=!0,[]))}function pa(ja){return So({key:ja.key,value:ja.value,valueSpec:k,style:ja.style,styleSpec:ja.styleSpec})}}function $t(C){var k=(C.expressionContext===\"property\"?Yu:zo)($s(C.value),C.valueSpec);if(k.result===\"error\")return k.value.map(function(ne){return new Cn(\"\"+C.key+ne.key,C.value,ne.message)});var V=k.value.expression||k.value._styleExpression.expression;if(C.expressionContext===\"property\"&&C.propertyKey===\"text-font\"&&!V.outputDefined())return[new Cn(C.key,C.value,'Invalid data expression for \"'+C.propertyKey+'\". Output values must be contained as literals within the expression.')];if(C.expressionContext===\"property\"&&C.propertyType===\"layout\"&&!ml(V))return[new Cn(C.key,C.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(C.expressionContext===\"filter\"&&!ml(V))return[new Cn(C.key,C.value,'\"feature-state\" data expressions are not supported with filters.')];if(C.expressionContext&&C.expressionContext.indexOf(\"cluster\")===0){if(!Lu(V,[\"zoom\",\"feature-state\"]))return[new Cn(C.key,C.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(C.expressionContext===\"cluster-initial\"&&!Nf(V))return[new Cn(C.key,C.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function br(C){var k=C.value,V=C.key,ne=Io(k);return ne!==\"boolean\"?[new Cn(V,k,\"boolean expected, \"+ne+\" found\")]:[]}function Ar(C){var k=C.key,V=C.value,ne=Io(V);return ne!==\"string\"?[new Cn(k,V,\"color expected, \"+ne+\" found\")]:pf(V)===null?[new Cn(k,V,'color expected, \"'+V+'\" found')]:[]}function Yr(C){var k=C.key,V=C.value,ne=C.valueSpec,xe=[];return Array.isArray(ne.values)?ne.values.indexOf(uo(V))===-1&&xe.push(new Cn(k,V,\"expected one of [\"+ne.values.join(\", \")+\"], \"+JSON.stringify(V)+\" found\")):Object.keys(ne.values).indexOf(uo(V))===-1&&xe.push(new Cn(k,V,\"expected one of [\"+Object.keys(ne.values).join(\", \")+\"], \"+JSON.stringify(V)+\" found\")),xe}function sa(C){if(C===!0||C===!1)return!0;if(!Array.isArray(C)||C.length===0)return!1;switch(C[0]){case\"has\":return C.length>=2&&C[1]!==\"$id\"&&C[1]!==\"$type\";case\"in\":return C.length>=3&&(typeof C[1]!=\"string\"||Array.isArray(C[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return C.length!==3||Array.isArray(C[1])||Array.isArray(C[2]);case\"any\":case\"all\":for(var k=0,V=C.slice(1);k<V.length;k+=1){var ne=V[k];if(!sa(ne)&&typeof ne!=\"boolean\")return!1}return!0;default:return!0}}var He={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function Je(C){if(C==null)return{filter:function(){return!0},needGeometry:!1};sa(C)||(C=Ct(C));var k=zo(C,He);if(k.result===\"error\")throw new Error(k.value.map(function(ne){return ne.key+\": \"+ne.message}).join(\", \"));var V=dt(C);return{filter:function(ne,xe,Ie){return k.value.evaluate(ne,xe,{},Ie)},needGeometry:V}}function ut(C,k){return C<k?-1:C>k?1:0}function dt(C){if(!Array.isArray(C))return!1;if(C[0]===\"within\")return!0;for(var k=1;k<C.length;k++)if(dt(C[k]))return!0;return!1}function Ct(C){if(!C)return!0;var k=C[0];if(C.length<=1)return k!==\"any\";var V=k===\"==\"?wt(C[1],C[2],\"==\"):k===\"!=\"?Er(wt(C[1],C[2],\"==\")):k===\"<\"||k===\">\"||k===\"<=\"||k===\">=\"?wt(C[1],C[2],k):k===\"any\"?Dt(C.slice(1)):k===\"all\"?[\"all\"].concat(C.slice(1).map(Ct)):k===\"none\"?[\"all\"].concat(C.slice(1).map(Ct).map(Er)):k===\"in\"?ur(C[1],C.slice(2)):k===\"!in\"?Er(ur(C[1],C.slice(2))):k===\"has\"?mr(C[1]):k===\"!has\"?Er(mr(C[1])):k===\"within\"?C:!0;return V}function wt(C,k,V){switch(C){case\"$type\":return[\"filter-type-\"+V,k];case\"$id\":return[\"filter-id-\"+V,k];default:return[\"filter-\"+V,C,k]}}function Dt(C){return[\"any\"].concat(C.map(Ct))}function ur(C,k){if(k.length===0)return!1;switch(C){case\"$type\":return[\"filter-type-in\",[\"literal\",k]];case\"$id\":return[\"filter-id-in\",[\"literal\",k]];default:return k.length>200&&!k.some(function(V){return typeof V!=typeof k[0]})?[\"filter-in-large\",C,[\"literal\",k.sort(ut)]]:[\"filter-in-small\",C,[\"literal\",k]]}}function mr(C){switch(C){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",C]}}function Er(C){return[\"!\",C]}function Br(C){return sa($s(C.value))?$t(Bs({},C,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):Qr(C)}function Qr(C){var k=C.value,V=C.key;if(Io(k)!==\"array\")return[new Cn(V,k,\"array expected, \"+Io(k)+\" found\")];var ne=C.styleSpec,xe,Ie=[];if(k.length<1)return[new Cn(V,k,\"filter array must have at least 1 element\")];switch(Ie=Ie.concat(Yr({key:V+\"[0]\",value:k[0],valueSpec:ne.filter_operator,style:C.style,styleSpec:C.styleSpec})),uo(k[0])){case\"<\":case\"<=\":case\">\":case\">=\":k.length>=2&&uo(k[1])===\"$type\"&&Ie.push(new Cn(V,k,'\"$type\" cannot be use with operator \"'+k[0]+'\"'));case\"==\":case\"!=\":k.length!==3&&Ie.push(new Cn(V,k,'filter array for operator \"'+k[0]+'\" must have 3 elements'));case\"in\":case\"!in\":k.length>=2&&(xe=Io(k[1]),xe!==\"string\"&&Ie.push(new Cn(V+\"[1]\",k[1],\"string expected, \"+xe+\" found\")));for(var Ve=2;Ve<k.length;Ve++)xe=Io(k[Ve]),uo(k[1])===\"$type\"?Ie=Ie.concat(Yr({key:V+\"[\"+Ve+\"]\",value:k[Ve],valueSpec:ne.geometry_type,style:C.style,styleSpec:C.styleSpec})):xe!==\"string\"&&xe!==\"number\"&&xe!==\"boolean\"&&Ie.push(new Cn(V+\"[\"+Ve+\"]\",k[Ve],\"string, number, or boolean expected, \"+xe+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var ht=1;ht<k.length;ht++)Ie=Ie.concat(Qr({key:V+\"[\"+ht+\"]\",value:k[ht],style:C.style,styleSpec:C.styleSpec}));break;case\"has\":case\"!has\":xe=Io(k[1]),k.length!==2?Ie.push(new Cn(V,k,'filter array for \"'+k[0]+'\" operator must have 2 elements')):xe!==\"string\"&&Ie.push(new Cn(V+\"[1]\",k[1],\"string expected, \"+xe+\" found\"));break;case\"within\":xe=Io(k[1]),k.length!==2?Ie.push(new Cn(V,k,'filter array for \"'+k[0]+'\" operator must have 2 elements')):xe!==\"object\"&&Ie.push(new Cn(V+\"[1]\",k[1],\"object expected, \"+xe+\" found\"));break}return Ie}function ga(C,k){var V=C.key,ne=C.style,xe=C.styleSpec,Ie=C.value,Ve=C.objectKey,ht=xe[k+\"_\"+C.layerType];if(!ht)return[];var Rt=Ve.match(/^(.*)-transition$/);if(k===\"paint\"&&Rt&&ht[Rt[1]]&&ht[Rt[1]].transition)return So({key:V,value:Ie,valueSpec:xe.transition,style:ne,styleSpec:xe});var Ht=C.valueSpec||ht[Ve];if(!Ht)return[new Cn(V,Ie,'unknown property \"'+Ve+'\"')];var tr;if(Io(Ie)===\"string\"&&yl(Ht)&&!Ht.tokens&&(tr=/^{([^}]+)}$/.exec(Ie)))return[new Cn(V,Ie,'\"'+Ve+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(tr[1])+\" }`.\")];var Cr=[];return C.layerType===\"symbol\"&&(Ve===\"text-field\"&&ne&&!ne.glyphs&&Cr.push(new Cn(V,Ie,'use of \"text-field\" requires a style \"glyphs\" property')),Ve===\"text-font\"&&Xs($s(Ie))&&uo(Ie.type)===\"identity\"&&Cr.push(new Cn(V,Ie,'\"text-font\" does not support identity functions'))),Cr.concat(So({key:C.key,value:Ie,valueSpec:Ht,style:ne,styleSpec:xe,expressionContext:\"property\",propertyType:k,propertyKey:Ve}))}function Sa(C){return ga(C,\"paint\")}function Oa(C){return ga(C,\"layout\")}function di(C){var k=[],V=C.value,ne=C.key,xe=C.style,Ie=C.styleSpec;!V.type&&!V.ref&&k.push(new Cn(ne,V,'either \"type\" or \"ref\" is required'));var Ve=uo(V.type),ht=uo(V.ref);if(V.id)for(var Rt=uo(V.id),Ht=0;Ht<C.arrayIndex;Ht++){var tr=xe.layers[Ht];uo(tr.id)===Rt&&k.push(new Cn(ne,V.id,'duplicate layer id \"'+V.id+'\", previously used at line '+tr.id.__line__))}if(\"ref\"in V){[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach(function(pa){pa in V&&k.push(new Cn(ne,V[pa],'\"'+pa+'\" is prohibited for ref layers'))});var Cr;xe.layers.forEach(function(pa){uo(pa.id)===ht&&(Cr=pa)}),Cr?Cr.ref?k.push(new Cn(ne,V.ref,\"ref cannot reference another ref layer\")):Ve=uo(Cr.type):k.push(new Cn(ne,V.ref,'ref layer \"'+ht+'\" not found'))}else if(Ve!==\"background\")if(!V.source)k.push(new Cn(ne,V,'missing required property \"source\"'));else{var Xr=xe.sources&&xe.sources[V.source],qr=Xr&&uo(Xr.type);Xr?qr===\"vector\"&&Ve===\"raster\"?k.push(new Cn(ne,V.source,'layer \"'+V.id+'\" requires a raster source')):qr===\"raster\"&&Ve!==\"raster\"?k.push(new Cn(ne,V.source,'layer \"'+V.id+'\" requires a vector source')):qr===\"vector\"&&!V[\"source-layer\"]?k.push(new Cn(ne,V,'layer \"'+V.id+'\" must specify a \"source-layer\"')):qr===\"raster-dem\"&&Ve!==\"hillshade\"?k.push(new Cn(ne,V.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):Ve===\"line\"&&V.paint&&V.paint[\"line-gradient\"]&&(qr!==\"geojson\"||!Xr.lineMetrics)&&k.push(new Cn(ne,V,'layer \"'+V.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):k.push(new Cn(ne,V.source,'source \"'+V.source+'\" not found'))}return k=k.concat(Oe({key:ne,value:V,valueSpec:Ie.layer,style:C.style,styleSpec:C.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return So({key:ne+\".type\",value:V.type,valueSpec:Ie.layer.type,style:C.style,styleSpec:C.styleSpec,object:V,objectKey:\"type\"})},filter:Br,layout:function(ja){return Oe({layer:V,key:ja.key,value:ja.value,style:ja.style,styleSpec:ja.styleSpec,objectElementValidators:{\"*\":function(li){return Oa(Bs({layerType:Ve},li))}}})},paint:function(ja){return Oe({layer:V,key:ja.key,value:ja.value,style:ja.style,styleSpec:ja.styleSpec,objectElementValidators:{\"*\":function(li){return Sa(Bs({layerType:Ve},li))}}})}}})),k}function Wi(C){var k=C.value,V=C.key,ne=Io(k);return ne!==\"string\"?[new Cn(V,k,\"string expected, \"+ne+\" found\")]:[]}var Gi={promoteId:Tn};function on(C){var k=C.value,V=C.key,ne=C.styleSpec,xe=C.style;if(!k.type)return[new Cn(V,k,'\"type\" is required')];var 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Ve=Ie[xe];ne._values[Ve]=this._values[Ve].transitioned(k,V._values[Ve])}return ne},ps.prototype.untransitioned=function(){for(var k=new Gl(this._properties),V=0,ne=Object.keys(this._values);V<ne.length;V+=1){var xe=ne[V];k._values[xe]=this._values[xe].untransitioned()}return k};var Tl=function(k,V,ne,xe,Ie){this.property=k,this.value=V,this.begin=Ie+xe.delay||0,this.end=this.begin+xe.duration||0,k.specification.transition&&(xe.delay||xe.duration)&&(this.prior=ne)};Tl.prototype.possiblyEvaluate=function(k,V,ne){var xe=k.now||0,Ie=this.value.possiblyEvaluate(k,V,ne),Ve=this.prior;if(Ve){if(xe>this.end)return this.prior=null,Ie;if(this.value.isDataDriven())return this.prior=null,Ie;if(xe<this.begin)return Ve.possiblyEvaluate(k,V,ne);var ht=(xe-this.begin)/(this.end-this.begin);return this.property.interpolate(Ve.possiblyEvaluate(k,V,ne),Ie,g(ht))}else return Ie};var Gl=function(k){this._properties=k,this._values=Object.create(k.defaultTransitioningPropertyValues)};Gl.prototype.possiblyEvaluate=function(k,V,ne){for(var xe=new yc(this._properties),Ie=0,Ve=Object.keys(this._values);Ie<Ve.length;Ie+=1){var ht=Ve[Ie];xe._values[ht]=this._values[ht].possiblyEvaluate(k,V,ne)}return xe},Gl.prototype.hasTransition=function(){for(var k=0,V=Object.keys(this._values);k<V.length;k+=1){var ne=V[k];if(this._values[ne].prior)return!0}return!1};var Tu=function(k){this._properties=k,this._values=Object.create(k.defaultPropertyValues)};Tu.prototype.getValue=function(k){return O(this._values[k].value)},Tu.prototype.setValue=function(k,V){this._values[k]=new vo(this._values[k].property,V===null?void 0:O(V))},Tu.prototype.serialize=function(){for(var k={},V=0,ne=Object.keys(this._values);V<ne.length;V+=1){var xe=ne[V],Ie=this.getValue(xe);Ie!==void 0&&(k[xe]=Ie)}return k},Tu.prototype.possiblyEvaluate=function(k,V,ne){for(var xe=new yc(this._properties),Ie=0,Ve=Object.keys(this._values);Ie<Ve.length;Ie+=1){var ht=Ve[Ie];xe._values[ht]=this._values[ht].possiblyEvaluate(k,V,ne)}return xe};var Il=function(k,V,ne){this.property=k,this.value=V,this.parameters=ne};Il.prototype.isConstant=function(){return this.value.kind===\"constant\"},Il.prototype.constantOr=function(k){return this.value.kind===\"constant\"?this.value.value:k},Il.prototype.evaluate=function(k,V,ne,xe){return this.property.evaluate(this.value,this.parameters,k,V,ne,xe)};var yc=function(k){this._properties=k,this._values=Object.create(k.defaultPossiblyEvaluatedValues)};yc.prototype.get=function(k){return this._values[k]};var nt=function(k){this.specification=k};nt.prototype.possiblyEvaluate=function(k,V){return k.expression.evaluate(V)},nt.prototype.interpolate=function(k,V,ne){var xe=Bu[this.specification.type];return xe?xe(k,V,ne):k};var Yt=function(k,V){this.specification=k,this.overrides=V};Yt.prototype.possiblyEvaluate=function(k,V,ne,xe){return k.expression.kind===\"constant\"||k.expression.kind===\"camera\"?new Il(this,{kind:\"constant\",value:k.expression.evaluate(V,null,{},ne,xe)},V):new Il(this,k.expression,V)},Yt.prototype.interpolate=function(k,V,ne){if(k.value.kind!==\"constant\"||V.value.kind!==\"constant\")return k;if(k.value.value===void 0||V.value.value===void 0)return new Il(this,{kind:\"constant\",value:void 0},k.parameters);var xe=Bu[this.specification.type];return xe?new Il(this,{kind:\"constant\",value:xe(k.value.value,V.value.value,ne)},k.parameters):k},Yt.prototype.evaluate=function(k,V,ne,xe,Ie,Ve){return k.kind===\"constant\"?k.value:k.evaluate(V,ne,xe,Ie,Ve)};var cr=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.possiblyEvaluate=function(ne,xe,Ie,Ve){if(ne.value===void 0)return new Il(this,{kind:\"constant\",value:void 0},xe);if(ne.expression.kind===\"constant\"){var ht=ne.expression.evaluate(xe,null,{},Ie,Ve),Rt=ne.property.specification.type===\"resolvedImage\",Ht=Rt&&typeof ht!=\"string\"?ht.name:ht,tr=this._calculate(Ht,Ht,Ht,xe);return new Il(this,{kind:\"constant\",value:tr},xe)}else if(ne.expression.kind===\"camera\"){var Cr=this._calculate(ne.expression.evaluate({zoom:xe.zoom-1}),ne.expression.evaluate({zoom:xe.zoom}),ne.expression.evaluate({zoom:xe.zoom+1}),xe);return new Il(this,{kind:\"constant\",value:Cr},xe)}else return new Il(this,ne.expression,xe)},k.prototype.evaluate=function(ne,xe,Ie,Ve,ht,Rt){if(ne.kind===\"source\"){var Ht=ne.evaluate(xe,Ie,Ve,ht,Rt);return this._calculate(Ht,Ht,Ht,xe)}else return ne.kind===\"composite\"?this._calculate(ne.evaluate({zoom:Math.floor(xe.zoom)-1},Ie,Ve),ne.evaluate({zoom:Math.floor(xe.zoom)},Ie,Ve),ne.evaluate({zoom:Math.floor(xe.zoom)+1},Ie,Ve),xe):ne.value},k.prototype._calculate=function(ne,xe,Ie,Ve){var ht=Ve.zoom;return ht>Ve.zoomHistory.lastIntegerZoom?{from:ne,to:xe}:{from:Ie,to:xe}},k.prototype.interpolate=function(ne){return ne},k}(Yt),ua=function(k){this.specification=k};ua.prototype.possiblyEvaluate=function(k,V,ne,xe){if(k.value!==void 0)if(k.expression.kind===\"constant\"){var Ie=k.expression.evaluate(V,null,{},ne,xe);return this._calculate(Ie,Ie,Ie,V)}else return this._calculate(k.expression.evaluate(new gn(Math.floor(V.zoom-1),V)),k.expression.evaluate(new gn(Math.floor(V.zoom),V)),k.expression.evaluate(new gn(Math.floor(V.zoom+1),V)),V)},ua.prototype._calculate=function(k,V,ne,xe){var Ie=xe.zoom;return Ie>xe.zoomHistory.lastIntegerZoom?{from:k,to:V}:{from:ne,to:V}},ua.prototype.interpolate=function(k){return k};var Aa=function(k){this.specification=k};Aa.prototype.possiblyEvaluate=function(k,V,ne,xe){return!!k.expression.evaluate(V,null,{},ne,xe)},Aa.prototype.interpolate=function(){return!1};var xa=function(k){this.properties=k,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(var V in k){var ne=k[V];ne.specification.overridable&&this.overridableProperties.push(V);var xe=this.defaultPropertyValues[V]=new vo(ne,void 0),Ie=this.defaultTransitionablePropertyValues[V]=new cs(ne);this.defaultTransitioningPropertyValues[V]=Ie.untransitioned(),this.defaultPossiblyEvaluatedValues[V]=xe.possiblyEvaluate({})}};de(\"DataDrivenProperty\",Yt),de(\"DataConstantProperty\",nt),de(\"CrossFadedDataDrivenProperty\",cr),de(\"CrossFadedProperty\",ua),de(\"ColorRampProperty\",Aa);var wa=\"-transition\",Ja=function(C){function k(V,ne){if(C.call(this),this.id=V.id,this.type=V.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},V.type!==\"custom\"&&(V=V,this.metadata=V.metadata,this.minzoom=V.minzoom,this.maxzoom=V.maxzoom,V.type!==\"background\"&&(this.source=V.source,this.sourceLayer=V[\"source-layer\"],this.filter=V.filter),ne.layout&&(this._unevaluatedLayout=new Tu(ne.layout)),ne.paint)){this._transitionablePaint=new ps(ne.paint);for(var xe in V.paint)this.setPaintProperty(xe,V.paint[xe],{validate:!1});for(var Ie in V.layout)this.setLayoutProperty(Ie,V.layout[Ie],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new yc(ne.paint)}}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},k.prototype.getLayoutProperty=function(ne){return ne===\"visibility\"?this.visibility:this._unevaluatedLayout.getValue(ne)},k.prototype.setLayoutProperty=function(ne,xe,Ie){if(Ie===void 0&&(Ie={}),xe!=null){var Ve=\"layers.\"+this.id+\".layout.\"+ne;if(this._validate($l,Ve,ne,xe,Ie))return}if(ne===\"visibility\"){this.visibility=xe;return}this._unevaluatedLayout.setValue(ne,xe)},k.prototype.getPaintProperty=function(ne){return z(ne,wa)?this._transitionablePaint.getTransition(ne.slice(0,-wa.length)):this._transitionablePaint.getValue(ne)},k.prototype.setPaintProperty=function(ne,xe,Ie){if(Ie===void 0&&(Ie={}),xe!=null){var Ve=\"layers.\"+this.id+\".paint.\"+ne;if(this._validate(Pl,Ve,ne,xe,Ie))return!1}if(z(ne,wa))return this._transitionablePaint.setTransition(ne.slice(0,-wa.length),xe||void 0),!1;var ht=this._transitionablePaint._values[ne],Rt=ht.property.specification[\"property-type\"]===\"cross-faded-data-driven\",Ht=ht.value.isDataDriven(),tr=ht.value;this._transitionablePaint.setValue(ne,xe),this._handleSpecialPaintPropertyUpdate(ne);var Cr=this._transitionablePaint._values[ne].value,Xr=Cr.isDataDriven();return Xr||Ht||Rt||this._handleOverridablePaintPropertyUpdate(ne,tr,Cr)},k.prototype._handleSpecialPaintPropertyUpdate=function(ne){},k.prototype._handleOverridablePaintPropertyUpdate=function(ne,xe,Ie){return!1},k.prototype.isHidden=function(ne){return this.minzoom&&ne<this.minzoom||this.maxzoom&&ne>=this.maxzoom?!0:this.visibility===\"none\"},k.prototype.updateTransitions=function(ne){this._transitioningPaint=this._transitionablePaint.transitioned(ne,this._transitioningPaint)},k.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},k.prototype.recalculate=function(ne,xe){ne.getCrossfadeParameters&&(this._crossfadeParameters=ne.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(ne,void 0,xe)),this.paint=this._transitioningPaint.possiblyEvaluate(ne,void 0,xe)},k.prototype.serialize=function(){var ne={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(ne.layout=ne.layout||{},ne.layout.visibility=this.visibility),B(ne,function(xe,Ie){return xe!==void 0&&!(Ie===\"layout\"&&!Object.keys(xe).length)&&!(Ie===\"paint\"&&!Object.keys(xe).length)})},k.prototype._validate=function(ne,xe,Ie,Ve,ht){return ht===void 0&&(ht={}),ht&&ht.validate===!1?!1:Ru(this,ne.call(es,{key:xe,layerType:this.type,objectKey:Ie,value:Ve,styleSpec:Ui,style:{glyphs:!0,sprite:!0}}))},k.prototype.is3D=function(){return!1},k.prototype.isTileClipped=function(){return!1},k.prototype.hasOffscreenPass=function(){return!1},k.prototype.resize=function(){},k.prototype.isStateDependent=function(){for(var ne in this.paint._values){var xe=this.paint.get(ne);if(!(!(xe instanceof Il)||!yl(xe.property.specification))&&(xe.value.kind===\"source\"||xe.value.kind===\"composite\")&&xe.value.isStateDependent)return!0}return!1},k}(Ur),Ai={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},bi=function(k,V){this._structArray=k,this._pos1=V*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},fi=128,yn=5,Oi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};Oi.serialize=function(k,V){return k._trim(),V&&(k.isTransferred=!0,V.push(k.arrayBuffer)),{length:k.length,arrayBuffer:k.arrayBuffer}},Oi.deserialize=function(k){var V=Object.create(this.prototype);return V.arrayBuffer=k.arrayBuffer,V.length=k.length,V.capacity=k.arrayBuffer.byteLength/V.bytesPerElement,V._refreshViews(),V},Oi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Oi.prototype.clear=function(){this.length=0},Oi.prototype.resize=function(k){this.reserve(k),this.length=k},Oi.prototype.reserve=function(k){if(k>this.capacity){this.capacity=Math.max(k,Math.floor(this.capacity*yn),fi),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var V=this.uint8;this._refreshViews(),V&&this.uint8.set(V)}},Oi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};function ki(C,k){k===void 0&&(k=1);var V=0,ne=0,xe=C.map(function(Ve){var ht=qa(Ve.type),Rt=V=ea(V,Math.max(k,ht)),Ht=Ve.components||1;return ne=Math.max(ne,ht),V+=ht*Ht,{name:Ve.name,type:Ve.type,components:Ht,offset:Rt}}),Ie=ea(V,Math.max(ne,k));return{members:xe,size:Ie,alignment:k}}function qa(C){return Ai[C].BYTES_PER_ELEMENT}function ea(C,k){return Math.ceil(C/k)*k}var Ea=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe){var Ie=this.length;return this.resize(Ie+1),this.emplace(Ie,ne,xe)},k.prototype.emplace=function(ne,xe,Ie){var Ve=ne*2;return this.int16[Ve+0]=xe,this.int16[Ve+1]=Ie,ne},k}(Oi);Ea.prototype.bytesPerElement=4,de(\"StructArrayLayout2i4\",Ea);var ii=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve){var ht=this.length;return this.resize(ht+1),this.emplace(ht,ne,xe,Ie,Ve)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht){var Rt=ne*4;return this.int16[Rt+0]=xe,this.int16[Rt+1]=Ie,this.int16[Rt+2]=Ve,this.int16[Rt+3]=ht,ne},k}(Oi);ii.prototype.bytesPerElement=8,de(\"StructArrayLayout4i8\",ii);var gi=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve,ht,Rt){var Ht=this.length;return this.resize(Ht+1),this.emplace(Ht,ne,xe,Ie,Ve,ht,Rt)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht,Rt,Ht){var tr=ne*6;return this.int16[tr+0]=xe,this.int16[tr+1]=Ie,this.int16[tr+2]=Ve,this.int16[tr+3]=ht,this.int16[tr+4]=Rt,this.int16[tr+5]=Ht,ne},k}(Oi);gi.prototype.bytesPerElement=12,de(\"StructArrayLayout2i4i12\",gi);var Wa=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve,ht,Rt){var Ht=this.length;return this.resize(Ht+1),this.emplace(Ht,ne,xe,Ie,Ve,ht,Rt)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht,Rt,Ht){var tr=ne*4,Cr=ne*8;return this.int16[tr+0]=xe,this.int16[tr+1]=Ie,this.uint8[Cr+4]=Ve,this.uint8[Cr+5]=ht,this.uint8[Cr+6]=Rt,this.uint8[Cr+7]=Ht,ne},k}(Oi);Wa.prototype.bytesPerElement=8,de(\"StructArrayLayout2i4ub8\",Wa);var ji=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe){var Ie=this.length;return this.resize(Ie+1),this.emplace(Ie,ne,xe)},k.prototype.emplace=function(ne,xe,Ie){var Ve=ne*2;return this.float32[Ve+0]=xe,this.float32[Ve+1]=Ie,ne},k}(Oi);ji.prototype.bytesPerElement=8,de(\"StructArrayLayout2f8\",ji);var Ii=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr){var qr=this.length;return this.resize(qr+1),this.emplace(qr,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr){var pa=ne*10;return this.uint16[pa+0]=xe,this.uint16[pa+1]=Ie,this.uint16[pa+2]=Ve,this.uint16[pa+3]=ht,this.uint16[pa+4]=Rt,this.uint16[pa+5]=Ht,this.uint16[pa+6]=tr,this.uint16[pa+7]=Cr,this.uint16[pa+8]=Xr,this.uint16[pa+9]=qr,ne},k}(Oi);Ii.prototype.bytesPerElement=20,de(\"StructArrayLayout10ui20\",Ii);var hn=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa){var ja=this.length;return this.resize(ja+1),this.emplace(ja,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa,ja){var Ei=ne*12;return this.int16[Ei+0]=xe,this.int16[Ei+1]=Ie,this.int16[Ei+2]=Ve,this.int16[Ei+3]=ht,this.uint16[Ei+4]=Rt,this.uint16[Ei+5]=Ht,this.uint16[Ei+6]=tr,this.uint16[Ei+7]=Cr,this.int16[Ei+8]=Xr,this.int16[Ei+9]=qr,this.int16[Ei+10]=pa,this.int16[Ei+11]=ja,ne},k}(Oi);hn.prototype.bytesPerElement=24,de(\"StructArrayLayout4i4ui4i24\",hn);var Za=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie){var Ve=this.length;return this.resize(Ve+1),this.emplace(Ve,ne,xe,Ie)},k.prototype.emplace=function(ne,xe,Ie,Ve){var ht=ne*3;return this.float32[ht+0]=xe,this.float32[ht+1]=Ie,this.float32[ht+2]=Ve,ne},k}(Oi);Za.prototype.bytesPerElement=12,de(\"StructArrayLayout3f12\",Za);var Va=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne){var xe=this.length;return this.resize(xe+1),this.emplace(xe,ne)},k.prototype.emplace=function(ne,xe){var Ie=ne*1;return this.uint32[Ie+0]=xe,ne},k}(Oi);Va.prototype.bytesPerElement=4,de(\"StructArrayLayout1ul4\",Va);var $i=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr){var Xr=this.length;return this.resize(Xr+1),this.emplace(Xr,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr){var qr=ne*10,pa=ne*5;return this.int16[qr+0]=xe,this.int16[qr+1]=Ie,this.int16[qr+2]=Ve,this.int16[qr+3]=ht,this.int16[qr+4]=Rt,this.int16[qr+5]=Ht,this.uint32[pa+3]=tr,this.uint16[qr+8]=Cr,this.uint16[qr+9]=Xr,ne},k}(Oi);$i.prototype.bytesPerElement=20,de(\"StructArrayLayout6i1ul2ui20\",$i);var zi=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve,ht,Rt){var Ht=this.length;return this.resize(Ht+1),this.emplace(Ht,ne,xe,Ie,Ve,ht,Rt)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht,Rt,Ht){var tr=ne*6;return this.int16[tr+0]=xe,this.int16[tr+1]=Ie,this.int16[tr+2]=Ve,this.int16[tr+3]=ht,this.int16[tr+4]=Rt,this.int16[tr+5]=Ht,ne},k}(Oi);zi.prototype.bytesPerElement=12,de(\"StructArrayLayout2i2i2i12\",zi);var Si=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve,ht){var Rt=this.length;return this.resize(Rt+1),this.emplace(Rt,ne,xe,Ie,Ve,ht)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht,Rt){var Ht=ne*4,tr=ne*8;return this.float32[Ht+0]=xe,this.float32[Ht+1]=Ie,this.float32[Ht+2]=Ve,this.int16[tr+6]=ht,this.int16[tr+7]=Rt,ne},k}(Oi);Si.prototype.bytesPerElement=16,de(\"StructArrayLayout2f1f2i16\",Si);var Ti=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve){var ht=this.length;return this.resize(ht+1),this.emplace(ht,ne,xe,Ie,Ve)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht){var Rt=ne*12,Ht=ne*3;return this.uint8[Rt+0]=xe,this.uint8[Rt+1]=Ie,this.float32[Ht+1]=Ve,this.float32[Ht+2]=ht,ne},k}(Oi);Ti.prototype.bytesPerElement=12,de(\"StructArrayLayout2ub2f12\",Ti);var Ki=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie){var Ve=this.length;return this.resize(Ve+1),this.emplace(Ve,ne,xe,Ie)},k.prototype.emplace=function(ne,xe,Ie,Ve){var ht=ne*3;return this.uint16[ht+0]=xe,this.uint16[ht+1]=Ie,this.uint16[ht+2]=Ve,ne},k}(Oi);Ki.prototype.bytesPerElement=6,de(\"StructArrayLayout3ui6\",Ki);var mn=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa,ja,Ei,li,en,Ni){var Qi=this.length;return this.resize(Qi+1),this.emplace(Qi,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa,ja,Ei,li,en,Ni)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa,ja,Ei,li,en,Ni,Qi){var ln=ne*24,xn=ne*12,qn=ne*48;return this.int16[ln+0]=xe,this.int16[ln+1]=Ie,this.uint16[ln+2]=Ve,this.uint16[ln+3]=ht,this.uint32[xn+2]=Rt,this.uint32[xn+3]=Ht,this.uint32[xn+4]=tr,this.uint16[ln+10]=Cr,this.uint16[ln+11]=Xr,this.uint16[ln+12]=qr,this.float32[xn+7]=pa,this.float32[xn+8]=ja,this.uint8[qn+36]=Ei,this.uint8[qn+37]=li,this.uint8[qn+38]=en,this.uint32[xn+10]=Ni,this.int16[ln+22]=Qi,ne},k}(Oi);mn.prototype.bytesPerElement=48,de(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",mn);var In=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa,ja,Ei,li,en,Ni,Qi,ln,xn,qn,Nn,Mo,no,yo,Ms,Eo,Ro){var Zs=this.length;return this.resize(Zs+1),this.emplace(Zs,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa,ja,Ei,li,en,Ni,Qi,ln,xn,qn,Nn,Mo,no,yo,Ms,Eo,Ro)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa,ja,Ei,li,en,Ni,Qi,ln,xn,qn,Nn,Mo,no,yo,Ms,Eo,Ro,Zs){var _s=ne*34,Wl=ne*17;return this.int16[_s+0]=xe,this.int16[_s+1]=Ie,this.int16[_s+2]=Ve,this.int16[_s+3]=ht,this.int16[_s+4]=Rt,this.int16[_s+5]=Ht,this.int16[_s+6]=tr,this.int16[_s+7]=Cr,this.uint16[_s+8]=Xr,this.uint16[_s+9]=qr,this.uint16[_s+10]=pa,this.uint16[_s+11]=ja,this.uint16[_s+12]=Ei,this.uint16[_s+13]=li,this.uint16[_s+14]=en,this.uint16[_s+15]=Ni,this.uint16[_s+16]=Qi,this.uint16[_s+17]=ln,this.uint16[_s+18]=xn,this.uint16[_s+19]=qn,this.uint16[_s+20]=Nn,this.uint16[_s+21]=Mo,this.uint16[_s+22]=no,this.uint32[Wl+12]=yo,this.float32[Wl+13]=Ms,this.float32[Wl+14]=Eo,this.float32[Wl+15]=Ro,this.float32[Wl+16]=Zs,ne},k}(Oi);In.prototype.bytesPerElement=68,de(\"StructArrayLayout8i15ui1ul4f68\",In);var Di=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne){var xe=this.length;return this.resize(xe+1),this.emplace(xe,ne)},k.prototype.emplace=function(ne,xe){var Ie=ne*1;return this.float32[Ie+0]=xe,ne},k}(Oi);Di.prototype.bytesPerElement=4,de(\"StructArrayLayout1f4\",Di);var nn=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie){var Ve=this.length;return this.resize(Ve+1),this.emplace(Ve,ne,xe,Ie)},k.prototype.emplace=function(ne,xe,Ie,Ve){var ht=ne*3;return this.int16[ht+0]=xe,this.int16[ht+1]=Ie,this.int16[ht+2]=Ve,ne},k}(Oi);nn.prototype.bytesPerElement=6,de(\"StructArrayLayout3i6\",nn);var En=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie){var Ve=this.length;return this.resize(Ve+1),this.emplace(Ve,ne,xe,Ie)},k.prototype.emplace=function(ne,xe,Ie,Ve){var ht=ne*2,Rt=ne*4;return this.uint32[ht+0]=xe,this.uint16[Rt+2]=Ie,this.uint16[Rt+3]=Ve,ne},k}(Oi);En.prototype.bytesPerElement=8,de(\"StructArrayLayout1ul2ui8\",En);var Rn=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe){var Ie=this.length;return this.resize(Ie+1),this.emplace(Ie,ne,xe)},k.prototype.emplace=function(ne,xe,Ie){var Ve=ne*2;return this.uint16[Ve+0]=xe,this.uint16[Ve+1]=Ie,ne},k}(Oi);Rn.prototype.bytesPerElement=4,de(\"StructArrayLayout2ui4\",Rn);var Gn=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne){var xe=this.length;return this.resize(xe+1),this.emplace(xe,ne)},k.prototype.emplace=function(ne,xe){var Ie=ne*1;return this.uint16[Ie+0]=xe,ne},k}(Oi);Gn.prototype.bytesPerElement=2,de(\"StructArrayLayout1ui2\",Gn);var Ps=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},k.prototype.emplaceBack=function(ne,xe,Ie,Ve){var ht=this.length;return this.resize(ht+1),this.emplace(ht,ne,xe,Ie,Ve)},k.prototype.emplace=function(ne,xe,Ie,Ve,ht){var Rt=ne*4;return this.float32[Rt+0]=xe,this.float32[Rt+1]=Ie,this.float32[Rt+2]=Ve,this.float32[Rt+3]=ht,ne},k}(Oi);Ps.prototype.bytesPerElement=16,de(\"StructArrayLayout4f16\",Ps);var xl=function(C){function k(){C.apply(this,arguments)}C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k;var V={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return V.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},V.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},V.x1.get=function(){return this._structArray.int16[this._pos2+2]},V.y1.get=function(){return this._structArray.int16[this._pos2+3]},V.x2.get=function(){return this._structArray.int16[this._pos2+4]},V.y2.get=function(){return this._structArray.int16[this._pos2+5]},V.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},V.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},V.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},V.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(k.prototype,V),k}(bi);xl.prototype.size=20;var ho=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.get=function(ne){return new xl(this,ne)},k}($i);de(\"CollisionBoxArray\",ho);var Hl=function(C){function k(){C.apply(this,arguments)}C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k;var V={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return V.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},V.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},V.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},V.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},V.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},V.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},V.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},V.segment.get=function(){return this._structArray.uint16[this._pos2+10]},V.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},V.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},V.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},V.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},V.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},V.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},V.placedOrientation.set=function(ne){this._structArray.uint8[this._pos1+37]=ne},V.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},V.hidden.set=function(ne){this._structArray.uint8[this._pos1+38]=ne},V.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},V.crossTileID.set=function(ne){this._structArray.uint32[this._pos4+10]=ne},V.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(k.prototype,V),k}(bi);Hl.prototype.size=48;var fs=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.get=function(ne){return new Hl(this,ne)},k}(mn);de(\"PlacedSymbolArray\",fs);var Al=function(C){function k(){C.apply(this,arguments)}C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k;var V={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return V.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},V.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},V.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},V.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},V.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},V.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},V.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},V.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},V.key.get=function(){return this._structArray.uint16[this._pos2+8]},V.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},V.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},V.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},V.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},V.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},V.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},V.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},V.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},V.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},V.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},V.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},V.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},V.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},V.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},V.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},V.crossTileID.set=function(ne){this._structArray.uint32[this._pos4+12]=ne},V.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},V.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},V.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},V.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(k.prototype,V),k}(bi);Al.prototype.size=68;var El=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.get=function(ne){return new Al(this,ne)},k}(In);de(\"SymbolInstanceArray\",El);var Ql=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.getoffsetX=function(ne){return this.float32[ne*1+0]},k}(Di);de(\"GlyphOffsetArray\",Ql);var Fs=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.getx=function(ne){return this.int16[ne*3+0]},k.prototype.gety=function(ne){return this.int16[ne*3+1]},k.prototype.gettileUnitDistanceFromAnchor=function(ne){return this.int16[ne*3+2]},k}(nn);de(\"SymbolLineVertexArray\",Fs);var pl=function(C){function k(){C.apply(this,arguments)}C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k;var V={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return V.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},V.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},V.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(k.prototype,V),k}(bi);pl.prototype.size=8;var bl=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.get=function(ne){return new pl(this,ne)},k}(En);de(\"FeatureIndexArray\",bl);var Hn=ki([{name:\"a_pos\",components:2,type:\"Int16\"}],4),Cl=Hn.members,Lo=function(k){k===void 0&&(k=[]),this.segments=k};Lo.prototype.prepareSegment=function(k,V,ne,xe){var Ie=this.segments[this.segments.length-1];return k>Lo.MAX_VERTEX_ARRAY_LENGTH&&U(\"Max vertices per segment is \"+Lo.MAX_VERTEX_ARRAY_LENGTH+\": bucket requested \"+k),(!Ie||Ie.vertexLength+k>Lo.MAX_VERTEX_ARRAY_LENGTH||Ie.sortKey!==xe)&&(Ie={vertexOffset:V.length,primitiveOffset:ne.length,vertexLength:0,primitiveLength:0},xe!==void 0&&(Ie.sortKey=xe),this.segments.push(Ie)),Ie},Lo.prototype.get=function(){return this.segments},Lo.prototype.destroy=function(){for(var k=0,V=this.segments;k<V.length;k+=1){var ne=V[k];for(var xe in ne.vaos)ne.vaos[xe].destroy()}},Lo.simpleSegment=function(k,V,ne,xe){return new Lo([{vertexOffset:k,primitiveOffset:V,vertexLength:ne,primitiveLength:xe,vaos:{},sortKey:0}])},Lo.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,de(\"SegmentVector\",Lo);function ve(C,k){return C=l(Math.floor(C),0,255),k=l(Math.floor(k),0,255),256*C+k}var Y=ki([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]),ye=t(function(C){function k(V,ne){var xe,Ie,Ve,ht,Rt,Ht,tr,Cr;for(xe=V.length&3,Ie=V.length-xe,Ve=ne,Rt=3432918353,Ht=461845907,Cr=0;Cr<Ie;)tr=V.charCodeAt(Cr)&255|(V.charCodeAt(++Cr)&255)<<8|(V.charCodeAt(++Cr)&255)<<16|(V.charCodeAt(++Cr)&255)<<24,++Cr,tr=(tr&65535)*Rt+(((tr>>>16)*Rt&65535)<<16)&4294967295,tr=tr<<15|tr>>>17,tr=(tr&65535)*Ht+(((tr>>>16)*Ht&65535)<<16)&4294967295,Ve^=tr,Ve=Ve<<13|Ve>>>19,ht=(Ve&65535)*5+(((Ve>>>16)*5&65535)<<16)&4294967295,Ve=(ht&65535)+27492+(((ht>>>16)+58964&65535)<<16);switch(tr=0,xe){case 3:tr^=(V.charCodeAt(Cr+2)&255)<<16;case 2:tr^=(V.charCodeAt(Cr+1)&255)<<8;case 1:tr^=V.charCodeAt(Cr)&255,tr=(tr&65535)*Rt+(((tr>>>16)*Rt&65535)<<16)&4294967295,tr=tr<<15|tr>>>17,tr=(tr&65535)*Ht+(((tr>>>16)*Ht&65535)<<16)&4294967295,Ve^=tr}return Ve^=V.length,Ve^=Ve>>>16,Ve=(Ve&65535)*2246822507+(((Ve>>>16)*2246822507&65535)<<16)&4294967295,Ve^=Ve>>>13,Ve=(Ve&65535)*3266489909+(((Ve>>>16)*3266489909&65535)<<16)&4294967295,Ve^=Ve>>>16,Ve>>>0}C.exports=k}),te=t(function(C){function k(V,ne){for(var xe=V.length,Ie=ne^xe,Ve=0,ht;xe>=4;)ht=V.charCodeAt(Ve)&255|(V.charCodeAt(++Ve)&255)<<8|(V.charCodeAt(++Ve)&255)<<16|(V.charCodeAt(++Ve)&255)<<24,ht=(ht&65535)*1540483477+(((ht>>>16)*1540483477&65535)<<16),ht^=ht>>>24,ht=(ht&65535)*1540483477+(((ht>>>16)*1540483477&65535)<<16),Ie=(Ie&65535)*1540483477+(((Ie>>>16)*1540483477&65535)<<16)^ht,xe-=4,++Ve;switch(xe){case 3:Ie^=(V.charCodeAt(Ve+2)&255)<<16;case 2:Ie^=(V.charCodeAt(Ve+1)&255)<<8;case 1:Ie^=V.charCodeAt(Ve)&255,Ie=(Ie&65535)*1540483477+(((Ie>>>16)*1540483477&65535)<<16)}return Ie^=Ie>>>13,Ie=(Ie&65535)*1540483477+(((Ie>>>16)*1540483477&65535)<<16),Ie^=Ie>>>15,Ie>>>0}C.exports=k}),me=ye,Ge=ye,Le=te;me.murmur3=Ge,me.murmur2=Le;var $e=function(){this.ids=[],this.positions=[],this.indexed=!1};$e.prototype.add=function(k,V,ne,xe){this.ids.push(jt(k)),this.positions.push(V,ne,xe)},$e.prototype.getPositions=function(k){for(var V=jt(k),ne=0,xe=this.ids.length-1;ne<xe;){var Ie=ne+xe>>1;this.ids[Ie]>=V?xe=Ie:ne=Ie+1}for(var Ve=[];this.ids[ne]===V;){var ht=this.positions[3*ne],Rt=this.positions[3*ne+1],Ht=this.positions[3*ne+2];Ve.push({index:ht,start:Rt,end:Ht}),ne++}return Ve},$e.serialize=function(k,V){var ne=new Float64Array(k.ids),xe=new Uint32Array(k.positions);return _r(ne,xe,0,ne.length-1),V&&V.push(ne.buffer,xe.buffer),{ids:ne,positions:xe}},$e.deserialize=function(k){var V=new $e;return V.ids=k.ids,V.positions=k.positions,V.indexed=!0,V};var mt=Math.pow(2,53)-1;function jt(C){var k=+C;return!isNaN(k)&&k<=mt?k:me(String(C))}function _r(C,k,V,ne){for(;V<ne;){for(var xe=C[V+ne>>1],Ie=V-1,Ve=ne+1;;){do Ie++;while(C[Ie]<xe);do Ve--;while(C[Ve]>xe);if(Ie>=Ve)break;Fr(C,Ie,Ve),Fr(k,3*Ie,3*Ve),Fr(k,3*Ie+1,3*Ve+1),Fr(k,3*Ie+2,3*Ve+2)}Ve-V<ne-Ve?(_r(C,k,V,Ve),V=Ve+1):(_r(C,k,Ve+1,ne),ne=Ve)}}function Fr(C,k,V){var ne=C[k];C[k]=C[V],C[V]=ne}de(\"FeaturePositionMap\",$e);var hr=function(k,V){this.gl=k.gl,this.location=V},gt=function(C){function k(V,ne){C.call(this,V,ne),this.current=0}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.set=function(ne){this.current!==ne&&(this.current=ne,this.gl.uniform1i(this.location,ne))},k}(hr),Et=function(C){function k(V,ne){C.call(this,V,ne),this.current=0}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.set=function(ne){this.current!==ne&&(this.current=ne,this.gl.uniform1f(this.location,ne))},k}(hr),Ft=function(C){function k(V,ne){C.call(this,V,ne),this.current=[0,0]}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.set=function(ne){(ne[0]!==this.current[0]||ne[1]!==this.current[1])&&(this.current=ne,this.gl.uniform2f(this.location,ne[0],ne[1]))},k}(hr),ir=function(C){function k(V,ne){C.call(this,V,ne),this.current=[0,0,0]}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.set=function(ne){(ne[0]!==this.current[0]||ne[1]!==this.current[1]||ne[2]!==this.current[2])&&(this.current=ne,this.gl.uniform3f(this.location,ne[0],ne[1],ne[2]))},k}(hr),fr=function(C){function k(V,ne){C.call(this,V,ne),this.current=[0,0,0,0]}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.set=function(ne){(ne[0]!==this.current[0]||ne[1]!==this.current[1]||ne[2]!==this.current[2]||ne[3]!==this.current[3])&&(this.current=ne,this.gl.uniform4f(this.location,ne[0],ne[1],ne[2],ne[3]))},k}(hr),sr=function(C){function k(V,ne){C.call(this,V,ne),this.current=Us.transparent}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.set=function(ne){(ne.r!==this.current.r||ne.g!==this.current.g||ne.b!==this.current.b||ne.a!==this.current.a)&&(this.current=ne,this.gl.uniform4f(this.location,ne.r,ne.g,ne.b,ne.a))},k}(hr),pr=new Float32Array(16),lr=function(C){function k(V,ne){C.call(this,V,ne),this.current=pr}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.set=function(ne){if(ne[12]!==this.current[12]||ne[0]!==this.current[0]){this.current=ne,this.gl.uniformMatrix4fv(this.location,!1,ne);return}for(var xe=1;xe<16;xe++)if(ne[xe]!==this.current[xe]){this.current=ne,this.gl.uniformMatrix4fv(this.location,!1,ne);break}},k}(hr);function Xt(C){return[ve(255*C.r,255*C.g),ve(255*C.b,255*C.a)]}var or=function(k,V,ne){this.value=k,this.uniformNames=V.map(function(xe){return\"u_\"+xe}),this.type=ne};or.prototype.setUniform=function(k,V,ne){k.set(ne.constantOr(this.value))},or.prototype.getBinding=function(k,V,ne){return this.type===\"color\"?new sr(k,V):new Et(k,V)};var qt=function(k,V){this.uniformNames=V.map(function(ne){return\"u_\"+ne}),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};qt.prototype.setConstantPatternPositions=function(k,V){this.pixelRatioFrom=V.pixelRatio,this.pixelRatioTo=k.pixelRatio,this.patternFrom=V.tlbr,this.patternTo=k.tlbr},qt.prototype.setUniform=function(k,V,ne,xe){var Ie=xe===\"u_pattern_to\"?this.patternTo:xe===\"u_pattern_from\"?this.patternFrom:xe===\"u_pixel_ratio_to\"?this.pixelRatioTo:xe===\"u_pixel_ratio_from\"?this.pixelRatioFrom:null;Ie&&k.set(Ie)},qt.prototype.getBinding=function(k,V,ne){return ne.substr(0,9)===\"u_pattern\"?new fr(k,V):new Et(k,V)};var Dr=function(k,V,ne,xe){this.expression=k,this.type=ne,this.maxValue=0,this.paintVertexAttributes=V.map(function(Ie){return{name:\"a_\"+Ie,type:\"Float32\",components:ne===\"color\"?2:1,offset:0}}),this.paintVertexArray=new xe};Dr.prototype.populatePaintArray=function(k,V,ne,xe,Ie){var Ve=this.paintVertexArray.length,ht=this.expression.evaluate(new gn(0),V,{},xe,[],Ie);this.paintVertexArray.resize(k),this._setPaintValue(Ve,k,ht)},Dr.prototype.updatePaintArray=function(k,V,ne,xe){var Ie=this.expression.evaluate({zoom:0},ne,xe);this._setPaintValue(k,V,Ie)},Dr.prototype._setPaintValue=function(k,V,ne){if(this.type===\"color\")for(var xe=Xt(ne),Ie=k;Ie<V;Ie++)this.paintVertexArray.emplace(Ie,xe[0],xe[1]);else{for(var Ve=k;Ve<V;Ve++)this.paintVertexArray.emplace(Ve,ne);this.maxValue=Math.max(this.maxValue,Math.abs(ne))}},Dr.prototype.upload=function(k){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=k.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Dr.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Jr=function(k,V,ne,xe,Ie,Ve){this.expression=k,this.uniformNames=V.map(function(ht){return\"u_\"+ht+\"_t\"}),this.type=ne,this.useIntegerZoom=xe,this.zoom=Ie,this.maxValue=0,this.paintVertexAttributes=V.map(function(ht){return{name:\"a_\"+ht,type:\"Float32\",components:ne===\"color\"?4:2,offset:0}}),this.paintVertexArray=new Ve};Jr.prototype.populatePaintArray=function(k,V,ne,xe,Ie){var Ve=this.expression.evaluate(new gn(this.zoom),V,{},xe,[],Ie),ht=this.expression.evaluate(new gn(this.zoom+1),V,{},xe,[],Ie),Rt=this.paintVertexArray.length;this.paintVertexArray.resize(k),this._setPaintValue(Rt,k,Ve,ht)},Jr.prototype.updatePaintArray=function(k,V,ne,xe){var Ie=this.expression.evaluate({zoom:this.zoom},ne,xe),Ve=this.expression.evaluate({zoom:this.zoom+1},ne,xe);this._setPaintValue(k,V,Ie,Ve)},Jr.prototype._setPaintValue=function(k,V,ne,xe){if(this.type===\"color\")for(var Ie=Xt(ne),Ve=Xt(xe),ht=k;ht<V;ht++)this.paintVertexArray.emplace(ht,Ie[0],Ie[1],Ve[0],Ve[1]);else{for(var Rt=k;Rt<V;Rt++)this.paintVertexArray.emplace(Rt,ne,xe);this.maxValue=Math.max(this.maxValue,Math.abs(ne),Math.abs(xe))}},Jr.prototype.upload=function(k){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=k.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Jr.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Jr.prototype.setUniform=function(k,V){var ne=this.useIntegerZoom?Math.floor(V.zoom):V.zoom,xe=l(this.expression.interpolationFactor(ne,this.zoom,this.zoom+1),0,1);k.set(xe)},Jr.prototype.getBinding=function(k,V,ne){return new Et(k,V)};var ba=function(k,V,ne,xe,Ie,Ve){this.expression=k,this.type=V,this.useIntegerZoom=ne,this.zoom=xe,this.layerId=Ve,this.zoomInPaintVertexArray=new Ie,this.zoomOutPaintVertexArray=new Ie};ba.prototype.populatePaintArray=function(k,V,ne){var xe=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(k),this.zoomOutPaintVertexArray.resize(k),this._setPaintValues(xe,k,V.patterns&&V.patterns[this.layerId],ne)},ba.prototype.updatePaintArray=function(k,V,ne,xe,Ie){this._setPaintValues(k,V,ne.patterns&&ne.patterns[this.layerId],Ie)},ba.prototype._setPaintValues=function(k,V,ne,xe){if(!(!xe||!ne)){var Ie=ne.min,Ve=ne.mid,ht=ne.max,Rt=xe[Ie],Ht=xe[Ve],tr=xe[ht];if(!(!Rt||!Ht||!tr))for(var Cr=k;Cr<V;Cr++)this.zoomInPaintVertexArray.emplace(Cr,Ht.tl[0],Ht.tl[1],Ht.br[0],Ht.br[1],Rt.tl[0],Rt.tl[1],Rt.br[0],Rt.br[1],Ht.pixelRatio,Rt.pixelRatio),this.zoomOutPaintVertexArray.emplace(Cr,Ht.tl[0],Ht.tl[1],Ht.br[0],Ht.br[1],tr.tl[0],tr.tl[1],tr.br[0],tr.br[1],Ht.pixelRatio,tr.pixelRatio)}},ba.prototype.upload=function(k){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=k.createVertexBuffer(this.zoomInPaintVertexArray,Y.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=k.createVertexBuffer(this.zoomOutPaintVertexArray,Y.members,this.expression.isStateDependent))},ba.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var yi=function(k,V,ne){this.binders={},this._buffers=[];var xe=[];for(var Ie in k.paint._values)if(ne(Ie)){var Ve=k.paint.get(Ie);if(!(!(Ve instanceof Il)||!yl(Ve.property.specification))){var ht=si(Ie,k.type),Rt=Ve.value,Ht=Ve.property.specification.type,tr=Ve.property.useIntegerZoom,Cr=Ve.property.specification[\"property-type\"],Xr=Cr===\"cross-faded\"||Cr===\"cross-faded-data-driven\";if(Rt.kind===\"constant\")this.binders[Ie]=Xr?new qt(Rt.value,ht):new or(Rt.value,ht,Ht),xe.push(\"/u_\"+Ie);else if(Rt.kind===\"source\"||Xr){var qr=Bi(Ie,Ht,\"source\");this.binders[Ie]=Xr?new ba(Rt,Ht,tr,V,qr,k.id):new Dr(Rt,ht,Ht,qr),xe.push(\"/a_\"+Ie)}else{var pa=Bi(Ie,Ht,\"composite\");this.binders[Ie]=new Jr(Rt,ht,Ht,tr,V,pa),xe.push(\"/z_\"+Ie)}}}this.cacheKey=xe.sort().join(\"\")};yi.prototype.getMaxValue=function(k){var V=this.binders[k];return V instanceof Dr||V instanceof Jr?V.maxValue:0},yi.prototype.populatePaintArrays=function(k,V,ne,xe,Ie){for(var Ve in this.binders){var ht=this.binders[Ve];(ht instanceof Dr||ht instanceof Jr||ht instanceof ba)&&ht.populatePaintArray(k,V,ne,xe,Ie)}},yi.prototype.setConstantPatternPositions=function(k,V){for(var ne in this.binders){var xe=this.binders[ne];xe instanceof qt&&xe.setConstantPatternPositions(k,V)}},yi.prototype.updatePaintArrays=function(k,V,ne,xe,Ie){var Ve=!1;for(var ht in k)for(var Rt=V.getPositions(ht),Ht=0,tr=Rt;Ht<tr.length;Ht+=1){var Cr=tr[Ht],Xr=ne.feature(Cr.index);for(var qr in this.binders){var pa=this.binders[qr];if((pa instanceof Dr||pa instanceof Jr||pa instanceof ba)&&pa.expression.isStateDependent===!0){var ja=xe.paint.get(qr);pa.expression=ja.value,pa.updatePaintArray(Cr.start,Cr.end,Xr,k[ht],Ie),Ve=!0}}}return Ve},yi.prototype.defines=function(){var k=[];for(var V in this.binders){var ne=this.binders[V];(ne instanceof or||ne instanceof qt)&&k.push.apply(k,ne.uniformNames.map(function(xe){return\"#define HAS_UNIFORM_\"+xe}))}return k},yi.prototype.getBinderAttributes=function(){var k=[];for(var V in this.binders){var ne=this.binders[V];if(ne instanceof Dr||ne instanceof Jr)for(var xe=0;xe<ne.paintVertexAttributes.length;xe++)k.push(ne.paintVertexAttributes[xe].name);else if(ne instanceof ba)for(var Ie=0;Ie<Y.members.length;Ie++)k.push(Y.members[Ie].name)}return k},yi.prototype.getBinderUniforms=function(){var k=[];for(var V in this.binders){var ne=this.binders[V];if(ne instanceof or||ne instanceof qt||ne instanceof Jr)for(var xe=0,Ie=ne.uniformNames;xe<Ie.length;xe+=1){var Ve=Ie[xe];k.push(Ve)}}return k},yi.prototype.getPaintVertexBuffers=function(){return this._buffers},yi.prototype.getUniforms=function(k,V){var ne=[];for(var xe in this.binders){var Ie=this.binders[xe];if(Ie instanceof or||Ie instanceof qt||Ie instanceof Jr)for(var Ve=0,ht=Ie.uniformNames;Ve<ht.length;Ve+=1){var Rt=ht[Ve];if(V[Rt]){var Ht=Ie.getBinding(k,V[Rt],Rt);ne.push({name:Rt,property:xe,binding:Ht})}}}return ne},yi.prototype.setUniforms=function(k,V,ne,xe){for(var Ie=0,Ve=V;Ie<Ve.length;Ie+=1){var ht=Ve[Ie],Rt=ht.name,Ht=ht.property,tr=ht.binding;this.binders[Ht].setUniform(tr,xe,ne.get(Ht),Rt)}},yi.prototype.updatePaintBuffers=function(k){this._buffers=[];for(var V in this.binders){var ne=this.binders[V];if(k&&ne instanceof ba){var xe=k.fromScale===2?ne.zoomInPaintVertexBuffer:ne.zoomOutPaintVertexBuffer;xe&&this._buffers.push(xe)}else(ne instanceof Dr||ne instanceof Jr)&&ne.paintVertexBuffer&&this._buffers.push(ne.paintVertexBuffer)}},yi.prototype.upload=function(k){for(var V in this.binders){var ne=this.binders[V];(ne instanceof Dr||ne instanceof Jr||ne instanceof ba)&&ne.upload(k)}this.updatePaintBuffers()},yi.prototype.destroy=function(){for(var k in this.binders){var V=this.binders[k];(V instanceof Dr||V instanceof Jr||V instanceof ba)&&V.destroy()}};var Xa=function(k,V,ne){ne===void 0&&(ne=function(){return!0}),this.programConfigurations={};for(var xe=0,Ie=k;xe<Ie.length;xe+=1){var Ve=Ie[xe];this.programConfigurations[Ve.id]=new yi(Ve,V,ne)}this.needsUpload=!1,this._featureMap=new $e,this._bufferOffset=0};Xa.prototype.populatePaintArrays=function(k,V,ne,xe,Ie,Ve){for(var ht in this.programConfigurations)this.programConfigurations[ht].populatePaintArrays(k,V,xe,Ie,Ve);V.id!==void 0&&this._featureMap.add(V.id,ne,this._bufferOffset,k),this._bufferOffset=k,this.needsUpload=!0},Xa.prototype.updatePaintArrays=function(k,V,ne,xe){for(var Ie=0,Ve=ne;Ie<Ve.length;Ie+=1){var ht=Ve[Ie];this.needsUpload=this.programConfigurations[ht.id].updatePaintArrays(k,this._featureMap,V,ht,xe)||this.needsUpload}},Xa.prototype.get=function(k){return this.programConfigurations[k]},Xa.prototype.upload=function(k){if(this.needsUpload){for(var V in this.programConfigurations)this.programConfigurations[V].upload(k);this.needsUpload=!1}},Xa.prototype.destroy=function(){for(var k in this.programConfigurations)this.programConfigurations[k].destroy()};function si(C,k){var V={\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]};return V[C]||[C.replace(k+\"-\",\"\").replace(/-/g,\"_\")]}function Ji(C){var k={\"line-pattern\":{source:Ii,composite:Ii},\"fill-pattern\":{source:Ii,composite:Ii},\"fill-extrusion-pattern\":{source:Ii,composite:Ii}};return k[C]}function Bi(C,k,V){var ne={color:{source:ji,composite:Ps},number:{source:Di,composite:ji}},xe=Ji(C);return xe&&xe[V]||ne[k][V]}de(\"ConstantBinder\",or),de(\"CrossFadedConstantBinder\",qt),de(\"SourceExpressionBinder\",Dr),de(\"CrossFadedCompositeBinder\",ba),de(\"CompositeExpressionBinder\",Jr),de(\"ProgramConfiguration\",yi,{omit:[\"_buffers\"]}),de(\"ProgramConfigurationSet\",Xa);var pi=8192,wi=15,Mi=Math.pow(2,wi-1)-1,Vi=-Mi-1;function cn(C){for(var k=pi/C.extent,V=C.loadGeometry(),ne=0;ne<V.length;ne++)for(var xe=V[ne],Ie=0;Ie<xe.length;Ie++){var Ve=xe[Ie],ht=Math.round(Ve.x*k),Rt=Math.round(Ve.y*k);Ve.x=l(ht,Vi,Mi),Ve.y=l(Rt,Vi,Mi),(ht<Ve.x||ht>Ve.x+1||Rt<Ve.y||Rt>Ve.y+1)&&U(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\")}return V}function xo(C,k){return{type:C.type,id:C.id,properties:C.properties,geometry:k?cn(C):[]}}function jo(C,k,V,ne,xe){C.emplaceBack(k*2+(ne+1)/2,V*2+(xe+1)/2)}var ks=function(k){this.zoom=k.zoom,this.overscaling=k.overscaling,this.layers=k.layers,this.layerIds=this.layers.map(function(V){return V.id}),this.index=k.index,this.hasPattern=!1,this.layoutVertexArray=new Ea,this.indexArray=new Ki,this.segments=new Lo,this.programConfigurations=new Xa(k.layers,k.zoom),this.stateDependentLayerIds=this.layers.filter(function(V){return V.isStateDependent()}).map(function(V){return V.id})};ks.prototype.populate=function(k,V,ne){var xe=this.layers[0],Ie=[],Ve=null;xe.type===\"circle\"&&(Ve=xe.layout.get(\"circle-sort-key\"));for(var ht=0,Rt=k;ht<Rt.length;ht+=1){var Ht=Rt[ht],tr=Ht.feature,Cr=Ht.id,Xr=Ht.index,qr=Ht.sourceLayerIndex,pa=this.layers[0]._featureFilter.needGeometry,ja=xo(tr,pa);if(this.layers[0]._featureFilter.filter(new gn(this.zoom),ja,ne)){var Ei=Ve?Ve.evaluate(ja,{},ne):void 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this.layoutVertexArray.length===0},ks.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ks.prototype.upload=function(k){this.uploaded||(this.layoutVertexBuffer=k.createVertexBuffer(this.layoutVertexArray,Cl),this.indexBuffer=k.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(k),this.uploaded=!0},ks.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ks.prototype.addFeature=function(k,V,ne,xe){for(var Ie=0,Ve=V;Ie<Ve.length;Ie+=1)for(var ht=Ve[Ie],Rt=0,Ht=ht;Rt<Ht.length;Rt+=1){var tr=Ht[Rt],Cr=tr.x,Xr=tr.y;if(!(Cr<0||Cr>=pi||Xr<0||Xr>=pi)){var qr=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,k.sortKey),pa=qr.vertexLength;jo(this.layoutVertexArray,Cr,Xr,-1,-1),jo(this.layoutVertexArray,Cr,Xr,1,-1),jo(this.layoutVertexArray,Cr,Xr,1,1),jo(this.layoutVertexArray,Cr,Xr,-1,1),this.indexArray.emplaceBack(pa,pa+1,pa+2),this.indexArray.emplaceBack(pa,pa+3,pa+2),qr.vertexLength+=4,qr.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,k,ne,{},xe)},de(\"CircleBucket\",ks,{omit:[\"layers\"]});function Fo(C,k){for(var V=0;V<C.length;V++)if(Ih(k,C[V]))return!0;for(var ne=0;ne<k.length;ne++)if(Ih(C,k[ne]))return!0;return!!Ep(C,k)}function bs(C,k,V){return!!(Ih(C,k)||qp(k,C,V))}function Hs(C,k){if(C.length===1)return td(k,C[0]);for(var V=0;V<k.length;V++)for(var ne=k[V],xe=0;xe<ne.length;xe++)if(Ih(C,ne[xe]))return!0;for(var Ie=0;Ie<C.length;Ie++)if(td(k,C[Ie]))return!0;for(var Ve=0;Ve<k.length;Ve++)if(Ep(C,k[Ve]))return!0;return!1}function pu(C,k,V){for(var ne=0;ne<k.length;ne++){var xe=k[ne];if(C.length>=3){for(var Ie=0;Ie<xe.length;Ie++)if(Ih(C,xe[Ie]))return!0}if(Mp(C,xe,V))return!0}return!1}function Mp(C,k,V){if(C.length>1){if(Ep(C,k))return!0;for(var ne=0;ne<k.length;ne++)if(qp(k[ne],C,V))return!0}for(var xe=0;xe<C.length;xe++)if(qp(C[xe],k,V))return!0;return!1}function Ep(C,k){if(C.length===0||k.length===0)return!1;for(var V=0;V<C.length-1;V++)for(var ne=C[V],xe=C[V+1],Ie=0;Ie<k.length-1;Ie++){var Ve=k[Ie],ht=k[Ie+1];if(Ph(ne,xe,Ve,ht))return!0}return!1}function Ph(C,k,V,ne){return W(C,V,ne)!==W(k,V,ne)&&W(C,k,V)!==W(C,k,ne)}function qp(C,k,V){var ne=V*V;if(k.length===1)return C.distSqr(k[0])<ne;for(var xe=1;xe<k.length;xe++){var Ie=k[xe-1],Ve=k[xe];if(qd(C,Ie,Ve)<ne)return!0}return!1}function qd(C,k,V){var ne=k.distSqr(V);if(ne===0)return C.distSqr(k);var xe=((C.x-k.x)*(V.x-k.x)+(C.y-k.y)*(V.y-k.y))/ne;return xe<0?C.distSqr(k):xe>1?C.distSqr(V):C.distSqr(V.sub(k)._mult(xe)._add(k))}function td(C,k){for(var V=!1,ne,xe,Ie,Ve=0;Ve<C.length;Ve++){ne=C[Ve];for(var ht=0,Rt=ne.length-1;ht<ne.length;Rt=ht++)xe=ne[ht],Ie=ne[Rt],xe.y>k.y!=Ie.y>k.y&&k.x<(Ie.x-xe.x)*(k.y-xe.y)/(Ie.y-xe.y)+xe.x&&(V=!V)}return V}function Ih(C,k){for(var V=!1,ne=0,xe=C.length-1;ne<C.length;xe=ne++){var Ie=C[ne],Ve=C[xe];Ie.y>k.y!=Ve.y>k.y&&k.x<(Ve.x-Ie.x)*(k.y-Ie.y)/(Ve.y-Ie.y)+Ie.x&&(V=!V)}return V}function rd(C,k,V,ne,xe){for(var Ie=0,Ve=C;Ie<Ve.length;Ie+=1){var ht=Ve[Ie];if(k<=ht.x&&V<=ht.y&&ne>=ht.x&&xe>=ht.y)return!0}var Rt=[new i(k,V),new i(k,xe),new i(ne,xe),new i(ne,V)];if(C.length>2)for(var Ht=0,tr=Rt;Ht<tr.length;Ht+=1){var Cr=tr[Ht];if(Ih(C,Cr))return!0}for(var Xr=0;Xr<C.length-1;Xr++){var qr=C[Xr],pa=C[Xr+1];if(Kh(qr,pa,Rt))return!0}return!1}function Kh(C,k,V){var ne=V[0],xe=V[2];if(C.x<ne.x&&k.x<ne.x||C.x>xe.x&&k.x>xe.x||C.y<ne.y&&k.y<ne.y||C.y>xe.y&&k.y>xe.y)return!1;var Ie=W(C,k,V[0]);return Ie!==W(C,k,V[1])||Ie!==W(C,k,V[2])||Ie!==W(C,k,V[3])}function Rh(C,k,V){var ne=k.paint.get(C).value;return ne.kind===\"constant\"?ne.value:V.programConfigurations.get(k.id).getMaxValue(C)}function Cp(C){return Math.sqrt(C[0]*C[0]+C[1]*C[1])}function Vp(C,k,V,ne,xe){if(!k[0]&&!k[1])return C;var Ie=i.convert(k)._mult(xe);V===\"viewport\"&&Ie._rotate(-ne);for(var Ve=[],ht=0;ht<C.length;ht++){var Rt=C[ht];Ve.push(Rt.sub(Ie))}return Ve}var kp=new xa({\"circle-sort-key\":new Yt(Ui.layout_circle[\"circle-sort-key\"])}),kv=new xa({\"circle-radius\":new Yt(Ui.paint_circle[\"circle-radius\"]),\"circle-color\":new Yt(Ui.paint_circle[\"circle-color\"]),\"circle-blur\":new Yt(Ui.paint_circle[\"circle-blur\"]),\"circle-opacity\":new Yt(Ui.paint_circle[\"circle-opacity\"]),\"circle-translate\":new nt(Ui.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new nt(Ui.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new nt(Ui.paint_circle[\"circle-pitch-scale\"]),\"circle-pitch-alignment\":new nt(Ui.paint_circle[\"circle-pitch-alignment\"]),\"circle-stroke-width\":new 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qf!=Float32Array&&(C[1]=0,C[2]=0,C[3]=0,C[4]=0,C[6]=0,C[7]=0,C[8]=0,C[9]=0,C[11]=0,C[12]=0,C[13]=0,C[14]=0),C[0]=1,C[5]=1,C[10]=1,C[15]=1,C}function nm(C){var k=new qf(16);return k[0]=C[0],k[1]=C[1],k[2]=C[2],k[3]=C[3],k[4]=C[4],k[5]=C[5],k[6]=C[6],k[7]=C[7],k[8]=C[8],k[9]=C[9],k[10]=C[10],k[11]=C[11],k[12]=C[12],k[13]=C[13],k[14]=C[14],k[15]=C[15],k}function Pv(C){return C[0]=1,C[1]=0,C[2]=0,C[3]=0,C[4]=0,C[5]=1,C[6]=0,C[7]=0,C[8]=0,C[9]=0,C[10]=1,C[11]=0,C[12]=0,C[13]=0,C[14]=0,C[15]=1,C}function nv(C,k){var V=k[0],ne=k[1],xe=k[2],Ie=k[3],Ve=k[4],ht=k[5],Rt=k[6],Ht=k[7],tr=k[8],Cr=k[9],Xr=k[10],qr=k[11],pa=k[12],ja=k[13],Ei=k[14],li=k[15],en=V*ht-ne*Ve,Ni=V*Rt-xe*Ve,Qi=V*Ht-Ie*Ve,ln=ne*Rt-xe*ht,xn=ne*Ht-Ie*ht,qn=xe*Ht-Ie*Rt,Nn=tr*ja-Cr*pa,Mo=tr*Ei-Xr*pa,no=tr*li-qr*pa,yo=Cr*Ei-Xr*ja,Ms=Cr*li-qr*ja,Eo=Xr*li-qr*Ei,Ro=en*Eo-Ni*Ms+Qi*yo+ln*no-xn*Mo+qn*Nn;return Ro?(Ro=1/Ro,C[0]=(ht*Eo-Rt*Ms+Ht*yo)*Ro,C[1]=(xe*Ms-ne*Eo-Ie*yo)*Ro,C[2]=(ja*qn-Ei*xn+li*ln)*Ro,C[3]=(Xr*xn-Cr*qn-qr*ln)*Ro,C[4]=(Rt*no-Ve*Eo-Ht*Mo)*Ro,C[5]=(V*Eo-xe*no+Ie*Mo)*Ro,C[6]=(Ei*Qi-pa*qn-li*Ni)*Ro,C[7]=(tr*qn-Xr*Qi+qr*Ni)*Ro,C[8]=(Ve*Ms-ht*no+Ht*Nn)*Ro,C[9]=(ne*no-V*Ms-Ie*Nn)*Ro,C[10]=(pa*xn-ja*Qi+li*en)*Ro,C[11]=(Cr*Qi-tr*xn-qr*en)*Ro,C[12]=(ht*Mo-Ve*yo-Rt*Nn)*Ro,C[13]=(V*yo-ne*Mo+xe*Nn)*Ro,C[14]=(ja*Ni-pa*ln-Ei*en)*Ro,C[15]=(tr*ln-Cr*Ni+Xr*en)*Ro,C):null}function ov(C,k,V){var ne=k[0],xe=k[1],Ie=k[2],Ve=k[3],ht=k[4],Rt=k[5],Ht=k[6],tr=k[7],Cr=k[8],Xr=k[9],qr=k[10],pa=k[11],ja=k[12],Ei=k[13],li=k[14],en=k[15],Ni=V[0],Qi=V[1],ln=V[2],xn=V[3];return C[0]=Ni*ne+Qi*ht+ln*Cr+xn*ja,C[1]=Ni*xe+Qi*Rt+ln*Xr+xn*Ei,C[2]=Ni*Ie+Qi*Ht+ln*qr+xn*li,C[3]=Ni*Ve+Qi*tr+ln*pa+xn*en,Ni=V[4],Qi=V[5],ln=V[6],xn=V[7],C[4]=Ni*ne+Qi*ht+ln*Cr+xn*ja,C[5]=Ni*xe+Qi*Rt+ln*Xr+xn*Ei,C[6]=Ni*Ie+Qi*Ht+ln*qr+xn*li,C[7]=Ni*Ve+Qi*tr+ln*pa+xn*en,Ni=V[8],Qi=V[9],ln=V[10],xn=V[11],C[8]=Ni*ne+Qi*ht+ln*Cr+xn*ja,C[9]=Ni*xe+Qi*Rt+ln*Xr+xn*Ei,C[10]=Ni*Ie+Qi*Ht+ln*qr+xn*li,C[11]=Ni*Ve+Qi*tr+ln*pa+xn*en,Ni=V[12],Qi=V[13],ln=V[14],xn=V[15],C[12]=Ni*ne+Qi*ht+ln*Cr+xn*ja,C[13]=Ni*xe+Qi*Rt+ln*Xr+xn*Ei,C[14]=Ni*Ie+Qi*Ht+ln*qr+xn*li,C[15]=Ni*Ve+Qi*tr+ln*pa+xn*en,C}function cc(C,k,V){var ne=V[0],xe=V[1],Ie=V[2],Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa,ja,Ei,li;return k===C?(C[12]=k[0]*ne+k[4]*xe+k[8]*Ie+k[12],C[13]=k[1]*ne+k[5]*xe+k[9]*Ie+k[13],C[14]=k[2]*ne+k[6]*xe+k[10]*Ie+k[14],C[15]=k[3]*ne+k[7]*xe+k[11]*Ie+k[15]):(Ve=k[0],ht=k[1],Rt=k[2],Ht=k[3],tr=k[4],Cr=k[5],Xr=k[6],qr=k[7],pa=k[8],ja=k[9],Ei=k[10],li=k[11],C[0]=Ve,C[1]=ht,C[2]=Rt,C[3]=Ht,C[4]=tr,C[5]=Cr,C[6]=Xr,C[7]=qr,C[8]=pa,C[9]=ja,C[10]=Ei,C[11]=li,C[12]=Ve*ne+tr*xe+pa*Ie+k[12],C[13]=ht*ne+Cr*xe+ja*Ie+k[13],C[14]=Rt*ne+Xr*xe+Ei*Ie+k[14],C[15]=Ht*ne+qr*xe+li*Ie+k[15]),C}function lu(C,k,V){var ne=V[0],xe=V[1],Ie=V[2];return C[0]=k[0]*ne,C[1]=k[1]*ne,C[2]=k[2]*ne,C[3]=k[3]*ne,C[4]=k[4]*xe,C[5]=k[5]*xe,C[6]=k[6]*xe,C[7]=k[7]*xe,C[8]=k[8]*Ie,C[9]=k[9]*Ie,C[10]=k[10]*Ie,C[11]=k[11]*Ie,C[12]=k[12],C[13]=k[13],C[14]=k[14],C[15]=k[15],C}function Dh(C,k,V){var ne=Math.sin(V),xe=Math.cos(V),Ie=k[4],Ve=k[5],ht=k[6],Rt=k[7],Ht=k[8],tr=k[9],Cr=k[10],Xr=k[11];return k!==C&&(C[0]=k[0],C[1]=k[1],C[2]=k[2],C[3]=k[3],C[12]=k[12],C[13]=k[13],C[14]=k[14],C[15]=k[15]),C[4]=Ie*xe+Ht*ne,C[5]=Ve*xe+tr*ne,C[6]=ht*xe+Cr*ne,C[7]=Rt*xe+Xr*ne,C[8]=Ht*xe-Ie*ne,C[9]=tr*xe-Ve*ne,C[10]=Cr*xe-ht*ne,C[11]=Xr*xe-Rt*ne,C}function Iv(C,k,V){var ne=Math.sin(V),xe=Math.cos(V),Ie=k[0],Ve=k[1],ht=k[2],Rt=k[3],Ht=k[4],tr=k[5],Cr=k[6],Xr=k[7];return k!==C&&(C[8]=k[8],C[9]=k[9],C[10]=k[10],C[11]=k[11],C[12]=k[12],C[13]=k[13],C[14]=k[14],C[15]=k[15]),C[0]=Ie*xe+Ht*ne,C[1]=Ve*xe+tr*ne,C[2]=ht*xe+Cr*ne,C[3]=Rt*xe+Xr*ne,C[4]=Ht*xe-Ie*ne,C[5]=tr*xe-Ve*ne,C[6]=Cr*xe-ht*ne,C[7]=Xr*xe-Rt*ne,C}function om(C,k,V,ne,xe){var Ie=1/Math.tan(k/2),Ve;return C[0]=Ie/V,C[1]=0,C[2]=0,C[3]=0,C[4]=0,C[5]=Ie,C[6]=0,C[7]=0,C[8]=0,C[9]=0,C[11]=-1,C[12]=0,C[13]=0,C[15]=0,xe!=null&&xe!==1/0?(Ve=1/(ne-xe),C[10]=(xe+ne)*Ve,C[14]=2*xe*ne*Ve):(C[10]=-1,C[14]=-2*ne),C}function Au(C,k,V,ne,xe,Ie,Ve){var ht=1/(k-V),Rt=1/(ne-xe),Ht=1/(Ie-Ve);return C[0]=-2*ht,C[1]=0,C[2]=0,C[3]=0,C[4]=0,C[5]=-2*Rt,C[6]=0,C[7]=0,C[8]=0,C[9]=0,C[10]=2*Ht,C[11]=0,C[12]=(k+V)*ht,C[13]=(xe+ne)*Rt,C[14]=(Ve+Ie)*Ht,C[15]=1,C}var x0=ov;function sv(){var C=new qf(3);return qf!=Float32Array&&(C[0]=0,C[1]=0,C[2]=0),C}function _g(C){var k=new qf(3);return k[0]=C[0],k[1]=C[1],k[2]=C[2],k}function Lp(C,k,V){return C[0]=k[0]+V[0],C[1]=k[1]+V[1],C[2]=k[2]+V[2],C}function lv(C,k,V){return C[0]=k[0]-V[0],C[1]=k[1]-V[1],C[2]=k[2]-V[2],C}function xg(C,k,V){return C[0]=k[0]*V,C[1]=k[1]*V,C[2]=k[2]*V,C}function b0(C,k){var V=k[0],ne=k[1],xe=k[2],Ie=V*V+ne*ne+xe*xe;return Ie>0&&(Ie=1/Math.sqrt(Ie)),C[0]=k[0]*Ie,C[1]=k[1]*Ie,C[2]=k[2]*Ie,C}function UT(C,k){return C[0]*k[0]+C[1]*k[1]+C[2]*k[2]}function jT(C,k,V){var ne=k[0],xe=k[1],Ie=k[2],Ve=V[0],ht=V[1],Rt=V[2];return C[0]=xe*Rt-Ie*ht,C[1]=Ie*Ve-ne*Rt,C[2]=ne*ht-xe*Ve,C}function qT(C,k,V){var ne=k[0],xe=k[1],Ie=k[2];return C[0]=ne*V[0]+xe*V[3]+Ie*V[6],C[1]=ne*V[1]+xe*V[4]+Ie*V[7],C[2]=ne*V[2]+xe*V[5]+Ie*V[8],C}var 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k,V,ne,xe,Ie,Ve,ht,Rt,Ht=1;do{for(V=C,C=null,Ie=null,Ve=0;V;){for(Ve++,ne=V,ht=0,k=0;k<Ht&&(ht++,ne=ne.nextZ,!!ne);k++);for(Rt=Ht;ht>0||Rt>0&&ne;)ht!==0&&(Rt===0||!ne||V.z<=ne.z)?(xe=V,V=V.nextZ,ht--):(xe=ne,ne=ne.nextZ,Rt--),Ie?Ie.nextZ=xe:C=xe,xe.prevZ=Ie,Ie=xe;V=ne}Ie.nextZ=null,Ht*=2}while(Ve>1);return C}function F1(C,k,V,ne,xe){return C=32767*(C-V)*xe,k=32767*(k-ne)*xe,C=(C|C<<8)&16711935,C=(C|C<<4)&252645135,C=(C|C<<2)&858993459,C=(C|C<<1)&1431655765,k=(k|k<<8)&16711935,k=(k|k<<4)&252645135,k=(k|k<<2)&858993459,k=(k|k<<1)&1431655765,C|k<<1}function O1(C){var k=C,V=C;do(k.x<V.x||k.x===V.x&&k.y<V.y)&&(V=k),k=k.next;while(k!==C);return V}function fv(C,k,V,ne,xe,Ie,Ve,ht){return(xe-Ve)*(k-ht)-(C-Ve)*(Ie-ht)>=0&&(C-Ve)*(ne-ht)-(V-Ve)*(k-ht)>=0&&(V-Ve)*(Ie-ht)-(xe-Ve)*(ne-ht)>=0}function um(C,k){return C.next.i!==k.i&&C.prev.i!==k.i&&!Bx(C,k)&&(k0(C,k)&&k0(k,C)&&QT(C,k)&&(lf(C.prev,C,k.prev)||lf(C,k.prev,k))||E0(C,k)&&lf(C.prev,C,C.next)>0&&lf(k.prev,k,k.next)>0)}function lf(C,k,V){return(k.y-C.y)*(V.x-k.x)-(k.x-C.x)*(V.y-k.y)}function E0(C,k){return C.x===k.x&&C.y===k.y}function Eg(C,k,V,ne){var xe=Dv(lf(C,k,V)),Ie=Dv(lf(C,k,ne)),Ve=Dv(lf(V,ne,C)),ht=Dv(lf(V,ne,k));return!!(xe!==Ie&&Ve!==ht||xe===0&&C0(C,V,k)||Ie===0&&C0(C,ne,k)||Ve===0&&C0(V,C,ne)||ht===0&&C0(V,k,ne))}function C0(C,k,V){return k.x<=Math.max(C.x,V.x)&&k.x>=Math.min(C.x,V.x)&&k.y<=Math.max(C.y,V.y)&&k.y>=Math.min(C.y,V.y)}function Dv(C){return C>0?1:C<0?-1:0}function Bx(C,k){var V=C;do{if(V.i!==C.i&&V.next.i!==C.i&&V.i!==k.i&&V.next.i!==k.i&&Eg(V,V.next,C,k))return!0;V=V.next}while(V!==C);return!1}function k0(C,k){return lf(C.prev,C,C.next)<0?lf(C,k,C.next)>=0&&lf(C,C.prev,k)>=0:lf(C,k,C.prev)<0||lf(C,C.next,k)<0}function QT(C,k){var V=C,ne=!1,xe=(C.x+k.x)/2,Ie=(C.y+k.y)/2;do V.y>Ie!=V.next.y>Ie&&V.next.y!==V.y&&xe<(V.next.x-V.x)*(Ie-V.y)/(V.next.y-V.y)+V.x&&(ne=!ne),V=V.next;while(V!==C);return ne}function B1(C,k){var V=new N1(C.i,C.x,C.y),ne=new 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xe=0,Ie=k,Ve=V-ne;Ie<V;Ie+=ne)xe+=(C[Ve]-C[Ie])*(C[Ie+1]+C[Ve+1]),Ve=Ie;return xe}lm.flatten=function(C){for(var k=C[0][0].length,V={vertices:[],holes:[],dimensions:k},ne=0,xe=0;xe<C.length;xe++){for(var Ie=0;Ie<C[xe].length;Ie++)for(var Ve=0;Ve<k;Ve++)V.vertices.push(C[xe][Ie][Ve]);xe>0&&(ne+=C[xe-1].length,V.holes.push(ne))}return V},Ag.default=Dx;function j1(C,k,V,ne,xe){Hd(C,k,V||0,ne||C.length-1,xe||Ux)}function Hd(C,k,V,ne,xe){for(;ne>V;){if(ne-V>600){var Ie=ne-V+1,Ve=k-V+1,ht=Math.log(Ie),Rt=.5*Math.exp(2*ht/3),Ht=.5*Math.sqrt(ht*Rt*(Ie-Rt)/Ie)*(Ve-Ie/2<0?-1:1),tr=Math.max(V,Math.floor(k-Ve*Rt/Ie+Ht)),Cr=Math.min(ne,Math.floor(k+(Ie-Ve)*Rt/Ie+Ht));Hd(C,k,tr,Cr,xe)}var Xr=C[k],qr=V,pa=ne;for(cm(C,V,k),xe(C[ne],Xr)>0&&cm(C,V,ne);qr<pa;){for(cm(C,qr,pa),qr++,pa--;xe(C[qr],Xr)<0;)qr++;for(;xe(C[pa],Xr)>0;)pa--}xe(C[V],Xr)===0?cm(C,V,pa):(pa++,cm(C,pa,ne)),pa<=k&&(V=pa+1),k<=pa&&(ne=pa-1)}}function cm(C,k,V){var ne=C[k];C[k]=C[V],C[V]=ne}function Ux(C,k){return C<k?-1:C>k?1:0}function Cg(C,k){var V=C.length;if(V<=1)return[C];for(var ne=[],xe,Ie,Ve=0;Ve<V;Ve++){var ht=Q(C[Ve]);ht!==0&&(C[Ve].area=Math.abs(ht),Ie===void 0&&(Ie=ht<0),Ie===ht<0?(xe&&ne.push(xe),xe=[C[Ve]]):xe.push(C[Ve]))}if(xe&&ne.push(xe),k>1)for(var Rt=0;Rt<ne.length;Rt++)ne[Rt].length<=k||(j1(ne[Rt],k,1,ne[Rt].length-1,jx),ne[Rt]=ne[Rt].slice(0,k));return ne}function jx(C,k){return k.area-C.area}function kg(C,k,V){for(var ne=V.patternDependencies,xe=!1,Ie=0,Ve=k;Ie<Ve.length;Ie+=1){var ht=Ve[Ie],Rt=ht.paint.get(C+\"-pattern\");Rt.isConstant()||(xe=!0);var Ht=Rt.constantOr(null);Ht&&(xe=!0,ne[Ht.to]=!0,ne[Ht.from]=!0)}return xe}function P0(C,k,V,ne,xe){for(var Ie=xe.patternDependencies,Ve=0,ht=k;Ve<ht.length;Ve+=1){var Rt=ht[Ve],Ht=Rt.paint.get(C+\"-pattern\"),tr=Ht.value;if(tr.kind!==\"constant\"){var Cr=tr.evaluate({zoom:ne-1},V,{},xe.availableImages),Xr=tr.evaluate({zoom:ne},V,{},xe.availableImages),qr=tr.evaluate({zoom:ne+1},V,{},xe.availableImages);Cr=Cr&&Cr.name?Cr.name:Cr,Xr=Xr&&Xr.name?Xr.name:Xr,qr=qr&&qr.name?qr.name:qr,Ie[Cr]=!0,Ie[Xr]=!0,Ie[qr]=!0,V.patterns[Rt.id]={min:Cr,mid:Xr,max:qr}}}return V}var I0=500,ad=function(k){this.zoom=k.zoom,this.overscaling=k.overscaling,this.layers=k.layers,this.layerIds=this.layers.map(function(V){return V.id}),this.index=k.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Ea,this.indexArray=new Ki,this.indexArray2=new Rn,this.programConfigurations=new Xa(k.layers,k.zoom),this.segments=new Lo,this.segments2=new Lo,this.stateDependentLayerIds=this.layers.filter(function(V){return V.isStateDependent()}).map(function(V){return V.id})};ad.prototype.populate=function(k,V,ne){this.hasPattern=kg(\"fill\",this.layers,V);for(var xe=this.layers[0].layout.get(\"fill-sort-key\"),Ie=[],Ve=0,ht=k;Ve<ht.length;Ve+=1){var Rt=ht[Ve],Ht=Rt.feature,tr=Rt.id,Cr=Rt.index,Xr=Rt.sourceLayerIndex,qr=this.layers[0]._featureFilter.needGeometry,pa=xo(Ht,qr);if(this.layers[0]._featureFilter.filter(new gn(this.zoom),pa,ne)){var ja=xe?xe.evaluate(pa,{},ne,V.availableImages):void 0,Ei={id:tr,properties:Ht.properties,type:Ht.type,sourceLayerIndex:Xr,index:Cr,geometry:qr?pa.geometry:cn(Ht),patterns:{},sortKey:ja};Ie.push(Ei)}}xe&&Ie.sort(function(no,yo){return no.sortKey-yo.sortKey});for(var li=0,en=Ie;li<en.length;li+=1){var Ni=en[li],Qi=Ni,ln=Qi.geometry,xn=Qi.index,qn=Qi.sourceLayerIndex;if(this.hasPattern){var Nn=P0(\"fill\",this.layers,Ni,this.zoom,V);this.patternFeatures.push(Nn)}else this.addFeature(Ni,ln,xn,ne,{});var Mo=k[xn].feature;V.featureIndex.insert(Mo,ln,xn,qn,this.index)}},ad.prototype.update=function(k,V,ne){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(k,V,this.stateDependentLayers,ne)},ad.prototype.addFeatures=function(k,V,ne){for(var xe=0,Ie=this.patternFeatures;xe<Ie.length;xe+=1){var Ve=Ie[xe];this.addFeature(Ve,Ve.geometry,Ve.index,V,ne)}},ad.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},ad.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ad.prototype.upload=function(k){this.uploaded||(this.layoutVertexBuffer=k.createVertexBuffer(this.layoutVertexArray,KT),this.indexBuffer=k.createIndexBuffer(this.indexArray),this.indexBuffer2=k.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(k),this.uploaded=!0},ad.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())},ad.prototype.addFeature=function(k,V,ne,xe,Ie){for(var Ve=0,ht=Cg(V,I0);Ve<ht.length;Ve+=1){for(var Rt=ht[Ve],Ht=0,tr=0,Cr=Rt;tr<Cr.length;tr+=1){var Xr=Cr[tr];Ht+=Xr.length}for(var qr=this.segments.prepareSegment(Ht,this.layoutVertexArray,this.indexArray),pa=qr.vertexLength,ja=[],Ei=[],li=0,en=Rt;li<en.length;li+=1){var Ni=en[li];if(Ni.length!==0){Ni!==Rt[0]&&Ei.push(ja.length/2);var Qi=this.segments2.prepareSegment(Ni.length,this.layoutVertexArray,this.indexArray2),ln=Qi.vertexLength;this.layoutVertexArray.emplaceBack(Ni[0].x,Ni[0].y),this.indexArray2.emplaceBack(ln+Ni.length-1,ln),ja.push(Ni[0].x),ja.push(Ni[0].y);for(var xn=1;xn<Ni.length;xn++)this.layoutVertexArray.emplaceBack(Ni[xn].x,Ni[xn].y),this.indexArray2.emplaceBack(ln+xn-1,ln+xn),ja.push(Ni[xn].x),ja.push(Ni[xn].y);Qi.vertexLength+=Ni.length,Qi.primitiveLength+=Ni.length}}for(var qn=Ag(ja,Ei),Nn=0;Nn<qn.length;Nn+=3)this.indexArray.emplaceBack(pa+qn[Nn],pa+qn[Nn+1],pa+qn[Nn+2]);qr.vertexLength+=Ht,qr.primitiveLength+=qn.length/3}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,k,ne,Ie,xe)},de(\"FillBucket\",ad,{omit:[\"layers\",\"patternFeatures\"]});var q1=new xa({\"fill-sort-key\":new Yt(Ui.layout_fill[\"fill-sort-key\"])}),qx=new xa({\"fill-antialias\":new nt(Ui.paint_fill[\"fill-antialias\"]),\"fill-opacity\":new Yt(Ui.paint_fill[\"fill-opacity\"]),\"fill-color\":new Yt(Ui.paint_fill[\"fill-color\"]),\"fill-outline-color\":new Yt(Ui.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new nt(Ui.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new nt(Ui.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new cr(Ui.paint_fill[\"fill-pattern\"])}),Gp={paint:qx,layout:q1},R0=function(C){function k(V){C.call(this,V,Gp)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.recalculate=function(ne,xe){C.prototype.recalculate.call(this,ne,xe);var Ie=this.paint._values[\"fill-outline-color\"];Ie.value.kind===\"constant\"&&Ie.value.value===void 0&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])},k.prototype.createBucket=function(ne){return new ad(ne)},k.prototype.queryRadius=function(){return Cp(this.paint.get(\"fill-translate\"))},k.prototype.queryIntersectsFeature=function(ne,xe,Ie,Ve,ht,Rt,Ht){var tr=Vp(ne,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),Rt.angle,Ht);return Hs(tr,Ve)},k.prototype.isTileClipped=function(){return!0},k}(Ja),Vx=ki([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),Gx=Vx.members,V1=zv;function zv(C,k,V,ne,xe){this.properties={},this.extent=V,this.type=0,this._pbf=C,this._geometry=-1,this._keys=ne,this._values=xe,C.readFields(Hx,this,k)}function Hx(C,k,V){C==1?k.id=V.readVarint():C==2?Wx(V,k):C==3?k.type=V.readVarint():C==4&&(k._geometry=V.pos)}function Wx(C,k){for(var V=C.readVarint()+C.pos;C.pos<V;){var ne=k._keys[C.readVarint()],xe=k._values[C.readVarint()];k.properties[ne]=xe}}zv.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],zv.prototype.loadGeometry=function(){var C=this._pbf;C.pos=this._geometry;for(var k=C.readVarint()+C.pos,V=1,ne=0,xe=0,Ie=0,Ve=[],ht;C.pos<k;){if(ne<=0){var Rt=C.readVarint();V=Rt&7,ne=Rt>>3}if(ne--,V===1||V===2)xe+=C.readSVarint(),Ie+=C.readSVarint(),V===1&&(ht&&Ve.push(ht),ht=[]),ht.push(new i(xe,Ie));else if(V===7)ht&&ht.push(ht[0].clone());else throw new Error(\"unknown command \"+V)}return ht&&Ve.push(ht),Ve},zv.prototype.bbox=function(){var C=this._pbf;C.pos=this._geometry;for(var k=C.readVarint()+C.pos,V=1,ne=0,xe=0,Ie=0,Ve=1/0,ht=-1/0,Rt=1/0,Ht=-1/0;C.pos<k;){if(ne<=0){var tr=C.readVarint();V=tr&7,ne=tr>>3}if(ne--,V===1||V===2)xe+=C.readSVarint(),Ie+=C.readSVarint(),xe<Ve&&(Ve=xe),xe>ht&&(ht=xe),Ie<Rt&&(Rt=Ie),Ie>Ht&&(Ht=Ie);else if(V!==7)throw new Error(\"unknown command \"+V)}return[Ve,Rt,ht,Ht]},zv.prototype.toGeoJSON=function(C,k,V){var ne=this.extent*Math.pow(2,V),xe=this.extent*C,Ie=this.extent*k,Ve=this.loadGeometry(),ht=zv.types[this.type],Rt,Ht;function tr(qr){for(var pa=0;pa<qr.length;pa++){var ja=qr[pa],Ei=180-(ja.y+Ie)*360/ne;qr[pa]=[(ja.x+xe)*360/ne-180,360/Math.PI*Math.atan(Math.exp(Ei*Math.PI/180))-90]}}switch(this.type){case 1:var Cr=[];for(Rt=0;Rt<Ve.length;Rt++)Cr[Rt]=Ve[Rt][0];Ve=Cr,tr(Ve);break;case 2:for(Rt=0;Rt<Ve.length;Rt++)tr(Ve[Rt]);break;case 3:for(Ve=eA(Ve),Rt=0;Rt<Ve.length;Rt++)for(Ht=0;Ht<Ve[Rt].length;Ht++)tr(Ve[Rt][Ht]);break}Ve.length===1?Ve=Ve[0]:ht=\"Multi\"+ht;var Xr={type:\"Feature\",geometry:{type:ht,coordinates:Ve},properties:this.properties};return\"id\"in this&&(Xr.id=this.id),Xr};function eA(C){var k=C.length;if(k<=1)return[C];for(var V=[],ne,xe,Ie=0;Ie<k;Ie++){var Ve=Xx(C[Ie]);Ve!==0&&(xe===void 0&&(xe=Ve<0),xe===Ve<0?(ne&&V.push(ne),ne=[C[Ie]]):ne.push(C[Ie]))}return ne&&V.push(ne),V}function Xx(C){for(var k=0,V=0,ne=C.length,xe=ne-1,Ie,Ve;V<ne;xe=V++)Ie=C[V],Ve=C[xe],k+=(Ve.x-Ie.x)*(Ie.y+Ve.y);return k}var Wd=G1;function G1(C,k){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=C,this._keys=[],this._values=[],this._features=[],C.readFields(Zx,this,k),this.length=this._features.length}function Zx(C,k,V){C===15?k.version=V.readVarint():C===1?k.name=V.readString():C===5?k.extent=V.readVarint():C===2?k._features.push(V.pos):C===3?k._keys.push(V.readString()):C===4&&k._values.push(Yx(V))}function Yx(C){for(var k=null,V=C.readVarint()+C.pos;C.pos<V;){var ne=C.readVarint()>>3;k=ne===1?C.readString():ne===2?C.readFloat():ne===3?C.readDouble():ne===4?C.readVarint64():ne===5?C.readVarint():ne===6?C.readSVarint():ne===7?C.readBoolean():null}return k}G1.prototype.feature=function(C){if(C<0||C>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[C];var k=this._pbf.readVarint()+this._pbf.pos;return new V1(this._pbf,k,this.extent,this._keys,this._values)};var Kx=tA;function tA(C,k){this.layers=C.readFields(rA,{},k)}function rA(C,k,V){if(C===3){var ne=new Wd(V,V.readVarint()+V.pos);ne.length&&(k[ne.name]=ne)}}var Jx=Kx,fm=V1,$x=Wd,Xd={VectorTile:Jx,VectorTileFeature:fm,VectorTileLayer:$x},Qx=Xd.VectorTileFeature.types,Lg=500,hm=Math.pow(2,13);function hv(C,k,V,ne,xe,Ie,Ve,ht){C.emplaceBack(k,V,Math.floor(ne*hm)*2+Ve,xe*hm*2,Ie*hm*2,Math.round(ht))}var fd=function(k){this.zoom=k.zoom,this.overscaling=k.overscaling,this.layers=k.layers,this.layerIds=this.layers.map(function(V){return V.id}),this.index=k.index,this.hasPattern=!1,this.layoutVertexArray=new gi,this.indexArray=new Ki,this.programConfigurations=new Xa(k.layers,k.zoom),this.segments=new Lo,this.stateDependentLayerIds=this.layers.filter(function(V){return V.isStateDependent()}).map(function(V){return V.id})};fd.prototype.populate=function(k,V,ne){this.features=[],this.hasPattern=kg(\"fill-extrusion\",this.layers,V);for(var xe=0,Ie=k;xe<Ie.length;xe+=1){var Ve=Ie[xe],ht=Ve.feature,Rt=Ve.id,Ht=Ve.index,tr=Ve.sourceLayerIndex,Cr=this.layers[0]._featureFilter.needGeometry,Xr=xo(ht,Cr);if(this.layers[0]._featureFilter.filter(new gn(this.zoom),Xr,ne)){var qr={id:Rt,sourceLayerIndex:tr,index:Ht,geometry:Cr?Xr.geometry:cn(ht),properties:ht.properties,type:ht.type,patterns:{}};this.hasPattern?this.features.push(P0(\"fill-extrusion\",this.layers,qr,this.zoom,V)):this.addFeature(qr,qr.geometry,Ht,ne,{}),V.featureIndex.insert(ht,qr.geometry,Ht,tr,this.index,!0)}}},fd.prototype.addFeatures=function(k,V,ne){for(var xe=0,Ie=this.features;xe<Ie.length;xe+=1){var Ve=Ie[xe],ht=Ve.geometry;this.addFeature(Ve,ht,Ve.index,V,ne)}},fd.prototype.update=function(k,V,ne){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(k,V,this.stateDependentLayers,ne)},fd.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},fd.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},fd.prototype.upload=function(k){this.uploaded||(this.layoutVertexBuffer=k.createVertexBuffer(this.layoutVertexArray,Gx),this.indexBuffer=k.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(k),this.uploaded=!0},fd.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},fd.prototype.addFeature=function(k,V,ne,xe,Ie){for(var Ve=0,ht=Cg(V,Lg);Ve<ht.length;Ve+=1){for(var Rt=ht[Ve],Ht=0,tr=0,Cr=Rt;tr<Cr.length;tr+=1){var Xr=Cr[tr];Ht+=Xr.length}for(var qr=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),pa=0,ja=Rt;pa<ja.length;pa+=1){var Ei=ja[pa];if(Ei.length!==0&&!iA(Ei))for(var li=0,en=0;en<Ei.length;en++){var Ni=Ei[en];if(en>=1){var Qi=Ei[en-1];if(!aA(Ni,Qi)){qr.vertexLength+4>Lo.MAX_VERTEX_ARRAY_LENGTH&&(qr=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var ln=Ni.sub(Qi)._perp()._unit(),xn=Qi.dist(Ni);li+xn>32768&&(li=0),hv(this.layoutVertexArray,Ni.x,Ni.y,ln.x,ln.y,0,0,li),hv(this.layoutVertexArray,Ni.x,Ni.y,ln.x,ln.y,0,1,li),li+=xn,hv(this.layoutVertexArray,Qi.x,Qi.y,ln.x,ln.y,0,0,li),hv(this.layoutVertexArray,Qi.x,Qi.y,ln.x,ln.y,0,1,li);var qn=qr.vertexLength;this.indexArray.emplaceBack(qn,qn+2,qn+1),this.indexArray.emplaceBack(qn+1,qn+2,qn+3),qr.vertexLength+=4,qr.primitiveLength+=2}}}}if(qr.vertexLength+Ht>Lo.MAX_VERTEX_ARRAY_LENGTH&&(qr=this.segments.prepareSegment(Ht,this.layoutVertexArray,this.indexArray)),Qx[k.type]===\"Polygon\"){for(var Nn=[],Mo=[],no=qr.vertexLength,yo=0,Ms=Rt;yo<Ms.length;yo+=1){var Eo=Ms[yo];if(Eo.length!==0){Eo!==Rt[0]&&Mo.push(Nn.length/2);for(var Ro=0;Ro<Eo.length;Ro++){var Zs=Eo[Ro];hv(this.layoutVertexArray,Zs.x,Zs.y,0,0,1,1,0),Nn.push(Zs.x),Nn.push(Zs.y)}}}for(var _s=Ag(Nn,Mo),Wl=0;Wl<_s.length;Wl+=3)this.indexArray.emplaceBack(no+_s[Wl],no+_s[Wl+2],no+_s[Wl+1]);qr.primitiveLength+=_s.length/3,qr.vertexLength+=Ht}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,k,ne,Ie,xe)},de(\"FillExtrusionBucket\",fd,{omit:[\"layers\",\"features\"]});function aA(C,k){return C.x===k.x&&(C.x<0||C.x>pi)||C.y===k.y&&(C.y<0||C.y>pi)}function iA(C){return C.every(function(k){return k.x<0})||C.every(function(k){return k.x>pi})||C.every(function(k){return k.y<0})||C.every(function(k){return k.y>pi})}var pm=new xa({\"fill-extrusion-opacity\":new nt(Ui[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Yt(Ui[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new nt(Ui[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new nt(Ui[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new cr(Ui[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Yt(Ui[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Yt(Ui[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new nt(Ui[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])}),xh={paint:pm},pv=function(C){function k(V){C.call(this,V,xh)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.createBucket=function(ne){return new fd(ne)},k.prototype.queryRadius=function(){return Cp(this.paint.get(\"fill-extrusion-translate\"))},k.prototype.is3D=function(){return!0},k.prototype.queryIntersectsFeature=function(ne,xe,Ie,Ve,ht,Rt,Ht,tr){var Cr=Vp(ne,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),Rt.angle,Ht),Xr=this.paint.get(\"fill-extrusion-height\").evaluate(xe,Ie),qr=this.paint.get(\"fill-extrusion-base\").evaluate(xe,Ie),pa=nA(Cr,tr,Rt,0),ja=W1(Ve,qr,Xr,tr),Ei=ja[0],li=ja[1];return eb(Ei,li,pa)},k}(Ja);function Fv(C,k){return C.x*k.x+C.y*k.y}function H1(C,k){if(C.length===1){for(var V=0,ne=k[V++],xe;!xe||ne.equals(xe);)if(xe=k[V++],!xe)return 1/0;for(;V<k.length;V++){var Ie=k[V],Ve=C[0],ht=xe.sub(ne),Rt=Ie.sub(ne),Ht=Ve.sub(ne),tr=Fv(ht,ht),Cr=Fv(ht,Rt),Xr=Fv(Rt,Rt),qr=Fv(Ht,ht),pa=Fv(Ht,Rt),ja=tr*Xr-Cr*Cr,Ei=(Xr*qr-Cr*pa)/ja,li=(tr*pa-Cr*qr)/ja,en=1-Ei-li,Ni=ne.z*en+xe.z*Ei+Ie.z*li;if(isFinite(Ni))return Ni}return 1/0}else{for(var Qi=1/0,ln=0,xn=k;ln<xn.length;ln+=1){var qn=xn[ln];Qi=Math.min(Qi,qn.z)}return Qi}}function eb(C,k,V){var ne=1/0;Hs(V,k)&&(ne=H1(V,k[0]));for(var xe=0;xe<k.length;xe++)for(var Ie=k[xe],Ve=C[xe],ht=0;ht<Ie.length-1;ht++){var Rt=Ie[ht],Ht=Ie[ht+1],tr=Ve[ht],Cr=Ve[ht+1],Xr=[Rt,Ht,Cr,tr,Rt];Fo(V,Xr)&&(ne=Math.min(ne,H1(V,Xr)))}return ne===1/0?!1:ne}function W1(C,k,V,ne){for(var xe=[],Ie=[],Ve=ne[8]*k,ht=ne[9]*k,Rt=ne[10]*k,Ht=ne[11]*k,tr=ne[8]*V,Cr=ne[9]*V,Xr=ne[10]*V,qr=ne[11]*V,pa=0,ja=C;pa<ja.length;pa+=1){for(var Ei=ja[pa],li=[],en=[],Ni=0,Qi=Ei;Ni<Qi.length;Ni+=1){var ln=Qi[Ni],xn=ln.x,qn=ln.y,Nn=ne[0]*xn+ne[4]*qn+ne[12],Mo=ne[1]*xn+ne[5]*qn+ne[13],no=ne[2]*xn+ne[6]*qn+ne[14],yo=ne[3]*xn+ne[7]*qn+ne[15],Ms=Nn+Ve,Eo=Mo+ht,Ro=no+Rt,Zs=yo+Ht,_s=Nn+tr,Wl=Mo+Cr,zu=no+Xr,Xl=yo+qr,Zl=new i(Ms/Zs,Eo/Zs);Zl.z=Ro/Zs,li.push(Zl);var Ol=new i(_s/Xl,Wl/Xl);Ol.z=zu/Xl,en.push(Ol)}xe.push(li),Ie.push(en)}return[xe,Ie]}function nA(C,k,V,ne){for(var xe=[],Ie=0,Ve=C;Ie<Ve.length;Ie+=1){var ht=Ve[Ie],Rt=[ht.x,ht.y,ne,1];Rv(Rt,Rt,k),xe.push(new i(Rt[0]/Rt[3],Rt[1]/Rt[3]))}return xe}var tb=ki([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),rb=tb.members,oA=ki([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),ab=oA.members,X1=Xd.VectorTileFeature.types,Pg=63,ib=Math.cos(75/2*(Math.PI/180)),D0=15,Z1=20,nb=15,Ig=1/2,z0=Math.pow(2,nb-1)/Ig,Vf=function(k){var V=this;this.zoom=k.zoom,this.overscaling=k.overscaling,this.layers=k.layers,this.layerIds=this.layers.map(function(ne){return ne.id}),this.index=k.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach(function(ne){V.gradients[ne.id]={}}),this.layoutVertexArray=new Wa,this.layoutVertexArray2=new ji,this.indexArray=new Ki,this.programConfigurations=new Xa(k.layers,k.zoom),this.segments=new Lo,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter(function(ne){return ne.isStateDependent()}).map(function(ne){return ne.id})};Vf.prototype.populate=function(k,V,ne){this.hasPattern=kg(\"line\",this.layers,V);for(var xe=this.layers[0].layout.get(\"line-sort-key\"),Ie=[],Ve=0,ht=k;Ve<ht.length;Ve+=1){var Rt=ht[Ve],Ht=Rt.feature,tr=Rt.id,Cr=Rt.index,Xr=Rt.sourceLayerIndex,qr=this.layers[0]._featureFilter.needGeometry,pa=xo(Ht,qr);if(this.layers[0]._featureFilter.filter(new gn(this.zoom),pa,ne)){var ja=xe?xe.evaluate(pa,{},ne):void 0,Ei={id:tr,properties:Ht.properties,type:Ht.type,sourceLayerIndex:Xr,index:Cr,geometry:qr?pa.geometry:cn(Ht),patterns:{},sortKey:ja};Ie.push(Ei)}}xe&&Ie.sort(function(no,yo){return no.sortKey-yo.sortKey});for(var li=0,en=Ie;li<en.length;li+=1){var Ni=en[li],Qi=Ni,ln=Qi.geometry,xn=Qi.index,qn=Qi.sourceLayerIndex;if(this.hasPattern){var Nn=P0(\"line\",this.layers,Ni,this.zoom,V);this.patternFeatures.push(Nn)}else this.addFeature(Ni,ln,xn,ne,{});var Mo=k[xn].feature;V.featureIndex.insert(Mo,ln,xn,qn,this.index)}},Vf.prototype.update=function(k,V,ne){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(k,V,this.stateDependentLayers,ne)},Vf.prototype.addFeatures=function(k,V,ne){for(var xe=0,Ie=this.patternFeatures;xe<Ie.length;xe+=1){var Ve=Ie[xe];this.addFeature(Ve,Ve.geometry,Ve.index,V,ne)}},Vf.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},Vf.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Vf.prototype.upload=function(k){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=k.createVertexBuffer(this.layoutVertexArray2,ab)),this.layoutVertexBuffer=k.createVertexBuffer(this.layoutVertexArray,rb),this.indexBuffer=k.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(k),this.uploaded=!0},Vf.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Vf.prototype.lineFeatureClips=function(k){if(k.properties&&k.properties.hasOwnProperty(\"mapbox_clip_start\")&&k.properties.hasOwnProperty(\"mapbox_clip_end\")){var V=+k.properties.mapbox_clip_start,ne=+k.properties.mapbox_clip_end;return{start:V,end:ne}}},Vf.prototype.addFeature=function(k,V,ne,xe,Ie){var Ve=this.layers[0].layout,ht=Ve.get(\"line-join\").evaluate(k,{}),Rt=Ve.get(\"line-cap\"),Ht=Ve.get(\"line-miter-limit\"),tr=Ve.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(k);for(var Cr=0,Xr=V;Cr<Xr.length;Cr+=1){var qr=Xr[Cr];this.addLine(qr,k,ht,Rt,Ht,tr)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,k,ne,Ie,xe)},Vf.prototype.addLine=function(k,V,ne,xe,Ie,Ve){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var ht=0;ht<k.length-1;ht++)this.totalDistance+=k[ht].dist(k[ht+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var Rt=X1[V.type]===\"Polygon\",Ht=k.length;Ht>=2&&k[Ht-1].equals(k[Ht-2]);)Ht--;for(var tr=0;tr<Ht-1&&k[tr].equals(k[tr+1]);)tr++;if(!(Ht<(Rt?3:2))){ne===\"bevel\"&&(Ie=1.05);var Cr=this.overscaling<=16?D0*pi/(512*this.overscaling):0,Xr=this.segments.prepareSegment(Ht*10,this.layoutVertexArray,this.indexArray),qr,pa=void 0,ja=void 0,Ei=void 0,li=void 0;this.e1=this.e2=-1,Rt&&(qr=k[Ht-2],li=k[tr].sub(qr)._unit()._perp());for(var en=tr;en<Ht;en++)if(ja=en===Ht-1?Rt?k[tr+1]:void 0:k[en+1],!(ja&&k[en].equals(ja))){li&&(Ei=li),qr&&(pa=qr),qr=k[en],li=ja?ja.sub(qr)._unit()._perp():Ei,Ei=Ei||li;var Ni=Ei.add(li);(Ni.x!==0||Ni.y!==0)&&Ni._unit();var Qi=Ei.x*li.x+Ei.y*li.y,ln=Ni.x*li.x+Ni.y*li.y,xn=ln!==0?1/ln:1/0,qn=2*Math.sqrt(2-2*ln),Nn=ln<ib&&pa&&ja,Mo=Ei.x*li.y-Ei.y*li.x>0;if(Nn&&en>tr){var no=qr.dist(pa);if(no>2*Cr){var yo=qr.sub(qr.sub(pa)._mult(Cr/no)._round());this.updateDistance(pa,yo),this.addCurrentVertex(yo,Ei,0,0,Xr),pa=yo}}var Ms=pa&&ja,Eo=Ms?ne:Rt?\"butt\":xe;if(Ms&&Eo===\"round\"&&(xn<Ve?Eo=\"miter\":xn<=2&&(Eo=\"fakeround\")),Eo===\"miter\"&&xn>Ie&&(Eo=\"bevel\"),Eo===\"bevel\"&&(xn>2&&(Eo=\"flipbevel\"),xn<Ie&&(Eo=\"miter\")),pa&&this.updateDistance(pa,qr),Eo===\"miter\")Ni._mult(xn),this.addCurrentVertex(qr,Ni,0,0,Xr);else if(Eo===\"flipbevel\"){if(xn>100)Ni=li.mult(-1);else{var Ro=xn*Ei.add(li).mag()/Ei.sub(li).mag();Ni._perp()._mult(Ro*(Mo?-1:1))}this.addCurrentVertex(qr,Ni,0,0,Xr),this.addCurrentVertex(qr,Ni.mult(-1),0,0,Xr)}else if(Eo===\"bevel\"||Eo===\"fakeround\"){var Zs=-Math.sqrt(xn*xn-1),_s=Mo?Zs:0,Wl=Mo?0:Zs;if(pa&&this.addCurrentVertex(qr,Ei,_s,Wl,Xr),Eo===\"fakeround\")for(var zu=Math.round(qn*180/Math.PI/Z1),Xl=1;Xl<zu;Xl++){var Zl=Xl/zu;if(Zl!==.5){var Ol=Zl-.5,$u=1.0904+Qi*(-3.2452+Qi*(3.55645-Qi*1.43519)),hc=.848013+Qi*(-1.06021+Qi*.215638);Zl=Zl+Zl*Ol*(Zl-1)*($u*Ol*Ol+hc)}var cf=li.sub(Ei)._mult(Zl)._add(Ei)._unit()._mult(Mo?-1:1);this.addHalfVertex(qr,cf.x,cf.y,!1,Mo,0,Xr)}ja&&this.addCurrentVertex(qr,li,-_s,-Wl,Xr)}else if(Eo===\"butt\")this.addCurrentVertex(qr,Ni,0,0,Xr);else if(Eo===\"square\"){var yf=pa?1:-1;this.addCurrentVertex(qr,Ni,yf,yf,Xr)}else Eo===\"round\"&&(pa&&(this.addCurrentVertex(qr,Ei,0,0,Xr),this.addCurrentVertex(qr,Ei,1,1,Xr,!0)),ja&&(this.addCurrentVertex(qr,li,-1,-1,Xr,!0),this.addCurrentVertex(qr,li,0,0,Xr)));if(Nn&&en<Ht-1){var dh=qr.dist(ja);if(dh>2*Cr){var Wf=qr.add(ja.sub(qr)._mult(Cr/dh)._round());this.updateDistance(qr,Wf),this.addCurrentVertex(Wf,li,0,0,Xr),qr=Wf}}}}},Vf.prototype.addCurrentVertex=function(k,V,ne,xe,Ie,Ve){Ve===void 0&&(Ve=!1);var ht=V.x+V.y*ne,Rt=V.y-V.x*ne,Ht=-V.x+V.y*xe,tr=-V.y-V.x*xe;this.addHalfVertex(k,ht,Rt,Ve,!1,ne,Ie),this.addHalfVertex(k,Ht,tr,Ve,!0,-xe,Ie),this.distance>z0/2&&this.totalDistance===0&&(this.distance=0,this.addCurrentVertex(k,V,ne,xe,Ie,Ve))},Vf.prototype.addHalfVertex=function(k,V,ne,xe,Ie,Ve,ht){var Rt=k.x,Ht=k.y,tr=this.lineClips?this.scaledDistance*(z0-1):this.scaledDistance,Cr=tr*Ig;if(this.layoutVertexArray.emplaceBack((Rt<<1)+(xe?1:0),(Ht<<1)+(Ie?1:0),Math.round(Pg*V)+128,Math.round(Pg*ne)+128,(Ve===0?0:Ve<0?-1:1)+1|(Cr&63)<<2,Cr>>6),this.lineClips){var Xr=this.scaledDistance-this.lineClips.start,qr=this.lineClips.end-this.lineClips.start,pa=Xr/qr;this.layoutVertexArray2.emplaceBack(pa,this.lineClipsArray.length)}var ja=ht.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,ja),ht.primitiveLength++),Ie?this.e2=ja:this.e1=ja},Vf.prototype.updateScaledDistance=function(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance},Vf.prototype.updateDistance=function(k,V){this.distance+=k.dist(V),this.updateScaledDistance()},de(\"LineBucket\",Vf,{omit:[\"layers\",\"patternFeatures\"]});var Y1=new xa({\"line-cap\":new nt(Ui.layout_line[\"line-cap\"]),\"line-join\":new Yt(Ui.layout_line[\"line-join\"]),\"line-miter-limit\":new nt(Ui.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new nt(Ui.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Yt(Ui.layout_line[\"line-sort-key\"])}),K1=new xa({\"line-opacity\":new Yt(Ui.paint_line[\"line-opacity\"]),\"line-color\":new Yt(Ui.paint_line[\"line-color\"]),\"line-translate\":new nt(Ui.paint_line[\"line-translate\"]),\"line-translate-anchor\":new nt(Ui.paint_line[\"line-translate-anchor\"]),\"line-width\":new Yt(Ui.paint_line[\"line-width\"]),\"line-gap-width\":new Yt(Ui.paint_line[\"line-gap-width\"]),\"line-offset\":new Yt(Ui.paint_line[\"line-offset\"]),\"line-blur\":new Yt(Ui.paint_line[\"line-blur\"]),\"line-dasharray\":new ua(Ui.paint_line[\"line-dasharray\"]),\"line-pattern\":new cr(Ui.paint_line[\"line-pattern\"]),\"line-gradient\":new Aa(Ui.paint_line[\"line-gradient\"])}),Rg={paint:K1,layout:Y1},sA=function(C){function k(){C.apply(this,arguments)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.possiblyEvaluate=function(ne,xe){return xe=new gn(Math.floor(xe.zoom),{now:xe.now,fadeDuration:xe.fadeDuration,zoomHistory:xe.zoomHistory,transition:xe.transition}),C.prototype.possiblyEvaluate.call(this,ne,xe)},k.prototype.evaluate=function(ne,xe,Ie,Ve){return xe=y({},xe,{zoom:Math.floor(xe.zoom)}),C.prototype.evaluate.call(this,ne,xe,Ie,Ve)},k}(Yt),H=new sA(Rg.paint.properties[\"line-width\"].specification);H.useIntegerZoom=!0;var D=function(C){function k(V){C.call(this,V,Rg),this.gradientVersion=0}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype._handleSpecialPaintPropertyUpdate=function(ne){if(ne===\"line-gradient\"){var xe=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.stepInterpolant=xe._styleExpression.expression instanceof bu,this.gradientVersion=(this.gradientVersion+1)%f}},k.prototype.gradientExpression=function(){return this._transitionablePaint._values[\"line-gradient\"].value.expression},k.prototype.recalculate=function(ne,xe){C.prototype.recalculate.call(this,ne,xe),this.paint._values[\"line-floorwidth\"]=H.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,ne)},k.prototype.createBucket=function(ne){return new Vf(ne)},k.prototype.queryRadius=function(ne){var xe=ne,Ie=K(Rh(\"line-width\",this,xe),Rh(\"line-gap-width\",this,xe)),Ve=Rh(\"line-offset\",this,xe);return Ie/2+Math.abs(Ve)+Cp(this.paint.get(\"line-translate\"))},k.prototype.queryIntersectsFeature=function(ne,xe,Ie,Ve,ht,Rt,Ht){var tr=Vp(ne,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),Rt.angle,Ht),Cr=Ht/2*K(this.paint.get(\"line-width\").evaluate(xe,Ie),this.paint.get(\"line-gap-width\").evaluate(xe,Ie)),Xr=this.paint.get(\"line-offset\").evaluate(xe,Ie);return Xr&&(Ve=pe(Ve,Xr*Ht)),pu(tr,Ve,Cr)},k.prototype.isTileClipped=function(){return!0},k}(Ja);function K(C,k){return k>0?k+2*C:C}function pe(C,k){for(var V=[],ne=new i(0,0),xe=0;xe<C.length;xe++){for(var Ie=C[xe],Ve=[],ht=0;ht<Ie.length;ht++){var 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V=(C&7)<<4;k.buf[k.pos++]|=V|((C>>>=3)?128:0),C&&(k.buf[k.pos++]=C&127|((C>>>=7)?128:0),C&&(k.buf[k.pos++]=C&127|((C>>>=7)?128:0),C&&(k.buf[k.pos++]=C&127|((C>>>=7)?128:0),C&&(k.buf[k.pos++]=C&127|((C>>>=7)?128:0),C&&(k.buf[k.pos++]=C&127)))))}function Hp(C,k,V){var ne=k<=16383?1:k<=2097151?2:k<=268435455?3:Math.floor(Math.log(k)/(Math.LN2*7));V.realloc(ne);for(var xe=V.pos-1;xe>=C;xe--)V.buf[xe+ne]=V.buf[xe]}function bh(C,k){for(var V=0;V<C.length;V++)k.writeVarint(C[V])}function eh(C,k){for(var V=0;V<C.length;V++)k.writeSVarint(C[V])}function Jh(C,k){for(var V=0;V<C.length;V++)k.writeFloat(C[V])}function $h(C,k){for(var V=0;V<C.length;V++)k.writeDouble(C[V])}function Qh(C,k){for(var V=0;V<C.length;V++)k.writeBoolean(C[V])}function uf(C,k){for(var V=0;V<C.length;V++)k.writeFixed32(C[V])}function th(C,k){for(var V=0;V<C.length;V++)k.writeSFixed32(C[V])}function Fh(C,k){for(var V=0;V<C.length;V++)k.writeFixed64(C[V])}function wh(C,k){for(var V=0;V<C.length;V++)k.writeSFixed64(C[V])}function fh(C,k){return(C[k]|C[k+1]<<8|C[k+2]<<16)+C[k+3]*16777216}function gf(C,k,V){C[V]=k,C[V+1]=k>>>8,C[V+2]=k>>>16,C[V+3]=k>>>24}function Ip(C,k){return(C[k]|C[k+1]<<8|C[k+2]<<16)+(C[k+3]<<24)}function pp(C,k,V){for(var ne=\"\",xe=k;xe<V;){var Ie=C[xe],Ve=null,ht=Ie>239?4:Ie>223?3:Ie>191?2:1;if(xe+ht>V)break;var Rt,Ht,tr;ht===1?Ie<128&&(Ve=Ie):ht===2?(Rt=C[xe+1],(Rt&192)===128&&(Ve=(Ie&31)<<6|Rt&63,Ve<=127&&(Ve=null))):ht===3?(Rt=C[xe+1],Ht=C[xe+2],(Rt&192)===128&&(Ht&192)===128&&(Ve=(Ie&15)<<12|(Rt&63)<<6|Ht&63,(Ve<=2047||Ve>=55296&&Ve<=57343)&&(Ve=null))):ht===4&&(Rt=C[xe+1],Ht=C[xe+2],tr=C[xe+3],(Rt&192)===128&&(Ht&192)===128&&(tr&192)===128&&(Ve=(Ie&15)<<18|(Rt&63)<<12|(Ht&63)<<6|tr&63,(Ve<=65535||Ve>=1114112)&&(Ve=null))),Ve===null?(Ve=65533,ht=1):Ve>65535&&(Ve-=65536,ne+=String.fromCharCode(Ve>>>10&1023|55296),Ve=56320|Ve&1023),ne+=String.fromCharCode(Ve),xe+=ht}return ne}function uu(C,k,V){return _n.decode(C.subarray(k,V))}function fc(C,k,V){for(var ne=0,xe,Ie;ne<k.length;ne++){if(xe=k.charCodeAt(ne),xe>55295&&xe<57344)if(Ie)if(xe<56320){C[V++]=239,C[V++]=191,C[V++]=189,Ie=xe;continue}else xe=Ie-55296<<10|xe-56320|65536,Ie=null;else{xe>56319||ne+1===k.length?(C[V++]=239,C[V++]=191,C[V++]=189):Ie=xe;continue}else Ie&&(C[V++]=239,C[V++]=191,C[V++]=189,Ie=null);xe<128?C[V++]=xe:(xe<2048?C[V++]=xe>>6|192:(xe<65536?C[V++]=xe>>12|224:(C[V++]=xe>>18|240,C[V++]=xe>>12&63|128),C[V++]=xe>>6&63|128),C[V++]=xe&63|128)}return V}var Ju=3;function Rp(C,k,V){C===1&&V.readMessage(Kc,k)}function Kc(C,k,V){if(C===3){var ne=V.readMessage(dm,{}),xe=ne.id,Ie=ne.bitmap,Ve=ne.width,ht=ne.height,Rt=ne.left,Ht=ne.top,tr=ne.advance;k.push({id:xe,bitmap:new Pp({width:Ve+2*Ju,height:ht+2*Ju},Ie),metrics:{width:Ve,height:ht,left:Rt,top:Ht,advance:tr}})}}function dm(C,k,V){C===1?k.id=V.readVarint():C===2?k.bitmap=V.readBytes():C===3?k.width=V.readVarint():C===4?k.height=V.readVarint():C===5?k.left=V.readSVarint():C===6?k.top=V.readSVarint():C===7&&(k.advance=V.readVarint())}function _d(C){return new go(C).readFields(Rp,[])}var hd=Ju;function Wp(C){for(var k=0,V=0,ne=0,xe=C;ne<xe.length;ne+=1){var Ie=xe[ne];k+=Ie.w*Ie.h,V=Math.max(V,Ie.w)}C.sort(function(Ei,li){return li.h-Ei.h});for(var Ve=Math.max(Math.ceil(Math.sqrt(k/.95)),V),ht=[{x:0,y:0,w:Ve,h:1/0}],Rt=0,Ht=0,tr=0,Cr=C;tr<Cr.length;tr+=1)for(var Xr=Cr[tr],qr=ht.length-1;qr>=0;qr--){var pa=ht[qr];if(!(Xr.w>pa.w||Xr.h>pa.h)){if(Xr.x=pa.x,Xr.y=pa.y,Ht=Math.max(Ht,Xr.y+Xr.h),Rt=Math.max(Rt,Xr.x+Xr.w),Xr.w===pa.w&&Xr.h===pa.h){var ja=ht.pop();qr<ht.length&&(ht[qr]=ja)}else Xr.h===pa.h?(pa.x+=Xr.w,pa.w-=Xr.w):Xr.w===pa.w?(pa.y+=Xr.h,pa.h-=Xr.h):(ht.push({x:pa.x+Xr.w,y:pa.y,w:pa.w-Xr.w,h:Xr.h}),pa.y+=Xr.h,pa.h-=Xr.h);break}}return{w:Rt,h:Ht,fill:k/(Rt*Ht)||0}}var Rc=1,Pf=function(k,V){var ne=V.pixelRatio,xe=V.version,Ie=V.stretchX,Ve=V.stretchY,ht=V.content;this.paddedRect=k,this.pixelRatio=ne,this.stretchX=Ie,this.stretchY=Ve,this.content=ht,this.version=xe},Xp={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};Xp.tl.get=function(){return[this.paddedRect.x+Rc,this.paddedRect.y+Rc]},Xp.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-Rc,this.paddedRect.y+this.paddedRect.h-Rc]},Xp.tlbr.get=function(){return this.tl.concat(this.br)},Xp.displaySize.get=function(){return[(this.paddedRect.w-Rc*2)/this.pixelRatio,(this.paddedRect.h-Rc*2)/this.pixelRatio]},Object.defineProperties(Pf.prototype,Xp);var Zd=function(k,V){var ne={},xe={};this.haveRenderCallbacks=[];var Ie=[];this.addImages(k,ne,Ie),this.addImages(V,xe,Ie);var Ve=Wp(Ie),ht=Ve.w,Rt=Ve.h,Ht=new $f({width:ht||1,height:Rt||1});for(var tr in k){var Cr=k[tr],Xr=ne[tr].paddedRect;$f.copy(Cr.data,Ht,{x:0,y:0},{x:Xr.x+Rc,y:Xr.y+Rc},Cr.data)}for(var qr in V){var pa=V[qr],ja=xe[qr].paddedRect,Ei=ja.x+Rc,li=ja.y+Rc,en=pa.data.width,Ni=pa.data.height;$f.copy(pa.data,Ht,{x:0,y:0},{x:Ei,y:li},pa.data),$f.copy(pa.data,Ht,{x:0,y:Ni-1},{x:Ei,y:li-1},{width:en,height:1}),$f.copy(pa.data,Ht,{x:0,y:0},{x:Ei,y:li+Ni},{width:en,height:1}),$f.copy(pa.data,Ht,{x:en-1,y:0},{x:Ei-1,y:li},{width:1,height:Ni}),$f.copy(pa.data,Ht,{x:0,y:0},{x:Ei+en,y:li},{width:1,height:Ni})}this.image=Ht,this.iconPositions=ne,this.patternPositions=xe};Zd.prototype.addImages=function(k,V,ne){for(var xe in k){var Ie=k[xe],Ve={x:0,y:0,w:Ie.data.width+2*Rc,h:Ie.data.height+2*Rc};ne.push(Ve),V[xe]=new Pf(Ve,Ie),Ie.hasRenderCallback&&this.haveRenderCallbacks.push(xe)}},Zd.prototype.patchUpdatedImages=function(k,V){k.dispatchRenderCallbacks(this.haveRenderCallbacks);for(var ne in k.updatedImages)this.patchUpdatedImage(this.iconPositions[ne],k.getImage(ne),V),this.patchUpdatedImage(this.patternPositions[ne],k.getImage(ne),V)},Zd.prototype.patchUpdatedImage=function(k,V,ne){if(!(!k||!V)&&k.version!==V.version){k.version=V.version;var xe=k.tl,Ie=xe[0],Ve=xe[1];ne.update(V.data,void 0,{x:Ie,y:Ve})}},de(\"ImagePosition\",Pf),de(\"ImageAtlas\",Zd);var dp={horizontal:1,vertical:2,horizontalOnly:3},vm=-17;function J1(C){for(var k=0,V=C;k<V.length;k+=1){var ne=V[k];if(ne.positionedGlyphs.length!==0)return!1}return!0}var Dg=57344,xd=63743,Ov=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Ov.forText=function(k,V){var ne=new Ov;return ne.scale=k||1,ne.fontStack=V,ne},Ov.forImage=function(k){var V=new Ov;return V.imageName=k,V};var hh=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};hh.fromFeature=function(k,V){for(var ne=new hh,xe=0;xe<k.sections.length;xe++){var Ie=k.sections[xe];Ie.image?ne.addImageSection(Ie):ne.addTextSection(Ie,V)}return ne},hh.prototype.length=function(){return this.text.length},hh.prototype.getSection=function(k){return this.sections[this.sectionIndex[k]]},hh.prototype.getSectionIndex=function(k){return this.sectionIndex[k]},hh.prototype.getCharCode=function(k){return this.text.charCodeAt(k)},hh.prototype.verticalizePunctuation=function(){this.text=Hi(this.text)},hh.prototype.trim=function(){for(var k=0,V=0;V<this.text.length&&bd[this.text.charCodeAt(V)];V++)k++;for(var ne=this.text.length,xe=this.text.length-1;xe>=0&&xe>=k&&bd[this.text.charCodeAt(xe)];xe--)ne--;this.text=this.text.substring(k,ne),this.sectionIndex=this.sectionIndex.slice(k,ne)},hh.prototype.substring=function(k,V){var ne=new hh;return ne.text=this.text.substring(k,V),ne.sectionIndex=this.sectionIndex.slice(k,V),ne.sections=this.sections,ne},hh.prototype.toString=function(){return this.text},hh.prototype.getMaxScale=function(){var k=this;return this.sectionIndex.reduce(function(V,ne){return Math.max(V,k.sections[ne].scale)},0)},hh.prototype.addTextSection=function(k,V){this.text+=k.text,this.sections.push(Ov.forText(k.scale,k.fontStack||V));for(var ne=this.sections.length-1,xe=0;xe<k.text.length;++xe)this.sectionIndex.push(ne)},hh.prototype.addImageSection=function(k){var V=k.image?k.image.name:\"\";if(V.length===0){U(\"Can't add FormattedSection with an empty image.\");return}var ne=this.getNextImageSectionCharCode();if(!ne){U(\"Reached maximum number of images \"+(xd-Dg+2));return}this.text+=String.fromCharCode(ne),this.sections.push(Ov.forImage(V)),this.sectionIndex.push(this.sections.length-1)},hh.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=xd?null:++this.imageSectionID:(this.imageSectionID=Dg,this.imageSectionID)};function lA(C,k){for(var V=[],ne=C.text,xe=0,Ie=0,Ve=k;Ie<Ve.length;Ie+=1){var ht=Ve[Ie];V.push(C.substring(xe,ht)),xe=ht}return xe<ne.length&&V.push(C.substring(xe,ne.length)),V}function zg(C,k,V,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa,ja){var Ei=hh.fromFeature(C,xe);Cr===dp.vertical&&Ei.verticalizePunctuation();var li,en=el.processBidirectionalText,Ni=el.processStyledBidirectionalText;if(en&&Ei.sections.length===1){li=[];for(var Qi=en(Ei.toString(),Fg(Ei,Ht,Ie,k,ne,qr,pa)),ln=0,xn=Qi;ln<xn.length;ln+=1){var qn=xn[ln],Nn=new hh;Nn.text=qn,Nn.sections=Ei.sections;for(var Mo=0;Mo<qn.length;Mo++)Nn.sectionIndex.push(0);li.push(Nn)}}else if(Ni){li=[];for(var no=Ni(Ei.text,Ei.sectionIndex,Fg(Ei,Ht,Ie,k,ne,qr,pa)),yo=0,Ms=no;yo<Ms.length;yo+=1){var Eo=Ms[yo],Ro=new hh;Ro.text=Eo[0],Ro.sectionIndex=Eo[1],Ro.sections=Ei.sections,li.push(Ro)}}else li=lA(Ei,Fg(Ei,Ht,Ie,k,ne,qr,pa));var Zs=[],_s={positionedLines:Zs,text:Ei.toString(),top:tr[1],bottom:tr[1],left:tr[0],right:tr[0],writingMode:Cr,iconsInText:!1,verticalizable:!1};return fA(_s,k,V,ne,li,Ve,ht,Rt,Cr,Ht,Xr,ja),J1(Zs)?!1:_s}var bd={};bd[9]=!0,bd[10]=!0,bd[11]=!0,bd[12]=!0,bd[13]=!0,bd[32]=!0;var vp={};vp[10]=!0,vp[32]=!0,vp[38]=!0,vp[40]=!0,vp[41]=!0,vp[43]=!0,vp[45]=!0,vp[47]=!0,vp[173]=!0,vp[183]=!0,vp[8203]=!0,vp[8208]=!0,vp[8211]=!0,vp[8231]=!0;function ob(C,k,V,ne,xe,Ie){if(k.imageName){var Rt=ne[k.imageName];return Rt?Rt.displaySize[0]*k.scale*rn/Ie+xe:0}else{var Ve=V[k.fontStack],ht=Ve&&Ve[C];return ht?ht.metrics.advance*k.scale+xe:0}}function uA(C,k,V,ne,xe,Ie){for(var Ve=0,ht=0;ht<C.length();ht++){var Rt=C.getSection(ht);Ve+=ob(C.getCharCode(ht),Rt,ne,xe,k,Ie)}var Ht=Math.max(1,Math.ceil(Ve/V));return Ve/Ht}function sb(C,k,V,ne){var xe=Math.pow(C-k,2);return ne?C<k?xe/2:xe*2:xe+Math.abs(V)*V}function cA(C,k,V){var ne=0;return C===10&&(ne-=1e4),V&&(ne+=150),(C===40||C===65288)&&(ne+=50),(k===41||k===65289)&&(ne+=50),ne}function id(C,k,V,ne,xe,Ie){for(var Ve=null,ht=sb(k,V,xe,Ie),Rt=0,Ht=ne;Rt<Ht.length;Rt+=1){var tr=Ht[Rt],Cr=k-tr.x,Xr=sb(Cr,V,xe,Ie)+tr.badness;Xr<=ht&&(Ve=tr,ht=Xr)}return{index:C,x:k,priorBreak:Ve,badness:ht}}function F0(C){return C?F0(C.priorBreak).concat(C.index):[]}function Fg(C,k,V,ne,xe,Ie,Ve){if(Ie!==\"point\")return[];if(!C)return[];for(var ht=[],Rt=uA(C,k,V,ne,xe,Ve),Ht=C.text.indexOf(\"\\u200B\")>=0,tr=0,Cr=0;Cr<C.length();Cr++){var Xr=C.getSection(Cr),qr=C.getCharCode(Cr);if(bd[qr]||(tr+=ob(qr,Xr,ne,xe,k,Ve)),Cr<C.length()-1){var pa=Ta(qr);(vp[qr]||pa||Xr.imageName)&&ht.push(id(Cr+1,tr,Rt,ht,cA(qr,C.getCharCode(Cr+1),pa&&Ht),!1))}}return F0(id(C.length(),tr,Rt,ht,0,!0))}function $1(C){var k=.5,V=.5;switch(C){case\"right\":case\"top-right\":case\"bottom-right\":k=1;break;case\"left\":case\"top-left\":case\"bottom-left\":k=0;break}switch(C){case\"bottom\":case\"bottom-right\":case\"bottom-left\":V=1;break;case\"top\":case\"top-right\":case\"top-left\":V=0;break}return{horizontalAlign:k,verticalAlign:V}}function fA(C,k,V,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr){for(var Xr=0,qr=vm,pa=0,ja=0,Ei=ht===\"right\"?1:ht===\"left\"?0:.5,li=0,en=0,Ni=xe;en<Ni.length;en+=1){var Qi=Ni[en];Qi.trim();var ln=Qi.getMaxScale(),xn=(ln-1)*rn,qn={positionedGlyphs:[],lineOffset:0};C.positionedLines[li]=qn;var Nn=qn.positionedGlyphs,Mo=0;if(!Qi.length()){qr+=Ie,++li;continue}for(var no=0;no<Qi.length();no++){var yo=Qi.getSection(no),Ms=Qi.getSectionIndex(no),Eo=Qi.getCharCode(no),Ro=0,Zs=null,_s=null,Wl=null,zu=rn,Xl=!(Rt===dp.horizontal||!tr&&!ya(Eo)||tr&&(bd[Eo]||Ma(Eo)));if(yo.imageName){var cf=ne[yo.imageName];if(!cf)continue;Wl=yo.imageName,C.iconsInText=C.iconsInText||!0,_s=cf.paddedRect;var yf=cf.displaySize;yo.scale=yo.scale*rn/Cr,Zs={width:yf[0],height:yf[1],left:Rc,top:-hd,advance:Xl?yf[1]:yf[0]};var dh=rn-yf[1]*yo.scale;Ro=xn+dh,zu=Zs.advance;var Wf=Xl?yf[0]*yo.scale-rn*ln:yf[1]*yo.scale-rn*ln;Wf>0&&Wf>Mo&&(Mo=Wf)}else{var Zl=V[yo.fontStack],Ol=Zl&&Zl[Eo];if(Ol&&Ol.rect)_s=Ol.rect,Zs=Ol.metrics;else{var $u=k[yo.fontStack],hc=$u&&$u[Eo];if(!hc)continue;Zs=hc.metrics}Ro=(ln-yo.scale)*rn}Xl?(C.verticalizable=!0,Nn.push({glyph:Eo,imageName:Wl,x:Xr,y:qr+Ro,vertical:Xl,scale:yo.scale,fontStack:yo.fontStack,sectionIndex:Ms,metrics:Zs,rect:_s}),Xr+=zu*yo.scale+Ht):(Nn.push({glyph:Eo,imageName:Wl,x:Xr,y:qr+Ro,vertical:Xl,scale:yo.scale,fontStack:yo.fontStack,sectionIndex:Ms,metrics:Zs,rect:_s}),Xr+=Zs.advance*yo.scale+Ht)}if(Nn.length!==0){var tp=Xr-Ht;pa=Math.max(tp,pa),hA(Nn,0,Nn.length-1,Ei,Mo)}Xr=0;var rp=Ie*ln+Mo;qn.lineOffset=Math.max(Mo,xn),qr+=rp,ja=Math.max(rp,ja),++li}var vh=qr-vm,mp=$1(Ve),gp=mp.horizontalAlign,rh=mp.verticalAlign;Oh(C.positionedLines,Ei,gp,rh,pa,ja,Ie,vh,xe.length),C.top+=-rh*vh,C.bottom=C.top+vh,C.left+=-gp*pa,C.right=C.left+pa}function hA(C,k,V,ne,xe){if(!(!ne&&!xe))for(var Ie=C[V],Ve=Ie.metrics.advance*Ie.scale,ht=(C[V].x+Ve)*ne,Rt=k;Rt<=V;Rt++)C[Rt].x-=ht,C[Rt].y+=xe}function Oh(C,k,V,ne,xe,Ie,Ve,ht,Rt){var Ht=(k-V)*xe,tr=0;Ie!==Ve?tr=-ht*ne-vm:tr=(-ne*Rt+.5)*Ve;for(var Cr=0,Xr=C;Cr<Xr.length;Cr+=1)for(var qr=Xr[Cr],pa=0,ja=qr.positionedGlyphs;pa<ja.length;pa+=1){var Ei=ja[pa];Ei.x+=Ht,Ei.y+=tr}}function Zp(C,k,V){var ne=$1(V),xe=ne.horizontalAlign,Ie=ne.verticalAlign,Ve=k[0],ht=k[1],Rt=Ve-C.displaySize[0]*xe,Ht=Rt+C.displaySize[0],tr=ht-C.displaySize[1]*Ie,Cr=tr+C.displaySize[1];return{image:C,top:tr,bottom:Cr,left:Rt,right:Ht}}function dv(C,k,V,ne,xe,Ie){var Ve=C.image,ht;if(Ve.content){var Rt=Ve.content,Ht=Ve.pixelRatio||1;ht=[Rt[0]/Ht,Rt[1]/Ht,Ve.displaySize[0]-Rt[2]/Ht,Ve.displaySize[1]-Rt[3]/Ht]}var tr=k.left*Ie,Cr=k.right*Ie,Xr,qr,pa,ja;V===\"width\"||V===\"both\"?(ja=xe[0]+tr-ne[3],qr=xe[0]+Cr+ne[1]):(ja=xe[0]+(tr+Cr-Ve.displaySize[0])/2,qr=ja+Ve.displaySize[0]);var Ei=k.top*Ie,li=k.bottom*Ie;return V===\"height\"||V===\"both\"?(Xr=xe[1]+Ei-ne[0],pa=xe[1]+li+ne[2]):(Xr=xe[1]+(Ei+li-Ve.displaySize[1])/2,pa=Xr+Ve.displaySize[1]),{image:Ve,top:Xr,right:qr,bottom:pa,left:ja,collisionPadding:ht}}var ep=function(C){function k(V,ne,xe,Ie){C.call(this,V,ne),this.angle=xe,Ie!==void 0&&(this.segment=Ie)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.clone=function(){return new k(this.x,this.y,this.angle,this.segment)},k}(i);de(\"Anchor\",ep);var Bh=128;function nd(C,k){var V=k.expression;if(V.kind===\"constant\"){var ne=V.evaluate(new gn(C+1));return{kind:\"constant\",layoutSize:ne}}else{if(V.kind===\"source\")return{kind:\"source\"};for(var xe=V.zoomStops,Ie=V.interpolationType,Ve=0;Ve<xe.length&&xe[Ve]<=C;)Ve++;Ve=Math.max(0,Ve-1);for(var ht=Ve;ht<xe.length&&xe[ht]<C+1;)ht++;ht=Math.min(xe.length-1,ht);var Rt=xe[Ve],Ht=xe[ht];if(V.kind===\"composite\")return{kind:\"composite\",minZoom:Rt,maxZoom:Ht,interpolationType:Ie};var tr=V.evaluate(new gn(Rt)),Cr=V.evaluate(new gn(Ht));return{kind:\"camera\",minZoom:Rt,maxZoom:Ht,minSize:tr,maxSize:Cr,interpolationType:Ie}}}function mC(C,k,V){var ne=k.uSize,xe=k.uSizeT,Ie=V.lowerSize,Ve=V.upperSize;return C.kind===\"source\"?Ie/Bh:C.kind===\"composite\"?Ml(Ie/Bh,Ve/Bh,xe):ne}function gC(C,k){var V=0,ne=0;if(C.kind===\"constant\")ne=C.layoutSize;else if(C.kind!==\"source\"){var xe=C.interpolationType,Ie=C.minZoom,Ve=C.maxZoom,ht=xe?l(ru.interpolationFactor(xe,k,Ie,Ve),0,1):0;C.kind===\"camera\"?ne=Ml(C.minSize,C.maxSize,ht):V=ht}return{uSizeT:V,uSize:ne}}var mW=Object.freeze({__proto__:null,getSizeData:nd,evaluateSizeForFeature:mC,evaluateSizeForZoom:gC,SIZE_PACK_FACTOR:Bh});function yC(C,k,V,ne,xe){if(k.segment===void 0)return!0;for(var Ie=k,Ve=k.segment+1,ht=0;ht>-V/2;){if(Ve--,Ve<0)return!1;ht-=C[Ve].dist(Ie),Ie=C[Ve]}ht+=C[Ve].dist(C[Ve+1]),Ve++;for(var Rt=[],Ht=0;ht<V/2;){var tr=C[Ve-1],Cr=C[Ve],Xr=C[Ve+1];if(!Xr)return!1;var qr=tr.angleTo(Cr)-Cr.angleTo(Xr);for(qr=Math.abs((qr+3*Math.PI)%(Math.PI*2)-Math.PI),Rt.push({distance:ht,angleDelta:qr}),Ht+=qr;ht-Rt[0].distance>ne;)Ht-=Rt.shift().angleDelta;if(Ht>xe)return!1;Ve++,ht+=Cr.dist(Xr)}return!0}function _C(C){for(var k=0,V=0;V<C.length-1;V++)k+=C[V].dist(C[V+1]);return k}function xC(C,k,V){return C?3/5*k*V:0}function bC(C,k){return Math.max(C?C.right-C.left:0,k?k.right-k.left:0)}function gW(C,k,V,ne,xe,Ie){for(var Ve=xC(V,xe,Ie),ht=bC(V,ne)*Ie,Rt=0,Ht=_C(C)/2,tr=0;tr<C.length-1;tr++){var Cr=C[tr],Xr=C[tr+1],qr=Cr.dist(Xr);if(Rt+qr>Ht){var pa=(Ht-Rt)/qr,ja=Ml(Cr.x,Xr.x,pa),Ei=Ml(Cr.y,Xr.y,pa),li=new ep(ja,Ei,Xr.angleTo(Cr),tr);return li._round(),!Ve||yC(C,li,ht,Ve,k)?li:void 0}Rt+=qr}}function yW(C,k,V,ne,xe,Ie,Ve,ht,Rt){var Ht=xC(ne,Ie,Ve),tr=bC(ne,xe),Cr=tr*Ve,Xr=C[0].x===0||C[0].x===Rt||C[0].y===0||C[0].y===Rt;k-Cr<k/4&&(k=Cr+k/4);var qr=Ie*2,pa=Xr?k/2*ht%k:(tr/2+qr)*Ve*ht%k;return wC(C,pa,k,Ht,V,Cr,Xr,!1,Rt)}function wC(C,k,V,ne,xe,Ie,Ve,ht,Rt){for(var Ht=Ie/2,tr=_C(C),Cr=0,Xr=k-V,qr=[],pa=0;pa<C.length-1;pa++){for(var ja=C[pa],Ei=C[pa+1],li=ja.dist(Ei),en=Ei.angleTo(ja);Xr+V<Cr+li;){Xr+=V;var Ni=(Xr-Cr)/li,Qi=Ml(ja.x,Ei.x,Ni),ln=Ml(ja.y,Ei.y,Ni);if(Qi>=0&&Qi<Rt&&ln>=0&&ln<Rt&&Xr-Ht>=0&&Xr+Ht<=tr){var xn=new ep(Qi,ln,en,pa);xn._round(),(!ne||yC(C,xn,Ie,ne,xe))&&qr.push(xn)}}Cr+=li}return!ht&&!qr.length&&!Ve&&(qr=wC(C,Cr/2,V,ne,xe,Ie,Ve,!0,Rt)),qr}function TC(C,k,V,ne,xe){for(var Ie=[],Ve=0;Ve<C.length;Ve++)for(var ht=C[Ve],Rt=void 0,Ht=0;Ht<ht.length-1;Ht++){var tr=ht[Ht],Cr=ht[Ht+1];tr.x<k&&Cr.x<k||(tr.x<k?tr=new i(k,tr.y+(Cr.y-tr.y)*((k-tr.x)/(Cr.x-tr.x)))._round():Cr.x<k&&(Cr=new i(k,tr.y+(Cr.y-tr.y)*((k-tr.x)/(Cr.x-tr.x)))._round()),!(tr.y<V&&Cr.y<V)&&(tr.y<V?tr=new i(tr.x+(Cr.x-tr.x)*((V-tr.y)/(Cr.y-tr.y)),V)._round():Cr.y<V&&(Cr=new i(tr.x+(Cr.x-tr.x)*((V-tr.y)/(Cr.y-tr.y)),V)._round()),!(tr.x>=ne&&Cr.x>=ne)&&(tr.x>=ne?tr=new i(ne,tr.y+(Cr.y-tr.y)*((ne-tr.x)/(Cr.x-tr.x)))._round():Cr.x>=ne&&(Cr=new i(ne,tr.y+(Cr.y-tr.y)*((ne-tr.x)/(Cr.x-tr.x)))._round()),!(tr.y>=xe&&Cr.y>=xe)&&(tr.y>=xe?tr=new i(tr.x+(Cr.x-tr.x)*((xe-tr.y)/(Cr.y-tr.y)),xe)._round():Cr.y>=xe&&(Cr=new i(tr.x+(Cr.x-tr.x)*((xe-tr.y)/(Cr.y-tr.y)),xe)._round()),(!Rt||!tr.equals(Rt[Rt.length-1]))&&(Rt=[tr],Ie.push(Rt)),Rt.push(Cr)))))}return Ie}var Og=Rc;function AC(C,k,V,ne){var xe=[],Ie=C.image,Ve=Ie.pixelRatio,ht=Ie.paddedRect.w-2*Og,Rt=Ie.paddedRect.h-2*Og,Ht=C.right-C.left,tr=C.bottom-C.top,Cr=Ie.stretchX||[[0,ht]],Xr=Ie.stretchY||[[0,Rt]],qr=function(Zl,Ol){return Zl+Ol[1]-Ol[0]},pa=Cr.reduce(qr,0),ja=Xr.reduce(qr,0),Ei=ht-pa,li=Rt-ja,en=0,Ni=pa,Qi=0,ln=ja,xn=0,qn=Ei,Nn=0,Mo=li;if(Ie.content&&ne){var no=Ie.content;en=lb(Cr,0,no[0]),Qi=lb(Xr,0,no[1]),Ni=lb(Cr,no[0],no[2]),ln=lb(Xr,no[1],no[3]),xn=no[0]-en,Nn=no[1]-Qi,qn=no[2]-no[0]-Ni,Mo=no[3]-no[1]-ln}var yo=function(Zl,Ol,$u,hc){var cf=ub(Zl.stretch-en,Ni,Ht,C.left),yf=cb(Zl.fixed-xn,qn,Zl.stretch,pa),dh=ub(Ol.stretch-Qi,ln,tr,C.top),Wf=cb(Ol.fixed-Nn,Mo,Ol.stretch,ja),tp=ub($u.stretch-en,Ni,Ht,C.left),rp=cb($u.fixed-xn,qn,$u.stretch,pa),vh=ub(hc.stretch-Qi,ln,tr,C.top),mp=cb(hc.fixed-Nn,Mo,hc.stretch,ja),gp=new i(cf,dh),rh=new i(tp,dh),yp=new i(tp,vh),od=new i(cf,vh),Uv=new i(yf/Ve,Wf/Ve),ym=new i(rp/Ve,mp/Ve),_m=k*Math.PI/180;if(_m){var xm=Math.sin(_m),Hg=Math.cos(_m),wd=[Hg,-xm,xm,Hg];gp._matMult(wd),rh._matMult(wd),od._matMult(wd),yp._matMult(wd)}var mb=Zl.stretch+Zl.fixed,xA=$u.stretch+$u.fixed,gb=Ol.stretch+Ol.fixed,bA=hc.stretch+hc.fixed,pd={x:Ie.paddedRect.x+Og+mb,y:Ie.paddedRect.y+Og+gb,w:xA-mb,h:bA-gb},Wg=qn/Ve/Ht,yb=Mo/Ve/tr;return{tl:gp,tr:rh,bl:od,br:yp,tex:pd,writingMode:void 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Rt=ne.layout.get(\"text-rotate\").evaluate(Ie,{})*Math.PI/180,Ht=[],tr=0,Cr=k.positionedLines;tr<Cr.length;tr+=1)for(var Xr=Cr[tr],qr=0,pa=Xr.positionedGlyphs;qr<pa.length;qr+=1){var ja=pa[qr];if(ja.rect){var Ei=ja.rect||{},li=1,en=hd+li,Ni=!0,Qi=1,ln=0,xn=(xe||ht)&&ja.vertical,qn=ja.metrics.advance*ja.scale/2;if(ht&&k.verticalizable){var Nn=(ja.scale-1)*rn,Mo=(rn-ja.metrics.width*ja.scale)/2;ln=Xr.lineOffset/2-(ja.imageName?-Mo:Nn)}if(ja.imageName){var no=Ve[ja.imageName];Ni=no.sdf,Qi=no.pixelRatio,en=Rc/Qi}var yo=xe?[ja.x+qn,ja.y]:[0,0],Ms=xe?[0,0]:[ja.x+qn+V[0],ja.y+V[1]-ln],Eo=[0,0];xn&&(Eo=Ms,Ms=[0,0]);var Ro=(ja.metrics.left-en)*ja.scale-qn+Ms[0],Zs=(-ja.metrics.top-en)*ja.scale+Ms[1],_s=Ro+Ei.w*ja.scale/Qi,Wl=Zs+Ei.h*ja.scale/Qi,zu=new i(Ro,Zs),Xl=new i(_s,Zs),Zl=new i(Ro,Wl),Ol=new i(_s,Wl);if(xn){var $u=new i(-qn,qn-vm),hc=-Math.PI/2,cf=rn/2-qn,yf=ja.imageName?cf:0,dh=new i(5-vm-cf,-yf),Wf=new(Function.prototype.bind.apply(i,[null].concat(Eo)));zu._rotateAround(hc,$u)._add(dh)._add(Wf),Xl._rotateAround(hc,$u)._add(dh)._add(Wf),Zl._rotateAround(hc,$u)._add(dh)._add(Wf),Ol._rotateAround(hc,$u)._add(dh)._add(Wf)}if(Rt){var tp=Math.sin(Rt),rp=Math.cos(Rt),vh=[rp,-tp,tp,rp];zu._matMult(vh),Xl._matMult(vh),Zl._matMult(vh),Ol._matMult(vh)}var mp=new i(0,0),gp=new i(0,0),rh=0,yp=0;Ht.push({tl:zu,tr:Xl,bl:Zl,br:Ol,tex:Ei,writingMode:k.writingMode,glyphOffset:yo,sectionIndex:ja.sectionIndex,isSDF:Ni,pixelOffsetTL:mp,pixelOffsetBR:gp,minFontScaleX:rh,minFontScaleY:yp})}}return Ht}var fb=function(k,V,ne,xe,Ie,Ve,ht,Rt,Ht,tr){if(this.boxStartIndex=k.length,Ht){var Cr=Ve.top,Xr=Ve.bottom,qr=Ve.collisionPadding;qr&&(Cr-=qr[1],Xr+=qr[3]);var pa=Xr-Cr;pa>0&&(pa=Math.max(10,pa),this.circleDiameter=pa)}else{var ja=Ve.top*ht-Rt,Ei=Ve.bottom*ht+Rt,li=Ve.left*ht-Rt,en=Ve.right*ht+Rt,Ni=Ve.collisionPadding;if(Ni&&(li-=Ni[0]*ht,ja-=Ni[1]*ht,en+=Ni[2]*ht,Ei+=Ni[3]*ht),tr){var Qi=new i(li,ja),ln=new i(en,ja),xn=new i(li,Ei),qn=new i(en,Ei),Nn=tr*Math.PI/180;Qi._rotate(Nn),ln._rotate(Nn),xn._rotate(Nn),qn._rotate(Nn),li=Math.min(Qi.x,ln.x,xn.x,qn.x),en=Math.max(Qi.x,ln.x,xn.x,qn.x),ja=Math.min(Qi.y,ln.y,xn.y,qn.y),Ei=Math.max(Qi.y,ln.y,xn.y,qn.y)}k.emplaceBack(V.x,V.y,li,ja,en,Ei,ne,xe,Ie)}this.boxEndIndex=k.length},Bg=function(k,V){if(k===void 0&&(k=[]),V===void 0&&(V=xW),this.data=k,this.length=this.data.length,this.compare=V,this.length>0)for(var ne=(this.length>>1)-1;ne>=0;ne--)this._down(ne)};Bg.prototype.push=function(k){this.data.push(k),this.length++,this._up(this.length-1)},Bg.prototype.pop=function(){if(this.length!==0){var k=this.data[0],V=this.data.pop();return this.length--,this.length>0&&(this.data[0]=V,this._down(0)),k}},Bg.prototype.peek=function(){return this.data[0]},Bg.prototype._up=function(k){for(var V=this,ne=V.data,xe=V.compare,Ie=ne[k];k>0;){var Ve=k-1>>1,ht=ne[Ve];if(xe(Ie,ht)>=0)break;ne[k]=ht,k=Ve}ne[k]=Ie},Bg.prototype._down=function(k){for(var V=this,ne=V.data,xe=V.compare,Ie=this.length>>1,Ve=ne[k];k<Ie;){var ht=(k<<1)+1,Rt=ne[ht],Ht=ht+1;if(Ht<this.length&&xe(ne[Ht],Rt)<0&&(ht=Ht,Rt=ne[Ht]),xe(Rt,Ve)>=0)break;ne[k]=Rt,k=ht}ne[k]=Ve};function xW(C,k){return C<k?-1:C>k?1:0}function bW(C,k,V){k===void 0&&(k=1),V===void 0&&(V=!1);for(var ne=1/0,xe=1/0,Ie=-1/0,Ve=-1/0,ht=C[0],Rt=0;Rt<ht.length;Rt++){var Ht=ht[Rt];(!Rt||Ht.x<ne)&&(ne=Ht.x),(!Rt||Ht.y<xe)&&(xe=Ht.y),(!Rt||Ht.x>Ie)&&(Ie=Ht.x),(!Rt||Ht.y>Ve)&&(Ve=Ht.y)}var tr=Ie-ne,Cr=Ve-xe,Xr=Math.min(tr,Cr),qr=Xr/2,pa=new Bg([],wW);if(Xr===0)return new i(ne,xe);for(var ja=ne;ja<Ie;ja+=Xr)for(var Ei=xe;Ei<Ve;Ei+=Xr)pa.push(new Ng(ja+qr,Ei+qr,qr,C));for(var li=AW(C),en=pa.length;pa.length;){var Ni=pa.pop();(Ni.d>li.d||!li.d)&&(li=Ni,V&&console.log(\"found best %d after %d probes\",Math.round(1e4*Ni.d)/1e4,en)),!(Ni.max-li.d<=k)&&(qr=Ni.h/2,pa.push(new Ng(Ni.p.x-qr,Ni.p.y-qr,qr,C)),pa.push(new Ng(Ni.p.x+qr,Ni.p.y-qr,qr,C)),pa.push(new Ng(Ni.p.x-qr,Ni.p.y+qr,qr,C)),pa.push(new Ng(Ni.p.x+qr,Ni.p.y+qr,qr,C)),en+=4)}return V&&(console.log(\"num probes: \"+en),console.log(\"best distance: \"+li.d)),li.p}function wW(C,k){return k.max-C.max}function Ng(C,k,V,ne){this.p=new i(C,k),this.h=V,this.d=TW(this.p,ne),this.max=this.d+this.h*Math.SQRT2}function TW(C,k){for(var V=!1,ne=1/0,xe=0;xe<k.length;xe++)for(var Ie=k[xe],Ve=0,ht=Ie.length,Rt=ht-1;Ve<ht;Rt=Ve++){var Ht=Ie[Ve],tr=Ie[Rt];Ht.y>C.y!=tr.y>C.y&&C.x<(tr.x-Ht.x)*(C.y-Ht.y)/(tr.y-Ht.y)+Ht.x&&(V=!V),ne=Math.min(ne,qd(C,Ht,tr))}return(V?1:-1)*Math.sqrt(ne)}function AW(C){for(var k=0,V=0,ne=0,xe=C[0],Ie=0,Ve=xe.length,ht=Ve-1;Ie<Ve;ht=Ie++){var Rt=xe[Ie],Ht=xe[ht],tr=Rt.x*Ht.y-Ht.x*Rt.y;V+=(Rt.x+Ht.x)*tr,ne+=(Rt.y+Ht.y)*tr,k+=tr*3}return new Ng(V/k,ne/k,0,C)}var Ug=7,pA=Number.POSITIVE_INFINITY;function MC(C,k){function V(xe,Ie){var Ve=0,ht=0;Ie<0&&(Ie=0);var Rt=Ie/Math.sqrt(2);switch(xe){case\"top-right\":case\"top-left\":ht=Rt-Ug;break;case\"bottom-right\":case\"bottom-left\":ht=-Rt+Ug;break;case\"bottom\":ht=-Ie+Ug;break;case\"top\":ht=Ie-Ug;break}switch(xe){case\"top-right\":case\"bottom-right\":Ve=-Rt;break;case\"top-left\":case\"bottom-left\":Ve=Rt;break;case\"left\":Ve=Ie;break;case\"right\":Ve=-Ie;break}return[Ve,ht]}function ne(xe,Ie,Ve){var ht=0,Rt=0;switch(Ie=Math.abs(Ie),Ve=Math.abs(Ve),xe){case\"top-right\":case\"top-left\":case\"top\":Rt=Ve-Ug;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":Rt=-Ve+Ug;break}switch(xe){case\"top-right\":case\"bottom-right\":case\"right\":ht=-Ie;break;case\"top-left\":case\"bottom-left\":case\"left\":ht=Ie;break}return[ht,Rt]}return k[1]!==pA?ne(C,k[0],k[1]):V(C,k[0])}function SW(C,k,V,ne,xe,Ie,Ve){C.createArrays();var ht=512*C.overscaling;C.tilePixelRatio=pi/ht,C.compareText={},C.iconsNeedLinear=!1;var Rt=C.layers[0].layout,Ht=C.layers[0]._unevaluatedLayout._values,tr={};if(C.textSizeData.kind===\"composite\"){var Cr=C.textSizeData,Xr=Cr.minZoom,qr=Cr.maxZoom;tr.compositeTextSizes=[Ht[\"text-size\"].possiblyEvaluate(new gn(Xr),Ve),Ht[\"text-size\"].possiblyEvaluate(new gn(qr),Ve)]}if(C.iconSizeData.kind===\"composite\"){var pa=C.iconSizeData,ja=pa.minZoom,Ei=pa.maxZoom;tr.compositeIconSizes=[Ht[\"icon-size\"].possiblyEvaluate(new gn(ja),Ve),Ht[\"icon-size\"].possiblyEvaluate(new gn(Ei),Ve)]}tr.layoutTextSize=Ht[\"text-size\"].possiblyEvaluate(new gn(C.zoom+1),Ve),tr.layoutIconSize=Ht[\"icon-size\"].possiblyEvaluate(new gn(C.zoom+1),Ve),tr.textMaxSize=Ht[\"text-size\"].possiblyEvaluate(new gn(18));for(var li=Rt.get(\"text-line-height\")*rn,en=Rt.get(\"text-rotation-alignment\")===\"map\"&&Rt.get(\"symbol-placement\")!==\"point\",Ni=Rt.get(\"text-keep-upright\"),Qi=Rt.get(\"text-size\"),ln=function(){var Nn=qn[xn],Mo=Rt.get(\"text-font\").evaluate(Nn,{},Ve).join(\",\"),no=Qi.evaluate(Nn,{},Ve),yo=tr.layoutTextSize.evaluate(Nn,{},Ve),Ms=tr.layoutIconSize.evaluate(Nn,{},Ve),Eo={horizontal:{},vertical:void 0},Ro=Nn.text,Zs=[0,0];if(Ro){var _s=Ro.toString(),Wl=Rt.get(\"text-letter-spacing\").evaluate(Nn,{},Ve)*rn,zu=Vr(_s)?Wl:0,Xl=Rt.get(\"text-anchor\").evaluate(Nn,{},Ve),Zl=Rt.get(\"text-variable-anchor\");if(!Zl){var Ol=Rt.get(\"text-radial-offset\").evaluate(Nn,{},Ve);Ol?Zs=MC(Xl,[Ol*rn,pA]):Zs=Rt.get(\"text-offset\").evaluate(Nn,{},Ve).map(function(Uv){return Uv*rn})}var $u=en?\"center\":Rt.get(\"text-justify\").evaluate(Nn,{},Ve),hc=Rt.get(\"symbol-placement\"),cf=hc===\"point\"?Rt.get(\"text-max-width\").evaluate(Nn,{},Ve)*rn:0,yf=function(){C.allowVerticalPlacement&&gr(_s)&&(Eo.vertical=zg(Ro,k,V,xe,Mo,cf,li,Xl,\"left\",zu,Zs,dp.vertical,!0,hc,yo,no))};if(!en&&Zl){for(var dh=$u===\"auto\"?Zl.map(function(Uv){return dA(Uv)}):[$u],Wf=!1,tp=0;tp<dh.length;tp++){var rp=dh[tp];if(!Eo.horizontal[rp])if(Wf)Eo.horizontal[rp]=Eo.horizontal[0];else{var vh=zg(Ro,k,V,xe,Mo,cf,li,\"center\",rp,zu,Zs,dp.horizontal,!1,hc,yo,no);vh&&(Eo.horizontal[rp]=vh,Wf=vh.positionedLines.length===1)}}yf()}else{$u===\"auto\"&&($u=dA(Xl));var mp=zg(Ro,k,V,xe,Mo,cf,li,Xl,$u,zu,Zs,dp.horizontal,!1,hc,yo,no);mp&&(Eo.horizontal[$u]=mp),yf(),gr(_s)&&en&&Ni&&(Eo.vertical=zg(Ro,k,V,xe,Mo,cf,li,Xl,$u,zu,Zs,dp.vertical,!1,hc,yo,no))}}var gp=void 0,rh=!1;if(Nn.icon&&Nn.icon.name){var yp=ne[Nn.icon.name];yp&&(gp=Zp(xe[Nn.icon.name],Rt.get(\"icon-offset\").evaluate(Nn,{},Ve),Rt.get(\"icon-anchor\").evaluate(Nn,{},Ve)),rh=yp.sdf,C.sdfIcons===void 0?C.sdfIcons=yp.sdf:C.sdfIcons!==yp.sdf&&U(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),(yp.pixelRatio!==C.pixelRatio||Rt.get(\"icon-rotate\").constantOr(1)!==0)&&(C.iconsNeedLinear=!0))}var od=CC(Eo.horizontal)||Eo.vertical;C.iconsInText=od?od.iconsInText:!1,(od||gp)&&MW(C,Nn,Eo,gp,ne,tr,yo,Ms,Zs,rh,Ve)},xn=0,qn=C.features;xn<qn.length;xn+=1)ln();Ie&&C.generateCollisionDebugBuffers()}function dA(C){switch(C){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function MW(C,k,V,ne,xe,Ie,Ve,ht,Rt,Ht,tr){var Cr=Ie.textMaxSize.evaluate(k,{});Cr===void 0&&(Cr=Ve);var Xr=C.layers[0].layout,qr=Xr.get(\"icon-offset\").evaluate(k,{},tr),pa=CC(V.horizontal),ja=24,Ei=Ve/ja,li=C.tilePixelRatio*Ei,en=C.tilePixelRatio*Cr/ja,Ni=C.tilePixelRatio*ht,Qi=C.tilePixelRatio*Xr.get(\"symbol-spacing\"),ln=Xr.get(\"text-padding\")*C.tilePixelRatio,xn=Xr.get(\"icon-padding\")*C.tilePixelRatio,qn=Xr.get(\"text-max-angle\")/180*Math.PI,Nn=Xr.get(\"text-rotation-alignment\")===\"map\"&&Xr.get(\"symbol-placement\")!==\"point\",Mo=Xr.get(\"icon-rotation-alignment\")===\"map\"&&Xr.get(\"symbol-placement\")!==\"point\",no=Xr.get(\"symbol-placement\"),yo=Qi/2,Ms=Xr.get(\"icon-text-fit\"),Eo;ne&&Ms!==\"none\"&&(C.allowVerticalPlacement&&V.vertical&&(Eo=dv(ne,V.vertical,Ms,Xr.get(\"icon-text-fit-padding\"),qr,Ei)),pa&&(ne=dv(ne,pa,Ms,Xr.get(\"icon-text-fit-padding\"),qr,Ei)));var Ro=function(Hg,wd){wd.x<0||wd.x>=pi||wd.y<0||wd.y>=pi||EW(C,wd,Hg,V,ne,xe,Eo,C.layers[0],C.collisionBoxArray,k.index,k.sourceLayerIndex,C.index,li,ln,Nn,Rt,Ni,xn,Mo,qr,k,Ie,Ht,tr,Ve)};if(no===\"line\")for(var Zs=0,_s=TC(k.geometry,0,0,pi,pi);Zs<_s.length;Zs+=1)for(var Wl=_s[Zs],zu=yW(Wl,Qi,qn,V.vertical||pa,ne,ja,en,C.overscaling,pi),Xl=0,Zl=zu;Xl<Zl.length;Xl+=1){var Ol=Zl[Xl],$u=pa;(!$u||!CW(C,$u.text,yo,Ol))&&Ro(Wl,Ol)}else if(no===\"line-center\")for(var hc=0,cf=k.geometry;hc<cf.length;hc+=1){var yf=cf[hc];if(yf.length>1){var dh=gW(yf,qn,V.vertical||pa,ne,ja,en);dh&&Ro(yf,dh)}}else if(k.type===\"Polygon\")for(var Wf=0,tp=Cg(k.geometry,0);Wf<tp.length;Wf+=1){var rp=tp[Wf],vh=bW(rp,16);Ro(rp[0],new ep(vh.x,vh.y,0))}else if(k.type===\"LineString\")for(var mp=0,gp=k.geometry;mp<gp.length;mp+=1){var rh=gp[mp];Ro(rh,new ep(rh[0].x,rh[0].y,0))}else if(k.type===\"Point\")for(var yp=0,od=k.geometry;yp<od.length;yp+=1)for(var Uv=od[yp],ym=0,_m=Uv;ym<_m.length;ym+=1){var xm=_m[ym];Ro([xm],new ep(xm.x,xm.y,0))}}var Q1=255,mm=Q1*Bh;function EC(C,k,V,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa){var ja=_W(k,V,ht,xe,Ie,Ve,ne,C.allowVerticalPlacement),Ei=C.textSizeData,li=null;Ei.kind===\"source\"?(li=[Bh*xe.layout.get(\"text-size\").evaluate(Ve,{})],li[0]>mm&&U(C.layerIds[0]+': Value for \"text-size\" is >= '+Q1+'. Reduce your \"text-size\".')):Ei.kind===\"composite\"&&(li=[Bh*qr.compositeTextSizes[0].evaluate(Ve,{},pa),Bh*qr.compositeTextSizes[1].evaluate(Ve,{},pa)],(li[0]>mm||li[1]>mm)&&U(C.layerIds[0]+': Value for \"text-size\" is >= '+Q1+'. Reduce your \"text-size\".')),C.addSymbols(C.text,ja,li,ht,Ie,Ve,Ht,k,Rt.lineStartIndex,Rt.lineLength,Xr,pa);for(var en=0,Ni=tr;en<Ni.length;en+=1){var Qi=Ni[en];Cr[Qi]=C.text.placedSymbolArray.length-1}return ja.length*4}function CC(C){for(var k in C)return C[k];return null}function EW(C,k,V,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr,qr,pa,ja,Ei,li,en,Ni,Qi,ln,xn,qn,Nn){var Mo,no=C.addToLineVertexArray(k,V),yo,Ms,Eo,Ro,Zs=0,_s=0,Wl=0,zu=0,Xl=-1,Zl=-1,Ol={},$u=me(\"\"),hc=0,cf=0;if(ht._unevaluatedLayout.getValue(\"text-radial-offset\")===void 0?(Mo=ht.layout.get(\"text-offset\").evaluate(Qi,{},qn).map(function(r_){return r_*rn}),hc=Mo[0],cf=Mo[1]):(hc=ht.layout.get(\"text-radial-offset\").evaluate(Qi,{},qn)*rn,cf=pA),C.allowVerticalPlacement&&ne.vertical){var yf=ht.layout.get(\"text-rotate\").evaluate(Qi,{},qn),dh=yf+90,Wf=ne.vertical;Eo=new fb(Rt,k,Ht,tr,Cr,Wf,Xr,qr,pa,dh),Ve&&(Ro=new fb(Rt,k,Ht,tr,Cr,Ve,Ei,li,pa,dh))}if(xe){var tp=ht.layout.get(\"icon-rotate\").evaluate(Qi,{}),rp=ht.layout.get(\"icon-text-fit\")!==\"none\",vh=AC(xe,tp,xn,rp),mp=Ve?AC(Ve,tp,xn,rp):void 0;Ms=new fb(Rt,k,Ht,tr,Cr,xe,Ei,li,!1,tp),Zs=vh.length*4;var gp=C.iconSizeData,rh=null;gp.kind===\"source\"?(rh=[Bh*ht.layout.get(\"icon-size\").evaluate(Qi,{})],rh[0]>mm&&U(C.layerIds[0]+': Value for \"icon-size\" is >= '+Q1+'. Reduce your \"icon-size\".')):gp.kind===\"composite\"&&(rh=[Bh*ln.compositeIconSizes[0].evaluate(Qi,{},qn),Bh*ln.compositeIconSizes[1].evaluate(Qi,{},qn)],(rh[0]>mm||rh[1]>mm)&&U(C.layerIds[0]+': Value for \"icon-size\" is >= '+Q1+'. Reduce your \"icon-size\".')),C.addSymbols(C.icon,vh,rh,Ni,en,Qi,!1,k,no.lineStartIndex,no.lineLength,-1,qn),Xl=C.icon.placedSymbolArray.length-1,mp&&(_s=mp.length*4,C.addSymbols(C.icon,mp,rh,Ni,en,Qi,dp.vertical,k,no.lineStartIndex,no.lineLength,-1,qn),Zl=C.icon.placedSymbolArray.length-1)}for(var yp in ne.horizontal){var od=ne.horizontal[yp];if(!yo){$u=me(od.text);var Uv=ht.layout.get(\"text-rotate\").evaluate(Qi,{},qn);yo=new fb(Rt,k,Ht,tr,Cr,od,Xr,qr,pa,Uv)}var ym=od.positionedLines.length===1;if(Wl+=EC(C,k,od,Ie,ht,pa,Qi,ja,no,ne.vertical?dp.horizontal:dp.horizontalOnly,ym?Object.keys(ne.horizontal):[yp],Ol,Xl,ln,qn),ym)break}ne.vertical&&(zu+=EC(C,k,ne.vertical,Ie,ht,pa,Qi,ja,no,dp.vertical,[\"vertical\"],Ol,Zl,ln,qn));var _m=yo?yo.boxStartIndex:C.collisionBoxArray.length,xm=yo?yo.boxEndIndex:C.collisionBoxArray.length,Hg=Eo?Eo.boxStartIndex:C.collisionBoxArray.length,wd=Eo?Eo.boxEndIndex:C.collisionBoxArray.length,mb=Ms?Ms.boxStartIndex:C.collisionBoxArray.length,xA=Ms?Ms.boxEndIndex:C.collisionBoxArray.length,gb=Ro?Ro.boxStartIndex:C.collisionBoxArray.length,bA=Ro?Ro.boxEndIndex:C.collisionBoxArray.length,pd=-1,Wg=function(r_,GC){return r_&&r_.circleDiameter?Math.max(r_.circleDiameter,GC):GC};pd=Wg(yo,pd),pd=Wg(Eo,pd),pd=Wg(Ms,pd),pd=Wg(Ro,pd);var yb=pd>-1?1:0;yb&&(pd*=Nn/rn),C.glyphOffsetArray.length>=Du.MAX_GLYPHS&&U(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),Qi.sortKey!==void 0&&C.addToSortKeyRanges(C.symbolInstances.length,Qi.sortKey),C.symbolInstances.emplaceBack(k.x,k.y,Ol.right>=0?Ol.right:-1,Ol.center>=0?Ol.center:-1,Ol.left>=0?Ol.left:-1,Ol.vertical||-1,Xl,Zl,$u,_m,xm,Hg,wd,mb,xA,gb,bA,Ht,Wl,zu,Zs,_s,yb,0,Xr,hc,cf,pd)}function CW(C,k,V,ne){var xe=C.compareText;if(!(k in xe))xe[k]=[];else for(var Ie=xe[k],Ve=Ie.length-1;Ve>=0;Ve--)if(ne.dist(Ie[Ve])<V)return!0;return xe[k].push(ne),!1}var kW=Xd.VectorTileFeature.types,LW=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function hb(C,k,V,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr){var qr=ht?Math.min(mm,Math.round(ht[0])):0,pa=ht?Math.min(mm,Math.round(ht[1])):0;C.emplaceBack(k,V,Math.round(ne*32),Math.round(xe*32),Ie,Ve,(qr<<1)+(Rt?1:0),pa,Ht*16,tr*16,Cr*256,Xr*256)}function vA(C,k,V){C.emplaceBack(k.x,k.y,V),C.emplaceBack(k.x,k.y,V),C.emplaceBack(k.x,k.y,V),C.emplaceBack(k.x,k.y,V)}function PW(C){for(var k=0,V=C.sections;k<V.length;k+=1){var ne=V[k];if(vi(ne.text))return!0}return!1}var jg=function(k){this.layoutVertexArray=new hn,this.indexArray=new Ki,this.programConfigurations=k,this.segments=new Lo,this.dynamicLayoutVertexArray=new Za,this.opacityVertexArray=new Va,this.placedSymbolArray=new fs};jg.prototype.isEmpty=function(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0},jg.prototype.upload=function(k,V,ne,xe){this.isEmpty()||(ne&&(this.layoutVertexBuffer=k.createVertexBuffer(this.layoutVertexArray,ke.members),this.indexBuffer=k.createIndexBuffer(this.indexArray,V),this.dynamicLayoutVertexBuffer=k.createVertexBuffer(this.dynamicLayoutVertexArray,je.members,!0),this.opacityVertexBuffer=k.createVertexBuffer(this.opacityVertexArray,LW,!0),this.opacityVertexBuffer.itemSize=1),(ne||xe)&&this.programConfigurations.upload(k))},jg.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},de(\"SymbolBuffers\",jg);var e_=function(k,V,ne){this.layoutVertexArray=new k,this.layoutAttributes=V,this.indexArray=new ne,this.segments=new Lo,this.collisionVertexArray=new Ti};e_.prototype.upload=function(k){this.layoutVertexBuffer=k.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=k.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=k.createVertexBuffer(this.collisionVertexArray,ft.members,!0)},e_.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},de(\"CollisionBuffers\",e_);var Du=function(k){this.collisionBoxArray=k.collisionBoxArray,this.zoom=k.zoom,this.overscaling=k.overscaling,this.layers=k.layers,this.layerIds=this.layers.map(function(Rt){return Rt.id}),this.index=k.index,this.pixelRatio=k.pixelRatio,this.sourceLayerIndex=k.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Pv([]),this.placementViewportMatrix=Pv([]);var V=this.layers[0],ne=V._unevaluatedLayout._values;this.textSizeData=nd(this.zoom,ne[\"text-size\"]),this.iconSizeData=nd(this.zoom,ne[\"icon-size\"]);var xe=this.layers[0].layout,Ie=xe.get(\"symbol-sort-key\"),Ve=xe.get(\"symbol-z-order\");this.canOverlap=xe.get(\"text-allow-overlap\")||xe.get(\"icon-allow-overlap\")||xe.get(\"text-ignore-placement\")||xe.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=Ve!==\"viewport-y\"&&Ie.constantOr(1)!==void 0;var ht=Ve===\"viewport-y\"||Ve===\"auto\"&&!this.sortFeaturesByKey;this.sortFeaturesByY=ht&&this.canOverlap,xe.get(\"symbol-placement\")===\"point\"&&(this.writingModes=xe.get(\"text-writing-mode\").map(function(Rt){return dp[Rt]})),this.stateDependentLayerIds=this.layers.filter(function(Rt){return Rt.isStateDependent()}).map(function(Rt){return Rt.id}),this.sourceID=k.sourceID};Du.prototype.createArrays=function(){this.text=new jg(new Xa(this.layers,this.zoom,function(k){return/^text/.test(k)})),this.icon=new jg(new Xa(this.layers,this.zoom,function(k){return/^icon/.test(k)})),this.glyphOffsetArray=new Ql,this.lineVertexArray=new Fs,this.symbolInstances=new El},Du.prototype.calculateGlyphDependencies=function(k,V,ne,xe,Ie){for(var Ve=0;Ve<k.length;Ve++)if(V[k.charCodeAt(Ve)]=!0,(ne||xe)&&Ie){var ht=xi[k.charAt(Ve)];ht&&(V[ht.charCodeAt(0)]=!0)}},Du.prototype.populate=function(k,V,ne){var xe=this.layers[0],Ie=xe.layout,Ve=Ie.get(\"text-font\"),ht=Ie.get(\"text-field\"),Rt=Ie.get(\"icon-image\"),Ht=(ht.value.kind!==\"constant\"||ht.value.value instanceof nu&&!ht.value.value.isEmpty()||ht.value.value.toString().length>0)&&(Ve.value.kind!==\"constant\"||Ve.value.value.length>0),tr=Rt.value.kind!==\"constant\"||!!Rt.value.value||Object.keys(Rt.parameters).length>0,Cr=Ie.get(\"symbol-sort-key\");if(this.features=[],!(!Ht&&!tr)){for(var Xr=V.iconDependencies,qr=V.glyphDependencies,pa=V.availableImages,ja=new gn(this.zoom),Ei=0,li=k;Ei<li.length;Ei+=1){var en=li[Ei],Ni=en.feature,Qi=en.id,ln=en.index,xn=en.sourceLayerIndex,qn=xe._featureFilter.needGeometry,Nn=xo(Ni,qn);if(xe._featureFilter.filter(ja,Nn,ne)){qn||(Nn.geometry=cn(Ni));var Mo=void 0;if(Ht){var no=xe.getValueAndResolveTokens(\"text-field\",Nn,ne,pa),yo=nu.factory(no);PW(yo)&&(this.hasRTLText=!0),(!this.hasRTLText||$o()===\"unavailable\"||this.hasRTLText&&el.isParsed())&&(Mo=Qa(yo,xe,Nn))}var Ms=void 0;if(tr){var Eo=xe.getValueAndResolveTokens(\"icon-image\",Nn,ne,pa);Eo instanceof Ll?Ms=Eo:Ms=Ll.fromString(Eo)}if(!(!Mo&&!Ms)){var Ro=this.sortFeaturesByKey?Cr.evaluate(Nn,{},ne):void 0,Zs={id:Qi,text:Mo,icon:Ms,index:ln,sourceLayerIndex:xn,geometry:Nn.geometry,properties:Ni.properties,type:kW[Ni.type],sortKey:Ro};if(this.features.push(Zs),Ms&&(Xr[Ms.name]=!0),Mo){var _s=Ve.evaluate(Nn,{},ne).join(\",\"),Wl=Ie.get(\"text-rotation-alignment\")===\"map\"&&Ie.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(dp.vertical)>=0;for(var zu=0,Xl=Mo.sections;zu<Xl.length;zu+=1){var Zl=Xl[zu];if(Zl.image)Xr[Zl.image.name]=!0;else{var Ol=gr(Mo.toString()),$u=Zl.fontStack||_s,hc=qr[$u]=qr[$u]||{};this.calculateGlyphDependencies(Zl.text,hc,Wl,this.allowVerticalPlacement,Ol)}}}}}}Ie.get(\"symbol-placement\")===\"line\"&&(this.features=Yi(this.features)),this.sortFeaturesByKey&&this.features.sort(function(cf,yf){return cf.sortKey-yf.sortKey})}},Du.prototype.update=function(k,V,ne){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(k,V,this.layers,ne),this.icon.programConfigurations.updatePaintArrays(k,V,this.layers,ne))},Du.prototype.isEmpty=function(){return this.symbolInstances.length===0&&!this.hasRTLText},Du.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Du.prototype.upload=function(k){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(k),this.iconCollisionBox.upload(k)),this.text.upload(k,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(k,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Du.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Du.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Du.prototype.addToLineVertexArray=function(k,V){var ne=this.lineVertexArray.length;if(k.segment!==void 0){for(var xe=k.dist(V[k.segment+1]),Ie=k.dist(V[k.segment]),Ve={},ht=k.segment+1;ht<V.length;ht++)Ve[ht]={x:V[ht].x,y:V[ht].y,tileUnitDistanceFromAnchor:xe},ht<V.length-1&&(xe+=V[ht+1].dist(V[ht]));for(var Rt=k.segment||0;Rt>=0;Rt--)Ve[Rt]={x:V[Rt].x,y:V[Rt].y,tileUnitDistanceFromAnchor:Ie},Rt>0&&(Ie+=V[Rt-1].dist(V[Rt]));for(var Ht=0;Ht<V.length;Ht++){var tr=Ve[Ht];this.lineVertexArray.emplaceBack(tr.x,tr.y,tr.tileUnitDistanceFromAnchor)}}return{lineStartIndex:ne,lineLength:this.lineVertexArray.length-ne}},Du.prototype.addSymbols=function(k,V,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr,Xr){for(var qr=k.indexArray,pa=k.layoutVertexArray,ja=k.segments.prepareSegment(4*V.length,pa,qr,this.canOverlap?Ve.sortKey:void 0),Ei=this.glyphOffsetArray.length,li=ja.vertexLength,en=this.allowVerticalPlacement&&ht===dp.vertical?Math.PI/2:0,Ni=Ve.text&&Ve.text.sections,Qi=0;Qi<V.length;Qi++){var ln=V[Qi],xn=ln.tl,qn=ln.tr,Nn=ln.bl,Mo=ln.br,no=ln.tex,yo=ln.pixelOffsetTL,Ms=ln.pixelOffsetBR,Eo=ln.minFontScaleX,Ro=ln.minFontScaleY,Zs=ln.glyphOffset,_s=ln.isSDF,Wl=ln.sectionIndex,zu=ja.vertexLength,Xl=Zs[1];hb(pa,Rt.x,Rt.y,xn.x,Xl+xn.y,no.x,no.y,ne,_s,yo.x,yo.y,Eo,Ro),hb(pa,Rt.x,Rt.y,qn.x,Xl+qn.y,no.x+no.w,no.y,ne,_s,Ms.x,yo.y,Eo,Ro),hb(pa,Rt.x,Rt.y,Nn.x,Xl+Nn.y,no.x,no.y+no.h,ne,_s,yo.x,Ms.y,Eo,Ro),hb(pa,Rt.x,Rt.y,Mo.x,Xl+Mo.y,no.x+no.w,no.y+no.h,ne,_s,Ms.x,Ms.y,Eo,Ro),vA(k.dynamicLayoutVertexArray,Rt,en),qr.emplaceBack(zu,zu+1,zu+2),qr.emplaceBack(zu+1,zu+2,zu+3),ja.vertexLength+=4,ja.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(Zs[0]),(Qi===V.length-1||Wl!==V[Qi+1].sectionIndex)&&k.programConfigurations.populatePaintArrays(pa.length,Ve,Ve.index,{},Xr,Ni&&Ni[Wl])}k.placedSymbolArray.emplaceBack(Rt.x,Rt.y,Ei,this.glyphOffsetArray.length-Ei,li,Ht,tr,Rt.segment,ne?ne[0]:0,ne?ne[1]:0,xe[0],xe[1],ht,0,!1,0,Cr)},Du.prototype._addCollisionDebugVertex=function(k,V,ne,xe,Ie,Ve){return V.emplaceBack(0,0),k.emplaceBack(ne.x,ne.y,xe,Ie,Math.round(Ve.x),Math.round(Ve.y))},Du.prototype.addCollisionDebugVertices=function(k,V,ne,xe,Ie,Ve,ht){var Rt=Ie.segments.prepareSegment(4,Ie.layoutVertexArray,Ie.indexArray),Ht=Rt.vertexLength,tr=Ie.layoutVertexArray,Cr=Ie.collisionVertexArray,Xr=ht.anchorX,qr=ht.anchorY;this._addCollisionDebugVertex(tr,Cr,Ve,Xr,qr,new i(k,V)),this._addCollisionDebugVertex(tr,Cr,Ve,Xr,qr,new i(ne,V)),this._addCollisionDebugVertex(tr,Cr,Ve,Xr,qr,new i(ne,xe)),this._addCollisionDebugVertex(tr,Cr,Ve,Xr,qr,new i(k,xe)),Rt.vertexLength+=4;var pa=Ie.indexArray;pa.emplaceBack(Ht,Ht+1),pa.emplaceBack(Ht+1,Ht+2),pa.emplaceBack(Ht+2,Ht+3),pa.emplaceBack(Ht+3,Ht),Rt.primitiveLength+=4},Du.prototype.addDebugCollisionBoxes=function(k,V,ne,xe){for(var Ie=k;Ie<V;Ie++){var Ve=this.collisionBoxArray.get(Ie),ht=Ve.x1,Rt=Ve.y1,Ht=Ve.x2,tr=Ve.y2;this.addCollisionDebugVertices(ht,Rt,Ht,tr,xe?this.textCollisionBox:this.iconCollisionBox,Ve.anchorPoint,ne)}},Du.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new e_(zi,Ut.members,Rn),this.iconCollisionBox=new e_(zi,Ut.members,Rn);for(var k=0;k<this.symbolInstances.length;k++){var V=this.symbolInstances.get(k);this.addDebugCollisionBoxes(V.textBoxStartIndex,V.textBoxEndIndex,V,!0),this.addDebugCollisionBoxes(V.verticalTextBoxStartIndex,V.verticalTextBoxEndIndex,V,!0),this.addDebugCollisionBoxes(V.iconBoxStartIndex,V.iconBoxEndIndex,V,!1),this.addDebugCollisionBoxes(V.verticalIconBoxStartIndex,V.verticalIconBoxEndIndex,V,!1)}},Du.prototype._deserializeCollisionBoxesForSymbol=function(k,V,ne,xe,Ie,Ve,ht,Rt,Ht){for(var tr={},Cr=V;Cr<ne;Cr++){var Xr=k.get(Cr);tr.textBox={x1:Xr.x1,y1:Xr.y1,x2:Xr.x2,y2:Xr.y2,anchorPointX:Xr.anchorPointX,anchorPointY:Xr.anchorPointY},tr.textFeatureIndex=Xr.featureIndex;break}for(var qr=xe;qr<Ie;qr++){var pa=k.get(qr);tr.verticalTextBox={x1:pa.x1,y1:pa.y1,x2:pa.x2,y2:pa.y2,anchorPointX:pa.anchorPointX,anchorPointY:pa.anchorPointY},tr.verticalTextFeatureIndex=pa.featureIndex;break}for(var ja=Ve;ja<ht;ja++){var Ei=k.get(ja);tr.iconBox={x1:Ei.x1,y1:Ei.y1,x2:Ei.x2,y2:Ei.y2,anchorPointX:Ei.anchorPointX,anchorPointY:Ei.anchorPointY},tr.iconFeatureIndex=Ei.featureIndex;break}for(var li=Rt;li<Ht;li++){var en=k.get(li);tr.verticalIconBox={x1:en.x1,y1:en.y1,x2:en.x2,y2:en.y2,anchorPointX:en.anchorPointX,anchorPointY:en.anchorPointY},tr.verticalIconFeatureIndex=en.featureIndex;break}return tr},Du.prototype.deserializeCollisionBoxes=function(k){this.collisionArrays=[];for(var V=0;V<this.symbolInstances.length;V++){var ne=this.symbolInstances.get(V);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(k,ne.textBoxStartIndex,ne.textBoxEndIndex,ne.verticalTextBoxStartIndex,ne.verticalTextBoxEndIndex,ne.iconBoxStartIndex,ne.iconBoxEndIndex,ne.verticalIconBoxStartIndex,ne.verticalIconBoxEndIndex))}},Du.prototype.hasTextData=function(){return this.text.segments.get().length>0},Du.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Du.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Du.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Du.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Du.prototype.addIndicesForPlacedSymbol=function(k,V){for(var ne=k.placedSymbolArray.get(V),xe=ne.vertexStartIndex+ne.numGlyphs*4,Ie=ne.vertexStartIndex;Ie<xe;Ie+=4)k.indexArray.emplaceBack(Ie,Ie+1,Ie+2),k.indexArray.emplaceBack(Ie+1,Ie+2,Ie+3)},Du.prototype.getSortedSymbolIndexes=function(k){if(this.sortedAngle===k&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;for(var V=Math.sin(k),ne=Math.cos(k),xe=[],Ie=[],Ve=[],ht=0;ht<this.symbolInstances.length;++ht){Ve.push(ht);var Rt=this.symbolInstances.get(ht);xe.push(Math.round(V*Rt.anchorX+ne*Rt.anchorY)|0),Ie.push(Rt.featureIndex)}return Ve.sort(function(Ht,tr){return xe[Ht]-xe[tr]||Ie[tr]-Ie[Ht]}),Ve},Du.prototype.addToSortKeyRanges=function(k,V){var ne=this.sortKeyRanges[this.sortKeyRanges.length-1];ne&&ne.sortKey===V?ne.symbolInstanceEnd=k+1:this.sortKeyRanges.push({sortKey:V,symbolInstanceStart:k,symbolInstanceEnd:k+1})},Du.prototype.sortFeatures=function(k){var V=this;if(this.sortFeaturesByY&&this.sortedAngle!==k&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(k),this.sortedAngle=k,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var ne=0,xe=this.symbolInstanceIndexes;ne<xe.length;ne+=1){var Ie=xe[ne],Ve=this.symbolInstances.get(Ie);this.featureSortOrder.push(Ve.featureIndex),[Ve.rightJustifiedTextSymbolIndex,Ve.centerJustifiedTextSymbolIndex,Ve.leftJustifiedTextSymbolIndex].forEach(function(ht,Rt,Ht){ht>=0&&Ht.indexOf(ht)===Rt&&V.addIndicesForPlacedSymbol(V.text,ht)}),Ve.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,Ve.verticalPlacedTextSymbolIndex),Ve.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,Ve.placedIconSymbolIndex),Ve.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,Ve.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},de(\"SymbolBucket\",Du,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Du.MAX_GLYPHS=65535,Du.addDynamicAttributes=vA;function IW(C,k){return k.replace(/{([^{}]+)}/g,function(V,ne){return ne in C?String(C[ne]):\"\"})}var RW=new xa({\"symbol-placement\":new nt(Ui.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new nt(Ui.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new nt(Ui.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Yt(Ui.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new nt(Ui.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new nt(Ui.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new nt(Ui.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new nt(Ui.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new nt(Ui.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Yt(Ui.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new nt(Ui.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new nt(Ui.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Yt(Ui.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Yt(Ui.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new nt(Ui.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new nt(Ui.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Yt(Ui.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Yt(Ui.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new nt(Ui.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new nt(Ui.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new nt(Ui.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Yt(Ui.layout_symbol[\"text-field\"]),\"text-font\":new Yt(Ui.layout_symbol[\"text-font\"]),\"text-size\":new Yt(Ui.layout_symbol[\"text-size\"]),\"text-max-width\":new Yt(Ui.layout_symbol[\"text-max-width\"]),\"text-line-height\":new nt(Ui.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Yt(Ui.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Yt(Ui.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Yt(Ui.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new nt(Ui.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Yt(Ui.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new nt(Ui.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new nt(Ui.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Yt(Ui.layout_symbol[\"text-rotate\"]),\"text-padding\":new nt(Ui.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new nt(Ui.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Yt(Ui.layout_symbol[\"text-transform\"]),\"text-offset\":new Yt(Ui.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new nt(Ui.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new nt(Ui.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new nt(Ui.layout_symbol[\"text-optional\"])}),DW=new xa({\"icon-opacity\":new Yt(Ui.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Yt(Ui.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Yt(Ui.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Yt(Ui.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Yt(Ui.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new nt(Ui.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new nt(Ui.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Yt(Ui.paint_symbol[\"text-opacity\"]),\"text-color\":new Yt(Ui.paint_symbol[\"text-color\"],{runtimeType:As,getOverride:function(C){return C.textColor},hasOverride:function(C){return!!C.textColor}}),\"text-halo-color\":new Yt(Ui.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Yt(Ui.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Yt(Ui.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new nt(Ui.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new nt(Ui.paint_symbol[\"text-translate-anchor\"])}),mA={paint:DW,layout:RW},qg=function(k){this.type=k.property.overrides?k.property.overrides.runtimeType:rl,this.defaultValue=k};qg.prototype.evaluate=function(k){if(k.formattedSection){var V=this.defaultValue.property.overrides;if(V&&V.hasOverride(k.formattedSection))return V.getOverride(k.formattedSection)}return k.feature&&k.featureState?this.defaultValue.evaluate(k.feature,k.featureState):this.defaultValue.property.specification.default},qg.prototype.eachChild=function(k){if(!this.defaultValue.isConstant()){var V=this.defaultValue.value;k(V._styleExpression.expression)}},qg.prototype.outputDefined=function(){return!1},qg.prototype.serialize=function(){return null},de(\"FormatSectionOverride\",qg,{omit:[\"defaultValue\"]});var zW=function(C){function k(V){C.call(this,V,mA)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.recalculate=function(ne,xe){if(C.prototype.recalculate.call(this,ne,xe),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){var Ie=this.layout.get(\"text-writing-mode\");if(Ie){for(var Ve=[],ht=0,Rt=Ie;ht<Rt.length;ht+=1){var Ht=Rt[ht];Ve.indexOf(Ht)<0&&Ve.push(Ht)}this.layout._values[\"text-writing-mode\"]=Ve}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},k.prototype.getValueAndResolveTokens=function(ne,xe,Ie,Ve){var ht=this.layout.get(ne).evaluate(xe,{},Ie,Ve),Rt=this._unevaluatedLayout._values[ne];return!Rt.isDataDriven()&&!fo(Rt.value)&&ht?IW(xe.properties,ht):ht},k.prototype.createBucket=function(ne){return new Du(ne)},k.prototype.queryRadius=function(){return 0},k.prototype.queryIntersectsFeature=function(){return!1},k.prototype._setPaintOverrides=function(){for(var ne=0,xe=mA.paint.overridableProperties;ne<xe.length;ne+=1){var Ie=xe[ne];if(k.hasPaintOverride(this.layout,Ie)){var Ve=this.paint.get(Ie),ht=new qg(Ve),Rt=new gc(ht,Ve.property.specification),Ht=null;Ve.value.kind===\"constant\"||Ve.value.kind===\"source\"?Ht=new Ic(\"source\",Rt):Ht=new lc(\"composite\",Rt,Ve.value.zoomStops,Ve.value._interpolationType),this.paint._values[Ie]=new Il(Ve.property,Ht,Ve.parameters)}}},k.prototype._handleOverridablePaintPropertyUpdate=function(ne,xe,Ie){return!this.layout||xe.isDataDriven()||Ie.isDataDriven()?!1:k.hasPaintOverride(this.layout,ne)},k.hasPaintOverride=function(ne,xe){var Ie=ne.get(\"text-field\"),Ve=mA.paint.properties[xe],ht=!1,Rt=function(Cr){for(var Xr=0,qr=Cr;Xr<qr.length;Xr+=1){var pa=qr[Xr];if(Ve.overrides&&Ve.overrides.hasOverride(pa)){ht=!0;return}}};if(Ie.value.kind===\"constant\"&&Ie.value.value instanceof nu)Rt(Ie.value.value.sections);else if(Ie.value.kind===\"source\"){var Ht=function(Cr){if(!ht)if(Cr instanceof gs&&il(Cr.value)===fl){var Xr=Cr.value;Rt(Xr.sections)}else Cr instanceof qu?Rt(Cr.sections):Cr.eachChild(Ht)},tr=Ie.value;tr._styleExpression&&Ht(tr._styleExpression.expression)}return ht},k}(Ja),FW=new xa({\"background-color\":new nt(Ui.paint_background[\"background-color\"]),\"background-pattern\":new ua(Ui.paint_background[\"background-pattern\"]),\"background-opacity\":new nt(Ui.paint_background[\"background-opacity\"])}),OW={paint:FW},BW=function(C){function k(V){C.call(this,V,OW)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k}(Ja),NW=new xa({\"raster-opacity\":new nt(Ui.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new nt(Ui.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new nt(Ui.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new nt(Ui.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new nt(Ui.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new nt(Ui.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new nt(Ui.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new nt(Ui.paint_raster[\"raster-fade-duration\"])}),UW={paint:NW},jW=function(C){function k(V){C.call(this,V,UW)}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k}(Ja);function qW(C){var k=[],V=C.id;return V===void 0&&k.push({message:\"layers.\"+V+': missing required property \"id\"'}),C.render===void 0&&k.push({message:\"layers.\"+V+': missing required method \"render\"'}),C.renderingMode&&C.renderingMode!==\"2d\"&&C.renderingMode!==\"3d\"&&k.push({message:\"layers.\"+V+': property \"renderingMode\" must be either \"2d\" or \"3d\"'}),k}var VW=function(C){function k(V){C.call(this,V,{}),this.implementation=V}return C&&(k.__proto__=C),k.prototype=Object.create(C&&C.prototype),k.prototype.constructor=k,k.prototype.is3D=function(){return this.implementation.renderingMode===\"3d\"},k.prototype.hasOffscreenPass=function(){return this.implementation.prerender!==void 0},k.prototype.recalculate=function(){},k.prototype.updateTransitions=function(){},k.prototype.hasTransition=function(){},k.prototype.serialize=function(){},k.prototype.onAdd=function(ne){this.implementation.onAdd&&this.implementation.onAdd(ne,ne.painter.context.gl)},k.prototype.onRemove=function(ne){this.implementation.onRemove&&this.implementation.onRemove(ne,ne.painter.context.gl)},k}(Ja),GW={circle:XT,heatmap:Tg,hillshade:Ix,fill:R0,\"fill-extrusion\":pv,line:D,symbol:zW,background:BW,raster:jW};function HW(C){return C.type===\"custom\"?new VW(C):new GW[C.type](C)}var kC=s.HTMLImageElement,LC=s.HTMLCanvasElement,PC=s.HTMLVideoElement,IC=s.ImageData,pb=s.ImageBitmap,O0=function(k,V,ne,xe){this.context=k,this.format=ne,this.texture=k.gl.createTexture(),this.update(V,xe)};O0.prototype.update=function(k,V,ne){var xe=k.width,Ie=k.height,Ve=(!this.size||this.size[0]!==xe||this.size[1]!==Ie)&&!ne,ht=this,Rt=ht.context,Ht=Rt.gl;if(this.useMipmap=!!(V&&V.useMipmap),Ht.bindTexture(Ht.TEXTURE_2D,this.texture),Rt.pixelStoreUnpackFlipY.set(!1),Rt.pixelStoreUnpack.set(1),Rt.pixelStoreUnpackPremultiplyAlpha.set(this.format===Ht.RGBA&&(!V||V.premultiply!==!1)),Ve)this.size=[xe,Ie],k instanceof kC||k instanceof LC||k instanceof PC||k instanceof IC||pb&&k instanceof pb?Ht.texImage2D(Ht.TEXTURE_2D,0,this.format,this.format,Ht.UNSIGNED_BYTE,k):Ht.texImage2D(Ht.TEXTURE_2D,0,this.format,xe,Ie,0,this.format,Ht.UNSIGNED_BYTE,k.data);else{var tr=ne||{x:0,y:0},Cr=tr.x,Xr=tr.y;k instanceof kC||k instanceof LC||k instanceof PC||k instanceof IC||pb&&k instanceof pb?Ht.texSubImage2D(Ht.TEXTURE_2D,0,Cr,Xr,Ht.RGBA,Ht.UNSIGNED_BYTE,k):Ht.texSubImage2D(Ht.TEXTURE_2D,0,Cr,Xr,xe,Ie,Ht.RGBA,Ht.UNSIGNED_BYTE,k.data)}this.useMipmap&&this.isSizePowerOfTwo()&&Ht.generateMipmap(Ht.TEXTURE_2D)},O0.prototype.bind=function(k,V,ne){var xe=this,Ie=xe.context,Ve=Ie.gl;Ve.bindTexture(Ve.TEXTURE_2D,this.texture),ne===Ve.LINEAR_MIPMAP_NEAREST&&!this.isSizePowerOfTwo()&&(ne=Ve.LINEAR),k!==this.filter&&(Ve.texParameteri(Ve.TEXTURE_2D,Ve.TEXTURE_MAG_FILTER,k),Ve.texParameteri(Ve.TEXTURE_2D,Ve.TEXTURE_MIN_FILTER,ne||k),this.filter=k),V!==this.wrap&&(Ve.texParameteri(Ve.TEXTURE_2D,Ve.TEXTURE_WRAP_S,V),Ve.texParameteri(Ve.TEXTURE_2D,Ve.TEXTURE_WRAP_T,V),this.wrap=V)},O0.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1===0},O0.prototype.destroy=function(){var k=this.context,V=k.gl;V.deleteTexture(this.texture),this.texture=null};var gA=function(k){var V=this;this._callback=k,this._triggered=!1,typeof MessageChannel<\"u\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){V._triggered=!1,V._callback()})};gA.prototype.trigger=function(){var k=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){k._triggered=!1,k._callback()},0))},gA.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Vg=function(k,V,ne){this.target=k,this.parent=V,this.mapId=ne,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},L([\"receive\",\"process\"],this),this.invoker=new gA(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=le()?k:s};Vg.prototype.send=function(k,V,ne,xe,Ie){var Ve=this;Ie===void 0&&(Ie=!1);var ht=Math.round(Math.random()*1e18).toString(36).substring(0,10);ne&&(this.callbacks[ht]=ne);var Rt=$(this.globalScope)?void 0:[];return this.target.postMessage({id:ht,type:k,hasCallback:!!ne,targetMapId:xe,mustQueue:Ie,sourceMapId:this.mapId,data:_t(V,Rt)},Rt),{cancel:function(){ne&&delete Ve.callbacks[ht],Ve.target.postMessage({id:ht,type:\"<cancel>\",targetMapId:xe,sourceMapId:Ve.mapId})}}},Vg.prototype.receive=function(k){var V=k.data,ne=V.id;if(ne&&!(V.targetMapId&&this.mapId!==V.targetMapId))if(V.type===\"<cancel>\"){delete this.tasks[ne];var xe=this.cancelCallbacks[ne];delete this.cancelCallbacks[ne],xe&&xe()}else le()||V.mustQueue?(this.tasks[ne]=V,this.taskQueue.push(ne),this.invoker.trigger()):this.processTask(ne,V)},Vg.prototype.process=function(){if(this.taskQueue.length){var k=this.taskQueue.shift(),V=this.tasks[k];delete this.tasks[k],this.taskQueue.length&&this.invoker.trigger(),V&&this.processTask(k,V)}},Vg.prototype.processTask=function(k,V){var ne=this;if(V.type===\"<response>\"){var xe=this.callbacks[k];delete this.callbacks[k],xe&&(V.error?xe(St(V.error)):xe(null,St(V.data)))}else{var Ie=!1,Ve=$(this.globalScope)?void 0:[],ht=V.hasCallback?function(Xr,qr){Ie=!0,delete ne.cancelCallbacks[k],ne.target.postMessage({id:k,type:\"<response>\",sourceMapId:ne.mapId,error:Xr?_t(Xr):null,data:_t(qr,Ve)},Ve)}:function(Xr){Ie=!0},Rt=null,Ht=St(V.data);if(this.parent[V.type])Rt=this.parent[V.type](V.sourceMapId,Ht,ht);else if(this.parent.getWorkerSource){var tr=V.type.split(\".\"),Cr=this.parent.getWorkerSource(V.sourceMapId,tr[0],Ht.source);Rt=Cr[tr[1]](Ht,ht)}else ht(new Error(\"Could not find function \"+V.type));!Ie&&Rt&&Rt.cancel&&(this.cancelCallbacks[k]=Rt.cancel)}},Vg.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};function WW(C,k,V){k=Math.pow(2,V)-k-1;var ne=RC(C*256,k*256,V),xe=RC((C+1)*256,(k+1)*256,V);return ne[0]+\",\"+ne[1]+\",\"+xe[0]+\",\"+xe[1]}function RC(C,k,V){var ne=2*Math.PI*6378137/256/Math.pow(2,V),xe=C*ne-2*Math.PI*6378137/2,Ie=k*ne-2*Math.PI*6378137/2;return[xe,Ie]}var Gf=function(k,V){k&&(V?this.setSouthWest(k).setNorthEast(V):k.length===4?this.setSouthWest([k[0],k[1]]).setNorthEast([k[2],k[3]]):this.setSouthWest(k[0]).setNorthEast(k[1]))};Gf.prototype.setNorthEast=function(k){return this._ne=k instanceof Dc?new Dc(k.lng,k.lat):Dc.convert(k),this},Gf.prototype.setSouthWest=function(k){return this._sw=k instanceof Dc?new Dc(k.lng,k.lat):Dc.convert(k),this},Gf.prototype.extend=function(k){var V=this._sw,ne=this._ne,xe,Ie;if(k instanceof Dc)xe=k,Ie=k;else if(k instanceof Gf){if(xe=k._sw,Ie=k._ne,!xe||!Ie)return this}else{if(Array.isArray(k))if(k.length===4||k.every(Array.isArray)){var Ve=k;return this.extend(Gf.convert(Ve))}else{var ht=k;return this.extend(Dc.convert(ht))}return this}return!V&&!ne?(this._sw=new Dc(xe.lng,xe.lat),this._ne=new Dc(Ie.lng,Ie.lat)):(V.lng=Math.min(xe.lng,V.lng),V.lat=Math.min(xe.lat,V.lat),ne.lng=Math.max(Ie.lng,ne.lng),ne.lat=Math.max(Ie.lat,ne.lat)),this},Gf.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Gf.prototype.getSouthWest=function(){return this._sw},Gf.prototype.getNorthEast=function(){return this._ne},Gf.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Gf.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Gf.prototype.getWest=function(){return this._sw.lng},Gf.prototype.getSouth=function(){return this._sw.lat},Gf.prototype.getEast=function(){return this._ne.lng},Gf.prototype.getNorth=function(){return this._ne.lat},Gf.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Gf.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Gf.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Gf.prototype.contains=function(k){var V=Dc.convert(k),ne=V.lng,xe=V.lat,Ie=this._sw.lat<=xe&&xe<=this._ne.lat,Ve=this._sw.lng<=ne&&ne<=this._ne.lng;return this._sw.lng>this._ne.lng&&(Ve=this._sw.lng>=ne&&ne>=this._ne.lng),Ie&&Ve},Gf.convert=function(k){return!k||k instanceof Gf?k:new Gf(k)};var DC=63710088e-1,Dc=function(k,V){if(isNaN(k)||isNaN(V))throw new Error(\"Invalid LngLat object: (\"+k+\", \"+V+\")\");if(this.lng=+k,this.lat=+V,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Dc.prototype.wrap=function(){return new Dc(_(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Dc.prototype.distanceTo=function(k){var V=Math.PI/180,ne=this.lat*V,xe=k.lat*V,Ie=Math.sin(ne)*Math.sin(xe)+Math.cos(ne)*Math.cos(xe)*Math.cos((k.lng-this.lng)*V),Ve=DC*Math.acos(Math.min(Ie,1));return Ve},Dc.prototype.toBounds=function(k){k===void 0&&(k=0);var V=40075017,ne=360*k/V,xe=ne/Math.cos(Math.PI/180*this.lat);return new Gf(new Dc(this.lng-xe,this.lat-ne),new Dc(this.lng+xe,this.lat+ne))},Dc.convert=function(k){if(k instanceof Dc)return k;if(Array.isArray(k)&&(k.length===2||k.length===3))return new Dc(Number(k[0]),Number(k[1]));if(!Array.isArray(k)&&typeof k==\"object\"&&k!==null)return new Dc(Number(\"lng\"in k?k.lng:k.lon),Number(k.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zC=2*Math.PI*DC;function FC(C){return zC*Math.cos(C*Math.PI/180)}function OC(C){return(180+C)/360}function BC(C){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+C*Math.PI/360)))/360}function NC(C,k){return C/FC(k)}function XW(C){return C*360-180}function yA(C){var k=180-C*360;return 360/Math.PI*Math.atan(Math.exp(k*Math.PI/180))-90}function ZW(C,k){return C*FC(yA(k))}function YW(C){return 1/Math.cos(C*Math.PI/180)}var B0=function(k,V,ne){ne===void 0&&(ne=0),this.x=+k,this.y=+V,this.z=+ne};B0.fromLngLat=function(k,V){V===void 0&&(V=0);var ne=Dc.convert(k);return new B0(OC(ne.lng),BC(ne.lat),NC(V,ne.lat))},B0.prototype.toLngLat=function(){return new Dc(XW(this.x),yA(this.y))},B0.prototype.toAltitude=function(){return ZW(this.z,this.y)},B0.prototype.meterInMercatorCoordinateUnits=function(){return 1/zC*YW(yA(this.y))};var N0=function(k,V,ne){this.z=k,this.x=V,this.y=ne,this.key=t_(0,k,k,V,ne)};N0.prototype.equals=function(k){return this.z===k.z&&this.x===k.x&&this.y===k.y},N0.prototype.url=function(k,V){var ne=WW(this.x,this.y,this.z),xe=KW(this.z,this.x,this.y);return k[(this.x+this.y)%k.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(V===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",xe).replace(\"{bbox-epsg-3857}\",ne)},N0.prototype.getTilePoint=function(k){var V=Math.pow(2,this.z);return new i((k.x*V-this.x)*pi,(k.y*V-this.y)*pi)},N0.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var UC=function(k,V){this.wrap=k,this.canonical=V,this.key=t_(k,V.z,V.z,V.x,V.y)},Hf=function(k,V,ne,xe,Ie){this.overscaledZ=k,this.wrap=V,this.canonical=new N0(ne,+xe,+Ie),this.key=t_(V,k,ne,xe,Ie)};Hf.prototype.equals=function(k){return this.overscaledZ===k.overscaledZ&&this.wrap===k.wrap&&this.canonical.equals(k.canonical)},Hf.prototype.scaledTo=function(k){var V=this.canonical.z-k;return k>this.canonical.z?new Hf(k,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hf(k,this.wrap,k,this.canonical.x>>V,this.canonical.y>>V)},Hf.prototype.calculateScaledKey=function(k,V){var ne=this.canonical.z-k;return k>this.canonical.z?t_(this.wrap*+V,k,this.canonical.z,this.canonical.x,this.canonical.y):t_(this.wrap*+V,k,k,this.canonical.x>>ne,this.canonical.y>>ne)},Hf.prototype.isChildOf=function(k){if(k.wrap!==this.wrap)return!1;var V=this.canonical.z-k.canonical.z;return k.overscaledZ===0||k.overscaledZ<this.overscaledZ&&k.canonical.x===this.canonical.x>>V&&k.canonical.y===this.canonical.y>>V},Hf.prototype.children=function(k){if(this.overscaledZ>=k)return[new Hf(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var V=this.canonical.z+1,ne=this.canonical.x*2,xe=this.canonical.y*2;return[new Hf(V,this.wrap,V,ne,xe),new Hf(V,this.wrap,V,ne+1,xe),new Hf(V,this.wrap,V,ne,xe+1),new Hf(V,this.wrap,V,ne+1,xe+1)]},Hf.prototype.isLessThan=function(k){return this.wrap<k.wrap?!0:this.wrap>k.wrap?!1:this.overscaledZ<k.overscaledZ?!0:this.overscaledZ>k.overscaledZ?!1:this.canonical.x<k.canonical.x?!0:this.canonical.x>k.canonical.x?!1:this.canonical.y<k.canonical.y},Hf.prototype.wrapped=function(){return new Hf(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hf.prototype.unwrapTo=function(k){return new Hf(this.overscaledZ,k,this.canonical.z,this.canonical.x,this.canonical.y)},Hf.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hf.prototype.toUnwrapped=function(){return new UC(this.wrap,this.canonical)},Hf.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hf.prototype.getTilePoint=function(k){return this.canonical.getTilePoint(new B0(k.x-this.wrap,k.y))};function t_(C,k,V,ne,xe){C*=2,C<0&&(C=C*-1-1);var Ie=1<<V;return(Ie*Ie*C+Ie*xe+ne).toString(36)+V.toString(36)+k.toString(36)}function KW(C,k,V){for(var ne=\"\",xe,Ie=C;Ie>0;Ie--)xe=1<<Ie-1,ne+=(k&xe?1:0)+(V&xe?2:0);return ne}de(\"CanonicalTileID\",N0),de(\"OverscaledTileID\",Hf,{omit:[\"posMatrix\"]});var Bv=function(k,V,ne){if(this.uid=k,V.height!==V.width)throw new RangeError(\"DEM tiles must be square\");if(ne&&ne!==\"mapbox\"&&ne!==\"terrarium\")return U('\"'+ne+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=V.height;var xe=this.dim=V.height-2;this.data=new Uint32Array(V.data.buffer),this.encoding=ne||\"mapbox\";for(var Ie=0;Ie<xe;Ie++)this.data[this._idx(-1,Ie)]=this.data[this._idx(0,Ie)],this.data[this._idx(xe,Ie)]=this.data[this._idx(xe-1,Ie)],this.data[this._idx(Ie,-1)]=this.data[this._idx(Ie,0)],this.data[this._idx(Ie,xe)]=this.data[this._idx(Ie,xe-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(xe,-1)]=this.data[this._idx(xe-1,0)],this.data[this._idx(-1,xe)]=this.data[this._idx(0,xe-1)],this.data[this._idx(xe,xe)]=this.data[this._idx(xe-1,xe-1)]};Bv.prototype.get=function(k,V){var ne=new Uint8Array(this.data.buffer),xe=this._idx(k,V)*4,Ie=this.encoding===\"terrarium\"?this._unpackTerrarium:this._unpackMapbox;return Ie(ne[xe],ne[xe+1],ne[xe+2])},Bv.prototype.getUnpackVector=function(){return this.encoding===\"terrarium\"?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Bv.prototype._idx=function(k,V){if(k<-1||k>=this.dim+1||V<-1||V>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(V+1)*this.stride+(k+1)},Bv.prototype._unpackMapbox=function(k,V,ne){return(k*256*256+V*256+ne)/10-1e4},Bv.prototype._unpackTerrarium=function(k,V,ne){return k*256+V+ne/256-32768},Bv.prototype.getPixels=function(){return new $f({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Bv.prototype.backfillBorder=function(k,V,ne){if(this.dim!==k.dim)throw new Error(\"dem dimension mismatch\");var xe=V*this.dim,Ie=V*this.dim+this.dim,Ve=ne*this.dim,ht=ne*this.dim+this.dim;switch(V){case-1:xe=Ie-1;break;case 1:Ie=xe+1;break}switch(ne){case-1:Ve=ht-1;break;case 1:ht=Ve+1;break}for(var Rt=-V*this.dim,Ht=-ne*this.dim,tr=Ve;tr<ht;tr++)for(var Cr=xe;Cr<Ie;Cr++)this.data[this._idx(Cr,tr)]=k.data[this._idx(Cr+Rt,tr+Ht)]},de(\"DEMData\",Bv);function JW(C,k){var V={};if(!k)return V;for(var ne=function(){var Ve=Ie[xe],ht=Ve.layerIds.map(function(Cr){return k.getLayer(Cr)}).filter(Boolean);if(ht.length!==0){Ve.layers=ht,Ve.stateDependentLayerIds&&(Ve.stateDependentLayers=Ve.stateDependentLayerIds.map(function(Cr){return ht.filter(function(Xr){return Xr.id===Cr})[0]}));for(var Rt=0,Ht=ht;Rt<Ht.length;Rt+=1){var tr=Ht[Rt];V[tr.id]=Ve}}},xe=0,Ie=C;xe<Ie.length;xe+=1)ne();return V}var db=function(k){this._stringToNumber={},this._numberToString=[];for(var V=0;V<k.length;V++){var ne=k[V];this._stringToNumber[ne]=V,this._numberToString[V]=ne}};db.prototype.encode=function(k){return this._stringToNumber[k]},db.prototype.decode=function(k){return this._numberToString[k]};var vb=function(k,V,ne,xe,Ie){this.type=\"Feature\",this._vectorTileFeature=k,k._z=V,k._x=ne,k._y=xe,this.properties=k.properties,this.id=Ie},_A={geometry:{configurable:!0}};_A.geometry.get=function(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},_A.geometry.set=function(C){this._geometry=C},vb.prototype.toJSON=function(){var k={geometry:this.geometry};for(var V in this)V===\"_geometry\"||V===\"_vectorTileFeature\"||(k[V]=this[V]);return k},Object.defineProperties(vb.prototype,_A);var Gg=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gg.prototype.updateState=function(k,V,ne){var xe=String(V);if(this.stateChanges[k]=this.stateChanges[k]||{},this.stateChanges[k][xe]=this.stateChanges[k][xe]||{},y(this.stateChanges[k][xe],ne),this.deletedStates[k]===null){this.deletedStates[k]={};for(var Ie in this.state[k])Ie!==xe&&(this.deletedStates[k][Ie]=null)}else{var Ve=this.deletedStates[k]&&this.deletedStates[k][xe]===null;if(Ve){this.deletedStates[k][xe]={};for(var ht in this.state[k][xe])ne[ht]||(this.deletedStates[k][xe][ht]=null)}else for(var Rt in ne){var Ht=this.deletedStates[k]&&this.deletedStates[k][xe]&&this.deletedStates[k][xe][Rt]===null;Ht&&delete this.deletedStates[k][xe][Rt]}}},Gg.prototype.removeFeatureState=function(k,V,ne){var xe=this.deletedStates[k]===null;if(!xe){var Ie=String(V);if(this.deletedStates[k]=this.deletedStates[k]||{},ne&&V!==void 0)this.deletedStates[k][Ie]!==null&&(this.deletedStates[k][Ie]=this.deletedStates[k][Ie]||{},this.deletedStates[k][Ie][ne]=null);else if(V!==void 0){var Ve=this.stateChanges[k]&&this.stateChanges[k][Ie];if(Ve){this.deletedStates[k][Ie]={};for(ne in this.stateChanges[k][Ie])this.deletedStates[k][Ie][ne]=null}else this.deletedStates[k][Ie]=null}else this.deletedStates[k]=null}},Gg.prototype.getState=function(k,V){var ne=String(V),xe=this.state[k]||{},Ie=this.stateChanges[k]||{},Ve=y({},xe[ne],Ie[ne]);if(this.deletedStates[k]===null)return{};if(this.deletedStates[k]){var ht=this.deletedStates[k][V];if(ht===null)return{};for(var Rt in ht)delete Ve[Rt]}return Ve},Gg.prototype.initializeTileState=function(k,V){k.setFeatureState(this.state,V)},Gg.prototype.coalesceChanges=function(k,V){var ne={};for(var xe in this.stateChanges){this.state[xe]=this.state[xe]||{};var Ie={};for(var Ve in this.stateChanges[xe])this.state[xe][Ve]||(this.state[xe][Ve]={}),y(this.state[xe][Ve],this.stateChanges[xe][Ve]),Ie[Ve]=this.state[xe][Ve];ne[xe]=Ie}for(var ht in this.deletedStates){this.state[ht]=this.state[ht]||{};var Rt={};if(this.deletedStates[ht]===null)for(var Ht in this.state[ht])Rt[Ht]={},this.state[ht][Ht]={};else for(var tr in this.deletedStates[ht]){var Cr=this.deletedStates[ht][tr]===null;if(Cr)this.state[ht][tr]={};else for(var Xr=0,qr=Object.keys(this.deletedStates[ht][tr]);Xr<qr.length;Xr+=1){var pa=qr[Xr];delete this.state[ht][tr][pa]}Rt[tr]=this.state[ht][tr]}ne[ht]=ne[ht]||{},y(ne[ht],Rt)}if(this.stateChanges={},this.deletedStates={},Object.keys(ne).length!==0)for(var ja in k){var Ei=k[ja];Ei.setFeatureState(ne,V)}};var Nv=function(k,V){this.tileID=k,this.x=k.canonical.x,this.y=k.canonical.y,this.z=k.canonical.z,this.grid=new hu(pi,16,0),this.grid3D=new hu(pi,16,0),this.featureIndexArray=new bl,this.promoteId=V};Nv.prototype.insert=function(k,V,ne,xe,Ie,Ve){var ht=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(ne,xe,Ie);for(var Rt=Ve?this.grid3D:this.grid,Ht=0;Ht<V.length;Ht++){for(var tr=V[Ht],Cr=[1/0,1/0,-1/0,-1/0],Xr=0;Xr<tr.length;Xr++){var qr=tr[Xr];Cr[0]=Math.min(Cr[0],qr.x),Cr[1]=Math.min(Cr[1],qr.y),Cr[2]=Math.max(Cr[2],qr.x),Cr[3]=Math.max(Cr[3],qr.y)}Cr[0]<pi&&Cr[1]<pi&&Cr[2]>=0&&Cr[3]>=0&&Rt.insert(ht,Cr[0],Cr[1],Cr[2],Cr[3])}},Nv.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Xd.VectorTile(new go(this.rawTileData)).layers,this.sourceLayerCoder=new db(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Nv.prototype.query=function(k,V,ne,xe){var Ie=this;this.loadVTLayers();for(var Ve=k.params||{},ht=pi/k.tileSize/k.scale,Rt=Je(Ve.filter),Ht=k.queryGeometry,tr=k.queryPadding*ht,Cr=qC(Ht),Xr=this.grid.query(Cr.minX-tr,Cr.minY-tr,Cr.maxX+tr,Cr.maxY+tr),qr=qC(k.cameraQueryGeometry),pa=this.grid3D.query(qr.minX-tr,qr.minY-tr,qr.maxX+tr,qr.maxY+tr,function(xn,qn,Nn,Mo){return rd(k.cameraQueryGeometry,xn-tr,qn-tr,Nn+tr,Mo+tr)}),ja=0,Ei=pa;ja<Ei.length;ja+=1){var li=Ei[ja];Xr.push(li)}Xr.sort($W);for(var en={},Ni,Qi=function(xn){var qn=Xr[xn];if(qn!==Ni){Ni=qn;var Nn=Ie.featureIndexArray.get(qn),Mo=null;Ie.loadMatchingFeature(en,Nn.bucketIndex,Nn.sourceLayerIndex,Nn.featureIndex,Rt,Ve.layers,Ve.availableImages,V,ne,xe,function(no,yo,Ms){return Mo||(Mo=cn(no)),yo.queryIntersectsFeature(Ht,no,Ms,Mo,Ie.z,k.transform,ht,k.pixelPosMatrix)})}},ln=0;ln<Xr.length;ln++)Qi(ln);return en},Nv.prototype.loadMatchingFeature=function(k,V,ne,xe,Ie,Ve,ht,Rt,Ht,tr,Cr){var Xr=this.bucketLayerIDs[V];if(!(Ve&&!I(Ve,Xr))){var qr=this.sourceLayerCoder.decode(ne),pa=this.vtLayers[qr],ja=pa.feature(xe);if(Ie.needGeometry){var Ei=xo(ja,!0);if(!Ie.filter(new gn(this.tileID.overscaledZ),Ei,this.tileID.canonical))return}else if(!Ie.filter(new gn(this.tileID.overscaledZ),ja))return;for(var li=this.getId(ja,qr),en=0;en<Xr.length;en++){var Ni=Xr[en];if(!(Ve&&Ve.indexOf(Ni)<0)){var Qi=Rt[Ni];if(Qi){var ln={};li!==void 0&&tr&&(ln=tr.getState(Qi.sourceLayer||\"_geojsonTileLayer\",li));var xn=y({},Ht[Ni]);xn.paint=jC(xn.paint,Qi.paint,ja,ln,ht),xn.layout=jC(xn.layout,Qi.layout,ja,ln,ht);var qn=!Cr||Cr(ja,Qi,ln);if(qn){var Nn=new vb(ja,this.z,this.x,this.y,li);Nn.layer=xn;var Mo=k[Ni];Mo===void 0&&(Mo=k[Ni]=[]),Mo.push({featureIndex:xe,feature:Nn,intersectionZ:qn})}}}}}},Nv.prototype.lookupSymbolFeatures=function(k,V,ne,xe,Ie,Ve,ht,Rt){var Ht={};this.loadVTLayers();for(var tr=Je(Ie),Cr=0,Xr=k;Cr<Xr.length;Cr+=1){var qr=Xr[Cr];this.loadMatchingFeature(Ht,ne,xe,qr,tr,Ve,ht,Rt,V)}return Ht},Nv.prototype.hasLayer=function(k){for(var V=0,ne=this.bucketLayerIDs;V<ne.length;V+=1)for(var xe=ne[V],Ie=0,Ve=xe;Ie<Ve.length;Ie+=1){var ht=Ve[Ie];if(k===ht)return!0}return!1},Nv.prototype.getId=function(k,V){var ne=k.id;if(this.promoteId){var xe=typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[V];ne=k.properties[xe],typeof ne==\"boolean\"&&(ne=Number(ne))}return ne},de(\"FeatureIndex\",Nv,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});function jC(C,k,V,ne,xe){return F(C,function(Ie,Ve){var ht=k instanceof yc?k.get(Ve):null;return ht&&ht.evaluate?ht.evaluate(V,ne,xe):ht})}function qC(C){for(var k=1/0,V=1/0,ne=-1/0,xe=-1/0,Ie=0,Ve=C;Ie<Ve.length;Ie+=1){var ht=Ve[Ie];k=Math.min(k,ht.x),V=Math.min(V,ht.y),ne=Math.max(ne,ht.x),xe=Math.max(xe,ht.y)}return{minX:k,minY:V,maxX:ne,maxY:xe}}function $W(C,k){return k-C}var QW=3e4,ph=function(k,V){this.tileID=k,this.uid=u(),this.uses=0,this.tileSize=V,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};ph.prototype.registerFadeDuration=function(k){var V=k+this.timeAdded;V<be.now()||this.fadeEndTime&&V<this.fadeEndTime||(this.fadeEndTime=V)},ph.prototype.wasRequested=function(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"},ph.prototype.loadVectorData=function(k,V,ne){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",!k){this.collisionBoxArray=new ho;return}k.featureIndex&&(this.latestFeatureIndex=k.featureIndex,k.rawTileData?(this.latestRawTileData=k.rawTileData,this.latestFeatureIndex.rawTileData=k.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=k.collisionBoxArray,this.buckets=JW(k.buckets,V.style),this.hasSymbolBuckets=!1;for(var xe in this.buckets){var Ie=this.buckets[xe];if(Ie instanceof Du)if(this.hasSymbolBuckets=!0,ne)Ie.justReloaded=!0;else break}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var Ve in this.buckets){var ht=this.buckets[Ve];if(ht instanceof Du&&ht.hasRTLText){this.hasRTLText=!0,_l();break}}this.queryPadding=0;for(var Rt in this.buckets){var Ht=this.buckets[Rt];this.queryPadding=Math.max(this.queryPadding,V.style.getLayer(Rt).queryRadius(Ht))}k.imageAtlas&&(this.imageAtlas=k.imageAtlas),k.glyphAtlasImage&&(this.glyphAtlasImage=k.glyphAtlasImage)},ph.prototype.unloadVectorData=function(){for(var k in this.buckets)this.buckets[k].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},ph.prototype.getBucket=function(k){return this.buckets[k.id]},ph.prototype.upload=function(k){for(var V in this.buckets){var ne=this.buckets[V];ne.uploadPending()&&ne.upload(k)}var xe=k.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new O0(k,this.imageAtlas.image,xe.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new O0(k,this.glyphAtlasImage,xe.ALPHA),this.glyphAtlasImage=null)},ph.prototype.prepare=function(k){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(k,this.imageAtlasTexture)},ph.prototype.queryRenderedFeatures=function(k,V,ne,xe,Ie,Ve,ht,Rt,Ht,tr){return!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData?{}:this.latestFeatureIndex.query({queryGeometry:xe,cameraQueryGeometry:Ie,scale:Ve,tileSize:this.tileSize,pixelPosMatrix:tr,transform:Rt,params:ht,queryPadding:this.queryPadding*Ht},k,V,ne)},ph.prototype.querySourceFeatures=function(k,V){var ne=this.latestFeatureIndex;if(!(!ne||!ne.rawTileData)){var xe=ne.loadVTLayers(),Ie=V?V.sourceLayer:\"\",Ve=xe._geojsonTileLayer||xe[Ie];if(Ve)for(var ht=Je(V&&V.filter),Rt=this.tileID.canonical,Ht=Rt.z,tr=Rt.x,Cr=Rt.y,Xr={z:Ht,x:tr,y:Cr},qr=0;qr<Ve.length;qr++){var pa=Ve.feature(qr);if(ht.needGeometry){var ja=xo(pa,!0);if(!ht.filter(new gn(this.tileID.overscaledZ),ja,this.tileID.canonical))continue}else if(!ht.filter(new gn(this.tileID.overscaledZ),pa))continue;var Ei=ne.getId(pa,Ie),li=new vb(pa,Ht,tr,Cr,Ei);li.tile=Xr,k.push(li)}}},ph.prototype.hasData=function(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"},ph.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ph.prototype.setExpiryData=function(k){var V=this.expirationTime;if(k.cacheControl){var ne=he(k.cacheControl);ne[\"max-age\"]&&(this.expirationTime=Date.now()+ne[\"max-age\"]*1e3)}else k.expires&&(this.expirationTime=new Date(k.expires).getTime());if(this.expirationTime){var xe=Date.now(),Ie=!1;if(this.expirationTime>xe)Ie=!1;else if(!V)Ie=!0;else if(this.expirationTime<V)Ie=!0;else{var Ve=this.expirationTime-V;Ve?this.expirationTime=xe+Math.max(Ve,QW):Ie=!0}Ie?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},ph.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)},ph.prototype.setFeatureState=function(k,V){if(!(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(k).length===0)){var ne=this.latestFeatureIndex.loadVTLayers();for(var xe in this.buckets)if(V.style.hasLayer(xe)){var Ie=this.buckets[xe],Ve=Ie.layers[0].sourceLayer||\"_geojsonTileLayer\",ht=ne[Ve],Rt=k[Ve];if(!(!ht||!Rt||Object.keys(Rt).length===0)){Ie.update(Rt,ht,this.imageAtlas&&this.imageAtlas.patternPositions||{});var Ht=V&&V.style&&V.style.getLayer(xe);Ht&&(this.queryPadding=Math.max(this.queryPadding,Ht.queryRadius(Ie)))}}}},ph.prototype.holdingForFade=function(){return this.symbolFadeHoldUntil!==void 0},ph.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<be.now()},ph.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ph.prototype.setHoldDuration=function(k){this.symbolFadeHoldUntil=be.now()+k},ph.prototype.setDependencies=function(k,V){for(var ne={},xe=0,Ie=V;xe<Ie.length;xe+=1){var Ve=Ie[xe];ne[Ve]=!0}this.dependencies[k]=ne},ph.prototype.hasDependency=function(k,V){for(var ne=0,xe=k;ne<xe.length;ne+=1){var Ie=xe[ne],Ve=this.dependencies[Ie];if(Ve)for(var ht=0,Rt=V;ht<Rt.length;ht+=1){var Ht=Rt[ht];if(Ve[Ht])return!0}}return!1};var eX=[\"type\",\"source\",\"source-layer\",\"minzoom\",\"maxzoom\",\"filter\",\"layout\"],gm=s.performance,VC=function(k){this._marks={start:[k.url,\"start\"].join(\"#\"),end:[k.url,\"end\"].join(\"#\"),measure:k.url.toString()},gm.mark(this._marks.start)};VC.prototype.finish=function(){gm.mark(this._marks.end);var k=gm.getEntriesByName(this._marks.measure);return k.length===0&&(gm.measure(this._marks.measure,this._marks.start,this._marks.end),k=gm.getEntriesByName(this._marks.measure),gm.clearMarks(this._marks.start),gm.clearMarks(this._marks.end),gm.clearMeasures(this._marks.measure)),k},e.Actor=Vg,e.AlphaImage=Pp,e.CanonicalTileID=N0,e.CollisionBoxArray=ho,e.Color=Us,e.DEMData=Bv,e.DataConstantProperty=nt,e.DictionaryCoder=db,e.EXTENT=pi,e.ErrorEvent=Kr,e.EvaluationParameters=gn,e.Event=Gr,e.Evented=Ur,e.FeatureIndex=Nv,e.FillBucket=ad,e.FillExtrusionBucket=fd,e.ImageAtlas=Zd,e.ImagePosition=Pf,e.LineBucket=Vf,e.LngLat=Dc,e.LngLatBounds=Gf,e.MercatorCoordinate=B0,e.ONE_EM=rn,e.OverscaledTileID=Hf,e.Point=i,e.Point$1=i,e.Properties=xa,e.Protobuf=go,e.RGBAImage=$f,e.RequestManager=fe,e.RequestPerformance=VC,e.ResourceType=ti,e.SegmentVector=Lo,e.SourceFeatureState=Gg,e.StructArrayLayout1ui2=Gn,e.StructArrayLayout2f1f2i16=Si,e.StructArrayLayout2i4=Ea,e.StructArrayLayout3ui6=Ki,e.StructArrayLayout4i8=ii,e.SymbolBucket=Du,e.Texture=O0,e.Tile=ph,e.Transitionable=ps,e.Uniform1f=Et,e.Uniform1i=gt,e.Uniform2f=Ft,e.Uniform3f=ir,e.Uniform4f=fr,e.UniformColor=sr,e.UniformMatrix4f=lr,e.UnwrappedTileID=UC,e.ValidationError=Cn,e.WritingMode=dp,e.ZoomHistory=ar,e.add=Lp,e.addDynamicAttributes=vA,e.asyncAll=w,e.bezier=v,e.bindAll=L,e.browser=be,e.cacheEntryPossiblyAdded=la,e.clamp=l,e.clearTileCache=Ba,e.clipLine=TC,e.clone=nm,e.clone$1=O,e.clone$2=_g,e.collisionCircleLayout=nr,e.config=Ae,e.create=im,e.create$1=ch,e.create$2=Gd,e.createCommonjsModule=t,e.createExpression=zo,e.createLayout=ki,e.createStyleLayer=HW,e.cross=jT,e.deepEqual=c,e.dot=UT,e.dot$1=WT,e.ease=T,e.emitValidationErrors=Ru,e.endsWith=z,e.enforceCacheSizeLimit=Ua,e.evaluateSizeForFeature=mC,e.evaluateSizeForZoom=gC,e.evaluateVariableOffset=MC,e.evented=eo,e.extend=y,e.featureFilter=Je,e.filterObject=B,e.fromRotation=iv,e.getAnchorAlignment=$1,e.getAnchorJustification=dA,e.getArrayBuffer=ma,e.getImage=Nr,e.getJSON=ta,e.getRTLTextPluginStatus=$o,e.getReferrer=Jt,e.getVideo=Or,e.identity=Pv,e.invert=nv,e.isChar=zt,e.isMapboxURL=Fe,e.keysDifference=E,e.makeRequest=Pr,e.mapObject=F,e.mercatorXfromLng=OC,e.mercatorYfromLat=BC,e.mercatorZfromAltitude=NC,e.mul=x0,e.multiply=ov,e.mvt=Xd,e.nextPowerOfTwo=h,e.normalize=b0,e.number=Ml,e.offscreenCanvasSupported=za,e.ortho=Au,e.parseGlyphPBF=_d,e.pbf=go,e.performSymbolLayout=SW,e.perspective=om,e.pick=b,e.plugin=el,e.polygonIntersectsPolygon=Fo,e.postMapLoadEvent=Ue,e.postTurnstileEvent=Be,e.potpack=Wp,e.refProperties=eX,e.register=de,e.registerForPluginStateChange=io,e.renderColorRamp=A0,e.rotate=Lv,e.rotateX=Dh,e.rotateZ=Iv,e.scale=lu,e.scale$1=HT,e.scale$2=xg,e.setCacheLimits=Ra,e.setRTLTextPlugin=Zo,e.sphericalToCartesian=ue,e.sqrLen=I1,e.styleSpec=Ui,e.sub=VT,e.symbolSize=mW,e.transformMat3=qT,e.transformMat4=Rv,e.translate=cc,e.triggerPluginCompletionEvent=Pn,e.uniqueId=u,e.validateCustomStyleLayer=qW,e.validateLight=ts,e.validateStyle=es,e.values=S,e.vectorTile=Xd,e.version=r,e.warnOnce=U,e.webpSupported=ze,e.window=s,e.wrap=_}),M([\"./shared\"],function(e){\"use strict\";function t(Jt){var Nt=typeof Jt;if(Nt===\"number\"||Nt===\"boolean\"||Nt===\"string\"||Jt===void 0||Jt===null)return JSON.stringify(Jt);if(Array.isArray(Jt)){for(var Kt=\"[\",Wt=0,Pr=Jt;Wt<Pr.length;Wt+=1){var ta=Pr[Wt];Kt+=t(ta)+\",\"}return Kt+\"]\"}for(var ma=Object.keys(Jt).sort(),ra=\"{\",Ia=0;Ia<ma.length;Ia++)ra+=JSON.stringify(ma[Ia])+\":\"+t(Jt[ma[Ia]])+\",\";return ra+\"}\"}function r(Jt){for(var Nt=\"\",Kt=0,Wt=e.refProperties;Kt<Wt.length;Kt+=1){var Pr=Wt[Kt];Nt+=\"/\"+t(Jt[Pr])}return Nt}function o(Jt,Nt){for(var Kt={},Wt=0;Wt<Jt.length;Wt++){var Pr=Nt&&Nt[Jt[Wt].id]||r(Jt[Wt]);Nt&&(Nt[Jt[Wt].id]=Pr);var ta=Kt[Pr];ta||(ta=Kt[Pr]=[]),ta.push(Jt[Wt])}var ma=[];for(var ra in Kt)ma.push(Kt[ra]);return ma}var a=function(Nt){this.keyCache={},Nt&&this.replace(Nt)};a.prototype.replace=function(Nt){this._layerConfigs={},this._layers={},this.update(Nt,[])},a.prototype.update=function(Nt,Kt){for(var Wt=this,Pr=0,ta=Nt;Pr<ta.length;Pr+=1){var ma=ta[Pr];this._layerConfigs[ma.id]=ma;var ra=this._layers[ma.id]=e.createStyleLayer(ma);ra._featureFilter=e.featureFilter(ra.filter),this.keyCache[ma.id]&&delete this.keyCache[ma.id]}for(var Ia=0,Ha=Kt;Ia<Ha.length;Ia+=1){var $a=Ha[Ia];delete this.keyCache[$a],delete this._layerConfigs[$a],delete this._layers[$a]}this.familiesBySource={};for(var ai=o(e.values(this._layerConfigs),this.keyCache),mi=0,xt=ai;mi<xt.length;mi+=1){var ct=xt[mi],Nr=ct.map(function(Ur){return Wt._layers[Ur.id]}),Or=Nr[0];if(Or.visibility!==\"none\"){var Rr=Or.source||\"\",Lr=this.familiesBySource[Rr];Lr||(Lr=this.familiesBySource[Rr]={});var Gr=Or.sourceLayer||\"_geojsonTileLayer\",Kr=Lr[Gr];Kr||(Kr=Lr[Gr]=[]),Kr.push(Nr)}}};var i=1,n=function(Nt){var Kt={},Wt=[];for(var Pr in Nt){var ta=Nt[Pr],ma=Kt[Pr]={};for(var ra in ta){var Ia=ta[+ra];if(!(!Ia||Ia.bitmap.width===0||Ia.bitmap.height===0)){var Ha={x:0,y:0,w:Ia.bitmap.width+2*i,h:Ia.bitmap.height+2*i};Wt.push(Ha),ma[ra]={rect:Ha,metrics:Ia.metrics}}}}var $a=e.potpack(Wt),ai=$a.w,mi=$a.h,xt=new e.AlphaImage({width:ai||1,height:mi||1});for(var ct in Nt){var Nr=Nt[ct];for(var Or in Nr){var Rr=Nr[+Or];if(!(!Rr||Rr.bitmap.width===0||Rr.bitmap.height===0)){var Lr=Kt[ct][Or].rect;e.AlphaImage.copy(Rr.bitmap,xt,{x:0,y:0},{x:Lr.x+i,y:Lr.y+i},Rr.bitmap)}}}this.image=xt,this.positions=Kt};e.register(\"GlyphAtlas\",n);var s=function(Nt){this.tileID=new e.OverscaledTileID(Nt.tileID.overscaledZ,Nt.tileID.wrap,Nt.tileID.canonical.z,Nt.tileID.canonical.x,Nt.tileID.canonical.y),this.uid=Nt.uid,this.zoom=Nt.zoom,this.pixelRatio=Nt.pixelRatio,this.tileSize=Nt.tileSize,this.source=Nt.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=Nt.showCollisionBoxes,this.collectResourceTiming=!!Nt.collectResourceTiming,this.returnDependencies=!!Nt.returnDependencies,this.promoteId=Nt.promoteId};s.prototype.parse=function(Nt,Kt,Wt,Pr,ta){var ma=this;this.status=\"parsing\",this.data=Nt,this.collisionBoxArray=new e.CollisionBoxArray;var ra=new e.DictionaryCoder(Object.keys(Nt.layers).sort()),Ia=new e.FeatureIndex(this.tileID,this.promoteId);Ia.bucketLayerIDs=[];var Ha={},$a={featureIndex:Ia,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:Wt},ai=Kt.familiesBySource[this.source];for(var mi in ai){var xt=Nt.layers[mi];if(xt){xt.version===1&&e.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+mi+'\" does not use vector tile spec v2 and therefore may have some rendering errors.');for(var ct=ra.encode(mi),Nr=[],Or=0;Or<xt.length;Or++){var Rr=xt.feature(Or),Lr=Ia.getId(Rr,mi);Nr.push({feature:Rr,id:Lr,index:Or,sourceLayerIndex:ct})}for(var Gr=0,Kr=ai[mi];Gr<Kr.length;Gr+=1){var Ur=Kr[Gr],aa=Ur[0];if(!(aa.minzoom&&this.zoom<Math.floor(aa.minzoom))&&!(aa.maxzoom&&this.zoom>=aa.maxzoom)&&aa.visibility!==\"none\"){c(Ur,this.zoom,Wt);var da=Ha[aa.id]=aa.createBucket({index:Ia.bucketLayerIDs.length,layers:Ur,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:ct,sourceID:this.source});da.populate(Nr,$a,this.tileID.canonical),Ia.bucketLayerIDs.push(Ur.map(function(ha){return ha.id}))}}}}var fa,It,dr,kr,ia=e.mapObject($a.glyphDependencies,function(ha){return Object.keys(ha).map(Number)});Object.keys(ia).length?Pr.send(\"getGlyphs\",{uid:this.uid,stacks:ia},function(ha,Da){fa||(fa=ha,It=Da,Ya.call(ma))}):It={};var Ca=Object.keys($a.iconDependencies);Ca.length?Pr.send(\"getImages\",{icons:Ca,source:this.source,tileID:this.tileID,type:\"icons\"},function(ha,Da){fa||(fa=ha,dr=Da,Ya.call(ma))}):dr={};var Fa=Object.keys($a.patternDependencies);Fa.length?Pr.send(\"getImages\",{icons:Fa,source:this.source,tileID:this.tileID,type:\"patterns\"},function(ha,Da){fa||(fa=ha,kr=Da,Ya.call(ma))}):kr={},Ya.call(this);function Ya(){if(fa)return ta(fa);if(It&&dr&&kr){var ha=new n(It),Da=new e.ImageAtlas(dr,kr);for(var Xi in Ha){var Li=Ha[Xi];Li instanceof e.SymbolBucket?(c(Li.layers,this.zoom,Wt),e.performSymbolLayout(Li,It,ha.positions,dr,Da.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):Li.hasPattern&&(Li instanceof e.LineBucket||Li instanceof e.FillBucket||Li instanceof e.FillExtrusionBucket)&&(c(Li.layers,this.zoom,Wt),Li.addFeatures($a,this.tileID.canonical,Da.patternPositions))}this.status=\"done\",ta(null,{buckets:e.values(Ha).filter(function(fn){return!fn.isEmpty()}),featureIndex:Ia,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:ha.image,imageAtlas:Da,glyphMap:this.returnDependencies?It:null,iconMap:this.returnDependencies?dr:null,glyphPositions:this.returnDependencies?ha.positions:null})}}};function c(Jt,Nt,Kt){for(var Wt=new e.EvaluationParameters(Nt),Pr=0,ta=Jt;Pr<ta.length;Pr+=1){var ma=ta[Pr];ma.recalculate(Wt,Kt)}}function f(Jt,Nt){var Kt=e.getArrayBuffer(Jt.request,function(Wt,Pr,ta,ma){Wt?Nt(Wt):Pr&&Nt(null,{vectorTile:new e.vectorTile.VectorTile(new e.pbf(Pr)),rawData:Pr,cacheControl:ta,expires:ma})});return function(){Kt.cancel(),Nt()}}var g=function(Nt,Kt,Wt,Pr){this.actor=Nt,this.layerIndex=Kt,this.availableImages=Wt,this.loadVectorData=Pr||f,this.loading={},this.loaded={}};g.prototype.loadTile=function(Nt,Kt){var Wt=this,Pr=Nt.uid;this.loading||(this.loading={});var ta=Nt&&Nt.request&&Nt.request.collectResourceTiming?new e.RequestPerformance(Nt.request):!1,ma=this.loading[Pr]=new s(Nt);ma.abort=this.loadVectorData(Nt,function(ra,Ia){if(delete Wt.loading[Pr],ra||!Ia)return ma.status=\"done\",Wt.loaded[Pr]=ma,Kt(ra);var Ha=Ia.rawData,$a={};Ia.expires&&($a.expires=Ia.expires),Ia.cacheControl&&($a.cacheControl=Ia.cacheControl);var ai={};if(ta){var mi=ta.finish();mi&&(ai.resourceTiming=JSON.parse(JSON.stringify(mi)))}ma.vectorTile=Ia.vectorTile,ma.parse(Ia.vectorTile,Wt.layerIndex,Wt.availableImages,Wt.actor,function(xt,ct){if(xt||!ct)return Kt(xt);Kt(null,e.extend({rawTileData:Ha.slice(0)},ct,$a,ai))}),Wt.loaded=Wt.loaded||{},Wt.loaded[Pr]=ma})},g.prototype.reloadTile=function(Nt,Kt){var Wt=this,Pr=this.loaded,ta=Nt.uid,ma=this;if(Pr&&Pr[ta]){var ra=Pr[ta];ra.showCollisionBoxes=Nt.showCollisionBoxes;var Ia=function(Ha,$a){var ai=ra.reloadCallback;ai&&(delete ra.reloadCallback,ra.parse(ra.vectorTile,ma.layerIndex,Wt.availableImages,ma.actor,ai)),Kt(Ha,$a)};ra.status===\"parsing\"?ra.reloadCallback=Ia:ra.status===\"done\"&&(ra.vectorTile?ra.parse(ra.vectorTile,this.layerIndex,this.availableImages,this.actor,Ia):Ia())}},g.prototype.abortTile=function(Nt,Kt){var Wt=this.loading,Pr=Nt.uid;Wt&&Wt[Pr]&&Wt[Pr].abort&&(Wt[Pr].abort(),delete Wt[Pr]),Kt()},g.prototype.removeTile=function(Nt,Kt){var Wt=this.loaded,Pr=Nt.uid;Wt&&Wt[Pr]&&delete Wt[Pr],Kt()};var v=e.window.ImageBitmap,T=function(){this.loaded={}};T.prototype.loadTile=function(Nt,Kt){var Wt=Nt.uid,Pr=Nt.encoding,ta=Nt.rawImageData,ma=v&&ta instanceof v?this.getImageData(ta):ta,ra=new e.DEMData(Wt,ma,Pr);this.loaded=this.loaded||{},this.loaded[Wt]=ra,Kt(null,ra)},T.prototype.getImageData=function(Nt){(!this.offscreenCanvas||!this.offscreenCanvasContext)&&(this.offscreenCanvas=new OffscreenCanvas(Nt.width,Nt.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=Nt.width,this.offscreenCanvas.height=Nt.height,this.offscreenCanvasContext.drawImage(Nt,0,0,Nt.width,Nt.height);var Kt=this.offscreenCanvasContext.getImageData(-1,-1,Nt.width+2,Nt.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new e.RGBAImage({width:Kt.width,height:Kt.height},Kt.data)},T.prototype.removeTile=function(Nt){var Kt=this.loaded,Wt=Nt.uid;Kt&&Kt[Wt]&&delete Kt[Wt]};var l=_;function _(Jt,Nt){var Kt=Jt&&Jt.type,Wt;if(Kt===\"FeatureCollection\")for(Wt=0;Wt<Jt.features.length;Wt++)_(Jt.features[Wt],Nt);else if(Kt===\"GeometryCollection\")for(Wt=0;Wt<Jt.geometries.length;Wt++)_(Jt.geometries[Wt],Nt);else if(Kt===\"Feature\")_(Jt.geometry,Nt);else if(Kt===\"Polygon\")w(Jt.coordinates,Nt);else if(Kt===\"MultiPolygon\")for(Wt=0;Wt<Jt.coordinates.length;Wt++)w(Jt.coordinates[Wt],Nt);return Jt}function w(Jt,Nt){if(Jt.length!==0){S(Jt[0],Nt);for(var Kt=1;Kt<Jt.length;Kt++)S(Jt[Kt],!Nt)}}function S(Jt,Nt){for(var Kt=0,Wt=0,Pr=Jt.length,ta=Pr-1;Wt<Pr;ta=Wt++)Kt+=(Jt[Wt][0]-Jt[ta][0])*(Jt[ta][1]+Jt[Wt][1]);Kt>=0!=!!Nt&&Jt.reverse()}var E=e.vectorTile.VectorTileFeature.prototype.toGeoJSON,y=function(Nt){this._feature=Nt,this.extent=e.EXTENT,this.type=Nt.type,this.properties=Nt.tags,\"id\"in Nt&&!isNaN(Nt.id)&&(this.id=parseInt(Nt.id,10))};y.prototype.loadGeometry=function(){if(this._feature.type===1){for(var Nt=[],Kt=0,Wt=this._feature.geometry;Kt<Wt.length;Kt+=1){var Pr=Wt[Kt];Nt.push([new e.Point$1(Pr[0],Pr[1])])}return Nt}else{for(var ta=[],ma=0,ra=this._feature.geometry;ma<ra.length;ma+=1){for(var Ia=ra[ma],Ha=[],$a=0,ai=Ia;$a<ai.length;$a+=1){var mi=ai[$a];Ha.push(new e.Point$1(mi[0],mi[1]))}ta.push(Ha)}return ta}},y.prototype.toGeoJSON=function(Nt,Kt,Wt){return E.call(this,Nt,Kt,Wt)};var b=function(Nt){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=e.EXTENT,this.length=Nt.length,this._features=Nt};b.prototype.feature=function(Nt){return new y(this._features[Nt])};var p=e.vectorTile.VectorTileFeature,u=m;function m(Jt,Nt){this.options=Nt||{},this.features=Jt,this.length=Jt.length}m.prototype.feature=function(Jt){return new h(this.features[Jt],this.options.extent)};function h(Jt,Nt){this.id=typeof Jt.id==\"number\"?Jt.id:void 0,this.type=Jt.type,this.rawGeometry=Jt.type===1?[Jt.geometry]:Jt.geometry,this.properties=Jt.tags,this.extent=Nt||4096}h.prototype.loadGeometry=function(){var Jt=this.rawGeometry;this.geometry=[];for(var Nt=0;Nt<Jt.length;Nt++){for(var Kt=Jt[Nt],Wt=[],Pr=0;Pr<Kt.length;Pr++)Wt.push(new e.Point$1(Kt[Pr][0],Kt[Pr][1]));this.geometry.push(Wt)}return this.geometry},h.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var Jt=this.geometry,Nt=1/0,Kt=-1/0,Wt=1/0,Pr=-1/0,ta=0;ta<Jt.length;ta++)for(var ma=Jt[ta],ra=0;ra<ma.length;ra++){var Ia=ma[ra];Nt=Math.min(Nt,Ia.x),Kt=Math.max(Kt,Ia.x),Wt=Math.min(Wt,Ia.y),Pr=Math.max(Pr,Ia.y)}return[Nt,Wt,Kt,Pr]},h.prototype.toGeoJSON=p.prototype.toGeoJSON;var P=B,L=B,z=O,F=u;function B(Jt){var Nt=new e.pbf;return I(Jt,Nt),Nt.finish()}function O(Jt,Nt){Nt=Nt||{};var Kt={};for(var Wt in Jt)Kt[Wt]=new u(Jt[Wt].features,Nt),Kt[Wt].name=Wt,Kt[Wt].version=Nt.version,Kt[Wt].extent=Nt.extent;return B({layers:Kt})}function I(Jt,Nt){for(var Kt in Jt.layers)Nt.writeMessage(3,N,Jt.layers[Kt])}function N(Jt,Nt){Nt.writeVarintField(15,Jt.version||1),Nt.writeStringField(1,Jt.name||\"\"),Nt.writeVarintField(5,Jt.extent||4096);var Kt,Wt={keys:[],values:[],keycache:{},valuecache:{}};for(Kt=0;Kt<Jt.length;Kt++)Wt.feature=Jt.feature(Kt),Nt.writeMessage(2,U,Wt);var Pr=Wt.keys;for(Kt=0;Kt<Pr.length;Kt++)Nt.writeStringField(3,Pr[Kt]);var ta=Wt.values;for(Kt=0;Kt<ta.length;Kt++)Nt.writeMessage(4,he,ta[Kt])}function U(Jt,Nt){var Kt=Jt.feature;Kt.id!==void 0&&Nt.writeVarintField(1,Kt.id),Nt.writeMessage(2,W,Jt),Nt.writeVarintField(3,Kt.type),Nt.writeMessage(4,le,Kt)}function W(Jt,Nt){var Kt=Jt.feature,Wt=Jt.keys,Pr=Jt.values,ta=Jt.keycache,ma=Jt.valuecache;for(var ra in Kt.properties){var Ia=ta[ra];typeof Ia>\"u\"&&(Wt.push(ra),Ia=Wt.length-1,ta[ra]=Ia),Nt.writeVarint(Ia);var Ha=Kt.properties[ra],$a=typeof Ha;$a!==\"string\"&&$a!==\"boolean\"&&$a!==\"number\"&&(Ha=JSON.stringify(Ha));var ai=$a+\":\"+Ha,mi=ma[ai];typeof 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Nr=Math.floor((xt+mi)/2);Ha=Nt[2*Nr],$a=Nt[2*Nr+1],Ha>=Kt&&Ha<=Pr&&$a>=Wt&&$a<=ta&&Ia.push(Jt[Nr]);var Or=(ai+1)%2;(ai===0?Kt<=Ha:Wt<=$a)&&(ra.push(xt),ra.push(Nr-1),ra.push(Or)),(ai===0?Pr>=Ha:ta>=$a)&&(ra.push(Nr+1),ra.push(mi),ra.push(Or))}return Ia}function ie(Jt,Nt,Kt,Wt,Pr,ta){for(var ma=[0,Jt.length-1,0],ra=[],Ia=Pr*Pr;ma.length;){var Ha=ma.pop(),$a=ma.pop(),ai=ma.pop();if($a-ai<=ta){for(var mi=ai;mi<=$a;mi++)j(Nt[2*mi],Nt[2*mi+1],Kt,Wt)<=Ia&&ra.push(Jt[mi]);continue}var xt=Math.floor((ai+$a)/2),ct=Nt[2*xt],Nr=Nt[2*xt+1];j(ct,Nr,Kt,Wt)<=Ia&&ra.push(Jt[xt]);var Or=(Ha+1)%2;(Ha===0?Kt-Pr<=ct:Wt-Pr<=Nr)&&(ma.push(ai),ma.push(xt-1),ma.push(Or)),(Ha===0?Kt+Pr>=ct:Wt+Pr>=Nr)&&(ma.push(xt+1),ma.push($a),ma.push(Or))}return ra}function j(Jt,Nt,Kt,Wt){var Pr=Jt-Kt,ta=Nt-Wt;return Pr*Pr+ta*ta}var ee=function(Jt){return Jt[0]},re=function(Jt){return Jt[1]},ce=function(Nt,Kt,Wt,Pr,ta){Kt===void 0&&(Kt=ee),Wt===void 0&&(Wt=re),Pr===void 0&&(Pr=64),ta===void 0&&(ta=Float64Array),this.nodeSize=Pr,this.points=Nt;for(var ma=Nt.length<65536?Uint16Array:Uint32Array,ra=this.ids=new ma(Nt.length),Ia=this.coords=new ta(Nt.length*2),Ha=0;Ha<Nt.length;Ha++)ra[Ha]=Ha,Ia[2*Ha]=Kt(Nt[Ha]),Ia[2*Ha+1]=Wt(Nt[Ha]);G(ra,Ia,Pr,0,ra.length-1,0)};ce.prototype.range=function(Nt,Kt,Wt,Pr){return oe(this.ids,this.coords,Nt,Kt,Wt,Pr,this.nodeSize)},ce.prototype.within=function(Nt,Kt,Wt){return ie(this.ids,this.coords,Nt,Kt,Wt,this.nodeSize)};var be={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(Jt){return Jt}},Ae=function(Nt){this.options=_e(Object.create(be),Nt),this.trees=new Array(this.options.maxZoom+1)};Ae.prototype.load=function(Nt){var Kt=this.options,Wt=Kt.log,Pr=Kt.minZoom,ta=Kt.maxZoom,ma=Kt.nodeSize;Wt&&console.time(\"total time\");var ra=\"prepare \"+Nt.length+\" points\";Wt&&console.time(ra),this.points=Nt;for(var Ia=[],Ha=0;Ha<Nt.length;Ha++)Nt[Ha].geometry&&Ia.push(Re(Nt[Ha],Ha));this.trees[ta+1]=new ce(Ia,fe,Fe,ma,Float32Array),Wt&&console.timeEnd(ra);for(var $a=ta;$a>=Pr;$a--){var ai=+Date.now();Ia=this._cluster(Ia,$a),this.trees[$a]=new ce(Ia,fe,Fe,ma,Float32Array),Wt&&console.log(\"z%d: %d clusters in %dms\",$a,Ia.length,+Date.now()-ai)}return Wt&&console.timeEnd(\"total time\"),this},Ae.prototype.getClusters=function(Nt,Kt){var Wt=((Nt[0]+180)%360+360)%360-180,Pr=Math.max(-90,Math.min(90,Nt[1])),ta=Nt[2]===180?180:((Nt[2]+180)%360+360)%360-180,ma=Math.max(-90,Math.min(90,Nt[3]));if(Nt[2]-Nt[0]>=360)Wt=-180,ta=180;else if(Wt>ta){var ra=this.getClusters([Wt,Pr,180,ma],Kt),Ia=this.getClusters([-180,Pr,ta,ma],Kt);return ra.concat(Ia)}for(var Ha=this.trees[this._limitZoom(Kt)],$a=Ha.range(ot(Wt),tt(ma),ot(ta),tt(Pr)),ai=[],mi=0,xt=$a;mi<xt.length;mi+=1){var ct=xt[mi],Nr=Ha.points[ct];ai.push(Nr.numPoints?Xe(Nr):this.points[Nr.index])}return ai},Ae.prototype.getChildren=function(Nt){var Kt=this._getOriginId(Nt),Wt=this._getOriginZoom(Nt),Pr=\"No cluster with the specified id.\",ta=this.trees[Wt];if(!ta)throw new Error(Pr);var ma=ta.points[Kt];if(!ma)throw new Error(Pr);for(var ra=this.options.radius/(this.options.extent*Math.pow(2,Wt-1)),Ia=ta.within(ma.x,ma.y,ra),Ha=[],$a=0,ai=Ia;$a<ai.length;$a+=1){var mi=ai[$a],xt=ta.points[mi];xt.parentId===Nt&&Ha.push(xt.numPoints?Xe(xt):this.points[xt.index])}if(Ha.length===0)throw new Error(Pr);return Ha},Ae.prototype.getLeaves=function(Nt,Kt,Wt){Kt=Kt||10,Wt=Wt||0;var Pr=[];return this._appendLeaves(Pr,Nt,Kt,Wt,0),Pr},Ae.prototype.getTile=function(Nt,Kt,Wt){var Pr=this.trees[this._limitZoom(Nt)],ta=Math.pow(2,Nt),ma=this.options,ra=ma.extent,Ia=ma.radius,Ha=Ia/ra,$a=(Wt-Ha)/ta,ai=(Wt+1+Ha)/ta,mi={features:[]};return this._addTileFeatures(Pr.range((Kt-Ha)/ta,$a,(Kt+1+Ha)/ta,ai),Pr.points,Kt,Wt,ta,mi),Kt===0&&this._addTileFeatures(Pr.range(1-Ha/ta,$a,1,ai),Pr.points,ta,Wt,ta,mi),Kt===ta-1&&this._addTileFeatures(Pr.range(0,$a,Ha/ta,ai),Pr.points,-1,Wt,ta,mi),mi.features.length?mi:null},Ae.prototype.getClusterExpansionZoom=function(Nt){for(var Kt=this._getOriginZoom(Nt)-1;Kt<=this.options.maxZoom;){var Wt=this.getChildren(Nt);if(Kt++,Wt.length!==1)break;Nt=Wt[0].properties.cluster_id}return Kt},Ae.prototype._appendLeaves=function(Nt,Kt,Wt,Pr,ta){for(var ma=this.getChildren(Kt),ra=0,Ia=ma;ra<Ia.length;ra+=1){var Ha=Ia[ra],$a=Ha.properties;if($a&&$a.cluster?ta+$a.point_count<=Pr?ta+=$a.point_count:ta=this._appendLeaves(Nt,$a.cluster_id,Wt,Pr,ta):ta<Pr?ta++:Nt.push(Ha),Nt.length===Wt)break}return ta},Ae.prototype._addTileFeatures=function(Nt,Kt,Wt,Pr,ta,ma){for(var ra=0,Ia=Nt;ra<Ia.length;ra+=1){var Ha=Ia[ra],$a=Kt[Ha],ai=$a.numPoints,mi={type:1,geometry:[[Math.round(this.options.extent*($a.x*ta-Wt)),Math.round(this.options.extent*($a.y*ta-Pr))]],tags:ai?it($a):this.points[$a.index].properties},xt=void 0;ai?xt=$a.id:this.options.generateId?xt=$a.index:this.points[$a.index].id&&(xt=this.points[$a.index].id),xt!==void 0&&(mi.id=xt),ma.features.push(mi)}},Ae.prototype._limitZoom=function(Nt){return Math.max(this.options.minZoom,Math.min(+Nt,this.options.maxZoom+1))},Ae.prototype._cluster=function(Nt,Kt){for(var Wt=[],Pr=this.options,ta=Pr.radius,ma=Pr.extent,ra=Pr.reduce,Ia=Pr.minPoints,Ha=ta/(ma*Math.pow(2,Kt)),$a=0;$a<Nt.length;$a++){var ai=Nt[$a];if(!(ai.zoom<=Kt)){ai.zoom=Kt;for(var mi=this.trees[Kt+1],xt=mi.within(ai.x,ai.y,Ha),ct=ai.numPoints||1,Nr=ct,Or=0,Rr=xt;Or<Rr.length;Or+=1){var Lr=Rr[Or],Gr=mi.points[Lr];Gr.zoom>Kt&&(Nr+=Gr.numPoints||1)}if(Nr>=Ia){for(var Kr=ai.x*ct,Ur=ai.y*ct,aa=ra&&ct>1?this._map(ai,!0):null,da=($a<<5)+(Kt+1)+this.points.length,fa=0,It=xt;fa<It.length;fa+=1){var dr=It[fa],kr=mi.points[dr];if(!(kr.zoom<=Kt)){kr.zoom=Kt;var ia=kr.numPoints||1;Kr+=kr.x*ia,Ur+=kr.y*ia,kr.parentId=da,ra&&(aa||(aa=this._map(ai,!0)),ra(aa,this._map(kr)))}}ai.parentId=da,Wt.push(ze(Kr/Nr,Ur/Nr,da,Nr,aa))}else if(Wt.push(ai),Nr>1)for(var Ca=0,Fa=xt;Ca<Fa.length;Ca+=1){var Ya=Fa[Ca],ha=mi.points[Ya];ha.zoom<=Kt||(ha.zoom=Kt,Wt.push(ha))}}}return Wt},Ae.prototype._getOriginId=function(Nt){return Nt-this.points.length>>5},Ae.prototype._getOriginZoom=function(Nt){return(Nt-this.points.length)%32},Ae.prototype._map=function(Nt,Kt){if(Nt.numPoints)return Kt?_e({},Nt.properties):Nt.properties;var Wt=this.points[Nt.index].properties,Pr=this.options.map(Wt);return Kt&&Pr===Wt?_e({},Pr):Pr};function ze(Jt,Nt,Kt,Wt,Pr){return{x:Jt,y:Nt,zoom:1/0,id:Kt,parentId:-1,numPoints:Wt,properties:Pr}}function Re(Jt,Nt){var Kt=Jt.geometry.coordinates,Wt=Kt[0],Pr=Kt[1];return{x:ot(Wt),y:tt(Pr),zoom:1/0,index:Nt,parentId:-1}}function Xe(Jt){return{type:\"Feature\",id:Jt.id,properties:it(Jt),geometry:{type:\"Point\",coordinates:[lt(Jt.x),Ee(Jt.y)]}}}function it(Jt){var Nt=Jt.numPoints,Kt=Nt>=1e4?Math.round(Nt/1e3)+\"k\":Nt>=1e3?Math.round(Nt/100)/10+\"k\":Nt;return _e(_e({},Jt.properties),{cluster:!0,cluster_id:Jt.id,point_count:Nt,point_count_abbreviated:Kt})}function ot(Jt){return Jt/360+.5}function tt(Jt){var Nt=Math.sin(Jt*Math.PI/180),Kt=.5-.25*Math.log((1+Nt)/(1-Nt))/Math.PI;return Kt<0?0:Kt>1?1:Kt}function lt(Jt){return(Jt-.5)*360}function Ee(Jt){var Nt=(180-Jt*360)*Math.PI/180;return 360*Math.atan(Math.exp(Nt))/Math.PI-90}function _e(Jt,Nt){for(var Kt in Nt)Jt[Kt]=Nt[Kt];return Jt}function fe(Jt){return Jt.x}function Fe(Jt){return Jt.y}function rt(Jt,Nt,Kt,Wt){for(var Pr=Wt,ta=Kt-Nt>>1,ma=Kt-Nt,ra,Ia=Jt[Nt],Ha=Jt[Nt+1],$a=Jt[Kt],ai=Jt[Kt+1],mi=Nt+3;mi<Kt;mi+=3){var xt=st(Jt[mi],Jt[mi+1],Ia,Ha,$a,ai);if(xt>Pr)ra=mi,Pr=xt;else if(xt===Pr){var ct=Math.abs(mi-ta);ct<ma&&(ra=mi,ma=ct)}}Pr>Wt&&(ra-Nt>3&&rt(Jt,Nt,ra,Wt),Jt[ra+2]=Pr,Kt-ra>3&&rt(Jt,ra,Kt,Wt))}function st(Jt,Nt,Kt,Wt,Pr,ta){var ma=Pr-Kt,ra=ta-Wt;if(ma!==0||ra!==0){var Ia=((Jt-Kt)*ma+(Nt-Wt)*ra)/(ma*ma+ra*ra);Ia>1?(Kt=Pr,Wt=ta):Ia>0&&(Kt+=ma*Ia,Wt+=ra*Ia)}return ma=Jt-Kt,ra=Nt-Wt,ma*ma+ra*ra}function Qe(Jt,Nt,Kt,Wt){var Pr={id:typeof Jt>\"u\"?null:Jt,type:Nt,geometry:Kt,tags:Wt,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return Lt(Pr),Pr}function Lt(Jt){var Nt=Jt.geometry,Kt=Jt.type;if(Kt===\"Point\"||Kt===\"MultiPoint\"||Kt===\"LineString\")kt(Jt,Nt);else if(Kt===\"Polygon\"||Kt===\"MultiLineString\")for(var Wt=0;Wt<Nt.length;Wt++)kt(Jt,Nt[Wt]);else if(Kt===\"MultiPolygon\")for(Wt=0;Wt<Nt.length;Wt++)for(var Pr=0;Pr<Nt[Wt].length;Pr++)kt(Jt,Nt[Wt][Pr])}function kt(Jt,Nt){for(var Kt=0;Kt<Nt.length;Kt+=3)Jt.minX=Math.min(Jt.minX,Nt[Kt]),Jt.minY=Math.min(Jt.minY,Nt[Kt+1]),Jt.maxX=Math.max(Jt.maxX,Nt[Kt]),Jt.maxY=Math.max(Jt.maxY,Nt[Kt+1])}function Vt(Jt,Nt){var Kt=[];if(Jt.type===\"FeatureCollection\")for(var Wt=0;Wt<Jt.features.length;Wt++)Zt(Kt,Jt.features[Wt],Nt,Wt);else Jt.type===\"Feature\"?Zt(Kt,Jt,Nt):Zt(Kt,{geometry:Jt},Nt);return Kt}function Zt(Jt,Nt,Kt,Wt){if(Nt.geometry){var Pr=Nt.geometry.coordinates,ta=Nt.geometry.type,ma=Math.pow(Kt.tolerance/((1<<Kt.maxZoom)*Kt.extent),2),ra=[],Ia=Nt.id;if(Kt.promoteId?Ia=Nt.properties[Kt.promoteId]:Kt.generateId&&(Ia=Wt||0),ta===\"Point\")Sr(Pr,ra);else if(ta===\"MultiPoint\")for(var Ha=0;Ha<Pr.length;Ha++)Sr(Pr[Ha],ra);else if(ta===\"LineString\")xr(Pr,ra,ma,!1);else if(ta===\"MultiLineString\")if(Kt.lineMetrics){for(Ha=0;Ha<Pr.length;Ha++)ra=[],xr(Pr[Ha],ra,ma,!1),Jt.push(Qe(Ia,\"LineString\",ra,Nt.properties));return}else jr(Pr,ra,ma,!1);else if(ta===\"Polygon\")jr(Pr,ra,ma,!0);else if(ta===\"MultiPolygon\")for(Ha=0;Ha<Pr.length;Ha++){var $a=[];jr(Pr[Ha],$a,ma,!0),ra.push($a)}else if(ta===\"GeometryCollection\"){for(Ha=0;Ha<Nt.geometry.geometries.length;Ha++)Zt(Jt,{id:Ia,geometry:Nt.geometry.geometries[Ha],properties:Nt.properties},Kt,Wt);return}else throw new Error(\"Input data is not a valid GeoJSON object.\");Jt.push(Qe(Ia,ta,ra,Nt.properties))}}function Sr(Jt,Nt){Nt.push(wr(Jt[0])),Nt.push(Ir(Jt[1])),Nt.push(0)}function xr(Jt,Nt,Kt,Wt){for(var Pr,ta,ma=0,ra=0;ra<Jt.length;ra++){var Ia=wr(Jt[ra][0]),Ha=Ir(Jt[ra][1]);Nt.push(Ia),Nt.push(Ha),Nt.push(0),ra>0&&(Wt?ma+=(Pr*Ha-Ia*ta)/2:ma+=Math.sqrt(Math.pow(Ia-Pr,2)+Math.pow(Ha-ta,2))),Pr=Ia,ta=Ha}var $a=Nt.length-3;Nt[2]=1,rt(Nt,0,$a,Kt),Nt[$a+2]=1,Nt.size=Math.abs(ma),Nt.start=0,Nt.end=Nt.size}function jr(Jt,Nt,Kt,Wt){for(var Pr=0;Pr<Jt.length;Pr++){var ta=[];xr(Jt[Pr],ta,Kt,Wt),Nt.push(ta)}}function wr(Jt){return Jt/360+.5}function Ir(Jt){var Nt=Math.sin(Jt*Math.PI/180),Kt=.5-.25*Math.log((1+Nt)/(1-Nt))/Math.PI;return Kt<0?0:Kt>1?1:Kt}function bt(Jt,Nt,Kt,Wt,Pr,ta,ma,ra){if(Kt/=Nt,Wt/=Nt,ta>=Kt&&ma<Wt)return Jt;if(ma<Kt||ta>=Wt)return null;for(var Ia=[],Ha=0;Ha<Jt.length;Ha++){var $a=Jt[Ha],ai=$a.geometry,mi=$a.type,xt=Pr===0?$a.minX:$a.minY,ct=Pr===0?$a.maxX:$a.maxY;if(xt>=Kt&&ct<Wt){Ia.push($a);continue}else if(ct<Kt||xt>=Wt)continue;var Nr=[];if(mi===\"Point\"||mi===\"MultiPoint\")Be(ai,Nr,Kt,Wt,Pr);else if(mi===\"LineString\")Ke(ai,Nr,Kt,Wt,Pr,!1,ra.lineMetrics);else if(mi===\"MultiLineString\")Me(ai,Nr,Kt,Wt,Pr,!1);else if(mi===\"Polygon\")Me(ai,Nr,Kt,Wt,Pr,!0);else if(mi===\"MultiPolygon\")for(var Or=0;Or<ai.length;Or++){var Rr=[];Me(ai[Or],Rr,Kt,Wt,Pr,!0),Rr.length&&Nr.push(Rr)}if(Nr.length){if(ra.lineMetrics&&mi===\"LineString\"){for(Or=0;Or<Nr.length;Or++)Ia.push(Qe($a.id,mi,Nr[Or],$a.tags));continue}(mi===\"LineString\"||mi===\"MultiLineString\")&&(Nr.length===1?(mi=\"LineString\",Nr=Nr[0]):mi=\"MultiLineString\"),(mi===\"Point\"||mi===\"MultiPoint\")&&(mi=Nr.length===3?\"Point\":\"MultiPoint\"),Ia.push(Qe($a.id,mi,Nr,$a.tags))}}return Ia.length?Ia:null}function Be(Jt,Nt,Kt,Wt,Pr){for(var ta=0;ta<Jt.length;ta+=3){var ma=Jt[ta+Pr];ma>=Kt&&ma<=Wt&&(Nt.push(Jt[ta]),Nt.push(Jt[ta+1]),Nt.push(Jt[ta+2]))}}function Ke(Jt,Nt,Kt,Wt,Pr,ta,ma){for(var ra=Ue(Jt),Ia=Pr===0?Ce:Te,Ha=Jt.start,$a,ai,mi=0;mi<Jt.length-3;mi+=3){var xt=Jt[mi],ct=Jt[mi+1],Nr=Jt[mi+2],Or=Jt[mi+3],Rr=Jt[mi+4],Lr=Pr===0?xt:ct,Gr=Pr===0?Or:Rr,Kr=!1;ma&&($a=Math.sqrt(Math.pow(xt-Or,2)+Math.pow(ct-Rr,2))),Lr<Kt?Gr>Kt&&(ai=Ia(ra,xt,ct,Or,Rr,Kt),ma&&(ra.start=Ha+$a*ai)):Lr>Wt?Gr<Wt&&(ai=Ia(ra,xt,ct,Or,Rr,Wt),ma&&(ra.start=Ha+$a*ai)):qe(ra,xt,ct,Nr),Gr<Kt&&Lr>=Kt&&(ai=Ia(ra,xt,ct,Or,Rr,Kt),Kr=!0),Gr>Wt&&Lr<=Wt&&(ai=Ia(ra,xt,ct,Or,Rr,Wt),Kr=!0),!ta&&Kr&&(ma&&(ra.end=Ha+$a*ai),Nt.push(ra),ra=Ue(Jt)),ma&&(Ha+=$a)}var Ur=Jt.length-3;xt=Jt[Ur],ct=Jt[Ur+1],Nr=Jt[Ur+2],Lr=Pr===0?xt:ct,Lr>=Kt&&Lr<=Wt&&qe(ra,xt,ct,Nr),Ur=ra.length-3,ta&&Ur>=3&&(ra[Ur]!==ra[0]||ra[Ur+1]!==ra[1])&&qe(ra,ra[0],ra[1],ra[2]),ra.length&&Nt.push(ra)}function Ue(Jt){var Nt=[];return Nt.size=Jt.size,Nt.start=Jt.start,Nt.end=Jt.end,Nt}function Me(Jt,Nt,Kt,Wt,Pr,ta){for(var ma=0;ma<Jt.length;ma++)Ke(Jt[ma],Nt,Kt,Wt,Pr,ta,!1)}function qe(Jt,Nt,Kt,Wt){Jt.push(Nt),Jt.push(Kt),Jt.push(Wt)}function Ce(Jt,Nt,Kt,Wt,Pr,ta){var ma=(ta-Nt)/(Wt-Nt);return Jt.push(ta),Jt.push(Kt+(Pr-Kt)*ma),Jt.push(1),ma}function Te(Jt,Nt,Kt,Wt,Pr,ta){var ma=(ta-Kt)/(Pr-Kt);return Jt.push(Nt+(Wt-Nt)*ma),Jt.push(ta),Jt.push(1),ma}function Pe(Jt,Nt){var Kt=Nt.buffer/Nt.extent,Wt=Jt,Pr=bt(Jt,1,-1-Kt,Kt,0,-1,2,Nt),ta=bt(Jt,1,1-Kt,2+Kt,0,-1,2,Nt);return(Pr||ta)&&(Wt=bt(Jt,1,-Kt,1+Kt,0,-1,2,Nt)||[],Pr&&(Wt=at(Pr,1).concat(Wt)),ta&&(Wt=Wt.concat(at(ta,-1)))),Wt}function at(Jt,Nt){for(var Kt=[],Wt=0;Wt<Jt.length;Wt++){var Pr=Jt[Wt],ta=Pr.type,ma;if(ta===\"Point\"||ta===\"MultiPoint\"||ta===\"LineString\")ma=yt(Pr.geometry,Nt);else if(ta===\"MultiLineString\"||ta===\"Polygon\"){ma=[];for(var ra=0;ra<Pr.geometry.length;ra++)ma.push(yt(Pr.geometry[ra],Nt))}else if(ta===\"MultiPolygon\")for(ma=[],ra=0;ra<Pr.geometry.length;ra++){for(var Ia=[],Ha=0;Ha<Pr.geometry[ra].length;Ha++)Ia.push(yt(Pr.geometry[ra][Ha],Nt));ma.push(Ia)}Kt.push(Qe(Pr.id,ta,ma,Pr.tags))}return Kt}function yt(Jt,Nt){var Kt=[];Kt.size=Jt.size,Jt.start!==void 0&&(Kt.start=Jt.start,Kt.end=Jt.end);for(var Wt=0;Wt<Jt.length;Wt+=3)Kt.push(Jt[Wt]+Nt,Jt[Wt+1],Jt[Wt+2]);return Kt}function Tt(Jt,Nt){if(Jt.transformed)return Jt;var Kt=1<<Jt.z,Wt=Jt.x,Pr=Jt.y,ta,ma,ra;for(ta=0;ta<Jt.features.length;ta++){var Ia=Jt.features[ta],Ha=Ia.geometry,$a=Ia.type;if(Ia.geometry=[],$a===1)for(ma=0;ma<Ha.length;ma+=2)Ia.geometry.push(Ot(Ha[ma],Ha[ma+1],Nt,Kt,Wt,Pr));else for(ma=0;ma<Ha.length;ma++){var ai=[];for(ra=0;ra<Ha[ma].length;ra+=2)ai.push(Ot(Ha[ma][ra],Ha[ma][ra+1],Nt,Kt,Wt,Pr));Ia.geometry.push(ai)}}return Jt.transformed=!0,Jt}function Ot(Jt,Nt,Kt,Wt,Pr,ta){return[Math.round(Kt*(Jt*Wt-Pr)),Math.round(Kt*(Nt*Wt-ta))]}function Gt(Jt,Nt,Kt,Wt,Pr){for(var ta=Nt===Pr.maxZoom?0:Pr.tolerance/((1<<Nt)*Pr.extent),ma={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:Kt,y:Wt,z:Nt,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},ra=0;ra<Jt.length;ra++){ma.numFeatures++,rr(ma,Jt[ra],ta,Pr);var Ia=Jt[ra].minX,Ha=Jt[ra].minY,$a=Jt[ra].maxX,ai=Jt[ra].maxY;Ia<ma.minX&&(ma.minX=Ia),Ha<ma.minY&&(ma.minY=Ha),$a>ma.maxX&&(ma.maxX=$a),ai>ma.maxY&&(ma.maxY=ai)}return ma}function rr(Jt,Nt,Kt,Wt){var Pr=Nt.geometry,ta=Nt.type,ma=[];if(ta===\"Point\"||ta===\"MultiPoint\")for(var ra=0;ra<Pr.length;ra+=3)ma.push(Pr[ra]),ma.push(Pr[ra+1]),Jt.numPoints++,Jt.numSimplified++;else if(ta===\"LineString\")Qt(ma,Pr,Jt,Kt,!1,!1);else if(ta===\"MultiLineString\"||ta===\"Polygon\")for(ra=0;ra<Pr.length;ra++)Qt(ma,Pr[ra],Jt,Kt,ta===\"Polygon\",ra===0);else if(ta===\"MultiPolygon\")for(var Ia=0;Ia<Pr.length;Ia++){var Ha=Pr[Ia];for(ra=0;ra<Ha.length;ra++)Qt(ma,Ha[ra],Jt,Kt,!0,ra===0)}if(ma.length){var $a=Nt.tags||null;if(ta===\"LineString\"&&Wt.lineMetrics){$a={};for(var ai in Nt.tags)$a[ai]=Nt.tags[ai];$a.mapbox_clip_start=Pr.start/Pr.size,$a.mapbox_clip_end=Pr.end/Pr.size}var mi={geometry:ma,type:ta===\"Polygon\"||ta===\"MultiPolygon\"?3:ta===\"LineString\"||ta===\"MultiLineString\"?2:1,tags:$a};Nt.id!==null&&(mi.id=Nt.id),Jt.features.push(mi)}}function Qt(Jt,Nt,Kt,Wt,Pr,ta){var ma=Wt*Wt;if(Wt>0&&Nt.size<(Pr?ma:Wt)){Kt.numPoints+=Nt.length/3;return}for(var ra=[],Ia=0;Ia<Nt.length;Ia+=3)(Wt===0||Nt[Ia+2]>ma)&&(Kt.numSimplified++,ra.push(Nt[Ia]),ra.push(Nt[Ia+1])),Kt.numPoints++;Pr&&Tr(ra,ta),Jt.push(ra)}function Tr(Jt,Nt){for(var Kt=0,Wt=0,Pr=Jt.length,ta=Pr-2;Wt<Pr;ta=Wt,Wt+=2)Kt+=(Jt[Wt]-Jt[ta])*(Jt[Wt+1]+Jt[ta+1]);if(Kt>0===Nt)for(Wt=0,Pr=Jt.length;Wt<Pr/2;Wt+=2){var ma=Jt[Wt],ra=Jt[Wt+1];Jt[Wt]=Jt[Pr-2-Wt],Jt[Wt+1]=Jt[Pr-1-Wt],Jt[Pr-2-Wt]=ma,Jt[Pr-1-Wt]=ra}}function la(Jt,Nt){return new Ua(Jt,Nt)}function Ua(Jt,Nt){Nt=this.options=Ra(Object.create(this.options),Nt);var Kt=Nt.debug;if(Kt&&console.time(\"preprocess data\"),Nt.maxZoom<0||Nt.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(Nt.promoteId&&Nt.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var Wt=Vt(Jt,Nt);this.tiles={},this.tileCoords=[],Kt&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",Nt.indexMaxZoom,Nt.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),Wt=Pe(Wt,Nt),Wt.length&&this.splitTile(Wt,0,0,0),Kt&&(Wt.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}Ua.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Ua.prototype.splitTile=function(Jt,Nt,Kt,Wt,Pr,ta,ma){for(var ra=[Jt,Nt,Kt,Wt],Ia=this.options,Ha=Ia.debug;ra.length;){Wt=ra.pop(),Kt=ra.pop(),Nt=ra.pop(),Jt=ra.pop();var $a=1<<Nt,ai=Ba(Nt,Kt,Wt),mi=this.tiles[ai];if(!mi&&(Ha>1&&console.time(\"creation\"),mi=this.tiles[ai]=Gt(Jt,Nt,Kt,Wt,Ia),this.tileCoords.push({z:Nt,x:Kt,y:Wt}),Ha)){Ha>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",Nt,Kt,Wt,mi.numFeatures,mi.numPoints,mi.numSimplified),console.timeEnd(\"creation\"));var xt=\"z\"+Nt;this.stats[xt]=(this.stats[xt]||0)+1,this.total++}if(mi.source=Jt,Pr){if(Nt===Ia.maxZoom||Nt===Pr)continue;var ct=1<<Pr-Nt;if(Kt!==Math.floor(ta/ct)||Wt!==Math.floor(ma/ct))continue}else if(Nt===Ia.indexMaxZoom||mi.numPoints<=Ia.indexMaxPoints)continue;if(mi.source=null,Jt.length!==0){Ha>1&&console.time(\"clipping\");var Nr=.5*Ia.buffer/Ia.extent,Or=.5-Nr,Rr=.5+Nr,Lr=1+Nr,Gr,Kr,Ur,aa,da,fa;Gr=Kr=Ur=aa=null,da=bt(Jt,$a,Kt-Nr,Kt+Rr,0,mi.minX,mi.maxX,Ia),fa=bt(Jt,$a,Kt+Or,Kt+Lr,0,mi.minX,mi.maxX,Ia),Jt=null,da&&(Gr=bt(da,$a,Wt-Nr,Wt+Rr,1,mi.minY,mi.maxY,Ia),Kr=bt(da,$a,Wt+Or,Wt+Lr,1,mi.minY,mi.maxY,Ia),da=null),fa&&(Ur=bt(fa,$a,Wt-Nr,Wt+Rr,1,mi.minY,mi.maxY,Ia),aa=bt(fa,$a,Wt+Or,Wt+Lr,1,mi.minY,mi.maxY,Ia),fa=null),Ha>1&&console.timeEnd(\"clipping\"),ra.push(Gr||[],Nt+1,Kt*2,Wt*2),ra.push(Kr||[],Nt+1,Kt*2,Wt*2+1),ra.push(Ur||[],Nt+1,Kt*2+1,Wt*2),ra.push(aa||[],Nt+1,Kt*2+1,Wt*2+1)}}},Ua.prototype.getTile=function(Jt,Nt,Kt){var Wt=this.options,Pr=Wt.extent,ta=Wt.debug;if(Jt<0||Jt>24)return null;var ma=1<<Jt;Nt=(Nt%ma+ma)%ma;var ra=Ba(Jt,Nt,Kt);if(this.tiles[ra])return Tt(this.tiles[ra],Pr);ta>1&&console.log(\"drilling down to z%d-%d-%d\",Jt,Nt,Kt);for(var Ia=Jt,Ha=Nt,$a=Kt,ai;!ai&&Ia>0;)Ia--,Ha=Math.floor(Ha/2),$a=Math.floor($a/2),ai=this.tiles[Ba(Ia,Ha,$a)];return!ai||!ai.source?null:(ta>1&&console.log(\"found parent tile z%d-%d-%d\",Ia,Ha,$a),ta>1&&console.time(\"drilling down\"),this.splitTile(ai.source,Ia,Ha,$a,Jt,Nt,Kt),ta>1&&console.timeEnd(\"drilling down\"),this.tiles[ra]?Tt(this.tiles[ra],Pr):null)};function Ba(Jt,Nt,Kt){return((1<<Jt)*Kt+Nt)*32+Jt}function Ra(Jt,Nt){for(var Kt in Nt)Jt[Kt]=Nt[Kt];return Jt}function ei(Jt,Nt){var Kt=Jt.tileID.canonical;if(!this._geoJSONIndex)return Nt(null,null);var Wt=this._geoJSONIndex.getTile(Kt.z,Kt.x,Kt.y);if(!Wt)return Nt(null,null);var Pr=new b(Wt.features),ta=P(Pr);(ta.byteOffset!==0||ta.byteLength!==ta.buffer.byteLength)&&(ta=new Uint8Array(ta)),Nt(null,{vectorTile:Pr,rawData:ta.buffer})}var za=function(Jt){function Nt(Kt,Wt,Pr,ta){Jt.call(this,Kt,Wt,Pr,ei),ta&&(this.loadGeoJSON=ta)}return Jt&&(Nt.__proto__=Jt),Nt.prototype=Object.create(Jt&&Jt.prototype),Nt.prototype.constructor=Nt,Nt.prototype.loadData=function(Wt,Pr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=Pr,this._pendingLoadDataParams=Wt,this._state&&this._state!==\"Idle\"?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},Nt.prototype._loadData=function(){var Wt=this;if(!(!this._pendingCallback||!this._pendingLoadDataParams)){var Pr=this._pendingCallback,ta=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var ma=ta&&ta.request&&ta.request.collectResourceTiming?new e.RequestPerformance(ta.request):!1;this.loadGeoJSON(ta,function(ra,Ia){if(ra||!Ia)return Pr(ra);if(typeof Ia!=\"object\")return Pr(new Error(\"Input data given to '\"+ta.source+\"' is not a valid GeoJSON object.\"));l(Ia,!0);try{if(ta.filter){var Ha=e.createExpression(ta.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(Ha.result===\"error\")throw new Error(Ha.value.map(function(xt){return xt.key+\": \"+xt.message}).join(\", \"));var $a=Ia.features.filter(function(xt){return Ha.value.evaluate({zoom:0},xt)});Ia={type:\"FeatureCollection\",features:$a}}Wt._geoJSONIndex=ta.cluster?new Ae(ti(ta)).load(Ia.features):la(Ia,ta.geojsonVtOptions)}catch(xt){return Pr(xt)}Wt.loaded={};var ai={};if(ma){var mi=ma.finish();mi&&(ai.resourceTiming={},ai.resourceTiming[ta.source]=JSON.parse(JSON.stringify(mi)))}Pr(null,ai)})}},Nt.prototype.coalesce=function(){this._state===\"Coalescing\"?this._state=\"Idle\":this._state===\"NeedsLoadData\"&&(this._state=\"Coalescing\",this._loadData())},Nt.prototype.reloadTile=function(Wt,Pr){var ta=this.loaded,ma=Wt.uid;return ta&&ta[ma]?Jt.prototype.reloadTile.call(this,Wt,Pr):this.loadTile(Wt,Pr)},Nt.prototype.loadGeoJSON=function(Wt,Pr){if(Wt.request)e.getJSON(Wt.request,Pr);else if(typeof Wt.data==\"string\")try{return Pr(null,JSON.parse(Wt.data))}catch{return Pr(new Error(\"Input data given to '\"+Wt.source+\"' is not a valid GeoJSON object.\"))}else return Pr(new Error(\"Input data given to '\"+Wt.source+\"' is not a valid GeoJSON object.\"))},Nt.prototype.removeSource=function(Wt,Pr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),Pr()},Nt.prototype.getClusterExpansionZoom=function(Wt,Pr){try{Pr(null,this._geoJSONIndex.getClusterExpansionZoom(Wt.clusterId))}catch(ta){Pr(ta)}},Nt.prototype.getClusterChildren=function(Wt,Pr){try{Pr(null,this._geoJSONIndex.getChildren(Wt.clusterId))}catch(ta){Pr(ta)}},Nt.prototype.getClusterLeaves=function(Wt,Pr){try{Pr(null,this._geoJSONIndex.getLeaves(Wt.clusterId,Wt.limit,Wt.offset))}catch(ta){Pr(ta)}},Nt}(g);function ti(Jt){var Nt=Jt.superclusterOptions,Kt=Jt.clusterProperties;if(!Kt||!Nt)return Nt;for(var Wt={},Pr={},ta={accumulated:null,zoom:0},ma={properties:null},ra=Object.keys(Kt),Ia=0,Ha=ra;Ia<Ha.length;Ia+=1){var $a=Ha[Ia],ai=Kt[$a],mi=ai[0],xt=ai[1],ct=e.createExpression(xt),Nr=e.createExpression(typeof mi==\"string\"?[mi,[\"accumulated\"],[\"get\",$a]]:mi);Wt[$a]=ct.value,Pr[$a]=Nr.value}return Nt.map=function(Or){ma.properties=Or;for(var Rr={},Lr=0,Gr=ra;Lr<Gr.length;Lr+=1){var Kr=Gr[Lr];Rr[Kr]=Wt[Kr].evaluate(ta,ma)}return Rr},Nt.reduce=function(Or,Rr){ma.properties=Rr;for(var Lr=0,Gr=ra;Lr<Gr.length;Lr+=1){var Kr=Gr[Lr];ta.accumulated=Or[Kr],Or[Kr]=Pr[Kr].evaluate(ta,ma)}},Nt}var Ci=function(Nt){var Kt=this;this.self=Nt,this.actor=new e.Actor(Nt,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:g,geojson:za},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(Wt,Pr){if(Kt.workerSourceTypes[Wt])throw new Error('Worker source with name \"'+Wt+'\" already registered.');Kt.workerSourceTypes[Wt]=Pr},this.self.registerRTLTextPlugin=function(Wt){if(e.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");e.plugin.applyArabicShaping=Wt.applyArabicShaping,e.plugin.processBidirectionalText=Wt.processBidirectionalText,e.plugin.processStyledBidirectionalText=Wt.processStyledBidirectionalText}};return Ci.prototype.setReferrer=function(Nt,Kt){this.referrer=Kt},Ci.prototype.setImages=function(Nt,Kt,Wt){this.availableImages[Nt]=Kt;for(var Pr in this.workerSources[Nt]){var ta=this.workerSources[Nt][Pr];for(var ma in ta)ta[ma].availableImages=Kt}Wt()},Ci.prototype.setLayers=function(Nt,Kt,Wt){this.getLayerIndex(Nt).replace(Kt),Wt()},Ci.prototype.updateLayers=function(Nt,Kt,Wt){this.getLayerIndex(Nt).update(Kt.layers,Kt.removedIds),Wt()},Ci.prototype.loadTile=function(Nt,Kt,Wt){this.getWorkerSource(Nt,Kt.type,Kt.source).loadTile(Kt,Wt)},Ci.prototype.loadDEMTile=function(Nt,Kt,Wt){this.getDEMWorkerSource(Nt,Kt.source).loadTile(Kt,Wt)},Ci.prototype.reloadTile=function(Nt,Kt,Wt){this.getWorkerSource(Nt,Kt.type,Kt.source).reloadTile(Kt,Wt)},Ci.prototype.abortTile=function(Nt,Kt,Wt){this.getWorkerSource(Nt,Kt.type,Kt.source).abortTile(Kt,Wt)},Ci.prototype.removeTile=function(Nt,Kt,Wt){this.getWorkerSource(Nt,Kt.type,Kt.source).removeTile(Kt,Wt)},Ci.prototype.removeDEMTile=function(Nt,Kt){this.getDEMWorkerSource(Nt,Kt.source).removeTile(Kt)},Ci.prototype.removeSource=function(Nt,Kt,Wt){if(!(!this.workerSources[Nt]||!this.workerSources[Nt][Kt.type]||!this.workerSources[Nt][Kt.type][Kt.source])){var Pr=this.workerSources[Nt][Kt.type][Kt.source];delete this.workerSources[Nt][Kt.type][Kt.source],Pr.removeSource!==void 0?Pr.removeSource(Kt,Wt):Wt()}},Ci.prototype.loadWorkerSource=function(Nt,Kt,Wt){try{this.self.importScripts(Kt.url),Wt()}catch(Pr){Wt(Pr.toString())}},Ci.prototype.syncRTLPluginState=function(Nt,Kt,Wt){try{e.plugin.setState(Kt);var Pr=e.plugin.getPluginURL();if(e.plugin.isLoaded()&&!e.plugin.isParsed()&&Pr!=null){this.self.importScripts(Pr);var ta=e.plugin.isParsed(),ma=ta?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+Pr);Wt(ma,ta)}}catch(ra){Wt(ra.toString())}},Ci.prototype.getAvailableImages=function(Nt){var Kt=this.availableImages[Nt];return Kt||(Kt=[]),Kt},Ci.prototype.getLayerIndex=function(Nt){var Kt=this.layerIndexes[Nt];return Kt||(Kt=this.layerIndexes[Nt]=new a),Kt},Ci.prototype.getWorkerSource=function(Nt,Kt,Wt){var Pr=this;if(this.workerSources[Nt]||(this.workerSources[Nt]={}),this.workerSources[Nt][Kt]||(this.workerSources[Nt][Kt]={}),!this.workerSources[Nt][Kt][Wt]){var ta={send:function(ma,ra,Ia){Pr.actor.send(ma,ra,Ia,Nt)}};this.workerSources[Nt][Kt][Wt]=new this.workerSourceTypes[Kt](ta,this.getLayerIndex(Nt),this.getAvailableImages(Nt))}return this.workerSources[Nt][Kt][Wt]},Ci.prototype.getDEMWorkerSource=function(Nt,Kt){return this.demWorkerSources[Nt]||(this.demWorkerSources[Nt]={}),this.demWorkerSources[Nt][Kt]||(this.demWorkerSources[Nt][Kt]=new T),this.demWorkerSources[Nt][Kt]},Ci.prototype.enforceCacheSizeLimit=function(Nt,Kt){e.enforceCacheSizeLimit(Kt)},typeof WorkerGlobalScope<\"u\"&&typeof self<\"u\"&&self instanceof WorkerGlobalScope&&(self.worker=new Ci(self)),Ci}),M([\"./shared\"],function(e){\"use strict\";var 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e.RGBAImage({width:Et,height:Ft});e.RGBAImage.copy(_r,qt,{x:ir,y:fr},{x:0,y:0},{width:Et,height:Ft}),Fr[hr]={data:qt,pixelRatio:pr,sdf:sr,stretchX:lr,stretchY:Xt,content:or}}ye(null,Fr)}}return{cancel:function(){$e&&($e.cancel(),$e=null),mt&&(mt.cancel(),mt=null)}}}function T(ve){var Y=ve.userImage;if(Y&&Y.render){var ye=Y.render();if(ye)return ve.data.replace(new Uint8Array(Y.data.buffer)),!0}return!1}var l=1,_=function(ve){function Y(){ve.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new e.RGBAImage({width:1,height:1}),this.dirty=!0}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.isLoaded=function(){return this.loaded},Y.prototype.setLoaded=function(te){if(this.loaded!==te&&(this.loaded=te,te)){for(var me=0,Ge=this.requestors;me<Ge.length;me+=1){var Le=Ge[me],$e=Le.ids,mt=Le.callback;this._notify($e,mt)}this.requestors=[]}},Y.prototype.getImage=function(te){return this.images[te]},Y.prototype.addImage=function(te,me){this._validate(te,me)&&(this.images[te]=me)},Y.prototype._validate=function(te,me){var Ge=!0;return this._validateStretch(me.stretchX,me.data&&me.data.width)||(this.fire(new e.ErrorEvent(new Error('Image \"'+te+'\" has invalid \"stretchX\" value'))),Ge=!1),this._validateStretch(me.stretchY,me.data&&me.data.height)||(this.fire(new e.ErrorEvent(new Error('Image \"'+te+'\" has invalid \"stretchY\" value'))),Ge=!1),this._validateContent(me.content,me)||(this.fire(new e.ErrorEvent(new Error('Image \"'+te+'\" has invalid \"content\" value'))),Ge=!1),Ge},Y.prototype._validateStretch=function(te,me){if(!te)return!0;for(var Ge=0,Le=0,$e=te;Le<$e.length;Le+=1){var mt=$e[Le];if(mt[0]<Ge||mt[1]<mt[0]||me<mt[1])return!1;Ge=mt[1]}return!0},Y.prototype._validateContent=function(te,me){return te?!(te.length!==4||te[0]<0||me.data.width<te[0]||te[1]<0||me.data.height<te[1]||te[2]<0||me.data.width<te[2]||te[3]<0||me.data.height<te[3]||te[2]<te[0]||te[3]<te[1]):!0},Y.prototype.updateImage=function(te,me){var Ge=this.images[te];me.version=Ge.version+1,this.images[te]=me,this.updatedImages[te]=!0},Y.prototype.removeImage=function(te){var me=this.images[te];delete this.images[te],delete this.patterns[te],me.userImage&&me.userImage.onRemove&&me.userImage.onRemove()},Y.prototype.listImages=function(){return Object.keys(this.images)},Y.prototype.getImages=function(te,me){var Ge=!0;if(!this.isLoaded())for(var Le=0,$e=te;Le<$e.length;Le+=1){var mt=$e[Le];this.images[mt]||(Ge=!1)}this.isLoaded()||Ge?this._notify(te,me):this.requestors.push({ids:te,callback:me})},Y.prototype._notify=function(te,me){for(var Ge={},Le=0,$e=te;Le<$e.length;Le+=1){var mt=$e[Le];this.images[mt]||this.fire(new e.Event(\"styleimagemissing\",{id:mt}));var jt=this.images[mt];jt?Ge[mt]={data:jt.data.clone(),pixelRatio:jt.pixelRatio,sdf:jt.sdf,version:jt.version,stretchX:jt.stretchX,stretchY:jt.stretchY,content:jt.content,hasRenderCallback:!!(jt.userImage&&jt.userImage.render)}:e.warnOnce('Image \"'+mt+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. 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Ge=e.potpack(te),Le=Ge.w,$e=Ge.h,mt=this.atlasImage;mt.resize({width:Le||1,height:$e||1});for(var jt in this.patterns){var _r=this.patterns[jt],Fr=_r.bin,hr=Fr.x+l,gt=Fr.y+l,Et=this.images[jt].data,Ft=Et.width,ir=Et.height;e.RGBAImage.copy(Et,mt,{x:0,y:0},{x:hr,y:gt},{width:Ft,height:ir}),e.RGBAImage.copy(Et,mt,{x:0,y:ir-1},{x:hr,y:gt-1},{width:Ft,height:1}),e.RGBAImage.copy(Et,mt,{x:0,y:0},{x:hr,y:gt+ir},{width:Ft,height:1}),e.RGBAImage.copy(Et,mt,{x:Ft-1,y:0},{x:hr-1,y:gt},{width:1,height:ir}),e.RGBAImage.copy(Et,mt,{x:0,y:0},{x:hr+Ft,y:gt},{width:1,height:ir})}this.dirty=!0},Y.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},Y.prototype.dispatchRenderCallbacks=function(te){for(var me=0,Ge=te;me<Ge.length;me+=1){var Le=Ge[me];if(!this.callbackDispatchedThisFrame[Le]){this.callbackDispatchedThisFrame[Le]=!0;var $e=this.images[Le],mt=T($e);mt&&this.updateImage(Le,$e)}}},Y}(e.Evented);function w(ve,Y,ye,te,me){var Ge=Y*256,Le=Ge+255,$e=te.transformRequest(te.normalizeGlyphsURL(ye).replace(\"{fontstack}\",ve).replace(\"{range}\",Ge+\"-\"+Le),e.ResourceType.Glyphs);e.getArrayBuffer($e,function(mt,jt){if(mt)me(mt);else if(jt){for(var _r={},Fr=0,hr=e.parseGlyphPBF(jt);Fr<hr.length;Fr+=1){var gt=hr[Fr];_r[gt.id]=gt}me(null,_r)}})}var S=b,E=b,y=1e20;function b(ve,Y,ye,te,me,Ge){this.fontSize=ve||24,this.buffer=Y===void 0?3:Y,this.cutoff=te||.25,this.fontFamily=me||\"sans-serif\",this.fontWeight=Ge||\"normal\",this.radius=ye||8;var Le=this.size=this.fontSize+this.buffer*2;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=Le,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(Le*Le),this.gridInner=new Float64Array(Le*Le),this.f=new Float64Array(Le),this.d=new Float64Array(Le),this.z=new Float64Array(Le+1),this.v=new Int16Array(Le),this.middle=Math.round(Le/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}b.prototype.draw=function(ve){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(ve,this.buffer,this.middle);for(var Y=this.ctx.getImageData(0,0,this.size,this.size),ye=new Uint8ClampedArray(this.size*this.size),te=0;te<this.size*this.size;te++){var me=Y.data[te*4+3]/255;this.gridOuter[te]=me===1?0:me===0?y:Math.pow(Math.max(0,.5-me),2),this.gridInner[te]=me===1?y:me===0?0:Math.pow(Math.max(0,me-.5),2)}for(p(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),p(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),te=0;te<this.size*this.size;te++){var Ge=this.gridOuter[te]-this.gridInner[te];ye[te]=Math.max(0,Math.min(255,Math.round(255-255*(Ge/this.radius+this.cutoff))))}return ye};function p(ve,Y,ye,te,me,Ge,Le){for(var $e=0;$e<Y;$e++){for(var mt=0;mt<ye;mt++)te[mt]=ve[mt*Y+$e];for(u(te,me,Ge,Le,ye),mt=0;mt<ye;mt++)ve[mt*Y+$e]=me[mt]}for(mt=0;mt<ye;mt++){for($e=0;$e<Y;$e++)te[$e]=ve[mt*Y+$e];for(u(te,me,Ge,Le,Y),$e=0;$e<Y;$e++)ve[mt*Y+$e]=Math.sqrt(me[$e])}}function u(ve,Y,ye,te,me){ye[0]=0,te[0]=-y,te[1]=+y;for(var Ge=1,Le=0;Ge<me;Ge++){for(var $e=(ve[Ge]+Ge*Ge-(ve[ye[Le]]+ye[Le]*ye[Le]))/(2*Ge-2*ye[Le]);$e<=te[Le];)Le--,$e=(ve[Ge]+Ge*Ge-(ve[ye[Le]]+ye[Le]*ye[Le]))/(2*Ge-2*ye[Le]);Le++,ye[Le]=Ge,te[Le]=$e,te[Le+1]=+y}for(Ge=0,Le=0;Ge<me;Ge++){for(;te[Le+1]<Ge;)Le++;Y[Ge]=(Ge-ye[Le])*(Ge-ye[Le])+ve[ye[Le]]}}S.default=E;var m=function(Y,ye){this.requestManager=Y,this.localIdeographFontFamily=ye,this.entries={}};m.prototype.setURL=function(Y){this.url=Y},m.prototype.getGlyphs=function(Y,ye){var te=this,me=[];for(var Ge in Y)for(var Le=0,$e=Y[Ge];Le<$e.length;Le+=1){var mt=$e[Le];me.push({stack:Ge,id:mt})}e.asyncAll(me,function(jt,_r){var Fr=jt.stack,hr=jt.id,gt=te.entries[Fr];gt||(gt=te.entries[Fr]={glyphs:{},requests:{},ranges:{}});var Et=gt.glyphs[hr];if(Et!==void 0){_r(null,{stack:Fr,id:hr,glyph:Et});return}if(Et=te._tinySDF(gt,Fr,hr),Et){gt.glyphs[hr]=Et,_r(null,{stack:Fr,id:hr,glyph:Et});return}var Ft=Math.floor(hr/256);if(Ft*256>65535){_r(new Error(\"glyphs > 65535 not supported\"));return}if(gt.ranges[Ft]){_r(null,{stack:Fr,id:hr,glyph:Et});return}var ir=gt.requests[Ft];ir||(ir=gt.requests[Ft]=[],m.loadGlyphRange(Fr,Ft,te.url,te.requestManager,function(fr,sr){if(sr){for(var pr in sr)te._doesCharSupportLocalGlyph(+pr)||(gt.glyphs[+pr]=sr[+pr]);gt.ranges[Ft]=!0}for(var lr=0,Xt=ir;lr<Xt.length;lr+=1){var or=Xt[lr];or(fr,sr)}delete gt.requests[Ft]})),ir.push(function(fr,sr){fr?_r(fr):sr&&_r(null,{stack:Fr,id:hr,glyph:sr[hr]||null})})},function(jt,_r){if(jt)ye(jt);else if(_r){for(var Fr={},hr=0,gt=_r;hr<gt.length;hr+=1){var Et=gt[hr],Ft=Et.stack,ir=Et.id,fr=Et.glyph;(Fr[Ft]||(Fr[Ft]={}))[ir]=fr&&{id:fr.id,bitmap:fr.bitmap.clone(),metrics:fr.metrics}}ye(null,Fr)}})},m.prototype._doesCharSupportLocalGlyph=function(Y){return!!this.localIdeographFontFamily&&(e.isChar[\"CJK Unified Ideographs\"](Y)||e.isChar[\"Hangul Syllables\"](Y)||e.isChar.Hiragana(Y)||e.isChar.Katakana(Y))},m.prototype._tinySDF=function(Y,ye,te){var me=this.localIdeographFontFamily;if(me&&this._doesCharSupportLocalGlyph(te)){var Ge=Y.tinySDF;if(!Ge){var Le=\"400\";/bold/i.test(ye)?Le=\"900\":/medium/i.test(ye)?Le=\"500\":/light/i.test(ye)&&(Le=\"200\"),Ge=Y.tinySDF=new m.TinySDF(24,3,8,.25,me,Le)}return{id:te,bitmap:new e.AlphaImage({width:30,height:30},Ge.draw(String.fromCharCode(te))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},m.loadGlyphRange=w,m.TinySDF=S;var h=function(){this.specification=e.styleSpec.light.position};h.prototype.possiblyEvaluate=function(Y,ye){return e.sphericalToCartesian(Y.expression.evaluate(ye))},h.prototype.interpolate=function(Y,ye,te){return{x:e.number(Y.x,ye.x,te),y:e.number(Y.y,ye.y,te),z:e.number(Y.z,ye.z,te)}};var P=new e.Properties({anchor:new e.DataConstantProperty(e.styleSpec.light.anchor),position:new h,color:new e.DataConstantProperty(e.styleSpec.light.color),intensity:new e.DataConstantProperty(e.styleSpec.light.intensity)}),L=\"-transition\",z=function(ve){function Y(ye){ve.call(this),this._transitionable=new e.Transitionable(P),this.setLight(ye),this._transitioning=this._transitionable.untransitioned()}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.getLight=function(){return this._transitionable.serialize()},Y.prototype.setLight=function(te,me){if(me===void 0&&(me={}),!this._validate(e.validateLight,te,me))for(var Ge in te){var Le=te[Ge];e.endsWith(Ge,L)?this._transitionable.setTransition(Ge.slice(0,-L.length),Le):this._transitionable.setValue(Ge,Le)}},Y.prototype.updateTransitions=function(te){this._transitioning=this._transitionable.transitioned(te,this._transitioning)},Y.prototype.hasTransition=function(){return this._transitioning.hasTransition()},Y.prototype.recalculate=function(te){this.properties=this._transitioning.possiblyEvaluate(te)},Y.prototype._validate=function(te,me,Ge){return Ge&&Ge.validate===!1?!1:e.emitValidationErrors(this,te.call(e.validateStyle,e.extend({value:me,style:{glyphs:!0,sprite:!0},styleSpec:e.styleSpec})))},Y}(e.Evented),F=function(Y,ye){this.width=Y,this.height=ye,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};F.prototype.getDash=function(Y,ye){var te=Y.join(\",\")+String(ye);return this.dashEntry[te]||(this.dashEntry[te]=this.addDash(Y,ye)),this.dashEntry[te]},F.prototype.getDashRanges=function(Y,ye,te){var me=Y.length%2===1,Ge=[],Le=me?-Y[Y.length-1]*te:0,$e=Y[0]*te,mt=!0;Ge.push({left:Le,right:$e,isDash:mt,zeroLength:Y[0]===0});for(var jt=Y[0],_r=1;_r<Y.length;_r++){mt=!mt;var Fr=Y[_r];Le=jt*te,jt+=Fr,$e=jt*te,Ge.push({left:Le,right:$e,isDash:mt,zeroLength:Fr===0})}return Ge},F.prototype.addRoundDash=function(Y,ye,te){for(var me=ye/2,Ge=-te;Ge<=te;Ge++)for(var Le=this.nextRow+te+Ge,$e=this.width*Le,mt=0,jt=Y[mt],_r=0;_r<this.width;_r++){_r/jt.right>1&&(jt=Y[++mt]);var Fr=Math.abs(_r-jt.left),hr=Math.abs(_r-jt.right),gt=Math.min(Fr,hr),Et=void 0,Ft=Ge/te*(me+1);if(jt.isDash){var ir=me-Math.abs(Ft);Et=Math.sqrt(gt*gt+ir*ir)}else Et=me-Math.sqrt(gt*gt+Ft*Ft);this.data[$e+_r]=Math.max(0,Math.min(255,Et+128))}},F.prototype.addRegularDash=function(Y){for(var ye=Y.length-1;ye>=0;--ye){var te=Y[ye],me=Y[ye+1];te.zeroLength?Y.splice(ye,1):me&&me.isDash===te.isDash&&(me.left=te.left,Y.splice(ye,1))}var Ge=Y[0],Le=Y[Y.length-1];Ge.isDash===Le.isDash&&(Ge.left=Le.left-this.width,Le.right=Ge.right+this.width);for(var $e=this.width*this.nextRow,mt=0,jt=Y[mt],_r=0;_r<this.width;_r++){_r/jt.right>1&&(jt=Y[++mt]);var Fr=Math.abs(_r-jt.left),hr=Math.abs(_r-jt.right),gt=Math.min(Fr,hr),Et=jt.isDash?gt:-gt;this.data[$e+_r]=Math.max(0,Math.min(255,Et+128))}},F.prototype.addDash=function(Y,ye){var te=ye?7:0,me=2*te+1;if(this.nextRow+me>this.height)return e.warnOnce(\"LineAtlas out of space\"),null;for(var Ge=0,Le=0;Le<Y.length;Le++)Ge+=Y[Le];if(Ge!==0){var $e=this.width/Ge,mt=this.getDashRanges(Y,this.width,$e);ye?this.addRoundDash(mt,$e,te):this.addRegularDash(mt)}var jt={y:(this.nextRow+te+.5)/this.height,height:2*te/this.height,width:Ge};return this.nextRow+=me,this.dirty=!0,jt},F.prototype.bind=function(Y){var ye=Y.gl;this.texture?(ye.bindTexture(ye.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,ye.texSubImage2D(ye.TEXTURE_2D,0,0,0,this.width,this.height,ye.ALPHA,ye.UNSIGNED_BYTE,this.data))):(this.texture=ye.createTexture(),ye.bindTexture(ye.TEXTURE_2D,this.texture),ye.texParameteri(ye.TEXTURE_2D,ye.TEXTURE_WRAP_S,ye.REPEAT),ye.texParameteri(ye.TEXTURE_2D,ye.TEXTURE_WRAP_T,ye.REPEAT),ye.texParameteri(ye.TEXTURE_2D,ye.TEXTURE_MIN_FILTER,ye.LINEAR),ye.texParameteri(ye.TEXTURE_2D,ye.TEXTURE_MAG_FILTER,ye.LINEAR),ye.texImage2D(ye.TEXTURE_2D,0,ye.ALPHA,this.width,this.height,0,ye.ALPHA,ye.UNSIGNED_BYTE,this.data))};var B=function ve(Y,ye){this.workerPool=Y,this.actors=[],this.currentActor=0,this.id=e.uniqueId();for(var te=this.workerPool.acquire(this.id),me=0;me<te.length;me++){var Ge=te[me],Le=new ve.Actor(Ge,ye,this.id);Le.name=\"Worker \"+me,this.actors.push(Le)}};B.prototype.broadcast=function(Y,ye,te){te=te||function(){},e.asyncAll(this.actors,function(me,Ge){me.send(Y,ye,Ge)},te)},B.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},B.prototype.remove=function(){this.actors.forEach(function(Y){Y.remove()}),this.actors=[],this.workerPool.release(this.id)},B.Actor=e.Actor;function O(ve,Y,ye){var te=function(me,Ge){if(me)return ye(me);if(Ge){var Le=e.pick(e.extend(Ge,ve),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);Ge.vector_layers&&(Le.vectorLayers=Ge.vector_layers,Le.vectorLayerIds=Le.vectorLayers.map(function($e){return $e.id})),Le.tiles=Y.canonicalizeTileset(Le,ve.url),ye(null,Le)}};return ve.url?e.getJSON(Y.transformRequest(Y.normalizeSourceURL(ve.url),e.ResourceType.Source),te):e.browser.frame(function(){return te(null,ve)})}var I=function(Y,ye,te){this.bounds=e.LngLatBounds.convert(this.validateBounds(Y)),this.minzoom=ye||0,this.maxzoom=te||24};I.prototype.validateBounds=function(Y){return!Array.isArray(Y)||Y.length!==4?[-180,-90,180,90]:[Math.max(-180,Y[0]),Math.max(-90,Y[1]),Math.min(180,Y[2]),Math.min(90,Y[3])]},I.prototype.contains=function(Y){var ye=Math.pow(2,Y.z),te={minX:Math.floor(e.mercatorXfromLng(this.bounds.getWest())*ye),minY:Math.floor(e.mercatorYfromLat(this.bounds.getNorth())*ye),maxX:Math.ceil(e.mercatorXfromLng(this.bounds.getEast())*ye),maxY:Math.ceil(e.mercatorYfromLat(this.bounds.getSouth())*ye)},me=Y.x>=te.minX&&Y.x<te.maxX&&Y.y>=te.minY&&Y.y<te.maxY;return me};var N=function(ve){function Y(ye,te,me,Ge){if(ve.call(this),this.id=ye,this.dispatcher=me,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,e.extend(this,e.pick(te,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=e.extend({type:\"vector\"},te),this._collectResourceTiming=te.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(Ge)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.load=function(){var te=this;this._loaded=!1,this.fire(new e.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=O(this._options,this.map._requestManager,function(me,Ge){te._tileJSONRequest=null,te._loaded=!0,me?te.fire(new e.ErrorEvent(me)):Ge&&(e.extend(te,Ge),Ge.bounds&&(te.tileBounds=new I(Ge.bounds,te.minzoom,te.maxzoom)),e.postTurnstileEvent(Ge.tiles,te.map._requestManager._customAccessToken),e.postMapLoadEvent(Ge.tiles,te.map._getMapId(),te.map._requestManager._skuToken,te.map._requestManager._customAccessToken),te.fire(new e.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),te.fire(new e.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},Y.prototype.loaded=function(){return this._loaded},Y.prototype.hasTile=function(te){return!this.tileBounds||this.tileBounds.contains(te.canonical)},Y.prototype.onAdd=function(te){this.map=te,this.load()},Y.prototype.setSourceProperty=function(te){this._tileJSONRequest&&this._tileJSONRequest.cancel(),te();var me=this.map.style.sourceCaches[this.id];me.clearTiles(),this.load()},Y.prototype.setTiles=function(te){var me=this;return this.setSourceProperty(function(){me._options.tiles=te}),this},Y.prototype.setUrl=function(te){var me=this;return this.setSourceProperty(function(){me.url=te,me._options.url=te}),this},Y.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},Y.prototype.serialize=function(){return e.extend({},this._options)},Y.prototype.loadTile=function(te,me){var Ge=this.map._requestManager.normalizeTileURL(te.tileID.canonical.url(this.tiles,this.scheme)),Le={request:this.map._requestManager.transformRequest(Ge,e.ResourceType.Tile),uid:te.uid,tileID:te.tileID,zoom:te.tileID.overscaledZ,tileSize:this.tileSize*te.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:e.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};Le.request.collectResourceTiming=this._collectResourceTiming,!te.actor||te.state===\"expired\"?(te.actor=this.dispatcher.getActor(),te.request=te.actor.send(\"loadTile\",Le,$e.bind(this))):te.state===\"loading\"?te.reloadCallback=me:te.request=te.actor.send(\"reloadTile\",Le,$e.bind(this));function $e(mt,jt){if(delete te.request,te.aborted)return me(null);if(mt&&mt.status!==404)return me(mt);jt&&jt.resourceTiming&&(te.resourceTiming=jt.resourceTiming),this.map._refreshExpiredTiles&&jt&&te.setExpiryData(jt),te.loadVectorData(jt,this.map.painter),e.cacheEntryPossiblyAdded(this.dispatcher),me(null),te.reloadCallback&&(this.loadTile(te,te.reloadCallback),te.reloadCallback=null)}},Y.prototype.abortTile=function(te){te.request&&(te.request.cancel(),delete te.request),te.actor&&te.actor.send(\"abortTile\",{uid:te.uid,type:this.type,source:this.id},void 0)},Y.prototype.unloadTile=function(te){te.unloadVectorData(),te.actor&&te.actor.send(\"removeTile\",{uid:te.uid,type:this.type,source:this.id},void 0)},Y.prototype.hasTransition=function(){return!1},Y}(e.Evented),U=function(ve){function Y(ye,te,me,Ge){ve.call(this),this.id=ye,this.dispatcher=me,this.setEventedParent(Ge),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=e.extend({type:\"raster\"},te),e.extend(this,e.pick(te,[\"url\",\"scheme\",\"tileSize\"]))}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.load=function(){var te=this;this._loaded=!1,this.fire(new e.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=O(this._options,this.map._requestManager,function(me,Ge){te._tileJSONRequest=null,te._loaded=!0,me?te.fire(new e.ErrorEvent(me)):Ge&&(e.extend(te,Ge),Ge.bounds&&(te.tileBounds=new I(Ge.bounds,te.minzoom,te.maxzoom)),e.postTurnstileEvent(Ge.tiles),e.postMapLoadEvent(Ge.tiles,te.map._getMapId(),te.map._requestManager._skuToken),te.fire(new e.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),te.fire(new e.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},Y.prototype.loaded=function(){return this._loaded},Y.prototype.onAdd=function(te){this.map=te,this.load()},Y.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},Y.prototype.serialize=function(){return e.extend({},this._options)},Y.prototype.hasTile=function(te){return!this.tileBounds||this.tileBounds.contains(te.canonical)},Y.prototype.loadTile=function(te,me){var Ge=this,Le=this.map._requestManager.normalizeTileURL(te.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);te.request=e.getImage(this.map._requestManager.transformRequest(Le,e.ResourceType.Tile),function($e,mt){if(delete te.request,te.aborted)te.state=\"unloaded\",me(null);else if($e)te.state=\"errored\",me($e);else if(mt){Ge.map._refreshExpiredTiles&&te.setExpiryData(mt),delete mt.cacheControl,delete mt.expires;var jt=Ge.map.painter.context,_r=jt.gl;te.texture=Ge.map.painter.getTileTexture(mt.width),te.texture?te.texture.update(mt,{useMipmap:!0}):(te.texture=new e.Texture(jt,mt,_r.RGBA,{useMipmap:!0}),te.texture.bind(_r.LINEAR,_r.CLAMP_TO_EDGE,_r.LINEAR_MIPMAP_NEAREST),jt.extTextureFilterAnisotropic&&_r.texParameterf(_r.TEXTURE_2D,jt.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,jt.extTextureFilterAnisotropicMax)),te.state=\"loaded\",e.cacheEntryPossiblyAdded(Ge.dispatcher),me(null)}})},Y.prototype.abortTile=function(te,me){te.request&&(te.request.cancel(),delete te.request),me()},Y.prototype.unloadTile=function(te,me){te.texture&&this.map.painter.saveTileTexture(te.texture),me()},Y.prototype.hasTransition=function(){return!1},Y}(e.Evented),W=function(ve){function Y(ye,te,me,Ge){ve.call(this,ye,te,me,Ge),this.type=\"raster-dem\",this.maxzoom=22,this._options=e.extend({type:\"raster-dem\"},te),this.encoding=te.encoding||\"mapbox\"}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},Y.prototype.loadTile=function(te,me){var Ge=this.map._requestManager.normalizeTileURL(te.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);te.request=e.getImage(this.map._requestManager.transformRequest(Ge,e.ResourceType.Tile),Le.bind(this)),te.neighboringTiles=this._getNeighboringTiles(te.tileID);function Le(mt,jt){if(delete te.request,te.aborted)te.state=\"unloaded\",me(null);else if(mt)te.state=\"errored\",me(mt);else if(jt){this.map._refreshExpiredTiles&&te.setExpiryData(jt),delete jt.cacheControl,delete jt.expires;var _r=e.window.ImageBitmap&&jt instanceof e.window.ImageBitmap&&e.offscreenCanvasSupported(),Fr=_r?jt:e.browser.getImageData(jt,1),hr={uid:te.uid,coord:te.tileID,source:this.id,rawImageData:Fr,encoding:this.encoding};(!te.actor||te.state===\"expired\")&&(te.actor=this.dispatcher.getActor(),te.actor.send(\"loadDEMTile\",hr,$e.bind(this)))}}function $e(mt,jt){mt&&(te.state=\"errored\",me(mt)),jt&&(te.dem=jt,te.needsHillshadePrepare=!0,te.state=\"loaded\",me(null))}},Y.prototype._getNeighboringTiles=function(te){var me=te.canonical,Ge=Math.pow(2,me.z),Le=(me.x-1+Ge)%Ge,$e=me.x===0?te.wrap-1:te.wrap,mt=(me.x+1+Ge)%Ge,jt=me.x+1===Ge?te.wrap+1:te.wrap,_r={};return _r[new e.OverscaledTileID(te.overscaledZ,$e,me.z,Le,me.y).key]={backfilled:!1},_r[new e.OverscaledTileID(te.overscaledZ,jt,me.z,mt,me.y).key]={backfilled:!1},me.y>0&&(_r[new e.OverscaledTileID(te.overscaledZ,$e,me.z,Le,me.y-1).key]={backfilled:!1},_r[new e.OverscaledTileID(te.overscaledZ,te.wrap,me.z,me.x,me.y-1).key]={backfilled:!1},_r[new e.OverscaledTileID(te.overscaledZ,jt,me.z,mt,me.y-1).key]={backfilled:!1}),me.y+1<Ge&&(_r[new e.OverscaledTileID(te.overscaledZ,$e,me.z,Le,me.y+1).key]={backfilled:!1},_r[new e.OverscaledTileID(te.overscaledZ,te.wrap,me.z,me.x,me.y+1).key]={backfilled:!1},_r[new e.OverscaledTileID(te.overscaledZ,jt,me.z,mt,me.y+1).key]={backfilled:!1}),_r},Y.prototype.unloadTile=function(te){te.demTexture&&this.map.painter.saveTileTexture(te.demTexture),te.fbo&&(te.fbo.destroy(),delete te.fbo),te.dem&&delete te.dem,delete te.neighboringTiles,te.state=\"unloaded\",te.actor&&te.actor.send(\"removeDEMTile\",{uid:te.uid,source:this.id})},Y}(U),Q=function(ve){function Y(ye,te,me,Ge){ve.call(this),this.id=ye,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=me.getActor(),this.setEventedParent(Ge),this._data=te.data,this._options=e.extend({},te),this._collectResourceTiming=te.collectResourceTiming,this._resourceTiming=[],te.maxzoom!==void 0&&(this.maxzoom=te.maxzoom),te.type&&(this.type=te.type),te.attribution&&(this.attribution=te.attribution),this.promoteId=te.promoteId;var Le=e.EXTENT/this.tileSize;this.workerOptions=e.extend({source:this.id,cluster:te.cluster||!1,geojsonVtOptions:{buffer:(te.buffer!==void 0?te.buffer:128)*Le,tolerance:(te.tolerance!==void 0?te.tolerance:.375)*Le,extent:e.EXTENT,maxZoom:this.maxzoom,lineMetrics:te.lineMetrics||!1,generateId:te.generateId||!1},superclusterOptions:{maxZoom:te.clusterMaxZoom!==void 0?Math.min(te.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,te.clusterMinPoints||2),extent:e.EXTENT,radius:(te.clusterRadius||50)*Le,log:!1,generateId:te.generateId||!1},clusterProperties:te.clusterProperties,filter:te.filter},te.workerOptions)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.load=function(){var te=this;this.fire(new e.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(me){if(me){te.fire(new e.ErrorEvent(me));return}var Ge={dataType:\"source\",sourceDataType:\"metadata\"};te._collectResourceTiming&&te._resourceTiming&&te._resourceTiming.length>0&&(Ge.resourceTiming=te._resourceTiming,te._resourceTiming=[]),te.fire(new e.Event(\"data\",Ge))})},Y.prototype.onAdd=function(te){this.map=te,this.load()},Y.prototype.setData=function(te){var me=this;return this._data=te,this.fire(new e.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(Ge){if(Ge){me.fire(new e.ErrorEvent(Ge));return}var Le={dataType:\"source\",sourceDataType:\"content\"};me._collectResourceTiming&&me._resourceTiming&&me._resourceTiming.length>0&&(Le.resourceTiming=me._resourceTiming,me._resourceTiming=[]),me.fire(new e.Event(\"data\",Le))}),this},Y.prototype.getClusterExpansionZoom=function(te,me){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:te,source:this.id},me),this},Y.prototype.getClusterChildren=function(te,me){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:te,source:this.id},me),this},Y.prototype.getClusterLeaves=function(te,me,Ge,Le){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:te,limit:me,offset:Ge},Le),this},Y.prototype._updateWorkerData=function(te){var me=this;this._loaded=!1;var Ge=e.extend({},this.workerOptions),Le=this._data;typeof Le==\"string\"?(Ge.request=this.map._requestManager.transformRequest(e.browser.resolveURL(Le),e.ResourceType.Source),Ge.request.collectResourceTiming=this._collectResourceTiming):Ge.data=JSON.stringify(Le),this.actor.send(this.type+\".loadData\",Ge,function($e,mt){me._removed||mt&&mt.abandoned||(me._loaded=!0,mt&&mt.resourceTiming&&mt.resourceTiming[me.id]&&(me._resourceTiming=mt.resourceTiming[me.id].slice(0)),me.actor.send(me.type+\".coalesce\",{source:Ge.source},null),te($e))})},Y.prototype.loaded=function(){return this._loaded},Y.prototype.loadTile=function(te,me){var Ge=this,Le=te.actor?\"reloadTile\":\"loadTile\";te.actor=this.actor;var $e={type:this.type,uid:te.uid,tileID:te.tileID,zoom:te.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:e.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};te.request=this.actor.send(Le,$e,function(mt,jt){return delete te.request,te.unloadVectorData(),te.aborted?me(null):mt?me(mt):(te.loadVectorData(jt,Ge.map.painter,Le===\"reloadTile\"),me(null))})},Y.prototype.abortTile=function(te){te.request&&(te.request.cancel(),delete te.request),te.aborted=!0},Y.prototype.unloadTile=function(te){te.unloadVectorData(),this.actor.send(\"removeTile\",{uid:te.uid,type:this.type,source:this.id})},Y.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},Y.prototype.serialize=function(){return e.extend({},this._options,{type:this.type,data:this._data})},Y.prototype.hasTransition=function(){return!1},Y}(e.Evented),ue=e.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),le=function(ve){function Y(ye,te,me,Ge){ve.call(this),this.id=ye,this.dispatcher=me,this.coordinates=te.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(Ge),this.options=te}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.load=function(te,me){var Ge=this;this._loaded=!1,this.fire(new e.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,e.getImage(this.map._requestManager.transformRequest(this.url,e.ResourceType.Image),function(Le,$e){Ge._loaded=!0,Le?Ge.fire(new e.ErrorEvent(Le)):$e&&(Ge.image=$e,te&&(Ge.coordinates=te),me&&me(),Ge._finishLoading())})},Y.prototype.loaded=function(){return this._loaded},Y.prototype.updateImage=function(te){var me=this;return!this.image||!te.url?this:(this.options.url=te.url,this.load(te.coordinates,function(){me.texture=null}),this)},Y.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new e.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},Y.prototype.onAdd=function(te){this.map=te,this.load()},Y.prototype.setCoordinates=function(te){var me=this;this.coordinates=te;var Ge=te.map(e.MercatorCoordinate.fromLngLat);this.tileID=he(Ge),this.minzoom=this.maxzoom=this.tileID.z;var Le=Ge.map(function($e){return me.tileID.getTilePoint($e)._round()});return this._boundsArray=new e.StructArrayLayout4i8,this._boundsArray.emplaceBack(Le[0].x,Le[0].y,0,0),this._boundsArray.emplaceBack(Le[1].x,Le[1].y,e.EXTENT,0),this._boundsArray.emplaceBack(Le[3].x,Le[3].y,0,e.EXTENT),this._boundsArray.emplaceBack(Le[2].x,Le[2].y,e.EXTENT,e.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new e.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},Y.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||!this.image)){var te=this.map.painter.context,me=te.gl;this.boundsBuffer||(this.boundsBuffer=te.createVertexBuffer(this._boundsArray,ue.members)),this.boundsSegments||(this.boundsSegments=e.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new e.Texture(te,this.image,me.RGBA),this.texture.bind(me.LINEAR,me.CLAMP_TO_EDGE));for(var Ge in this.tiles){var Le=this.tiles[Ge];Le.state!==\"loaded\"&&(Le.state=\"loaded\",Le.texture=this.texture)}}},Y.prototype.loadTile=function(te,me){this.tileID&&this.tileID.equals(te.tileID.canonical)?(this.tiles[String(te.tileID.wrap)]=te,te.buckets={},me(null)):(te.state=\"errored\",me(null))},Y.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},Y.prototype.hasTransition=function(){return!1},Y}(e.Evented);function he(ve){for(var Y=1/0,ye=1/0,te=-1/0,me=-1/0,Ge=0,Le=ve;Ge<Le.length;Ge+=1){var $e=Le[Ge];Y=Math.min(Y,$e.x),ye=Math.min(ye,$e.y),te=Math.max(te,$e.x),me=Math.max(me,$e.y)}var mt=te-Y,jt=me-ye,_r=Math.max(mt,jt),Fr=Math.max(0,Math.floor(-Math.log(_r)/Math.LN2)),hr=Math.pow(2,Fr);return new e.CanonicalTileID(Fr,Math.floor((Y+te)/2*hr),Math.floor((ye+me)/2*hr))}var G=function(ve){function Y(ye,te,me,Ge){ve.call(this,ye,te,me,Ge),this.roundZoom=!0,this.type=\"video\",this.options=te}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.load=function(){var te=this;this._loaded=!1;var me=this.options;this.urls=[];for(var Ge=0,Le=me.urls;Ge<Le.length;Ge+=1){var $e=Le[Ge];this.urls.push(this.map._requestManager.transformRequest($e,e.ResourceType.Source).url)}e.getVideo(this.urls,function(mt,jt){te._loaded=!0,mt?te.fire(new e.ErrorEvent(mt)):jt&&(te.video=jt,te.video.loop=!0,te.video.addEventListener(\"playing\",function(){te.map.triggerRepaint()}),te.map&&te.video.play(),te._finishLoading())})},Y.prototype.pause=function(){this.video&&this.video.pause()},Y.prototype.play=function(){this.video&&this.video.play()},Y.prototype.seek=function(te){if(this.video){var me=this.video.seekable;te<me.start(0)||te>me.end(0)?this.fire(new e.ErrorEvent(new e.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+me.start(0)+\" and \"+me.end(0)+\"-second mark.\"))):this.video.currentTime=te}},Y.prototype.getVideo=function(){return this.video},Y.prototype.onAdd=function(te){this.map||(this.map=te,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},Y.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||this.video.readyState<2)){var te=this.map.painter.context,me=te.gl;this.boundsBuffer||(this.boundsBuffer=te.createVertexBuffer(this._boundsArray,ue.members)),this.boundsSegments||(this.boundsSegments=e.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(me.LINEAR,me.CLAMP_TO_EDGE),me.texSubImage2D(me.TEXTURE_2D,0,0,0,me.RGBA,me.UNSIGNED_BYTE,this.video)):(this.texture=new e.Texture(te,this.video,me.RGBA),this.texture.bind(me.LINEAR,me.CLAMP_TO_EDGE));for(var Ge in this.tiles){var Le=this.tiles[Ge];Le.state!==\"loaded\"&&(Le.state=\"loaded\",Le.texture=this.texture)}}},Y.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},Y.prototype.hasTransition=function(){return this.video&&!this.video.paused},Y}(le),$=function(ve){function Y(ye,te,me,Ge){ve.call(this,ye,te,me,Ge),te.coordinates?(!Array.isArray(te.coordinates)||te.coordinates.length!==4||te.coordinates.some(function(Le){return!Array.isArray(Le)||Le.length!==2||Le.some(function($e){return typeof $e!=\"number\"})}))&&this.fire(new e.ErrorEvent(new e.ValidationError(\"sources.\"+ye,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new e.ErrorEvent(new e.ValidationError(\"sources.\"+ye,null,'missing required property \"coordinates\"'))),te.animate&&typeof te.animate!=\"boolean\"&&this.fire(new e.ErrorEvent(new e.ValidationError(\"sources.\"+ye,null,'optional \"animate\" property must be a boolean value'))),te.canvas?typeof te.canvas!=\"string\"&&!(te.canvas instanceof e.window.HTMLCanvasElement)&&this.fire(new e.ErrorEvent(new e.ValidationError(\"sources.\"+ye,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new e.ErrorEvent(new e.ValidationError(\"sources.\"+ye,null,'missing required property \"canvas\"'))),this.options=te,this.animate=te.animate!==void 0?te.animate:!0}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.load=function(){if(this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof e.window.HTMLCanvasElement?this.options.canvas:e.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()){this.fire(new e.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\")));return}this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading()},Y.prototype.getCanvas=function(){return this.canvas},Y.prototype.onAdd=function(te){this.map=te,this.load(),this.canvas&&this.animate&&this.play()},Y.prototype.onRemove=function(){this.pause()},Y.prototype.prepare=function(){var te=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,te=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,te=!0),!this._hasInvalidDimensions()&&Object.keys(this.tiles).length!==0){var me=this.map.painter.context,Ge=me.gl;this.boundsBuffer||(this.boundsBuffer=me.createVertexBuffer(this._boundsArray,ue.members)),this.boundsSegments||(this.boundsSegments=e.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(te||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new e.Texture(me,this.canvas,Ge.RGBA,{premultiply:!0});for(var Le in this.tiles){var 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me=this.gl;me.framebufferRenderbuffer(me.FRAMEBUFFER,me.DEPTH_ATTACHMENT,me.RENDERBUFFER,te),this.current=te,this.dirty=!1}},Y}(rr),la=function(Y,ye,te,me){this.context=Y,this.width=ye,this.height=te;var Ge=Y.gl,Le=this.framebuffer=Ge.createFramebuffer();this.colorAttachment=new Qt(Y,Le),me&&(this.depthAttachment=new Tr(Y,Le))};la.prototype.destroy=function(){var Y=this.context.gl,ye=this.colorAttachment.get();if(ye&&Y.deleteTexture(ye),this.depthAttachment){var te=this.depthAttachment.get();te&&Y.deleteRenderbuffer(te)}Y.deleteFramebuffer(this.framebuffer)};var Ua=519,Ba=function(Y,ye,te){this.func=Y,this.mask=ye,this.range=te};Ba.ReadOnly=!1,Ba.ReadWrite=!0,Ba.disabled=new Ba(Ua,Ba.ReadOnly,[0,1]);var Ra=519,ei=7680,za=function(Y,ye,te,me,Ge,Le){this.test=Y,this.ref=ye,this.mask=te,this.fail=me,this.depthFail=Ge,this.pass=Le};za.disabled=new za({func:Ra,mask:0},0,0,ei,ei,ei);var ti=0,Ci=1,Jt=771,Nt=function(Y,ye,te){this.blendFunction=Y,this.blendColor=ye,this.mask=te};Nt.Replace=[Ci,ti],Nt.disabled=new Nt(Nt.Replace,e.Color.transparent,[!1,!1,!1,!1]),Nt.unblended=new Nt(Nt.Replace,e.Color.transparent,[!0,!0,!0,!0]),Nt.alphaBlended=new Nt([Ci,Jt],e.Color.transparent,[!0,!0,!0,!0]);var Kt=1029,Wt=2305,Pr=function(Y,ye,te){this.enable=Y,this.mode=ye,this.frontFace=te};Pr.disabled=new Pr(!1,Kt,Wt),Pr.backCCW=new Pr(!0,Kt,Wt);var ta=function(Y){this.gl=Y,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new lt(this),this.clearDepth=new Ee(this),this.clearStencil=new _e(this),this.colorMask=new fe(this),this.depthMask=new Fe(this),this.stencilMask=new rt(this),this.stencilFunc=new st(this),this.stencilOp=new Qe(this),this.stencilTest=new Lt(this),this.depthRange=new kt(this),this.depthTest=new Vt(this),this.depthFunc=new Zt(this),this.blend=new Sr(this),this.blendFunc=new xr(this),this.blendColor=new jr(this),this.blendEquation=new wr(this),this.cullFace=new Ir(this),this.cullFaceSide=new bt(this),this.frontFace=new Be(this),this.program=new Ke(this),this.activeTexture=new Ue(this),this.viewport=new Me(this),this.bindFramebuffer=new qe(this),this.bindRenderbuffer=new Ce(this),this.bindTexture=new Te(this),this.bindVertexBuffer=new Pe(this),this.bindElementBuffer=new at(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new yt(this),this.pixelStoreUnpack=new Tt(this),this.pixelStoreUnpackPremultiplyAlpha=new Ot(this),this.pixelStoreUnpackFlipY=new Gt(this),this.extTextureFilterAnisotropic=Y.getExtension(\"EXT_texture_filter_anisotropic\")||Y.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||Y.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=Y.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=Y.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(Y.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=Y.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=Y.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=Y.getParameter(Y.MAX_TEXTURE_SIZE)};ta.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},ta.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},ta.prototype.createIndexBuffer=function(Y,ye){return new Xe(this,Y,ye)},ta.prototype.createVertexBuffer=function(Y,ye,te){return new ot(this,Y,ye,te)},ta.prototype.createRenderbuffer=function(Y,ye,te){var me=this.gl,Ge=me.createRenderbuffer();return this.bindRenderbuffer.set(Ge),me.renderbufferStorage(me.RENDERBUFFER,Y,ye,te),this.bindRenderbuffer.set(null),Ge},ta.prototype.createFramebuffer=function(Y,ye,te){return new la(this,Y,ye,te)},ta.prototype.clear=function(Y){var ye=Y.color,te=Y.depth,me=this.gl,Ge=0;ye&&(Ge|=me.COLOR_BUFFER_BIT,this.clearColor.set(ye),this.colorMask.set([!0,!0,!0,!0])),typeof te<\"u\"&&(Ge|=me.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(te),this.depthMask.set(!0)),me.clear(Ge)},ta.prototype.setCullFace=function(Y){Y.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(Y.mode),this.frontFace.set(Y.frontFace))},ta.prototype.setDepthMode=function(Y){Y.func===this.gl.ALWAYS&&!Y.mask?this.depthTest.set(!1):(this.depthTest.set(!0),this.depthFunc.set(Y.func),this.depthMask.set(Y.mask),this.depthRange.set(Y.range))},ta.prototype.setStencilMode=function(Y){Y.test.func===this.gl.ALWAYS&&!Y.mask?this.stencilTest.set(!1):(this.stencilTest.set(!0),this.stencilMask.set(Y.mask),this.stencilOp.set([Y.fail,Y.depthFail,Y.pass]),this.stencilFunc.set({func:Y.test.func,ref:Y.ref,mask:Y.test.mask}))},ta.prototype.setColorMode=function(Y){e.deepEqual(Y.blendFunction,Nt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(Y.blendFunction),this.blendColor.set(Y.blendColor)),this.colorMask.set(Y.mask)},ta.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var ma=function(ve){function Y(ye,te,me){var Ge=this;ve.call(this),this.id=ye,this.dispatcher=me,this.on(\"data\",function(Le){Le.dataType===\"source\"&&Le.sourceDataType===\"metadata\"&&(Ge._sourceLoaded=!0),Ge._sourceLoaded&&!Ge._paused&&Le.dataType===\"source\"&&Le.sourceDataType===\"content\"&&(Ge.reload(),Ge.transform&&Ge.update(Ge.transform))}),this.on(\"error\",function(){Ge._sourceErrored=!0}),this._source=X(ye,te,me,this),this._tiles={},this._cache=new Re(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new e.SourceFeatureState}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.onAdd=function(te){this.map=te,this._maxTileCacheSize=te?te._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(te)},Y.prototype.onRemove=function(te){this._source&&this._source.onRemove&&this._source.onRemove(te)},Y.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;for(var te in this._tiles){var me=this._tiles[te];if(me.state!==\"loaded\"&&me.state!==\"errored\")return!1}return!0},Y.prototype.getSource=function(){return this._source},Y.prototype.pause=function(){this._paused=!0},Y.prototype.resume=function(){if(this._paused){var te=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,te&&this.reload(),this.transform&&this.update(this.transform)}},Y.prototype._loadTile=function(te,me){return this._source.loadTile(te,me)},Y.prototype._unloadTile=function(te){if(this._source.unloadTile)return this._source.unloadTile(te,function(){})},Y.prototype._abortTile=function(te){if(this._source.abortTile)return this._source.abortTile(te,function(){})},Y.prototype.serialize=function(){return this._source.serialize()},Y.prototype.prepare=function(te){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(var me in this._tiles){var Ge=this._tiles[me];Ge.upload(te),Ge.prepare(this.map.style.imageManager)}},Y.prototype.getIds=function(){return e.values(this._tiles).map(function(te){return te.tileID}).sort(ra).map(function(te){return te.key})},Y.prototype.getRenderableIds=function(te){var me=this,Ge=[];for(var Le in this._tiles)this._isIdRenderable(Le,te)&&Ge.push(this._tiles[Le]);return te?Ge.sort(function($e,mt){var jt=$e.tileID,_r=mt.tileID,Fr=new e.Point(jt.canonical.x,jt.canonical.y)._rotate(me.transform.angle),hr=new e.Point(_r.canonical.x,_r.canonical.y)._rotate(me.transform.angle);return jt.overscaledZ-_r.overscaledZ||hr.y-Fr.y||hr.x-Fr.x}).map(function($e){return $e.tileID.key}):Ge.map(function($e){return $e.tileID}).sort(ra).map(function($e){return $e.key})},Y.prototype.hasRenderableParent=function(te){var me=this.findLoadedParent(te,0);return me?this._isIdRenderable(me.tileID.key):!1},Y.prototype._isIdRenderable=function(te,me){return this._tiles[te]&&this._tiles[te].hasData()&&!this._coveredTiles[te]&&(me||!this._tiles[te].holdingForFade())},Y.prototype.reload=function(){if(this._paused){this._shouldReloadOnResume=!0;return}this._cache.reset();for(var te in this._tiles)this._tiles[te].state!==\"errored\"&&this._reloadTile(te,\"reloading\")},Y.prototype._reloadTile=function(te,me){var Ge=this._tiles[te];Ge&&(Ge.state!==\"loading\"&&(Ge.state=me),this._loadTile(Ge,this._tileLoaded.bind(this,Ge,te,me)))},Y.prototype._tileLoaded=function(te,me,Ge,Le){if(Le){te.state=\"errored\",Le.status!==404?this._source.fire(new e.ErrorEvent(Le,{tile:te})):this.update(this.transform);return}te.timeAdded=e.browser.now(),Ge===\"expired\"&&(te.refreshedUponExpiration=!0),this._setTileReloadTimer(me,te),this.getSource().type===\"raster-dem\"&&te.dem&&this._backfillDEM(te),this._state.initializeTileState(te,this.map?this.map.painter:null),this._source.fire(new e.Event(\"data\",{dataType:\"source\",tile:te,coord:te.tileID}))},Y.prototype._backfillDEM=function(te){for(var me=this.getRenderableIds(),Ge=0;Ge<me.length;Ge++){var Le=me[Ge];if(te.neighboringTiles&&te.neighboringTiles[Le]){var $e=this.getTileByID(Le);mt(te,$e),mt($e,te)}}function mt(jt,_r){jt.needsHillshadePrepare=!0;var Fr=_r.tileID.canonical.x-jt.tileID.canonical.x,hr=_r.tileID.canonical.y-jt.tileID.canonical.y,gt=Math.pow(2,jt.tileID.canonical.z),Et=_r.tileID.key;Fr===0&&hr===0||Math.abs(hr)>1||(Math.abs(Fr)>1&&(Math.abs(Fr+gt)===1?Fr+=gt:Math.abs(Fr-gt)===1&&(Fr-=gt)),!(!_r.dem||!jt.dem)&&(jt.dem.backfillBorder(_r.dem,Fr,hr),jt.neighboringTiles&&jt.neighboringTiles[Et]&&(jt.neighboringTiles[Et].backfilled=!0)))}},Y.prototype.getTile=function(te){return this.getTileByID(te.key)},Y.prototype.getTileByID=function(te){return this._tiles[te]},Y.prototype._retainLoadedChildren=function(te,me,Ge,Le){for(var $e in this._tiles){var mt=this._tiles[$e];if(!(Le[$e]||!mt.hasData()||mt.tileID.overscaledZ<=me||mt.tileID.overscaledZ>Ge)){for(var jt=mt.tileID;mt&&mt.tileID.overscaledZ>me+1;){var _r=mt.tileID.scaledTo(mt.tileID.overscaledZ-1);mt=this._tiles[_r.key],mt&&mt.hasData()&&(jt=_r)}for(var Fr=jt;Fr.overscaledZ>me;)if(Fr=Fr.scaledTo(Fr.overscaledZ-1),te[Fr.key]){Le[jt.key]=jt;break}}}},Y.prototype.findLoadedParent=function(te,me){if(te.key in this._loadedParentTiles){var Ge=this._loadedParentTiles[te.key];return Ge&&Ge.tileID.overscaledZ>=me?Ge:null}for(var Le=te.overscaledZ-1;Le>=me;Le--){var $e=te.scaledTo(Le),mt=this._getLoadedTile($e);if(mt)return mt}},Y.prototype._getLoadedTile=function(te){var me=this._tiles[te.key];if(me&&me.hasData())return me;var Ge=this._cache.getByKey(te.wrapped().key);return Ge},Y.prototype.updateCacheSize=function(te){var me=Math.ceil(te.width/this._source.tileSize)+1,Ge=Math.ceil(te.height/this._source.tileSize)+1,Le=me*Ge,$e=5,mt=Math.floor(Le*$e),jt=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,mt):mt;this._cache.setMaxSize(jt)},Y.prototype.handleWrapJump=function(te){var me=this._prevLng===void 0?te:this._prevLng,Ge=te-me,Le=Ge/360,$e=Math.round(Le);if(this._prevLng=te,$e){var mt={};for(var jt in this._tiles){var _r=this._tiles[jt];_r.tileID=_r.tileID.unwrapTo(_r.tileID.wrap+$e),mt[_r.tileID.key]=_r}this._tiles=mt;for(var Fr in this._timers)clearTimeout(this._timers[Fr]),delete this._timers[Fr];for(var hr in this._tiles){var gt=this._tiles[hr];this._setTileReloadTimer(hr,gt)}}},Y.prototype.update=function(te){var me=this;if(this.transform=te,!(!this._sourceLoaded||this._paused)){this.updateCacheSize(te),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={};var Ge;this.used?this._source.tileID?Ge=te.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(ba){return new e.OverscaledTileID(ba.canonical.z,ba.wrap,ba.canonical.z,ba.canonical.x,ba.canonical.y)}):(Ge=te.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(Ge=Ge.filter(function(ba){return me._source.hasTile(ba)}))):Ge=[];var Le=te.coveringZoomLevel(this._source),$e=Math.max(Le-Y.maxOverzooming,this._source.minzoom),mt=Math.max(Le+Y.maxUnderzooming,this._source.minzoom),jt=this._updateRetainedTiles(Ge,Le);if(Ia(this._source.type)){for(var _r={},Fr={},hr=Object.keys(jt),gt=0,Et=hr;gt<Et.length;gt+=1){var Ft=Et[gt],ir=jt[Ft],fr=this._tiles[Ft];if(!(!fr||fr.fadeEndTime&&fr.fadeEndTime<=e.browser.now())){var sr=this.findLoadedParent(ir,$e);sr&&(this._addTile(sr.tileID),_r[sr.tileID.key]=sr.tileID),Fr[Ft]=ir}}this._retainLoadedChildren(Fr,Le,mt,jt);for(var pr in _r)jt[pr]||(this._coveredTiles[pr]=!0,jt[pr]=_r[pr])}for(var lr in jt)this._tiles[lr].clearFadeHold();for(var Xt=e.keysDifference(this._tiles,jt),or=0,qt=Xt;or<qt.length;or+=1){var Dr=qt[or],Jr=this._tiles[Dr];Jr.hasSymbolBuckets&&!Jr.holdingForFade()?Jr.setHoldDuration(this.map._fadeDuration):(!Jr.hasSymbolBuckets||Jr.symbolFadeFinished())&&this._removeTile(Dr)}this._updateLoadedParentTileCache()}},Y.prototype.releaseSymbolFadeTiles=function(){for(var te in this._tiles)this._tiles[te].holdingForFade()&&this._removeTile(te)},Y.prototype._updateRetainedTiles=function(te,me){for(var Ge={},Le={},$e=Math.max(me-Y.maxOverzooming,this._source.minzoom),mt=Math.max(me+Y.maxUnderzooming,this._source.minzoom),jt={},_r=0,Fr=te;_r<Fr.length;_r+=1){var hr=Fr[_r],gt=this._addTile(hr);Ge[hr.key]=hr,!gt.hasData()&&me<this._source.maxzoom&&(jt[hr.key]=hr)}this._retainLoadedChildren(jt,me,mt,Ge);for(var Et=0,Ft=te;Et<Ft.length;Et+=1){var ir=Ft[Et],fr=this._tiles[ir.key];if(!fr.hasData()){if(me+1>this._source.maxzoom){var sr=ir.children(this._source.maxzoom)[0],pr=this.getTile(sr);if(pr&&pr.hasData()){Ge[sr.key]=sr;continue}}else{var lr=ir.children(this._source.maxzoom);if(Ge[lr[0].key]&&Ge[lr[1].key]&&Ge[lr[2].key]&&Ge[lr[3].key])continue}for(var Xt=fr.wasRequested(),or=ir.overscaledZ-1;or>=$e;--or){var qt=ir.scaledTo(or);if(Le[qt.key]||(Le[qt.key]=!0,fr=this.getTile(qt),!fr&&Xt&&(fr=this._addTile(qt)),fr&&(Ge[qt.key]=qt,Xt=fr.wasRequested(),fr.hasData())))break}}}return Ge},Y.prototype._updateLoadedParentTileCache=function(){this._loadedParentTiles={};for(var te in this._tiles){for(var me=[],Ge=void 0,Le=this._tiles[te].tileID;Le.overscaledZ>0;){if(Le.key in this._loadedParentTiles){Ge=this._loadedParentTiles[Le.key];break}me.push(Le.key);var $e=Le.scaledTo(Le.overscaledZ-1);if(Ge=this._getLoadedTile($e),Ge)break;Le=$e}for(var mt=0,jt=me;mt<jt.length;mt+=1){var _r=jt[mt];this._loadedParentTiles[_r]=Ge}}},Y.prototype._addTile=function(te){var me=this._tiles[te.key];if(me)return me;me=this._cache.getAndRemove(te),me&&(this._setTileReloadTimer(te.key,me),me.tileID=te,this._state.initializeTileState(me,this.map?this.map.painter:null),this._cacheTimers[te.key]&&(clearTimeout(this._cacheTimers[te.key]),delete this._cacheTimers[te.key],this._setTileReloadTimer(te.key,me)));var Ge=!!me;return Ge||(me=new e.Tile(te,this._source.tileSize*te.overscaleFactor()),this._loadTile(me,this._tileLoaded.bind(this,me,te.key,me.state))),me?(me.uses++,this._tiles[te.key]=me,Ge||this._source.fire(new e.Event(\"dataloading\",{tile:me,coord:me.tileID,dataType:\"source\"})),me):null},Y.prototype._setTileReloadTimer=function(te,me){var Ge=this;te in this._timers&&(clearTimeout(this._timers[te]),delete this._timers[te]);var Le=me.getExpiryTimeout();Le&&(this._timers[te]=setTimeout(function(){Ge._reloadTile(te,\"expired\"),delete Ge._timers[te]},Le))},Y.prototype._removeTile=function(te){var me=this._tiles[te];me&&(me.uses--,delete this._tiles[te],this._timers[te]&&(clearTimeout(this._timers[te]),delete this._timers[te]),!(me.uses>0)&&(me.hasData()&&me.state!==\"reloading\"?this._cache.add(me.tileID,me,me.getExpiryTimeout()):(me.aborted=!0,this._abortTile(me),this._unloadTile(me))))},Y.prototype.clearTiles=function(){this._shouldReloadOnResume=!1,this._paused=!1;for(var te in this._tiles)this._removeTile(te);this._cache.reset()},Y.prototype.tilesIn=function(te,me,Ge){var Le=this,$e=[],mt=this.transform;if(!mt)return $e;for(var jt=Ge?mt.getCameraQueryGeometry(te):te,_r=te.map(function(or){return mt.pointCoordinate(or)}),Fr=jt.map(function(or){return mt.pointCoordinate(or)}),hr=this.getIds(),gt=1/0,Et=1/0,Ft=-1/0,ir=-1/0,fr=0,sr=Fr;fr<sr.length;fr+=1){var pr=sr[fr];gt=Math.min(gt,pr.x),Et=Math.min(Et,pr.y),Ft=Math.max(Ft,pr.x),ir=Math.max(ir,pr.y)}for(var lr=function(or){var qt=Le._tiles[hr[or]];if(!qt.holdingForFade()){var Dr=qt.tileID,Jr=Math.pow(2,mt.zoom-qt.tileID.overscaledZ),ba=me*qt.queryPadding*e.EXTENT/qt.tileSize/Jr,yi=[Dr.getTilePoint(new e.MercatorCoordinate(gt,Et)),Dr.getTilePoint(new e.MercatorCoordinate(Ft,ir))];if(yi[0].x-ba<e.EXTENT&&yi[0].y-ba<e.EXTENT&&yi[1].x+ba>=0&&yi[1].y+ba>=0){var Xa=_r.map(function(Ji){return Dr.getTilePoint(Ji)}),si=Fr.map(function(Ji){return Dr.getTilePoint(Ji)});$e.push({tile:qt,tileID:Dr,queryGeometry:Xa,cameraQueryGeometry:si,scale:Jr})}}},Xt=0;Xt<hr.length;Xt++)lr(Xt);return $e},Y.prototype.getVisibleCoordinates=function(te){for(var me=this,Ge=this.getRenderableIds(te).map(function(jt){return me._tiles[jt].tileID}),Le=0,$e=Ge;Le<$e.length;Le+=1){var mt=$e[Le];mt.posMatrix=this.transform.calculatePosMatrix(mt.toUnwrapped())}return Ge},Y.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ia(this._source.type))for(var te in this._tiles){var me=this._tiles[te];if(me.fadeEndTime!==void 0&&me.fadeEndTime>=e.browser.now())return!0}return!1},Y.prototype.setFeatureState=function(te,me,Ge){te=te||\"_geojsonTileLayer\",this._state.updateState(te,me,Ge)},Y.prototype.removeFeatureState=function(te,me,Ge){te=te||\"_geojsonTileLayer\",this._state.removeFeatureState(te,me,Ge)},Y.prototype.getFeatureState=function(te,me){return te=te||\"_geojsonTileLayer\",this._state.getState(te,me)},Y.prototype.setDependencies=function(te,me,Ge){var Le=this._tiles[te];Le&&Le.setDependencies(me,Ge)},Y.prototype.reloadTilesForDependencies=function(te,me){for(var Ge in this._tiles){var Le=this._tiles[Ge];Le.hasDependency(te,me)&&this._reloadTile(Ge,\"reloading\")}this._cache.filter(function($e){return!$e.hasDependency(te,me)})},Y}(e.Evented);ma.maxOverzooming=10,ma.maxUnderzooming=3;function ra(ve,Y){var ye=Math.abs(ve.wrap*2)-+(ve.wrap<0),te=Math.abs(Y.wrap*2)-+(Y.wrap<0);return ve.overscaledZ-Y.overscaledZ||te-ye||Y.canonical.y-ve.canonical.y||Y.canonical.x-ve.canonical.x}function Ia(ve){return ve===\"raster\"||ve===\"image\"||ve===\"video\"}function Ha(){return new e.window.Worker(Lo.workerUrl)}var $a=\"mapboxgl_preloaded_worker_pool\",ai=function(){this.active={}};ai.prototype.acquire=function(Y){if(!this.workers)for(this.workers=[];this.workers.length<ai.workerCount;)this.workers.push(new Ha);return this.active[Y]=!0,this.workers.slice()},ai.prototype.release=function(Y){delete this.active[Y],this.numActive()===0&&(this.workers.forEach(function(ye){ye.terminate()}),this.workers=null)},ai.prototype.isPreloaded=function(){return!!this.active[$a]},ai.prototype.numActive=function(){return Object.keys(this.active).length};var mi=Math.floor(e.browser.hardwareConcurrency/2);ai.workerCount=Math.max(Math.min(mi,6),1);var xt;function ct(){return xt||(xt=new ai),xt}function Nr(){var ve=ct();ve.acquire($a)}function Or(){var ve=xt;ve&&(ve.isPreloaded()&&ve.numActive()===1?(ve.release($a),xt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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Kr={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ur(ve,Y,ye){ye.push({command:Kr.addSource,args:[ve,Y[ve]]})}function aa(ve,Y,ye){Y.push({command:Kr.removeSource,args:[ve]}),ye[ve]=!0}function da(ve,Y,ye,te){aa(ve,ye,te),Ur(ve,Y,ye)}function fa(ve,Y,ye){var te;for(te in ve[ye])if(ve[ye].hasOwnProperty(te)&&te!==\"data\"&&!e.deepEqual(ve[ye][te],Y[ye][te]))return!1;for(te in Y[ye])if(Y[ye].hasOwnProperty(te)&&te!==\"data\"&&!e.deepEqual(ve[ye][te],Y[ye][te]))return!1;return!0}function It(ve,Y,ye,te){ve=ve||{},Y=Y||{};var me;for(me in ve)ve.hasOwnProperty(me)&&(Y.hasOwnProperty(me)||aa(me,ye,te));for(me in Y)Y.hasOwnProperty(me)&&(ve.hasOwnProperty(me)?e.deepEqual(ve[me],Y[me])||(ve[me].type===\"geojson\"&&Y[me].type===\"geojson\"&&fa(ve,Y,me)?ye.push({command:Kr.setGeoJSONSourceData,args:[me,Y[me].data]}):da(me,Y,ye,te)):Ur(me,Y,ye))}function dr(ve,Y,ye,te,me,Ge){ve=ve||{},Y=Y||{};var Le;for(Le in ve)ve.hasOwnProperty(Le)&&(e.deepEqual(ve[Le],Y[Le])||ye.push({command:Ge,args:[te,Le,Y[Le],me]}));for(Le in Y)!Y.hasOwnProperty(Le)||ve.hasOwnProperty(Le)||e.deepEqual(ve[Le],Y[Le])||ye.push({command:Ge,args:[te,Le,Y[Le],me]})}function kr(ve){return ve.id}function ia(ve,Y){return ve[Y.id]=Y,ve}function Ca(ve,Y,ye){ve=ve||[],Y=Y||[];var te=ve.map(kr),me=Y.map(kr),Ge=ve.reduce(ia,{}),Le=Y.reduce(ia,{}),$e=te.slice(),mt=Object.create(null),jt,_r,Fr,hr,gt,Et,Ft;for(jt=0,_r=0;jt<te.length;jt++)Fr=te[jt],Le.hasOwnProperty(Fr)?_r++:(ye.push({command:Kr.removeLayer,args:[Fr]}),$e.splice($e.indexOf(Fr,_r),1));for(jt=0,_r=0;jt<me.length;jt++)Fr=me[me.length-1-jt],$e[$e.length-1-jt]!==Fr&&(Ge.hasOwnProperty(Fr)?(ye.push({command:Kr.removeLayer,args:[Fr]}),$e.splice($e.lastIndexOf(Fr,$e.length-_r),1)):_r++,Et=$e[$e.length-jt],ye.push({command:Kr.addLayer,args:[Le[Fr],Et]}),$e.splice($e.length-jt,0,Fr),mt[Fr]=!0);for(jt=0;jt<me.length;jt++)if(Fr=me[jt],hr=Ge[Fr],gt=Le[Fr],!(mt[Fr]||e.deepEqual(hr,gt))){if(!e.deepEqual(hr.source,gt.source)||!e.deepEqual(hr[\"source-layer\"],gt[\"source-layer\"])||!e.deepEqual(hr.type,gt.type)){ye.push({command:Kr.removeLayer,args:[Fr]}),Et=$e[$e.lastIndexOf(Fr)+1],ye.push({command:Kr.addLayer,args:[gt,Et]});continue}dr(hr.layout,gt.layout,ye,Fr,null,Kr.setLayoutProperty),dr(hr.paint,gt.paint,ye,Fr,null,Kr.setPaintProperty),e.deepEqual(hr.filter,gt.filter)||ye.push({command:Kr.setFilter,args:[Fr,gt.filter]}),(!e.deepEqual(hr.minzoom,gt.minzoom)||!e.deepEqual(hr.maxzoom,gt.maxzoom))&&ye.push({command:Kr.setLayerZoomRange,args:[Fr,gt.minzoom,gt.maxzoom]});for(Ft in hr)hr.hasOwnProperty(Ft)&&(Ft===\"layout\"||Ft===\"paint\"||Ft===\"filter\"||Ft===\"metadata\"||Ft===\"minzoom\"||Ft===\"maxzoom\"||(Ft.indexOf(\"paint.\")===0?dr(hr[Ft],gt[Ft],ye,Fr,Ft.slice(6),Kr.setPaintProperty):e.deepEqual(hr[Ft],gt[Ft])||ye.push({command:Kr.setLayerProperty,args:[Fr,Ft,gt[Ft]]})));for(Ft in gt)!gt.hasOwnProperty(Ft)||hr.hasOwnProperty(Ft)||Ft===\"layout\"||Ft===\"paint\"||Ft===\"filter\"||Ft===\"metadata\"||Ft===\"minzoom\"||Ft===\"maxzoom\"||(Ft.indexOf(\"paint.\")===0?dr(hr[Ft],gt[Ft],ye,Fr,Ft.slice(6),Kr.setPaintProperty):e.deepEqual(hr[Ft],gt[Ft])||ye.push({command:Kr.setLayerProperty,args:[Fr,Ft,gt[Ft]]}))}}function Fa(ve,Y){if(!ve)return[{command:Kr.setStyle,args:[Y]}];var ye=[];try{if(!e.deepEqual(ve.version,Y.version))return[{command:Kr.setStyle,args:[Y]}];e.deepEqual(ve.center,Y.center)||ye.push({command:Kr.setCenter,args:[Y.center]}),e.deepEqual(ve.zoom,Y.zoom)||ye.push({command:Kr.setZoom,args:[Y.zoom]}),e.deepEqual(ve.bearing,Y.bearing)||ye.push({command:Kr.setBearing,args:[Y.bearing]}),e.deepEqual(ve.pitch,Y.pitch)||ye.push({command:Kr.setPitch,args:[Y.pitch]}),e.deepEqual(ve.sprite,Y.sprite)||ye.push({command:Kr.setSprite,args:[Y.sprite]}),e.deepEqual(ve.glyphs,Y.glyphs)||ye.push({command:Kr.setGlyphs,args:[Y.glyphs]}),e.deepEqual(ve.transition,Y.transition)||ye.push({command:Kr.setTransition,args:[Y.transition]}),e.deepEqual(ve.light,Y.light)||ye.push({command:Kr.setLight,args:[Y.light]});var te={},me=[];It(ve.sources,Y.sources,me,te);var Ge=[];ve.layers&&ve.layers.forEach(function(Le){te[Le.source]?ye.push({command:Kr.removeLayer,args:[Le.id]}):Ge.push(Le)}),ye=ye.concat(me),Ca(Ge,Y.layers,ye)}catch(Le){console.warn(\"Unable to compute style diff:\",Le),ye=[{command:Kr.setStyle,args:[Y]}]}return ye}var Ya=function(Y,ye){this.reset(Y,ye)};Ya.prototype.reset=function(Y,ye){this.points=Y||[],this._distances=[0];for(var te=1;te<this.points.length;te++)this._distances[te]=this._distances[te-1]+this.points[te].dist(this.points[te-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(ye||0,this.length*.5),this.paddedLength=this.length-this.padding*2},Ya.prototype.lerp=function(Y){if(this.points.length===1)return this.points[0];Y=e.clamp(Y,0,1);for(var ye=1,te=this._distances[ye],me=Y*this.paddedLength+this.padding;te<me&&ye<this._distances.length;)te=this._distances[++ye];var Ge=ye-1,Le=this._distances[Ge],$e=te-Le,mt=$e>0?(me-Le)/$e:0;return this.points[Ge].mult(1-mt).add(this.points[ye].mult(mt))};var ha=function(Y,ye,te){var me=this.boxCells=[],Ge=this.circleCells=[];this.xCellCount=Math.ceil(Y/te),this.yCellCount=Math.ceil(ye/te);for(var Le=0;Le<this.xCellCount*this.yCellCount;Le++)me.push([]),Ge.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=Y,this.height=ye,this.xScale=this.xCellCount/Y,this.yScale=this.yCellCount/ye,this.boxUid=0,this.circleUid=0};ha.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},ha.prototype.insert=function(Y,ye,te,me,Ge){this._forEachCell(ye,te,me,Ge,this._insertBoxCell,this.boxUid++),this.boxKeys.push(Y),this.bboxes.push(ye),this.bboxes.push(te),this.bboxes.push(me),this.bboxes.push(Ge)},ha.prototype.insertCircle=function(Y,ye,te,me){this._forEachCell(ye-me,te-me,ye+me,te+me,this._insertCircleCell,this.circleUid++),this.circleKeys.push(Y),this.circles.push(ye),this.circles.push(te),this.circles.push(me)},ha.prototype._insertBoxCell=function(Y,ye,te,me,Ge,Le){this.boxCells[Ge].push(Le)},ha.prototype._insertCircleCell=function(Y,ye,te,me,Ge,Le){this.circleCells[Ge].push(Le)},ha.prototype._query=function(Y,ye,te,me,Ge,Le){if(te<0||Y>this.width||me<0||ye>this.height)return Ge?!1:[];var $e=[];if(Y<=0&&ye<=0&&this.width<=te&&this.height<=me){if(Ge)return!0;for(var mt=0;mt<this.boxKeys.length;mt++)$e.push({key:this.boxKeys[mt],x1:this.bboxes[mt*4],y1:this.bboxes[mt*4+1],x2:this.bboxes[mt*4+2],y2:this.bboxes[mt*4+3]});for(var jt=0;jt<this.circleKeys.length;jt++){var _r=this.circles[jt*3],Fr=this.circles[jt*3+1],hr=this.circles[jt*3+2];$e.push({key:this.circleKeys[jt],x1:_r-hr,y1:Fr-hr,x2:_r+hr,y2:Fr+hr})}return Le?$e.filter(Le):$e}else{var gt={hitTest:Ge,seenUids:{box:{},circle:{}}};return this._forEachCell(Y,ye,te,me,this._queryCell,$e,gt,Le),Ge?$e.length>0:$e}},ha.prototype._queryCircle=function(Y,ye,te,me,Ge){var Le=Y-te,$e=Y+te,mt=ye-te,jt=ye+te;if($e<0||Le>this.width||jt<0||mt>this.height)return me?!1:[];var _r=[],Fr={hitTest:me,circle:{x:Y,y:ye,radius:te},seenUids:{box:{},circle:{}}};return this._forEachCell(Le,mt,$e,jt,this._queryCellCircle,_r,Fr,Ge),me?_r.length>0:_r},ha.prototype.query=function(Y,ye,te,me,Ge){return this._query(Y,ye,te,me,!1,Ge)},ha.prototype.hitTest=function(Y,ye,te,me,Ge){return this._query(Y,ye,te,me,!0,Ge)},ha.prototype.hitTestCircle=function(Y,ye,te,me){return this._queryCircle(Y,ye,te,!0,me)},ha.prototype._queryCell=function(Y,ye,te,me,Ge,Le,$e,mt){var jt=$e.seenUids,_r=this.boxCells[Ge];if(_r!==null)for(var Fr=this.bboxes,hr=0,gt=_r;hr<gt.length;hr+=1){var Et=gt[hr];if(!jt.box[Et]){jt.box[Et]=!0;var Ft=Et*4;if(Y<=Fr[Ft+2]&&ye<=Fr[Ft+3]&&te>=Fr[Ft+0]&&me>=Fr[Ft+1]&&(!mt||mt(this.boxKeys[Et]))){if($e.hitTest)return Le.push(!0),!0;Le.push({key:this.boxKeys[Et],x1:Fr[Ft],y1:Fr[Ft+1],x2:Fr[Ft+2],y2:Fr[Ft+3]})}}}var ir=this.circleCells[Ge];if(ir!==null)for(var fr=this.circles,sr=0,pr=ir;sr<pr.length;sr+=1){var lr=pr[sr];if(!jt.circle[lr]){jt.circle[lr]=!0;var Xt=lr*3;if(this._circleAndRectCollide(fr[Xt],fr[Xt+1],fr[Xt+2],Y,ye,te,me)&&(!mt||mt(this.circleKeys[lr]))){if($e.hitTest)return Le.push(!0),!0;var or=fr[Xt],qt=fr[Xt+1],Dr=fr[Xt+2];Le.push({key:this.circleKeys[lr],x1:or-Dr,y1:qt-Dr,x2:or+Dr,y2:qt+Dr})}}}},ha.prototype._queryCellCircle=function(Y,ye,te,me,Ge,Le,$e,mt){var jt=$e.circle,_r=$e.seenUids,Fr=this.boxCells[Ge];if(Fr!==null)for(var hr=this.bboxes,gt=0,Et=Fr;gt<Et.length;gt+=1){var Ft=Et[gt];if(!_r.box[Ft]){_r.box[Ft]=!0;var ir=Ft*4;if(this._circleAndRectCollide(jt.x,jt.y,jt.radius,hr[ir+0],hr[ir+1],hr[ir+2],hr[ir+3])&&(!mt||mt(this.boxKeys[Ft])))return Le.push(!0),!0}}var fr=this.circleCells[Ge];if(fr!==null)for(var sr=this.circles,pr=0,lr=fr;pr<lr.length;pr+=1){var Xt=lr[pr];if(!_r.circle[Xt]){_r.circle[Xt]=!0;var or=Xt*3;if(this._circlesCollide(sr[or],sr[or+1],sr[or+2],jt.x,jt.y,jt.radius)&&(!mt||mt(this.circleKeys[Xt])))return Le.push(!0),!0}}},ha.prototype._forEachCell=function(Y,ye,te,me,Ge,Le,$e,mt){for(var jt=this._convertToXCellCoord(Y),_r=this._convertToYCellCoord(ye),Fr=this._convertToXCellCoord(te),hr=this._convertToYCellCoord(me),gt=jt;gt<=Fr;gt++)for(var Et=_r;Et<=hr;Et++){var Ft=this.xCellCount*Et+gt;if(Ge.call(this,Y,ye,te,me,Ft,Le,$e,mt))return}},ha.prototype._convertToXCellCoord=function(Y){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(Y*this.xScale)))},ha.prototype._convertToYCellCoord=function(Y){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(Y*this.yScale)))},ha.prototype._circlesCollide=function(Y,ye,te,me,Ge,Le){var $e=me-Y,mt=Ge-ye,jt=te+Le;return jt*jt>$e*$e+mt*mt},ha.prototype._circleAndRectCollide=function(Y,ye,te,me,Ge,Le,$e){var mt=(Le-me)/2,jt=Math.abs(Y-(me+mt));if(jt>mt+te)return!1;var _r=($e-Ge)/2,Fr=Math.abs(ye-(Ge+_r));if(Fr>_r+te)return!1;if(jt<=mt||Fr<=_r)return!0;var hr=jt-mt,gt=Fr-_r;return hr*hr+gt*gt<=te*te};function Da(ve,Y,ye,te,me){var Ge=e.create();return Y?(e.scale(Ge,Ge,[1/me,1/me,1]),ye||e.rotateZ(Ge,Ge,te.angle)):e.multiply(Ge,te.labelPlaneMatrix,ve),Ge}function Xi(ve,Y,ye,te,me){if(Y){var Ge=e.clone(ve);return e.scale(Ge,Ge,[me,me,1]),ye||e.rotateZ(Ge,Ge,-te.angle),Ge}else return te.glCoordMatrix}function Li(ve,Y){var ye=[ve.x,ve.y,0,1];Ts(ye,ye,Y);var te=ye[3];return{point:new e.Point(ye[0]/te,ye[1]/te),signedDistanceFromCamera:te}}function fn(ve,Y){return .5+.5*(ve/Y)}function An(ve,Y){var ye=ve[0]/ve[3],te=ve[1]/ve[3],me=ye>=-Y[0]&&ye<=Y[0]&&te>=-Y[1]&&te<=Y[1];return me}function kn(ve,Y,ye,te,me,Ge,Le,$e){var mt=te?ve.textSizeData:ve.iconSizeData,jt=e.evaluateSizeForZoom(mt,ye.transform.zoom),_r=[256/ye.width*2+1,256/ye.height*2+1],Fr=te?ve.text.dynamicLayoutVertexArray:ve.icon.dynamicLayoutVertexArray;Fr.clear();for(var hr=ve.lineVertexArray,gt=te?ve.text.placedSymbolArray:ve.icon.placedSymbolArray,Et=ye.transform.width/ye.transform.height,Ft=!1,ir=0;ir<gt.length;ir++){var fr=gt.get(ir);if(fr.hidden||fr.writingMode===e.WritingMode.vertical&&!Ft){Xo(fr.numGlyphs,Fr);continue}Ft=!1;var sr=[fr.anchorX,fr.anchorY,0,1];if(e.transformMat4(sr,sr,Y),!An(sr,_r)){Xo(fr.numGlyphs,Fr);continue}var pr=sr[3],lr=fn(ye.transform.cameraToCenterDistance,pr),Xt=e.evaluateSizeForFeature(mt,jt,fr),or=Le?Xt/lr:Xt*lr,qt=new e.Point(fr.anchorX,fr.anchorY),Dr=Li(qt,me).point,Jr={},ba=to(fr,or,!1,$e,Y,me,Ge,ve.glyphOffsetArray,hr,Fr,Dr,qt,Jr,Et);Ft=ba.useVertical,(ba.notEnoughRoom||Ft||ba.needsFlipping&&to(fr,or,!0,$e,Y,me,Ge,ve.glyphOffsetArray,hr,Fr,Dr,qt,Jr,Et).notEnoughRoom)&&Xo(fr.numGlyphs,Fr)}te?ve.text.dynamicLayoutVertexBuffer.updateData(Fr):ve.icon.dynamicLayoutVertexBuffer.updateData(Fr)}function zn(ve,Y,ye,te,me,Ge,Le,$e,mt,jt,_r){var Fr=$e.glyphStartIndex+$e.numGlyphs,hr=$e.lineStartIndex,gt=$e.lineStartIndex+$e.lineLength,Et=Y.getoffsetX($e.glyphStartIndex),Ft=Y.getoffsetX(Fr-1),ir=pn(ve*Et,ye,te,me,Ge,Le,$e.segment,hr,gt,mt,jt,_r);if(!ir)return null;var fr=pn(ve*Ft,ye,te,me,Ge,Le,$e.segment,hr,gt,mt,jt,_r);return fr?{first:ir,last:fr}:null}function Xn(ve,Y,ye,te){if(ve===e.WritingMode.horizontal){var me=Math.abs(ye.y-Y.y),Ge=Math.abs(ye.x-Y.x)*te;if(me>Ge)return{useVertical:!0}}return(ve===e.WritingMode.vertical?Y.y<ye.y:Y.x>ye.x)?{needsFlipping:!0}:null}function to(ve,Y,ye,te,me,Ge,Le,$e,mt,jt,_r,Fr,hr,gt){var Et=Y/24,Ft=ve.lineOffsetX*Et,ir=ve.lineOffsetY*Et,fr;if(ve.numGlyphs>1){var sr=ve.glyphStartIndex+ve.numGlyphs,pr=ve.lineStartIndex,lr=ve.lineStartIndex+ve.lineLength,Xt=zn(Et,$e,Ft,ir,ye,_r,Fr,ve,mt,Ge,hr);if(!Xt)return{notEnoughRoom:!0};var or=Li(Xt.first.point,Le).point,qt=Li(Xt.last.point,Le).point;if(te&&!ye){var Dr=Xn(ve.writingMode,or,qt,gt);if(Dr)return Dr}fr=[Xt.first];for(var Jr=ve.glyphStartIndex+1;Jr<sr-1;Jr++)fr.push(pn(Et*$e.getoffsetX(Jr),Ft,ir,ye,_r,Fr,ve.segment,pr,lr,mt,Ge,hr));fr.push(Xt.last)}else{if(te&&!ye){var ba=Li(Fr,me).point,yi=ve.lineStartIndex+ve.segment+1,Xa=new e.Point(mt.getx(yi),mt.gety(yi)),si=Li(Xa,me),Ji=si.signedDistanceFromCamera>0?si.point:mo(Fr,Xa,ba,1,me),Bi=Xn(ve.writingMode,ba,Ji,gt);if(Bi)return Bi}var pi=pn(Et*$e.getoffsetX(ve.glyphStartIndex),Ft,ir,ye,_r,Fr,ve.segment,ve.lineStartIndex,ve.lineStartIndex+ve.lineLength,mt,Ge,hr);if(!pi)return{notEnoughRoom:!0};fr=[pi]}for(var wi=0,Mi=fr;wi<Mi.length;wi+=1){var Vi=Mi[wi];e.addDynamicAttributes(jt,Vi.point,Vi.angle)}return{}}function mo(ve,Y,ye,te,me){var Ge=Li(ve.add(ve.sub(Y)._unit()),me).point,Le=ye.sub(Ge);return ye.add(Le._mult(te/Le.mag()))}function pn(ve,Y,ye,te,me,Ge,Le,$e,mt,jt,_r,Fr){var hr=te?ve-Y:ve+Y,gt=hr>0?1:-1,Et=0;te&&(gt*=-1,Et=Math.PI),gt<0&&(Et+=Math.PI);for(var Ft=gt>0?$e+Le:$e+Le+1,ir=me,fr=me,sr=0,pr=0,lr=Math.abs(hr),Xt=[];sr+pr<=lr;){if(Ft+=gt,Ft<$e||Ft>=mt)return null;if(fr=ir,Xt.push(ir),ir=Fr[Ft],ir===void 0){var or=new e.Point(jt.getx(Ft),jt.gety(Ft)),qt=Li(or,_r);if(qt.signedDistanceFromCamera>0)ir=Fr[Ft]=qt.point;else{var Dr=Ft-gt,Jr=sr===0?Ge:new e.Point(jt.getx(Dr),jt.gety(Dr));ir=mo(Jr,or,fr,lr-sr+1,_r)}}sr+=pr,pr=fr.dist(ir)}var ba=(lr-sr)/pr,yi=ir.sub(fr),Xa=yi.mult(ba)._add(fr);Xa._add(yi._unit()._perp()._mult(ye*gt));var si=Et+Math.atan2(ir.y-fr.y,ir.x-fr.x);return Xt.push(Xa),{point:Xa,angle:si,path:Xt}}var Jo=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Xo(ve,Y){for(var ye=0;ye<ve;ye++){var te=Y.length;Y.resize(te+4),Y.float32.set(Jo,te*3)}}function Ts(ve,Y,ye){var te=Y[0],me=Y[1];return ve[0]=ye[0]*te+ye[4]*me+ye[12],ve[1]=ye[1]*te+ye[5]*me+ye[13],ve[3]=ye[3]*te+ye[7]*me+ye[15],ve}var Po=100,so=function(Y,ye,te){ye===void 0&&(ye=new ha(Y.width+2*Po,Y.height+2*Po,25)),te===void 0&&(te=new ha(Y.width+2*Po,Y.height+2*Po,25)),this.transform=Y,this.grid=ye,this.ignoredGrid=te,this.pitchfactor=Math.cos(Y._pitch)*Y.cameraToCenterDistance,this.screenRightBoundary=Y.width+Po,this.screenBottomBoundary=Y.height+Po,this.gridRightBoundary=Y.width+2*Po,this.gridBottomBoundary=Y.height+2*Po};so.prototype.placeCollisionBox=function(Y,ye,te,me,Ge){var Le=this.projectAndGetPerspectiveRatio(me,Y.anchorPointX,Y.anchorPointY),$e=te*Le.perspectiveRatio,mt=Y.x1*$e+Le.point.x,jt=Y.y1*$e+Le.point.y,_r=Y.x2*$e+Le.point.x,Fr=Y.y2*$e+Le.point.y;return!this.isInsideGrid(mt,jt,_r,Fr)||!ye&&this.grid.hitTest(mt,jt,_r,Fr,Ge)?{box:[],offscreen:!1}:{box:[mt,jt,_r,Fr],offscreen:this.isOffscreen(mt,jt,_r,Fr)}},so.prototype.placeCollisionCircles=function(Y,ye,te,me,Ge,Le,$e,mt,jt,_r,Fr,hr,gt){var Et=[],Ft=new e.Point(ye.anchorX,ye.anchorY),ir=Li(Ft,Le),fr=fn(this.transform.cameraToCenterDistance,ir.signedDistanceFromCamera),sr=_r?Ge/fr:Ge*fr,pr=sr/e.ONE_EM,lr=Li(Ft,$e).point,Xt={},or=ye.lineOffsetX*pr,qt=ye.lineOffsetY*pr,Dr=zn(pr,me,or,qt,!1,lr,Ft,ye,te,$e,Xt),Jr=!1,ba=!1,yi=!0;if(Dr){for(var Xa=hr*.5*fr+gt,si=new e.Point(-Po,-Po),Ji=new e.Point(this.screenRightBoundary,this.screenBottomBoundary),Bi=new Ya,pi=Dr.first,wi=Dr.last,Mi=[],Vi=pi.path.length-1;Vi>=1;Vi--)Mi.push(pi.path[Vi]);for(var cn=1;cn<wi.path.length;cn++)Mi.push(wi.path[cn]);var xo=Xa*2.5;if(mt){var jo=Mi.map(function(kp){return Li(kp,mt)});jo.some(function(kp){return kp.signedDistanceFromCamera<=0})?Mi=[]:Mi=jo.map(function(kp){return kp.point})}var ks=[];if(Mi.length>0){for(var Fo=Mi[0].clone(),bs=Mi[0].clone(),Hs=1;Hs<Mi.length;Hs++)Fo.x=Math.min(Fo.x,Mi[Hs].x),Fo.y=Math.min(Fo.y,Mi[Hs].y),bs.x=Math.max(bs.x,Mi[Hs].x),bs.y=Math.max(bs.y,Mi[Hs].y);Fo.x>=si.x&&bs.x<=Ji.x&&Fo.y>=si.y&&bs.y<=Ji.y?ks=[Mi]:bs.x<si.x||Fo.x>Ji.x||bs.y<si.y||Fo.y>Ji.y?ks=[]:ks=e.clipLine([Mi],si.x,si.y,Ji.x,Ji.y)}for(var pu=0,Mp=ks;pu<Mp.length;pu+=1){var Ep=Mp[pu];Bi.reset(Ep,Xa*.25);var Ph=0;Bi.length<=.5*Xa?Ph=1:Ph=Math.ceil(Bi.paddedLength/xo)+1;for(var qp=0;qp<Ph;qp++){var qd=qp/Math.max(Ph-1,1),td=Bi.lerp(qd),Ih=td.x+Po,rd=td.y+Po;Et.push(Ih,rd,Xa,0);var Kh=Ih-Xa,Rh=rd-Xa,Cp=Ih+Xa,Vp=rd+Xa;if(yi=yi&&this.isOffscreen(Kh,Rh,Cp,Vp),ba=ba||this.isInsideGrid(Kh,Rh,Cp,Vp),!Y&&this.grid.hitTestCircle(Ih,rd,Xa,Fr)&&(Jr=!0,!jt))return{circles:[],offscreen:!1,collisionDetected:Jr}}}}return{circles:!jt&&Jr||!ba?[]:Et,offscreen:yi,collisionDetected:Jr}},so.prototype.queryRenderedSymbols=function(Y){if(Y.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};for(var ye=[],te=1/0,me=1/0,Ge=-1/0,Le=-1/0,$e=0,mt=Y;$e<mt.length;$e+=1){var jt=mt[$e],_r=new e.Point(jt.x+Po,jt.y+Po);te=Math.min(te,_r.x),me=Math.min(me,_r.y),Ge=Math.max(Ge,_r.x),Le=Math.max(Le,_r.y),ye.push(_r)}for(var Fr=this.grid.query(te,me,Ge,Le).concat(this.ignoredGrid.query(te,me,Ge,Le)),hr={},gt={},Et=0,Ft=Fr;Et<Ft.length;Et+=1){var ir=Ft[Et],fr=ir.key;if(hr[fr.bucketInstanceId]===void 0&&(hr[fr.bucketInstanceId]={}),!hr[fr.bucketInstanceId][fr.featureIndex]){var sr=[new e.Point(ir.x1,ir.y1),new e.Point(ir.x2,ir.y1),new e.Point(ir.x2,ir.y2),new e.Point(ir.x1,ir.y2)];e.polygonIntersectsPolygon(ye,sr)&&(hr[fr.bucketInstanceId][fr.featureIndex]=!0,gt[fr.bucketInstanceId]===void 0&&(gt[fr.bucketInstanceId]=[]),gt[fr.bucketInstanceId].push(fr.featureIndex))}}return gt},so.prototype.insertCollisionBox=function(Y,ye,te,me,Ge){var Le=ye?this.ignoredGrid:this.grid,$e={bucketInstanceId:te,featureIndex:me,collisionGroupID:Ge};Le.insert($e,Y[0],Y[1],Y[2],Y[3])},so.prototype.insertCollisionCircles=function(Y,ye,te,me,Ge){for(var Le=ye?this.ignoredGrid:this.grid,$e={bucketInstanceId:te,featureIndex:me,collisionGroupID:Ge},mt=0;mt<Y.length;mt+=4)Le.insertCircle($e,Y[mt],Y[mt+1],Y[mt+2])},so.prototype.projectAndGetPerspectiveRatio=function(Y,ye,te){var me=[ye,te,0,1];Ts(me,me,Y);var Ge=new e.Point((me[0]/me[3]+1)/2*this.transform.width+Po,(-me[1]/me[3]+1)/2*this.transform.height+Po);return{point:Ge,perspectiveRatio:.5+.5*(this.transform.cameraToCenterDistance/me[3])}},so.prototype.isOffscreen=function(Y,ye,te,me){return te<Po||Y>=this.screenRightBoundary||me<Po||ye>this.screenBottomBoundary},so.prototype.isInsideGrid=function(Y,ye,te,me){return te>=0&&Y<this.gridRightBoundary&&me>=0&&ye<this.gridBottomBoundary},so.prototype.getViewportMatrix=function(){var Y=e.identity([]);return e.translate(Y,Y,[-Po,-Po,0]),Y};function Vn(ve,Y,ye){return Y*(e.EXTENT/(ve.tileSize*Math.pow(2,ye-ve.tileID.overscaledZ)))}var To=function(Y,ye,te,me){Y?this.opacity=Math.max(0,Math.min(1,Y.opacity+(Y.placed?ye:-ye))):this.opacity=me&&te?1:0,this.placed=te};To.prototype.isHidden=function(){return this.opacity===0&&!this.placed};var qo=function(Y,ye,te,me,Ge){this.text=new To(Y?Y.text:null,ye,te,Ge),this.icon=new To(Y?Y.icon:null,ye,me,Ge)};qo.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var Oo=function(Y,ye,te){this.text=Y,this.icon=ye,this.skipFade=te},lo=function(){this.invProjMatrix=e.create(),this.viewportMatrix=e.create(),this.circles=[]},Co=function(Y,ye,te,me,Ge){this.bucketInstanceId=Y,this.featureIndex=ye,this.sourceLayerIndex=te,this.bucketIndex=me,this.tileID=Ge},os=function(Y){this.crossSourceCollisions=Y,this.maxGroupID=0,this.collisionGroups={}};os.prototype.get=function(Y){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[Y]){var ye=++this.maxGroupID;this.collisionGroups[Y]={ID:ye,predicate:function(te){return te.collisionGroupID===ye}}}return this.collisionGroups[Y]};function Ys(ve,Y,ye,te,me){var Ge=e.getAnchorAlignment(ve),Le=Ge.horizontalAlign,$e=Ge.verticalAlign,mt=-(Le-.5)*Y,jt=-($e-.5)*ye,_r=e.evaluateVariableOffset(ve,te);return new e.Point(mt+_r[0]*me,jt+_r[1]*me)}function Os(ve,Y,ye,te,me,Ge){var Le=ve.x1,$e=ve.x2,mt=ve.y1,jt=ve.y2,_r=ve.anchorPointX,Fr=ve.anchorPointY,hr=new e.Point(Y,ye);return te&&hr._rotate(me?Ge:-Ge),{x1:Le+hr.x,y1:mt+hr.y,x2:$e+hr.x,y2:jt+hr.y,anchorPointX:_r,anchorPointY:Fr}}var Yo=function(Y,ye,te,me){this.transform=Y.clone(),this.collisionIndex=new so(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=ye,this.retainedQueryData={},this.collisionGroups=new os(te),this.collisionCircleArrays={},this.prevPlacement=me,me&&(me.prevPlacement=void 0),this.placedOrientations={}};Yo.prototype.getBucketParts=function(Y,ye,te,me){var Ge=te.getBucket(ye),Le=te.latestFeatureIndex;if(!(!Ge||!Le||ye.id!==Ge.layerIds[0])){var $e=te.collisionBoxArray,mt=Ge.layers[0].layout,jt=Math.pow(2,this.transform.zoom-te.tileID.overscaledZ),_r=te.tileSize/e.EXTENT,Fr=this.transform.calculatePosMatrix(te.tileID.toUnwrapped()),hr=mt.get(\"text-pitch-alignment\")===\"map\",gt=mt.get(\"text-rotation-alignment\")===\"map\",Et=Vn(te,1,this.transform.zoom),Ft=Da(Fr,hr,gt,this.transform,Et),ir=null;if(hr){var fr=Xi(Fr,hr,gt,this.transform,Et);ir=e.multiply([],this.transform.labelPlaneMatrix,fr)}this.retainedQueryData[Ge.bucketInstanceId]=new Co(Ge.bucketInstanceId,Le,Ge.sourceLayerIndex,Ge.index,te.tileID);var sr={bucket:Ge,layout:mt,posMatrix:Fr,textLabelPlaneMatrix:Ft,labelToScreenMatrix:ir,scale:jt,textPixelRatio:_r,holdingForFade:te.holdingForFade(),collisionBoxArray:$e,partiallyEvaluatedTextSize:e.evaluateSizeForZoom(Ge.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(Ge.sourceID)};if(me)for(var pr=0,lr=Ge.sortKeyRanges;pr<lr.length;pr+=1){var Xt=lr[pr],or=Xt.sortKey,qt=Xt.symbolInstanceStart,Dr=Xt.symbolInstanceEnd;Y.push({sortKey:or,symbolInstanceStart:qt,symbolInstanceEnd:Dr,parameters:sr})}else Y.push({symbolInstanceStart:0,symbolInstanceEnd:Ge.symbolInstances.length,parameters:sr})}},Yo.prototype.attemptAnchorPlacement=function(Y,ye,te,me,Ge,Le,$e,mt,jt,_r,Fr,hr,gt,Et,Ft){var ir=[hr.textOffset0,hr.textOffset1],fr=Ys(Y,te,me,ir,Ge),sr=this.collisionIndex.placeCollisionBox(Os(ye,fr.x,fr.y,Le,$e,this.transform.angle),Fr,mt,jt,_r.predicate);if(Ft){var pr=this.collisionIndex.placeCollisionBox(Os(Ft,fr.x,fr.y,Le,$e,this.transform.angle),Fr,mt,jt,_r.predicate);if(pr.box.length===0)return}if(sr.box.length>0){var lr;return this.prevPlacement&&this.prevPlacement.variableOffsets[hr.crossTileID]&&this.prevPlacement.placements[hr.crossTileID]&&this.prevPlacement.placements[hr.crossTileID].text&&(lr=this.prevPlacement.variableOffsets[hr.crossTileID].anchor),this.variableOffsets[hr.crossTileID]={textOffset:ir,width:te,height:me,anchor:Y,textBoxScale:Ge,prevAnchor:lr},this.markUsedJustification(gt,Y,hr,Et),gt.allowVerticalPlacement&&(this.markUsedOrientation(gt,Et,hr),this.placedOrientations[hr.crossTileID]=Et),{shift:fr,placedGlyphBoxes:sr}}},Yo.prototype.placeLayerBucketPart=function(Y,ye,te){var me=this,Ge=Y.parameters,Le=Ge.bucket,$e=Ge.layout,mt=Ge.posMatrix,jt=Ge.textLabelPlaneMatrix,_r=Ge.labelToScreenMatrix,Fr=Ge.textPixelRatio,hr=Ge.holdingForFade,gt=Ge.collisionBoxArray,Et=Ge.partiallyEvaluatedTextSize,Ft=Ge.collisionGroup,ir=$e.get(\"text-optional\"),fr=$e.get(\"icon-optional\"),sr=$e.get(\"text-allow-overlap\"),pr=$e.get(\"icon-allow-overlap\"),lr=$e.get(\"text-rotation-alignment\")===\"map\",Xt=$e.get(\"text-pitch-alignment\")===\"map\",or=$e.get(\"icon-text-fit\")!==\"none\",qt=$e.get(\"symbol-z-order\")===\"viewport-y\",Dr=sr&&(pr||!Le.hasIconData()||fr),Jr=pr&&(sr||!Le.hasTextData()||ir);!Le.collisionArrays&&gt&&Le.deserializeCollisionBoxes(gt);var ba=function(pi,wi){if(!ye[pi.crossTileID]){if(hr){me.placements[pi.crossTileID]=new Oo(!1,!1,!1);return}var Mi=!1,Vi=!1,cn=!0,xo=null,jo={box:null,offscreen:null},ks={box:null,offscreen:null},Fo=null,bs=null,Hs=null,pu=0,Mp=0,Ep=0;wi.textFeatureIndex?pu=wi.textFeatureIndex:pi.useRuntimeCollisionCircles&&(pu=pi.featureIndex),wi.verticalTextFeatureIndex&&(Mp=wi.verticalTextFeatureIndex);var Ph=wi.textBox;if(Ph){var qp=function(cc){var lu=e.WritingMode.horizontal;if(Le.allowVerticalPlacement&&!cc&&me.prevPlacement){var Dh=me.prevPlacement.placedOrientations[pi.crossTileID];Dh&&(me.placedOrientations[pi.crossTileID]=Dh,lu=Dh,me.markUsedOrientation(Le,lu,pi))}return lu},qd=function(cc,lu){if(Le.allowVerticalPlacement&&pi.numVerticalGlyphVertices>0&&wi.verticalTextBox)for(var Dh=0,Iv=Le.writingModes;Dh<Iv.length;Dh+=1){var om=Iv[Dh];if(om===e.WritingMode.vertical?(jo=lu(),ks=jo):jo=cc(),jo&&jo.box&&jo.box.length)break}else jo=cc()};if($e.get(\"text-variable-anchor\")){var Kh=$e.get(\"text-variable-anchor\");if(me.prevPlacement&&me.prevPlacement.variableOffsets[pi.crossTileID]){var Rh=me.prevPlacement.variableOffsets[pi.crossTileID];Kh.indexOf(Rh.anchor)>0&&(Kh=Kh.filter(function(cc){return cc!==Rh.anchor}),Kh.unshift(Rh.anchor))}var Cp=function(cc,lu,Dh){for(var Iv=cc.x2-cc.x1,om=cc.y2-cc.y1,Au=pi.textBoxScale,x0=or&&!pr?lu:null,sv={box:[],offscreen:!1},_g=sr?Kh.length*2:Kh.length,Lp=0;Lp<_g;++Lp){var lv=Kh[Lp%Kh.length],xg=Lp>=Kh.length,b0=me.attemptAnchorPlacement(lv,cc,Iv,om,Au,lr,Xt,Fr,mt,Ft,xg,pi,Le,Dh,x0);if(b0&&(sv=b0.placedGlyphBoxes,sv&&sv.box&&sv.box.length)){Mi=!0,xo=b0.shift;break}}return sv},Vp=function(){return Cp(Ph,wi.iconBox,e.WritingMode.horizontal)},kp=function(){var cc=wi.verticalTextBox,lu=jo&&jo.box&&jo.box.length;return Le.allowVerticalPlacement&&!lu&&pi.numVerticalGlyphVertices>0&&cc?Cp(cc,wi.verticalIconBox,e.WritingMode.vertical):{box:null,offscreen:null}};qd(Vp,kp),jo&&(Mi=jo.box,cn=jo.offscreen);var kv=qp(jo&&jo.box);if(!Mi&&me.prevPlacement){var Vd=me.prevPlacement.variableOffsets[pi.crossTileID];Vd&&(me.variableOffsets[pi.crossTileID]=Vd,me.markUsedJustification(Le,Vd.anchor,pi,kv))}}else{var td=function(cc,lu){var Dh=me.collisionIndex.placeCollisionBox(cc,sr,Fr,mt,Ft.predicate);return Dh&&Dh.box&&Dh.box.length&&(me.markUsedOrientation(Le,lu,pi),me.placedOrientations[pi.crossTileID]=lu),Dh},Ih=function(){return td(Ph,e.WritingMode.horizontal)},rd=function(){var cc=wi.verticalTextBox;return Le.allowVerticalPlacement&&pi.numVerticalGlyphVertices>0&&cc?td(cc,e.WritingMode.vertical):{box:null,offscreen:null}};qd(Ih,rd),qp(jo&&jo.box&&jo.box.length)}}if(Fo=jo,Mi=Fo&&Fo.box&&Fo.box.length>0,cn=Fo&&Fo.offscreen,pi.useRuntimeCollisionCircles){var qf=Le.text.placedSymbolArray.get(pi.centerJustifiedTextSymbolIndex),Gd=e.evaluateSizeForFeature(Le.textSizeData,Et,qf),Lv=$e.get(\"text-padding\"),ch=pi.collisionCircleDiameter;bs=me.collisionIndex.placeCollisionCircles(sr,qf,Le.lineVertexArray,Le.glyphOffsetArray,Gd,mt,jt,_r,te,Xt,Ft.predicate,ch,Lv),Mi=sr||bs.circles.length>0&&!bs.collisionDetected,cn=cn&&bs.offscreen}if(wi.iconFeatureIndex&&(Ep=wi.iconFeatureIndex),wi.iconBox){var iv=function(cc){var lu=or&&xo?Os(cc,xo.x,xo.y,lr,Xt,me.transform.angle):cc;return me.collisionIndex.placeCollisionBox(lu,pr,Fr,mt,Ft.predicate)};ks&&ks.box&&ks.box.length&&wi.verticalIconBox?(Hs=iv(wi.verticalIconBox),Vi=Hs.box.length>0):(Hs=iv(wi.iconBox),Vi=Hs.box.length>0),cn=cn&&Hs.offscreen}var im=ir||pi.numHorizontalGlyphVertices===0&&pi.numVerticalGlyphVertices===0,nm=fr||pi.numIconVertices===0;if(!im&&!nm?Vi=Mi=Vi&&Mi:nm?im||(Vi=Vi&&Mi):Mi=Vi&&Mi,Mi&&Fo&&Fo.box&&(ks&&ks.box&&Mp?me.collisionIndex.insertCollisionBox(Fo.box,$e.get(\"text-ignore-placement\"),Le.bucketInstanceId,Mp,Ft.ID):me.collisionIndex.insertCollisionBox(Fo.box,$e.get(\"text-ignore-placement\"),Le.bucketInstanceId,pu,Ft.ID)),Vi&&Hs&&me.collisionIndex.insertCollisionBox(Hs.box,$e.get(\"icon-ignore-placement\"),Le.bucketInstanceId,Ep,Ft.ID),bs&&(Mi&&me.collisionIndex.insertCollisionCircles(bs.circles,$e.get(\"text-ignore-placement\"),Le.bucketInstanceId,pu,Ft.ID),te)){var Pv=Le.bucketInstanceId,nv=me.collisionCircleArrays[Pv];nv===void 0&&(nv=me.collisionCircleArrays[Pv]=new lo);for(var ov=0;ov<bs.circles.length;ov+=4)nv.circles.push(bs.circles[ov+0]),nv.circles.push(bs.circles[ov+1]),nv.circles.push(bs.circles[ov+2]),nv.circles.push(bs.collisionDetected?1:0)}me.placements[pi.crossTileID]=new Oo(Mi||Dr,Vi||Jr,cn||Le.justReloaded),ye[pi.crossTileID]=!0}};if(qt)for(var yi=Le.getSortedSymbolIndexes(this.transform.angle),Xa=yi.length-1;Xa>=0;--Xa){var si=yi[Xa];ba(Le.symbolInstances.get(si),Le.collisionArrays[si])}else for(var Ji=Y.symbolInstanceStart;Ji<Y.symbolInstanceEnd;Ji++)ba(Le.symbolInstances.get(Ji),Le.collisionArrays[Ji]);if(te&&Le.bucketInstanceId in this.collisionCircleArrays){var Bi=this.collisionCircleArrays[Le.bucketInstanceId];e.invert(Bi.invProjMatrix,mt),Bi.viewportMatrix=this.collisionIndex.getViewportMatrix()}Le.justReloaded=!1},Yo.prototype.markUsedJustification=function(Y,ye,te,me){var Ge={left:te.leftJustifiedTextSymbolIndex,center:te.centerJustifiedTextSymbolIndex,right:te.rightJustifiedTextSymbolIndex},Le;me===e.WritingMode.vertical?Le=te.verticalPlacedTextSymbolIndex:Le=Ge[e.getAnchorJustification(ye)];for(var $e=[te.leftJustifiedTextSymbolIndex,te.centerJustifiedTextSymbolIndex,te.rightJustifiedTextSymbolIndex,te.verticalPlacedTextSymbolIndex],mt=0,jt=$e;mt<jt.length;mt+=1){var _r=jt[mt];_r>=0&&(Le>=0&&_r!==Le?Y.text.placedSymbolArray.get(_r).crossTileID=0:Y.text.placedSymbolArray.get(_r).crossTileID=te.crossTileID)}},Yo.prototype.markUsedOrientation=function(Y,ye,te){for(var me=ye===e.WritingMode.horizontal||ye===e.WritingMode.horizontalOnly?ye:0,Ge=ye===e.WritingMode.vertical?ye:0,Le=[te.leftJustifiedTextSymbolIndex,te.centerJustifiedTextSymbolIndex,te.rightJustifiedTextSymbolIndex],$e=0,mt=Le;$e<mt.length;$e+=1){var jt=mt[$e];Y.text.placedSymbolArray.get(jt).placedOrientation=me}te.verticalPlacedTextSymbolIndex&&(Y.text.placedSymbolArray.get(te.verticalPlacedTextSymbolIndex).placedOrientation=Ge)},Yo.prototype.commit=function(Y){this.commitTime=Y,this.zoomAtLastRecencyCheck=this.transform.zoom;var ye=this.prevPlacement,te=!1;this.prevZoomAdjustment=ye?ye.zoomAdjustment(this.transform.zoom):0;var me=ye?ye.symbolFadeChange(Y):1,Ge=ye?ye.opacities:{},Le=ye?ye.variableOffsets:{},$e=ye?ye.placedOrientations:{};for(var mt in this.placements){var jt=this.placements[mt],_r=Ge[mt];_r?(this.opacities[mt]=new qo(_r,me,jt.text,jt.icon),te=te||jt.text!==_r.text.placed||jt.icon!==_r.icon.placed):(this.opacities[mt]=new qo(null,me,jt.text,jt.icon,jt.skipFade),te=te||jt.text||jt.icon)}for(var Fr in Ge){var hr=Ge[Fr];if(!this.opacities[Fr]){var gt=new qo(hr,me,!1,!1);gt.isHidden()||(this.opacities[Fr]=gt,te=te||hr.text.placed||hr.icon.placed)}}for(var Et in Le)!this.variableOffsets[Et]&&this.opacities[Et]&&!this.opacities[Et].isHidden()&&(this.variableOffsets[Et]=Le[Et]);for(var Ft in $e)!this.placedOrientations[Ft]&&this.opacities[Ft]&&!this.opacities[Ft].isHidden()&&(this.placedOrientations[Ft]=$e[Ft]);te?this.lastPlacementChangeTime=Y:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=ye?ye.lastPlacementChangeTime:Y)},Yo.prototype.updateLayerOpacities=function(Y,ye){for(var te={},me=0,Ge=ye;me<Ge.length;me+=1){var Le=Ge[me],$e=Le.getBucket(Y);$e&&Le.latestFeatureIndex&&Y.id===$e.layerIds[0]&&this.updateBucketOpacities($e,te,Le.collisionBoxArray)}},Yo.prototype.updateBucketOpacities=function(Y,ye,te){var me=this;Y.hasTextData()&&Y.text.opacityVertexArray.clear(),Y.hasIconData()&&Y.icon.opacityVertexArray.clear(),Y.hasIconCollisionBoxData()&&Y.iconCollisionBox.collisionVertexArray.clear(),Y.hasTextCollisionBoxData()&&Y.textCollisionBox.collisionVertexArray.clear();var Ge=Y.layers[0].layout,Le=new qo(null,0,!1,!1,!0),$e=Ge.get(\"text-allow-overlap\"),mt=Ge.get(\"icon-allow-overlap\"),jt=Ge.get(\"text-variable-anchor\"),_r=Ge.get(\"text-rotation-alignment\")===\"map\",Fr=Ge.get(\"text-pitch-alignment\")===\"map\",hr=Ge.get(\"icon-text-fit\")!==\"none\",gt=new qo(null,0,$e&&(mt||!Y.hasIconData()||Ge.get(\"icon-optional\")),mt&&($e||!Y.hasTextData()||Ge.get(\"text-optional\")),!0);!Y.collisionArrays&&te&&(Y.hasIconCollisionBoxData()||Y.hasTextCollisionBoxData())&&Y.deserializeCollisionBoxes(te);for(var Et=function(sr,pr,lr){for(var Xt=0;Xt<pr/4;Xt++)sr.opacityVertexArray.emplaceBack(lr)},Ft=function(sr){var pr=Y.symbolInstances.get(sr),lr=pr.numHorizontalGlyphVertices,Xt=pr.numVerticalGlyphVertices,or=pr.crossTileID,qt=ye[or],Dr=me.opacities[or];qt?Dr=Le:Dr||(Dr=gt,me.opacities[or]=Dr),ye[or]=!0;var Jr=lr>0||Xt>0,ba=pr.numIconVertices>0,yi=me.placedOrientations[pr.crossTileID],Xa=yi===e.WritingMode.vertical,si=yi===e.WritingMode.horizontal||yi===e.WritingMode.horizontalOnly;if(Jr){var Ji=rl(Dr.text),Bi=Xa?Sn:Ji;Et(Y.text,lr,Bi);var pi=si?Sn:Ji;Et(Y.text,Xt,pi);var wi=Dr.text.isHidden();[pr.rightJustifiedTextSymbolIndex,pr.centerJustifiedTextSymbolIndex,pr.leftJustifiedTextSymbolIndex].forEach(function(Ep){Ep>=0&&(Y.text.placedSymbolArray.get(Ep).hidden=wi||Xa?1:0)}),pr.verticalPlacedTextSymbolIndex>=0&&(Y.text.placedSymbolArray.get(pr.verticalPlacedTextSymbolIndex).hidden=wi||si?1:0);var Mi=me.variableOffsets[pr.crossTileID];Mi&&me.markUsedJustification(Y,Mi.anchor,pr,yi);var Vi=me.placedOrientations[pr.crossTileID];Vi&&(me.markUsedJustification(Y,\"left\",pr,Vi),me.markUsedOrientation(Y,Vi,pr))}if(ba){var cn=rl(Dr.icon),xo=!(hr&&pr.verticalPlacedIconSymbolIndex&&Xa);if(pr.placedIconSymbolIndex>=0){var jo=xo?cn:Sn;Et(Y.icon,pr.numIconVertices,jo),Y.icon.placedSymbolArray.get(pr.placedIconSymbolIndex).hidden=Dr.icon.isHidden()}if(pr.verticalPlacedIconSymbolIndex>=0){var ks=xo?Sn:cn;Et(Y.icon,pr.numVerticalIconVertices,ks),Y.icon.placedSymbolArray.get(pr.verticalPlacedIconSymbolIndex).hidden=Dr.icon.isHidden()}}if(Y.hasIconCollisionBoxData()||Y.hasTextCollisionBoxData()){var Fo=Y.collisionArrays[sr];if(Fo){var bs=new e.Point(0,0);if(Fo.textBox||Fo.verticalTextBox){var Hs=!0;if(jt){var pu=me.variableOffsets[or];pu?(bs=Ys(pu.anchor,pu.width,pu.height,pu.textOffset,pu.textBoxScale),_r&&bs._rotate(Fr?me.transform.angle:-me.transform.angle)):Hs=!1}Fo.textBox&&Ui(Y.textCollisionBox.collisionVertexArray,Dr.text.placed,!Hs||Xa,bs.x,bs.y),Fo.verticalTextBox&&Ui(Y.textCollisionBox.collisionVertexArray,Dr.text.placed,!Hs||si,bs.x,bs.y)}var Mp=!!(!si&&Fo.verticalIconBox);Fo.iconBox&&Ui(Y.iconCollisionBox.collisionVertexArray,Dr.icon.placed,Mp,hr?bs.x:0,hr?bs.y:0),Fo.verticalIconBox&&Ui(Y.iconCollisionBox.collisionVertexArray,Dr.icon.placed,!Mp,hr?bs.x:0,hr?bs.y:0)}}},ir=0;ir<Y.symbolInstances.length;ir++)Ft(ir);if(Y.sortFeatures(this.transform.angle),this.retainedQueryData[Y.bucketInstanceId]&&(this.retainedQueryData[Y.bucketInstanceId].featureSortOrder=Y.featureSortOrder),Y.hasTextData()&&Y.text.opacityVertexBuffer&&Y.text.opacityVertexBuffer.updateData(Y.text.opacityVertexArray),Y.hasIconData()&&Y.icon.opacityVertexBuffer&&Y.icon.opacityVertexBuffer.updateData(Y.icon.opacityVertexArray),Y.hasIconCollisionBoxData()&&Y.iconCollisionBox.collisionVertexBuffer&&Y.iconCollisionBox.collisionVertexBuffer.updateData(Y.iconCollisionBox.collisionVertexArray),Y.hasTextCollisionBoxData()&&Y.textCollisionBox.collisionVertexBuffer&&Y.textCollisionBox.collisionVertexBuffer.updateData(Y.textCollisionBox.collisionVertexArray),Y.bucketInstanceId in this.collisionCircleArrays){var fr=this.collisionCircleArrays[Y.bucketInstanceId];Y.placementInvProjMatrix=fr.invProjMatrix,Y.placementViewportMatrix=fr.viewportMatrix,Y.collisionCircleArray=fr.circles,delete this.collisionCircleArrays[Y.bucketInstanceId]}},Yo.prototype.symbolFadeChange=function(Y){return this.fadeDuration===0?1:(Y-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Yo.prototype.zoomAdjustment=function(Y){return Math.max(0,(this.transform.zoom-Y)/1.5)},Yo.prototype.hasTransitions=function(Y){return this.stale||Y-this.lastPlacementChangeTime<this.fadeDuration},Yo.prototype.stillRecent=function(Y,ye){var te=this.zoomAtLastRecencyCheck===ye?1-this.zoomAdjustment(ye):1;return this.zoomAtLastRecencyCheck=ye,this.commitTime+this.fadeDuration*te>Y},Yo.prototype.setStale=function(){this.stale=!0};function Ui(ve,Y,ye,te,me){ve.emplaceBack(Y?1:0,ye?1:0,te||0,me||0),ve.emplaceBack(Y?1:0,ye?1:0,te||0,me||0),ve.emplaceBack(Y?1:0,ye?1:0,te||0,me||0),ve.emplaceBack(Y?1:0,ye?1:0,te||0,me||0)}var Cn=Math.pow(2,25),tl=Math.pow(2,24),Bs=Math.pow(2,17),uo=Math.pow(2,16),$s=Math.pow(2,9),ms=Math.pow(2,8),Is=Math.pow(2,1);function rl(ve){if(ve.opacity===0&&!ve.placed)return 0;if(ve.opacity===1&&ve.placed)return 4294967295;var Y=ve.placed?1:0,ye=Math.floor(ve.opacity*127);return ye*Cn+Y*tl+ye*Bs+Y*uo+ye*$s+Y*ms+ye*Is+Y}var Sn=0,po=function(Y){this._sortAcrossTiles=Y.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&Y.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};po.prototype.continuePlacement=function(Y,ye,te,me,Ge){for(var Le=this._bucketParts;this._currentTileIndex<Y.length;){var $e=Y[this._currentTileIndex];if(ye.getBucketParts(Le,me,$e,this._sortAcrossTiles),this._currentTileIndex++,Ge())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,Le.sort(function(jt,_r){return jt.sortKey-_r.sortKey}));this._currentPartIndex<Le.length;){var mt=Le[this._currentPartIndex];if(ye.placeLayerBucketPart(mt,this._seenCrossTileIDs,te),this._currentPartIndex++,Ge())return!0}return!1};var ro=function(Y,ye,te,me,Ge,Le,$e){this.placement=new Yo(Y,Ge,Le,$e),this._currentPlacementIndex=ye.length-1,this._forceFullPlacement=te,this._showCollisionBoxes=me,this._done=!1};ro.prototype.isDone=function(){return this._done},ro.prototype.continuePlacement=function(Y,ye,te){for(var me=this,Ge=e.browser.now(),Le=function(){var Fr=e.browser.now()-Ge;return me._forceFullPlacement?!1:Fr>2};this._currentPlacementIndex>=0;){var $e=Y[this._currentPlacementIndex],mt=ye[$e],jt=this.placement.collisionIndex.transform.zoom;if(mt.type===\"symbol\"&&(!mt.minzoom||mt.minzoom<=jt)&&(!mt.maxzoom||mt.maxzoom>jt)){this._inProgressLayer||(this._inProgressLayer=new po(mt));var _r=this._inProgressLayer.continuePlacement(te[mt.source],this.placement,this._showCollisionBoxes,mt,Le);if(_r)return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ro.prototype.commit=function(Y){return this.placement.commit(Y),this.placement};var As=512/e.EXTENT/2,al=function(Y,ye,te){this.tileID=Y,this.indexedSymbolInstances={},this.bucketInstanceId=te;for(var me=0;me<ye.length;me++){var Ge=ye.get(me),Le=Ge.key;this.indexedSymbolInstances[Le]||(this.indexedSymbolInstances[Le]=[]),this.indexedSymbolInstances[Le].push({crossTileID:Ge.crossTileID,coord:this.getScaledCoordinates(Ge,Y)})}};al.prototype.getScaledCoordinates=function(Y,ye){var te=ye.canonical.z-this.tileID.canonical.z,me=As/Math.pow(2,te);return{x:Math.floor((ye.canonical.x*e.EXTENT+Y.anchorX)*me),y:Math.floor((ye.canonical.y*e.EXTENT+Y.anchorY)*me)}},al.prototype.findMatches=function(Y,ye,te){for(var me=this.tileID.canonical.z<ye.canonical.z?1:Math.pow(2,this.tileID.canonical.z-ye.canonical.z),Ge=0;Ge<Y.length;Ge++){var Le=Y.get(Ge);if(!Le.crossTileID){var $e=this.indexedSymbolInstances[Le.key];if($e)for(var mt=this.getScaledCoordinates(Le,ye),jt=0,_r=$e;jt<_r.length;jt+=1){var Fr=_r[jt];if(Math.abs(Fr.coord.x-mt.x)<=me&&Math.abs(Fr.coord.y-mt.y)<=me&&!te[Fr.crossTileID]){te[Fr.crossTileID]=!0,Le.crossTileID=Fr.crossTileID;break}}}}};var $n=function(){this.maxCrossTileID=0};$n.prototype.generate=function(){return++this.maxCrossTileID};var zs=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};zs.prototype.handleWrapJump=function(Y){var ye=Math.round((Y-this.lng)/360);if(ye!==0)for(var te in this.indexes){var me=this.indexes[te],Ge={};for(var Le in me){var $e=me[Le];$e.tileID=$e.tileID.unwrapTo($e.tileID.wrap+ye),Ge[$e.tileID.key]=$e}this.indexes[te]=Ge}this.lng=Y},zs.prototype.addBucket=function(Y,ye,te){if(this.indexes[Y.overscaledZ]&&this.indexes[Y.overscaledZ][Y.key]){if(this.indexes[Y.overscaledZ][Y.key].bucketInstanceId===ye.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(Y.overscaledZ,this.indexes[Y.overscaledZ][Y.key])}for(var me=0;me<ye.symbolInstances.length;me++){var Ge=ye.symbolInstances.get(me);Ge.crossTileID=0}this.usedCrossTileIDs[Y.overscaledZ]||(this.usedCrossTileIDs[Y.overscaledZ]={});var Le=this.usedCrossTileIDs[Y.overscaledZ];for(var $e in this.indexes){var mt=this.indexes[$e];if(Number($e)>Y.overscaledZ)for(var jt in mt){var _r=mt[jt];_r.tileID.isChildOf(Y)&&_r.findMatches(ye.symbolInstances,Y,Le)}else{var Fr=Y.scaledTo(Number($e)),hr=mt[Fr.key];hr&&hr.findMatches(ye.symbolInstances,Y,Le)}}for(var gt=0;gt<ye.symbolInstances.length;gt++){var Et=ye.symbolInstances.get(gt);Et.crossTileID||(Et.crossTileID=te.generate(),Le[Et.crossTileID]=!0)}return this.indexes[Y.overscaledZ]===void 0&&(this.indexes[Y.overscaledZ]={}),this.indexes[Y.overscaledZ][Y.key]=new al(Y,ye.symbolInstances,ye.bucketInstanceId),!0},zs.prototype.removeBucketCrossTileIDs=function(Y,ye){for(var te in ye.indexedSymbolInstances)for(var me=0,Ge=ye.indexedSymbolInstances[te];me<Ge.length;me+=1){var Le=Ge[me];delete this.usedCrossTileIDs[Y][Le.crossTileID]}},zs.prototype.removeStaleBuckets=function(Y){var ye=!1;for(var te in this.indexes){var me=this.indexes[te];for(var Ge in me)Y[me[Ge].bucketInstanceId]||(this.removeBucketCrossTileIDs(te,me[Ge]),delete me[Ge],ye=!0)}return ye};var au=function(){this.layerIndexes={},this.crossTileIDs=new $n,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};au.prototype.addLayer=function(Y,ye,te){var me=this.layerIndexes[Y.id];me===void 0&&(me=this.layerIndexes[Y.id]=new zs);var Ge=!1,Le={};me.handleWrapJump(te);for(var $e=0,mt=ye;$e<mt.length;$e+=1){var jt=mt[$e],_r=jt.getBucket(Y);!_r||Y.id!==_r.layerIds[0]||(_r.bucketInstanceId||(_r.bucketInstanceId=++this.maxBucketInstanceId),me.addBucket(jt.tileID,_r,this.crossTileIDs)&&(Ge=!0),Le[_r.bucketInstanceId]=!0)}return me.removeStaleBuckets(Le)&&(Ge=!0),Ge},au.prototype.pruneUnusedLayers=function(Y){var ye={};Y.forEach(function(me){ye[me]=!0});for(var te in this.layerIndexes)ye[te]||delete this.layerIndexes[te]};var fl=function(ve,Y){return e.emitValidationErrors(ve,Y&&Y.filter(function(ye){return ye.identifier!==\"source.canvas\"}))},xu=e.pick(Kr,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),zl=e.pick(Kr,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ns=Gr(),iu=function(ve){function Y(ye,te){var me=this;te===void 0&&(te={}),ve.call(this),this.map=ye,this.dispatcher=new B(ct(),this),this.imageManager=new _,this.imageManager.setEventedParent(this),this.glyphManager=new m(ye._requestManager,te.localIdeographFontFamily),this.lineAtlas=new F(256,512),this.crossTileSymbolIndex=new au,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new e.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",e.getReferrer());var Ge=this;this._rtlTextPluginCallback=Y.registerForPluginStateChange(function(Le){var $e={pluginStatus:Le.pluginStatus,pluginURL:Le.pluginURL};Ge.dispatcher.broadcast(\"syncRTLPluginState\",$e,function(mt,jt){if(e.triggerPluginCompletionEvent(mt),jt){var _r=jt.every(function(hr){return hr});if(_r)for(var Fr in Ge.sourceCaches)Ge.sourceCaches[Fr].reload()}})}),this.on(\"data\",function(Le){if(!(Le.dataType!==\"source\"||Le.sourceDataType!==\"metadata\")){var $e=me.sourceCaches[Le.sourceId];if($e){var mt=$e.getSource();if(!(!mt||!mt.vectorLayerIds))for(var jt in me._layers){var _r=me._layers[jt];_r.source===mt.id&&me._validateLayer(_r)}}}})}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.loadURL=function(te,me){var Ge=this;me===void 0&&(me={}),this.fire(new e.Event(\"dataloading\",{dataType:\"style\"}));var Le=typeof me.validate==\"boolean\"?me.validate:!e.isMapboxURL(te);te=this.map._requestManager.normalizeStyleURL(te,me.accessToken);var $e=this.map._requestManager.transformRequest(te,e.ResourceType.Style);this._request=e.getJSON($e,function(mt,jt){Ge._request=null,mt?Ge.fire(new e.ErrorEvent(mt)):jt&&Ge._load(jt,Le)})},Y.prototype.loadJSON=function(te,me){var Ge=this;me===void 0&&(me={}),this.fire(new e.Event(\"dataloading\",{dataType:\"style\"})),this._request=e.browser.frame(function(){Ge._request=null,Ge._load(te,me.validate!==!1)})},Y.prototype.loadEmpty=function(){this.fire(new e.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ns,!1)},Y.prototype._load=function(te,me){if(!(me&&fl(this,e.validateStyle(te)))){this._loaded=!0,this.stylesheet=te;for(var Ge in te.sources)this.addSource(Ge,te.sources[Ge],{validate:!1});te.sprite?this._loadSprite(te.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(te.glyphs);var Le=Lr(this.stylesheet.layers);this._order=Le.map(function(_r){return _r.id}),this._layers={},this._serializedLayers={};for(var $e=0,mt=Le;$e<mt.length;$e+=1){var jt=mt[$e];jt=e.createStyleLayer(jt),jt.setEventedParent(this,{layer:{id:jt.id}}),this._layers[jt.id]=jt,this._serializedLayers[jt.id]=jt.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new z(this.stylesheet.light),this.fire(new e.Event(\"data\",{dataType:\"style\"})),this.fire(new e.Event(\"style.load\"))}},Y.prototype._loadSprite=function(te){var me=this;this._spriteRequest=v(te,this.map._requestManager,function(Ge,Le){if(me._spriteRequest=null,Ge)me.fire(new e.ErrorEvent(Ge));else if(Le)for(var $e in Le)me.imageManager.addImage($e,Le[$e]);me.imageManager.setLoaded(!0),me._availableImages=me.imageManager.listImages(),me.dispatcher.broadcast(\"setImages\",me._availableImages),me.fire(new e.Event(\"data\",{dataType:\"style\"}))})},Y.prototype._validateLayer=function(te){var me=this.sourceCaches[te.source];if(me){var Ge=te.sourceLayer;if(Ge){var Le=me.getSource();(Le.type===\"geojson\"||Le.vectorLayerIds&&Le.vectorLayerIds.indexOf(Ge)===-1)&&this.fire(new e.ErrorEvent(new Error('Source layer \"'+Ge+'\" does not exist on source \"'+Le.id+'\" as specified by style layer \"'+te.id+'\"')))}}},Y.prototype.loaded=function(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(var te in this.sourceCaches)if(!this.sourceCaches[te].loaded())return!1;return!!this.imageManager.isLoaded()},Y.prototype._serializeLayers=function(te){for(var me=[],Ge=0,Le=te;Ge<Le.length;Ge+=1){var $e=Le[Ge],mt=this._layers[$e];mt.type!==\"custom\"&&me.push(mt.serialize())}return me},Y.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var te in this.sourceCaches)if(this.sourceCaches[te].hasTransition())return!0;for(var me in this._layers)if(this._layers[me].hasTransition())return!0;return!1},Y.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},Y.prototype.update=function(te){if(this._loaded){var me=this._changed;if(this._changed){var Ge=Object.keys(this._updatedLayers),Le=Object.keys(this._removedLayers);(Ge.length||Le.length)&&this._updateWorkerLayers(Ge,Le);for(var $e in this._updatedSources){var mt=this._updatedSources[$e];mt===\"reload\"?this._reloadSource($e):mt===\"clear\"&&this._clearSource($e)}this._updateTilesForChangedImages();for(var jt in this._updatedPaintProps)this._layers[jt].updateTransitions(te);this.light.updateTransitions(te),this._resetUpdates()}var _r={};for(var Fr in this.sourceCaches){var hr=this.sourceCaches[Fr];_r[Fr]=hr.used,hr.used=!1}for(var gt=0,Et=this._order;gt<Et.length;gt+=1){var Ft=Et[gt],ir=this._layers[Ft];ir.recalculate(te,this._availableImages),!ir.isHidden(te.zoom)&&ir.source&&(this.sourceCaches[ir.source].used=!0)}for(var fr in _r){var sr=this.sourceCaches[fr];_r[fr]!==sr.used&&sr.fire(new e.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:fr}))}this.light.recalculate(te),this.z=te.zoom,me&&this.fire(new e.Event(\"data\",{dataType:\"style\"}))}},Y.prototype._updateTilesForChangedImages=function(){var te=Object.keys(this._changedImages);if(te.length){for(var me in this.sourceCaches)this.sourceCaches[me].reloadTilesForDependencies([\"icons\",\"patterns\"],te);this._changedImages={}}},Y.prototype._updateWorkerLayers=function(te,me){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(te),removedIds:me})},Y.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},Y.prototype.setState=function(te){var me=this;if(this._checkLoaded(),fl(this,e.validateStyle(te)))return!1;te=e.clone$1(te),te.layers=Lr(te.layers);var Ge=Fa(this.serialize(),te).filter(function($e){return!($e.command in zl)});if(Ge.length===0)return!1;var Le=Ge.filter(function($e){return!($e.command in xu)});if(Le.length>0)throw new Error(\"Unimplemented: \"+Le.map(function($e){return $e.command}).join(\", \")+\".\");return Ge.forEach(function($e){$e.command!==\"setTransition\"&&me[$e.command].apply(me,$e.args)}),this.stylesheet=te,!0},Y.prototype.addImage=function(te,me){if(this.getImage(te))return this.fire(new e.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(te,me),this._afterImageUpdated(te)},Y.prototype.updateImage=function(te,me){this.imageManager.updateImage(te,me)},Y.prototype.getImage=function(te){return this.imageManager.getImage(te)},Y.prototype.removeImage=function(te){if(!this.getImage(te))return this.fire(new e.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(te),this._afterImageUpdated(te)},Y.prototype._afterImageUpdated=function(te){this._availableImages=this.imageManager.listImages(),this._changedImages[te]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new e.Event(\"data\",{dataType:\"style\"}))},Y.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},Y.prototype.addSource=function(te,me,Ge){var Le=this;if(Ge===void 0&&(Ge={}),this._checkLoaded(),this.sourceCaches[te]!==void 0)throw new Error(\"There is already a source with this ID\");if(!me.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(me).join(\", \")+\".\");var $e=[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"],mt=$e.indexOf(me.type)>=0;if(!(mt&&this._validate(e.validateStyle.source,\"sources.\"+te,me,null,Ge))){this.map&&this.map._collectResourceTiming&&(me.collectResourceTiming=!0);var jt=this.sourceCaches[te]=new ma(te,me,this.dispatcher);jt.style=this,jt.setEventedParent(this,function(){return{isSourceLoaded:Le.loaded(),source:jt.serialize(),sourceId:te}}),jt.onAdd(this.map),this._changed=!0}},Y.prototype.removeSource=function(te){if(this._checkLoaded(),this.sourceCaches[te]===void 0)throw new Error(\"There is no source with this ID\");for(var me in this._layers)if(this._layers[me].source===te)return this.fire(new e.ErrorEvent(new Error('Source \"'+te+'\" cannot be removed while layer \"'+me+'\" is using it.')));var Ge=this.sourceCaches[te];delete this.sourceCaches[te],delete this._updatedSources[te],Ge.fire(new e.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:te})),Ge.setEventedParent(null),Ge.clearTiles(),Ge.onRemove&&Ge.onRemove(this.map),this._changed=!0},Y.prototype.setGeoJSONSourceData=function(te,me){this._checkLoaded();var Ge=this.sourceCaches[te].getSource();Ge.setData(me),this._changed=!0},Y.prototype.getSource=function(te){return this.sourceCaches[te]&&this.sourceCaches[te].getSource()},Y.prototype.addLayer=function(te,me,Ge){Ge===void 0&&(Ge={}),this._checkLoaded();var Le=te.id;if(this.getLayer(Le)){this.fire(new e.ErrorEvent(new Error('Layer with id \"'+Le+'\" already exists on this map')));return}var $e;if(te.type===\"custom\"){if(fl(this,e.validateCustomStyleLayer(te)))return;$e=e.createStyleLayer(te)}else{if(typeof te.source==\"object\"&&(this.addSource(Le,te.source),te=e.clone$1(te),te=e.extend(te,{source:Le})),this._validate(e.validateStyle.layer,\"layers.\"+Le,te,{arrayIndex:-1},Ge))return;$e=e.createStyleLayer(te),this._validateLayer($e),$e.setEventedParent(this,{layer:{id:Le}}),this._serializedLayers[$e.id]=$e.serialize()}var mt=me?this._order.indexOf(me):this._order.length;if(me&&mt===-1){this.fire(new e.ErrorEvent(new Error('Layer with id \"'+me+'\" does not exist on this map.')));return}if(this._order.splice(mt,0,Le),this._layerOrderChanged=!0,this._layers[Le]=$e,this._removedLayers[Le]&&$e.source&&$e.type!==\"custom\"){var jt=this._removedLayers[Le];delete this._removedLayers[Le],jt.type!==$e.type?this._updatedSources[$e.source]=\"clear\":(this._updatedSources[$e.source]=\"reload\",this.sourceCaches[$e.source].pause())}this._updateLayer($e),$e.onAdd&&$e.onAdd(this.map)},Y.prototype.moveLayer=function(te,me){this._checkLoaded(),this._changed=!0;var Ge=this._layers[te];if(!Ge){this.fire(new e.ErrorEvent(new Error(\"The layer '\"+te+\"' does not exist in the map's style and cannot be moved.\")));return}if(te!==me){var Le=this._order.indexOf(te);this._order.splice(Le,1);var $e=me?this._order.indexOf(me):this._order.length;if(me&&$e===-1){this.fire(new e.ErrorEvent(new Error('Layer with id \"'+me+'\" does not exist on this map.')));return}this._order.splice($e,0,te),this._layerOrderChanged=!0}},Y.prototype.removeLayer=function(te){this._checkLoaded();var me=this._layers[te];if(!me){this.fire(new e.ErrorEvent(new Error(\"The layer '\"+te+\"' does not exist in the map's style and cannot be removed.\")));return}me.setEventedParent(null);var Ge=this._order.indexOf(te);this._order.splice(Ge,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[te]=me,delete this._layers[te],delete this._serializedLayers[te],delete this._updatedLayers[te],delete this._updatedPaintProps[te],me.onRemove&&me.onRemove(this.map)},Y.prototype.getLayer=function(te){return this._layers[te]},Y.prototype.hasLayer=function(te){return te in this._layers},Y.prototype.setLayerZoomRange=function(te,me,Ge){this._checkLoaded();var Le=this.getLayer(te);if(!Le){this.fire(new e.ErrorEvent(new Error(\"The layer '\"+te+\"' does not exist in the map's style and cannot have zoom extent.\")));return}Le.minzoom===me&&Le.maxzoom===Ge||(me!=null&&(Le.minzoom=me),Ge!=null&&(Le.maxzoom=Ge),this._updateLayer(Le))},Y.prototype.setFilter=function(te,me,Ge){Ge===void 0&&(Ge={}),this._checkLoaded();var Le=this.getLayer(te);if(!Le){this.fire(new e.ErrorEvent(new Error(\"The layer '\"+te+\"' does not exist in the map's style and cannot be filtered.\")));return}if(!e.deepEqual(Le.filter,me)){if(me==null){Le.filter=void 0,this._updateLayer(Le);return}this._validate(e.validateStyle.filter,\"layers.\"+Le.id+\".filter\",me,null,Ge)||(Le.filter=e.clone$1(me),this._updateLayer(Le))}},Y.prototype.getFilter=function(te){return e.clone$1(this.getLayer(te).filter)},Y.prototype.setLayoutProperty=function(te,me,Ge,Le){Le===void 0&&(Le={}),this._checkLoaded();var $e=this.getLayer(te);if(!$e){this.fire(new e.ErrorEvent(new Error(\"The layer '\"+te+\"' does not exist in the map's style and cannot be styled.\")));return}e.deepEqual($e.getLayoutProperty(me),Ge)||($e.setLayoutProperty(me,Ge,Le),this._updateLayer($e))},Y.prototype.getLayoutProperty=function(te,me){var Ge=this.getLayer(te);if(!Ge){this.fire(new e.ErrorEvent(new Error(\"The layer '\"+te+\"' does not exist in the map's style.\")));return}return Ge.getLayoutProperty(me)},Y.prototype.setPaintProperty=function(te,me,Ge,Le){Le===void 0&&(Le={}),this._checkLoaded();var $e=this.getLayer(te);if(!$e){this.fire(new e.ErrorEvent(new Error(\"The layer '\"+te+\"' does not exist in the map's style and cannot be styled.\")));return}if(!e.deepEqual($e.getPaintProperty(me),Ge)){var mt=$e.setPaintProperty(me,Ge,Le);mt&&this._updateLayer($e),this._changed=!0,this._updatedPaintProps[te]=!0}},Y.prototype.getPaintProperty=function(te,me){return this.getLayer(te).getPaintProperty(me)},Y.prototype.setFeatureState=function(te,me){this._checkLoaded();var Ge=te.source,Le=te.sourceLayer,$e=this.sourceCaches[Ge];if($e===void 0){this.fire(new e.ErrorEvent(new Error(\"The source '\"+Ge+\"' does not exist in the map's style.\")));return}var mt=$e.getSource().type;if(mt===\"geojson\"&&Le){this.fire(new e.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\")));return}if(mt===\"vector\"&&!Le){this.fire(new e.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}te.id===void 0&&this.fire(new e.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),$e.setFeatureState(Le,te.id,me)},Y.prototype.removeFeatureState=function(te,me){this._checkLoaded();var Ge=te.source,Le=this.sourceCaches[Ge];if(Le===void 0){this.fire(new e.ErrorEvent(new Error(\"The source '\"+Ge+\"' does not exist in the map's style.\")));return}var $e=Le.getSource().type,mt=$e===\"vector\"?te.sourceLayer:void 0;if($e===\"vector\"&&!mt){this.fire(new e.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}if(me&&typeof te.id!=\"string\"&&typeof te.id!=\"number\"){this.fire(new e.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\")));return}Le.removeFeatureState(mt,te.id,me)},Y.prototype.getFeatureState=function(te){this._checkLoaded();var me=te.source,Ge=te.sourceLayer,Le=this.sourceCaches[me];if(Le===void 0){this.fire(new e.ErrorEvent(new Error(\"The source '\"+me+\"' does not exist in the map's style.\")));return}var $e=Le.getSource().type;if($e===\"vector\"&&!Ge){this.fire(new e.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}return te.id===void 0&&this.fire(new e.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),Le.getFeatureState(Ge,te.id)},Y.prototype.getTransition=function(){return e.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},Y.prototype.serialize=function(){return e.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:e.mapObject(this.sourceCaches,function(te){return te.serialize()}),layers:this._serializeLayers(this._order)},function(te){return te!==void 0})},Y.prototype._updateLayer=function(te){this._updatedLayers[te.id]=!0,te.source&&!this._updatedSources[te.source]&&this.sourceCaches[te.source].getSource().type!==\"raster\"&&(this._updatedSources[te.source]=\"reload\",this.sourceCaches[te.source].pause()),this._changed=!0},Y.prototype._flattenAndSortRenderedFeatures=function(te){for(var me=this,Ge=function(si){return me._layers[si].type===\"fill-extrusion\"},Le={},$e=[],mt=this._order.length-1;mt>=0;mt--){var jt=this._order[mt];if(Ge(jt)){Le[jt]=mt;for(var _r=0,Fr=te;_r<Fr.length;_r+=1){var hr=Fr[_r],gt=hr[jt];if(gt)for(var Et=0,Ft=gt;Et<Ft.length;Et+=1){var ir=Ft[Et];$e.push(ir)}}}}$e.sort(function(si,Ji){return Ji.intersectionZ-si.intersectionZ});for(var fr=[],sr=this._order.length-1;sr>=0;sr--){var pr=this._order[sr];if(Ge(pr))for(var lr=$e.length-1;lr>=0;lr--){var Xt=$e[lr].feature;if(Le[Xt.layer.id]<sr)break;fr.push(Xt),$e.pop()}else for(var or=0,qt=te;or<qt.length;or+=1){var Dr=qt[or],Jr=Dr[pr];if(Jr)for(var ba=0,yi=Jr;ba<yi.length;ba+=1){var Xa=yi[ba];fr.push(Xa.feature)}}}return fr},Y.prototype.queryRenderedFeatures=function(te,me,Ge){me&&me.filter&&this._validate(e.validateStyle.filter,\"queryRenderedFeatures.filter\",me.filter,null,me);var Le={};if(me&&me.layers){if(!Array.isArray(me.layers))return this.fire(new e.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var $e=0,mt=me.layers;$e<mt.length;$e+=1){var jt=mt[$e],_r=this._layers[jt];if(!_r)return this.fire(new e.ErrorEvent(new Error(\"The layer '\"+jt+\"' does not exist in the map's style and cannot be queried for features.\"))),[];Le[_r.source]=!0}}var Fr=[];me.availableImages=this._availableImages;for(var hr in this.sourceCaches)me.layers&&!Le[hr]||Fr.push(re(this.sourceCaches[hr],this._layers,this._serializedLayers,te,me,Ge));return this.placement&&Fr.push(ce(this._layers,this._serializedLayers,this.sourceCaches,te,me,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(Fr)},Y.prototype.querySourceFeatures=function(te,me){me&&me.filter&&this._validate(e.validateStyle.filter,\"querySourceFeatures.filter\",me.filter,null,me);var Ge=this.sourceCaches[te];return Ge?be(Ge,me):[]},Y.prototype.addSourceType=function(te,me,Ge){if(Y.getSourceType(te))return Ge(new Error('A source type called \"'+te+'\" already exists.'));if(Y.setSourceType(te,me),!me.workerSourceURL)return Ge(null,null);this.dispatcher.broadcast(\"loadWorkerSource\",{name:te,url:me.workerSourceURL},Ge)},Y.prototype.getLight=function(){return this.light.getLight()},Y.prototype.setLight=function(te,me){me===void 0&&(me={}),this._checkLoaded();var Ge=this.light.getLight(),Le=!1;for(var $e in te)if(!e.deepEqual(te[$e],Ge[$e])){Le=!0;break}if(Le){var mt={now:e.browser.now(),transition:e.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(te,me),this.light.updateTransitions(mt)}},Y.prototype._validate=function(te,me,Ge,Le,$e){return $e===void 0&&($e={}),$e&&$e.validate===!1?!1:fl(this,te.call(e.validateStyle,e.extend({key:me,style:this.serialize(),value:Ge,styleSpec:e.styleSpec},Le)))},Y.prototype._remove=function(){this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),e.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback);for(var te in this._layers){var me=this._layers[te];me.setEventedParent(null)}for(var Ge in this.sourceCaches)this.sourceCaches[Ge].clearTiles(),this.sourceCaches[Ge].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},Y.prototype._clearSource=function(te){this.sourceCaches[te].clearTiles()},Y.prototype._reloadSource=function(te){this.sourceCaches[te].resume(),this.sourceCaches[te].reload()},Y.prototype._updateSources=function(te){for(var me in this.sourceCaches)this.sourceCaches[me].update(te)},Y.prototype._generateCollisionBoxes=function(){for(var te in this.sourceCaches)this._reloadSource(te)},Y.prototype._updatePlacement=function(te,me,Ge,Le,$e){$e===void 0&&($e=!1);for(var mt=!1,jt=!1,_r={},Fr=0,hr=this._order;Fr<hr.length;Fr+=1){var gt=hr[Fr],Et=this._layers[gt];if(Et.type===\"symbol\"){if(!_r[Et.source]){var Ft=this.sourceCaches[Et.source];_r[Et.source]=Ft.getRenderableIds(!0).map(function(or){return Ft.getTileByID(or)}).sort(function(or,qt){return qt.tileID.overscaledZ-or.tileID.overscaledZ||(or.tileID.isLessThan(qt.tileID)?-1:1)})}var ir=this.crossTileSymbolIndex.addLayer(Et,_r[Et.source],te.center.lng);mt=mt||ir}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),$e=$e||this._layerOrderChanged||Ge===0,($e||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(e.browser.now(),te.zoom))&&(this.pauseablePlacement=new ro(te,this._order,$e,me,Ge,Le,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,_r),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(e.browser.now()),jt=!0),mt&&this.pauseablePlacement.placement.setStale()),jt||mt)for(var fr=0,sr=this._order;fr<sr.length;fr+=1){var pr=sr[fr],lr=this._layers[pr];lr.type===\"symbol\"&&this.placement.updateLayerOpacities(lr,_r[lr.source])}var Xt=!this.pauseablePlacement.isDone()||this.placement.hasTransitions(e.browser.now());return Xt},Y.prototype._releaseSymbolFadeTiles=function(){for(var te in this.sourceCaches)this.sourceCaches[te].releaseSymbolFadeTiles()},Y.prototype.getImages=function(te,me,Ge){this.imageManager.getImages(me.icons,Ge),this._updateTilesForChangedImages();var Le=this.sourceCaches[me.source];Le&&Le.setDependencies(me.tileID.key,me.type,me.icons)},Y.prototype.getGlyphs=function(te,me,Ge){this.glyphManager.getGlyphs(me.stacks,Ge)},Y.prototype.getResource=function(te,me,Ge){return e.makeRequest(me,Ge)},Y}(e.Evented);iu.getSourceType=oe,iu.setSourceType=ie,iu.registerForPluginStateChange=e.registerForPluginStateChange;var Eu=e.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Bc=`#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif`,Cu=`#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}`,Af=`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,pf=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",Us=`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Vc=\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\",Sf=`varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,nu=`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`,Ll=\"void main() {gl_FragColor=vec4(1.0);}\",ic=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",Ou=`uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,il=`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}`,vl=`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}`,gs=\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\",Vs=\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",nc=\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\",Nl=\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",qu=\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\",cl=\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",yh=\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\",ls=`#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,_h=`attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}`,Ss=`varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Qn=`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,Gc=`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Vu=`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,Ul=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Mf=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`,wc=`varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,rf=`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`,Kl=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Yf=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`,zf=`#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,af=\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\",Nc=`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Ff=\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\",Of=`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Gu=`\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,Ef=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,oc=`\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,Hc=`uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Jl=`\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`,Uc=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Tc=`\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`,Gs=`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Cf=\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\",lh=`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Bf=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}`,Wc=`#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Kf=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`,ku=`#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,Nf=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`,ml=hl(Bc,Cu),Lu=hl(Af,pf),Ac=hl(Us,Vc),nl=hl(Sf,nu),dc=hl(Ll,ic),vu=hl(Ou,il),bu=hl(vl,gs),Ml=hl(Vs,nc),Uf=hl(Nl,qu),Jf=hl(cl,yh),Bu=hl(ls,_h),Sc=hl(Ss,Qn),vc=hl(Gc,Vu),Lh=hl(Ul,Mf),nf=hl(wc,rf),df=hl(Kl,Yf),Nu=hl(zf,af),of=hl(Nc,Ff),tu=hl(Of,Gu),Xc=hl(Ef,oc),uh=hl(Hc,Jl),vf=hl(Uc,Tc),ol=hl(Gs,Cf),mu=hl(lh,Bf),Pu=hl(Wc,Kf),kf=hl(ku,Nf);function hl(ve,Y){var ye=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,te=Y.match(/attribute ([\\w]+) ([\\w]+)/g),me=ve.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),Ge=Y.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),Le=Ge?Ge.concat(me):me,$e={};return ve=ve.replace(ye,function(mt,jt,_r,Fr,hr){return $e[hr]=!0,jt===\"define\"?`\n#ifndef HAS_UNIFORM_u_`+hr+`\nvarying `+_r+\" \"+Fr+\" \"+hr+`;\n#else\nuniform `+_r+\" \"+Fr+\" u_\"+hr+`;\n#endif\n`:`\n#ifdef HAS_UNIFORM_u_`+hr+`\n    `+_r+\" \"+Fr+\" \"+hr+\" = u_\"+hr+`;\n#endif\n`}),Y=Y.replace(ye,function(mt,jt,_r,Fr,hr){var gt=Fr===\"float\"?\"vec2\":\"vec4\",Et=hr.match(/color/)?\"color\":gt;return $e[hr]?jt===\"define\"?`\n#ifndef HAS_UNIFORM_u_`+hr+`\nuniform lowp float u_`+hr+`_t;\nattribute `+_r+\" \"+gt+\" a_\"+hr+`;\nvarying `+_r+\" \"+Fr+\" \"+hr+`;\n#else\nuniform `+_r+\" \"+Fr+\" u_\"+hr+`;\n#endif\n`:Et===\"vec4\"?`\n#ifndef HAS_UNIFORM_u_`+hr+`\n    `+hr+\" = a_\"+hr+`;\n#else\n    `+_r+\" \"+Fr+\" \"+hr+\" = u_\"+hr+`;\n#endif\n`:`\n#ifndef HAS_UNIFORM_u_`+hr+`\n    `+hr+\" = unpack_mix_\"+Et+\"(a_\"+hr+\", u_\"+hr+`_t);\n#else\n    `+_r+\" \"+Fr+\" \"+hr+\" = u_\"+hr+`;\n#endif\n`:jt===\"define\"?`\n#ifndef HAS_UNIFORM_u_`+hr+`\nuniform lowp float u_`+hr+`_t;\nattribute `+_r+\" \"+gt+\" a_\"+hr+`;\n#else\nuniform `+_r+\" \"+Fr+\" u_\"+hr+`;\n#endif\n`:Et===\"vec4\"?`\n#ifndef HAS_UNIFORM_u_`+hr+`\n    `+_r+\" \"+Fr+\" \"+hr+\" = a_\"+hr+`;\n#else\n    `+_r+\" \"+Fr+\" \"+hr+\" = u_\"+hr+`;\n#endif\n`:`\n#ifndef HAS_UNIFORM_u_`+hr+`\n    `+_r+\" \"+Fr+\" \"+hr+\" = unpack_mix_\"+Et+\"(a_\"+hr+\", u_\"+hr+`_t);\n#else\n    `+_r+\" \"+Fr+\" \"+hr+\" = u_\"+hr+`;\n#endif\n`}),{fragmentSource:ve,vertexSource:Y,staticAttributes:te,staticUniforms:Le}}var sf=Object.freeze({__proto__:null,prelude:ml,background:Lu,backgroundPattern:Ac,circle:nl,clippingMask:dc,heatmap:vu,heatmapTexture:bu,collisionBox:Ml,collisionCircle:Uf,debug:Jf,fill:Bu,fillOutline:Sc,fillOutlinePattern:vc,fillPattern:Lh,fillExtrusion:nf,fillExtrusionPattern:df,hillshadePrepare:Nu,hillshade:of,line:tu,lineGradient:Xc,linePattern:uh,lineSDF:vf,raster:ol,symbolIcon:mu,symbolSDF:Pu,symbolTextAndIcon:kf}),Mc=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Mc.prototype.bind=function(Y,ye,te,me,Ge,Le,$e,mt){this.context=Y;for(var jt=this.boundPaintVertexBuffers.length!==me.length,_r=0;!jt&&_r<me.length;_r++)this.boundPaintVertexBuffers[_r]!==me[_r]&&(jt=!0);var Fr=!this.vao||this.boundProgram!==ye||this.boundLayoutVertexBuffer!==te||jt||this.boundIndexBuffer!==Ge||this.boundVertexOffset!==Le||this.boundDynamicVertexBuffer!==$e||this.boundDynamicVertexBuffer2!==mt;!Y.extVertexArrayObject||Fr?this.freshBind(ye,te,me,Ge,Le,$e,mt):(Y.bindVertexArrayOES.set(this.vao),$e&&$e.bind(),Ge&&Ge.dynamicDraw&&Ge.bind(),mt&&mt.bind())},Mc.prototype.freshBind=function(Y,ye,te,me,Ge,Le,$e){var mt,jt=Y.numAttributes,_r=this.context,Fr=_r.gl;if(_r.extVertexArrayObject)this.vao&&this.destroy(),this.vao=_r.extVertexArrayObject.createVertexArrayOES(),_r.bindVertexArrayOES.set(this.vao),mt=0,this.boundProgram=Y,this.boundLayoutVertexBuffer=ye,this.boundPaintVertexBuffers=te,this.boundIndexBuffer=me,this.boundVertexOffset=Ge,this.boundDynamicVertexBuffer=Le,this.boundDynamicVertexBuffer2=$e;else{mt=_r.currentNumAttributes||0;for(var hr=jt;hr<mt;hr++)Fr.disableVertexAttribArray(hr)}ye.enableAttributes(Fr,Y);for(var gt=0,Et=te;gt<Et.length;gt+=1){var Ft=Et[gt];Ft.enableAttributes(Fr,Y)}Le&&Le.enableAttributes(Fr,Y),$e&&$e.enableAttributes(Fr,Y),ye.bind(),ye.setVertexAttribPointers(Fr,Y,Ge);for(var ir=0,fr=te;ir<fr.length;ir+=1){var sr=fr[ir];sr.bind(),sr.setVertexAttribPointers(Fr,Y,Ge)}Le&&(Le.bind(),Le.setVertexAttribPointers(Fr,Y,Ge)),me&&me.bind(),$e&&($e.bind(),$e.setVertexAttribPointers(Fr,Y,Ge)),_r.currentNumAttributes=jt},Mc.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};function Hu(ve){for(var Y=[],ye=0;ye<ve.length;ye++)if(ve[ye]!==null){var te=ve[ye].split(\" \");Y.push(te.pop())}return Y}var mf=function(Y,ye,te,me,Ge,Le){var $e=Y.gl;this.program=$e.createProgram();for(var mt=Hu(te.staticAttributes),jt=me?me.getBinderAttributes():[],_r=mt.concat(jt),Fr=te.staticUniforms?Hu(te.staticUniforms):[],hr=me?me.getBinderUniforms():[],gt=Fr.concat(hr),Et=[],Ft=0,ir=gt;Ft<ir.length;Ft+=1){var fr=ir[Ft];Et.indexOf(fr)<0&&Et.push(fr)}var sr=me?me.defines():[];Le&&sr.push(\"#define OVERDRAW_INSPECTOR;\");var pr=sr.concat(ml.fragmentSource,te.fragmentSource).join(`\n`),lr=sr.concat(ml.vertexSource,te.vertexSource).join(`\n`),Xt=$e.createShader($e.FRAGMENT_SHADER);if($e.isContextLost()){this.failedToCreate=!0;return}$e.shaderSource(Xt,pr),$e.compileShader(Xt),$e.attachShader(this.program,Xt);var or=$e.createShader($e.VERTEX_SHADER);if($e.isContextLost()){this.failedToCreate=!0;return}$e.shaderSource(or,lr),$e.compileShader(or),$e.attachShader(this.program,or),this.attributes={};var qt={};this.numAttributes=_r.length;for(var Dr=0;Dr<this.numAttributes;Dr++)_r[Dr]&&($e.bindAttribLocation(this.program,Dr,_r[Dr]),this.attributes[_r[Dr]]=Dr);$e.linkProgram(this.program),$e.deleteShader(or),$e.deleteShader(Xt);for(var Jr=0;Jr<Et.length;Jr++){var ba=Et[Jr];if(ba&&!qt[ba]){var yi=$e.getUniformLocation(this.program,ba);yi&&(qt[ba]=yi)}}this.fixedUniforms=Ge(Y,qt),this.binderUniforms=me?me.getUniforms(Y,qt):[]};mf.prototype.draw=function(Y,ye,te,me,Ge,Le,$e,mt,jt,_r,Fr,hr,gt,Et,Ft,ir){var fr,sr=Y.gl;if(!this.failedToCreate){Y.program.set(this.program),Y.setDepthMode(te),Y.setStencilMode(me),Y.setColorMode(Ge),Y.setCullFace(Le);for(var pr in this.fixedUniforms)this.fixedUniforms[pr].set($e[pr]);Et&&Et.setUniforms(Y,this.binderUniforms,hr,{zoom:gt});for(var lr=(fr={},fr[sr.LINES]=2,fr[sr.TRIANGLES]=3,fr[sr.LINE_STRIP]=1,fr)[ye],Xt=0,or=Fr.get();Xt<or.length;Xt+=1){var qt=or[Xt],Dr=qt.vaos||(qt.vaos={}),Jr=Dr[mt]||(Dr[mt]=new Mc);Jr.bind(Y,this,jt,Et?Et.getPaintVertexBuffers():[],_r,qt.vertexOffset,Ft,ir),sr.drawElements(ye,qt.primitiveLength*lr,sr.UNSIGNED_SHORT,qt.primitiveOffset*lr*2)}}};function Wu(ve,Y,ye){var te=1/Vn(ye,1,Y.transform.tileZoom),me=Math.pow(2,ye.tileID.overscaledZ),Ge=ye.tileSize*Math.pow(2,Y.transform.tileZoom)/me,Le=Ge*(ye.tileID.canonical.x+ye.tileID.wrap*me),$e=Ge*ye.tileID.canonical.y;return{u_image:0,u_texsize:ye.imageAtlasTexture.size,u_scale:[te,ve.fromScale,ve.toScale],u_fade:ve.t,u_pixel_coord_upper:[Le>>16,$e>>16],u_pixel_coord_lower:[Le&65535,$e&65535]}}function Zc(ve,Y,ye,te){var me=ye.imageManager.getPattern(ve.from.toString()),Ge=ye.imageManager.getPattern(ve.to.toString()),Le=ye.imageManager.getPixelSize(),$e=Le.width,mt=Le.height,jt=Math.pow(2,te.tileID.overscaledZ),_r=te.tileSize*Math.pow(2,ye.transform.tileZoom)/jt,Fr=_r*(te.tileID.canonical.x+te.tileID.wrap*jt),hr=_r*te.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:me.tl,u_pattern_br_a:me.br,u_pattern_tl_b:Ge.tl,u_pattern_br_b:Ge.br,u_texsize:[$e,mt],u_mix:Y.t,u_pattern_size_a:me.displaySize,u_pattern_size_b:Ge.displaySize,u_scale_a:Y.fromScale,u_scale_b:Y.toScale,u_tile_units_to_pixels:1/Vn(te,1,ye.transform.tileZoom),u_pixel_coord_upper:[Fr>>16,hr>>16],u_pixel_coord_lower:[Fr&65535,hr&65535]}}var Lf=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_lightpos:new e.Uniform3f(ve,Y.u_lightpos),u_lightintensity:new e.Uniform1f(ve,Y.u_lightintensity),u_lightcolor:new e.Uniform3f(ve,Y.u_lightcolor),u_vertical_gradient:new e.Uniform1f(ve,Y.u_vertical_gradient),u_opacity:new e.Uniform1f(ve,Y.u_opacity)}},ru=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_lightpos:new e.Uniform3f(ve,Y.u_lightpos),u_lightintensity:new e.Uniform1f(ve,Y.u_lightintensity),u_lightcolor:new e.Uniform3f(ve,Y.u_lightcolor),u_vertical_gradient:new e.Uniform1f(ve,Y.u_vertical_gradient),u_height_factor:new e.Uniform1f(ve,Y.u_height_factor),u_image:new e.Uniform1i(ve,Y.u_image),u_texsize:new e.Uniform2f(ve,Y.u_texsize),u_pixel_coord_upper:new e.Uniform2f(ve,Y.u_pixel_coord_upper),u_pixel_coord_lower:new e.Uniform2f(ve,Y.u_pixel_coord_lower),u_scale:new e.Uniform3f(ve,Y.u_scale),u_fade:new e.Uniform1f(ve,Y.u_fade),u_opacity:new e.Uniform1f(ve,Y.u_opacity)}},jf=function(ve,Y,ye,te){var me=Y.style.light,Ge=me.properties.get(\"position\"),Le=[Ge.x,Ge.y,Ge.z],$e=e.create$1();me.properties.get(\"anchor\")===\"viewport\"&&e.fromRotation($e,-Y.transform.angle),e.transformMat3(Le,Le,$e);var mt=me.properties.get(\"color\");return{u_matrix:ve,u_lightpos:Le,u_lightintensity:me.properties.get(\"intensity\"),u_lightcolor:[mt.r,mt.g,mt.b],u_vertical_gradient:+ye,u_opacity:te}},Xu=function(ve,Y,ye,te,me,Ge,Le){return e.extend(jf(ve,Y,ye,te),Wu(Ge,Y,Le),{u_height_factor:-Math.pow(2,me.overscaledZ)/Le.tileSize/8})},Ec=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix)}},mc=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_image:new e.Uniform1i(ve,Y.u_image),u_texsize:new e.Uniform2f(ve,Y.u_texsize),u_pixel_coord_upper:new e.Uniform2f(ve,Y.u_pixel_coord_upper),u_pixel_coord_lower:new e.Uniform2f(ve,Y.u_pixel_coord_lower),u_scale:new e.Uniform3f(ve,Y.u_scale),u_fade:new e.Uniform1f(ve,Y.u_fade)}},jl=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_world:new e.Uniform2f(ve,Y.u_world)}},gu=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_world:new e.Uniform2f(ve,Y.u_world),u_image:new e.Uniform1i(ve,Y.u_image),u_texsize:new e.Uniform2f(ve,Y.u_texsize),u_pixel_coord_upper:new e.Uniform2f(ve,Y.u_pixel_coord_upper),u_pixel_coord_lower:new e.Uniform2f(ve,Y.u_pixel_coord_lower),u_scale:new e.Uniform3f(ve,Y.u_scale),u_fade:new e.Uniform1f(ve,Y.u_fade)}},Cc=function(ve){return{u_matrix:ve}},Yc=function(ve,Y,ye,te){return e.extend(Cc(ve),Wu(ye,Y,te))},sc=function(ve,Y){return{u_matrix:ve,u_world:Y}},kc=function(ve,Y,ye,te,me){return e.extend(Yc(ve,Y,ye,te),{u_world:me})},er=function(ve,Y){return{u_camera_to_center_distance:new e.Uniform1f(ve,Y.u_camera_to_center_distance),u_scale_with_map:new e.Uniform1i(ve,Y.u_scale_with_map),u_pitch_with_map:new e.Uniform1i(ve,Y.u_pitch_with_map),u_extrude_scale:new e.Uniform2f(ve,Y.u_extrude_scale),u_device_pixel_ratio:new e.Uniform1f(ve,Y.u_device_pixel_ratio),u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix)}},yr=function(ve,Y,ye,te){var me=ve.transform,Ge,Le;if(te.paint.get(\"circle-pitch-alignment\")===\"map\"){var $e=Vn(ye,1,me.zoom);Ge=!0,Le=[$e,$e]}else Ge=!1,Le=me.pixelsToGLUnits;return{u_camera_to_center_distance:me.cameraToCenterDistance,u_scale_with_map:+(te.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:ve.translatePosMatrix(Y.posMatrix,ye,te.paint.get(\"circle-translate\"),te.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+Ge,u_device_pixel_ratio:e.browser.devicePixelRatio,u_extrude_scale:Le}},na=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_camera_to_center_distance:new e.Uniform1f(ve,Y.u_camera_to_center_distance),u_pixels_to_tile_units:new e.Uniform1f(ve,Y.u_pixels_to_tile_units),u_extrude_scale:new e.Uniform2f(ve,Y.u_extrude_scale),u_overscale_factor:new e.Uniform1f(ve,Y.u_overscale_factor)}},$r=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_inv_matrix:new e.UniformMatrix4f(ve,Y.u_inv_matrix),u_camera_to_center_distance:new e.Uniform1f(ve,Y.u_camera_to_center_distance),u_viewport_size:new e.Uniform2f(ve,Y.u_viewport_size)}},La=function(ve,Y,ye){var te=Vn(ye,1,Y.zoom),me=Math.pow(2,Y.zoom-ye.tileID.overscaledZ),Ge=ye.tileID.overscaleFactor();return{u_matrix:ve,u_camera_to_center_distance:Y.cameraToCenterDistance,u_pixels_to_tile_units:te,u_extrude_scale:[Y.pixelsToGLUnits[0]/(te*me),Y.pixelsToGLUnits[1]/(te*me)],u_overscale_factor:Ge}},hi=function(ve,Y,ye){return{u_matrix:ve,u_inv_matrix:Y,u_camera_to_center_distance:ye.cameraToCenterDistance,u_viewport_size:[ye.width,ye.height]}},Pi=function(ve,Y){return{u_color:new e.UniformColor(ve,Y.u_color),u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_overlay:new e.Uniform1i(ve,Y.u_overlay),u_overlay_scale:new e.Uniform1f(ve,Y.u_overlay_scale)}},Zi=function(ve,Y,ye){return ye===void 0&&(ye=1),{u_matrix:ve,u_color:Y,u_overlay:0,u_overlay_scale:ye}},tn=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix)}},dn=function(ve){return{u_matrix:ve}},Ri=function(ve,Y){return{u_extrude_scale:new e.Uniform1f(ve,Y.u_extrude_scale),u_intensity:new e.Uniform1f(ve,Y.u_intensity),u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix)}},Fi=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_world:new e.Uniform2f(ve,Y.u_world),u_image:new e.Uniform1i(ve,Y.u_image),u_color_ramp:new e.Uniform1i(ve,Y.u_color_ramp),u_opacity:new e.Uniform1f(ve,Y.u_opacity)}},qi=function(ve,Y,ye,te){return{u_matrix:ve,u_extrude_scale:Vn(Y,1,ye),u_intensity:te}},_i=function(ve,Y,ye,te){var me=e.create();e.ortho(me,0,ve.width,ve.height,0,0,1);var Ge=ve.context.gl;return{u_matrix:me,u_world:[Ge.drawingBufferWidth,Ge.drawingBufferHeight],u_image:ye,u_color_ramp:te,u_opacity:Y.paint.get(\"heatmap-opacity\")}},Mn=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_image:new e.Uniform1i(ve,Y.u_image),u_latrange:new e.Uniform2f(ve,Y.u_latrange),u_light:new e.Uniform2f(ve,Y.u_light),u_shadow:new e.UniformColor(ve,Y.u_shadow),u_highlight:new e.UniformColor(ve,Y.u_highlight),u_accent:new e.UniformColor(ve,Y.u_accent)}},Kn=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_image:new e.Uniform1i(ve,Y.u_image),u_dimension:new e.Uniform2f(ve,Y.u_dimension),u_zoom:new e.Uniform1f(ve,Y.u_zoom),u_unpack:new e.Uniform4f(ve,Y.u_unpack)}},ao=function(ve,Y,ye){var te=ye.paint.get(\"hillshade-shadow-color\"),me=ye.paint.get(\"hillshade-highlight-color\"),Ge=ye.paint.get(\"hillshade-accent-color\"),Le=ye.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);ye.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(Le-=ve.transform.angle);var $e=!ve.options.moving;return{u_matrix:ve.transform.calculatePosMatrix(Y.tileID.toUnwrapped(),$e),u_image:0,u_latrange:co(ve,Y.tileID),u_light:[ye.paint.get(\"hillshade-exaggeration\"),Le],u_shadow:te,u_highlight:me,u_accent:Ge}},Jn=function(ve,Y){var ye=Y.stride,te=e.create();return e.ortho(te,0,e.EXTENT,-e.EXTENT,0,0,1),e.translate(te,te,[0,-e.EXTENT,0]),{u_matrix:te,u_image:1,u_dimension:[ye,ye],u_zoom:ve.overscaledZ,u_unpack:Y.getUnpackVector()}};function co(ve,Y){var ye=Math.pow(2,Y.canonical.z),te=Y.canonical.y;return[new e.MercatorCoordinate(0,te/ye).toLngLat().lat,new e.MercatorCoordinate(0,(te+1)/ye).toLngLat().lat]}var wn=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_ratio:new e.Uniform1f(ve,Y.u_ratio),u_device_pixel_ratio:new e.Uniform1f(ve,Y.u_device_pixel_ratio),u_units_to_pixels:new e.Uniform2f(ve,Y.u_units_to_pixels)}},un=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_ratio:new e.Uniform1f(ve,Y.u_ratio),u_device_pixel_ratio:new e.Uniform1f(ve,Y.u_device_pixel_ratio),u_units_to_pixels:new e.Uniform2f(ve,Y.u_units_to_pixels),u_image:new e.Uniform1i(ve,Y.u_image),u_image_height:new e.Uniform1f(ve,Y.u_image_height)}},_o=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_texsize:new e.Uniform2f(ve,Y.u_texsize),u_ratio:new e.Uniform1f(ve,Y.u_ratio),u_device_pixel_ratio:new e.Uniform1f(ve,Y.u_device_pixel_ratio),u_image:new e.Uniform1i(ve,Y.u_image),u_units_to_pixels:new e.Uniform2f(ve,Y.u_units_to_pixels),u_scale:new e.Uniform3f(ve,Y.u_scale),u_fade:new e.Uniform1f(ve,Y.u_fade)}},Qo=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_ratio:new e.Uniform1f(ve,Y.u_ratio),u_device_pixel_ratio:new e.Uniform1f(ve,Y.u_device_pixel_ratio),u_units_to_pixels:new e.Uniform2f(ve,Y.u_units_to_pixels),u_patternscale_a:new e.Uniform2f(ve,Y.u_patternscale_a),u_patternscale_b:new e.Uniform2f(ve,Y.u_patternscale_b),u_sdfgamma:new e.Uniform1f(ve,Y.u_sdfgamma),u_image:new e.Uniform1i(ve,Y.u_image),u_tex_y_a:new e.Uniform1f(ve,Y.u_tex_y_a),u_tex_y_b:new e.Uniform1f(ve,Y.u_tex_y_b),u_mix:new e.Uniform1f(ve,Y.u_mix)}},xs=function(ve,Y,ye){var te=ve.transform;return{u_matrix:Fl(ve,Y,ye),u_ratio:1/Vn(Y,1,te.zoom),u_device_pixel_ratio:e.browser.devicePixelRatio,u_units_to_pixels:[1/te.pixelsToGLUnits[0],1/te.pixelsToGLUnits[1]]}},Qs=function(ve,Y,ye,te){return e.extend(xs(ve,Y,ye),{u_image:0,u_image_height:te})},Rs=function(ve,Y,ye,te){var me=ve.transform,Ge=ys(Y,me);return{u_matrix:Fl(ve,Y,ye),u_texsize:Y.imageAtlasTexture.size,u_ratio:1/Vn(Y,1,me.zoom),u_device_pixel_ratio:e.browser.devicePixelRatio,u_image:0,u_scale:[Ge,te.fromScale,te.toScale],u_fade:te.t,u_units_to_pixels:[1/me.pixelsToGLUnits[0],1/me.pixelsToGLUnits[1]]}},Ks=function(ve,Y,ye,te,me){var Ge=ve.transform,Le=ve.lineAtlas,$e=ys(Y,Ge),mt=ye.layout.get(\"line-cap\")===\"round\",jt=Le.getDash(te.from,mt),_r=Le.getDash(te.to,mt),Fr=jt.width*me.fromScale,hr=_r.width*me.toScale;return e.extend(xs(ve,Y,ye),{u_patternscale_a:[$e/Fr,-jt.height/2],u_patternscale_b:[$e/hr,-_r.height/2],u_sdfgamma:Le.width/(Math.min(Fr,hr)*256*e.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:jt.y,u_tex_y_b:_r.y,u_mix:me.t})};function ys(ve,Y){return 1/Vn(ve,1,Y.tileZoom)}function Fl(ve,Y,ye){return ve.translatePosMatrix(Y.tileID.posMatrix,Y,ye.paint.get(\"line-translate\"),ye.paint.get(\"line-translate-anchor\"))}var yl=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_tl_parent:new e.Uniform2f(ve,Y.u_tl_parent),u_scale_parent:new e.Uniform1f(ve,Y.u_scale_parent),u_buffer_scale:new e.Uniform1f(ve,Y.u_buffer_scale),u_fade_t:new e.Uniform1f(ve,Y.u_fade_t),u_opacity:new e.Uniform1f(ve,Y.u_opacity),u_image0:new e.Uniform1i(ve,Y.u_image0),u_image1:new e.Uniform1i(ve,Y.u_image1),u_brightness_low:new e.Uniform1f(ve,Y.u_brightness_low),u_brightness_high:new e.Uniform1f(ve,Y.u_brightness_high),u_saturation_factor:new e.Uniform1f(ve,Y.u_saturation_factor),u_contrast_factor:new e.Uniform1f(ve,Y.u_contrast_factor),u_spin_weights:new e.Uniform3f(ve,Y.u_spin_weights)}},sl=function(ve,Y,ye,te,me){return{u_matrix:ve,u_tl_parent:Y,u_scale_parent:ye,u_buffer_scale:1,u_fade_t:te.mix,u_opacity:te.opacity*me.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:me.paint.get(\"raster-brightness-min\"),u_brightness_high:me.paint.get(\"raster-brightness-max\"),u_saturation_factor:Xs(me.paint.get(\"raster-saturation\")),u_contrast_factor:Io(me.paint.get(\"raster-contrast\")),u_spin_weights:Un(me.paint.get(\"raster-hue-rotate\"))}};function Un(ve){ve*=Math.PI/180;var Y=Math.sin(ve),ye=Math.cos(ve);return[(2*ye+1)/3,(-Math.sqrt(3)*Y-ye+1)/3,(Math.sqrt(3)*Y-ye+1)/3]}function Io(ve){return ve>0?1/(1-ve):1+ve}function Xs(ve){return ve>0?1-1/(1.001-ve):-ve}var Ls=function(ve,Y){return{u_is_size_zoom_constant:new e.Uniform1i(ve,Y.u_is_size_zoom_constant),u_is_size_feature_constant:new e.Uniform1i(ve,Y.u_is_size_feature_constant),u_size_t:new e.Uniform1f(ve,Y.u_size_t),u_size:new e.Uniform1f(ve,Y.u_size),u_camera_to_center_distance:new e.Uniform1f(ve,Y.u_camera_to_center_distance),u_pitch:new e.Uniform1f(ve,Y.u_pitch),u_rotate_symbol:new e.Uniform1i(ve,Y.u_rotate_symbol),u_aspect_ratio:new e.Uniform1f(ve,Y.u_aspect_ratio),u_fade_change:new e.Uniform1f(ve,Y.u_fade_change),u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_label_plane_matrix:new e.UniformMatrix4f(ve,Y.u_label_plane_matrix),u_coord_matrix:new e.UniformMatrix4f(ve,Y.u_coord_matrix),u_is_text:new e.Uniform1i(ve,Y.u_is_text),u_pitch_with_map:new e.Uniform1i(ve,Y.u_pitch_with_map),u_texsize:new e.Uniform2f(ve,Y.u_texsize),u_texture:new e.Uniform1i(ve,Y.u_texture)}},ou=function(ve,Y){return{u_is_size_zoom_constant:new e.Uniform1i(ve,Y.u_is_size_zoom_constant),u_is_size_feature_constant:new e.Uniform1i(ve,Y.u_is_size_feature_constant),u_size_t:new e.Uniform1f(ve,Y.u_size_t),u_size:new e.Uniform1f(ve,Y.u_size),u_camera_to_center_distance:new e.Uniform1f(ve,Y.u_camera_to_center_distance),u_pitch:new e.Uniform1f(ve,Y.u_pitch),u_rotate_symbol:new e.Uniform1i(ve,Y.u_rotate_symbol),u_aspect_ratio:new e.Uniform1f(ve,Y.u_aspect_ratio),u_fade_change:new e.Uniform1f(ve,Y.u_fade_change),u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_label_plane_matrix:new e.UniformMatrix4f(ve,Y.u_label_plane_matrix),u_coord_matrix:new e.UniformMatrix4f(ve,Y.u_coord_matrix),u_is_text:new e.Uniform1i(ve,Y.u_is_text),u_pitch_with_map:new e.Uniform1i(ve,Y.u_pitch_with_map),u_texsize:new e.Uniform2f(ve,Y.u_texsize),u_texture:new e.Uniform1i(ve,Y.u_texture),u_gamma_scale:new e.Uniform1f(ve,Y.u_gamma_scale),u_device_pixel_ratio:new e.Uniform1f(ve,Y.u_device_pixel_ratio),u_is_halo:new e.Uniform1i(ve,Y.u_is_halo)}},Iu=function(ve,Y){return{u_is_size_zoom_constant:new e.Uniform1i(ve,Y.u_is_size_zoom_constant),u_is_size_feature_constant:new e.Uniform1i(ve,Y.u_is_size_feature_constant),u_size_t:new e.Uniform1f(ve,Y.u_size_t),u_size:new e.Uniform1f(ve,Y.u_size),u_camera_to_center_distance:new e.Uniform1f(ve,Y.u_camera_to_center_distance),u_pitch:new e.Uniform1f(ve,Y.u_pitch),u_rotate_symbol:new e.Uniform1i(ve,Y.u_rotate_symbol),u_aspect_ratio:new e.Uniform1f(ve,Y.u_aspect_ratio),u_fade_change:new e.Uniform1f(ve,Y.u_fade_change),u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_label_plane_matrix:new e.UniformMatrix4f(ve,Y.u_label_plane_matrix),u_coord_matrix:new e.UniformMatrix4f(ve,Y.u_coord_matrix),u_is_text:new e.Uniform1i(ve,Y.u_is_text),u_pitch_with_map:new e.Uniform1i(ve,Y.u_pitch_with_map),u_texsize:new e.Uniform2f(ve,Y.u_texsize),u_texsize_icon:new e.Uniform2f(ve,Y.u_texsize_icon),u_texture:new e.Uniform1i(ve,Y.u_texture),u_texture_icon:new e.Uniform1i(ve,Y.u_texture_icon),u_gamma_scale:new e.Uniform1f(ve,Y.u_gamma_scale),u_device_pixel_ratio:new e.Uniform1f(ve,Y.u_device_pixel_ratio),u_is_halo:new e.Uniform1i(ve,Y.u_is_halo)}},Zu=function(ve,Y,ye,te,me,Ge,Le,$e,mt,jt){var _r=me.transform;return{u_is_size_zoom_constant:+(ve===\"constant\"||ve===\"source\"),u_is_size_feature_constant:+(ve===\"constant\"||ve===\"camera\"),u_size_t:Y?Y.uSizeT:0,u_size:Y?Y.uSize:0,u_camera_to_center_distance:_r.cameraToCenterDistance,u_pitch:_r.pitch/360*2*Math.PI,u_rotate_symbol:+ye,u_aspect_ratio:_r.width/_r.height,u_fade_change:me.options.fadeDuration?me.symbolFadeChange:1,u_matrix:Ge,u_label_plane_matrix:Le,u_coord_matrix:$e,u_is_text:+mt,u_pitch_with_map:+te,u_texsize:jt,u_texture:0}},Lc=function(ve,Y,ye,te,me,Ge,Le,$e,mt,jt,_r){var Fr=me.transform;return e.extend(Zu(ve,Y,ye,te,me,Ge,Le,$e,mt,jt),{u_gamma_scale:te?Math.cos(Fr._pitch)*Fr.cameraToCenterDistance:1,u_device_pixel_ratio:e.browser.devicePixelRatio,u_is_halo:+_r})},yu=function(ve,Y,ye,te,me,Ge,Le,$e,mt,jt){return e.extend(Lc(ve,Y,ye,te,me,Ge,Le,$e,!0,mt,!0),{u_texsize_icon:jt,u_texture_icon:1})},Pc=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_opacity:new e.Uniform1f(ve,Y.u_opacity),u_color:new e.UniformColor(ve,Y.u_color)}},wu=function(ve,Y){return{u_matrix:new e.UniformMatrix4f(ve,Y.u_matrix),u_opacity:new e.Uniform1f(ve,Y.u_opacity),u_image:new e.Uniform1i(ve,Y.u_image),u_pattern_tl_a:new e.Uniform2f(ve,Y.u_pattern_tl_a),u_pattern_br_a:new e.Uniform2f(ve,Y.u_pattern_br_a),u_pattern_tl_b:new e.Uniform2f(ve,Y.u_pattern_tl_b),u_pattern_br_b:new e.Uniform2f(ve,Y.u_pattern_br_b),u_texsize:new e.Uniform2f(ve,Y.u_texsize),u_mix:new e.Uniform1f(ve,Y.u_mix),u_pattern_size_a:new e.Uniform2f(ve,Y.u_pattern_size_a),u_pattern_size_b:new e.Uniform2f(ve,Y.u_pattern_size_b),u_scale_a:new e.Uniform1f(ve,Y.u_scale_a),u_scale_b:new e.Uniform1f(ve,Y.u_scale_b),u_pixel_coord_upper:new e.Uniform2f(ve,Y.u_pixel_coord_upper),u_pixel_coord_lower:new e.Uniform2f(ve,Y.u_pixel_coord_lower),u_tile_units_to_pixels:new e.Uniform1f(ve,Y.u_tile_units_to_pixels)}},gc=function(ve,Y,ye){return{u_matrix:ve,u_opacity:Y,u_color:ye}},fo=function(ve,Y,ye,te,me,Ge){return e.extend(Zc(te,Ge,ye,me),{u_matrix:ve,u_opacity:Y})},zo={fillExtrusion:Lf,fillExtrusionPattern:ru,fill:Ec,fillPattern:mc,fillOutline:jl,fillOutlinePattern:gu,circle:er,collisionBox:na,collisionCircle:$r,debug:Pi,clippingMask:tn,heatmap:Ri,heatmapTexture:Fi,hillshade:Mn,hillshadePrepare:Kn,line:wn,lineGradient:un,linePattern:_o,lineSDF:Qo,raster:yl,symbolIcon:Ls,symbolSDF:ou,symbolTextAndIcon:Iu,background:Pc,backgroundPattern:wu},Ic;function lc(ve,Y,ye,te,me,Ge,Le){for(var $e=ve.context,mt=$e.gl,jt=ve.useProgram(\"collisionBox\"),_r=[],Fr=0,hr=0,gt=0;gt<te.length;gt++){var Et=te[gt],Ft=Y.getTile(Et),ir=Ft.getBucket(ye);if(ir){var fr=Et.posMatrix;(me[0]!==0||me[1]!==0)&&(fr=ve.translatePosMatrix(Et.posMatrix,Ft,me,Ge));var sr=Le?ir.textCollisionBox:ir.iconCollisionBox,pr=ir.collisionCircleArray;if(pr.length>0){var lr=e.create(),Xt=fr;e.mul(lr,ir.placementInvProjMatrix,ve.transform.glCoordMatrix),e.mul(lr,lr,ir.placementViewportMatrix),_r.push({circleArray:pr,circleOffset:hr,transform:Xt,invTransform:lr}),Fr+=pr.length/4,hr=Fr}sr&&jt.draw($e,mt.LINES,Ba.disabled,za.disabled,ve.colorModeForRenderPass(),Pr.disabled,La(fr,ve.transform,Ft),ye.id,sr.layoutVertexBuffer,sr.indexBuffer,sr.segments,null,ve.transform.zoom,null,null,sr.collisionVertexBuffer)}}if(!(!Le||!_r.length)){var or=ve.useProgram(\"collisionCircle\"),qt=new e.StructArrayLayout2f1f2i16;qt.resize(Fr*4),qt._trim();for(var Dr=0,Jr=0,ba=_r;Jr<ba.length;Jr+=1)for(var yi=ba[Jr],Xa=0;Xa<yi.circleArray.length/4;Xa++){var si=Xa*4,Ji=yi.circleArray[si+0],Bi=yi.circleArray[si+1],pi=yi.circleArray[si+2],wi=yi.circleArray[si+3];qt.emplace(Dr++,Ji,Bi,pi,wi,0),qt.emplace(Dr++,Ji,Bi,pi,wi,1),qt.emplace(Dr++,Ji,Bi,pi,wi,2),qt.emplace(Dr++,Ji,Bi,pi,wi,3)}(!Ic||Ic.length<Fr*2)&&(Ic=Yu(Fr));for(var Mi=$e.createIndexBuffer(Ic,!0),Vi=$e.createVertexBuffer(qt,e.collisionCircleLayout.members,!0),cn=0,xo=_r;cn<xo.length;cn+=1){var jo=xo[cn],ks=hi(jo.transform,jo.invTransform,ve.transform);or.draw($e,mt.TRIANGLES,Ba.disabled,za.disabled,ve.colorModeForRenderPass(),Pr.disabled,ks,ye.id,Vi,Mi,e.SegmentVector.simpleSegment(0,jo.circleOffset*2,jo.circleArray.length,jo.circleArray.length/2),null,ve.transform.zoom,null,null,null)}Vi.destroy(),Mi.destroy()}}function Yu(ve){var Y=ve*2,ye=new e.StructArrayLayout3ui6;ye.resize(Y),ye._trim();for(var te=0;te<Y;te++){var me=te*6;ye.uint16[me+0]=te*4+0,ye.uint16[me+1]=te*4+1,ye.uint16[me+2]=te*4+2,ye.uint16[me+3]=te*4+2,ye.uint16[me+4]=te*4+3,ye.uint16[me+5]=te*4+0}return ye}var Ne=e.identity(new Float32Array(16));function R(ve,Y,ye,te,me){if(ve.renderPass===\"translucent\"){var Ge=za.disabled,Le=ve.colorModeForRenderPass(),$e=ye.layout.get(\"text-variable-anchor\");$e&&we(te,ve,ye,Y,ye.layout.get(\"text-rotation-alignment\"),ye.layout.get(\"text-pitch-alignment\"),me),ye.paint.get(\"icon-opacity\").constantOr(1)!==0&&pt(ve,Y,ye,te,!1,ye.paint.get(\"icon-translate\"),ye.paint.get(\"icon-translate-anchor\"),ye.layout.get(\"icon-rotation-alignment\"),ye.layout.get(\"icon-pitch-alignment\"),ye.layout.get(\"icon-keep-upright\"),Ge,Le),ye.paint.get(\"text-opacity\").constantOr(1)!==0&&pt(ve,Y,ye,te,!0,ye.paint.get(\"text-translate\"),ye.paint.get(\"text-translate-anchor\"),ye.layout.get(\"text-rotation-alignment\"),ye.layout.get(\"text-pitch-alignment\"),ye.layout.get(\"text-keep-upright\"),Ge,Le),Y.map.showCollisionBoxes&&(lc(ve,Y,ye,te,ye.paint.get(\"text-translate\"),ye.paint.get(\"text-translate-anchor\"),!0),lc(ve,Y,ye,te,ye.paint.get(\"icon-translate\"),ye.paint.get(\"icon-translate-anchor\"),!1))}}function ae(ve,Y,ye,te,me,Ge){var Le=e.getAnchorAlignment(ve),$e=Le.horizontalAlign,mt=Le.verticalAlign,jt=-($e-.5)*Y,_r=-(mt-.5)*ye,Fr=e.evaluateVariableOffset(ve,te);return new e.Point((jt/me+Fr[0])*Ge,(_r/me+Fr[1])*Ge)}function we(ve,Y,ye,te,me,Ge,Le){for(var $e=Y.transform,mt=me===\"map\",jt=Ge===\"map\",_r=0,Fr=ve;_r<Fr.length;_r+=1){var hr=Fr[_r],gt=te.getTile(hr),Et=gt.getBucket(ye);if(!(!Et||!Et.text||!Et.text.segments.get().length)){var Ft=Et.textSizeData,ir=e.evaluateSizeForZoom(Ft,$e.zoom),fr=Vn(gt,1,Y.transform.zoom),sr=Da(hr.posMatrix,jt,mt,Y.transform,fr),pr=ye.layout.get(\"icon-text-fit\")!==\"none\"&&Et.hasIconData();if(ir){var lr=Math.pow(2,$e.zoom-gt.tileID.overscaledZ);Se(Et,mt,jt,Le,e.symbolSize,$e,sr,hr.posMatrix,lr,ir,pr)}}}}function Se(ve,Y,ye,te,me,Ge,Le,$e,mt,jt,_r){var Fr=ve.text.placedSymbolArray,hr=ve.text.dynamicLayoutVertexArray,gt=ve.icon.dynamicLayoutVertexArray,Et={};hr.clear();for(var Ft=0;Ft<Fr.length;Ft++){var ir=Fr.get(Ft),fr=ve.allowVerticalPlacement&&!ir.placedOrientation,sr=!ir.hidden&&ir.crossTileID&&!fr?te[ir.crossTileID]:null;if(!sr)Xo(ir.numGlyphs,hr);else{var pr=new e.Point(ir.anchorX,ir.anchorY),lr=Li(pr,ye?$e:Le),Xt=fn(Ge.cameraToCenterDistance,lr.signedDistanceFromCamera),or=me.evaluateSizeForFeature(ve.textSizeData,jt,ir)*Xt/e.ONE_EM;ye&&(or*=ve.tilePixelRatio/mt);for(var qt=sr.width,Dr=sr.height,Jr=sr.anchor,ba=sr.textOffset,yi=sr.textBoxScale,Xa=ae(Jr,qt,Dr,ba,yi,or),si=ye?Li(pr.add(Xa),Le).point:lr.point.add(Y?Xa.rotate(-Ge.angle):Xa),Ji=ve.allowVerticalPlacement&&ir.placedOrientation===e.WritingMode.vertical?Math.PI/2:0,Bi=0;Bi<ir.numGlyphs;Bi++)e.addDynamicAttributes(hr,si,Ji);_r&&ir.associatedIconIndex>=0&&(Et[ir.associatedIconIndex]={shiftedAnchor:si,angle:Ji})}}if(_r){gt.clear();for(var pi=ve.icon.placedSymbolArray,wi=0;wi<pi.length;wi++){var Mi=pi.get(wi);if(Mi.hidden)Xo(Mi.numGlyphs,gt);else{var Vi=Et[wi];if(!Vi)Xo(Mi.numGlyphs,gt);else for(var cn=0;cn<Mi.numGlyphs;cn++)e.addDynamicAttributes(gt,Vi.shiftedAnchor,Vi.angle)}}ve.icon.dynamicLayoutVertexBuffer.updateData(gt)}ve.text.dynamicLayoutVertexBuffer.updateData(hr)}function Oe(ve,Y,ye){return ye.iconsInText&&Y?\"symbolTextAndIcon\":ve?\"symbolSDF\":\"symbolIcon\"}function pt(ve,Y,ye,te,me,Ge,Le,$e,mt,jt,_r,Fr){for(var hr=ve.context,gt=hr.gl,Et=ve.transform,Ft=$e===\"map\",ir=mt===\"map\",fr=Ft&&ye.layout.get(\"symbol-placement\")!==\"point\",sr=Ft&&!ir&&!fr,pr=ye.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,lr=!1,Xt=ve.depthModeForSublayer(0,Ba.ReadOnly),or=ye.layout.get(\"text-variable-anchor\"),qt=[],Dr=0,Jr=te;Dr<Jr.length;Dr+=1){var ba=Jr[Dr],yi=Y.getTile(ba),Xa=yi.getBucket(ye);if(Xa){var si=me?Xa.text:Xa.icon;if(!(!si||!si.segments.get().length)){var Ji=si.programConfigurations.get(ye.id),Bi=me||Xa.sdfIcons,pi=me?Xa.textSizeData:Xa.iconSizeData,wi=ir||Et.pitch!==0,Mi=ve.useProgram(Oe(Bi,me,Xa),Ji),Vi=e.evaluateSizeForZoom(pi,Et.zoom),cn=void 0,xo=[0,0],jo=void 0,ks=void 0,Fo=null,bs=void 0;if(me){if(jo=yi.glyphAtlasTexture,ks=gt.LINEAR,cn=yi.glyphAtlasTexture.size,Xa.iconsInText){xo=yi.imageAtlasTexture.size,Fo=yi.imageAtlasTexture;var Hs=pi.kind===\"composite\"||pi.kind===\"camera\";bs=wi||ve.options.rotating||ve.options.zooming||Hs?gt.LINEAR:gt.NEAREST}}else{var pu=ye.layout.get(\"icon-size\").constantOr(0)!==1||Xa.iconsNeedLinear;jo=yi.imageAtlasTexture,ks=Bi||ve.options.rotating||ve.options.zooming||pu||wi?gt.LINEAR:gt.NEAREST,cn=yi.imageAtlasTexture.size}var Mp=Vn(yi,1,ve.transform.zoom),Ep=Da(ba.posMatrix,ir,Ft,ve.transform,Mp),Ph=Xi(ba.posMatrix,ir,Ft,ve.transform,Mp),qp=or&&Xa.hasTextData(),qd=ye.layout.get(\"icon-text-fit\")!==\"none\"&&qp&&Xa.hasIconData();fr&&kn(Xa,ba.posMatrix,ve,me,Ep,Ph,ir,jt);var td=ve.translatePosMatrix(ba.posMatrix,yi,Ge,Le),Ih=fr||me&&or||qd?Ne:Ep,rd=ve.translatePosMatrix(Ph,yi,Ge,Le,!0),Kh=Bi&&ye.paint.get(me?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,Rh=void 0;Bi?Xa.iconsInText?Rh=yu(pi.kind,Vi,sr,ir,ve,td,Ih,rd,cn,xo):Rh=Lc(pi.kind,Vi,sr,ir,ve,td,Ih,rd,me,cn,!0):Rh=Zu(pi.kind,Vi,sr,ir,ve,td,Ih,rd,me,cn);var Cp={program:Mi,buffers:si,uniformValues:Rh,atlasTexture:jo,atlasTextureIcon:Fo,atlasInterpolation:ks,atlasInterpolationIcon:bs,isSDF:Bi,hasHalo:Kh};if(pr&&Xa.canOverlap){lr=!0;for(var Vp=si.segments.get(),kp=0,kv=Vp;kp<kv.length;kp+=1){var Vd=kv[kp];qt.push({segments:new e.SegmentVector([Vd]),sortKey:Vd.sortKey,state:Cp})}}else qt.push({segments:si.segments,sortKey:0,state:Cp})}}}lr&&qt.sort(function(im,nm){return im.sortKey-nm.sortKey});for(var qf=0,Gd=qt;qf<Gd.length;qf+=1){var Lv=Gd[qf],ch=Lv.state;if(hr.activeTexture.set(gt.TEXTURE0),ch.atlasTexture.bind(ch.atlasInterpolation,gt.CLAMP_TO_EDGE),ch.atlasTextureIcon&&(hr.activeTexture.set(gt.TEXTURE1),ch.atlasTextureIcon&&ch.atlasTextureIcon.bind(ch.atlasInterpolationIcon,gt.CLAMP_TO_EDGE)),ch.isSDF){var iv=ch.uniformValues;ch.hasHalo&&(iv.u_is_halo=1,At(ch.buffers,Lv.segments,ye,ve,ch.program,Xt,_r,Fr,iv)),iv.u_is_halo=0}At(ch.buffers,Lv.segments,ye,ve,ch.program,Xt,_r,Fr,ch.uniformValues)}}function At(ve,Y,ye,te,me,Ge,Le,$e,mt){var jt=te.context,_r=jt.gl;me.draw(jt,_r.TRIANGLES,Ge,Le,$e,Pr.disabled,mt,ye.id,ve.layoutVertexBuffer,ve.indexBuffer,Y,ye.paint,te.transform.zoom,ve.programConfigurations.get(ye.id),ve.dynamicLayoutVertexBuffer,ve.opacityVertexBuffer)}function Bt(ve,Y,ye,te){if(ve.renderPass===\"translucent\"){var me=ye.paint.get(\"circle-opacity\"),Ge=ye.paint.get(\"circle-stroke-width\"),Le=ye.paint.get(\"circle-stroke-opacity\"),$e=ye.layout.get(\"circle-sort-key\").constantOr(1)!==void 0;if(!(me.constantOr(1)===0&&(Ge.constantOr(1)===0||Le.constantOr(1)===0))){for(var mt=ve.context,jt=mt.gl,_r=ve.depthModeForSublayer(0,Ba.ReadOnly),Fr=za.disabled,hr=ve.colorModeForRenderPass(),gt=[],Et=0;Et<te.length;Et++){var Ft=te[Et],ir=Y.getTile(Ft),fr=ir.getBucket(ye);if(fr){var sr=fr.programConfigurations.get(ye.id),pr=ve.useProgram(\"circle\",sr),lr=fr.layoutVertexBuffer,Xt=fr.indexBuffer,or=yr(ve,Ft,ir,ye),qt={programConfiguration:sr,program:pr,layoutVertexBuffer:lr,indexBuffer:Xt,uniformValues:or};if($e)for(var Dr=fr.segments.get(),Jr=0,ba=Dr;Jr<ba.length;Jr+=1){var yi=ba[Jr];gt.push({segments:new e.SegmentVector([yi]),sortKey:yi.sortKey,state:qt})}else gt.push({segments:fr.segments,sortKey:0,state:qt})}}$e&&gt.sort(function(jo,ks){return jo.sortKey-ks.sortKey});for(var Xa=0,si=gt;Xa<si.length;Xa+=1){var Ji=si[Xa],Bi=Ji.state,pi=Bi.programConfiguration,wi=Bi.program,Mi=Bi.layoutVertexBuffer,Vi=Bi.indexBuffer,cn=Bi.uniformValues,xo=Ji.segments;wi.draw(mt,jt.TRIANGLES,_r,Fr,hr,Pr.disabled,cn,ye.id,Mi,Vi,xo,ye.paint,ve.transform.zoom,pi)}}}}function $t(ve,Y,ye,te){if(ye.paint.get(\"heatmap-opacity\")!==0)if(ve.renderPass===\"offscreen\"){var me=ve.context,Ge=me.gl,Le=za.disabled,$e=new Nt([Ge.ONE,Ge.ONE],e.Color.transparent,[!0,!0,!0,!0]);br(me,ve,ye),me.clear({color:e.Color.transparent});for(var mt=0;mt<te.length;mt++){var jt=te[mt];if(!Y.hasRenderableParent(jt)){var _r=Y.getTile(jt),Fr=_r.getBucket(ye);if(Fr){var hr=Fr.programConfigurations.get(ye.id),gt=ve.useProgram(\"heatmap\",hr),Et=ve.transform,Ft=Et.zoom;gt.draw(me,Ge.TRIANGLES,Ba.disabled,Le,$e,Pr.disabled,qi(jt.posMatrix,_r,Ft,ye.paint.get(\"heatmap-intensity\")),ye.id,Fr.layoutVertexBuffer,Fr.indexBuffer,Fr.segments,ye.paint,ve.transform.zoom,hr)}}}me.viewport.set([0,0,ve.width,ve.height])}else ve.renderPass===\"translucent\"&&(ve.context.setColorMode(ve.colorModeForRenderPass()),Yr(ve,ye))}function br(ve,Y,ye){var te=ve.gl;ve.activeTexture.set(te.TEXTURE1),ve.viewport.set([0,0,Y.width/4,Y.height/4]);var me=ye.heatmapFbo;if(me)te.bindTexture(te.TEXTURE_2D,me.colorAttachment.get()),ve.bindFramebuffer.set(me.framebuffer);else{var Ge=te.createTexture();te.bindTexture(te.TEXTURE_2D,Ge),te.texParameteri(te.TEXTURE_2D,te.TEXTURE_WRAP_S,te.CLAMP_TO_EDGE),te.texParameteri(te.TEXTURE_2D,te.TEXTURE_WRAP_T,te.CLAMP_TO_EDGE),te.texParameteri(te.TEXTURE_2D,te.TEXTURE_MIN_FILTER,te.LINEAR),te.texParameteri(te.TEXTURE_2D,te.TEXTURE_MAG_FILTER,te.LINEAR),me=ye.heatmapFbo=ve.createFramebuffer(Y.width/4,Y.height/4,!1),Ar(ve,Y,Ge,me)}}function Ar(ve,Y,ye,te){var me=ve.gl,Ge=ve.extRenderToTextureHalfFloat?ve.extTextureHalfFloat.HALF_FLOAT_OES:me.UNSIGNED_BYTE;me.texImage2D(me.TEXTURE_2D,0,me.RGBA,Y.width/4,Y.height/4,0,me.RGBA,Ge,null),te.colorAttachment.set(ye)}function Yr(ve,Y){var ye=ve.context,te=ye.gl,me=Y.heatmapFbo;if(me){ye.activeTexture.set(te.TEXTURE0),te.bindTexture(te.TEXTURE_2D,me.colorAttachment.get()),ye.activeTexture.set(te.TEXTURE1);var Ge=Y.colorRampTexture;Ge||(Ge=Y.colorRampTexture=new e.Texture(ye,Y.colorRamp,te.RGBA)),Ge.bind(te.LINEAR,te.CLAMP_TO_EDGE),ve.useProgram(\"heatmapTexture\").draw(ye,te.TRIANGLES,Ba.disabled,za.disabled,ve.colorModeForRenderPass(),Pr.disabled,_i(ve,Y,0,1),Y.id,ve.viewportBuffer,ve.quadTriangleIndexBuffer,ve.viewportSegments,Y.paint,ve.transform.zoom)}}function sa(ve,Y,ye,te){if(ve.renderPass===\"translucent\"){var me=ye.paint.get(\"line-opacity\"),Ge=ye.paint.get(\"line-width\");if(!(me.constantOr(1)===0||Ge.constantOr(1)===0))for(var Le=ve.depthModeForSublayer(0,Ba.ReadOnly),$e=ve.colorModeForRenderPass(),mt=ye.paint.get(\"line-dasharray\"),jt=ye.paint.get(\"line-pattern\"),_r=jt.constantOr(1),Fr=ye.paint.get(\"line-gradient\"),hr=ye.getCrossfadeParameters(),gt=_r?\"linePattern\":mt?\"lineSDF\":Fr?\"lineGradient\":\"line\",Et=ve.context,Ft=Et.gl,ir=!0,fr=0,sr=te;fr<sr.length;fr+=1){var pr=sr[fr],lr=Y.getTile(pr);if(!(_r&&!lr.patternsLoaded())){var Xt=lr.getBucket(ye);if(Xt){var or=Xt.programConfigurations.get(ye.id),qt=ve.context.program.get(),Dr=ve.useProgram(gt,or),Jr=ir||Dr.program!==qt,ba=jt.constantOr(null);if(ba&&lr.imageAtlas){var yi=lr.imageAtlas,Xa=yi.patternPositions[ba.to.toString()],si=yi.patternPositions[ba.from.toString()];Xa&&si&&or.setConstantPatternPositions(Xa,si)}var Ji=_r?Rs(ve,lr,ye,hr):mt?Ks(ve,lr,ye,mt,hr):Fr?Qs(ve,lr,ye,Xt.lineClipsArray.length):xs(ve,lr,ye);if(_r)Et.activeTexture.set(Ft.TEXTURE0),lr.imageAtlasTexture.bind(Ft.LINEAR,Ft.CLAMP_TO_EDGE),or.updatePaintBuffers(hr);else if(mt&&(Jr||ve.lineAtlas.dirty))Et.activeTexture.set(Ft.TEXTURE0),ve.lineAtlas.bind(Et);else if(Fr){var Bi=Xt.gradients[ye.id],pi=Bi.texture;if(ye.gradientVersion!==Bi.version){var wi=256;if(ye.stepInterpolant){var Mi=Y.getSource().maxzoom,Vi=pr.canonical.z===Mi?Math.ceil(1<<ve.transform.maxZoom-pr.canonical.z):1,cn=Xt.maxLineLength/e.EXTENT,xo=1024,jo=cn*xo*Vi;wi=e.clamp(e.nextPowerOfTwo(jo),256,Et.maxTextureSize)}Bi.gradient=e.renderColorRamp({expression:ye.gradientExpression(),evaluationKey:\"lineProgress\",resolution:wi,image:Bi.gradient||void 0,clips:Xt.lineClipsArray}),Bi.texture?Bi.texture.update(Bi.gradient):Bi.texture=new e.Texture(Et,Bi.gradient,Ft.RGBA),Bi.version=ye.gradientVersion,pi=Bi.texture}Et.activeTexture.set(Ft.TEXTURE0),pi.bind(ye.stepInterpolant?Ft.NEAREST:Ft.LINEAR,Ft.CLAMP_TO_EDGE)}Dr.draw(Et,Ft.TRIANGLES,Le,ve.stencilModeForClipping(pr),$e,Pr.disabled,Ji,ye.id,Xt.layoutVertexBuffer,Xt.indexBuffer,Xt.segments,ye.paint,ve.transform.zoom,or,Xt.layoutVertexBuffer2),ir=!1}}}}}function He(ve,Y,ye,te){var me=ye.paint.get(\"fill-color\"),Ge=ye.paint.get(\"fill-opacity\");if(Ge.constantOr(1)!==0){var Le=ve.colorModeForRenderPass(),$e=ye.paint.get(\"fill-pattern\"),mt=ve.opaquePassEnabledForLayer()&&!$e.constantOr(1)&&me.constantOr(e.Color.transparent).a===1&&Ge.constantOr(0)===1?\"opaque\":\"translucent\";if(ve.renderPass===mt){var jt=ve.depthModeForSublayer(1,ve.renderPass===\"opaque\"?Ba.ReadWrite:Ba.ReadOnly);Je(ve,Y,ye,te,jt,Le,!1)}if(ve.renderPass===\"translucent\"&&ye.paint.get(\"fill-antialias\")){var _r=ve.depthModeForSublayer(ye.getPaintProperty(\"fill-outline-color\")?2:0,Ba.ReadOnly);Je(ve,Y,ye,te,_r,Le,!0)}}}function Je(ve,Y,ye,te,me,Ge,Le){var $e=ve.context.gl,mt=ye.paint.get(\"fill-pattern\"),jt=mt&&mt.constantOr(1),_r=ye.getCrossfadeParameters(),Fr,hr,gt,Et,Ft;Le?(hr=jt&&!ye.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",Fr=$e.LINES):(hr=jt?\"fillPattern\":\"fill\",Fr=$e.TRIANGLES);for(var ir=0,fr=te;ir<fr.length;ir+=1){var sr=fr[ir],pr=Y.getTile(sr);if(!(jt&&!pr.patternsLoaded())){var lr=pr.getBucket(ye);if(lr){var Xt=lr.programConfigurations.get(ye.id),or=ve.useProgram(hr,Xt);jt&&(ve.context.activeTexture.set($e.TEXTURE0),pr.imageAtlasTexture.bind($e.LINEAR,$e.CLAMP_TO_EDGE),Xt.updatePaintBuffers(_r));var qt=mt.constantOr(null);if(qt&&pr.imageAtlas){var Dr=pr.imageAtlas,Jr=Dr.patternPositions[qt.to.toString()],ba=Dr.patternPositions[qt.from.toString()];Jr&&ba&&Xt.setConstantPatternPositions(Jr,ba)}var yi=ve.translatePosMatrix(sr.posMatrix,pr,ye.paint.get(\"fill-translate\"),ye.paint.get(\"fill-translate-anchor\"));if(!Le)Et=lr.indexBuffer,Ft=lr.segments,gt=jt?Yc(yi,ve,_r,pr):Cc(yi);else{Et=lr.indexBuffer2,Ft=lr.segments2;var Xa=[$e.drawingBufferWidth,$e.drawingBufferHeight];gt=hr===\"fillOutlinePattern\"&&jt?kc(yi,ve,_r,pr,Xa):sc(yi,Xa)}or.draw(ve.context,Fr,me,ve.stencilModeForClipping(sr),Ge,Pr.disabled,gt,ye.id,lr.layoutVertexBuffer,Et,Ft,ye.paint,ve.transform.zoom,Xt)}}}}function ut(ve,Y,ye,te){var me=ye.paint.get(\"fill-extrusion-opacity\");if(me!==0&&ve.renderPass===\"translucent\"){var Ge=new Ba(ve.context.gl.LEQUAL,Ba.ReadWrite,ve.depthRangeFor3D);if(me===1&&!ye.paint.get(\"fill-extrusion-pattern\").constantOr(1)){var Le=ve.colorModeForRenderPass();dt(ve,Y,ye,te,Ge,za.disabled,Le)}else dt(ve,Y,ye,te,Ge,za.disabled,Nt.disabled),dt(ve,Y,ye,te,Ge,ve.stencilModeFor3D(),ve.colorModeForRenderPass())}}function dt(ve,Y,ye,te,me,Ge,Le){for(var $e=ve.context,mt=$e.gl,jt=ye.paint.get(\"fill-extrusion-pattern\"),_r=jt.constantOr(1),Fr=ye.getCrossfadeParameters(),hr=ye.paint.get(\"fill-extrusion-opacity\"),gt=0,Et=te;gt<Et.length;gt+=1){var Ft=Et[gt],ir=Y.getTile(Ft),fr=ir.getBucket(ye);if(fr){var sr=fr.programConfigurations.get(ye.id),pr=ve.useProgram(_r?\"fillExtrusionPattern\":\"fillExtrusion\",sr);_r&&(ve.context.activeTexture.set(mt.TEXTURE0),ir.imageAtlasTexture.bind(mt.LINEAR,mt.CLAMP_TO_EDGE),sr.updatePaintBuffers(Fr));var lr=jt.constantOr(null);if(lr&&ir.imageAtlas){var Xt=ir.imageAtlas,or=Xt.patternPositions[lr.to.toString()],qt=Xt.patternPositions[lr.from.toString()];or&&qt&&sr.setConstantPatternPositions(or,qt)}var Dr=ve.translatePosMatrix(Ft.posMatrix,ir,ye.paint.get(\"fill-extrusion-translate\"),ye.paint.get(\"fill-extrusion-translate-anchor\")),Jr=ye.paint.get(\"fill-extrusion-vertical-gradient\"),ba=_r?Xu(Dr,ve,Jr,hr,Ft,Fr,ir):jf(Dr,ve,Jr,hr);pr.draw($e,$e.gl.TRIANGLES,me,Ge,Le,Pr.backCCW,ba,ye.id,fr.layoutVertexBuffer,fr.indexBuffer,fr.segments,ye.paint,ve.transform.zoom,sr)}}}function Ct(ve,Y,ye,te){if(!(ve.renderPass!==\"offscreen\"&&ve.renderPass!==\"translucent\")){for(var me=ve.context,Ge=ve.depthModeForSublayer(0,Ba.ReadOnly),Le=ve.colorModeForRenderPass(),$e=ve.renderPass===\"translucent\"?ve.stencilConfigForOverlap(te):[{},te],mt=$e[0],jt=$e[1],_r=0,Fr=jt;_r<Fr.length;_r+=1){var hr=Fr[_r],gt=Y.getTile(hr);gt.needsHillshadePrepare&&ve.renderPass===\"offscreen\"?Dt(ve,gt,ye,Ge,za.disabled,Le):ve.renderPass===\"translucent\"&&wt(ve,gt,ye,Ge,mt[hr.overscaledZ],Le)}me.viewport.set([0,0,ve.width,ve.height])}}function wt(ve,Y,ye,te,me,Ge){var Le=ve.context,$e=Le.gl,mt=Y.fbo;if(mt){var jt=ve.useProgram(\"hillshade\");Le.activeTexture.set($e.TEXTURE0),$e.bindTexture($e.TEXTURE_2D,mt.colorAttachment.get());var _r=ao(ve,Y,ye);jt.draw(Le,$e.TRIANGLES,te,me,Ge,Pr.disabled,_r,ye.id,ve.rasterBoundsBuffer,ve.quadTriangleIndexBuffer,ve.rasterBoundsSegments)}}function Dt(ve,Y,ye,te,me,Ge){var Le=ve.context,$e=Le.gl,mt=Y.dem;if(mt&&mt.data){var jt=mt.dim,_r=mt.stride,Fr=mt.getPixels();if(Le.activeTexture.set($e.TEXTURE1),Le.pixelStoreUnpackPremultiplyAlpha.set(!1),Y.demTexture=Y.demTexture||ve.getTileTexture(_r),Y.demTexture){var hr=Y.demTexture;hr.update(Fr,{premultiply:!1}),hr.bind($e.NEAREST,$e.CLAMP_TO_EDGE)}else Y.demTexture=new e.Texture(Le,Fr,$e.RGBA,{premultiply:!1}),Y.demTexture.bind($e.NEAREST,$e.CLAMP_TO_EDGE);Le.activeTexture.set($e.TEXTURE0);var gt=Y.fbo;if(!gt){var Et=new e.Texture(Le,{width:jt,height:jt,data:null},$e.RGBA);Et.bind($e.LINEAR,$e.CLAMP_TO_EDGE),gt=Y.fbo=Le.createFramebuffer(jt,jt,!0),gt.colorAttachment.set(Et.texture)}Le.bindFramebuffer.set(gt.framebuffer),Le.viewport.set([0,0,jt,jt]),ve.useProgram(\"hillshadePrepare\").draw(Le,$e.TRIANGLES,te,me,Ge,Pr.disabled,Jn(Y.tileID,mt),ye.id,ve.rasterBoundsBuffer,ve.quadTriangleIndexBuffer,ve.rasterBoundsSegments),Y.needsHillshadePrepare=!1}}function ur(ve,Y,ye,te){if(ve.renderPass===\"translucent\"&&ye.paint.get(\"raster-opacity\")!==0&&te.length)for(var me=ve.context,Ge=me.gl,Le=Y.getSource(),$e=ve.useProgram(\"raster\"),mt=ve.colorModeForRenderPass(),jt=Le instanceof le?[{},te]:ve.stencilConfigForOverlap(te),_r=jt[0],Fr=jt[1],hr=Fr[Fr.length-1].overscaledZ,gt=!ve.options.moving,Et=0,Ft=Fr;Et<Ft.length;Et+=1){var ir=Ft[Et],fr=ve.depthModeForSublayer(ir.overscaledZ-hr,ye.paint.get(\"raster-opacity\")===1?Ba.ReadWrite:Ba.ReadOnly,Ge.LESS),sr=Y.getTile(ir),pr=ve.transform.calculatePosMatrix(ir.toUnwrapped(),gt);sr.registerFadeDuration(ye.paint.get(\"raster-fade-duration\"));var lr=Y.findLoadedParent(ir,0),Xt=mr(sr,lr,Y,ye,ve.transform),or=void 0,qt=void 0,Dr=ye.paint.get(\"raster-resampling\")===\"nearest\"?Ge.NEAREST:Ge.LINEAR;me.activeTexture.set(Ge.TEXTURE0),sr.texture.bind(Dr,Ge.CLAMP_TO_EDGE,Ge.LINEAR_MIPMAP_NEAREST),me.activeTexture.set(Ge.TEXTURE1),lr?(lr.texture.bind(Dr,Ge.CLAMP_TO_EDGE,Ge.LINEAR_MIPMAP_NEAREST),or=Math.pow(2,lr.tileID.overscaledZ-sr.tileID.overscaledZ),qt=[sr.tileID.canonical.x*or%1,sr.tileID.canonical.y*or%1]):sr.texture.bind(Dr,Ge.CLAMP_TO_EDGE,Ge.LINEAR_MIPMAP_NEAREST);var Jr=sl(pr,qt||[0,0],or||1,Xt,ye);Le instanceof le?$e.draw(me,Ge.TRIANGLES,fr,za.disabled,mt,Pr.disabled,Jr,ye.id,Le.boundsBuffer,ve.quadTriangleIndexBuffer,Le.boundsSegments):$e.draw(me,Ge.TRIANGLES,fr,_r[ir.overscaledZ],mt,Pr.disabled,Jr,ye.id,ve.rasterBoundsBuffer,ve.quadTriangleIndexBuffer,ve.rasterBoundsSegments)}}function mr(ve,Y,ye,te,me){var Ge=te.paint.get(\"raster-fade-duration\");if(Ge>0){var Le=e.browser.now(),$e=(Le-ve.timeAdded)/Ge,mt=Y?(Le-Y.timeAdded)/Ge:-1,jt=ye.getSource(),_r=me.coveringZoomLevel({tileSize:jt.tileSize,roundZoom:jt.roundZoom}),Fr=!Y||Math.abs(Y.tileID.overscaledZ-_r)>Math.abs(ve.tileID.overscaledZ-_r),hr=Fr&&ve.refreshedUponExpiration?1:e.clamp(Fr?$e:1-mt,0,1);return ve.refreshedUponExpiration&&$e>=1&&(ve.refreshedUponExpiration=!1),Y?{opacity:1,mix:1-hr}:{opacity:hr,mix:0}}else return{opacity:1,mix:0}}function Er(ve,Y,ye){var te=ye.paint.get(\"background-color\"),me=ye.paint.get(\"background-opacity\");if(me!==0){var Ge=ve.context,Le=Ge.gl,$e=ve.transform,mt=$e.tileSize,jt=ye.paint.get(\"background-pattern\");if(!ve.isPatternMissing(jt)){var _r=!jt&&te.a===1&&me===1&&ve.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(ve.renderPass===_r){var Fr=za.disabled,hr=ve.depthModeForSublayer(0,_r===\"opaque\"?Ba.ReadWrite:Ba.ReadOnly),gt=ve.colorModeForRenderPass(),Et=ve.useProgram(jt?\"backgroundPattern\":\"background\"),Ft=$e.coveringTiles({tileSize:mt});jt&&(Ge.activeTexture.set(Le.TEXTURE0),ve.imageManager.bind(ve.context));for(var ir=ye.getCrossfadeParameters(),fr=0,sr=Ft;fr<sr.length;fr+=1){var pr=sr[fr],lr=ve.transform.calculatePosMatrix(pr.toUnwrapped()),Xt=jt?fo(lr,me,ve,jt,{tileID:pr,tileSize:mt},ir):gc(lr,me,te);Et.draw(Ge,Le.TRIANGLES,hr,Fr,gt,Pr.disabled,Xt,ye.id,ve.tileExtentBuffer,ve.quadTriangleIndexBuffer,ve.tileExtentSegments)}}}}}var Br=new e.Color(1,0,0,1),Qr=new e.Color(0,1,0,1),ga=new e.Color(0,0,1,1),Sa=new e.Color(1,0,1,1),Oa=new e.Color(0,1,1,1);function di(ve){var Y=ve.transform.padding,ye=3;Gi(ve,ve.transform.height-(Y.top||0),ye,Br),Gi(ve,Y.bottom||0,ye,Qr),on(ve,Y.left||0,ye,ga),on(ve,ve.transform.width-(Y.right||0),ye,Sa);var te=ve.transform.centerPoint;Wi(ve,te.x,ve.transform.height-te.y,Oa)}function Wi(ve,Y,ye,te){var me=20,Ge=2;Tn(ve,Y-Ge/2,ye-me/2,Ge,me,te),Tn(ve,Y-me/2,ye-Ge/2,me,Ge,te)}function Gi(ve,Y,ye,te){Tn(ve,0,Y+ye/2,ve.transform.width,ye,te)}function on(ve,Y,ye,te){Tn(ve,Y-ye/2,0,ye,ve.transform.height,te)}function Tn(ve,Y,ye,te,me,Ge){var Le=ve.context,$e=Le.gl;$e.enable($e.SCISSOR_TEST),$e.scissor(Y*e.browser.devicePixelRatio,ye*e.browser.devicePixelRatio,te*e.browser.devicePixelRatio,me*e.browser.devicePixelRatio),Le.clear({color:Ge}),$e.disable($e.SCISSOR_TEST)}function Wn(ve,Y,ye){for(var te=0;te<ye.length;te++)Bn(ve,Y,ye[te])}function Bn(ve,Y,ye){var te=ve.context,me=te.gl,Ge=ye.posMatrix,Le=ve.useProgram(\"debug\"),$e=Ba.disabled,mt=za.disabled,jt=ve.colorModeForRenderPass(),_r=\"$debug\";te.activeTexture.set(me.TEXTURE0),ve.emptyTexture.bind(me.LINEAR,me.CLAMP_TO_EDGE),Le.draw(te,me.LINE_STRIP,$e,mt,jt,Pr.disabled,Zi(Ge,e.Color.red),_r,ve.debugBuffer,ve.tileBorderIndexBuffer,ve.debugSegments);var Fr=Y.getTileByID(ye.key).latestRawTileData,hr=Fr&&Fr.byteLength||0,gt=Math.floor(hr/1024),Et=Y.getTile(ye).tileSize,Ft=512/Math.min(Et,512)*(ye.overscaledZ/ve.transform.zoom)*.5,ir=ye.canonical.toString();ye.overscaledZ!==ye.canonical.z&&(ir+=\" => \"+ye.overscaledZ);var fr=ir+\" \"+gt+\"kb\";Ao(ve,fr),Le.draw(te,me.TRIANGLES,$e,mt,Nt.alphaBlended,Pr.disabled,Zi(Ge,e.Color.transparent,Ft),_r,ve.debugBuffer,ve.quadTriangleIndexBuffer,ve.debugSegments)}function Ao(ve,Y){ve.initDebugOverlayCanvas();var ye=ve.debugOverlayCanvas,te=ve.context.gl,me=ve.debugOverlayCanvas.getContext(\"2d\");me.clearRect(0,0,ye.width,ye.height),me.shadowColor=\"white\",me.shadowBlur=2,me.lineWidth=1.5,me.strokeStyle=\"white\",me.textBaseline=\"top\",me.font=\"bold 36px Open Sans, sans-serif\",me.fillText(Y,5,5),me.strokeText(Y,5,5),ve.debugOverlayTexture.update(ye),ve.debugOverlayTexture.bind(te.LINEAR,te.CLAMP_TO_EDGE)}function ss(ve,Y,ye){var te=ve.context,me=ye.implementation;if(ve.renderPass===\"offscreen\"){var Ge=me.prerender;Ge&&(ve.setCustomLayerDefaults(),te.setColorMode(ve.colorModeForRenderPass()),Ge.call(me,te.gl,ve.transform.customLayerMatrix()),te.setDirty(),ve.setBaseState())}else if(ve.renderPass===\"translucent\"){ve.setCustomLayerDefaults(),te.setColorMode(ve.colorModeForRenderPass()),te.setStencilMode(za.disabled);var Le=me.renderingMode===\"3d\"?new Ba(ve.context.gl.LEQUAL,Ba.ReadWrite,ve.depthRangeFor3D):ve.depthModeForSublayer(0,Ba.ReadOnly);te.setDepthMode(Le),me.render(te.gl,ve.transform.customLayerMatrix()),te.setDirty(),ve.setBaseState(),te.bindFramebuffer.set(null)}}var So={symbol:R,circle:Bt,heatmap:$t,line:sa,fill:He,\"fill-extrusion\":ut,hillshade:Ct,raster:ur,background:Er,debug:Wn,custom:ss},Ko=function(Y,ye){this.context=new ta(Y),this.transform=ye,this._tileTextures={},this.setup(),this.numSublayers=ma.maxUnderzooming+ma.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new au,this.gpuTimers={}};Ko.prototype.resize=function(Y,ye){if(this.width=Y*e.browser.devicePixelRatio,this.height=ye*e.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var te=0,me=this.style._order;te<me.length;te+=1){var Ge=me[te];this.style._layers[Ge].resize()}},Ko.prototype.setup=function(){var Y=this.context,ye=new e.StructArrayLayout2i4;ye.emplaceBack(0,0),ye.emplaceBack(e.EXTENT,0),ye.emplaceBack(0,e.EXTENT),ye.emplaceBack(e.EXTENT,e.EXTENT),this.tileExtentBuffer=Y.createVertexBuffer(ye,Eu.members),this.tileExtentSegments=e.SegmentVector.simpleSegment(0,0,4,2);var te=new e.StructArrayLayout2i4;te.emplaceBack(0,0),te.emplaceBack(e.EXTENT,0),te.emplaceBack(0,e.EXTENT),te.emplaceBack(e.EXTENT,e.EXTENT),this.debugBuffer=Y.createVertexBuffer(te,Eu.members),this.debugSegments=e.SegmentVector.simpleSegment(0,0,4,5);var me=new e.StructArrayLayout4i8;me.emplaceBack(0,0,0,0),me.emplaceBack(e.EXTENT,0,e.EXTENT,0),me.emplaceBack(0,e.EXTENT,0,e.EXTENT),me.emplaceBack(e.EXTENT,e.EXTENT,e.EXTENT,e.EXTENT),this.rasterBoundsBuffer=Y.createVertexBuffer(me,ue.members),this.rasterBoundsSegments=e.SegmentVector.simpleSegment(0,0,4,2);var Ge=new e.StructArrayLayout2i4;Ge.emplaceBack(0,0),Ge.emplaceBack(1,0),Ge.emplaceBack(0,1),Ge.emplaceBack(1,1),this.viewportBuffer=Y.createVertexBuffer(Ge,Eu.members),this.viewportSegments=e.SegmentVector.simpleSegment(0,0,4,2);var Le=new e.StructArrayLayout1ui2;Le.emplaceBack(0),Le.emplaceBack(1),Le.emplaceBack(3),Le.emplaceBack(2),Le.emplaceBack(0),this.tileBorderIndexBuffer=Y.createIndexBuffer(Le);var $e=new e.StructArrayLayout3ui6;$e.emplaceBack(0,1,2),$e.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=Y.createIndexBuffer($e),this.emptyTexture=new e.Texture(Y,{width:1,height:1,data:new Uint8Array([0,0,0,0])},Y.gl.RGBA);var mt=this.context.gl;this.stencilClearMode=new za({func:mt.ALWAYS,mask:0},0,255,mt.ZERO,mt.ZERO,mt.ZERO)},Ko.prototype.clearStencil=function(){var Y=this.context,ye=Y.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var te=e.create();e.ortho(te,0,this.width,this.height,0,0,1),e.scale(te,te,[ye.drawingBufferWidth,ye.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(Y,ye.TRIANGLES,Ba.disabled,this.stencilClearMode,Nt.disabled,Pr.disabled,dn(te),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Ko.prototype._renderTileClippingMasks=function(Y,ye){if(!(this.currentStencilSource===Y.source||!Y.isTileClipped()||!ye||!ye.length)){this.currentStencilSource=Y.source;var te=this.context,me=te.gl;this.nextStencilID+ye.length>256&&this.clearStencil(),te.setColorMode(Nt.disabled),te.setDepthMode(Ba.disabled);var Ge=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var Le=0,$e=ye;Le<$e.length;Le+=1){var mt=$e[Le],jt=this._tileClippingMaskIDs[mt.key]=this.nextStencilID++;Ge.draw(te,me.TRIANGLES,Ba.disabled,new za({func:me.ALWAYS,mask:0},jt,255,me.KEEP,me.KEEP,me.REPLACE),Nt.disabled,Pr.disabled,dn(mt.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Ko.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var Y=this.nextStencilID++,ye=this.context.gl;return new za({func:ye.NOTEQUAL,mask:255},Y,255,ye.KEEP,ye.KEEP,ye.REPLACE)},Ko.prototype.stencilModeForClipping=function(Y){var ye=this.context.gl;return new za({func:ye.EQUAL,mask:255},this._tileClippingMaskIDs[Y.key],0,ye.KEEP,ye.KEEP,ye.REPLACE)},Ko.prototype.stencilConfigForOverlap=function(Y){var ye,te=this.context.gl,me=Y.sort(function(jt,_r){return _r.overscaledZ-jt.overscaledZ}),Ge=me[me.length-1].overscaledZ,Le=me[0].overscaledZ-Ge+1;if(Le>1){this.currentStencilSource=void 0,this.nextStencilID+Le>256&&this.clearStencil();for(var $e={},mt=0;mt<Le;mt++)$e[mt+Ge]=new za({func:te.GEQUAL,mask:255},mt+this.nextStencilID,255,te.KEEP,te.KEEP,te.REPLACE);return this.nextStencilID+=Le,[$e,me]}return[(ye={},ye[Ge]=za.disabled,ye),me]},Ko.prototype.colorModeForRenderPass=function(){var Y=this.context.gl;if(this._showOverdrawInspector){var ye=8,te=1/ye;return new Nt([Y.CONSTANT_COLOR,Y.ONE],new e.Color(te,te,te,0),[!0,!0,!0,!0])}else return this.renderPass===\"opaque\"?Nt.unblended:Nt.alphaBlended},Ko.prototype.depthModeForSublayer=function(Y,ye,te){if(!this.opaquePassEnabledForLayer())return Ba.disabled;var me=1-((1+this.currentLayer)*this.numSublayers+Y)*this.depthEpsilon;return new Ba(te||this.context.gl.LEQUAL,ye,[me,me])},Ko.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Ko.prototype.render=function(Y,ye){var te=this;this.style=Y,this.options=ye,this.lineAtlas=Y.lineAtlas,this.imageManager=Y.imageManager,this.glyphManager=Y.glyphManager,this.symbolFadeChange=Y.placement.symbolFadeChange(e.browser.now()),this.imageManager.beginFrame();var me=this.style._order,Ge=this.style.sourceCaches;for(var Le in Ge){var $e=Ge[Le];$e.used&&$e.prepare(this.context)}var mt={},jt={},_r={};for(var Fr in Ge){var hr=Ge[Fr];mt[Fr]=hr.getVisibleCoordinates(),jt[Fr]=mt[Fr].slice().reverse(),_r[Fr]=hr.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var gt=0;gt<me.length;gt++){var Et=me[gt];if(this.style._layers[Et].is3D()){this.opaquePassCutoff=gt;break}}this.renderPass=\"offscreen\";for(var Ft=0,ir=me;Ft<ir.length;Ft+=1){var fr=ir[Ft],sr=this.style._layers[fr];if(!(!sr.hasOffscreenPass()||sr.isHidden(this.transform.zoom))){var pr=jt[sr.source];sr.type!==\"custom\"&&!pr.length||this.renderLayer(this,Ge[sr.source],sr,pr)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:ye.showOverdrawInspector?e.Color.black:e.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=ye.showOverdrawInspector,this.depthRangeFor3D=[0,1-(Y._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=me.length-1;this.currentLayer>=0;this.currentLayer--){var lr=this.style._layers[me[this.currentLayer]],Xt=Ge[lr.source],or=mt[lr.source];this._renderTileClippingMasks(lr,or),this.renderLayer(this,Xt,lr,or)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<me.length;this.currentLayer++){var qt=this.style._layers[me[this.currentLayer]],Dr=Ge[qt.source],Jr=(qt.type===\"symbol\"?_r:jt)[qt.source];this._renderTileClippingMasks(qt,mt[qt.source]),this.renderLayer(this,Dr,qt,Jr)}if(this.options.showTileBoundaries){var ba,yi,Xa=e.values(this.style._layers);Xa.forEach(function(si){si.source&&!si.isHidden(te.transform.zoom)&&(si.source!==(yi&&yi.id)&&(yi=te.style.sourceCaches[si.source]),(!ba||ba.getSource().maxzoom<yi.getSource().maxzoom)&&(ba=yi))}),ba&&So.debug(this,ba,ba.getVisibleCoordinates())}this.options.showPadding&&di(this),this.context.setDefault()},Ko.prototype.renderLayer=function(Y,ye,te,me){te.isHidden(this.transform.zoom)||te.type!==\"background\"&&te.type!==\"custom\"&&!me.length||(this.id=te.id,this.gpuTimingStart(te),So[te.type](Y,ye,te,me,this.style.placement.variableOffsets),this.gpuTimingEnd())},Ko.prototype.gpuTimingStart=function(Y){if(this.options.gpuTiming){var ye=this.context.extTimerQuery,te=this.gpuTimers[Y.id];te||(te=this.gpuTimers[Y.id]={calls:0,cpuTime:0,query:ye.createQueryEXT()}),te.calls++,ye.beginQueryEXT(ye.TIME_ELAPSED_EXT,te.query)}},Ko.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var Y=this.context.extTimerQuery;Y.endQueryEXT(Y.TIME_ELAPSED_EXT)}},Ko.prototype.collectGpuTimers=function(){var Y=this.gpuTimers;return this.gpuTimers={},Y},Ko.prototype.queryGpuTimers=function(Y){var ye={};for(var te in Y){var me=Y[te],Ge=this.context.extTimerQuery,Le=Ge.getQueryObjectEXT(me.query,Ge.QUERY_RESULT_EXT)/(1e3*1e3);Ge.deleteQueryEXT(me.query),ye[te]=Le}return ye},Ko.prototype.translatePosMatrix=function(Y,ye,te,me,Ge){if(!te[0]&&!te[1])return Y;var Le=Ge?me===\"map\"?this.transform.angle:0:me===\"viewport\"?-this.transform.angle:0;if(Le){var $e=Math.sin(Le),mt=Math.cos(Le);te=[te[0]*mt-te[1]*$e,te[0]*$e+te[1]*mt]}var jt=[Ge?te[0]:Vn(ye,te[0],this.transform.zoom),Ge?te[1]:Vn(ye,te[1],this.transform.zoom),0],_r=new Float32Array(16);return e.translate(_r,Y,jt),_r},Ko.prototype.saveTileTexture=function(Y){var ye=this._tileTextures[Y.size[0]];ye?ye.push(Y):this._tileTextures[Y.size[0]]=[Y]},Ko.prototype.getTileTexture=function(Y){var ye=this._tileTextures[Y];return ye&&ye.length>0?ye.pop():null},Ko.prototype.isPatternMissing=function(Y){if(!Y)return!1;if(!Y.from||!Y.to)return!0;var ye=this.imageManager.getPattern(Y.from.toString()),te=this.imageManager.getPattern(Y.to.toString());return!ye||!te},Ko.prototype.useProgram=function(Y,ye){this.cache=this.cache||{};var te=\"\"+Y+(ye?ye.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[te]||(this.cache[te]=new mf(this.context,Y,sf[Y],ye,zo[Y],this._showOverdrawInspector)),this.cache[te]},Ko.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Ko.prototype.setBaseState=function(){var Y=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(Y.FUNC_ADD)},Ko.prototype.initDebugOverlayCanvas=function(){if(this.debugOverlayCanvas==null){this.debugOverlayCanvas=e.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var Y=this.context.gl;this.debugOverlayTexture=new e.Texture(this.context,this.debugOverlayCanvas,Y.RGBA)}},Ko.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var hs=function(Y,ye){this.points=Y,this.planes=ye};hs.fromInvProjectionMatrix=function(Y,ye,te){var me=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]],Ge=Math.pow(2,te),Le=me.map(function(jt){return e.transformMat4([],jt,Y)}).map(function(jt){return e.scale$1([],jt,1/jt[3]/ye*Ge)}),$e=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]],mt=$e.map(function(jt){var _r=e.sub([],Le[jt[0]],Le[jt[1]]),Fr=e.sub([],Le[jt[2]],Le[jt[1]]),hr=e.normalize([],e.cross([],_r,Fr)),gt=-e.dot(hr,Le[jt[1]]);return hr.concat(gt)});return new hs(Le,mt)};var ll=function(Y,ye){this.min=Y,this.max=ye,this.center=e.scale$2([],e.add([],this.min,this.max),.5)};ll.prototype.quadrant=function(Y){for(var ye=[Y%2===0,Y<2],te=e.clone$2(this.min),me=e.clone$2(this.max),Ge=0;Ge<ye.length;Ge++)te[Ge]=ye[Ge]?this.min[Ge]:this.center[Ge],me[Ge]=ye[Ge]?this.center[Ge]:this.max[Ge];return me[2]=this.max[2],new ll(te,me)},ll.prototype.distanceX=function(Y){var ye=Math.max(Math.min(this.max[0],Y[0]),this.min[0]);return ye-Y[0]},ll.prototype.distanceY=function(Y){var ye=Math.max(Math.min(this.max[1],Y[1]),this.min[1]);return ye-Y[1]},ll.prototype.intersects=function(Y){for(var ye=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],te=!0,me=0;me<Y.planes.length;me++){for(var Ge=Y.planes[me],Le=0,$e=0;$e<ye.length;$e++)Le+=e.dot$1(Ge,ye[$e])>=0;if(Le===0)return 0;Le!==ye.length&&(te=!1)}if(te)return 2;for(var mt=0;mt<3;mt++){for(var jt=Number.MAX_VALUE,_r=-Number.MAX_VALUE,Fr=0;Fr<Y.points.length;Fr++){var hr=Y.points[Fr][mt]-this.min[mt];jt=Math.min(jt,hr),_r=Math.max(_r,hr)}if(_r<0||jt>this.max[mt]-this.min[mt])return 0}return 1};var Js=function(Y,ye,te,me){if(Y===void 0&&(Y=0),ye===void 0&&(ye=0),te===void 0&&(te=0),me===void 0&&(me=0),isNaN(Y)||Y<0||isNaN(ye)||ye<0||isNaN(te)||te<0||isNaN(me)||me<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=Y,this.bottom=ye,this.left=te,this.right=me};Js.prototype.interpolate=function(Y,ye,te){return ye.top!=null&&Y.top!=null&&(this.top=e.number(Y.top,ye.top,te)),ye.bottom!=null&&Y.bottom!=null&&(this.bottom=e.number(Y.bottom,ye.bottom,te)),ye.left!=null&&Y.left!=null&&(this.left=e.number(Y.left,ye.left,te)),ye.right!=null&&Y.right!=null&&(this.right=e.number(Y.right,ye.right,te)),this},Js.prototype.getCenter=function(Y,ye){var te=e.clamp((this.left+Y-this.right)/2,0,Y),me=e.clamp((this.top+ye-this.bottom)/2,0,ye);return new e.Point(te,me)},Js.prototype.equals=function(Y){return this.top===Y.top&&this.bottom===Y.bottom&&this.left===Y.left&&this.right===Y.right},Js.prototype.clone=function(){return new Js(this.top,this.bottom,this.left,this.right)},Js.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var es=function(Y,ye,te,me,Ge){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=Ge===void 0?!0:Ge,this._minZoom=Y||0,this._maxZoom=ye||22,this._minPitch=te??0,this._maxPitch=me??60,this.setMaxBounds(),this.width=0,this.height=0,this._center=new e.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Js,this._posMatrixCache={},this._alignedPosMatrixCache={}},ts={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};es.prototype.clone=function(){var Y=new es(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return Y.tileSize=this.tileSize,Y.latRange=this.latRange,Y.width=this.width,Y.height=this.height,Y._center=this._center,Y.zoom=this.zoom,Y.angle=this.angle,Y._fov=this._fov,Y._pitch=this._pitch,Y._unmodified=this._unmodified,Y._edgeInsets=this._edgeInsets.clone(),Y._calcMatrices(),Y},ts.minZoom.get=function(){return this._minZoom},ts.minZoom.set=function(ve){this._minZoom!==ve&&(this._minZoom=ve,this.zoom=Math.max(this.zoom,ve))},ts.maxZoom.get=function(){return this._maxZoom},ts.maxZoom.set=function(ve){this._maxZoom!==ve&&(this._maxZoom=ve,this.zoom=Math.min(this.zoom,ve))},ts.minPitch.get=function(){return this._minPitch},ts.minPitch.set=function(ve){this._minPitch!==ve&&(this._minPitch=ve,this.pitch=Math.max(this.pitch,ve))},ts.maxPitch.get=function(){return this._maxPitch},ts.maxPitch.set=function(ve){this._maxPitch!==ve&&(this._maxPitch=ve,this.pitch=Math.min(this.pitch,ve))},ts.renderWorldCopies.get=function(){return this._renderWorldCopies},ts.renderWorldCopies.set=function(ve){ve===void 0?ve=!0:ve===null&&(ve=!1),this._renderWorldCopies=ve},ts.worldSize.get=function(){return this.tileSize*this.scale},ts.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},ts.size.get=function(){return new e.Point(this.width,this.height)},ts.bearing.get=function(){return-this.angle/Math.PI*180},ts.bearing.set=function(ve){var Y=-e.wrap(ve,-180,180)*Math.PI/180;this.angle!==Y&&(this._unmodified=!1,this.angle=Y,this._calcMatrices(),this.rotationMatrix=e.create$2(),e.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},ts.pitch.get=function(){return this._pitch/Math.PI*180},ts.pitch.set=function(ve){var Y=e.clamp(ve,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==Y&&(this._unmodified=!1,this._pitch=Y,this._calcMatrices())},ts.fov.get=function(){return this._fov/Math.PI*180},ts.fov.set=function(ve){ve=Math.max(.01,Math.min(60,ve)),this._fov!==ve&&(this._unmodified=!1,this._fov=ve/180*Math.PI,this._calcMatrices())},ts.zoom.get=function(){return this._zoom},ts.zoom.set=function(ve){var Y=Math.min(Math.max(ve,this.minZoom),this.maxZoom);this._zoom!==Y&&(this._unmodified=!1,this._zoom=Y,this.scale=this.zoomScale(Y),this.tileZoom=Math.floor(Y),this.zoomFraction=Y-this.tileZoom,this._constrain(),this._calcMatrices())},ts.center.get=function(){return this._center},ts.center.set=function(ve){ve.lat===this._center.lat&&ve.lng===this._center.lng||(this._unmodified=!1,this._center=ve,this._constrain(),this._calcMatrices())},ts.padding.get=function(){return this._edgeInsets.toJSON()},ts.padding.set=function(ve){this._edgeInsets.equals(ve)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,ve,1),this._calcMatrices())},ts.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},es.prototype.isPaddingEqual=function(Y){return this._edgeInsets.equals(Y)},es.prototype.interpolatePadding=function(Y,ye,te){this._unmodified=!1,this._edgeInsets.interpolate(Y,ye,te),this._constrain(),this._calcMatrices()},es.prototype.coveringZoomLevel=function(Y){var ye=(Y.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/Y.tileSize));return Math.max(0,ye)},es.prototype.getVisibleUnwrappedCoordinates=function(Y){var ye=[new e.UnwrappedTileID(0,Y)];if(this._renderWorldCopies)for(var te=this.pointCoordinate(new e.Point(0,0)),me=this.pointCoordinate(new e.Point(this.width,0)),Ge=this.pointCoordinate(new e.Point(this.width,this.height)),Le=this.pointCoordinate(new e.Point(0,this.height)),$e=Math.floor(Math.min(te.x,me.x,Ge.x,Le.x)),mt=Math.floor(Math.max(te.x,me.x,Ge.x,Le.x)),jt=1,_r=$e-jt;_r<=mt+jt;_r++)_r!==0&&ye.push(new e.UnwrappedTileID(_r,Y));return ye},es.prototype.coveringTiles=function(Y){var ye=this.coveringZoomLevel(Y),te=ye;if(Y.minzoom!==void 0&&ye<Y.minzoom)return[];Y.maxzoom!==void 0&&ye>Y.maxzoom&&(ye=Y.maxzoom);var me=e.MercatorCoordinate.fromLngLat(this.center),Ge=Math.pow(2,ye),Le=[Ge*me.x,Ge*me.y,0],$e=hs.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,ye),mt=Y.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(mt=ye);var jt=3,_r=function(Xa){return{aabb:new ll([Xa*Ge,0,0],[(Xa+1)*Ge,Ge,0]),zoom:0,x:0,y:0,wrap:Xa,fullyVisible:!1}},Fr=[],hr=[],gt=ye,Et=Y.reparseOverscaled?te:ye;if(this._renderWorldCopies)for(var Ft=1;Ft<=3;Ft++)Fr.push(_r(-Ft)),Fr.push(_r(Ft));for(Fr.push(_r(0));Fr.length>0;){var ir=Fr.pop(),fr=ir.x,sr=ir.y,pr=ir.fullyVisible;if(!pr){var lr=ir.aabb.intersects($e);if(lr===0)continue;pr=lr===2}var Xt=ir.aabb.distanceX(Le),or=ir.aabb.distanceY(Le),qt=Math.max(Math.abs(Xt),Math.abs(or)),Dr=jt+(1<<gt-ir.zoom)-2;if(ir.zoom===gt||qt>Dr&&ir.zoom>=mt){hr.push({tileID:new e.OverscaledTileID(ir.zoom===gt?Et:ir.zoom,ir.wrap,ir.zoom,fr,sr),distanceSq:e.sqrLen([Le[0]-.5-fr,Le[1]-.5-sr])});continue}for(var Jr=0;Jr<4;Jr++){var ba=(fr<<1)+Jr%2,yi=(sr<<1)+(Jr>>1);Fr.push({aabb:ir.aabb.quadrant(Jr),zoom:ir.zoom+1,x:ba,y:yi,wrap:ir.wrap,fullyVisible:pr})}}return hr.sort(function(Xa,si){return Xa.distanceSq-si.distanceSq}).map(function(Xa){return Xa.tileID})},es.prototype.resize=function(Y,ye){this.width=Y,this.height=ye,this.pixelsToGLUnits=[2/Y,-2/ye],this._constrain(),this._calcMatrices()},ts.unmodified.get=function(){return this._unmodified},es.prototype.zoomScale=function(Y){return Math.pow(2,Y)},es.prototype.scaleZoom=function(Y){return Math.log(Y)/Math.LN2},es.prototype.project=function(Y){var ye=e.clamp(Y.lat,-this.maxValidLatitude,this.maxValidLatitude);return new e.Point(e.mercatorXfromLng(Y.lng)*this.worldSize,e.mercatorYfromLat(ye)*this.worldSize)},es.prototype.unproject=function(Y){return new e.MercatorCoordinate(Y.x/this.worldSize,Y.y/this.worldSize).toLngLat()},ts.point.get=function(){return this.project(this.center)},es.prototype.setLocationAtPoint=function(Y,ye){var te=this.pointCoordinate(ye),me=this.pointCoordinate(this.centerPoint),Ge=this.locationCoordinate(Y),Le=new e.MercatorCoordinate(Ge.x-(te.x-me.x),Ge.y-(te.y-me.y));this.center=this.coordinateLocation(Le),this._renderWorldCopies&&(this.center=this.center.wrap())},es.prototype.locationPoint=function(Y){return this.coordinatePoint(this.locationCoordinate(Y))},es.prototype.pointLocation=function(Y){return this.coordinateLocation(this.pointCoordinate(Y))},es.prototype.locationCoordinate=function(Y){return e.MercatorCoordinate.fromLngLat(Y)},es.prototype.coordinateLocation=function(Y){return Y.toLngLat()},es.prototype.pointCoordinate=function(Y){var ye=0,te=[Y.x,Y.y,0,1],me=[Y.x,Y.y,1,1];e.transformMat4(te,te,this.pixelMatrixInverse),e.transformMat4(me,me,this.pixelMatrixInverse);var Ge=te[3],Le=me[3],$e=te[0]/Ge,mt=me[0]/Le,jt=te[1]/Ge,_r=me[1]/Le,Fr=te[2]/Ge,hr=me[2]/Le,gt=Fr===hr?0:(ye-Fr)/(hr-Fr);return new e.MercatorCoordinate(e.number($e,mt,gt)/this.worldSize,e.number(jt,_r,gt)/this.worldSize)},es.prototype.coordinatePoint=function(Y){var ye=[Y.x*this.worldSize,Y.y*this.worldSize,0,1];return e.transformMat4(ye,ye,this.pixelMatrix),new e.Point(ye[0]/ye[3],ye[1]/ye[3])},es.prototype.getBounds=function(){return new e.LngLatBounds().extend(this.pointLocation(new e.Point(0,0))).extend(this.pointLocation(new e.Point(this.width,0))).extend(this.pointLocation(new e.Point(this.width,this.height))).extend(this.pointLocation(new e.Point(0,this.height)))},es.prototype.getMaxBounds=function(){return!this.latRange||this.latRange.length!==2||!this.lngRange||this.lngRange.length!==2?null:new e.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]])},es.prototype.setMaxBounds=function(Y){Y?(this.lngRange=[Y.getWest(),Y.getEast()],this.latRange=[Y.getSouth(),Y.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},es.prototype.calculatePosMatrix=function(Y,ye){ye===void 0&&(ye=!1);var te=Y.key,me=ye?this._alignedPosMatrixCache:this._posMatrixCache;if(me[te])return me[te];var Ge=Y.canonical,Le=this.worldSize/this.zoomScale(Ge.z),$e=Ge.x+Math.pow(2,Ge.z)*Y.wrap,mt=e.identity(new Float64Array(16));return e.translate(mt,mt,[$e*Le,Ge.y*Le,0]),e.scale(mt,mt,[Le/e.EXTENT,Le/e.EXTENT,1]),e.multiply(mt,ye?this.alignedProjMatrix:this.projMatrix,mt),me[te]=new Float32Array(mt),me[te]},es.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},es.prototype._constrain=function(){if(!(!this.center||!this.width||!this.height||this._constraining)){this._constraining=!0;var Y=-90,ye=90,te=-180,me=180,Ge,Le,$e,mt,jt=this.size,_r=this._unmodified;if(this.latRange){var Fr=this.latRange;Y=e.mercatorYfromLat(Fr[1])*this.worldSize,ye=e.mercatorYfromLat(Fr[0])*this.worldSize,Ge=ye-Y<jt.y?jt.y/(ye-Y):0}if(this.lngRange){var hr=this.lngRange;te=e.mercatorXfromLng(hr[0])*this.worldSize,me=e.mercatorXfromLng(hr[1])*this.worldSize,Le=me-te<jt.x?jt.x/(me-te):0}var gt=this.point,Et=Math.max(Le||0,Ge||0);if(Et){this.center=this.unproject(new e.Point(Le?(me+te)/2:gt.x,Ge?(ye+Y)/2:gt.y)),this.zoom+=this.scaleZoom(Et),this._unmodified=_r,this._constraining=!1;return}if(this.latRange){var Ft=gt.y,ir=jt.y/2;Ft-ir<Y&&(mt=Y+ir),Ft+ir>ye&&(mt=ye-ir)}if(this.lngRange){var fr=gt.x,sr=jt.x/2;fr-sr<te&&($e=te+sr),fr+sr>me&&($e=me-sr)}($e!==void 0||mt!==void 0)&&(this.center=this.unproject(new e.Point($e!==void 0?$e:gt.x,mt!==void 0?mt:gt.y))),this._unmodified=_r,this._constraining=!1}},es.prototype._calcMatrices=function(){if(this.height){var Y=this._fov/2,ye=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(Y)*this.height;var te=Math.PI/2+this._pitch,me=this._fov*(.5+ye.y/this.height),Ge=Math.sin(me)*this.cameraToCenterDistance/Math.sin(e.clamp(Math.PI-te-me,.01,Math.PI-.01)),Le=this.point,$e=Le.x,mt=Le.y,jt=Math.cos(Math.PI/2-this._pitch)*Ge+this.cameraToCenterDistance,_r=jt*1.01,Fr=this.height/50,hr=new Float64Array(16);e.perspective(hr,this._fov,this.width/this.height,Fr,_r),hr[8]=-ye.x*2/this.width,hr[9]=ye.y*2/this.height,e.scale(hr,hr,[1,-1,1]),e.translate(hr,hr,[0,0,-this.cameraToCenterDistance]),e.rotateX(hr,hr,this._pitch),e.rotateZ(hr,hr,this.angle),e.translate(hr,hr,[-$e,-mt,0]),this.mercatorMatrix=e.scale([],hr,[this.worldSize,this.worldSize,this.worldSize]),e.scale(hr,hr,[1,1,e.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=hr,this.invProjMatrix=e.invert([],this.projMatrix);var gt=this.width%2/2,Et=this.height%2/2,Ft=Math.cos(this.angle),ir=Math.sin(this.angle),fr=$e-Math.round($e)+Ft*gt+ir*Et,sr=mt-Math.round(mt)+Ft*Et+ir*gt,pr=new Float64Array(hr);if(e.translate(pr,pr,[fr>.5?fr-1:fr,sr>.5?sr-1:sr,0]),this.alignedProjMatrix=pr,hr=e.create(),e.scale(hr,hr,[this.width/2,-this.height/2,1]),e.translate(hr,hr,[1,-1,0]),this.labelPlaneMatrix=hr,hr=e.create(),e.scale(hr,hr,[1,-1,1]),e.translate(hr,hr,[-1,-1,0]),e.scale(hr,hr,[2/this.width,2/this.height,1]),this.glCoordMatrix=hr,this.pixelMatrix=e.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),hr=e.invert(new Float64Array(16),this.pixelMatrix),!hr)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=hr,this._posMatrixCache={},this._alignedPosMatrixCache={}}},es.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var Y=this.pointCoordinate(new e.Point(0,0)),ye=[Y.x*this.worldSize,Y.y*this.worldSize,0,1],te=e.transformMat4(ye,ye,this.pixelMatrix);return te[3]/this.cameraToCenterDistance},es.prototype.getCameraPoint=function(){var Y=this._pitch,ye=Math.tan(Y)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new e.Point(0,ye))},es.prototype.getCameraQueryGeometry=function(Y){var ye=this.getCameraPoint();if(Y.length===1)return[Y[0],ye];for(var te=ye.x,me=ye.y,Ge=ye.x,Le=ye.y,$e=0,mt=Y;$e<mt.length;$e+=1){var jt=mt[$e];te=Math.min(te,jt.x),me=Math.min(me,jt.y),Ge=Math.max(Ge,jt.x),Le=Math.max(Le,jt.y)}return[new e.Point(te,me),new e.Point(Ge,me),new e.Point(Ge,Le),new e.Point(te,Le),new e.Point(te,me)]},Object.defineProperties(es.prototype,ts);function Pl(ve,Y){var ye=!1,te=null,me=function(){te=null,ye&&(ve(),te=setTimeout(me,Y),ye=!1)};return function(){return ye=!0,te||me(),te}}var $l=function(Y){this._hashName=Y&&encodeURIComponent(Y),e.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=Pl(this._updateHashUnthrottled.bind(this),30*1e3/100)};$l.prototype.addTo=function(Y){return this._map=Y,e.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},$l.prototype.remove=function(){return e.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},$l.prototype.getHashString=function(Y){var ye=this._map.getCenter(),te=Math.round(this._map.getZoom()*100)/100,me=Math.ceil((te*Math.LN2+Math.log(512/360/.5))/Math.LN10),Ge=Math.pow(10,me),Le=Math.round(ye.lng*Ge)/Ge,$e=Math.round(ye.lat*Ge)/Ge,mt=this._map.getBearing(),jt=this._map.getPitch(),_r=\"\";if(Y?_r+=\"/\"+Le+\"/\"+$e+\"/\"+te:_r+=te+\"/\"+$e+\"/\"+Le,(mt||jt)&&(_r+=\"/\"+Math.round(mt*10)/10),jt&&(_r+=\"/\"+Math.round(jt)),this._hashName){var Fr=this._hashName,hr=!1,gt=e.window.location.hash.slice(1).split(\"&\").map(function(Et){var Ft=Et.split(\"=\")[0];return Ft===Fr?(hr=!0,Ft+\"=\"+_r):Et}).filter(function(Et){return Et});return hr||gt.push(Fr+\"=\"+_r),\"#\"+gt.join(\"&\")}return\"#\"+_r},$l.prototype._getCurrentHash=function(){var Y=this,ye=e.window.location.hash.replace(\"#\",\"\");if(this._hashName){var te;return ye.split(\"&\").map(function(me){return me.split(\"=\")}).forEach(function(me){me[0]===Y._hashName&&(te=me)}),(te&&te[1]||\"\").split(\"/\")}return ye.split(\"/\")},$l.prototype._onHashChange=function(){var Y=this._getCurrentHash();if(Y.length>=3&&!Y.some(function(te){return isNaN(te)})){var ye=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(Y[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+Y[2],+Y[1]],zoom:+Y[0],bearing:ye,pitch:+(Y[4]||0)}),!0}return!1},$l.prototype._updateHashUnthrottled=function(){var Y=e.window.location.href.replace(/(#.+)?$/,this.getHashString());try{e.window.history.replaceState(e.window.history.state,null,Y)}catch{}};var Ru={linearity:.3,easing:e.bezier(0,0,.3,1)},hu=e.extend({deceleration:2500,maxSpeed:1400},Ru),wl=e.extend({deceleration:20,maxSpeed:1400},Ru),su=e.extend({deceleration:1e3,maxSpeed:360},Ru),uc=e.extend({deceleration:1e3,maxSpeed:90},Ru),ql=function(Y){this._map=Y,this.clear()};ql.prototype.clear=function(){this._inertiaBuffer=[]},ql.prototype.record=function(Y){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:e.browser.now(),settings:Y})},ql.prototype._drainInertiaBuffer=function(){for(var Y=this._inertiaBuffer,ye=e.browser.now(),te=160;Y.length>0&&ye-Y[0].time>te;)Y.shift()},ql.prototype._onMoveEnd=function(Y){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var ye={zoom:0,bearing:0,pitch:0,pan:new e.Point(0,0),pinchAround:void 0,around:void 0},te=0,me=this._inertiaBuffer;te<me.length;te+=1){var Ge=me[te],Le=Ge.settings;ye.zoom+=Le.zoomDelta||0,ye.bearing+=Le.bearingDelta||0,ye.pitch+=Le.pitchDelta||0,Le.panDelta&&ye.pan._add(Le.panDelta),Le.around&&(ye.around=Le.around),Le.pinchAround&&(ye.pinchAround=Le.pinchAround)}var $e=this._inertiaBuffer[this._inertiaBuffer.length-1],mt=$e.time-this._inertiaBuffer[0].time,jt={};if(ye.pan.mag()){var _r=de(ye.pan.mag(),mt,e.extend({},hu,Y||{}));jt.offset=ye.pan.mult(_r.amount/ye.pan.mag()),jt.center=this._map.transform.center,Vl(jt,_r)}if(ye.zoom){var Fr=de(ye.zoom,mt,wl);jt.zoom=this._map.transform.zoom+Fr.amount,Vl(jt,Fr)}if(ye.bearing){var hr=de(ye.bearing,mt,su);jt.bearing=this._map.transform.bearing+e.clamp(hr.amount,-179,179),Vl(jt,hr)}if(ye.pitch){var gt=de(ye.pitch,mt,uc);jt.pitch=this._map.transform.pitch+gt.amount,Vl(jt,gt)}if(jt.zoom||jt.bearing){var Et=ye.pinchAround===void 0?ye.around:ye.pinchAround;jt.around=Et?this._map.unproject(Et):this._map.getCenter()}return this.clear(),e.extend(jt,{noMoveStart:!0})}};function Vl(ve,Y){(!ve.duration||ve.duration<Y.duration)&&(ve.duration=Y.duration,ve.easing=Y.easing)}function de(ve,Y,ye){var te=ye.maxSpeed,me=ye.linearity,Ge=ye.deceleration,Le=e.clamp(ve*me/(Y/1e3),-te,te),$e=Math.abs(Le)/(Ge*me);return{easing:ye.easing,duration:$e*1e3,amount:Le*($e/2)}}var De=function(ve){function Y(te,me,Ge,Le){Le===void 0&&(Le={});var $e=r.mousePos(me.getCanvasContainer(),Ge),mt=me.unproject($e);ve.call(this,te,e.extend({point:$e,lngLat:mt,originalEvent:Ge},Le)),this._defaultPrevented=!1,this.target=me}ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y;var ye={defaultPrevented:{configurable:!0}};return Y.prototype.preventDefault=function(){this._defaultPrevented=!0},ye.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(Y.prototype,ye),Y}(e.Event),et=function(ve){function Y(te,me,Ge){var Le=te===\"touchend\"?Ge.changedTouches:Ge.touches,$e=r.touchPos(me.getCanvasContainer(),Le),mt=$e.map(function(Fr){return me.unproject(Fr)}),jt=$e.reduce(function(Fr,hr,gt,Et){return Fr.add(hr.div(Et.length))},new e.Point(0,0)),_r=me.unproject(jt);ve.call(this,te,{points:$e,point:jt,lngLats:mt,lngLat:_r,originalEvent:Ge}),this._defaultPrevented=!1}ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y;var ye={defaultPrevented:{configurable:!0}};return Y.prototype.preventDefault=function(){this._defaultPrevented=!0},ye.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(Y.prototype,ye),Y}(e.Event),vt=function(ve){function Y(te,me,Ge){ve.call(this,te,{originalEvent:Ge}),this._defaultPrevented=!1}ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y;var ye={defaultPrevented:{configurable:!0}};return Y.prototype.preventDefault=function(){this._defaultPrevented=!0},ye.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(Y.prototype,ye),Y}(e.Event),_t=function(Y,ye){this._map=Y,this._clickTolerance=ye.clickTolerance};_t.prototype.reset=function(){delete this._mousedownPos},_t.prototype.wheel=function(Y){return this._firePreventable(new vt(Y.type,this._map,Y))},_t.prototype.mousedown=function(Y,ye){return this._mousedownPos=ye,this._firePreventable(new De(Y.type,this._map,Y))},_t.prototype.mouseup=function(Y){this._map.fire(new De(Y.type,this._map,Y))},_t.prototype.click=function(Y,ye){this._mousedownPos&&this._mousedownPos.dist(ye)>=this._clickTolerance||this._map.fire(new De(Y.type,this._map,Y))},_t.prototype.dblclick=function(Y){return this._firePreventable(new De(Y.type,this._map,Y))},_t.prototype.mouseover=function(Y){this._map.fire(new De(Y.type,this._map,Y))},_t.prototype.mouseout=function(Y){this._map.fire(new De(Y.type,this._map,Y))},_t.prototype.touchstart=function(Y){return this._firePreventable(new et(Y.type,this._map,Y))},_t.prototype.touchmove=function(Y){this._map.fire(new et(Y.type,this._map,Y))},_t.prototype.touchend=function(Y){this._map.fire(new et(Y.type,this._map,Y))},_t.prototype.touchcancel=function(Y){this._map.fire(new et(Y.type,this._map,Y))},_t.prototype._firePreventable=function(Y){if(this._map.fire(Y),Y.defaultPrevented)return{}},_t.prototype.isEnabled=function(){return!0},_t.prototype.isActive=function(){return!1},_t.prototype.enable=function(){},_t.prototype.disable=function(){};var St=function(Y){this._map=Y};St.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},St.prototype.mousemove=function(Y){this._map.fire(new De(Y.type,this._map,Y))},St.prototype.mousedown=function(){this._delayContextMenu=!0},St.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new De(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},St.prototype.contextmenu=function(Y){this._delayContextMenu?this._contextMenuEvent=Y:this._map.fire(new De(Y.type,this._map,Y)),this._map.listens(\"contextmenu\")&&Y.preventDefault()},St.prototype.isEnabled=function(){return!0},St.prototype.isActive=function(){return!1},St.prototype.enable=function(){},St.prototype.disable=function(){};var ar=function(Y,ye){this._map=Y,this._el=Y.getCanvasContainer(),this._container=Y.getContainer(),this._clickTolerance=ye.clickTolerance||1};ar.prototype.isEnabled=function(){return!!this._enabled},ar.prototype.isActive=function(){return!!this._active},ar.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},ar.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ar.prototype.mousedown=function(Y,ye){this.isEnabled()&&Y.shiftKey&&Y.button===0&&(r.disableDrag(),this._startPos=this._lastPos=ye,this._active=!0)},ar.prototype.mousemoveWindow=function(Y,ye){if(this._active){var te=ye;if(!(this._lastPos.equals(te)||!this._box&&te.dist(this._startPos)<this._clickTolerance)){var me=this._startPos;this._lastPos=te,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",Y));var Ge=Math.min(me.x,te.x),Le=Math.max(me.x,te.x),$e=Math.min(me.y,te.y),mt=Math.max(me.y,te.y);r.setTransform(this._box,\"translate(\"+Ge+\"px,\"+$e+\"px)\"),this._box.style.width=Le-Ge+\"px\",this._box.style.height=mt-$e+\"px\"}}},ar.prototype.mouseupWindow=function(Y,ye){var te=this;if(this._active&&Y.button===0){var me=this._startPos,Ge=ye;if(this.reset(),r.suppressClick(),me.x===Ge.x&&me.y===Ge.y)this._fireEvent(\"boxzoomcancel\",Y);else return this._map.fire(new e.Event(\"boxzoomend\",{originalEvent:Y})),{cameraAnimation:function(Le){return Le.fitScreenCoordinates(me,Ge,te._map.getBearing(),{linear:!0})}}}},ar.prototype.keydown=function(Y){this._active&&Y.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",Y))},ar.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},ar.prototype._fireEvent=function(Y,ye){return this._map.fire(new e.Event(Y,{originalEvent:ye}))};function zt(ve,Y){for(var ye={},te=0;te<ve.length;te++)ye[ve[te].identifier]=Y[te];return ye}function gr(ve){for(var Y=new e.Point(0,0),ye=0,te=ve;ye<te.length;ye+=1){var me=te[ye];Y._add(me)}return Y.div(ve.length)}var Vr=500,Wr=500,Ta=30,ya=function(Y){this.reset(),this.numTouches=Y.numTouches};ya.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},ya.prototype.touchstart=function(Y,ye,te){(this.centroid||te.length>this.numTouches)&&(this.aborted=!0),!this.aborted&&(this.startTime===void 0&&(this.startTime=Y.timeStamp),te.length===this.numTouches&&(this.centroid=gr(ye),this.touches=zt(te,ye)))},ya.prototype.touchmove=function(Y,ye,te){if(!(this.aborted||!this.centroid)){var me=zt(te,ye);for(var Ge in this.touches){var Le=this.touches[Ge],$e=me[Ge];(!$e||$e.dist(Le)>Ta)&&(this.aborted=!0)}}},ya.prototype.touchend=function(Y,ye,te){if((!this.centroid||Y.timeStamp-this.startTime>Wr)&&(this.aborted=!0),te.length===0){var me=!this.aborted&&this.centroid;if(this.reset(),me)return me}};var ri=function(Y){this.singleTap=new ya(Y),this.numTaps=Y.numTaps,this.reset()};ri.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},ri.prototype.touchstart=function(Y,ye,te){this.singleTap.touchstart(Y,ye,te)},ri.prototype.touchmove=function(Y,ye,te){this.singleTap.touchmove(Y,ye,te)},ri.prototype.touchend=function(Y,ye,te){var me=this.singleTap.touchend(Y,ye,te);if(me){var Ge=Y.timeStamp-this.lastTime<Vr,Le=!this.lastTap||this.lastTap.dist(me)<Ta;if((!Ge||!Le)&&this.reset(),this.count++,this.lastTime=Y.timeStamp,this.lastTap=me,this.count===this.numTaps)return this.reset(),me}};var ni=function(){this._zoomIn=new ri({numTouches:1,numTaps:2}),this._zoomOut=new ri({numTouches:2,numTaps:1}),this.reset()};ni.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},ni.prototype.touchstart=function(Y,ye,te){this._zoomIn.touchstart(Y,ye,te),this._zoomOut.touchstart(Y,ye,te)},ni.prototype.touchmove=function(Y,ye,te){this._zoomIn.touchmove(Y,ye,te),this._zoomOut.touchmove(Y,ye,te)},ni.prototype.touchend=function(Y,ye,te){var me=this,Ge=this._zoomIn.touchend(Y,ye,te),Le=this._zoomOut.touchend(Y,ye,te);if(Ge)return this._active=!0,Y.preventDefault(),setTimeout(function(){return me.reset()},0),{cameraAnimation:function($e){return $e.easeTo({duration:300,zoom:$e.getZoom()+1,around:$e.unproject(Ge)},{originalEvent:Y})}};if(Le)return this._active=!0,Y.preventDefault(),setTimeout(function(){return me.reset()},0),{cameraAnimation:function($e){return $e.easeTo({duration:300,zoom:$e.getZoom()-1,around:$e.unproject(Le)},{originalEvent:Y})}}},ni.prototype.touchcancel=function(){this.reset()},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var Ma=0,Na=2,Ka={};Ka[Ma]=1,Ka[Na]=2;function vi(ve,Y){var ye=Ka[Y];return ve.buttons===void 0||(ve.buttons&ye)!==ye}var ui=function(Y){this.reset(),this._clickTolerance=Y.clickTolerance||1};ui.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},ui.prototype._correctButton=function(Y,ye){return!1},ui.prototype._move=function(Y,ye){return{}},ui.prototype.mousedown=function(Y,ye){if(!this._lastPoint){var te=r.mouseButton(Y);this._correctButton(Y,te)&&(this._lastPoint=ye,this._eventButton=te)}},ui.prototype.mousemoveWindow=function(Y,ye){var te=this._lastPoint;if(te){if(Y.preventDefault(),vi(Y,this._eventButton)){this.reset();return}if(!(!this._moved&&ye.dist(te)<this._clickTolerance))return this._moved=!0,this._lastPoint=ye,this._move(te,ye)}},ui.prototype.mouseupWindow=function(Y){if(this._lastPoint){var ye=r.mouseButton(Y);ye===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var Pa=function(ve){function Y(){ve.apply(this,arguments)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.mousedown=function(te,me){ve.prototype.mousedown.call(this,te,me),this._lastPoint&&(this._active=!0)},Y.prototype._correctButton=function(te,me){return me===Ma&&!te.ctrlKey},Y.prototype._move=function(te,me){return{around:me,panDelta:me.sub(te)}},Y}(ui),sn=function(ve){function Y(){ve.apply(this,arguments)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype._correctButton=function(te,me){return me===Ma&&te.ctrlKey||me===Na},Y.prototype._move=function(te,me){var Ge=.8,Le=(me.x-te.x)*Ge;if(Le)return this._active=!0,{bearingDelta:Le}},Y.prototype.contextmenu=function(te){te.preventDefault()},Y}(ui),an=function(ve){function Y(){ve.apply(this,arguments)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype._correctButton=function(te,me){return me===Ma&&te.ctrlKey||me===Na},Y.prototype._move=function(te,me){var Ge=-.5,Le=(me.y-te.y)*Ge;if(Le)return this._active=!0,{pitchDelta:Le}},Y.prototype.contextmenu=function(te){te.preventDefault()},Y}(ui),vn=function(Y){this._minTouches=1,this._clickTolerance=Y.clickTolerance||1,this.reset()};vn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new e.Point(0,0)},vn.prototype.touchstart=function(Y,ye,te){return this._calculateTransform(Y,ye,te)},vn.prototype.touchmove=function(Y,ye,te){if(!(!this._active||te.length<this._minTouches))return Y.preventDefault(),this._calculateTransform(Y,ye,te)},vn.prototype.touchend=function(Y,ye,te){this._calculateTransform(Y,ye,te),this._active&&te.length<this._minTouches&&this.reset()},vn.prototype.touchcancel=function(){this.reset()},vn.prototype._calculateTransform=function(Y,ye,te){te.length>0&&(this._active=!0);var me=zt(te,ye),Ge=new e.Point(0,0),Le=new e.Point(0,0),$e=0;for(var mt in me){var jt=me[mt],_r=this._touches[mt];_r&&(Ge._add(jt),Le._add(jt.sub(_r)),$e++,me[mt]=jt)}if(this._touches=me,!($e<this._minTouches||!Le.mag())){var Fr=Le.div($e);if(this._sum._add(Fr),!(this._sum.mag()<this._clickTolerance)){var hr=Ge.div($e);return{around:hr,panDelta:Fr}}}},vn.prototype.enable=function(){this._enabled=!0},vn.prototype.disable=function(){this._enabled=!1,this.reset()},vn.prototype.isEnabled=function(){return this._enabled},vn.prototype.isActive=function(){return this._active};var Pn=function(){this.reset()};Pn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Pn.prototype._start=function(Y){},Pn.prototype._move=function(Y,ye,te){return{}},Pn.prototype.touchstart=function(Y,ye,te){this._firstTwoTouches||te.length<2||(this._firstTwoTouches=[te[0].identifier,te[1].identifier],this._start([ye[0],ye[1]]))},Pn.prototype.touchmove=function(Y,ye,te){if(this._firstTwoTouches){Y.preventDefault();var me=this._firstTwoTouches,Ge=me[0],Le=me[1],$e=Zn(te,ye,Ge),mt=Zn(te,ye,Le);if(!(!$e||!mt)){var jt=this._aroundCenter?null:$e.add(mt).div(2);return this._move([$e,mt],jt,Y)}}},Pn.prototype.touchend=function(Y,ye,te){if(this._firstTwoTouches){var me=this._firstTwoTouches,Ge=me[0],Le=me[1],$e=Zn(te,ye,Ge),mt=Zn(te,ye,Le);$e&&mt||(this._active&&r.suppressClick(),this.reset())}},Pn.prototype.touchcancel=function(){this.reset()},Pn.prototype.enable=function(Y){this._enabled=!0,this._aroundCenter=!!Y&&Y.around===\"center\"},Pn.prototype.disable=function(){this._enabled=!1,this.reset()},Pn.prototype.isEnabled=function(){return this._enabled},Pn.prototype.isActive=function(){return this._active};function Zn(ve,Y,ye){for(var te=0;te<ve.length;te++)if(ve[te].identifier===ye)return Y[te]}var eo=.1;function $o(ve,Y){return Math.log(ve/Y)/Math.LN2}var io=function(ve){function Y(){ve.apply(this,arguments)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.reset=function(){ve.prototype.reset.call(this),delete this._distance,delete this._startDistance},Y.prototype._start=function(te){this._startDistance=this._distance=te[0].dist(te[1])},Y.prototype._move=function(te,me){var Ge=this._distance;if(this._distance=te[0].dist(te[1]),!(!this._active&&Math.abs($o(this._distance,this._startDistance))<eo))return this._active=!0,{zoomDelta:$o(this._distance,Ge),pinchAround:me}},Y}(Pn),Zo=25;function ul(ve,Y){return ve.angleWith(Y)*180/Math.PI}var el=function(ve){function Y(){ve.apply(this,arguments)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.reset=function(){ve.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},Y.prototype._start=function(te){this._startVector=this._vector=te[0].sub(te[1]),this._minDiameter=te[0].dist(te[1])},Y.prototype._move=function(te,me){var Ge=this._vector;if(this._vector=te[0].sub(te[1]),!(!this._active&&this._isBelowThreshold(this._vector)))return this._active=!0,{bearingDelta:ul(this._vector,Ge),pinchAround:me}},Y.prototype._isBelowThreshold=function(te){this._minDiameter=Math.min(this._minDiameter,te.mag());var me=Math.PI*this._minDiameter,Ge=Zo/me*360,Le=ul(te,this._startVector);return Math.abs(Le)<Ge},Y}(Pn);function _l(ve){return Math.abs(ve.y)>Math.abs(ve.x)}var gn=100,vo=function(ve){function Y(){ve.apply(this,arguments)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.reset=function(){ve.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},Y.prototype._start=function(te){this._lastPoints=te,_l(te[0].sub(te[1]))&&(this._valid=!1)},Y.prototype._move=function(te,me,Ge){var Le=te[0].sub(this._lastPoints[0]),$e=te[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(Le,$e,Ge.timeStamp),!!this._valid){this._lastPoints=te,this._active=!0;var mt=(Le.y+$e.y)/2,jt=-.5;return{pitchDelta:mt*jt}}},Y.prototype.gestureBeginsVertically=function(te,me,Ge){if(this._valid!==void 0)return this._valid;var Le=2,$e=te.mag()>=Le,mt=me.mag()>=Le;if(!(!$e&&!mt)){if(!$e||!mt)return this._firstMove===void 0&&(this._firstMove=Ge),Ge-this._firstMove<gn?void 0:!1;var jt=te.y>0==me.y>0;return _l(te)&&_l(me)&&jt}},Y}(Pn),cs={panStep:100,bearingStep:15,pitchStep:10},ps=function(){var Y=cs;this._panStep=Y.panStep,this._bearingStep=Y.bearingStep,this._pitchStep=Y.pitchStep,this._rotationDisabled=!1};ps.prototype.reset=function(){this._active=!1},ps.prototype.keydown=function(Y){var ye=this;if(!(Y.altKey||Y.ctrlKey||Y.metaKey)){var te=0,me=0,Ge=0,Le=0,$e=0;switch(Y.keyCode){case 61:case 107:case 171:case 187:te=1;break;case 189:case 109:case 173:te=-1;break;case 37:Y.shiftKey?me=-1:(Y.preventDefault(),Le=-1);break;case 39:Y.shiftKey?me=1:(Y.preventDefault(),Le=1);break;case 38:Y.shiftKey?Ge=1:(Y.preventDefault(),$e=-1);break;case 40:Y.shiftKey?Ge=-1:(Y.preventDefault(),$e=1);break;default:return}return this._rotationDisabled&&(me=0,Ge=0),{cameraAnimation:function(mt){var jt=mt.getZoom();mt.easeTo({duration:300,easeId:\"keyboardHandler\",easing:Tl,zoom:te?Math.round(jt)+te*(Y.shiftKey?2:1):jt,bearing:mt.getBearing()+me*ye._bearingStep,pitch:mt.getPitch()+Ge*ye._pitchStep,offset:[-Le*ye._panStep,-$e*ye._panStep],center:mt.getCenter()},{originalEvent:Y})}}}},ps.prototype.enable=function(){this._enabled=!0},ps.prototype.disable=function(){this._enabled=!1,this.reset()},ps.prototype.isEnabled=function(){return this._enabled},ps.prototype.isActive=function(){return this._active},ps.prototype.disableRotation=function(){this._rotationDisabled=!0},ps.prototype.enableRotation=function(){this._rotationDisabled=!1};function Tl(ve){return ve*(2-ve)}var Gl=4.000244140625,Tu=1/100,Il=1/450,yc=2,nt=function(Y,ye){this._map=Y,this._el=Y.getCanvasContainer(),this._handler=ye,this._delta=0,this._defaultZoomRate=Tu,this._wheelZoomRate=Il,e.bindAll([\"_onTimeout\"],this)};nt.prototype.setZoomRate=function(Y){this._defaultZoomRate=Y},nt.prototype.setWheelZoomRate=function(Y){this._wheelZoomRate=Y},nt.prototype.isEnabled=function(){return!!this._enabled},nt.prototype.isActive=function(){return!!this._active||this._finishTimeout!==void 0},nt.prototype.isZooming=function(){return!!this._zooming},nt.prototype.enable=function(Y){this.isEnabled()||(this._enabled=!0,this._aroundCenter=Y&&Y.around===\"center\")},nt.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},nt.prototype.wheel=function(Y){if(this.isEnabled()){var ye=Y.deltaMode===e.window.WheelEvent.DOM_DELTA_LINE?Y.deltaY*40:Y.deltaY,te=e.browser.now(),me=te-(this._lastWheelEventTime||0);this._lastWheelEventTime=te,ye!==0&&ye%Gl===0?this._type=\"wheel\":ye!==0&&Math.abs(ye)<4?this._type=\"trackpad\":me>400?(this._type=null,this._lastValue=ye,this._timeout=setTimeout(this._onTimeout,40,Y)):this._type||(this._type=Math.abs(me*ye)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,ye+=this._lastValue)),Y.shiftKey&&ye&&(ye=ye/4),this._type&&(this._lastWheelEvent=Y,this._delta-=ye,this._active||this._start(Y)),Y.preventDefault()}},nt.prototype._onTimeout=function(Y){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(Y)},nt.prototype._start=function(Y){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var ye=r.mousePos(this._el,Y);this._around=e.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(ye)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},nt.prototype.renderFrame=function(){var Y=this;if(this._frameId&&(this._frameId=null,!!this.isActive())){var ye=this._map.transform;if(this._delta!==0){var te=this._type===\"wheel\"&&Math.abs(this._delta)>Gl?this._wheelZoomRate:this._defaultZoomRate,me=yc/(1+Math.exp(-Math.abs(this._delta*te)));this._delta<0&&me!==0&&(me=1/me);var Ge=typeof this._targetZoom==\"number\"?ye.zoomScale(this._targetZoom):ye.scale;this._targetZoom=Math.min(ye.maxZoom,Math.max(ye.minZoom,ye.scaleZoom(Ge*me))),this._type===\"wheel\"&&(this._startZoom=ye.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var Le=typeof this._targetZoom==\"number\"?this._targetZoom:ye.zoom,$e=this._startZoom,mt=this._easing,jt=!1,_r;if(this._type===\"wheel\"&&$e&&mt){var Fr=Math.min((e.browser.now()-this._lastWheelEventTime)/200,1),hr=mt(Fr);_r=e.number($e,Le,hr),Fr<1?this._frameId||(this._frameId=!0):jt=!0}else _r=Le,jt=!0;return this._active=!0,jt&&(this._active=!1,this._finishTimeout=setTimeout(function(){Y._zooming=!1,Y._handler._triggerRenderFrame(),delete Y._targetZoom,delete Y._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!jt,zoomDelta:_r-ye.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},nt.prototype._smoothOutEasing=function(Y){var ye=e.ease;if(this._prevEase){var te=this._prevEase,me=(e.browser.now()-te.start)/te.duration,Ge=te.easing(me+.01)-te.easing(me),Le=.27/Math.sqrt(Ge*Ge+1e-4)*.01,$e=Math.sqrt(.27*.27-Le*Le);ye=e.bezier(Le,$e,.25,1)}return this._prevEase={start:e.browser.now(),duration:Y,easing:ye},ye},nt.prototype.reset=function(){this._active=!1};var Yt=function(Y,ye){this._clickZoom=Y,this._tapZoom=ye};Yt.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},Yt.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},Yt.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},Yt.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var cr=function(){this.reset()};cr.prototype.reset=function(){this._active=!1},cr.prototype.dblclick=function(Y,ye){return Y.preventDefault(),{cameraAnimation:function(te){te.easeTo({duration:300,zoom:te.getZoom()+(Y.shiftKey?-1:1),around:te.unproject(ye)},{originalEvent:Y})}}},cr.prototype.enable=function(){this._enabled=!0},cr.prototype.disable=function(){this._enabled=!1,this.reset()},cr.prototype.isEnabled=function(){return this._enabled},cr.prototype.isActive=function(){return this._active};var ua=function(){this._tap=new ri({numTouches:1,numTaps:1}),this.reset()};ua.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},ua.prototype.touchstart=function(Y,ye,te){this._swipePoint||(this._tapTime&&Y.timeStamp-this._tapTime>Vr&&this.reset(),this._tapTime?te.length>0&&(this._swipePoint=ye[0],this._swipeTouch=te[0].identifier):this._tap.touchstart(Y,ye,te))},ua.prototype.touchmove=function(Y,ye,te){if(!this._tapTime)this._tap.touchmove(Y,ye,te);else if(this._swipePoint){if(te[0].identifier!==this._swipeTouch)return;var me=ye[0],Ge=me.y-this._swipePoint.y;return this._swipePoint=me,Y.preventDefault(),this._active=!0,{zoomDelta:Ge/128}}},ua.prototype.touchend=function(Y,ye,te){if(this._tapTime)this._swipePoint&&te.length===0&&this.reset();else{var me=this._tap.touchend(Y,ye,te);me&&(this._tapTime=Y.timeStamp)}},ua.prototype.touchcancel=function(){this.reset()},ua.prototype.enable=function(){this._enabled=!0},ua.prototype.disable=function(){this._enabled=!1,this.reset()},ua.prototype.isEnabled=function(){return this._enabled},ua.prototype.isActive=function(){return this._active};var Aa=function(Y,ye,te){this._el=Y,this._mousePan=ye,this._touchPan=te};Aa.prototype.enable=function(Y){this._inertiaOptions=Y||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},Aa.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},Aa.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},Aa.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xa=function(Y,ye,te){this._pitchWithRotate=Y.pitchWithRotate,this._mouseRotate=ye,this._mousePitch=te};xa.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xa.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xa.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xa.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wa=function(Y,ye,te,me){this._el=Y,this._touchZoom=ye,this._touchRotate=te,this._tapDragZoom=me,this._rotationDisabled=!1,this._enabled=!0};wa.prototype.enable=function(Y){this._touchZoom.enable(Y),this._rotationDisabled||this._touchRotate.enable(Y),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wa.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wa.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wa.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wa.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wa.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ja=function(ve){return ve.zoom||ve.drag||ve.pitch||ve.rotate},Ai=function(ve){function Y(){ve.apply(this,arguments)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y}(e.Event);function bi(ve){return ve.panDelta&&ve.panDelta.mag()||ve.zoomDelta||ve.bearingDelta||ve.pitchDelta}var fi=function(Y,ye){this._map=Y,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new ql(Y),this._bearingSnap=ye.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(ye),e.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var te=this._el;this._listeners=[[te,\"touchstart\",{passive:!0}],[te,\"touchmove\",{passive:!1}],[te,\"touchend\",void 0],[te,\"touchcancel\",void 0],[te,\"mousedown\",void 0],[te,\"mousemove\",void 0],[te,\"mouseup\",void 0],[e.window.document,\"mousemove\",{capture:!0}],[e.window.document,\"mouseup\",void 0],[te,\"mouseover\",void 0],[te,\"mouseout\",void 0],[te,\"dblclick\",void 0],[te,\"click\",void 0],[te,\"keydown\",{capture:!1}],[te,\"keyup\",void 0],[te,\"wheel\",{passive:!1}],[te,\"contextmenu\",void 0],[e.window,\"blur\",void 0]];for(var me=0,Ge=this._listeners;me<Ge.length;me+=1){var Le=Ge[me],$e=Le[0],mt=Le[1],jt=Le[2];r.addEventListener($e,mt,$e===e.window.document?this.handleWindowEvent:this.handleEvent,jt)}};fi.prototype.destroy=function(){for(var Y=0,ye=this._listeners;Y<ye.length;Y+=1){var te=ye[Y],me=te[0],Ge=te[1],Le=te[2];r.removeEventListener(me,Ge,me===e.window.document?this.handleWindowEvent:this.handleEvent,Le)}},fi.prototype._addDefaultHandlers=function(Y){var ye=this._map,te=ye.getCanvasContainer();this._add(\"mapEvent\",new _t(ye,Y));var me=ye.boxZoom=new ar(ye,Y);this._add(\"boxZoom\",me);var Ge=new ni,Le=new cr;ye.doubleClickZoom=new Yt(Le,Ge),this._add(\"tapZoom\",Ge),this._add(\"clickZoom\",Le);var $e=new ua;this._add(\"tapDragZoom\",$e);var mt=ye.touchPitch=new vo;this._add(\"touchPitch\",mt);var jt=new sn(Y),_r=new an(Y);ye.dragRotate=new xa(Y,jt,_r),this._add(\"mouseRotate\",jt,[\"mousePitch\"]),this._add(\"mousePitch\",_r,[\"mouseRotate\"]);var Fr=new Pa(Y),hr=new vn(Y);ye.dragPan=new Aa(te,Fr,hr),this._add(\"mousePan\",Fr),this._add(\"touchPan\",hr,[\"touchZoom\",\"touchRotate\"]);var gt=new el,Et=new io;ye.touchZoomRotate=new wa(te,Et,gt,$e),this._add(\"touchRotate\",gt,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",Et,[\"touchPan\",\"touchRotate\"]);var Ft=ye.scrollZoom=new nt(ye,this);this._add(\"scrollZoom\",Ft,[\"mousePan\"]);var ir=ye.keyboard=new ps;this._add(\"keyboard\",ir),this._add(\"blockableMapEvent\",new St(ye));for(var fr=0,sr=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];fr<sr.length;fr+=1){var pr=sr[fr];Y.interactive&&Y[pr]&&ye[pr].enable(Y[pr])}},fi.prototype._add=function(Y,ye,te){this._handlers.push({handlerName:Y,handler:ye,allowed:te}),this._handlersById[Y]=ye},fi.prototype.stop=function(Y){if(!this._updatingCamera){for(var ye=0,te=this._handlers;ye<te.length;ye+=1){var me=te[ye],Ge=me.handler;Ge.reset()}this._inertia.clear(),this._fireEvents({},{},Y),this._changes=[]}},fi.prototype.isActive=function(){for(var Y=0,ye=this._handlers;Y<ye.length;Y+=1){var te=ye[Y],me=te.handler;if(me.isActive())return!0}return!1},fi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},fi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},fi.prototype.isMoving=function(){return!!Ja(this._eventsInProgress)||this.isZooming()},fi.prototype._blockedByActive=function(Y,ye,te){for(var me in Y)if(me!==te&&(!ye||ye.indexOf(me)<0))return!0;return!1},fi.prototype.handleWindowEvent=function(Y){this.handleEvent(Y,Y.type+\"Window\")},fi.prototype._getMapTouches=function(Y){for(var ye=[],te=0,me=Y;te<me.length;te+=1){var Ge=me[te],Le=Ge.target;this._el.contains(Le)&&ye.push(Ge)}return ye},fi.prototype.handleEvent=function(Y,ye){if(Y.type===\"blur\"){this.stop(!0);return}this._updatingCamera=!0;for(var te=Y.type===\"renderFrame\"?void 0:Y,me={needsRenderFrame:!1},Ge={},Le={},$e=Y.touches?this._getMapTouches(Y.touches):void 0,mt=$e?r.touchPos(this._el,$e):r.mousePos(this._el,Y),jt=0,_r=this._handlers;jt<_r.length;jt+=1){var Fr=_r[jt],hr=Fr.handlerName,gt=Fr.handler,Et=Fr.allowed;if(gt.isEnabled()){var Ft=void 0;this._blockedByActive(Le,Et,hr)?gt.reset():gt[ye||Y.type]&&(Ft=gt[ye||Y.type](Y,mt,$e),this.mergeHandlerResult(me,Ge,Ft,hr,te),Ft&&Ft.needsRenderFrame&&this._triggerRenderFrame()),(Ft||gt.isActive())&&(Le[hr]=gt)}}var ir={};for(var fr in this._previousActiveHandlers)Le[fr]||(ir[fr]=te);this._previousActiveHandlers=Le,(Object.keys(ir).length||bi(me))&&(this._changes.push([me,Ge,ir]),this._triggerRenderFrame()),(Object.keys(Le).length||bi(me))&&this._map._stop(!0),this._updatingCamera=!1;var sr=me.cameraAnimation;sr&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],sr(this._map))},fi.prototype.mergeHandlerResult=function(Y,ye,te,me,Ge){if(te){e.extend(Y,te);var Le={handlerName:me,originalEvent:te.originalEvent||Ge};te.zoomDelta!==void 0&&(ye.zoom=Le),te.panDelta!==void 0&&(ye.drag=Le),te.pitchDelta!==void 0&&(ye.pitch=Le),te.bearingDelta!==void 0&&(ye.rotate=Le)}},fi.prototype._applyChanges=function(){for(var Y={},ye={},te={},me=0,Ge=this._changes;me<Ge.length;me+=1){var Le=Ge[me],$e=Le[0],mt=Le[1],jt=Le[2];$e.panDelta&&(Y.panDelta=(Y.panDelta||new e.Point(0,0))._add($e.panDelta)),$e.zoomDelta&&(Y.zoomDelta=(Y.zoomDelta||0)+$e.zoomDelta),$e.bearingDelta&&(Y.bearingDelta=(Y.bearingDelta||0)+$e.bearingDelta),$e.pitchDelta&&(Y.pitchDelta=(Y.pitchDelta||0)+$e.pitchDelta),$e.around!==void 0&&(Y.around=$e.around),$e.pinchAround!==void 0&&(Y.pinchAround=$e.pinchAround),$e.noInertia&&(Y.noInertia=$e.noInertia),e.extend(ye,mt),e.extend(te,jt)}this._updateMapTransform(Y,ye,te),this._changes=[]},fi.prototype._updateMapTransform=function(Y,ye,te){var me=this._map,Ge=me.transform;if(!bi(Y))return this._fireEvents(ye,te,!0);var Le=Y.panDelta,$e=Y.zoomDelta,mt=Y.bearingDelta,jt=Y.pitchDelta,_r=Y.around,Fr=Y.pinchAround;Fr!==void 0&&(_r=Fr),me._stop(!0),_r=_r||me.transform.centerPoint;var hr=Ge.pointLocation(Le?_r.sub(Le):_r);mt&&(Ge.bearing+=mt),jt&&(Ge.pitch+=jt),$e&&(Ge.zoom+=$e),Ge.setLocationAtPoint(hr,_r),this._map._update(),Y.noInertia||this._inertia.record(Y),this._fireEvents(ye,te,!0)},fi.prototype._fireEvents=function(Y,ye,te){var me=this,Ge=Ja(this._eventsInProgress),Le=Ja(Y),$e={};for(var mt in Y){var jt=Y[mt],_r=jt.originalEvent;this._eventsInProgress[mt]||($e[mt+\"start\"]=_r),this._eventsInProgress[mt]=Y[mt]}!Ge&&Le&&this._fireEvent(\"movestart\",Le.originalEvent);for(var Fr in $e)this._fireEvent(Fr,$e[Fr]);Le&&this._fireEvent(\"move\",Le.originalEvent);for(var hr in Y){var gt=Y[hr],Et=gt.originalEvent;this._fireEvent(hr,Et)}var Ft={},ir;for(var fr in this._eventsInProgress){var sr=this._eventsInProgress[fr],pr=sr.handlerName,lr=sr.originalEvent;this._handlersById[pr].isActive()||(delete this._eventsInProgress[fr],ir=ye[pr]||lr,Ft[fr+\"end\"]=ir)}for(var Xt in Ft)this._fireEvent(Xt,Ft[Xt]);var or=Ja(this._eventsInProgress);if(te&&(Ge||Le)&&!or){this._updatingCamera=!0;var qt=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),Dr=function(Jr){return Jr!==0&&-me._bearingSnap<Jr&&Jr<me._bearingSnap};qt?(Dr(qt.bearing||this._map.getBearing())&&(qt.bearing=0),this._map.easeTo(qt,{originalEvent:ir})):(this._map.fire(new e.Event(\"moveend\",{originalEvent:ir})),Dr(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},fi.prototype._fireEvent=function(Y,ye){this._map.fire(new e.Event(Y,ye?{originalEvent:ye}:{}))},fi.prototype._requestFrame=function(){var Y=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add(function(ye){delete Y._frameId,Y.handleEvent(new Ai(\"renderFrame\",{timeStamp:ye})),Y._applyChanges()})},fi.prototype._triggerRenderFrame=function(){this._frameId===void 0&&(this._frameId=this._requestFrame())};var yn=function(ve){function Y(ye,te){ve.call(this),this._moving=!1,this._zooming=!1,this.transform=ye,this._bearingSnap=te.bearingSnap,e.bindAll([\"_renderFrameCallback\"],this)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.getCenter=function(){return new e.LngLat(this.transform.center.lng,this.transform.center.lat)},Y.prototype.setCenter=function(te,me){return this.jumpTo({center:te},me)},Y.prototype.panBy=function(te,me,Ge){return te=e.Point.convert(te).mult(-1),this.panTo(this.transform.center,e.extend({offset:te},me),Ge)},Y.prototype.panTo=function(te,me,Ge){return this.easeTo(e.extend({center:te},me),Ge)},Y.prototype.getZoom=function(){return this.transform.zoom},Y.prototype.setZoom=function(te,me){return this.jumpTo({zoom:te},me),this},Y.prototype.zoomTo=function(te,me,Ge){return this.easeTo(e.extend({zoom:te},me),Ge)},Y.prototype.zoomIn=function(te,me){return this.zoomTo(this.getZoom()+1,te,me),this},Y.prototype.zoomOut=function(te,me){return this.zoomTo(this.getZoom()-1,te,me),this},Y.prototype.getBearing=function(){return this.transform.bearing},Y.prototype.setBearing=function(te,me){return this.jumpTo({bearing:te},me),this},Y.prototype.getPadding=function(){return this.transform.padding},Y.prototype.setPadding=function(te,me){return this.jumpTo({padding:te},me),this},Y.prototype.rotateTo=function(te,me,Ge){return this.easeTo(e.extend({bearing:te},me),Ge)},Y.prototype.resetNorth=function(te,me){return this.rotateTo(0,e.extend({duration:1e3},te),me),this},Y.prototype.resetNorthPitch=function(te,me){return this.easeTo(e.extend({bearing:0,pitch:0,duration:1e3},te),me),this},Y.prototype.snapToNorth=function(te,me){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(te,me):this},Y.prototype.getPitch=function(){return this.transform.pitch},Y.prototype.setPitch=function(te,me){return this.jumpTo({pitch:te},me),this},Y.prototype.cameraForBounds=function(te,me){te=e.LngLatBounds.convert(te);var Ge=me&&me.bearing||0;return this._cameraForBoxAndBearing(te.getNorthWest(),te.getSouthEast(),Ge,me)},Y.prototype._cameraForBoxAndBearing=function(te,me,Ge,Le){var $e={top:0,bottom:0,right:0,left:0};if(Le=e.extend({padding:$e,offset:[0,0],maxZoom:this.transform.maxZoom},Le),typeof Le.padding==\"number\"){var mt=Le.padding;Le.padding={top:mt,bottom:mt,right:mt,left:mt}}Le.padding=e.extend($e,Le.padding);var jt=this.transform,_r=jt.padding,Fr=jt.project(e.LngLat.convert(te)),hr=jt.project(e.LngLat.convert(me)),gt=Fr.rotate(-Ge*Math.PI/180),Et=hr.rotate(-Ge*Math.PI/180),Ft=new e.Point(Math.max(gt.x,Et.x),Math.max(gt.y,Et.y)),ir=new e.Point(Math.min(gt.x,Et.x),Math.min(gt.y,Et.y)),fr=Ft.sub(ir),sr=(jt.width-(_r.left+_r.right+Le.padding.left+Le.padding.right))/fr.x,pr=(jt.height-(_r.top+_r.bottom+Le.padding.top+Le.padding.bottom))/fr.y;if(pr<0||sr<0){e.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");return}var lr=Math.min(jt.scaleZoom(jt.scale*Math.min(sr,pr)),Le.maxZoom),Xt=typeof Le.offset.x==\"number\"?new e.Point(Le.offset.x,Le.offset.y):e.Point.convert(Le.offset),or=(Le.padding.left-Le.padding.right)/2,qt=(Le.padding.top-Le.padding.bottom)/2,Dr=new e.Point(or,qt),Jr=Dr.rotate(Ge*Math.PI/180),ba=Xt.add(Jr),yi=ba.mult(jt.scale/jt.zoomScale(lr)),Xa=jt.unproject(Fr.add(hr).div(2).sub(yi));return{center:Xa,zoom:lr,bearing:Ge}},Y.prototype.fitBounds=function(te,me,Ge){return this._fitInternal(this.cameraForBounds(te,me),me,Ge)},Y.prototype.fitScreenCoordinates=function(te,me,Ge,Le,$e){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(e.Point.convert(te)),this.transform.pointLocation(e.Point.convert(me)),Ge,Le),Le,$e)},Y.prototype._fitInternal=function(te,me,Ge){return te?(me=e.extend(te,me),delete me.padding,me.linear?this.easeTo(me,Ge):this.flyTo(me,Ge)):this},Y.prototype.jumpTo=function(te,me){this.stop();var Ge=this.transform,Le=!1,$e=!1,mt=!1;return\"zoom\"in te&&Ge.zoom!==+te.zoom&&(Le=!0,Ge.zoom=+te.zoom),te.center!==void 0&&(Ge.center=e.LngLat.convert(te.center)),\"bearing\"in te&&Ge.bearing!==+te.bearing&&($e=!0,Ge.bearing=+te.bearing),\"pitch\"in te&&Ge.pitch!==+te.pitch&&(mt=!0,Ge.pitch=+te.pitch),te.padding!=null&&!Ge.isPaddingEqual(te.padding)&&(Ge.padding=te.padding),this.fire(new e.Event(\"movestart\",me)).fire(new e.Event(\"move\",me)),Le&&this.fire(new e.Event(\"zoomstart\",me)).fire(new e.Event(\"zoom\",me)).fire(new e.Event(\"zoomend\",me)),$e&&this.fire(new e.Event(\"rotatestart\",me)).fire(new e.Event(\"rotate\",me)).fire(new e.Event(\"rotateend\",me)),mt&&this.fire(new e.Event(\"pitchstart\",me)).fire(new e.Event(\"pitch\",me)).fire(new e.Event(\"pitchend\",me)),this.fire(new e.Event(\"moveend\",me))},Y.prototype.easeTo=function(te,me){var Ge=this;this._stop(!1,te.easeId),te=e.extend({offset:[0,0],duration:500,easing:e.ease},te),(te.animate===!1||!te.essential&&e.browser.prefersReducedMotion)&&(te.duration=0);var Le=this.transform,$e=this.getZoom(),mt=this.getBearing(),jt=this.getPitch(),_r=this.getPadding(),Fr=\"zoom\"in te?+te.zoom:$e,hr=\"bearing\"in te?this._normalizeBearing(te.bearing,mt):mt,gt=\"pitch\"in te?+te.pitch:jt,Et=\"padding\"in te?te.padding:Le.padding,Ft=e.Point.convert(te.offset),ir=Le.centerPoint.add(Ft),fr=Le.pointLocation(ir),sr=e.LngLat.convert(te.center||fr);this._normalizeCenter(sr);var pr=Le.project(fr),lr=Le.project(sr).sub(pr),Xt=Le.zoomScale(Fr-$e),or,qt;te.around&&(or=e.LngLat.convert(te.around),qt=Le.locationPoint(or));var Dr={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||Fr!==$e,this._rotating=this._rotating||mt!==hr,this._pitching=this._pitching||gt!==jt,this._padding=!Le.isPaddingEqual(Et),this._easeId=te.easeId,this._prepareEase(me,te.noMoveStart,Dr),this._ease(function(Jr){if(Ge._zooming&&(Le.zoom=e.number($e,Fr,Jr)),Ge._rotating&&(Le.bearing=e.number(mt,hr,Jr)),Ge._pitching&&(Le.pitch=e.number(jt,gt,Jr)),Ge._padding&&(Le.interpolatePadding(_r,Et,Jr),ir=Le.centerPoint.add(Ft)),or)Le.setLocationAtPoint(or,qt);else{var ba=Le.zoomScale(Le.zoom-$e),yi=Fr>$e?Math.min(2,Xt):Math.max(.5,Xt),Xa=Math.pow(yi,1-Jr),si=Le.unproject(pr.add(lr.mult(Jr*Xa)).mult(ba));Le.setLocationAtPoint(Le.renderWorldCopies?si.wrap():si,ir)}Ge._fireMoveEvents(me)},function(Jr){Ge._afterEase(me,Jr)},te),this},Y.prototype._prepareEase=function(te,me,Ge){Ge===void 0&&(Ge={}),this._moving=!0,!me&&!Ge.moving&&this.fire(new e.Event(\"movestart\",te)),this._zooming&&!Ge.zooming&&this.fire(new e.Event(\"zoomstart\",te)),this._rotating&&!Ge.rotating&&this.fire(new e.Event(\"rotatestart\",te)),this._pitching&&!Ge.pitching&&this.fire(new e.Event(\"pitchstart\",te))},Y.prototype._fireMoveEvents=function(te){this.fire(new e.Event(\"move\",te)),this._zooming&&this.fire(new e.Event(\"zoom\",te)),this._rotating&&this.fire(new e.Event(\"rotate\",te)),this._pitching&&this.fire(new e.Event(\"pitch\",te))},Y.prototype._afterEase=function(te,me){if(!(this._easeId&&me&&this._easeId===me)){delete this._easeId;var Ge=this._zooming,Le=this._rotating,$e=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,Ge&&this.fire(new e.Event(\"zoomend\",te)),Le&&this.fire(new e.Event(\"rotateend\",te)),$e&&this.fire(new e.Event(\"pitchend\",te)),this.fire(new e.Event(\"moveend\",te))}},Y.prototype.flyTo=function(te,me){var Ge=this;if(!te.essential&&e.browser.prefersReducedMotion){var Le=e.pick(te,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(Le,me)}this.stop(),te=e.extend({offset:[0,0],speed:1.2,curve:1.42,easing:e.ease},te);var $e=this.transform,mt=this.getZoom(),jt=this.getBearing(),_r=this.getPitch(),Fr=this.getPadding(),hr=\"zoom\"in te?e.clamp(+te.zoom,$e.minZoom,$e.maxZoom):mt,gt=\"bearing\"in te?this._normalizeBearing(te.bearing,jt):jt,Et=\"pitch\"in te?+te.pitch:_r,Ft=\"padding\"in te?te.padding:$e.padding,ir=$e.zoomScale(hr-mt),fr=e.Point.convert(te.offset),sr=$e.centerPoint.add(fr),pr=$e.pointLocation(sr),lr=e.LngLat.convert(te.center||pr);this._normalizeCenter(lr);var Xt=$e.project(pr),or=$e.project(lr).sub(Xt),qt=te.curve,Dr=Math.max($e.width,$e.height),Jr=Dr/ir,ba=or.mag();if(\"minZoom\"in te){var yi=e.clamp(Math.min(te.minZoom,mt,hr),$e.minZoom,$e.maxZoom),Xa=Dr/$e.zoomScale(yi-mt);qt=Math.sqrt(Xa/ba*2)}var si=qt*qt;function Ji(Fo){var bs=(Jr*Jr-Dr*Dr+(Fo?-1:1)*si*si*ba*ba)/(2*(Fo?Jr:Dr)*si*ba);return Math.log(Math.sqrt(bs*bs+1)-bs)}function Bi(Fo){return(Math.exp(Fo)-Math.exp(-Fo))/2}function pi(Fo){return(Math.exp(Fo)+Math.exp(-Fo))/2}function wi(Fo){return Bi(Fo)/pi(Fo)}var Mi=Ji(0),Vi=function(Fo){return pi(Mi)/pi(Mi+qt*Fo)},cn=function(Fo){return Dr*((pi(Mi)*wi(Mi+qt*Fo)-Bi(Mi))/si)/ba},xo=(Ji(1)-Mi)/qt;if(Math.abs(ba)<1e-6||!isFinite(xo)){if(Math.abs(Dr-Jr)<1e-6)return this.easeTo(te,me);var jo=Jr<Dr?-1:1;xo=Math.abs(Math.log(Jr/Dr))/qt,cn=function(){return 0},Vi=function(Fo){return Math.exp(jo*qt*Fo)}}if(\"duration\"in te)te.duration=+te.duration;else{var ks=\"screenSpeed\"in te?+te.screenSpeed/qt:+te.speed;te.duration=1e3*xo/ks}return te.maxDuration&&te.duration>te.maxDuration&&(te.duration=0),this._zooming=!0,this._rotating=jt!==gt,this._pitching=Et!==_r,this._padding=!$e.isPaddingEqual(Ft),this._prepareEase(me,!1),this._ease(function(Fo){var bs=Fo*xo,Hs=1/Vi(bs);$e.zoom=Fo===1?hr:mt+$e.scaleZoom(Hs),Ge._rotating&&($e.bearing=e.number(jt,gt,Fo)),Ge._pitching&&($e.pitch=e.number(_r,Et,Fo)),Ge._padding&&($e.interpolatePadding(Fr,Ft,Fo),sr=$e.centerPoint.add(fr));var pu=Fo===1?lr:$e.unproject(Xt.add(or.mult(cn(bs))).mult(Hs));$e.setLocationAtPoint($e.renderWorldCopies?pu.wrap():pu,sr),Ge._fireMoveEvents(me)},function(){return Ge._afterEase(me)},te),this},Y.prototype.isEasing=function(){return!!this._easeFrameId},Y.prototype.stop=function(){return this._stop()},Y.prototype._stop=function(te,me){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var Ge=this._onEaseEnd;delete this._onEaseEnd,Ge.call(this,me)}if(!te){var Le=this.handlers;Le&&Le.stop(!1)}return this},Y.prototype._ease=function(te,me,Ge){Ge.animate===!1||Ge.duration===0?(te(1),me()):(this._easeStart=e.browser.now(),this._easeOptions=Ge,this._onEaseFrame=te,this._onEaseEnd=me,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},Y.prototype._renderFrameCallback=function(){var te=Math.min((e.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(te)),te<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},Y.prototype._normalizeBearing=function(te,me){te=e.wrap(te,-180,180);var Ge=Math.abs(te-me);return Math.abs(te-360-me)<Ge&&(te-=360),Math.abs(te+360-me)<Ge&&(te+=360),te},Y.prototype._normalizeCenter=function(te){var me=this.transform;if(!(!me.renderWorldCopies||me.lngRange)){var Ge=te.lng-me.center.lng;te.lng+=Ge>180?-360:Ge<-180?360:0}},Y}(e.Evented),Oi=function(Y){Y===void 0&&(Y={}),this.options=Y,e.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Oi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Oi.prototype.onAdd=function(Y){var ye=this.options&&this.options.compact;return this._map=Y,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),ye&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),ye===void 0&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Oi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Oi.prototype._setElementTitle=function(Y,ye){var te=this._map._getUIString(\"AttributionControl.\"+ye);Y.title=te,Y.setAttribute(\"aria-label\",te)},Oi.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Oi.prototype._updateEditLink=function(){var Y=this._editLink;Y||(Y=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var ye=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||e.config.ACCESS_TOKEN}];if(Y){var te=ye.reduce(function(me,Ge,Le){return Ge.value&&(me+=Ge.key+\"=\"+Ge.value+(Le<ye.length-1?\"&\":\"\")),me},\"?\");Y.href=e.config.FEEDBACK_URL+\"/\"+te+(this._map._hash?this._map._hash.getHashString(!0):\"\"),Y.rel=\"noopener nofollow\",this._setElementTitle(Y,\"MapFeedback\")}},Oi.prototype._updateData=function(Y){Y&&(Y.sourceDataType===\"metadata\"||Y.sourceDataType===\"visibility\"||Y.dataType===\"style\")&&(this._updateAttributions(),this._updateEditLink())},Oi.prototype._updateAttributions=function(){if(this._map.style){var Y=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?Y=Y.concat(this.options.customAttribution.map(function(mt){return typeof mt!=\"string\"?\"\":mt})):typeof this.options.customAttribution==\"string\"&&Y.push(this.options.customAttribution)),this._map.style.stylesheet){var ye=this._map.style.stylesheet;this.styleOwner=ye.owner,this.styleId=ye.id}var te=this._map.style.sourceCaches;for(var me in te){var Ge=te[me];if(Ge.used){var Le=Ge.getSource();Le.attribution&&Y.indexOf(Le.attribution)<0&&Y.push(Le.attribution)}}Y.sort(function(mt,jt){return mt.length-jt.length}),Y=Y.filter(function(mt,jt){for(var _r=jt+1;_r<Y.length;_r++)if(Y[_r].indexOf(mt)>=0)return!1;return!0});var $e=Y.join(\" | \");$e!==this._attribHTML&&(this._attribHTML=$e,Y.length?(this._innerContainer.innerHTML=$e,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Oi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var ki=function(){e.bindAll([\"_updateLogo\"],this),e.bindAll([\"_updateCompact\"],this)};ki.prototype.onAdd=function(Y){this._map=Y,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var ye=r.create(\"a\",\"mapboxgl-ctrl-logo\");return ye.target=\"_blank\",ye.rel=\"noopener nofollow\",ye.href=\"https://www.mapbox.com/\",ye.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),ye.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(ye),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ki.prototype.getDefaultPosition=function(){return\"bottom-left\"},ki.prototype._updateLogo=function(Y){(!Y||Y.sourceDataType===\"metadata\")&&(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ki.prototype._logoRequired=function(){if(this._map.style){var Y=this._map.style.sourceCaches;for(var ye in Y){var te=Y[ye].getSource();if(te.mapbox_logo)return!0}return!1}},ki.prototype._updateCompact=function(){var Y=this._container.children;if(Y.length){var ye=Y[0];this._map.getCanvasContainer().offsetWidth<250?ye.classList.add(\"mapboxgl-compact\"):ye.classList.remove(\"mapboxgl-compact\")}};var qa=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};qa.prototype.add=function(Y){var ye=++this._id,te=this._queue;return te.push({callback:Y,id:ye,cancelled:!1}),ye},qa.prototype.remove=function(Y){for(var ye=this._currentlyRunning,te=ye?this._queue.concat(ye):this._queue,me=0,Ge=te;me<Ge.length;me+=1){var Le=Ge[me];if(Le.id===Y){Le.cancelled=!0;return}}},qa.prototype.run=function(Y){Y===void 0&&(Y=0);var ye=this._currentlyRunning=this._queue;this._queue=[];for(var te=0,me=ye;te<me.length;te+=1){var Ge=me[te];if(!Ge.cancelled&&(Ge.callback(Y),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},qa.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var ea={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Ea=e.window.HTMLImageElement,ii=e.window.HTMLElement,gi=e.window.ImageBitmap,Wa=-2,ji=22,Ii=0,hn=60,Za={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:Wa,maxZoom:ji,minPitch:Ii,maxPitch:hn,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Va=function(ve){function Y(te){var me=this;if(te=e.extend({},Za,te),te.minZoom!=null&&te.maxZoom!=null&&te.minZoom>te.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(te.minPitch!=null&&te.maxPitch!=null&&te.minPitch>te.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(te.minPitch!=null&&te.minPitch<Ii)throw new Error(\"minPitch must be greater than or equal to \"+Ii);if(te.maxPitch!=null&&te.maxPitch>hn)throw new Error(\"maxPitch must be less than or equal to \"+hn);var Ge=new es(te.minZoom,te.maxZoom,te.minPitch,te.maxPitch,te.renderWorldCopies);if(ve.call(this,Ge,te),this._interactive=te.interactive,this._maxTileCacheSize=te.maxTileCacheSize,this._failIfMajorPerformanceCaveat=te.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=te.preserveDrawingBuffer,this._antialias=te.antialias,this._trackResize=te.trackResize,this._bearingSnap=te.bearingSnap,this._refreshExpiredTiles=te.refreshExpiredTiles,this._fadeDuration=te.fadeDuration,this._crossSourceCollisions=te.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=te.collectResourceTiming,this._renderTaskQueue=new qa,this._controls=[],this._mapId=e.uniqueId(),this._locale=e.extend({},ea,te.locale),this._clickTolerance=te.clickTolerance,this._requestManager=new e.RequestManager(te.transformRequest,te.accessToken),typeof te.container==\"string\"){if(this._container=e.window.document.getElementById(te.container),!this._container)throw new Error(\"Container '\"+te.container+\"' not found.\")}else if(te.container instanceof ii)this._container=te.container;else throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");if(te.maxBounds&&this.setMaxBounds(te.maxBounds),e.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),this.painter===void 0)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return me._update(!1)}),this.on(\"moveend\",function(){return me._update(!1)}),this.on(\"zoom\",function(){return me._update(!0)}),typeof e.window<\"u\"&&(e.window.addEventListener(\"online\",this._onWindowOnline,!1),e.window.addEventListener(\"resize\",this._onWindowResize,!1),e.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new fi(this,te);var Le=typeof te.hash==\"string\"&&te.hash||void 0;this._hash=te.hash&&new $l(Le).addTo(this),(!this._hash||!this._hash._onHashChange())&&(this.jumpTo({center:te.center,zoom:te.zoom,bearing:te.bearing,pitch:te.pitch}),te.bounds&&(this.resize(),this.fitBounds(te.bounds,e.extend({},te.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=te.localIdeographFontFamily,te.style&&this.setStyle(te.style,{localIdeographFontFamily:te.localIdeographFontFamily}),te.attributionControl&&this.addControl(new Oi({customAttribution:te.customAttribution})),this.addControl(new ki,te.logoPosition),this.on(\"style.load\",function(){me.transform.unmodified&&me.jumpTo(me.style.stylesheet)}),this.on(\"data\",function($e){me._update($e.dataType===\"style\"),me.fire(new e.Event($e.dataType+\"data\",$e))}),this.on(\"dataloading\",function($e){me.fire(new e.Event($e.dataType+\"dataloading\",$e))})}ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y;var ye={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return Y.prototype._getMapId=function(){return this._mapId},Y.prototype.addControl=function(me,Ge){if(Ge===void 0&&(me.getDefaultPosition?Ge=me.getDefaultPosition():Ge=\"top-right\"),!me||!me.onAdd)return this.fire(new e.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var Le=me.onAdd(this);this._controls.push(me);var $e=this._controlPositions[Ge];return Ge.indexOf(\"bottom\")!==-1?$e.insertBefore(Le,$e.firstChild):$e.appendChild(Le),this},Y.prototype.removeControl=function(me){if(!me||!me.onRemove)return this.fire(new e.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var Ge=this._controls.indexOf(me);return Ge>-1&&this._controls.splice(Ge,1),me.onRemove(this),this},Y.prototype.hasControl=function(me){return this._controls.indexOf(me)>-1},Y.prototype.resize=function(me){var Ge=this._containerDimensions(),Le=Ge[0],$e=Ge[1];this._resizeCanvas(Le,$e),this.transform.resize(Le,$e),this.painter.resize(Le,$e);var mt=!this._moving;return mt&&(this.stop(),this.fire(new e.Event(\"movestart\",me)).fire(new e.Event(\"move\",me))),this.fire(new e.Event(\"resize\",me)),mt&&this.fire(new e.Event(\"moveend\",me)),this},Y.prototype.getBounds=function(){return this.transform.getBounds()},Y.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},Y.prototype.setMaxBounds=function(me){return this.transform.setMaxBounds(e.LngLatBounds.convert(me)),this._update()},Y.prototype.setMinZoom=function(me){if(me=me??Wa,me>=Wa&&me<=this.transform.maxZoom)return this.transform.minZoom=me,this._update(),this.getZoom()<me&&this.setZoom(me),this;throw new Error(\"minZoom must be between \"+Wa+\" and the current maxZoom, inclusive\")},Y.prototype.getMinZoom=function(){return this.transform.minZoom},Y.prototype.setMaxZoom=function(me){if(me=me??ji,me>=this.transform.minZoom)return this.transform.maxZoom=me,this._update(),this.getZoom()>me&&this.setZoom(me),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},Y.prototype.getMaxZoom=function(){return this.transform.maxZoom},Y.prototype.setMinPitch=function(me){if(me=me??Ii,me<Ii)throw new Error(\"minPitch must be greater than or equal to \"+Ii);if(me>=Ii&&me<=this.transform.maxPitch)return this.transform.minPitch=me,this._update(),this.getPitch()<me&&this.setPitch(me),this;throw new Error(\"minPitch must be between \"+Ii+\" and the current maxPitch, inclusive\")},Y.prototype.getMinPitch=function(){return this.transform.minPitch},Y.prototype.setMaxPitch=function(me){if(me=me??hn,me>hn)throw new Error(\"maxPitch must be less than or equal to \"+hn);if(me>=this.transform.minPitch)return this.transform.maxPitch=me,this._update(),this.getPitch()>me&&this.setPitch(me),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},Y.prototype.getMaxPitch=function(){return this.transform.maxPitch},Y.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},Y.prototype.setRenderWorldCopies=function(me){return this.transform.renderWorldCopies=me,this._update()},Y.prototype.project=function(me){return this.transform.locationPoint(e.LngLat.convert(me))},Y.prototype.unproject=function(me){return this.transform.pointLocation(e.Point.convert(me))},Y.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},Y.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},Y.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},Y.prototype._createDelegatedListener=function(me,Ge,Le){var $e=this,mt;if(me===\"mouseenter\"||me===\"mouseover\"){var jt=!1,_r=function(ir){var fr=$e.getLayer(Ge)?$e.queryRenderedFeatures(ir.point,{layers:[Ge]}):[];fr.length?jt||(jt=!0,Le.call($e,new De(me,$e,ir.originalEvent,{features:fr}))):jt=!1},Fr=function(){jt=!1};return{layer:Ge,listener:Le,delegates:{mousemove:_r,mouseout:Fr}}}else if(me===\"mouseleave\"||me===\"mouseout\"){var hr=!1,gt=function(ir){var fr=$e.getLayer(Ge)?$e.queryRenderedFeatures(ir.point,{layers:[Ge]}):[];fr.length?hr=!0:hr&&(hr=!1,Le.call($e,new De(me,$e,ir.originalEvent)))},Et=function(ir){hr&&(hr=!1,Le.call($e,new De(me,$e,ir.originalEvent)))};return{layer:Ge,listener:Le,delegates:{mousemove:gt,mouseout:Et}}}else{var Ft=function(ir){var fr=$e.getLayer(Ge)?$e.queryRenderedFeatures(ir.point,{layers:[Ge]}):[];fr.length&&(ir.features=fr,Le.call($e,ir),delete ir.features)};return{layer:Ge,listener:Le,delegates:(mt={},mt[me]=Ft,mt)}}},Y.prototype.on=function(me,Ge,Le){if(Le===void 0)return ve.prototype.on.call(this,me,Ge);var $e=this._createDelegatedListener(me,Ge,Le);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[me]=this._delegatedListeners[me]||[],this._delegatedListeners[me].push($e);for(var mt in $e.delegates)this.on(mt,$e.delegates[mt]);return this},Y.prototype.once=function(me,Ge,Le){if(Le===void 0)return ve.prototype.once.call(this,me,Ge);var $e=this._createDelegatedListener(me,Ge,Le);for(var mt in $e.delegates)this.once(mt,$e.delegates[mt]);return this},Y.prototype.off=function(me,Ge,Le){var $e=this;if(Le===void 0)return ve.prototype.off.call(this,me,Ge);var mt=function(jt){for(var _r=jt[me],Fr=0;Fr<_r.length;Fr++){var hr=_r[Fr];if(hr.layer===Ge&&hr.listener===Le){for(var gt in hr.delegates)$e.off(gt,hr.delegates[gt]);return _r.splice(Fr,1),$e}}};return this._delegatedListeners&&this._delegatedListeners[me]&&mt(this._delegatedListeners),this},Y.prototype.queryRenderedFeatures=function(me,Ge){if(!this.style)return[];Ge===void 0&&me!==void 0&&!(me instanceof e.Point)&&!Array.isArray(me)&&(Ge=me,me=void 0),Ge=Ge||{},me=me||[[0,0],[this.transform.width,this.transform.height]];var Le;if(me instanceof e.Point||typeof me[0]==\"number\")Le=[e.Point.convert(me)];else{var $e=e.Point.convert(me[0]),mt=e.Point.convert(me[1]);Le=[$e,new e.Point(mt.x,$e.y),mt,new e.Point($e.x,mt.y),$e]}return this.style.queryRenderedFeatures(Le,Ge,this.transform)},Y.prototype.querySourceFeatures=function(me,Ge){return this.style.querySourceFeatures(me,Ge)},Y.prototype.setStyle=function(me,Ge){return Ge=e.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},Ge),Ge.diff!==!1&&Ge.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&me?(this._diffStyle(me,Ge),this):(this._localIdeographFontFamily=Ge.localIdeographFontFamily,this._updateStyle(me,Ge))},Y.prototype._getUIString=function(me){var Ge=this._locale[me];if(Ge==null)throw new Error(\"Missing UI string '\"+me+\"'\");return Ge},Y.prototype._updateStyle=function(me,Ge){if(this.style&&(this.style.setEventedParent(null),this.style._remove()),me)this.style=new iu(this,Ge||{});else return delete this.style,this;return this.style.setEventedParent(this,{style:this.style}),typeof me==\"string\"?this.style.loadURL(me):this.style.loadJSON(me),this},Y.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new iu(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},Y.prototype._diffStyle=function(me,Ge){var Le=this;if(typeof me==\"string\"){var $e=this._requestManager.normalizeStyleURL(me),mt=this._requestManager.transformRequest($e,e.ResourceType.Style);e.getJSON(mt,function(jt,_r){jt?Le.fire(new e.ErrorEvent(jt)):_r&&Le._updateDiff(_r,Ge)})}else typeof me==\"object\"&&this._updateDiff(me,Ge)},Y.prototype._updateDiff=function(me,Ge){try{this.style.setState(me)&&this._update(!0)}catch(Le){e.warnOnce(\"Unable to perform style diff: \"+(Le.message||Le.error||Le)+\".  Rebuilding the style from scratch.\"),this._updateStyle(me,Ge)}},Y.prototype.getStyle=function(){if(this.style)return this.style.serialize()},Y.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():e.warnOnce(\"There is no style added to the map.\")},Y.prototype.addSource=function(me,Ge){return this._lazyInitEmptyStyle(),this.style.addSource(me,Ge),this._update(!0)},Y.prototype.isSourceLoaded=function(me){var Ge=this.style&&this.style.sourceCaches[me];if(Ge===void 0){this.fire(new e.ErrorEvent(new Error(\"There is no source with ID '\"+me+\"'\")));return}return Ge.loaded()},Y.prototype.areTilesLoaded=function(){var me=this.style&&this.style.sourceCaches;for(var Ge in me){var Le=me[Ge],$e=Le._tiles;for(var mt in $e){var jt=$e[mt];if(!(jt.state===\"loaded\"||jt.state===\"errored\"))return!1}}return!0},Y.prototype.addSourceType=function(me,Ge,Le){return this._lazyInitEmptyStyle(),this.style.addSourceType(me,Ge,Le)},Y.prototype.removeSource=function(me){return this.style.removeSource(me),this._update(!0)},Y.prototype.getSource=function(me){return this.style.getSource(me)},Y.prototype.addImage=function(me,Ge,Le){Le===void 0&&(Le={});var $e=Le.pixelRatio;$e===void 0&&($e=1);var mt=Le.sdf;mt===void 0&&(mt=!1);var jt=Le.stretchX,_r=Le.stretchY,Fr=Le.content;this._lazyInitEmptyStyle();var hr=0;if(Ge instanceof Ea||gi&&Ge instanceof gi){var gt=e.browser.getImageData(Ge),Et=gt.width,Ft=gt.height,ir=gt.data;this.style.addImage(me,{data:new e.RGBAImage({width:Et,height:Ft},ir),pixelRatio:$e,stretchX:jt,stretchY:_r,content:Fr,sdf:mt,version:hr})}else{if(Ge.width===void 0||Ge.height===void 0)return this.fire(new e.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var fr=Ge.width,sr=Ge.height,pr=Ge.data,lr=Ge;this.style.addImage(me,{data:new e.RGBAImage({width:fr,height:sr},new Uint8Array(pr)),pixelRatio:$e,stretchX:jt,stretchY:_r,content:Fr,sdf:mt,version:hr,userImage:lr}),lr.onAdd&&lr.onAdd(this,me)}},Y.prototype.updateImage=function(me,Ge){var Le=this.style.getImage(me);if(!Le)return this.fire(new e.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var $e=Ge instanceof Ea||gi&&Ge instanceof gi?e.browser.getImageData(Ge):Ge,mt=$e.width,jt=$e.height,_r=$e.data;if(mt===void 0||jt===void 0)return this.fire(new e.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(mt!==Le.data.width||jt!==Le.data.height)return this.fire(new e.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var Fr=!(Ge instanceof Ea||gi&&Ge instanceof gi);Le.data.replace(_r,Fr),this.style.updateImage(me,Le)},Y.prototype.hasImage=function(me){return me?!!this.style.getImage(me):(this.fire(new e.ErrorEvent(new Error(\"Missing required image id\"))),!1)},Y.prototype.removeImage=function(me){this.style.removeImage(me)},Y.prototype.loadImage=function(me,Ge){e.getImage(this._requestManager.transformRequest(me,e.ResourceType.Image),Ge)},Y.prototype.listImages=function(){return this.style.listImages()},Y.prototype.addLayer=function(me,Ge){return this._lazyInitEmptyStyle(),this.style.addLayer(me,Ge),this._update(!0)},Y.prototype.moveLayer=function(me,Ge){return this.style.moveLayer(me,Ge),this._update(!0)},Y.prototype.removeLayer=function(me){return this.style.removeLayer(me),this._update(!0)},Y.prototype.getLayer=function(me){return this.style.getLayer(me)},Y.prototype.setLayerZoomRange=function(me,Ge,Le){return this.style.setLayerZoomRange(me,Ge,Le),this._update(!0)},Y.prototype.setFilter=function(me,Ge,Le){return Le===void 0&&(Le={}),this.style.setFilter(me,Ge,Le),this._update(!0)},Y.prototype.getFilter=function(me){return this.style.getFilter(me)},Y.prototype.setPaintProperty=function(me,Ge,Le,$e){return $e===void 0&&($e={}),this.style.setPaintProperty(me,Ge,Le,$e),this._update(!0)},Y.prototype.getPaintProperty=function(me,Ge){return this.style.getPaintProperty(me,Ge)},Y.prototype.setLayoutProperty=function(me,Ge,Le,$e){return $e===void 0&&($e={}),this.style.setLayoutProperty(me,Ge,Le,$e),this._update(!0)},Y.prototype.getLayoutProperty=function(me,Ge){return this.style.getLayoutProperty(me,Ge)},Y.prototype.setLight=function(me,Ge){return Ge===void 0&&(Ge={}),this._lazyInitEmptyStyle(),this.style.setLight(me,Ge),this._update(!0)},Y.prototype.getLight=function(){return this.style.getLight()},Y.prototype.setFeatureState=function(me,Ge){return this.style.setFeatureState(me,Ge),this._update()},Y.prototype.removeFeatureState=function(me,Ge){return this.style.removeFeatureState(me,Ge),this._update()},Y.prototype.getFeatureState=function(me){return this.style.getFeatureState(me)},Y.prototype.getContainer=function(){return this._container},Y.prototype.getCanvasContainer=function(){return this._canvasContainer},Y.prototype.getCanvas=function(){return this._canvas},Y.prototype._containerDimensions=function(){var me=0,Ge=0;return this._container&&(me=this._container.clientWidth||400,Ge=this._container.clientHeight||300),[me,Ge]},Y.prototype._detectMissingCSS=function(){var me=e.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\");me!==\"rgb(250, 128, 114)\"&&e.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},Y.prototype._setupContainer=function(){var me=this._container;me.classList.add(\"mapboxgl-map\");var Ge=this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",me);Ge.style.visibility=\"hidden\",this._detectMissingCSS();var Le=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",me);this._interactive&&Le.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",Le),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var $e=this._containerDimensions();this._resizeCanvas($e[0],$e[1]);var mt=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",me),jt=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(_r){jt[_r]=r.create(\"div\",\"mapboxgl-ctrl-\"+_r,mt)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},Y.prototype._resizeCanvas=function(me,Ge){var Le=e.browser.devicePixelRatio||1;this._canvas.width=Le*me,this._canvas.height=Le*Ge,this._canvas.style.width=me+\"px\",this._canvas.style.height=Ge+\"px\"},Y.prototype._setupPainter=function(){var me=e.extend({},t.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),Ge=this._canvas.getContext(\"webgl\",me)||this._canvas.getContext(\"experimental-webgl\",me);if(!Ge){this.fire(new e.ErrorEvent(new Error(\"Failed to initialize WebGL\")));return}this.painter=new Ko(Ge,this.transform),e.webpSupported.testSupport(Ge)},Y.prototype._contextLost=function(me){me.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new e.Event(\"webglcontextlost\",{originalEvent:me}))},Y.prototype._contextRestored=function(me){this._setupPainter(),this.resize(),this._update(),this.fire(new e.Event(\"webglcontextrestored\",{originalEvent:me}))},Y.prototype._onMapScroll=function(me){if(me.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},Y.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},Y.prototype._update=function(me){return this.style?(this._styleDirty=this._styleDirty||me,this._sourcesDirty=!0,this.triggerRepaint(),this):this},Y.prototype._requestRenderFrame=function(me){return this._update(),this._renderTaskQueue.add(me)},Y.prototype._cancelRenderFrame=function(me){this._renderTaskQueue.remove(me)},Y.prototype._render=function(me){var Ge=this,Le,$e=0,mt=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(Le=mt.createQueryEXT(),mt.beginQueryEXT(mt.TIME_ELAPSED_EXT,Le),$e=e.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(me),!this._removed){var jt=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var _r=this.transform.zoom,Fr=e.browser.now();this.style.zoomHistory.update(_r,Fr);var hr=new e.EvaluationParameters(_r,{now:Fr,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),gt=hr.crossFadingFactor();(gt!==1||gt!==this._crossFadingFactor)&&(jt=!0,this._crossFadingFactor=gt),this.style.update(hr)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new e.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new e.Event(\"load\"))),this.style&&(this.style.hasTransitions()||jt)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var Et=e.browser.now()-$e;mt.endQueryEXT(mt.TIME_ELAPSED_EXT,Le),setTimeout(function(){var fr=mt.getQueryObjectEXT(Le,mt.QUERY_RESULT_EXT)/1e6;mt.deleteQueryEXT(Le),Ge.fire(new e.Event(\"gpu-timing-frame\",{cpuTime:Et,gpuTime:fr}))},50)}if(this.listens(\"gpu-timing-layer\")){var Ft=this.painter.collectGpuTimers();setTimeout(function(){var fr=Ge.painter.queryGpuTimers(Ft);Ge.fire(new e.Event(\"gpu-timing-layer\",{layerTimes:fr}))},50)}var ir=this._sourcesDirty||this._styleDirty||this._placementDirty;return ir||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new e.Event(\"idle\")),this._loaded&&!this._fullyLoaded&&!ir&&(this._fullyLoaded=!0),this}},Y.prototype.remove=function(){this._hash&&this._hash.remove();for(var me=0,Ge=this._controls;me<Ge.length;me+=1){var Le=Ge[me];Le.onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof e.window<\"u\"&&(e.window.removeEventListener(\"resize\",this._onWindowResize,!1),e.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),e.window.removeEventListener(\"online\",this._onWindowOnline,!1));var $e=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");$e&&$e.loseContext&&$e.loseContext(),$i(this._canvasContainer),$i(this._controlContainer),$i(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new e.Event(\"remove\"))},Y.prototype.triggerRepaint=function(){var me=this;this.style&&!this._frame&&(this._frame=e.browser.frame(function(Ge){me._frame=null,me._render(Ge)}))},Y.prototype._onWindowOnline=function(){this._update()},Y.prototype._onWindowResize=function(me){this._trackResize&&this.resize({originalEvent:me})._update()},ye.showTileBoundaries.get=function(){return!!this._showTileBoundaries},ye.showTileBoundaries.set=function(te){this._showTileBoundaries!==te&&(this._showTileBoundaries=te,this._update())},ye.showPadding.get=function(){return!!this._showPadding},ye.showPadding.set=function(te){this._showPadding!==te&&(this._showPadding=te,this._update())},ye.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},ye.showCollisionBoxes.set=function(te){this._showCollisionBoxes!==te&&(this._showCollisionBoxes=te,te?this.style._generateCollisionBoxes():this._update())},ye.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},ye.showOverdrawInspector.set=function(te){this._showOverdrawInspector!==te&&(this._showOverdrawInspector=te,this._update())},ye.repaint.get=function(){return!!this._repaint},ye.repaint.set=function(te){this._repaint!==te&&(this._repaint=te,this.triggerRepaint())},ye.vertices.get=function(){return!!this._vertices},ye.vertices.set=function(te){this._vertices=te,this._update()},Y.prototype._setCacheLimits=function(me,Ge){e.setCacheLimits(me,Ge)},ye.version.get=function(){return e.version},Object.defineProperties(Y.prototype,ye),Y}(yn);function $i(ve){ve.parentNode&&ve.parentNode.removeChild(ve)}var zi={showCompass:!0,showZoom:!0,visualizePitch:!1},Si=function(Y){var ye=this;this.options=e.extend({},zi,Y),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(te){return te.preventDefault()}),this.options.showZoom&&(e.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",function(te){return ye._map.zoomIn({},{originalEvent:te})}),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",function(te){return ye._map.zoomOut({},{originalEvent:te})}),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(e.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",function(te){ye.options.visualizePitch?ye._map.resetNorthPitch({},{originalEvent:te}):ye._map.resetNorth({},{originalEvent:te})}),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Si.prototype._updateZoomButtons=function(){var Y=this._map.getZoom(),ye=Y===this._map.getMaxZoom(),te=Y===this._map.getMinZoom();this._zoomInButton.disabled=ye,this._zoomOutButton.disabled=te,this._zoomInButton.setAttribute(\"aria-disabled\",ye.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",te.toString())},Si.prototype._rotateCompassArrow=function(){var Y=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=Y},Si.prototype.onAdd=function(Y){return this._map=Y,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ti(this._map,this._compass,this.options.visualizePitch)),this._container},Si.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Si.prototype._createButton=function(Y,ye){var te=r.create(\"button\",Y,this._container);return te.type=\"button\",te.addEventListener(\"click\",ye),te},Si.prototype._setButtonTitle=function(Y,ye){var te=this._map._getUIString(\"NavigationControl.\"+ye);Y.title=te,Y.setAttribute(\"aria-label\",te)};var Ti=function(Y,ye,te){te===void 0&&(te=!1),this._clickTolerance=10,this.element=ye,this.mouseRotate=new sn({clickTolerance:Y.dragRotate._mouseRotate._clickTolerance}),this.map=Y,te&&(this.mousePitch=new an({clickTolerance:Y.dragRotate._mousePitch._clickTolerance})),e.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(ye,\"mousedown\",this.mousedown),r.addEventListener(ye,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(ye,\"touchmove\",this.touchmove),r.addEventListener(ye,\"touchend\",this.touchend),r.addEventListener(ye,\"touchcancel\",this.reset)};Ti.prototype.down=function(Y,ye){this.mouseRotate.mousedown(Y,ye),this.mousePitch&&this.mousePitch.mousedown(Y,ye),r.disableDrag()},Ti.prototype.move=function(Y,ye){var te=this.map,me=this.mouseRotate.mousemoveWindow(Y,ye);if(me&&me.bearingDelta&&te.setBearing(te.getBearing()+me.bearingDelta),this.mousePitch){var Ge=this.mousePitch.mousemoveWindow(Y,ye);Ge&&Ge.pitchDelta&&te.setPitch(te.getPitch()+Ge.pitchDelta)}},Ti.prototype.off=function(){var Y=this.element;r.removeEventListener(Y,\"mousedown\",this.mousedown),r.removeEventListener(Y,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(Y,\"touchmove\",this.touchmove),r.removeEventListener(Y,\"touchend\",this.touchend),r.removeEventListener(Y,\"touchcancel\",this.reset),this.offTemp()},Ti.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(e.window,\"mousemove\",this.mousemove),r.removeEventListener(e.window,\"mouseup\",this.mouseup)},Ti.prototype.mousedown=function(Y){this.down(e.extend({},Y,{ctrlKey:!0,preventDefault:function(){return Y.preventDefault()}}),r.mousePos(this.element,Y)),r.addEventListener(e.window,\"mousemove\",this.mousemove),r.addEventListener(e.window,\"mouseup\",this.mouseup)},Ti.prototype.mousemove=function(Y){this.move(Y,r.mousePos(this.element,Y))},Ti.prototype.mouseup=function(Y){this.mouseRotate.mouseupWindow(Y),this.mousePitch&&this.mousePitch.mouseupWindow(Y),this.offTemp()},Ti.prototype.touchstart=function(Y){Y.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,Y.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return Y.preventDefault()}},this._startPos))},Ti.prototype.touchmove=function(Y){Y.targetTouches.length!==1?this.reset():(this._lastPos=r.touchPos(this.element,Y.targetTouches)[0],this.move({preventDefault:function(){return Y.preventDefault()}},this._lastPos))},Ti.prototype.touchend=function(Y){Y.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ti.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};function Ki(ve,Y,ye){if(ve=new e.LngLat(ve.lng,ve.lat),Y){var te=new e.LngLat(ve.lng-360,ve.lat),me=new e.LngLat(ve.lng+360,ve.lat),Ge=ye.locationPoint(ve).distSqr(Y);ye.locationPoint(te).distSqr(Y)<Ge?ve=te:ye.locationPoint(me).distSqr(Y)<Ge&&(ve=me)}for(;Math.abs(ve.lng-ye.center.lng)>180;){var Le=ye.locationPoint(ve);if(Le.x>=0&&Le.y>=0&&Le.x<=ye.width&&Le.y<=ye.height)break;ve.lng>ye.center.lng?ve.lng-=360:ve.lng+=360}return ve}var mn={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function In(ve,Y,ye){var te=ve.classList;for(var me in mn)te.remove(\"mapboxgl-\"+ye+\"-anchor-\"+me);te.add(\"mapboxgl-\"+ye+\"-anchor-\"+Y)}var Di=function(ve){function Y(ye,te){if(ve.call(this),(ye instanceof e.window.HTMLElement||te)&&(ye=e.extend({element:ye},te)),e.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=ye&&ye.anchor||\"center\",this._color=ye&&ye.color||\"#3FB1CE\",this._scale=ye&&ye.scale||1,this._draggable=ye&&ye.draggable||!1,this._clickTolerance=ye&&ye.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=ye&&ye.rotation||0,this._rotationAlignment=ye&&ye.rotationAlignment||\"auto\",this._pitchAlignment=ye&&ye.pitchAlignment&&ye.pitchAlignment!==\"auto\"?ye.pitchAlignment:this._rotationAlignment,!ye||!ye.element){this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var me=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),Ge=41,Le=27;me.setAttributeNS(null,\"display\",\"block\"),me.setAttributeNS(null,\"height\",Ge+\"px\"),me.setAttributeNS(null,\"width\",Le+\"px\"),me.setAttributeNS(null,\"viewBox\",\"0 0 \"+Le+\" \"+Ge);var $e=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");$e.setAttributeNS(null,\"stroke\",\"none\"),$e.setAttributeNS(null,\"stroke-width\",\"1\"),$e.setAttributeNS(null,\"fill\",\"none\"),$e.setAttributeNS(null,\"fill-rule\",\"evenodd\");var mt=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");mt.setAttributeNS(null,\"fill-rule\",\"nonzero\");var jt=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");jt.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),jt.setAttributeNS(null,\"fill\",\"#000000\");for(var _r=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}],Fr=0,hr=_r;Fr<hr.length;Fr+=1){var gt=hr[Fr],Et=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");Et.setAttributeNS(null,\"opacity\",\"0.04\"),Et.setAttributeNS(null,\"cx\",\"10.5\"),Et.setAttributeNS(null,\"cy\",\"5.80029008\"),Et.setAttributeNS(null,\"rx\",gt.rx),Et.setAttributeNS(null,\"ry\",gt.ry),jt.appendChild(Et)}var Ft=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ft.setAttributeNS(null,\"fill\",this._color);var ir=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");ir.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),Ft.appendChild(ir);var fr=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");fr.setAttributeNS(null,\"opacity\",\"0.25\"),fr.setAttributeNS(null,\"fill\",\"#000000\");var sr=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");sr.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),fr.appendChild(sr);var pr=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");pr.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),pr.setAttributeNS(null,\"fill\",\"#FFFFFF\");var lr=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");lr.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var Xt=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Xt.setAttributeNS(null,\"fill\",\"#000000\"),Xt.setAttributeNS(null,\"opacity\",\"0.25\"),Xt.setAttributeNS(null,\"cx\",\"5.5\"),Xt.setAttributeNS(null,\"cy\",\"5.5\"),Xt.setAttributeNS(null,\"r\",\"5.4999962\");var or=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");or.setAttributeNS(null,\"fill\",\"#FFFFFF\"),or.setAttributeNS(null,\"cx\",\"5.5\"),or.setAttributeNS(null,\"cy\",\"5.5\"),or.setAttributeNS(null,\"r\",\"5.4999962\"),lr.appendChild(Xt),lr.appendChild(or),mt.appendChild(jt),mt.appendChild(Ft),mt.appendChild(fr),mt.appendChild(pr),mt.appendChild(lr),me.appendChild(mt),me.setAttributeNS(null,\"height\",Ge*this._scale+\"px\"),me.setAttributeNS(null,\"width\",Le*this._scale+\"px\"),this._element.appendChild(me),this._offset=e.Point.convert(ye&&ye.offset||[0,-14])}else this._element=ye.element,this._offset=e.Point.convert(ye&&ye.offset||[0,0]);this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(qt){qt.preventDefault()}),this._element.addEventListener(\"mousedown\",function(qt){qt.preventDefault()}),In(this._element,this._anchor,\"marker\"),this._popup=null}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.addTo=function(te){return this.remove(),this._map=te,te.getCanvasContainer().appendChild(this._element),te.on(\"move\",this._update),te.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},Y.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},Y.prototype.getLngLat=function(){return this._lngLat},Y.prototype.setLngLat=function(te){return this._lngLat=e.LngLat.convert(te),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},Y.prototype.getElement=function(){return this._element},Y.prototype.setPopup=function(te){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),te){if(!(\"offset\"in te.options)){var me=38.1,Ge=13.5,Le=Math.sqrt(Math.pow(Ge,2)/2);te.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-me],\"bottom-left\":[Le,(me-Ge+Le)*-1],\"bottom-right\":[-Le,(me-Ge+Le)*-1],left:[Ge,(me-Ge)*-1],right:[-Ge,(me-Ge)*-1]}:this._offset}this._popup=te,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},Y.prototype._onKeyPress=function(te){var me=te.code,Ge=te.charCode||te.keyCode;(me===\"Space\"||me===\"Enter\"||Ge===32||Ge===13)&&this.togglePopup()},Y.prototype._onMapClick=function(te){var me=te.originalEvent.target,Ge=this._element;this._popup&&(me===Ge||Ge.contains(me))&&this.togglePopup()},Y.prototype.getPopup=function(){return this._popup},Y.prototype.togglePopup=function(){var te=this._popup;if(te)te.isOpen()?te.remove():te.addTo(this._map);else return this;return this},Y.prototype._update=function(te){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Ki(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var me=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?me=\"rotateZ(\"+this._rotation+\"deg)\":this._rotationAlignment===\"map\"&&(me=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var Ge=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?Ge=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(Ge=\"rotateX(\"+this._map.getPitch()+\"deg)\"),(!te||te.type===\"moveend\")&&(this._pos=this._pos.round()),r.setTransform(this._element,mn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+Ge+\" \"+me)}},Y.prototype.getOffset=function(){return this._offset},Y.prototype.setOffset=function(te){return this._offset=e.Point.convert(te),this._update(),this},Y.prototype._onMove=function(te){if(!this._isDragging){var me=this._clickTolerance||this._map._clickTolerance;this._isDragging=te.point.dist(this._pointerdownPos)>=me}this._isDragging&&(this._pos=te.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new e.Event(\"dragstart\"))),this.fire(new e.Event(\"drag\")))},Y.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new e.Event(\"dragend\")),this._state=\"inactive\"},Y.prototype._addDragHandler=function(te){this._element.contains(te.originalEvent.target)&&(te.preventDefault(),this._positionDelta=te.point.sub(this._pos).add(this._offset),this._pointerdownPos=te.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},Y.prototype.setDraggable=function(te){return this._draggable=!!te,this._map&&(te?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},Y.prototype.isDraggable=function(){return this._draggable},Y.prototype.setRotation=function(te){return this._rotation=te||0,this._update(),this},Y.prototype.getRotation=function(){return this._rotation},Y.prototype.setRotationAlignment=function(te){return this._rotationAlignment=te||\"auto\",this._update(),this},Y.prototype.getRotationAlignment=function(){return this._rotationAlignment},Y.prototype.setPitchAlignment=function(te){return this._pitchAlignment=te&&te!==\"auto\"?te:this._rotationAlignment,this._update(),this},Y.prototype.getPitchAlignment=function(){return this._pitchAlignment},Y}(e.Evented),nn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},En;function Rn(ve){En!==void 0?ve(En):e.window.navigator.permissions!==void 0?e.window.navigator.permissions.query({name:\"geolocation\"}).then(function(Y){En=Y.state!==\"denied\",ve(En)}):(En=!!e.window.navigator.geolocation,ve(En))}var Gn=0,Ps=!1,xl=function(ve){function Y(ye){ve.call(this),this.options=e.extend({},nn,ye),e.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.onAdd=function(te){return this._map=te,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),Rn(this._setupUI),this._container},Y.prototype.onRemove=function(){this._geolocationWatchID!==void 0&&(e.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Gn=0,Ps=!1},Y.prototype._isOutOfMapMaxBounds=function(te){var me=this._map.getMaxBounds(),Ge=te.coords;return me&&(Ge.longitude<me.getWest()||Ge.longitude>me.getEast()||Ge.latitude<me.getSouth()||Ge.latitude>me.getNorth())},Y.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break}},Y.prototype._onSuccess=function(te){if(this._map){if(this._isOutOfMapMaxBounds(te)){this._setErrorState(),this.fire(new e.Event(\"outofmaxbounds\",te)),this._updateMarker(),this._finish();return}if(this.options.trackUserLocation)switch(this._lastKnownPosition=te,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(te),(!this.options.trackUserLocation||this._watchState===\"ACTIVE_LOCK\")&&this._updateCamera(te),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new e.Event(\"geolocate\",te)),this._finish()}},Y.prototype._updateCamera=function(te){var me=new e.LngLat(te.coords.longitude,te.coords.latitude),Ge=te.coords.accuracy,Le=this._map.getBearing(),$e=e.extend({bearing:Le},this.options.fitBoundsOptions);this._map.fitBounds(me.toBounds(Ge),$e,{geolocateSource:!0})},Y.prototype._updateMarker=function(te){if(te){var me=new e.LngLat(te.coords.longitude,te.coords.latitude);this._accuracyCircleMarker.setLngLat(me).addTo(this._map),this._userLocationDotMarker.setLngLat(me).addTo(this._map),this._accuracy=te.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},Y.prototype._updateCircleRadius=function(){var te=this._map._container.clientHeight/2,me=this._map.unproject([0,te]),Ge=this._map.unproject([1,te]),Le=me.distanceTo(Ge),$e=Math.ceil(2*this._accuracy/Le);this._circleElement.style.width=$e+\"px\",this._circleElement.style.height=$e+\"px\"},Y.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},Y.prototype._onError=function(te){if(this._map){if(this.options.trackUserLocation)if(te.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var me=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=me,this._geolocateButton.setAttribute(\"aria-label\",me),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(te.code===3&&Ps)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new e.Event(\"error\",te)),this._finish()}},Y.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},Y.prototype._setupUI=function(te){var me=this;if(this._container.addEventListener(\"contextmenu\",function($e){return $e.preventDefault()}),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",te===!1){e.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var Ge=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=Ge,this._geolocateButton.setAttribute(\"aria-label\",Ge)}else{var Le=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=Le,this._geolocateButton.setAttribute(\"aria-label\",Le)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Di(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Di({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function($e){var mt=$e.originalEvent&&$e.originalEvent.type===\"resize\";!$e.geolocateSource&&me._watchState===\"ACTIVE_LOCK\"&&!mt&&(me._watchState=\"BACKGROUND\",me._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),me._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),me.fire(new e.Event(\"trackuserlocationend\")))})},Y.prototype.trigger=function(){if(!this._setup)return e.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new e.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Gn--,Ps=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new e.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new e.Event(\"trackuserlocationstart\"));break}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\");break}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Gn++;var te;Gn>1?(te={maximumAge:6e5,timeout:0},Ps=!0):(te=this.options.positionOptions,Ps=!1),this._geolocationWatchID=e.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,te)}}else e.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},Y.prototype._clearWatch=function(){e.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},Y}(e.Evented),ho={maxWidth:100,unit:\"metric\"},Hl=function(Y){this.options=e.extend({},ho,Y),e.bindAll([\"_onMove\",\"setUnit\"],this)};Hl.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hl.prototype._onMove=function(){fs(this._map,this._container,this.options)},Hl.prototype.onAdd=function(Y){return this._map=Y,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",Y.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hl.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hl.prototype.setUnit=function(Y){this.options.unit=Y,fs(this._map,this._container,this.options)};function fs(ve,Y,ye){var te=ye&&ye.maxWidth||100,me=ve._container.clientHeight/2,Ge=ve.unproject([0,me]),Le=ve.unproject([te,me]),$e=Ge.distanceTo(Le);if(ye&&ye.unit===\"imperial\"){var mt=3.2808*$e;if(mt>5280){var jt=mt/5280;Al(Y,te,jt,ve._getUIString(\"ScaleControl.Miles\"))}else Al(Y,te,mt,ve._getUIString(\"ScaleControl.Feet\"))}else if(ye&&ye.unit===\"nautical\"){var _r=$e/1852;Al(Y,te,_r,ve._getUIString(\"ScaleControl.NauticalMiles\"))}else $e>=1e3?Al(Y,te,$e/1e3,ve._getUIString(\"ScaleControl.Kilometers\")):Al(Y,te,$e,ve._getUIString(\"ScaleControl.Meters\"))}function Al(ve,Y,ye,te){var me=Ql(ye),Ge=me/ye;ve.style.width=Y*Ge+\"px\",ve.innerHTML=me+\"&nbsp;\"+te}function El(ve){var Y=Math.pow(10,Math.ceil(-Math.log(ve)/Math.LN10));return Math.round(ve*Y)/Y}function Ql(ve){var Y=Math.pow(10,(\"\"+Math.floor(ve)).length-1),ye=ve/Y;return ye=ye>=10?10:ye>=5?5:ye>=3?3:ye>=2?2:ye>=1?1:El(ye),Y*ye}var Fs=function(Y){this._fullscreen=!1,Y&&Y.container&&(Y.container instanceof e.window.HTMLElement?this._container=Y.container:e.warnOnce(\"Full screen control 'container' must be a DOM element.\")),e.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in e.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in e.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in e.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in e.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Fs.prototype.onAdd=function(Y){return this._map=Y,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",e.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Fs.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,e.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Fs.prototype._checkFullscreenSupport=function(){return!!(e.window.document.fullscreenEnabled||e.window.document.mozFullScreenEnabled||e.window.document.msFullscreenEnabled||e.window.document.webkitFullscreenEnabled)},Fs.prototype._setupUI=function(){var Y=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",Y).setAttribute(\"aria-hidden\",!0),Y.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),e.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Fs.prototype._updateTitle=function(){var Y=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",Y),this._fullscreenButton.title=Y},Fs.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Fs.prototype._isFullscreen=function(){return this._fullscreen},Fs.prototype._changeIcon=function(){var Y=e.window.document.fullscreenElement||e.window.document.mozFullScreenElement||e.window.document.webkitFullscreenElement||e.window.document.msFullscreenElement;Y===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Fs.prototype._onClickFullscreen=function(){this._isFullscreen()?e.window.document.exitFullscreen?e.window.document.exitFullscreen():e.window.document.mozCancelFullScreen?e.window.document.mozCancelFullScreen():e.window.document.msExitFullscreen?e.window.document.msExitFullscreen():e.window.document.webkitCancelFullScreen&&e.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var pl={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},bl=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),Hn=function(ve){function Y(ye){ve.call(this),this.options=e.extend(Object.create(pl),ye),e.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return ve&&(Y.__proto__=ve),Y.prototype=Object.create(ve&&ve.prototype),Y.prototype.constructor=Y,Y.prototype.addTo=function(te){return this._map&&this.remove(),this._map=te,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new e.Event(\"open\")),this},Y.prototype.isOpen=function(){return!!this._map},Y.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new e.Event(\"close\")),this},Y.prototype.getLngLat=function(){return this._lngLat},Y.prototype.setLngLat=function(te){return this._lngLat=e.LngLat.convert(te),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},Y.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},Y.prototype.getElement=function(){return this._container},Y.prototype.setText=function(te){return this.setDOMContent(e.window.document.createTextNode(te))},Y.prototype.setHTML=function(te){var me=e.window.document.createDocumentFragment(),Ge=e.window.document.createElement(\"body\"),Le;for(Ge.innerHTML=te;Le=Ge.firstChild,!!Le;)me.appendChild(Le);return this.setDOMContent(me)},Y.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},Y.prototype.setMaxWidth=function(te){return this.options.maxWidth=te,this._update(),this},Y.prototype.setDOMContent=function(te){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(te),this._createCloseButton(),this._update(),this._focusFirstElement(),this},Y.prototype.addClassName=function(te){this._container&&this._container.classList.add(te)},Y.prototype.removeClassName=function(te){this._container&&this._container.classList.remove(te)},Y.prototype.setOffset=function(te){return this.options.offset=te,this._update(),this},Y.prototype.toggleClassName=function(te){if(this._container)return this._container.classList.toggle(te)},Y.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},Y.prototype._onMouseUp=function(te){this._update(te.point)},Y.prototype._onMouseMove=function(te){this._update(te.point)},Y.prototype._onDrag=function(te){this._update(te.point)},Y.prototype._update=function(te){var me=this,Ge=this._lngLat||this._trackPointer;if(!(!this._map||!Ge||!this._content)&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach(function(gt){return me._container.classList.add(gt)}),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Ki(this._lngLat,this._pos,this._map.transform)),!(this._trackPointer&&!te))){var Le=this._pos=this._trackPointer&&te?te:this._map.project(this._lngLat),$e=this.options.anchor,mt=Cl(this.options.offset);if(!$e){var jt=this._container.offsetWidth,_r=this._container.offsetHeight,Fr;Le.y+mt.bottom.y<_r?Fr=[\"top\"]:Le.y>this._map.transform.height-_r?Fr=[\"bottom\"]:Fr=[],Le.x<jt/2?Fr.push(\"left\"):Le.x>this._map.transform.width-jt/2&&Fr.push(\"right\"),Fr.length===0?$e=\"bottom\":$e=Fr.join(\"-\")}var hr=Le.add(mt[$e]).round();r.setTransform(this._container,mn[$e]+\" translate(\"+hr.x+\"px,\"+hr.y+\"px)\"),In(this._container,$e,\"popup\")}},Y.prototype._focusFirstElement=function(){if(!(!this.options.focusAfterOpen||!this._container)){var te=this._container.querySelector(bl);te&&te.focus()}},Y.prototype._onClose=function(){this.remove()},Y}(e.Evented);function Cl(ve){if(ve)if(typeof ve==\"number\"){var Y=Math.round(Math.sqrt(.5*Math.pow(ve,2)));return{center:new e.Point(0,0),top:new e.Point(0,ve),\"top-left\":new e.Point(Y,Y),\"top-right\":new e.Point(-Y,Y),bottom:new e.Point(0,-ve),\"bottom-left\":new e.Point(Y,-Y),\"bottom-right\":new e.Point(-Y,-Y),left:new e.Point(ve,0),right:new e.Point(-ve,0)}}else if(ve instanceof e.Point||Array.isArray(ve)){var ye=e.Point.convert(ve);return{center:ye,top:ye,\"top-left\":ye,\"top-right\":ye,bottom:ye,\"bottom-left\":ye,\"bottom-right\":ye,left:ye,right:ye}}else return{center:e.Point.convert(ve.center||[0,0]),top:e.Point.convert(ve.top||[0,0]),\"top-left\":e.Point.convert(ve[\"top-left\"]||[0,0]),\"top-right\":e.Point.convert(ve[\"top-right\"]||[0,0]),bottom:e.Point.convert(ve.bottom||[0,0]),\"bottom-left\":e.Point.convert(ve[\"bottom-left\"]||[0,0]),\"bottom-right\":e.Point.convert(ve[\"bottom-right\"]||[0,0]),left:e.Point.convert(ve.left||[0,0]),right:e.Point.convert(ve.right||[0,0])};else return Cl(new e.Point(0,0))}var Lo={version:e.version,supported:t,setRTLTextPlugin:e.setRTLTextPlugin,getRTLTextPluginStatus:e.getRTLTextPluginStatus,Map:Va,NavigationControl:Si,GeolocateControl:xl,AttributionControl:Oi,ScaleControl:Hl,FullscreenControl:Fs,Popup:Hn,Marker:Di,Style:iu,LngLat:e.LngLat,LngLatBounds:e.LngLatBounds,Point:e.Point,MercatorCoordinate:e.MercatorCoordinate,Evented:e.Evented,config:e.config,prewarm:Nr,clearPrewarmedResources:Or,get accessToken(){return e.config.ACCESS_TOKEN},set accessToken(ve){e.config.ACCESS_TOKEN=ve},get baseApiUrl(){return e.config.API_URL},set baseApiUrl(ve){e.config.API_URL=ve},get workerCount(){return ai.workerCount},set workerCount(ve){ai.workerCount=ve},get maxParallelImageRequests(){return e.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(ve){e.config.MAX_PARALLEL_IMAGE_REQUESTS=ve},clearStorage:function(Y){e.clearTileCache(Y)},workerUrl:\"\"};return Lo}),A})}}),mV=Ze({\"src/plots/mapbox/layers.js\"(Z,q){\"use strict\";var d=ca(),x=fu().sanitizeHTML,A=M6(),M=am();function e(i,n){this.subplot=i,this.uid=i.uid+\"-\"+n,this.index=n,this.idSource=\"source-\"+this.uid,this.idLayer=M.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var t=e.prototype;t.update=function(n){this.visible?this.needsNewImage(n)?this.updateImage(n):this.needsNewSource(n)?(this.removeLayer(),this.updateSource(n),this.updateLayer(n)):this.needsNewLayer(n)?this.updateLayer(n):this.updateStyle(n):(this.updateSource(n),this.updateLayer(n)),this.visible=r(n)},t.needsNewImage=function(i){var n=this.subplot.map;return n.getSource(this.idSource)&&this.sourceType===\"image\"&&i.sourcetype===\"image\"&&(this.source!==i.source||JSON.stringify(this.coordinates)!==JSON.stringify(i.coordinates))},t.needsNewSource=function(i){return this.sourceType!==i.sourcetype||JSON.stringify(this.source)!==JSON.stringify(i.source)||this.layerType!==i.type},t.needsNewLayer=function(i){return this.layerType!==i.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},t.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},t.updateImage=function(i){var n=this.subplot.map;n.getSource(this.idSource).updateImage({url:i.source,coordinates:i.coordinates});var s=this.findFollowingMapboxLayerId(this.lookupBelow());s!==null&&this.subplot.map.moveLayer(this.idLayer,s)},t.updateSource=function(i){var n=this.subplot.map;if(n.getSource(this.idSource)&&n.removeSource(this.idSource),this.sourceType=i.sourcetype,this.source=i.source,!!r(i)){var s=a(i);n.addSource(this.idSource,s)}},t.findFollowingMapboxLayerId=function(i){if(i===\"traces\")for(var n=this.subplot.getMapLayers(),s=0;s<n.length;s++){var c=n[s].id;if(typeof c==\"string\"&&c.indexOf(M.traceLayerPrefix)===0){i=c;break}}return i},t.updateLayer=function(i){var n=this.subplot,s=o(i),c=this.lookupBelow(),f=this.findFollowingMapboxLayerId(c);this.removeLayer(),r(i)&&n.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":i.sourcelayer||\"\",type:i.type,minzoom:i.minzoom,maxzoom:i.maxzoom,layout:s.layout,paint:s.paint},f),this.layerType=i.type,this.below=c},t.updateStyle=function(i){if(r(i)){var n=o(i);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",n.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",n.paint)}},t.removeLayer=function(){var i=this.subplot.map;i.getLayer(this.idLayer)&&i.removeLayer(this.idLayer)},t.dispose=function(){var i=this.subplot.map;i.getLayer(this.idLayer)&&i.removeLayer(this.idLayer),i.getSource(this.idSource)&&i.removeSource(this.idSource)};function r(i){if(!i.visible)return!1;var n=i.source;if(Array.isArray(n)&&n.length>0){for(var s=0;s<n.length;s++)if(typeof n[s]!=\"string\"||n[s].length===0)return!1;return!0}return d.isPlainObject(n)||typeof n==\"string\"&&n.length>0}function o(i){var n={},s={};switch(i.type){case\"circle\":d.extendFlat(s,{\"circle-radius\":i.circle.radius,\"circle-color\":i.color,\"circle-opacity\":i.opacity});break;case\"line\":d.extendFlat(s,{\"line-width\":i.line.width,\"line-color\":i.color,\"line-opacity\":i.opacity,\"line-dasharray\":i.line.dash});break;case\"fill\":d.extendFlat(s,{\"fill-color\":i.color,\"fill-outline-color\":i.fill.outlinecolor,\"fill-opacity\":i.opacity});break;case\"symbol\":var c=i.symbol,f=A(c.textposition,c.iconsize);d.extendFlat(n,{\"icon-image\":c.icon+\"-15\",\"icon-size\":c.iconsize/10,\"text-field\":c.text,\"text-size\":c.textfont.size,\"text-anchor\":f.anchor,\"text-offset\":f.offset,\"symbol-placement\":c.placement}),d.extendFlat(s,{\"icon-color\":i.color,\"text-color\":c.textfont.color,\"text-opacity\":i.opacity});break;case\"raster\":d.extendFlat(s,{\"raster-fade-duration\":0,\"raster-opacity\":i.opacity});break}return{layout:n,paint:s}}function a(i){var n=i.sourcetype,s=i.source,c={type:n},f;return n===\"geojson\"?f=\"data\":n===\"vector\"?f=typeof s==\"string\"?\"url\":\"tiles\":n===\"raster\"?(f=\"tiles\",c.tileSize=256):n===\"image\"&&(f=\"url\",c.coordinates=i.coordinates),c[f]=s,i.sourceattribution&&(c.attribution=x(i.sourceattribution)),c}q.exports=function(n,s,c){var f=new e(n,s);return f.update(c),f}}}),gV=Ze({\"src/plots/mapbox/mapbox.js\"(Z,q){\"use strict\";var d=E6(),x=ca(),A=v0(),M=oo(),e=Wo(),t=Tp(),r=ef(),o=Jd(),a=o.drawMode,i=o.selectMode,n=Tf().prepSelect,s=Tf().clearOutline,c=Tf().clearSelectionsCache,f=Tf().selectOnClick,g=am(),v=mV();function T(y,b){this.id=b,this.gd=y;var p=y._fullLayout,u=y._context;this.container=p._glcontainer.node(),this.isStatic=u.staticPlot,this.uid=p._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(p),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var l=T.prototype;l.plot=function(y,b,p){var u=this,m=b[u.id];u.map&&m.accesstoken!==u.accessToken&&(u.map.remove(),u.map=null,u.styleObj=null,u.traceHash={},u.layerList=[]);var h;u.map?h=new Promise(function(P,L){u.updateMap(y,b,P,L)}):h=new Promise(function(P,L){u.createMap(y,b,P,L)}),p.push(h)},l.createMap=function(y,b,p,u){var m=this,h=b[m.id],P=m.styleObj=w(h.style,b);m.accessToken=h.accesstoken;var L=h.bounds,z=L?[[L.west,L.south],[L.east,L.north]]:null,F=m.map=new d.Map({container:m.div,style:P.style,center:E(h.center),zoom:h.zoom,bearing:h.bearing,pitch:h.pitch,maxBounds:z,interactive:!m.isStatic,preserveDrawingBuffer:m.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new d.AttributionControl({compact:!0}));F._canvas.style.left=\"0px\",F._canvas.style.top=\"0px\",m.rejectOnError(u),m.isStatic||m.initFx(y,b);var B=[];B.push(new Promise(function(O){F.once(\"load\",O)})),B=B.concat(A.fetchTraceGeoData(y)),Promise.all(B).then(function(){m.fillBelowLookup(y,b),m.updateData(y),m.updateLayout(b),m.resolveOnRender(p)}).catch(u)},l.updateMap=function(y,b,p,u){var m=this,h=m.map,P=b[this.id];m.rejectOnError(u);var L=[],z=w(P.style,b);JSON.stringify(m.styleObj)!==JSON.stringify(z)&&(m.styleObj=z,h.setStyle(z.style),m.traceHash={},L.push(new Promise(function(F){h.once(\"styledata\",F)}))),L=L.concat(A.fetchTraceGeoData(y)),Promise.all(L).then(function(){m.fillBelowLookup(y,b),m.updateData(y),m.updateLayout(b),m.resolveOnRender(p)}).catch(u)},l.fillBelowLookup=function(y,b){var p=b[this.id],u=p.layers,m,h,P=this.belowLookup={},L=!1;for(m=0;m<y.length;m++){var z=y[m][0].trace,F=z._module;typeof z.below==\"string\"?h=z.below:F.getBelow&&(h=F.getBelow(z,this)),h===\"\"&&(L=!0),P[\"trace-\"+z.uid]=h||\"\"}for(m=0;m<u.length;m++){var B=u[m];typeof B.below==\"string\"?h=B.below:L?h=\"traces\":h=\"\",P[\"layout-\"+m]=h}var O={},I,N;for(I in P)h=P[I],O[h]?O[h].push(I):O[h]=[I];for(h in O){var U=O[h];if(U.length>1)for(m=0;m<U.length;m++)I=U[m],I.indexOf(\"trace-\")===0?(N=I.split(\"trace-\")[1],this.traceHash[N]&&(this.traceHash[N].below=null)):I.indexOf(\"layout-\")===0&&(N=I.split(\"layout-\")[1],this.layerList[N]&&(this.layerList[N].below=null))}};var _={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};l.updateData=function(y){var b=this.traceHash,p,u,m,h,P=y.slice().sort(function(O,I){return _[O[0].trace.type]-_[I[0].trace.type]});for(m=0;m<P.length;m++){var L=P[m];u=L[0].trace,p=b[u.uid];var z=!1;p&&(p.type===u.type?(p.update(L),z=!0):p.dispose()),!z&&u._module&&(b[u.uid]=u._module.plot(this,L))}var F=Object.keys(b);e:for(m=0;m<F.length;m++){var B=F[m];for(h=0;h<y.length;h++)if(u=y[h][0].trace,B===u.uid)continue e;p=b[B],p.dispose(),delete b[B]}},l.updateLayout=function(y){var b=this.map,p=y[this.id];!this.dragging&&!this.wheeling&&(b.setCenter(E(p.center)),b.setZoom(p.zoom),b.setBearing(p.bearing),b.setPitch(p.pitch)),this.updateLayers(y),this.updateFramework(y),this.updateFx(y),this.map.resize(),this.gd._context._scrollZoom.mapbox?b.scrollZoom.enable():b.scrollZoom.disable()},l.resolveOnRender=function(y){var b=this.map;b.on(\"render\",function p(){b.loaded()&&(b.off(\"render\",p),setTimeout(y,10))})},l.rejectOnError=function(y){var b=this.map;function p(){y(new Error(g.mapOnErrorMsg))}b.once(\"error\",p),b.once(\"style.error\",p),b.once(\"source.error\",p),b.once(\"tile.error\",p),b.once(\"layer.error\",p)},l.createFramework=function(y){var b=this,p=b.div=document.createElement(\"div\");p.id=b.uid,p.style.position=\"absolute\",b.container.appendChild(p),b.xaxis={_id:\"x\",c2p:function(u){return b.project(u).x}},b.yaxis={_id:\"y\",c2p:function(u){return b.project(u).y}},b.updateFramework(y),b.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},e.setConvert(b.mockAxis,y)},l.initFx=function(y,b){var p=this,u=p.gd,m=p.map;m.on(\"moveend\",function(L){if(p.map){var z=u._fullLayout;if(L.originalEvent||p.wheeling){var F=z[p.id];M.call(\"_storeDirectGUIEdit\",u.layout,z._preGUI,p.getViewEdits(F));var B=p.getView();F._input.center=F.center=B.center,F._input.zoom=F.zoom=B.zoom,F._input.bearing=F.bearing=B.bearing,F._input.pitch=F.pitch=B.pitch,u.emit(\"plotly_relayout\",p.getViewEditsWithDerived(B))}L.originalEvent&&L.originalEvent.type===\"mouseup\"?p.dragging=!1:p.wheeling&&(p.wheeling=!1),z._rehover&&z._rehover()}}),m.on(\"wheel\",function(){p.wheeling=!0}),m.on(\"mousemove\",function(L){var z=p.div.getBoundingClientRect(),F=[L.originalEvent.offsetX,L.originalEvent.offsetY];L.target.getBoundingClientRect=function(){return z},p.xaxis.p2c=function(){return m.unproject(F).lng},p.yaxis.p2c=function(){return m.unproject(F).lat},u._fullLayout._rehover=function(){u._fullLayout._hoversubplot===p.id&&u._fullLayout[p.id]&&r.hover(u,L,p.id)},r.hover(u,L,p.id),u._fullLayout._hoversubplot=p.id});function h(){r.loneUnhover(b._hoverlayer)}m.on(\"dragstart\",function(){p.dragging=!0,h()}),m.on(\"zoomstart\",h),m.on(\"mouseout\",function(){u._fullLayout._hoversubplot=null});function P(){var L=p.getView();u.emit(\"plotly_relayouting\",p.getViewEditsWithDerived(L))}m.on(\"drag\",P),m.on(\"zoom\",P),m.on(\"dblclick\",function(){var L=u._fullLayout[p.id];M.call(\"_storeDirectGUIEdit\",u.layout,u._fullLayout._preGUI,p.getViewEdits(L));var z=p.viewInitial;m.setCenter(E(z.center)),m.setZoom(z.zoom),m.setBearing(z.bearing),m.setPitch(z.pitch);var F=p.getView();L._input.center=L.center=F.center,L._input.zoom=L.zoom=F.zoom,L._input.bearing=L.bearing=F.bearing,L._input.pitch=L.pitch=F.pitch,u.emit(\"plotly_doubleclick\",null),u.emit(\"plotly_relayout\",p.getViewEditsWithDerived(F))}),p.clearOutline=function(){c(p.dragOptions),s(p.dragOptions.gd)},p.onClickInPanFn=function(L){return function(z){var F=u._fullLayout.clickmode;F.indexOf(\"select\")>-1&&f(z.originalEvent,u,[p.xaxis],[p.yaxis],p.id,L),F.indexOf(\"event\")>-1&&r.click(u,z.originalEvent)}}},l.updateFx=function(y){var b=this,p=b.map,u=b.gd;if(b.isStatic)return;function m(z){var F=b.map.unproject(z);return[F.lng,F.lat]}var h=y.dragmode,P;P=function(z,F){if(F.isRect){var B=z.range={};B[b.id]=[m([F.xmin,F.ymin]),m([F.xmax,F.ymax])]}else{var O=z.lassoPoints={};O[b.id]=F.map(m)}};var L=b.dragOptions;b.dragOptions=x.extendDeep(L||{},{dragmode:y.dragmode,element:b.div,gd:u,plotinfo:{id:b.id,domain:y[b.id].domain,xaxis:b.xaxis,yaxis:b.yaxis,fillRangeItems:P},xaxes:[b.xaxis],yaxes:[b.yaxis],subplot:b.id}),p.off(\"click\",b.onClickInPanHandler),i(h)||a(h)?(p.dragPan.disable(),p.on(\"zoomstart\",b.clearOutline),b.dragOptions.prepFn=function(z,F,B){n(z,F,B,b.dragOptions,h)},t.init(b.dragOptions)):(p.dragPan.enable(),p.off(\"zoomstart\",b.clearOutline),b.div.onmousedown=null,b.div.ontouchstart=null,b.div.removeEventListener(\"touchstart\",b.div._ontouchstart),b.onClickInPanHandler=b.onClickInPanFn(b.dragOptions),p.on(\"click\",b.onClickInPanHandler))},l.updateFramework=function(y){var b=y[this.id].domain,p=y._size,u=this.div.style;u.width=p.w*(b.x[1]-b.x[0])+\"px\",u.height=p.h*(b.y[1]-b.y[0])+\"px\",u.left=p.l+b.x[0]*p.w+\"px\",u.top=p.t+(1-b.y[1])*p.h+\"px\",this.xaxis._offset=p.l+b.x[0]*p.w,this.xaxis._length=p.w*(b.x[1]-b.x[0]),this.yaxis._offset=p.t+(1-b.y[1])*p.h,this.yaxis._length=p.h*(b.y[1]-b.y[0])},l.updateLayers=function(y){var b=y[this.id],p=b.layers,u=this.layerList,m;if(p.length!==u.length){for(m=0;m<u.length;m++)u[m].dispose();for(u=this.layerList=[],m=0;m<p.length;m++)u.push(v(this,m,p[m]))}else for(m=0;m<p.length;m++)u[m].update(p[m])},l.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))},l.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},l.setOptions=function(y,b,p){for(var u in p)this.map[b](y,u,p[u])},l.getMapLayers=function(){return this.map.getStyle().layers},l.addLayer=function(y,b){var p=this.map;if(typeof b==\"string\"){if(b===\"\"){p.addLayer(y,b);return}for(var u=this.getMapLayers(),m=0;m<u.length;m++)if(b===u[m].id){p.addLayer(y,b);return}x.warn([\"Trying to add layer with *below* value\",b,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}p.addLayer(y)},l.project=function(y){return this.map.project(new d.LngLat(y[0],y[1]))},l.getView=function(){var y=this.map,b=y.getCenter(),p=b.lng,u=b.lat,m={lon:p,lat:u},h=y.getCanvas(),P=parseInt(h.style.width),L=parseInt(h.style.height);return{center:m,zoom:y.getZoom(),bearing:y.getBearing(),pitch:y.getPitch(),_derived:{coordinates:[y.unproject([0,0]).toArray(),y.unproject([P,0]).toArray(),y.unproject([P,L]).toArray(),y.unproject([0,L]).toArray()]}}},l.getViewEdits=function(y){for(var b=this.id,p=[\"center\",\"zoom\",\"bearing\",\"pitch\"],u={},m=0;m<p.length;m++){var h=p[m];u[b+\".\"+h]=y[h]}return u},l.getViewEditsWithDerived=function(y){var b=this.id,p=this.getViewEdits(y);return p[b+\"._derived\"]=y._derived,p};function w(y,b){var p={};if(x.isPlainObject(y))p.id=y.id,p.style=y;else if(typeof y==\"string\")if(p.id=y,g.styleValuesMapbox.indexOf(y)!==-1)p.style=S(y);else if(g.stylesNonMapbox[y]){p.style=g.stylesNonMapbox[y];var u=p.style.sources[\"plotly-\"+y],m=u?u.tiles:void 0;m&&m[0]&&m[0].slice(-9)===\"?api_key=\"&&(m[0]+=b._mapboxAccessToken)}else p.style=y;else p.id=g.styleValueDflt,p.style=S(g.styleValueDflt);return p.transition={duration:0,delay:0},p}function S(y){return g.styleUrlPrefix+y+\"-\"+g.styleUrlSuffix}function E(y){return[y.lon,y.lat]}q.exports=T}}),yV=Ze({\"src/plots/mapbox/layout_defaults.js\"(Z,q){\"use strict\";var d=ca(),x=i0(),A=fp(),M=Mx();q.exports=function(o,a,i){x(o,a,i,{type:\"mapbox\",attributes:M,handleDefaults:e,partition:\"y\",accessToken:a._mapboxAccessToken})};function e(r,o,a,i){a(\"accesstoken\",i.accessToken),a(\"style\"),a(\"center.lon\"),a(\"center.lat\"),a(\"zoom\"),a(\"bearing\"),a(\"pitch\");var 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v=A.makeColorScaleFuncFromTrace(i),T=i.marker,l=T.line||{},_;x.isArrayOrTypedArray(T.opacity)&&(_=function(m){var h=m.mo;return d(h)?+x.constrain(h,0,1):0});var w;x.isArrayOrTypedArray(l.color)&&(w=function(m){return m.mlc});var S;x.isArrayOrTypedArray(l.width)&&(S=function(m){return m.mlw});for(var E=0;E<a.length;E++){var y=a[E],b=y.fOut;if(b){var p=b.properties;p.fc=v(y.z),_&&(p.mo=_(y)),w&&(p.mlc=w(y)),S&&(p.mlw=S(y)),y.ct=p.ct,y._polygons=t.feature2polygons(b)}}var u=_?{type:\"identity\",property:\"mo\"}:T.opacity;return x.extendFlat(s.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":u}),x.extendFlat(c.paint,{\"line-color\":w?{type:\"identity\",property:\"mlc\"}:l.color,\"line-width\":S?{type:\"identity\",property:\"mlw\"}:l.width,\"line-opacity\":u}),s.layout.visibility=\"visible\",c.layout.visibility=\"visible\",f.geojson={type:\"FeatureCollection\",features:g},o(a),f}function o(a){var i=a[0].trace,n=i._opts,s;if(i.selectedpoints){for(var 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r=this.subplot,o=this.layerList,a=r.belowLookup[\"trace-\"+this.uid];r.map.getSource(this.sourceId).setData(t.geojson),a!==this.below&&(this._removeLayers(),this._addLayers(t,a),this.below=a);for(var i=0;i<o.length;i++){var n=o[i],s=n[0],c=n[1],f=t[s];r.setOptions(c,\"setLayoutProperty\",f.layout),f.layout.visibility===\"visible\"&&r.setOptions(c,\"setPaintProperty\",f.paint)}},e._addLayers=function(t,r){for(var o=this.subplot,a=this.layerList,i=this.sourceId,n=0;n<a.length;n++){var s=a[n],c=s[0],f=t[c];o.addLayer({type:c,id:s[1],source:i,layout:f.layout,paint:f.paint},r)}},e._removeLayers=function(){for(var t=this.subplot.map,r=this.layerList,o=r.length-1;o>=0;o--)t.removeLayer(r[o][1])},e.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},q.exports=function(r,o){var a=o[0].trace,i=new M(r,a.uid),n=i.sourceId,s=d(o),c=i.below=r.belowLookup[\"trace-\"+a.uid];return r.map.addSource(n,{type:\"geojson\",data:s.geojson}),i._addLayers(s,c),o[0].trace._glTrace=i,i}}}),TV=Ze({\"src/traces/choroplethmapbox/index.js\"(Z,q){\"use strict\";var d=[\"*choroplethmapbox* trace is deprecated!\",\"Please consider switching to the *choroplethmap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");q.exports={attributes:C6(),supplyDefaults:bV(),colorbar:a0(),calc:lT(),plot:wV(),hoverPoints:cT(),eventData:fT(),selectPoints:hT(),styleOnSelect:function(x,A){if(A){var M=A[0].trace;M._glTrace.updateOnSelect(A)}},getBelow:function(x,A){for(var M=A.getMapLayers(),e=M.length-2;e>=0;e--){var t=M[e].id;if(typeof t==\"string\"&&t.indexOf(\"water\")===0){for(var r=e+1;r<M.length;r++)if(t=M[r].id,typeof t==\"string\"&&t.indexOf(\"plotly-\")===-1)return 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i=a(\"lon\")||[],n=a(\"lat\")||[],s=Math.min(i.length,n.length);if(!s){t.visible=!1;return}t._length=s,a(\"z\"),a(\"radius\"),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),x(e,t,o,a,{prefix:\"\",cLetter:\"z\"})}}}),MV=Ze({\"src/traces/densitymapbox/calc.js\"(Z,q){\"use strict\";var d=ns(),x=ca().isArrayOrTypedArray,A=qs().BADNUM,M=wp(),e=ca()._;q.exports=function(r,o){for(var a=o._length,i=new Array(a),n=o.z,s=x(n)&&n.length,c=0;c<a;c++){var f=i[c]={},g=o.lon[c],v=o.lat[c];if(f.lonlat=d(g)&&d(v)?[+g,+v]:[A,A],s){var T=n[c];f.z=d(T)?T:A}}return M(r,o,{vals:s?n:[0,1],containerStr:\"\",cLetter:\"z\"}),a&&(i[0].t={labels:{lat:e(r,\"lat:\")+\" \",lon:e(r,\"lon:\")+\" \"}}),i}}}),EV=Ze({\"src/traces/densitymapbox/convert.js\"(Z,q){\"use strict\";var d=ns(),x=ca(),A=Yn(),M=rc(),e=qs().BADNUM,t=d0().makeBlank;q.exports=function(o){var a=o[0].trace,i=a.visible===!0&&a._length!==0,n={layout:{visibility:\"none\"},paint:{}},s=a._opts={heatmap:n,geojson:t()};if(!i)return s;var c=[],f,g=a.z,v=a.radius,T=x.isArrayOrTypedArray(g)&&g.length,l=x.isArrayOrTypedArray(v);for(f=0;f<o.length;f++){var _=o[f],w=_.lonlat;if(w[0]!==e){var S={};if(T){var E=_.z;S.z=E!==e?E:0}l&&(S.r=d(v[f])&&v[f]>0?+v[f]:0),c.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:w},properties:S})}}var y=M.extractOpts(a),b=y.reversescale?M.flipScale(y.colorscale):y.colorscale,p=b[0][1],u=A.opacity(p)<1?p:A.addOpacity(p,0),m=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,u];for(f=1;f<b.length;f++)m.push(b[f][0],b[f][1]);var h=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],y.min,0,y.max,1];return x.extendFlat(s.heatmap.paint,{\"heatmap-weight\":T?h:1/(y.max-y.min),\"heatmap-color\":m,\"heatmap-radius\":l?{type:\"identity\",property:\"r\"}:a.radius,\"heatmap-opacity\":a.opacity}),s.geojson={type:\"FeatureCollection\",features:c},s.heatmap.layout.visibility=\"visible\",s}}}),CV=Ze({\"src/traces/densitymapbox/plot.js\"(Z,q){\"use strict\";var d=EV(),x=am().traceLayerPrefix;function 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Pr||H instanceof ma||H instanceof ra||H instanceof Ha||H instanceof $a)return!0;if(Array.isArray(H)){for(let D of H)if(!mi(D))return!1;return!0}if(typeof H==\"object\"){for(let D in H)if(!mi(H[D]))return!1;return!0}return!1}function xt(H){if(H===null)return st;if(typeof H==\"string\")return Lt;if(typeof H==\"boolean\")return kt;if(typeof H==\"number\")return Qe;if(H instanceof Wt)return Vt;if(H instanceof Pr)return xr;if(H instanceof ma)return jr;if(H instanceof ra)return wr;if(H instanceof Ha)return bt;if(H instanceof $a)return Ir;if(Array.isArray(H)){let D=H.length,K;for(let pe of H){let ke=xt(pe);if(K){if(K===ke)continue;K=Sr;break}K=ke}return Be(K||Sr,D)}return Zt}function ct(H){let D=typeof H;return H===null?\"\":D===\"string\"||D===\"number\"||D===\"boolean\"?String(H):H instanceof Wt||H instanceof ma||H instanceof ra||H instanceof Ha||H instanceof $a?H.toString():JSON.stringify(H)}class Nr{constructor(D,K){this.type=D,this.value=K}static parse(D,K){if(D.length!==2)return K.error(`'literal' expression requires exactly one argument, but found ${D.length-1} instead.`);if(!mi(D[1]))return K.error(\"invalid value\");let pe=D[1],ke=xt(pe),je=K.expectedType;return ke.kind!==\"array\"||ke.N!==0||!je||je.kind!==\"array\"||typeof je.N==\"number\"&&je.N!==0||(ke=je),new Nr(ke,pe)}evaluate(){return this.value}eachChild(){}outputDefined(){return!0}}class Or{constructor(D){this.name=\"ExpressionEvaluationError\",this.message=D}toJSON(){return this.message}}let Rr={string:Lt,number:Qe,boolean:kt,object:Zt};class Lr{constructor(D,K){this.type=D,this.args=K}static parse(D,K){if(D.length<2)return K.error(\"Expected at least one argument.\");let pe,ke=1,je=D[0];if(je===\"array\"){let ft,Mt;if(D.length>2){let Ut=D[1];if(typeof Ut!=\"string\"||!(Ut in Rr)||Ut===\"object\")return K.error('The item type argument of \"array\" must be one of string, number, boolean',1);ft=Rr[Ut],ke++}else ft=Sr;if(D.length>3){if(D[2]!==null&&(typeof D[2]!=\"number\"||D[2]<0||D[2]!==Math.floor(D[2])))return K.error('The length argument to \"array\" must be a positive integer literal',2);Mt=D[2],ke++}pe=Be(ft,Mt)}else{if(!Rr[je])throw new Error(`Types doesn't contain name = ${je}`);pe=Rr[je]}let We=[];for(;ke<D.length;ke++){let ft=K.parse(D[ke],ke,Sr);if(!ft)return null;We.push(ft)}return new Lr(pe,We)}evaluate(D){for(let K=0;K<this.args.length;K++){let pe=this.args[K].evaluate(D);if(!Me(this.type,xt(pe)))return pe;if(K===this.args.length-1)throw new Or(`Expected value to be of type ${Ke(this.type)}, but found ${Ke(xt(pe))} instead.`)}throw new Error}eachChild(D){this.args.forEach(D)}outputDefined(){return this.args.every(D=>D.outputDefined())}}let Gr={\"to-boolean\":kt,\"to-color\":Vt,\"to-number\":Qe,\"to-string\":Lt};class Kr{constructor(D,K){this.type=D,this.args=K}static parse(D,K){if(D.length<2)return K.error(\"Expected at least one argument.\");let pe=D[0];if(!Gr[pe])throw new Error(`Can't parse ${pe} as it is not part of the 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aa{constructor(){this.globals=null,this.feature=null,this.featureState=null,this.formattedSection=null,this._parseColorCache={},this.availableImages=null,this.canonical=null}id(){return this.feature&&\"id\"in this.feature?this.feature.id:null}geometryType(){return this.feature?typeof this.feature.type==\"number\"?Ur[this.feature.type]:this.feature.type:null}geometry(){return this.feature&&\"geometry\"in this.feature?this.feature.geometry:null}canonicalID(){return this.canonical}properties(){return this.feature&&this.feature.properties||{}}parseColor(D){let K=this._parseColorCache[D];return K||(K=this._parseColorCache[D]=Wt.parse(D)),K}}class da{constructor(D,K,pe=[],ke,je=new rt,We=[]){this.registry=D,this.path=pe,this.key=pe.map(ft=>`[${ft}]`).join(\"\"),this.scope=je,this.errors=We,this.expectedType=ke,this._isConstant=K}parse(D,K,pe,ke,je={}){return K?this.concat(K,pe,ke)._parse(D,je):this._parse(D,je)}_parse(D,K){function pe(ke,je,We){return We===\"assert\"?new 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If you wanted a literal array, use [\"literal\", []].');let ke=D[0];if(typeof ke!=\"string\")return this.error(`Expression name must be a string, but found ${typeof ke} instead. If you wanted a literal array, use [\"literal\", [...]].`,0),null;let je=this.registry[ke];if(je){let We=je.parse(D,this);if(!We)return null;if(this.expectedType){let ft=this.expectedType,Mt=We.type;if(ft.kind!==\"string\"&&ft.kind!==\"number\"&&ft.kind!==\"boolean\"&&ft.kind!==\"object\"&&ft.kind!==\"array\"||Mt.kind!==\"value\")if(ft.kind!==\"color\"&&ft.kind!==\"formatted\"&&ft.kind!==\"resolvedImage\"||Mt.kind!==\"value\"&&Mt.kind!==\"string\")if(ft.kind!==\"padding\"||Mt.kind!==\"value\"&&Mt.kind!==\"number\"&&Mt.kind!==\"array\")if(ft.kind!==\"variableAnchorOffsetCollection\"||Mt.kind!==\"value\"&&Mt.kind!==\"array\"){if(this.checkSubtype(ft,Mt))return null}else We=pe(We,ft,K.typeAnnotation||\"coerce\");else We=pe(We,ft,K.typeAnnotation||\"coerce\");else We=pe(We,ft,K.typeAnnotation||\"coerce\");else We=pe(We,ft,K.typeAnnotation||\"assert\")}if(!(We instanceof Nr)&&We.type.kind!==\"resolvedImage\"&&this._isConstant(We)){let ft=new aa;try{We=new Nr(We.type,We.evaluate(ft))}catch(Mt){return this.error(Mt.message),null}}return We}return this.error(`Unknown expression \"${ke}\". 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pe=K.parse(D[1],1,Sr),ke=K.parse(D[2],2,Sr);if(!pe||!ke)return null;if(!qe(pe.type,[kt,Lt,Qe,st,Sr]))return K.error(`Expected first argument to be of type boolean, string, number or null, but found ${Ke(pe.type)} instead`);if(D.length===4){let je=K.parse(D[3],3,Qe);return je?new ia(pe,ke,je):null}return new ia(pe,ke)}evaluate(D){let K=this.needle.evaluate(D),pe=this.haystack.evaluate(D);if(!Ce(K,[\"boolean\",\"string\",\"number\",\"null\"]))throw new Or(`Expected first argument to be of type boolean, string, number or null, but found ${Ke(xt(K))} instead.`);let ke;if(this.fromIndex&&(ke=this.fromIndex.evaluate(D)),Ce(pe,[\"string\"])){let je=pe.indexOf(K,ke);return je===-1?-1:[...pe.slice(0,je)].length}if(Ce(pe,[\"array\"]))return pe.indexOf(K,ke);throw new Or(`Expected second argument to be of type array or string, but found ${Ke(xt(pe))} instead.`)}eachChild(D){D(this.needle),D(this.haystack),this.fromIndex&&D(this.fromIndex)}outputDefined(){return!1}}class Ca{constructor(D,K,pe,ke,je,We){this.inputType=D,this.type=K,this.input=pe,this.cases=ke,this.outputs=je,this.otherwise=We}static parse(D,K){if(D.length<5)return K.error(`Expected at least 4 arguments, but found only ${D.length-1}.`);if(D.length%2!=1)return K.error(\"Expected an even number of arguments.\");let pe,ke;K.expectedType&&K.expectedType.kind!==\"value\"&&(ke=K.expectedType);let je={},We=[];for(let Ut=2;Ut<D.length-1;Ut+=2){let nr=D[Ut],Mr=D[Ut+1];Array.isArray(nr)||(nr=[nr]);let zr=K.concat(Ut);if(nr.length===0)return zr.error(\"Expected at least one branch label.\");for(let oa of nr){if(typeof oa!=\"number\"&&typeof oa!=\"string\")return zr.error(\"Branch labels must be numbers or strings.\");if(typeof oa==\"number\"&&Math.abs(oa)>Number.MAX_SAFE_INTEGER)return zr.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(typeof oa==\"number\"&&Math.floor(oa)!==oa)return zr.error(\"Numeric branch labels must be integer 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arguments.\");let pe;K.expectedType&&K.expectedType.kind!==\"value\"&&(pe=K.expectedType);let ke=[];for(let We=1;We<D.length-1;We+=2){let ft=K.parse(D[We],We,kt);if(!ft)return null;let Mt=K.parse(D[We+1],We+1,pe);if(!Mt)return null;ke.push([ft,Mt]),pe=pe||Mt.type}let je=K.parse(D[D.length-1],D.length-1,pe);if(!je)return null;if(!pe)throw new Error(\"Can't infer output type\");return new Fa(pe,ke,je)}evaluate(D){for(let[K,pe]of this.branches)if(K.evaluate(D))return pe.evaluate(D);return this.otherwise.evaluate(D)}eachChild(D){for(let[K,pe]of this.branches)D(K),D(pe);D(this.otherwise)}outputDefined(){return this.branches.every(([D,K])=>K.outputDefined())&&this.otherwise.outputDefined()}}class Ya{constructor(D,K,pe,ke){this.type=D,this.input=K,this.beginIndex=pe,this.endIndex=ke}static parse(D,K){if(D.length<=2||D.length>=5)return K.error(`Expected 3 or 4 arguments, but found ${D.length-1} instead.`);let pe=K.parse(D[1],1,Sr),ke=K.parse(D[2],2,Qe);if(!pe||!ke)return null;if(!qe(pe.type,[Be(Sr),Lt,Sr]))return K.error(`Expected first argument to be of type array or string, but found ${Ke(pe.type)} instead`);if(D.length===4){let je=K.parse(D[3],3,Qe);return je?new Ya(pe.type,pe,ke,je):null}return new Ya(pe.type,pe,ke)}evaluate(D){let K=this.input.evaluate(D),pe=this.beginIndex.evaluate(D),ke;if(this.endIndex&&(ke=this.endIndex.evaluate(D)),Ce(K,[\"string\"]))return[...K].slice(pe,ke).join(\"\");if(Ce(K,[\"array\"]))return K.slice(pe,ke);throw new Or(`Expected first argument to be of type array or string, but found ${Ke(xt(K))} instead.`)}eachChild(D){D(this.input),D(this.beginIndex),this.endIndex&&D(this.endIndex)}outputDefined(){return!1}}function ha(H,D){let K=H.length-1,pe,ke,je=0,We=K,ft=0;for(;je<=We;)if(ft=Math.floor((je+We)/2),pe=H[ft],ke=H[ft+1],pe<=D){if(ft===K||D<ke)return ft;je=ft+1}else{if(!(pe>D))throw new Or(\"Input is not a number.\");We=ft-1}return 0}class Da{constructor(D,K,pe){this.type=D,this.input=K,this.labels=[],this.outputs=[];for(let[ke,je]of pe)this.labels.push(ke),this.outputs.push(je)}static parse(D,K){if(D.length-1<4)return K.error(`Expected at least 4 arguments, but found only ${D.length-1}.`);if((D.length-1)%2!=0)return K.error(\"Expected an even number of arguments.\");let pe=K.parse(D[1],1,Qe);if(!pe)return null;let ke=[],je=null;K.expectedType&&K.expectedType.kind!==\"value\"&&(je=K.expectedType);for(let We=1;We<D.length;We+=2){let ft=We===1?-1/0:D[We],Mt=D[We+1],Ut=We,nr=We+1;if(typeof ft!=\"number\")return K.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',Ut);if(ke.length&&ke[ke.length-1][0]>=ft)return K.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',Ut);let Mr=K.parse(Mt,nr,je);if(!Mr)return null;je=je||Mr.type,ke.push([ft,Mr])}return new 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K=H,pe=0;pe<8;pe++){var ke=this.sampleCurveX(K)-H;if(Math.abs(ke)<D)return K;var je=this.sampleCurveDerivativeX(K);if(Math.abs(je)<1e-6)break;K-=ke/je}var We=0,ft=1;for(K=H,pe=0;pe<20&&(ke=this.sampleCurveX(K),!(Math.abs(ke-H)<D));pe++)H>ke?We=K:ft=K,K=.5*(ft-We)+We;return K},solve:function(H,D){return this.sampleCurveY(this.solveCurveX(H,D))}};var An=Xi(Li);function kn(H,D,K){return H+K*(D-H)}function zn(H,D,K){return H.map((pe,ke)=>kn(pe,D[ke],K))}let Xn={number:kn,color:function(H,D,K,pe=\"rgb\"){switch(pe){case\"rgb\":{let[ke,je,We,ft]=zn(H.rgb,D.rgb,K);return new Wt(ke,je,We,ft,!1)}case\"hcl\":{let[ke,je,We,ft]=H.hcl,[Mt,Ut,nr,Mr]=D.hcl,zr,Hr;if(isNaN(ke)||isNaN(Mt))isNaN(ke)?isNaN(Mt)?zr=NaN:(zr=Mt,We!==1&&We!==0||(Hr=Ut)):(zr=ke,nr!==1&&nr!==0||(Hr=je));else{let Yi=Mt-ke;Mt>ke&&Yi>180?Yi-=360:Mt<ke&&ke-Mt>180&&(Yi+=360),zr=ke+K*Yi}let[oa,va,Ga,Qa]=function([Yi,xi,Hi,rn]){return 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this._warningHistory[ft.message]||(this._warningHistory[ft.message]=!0,typeof console<\"u\"&&console.warn(ft.message)),this._defaultValue}}}function Ac(H){return Array.isArray(H)&&H.length>0&&typeof H[0]==\"string\"&&H[0]in rf}function nl(H,D){let K=new da(rf,Ff,[],D?function(ke){let je={color:Vt,string:Lt,number:Qe,enum:Lt,boolean:kt,formatted:jr,padding:wr,resolvedImage:Ir,variableAnchorOffsetCollection:bt};return ke.type===\"array\"?Be(je[ke.value]||Sr,ke.length):je[ke.type]}(D):void 0),pe=K.parse(H,void 0,void 0,void 0,D&&D.type===\"string\"?{typeAnnotation:\"coerce\"}:void 0);return pe?oc(new Lu(pe,D)):Hc(K.errors)}class dc{constructor(D,K){this.kind=D,this._styleExpression=K,this.isStateDependent=D!==\"constant\"&&!Gu(K.expression)}evaluateWithoutErrorHandling(D,K,pe,ke,je,We){return this._styleExpression.evaluateWithoutErrorHandling(D,K,pe,ke,je,We)}evaluate(D,K,pe,ke,je,We){return this._styleExpression.evaluate(D,K,pe,ke,je,We)}}class vu{constructor(D,K,pe,ke){this.kind=D,this.zoomStops=pe,this._styleExpression=K,this.isStateDependent=D!==\"camera\"&&!Gu(K.expression),this.interpolationType=ke}evaluateWithoutErrorHandling(D,K,pe,ke,je,We){return this._styleExpression.evaluateWithoutErrorHandling(D,K,pe,ke,je,We)}evaluate(D,K,pe,ke,je,We){return this._styleExpression.evaluate(D,K,pe,ke,je,We)}interpolationFactor(D,K,pe){return this.interpolationType?to.interpolationFactor(this.interpolationType,D,K,pe):0}}function bu(H,D){let K=nl(H,D);if(K.result===\"error\")return K;let pe=K.value.expression,ke=Of(pe);if(!ke&&!Jl(D))return Hc([new Fe(\"\",\"data expressions not supported\")]);let je=Ef(pe,[\"zoom\"]);if(!je&&!Uc(D))return Hc([new Fe(\"\",\"zoom expressions not supported\")]);let We=Uf(pe);return We||je?We instanceof Fe?Hc([We]):We instanceof to&&!Tc(D)?Hc([new Fe(\"\",'\"interpolate\" expressions cannot be used with this property')]):oc(We?new vu(ke?\"camera\":\"composite\",K.value,We.labels,We instanceof 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D=H.valueSpec,K=ol(H.value.type),pe,ke,je,We={},ft=K!==\"categorical\"&&H.value.property===void 0,Mt=!ft,Ut=Gs(H.value.stops)===\"array\"&&Gs(H.value.stops[0])===\"array\"&&Gs(H.value.stops[0][0])===\"object\",nr=Pu({key:H.key,value:H.value,valueSpec:H.styleSpec.function,validateSpec:H.validateSpec,style:H.style,styleSpec:H.styleSpec,objectElementValidators:{stops:function(Hr){if(K===\"identity\")return[new _e(Hr.key,Hr.value,'identity function may not have a \"stops\" property')];let oa=[],va=Hr.value;return oa=oa.concat(kf({key:Hr.key,value:va,valueSpec:Hr.valueSpec,validateSpec:Hr.validateSpec,style:Hr.style,styleSpec:Hr.styleSpec,arrayElementValidator:Mr})),Gs(va)===\"array\"&&va.length===0&&oa.push(new _e(Hr.key,va,\"array must have at least one stop\")),oa},default:function(Hr){return Hr.validateSpec({key:Hr.key,value:Hr.value,valueSpec:D,validateSpec:Hr.validateSpec,style:Hr.style,styleSpec:Hr.styleSpec})}}});return K===\"identity\"&&ft&&nr.push(new _e(H.key,H.value,'missing 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K=D.value.expression||D.value._styleExpression.expression;if(H.expressionContext===\"property\"&&H.propertyKey===\"text-font\"&&!K.outputDefined())return[new _e(H.key,H.value,`Invalid data expression for \"${H.propertyKey}\". Output values must be contained as literals within the expression.`)];if(H.expressionContext===\"property\"&&H.propertyType===\"layout\"&&!Gu(K))return[new _e(H.key,H.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(H.expressionContext===\"filter\"&&!Gu(K))return[new _e(H.key,H.value,'\"feature-state\" data expressions are not supported with filters.')];if(H.expressionContext&&H.expressionContext.indexOf(\"cluster\")===0){if(!Ef(K,[\"zoom\",\"feature-state\"]))return[new _e(H.key,H.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(H.expressionContext===\"cluster-initial\"&&!Of(K))return[new _e(H.key,H.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function Hu(H){let D=H.key,K=H.value,pe=H.valueSpec,ke=[];return Array.isArray(pe.values)?pe.values.indexOf(ol(K))===-1&&ke.push(new _e(D,K,`expected one of [${pe.values.join(\", \")}], 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pe({key:K,value:We,valueSpec:je.transition,style:ke,styleSpec:je});let nr=H.valueSpec||Mt[ft];if(!nr)return[new _e(K,We,`unknown property \"${ft}\"`)];let Mr;if(Gs(We)===\"string\"&&Jl(nr)&&!nr.tokens&&(Mr=/^{([^}]+)}$/.exec(We)))return[new _e(K,We,`\"${ft}\" does not support interpolation syntax\nUse an identity property function instead: \\`{ \"type\": \"identity\", \"property\": ${JSON.stringify(Mr[1])} }\\`.`)];let zr=[];return H.layerType===\"symbol\"&&(ft===\"text-field\"&&ke&&!ke.glyphs&&zr.push(new _e(K,We,'use of \"text-field\" requires a style \"glyphs\" property')),ft===\"text-font\"&&Cf(mu(We))&&ol(We.type)===\"identity\"&&zr.push(new _e(K,We,'\"text-font\" does not support identity functions'))),zr.concat(pe({key:H.key,value:We,valueSpec:nr,style:ke,styleSpec:je,expressionContext:\"property\",propertyType:D,propertyKey:ft}))}function Lf(H){return Zc(H,\"paint\")}function ru(H){return Zc(H,\"layout\")}function jf(H){let D=[],K=H.value,pe=H.key,ke=H.style,je=H.styleSpec;K.type||K.ref||D.push(new _e(pe,K,'either \"type\" or \"ref\" is required'));let We=ol(K.type),ft=ol(K.ref);if(K.id){let Mt=ol(K.id);for(let Ut=0;Ut<H.arrayIndex;Ut++){let nr=ke.layers[Ut];ol(nr.id)===Mt&&D.push(new _e(pe,K.id,`duplicate layer id \"${K.id}\", previously used at line ${nr.id.__line__}`))}}if(\"ref\"in K){let Mt;[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach(Ut=>{Ut in K&&D.push(new _e(pe,K[Ut],`\"${Ut}\" is prohibited for ref layers`))}),ke.layers.forEach(Ut=>{ol(Ut.id)===ft&&(Mt=Ut)}),Mt?Mt.ref?D.push(new _e(pe,K.ref,\"ref cannot reference another ref layer\")):We=ol(Mt.type):D.push(new _e(pe,K.ref,`ref layer \"${ft}\" not found`))}else if(We!==\"background\")if(K.source){let Mt=ke.sources&&ke.sources[K.source],Ut=Mt&&ol(Mt.type);Mt?Ut===\"vector\"&&We===\"raster\"?D.push(new _e(pe,K.source,`layer \"${K.id}\" requires a raster source`)):Ut!==\"raster-dem\"&&We===\"hillshade\"?D.push(new 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D=D.concat(Pu({key:pe,value:K,valueSpec:je.layer,style:H.style,styleSpec:H.styleSpec,validateSpec:H.validateSpec,objectElementValidators:{\"*\":()=>[],type:()=>H.validateSpec({key:`${pe}.type`,value:K.type,valueSpec:je.layer.type,style:H.style,styleSpec:H.styleSpec,validateSpec:H.validateSpec,object:K,objectKey:\"type\"}),filter:mf,layout:Mt=>Pu({layer:K,key:Mt.key,value:Mt.value,style:Mt.style,styleSpec:Mt.styleSpec,validateSpec:Mt.validateSpec,objectElementValidators:{\"*\":Ut=>ru(fe({layerType:We},Ut))}}),paint:Mt=>Pu({layer:K,key:Mt.key,value:Mt.value,style:Mt.style,styleSpec:Mt.styleSpec,validateSpec:Mt.validateSpec,objectElementValidators:{\"*\":Ut=>Lf(fe({layerType:We},Ut))}})}})),D}function Xu(H){let D=H.value,K=H.key,pe=Gs(D);return pe!==\"string\"?[new _e(K,D,`string expected, ${pe} found`)]:[]}let Ec={promoteId:function({key:H,value:D}){if(Gs(D)===\"string\")return Xu({key:H,value:D});{let K=[];for(let pe in D)K.push(...Xu({key:`${H}.${pe}`,value:D[pe]}));return 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K=K.concat(kc({key:\"\",value:H,valueSpec:D.$root,styleSpec:D,style:H,validateSpec:kc,objectElementValidators:{glyphs:er,\"*\":()=>[]}})),H.constants&&(K=K.concat(vf({key:\"constants\",value:H.constants,style:H,styleSpec:D,validateSpec:kc}))),$r(K)}function na(H){return function(D){return H(ws(Uo({},D),{validateSpec:kc}))}}function $r(H){return[].concat(H).sort((D,K)=>D.line-K.line)}function La(H){return function(...D){return $r(H.apply(this,D))}}yr.source=La(na(mc)),yr.sprite=La(na(Yc)),yr.glyphs=La(na(er)),yr.light=La(na(jl)),yr.sky=La(na(gu)),yr.terrain=La(na(Cc)),yr.layer=La(na(jf)),yr.filter=La(na(mf)),yr.paintProperty=La(na(Lf)),yr.layoutProperty=La(na(ru));let hi=yr,Pi=hi.light,Zi=hi.sky,tn=hi.paintProperty,dn=hi.layoutProperty;function Ri(H,D){let K=!1;if(D&&D.length)for(let pe of D)H.fire(new j(new Error(pe.message))),K=!0;return K}class Fi{constructor(D,K,pe){let ke=this.cells=[];if(D instanceof ArrayBuffer){this.arrayBuffer=D;let We=new Int32Array(this.arrayBuffer);D=We[0],this.d=(K=We[1])+2*(pe=We[2]);for(let Mt=0;Mt<this.d*this.d;Mt++){let Ut=We[3+Mt],nr=We[3+Mt+1];ke.push(Ut===nr?null:We.subarray(Ut,nr))}let ft=We[3+ke.length+1];this.keys=We.subarray(We[3+ke.length],ft),this.bboxes=We.subarray(ft),this.insert=this._insertReadonly}else{this.d=K+2*pe;for(let We=0;We<this.d*this.d;We++)ke.push([]);this.keys=[],this.bboxes=[]}this.n=K,this.extent=D,this.padding=pe,this.scale=K/D,this.uid=0;let je=pe/K*D;this.min=-je,this.max=D+je}insert(D,K,pe,ke,je){this._forEachCell(K,pe,ke,je,this._insertCell,this.uid++,void 0,void 0),this.keys.push(D),this.bboxes.push(K),this.bboxes.push(pe),this.bboxes.push(ke),this.bboxes.push(je)}_insertReadonly(){throw new Error(\"Cannot insert into a GridIndex created from an ArrayBuffer.\")}_insertCell(D,K,pe,ke,je,We){this.cells[je].push(We)}query(D,K,pe,ke,je){let We=this.min,ft=this.max;if(D<=We&&K<=We&&ft<=pe&&ft<=ke&&!je)return Array.prototype.slice.call(this.keys);{let Mt=[];return this._forEachCell(D,K,pe,ke,this._queryCell,Mt,{},je),Mt}}_queryCell(D,K,pe,ke,je,We,ft,Mt){let Ut=this.cells[je];if(Ut!==null){let nr=this.keys,Mr=this.bboxes;for(let zr=0;zr<Ut.length;zr++){let Hr=Ut[zr];if(ft[Hr]===void 0){let oa=4*Hr;(Mt?Mt(Mr[oa+0],Mr[oa+1],Mr[oa+2],Mr[oa+3]):D<=Mr[oa+2]&&K<=Mr[oa+3]&&pe>=Mr[oa+0]&&ke>=Mr[oa+1])?(ft[Hr]=!0,We.push(nr[Hr])):ft[Hr]=!1}}}}_forEachCell(D,K,pe,ke,je,We,ft,Mt){let Ut=this._convertToCellCoord(D),nr=this._convertToCellCoord(K),Mr=this._convertToCellCoord(pe),zr=this._convertToCellCoord(ke);for(let Hr=Ut;Hr<=Mr;Hr++)for(let oa=nr;oa<=zr;oa++){let va=this.d*oa+Hr;if((!Mt||Mt(this._convertFromCellCoord(Hr),this._convertFromCellCoord(oa),this._convertFromCellCoord(Hr+1),this._convertFromCellCoord(oa+1)))&&je.call(this,D,K,pe,ke,va,We,ft,Mt))return}}_convertFromCellCoord(D){return(D-this.padding)/this.scale}_convertToCellCoord(D){return Math.max(0,Math.min(this.d-1,Math.floor(D*this.scale)+this.padding))}toArrayBuffer(){if(this.arrayBuffer)return this.arrayBuffer;let D=this.cells,K=3+this.cells.length+1+1,pe=0;for(let We=0;We<this.cells.length;We++)pe+=this.cells[We].length;let ke=new Int32Array(K+pe+this.keys.length+this.bboxes.length);ke[0]=this.extent,ke[1]=this.n,ke[2]=this.padding;let je=K;for(let We=0;We<D.length;We++){let ft=D[We];ke[3+We]=je,ke.set(ft,je),je+=ft.length}return ke[3+D.length]=je,ke.set(this.keys,je),je+=this.keys.length,ke[3+D.length+1]=je,ke.set(this.bboxes,je),je+=this.bboxes.length,ke.buffer}static serialize(D,K){let pe=D.toArrayBuffer();return K&&K.push(pe),{buffer:pe}}static deserialize(D){return new Fi(D.buffer)}}let qi={};function _i(H,D,K={}){if(qi[H])throw new Error(`${H} is already registered.`);Object.defineProperty(D,\"_classRegistryKey\",{value:H,writeable:!1}),qi[H]={klass:D,omit:K.omit||[],shallow:K.shallow||[]}}_i(\"Object\",Object),_i(\"TransferableGridIndex\",Fi),_i(\"Color\",Wt),_i(\"Error\",Error),_i(\"AJAXError\",he),_i(\"ResolvedImage\",$a),_i(\"StylePropertyFunction\",Ml),_i(\"StyleExpression\",Lu,{omit:[\"_evaluator\"]}),_i(\"ZoomDependentExpression\",vu),_i(\"ZoomConstantExpression\",dc),_i(\"CompoundExpression\",Kl,{omit:[\"_evaluate\"]});for(let H in rf)rf[H]._classRegistryKey||_i(`Expression_${H}`,rf[H]);function Mn(H){return H&&typeof ArrayBuffer<\"u\"&&(H instanceof ArrayBuffer||H.constructor&&H.constructor.name===\"ArrayBuffer\")}function Kn(H){return H.$name||H.constructor._classRegistryKey}function ao(H){return!function(D){if(D===null||typeof D!=\"object\")return!1;let K=Kn(D);return!(!K||K===\"Object\")}(H)&&(H==null||typeof H==\"boolean\"||typeof H==\"number\"||typeof H==\"string\"||H instanceof Boolean||H instanceof Number||H instanceof String||H instanceof Date||H instanceof RegExp||H instanceof Blob||H instanceof Error||Mn(H)||F(H)||ArrayBuffer.isView(H)||H instanceof ImageData)}function Jn(H,D){if(ao(H))return(Mn(H)||F(H))&&D&&D.push(H),ArrayBuffer.isView(H)&&D&&D.push(H.buffer),H instanceof ImageData&&D&&D.push(H.data.buffer),H;if(Array.isArray(H)){let je=[];for(let We of H)je.push(Jn(We,D));return je}if(typeof H!=\"object\")throw new Error(\"can't serialize object of type \"+typeof H);let K=Kn(H);if(!K)throw new Error(`can't serialize object of unregistered class ${H.constructor.name}`);if(!qi[K])throw new Error(`${K} is not registered.`);let{klass:pe}=qi[K],ke=pe.serialize?pe.serialize(H,D):{};if(pe.serialize){if(D&&ke===D[D.length-1])throw new Error(\"statically serialized object won't survive transfer of $name property\")}else{for(let je in H){if(!H.hasOwnProperty(je)||qi[K].omit.indexOf(je)>=0)continue;let We=H[je];ke[je]=qi[K].shallow.indexOf(je)>=0?We:Jn(We,D)}H instanceof Error&&(ke.message=H.message)}if(ke.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return K!==\"Object\"&&(ke.$name=K),ke}function co(H){if(ao(H))return H;if(Array.isArray(H))return H.map(co);if(typeof H!=\"object\")throw new Error(\"can't deserialize object of type \"+typeof H);let D=Kn(H)||\"Object\";if(!qi[D])throw new Error(`can't deserialize unregistered class ${D}`);let{klass:K}=qi[D];if(!K)throw new Error(`can't deserialize unregistered class ${D}`);if(K.deserialize)return K.deserialize(H);let pe=Object.create(K.prototype);for(let ke of Object.keys(H)){if(ke===\"$name\")continue;let je=H[ke];pe[ke]=qi[D].shallow.indexOf(ke)>=0?je:co(je)}return pe}class wn{constructor(){this.first=!0}update(D,K){let pe=Math.floor(D);return this.first?(this.first=!1,this.lastIntegerZoom=pe,this.lastIntegerZoomTime=0,this.lastZoom=D,this.lastFloorZoom=pe,!0):(this.lastFloorZoom>pe?(this.lastIntegerZoom=pe+1,this.lastIntegerZoomTime=K):this.lastFloorZoom<pe&&(this.lastIntegerZoom=pe,this.lastIntegerZoomTime=K),D!==this.lastZoom&&(this.lastZoom=D,this.lastFloorZoom=pe,!0))}}let un={\"Latin-1 Supplement\":H=>H>=128&&H<=255,\"Hangul Jamo\":H=>H>=4352&&H<=4607,Khmer:H=>H>=6016&&H<=6143,\"General Punctuation\":H=>H>=8192&&H<=8303,\"Letterlike Symbols\":H=>H>=8448&&H<=8527,\"Number Forms\":H=>H>=8528&&H<=8591,\"Miscellaneous Technical\":H=>H>=8960&&H<=9215,\"Control Pictures\":H=>H>=9216&&H<=9279,\"Optical Character Recognition\":H=>H>=9280&&H<=9311,\"Enclosed Alphanumerics\":H=>H>=9312&&H<=9471,\"Geometric Shapes\":H=>H>=9632&&H<=9727,\"Miscellaneous Symbols\":H=>H>=9728&&H<=9983,\"Miscellaneous Symbols and Arrows\":H=>H>=11008&&H<=11263,\"Ideographic Description Characters\":H=>H>=12272&&H<=12287,\"CJK Symbols and Punctuation\":H=>H>=12288&&H<=12351,Katakana:H=>H>=12448&&H<=12543,Kanbun:H=>H>=12688&&H<=12703,\"CJK Strokes\":H=>H>=12736&&H<=12783,\"Enclosed CJK Letters and Months\":H=>H>=12800&&H<=13055,\"CJK Compatibility\":H=>H>=13056&&H<=13311,\"Yijing Hexagram Symbols\":H=>H>=19904&&H<=19967,\"Private Use Area\":H=>H>=57344&&H<=63743,\"Vertical Forms\":H=>H>=65040&&H<=65055,\"CJK Compatibility Forms\":H=>H>=65072&&H<=65103,\"Small Form Variants\":H=>H>=65104&&H<=65135,\"Halfwidth and Fullwidth Forms\":H=>H>=65280&&H<=65519};function _o(H){for(let D of H)if(ys(D.charCodeAt(0)))return!0;return!1}function Qo(H){for(let D of H)if(!Rs(D.charCodeAt(0)))return!1;return!0}function xs(H){let D=H.map(K=>{try{return new RegExp(`\\\\p{sc=${K}}`,\"u\").source}catch{return null}}).filter(K=>K);return new RegExp(D.join(\"|\"),\"u\")}let Qs=xs([\"Arab\",\"Dupl\",\"Mong\",\"Ougr\",\"Syrc\"]);function Rs(H){return!Qs.test(String.fromCodePoint(H))}let Ks=xs([\"Bopo\",\"Hani\",\"Hira\",\"Kana\",\"Kits\",\"Nshu\",\"Tang\",\"Yiii\"]);function ys(H){return!(H!==746&&H!==747&&(H<4352||!(un[\"CJK Compatibility Forms\"](H)&&!(H>=65097&&H<=65103)||un[\"CJK Compatibility\"](H)||un[\"CJK Strokes\"](H)||!(!un[\"CJK Symbols and Punctuation\"](H)||H>=12296&&H<=12305||H>=12308&&H<=12319||H===12336)||un[\"Enclosed CJK Letters and Months\"](H)||un[\"Ideographic Description Characters\"](H)||un.Kanbun(H)||un.Katakana(H)&&H!==12540||!(!un[\"Halfwidth and Fullwidth Forms\"](H)||H===65288||H===65289||H===65293||H>=65306&&H<=65310||H===65339||H===65341||H===65343||H>=65371&&H<=65503||H===65507||H>=65512&&H<=65519)||!(!un[\"Small Form Variants\"](H)||H>=65112&&H<=65118||H>=65123&&H<=65126)||un[\"Vertical Forms\"](H)||un[\"Yijing Hexagram Symbols\"](H)||new RegExp(\"\\\\p{sc=Cans}\",\"u\").test(String.fromCodePoint(H))||new RegExp(\"\\\\p{sc=Hang}\",\"u\").test(String.fromCodePoint(H))||Ks.test(String.fromCodePoint(H)))))}function Fl(H){return!(ys(H)||function(D){return!!(un[\"Latin-1 Supplement\"](D)&&(D===167||D===169||D===174||D===177||D===188||D===189||D===190||D===215||D===247)||un[\"General Punctuation\"](D)&&(D===8214||D===8224||D===8225||D===8240||D===8241||D===8251||D===8252||D===8258||D===8263||D===8264||D===8265||D===8273)||un[\"Letterlike Symbols\"](D)||un[\"Number Forms\"](D)||un[\"Miscellaneous Technical\"](D)&&(D>=8960&&D<=8967||D>=8972&&D<=8991||D>=8996&&D<=9e3||D===9003||D>=9085&&D<=9114||D>=9150&&D<=9165||D===9167||D>=9169&&D<=9179||D>=9186&&D<=9215)||un[\"Control Pictures\"](D)&&D!==9251||un[\"Optical Character Recognition\"](D)||un[\"Enclosed Alphanumerics\"](D)||un[\"Geometric Shapes\"](D)||un[\"Miscellaneous Symbols\"](D)&&!(D>=9754&&D<=9759)||un[\"Miscellaneous Symbols and Arrows\"](D)&&(D>=11026&&D<=11055||D>=11088&&D<=11097||D>=11192&&D<=11243)||un[\"CJK Symbols and Punctuation\"](D)||un.Katakana(D)||un[\"Private Use Area\"](D)||un[\"CJK Compatibility Forms\"](D)||un[\"Small Form Variants\"](D)||un[\"Halfwidth and Fullwidth Forms\"](D)||D===8734||D===8756||D===8757||D>=9984&&D<=10087||D>=10102&&D<=10131||D===65532||D===65533)}(H))}let yl=xs([\"Adlm\",\"Arab\",\"Armi\",\"Avst\",\"Chrs\",\"Cprt\",\"Egyp\",\"Elym\",\"Gara\",\"Hatr\",\"Hebr\",\"Hung\",\"Khar\",\"Lydi\",\"Mand\",\"Mani\",\"Mend\",\"Merc\",\"Mero\",\"Narb\",\"Nbat\",\"Nkoo\",\"Orkh\",\"Palm\",\"Phli\",\"Phlp\",\"Phnx\",\"Prti\",\"Rohg\",\"Samr\",\"Sarb\",\"Sogo\",\"Syrc\",\"Thaa\",\"Todr\",\"Yezi\"]);function sl(H){return yl.test(String.fromCodePoint(H))}function Un(H,D){return!(!D&&sl(H)||H>=2304&&H<=3583||H>=3840&&H<=4255||un.Khmer(H))}function Io(H){for(let D of H)if(sl(D.charCodeAt(0)))return!0;return!1}let Xs=new class{constructor(){this.applyArabicShaping=null,this.processBidirectionalText=null,this.processStyledBidirectionalText=null,this.pluginStatus=\"unavailable\",this.pluginURL=null}setState(H){this.pluginStatus=H.pluginStatus,this.pluginURL=H.pluginURL}getState(){return{pluginStatus:this.pluginStatus,pluginURL:this.pluginURL}}setMethods(H){this.applyArabicShaping=H.applyArabicShaping,this.processBidirectionalText=H.processBidirectionalText,this.processStyledBidirectionalText=H.processStyledBidirectionalText}isParsed(){return this.applyArabicShaping!=null&&this.processBidirectionalText!=null&&this.processStyledBidirectionalText!=null}getPluginURL(){return this.pluginURL}getRTLTextPluginStatus(){return this.pluginStatus}};class Ls{constructor(D,K){this.zoom=D,K?(this.now=K.now,this.fadeDuration=K.fadeDuration,this.zoomHistory=K.zoomHistory,this.transition=K.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new wn,this.transition={})}isSupportedScript(D){return function(K,pe){for(let ke of K)if(!Un(ke.charCodeAt(0),pe))return!1;return!0}(D,Xs.getRTLTextPluginStatus()===\"loaded\")}crossFadingFactor(){return this.fadeDuration===0?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){let D=this.zoom,K=D-Math.floor(D),pe=this.crossFadingFactor();return D>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:K+(1-K)*pe}:{fromScale:.5,toScale:1,t:1-(1-pe)*K}}}class ou{constructor(D,K){this.property=D,this.value=K,this.expression=function(pe,ke){if(Cf(pe))return new Ml(pe,ke);if(Ac(pe)){let je=bu(pe,ke);if(je.result===\"error\")throw new Error(je.value.map(We=>`${We.key}: ${We.message}`).join(\", \"));return je.value}{let je=pe;return ke.type===\"color\"&&typeof pe==\"string\"?je=Wt.parse(pe):ke.type!==\"padding\"||typeof pe!=\"number\"&&!Array.isArray(pe)?ke.type===\"variableAnchorOffsetCollection\"&&Array.isArray(pe)&&(je=Ha.parse(pe)):je=ra.parse(pe),{kind:\"constant\",evaluate:()=>je}}}(K===void 0?D.specification.default:K,D.specification)}isDataDriven(){return this.expression.kind===\"source\"||this.expression.kind===\"composite\"}possiblyEvaluate(D,K,pe){return this.property.possiblyEvaluate(this,D,K,pe)}}class Iu{constructor(D){this.property=D,this.value=new ou(D,void 0)}transitioned(D,K){return new Lc(this.property,this.value,K,E({},D.transition,this.transition),D.now)}untransitioned(){return new Lc(this.property,this.value,null,{},0)}}class Zu{constructor(D){this._properties=D,this._values=Object.create(D.defaultTransitionablePropertyValues)}getValue(D){return u(this._values[D].value.value)}setValue(D,K){Object.prototype.hasOwnProperty.call(this._values,D)||(this._values[D]=new Iu(this._values[D].property)),this._values[D].value=new ou(this._values[D].property,K===null?void 0:u(K))}getTransition(D){return u(this._values[D].transition)}setTransition(D,K){Object.prototype.hasOwnProperty.call(this._values,D)||(this._values[D]=new Iu(this._values[D].property)),this._values[D].transition=u(K)||void 0}serialize(){let D={};for(let K of Object.keys(this._values)){let pe=this.getValue(K);pe!==void 0&&(D[K]=pe);let ke=this.getTransition(K);ke!==void 0&&(D[`${K}-transition`]=ke)}return D}transitioned(D,K){let pe=new yu(this._properties);for(let ke of Object.keys(this._values))pe._values[ke]=this._values[ke].transitioned(D,K._values[ke]);return pe}untransitioned(){let D=new yu(this._properties);for(let K of Object.keys(this._values))D._values[K]=this._values[K].untransitioned();return D}}class Lc{constructor(D,K,pe,ke,je){this.property=D,this.value=K,this.begin=je+ke.delay||0,this.end=this.begin+ke.duration||0,D.specification.transition&&(ke.delay||ke.duration)&&(this.prior=pe)}possiblyEvaluate(D,K,pe){let ke=D.now||0,je=this.value.possiblyEvaluate(D,K,pe),We=this.prior;if(We){if(ke>this.end)return this.prior=null,je;if(this.value.isDataDriven())return this.prior=null,je;if(ke<this.begin)return We.possiblyEvaluate(D,K,pe);{let ft=(ke-this.begin)/(this.end-this.begin);return this.property.interpolate(We.possiblyEvaluate(D,K,pe),je,function(Mt){if(Mt<=0)return 0;if(Mt>=1)return 1;let Ut=Mt*Mt,nr=Ut*Mt;return 4*(Mt<.5?nr:3*(Mt-Ut)+nr-.75)}(ft))}}return je}}class yu{constructor(D){this._properties=D,this._values=Object.create(D.defaultTransitioningPropertyValues)}possiblyEvaluate(D,K,pe){let ke=new gc(this._properties);for(let je of Object.keys(this._values))ke._values[je]=this._values[je].possiblyEvaluate(D,K,pe);return ke}hasTransition(){for(let D of Object.keys(this._values))if(this._values[D].prior)return!0;return!1}}class Pc{constructor(D){this._properties=D,this._values=Object.create(D.defaultPropertyValues)}hasValue(D){return this._values[D].value!==void 0}getValue(D){return u(this._values[D].value)}setValue(D,K){this._values[D]=new ou(this._values[D].property,K===null?void 0:u(K))}serialize(){let D={};for(let K of Object.keys(this._values)){let pe=this.getValue(K);pe!==void 0&&(D[K]=pe)}return D}possiblyEvaluate(D,K,pe){let ke=new gc(this._properties);for(let je of Object.keys(this._values))ke._values[je]=this._values[je].possiblyEvaluate(D,K,pe);return ke}}class wu{constructor(D,K,pe){this.property=D,this.value=K,this.parameters=pe}isConstant(){return this.value.kind===\"constant\"}constantOr(D){return this.value.kind===\"constant\"?this.value.value:D}evaluate(D,K,pe,ke){return this.property.evaluate(this.value,this.parameters,D,K,pe,ke)}}class gc{constructor(D){this._properties=D,this._values=Object.create(D.defaultPossiblyEvaluatedValues)}get(D){return this._values[D]}}class fo{constructor(D){this.specification=D}possiblyEvaluate(D,K){if(D.isDataDriven())throw new Error(\"Value should not be data driven\");return D.expression.evaluate(K)}interpolate(D,K,pe){let ke=Xn[this.specification.type];return ke?ke(D,K,pe):D}}class zo{constructor(D,K){this.specification=D,this.overrides=K}possiblyEvaluate(D,K,pe,ke){return new wu(this,D.expression.kind===\"constant\"||D.expression.kind===\"camera\"?{kind:\"constant\",value:D.expression.evaluate(K,null,{},pe,ke)}:D.expression,K)}interpolate(D,K,pe){if(D.value.kind!==\"constant\"||K.value.kind!==\"constant\")return D;if(D.value.value===void 0||K.value.value===void 0)return new wu(this,{kind:\"constant\",value:void 0},D.parameters);let ke=Xn[this.specification.type];if(ke){let je=ke(D.value.value,K.value.value,pe);return new wu(this,{kind:\"constant\",value:je},D.parameters)}return D}evaluate(D,K,pe,ke,je,We){return D.kind===\"constant\"?D.value:D.evaluate(K,pe,ke,je,We)}}class Ic extends zo{possiblyEvaluate(D,K,pe,ke){if(D.value===void 0)return new wu(this,{kind:\"constant\",value:void 0},K);if(D.expression.kind===\"constant\"){let je=D.expression.evaluate(K,null,{},pe,ke),We=D.property.specification.type===\"resolvedImage\"&&typeof je!=\"string\"?je.name:je,ft=this._calculate(We,We,We,K);return new wu(this,{kind:\"constant\",value:ft},K)}if(D.expression.kind===\"camera\"){let je=this._calculate(D.expression.evaluate({zoom:K.zoom-1}),D.expression.evaluate({zoom:K.zoom}),D.expression.evaluate({zoom:K.zoom+1}),K);return new wu(this,{kind:\"constant\",value:je},K)}return new wu(this,D.expression,K)}evaluate(D,K,pe,ke,je,We){if(D.kind===\"source\"){let ft=D.evaluate(K,pe,ke,je,We);return this._calculate(ft,ft,ft,K)}return D.kind===\"composite\"?this._calculate(D.evaluate({zoom:Math.floor(K.zoom)-1},pe,ke),D.evaluate({zoom:Math.floor(K.zoom)},pe,ke),D.evaluate({zoom:Math.floor(K.zoom)+1},pe,ke),K):D.value}_calculate(D,K,pe,ke){return ke.zoom>ke.zoomHistory.lastIntegerZoom?{from:D,to:K}:{from:pe,to:K}}interpolate(D){return D}}class lc{constructor(D){this.specification=D}possiblyEvaluate(D,K,pe,ke){if(D.value!==void 0){if(D.expression.kind===\"constant\"){let je=D.expression.evaluate(K,null,{},pe,ke);return this._calculate(je,je,je,K)}return this._calculate(D.expression.evaluate(new Ls(Math.floor(K.zoom-1),K)),D.expression.evaluate(new Ls(Math.floor(K.zoom),K)),D.expression.evaluate(new Ls(Math.floor(K.zoom+1),K)),K)}}_calculate(D,K,pe,ke){return ke.zoom>ke.zoomHistory.lastIntegerZoom?{from:D,to:K}:{from:pe,to:K}}interpolate(D){return D}}class Yu{constructor(D){this.specification=D}possiblyEvaluate(D,K,pe,ke){return!!D.expression.evaluate(K,null,{},pe,ke)}interpolate(){return!1}}class Ne{constructor(D){this.properties=D,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(let K in D){let pe=D[K];pe.specification.overridable&&this.overridableProperties.push(K);let ke=this.defaultPropertyValues[K]=new ou(pe,void 0),je=this.defaultTransitionablePropertyValues[K]=new Iu(pe);this.defaultTransitioningPropertyValues[K]=je.untransitioned(),this.defaultPossiblyEvaluatedValues[K]=ke.possiblyEvaluate({})}}}_i(\"DataDrivenProperty\",zo),_i(\"DataConstantProperty\",fo),_i(\"CrossFadedDataDrivenProperty\",Ic),_i(\"CrossFadedProperty\",lc),_i(\"ColorRampProperty\",Yu);let R=\"-transition\";class ae extends ee{constructor(D,K){if(super(),this.id=D.id,this.type=D.type,this._featureFilter={filter:()=>!0,needGeometry:!1},D.type!==\"custom\"&&(this.metadata=D.metadata,this.minzoom=D.minzoom,this.maxzoom=D.maxzoom,D.type!==\"background\"&&(this.source=D.source,this.sourceLayer=D[\"source-layer\"],this.filter=D.filter),K.layout&&(this._unevaluatedLayout=new Pc(K.layout)),K.paint)){this._transitionablePaint=new Zu(K.paint);for(let pe in D.paint)this.setPaintProperty(pe,D.paint[pe],{validate:!1});for(let pe in D.layout)this.setLayoutProperty(pe,D.layout[pe],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new gc(K.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(D){return D===\"visibility\"?this.visibility:this._unevaluatedLayout.getValue(D)}setLayoutProperty(D,K,pe={}){K!=null&&this._validate(dn,`layers.${this.id}.layout.${D}`,D,K,pe)||(D!==\"visibility\"?this._unevaluatedLayout.setValue(D,K):this.visibility=K)}getPaintProperty(D){return D.endsWith(R)?this._transitionablePaint.getTransition(D.slice(0,-11)):this._transitionablePaint.getValue(D)}setPaintProperty(D,K,pe={}){if(K!=null&&this._validate(tn,`layers.${this.id}.paint.${D}`,D,K,pe))return!1;if(D.endsWith(R))return this._transitionablePaint.setTransition(D.slice(0,-11),K||void 0),!1;{let ke=this._transitionablePaint._values[D],je=ke.property.specification[\"property-type\"]===\"cross-faded-data-driven\",We=ke.value.isDataDriven(),ft=ke.value;this._transitionablePaint.setValue(D,K),this._handleSpecialPaintPropertyUpdate(D);let Mt=this._transitionablePaint._values[D].value;return Mt.isDataDriven()||We||je||this._handleOverridablePaintPropertyUpdate(D,ft,Mt)}}_handleSpecialPaintPropertyUpdate(D){}_handleOverridablePaintPropertyUpdate(D,K,pe){return!1}isHidden(D){return!!(this.minzoom&&D<this.minzoom)||!!(this.maxzoom&&D>=this.maxzoom)||this.visibility===\"none\"}updateTransitions(D){this._transitioningPaint=this._transitionablePaint.transitioned(D,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(D,K){D.getCrossfadeParameters&&(this._crossfadeParameters=D.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(D,void 0,K)),this.paint=this._transitioningPaint.possiblyEvaluate(D,void 0,K)}serialize(){let D={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(D.layout=D.layout||{},D.layout.visibility=this.visibility),p(D,(K,pe)=>!(K===void 0||pe===\"layout\"&&!Object.keys(K).length||pe===\"paint\"&&!Object.keys(K).length))}_validate(D,K,pe,ke,je={}){return(!je||je.validate!==!1)&&Ri(this,D.call(hi,{key:K,layerType:this.type,objectKey:pe,value:ke,styleSpec:re,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(let D in this.paint._values){let K=this.paint.get(D);if(K instanceof wu&&Jl(K.property.specification)&&(K.value.kind===\"source\"||K.value.kind===\"composite\")&&K.value.isStateDependent)return!0}return!1}}let we={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class Se{constructor(D,K){this._structArray=D,this._pos1=K*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class Oe{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(D,K){return D._trim(),K&&(D.isTransferred=!0,K.push(D.arrayBuffer)),{length:D.length,arrayBuffer:D.arrayBuffer}}static deserialize(D){let K=Object.create(this.prototype);return K.arrayBuffer=D.arrayBuffer,K.length=D.length,K.capacity=D.arrayBuffer.byteLength/K.bytesPerElement,K._refreshViews(),K}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(D){this.reserve(D),this.length=D}reserve(D){if(D>this.capacity){this.capacity=Math.max(D,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);let K=this.uint8;this._refreshViews(),K&&this.uint8.set(K)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function pt(H,D=1){let K=0,pe=0;return{members:H.map(ke=>{let je=we[ke.type].BYTES_PER_ELEMENT,We=K=At(K,Math.max(D,je)),ft=ke.components||1;return pe=Math.max(pe,je),K+=je*ft,{name:ke.name,type:ke.type,components:ft,offset:We}}),size:At(K,Math.max(pe,D)),alignment:D}}function At(H,D){return Math.ceil(H/D)*D}class Bt extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(D,K){let pe=this.length;return this.resize(pe+1),this.emplace(pe,D,K)}emplace(D,K,pe){let ke=2*D;return this.int16[ke+0]=K,this.int16[ke+1]=pe,D}}Bt.prototype.bytesPerElement=4,_i(\"StructArrayLayout2i4\",Bt);class $t extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(D,K,pe){let ke=this.length;return this.resize(ke+1),this.emplace(ke,D,K,pe)}emplace(D,K,pe,ke){let je=3*D;return this.int16[je+0]=K,this.int16[je+1]=pe,this.int16[je+2]=ke,D}}$t.prototype.bytesPerElement=6,_i(\"StructArrayLayout3i6\",$t);class br extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke){let je=this.length;return this.resize(je+1),this.emplace(je,D,K,pe,ke)}emplace(D,K,pe,ke,je){let We=4*D;return this.int16[We+0]=K,this.int16[We+1]=pe,this.int16[We+2]=ke,this.int16[We+3]=je,D}}br.prototype.bytesPerElement=8,_i(\"StructArrayLayout4i8\",br);class Ar extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke,je,We){let ft=this.length;return this.resize(ft+1),this.emplace(ft,D,K,pe,ke,je,We)}emplace(D,K,pe,ke,je,We,ft){let Mt=6*D;return this.int16[Mt+0]=K,this.int16[Mt+1]=pe,this.int16[Mt+2]=ke,this.int16[Mt+3]=je,this.int16[Mt+4]=We,this.int16[Mt+5]=ft,D}}Ar.prototype.bytesPerElement=12,_i(\"StructArrayLayout2i4i12\",Ar);class Yr extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke,je,We){let ft=this.length;return this.resize(ft+1),this.emplace(ft,D,K,pe,ke,je,We)}emplace(D,K,pe,ke,je,We,ft){let Mt=4*D,Ut=8*D;return this.int16[Mt+0]=K,this.int16[Mt+1]=pe,this.uint8[Ut+4]=ke,this.uint8[Ut+5]=je,this.uint8[Ut+6]=We,this.uint8[Ut+7]=ft,D}}Yr.prototype.bytesPerElement=8,_i(\"StructArrayLayout2i4ub8\",Yr);class sa extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(D,K){let pe=this.length;return this.resize(pe+1),this.emplace(pe,D,K)}emplace(D,K,pe){let ke=2*D;return this.float32[ke+0]=K,this.float32[ke+1]=pe,D}}sa.prototype.bytesPerElement=8,_i(\"StructArrayLayout2f8\",sa);class He extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke,je,We,ft,Mt,Ut,nr){let Mr=this.length;return this.resize(Mr+1),this.emplace(Mr,D,K,pe,ke,je,We,ft,Mt,Ut,nr)}emplace(D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr){let zr=10*D;return this.uint16[zr+0]=K,this.uint16[zr+1]=pe,this.uint16[zr+2]=ke,this.uint16[zr+3]=je,this.uint16[zr+4]=We,this.uint16[zr+5]=ft,this.uint16[zr+6]=Mt,this.uint16[zr+7]=Ut,this.uint16[zr+8]=nr,this.uint16[zr+9]=Mr,D}}He.prototype.bytesPerElement=20,_i(\"StructArrayLayout10ui20\",He);class Je extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr,zr){let Hr=this.length;return this.resize(Hr+1),this.emplace(Hr,D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr,zr)}emplace(D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr,zr,Hr){let oa=12*D;return this.int16[oa+0]=K,this.int16[oa+1]=pe,this.int16[oa+2]=ke,this.int16[oa+3]=je,this.uint16[oa+4]=We,this.uint16[oa+5]=ft,this.uint16[oa+6]=Mt,this.uint16[oa+7]=Ut,this.int16[oa+8]=nr,this.int16[oa+9]=Mr,this.int16[oa+10]=zr,this.int16[oa+11]=Hr,D}}Je.prototype.bytesPerElement=24,_i(\"StructArrayLayout4i4ui4i24\",Je);class ut extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(D,K,pe){let ke=this.length;return this.resize(ke+1),this.emplace(ke,D,K,pe)}emplace(D,K,pe,ke){let je=3*D;return this.float32[je+0]=K,this.float32[je+1]=pe,this.float32[je+2]=ke,D}}ut.prototype.bytesPerElement=12,_i(\"StructArrayLayout3f12\",ut);class dt extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(D){let K=this.length;return this.resize(K+1),this.emplace(K,D)}emplace(D,K){return this.uint32[1*D+0]=K,D}}dt.prototype.bytesPerElement=4,_i(\"StructArrayLayout1ul4\",dt);class Ct extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke,je,We,ft,Mt,Ut){let nr=this.length;return this.resize(nr+1),this.emplace(nr,D,K,pe,ke,je,We,ft,Mt,Ut)}emplace(D,K,pe,ke,je,We,ft,Mt,Ut,nr){let Mr=10*D,zr=5*D;return this.int16[Mr+0]=K,this.int16[Mr+1]=pe,this.int16[Mr+2]=ke,this.int16[Mr+3]=je,this.int16[Mr+4]=We,this.int16[Mr+5]=ft,this.uint32[zr+3]=Mt,this.uint16[Mr+8]=Ut,this.uint16[Mr+9]=nr,D}}Ct.prototype.bytesPerElement=20,_i(\"StructArrayLayout6i1ul2ui20\",Ct);class wt extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke,je,We){let ft=this.length;return this.resize(ft+1),this.emplace(ft,D,K,pe,ke,je,We)}emplace(D,K,pe,ke,je,We,ft){let Mt=6*D;return this.int16[Mt+0]=K,this.int16[Mt+1]=pe,this.int16[Mt+2]=ke,this.int16[Mt+3]=je,this.int16[Mt+4]=We,this.int16[Mt+5]=ft,D}}wt.prototype.bytesPerElement=12,_i(\"StructArrayLayout2i2i2i12\",wt);class Dt extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke,je){let We=this.length;return this.resize(We+1),this.emplace(We,D,K,pe,ke,je)}emplace(D,K,pe,ke,je,We){let ft=4*D,Mt=8*D;return this.float32[ft+0]=K,this.float32[ft+1]=pe,this.float32[ft+2]=ke,this.int16[Mt+6]=je,this.int16[Mt+7]=We,D}}Dt.prototype.bytesPerElement=16,_i(\"StructArrayLayout2f1f2i16\",Dt);class ur extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke,je,We){let ft=this.length;return this.resize(ft+1),this.emplace(ft,D,K,pe,ke,je,We)}emplace(D,K,pe,ke,je,We,ft){let Mt=16*D,Ut=4*D,nr=8*D;return this.uint8[Mt+0]=K,this.uint8[Mt+1]=pe,this.float32[Ut+1]=ke,this.float32[Ut+2]=je,this.int16[nr+6]=We,this.int16[nr+7]=ft,D}}ur.prototype.bytesPerElement=16,_i(\"StructArrayLayout2ub2f2i16\",ur);class mr extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(D,K,pe){let ke=this.length;return this.resize(ke+1),this.emplace(ke,D,K,pe)}emplace(D,K,pe,ke){let je=3*D;return this.uint16[je+0]=K,this.uint16[je+1]=pe,this.uint16[je+2]=ke,D}}mr.prototype.bytesPerElement=6,_i(\"StructArrayLayout3ui6\",mr);class Er extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr,zr,Hr,oa,va,Ga,Qa){let Yi=this.length;return this.resize(Yi+1),this.emplace(Yi,D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr,zr,Hr,oa,va,Ga,Qa)}emplace(D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr,zr,Hr,oa,va,Ga,Qa,Yi){let xi=24*D,Hi=12*D,rn=48*D;return this.int16[xi+0]=K,this.int16[xi+1]=pe,this.uint16[xi+2]=ke,this.uint16[xi+3]=je,this.uint32[Hi+2]=We,this.uint32[Hi+3]=ft,this.uint32[Hi+4]=Mt,this.uint16[xi+10]=Ut,this.uint16[xi+11]=nr,this.uint16[xi+12]=Mr,this.float32[Hi+7]=zr,this.float32[Hi+8]=Hr,this.uint8[rn+36]=oa,this.uint8[rn+37]=va,this.uint8[rn+38]=Ga,this.uint32[Hi+10]=Qa,this.int16[xi+22]=Yi,D}}Er.prototype.bytesPerElement=48,_i(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Er);class Br extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr,zr,Hr,oa,va,Ga,Qa,Yi,xi,Hi,rn,jn,ko,vs,go,Dn,is,Vo){let Bo=this.length;return this.resize(Bo+1),this.emplace(Bo,D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr,zr,Hr,oa,va,Ga,Qa,Yi,xi,Hi,rn,jn,ko,vs,go,Dn,is,Vo)}emplace(D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr,zr,Hr,oa,va,Ga,Qa,Yi,xi,Hi,rn,jn,ko,vs,go,Dn,is,Vo,Bo){let _n=32*D,us=16*D;return this.int16[_n+0]=K,this.int16[_n+1]=pe,this.int16[_n+2]=ke,this.int16[_n+3]=je,this.int16[_n+4]=We,this.int16[_n+5]=ft,this.int16[_n+6]=Mt,this.int16[_n+7]=Ut,this.uint16[_n+8]=nr,this.uint16[_n+9]=Mr,this.uint16[_n+10]=zr,this.uint16[_n+11]=Hr,this.uint16[_n+12]=oa,this.uint16[_n+13]=va,this.uint16[_n+14]=Ga,this.uint16[_n+15]=Qa,this.uint16[_n+16]=Yi,this.uint16[_n+17]=xi,this.uint16[_n+18]=Hi,this.uint16[_n+19]=rn,this.uint16[_n+20]=jn,this.uint16[_n+21]=ko,this.uint16[_n+22]=vs,this.uint32[us+12]=go,this.float32[us+13]=Dn,this.float32[us+14]=is,this.uint16[_n+30]=Vo,this.uint16[_n+31]=Bo,D}}Br.prototype.bytesPerElement=64,_i(\"StructArrayLayout8i15ui1ul2f2ui64\",Br);class Qr extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(D){let K=this.length;return this.resize(K+1),this.emplace(K,D)}emplace(D,K){return this.float32[1*D+0]=K,D}}Qr.prototype.bytesPerElement=4,_i(\"StructArrayLayout1f4\",Qr);class ga extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(D,K,pe){let ke=this.length;return this.resize(ke+1),this.emplace(ke,D,K,pe)}emplace(D,K,pe,ke){let je=3*D;return this.uint16[6*D+0]=K,this.float32[je+1]=pe,this.float32[je+2]=ke,D}}ga.prototype.bytesPerElement=12,_i(\"StructArrayLayout1ui2f12\",ga);class Sa extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(D,K,pe){let ke=this.length;return this.resize(ke+1),this.emplace(ke,D,K,pe)}emplace(D,K,pe,ke){let je=4*D;return this.uint32[2*D+0]=K,this.uint16[je+2]=pe,this.uint16[je+3]=ke,D}}Sa.prototype.bytesPerElement=8,_i(\"StructArrayLayout1ul2ui8\",Sa);class Oa extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(D,K){let pe=this.length;return this.resize(pe+1),this.emplace(pe,D,K)}emplace(D,K,pe){let ke=2*D;return this.uint16[ke+0]=K,this.uint16[ke+1]=pe,D}}Oa.prototype.bytesPerElement=4,_i(\"StructArrayLayout2ui4\",Oa);class di extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(D){let K=this.length;return this.resize(K+1),this.emplace(K,D)}emplace(D,K){return this.uint16[1*D+0]=K,D}}di.prototype.bytesPerElement=2,_i(\"StructArrayLayout1ui2\",di);class Wi extends Oe{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(D,K,pe,ke){let je=this.length;return this.resize(je+1),this.emplace(je,D,K,pe,ke)}emplace(D,K,pe,ke,je){let We=4*D;return this.float32[We+0]=K,this.float32[We+1]=pe,this.float32[We+2]=ke,this.float32[We+3]=je,D}}Wi.prototype.bytesPerElement=16,_i(\"StructArrayLayout4f16\",Wi);class Gi extends Se{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new i(this.anchorPointX,this.anchorPointY)}}Gi.prototype.size=20;class on extends Ct{get(D){return new Gi(this,D)}}_i(\"CollisionBoxArray\",on);class Tn extends Se{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(D){this._structArray.uint8[this._pos1+37]=D}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(D){this._structArray.uint8[this._pos1+38]=D}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(D){this._structArray.uint32[this._pos4+10]=D}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Tn.prototype.size=48;class Wn extends Er{get(D){return new Tn(this,D)}}_i(\"PlacedSymbolArray\",Wn);class Bn extends Se{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(D){this._structArray.uint32[this._pos4+12]=D}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}Bn.prototype.size=64;class Ao extends Br{get(D){return new Bn(this,D)}}_i(\"SymbolInstanceArray\",Ao);class ss extends Qr{getoffsetX(D){return this.float32[1*D+0]}}_i(\"GlyphOffsetArray\",ss);class So extends $t{getx(D){return this.int16[3*D+0]}gety(D){return this.int16[3*D+1]}gettileUnitDistanceFromAnchor(D){return this.int16[3*D+2]}}_i(\"SymbolLineVertexArray\",So);class Ko extends Se{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}Ko.prototype.size=12;class hs extends ga{get(D){return new Ko(this,D)}}_i(\"TextAnchorOffsetArray\",hs);class ll extends Se{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}ll.prototype.size=8;class Js extends Sa{get(D){return new ll(this,D)}}_i(\"FeatureIndexArray\",Js);class es extends Bt{}class ts extends Bt{}class Pl extends Bt{}class $l extends Ar{}class Ru extends Yr{}class hu extends sa{}class wl extends He{}class su extends Je{}class uc extends ut{}class ql extends dt{}class Vl extends wt{}class de extends ur{}class De extends mr{}class et extends Oa{}let vt=pt([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:_t}=vt;class St{constructor(D=[]){this.segments=D}prepareSegment(D,K,pe,ke){let je=this.segments[this.segments.length-1];return D>St.MAX_VERTEX_ARRAY_LENGTH&&h(`Max vertices per segment is ${St.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${D}`),(!je||je.vertexLength+D>St.MAX_VERTEX_ARRAY_LENGTH||je.sortKey!==ke)&&(je={vertexOffset:K.length,primitiveOffset:pe.length,vertexLength:0,primitiveLength:0},ke!==void 0&&(je.sortKey=ke),this.segments.push(je)),je}get(){return this.segments}destroy(){for(let D of this.segments)for(let K in D.vaos)D.vaos[K].destroy()}static simpleSegment(D,K,pe,ke){return new St([{vertexOffset:D,primitiveOffset:K,vertexLength:pe,primitiveLength:ke,vaos:{},sortKey:0}])}}function ar(H,D){return 256*(H=w(Math.floor(H),0,255))+w(Math.floor(D),0,255)}St.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,_i(\"SegmentVector\",St);let zt=pt([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var gr={exports:{}},Vr={exports:{}};Vr.exports=function(H,D){var K,pe,ke,je,We,ft,Mt,Ut;for(pe=H.length-(K=3&H.length),ke=D,We=3432918353,ft=461845907,Ut=0;Ut<pe;)Mt=255&H.charCodeAt(Ut)|(255&H.charCodeAt(++Ut))<<8|(255&H.charCodeAt(++Ut))<<16|(255&H.charCodeAt(++Ut))<<24,++Ut,ke=27492+(65535&(je=5*(65535&(ke=(ke^=Mt=(65535&(Mt=(Mt=(65535&Mt)*We+(((Mt>>>16)*We&65535)<<16)&4294967295)<<15|Mt>>>17))*ft+(((Mt>>>16)*ft&65535)<<16)&4294967295)<<13|ke>>>19))+((5*(ke>>>16)&65535)<<16)&4294967295))+((58964+(je>>>16)&65535)<<16);switch(Mt=0,K){case 3:Mt^=(255&H.charCodeAt(Ut+2))<<16;case 2:Mt^=(255&H.charCodeAt(Ut+1))<<8;case 1:ke^=Mt=(65535&(Mt=(Mt=(65535&(Mt^=255&H.charCodeAt(Ut)))*We+(((Mt>>>16)*We&65535)<<16)&4294967295)<<15|Mt>>>17))*ft+(((Mt>>>16)*ft&65535)<<16)&4294967295}return ke^=H.length,ke=2246822507*(65535&(ke^=ke>>>16))+((2246822507*(ke>>>16)&65535)<<16)&4294967295,ke=3266489909*(65535&(ke^=ke>>>13))+((3266489909*(ke>>>16)&65535)<<16)&4294967295,(ke^=ke>>>16)>>>0};var Wr=Vr.exports,Ta={exports:{}};Ta.exports=function(H,D){for(var K,pe=H.length,ke=D^pe,je=0;pe>=4;)K=1540483477*(65535&(K=255&H.charCodeAt(je)|(255&H.charCodeAt(++je))<<8|(255&H.charCodeAt(++je))<<16|(255&H.charCodeAt(++je))<<24))+((1540483477*(K>>>16)&65535)<<16),ke=1540483477*(65535&ke)+((1540483477*(ke>>>16)&65535)<<16)^(K=1540483477*(65535&(K^=K>>>24))+((1540483477*(K>>>16)&65535)<<16)),pe-=4,++je;switch(pe){case 3:ke^=(255&H.charCodeAt(je+2))<<16;case 2:ke^=(255&H.charCodeAt(je+1))<<8;case 1:ke=1540483477*(65535&(ke^=255&H.charCodeAt(je)))+((1540483477*(ke>>>16)&65535)<<16)}return ke=1540483477*(65535&(ke^=ke>>>13))+((1540483477*(ke>>>16)&65535)<<16),(ke^=ke>>>15)>>>0};var ya=Wr,ri=Ta.exports;gr.exports=ya,gr.exports.murmur3=ya,gr.exports.murmur2=ri;var ni=r(gr.exports);class Ma{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(D,K,pe,ke){this.ids.push(Na(D)),this.positions.push(K,pe,ke)}getPositions(D){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");let K=Na(D),pe=0,ke=this.ids.length-1;for(;pe<ke;){let We=pe+ke>>1;this.ids[We]>=K?ke=We:pe=We+1}let je=[];for(;this.ids[pe]===K;)je.push({index:this.positions[3*pe],start:this.positions[3*pe+1],end:this.positions[3*pe+2]}),pe++;return je}static serialize(D,K){let pe=new Float64Array(D.ids),ke=new Uint32Array(D.positions);return Ka(pe,ke,0,pe.length-1),K&&K.push(pe.buffer,ke.buffer),{ids:pe,positions:ke}}static deserialize(D){let K=new Ma;return K.ids=D.ids,K.positions=D.positions,K.indexed=!0,K}}function Na(H){let D=+H;return!isNaN(D)&&D<=Number.MAX_SAFE_INTEGER?D:ni(String(H))}function Ka(H,D,K,pe){for(;K<pe;){let ke=H[K+pe>>1],je=K-1,We=pe+1;for(;;){do je++;while(H[je]<ke);do We--;while(H[We]>ke);if(je>=We)break;vi(H,je,We),vi(D,3*je,3*We),vi(D,3*je+1,3*We+1),vi(D,3*je+2,3*We+2)}We-K<pe-We?(Ka(H,D,K,We),K=We+1):(Ka(H,D,We+1,pe),pe=We)}}function vi(H,D,K){let pe=H[D];H[D]=H[K],H[K]=pe}_i(\"FeaturePositionMap\",Ma);class ui{constructor(D,K){this.gl=D.gl,this.location=K}}class Pa extends ui{constructor(D,K){super(D,K),this.current=0}set(D){this.current!==D&&(this.current=D,this.gl.uniform1f(this.location,D))}}class sn extends ui{constructor(D,K){super(D,K),this.current=[0,0,0,0]}set(D){D[0]===this.current[0]&&D[1]===this.current[1]&&D[2]===this.current[2]&&D[3]===this.current[3]||(this.current=D,this.gl.uniform4f(this.location,D[0],D[1],D[2],D[3]))}}class an extends ui{constructor(D,K){super(D,K),this.current=Wt.transparent}set(D){D.r===this.current.r&&D.g===this.current.g&&D.b===this.current.b&&D.a===this.current.a||(this.current=D,this.gl.uniform4f(this.location,D.r,D.g,D.b,D.a))}}let vn=new Float32Array(16);function Pn(H){return[ar(255*H.r,255*H.g),ar(255*H.b,255*H.a)]}class Zn{constructor(D,K,pe){this.value=D,this.uniformNames=K.map(ke=>`u_${ke}`),this.type=pe}setUniform(D,K,pe){D.set(pe.constantOr(this.value))}getBinding(D,K,pe){return this.type===\"color\"?new an(D,K):new Pa(D,K)}}class eo{constructor(D,K){this.uniformNames=K.map(pe=>`u_${pe}`),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(D,K){this.pixelRatioFrom=K.pixelRatio,this.pixelRatioTo=D.pixelRatio,this.patternFrom=K.tlbr,this.patternTo=D.tlbr}setUniform(D,K,pe,ke){let je=ke===\"u_pattern_to\"?this.patternTo:ke===\"u_pattern_from\"?this.patternFrom:ke===\"u_pixel_ratio_to\"?this.pixelRatioTo:ke===\"u_pixel_ratio_from\"?this.pixelRatioFrom:null;je&&D.set(je)}getBinding(D,K,pe){return pe.substr(0,9)===\"u_pattern\"?new sn(D,K):new Pa(D,K)}}class $o{constructor(D,K,pe,ke){this.expression=D,this.type=pe,this.maxValue=0,this.paintVertexAttributes=K.map(je=>({name:`a_${je}`,type:\"Float32\",components:pe===\"color\"?2:1,offset:0})),this.paintVertexArray=new ke}populatePaintArray(D,K,pe,ke,je){let We=this.paintVertexArray.length,ft=this.expression.evaluate(new Ls(0),K,{},ke,[],je);this.paintVertexArray.resize(D),this._setPaintValue(We,D,ft)}updatePaintArray(D,K,pe,ke){let je=this.expression.evaluate({zoom:0},pe,ke);this._setPaintValue(D,K,je)}_setPaintValue(D,K,pe){if(this.type===\"color\"){let ke=Pn(pe);for(let je=D;je<K;je++)this.paintVertexArray.emplace(je,ke[0],ke[1])}else{for(let ke=D;ke<K;ke++)this.paintVertexArray.emplace(ke,pe);this.maxValue=Math.max(this.maxValue,Math.abs(pe))}}upload(D){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=D.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class io{constructor(D,K,pe,ke,je,We){this.expression=D,this.uniformNames=K.map(ft=>`u_${ft}_t`),this.type=pe,this.useIntegerZoom=ke,this.zoom=je,this.maxValue=0,this.paintVertexAttributes=K.map(ft=>({name:`a_${ft}`,type:\"Float32\",components:pe===\"color\"?4:2,offset:0})),this.paintVertexArray=new We}populatePaintArray(D,K,pe,ke,je){let We=this.expression.evaluate(new Ls(this.zoom),K,{},ke,[],je),ft=this.expression.evaluate(new Ls(this.zoom+1),K,{},ke,[],je),Mt=this.paintVertexArray.length;this.paintVertexArray.resize(D),this._setPaintValue(Mt,D,We,ft)}updatePaintArray(D,K,pe,ke){let je=this.expression.evaluate({zoom:this.zoom},pe,ke),We=this.expression.evaluate({zoom:this.zoom+1},pe,ke);this._setPaintValue(D,K,je,We)}_setPaintValue(D,K,pe,ke){if(this.type===\"color\"){let je=Pn(pe),We=Pn(ke);for(let ft=D;ft<K;ft++)this.paintVertexArray.emplace(ft,je[0],je[1],We[0],We[1])}else{for(let je=D;je<K;je++)this.paintVertexArray.emplace(je,pe,ke);this.maxValue=Math.max(this.maxValue,Math.abs(pe),Math.abs(ke))}}upload(D){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=D.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(D,K){let pe=this.useIntegerZoom?Math.floor(K.zoom):K.zoom,ke=w(this.expression.interpolationFactor(pe,this.zoom,this.zoom+1),0,1);D.set(ke)}getBinding(D,K,pe){return new Pa(D,K)}}class Zo{constructor(D,K,pe,ke,je,We){this.expression=D,this.type=K,this.useIntegerZoom=pe,this.zoom=ke,this.layerId=We,this.zoomInPaintVertexArray=new je,this.zoomOutPaintVertexArray=new je}populatePaintArray(D,K,pe){let ke=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(D),this.zoomOutPaintVertexArray.resize(D),this._setPaintValues(ke,D,K.patterns&&K.patterns[this.layerId],pe)}updatePaintArray(D,K,pe,ke,je){this._setPaintValues(D,K,pe.patterns&&pe.patterns[this.layerId],je)}_setPaintValues(D,K,pe,ke){if(!ke||!pe)return;let{min:je,mid:We,max:ft}=pe,Mt=ke[je],Ut=ke[We],nr=ke[ft];if(Mt&&Ut&&nr)for(let Mr=D;Mr<K;Mr++)this.zoomInPaintVertexArray.emplace(Mr,Ut.tl[0],Ut.tl[1],Ut.br[0],Ut.br[1],Mt.tl[0],Mt.tl[1],Mt.br[0],Mt.br[1],Ut.pixelRatio,Mt.pixelRatio),this.zoomOutPaintVertexArray.emplace(Mr,Ut.tl[0],Ut.tl[1],Ut.br[0],Ut.br[1],nr.tl[0],nr.tl[1],nr.br[0],nr.br[1],Ut.pixelRatio,nr.pixelRatio)}upload(D){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=D.createVertexBuffer(this.zoomInPaintVertexArray,zt.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=D.createVertexBuffer(this.zoomOutPaintVertexArray,zt.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class ul{constructor(D,K,pe){this.binders={},this._buffers=[];let ke=[];for(let je in D.paint._values){if(!pe(je))continue;let We=D.paint.get(je);if(!(We instanceof wu&&Jl(We.property.specification)))continue;let ft=_l(je,D.type),Mt=We.value,Ut=We.property.specification.type,nr=We.property.useIntegerZoom,Mr=We.property.specification[\"property-type\"],zr=Mr===\"cross-faded\"||Mr===\"cross-faded-data-driven\";if(Mt.kind===\"constant\")this.binders[je]=zr?new eo(Mt.value,ft):new Zn(Mt.value,ft,Ut),ke.push(`/u_${je}`);else if(Mt.kind===\"source\"||zr){let Hr=gn(je,Ut,\"source\");this.binders[je]=zr?new Zo(Mt,Ut,nr,K,Hr,D.id):new $o(Mt,ft,Ut,Hr),ke.push(`/a_${je}`)}else{let Hr=gn(je,Ut,\"composite\");this.binders[je]=new io(Mt,ft,Ut,nr,K,Hr),ke.push(`/z_${je}`)}}this.cacheKey=ke.sort().join(\"\")}getMaxValue(D){let K=this.binders[D];return K instanceof $o||K instanceof io?K.maxValue:0}populatePaintArrays(D,K,pe,ke,je){for(let We in this.binders){let ft=this.binders[We];(ft instanceof $o||ft instanceof io||ft instanceof Zo)&&ft.populatePaintArray(D,K,pe,ke,je)}}setConstantPatternPositions(D,K){for(let pe in this.binders){let ke=this.binders[pe];ke instanceof eo&&ke.setConstantPatternPositions(D,K)}}updatePaintArrays(D,K,pe,ke,je){let We=!1;for(let ft in D){let Mt=K.getPositions(ft);for(let Ut of Mt){let nr=pe.feature(Ut.index);for(let Mr in this.binders){let zr=this.binders[Mr];if((zr instanceof $o||zr instanceof io||zr instanceof Zo)&&zr.expression.isStateDependent===!0){let Hr=ke.paint.get(Mr);zr.expression=Hr.value,zr.updatePaintArray(Ut.start,Ut.end,nr,D[ft],je),We=!0}}}}return We}defines(){let D=[];for(let K in this.binders){let pe=this.binders[K];(pe instanceof Zn||pe instanceof eo)&&D.push(...pe.uniformNames.map(ke=>`#define HAS_UNIFORM_${ke}`))}return D}getBinderAttributes(){let D=[];for(let K in this.binders){let pe=this.binders[K];if(pe instanceof $o||pe instanceof io)for(let ke=0;ke<pe.paintVertexAttributes.length;ke++)D.push(pe.paintVertexAttributes[ke].name);else if(pe instanceof Zo)for(let ke=0;ke<zt.members.length;ke++)D.push(zt.members[ke].name)}return D}getBinderUniforms(){let D=[];for(let K in this.binders){let pe=this.binders[K];if(pe instanceof Zn||pe instanceof eo||pe instanceof io)for(let ke of pe.uniformNames)D.push(ke)}return D}getPaintVertexBuffers(){return this._buffers}getUniforms(D,K){let pe=[];for(let ke in this.binders){let je=this.binders[ke];if(je instanceof Zn||je instanceof eo||je instanceof io){for(let We of je.uniformNames)if(K[We]){let ft=je.getBinding(D,K[We],We);pe.push({name:We,property:ke,binding:ft})}}}return pe}setUniforms(D,K,pe,ke){for(let{name:je,property:We,binding:ft}of K)this.binders[We].setUniform(ft,ke,pe.get(We),je)}updatePaintBuffers(D){this._buffers=[];for(let K in this.binders){let pe=this.binders[K];if(D&&pe instanceof Zo){let ke=D.fromScale===2?pe.zoomInPaintVertexBuffer:pe.zoomOutPaintVertexBuffer;ke&&this._buffers.push(ke)}else(pe instanceof $o||pe instanceof io)&&pe.paintVertexBuffer&&this._buffers.push(pe.paintVertexBuffer)}}upload(D){for(let K in this.binders){let pe=this.binders[K];(pe instanceof $o||pe instanceof io||pe instanceof Zo)&&pe.upload(D)}this.updatePaintBuffers()}destroy(){for(let D in this.binders){let K=this.binders[D];(K instanceof $o||K instanceof io||K instanceof Zo)&&K.destroy()}}}class el{constructor(D,K,pe=()=>!0){this.programConfigurations={};for(let ke of D)this.programConfigurations[ke.id]=new ul(ke,K,pe);this.needsUpload=!1,this._featureMap=new Ma,this._bufferOffset=0}populatePaintArrays(D,K,pe,ke,je,We){for(let ft in this.programConfigurations)this.programConfigurations[ft].populatePaintArrays(D,K,ke,je,We);K.id!==void 0&&this._featureMap.add(K.id,pe,this._bufferOffset,D),this._bufferOffset=D,this.needsUpload=!0}updatePaintArrays(D,K,pe,ke){for(let je of pe)this.needsUpload=this.programConfigurations[je.id].updatePaintArrays(D,this._featureMap,K,je,ke)||this.needsUpload}get(D){return this.programConfigurations[D]}upload(D){if(this.needsUpload){for(let K in 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ft=ke.x,Mt=je.x,Ut=We.x,nr=ke.y,Mr=je.y,zr=We.y,Hr=ft<Mt?ft<Ut?ft:Ut:Mt<Ut?Mt:Ut,oa=nr<Mr?nr<zr?nr:zr:Mr<zr?Mr:zr,va=ft>Mt?ft>Ut?ft:Ut:Mt>Ut?Mt:Ut,Ga=nr>Mr?nr>zr?nr:zr:Mr>zr?Mr:zr,Qa=Y(Hr,oa,D,K,pe),Yi=Y(va,Ga,D,K,pe),xi=H.prevZ,Hi=H.nextZ;for(;xi&&xi.z>=Qa&&Hi&&Hi.z<=Yi;){if(xi.x>=Hr&&xi.x<=va&&xi.y>=oa&&xi.y<=Ga&&xi!==ke&&xi!==We&&te(ft,nr,Mt,Mr,Ut,zr,xi.x,xi.y)&&Ge(xi.prev,xi,xi.next)>=0||(xi=xi.prevZ,Hi.x>=Hr&&Hi.x<=va&&Hi.y>=oa&&Hi.y<=Ga&&Hi!==ke&&Hi!==We&&te(ft,nr,Mt,Mr,Ut,zr,Hi.x,Hi.y)&&Ge(Hi.prev,Hi,Hi.next)>=0))return!1;Hi=Hi.nextZ}for(;xi&&xi.z>=Qa;){if(xi.x>=Hr&&xi.x<=va&&xi.y>=oa&&xi.y<=Ga&&xi!==ke&&xi!==We&&te(ft,nr,Mt,Mr,Ut,zr,xi.x,xi.y)&&Ge(xi.prev,xi,xi.next)>=0)return!1;xi=xi.prevZ}for(;Hi&&Hi.z<=Yi;){if(Hi.x>=Hr&&Hi.x<=va&&Hi.y>=oa&&Hi.y<=Ga&&Hi!==ke&&Hi!==We&&te(ft,nr,Mt,Mr,Ut,zr,Hi.x,Hi.y)&&Ge(Hi.prev,Hi,Hi.next)>=0)return!1;Hi=Hi.nextZ}return!0}function bl(H,D){let K=H;do{let pe=K.prev,ke=K.next.next;!Le(pe,ke)&&$e(pe,K,K.next,ke)&&_r(pe,ke)&&_r(ke,pe)&&(D.push(pe.i,K.i,ke.i),gt(K),gt(K.next),K=H=ke),K=K.next}while(K!==H);return El(K)}function Hn(H,D,K,pe,ke,je){let We=H;do{let ft=We.next.next;for(;ft!==We.prev;){if(We.i!==ft.i&&me(We,ft)){let Mt=Fr(We,ft);return We=El(We,We.next),Mt=El(Mt,Mt.next),Ql(We,D,K,pe,ke,je,0),void Ql(Mt,D,K,pe,ke,je,0)}ft=ft.next}We=We.next}while(We!==H)}function Cl(H,D){return H.x-D.x}function Lo(H,D){let K=function(ke,je){let We=je,ft=ke.x,Mt=ke.y,Ut,nr=-1/0;do{if(Mt<=We.y&&Mt>=We.next.y&&We.next.y!==We.y){let va=We.x+(Mt-We.y)*(We.next.x-We.x)/(We.next.y-We.y);if(va<=ft&&va>nr&&(nr=va,Ut=We.x<We.next.x?We:We.next,va===ft))return Ut}We=We.next}while(We!==je);if(!Ut)return null;let Mr=Ut,zr=Ut.x,Hr=Ut.y,oa=1/0;We=Ut;do{if(ft>=We.x&&We.x>=zr&&ft!==We.x&&te(Mt<Hr?ft:nr,Mt,zr,Hr,Mt<Hr?nr:ft,Mt,We.x,We.y)){let va=Math.abs(Mt-We.y)/(ft-We.x);_r(We,ke)&&(va<oa||va===oa&&(We.x>Ut.x||We.x===Ut.x&&ve(Ut,We)))&&(Ut=We,oa=va)}We=We.next}while(We!==Mr);return Ut}(H,D);if(!K)return D;let pe=Fr(K,H);return El(pe,pe.next),El(K,K.next)}function ve(H,D){return Ge(H.prev,H,D.prev)<0&&Ge(D.next,H,H.next)<0}function Y(H,D,K,pe,ke){return(H=1431655765&((H=858993459&((H=252645135&((H=16711935&((H=(H-K)*ke|0)|H<<8))|H<<4))|H<<2))|H<<1))|(D=1431655765&((D=858993459&((D=252645135&((D=16711935&((D=(D-pe)*ke|0)|D<<8))|D<<4))|D<<2))|D<<1))<<1}function ye(H){let D=H,K=H;do(D.x<K.x||D.x===K.x&&D.y<K.y)&&(K=D),D=D.next;while(D!==H);return K}function te(H,D,K,pe,ke,je,We,ft){return(ke-We)*(D-ft)>=(H-We)*(je-ft)&&(H-We)*(pe-ft)>=(K-We)*(D-ft)&&(K-We)*(je-ft)>=(ke-We)*(pe-ft)}function me(H,D){return H.next.i!==D.i&&H.prev.i!==D.i&&!function(K,pe){let 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Mt=ft.evaluate({zoom:pe-1},K,{},ke.availableImages),Ut=ft.evaluate({zoom:pe},K,{},ke.availableImages),nr=ft.evaluate({zoom:pe+1},K,{},ke.availableImages);Mt=Mt&&Mt.name?Mt.name:Mt,Ut=Ut&&Ut.name?Ut.name:Ut,nr=nr&&nr.name?nr.name:nr,je[Mt]=!0,je[Ut]=!0,je[nr]=!0,K.patterns[We.id]={min:Mt,mid:Ut,max:nr}}}return K}class fr{constructor(D){this.zoom=D.zoom,this.overscaling=D.overscaling,this.layers=D.layers,this.layerIds=this.layers.map(K=>K.id),this.index=D.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Pl,this.indexArray=new De,this.indexArray2=new et,this.programConfigurations=new el(D.layers,D.zoom),this.segments=new St,this.segments2=new St,this.stateDependentLayerIds=this.layers.filter(K=>K.isStateDependent()).map(K=>K.id)}populate(D,K,pe){this.hasPattern=Ft(\"fill\",this.layers,K);let ke=this.layers[0].layout.get(\"fill-sort-key\"),je=!ke.isConstant(),We=[];for(let{feature:ft,id:Mt,index:Ut,sourceLayerIndex:nr}of D){let Mr=this.layers[0]._featureFilter.needGeometry,zr=Gl(ft,Mr);if(!this.layers[0]._featureFilter.filter(new Ls(this.zoom),zr,pe))continue;let Hr=je?ke.evaluate(zr,{},pe,K.availableImages):void 0,oa={id:Mt,properties:ft.properties,type:ft.type,sourceLayerIndex:nr,index:Ut,geometry:Mr?zr.geometry:Tl(ft),patterns:{},sortKey:Hr};We.push(oa)}je&&We.sort((ft,Mt)=>ft.sortKey-Mt.sortKey);for(let ft of We){let{geometry:Mt,index:Ut,sourceLayerIndex:nr}=ft;if(this.hasPattern){let Mr=ir(\"fill\",this.layers,ft,this.zoom,K);this.patternFeatures.push(Mr)}else this.addFeature(ft,Mt,Ut,pe,{});K.featureIndex.insert(D[Ut].feature,Mt,Ut,nr,this.index)}}update(D,K,pe){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(D,K,this.stateDependentLayers,pe)}addFeatures(D,K,pe){for(let ke of this.patternFeatures)this.addFeature(ke,ke.geometry,ke.index,K,pe)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(D){this.uploaded||(this.layoutVertexBuffer=D.createVertexBuffer(this.layoutVertexArray,Hl),this.indexBuffer=D.createIndexBuffer(this.indexArray),this.indexBuffer2=D.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(D),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())}addFeature(D,K,pe,ke,je){for(let We of Bc(K,500)){let ft=0;for(let Hr of We)ft+=Hr.length;let Mt=this.segments.prepareSegment(ft,this.layoutVertexArray,this.indexArray),Ut=Mt.vertexLength,nr=[],Mr=[];for(let Hr of We){if(Hr.length===0)continue;Hr!==We[0]&&Mr.push(nr.length/2);let oa=this.segments2.prepareSegment(Hr.length,this.layoutVertexArray,this.indexArray2),va=oa.vertexLength;this.layoutVertexArray.emplaceBack(Hr[0].x,Hr[0].y),this.indexArray2.emplaceBack(va+Hr.length-1,va),nr.push(Hr[0].x),nr.push(Hr[0].y);for(let Ga=1;Ga<Hr.length;Ga++)this.layoutVertexArray.emplaceBack(Hr[Ga].x,Hr[Ga].y),this.indexArray2.emplaceBack(va+Ga-1,va+Ga),nr.push(Hr[Ga].x),nr.push(Hr[Ga].y);oa.vertexLength+=Hr.length,oa.primitiveLength+=Hr.length}let zr=fs(nr,Mr);for(let Hr=0;Hr<zr.length;Hr+=3)this.indexArray.emplaceBack(Ut+zr[Hr],Ut+zr[Hr+1],Ut+zr[Hr+2]);Mt.vertexLength+=ft,Mt.primitiveLength+=zr.length/3}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,D,pe,je,ke)}}let sr,pr;_i(\"FillBucket\",fr,{omit:[\"layers\",\"patternFeatures\"]});var lr={get paint(){return pr=pr||new Ne({\"fill-antialias\":new fo(re.paint_fill[\"fill-antialias\"]),\"fill-opacity\":new zo(re.paint_fill[\"fill-opacity\"]),\"fill-color\":new zo(re.paint_fill[\"fill-color\"]),\"fill-outline-color\":new zo(re.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new fo(re.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new fo(re.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new Ic(re.paint_fill[\"fill-pattern\"])})},get layout(){return sr=sr||new Ne({\"fill-sort-key\":new zo(re.layout_fill[\"fill-sort-key\"])})}};class Xt extends ae{constructor(D){super(D,lr)}recalculate(D,K){super.recalculate(D,K);let pe=this.paint._values[\"fill-outline-color\"];pe.value.kind===\"constant\"&&pe.value.value===void 0&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])}createBucket(D){return new fr(D)}queryRadius(){return yn(this.paint.get(\"fill-translate\"))}queryIntersectsFeature(D,K,pe,ke,je,We,ft){return Yt(Oi(D,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),We.angle,ft),ke)}isTileClipped(){return!0}}let or=pt([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),qt=pt([{name:\"a_centroid\",components:2,type:\"Int16\"}],4),{members:Dr}=or;var Jr={},ba=o,yi=Xa;function Xa(H,D,K,pe,ke){this.properties={},this.extent=K,this.type=0,this._pbf=H,this._geometry=-1,this._keys=pe,this._values=ke,H.readFields(si,this,D)}function si(H,D,K){H==1?D.id=K.readVarint():H==2?function(pe,ke){for(var je=pe.readVarint()+pe.pos;pe.pos<je;){var We=ke._keys[pe.readVarint()],ft=ke._values[pe.readVarint()];ke.properties[We]=ft}}(K,D):H==3?D.type=K.readVarint():H==4&&(D._geometry=K.pos)}function Ji(H){for(var D,K,pe=0,ke=0,je=H.length,We=je-1;ke<je;We=ke++)pe+=((K=H[We]).x-(D=H[ke]).x)*(D.y+K.y);return pe}Xa.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],Xa.prototype.loadGeometry=function(){var H=this._pbf;H.pos=this._geometry;for(var D,K=H.readVarint()+H.pos,pe=1,ke=0,je=0,We=0,ft=[];H.pos<K;){if(ke<=0){var Mt=H.readVarint();pe=7&Mt,ke=Mt>>3}if(ke--,pe===1||pe===2)je+=H.readSVarint(),We+=H.readSVarint(),pe===1&&(D&&ft.push(D),D=[]),D.push(new ba(je,We));else{if(pe!==7)throw new Error(\"unknown command \"+pe);D&&D.push(D[0].clone())}}return D&&ft.push(D),ft},Xa.prototype.bbox=function(){var H=this._pbf;H.pos=this._geometry;for(var D=H.readVarint()+H.pos,K=1,pe=0,ke=0,je=0,We=1/0,ft=-1/0,Mt=1/0,Ut=-1/0;H.pos<D;){if(pe<=0){var nr=H.readVarint();K=7&nr,pe=nr>>3}if(pe--,K===1||K===2)(ke+=H.readSVarint())<We&&(We=ke),ke>ft&&(ft=ke),(je+=H.readSVarint())<Mt&&(Mt=je),je>Ut&&(Ut=je);else if(K!==7)throw new Error(\"unknown command \"+K)}return[We,Mt,ft,Ut]},Xa.prototype.toGeoJSON=function(H,D,K){var pe,ke,je=this.extent*Math.pow(2,K),We=this.extent*H,ft=this.extent*D,Mt=this.loadGeometry(),Ut=Xa.types[this.type];function nr(Hr){for(var oa=0;oa<Hr.length;oa++){var va=Hr[oa];Hr[oa]=[360*(va.x+We)/je-180,360/Math.PI*Math.atan(Math.exp((180-360*(va.y+ft)/je)*Math.PI/180))-90]}}switch(this.type){case 1:var Mr=[];for(pe=0;pe<Mt.length;pe++)Mr[pe]=Mt[pe][0];nr(Mt=Mr);break;case 2:for(pe=0;pe<Mt.length;pe++)nr(Mt[pe]);break;case 3:for(Mt=function(Hr){var oa=Hr.length;if(oa<=1)return[Hr];for(var va,Ga,Qa=[],Yi=0;Yi<oa;Yi++){var xi=Ji(Hr[Yi]);xi!==0&&(Ga===void 0&&(Ga=xi<0),Ga===xi<0?(va&&Qa.push(va),va=[Hr[Yi]]):va.push(Hr[Yi]))}return va&&Qa.push(va),Qa}(Mt),pe=0;pe<Mt.length;pe++)for(ke=0;ke<Mt[pe].length;ke++)nr(Mt[pe][ke])}Mt.length===1?Mt=Mt[0]:Ut=\"Multi\"+Ut;var zr={type:\"Feature\",geometry:{type:Ut,coordinates:Mt},properties:this.properties};return\"id\"in this&&(zr.id=this.id),zr};var Bi=yi,pi=wi;function wi(H,D){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=H,this._keys=[],this._values=[],this._features=[],H.readFields(Mi,this,D),this.length=this._features.length}function Mi(H,D,K){H===15?D.version=K.readVarint():H===1?D.name=K.readString():H===5?D.extent=K.readVarint():H===2?D._features.push(K.pos):H===3?D._keys.push(K.readString()):H===4&&D._values.push(function(pe){for(var ke=null,je=pe.readVarint()+pe.pos;pe.pos<je;){var We=pe.readVarint()>>3;ke=We===1?pe.readString():We===2?pe.readFloat():We===3?pe.readDouble():We===4?pe.readVarint64():We===5?pe.readVarint():We===6?pe.readSVarint():We===7?pe.readBoolean():null}return ke}(K))}wi.prototype.feature=function(H){if(H<0||H>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[H];var D=this._pbf.readVarint()+this._pbf.pos;return new Bi(this._pbf,D,this.extent,this._keys,this._values)};var Vi=pi;function cn(H,D,K){if(H===3){var pe=new Vi(K,K.readVarint()+K.pos);pe.length&&(D[pe.name]=pe)}}Jr.VectorTile=function(H,D){this.layers=H.readFields(cn,{},D)},Jr.VectorTileFeature=yi,Jr.VectorTileLayer=pi;let xo=Jr.VectorTileFeature.types,jo=Math.pow(2,13);function ks(H,D,K,pe,ke,je,We,ft){H.emplaceBack(D,K,2*Math.floor(pe*jo)+We,ke*jo*2,je*jo*2,Math.round(ft))}class Fo{constructor(D){this.zoom=D.zoom,this.overscaling=D.overscaling,this.layers=D.layers,this.layerIds=this.layers.map(K=>K.id),this.index=D.index,this.hasPattern=!1,this.layoutVertexArray=new $l,this.centroidVertexArray=new es,this.indexArray=new De,this.programConfigurations=new el(D.layers,D.zoom),this.segments=new St,this.stateDependentLayerIds=this.layers.filter(K=>K.isStateDependent()).map(K=>K.id)}populate(D,K,pe){this.features=[],this.hasPattern=Ft(\"fill-extrusion\",this.layers,K);for(let{feature:ke,id:je,index:We,sourceLayerIndex:ft}of D){let Mt=this.layers[0]._featureFilter.needGeometry,Ut=Gl(ke,Mt);if(!this.layers[0]._featureFilter.filter(new Ls(this.zoom),Ut,pe))continue;let nr={id:je,sourceLayerIndex:ft,index:We,geometry:Mt?Ut.geometry:Tl(ke),properties:ke.properties,type:ke.type,patterns:{}};this.hasPattern?this.features.push(ir(\"fill-extrusion\",this.layers,nr,this.zoom,K)):this.addFeature(nr,nr.geometry,We,pe,{}),K.featureIndex.insert(ke,nr.geometry,We,ft,this.index,!0)}}addFeatures(D,K,pe){for(let ke of this.features){let{geometry:je}=ke;this.addFeature(ke,je,ke.index,K,pe)}}update(D,K,pe){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(D,K,this.stateDependentLayers,pe)}isEmpty(){return this.layoutVertexArray.length===0&&this.centroidVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(D){this.uploaded||(this.layoutVertexBuffer=D.createVertexBuffer(this.layoutVertexArray,Dr),this.centroidVertexBuffer=D.createVertexBuffer(this.centroidVertexArray,qt.members,!0),this.indexBuffer=D.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(D),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(D,K,pe,ke,je){for(let We of Bc(K,500)){let ft={x:0,y:0,vertexCount:0},Mt=0;for(let oa of We)Mt+=oa.length;let Ut=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(let oa of We){if(oa.length===0||Hs(oa))continue;let va=0;for(let Ga=0;Ga<oa.length;Ga++){let Qa=oa[Ga];if(Ga>=1){let Yi=oa[Ga-1];if(!bs(Qa,Yi)){Ut.vertexLength+4>St.MAX_VERTEX_ARRAY_LENGTH&&(Ut=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));let xi=Qa.sub(Yi)._perp()._unit(),Hi=Yi.dist(Qa);va+Hi>32768&&(va=0),ks(this.layoutVertexArray,Qa.x,Qa.y,xi.x,xi.y,0,0,va),ks(this.layoutVertexArray,Qa.x,Qa.y,xi.x,xi.y,0,1,va),ft.x+=2*Qa.x,ft.y+=2*Qa.y,ft.vertexCount+=2,va+=Hi,ks(this.layoutVertexArray,Yi.x,Yi.y,xi.x,xi.y,0,0,va),ks(this.layoutVertexArray,Yi.x,Yi.y,xi.x,xi.y,0,1,va),ft.x+=2*Yi.x,ft.y+=2*Yi.y,ft.vertexCount+=2;let rn=Ut.vertexLength;this.indexArray.emplaceBack(rn,rn+2,rn+1),this.indexArray.emplaceBack(rn+1,rn+2,rn+3),Ut.vertexLength+=4,Ut.primitiveLength+=2}}}}if(Ut.vertexLength+Mt>St.MAX_VERTEX_ARRAY_LENGTH&&(Ut=this.segments.prepareSegment(Mt,this.layoutVertexArray,this.indexArray)),xo[D.type]!==\"Polygon\")continue;let nr=[],Mr=[],zr=Ut.vertexLength;for(let oa of We)if(oa.length!==0){oa!==We[0]&&Mr.push(nr.length/2);for(let va=0;va<oa.length;va++){let Ga=oa[va];ks(this.layoutVertexArray,Ga.x,Ga.y,0,0,1,1,0),ft.x+=Ga.x,ft.y+=Ga.y,ft.vertexCount+=1,nr.push(Ga.x),nr.push(Ga.y)}}let Hr=fs(nr,Mr);for(let oa=0;oa<Hr.length;oa+=3)this.indexArray.emplaceBack(zr+Hr[oa],zr+Hr[oa+2],zr+Hr[oa+1]);Ut.primitiveLength+=Hr.length/3,Ut.vertexLength+=Mt;for(let oa=0;oa<ft.vertexCount;oa++){let va=Math.floor(ft.x/ft.vertexCount),Ga=Math.floor(ft.y/ft.vertexCount);this.centroidVertexArray.emplaceBack(va,Ga)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,D,pe,je,ke)}}function bs(H,D){return H.x===D.x&&(H.x<0||H.x>vo)||H.y===D.y&&(H.y<0||H.y>vo)}function Hs(H){return H.every(D=>D.x<0)||H.every(D=>D.x>vo)||H.every(D=>D.y<0)||H.every(D=>D.y>vo)}let pu;_i(\"FillExtrusionBucket\",Fo,{omit:[\"layers\",\"features\"]});var Mp={get paint(){return pu=pu||new Ne({\"fill-extrusion-opacity\":new fo(re[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new zo(re[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new fo(re[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new fo(re[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Ic(re[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new zo(re[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new zo(re[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new fo(re[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Ep extends ae{constructor(D){super(D,Mp)}createBucket(D){return new Fo(D)}queryRadius(){return yn(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(D,K,pe,ke,je,We,ft,Mt){let Ut=Oi(D,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),We.angle,ft),nr=this.paint.get(\"fill-extrusion-height\").evaluate(K,pe),Mr=this.paint.get(\"fill-extrusion-base\").evaluate(K,pe),zr=function(oa,va,Ga,Qa){let Yi=[];for(let xi of oa){let Hi=[xi.x,xi.y,0,1];hn(Hi,Hi,va),Yi.push(new i(Hi[0]/Hi[3],Hi[1]/Hi[3]))}return Yi}(Ut,Mt),Hr=function(oa,va,Ga,Qa){let Yi=[],xi=[],Hi=Qa[8]*va,rn=Qa[9]*va,jn=Qa[10]*va,ko=Qa[11]*va,vs=Qa[8]*Ga,go=Qa[9]*Ga,Dn=Qa[10]*Ga,is=Qa[11]*Ga;for(let Vo of oa){let Bo=[],_n=[];for(let us of Vo){let No=us.x,Es=us.y,Ku=Qa[0]*No+Qa[4]*Es+Qa[12],Uu=Qa[1]*No+Qa[5]*Es+Qa[13],Qf=Qa[2]*No+Qa[6]*Es+Qa[14],Hp=Qa[3]*No+Qa[7]*Es+Qa[15],bh=Qf+jn,eh=Hp+ko,Jh=Ku+vs,$h=Uu+go,Qh=Qf+Dn,uf=Hp+is,th=new i((Ku+Hi)/eh,(Uu+rn)/eh);th.z=bh/eh,Bo.push(th);let Fh=new i(Jh/uf,$h/uf);Fh.z=Qh/uf,_n.push(Fh)}Yi.push(Bo),xi.push(_n)}return[Yi,xi]}(ke,Mr,nr,Mt);return function(oa,va,Ga){let Qa=1/0;Yt(Ga,va)&&(Qa=qp(Ga,va[0]));for(let Yi=0;Yi<va.length;Yi++){let xi=va[Yi],Hi=oa[Yi];for(let rn=0;rn<xi.length-1;rn++){let jn=xi[rn],ko=[jn,xi[rn+1],Hi[rn+1],Hi[rn],jn];yc(Ga,ko)&&(Qa=Math.min(Qa,qp(Ga,ko)))}}return Qa!==1/0&&Qa}(Hr[0],Hr[1],zr)}}function Ph(H,D){return H.x*D.x+H.y*D.y}function qp(H,D){if(H.length===1){let K=0,pe=D[K++],ke;for(;!ke||pe.equals(ke);)if(ke=D[K++],!ke)return 1/0;for(;K<D.length;K++){let je=D[K],We=H[0],ft=ke.sub(pe),Mt=je.sub(pe),Ut=We.sub(pe),nr=Ph(ft,ft),Mr=Ph(ft,Mt),zr=Ph(Mt,Mt),Hr=Ph(Ut,ft),oa=Ph(Ut,Mt),va=nr*zr-Mr*Mr,Ga=(zr*Hr-Mr*oa)/va,Qa=(nr*oa-Mr*Hr)/va,Yi=pe.z*(1-Ga-Qa)+ke.z*Ga+je.z*Qa;if(isFinite(Yi))return Yi}return 1/0}{let K=1/0;for(let pe of D)K=Math.min(K,pe.z);return K}}let qd=pt([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:td}=qd,Ih=pt([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:rd}=Ih,Kh=Jr.VectorTileFeature.types,Rh=Math.cos(Math.PI/180*37.5),Cp=Math.pow(2,14)/.5;class Vp{constructor(D){this.zoom=D.zoom,this.overscaling=D.overscaling,this.layers=D.layers,this.layerIds=this.layers.map(K=>K.id),this.index=D.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach(K=>{this.gradients[K.id]={}}),this.layoutVertexArray=new Ru,this.layoutVertexArray2=new hu,this.indexArray=new De,this.programConfigurations=new el(D.layers,D.zoom),this.segments=new St,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter(K=>K.isStateDependent()).map(K=>K.id)}populate(D,K,pe){this.hasPattern=Ft(\"line\",this.layers,K);let ke=this.layers[0].layout.get(\"line-sort-key\"),je=!ke.isConstant(),We=[];for(let{feature:ft,id:Mt,index:Ut,sourceLayerIndex:nr}of D){let Mr=this.layers[0]._featureFilter.needGeometry,zr=Gl(ft,Mr);if(!this.layers[0]._featureFilter.filter(new Ls(this.zoom),zr,pe))continue;let Hr=je?ke.evaluate(zr,{},pe):void 0,oa={id:Mt,properties:ft.properties,type:ft.type,sourceLayerIndex:nr,index:Ut,geometry:Mr?zr.geometry:Tl(ft),patterns:{},sortKey:Hr};We.push(oa)}je&&We.sort((ft,Mt)=>ft.sortKey-Mt.sortKey);for(let ft of We){let{geometry:Mt,index:Ut,sourceLayerIndex:nr}=ft;if(this.hasPattern){let Mr=ir(\"line\",this.layers,ft,this.zoom,K);this.patternFeatures.push(Mr)}else this.addFeature(ft,Mt,Ut,pe,{});K.featureIndex.insert(D[Ut].feature,Mt,Ut,nr,this.index)}}update(D,K,pe){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(D,K,this.stateDependentLayers,pe)}addFeatures(D,K,pe){for(let ke of this.patternFeatures)this.addFeature(ke,ke.geometry,ke.index,K,pe)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(D){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=D.createVertexBuffer(this.layoutVertexArray2,rd)),this.layoutVertexBuffer=D.createVertexBuffer(this.layoutVertexArray,td),this.indexBuffer=D.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(D),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(D){if(D.properties&&Object.prototype.hasOwnProperty.call(D.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(D.properties,\"mapbox_clip_end\"))return{start:+D.properties.mapbox_clip_start,end:+D.properties.mapbox_clip_end}}addFeature(D,K,pe,ke,je){let We=this.layers[0].layout,ft=We.get(\"line-join\").evaluate(D,{}),Mt=We.get(\"line-cap\"),Ut=We.get(\"line-miter-limit\"),nr=We.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(D);for(let Mr of K)this.addLine(Mr,D,ft,Mt,Ut,nr);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,D,pe,je,ke)}addLine(D,K,pe,ke,je,We){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let Qa=0;Qa<D.length-1;Qa++)this.totalDistance+=D[Qa].dist(D[Qa+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}let ft=Kh[K.type]===\"Polygon\",Mt=D.length;for(;Mt>=2&&D[Mt-1].equals(D[Mt-2]);)Mt--;let Ut=0;for(;Ut<Mt-1&&D[Ut].equals(D[Ut+1]);)Ut++;if(Mt<(ft?3:2))return;pe===\"bevel\"&&(je=1.05);let nr=this.overscaling<=16?15*vo/(512*this.overscaling):0,Mr=this.segments.prepareSegment(10*Mt,this.layoutVertexArray,this.indexArray),zr,Hr,oa,va,Ga;this.e1=this.e2=-1,ft&&(zr=D[Mt-2],Ga=D[Ut].sub(zr)._unit()._perp());for(let Qa=Ut;Qa<Mt;Qa++){if(oa=Qa===Mt-1?ft?D[Ut+1]:void 0:D[Qa+1],oa&&D[Qa].equals(oa))continue;Ga&&(va=Ga),zr&&(Hr=zr),zr=D[Qa],Ga=oa?oa.sub(zr)._unit()._perp():va,va=va||Ga;let Yi=va.add(Ga);Yi.x===0&&Yi.y===0||Yi._unit();let xi=va.x*Ga.x+va.y*Ga.y,Hi=Yi.x*Ga.x+Yi.y*Ga.y,rn=Hi!==0?1/Hi:1/0,jn=2*Math.sqrt(2-2*Hi),ko=Hi<Rh&&Hr&&oa,vs=va.x*Ga.y-va.y*Ga.x>0;if(ko&&Qa>Ut){let is=zr.dist(Hr);if(is>2*nr){let Vo=zr.sub(zr.sub(Hr)._mult(nr/is)._round());this.updateDistance(Hr,Vo),this.addCurrentVertex(Vo,va,0,0,Mr),Hr=Vo}}let go=Hr&&oa,Dn=go?pe:ft?\"butt\":ke;if(go&&Dn===\"round\"&&(rn<We?Dn=\"miter\":rn<=2&&(Dn=\"fakeround\")),Dn===\"miter\"&&rn>je&&(Dn=\"bevel\"),Dn===\"bevel\"&&(rn>2&&(Dn=\"flipbevel\"),rn<je&&(Dn=\"miter\")),Hr&&this.updateDistance(Hr,zr),Dn===\"miter\")Yi._mult(rn),this.addCurrentVertex(zr,Yi,0,0,Mr);else if(Dn===\"flipbevel\"){if(rn>100)Yi=Ga.mult(-1);else{let is=rn*va.add(Ga).mag()/va.sub(Ga).mag();Yi._perp()._mult(is*(vs?-1:1))}this.addCurrentVertex(zr,Yi,0,0,Mr),this.addCurrentVertex(zr,Yi.mult(-1),0,0,Mr)}else if(Dn===\"bevel\"||Dn===\"fakeround\"){let is=-Math.sqrt(rn*rn-1),Vo=vs?is:0,Bo=vs?0:is;if(Hr&&this.addCurrentVertex(zr,va,Vo,Bo,Mr),Dn===\"fakeround\"){let _n=Math.round(180*jn/Math.PI/20);for(let us=1;us<_n;us++){let No=us/_n;if(No!==.5){let Ku=No-.5;No+=No*Ku*(No-1)*((1.0904+xi*(xi*(3.55645-1.43519*xi)-3.2452))*Ku*Ku+(.848013+xi*(.215638*xi-1.06021)))}let Es=Ga.sub(va)._mult(No)._add(va)._unit()._mult(vs?-1:1);this.addHalfVertex(zr,Es.x,Es.y,!1,vs,0,Mr)}}oa&&this.addCurrentVertex(zr,Ga,-Vo,-Bo,Mr)}else if(Dn===\"butt\")this.addCurrentVertex(zr,Yi,0,0,Mr);else if(Dn===\"square\"){let is=Hr?1:-1;this.addCurrentVertex(zr,Yi,is,is,Mr)}else Dn===\"round\"&&(Hr&&(this.addCurrentVertex(zr,va,0,0,Mr),this.addCurrentVertex(zr,va,1,1,Mr,!0)),oa&&(this.addCurrentVertex(zr,Ga,-1,-1,Mr,!0),this.addCurrentVertex(zr,Ga,0,0,Mr)));if(ko&&Qa<Mt-1){let is=zr.dist(oa);if(is>2*nr){let Vo=zr.add(oa.sub(zr)._mult(nr/is)._round());this.updateDistance(zr,Vo),this.addCurrentVertex(Vo,Ga,0,0,Mr),zr=Vo}}}}addCurrentVertex(D,K,pe,ke,je,We=!1){let ft=K.y*ke-K.x,Mt=-K.y-K.x*ke;this.addHalfVertex(D,K.x+K.y*pe,K.y-K.x*pe,We,!1,pe,je),this.addHalfVertex(D,ft,Mt,We,!0,-ke,je),this.distance>Cp/2&&this.totalDistance===0&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(D,K,pe,ke,je,We))}addHalfVertex({x:D,y:K},pe,ke,je,We,ft,Mt){let Ut=.5*(this.lineClips?this.scaledDistance*(Cp-1):this.scaledDistance);this.layoutVertexArray.emplaceBack((D<<1)+(je?1:0),(K<<1)+(We?1:0),Math.round(63*pe)+128,Math.round(63*ke)+128,1+(ft===0?0:ft<0?-1:1)|(63&Ut)<<2,Ut>>6),this.lineClips&&this.layoutVertexArray2.emplaceBack((this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start),this.lineClipsArray.length);let nr=Mt.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,nr),Mt.primitiveLength++),We?this.e2=nr:this.e1=nr}updateScaledDistance(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance}updateDistance(D,K){this.distance+=D.dist(K),this.updateScaledDistance()}}let kp,kv;_i(\"LineBucket\",Vp,{omit:[\"layers\",\"patternFeatures\"]});var Vd={get paint(){return kv=kv||new Ne({\"line-opacity\":new zo(re.paint_line[\"line-opacity\"]),\"line-color\":new zo(re.paint_line[\"line-color\"]),\"line-translate\":new fo(re.paint_line[\"line-translate\"]),\"line-translate-anchor\":new fo(re.paint_line[\"line-translate-anchor\"]),\"line-width\":new zo(re.paint_line[\"line-width\"]),\"line-gap-width\":new zo(re.paint_line[\"line-gap-width\"]),\"line-offset\":new zo(re.paint_line[\"line-offset\"]),\"line-blur\":new zo(re.paint_line[\"line-blur\"]),\"line-dasharray\":new lc(re.paint_line[\"line-dasharray\"]),\"line-pattern\":new Ic(re.paint_line[\"line-pattern\"]),\"line-gradient\":new Yu(re.paint_line[\"line-gradient\"])})},get layout(){return kp=kp||new Ne({\"line-cap\":new fo(re.layout_line[\"line-cap\"]),\"line-join\":new zo(re.layout_line[\"line-join\"]),\"line-miter-limit\":new fo(re.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new fo(re.layout_line[\"line-round-limit\"]),\"line-sort-key\":new zo(re.layout_line[\"line-sort-key\"])})}};class qf extends zo{possiblyEvaluate(D,K){return K=new 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Pv=pt([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4),nv=pt([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);function ov(H,D,K){return H.sections.forEach(pe=>{pe.text=function(ke,je,We){let ft=je.layout.get(\"text-transform\").evaluate(We,{});return 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We,ft,Mt=0;Mt<ke.length;Mt++){if((We=ke.charCodeAt(Mt))>55295&&We<57344){if(!ft){We>56319||Mt+1===ke.length?(pe[je++]=239,pe[je++]=191,pe[je++]=189):ft=We;continue}if(We<56320){pe[je++]=239,pe[je++]=191,pe[je++]=189,ft=We;continue}We=ft-55296<<10|We-56320|65536,ft=null}else ft&&(pe[je++]=239,pe[je++]=191,pe[je++]=189,ft=null);We<128?pe[je++]=We:(We<2048?pe[je++]=We>>6|192:(We<65536?pe[je++]=We>>12|224:(pe[je++]=We>>18|240,pe[je++]=We>>12&63|128),pe[je++]=We>>6&63|128),pe[je++]=63&We|128)}return je}(this.buf,H,this.pos);var K=this.pos-D;K>=128&&xg(D,K,this),this.pos=D-1,this.writeVarint(K),this.pos+=K},writeFloat:function(H){this.realloc(4),om(this.buf,H,this.pos,!0,23,4),this.pos+=4},writeDouble:function(H){this.realloc(8),om(this.buf,H,this.pos,!0,52,8),this.pos+=8},writeBytes:function(H){var D=H.length;this.writeVarint(D),this.realloc(D);for(var K=0;K<D;K++)this.buf[this.pos++]=H[K]},writeRawMessage:function(H,D){this.pos++;var K=this.pos;H(D,this);var pe=this.pos-K;pe>=128&&xg(K,pe,this),this.pos=K-1,this.writeVarint(pe),this.pos+=pe},writeMessage:function(H,D,K){this.writeTag(H,Au.Bytes),this.writeRawMessage(D,K)},writePackedVarint:function(H,D){D.length&&this.writeMessage(H,b0,D)},writePackedSVarint:function(H,D){D.length&&this.writeMessage(H,UT,D)},writePackedBoolean:function(H,D){D.length&&this.writeMessage(H,VT,D)},writePackedFloat:function(H,D){D.length&&this.writeMessage(H,jT,D)},writePackedDouble:function(H,D){D.length&&this.writeMessage(H,qT,D)},writePackedFixed32:function(H,D){D.length&&this.writeMessage(H,dC,D)},writePackedSFixed32:function(H,D){D.length&&this.writeMessage(H,GT,D)},writePackedFixed64:function(H,D){D.length&&this.writeMessage(H,HT,D)},writePackedSFixed64:function(H,D){D.length&&this.writeMessage(H,WT,D)},writeBytesField:function(H,D){this.writeTag(H,Au.Bytes),this.writeBytes(D)},writeFixed32Field:function(H,D){this.writeTag(H,Au.Fixed32),this.writeFixed32(D)},writeSFixed32Field:function(H,D){this.writeTag(H,Au.Fixed32),this.writeSFixed32(D)},writeFixed64Field:function(H,D){this.writeTag(H,Au.Fixed64),this.writeFixed64(D)},writeSFixed64Field:function(H,D){this.writeTag(H,Au.Fixed64),this.writeSFixed64(D)},writeVarintField:function(H,D){this.writeTag(H,Au.Varint),this.writeVarint(D)},writeSVarintField:function(H,D){this.writeTag(H,Au.Varint),this.writeSVarint(D)},writeStringField:function(H,D){this.writeTag(H,Au.Bytes),this.writeString(D)},writeFloatField:function(H,D){this.writeTag(H,Au.Fixed32),this.writeFloat(D)},writeDoubleField:function(H,D){this.writeTag(H,Au.Fixed64),this.writeDouble(D)},writeBooleanField:function(H,D){this.writeVarintField(H,!!D)}};var P1=r(Dh);let I1=3;function vC(H,D,K){H===1&&K.readMessage(XT,D)}function XT(H,D,K){if(H===3){let{id:pe,bitmap:ke,width:je,height:We,left:ft,top:Mt,advance:Ut}=K.readMessage(Lx,{});D.push({id:pe,bitmap:new In({width:je+2*I1,height:We+2*I1},ke),metrics:{width:je,height:We,left:ft,top:Mt,advance:Ut}})}}function Lx(H,D,K){H===1?D.id=K.readVarint():H===2?D.bitmap=K.readBytes():H===3?D.width=K.readVarint():H===4?D.height=K.readVarint():H===5?D.left=K.readSVarint():H===6?D.top=K.readSVarint():H===7&&(D.advance=K.readVarint())}let Px=I1;function R1(H){let D=0,K=0;for(let We of H)D+=We.w*We.h,K=Math.max(K,We.w);H.sort((We,ft)=>ft.h-We.h);let pe=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(D/.95)),K),h:1/0}],ke=0,je=0;for(let We of H)for(let ft=pe.length-1;ft>=0;ft--){let Mt=pe[ft];if(!(We.w>Mt.w||We.h>Mt.h)){if(We.x=Mt.x,We.y=Mt.y,je=Math.max(je,We.y+We.h),ke=Math.max(ke,We.x+We.w),We.w===Mt.w&&We.h===Mt.h){let Ut=pe.pop();ft<pe.length&&(pe[ft]=Ut)}else We.h===Mt.h?(Mt.x+=We.w,Mt.w-=We.w):We.w===Mt.w?(Mt.y+=We.h,Mt.h-=We.h):(pe.push({x:Mt.x+We.w,y:Mt.y,w:Mt.w-We.w,h:We.h}),Mt.y+=We.h,Mt.h-=We.h);break}}return{w:ke,h:je,fill:D/(ke*je)||0}}let zh=1;class bg{constructor(D,{pixelRatio:K,version:pe,stretchX:ke,stretchY:je,content:We,textFitWidth:ft,textFitHeight:Mt}){this.paddedRect=D,this.pixelRatio=K,this.stretchX=ke,this.stretchY=je,this.content=We,this.version=pe,this.textFitWidth=ft,this.textFitHeight=Mt}get tl(){return[this.paddedRect.x+zh,this.paddedRect.y+zh]}get br(){return[this.paddedRect.x+this.paddedRect.w-zh,this.paddedRect.y+this.paddedRect.h-zh]}get tlbr(){return this.tl.concat(this.br)}get displaySize(){return[(this.paddedRect.w-2*zh)/this.pixelRatio,(this.paddedRect.h-2*zh)/this.pixelRatio]}}class wg{constructor(D,K){let pe={},ke={};this.haveRenderCallbacks=[];let je=[];this.addImages(D,pe,je),this.addImages(K,ke,je);let{w:We,h:ft}=R1(je),Mt=new Di({width:We||1,height:ft||1});for(let Ut in D){let nr=D[Ut],Mr=pe[Ut].paddedRect;Di.copy(nr.data,Mt,{x:0,y:0},{x:Mr.x+zh,y:Mr.y+zh},nr.data)}for(let Ut in K){let nr=K[Ut],Mr=ke[Ut].paddedRect,zr=Mr.x+zh,Hr=Mr.y+zh,oa=nr.data.width,va=nr.data.height;Di.copy(nr.data,Mt,{x:0,y:0},{x:zr,y:Hr},nr.data),Di.copy(nr.data,Mt,{x:0,y:va-1},{x:zr,y:Hr-1},{width:oa,height:1}),Di.copy(nr.data,Mt,{x:0,y:0},{x:zr,y:Hr+va},{width:oa,height:1}),Di.copy(nr.data,Mt,{x:oa-1,y:0},{x:zr-1,y:Hr},{width:1,height:va}),Di.copy(nr.data,Mt,{x:0,y:0},{x:zr+oa,y:Hr},{width:1,height:va})}this.image=Mt,this.iconPositions=pe,this.patternPositions=ke}addImages(D,K,pe){for(let ke in D){let je=D[ke],We={x:0,y:0,w:je.data.width+2*zh,h:je.data.height+2*zh};pe.push(We),K[ke]=new bg(We,je),je.hasRenderCallback&&this.haveRenderCallbacks.push(ke)}}patchUpdatedImages(D,K){D.dispatchRenderCallbacks(this.haveRenderCallbacks);for(let pe in D.updatedImages)this.patchUpdatedImage(this.iconPositions[pe],D.getImage(pe),K),this.patchUpdatedImage(this.patternPositions[pe],D.getImage(pe),K)}patchUpdatedImage(D,K,pe){if(!D||!K||D.version===K.version)return;D.version=K.version;let[ke,je]=D.tl;pe.update(K.data,void 0,{x:ke,y:je})}}var Pp;_i(\"ImagePosition\",bg),_i(\"ImageAtlas\",wg),e.ah=void 0,(Pp=e.ah||(e.ah={}))[Pp.none=0]=\"none\",Pp[Pp.horizontal=1]=\"horizontal\",Pp[Pp.vertical=2]=\"vertical\",Pp[Pp.horizontalOnly=3]=\"horizontalOnly\";let $f=-17;class T0{constructor(){this.scale=1,this.fontStack=\"\",this.imageName=null}static forText(D,K){let pe=new T0;return pe.scale=D||1,pe.fontStack=K,pe}static forImage(D){let K=new T0;return K.imageName=D,K}}class sm{constructor(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null}static fromFeature(D,K){let pe=new sm;for(let ke=0;ke<D.sections.length;ke++){let je=D.sections[ke];je.image?pe.addImageSection(je):pe.addTextSection(je,K)}return 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va=sm.fromFeature(H,ke),Ga;Mr===e.ah.vertical&&va.verticalizePunctuation();let{processBidirectionalText:Qa,processStyledBidirectionalText:Yi}=Xs;if(Qa&&va.sections.length===1){Ga=[];let rn=Qa(va.toString(),lm(va,Ut,je,D,pe,Hr));for(let jn of rn){let ko=new sm;ko.text=jn,ko.sections=va.sections;for(let vs=0;vs<jn.length;vs++)ko.sectionIndex.push(0);Ga.push(ko)}}else if(Yi){Ga=[];let rn=Yi(va.text,va.sectionIndex,lm(va,Ut,je,D,pe,Hr));for(let jn of rn){let ko=new sm;ko.text=jn[0],ko.sectionIndex=jn[1],ko.sections=va.sections,Ga.push(ko)}}else Ga=function(rn,jn){let ko=[],vs=rn.text,go=0;for(let Dn of jn)ko.push(rn.substring(go,Dn)),go=Dn;return go<vs.length&&ko.push(rn.substring(go,vs.length)),ko}(va,lm(va,Ut,je,D,pe,Hr));let xi=[],Hi={positionedLines:xi,text:va.toString(),top:nr[1],bottom:nr[1],left:nr[0],right:nr[0],writingMode:Mr,iconsInText:!1,verticalizable:!1};return function(rn,jn,ko,vs,go,Dn,is,Vo,Bo,_n,us,No){let Es=0,Ku=$f,Uu=0,Qf=0,Hp=Vo===\"right\"?1:Vo===\"left\"?0:.5,bh=0;for(let uf of go){uf.trim();let th=uf.getMaxScale(),Fh=(th-1)*lu,wh={positionedGlyphs:[],lineOffset:0};rn.positionedLines[bh]=wh;let fh=wh.positionedGlyphs,gf=0;if(!uf.length()){Ku+=Dn,++bh;continue}for(let pp=0;pp<uf.length();pp++){let uu=uf.getSection(pp),fc=uf.getSectionIndex(pp),Ju=uf.getCharCode(pp),Rp=0,Kc=null,dm=null,_d=null,hd=lu,Wp=!(Bo===e.ah.horizontal||!us&&!ys(Ju)||us&&(Tg[Ju]||(eh=Ju,new RegExp(\"\\\\p{sc=Arab}\",\"u\").test(String.fromCodePoint(eh)))));if(uu.imageName){let Rc=vs[uu.imageName];if(!Rc)continue;_d=uu.imageName,rn.iconsInText=rn.iconsInText||!0,dm=Rc.paddedRect;let Pf=Rc.displaySize;uu.scale=uu.scale*lu/No,Kc={width:Pf[0],height:Pf[1],left:zh,top:-Px,advance:Wp?Pf[1]:Pf[0]},Rp=Fh+(lu-Pf[1]*uu.scale),hd=Kc.advance;let Xp=Wp?Pf[0]*uu.scale-lu*th:Pf[1]*uu.scale-lu*th;Xp>0&&Xp>gf&&(gf=Xp)}else{let Rc=ko[uu.fontStack],Pf=Rc&&Rc[Ju];if(Pf&&Pf.rect)dm=Pf.rect,Kc=Pf.metrics;else{let 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rn)if(jn.positionedGlyphs.length!==0)return!1;return!0}(xi)&&Hi}let Tg={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},ZT={10:!0,32:!0,38:!0,41:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0,8231:!0},YT={40:!0};function Ix(H,D,K,pe,ke,je){if(D.imageName){let We=pe[D.imageName];return We?We.displaySize[0]*D.scale*lu/je+ke:0}{let We=K[D.fontStack],ft=We&&We[H];return ft?ft.metrics.advance*D.scale+ke:0}}function Rx(H,D,K,pe){let ke=Math.pow(H-D,2);return pe?H<D?ke/2:2*ke:ke+Math.abs(K)*K}function KT(H,D,K){let pe=0;return H===10&&(pe-=1e4),K&&(pe+=150),H!==40&&H!==65288||(pe+=50),D!==41&&D!==65289||(pe+=50),pe}function Ag(H,D,K,pe,ke,je){let We=null,ft=Rx(D,K,ke,je);for(let Mt of pe){let Ut=Rx(D-Mt.x,K,ke,je)+Mt.badness;Ut<=ft&&(We=Mt,ft=Ut)}return{index:H,x:D,priorBreak:We,badness:ft}}function Dx(H){return H?Dx(H.priorBreak).concat(H.index):[]}function lm(H,D,K,pe,ke,je){if(!H)return[];let We=[],ft=function(Mr,zr,Hr,oa,va,Ga){let Qa=0;for(let Yi=0;Yi<Mr.length();Yi++){let xi=Mr.getSection(Yi);Qa+=Ix(Mr.getCharCode(Yi),xi,oa,va,zr,Ga)}return Qa/Math.max(1,Math.ceil(Qa/Hr))}(H,D,K,pe,ke,je),Mt=H.text.indexOf(\"\\u200B\")>=0,Ut=0;for(let Mr=0;Mr<H.length();Mr++){let zr=H.getSection(Mr),Hr=H.getCharCode(Mr);if(Tg[Hr]||(Ut+=Ix(Hr,zr,pe,ke,D,je)),Mr<H.length()-1){let oa=!((nr=Hr)<11904)&&(!!un[\"CJK Compatibility Forms\"](nr)||!!un[\"CJK Compatibility\"](nr)||!!un[\"CJK Strokes\"](nr)||!!un[\"CJK Symbols and Punctuation\"](nr)||!!un[\"Enclosed CJK Letters and Months\"](nr)||!!un[\"Halfwidth and Fullwidth Forms\"](nr)||!!un[\"Ideographic Description Characters\"](nr)||!!un[\"Vertical Forms\"](nr)||Ks.test(String.fromCodePoint(nr)));(ZT[Hr]||oa||zr.imageName||Mr!==H.length()-2&&YT[H.getCharCode(Mr+1)])&&We.push(Ag(Mr+1,Ut,ft,We,KT(Hr,H.getCharCode(Mr+1),oa&&Mt),!1))}}var nr;return Dx(Ag(H.length(),Ut,ft,We,0,!0))}function Sg(H){let D=.5,K=.5;switch(H){case\"right\":case\"top-right\":case\"bottom-right\":D=1;break;case\"left\":case\"top-left\":case\"bottom-left\":D=0}switch(H){case\"bottom\":case\"bottom-right\":case\"bottom-left\":K=1;break;case\"top\":case\"top-right\":case\"top-left\":K=0}return{horizontalAlign:D,verticalAlign:K}}function uv(H,D,K,pe,ke){if(!pe&&!ke)return;let je=H[K],We=(H[K].x+je.metrics.advance*je.scale)*pe;for(let ft=D;ft<=K;ft++)H[ft].x-=We,H[ft].y+=ke}function S0(H,D,K){let{horizontalAlign:pe,verticalAlign:ke}=Sg(K),je=D[0]-H.displaySize[0]*pe,We=D[1]-H.displaySize[1]*ke;return{image:H,top:We,bottom:We+H.displaySize[1],left:je,right:je+H.displaySize[0]}}function zx(H){var D,K;let pe=H.left,ke=H.top,je=H.right-pe,We=H.bottom-ke,ft=(D=H.image.textFitWidth)!==null&&D!==void 0?D:\"stretchOrShrink\",Mt=(K=H.image.textFitHeight)!==null&&K!==void 0?K:\"stretchOrShrink\",Ut=(H.image.content[2]-H.image.content[0])/(H.image.content[3]-H.image.content[1]);if(Mt===\"proportional\"){if(ft===\"stretchOnly\"&&je/We<Ut||ft===\"proportional\"){let nr=Math.ceil(We*Ut);pe*=nr/je,je=nr}}else if(ft===\"proportional\"&&Mt===\"stretchOnly\"&&Ut!==0&&je/We>Ut){let nr=Math.ceil(je/Ut);ke*=nr/We,We=nr}return{x1:pe,y1:ke,x2:pe+je,y2:ke+We}}function Fx(H,D,K,pe,ke,je){let We=H.image,ft;if(We.content){let Ga=We.content,Qa=We.pixelRatio||1;ft=[Ga[0]/Qa,Ga[1]/Qa,We.displaySize[0]-Ga[2]/Qa,We.displaySize[1]-Ga[3]/Qa]}let Mt=D.left*je,Ut=D.right*je,nr,Mr,zr,Hr;K===\"width\"||K===\"both\"?(Hr=ke[0]+Mt-pe[3],Mr=ke[0]+Ut+pe[1]):(Hr=ke[0]+(Mt+Ut-We.displaySize[0])/2,Mr=Hr+We.displaySize[0]);let oa=D.top*je,va=D.bottom*je;return K===\"height\"||K===\"both\"?(nr=ke[1]+oa-pe[0],zr=ke[1]+va+pe[2]):(nr=ke[1]+(oa+va-We.displaySize[1])/2,zr=nr+We.displaySize[1]),{image:We,top:nr,right:Mr,bottom:zr,left:Hr,collisionPadding:ft}}let M0=255,yd=128,cv=M0*yd;function Ox(H,D){let{expression:K}=D;if(K.kind===\"constant\")return{kind:\"constant\",layoutSize:K.evaluate(new Ls(H+1))};if(K.kind===\"source\")return{kind:\"source\"};{let{zoomStops:pe,interpolationType:ke}=K,je=0;for(;je<pe.length&&pe[je]<=H;)je++;je=Math.max(0,je-1);let We=je;for(;We<pe.length&&pe[We]<H+1;)We++;We=Math.min(pe.length-1,We);let ft=pe[je],Mt=pe[We];return K.kind===\"composite\"?{kind:\"composite\",minZoom:ft,maxZoom:Mt,interpolationType:ke}:{kind:\"camera\",minZoom:ft,maxZoom:Mt,minSize:K.evaluate(new Ls(ft)),maxSize:K.evaluate(new Ls(Mt)),interpolationType:ke}}}function D1(H,D,K){let pe=\"never\",ke=H.get(D);return ke?pe=ke:H.get(K)&&(pe=\"always\"),pe}let JT=Jr.VectorTileFeature.types,$T=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Mg(H,D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr,zr){let Hr=ft?Math.min(cv,Math.round(ft[0])):0,oa=ft?Math.min(cv,Math.round(ft[1])):0;H.emplaceBack(D,K,Math.round(32*pe),Math.round(32*ke),je,We,(Hr<<1)+(Mt?1:0),oa,16*Ut,16*nr,256*Mr,256*zr)}function z1(H,D,K){H.emplaceBack(D.x,D.y,K),H.emplaceBack(D.x,D.y,K),H.emplaceBack(D.x,D.y,K),H.emplaceBack(D.x,D.y,K)}function F1(H){for(let D of H.sections)if(Io(D.text))return!0;return!1}class O1{constructor(D){this.layoutVertexArray=new su,this.indexArray=new De,this.programConfigurations=D,this.segments=new St,this.dynamicLayoutVertexArray=new uc,this.opacityVertexArray=new ql,this.hasVisibleVertices=!1,this.placedSymbolArray=new Wn}isEmpty(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0}upload(D,K,pe,ke){this.isEmpty()||(pe&&(this.layoutVertexBuffer=D.createVertexBuffer(this.layoutVertexArray,iv.members),this.indexBuffer=D.createIndexBuffer(this.indexArray,K),this.dynamicLayoutVertexBuffer=D.createVertexBuffer(this.dynamicLayoutVertexArray,im.members,!0),this.opacityVertexBuffer=D.createVertexBuffer(this.opacityVertexArray,$T,!0),this.opacityVertexBuffer.itemSize=1),(pe||ke)&&this.programConfigurations.upload(D))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}_i(\"SymbolBuffers\",O1);class fv{constructor(D,K,pe){this.layoutVertexArray=new D,this.layoutAttributes=K,this.indexArray=new pe,this.segments=new St,this.collisionVertexArray=new de}upload(D){this.layoutVertexBuffer=D.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=D.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=D.createVertexBuffer(this.collisionVertexArray,nm.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}_i(\"CollisionBuffers\",fv);class um{constructor(D){this.collisionBoxArray=D.collisionBoxArray,this.zoom=D.zoom,this.overscaling=D.overscaling,this.layers=D.layers,this.layerIds=this.layers.map(We=>We.id),this.index=D.index,this.pixelRatio=D.pixelRatio,this.sourceLayerIndex=D.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=gi([]),this.placementViewportMatrix=gi([]);let K=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ox(this.zoom,K[\"text-size\"]),this.iconSizeData=Ox(this.zoom,K[\"icon-size\"]);let pe=this.layers[0].layout,ke=pe.get(\"symbol-sort-key\"),je=pe.get(\"symbol-z-order\");this.canOverlap=D1(pe,\"text-overlap\",\"text-allow-overlap\")!==\"never\"||D1(pe,\"icon-overlap\",\"icon-allow-overlap\")!==\"never\"||pe.get(\"text-ignore-placement\")||pe.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=je!==\"viewport-y\"&&!ke.isConstant(),this.sortFeaturesByY=(je===\"viewport-y\"||je===\"auto\"&&!this.sortFeaturesByKey)&&this.canOverlap,pe.get(\"symbol-placement\")===\"point\"&&(this.writingModes=pe.get(\"text-writing-mode\").map(We=>e.ah[We])),this.stateDependentLayerIds=this.layers.filter(We=>We.isStateDependent()).map(We=>We.id),this.sourceID=D.sourceID}createArrays(){this.text=new O1(new el(this.layers,this.zoom,D=>/^text/.test(D))),this.icon=new O1(new el(this.layers,this.zoom,D=>/^icon/.test(D))),this.glyphOffsetArray=new ss,this.lineVertexArray=new So,this.symbolInstances=new Ao,this.textAnchorOffsets=new hs}calculateGlyphDependencies(D,K,pe,ke,je){for(let We=0;We<D.length;We++)if(K[D.charCodeAt(We)]=!0,(pe||ke)&&je){let ft=cc[D.charAt(We)];ft&&(K[ft.charCodeAt(0)]=!0)}}populate(D,K,pe){let ke=this.layers[0],je=ke.layout,We=je.get(\"text-font\"),ft=je.get(\"text-field\"),Mt=je.get(\"icon-image\"),Ut=(ft.value.kind!==\"constant\"||ft.value.value instanceof ma&&!ft.value.value.isEmpty()||ft.value.value.toString().length>0)&&(We.value.kind!==\"constant\"||We.value.value.length>0),nr=Mt.value.kind!==\"constant\"||!!Mt.value.value||Object.keys(Mt.parameters).length>0,Mr=je.get(\"symbol-sort-key\");if(this.features=[],!Ut&&!nr)return;let zr=K.iconDependencies,Hr=K.glyphDependencies,oa=K.availableImages,va=new Ls(this.zoom);for(let{feature:Ga,id:Qa,index:Yi,sourceLayerIndex:xi}of D){let Hi=ke._featureFilter.needGeometry,rn=Gl(Ga,Hi);if(!ke._featureFilter.filter(va,rn,pe))continue;let jn,ko;if(Hi||(rn.geometry=Tl(Ga)),Ut){let go=ke.getValueAndResolveTokens(\"text-field\",rn,pe,oa),Dn=ma.factory(go),is=this.hasRTLText=this.hasRTLText||F1(Dn);(!is||Xs.getRTLTextPluginStatus()===\"unavailable\"||is&&Xs.isParsed())&&(jn=ov(Dn,ke,rn))}if(nr){let go=ke.getValueAndResolveTokens(\"icon-image\",rn,pe,oa);ko=go instanceof $a?go:$a.fromString(go)}if(!jn&&!ko)continue;let vs=this.sortFeaturesByKey?Mr.evaluate(rn,{},pe):void 0;if(this.features.push({id:Qa,text:jn,icon:ko,index:Yi,sourceLayerIndex:xi,geometry:rn.geometry,properties:Ga.properties,type:JT[Ga.type],sortKey:vs}),ko&&(zr[ko.name]=!0),jn){let go=We.evaluate(rn,{},pe).join(\",\"),Dn=je.get(\"text-rotation-alignment\")!==\"viewport\"&&je.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(e.ah.vertical)>=0;for(let is of jn.sections)if(is.image)zr[is.image.name]=!0;else{let Vo=_o(jn.toString()),Bo=is.fontStack||go,_n=Hr[Bo]=Hr[Bo]||{};this.calculateGlyphDependencies(is.text,_n,Dn,this.allowVerticalPlacement,Vo)}}}je.get(\"symbol-placement\")===\"line\"&&(this.features=function(Ga){let Qa={},Yi={},xi=[],Hi=0;function rn(go){xi.push(Ga[go]),Hi++}function jn(go,Dn,is){let Vo=Yi[go];return delete Yi[go],Yi[Dn]=Vo,xi[Vo].geometry[0].pop(),xi[Vo].geometry[0]=xi[Vo].geometry[0].concat(is[0]),Vo}function ko(go,Dn,is){let Vo=Qa[Dn];return delete Qa[Dn],Qa[go]=Vo,xi[Vo].geometry[0].shift(),xi[Vo].geometry[0]=is[0].concat(xi[Vo].geometry[0]),Vo}function vs(go,Dn,is){let Vo=is?Dn[0][Dn[0].length-1]:Dn[0][0];return`${go}:${Vo.x}:${Vo.y}`}for(let go=0;go<Ga.length;go++){let Dn=Ga[go],is=Dn.geometry,Vo=Dn.text?Dn.text.toString():null;if(!Vo){rn(go);continue}let Bo=vs(Vo,is),_n=vs(Vo,is,!0);if(Bo in Yi&&_n in Qa&&Yi[Bo]!==Qa[_n]){let us=ko(Bo,_n,is),No=jn(Bo,_n,xi[us].geometry);delete Qa[Bo],delete Yi[_n],Yi[vs(Vo,xi[No].geometry,!0)]=No,xi[us].geometry=null}else Bo in Yi?jn(Bo,_n,is):_n in Qa?ko(Bo,_n,is):(rn(go),Qa[Bo]=Hi-1,Yi[_n]=Hi-1)}return xi.filter(go=>go.geometry)}(this.features)),this.sortFeaturesByKey&&this.features.sort((Ga,Qa)=>Ga.sortKey-Qa.sortKey)}update(D,K,pe){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(D,K,this.layers,pe),this.icon.programConfigurations.updatePaintArrays(D,K,this.layers,pe))}isEmpty(){return this.symbolInstances.length===0&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(D){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(D),this.iconCollisionBox.upload(D)),this.text.upload(D,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(D,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(D,K){let pe=this.lineVertexArray.length;if(D.segment!==void 0){let ke=D.dist(K[D.segment+1]),je=D.dist(K[D.segment]),We={};for(let ft=D.segment+1;ft<K.length;ft++)We[ft]={x:K[ft].x,y:K[ft].y,tileUnitDistanceFromAnchor:ke},ft<K.length-1&&(ke+=K[ft+1].dist(K[ft]));for(let ft=D.segment||0;ft>=0;ft--)We[ft]={x:K[ft].x,y:K[ft].y,tileUnitDistanceFromAnchor:je},ft>0&&(je+=K[ft-1].dist(K[ft]));for(let ft=0;ft<K.length;ft++){let Mt=We[ft];this.lineVertexArray.emplaceBack(Mt.x,Mt.y,Mt.tileUnitDistanceFromAnchor)}}return{lineStartIndex:pe,lineLength:this.lineVertexArray.length-pe}}addSymbols(D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr,zr){let Hr=D.indexArray,oa=D.layoutVertexArray,va=D.segments.prepareSegment(4*K.length,oa,Hr,this.canOverlap?We.sortKey:void 0),Ga=this.glyphOffsetArray.length,Qa=va.vertexLength,Yi=this.allowVerticalPlacement&&ft===e.ah.vertical?Math.PI/2:0,xi=We.text&&We.text.sections;for(let Hi=0;Hi<K.length;Hi++){let{tl:rn,tr:jn,bl:ko,br:vs,tex:go,pixelOffsetTL:Dn,pixelOffsetBR:is,minFontScaleX:Vo,minFontScaleY:Bo,glyphOffset:_n,isSDF:us,sectionIndex:No}=K[Hi],Es=va.vertexLength,Ku=_n[1];Mg(oa,Mt.x,Mt.y,rn.x,Ku+rn.y,go.x,go.y,pe,us,Dn.x,Dn.y,Vo,Bo),Mg(oa,Mt.x,Mt.y,jn.x,Ku+jn.y,go.x+go.w,go.y,pe,us,is.x,Dn.y,Vo,Bo),Mg(oa,Mt.x,Mt.y,ko.x,Ku+ko.y,go.x,go.y+go.h,pe,us,Dn.x,is.y,Vo,Bo),Mg(oa,Mt.x,Mt.y,vs.x,Ku+vs.y,go.x+go.w,go.y+go.h,pe,us,is.x,is.y,Vo,Bo),z1(D.dynamicLayoutVertexArray,Mt,Yi),Hr.emplaceBack(Es,Es+1,Es+2),Hr.emplaceBack(Es+1,Es+2,Es+3),va.vertexLength+=4,va.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(_n[0]),Hi!==K.length-1&&No===K[Hi+1].sectionIndex||D.programConfigurations.populatePaintArrays(oa.length,We,We.index,{},zr,xi&&xi[No])}D.placedSymbolArray.emplaceBack(Mt.x,Mt.y,Ga,this.glyphOffsetArray.length-Ga,Qa,Ut,nr,Mt.segment,pe?pe[0]:0,pe?pe[1]:0,ke[0],ke[1],ft,0,!1,0,Mr)}_addCollisionDebugVertex(D,K,pe,ke,je,We){return K.emplaceBack(0,0),D.emplaceBack(pe.x,pe.y,ke,je,Math.round(We.x),Math.round(We.y))}addCollisionDebugVertices(D,K,pe,ke,je,We,ft){let Mt=je.segments.prepareSegment(4,je.layoutVertexArray,je.indexArray),Ut=Mt.vertexLength,nr=je.layoutVertexArray,Mr=je.collisionVertexArray,zr=ft.anchorX,Hr=ft.anchorY;this._addCollisionDebugVertex(nr,Mr,We,zr,Hr,new i(D,K)),this._addCollisionDebugVertex(nr,Mr,We,zr,Hr,new i(pe,K)),this._addCollisionDebugVertex(nr,Mr,We,zr,Hr,new i(pe,ke)),this._addCollisionDebugVertex(nr,Mr,We,zr,Hr,new i(D,ke)),Mt.vertexLength+=4;let oa=je.indexArray;oa.emplaceBack(Ut,Ut+1),oa.emplaceBack(Ut+1,Ut+2),oa.emplaceBack(Ut+2,Ut+3),oa.emplaceBack(Ut+3,Ut),Mt.primitiveLength+=4}addDebugCollisionBoxes(D,K,pe,ke){for(let je=D;je<K;je++){let We=this.collisionBoxArray.get(je);this.addCollisionDebugVertices(We.x1,We.y1,We.x2,We.y2,ke?this.textCollisionBox:this.iconCollisionBox,We.anchorPoint,pe)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fv(Vl,Pv.members,et),this.iconCollisionBox=new fv(Vl,Pv.members,et);for(let D=0;D<this.symbolInstances.length;D++){let K=this.symbolInstances.get(D);this.addDebugCollisionBoxes(K.textBoxStartIndex,K.textBoxEndIndex,K,!0),this.addDebugCollisionBoxes(K.verticalTextBoxStartIndex,K.verticalTextBoxEndIndex,K,!0),this.addDebugCollisionBoxes(K.iconBoxStartIndex,K.iconBoxEndIndex,K,!1),this.addDebugCollisionBoxes(K.verticalIconBoxStartIndex,K.verticalIconBoxEndIndex,K,!1)}}_deserializeCollisionBoxesForSymbol(D,K,pe,ke,je,We,ft,Mt,Ut){let nr={};for(let Mr=K;Mr<pe;Mr++){let zr=D.get(Mr);nr.textBox={x1:zr.x1,y1:zr.y1,x2:zr.x2,y2:zr.y2,anchorPointX:zr.anchorPointX,anchorPointY:zr.anchorPointY},nr.textFeatureIndex=zr.featureIndex;break}for(let Mr=ke;Mr<je;Mr++){let zr=D.get(Mr);nr.verticalTextBox={x1:zr.x1,y1:zr.y1,x2:zr.x2,y2:zr.y2,anchorPointX:zr.anchorPointX,anchorPointY:zr.anchorPointY},nr.verticalTextFeatureIndex=zr.featureIndex;break}for(let Mr=We;Mr<ft;Mr++){let zr=D.get(Mr);nr.iconBox={x1:zr.x1,y1:zr.y1,x2:zr.x2,y2:zr.y2,anchorPointX:zr.anchorPointX,anchorPointY:zr.anchorPointY},nr.iconFeatureIndex=zr.featureIndex;break}for(let Mr=Mt;Mr<Ut;Mr++){let zr=D.get(Mr);nr.verticalIconBox={x1:zr.x1,y1:zr.y1,x2:zr.x2,y2:zr.y2,anchorPointX:zr.anchorPointX,anchorPointY:zr.anchorPointY},nr.verticalIconFeatureIndex=zr.featureIndex;break}return nr}deserializeCollisionBoxes(D){this.collisionArrays=[];for(let K=0;K<this.symbolInstances.length;K++){let pe=this.symbolInstances.get(K);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(D,pe.textBoxStartIndex,pe.textBoxEndIndex,pe.verticalTextBoxStartIndex,pe.verticalTextBoxEndIndex,pe.iconBoxStartIndex,pe.iconBoxEndIndex,pe.verticalIconBoxStartIndex,pe.verticalIconBoxEndIndex))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(D,K){let pe=D.placedSymbolArray.get(K),ke=pe.vertexStartIndex+4*pe.numGlyphs;for(let je=pe.vertexStartIndex;je<ke;je+=4)D.indexArray.emplaceBack(je,je+1,je+2),D.indexArray.emplaceBack(je+1,je+2,je+3)}getSortedSymbolIndexes(D){if(this.sortedAngle===D&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;let K=Math.sin(D),pe=Math.cos(D),ke=[],je=[],We=[];for(let ft=0;ft<this.symbolInstances.length;++ft){We.push(ft);let Mt=this.symbolInstances.get(ft);ke.push(0|Math.round(K*Mt.anchorX+pe*Mt.anchorY)),je.push(Mt.featureIndex)}return We.sort((ft,Mt)=>ke[ft]-ke[Mt]||je[Mt]-je[ft]),We}addToSortKeyRanges(D,K){let pe=this.sortKeyRanges[this.sortKeyRanges.length-1];pe&&pe.sortKey===K?pe.symbolInstanceEnd=D+1:this.sortKeyRanges.push({sortKey:K,symbolInstanceStart:D,symbolInstanceEnd:D+1})}sortFeatures(D){if(this.sortFeaturesByY&&this.sortedAngle!==D&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(D),this.sortedAngle=D,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(let K of this.symbolInstanceIndexes){let pe=this.symbolInstances.get(K);this.featureSortOrder.push(pe.featureIndex),[pe.rightJustifiedTextSymbolIndex,pe.centerJustifiedTextSymbolIndex,pe.leftJustifiedTextSymbolIndex].forEach((ke,je,We)=>{ke>=0&&We.indexOf(ke)===je&&this.addIndicesForPlacedSymbol(this.text,ke)}),pe.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,pe.verticalPlacedTextSymbolIndex),pe.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,pe.placedIconSymbolIndex),pe.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,pe.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let lf,E0;_i(\"SymbolBucket\",um,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),um.MAX_GLYPHS=65535,um.addDynamicAttributes=z1;var Eg={get paint(){return E0=E0||new Ne({\"icon-opacity\":new zo(re.paint_symbol[\"icon-opacity\"]),\"icon-color\":new zo(re.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new zo(re.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new zo(re.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new zo(re.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new fo(re.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new fo(re.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new zo(re.paint_symbol[\"text-opacity\"]),\"text-color\":new zo(re.paint_symbol[\"text-color\"],{runtimeType:Vt,getOverride:H=>H.textColor,hasOverride:H=>!!H.textColor}),\"text-halo-color\":new zo(re.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new zo(re.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new zo(re.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new fo(re.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new fo(re.paint_symbol[\"text-translate-anchor\"])})},get layout(){return lf=lf||new Ne({\"symbol-placement\":new fo(re.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new fo(re.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new fo(re.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new zo(re.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new fo(re.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new fo(re.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new fo(re.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new fo(re.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new fo(re.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new fo(re.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new zo(re.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new fo(re.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new fo(re.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new zo(re.layout_symbol[\"icon-image\"]),\"icon-rotate\":new zo(re.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new zo(re.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new fo(re.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new zo(re.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new zo(re.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new fo(re.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new fo(re.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new fo(re.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new zo(re.layout_symbol[\"text-field\"]),\"text-font\":new zo(re.layout_symbol[\"text-font\"]),\"text-size\":new zo(re.layout_symbol[\"text-size\"]),\"text-max-width\":new zo(re.layout_symbol[\"text-max-width\"]),\"text-line-height\":new fo(re.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new zo(re.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new zo(re.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new zo(re.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new fo(re.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new zo(re.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new zo(re.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new fo(re.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new fo(re.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new zo(re.layout_symbol[\"text-rotate\"]),\"text-padding\":new fo(re.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new fo(re.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new zo(re.layout_symbol[\"text-transform\"]),\"text-offset\":new zo(re.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new fo(re.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new fo(re.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new fo(re.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new fo(re.layout_symbol[\"text-optional\"])})}};class C0{constructor(D){if(D.property.overrides===void 0)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=D.property.overrides?D.property.overrides.runtimeType:st,this.defaultValue=D}evaluate(D){if(D.formattedSection){let K=this.defaultValue.property.overrides;if(K&&K.hasOverride(D.formattedSection))return K.getOverride(D.formattedSection)}return D.feature&&D.featureState?this.defaultValue.evaluate(D.feature,D.featureState):this.defaultValue.property.specification.default}eachChild(D){this.defaultValue.isConstant()||D(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}_i(\"FormatSectionOverride\",C0,{omit:[\"defaultValue\"]});class Dv extends ae{constructor(D){super(D,Eg)}recalculate(D,K){if(super.recalculate(D,K),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout._values[\"icon-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout._values[\"text-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")===\"map\"?\"map\":\"viewport\"),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){let pe=this.layout.get(\"text-writing-mode\");if(pe){let ke=[];for(let je of pe)ke.indexOf(je)<0&&ke.push(je);this.layout._values[\"text-writing-mode\"]=ke}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(D,K,pe,ke){let je=this.layout.get(D).evaluate(K,{},pe,ke),We=this._unevaluatedLayout._values[D];return We.isDataDriven()||Ac(We.value)||!je?je:function(ft,Mt){return Mt.replace(/{([^{}]+)}/g,(Ut,nr)=>ft&&nr in ft?String(ft[nr]):\"\")}(K.properties,je)}createBucket(D){return new um(D)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(let D of Eg.paint.overridableProperties){if(!Dv.hasPaintOverride(this.layout,D))continue;let K=this.paint.get(D),pe=new C0(K),ke=new Lu(pe,K.property.specification),je=null;je=K.value.kind===\"constant\"||K.value.kind===\"source\"?new dc(\"source\",ke):new vu(\"composite\",ke,K.value.zoomStops),this.paint._values[D]=new wu(K.property,je,K.parameters)}}_handleOverridablePaintPropertyUpdate(D,K,pe){return!(!this.layout||K.isDataDriven()||pe.isDataDriven())&&Dv.hasPaintOverride(this.layout,D)}static hasPaintOverride(D,K){let pe=D.get(\"text-field\"),ke=Eg.paint.properties[K],je=!1,We=ft=>{for(let Mt of ft)if(ke.overrides&&ke.overrides.hasOverride(Mt))return void(je=!0)};if(pe.value.kind===\"constant\"&&pe.value.value instanceof ma)We(pe.value.value.sections);else if(pe.value.kind===\"source\"){let ft=Ut=>{je||(Ut instanceof Nr&&xt(Ut.value)===jr?We(Ut.value.sections):Ut instanceof os?We(Ut.sections):Ut.eachChild(ft))},Mt=pe.value;Mt._styleExpression&&ft(Mt._styleExpression.expression)}return je}}let Bx;var k0={get paint(){return Bx=Bx||new Ne({\"background-color\":new fo(re.paint_background[\"background-color\"]),\"background-pattern\":new lc(re.paint_background[\"background-pattern\"]),\"background-opacity\":new fo(re.paint_background[\"background-opacity\"])})}};class QT extends ae{constructor(D){super(D,k0)}}let B1;var Nx={get paint(){return B1=B1||new Ne({\"raster-opacity\":new fo(re.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new fo(re.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new fo(re.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new fo(re.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new fo(re.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new fo(re.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new fo(re.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new fo(re.paint_raster[\"raster-fade-duration\"])})}};class L0 extends ae{constructor(D){super(D,Nx)}}class N1 extends ae{constructor(D){super(D,{}),this.onAdd=K=>{this.implementation.onAdd&&this.implementation.onAdd(K,K.painter.context.gl)},this.onRemove=K=>{this.implementation.onRemove&&this.implementation.onRemove(K,K.painter.context.gl)},this.implementation=D}is3D(){return this.implementation.renderingMode===\"3d\"}hasOffscreenPass(){return this.implementation.prerender!==void 0}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class U1{constructor(D){this._methodToThrottle=D,this._triggered=!1,typeof MessageChannel<\"u\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(()=>{this._triggered=!1,this._methodToThrottle()},0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}let j1=63710088e-1;class Hd{constructor(D,K){if(isNaN(D)||isNaN(K))throw new Error(`Invalid LngLat object: (${D}, ${K})`);if(this.lng=+D,this.lat=+K,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new Hd(S(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(D){let K=Math.PI/180,pe=this.lat*K,ke=D.lat*K,je=Math.sin(pe)*Math.sin(ke)+Math.cos(pe)*Math.cos(ke)*Math.cos((D.lng-this.lng)*K);return j1*Math.acos(Math.min(je,1))}static convert(D){if(D instanceof Hd)return D;if(Array.isArray(D)&&(D.length===2||D.length===3))return new Hd(Number(D[0]),Number(D[1]));if(!Array.isArray(D)&&typeof D==\"object\"&&D!==null)return new Hd(Number(\"lng\"in D?D.lng:D.lon),Number(D.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")}}let cm=2*Math.PI*j1;function Ux(H){return cm*Math.cos(H*Math.PI/180)}function Cg(H){return(180+H)/360}function jx(H){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+H*Math.PI/360)))/360}function kg(H,D){return H/Ux(D)}function P0(H){return 360/Math.PI*Math.atan(Math.exp((180-360*H)*Math.PI/180))-90}class I0{constructor(D,K,pe=0){this.x=+D,this.y=+K,this.z=+pe}static fromLngLat(D,K=0){let pe=Hd.convert(D);return new I0(Cg(pe.lng),jx(pe.lat),kg(K,pe.lat))}toLngLat(){return new Hd(360*this.x-180,P0(this.y))}toAltitude(){return this.z*Ux(P0(this.y))}meterInMercatorCoordinateUnits(){return 1/cm*(D=P0(this.y),1/Math.cos(D*Math.PI/180));var D}}function ad(H,D,K){var pe=2*Math.PI*6378137/256/Math.pow(2,K);return[H*pe-2*Math.PI*6378137/2,D*pe-2*Math.PI*6378137/2]}class q1{constructor(D,K,pe){if(!function(ke,je,We){return!(ke<0||ke>25||We<0||We>=Math.pow(2,ke)||je<0||je>=Math.pow(2,ke))}(D,K,pe))throw new Error(`x=${K}, y=${pe}, z=${D} outside of bounds. 0<=x<${Math.pow(2,D)}, 0<=y<${Math.pow(2,D)} 0<=z<=25 `);this.z=D,this.x=K,this.y=pe,this.key=R0(0,D,D,K,pe)}equals(D){return this.z===D.z&&this.x===D.x&&this.y===D.y}url(D,K,pe){let ke=(We=this.y,ft=this.z,Mt=ad(256*(je=this.x),256*(We=Math.pow(2,ft)-We-1),ft),Ut=ad(256*(je+1),256*(We+1),ft),Mt[0]+\",\"+Mt[1]+\",\"+Ut[0]+\",\"+Ut[1]);var je,We,ft,Mt,Ut;let nr=function(Mr,zr,Hr){let oa,va=\"\";for(let Ga=Mr;Ga>0;Ga--)oa=1<<Ga-1,va+=(zr&oa?1:0)+(Hr&oa?2:0);return va}(this.z,this.x,this.y);return D[(this.x+this.y)%D.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(pe===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,K>1?\"@2x\":\"\").replace(/{quadkey}/g,nr).replace(/{bbox-epsg-3857}/g,ke)}isChildOf(D){let K=this.z-D.z;return K>0&&D.x===this.x>>K&&D.y===this.y>>K}getTilePoint(D){let K=Math.pow(2,this.z);return new i((D.x*K-this.x)*vo,(D.y*K-this.y)*vo)}toString(){return`${this.z}/${this.x}/${this.y}`}}class qx{constructor(D,K){this.wrap=D,this.canonical=K,this.key=R0(D,K.z,K.z,K.x,K.y)}}class Gp{constructor(D,K,pe,ke,je){if(D<pe)throw new Error(`overscaledZ should be >= z; overscaledZ = ${D}; z = ${pe}`);this.overscaledZ=D,this.wrap=K,this.canonical=new q1(pe,+ke,+je),this.key=R0(K,D,pe,ke,je)}clone(){return new Gp(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(D){return this.overscaledZ===D.overscaledZ&&this.wrap===D.wrap&&this.canonical.equals(D.canonical)}scaledTo(D){if(D>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${D}; overscaledZ = ${this.overscaledZ}`);let K=this.canonical.z-D;return D>this.canonical.z?new Gp(D,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Gp(D,this.wrap,D,this.canonical.x>>K,this.canonical.y>>K)}calculateScaledKey(D,K){if(D>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${D}; overscaledZ = ${this.overscaledZ}`);let pe=this.canonical.z-D;return D>this.canonical.z?R0(this.wrap*+K,D,this.canonical.z,this.canonical.x,this.canonical.y):R0(this.wrap*+K,D,D,this.canonical.x>>pe,this.canonical.y>>pe)}isChildOf(D){if(D.wrap!==this.wrap)return!1;let K=this.canonical.z-D.canonical.z;return D.overscaledZ===0||D.overscaledZ<this.overscaledZ&&D.canonical.x===this.canonical.x>>K&&D.canonical.y===this.canonical.y>>K}children(D){if(this.overscaledZ>=D)return[new Gp(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];let K=this.canonical.z+1,pe=2*this.canonical.x,ke=2*this.canonical.y;return[new Gp(K,this.wrap,K,pe,ke),new Gp(K,this.wrap,K,pe+1,ke),new Gp(K,this.wrap,K,pe,ke+1),new Gp(K,this.wrap,K,pe+1,ke+1)]}isLessThan(D){return this.wrap<D.wrap||!(this.wrap>D.wrap)&&(this.overscaledZ<D.overscaledZ||!(this.overscaledZ>D.overscaledZ)&&(this.canonical.x<D.canonical.x||!(this.canonical.x>D.canonical.x)&&this.canonical.y<D.canonical.y))}wrapped(){return new Gp(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(D){return new Gp(this.overscaledZ,D,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new qx(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(D){return this.canonical.getTilePoint(new I0(D.x-this.wrap,D.y))}}function R0(H,D,K,pe,ke){(H*=2)<0&&(H=-1*H-1);let je=1<<K;return(je*je*H+je*ke+pe).toString(36)+K.toString(36)+D.toString(36)}_i(\"CanonicalTileID\",q1),_i(\"OverscaledTileID\",Gp,{omit:[\"posMatrix\"]});class Vx{constructor(D,K,pe,ke=1,je=1,We=1,ft=0){if(this.uid=D,K.height!==K.width)throw new RangeError(\"DEM tiles must be square\");if(pe&&![\"mapbox\",\"terrarium\",\"custom\"].includes(pe))return void h(`\"${pe}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=K.height;let Mt=this.dim=K.height-2;switch(this.data=new Uint32Array(K.data.buffer),pe){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=ke,this.greenFactor=je,this.blueFactor=We,this.baseShift=ft;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let Ut=0;Ut<Mt;Ut++)this.data[this._idx(-1,Ut)]=this.data[this._idx(0,Ut)],this.data[this._idx(Mt,Ut)]=this.data[this._idx(Mt-1,Ut)],this.data[this._idx(Ut,-1)]=this.data[this._idx(Ut,0)],this.data[this._idx(Ut,Mt)]=this.data[this._idx(Ut,Mt-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(Mt,-1)]=this.data[this._idx(Mt-1,0)],this.data[this._idx(-1,Mt)]=this.data[this._idx(0,Mt-1)],this.data[this._idx(Mt,Mt)]=this.data[this._idx(Mt-1,Mt-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let Ut=0;Ut<Mt;Ut++)for(let nr=0;nr<Mt;nr++){let Mr=this.get(Ut,nr);Mr>this.max&&(this.max=Mr),Mr<this.min&&(this.min=Mr)}}get(D,K){let pe=new Uint8Array(this.data.buffer),ke=4*this._idx(D,K);return this.unpack(pe[ke],pe[ke+1],pe[ke+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(D,K){if(D<-1||D>=this.dim+1||K<-1||K>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(K+1)*this.stride+(D+1)}unpack(D,K,pe){return D*this.redFactor+K*this.greenFactor+pe*this.blueFactor-this.baseShift}getPixels(){return new Di({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(D,K,pe){if(this.dim!==D.dim)throw new Error(\"dem dimension mismatch\");let ke=K*this.dim,je=K*this.dim+this.dim,We=pe*this.dim,ft=pe*this.dim+this.dim;switch(K){case-1:ke=je-1;break;case 1:je=ke+1}switch(pe){case-1:We=ft-1;break;case 1:ft=We+1}let Mt=-K*this.dim,Ut=-pe*this.dim;for(let nr=We;nr<ft;nr++)for(let Mr=ke;Mr<je;Mr++)this.data[this._idx(Mr,nr)]=D.data[this._idx(Mr+Mt,nr+Ut)]}}_i(\"DEMData\",Vx);class Gx{constructor(D){this._stringToNumber={},this._numberToString=[];for(let K=0;K<D.length;K++){let pe=D[K];this._stringToNumber[pe]=K,this._numberToString[K]=pe}}encode(D){return this._stringToNumber[D]}decode(D){if(D>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${D} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[D]}}class V1{constructor(D,K,pe,ke,je){this.type=\"Feature\",this._vectorTileFeature=D,D._z=K,D._x=pe,D._y=ke,this.properties=D.properties,this.id=je}get geometry(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(D){this._geometry=D}toJSON(){let D={geometry:this.geometry};for(let K in this)K!==\"_geometry\"&&K!==\"_vectorTileFeature\"&&(D[K]=this[K]);return D}}class zv{constructor(D,K){this.tileID=D,this.x=D.canonical.x,this.y=D.canonical.y,this.z=D.canonical.z,this.grid=new Fi(vo,16,0),this.grid3D=new Fi(vo,16,0),this.featureIndexArray=new Js,this.promoteId=K}insert(D,K,pe,ke,je,We){let ft=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(pe,ke,je);let Mt=We?this.grid3D:this.grid;for(let Ut=0;Ut<K.length;Ut++){let nr=K[Ut],Mr=[1/0,1/0,-1/0,-1/0];for(let zr=0;zr<nr.length;zr++){let Hr=nr[zr];Mr[0]=Math.min(Mr[0],Hr.x),Mr[1]=Math.min(Mr[1],Hr.y),Mr[2]=Math.max(Mr[2],Hr.x),Mr[3]=Math.max(Mr[3],Hr.y)}Mr[0]<vo&&Mr[1]<vo&&Mr[2]>=0&&Mr[3]>=0&&Mt.insert(ft,Mr[0],Mr[1],Mr[2],Mr[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new Jr.VectorTile(new P1(this.rawTileData)).layers,this.sourceLayerCoder=new Gx(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(D,K,pe,ke){this.loadVTLayers();let je=D.params||{},We=vo/D.tileSize/D.scale,ft=Sc(je.filter),Mt=D.queryGeometry,Ut=D.queryPadding*We,nr=Wx(Mt),Mr=this.grid.query(nr.minX-Ut,nr.minY-Ut,nr.maxX+Ut,nr.maxY+Ut),zr=Wx(D.cameraQueryGeometry),Hr=this.grid3D.query(zr.minX-Ut,zr.minY-Ut,zr.maxX+Ut,zr.maxY+Ut,(Ga,Qa,Yi,xi)=>function(Hi,rn,jn,ko,vs){for(let Dn of Hi)if(rn<=Dn.x&&jn<=Dn.y&&ko>=Dn.x&&vs>=Dn.y)return!0;let go=[new i(rn,jn),new i(rn,vs),new i(ko,vs),new i(ko,jn)];if(Hi.length>2){for(let Dn of go)if(Ai(Hi,Dn))return!0}for(let Dn=0;Dn<Hi.length-1;Dn++)if(bi(Hi[Dn],Hi[Dn+1],go))return!0;return!1}(D.cameraQueryGeometry,Ga-Ut,Qa-Ut,Yi+Ut,xi+Ut));for(let Ga of Hr)Mr.push(Ga);Mr.sort(eA);let oa={},va;for(let Ga=0;Ga<Mr.length;Ga++){let Qa=Mr[Ga];if(Qa===va)continue;va=Qa;let Yi=this.featureIndexArray.get(Qa),xi=null;this.loadMatchingFeature(oa,Yi.bucketIndex,Yi.sourceLayerIndex,Yi.featureIndex,ft,je.layers,je.availableImages,K,pe,ke,(Hi,rn,jn)=>(xi||(xi=Tl(Hi)),rn.queryIntersectsFeature(Mt,Hi,jn,xi,this.z,D.transform,We,D.pixelPosMatrix)))}return oa}loadMatchingFeature(D,K,pe,ke,je,We,ft,Mt,Ut,nr,Mr){let zr=this.bucketLayerIDs[K];if(We&&!function(Ga,Qa){for(let Yi=0;Yi<Ga.length;Yi++)if(Qa.indexOf(Ga[Yi])>=0)return!0;return!1}(We,zr))return;let Hr=this.sourceLayerCoder.decode(pe),oa=this.vtLayers[Hr].feature(ke);if(je.needGeometry){let Ga=Gl(oa,!0);if(!je.filter(new Ls(this.tileID.overscaledZ),Ga,this.tileID.canonical))return}else if(!je.filter(new Ls(this.tileID.overscaledZ),oa))return;let va=this.getId(oa,Hr);for(let Ga=0;Ga<zr.length;Ga++){let Qa=zr[Ga];if(We&&We.indexOf(Qa)<0)continue;let Yi=Mt[Qa];if(!Yi)continue;let xi={};va&&nr&&(xi=nr.getState(Yi.sourceLayer||\"_geojsonTileLayer\",va));let Hi=E({},Ut[Qa]);Hi.paint=Hx(Hi.paint,Yi.paint,oa,xi,ft),Hi.layout=Hx(Hi.layout,Yi.layout,oa,xi,ft);let rn=!Mr||Mr(oa,Yi,xi);if(!rn)continue;let jn=new V1(oa,this.z,this.x,this.y,va);jn.layer=Hi;let ko=D[Qa];ko===void 0&&(ko=D[Qa]=[]),ko.push({featureIndex:ke,feature:jn,intersectionZ:rn})}}lookupSymbolFeatures(D,K,pe,ke,je,We,ft,Mt){let Ut={};this.loadVTLayers();let nr=Sc(je);for(let Mr of D)this.loadMatchingFeature(Ut,pe,ke,Mr,nr,We,ft,Mt,K);return Ut}hasLayer(D){for(let K of this.bucketLayerIDs)for(let pe of K)if(D===pe)return!0;return!1}getId(D,K){let pe=D.id;return this.promoteId&&(pe=D.properties[typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[K]],typeof pe==\"boolean\"&&(pe=Number(pe))),pe}}function Hx(H,D,K,pe,ke){return b(H,(je,We)=>{let ft=D instanceof gc?D.get(We):null;return ft&&ft.evaluate?ft.evaluate(K,pe,ke):ft})}function Wx(H){let D=1/0,K=1/0,pe=-1/0,ke=-1/0;for(let je of H)D=Math.min(D,je.x),K=Math.min(K,je.y),pe=Math.max(pe,je.x),ke=Math.max(ke,je.y);return{minX:D,minY:K,maxX:pe,maxY:ke}}function eA(H,D){return D-H}function Xx(H,D,K,pe,ke){let je=[];for(let We=0;We<H.length;We++){let ft=H[We],Mt;for(let Ut=0;Ut<ft.length-1;Ut++){let nr=ft[Ut],Mr=ft[Ut+1];nr.x<D&&Mr.x<D||(nr.x<D?nr=new i(D,nr.y+(D-nr.x)/(Mr.x-nr.x)*(Mr.y-nr.y))._round():Mr.x<D&&(Mr=new i(D,nr.y+(D-nr.x)/(Mr.x-nr.x)*(Mr.y-nr.y))._round()),nr.y<K&&Mr.y<K||(nr.y<K?nr=new i(nr.x+(K-nr.y)/(Mr.y-nr.y)*(Mr.x-nr.x),K)._round():Mr.y<K&&(Mr=new i(nr.x+(K-nr.y)/(Mr.y-nr.y)*(Mr.x-nr.x),K)._round()),nr.x>=pe&&Mr.x>=pe||(nr.x>=pe?nr=new i(pe,nr.y+(pe-nr.x)/(Mr.x-nr.x)*(Mr.y-nr.y))._round():Mr.x>=pe&&(Mr=new i(pe,nr.y+(pe-nr.x)/(Mr.x-nr.x)*(Mr.y-nr.y))._round()),nr.y>=ke&&Mr.y>=ke||(nr.y>=ke?nr=new i(nr.x+(ke-nr.y)/(Mr.y-nr.y)*(Mr.x-nr.x),ke)._round():Mr.y>=ke&&(Mr=new i(nr.x+(ke-nr.y)/(Mr.y-nr.y)*(Mr.x-nr.x),ke)._round()),Mt&&nr.equals(Mt[Mt.length-1])||(Mt=[nr],je.push(Mt)),Mt.push(Mr)))))}}return je}_i(\"FeatureIndex\",zv,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class Wd extends i{constructor(D,K,pe,ke){super(D,K),this.angle=pe,ke!==void 0&&(this.segment=ke)}clone(){return new Wd(this.x,this.y,this.angle,this.segment)}}function G1(H,D,K,pe,ke){if(D.segment===void 0||K===0)return!0;let je=D,We=D.segment+1,ft=0;for(;ft>-K/2;){if(We--,We<0)return!1;ft-=H[We].dist(je),je=H[We]}ft+=H[We].dist(H[We+1]),We++;let Mt=[],Ut=0;for(;ft<K/2;){let nr=H[We],Mr=H[We+1];if(!Mr)return!1;let zr=H[We-1].angleTo(nr)-nr.angleTo(Mr);for(zr=Math.abs((zr+3*Math.PI)%(2*Math.PI)-Math.PI),Mt.push({distance:ft,angleDelta:zr}),Ut+=zr;ft-Mt[0].distance>pe;)Ut-=Mt.shift().angleDelta;if(Ut>ke)return!1;We++,ft+=nr.dist(Mr)}return!0}function Zx(H){let D=0;for(let K=0;K<H.length-1;K++)D+=H[K].dist(H[K+1]);return D}function Yx(H,D,K){return H?.6*D*K:0}function Kx(H,D){return Math.max(H?H.right-H.left:0,D?D.right-D.left:0)}function tA(H,D,K,pe,ke,je){let We=Yx(K,ke,je),ft=Kx(K,pe)*je,Mt=0,Ut=Zx(H)/2;for(let nr=0;nr<H.length-1;nr++){let Mr=H[nr],zr=H[nr+1],Hr=Mr.dist(zr);if(Mt+Hr>Ut){let oa=(Ut-Mt)/Hr,va=Xn.number(Mr.x,zr.x,oa),Ga=Xn.number(Mr.y,zr.y,oa),Qa=new Wd(va,Ga,zr.angleTo(Mr),nr);return Qa._round(),!We||G1(H,Qa,ft,We,D)?Qa:void 0}Mt+=Hr}}function rA(H,D,K,pe,ke,je,We,ft,Mt){let Ut=Yx(pe,je,We),nr=Kx(pe,ke),Mr=nr*We,zr=H[0].x===0||H[0].x===Mt||H[0].y===0||H[0].y===Mt;return D-Mr<D/4&&(D=Mr+D/4),Jx(H,zr?D/2*ft%D:(nr/2+2*je)*We*ft%D,D,Ut,K,Mr,zr,!1,Mt)}function Jx(H,D,K,pe,ke,je,We,ft,Mt){let Ut=je/2,nr=Zx(H),Mr=0,zr=D-K,Hr=[];for(let oa=0;oa<H.length-1;oa++){let va=H[oa],Ga=H[oa+1],Qa=va.dist(Ga),Yi=Ga.angleTo(va);for(;zr+K<Mr+Qa;){zr+=K;let xi=(zr-Mr)/Qa,Hi=Xn.number(va.x,Ga.x,xi),rn=Xn.number(va.y,Ga.y,xi);if(Hi>=0&&Hi<Mt&&rn>=0&&rn<Mt&&zr-Ut>=0&&zr+Ut<=nr){let jn=new Wd(Hi,rn,Yi,oa);jn._round(),pe&&!G1(H,jn,je,pe,ke)||Hr.push(jn)}}Mr+=Qa}return ft||Hr.length||We||(Hr=Jx(H,Mr/2,K,pe,ke,je,We,!0,Mt)),Hr}_i(\"Anchor\",Wd);let fm=zh;function $x(H,D,K,pe){let ke=[],je=H.image,We=je.pixelRatio,ft=je.paddedRect.w-2*fm,Mt=je.paddedRect.h-2*fm,Ut={x1:H.left,y1:H.top,x2:H.right,y2:H.bottom},nr=je.stretchX||[[0,ft]],Mr=je.stretchY||[[0,Mt]],zr=(_n,us)=>_n+us[1]-us[0],Hr=nr.reduce(zr,0),oa=Mr.reduce(zr,0),va=ft-Hr,Ga=Mt-oa,Qa=0,Yi=Hr,xi=0,Hi=oa,rn=0,jn=va,ko=0,vs=Ga;if(je.content&&pe){let _n=je.content,us=_n[2]-_n[0],No=_n[3]-_n[1];(je.textFitWidth||je.textFitHeight)&&(Ut=zx(H)),Qa=Xd(nr,0,_n[0]),xi=Xd(Mr,0,_n[1]),Yi=Xd(nr,_n[0],_n[2]),Hi=Xd(Mr,_n[1],_n[3]),rn=_n[0]-Qa,ko=_n[1]-xi,jn=us-Yi,vs=No-Hi}let go=Ut.x1,Dn=Ut.y1,is=Ut.x2-go,Vo=Ut.y2-Dn,Bo=(_n,us,No,Es)=>{let Ku=Lg(_n.stretch-Qa,Yi,is,go),Uu=hm(_n.fixed-rn,jn,_n.stretch,Hr),Qf=Lg(us.stretch-xi,Hi,Vo,Dn),Hp=hm(us.fixed-ko,vs,us.stretch,oa),bh=Lg(No.stretch-Qa,Yi,is,go),eh=hm(No.fixed-rn,jn,No.stretch,Hr),Jh=Lg(Es.stretch-xi,Hi,Vo,Dn),$h=hm(Es.fixed-ko,vs,Es.stretch,oa),Qh=new i(Ku,Qf),uf=new i(bh,Qf),th=new i(bh,Jh),Fh=new i(Ku,Jh),wh=new i(Uu/We,Hp/We),fh=new i(eh/We,$h/We),gf=D*Math.PI/180;if(gf){let uu=Math.sin(gf),fc=Math.cos(gf),Ju=[fc,-uu,uu,fc];Qh._matMult(Ju),uf._matMult(Ju),Fh._matMult(Ju),th._matMult(Ju)}let Ip=_n.stretch+_n.fixed,pp=us.stretch+us.fixed;return{tl:Qh,tr:uf,bl:Fh,br:th,tex:{x:je.paddedRect.x+fm+Ip,y:je.paddedRect.y+fm+pp,w:No.stretch+No.fixed-Ip,h:Es.stretch+Es.fixed-pp},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:wh,pixelOffsetBR:fh,minFontScaleX:jn/We/is,minFontScaleY:vs/We/Vo,isSDF:K}};if(pe&&(je.stretchX||je.stretchY)){let _n=Qx(nr,va,Hr),us=Qx(Mr,Ga,oa);for(let No=0;No<_n.length-1;No++){let Es=_n[No],Ku=_n[No+1];for(let Uu=0;Uu<us.length-1;Uu++)ke.push(Bo(Es,us[Uu],Ku,us[Uu+1]))}}else ke.push(Bo({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:ft+1},{fixed:0,stretch:Mt+1}));return ke}function Xd(H,D,K){let pe=0;for(let ke of H)pe+=Math.max(D,Math.min(K,ke[1]))-Math.max(D,Math.min(K,ke[0]));return pe}function Qx(H,D,K){let pe=[{fixed:-fm,stretch:0}];for(let[ke,je]of H){let We=pe[pe.length-1];pe.push({fixed:ke-We.stretch,stretch:We.stretch}),pe.push({fixed:ke-We.stretch,stretch:We.stretch+(je-ke)})}return pe.push({fixed:D+fm,stretch:K}),pe}function Lg(H,D,K,pe){return H/D*K+pe}function hm(H,D,K,pe){return H-D*K/pe}class hv{constructor(D,K,pe,ke,je,We,ft,Mt,Ut,nr){var Mr;if(this.boxStartIndex=D.length,Ut){let zr=We.top,Hr=We.bottom,oa=We.collisionPadding;oa&&(zr-=oa[1],Hr+=oa[3]);let va=Hr-zr;va>0&&(va=Math.max(10,va),this.circleDiameter=va)}else{let zr=!((Mr=We.image)===null||Mr===void 0)&&Mr.content&&(We.image.textFitWidth||We.image.textFitHeight)?zx(We):{x1:We.left,y1:We.top,x2:We.right,y2:We.bottom};zr.y1=zr.y1*ft-Mt[0],zr.y2=zr.y2*ft+Mt[2],zr.x1=zr.x1*ft-Mt[3],zr.x2=zr.x2*ft+Mt[1];let Hr=We.collisionPadding;if(Hr&&(zr.x1-=Hr[0]*ft,zr.y1-=Hr[1]*ft,zr.x2+=Hr[2]*ft,zr.y2+=Hr[3]*ft),nr){let oa=new i(zr.x1,zr.y1),va=new i(zr.x2,zr.y1),Ga=new i(zr.x1,zr.y2),Qa=new i(zr.x2,zr.y2),Yi=nr*Math.PI/180;oa._rotate(Yi),va._rotate(Yi),Ga._rotate(Yi),Qa._rotate(Yi),zr.x1=Math.min(oa.x,va.x,Ga.x,Qa.x),zr.x2=Math.max(oa.x,va.x,Ga.x,Qa.x),zr.y1=Math.min(oa.y,va.y,Ga.y,Qa.y),zr.y2=Math.max(oa.y,va.y,Ga.y,Qa.y)}D.emplaceBack(K.x,K.y,zr.x1,zr.y1,zr.x2,zr.y2,pe,ke,je)}this.boxEndIndex=D.length}}class fd{constructor(D=[],K=(pe,ke)=>pe<ke?-1:pe>ke?1:0){if(this.data=D,this.length=this.data.length,this.compare=K,this.length>0)for(let pe=(this.length>>1)-1;pe>=0;pe--)this._down(pe)}push(D){this.data.push(D),this._up(this.length++)}pop(){if(this.length===0)return;let D=this.data[0],K=this.data.pop();return--this.length>0&&(this.data[0]=K,this._down(0)),D}peek(){return this.data[0]}_up(D){let{data:K,compare:pe}=this,ke=K[D];for(;D>0;){let je=D-1>>1,We=K[je];if(pe(ke,We)>=0)break;K[D]=We,D=je}K[D]=ke}_down(D){let{data:K,compare:pe}=this,ke=this.length>>1,je=K[D];for(;D<ke;){let We=1+(D<<1),ft=We+1;if(ft<this.length&&pe(K[ft],K[We])<0&&(We=ft),pe(K[We],je)>=0)break;K[D]=K[We],D=We}K[D]=je}}function aA(H,D=1,K=!1){let pe=1/0,ke=1/0,je=-1/0,We=-1/0,ft=H[0];for(let Hr=0;Hr<ft.length;Hr++){let oa=ft[Hr];(!Hr||oa.x<pe)&&(pe=oa.x),(!Hr||oa.y<ke)&&(ke=oa.y),(!Hr||oa.x>je)&&(je=oa.x),(!Hr||oa.y>We)&&(We=oa.y)}let Mt=Math.min(je-pe,We-ke),Ut=Mt/2,nr=new fd([],iA);if(Mt===0)return new i(pe,ke);for(let Hr=pe;Hr<je;Hr+=Mt)for(let oa=ke;oa<We;oa+=Mt)nr.push(new pm(Hr+Ut,oa+Ut,Ut,H));let Mr=function(Hr){let oa=0,va=0,Ga=0,Qa=Hr[0];for(let Yi=0,xi=Qa.length,Hi=xi-1;Yi<xi;Hi=Yi++){let rn=Qa[Yi],jn=Qa[Hi],ko=rn.x*jn.y-jn.x*rn.y;va+=(rn.x+jn.x)*ko,Ga+=(rn.y+jn.y)*ko,oa+=3*ko}return new pm(va/oa,Ga/oa,0,Hr)}(H),zr=nr.length;for(;nr.length;){let Hr=nr.pop();(Hr.d>Mr.d||!Mr.d)&&(Mr=Hr,K&&console.log(\"found best %d after %d probes\",Math.round(1e4*Hr.d)/1e4,zr)),Hr.max-Mr.d<=D||(Ut=Hr.h/2,nr.push(new pm(Hr.p.x-Ut,Hr.p.y-Ut,Ut,H)),nr.push(new pm(Hr.p.x+Ut,Hr.p.y-Ut,Ut,H)),nr.push(new pm(Hr.p.x-Ut,Hr.p.y+Ut,Ut,H)),nr.push(new pm(Hr.p.x+Ut,Hr.p.y+Ut,Ut,H)),zr+=4)}return K&&(console.log(`num probes: ${zr}`),console.log(`best distance: ${Mr.d}`)),Mr.p}function iA(H,D){return D.max-H.max}function pm(H,D,K,pe){this.p=new i(H,D),this.h=K,this.d=function(ke,je){let We=!1,ft=1/0;for(let Mt=0;Mt<je.length;Mt++){let Ut=je[Mt];for(let nr=0,Mr=Ut.length,zr=Mr-1;nr<Mr;zr=nr++){let Hr=Ut[nr],oa=Ut[zr];Hr.y>ke.y!=oa.y>ke.y&&ke.x<(oa.x-Hr.x)*(ke.y-Hr.y)/(oa.y-Hr.y)+Hr.x&&(We=!We),ft=Math.min(ft,wa(ke,Hr,oa))}}return(We?1:-1)*Math.sqrt(ft)}(this.p,pe),this.max=this.d+this.h*Math.SQRT2}var xh;e.aq=void 0,(xh=e.aq||(e.aq={}))[xh.center=1]=\"center\",xh[xh.left=2]=\"left\",xh[xh.right=3]=\"right\",xh[xh.top=4]=\"top\",xh[xh.bottom=5]=\"bottom\",xh[xh[\"top-left\"]=6]=\"top-left\",xh[xh[\"top-right\"]=7]=\"top-right\",xh[xh[\"bottom-left\"]=8]=\"bottom-left\",xh[xh[\"bottom-right\"]=9]=\"bottom-right\";let pv=7,Fv=Number.POSITIVE_INFINITY;function H1(H,D){return D[1]!==Fv?function(K,pe,ke){let je=0,We=0;switch(pe=Math.abs(pe),ke=Math.abs(ke),K){case\"top-right\":case\"top-left\":case\"top\":We=ke-pv;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":We=-ke+pv}switch(K){case\"top-right\":case\"bottom-right\":case\"right\":je=-pe;break;case\"top-left\":case\"bottom-left\":case\"left\":je=pe}return[je,We]}(H,D[0],D[1]):function(K,pe){let ke=0,je=0;pe<0&&(pe=0);let We=pe/Math.SQRT2;switch(K){case\"top-right\":case\"top-left\":je=We-pv;break;case\"bottom-right\":case\"bottom-left\":je=-We+pv;break;case\"bottom\":je=-pe+pv;break;case\"top\":je=pe-pv}switch(K){case\"top-right\":case\"bottom-right\":ke=-We;break;case\"top-left\":case\"bottom-left\":ke=We;break;case\"left\":ke=pe;break;case\"right\":ke=-pe}return[ke,je]}(H,D[0])}function eb(H,D,K){var pe;let ke=H.layout,je=(pe=ke.get(\"text-variable-anchor-offset\"))===null||pe===void 0?void 0:pe.evaluate(D,{},K);if(je){let ft=je.values,Mt=[];for(let Ut=0;Ut<ft.length;Ut+=2){let nr=Mt[Ut]=ft[Ut],Mr=ft[Ut+1].map(zr=>zr*lu);nr.startsWith(\"top\")?Mr[1]-=pv:nr.startsWith(\"bottom\")&&(Mr[1]+=pv),Mt[Ut+1]=Mr}return new Ha(Mt)}let We=ke.get(\"text-variable-anchor\");if(We){let ft;ft=H._unevaluatedLayout.getValue(\"text-radial-offset\")!==void 0?[ke.get(\"text-radial-offset\").evaluate(D,{},K)*lu,Fv]:ke.get(\"text-offset\").evaluate(D,{},K).map(Ut=>Ut*lu);let Mt=[];for(let Ut of 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0,function*(){let{uid:Ke,encoding:Ue,rawImageData:Me,redFactor:qe,greenFactor:Ce,blueFactor:Te,baseShift:Pe}=Be,at=Me.width+2,yt=Me.height+2,Tt=e.b(Me)?new e.R({width:at,height:yt},yield e.bw(Me,-1,-1,at,yt)):Me,Ot=new e.bx(Ke,Tt,Ue,qe,Ce,Te,Pe);return this.loaded=this.loaded||{},this.loaded[Ke]=Ot,Ot})}removeTile(Be){let Ke=this.loaded,Ue=Be.uid;Ke&&Ke[Ue]&&delete Ke[Ue]}}function s(bt,Be){if(bt.length!==0){c(bt[0],Be);for(var Ke=1;Ke<bt.length;Ke++)c(bt[Ke],!Be)}}function c(bt,Be){for(var Ke=0,Ue=0,Me=0,qe=bt.length,Ce=qe-1;Me<qe;Ce=Me++){var Te=(bt[Me][0]-bt[Ce][0])*(bt[Ce][1]+bt[Me][1]),Pe=Ke+Te;Ue+=Math.abs(Ke)>=Math.abs(Te)?Ke-Pe+Te:Te-Pe+Ke,Ke=Pe}Ke+Ue>=0!=!!Be&&bt.reverse()}var f=e.by(function bt(Be,Ke){var Ue,Me=Be&&Be.type;if(Me===\"FeatureCollection\")for(Ue=0;Ue<Be.features.length;Ue++)bt(Be.features[Ue],Ke);else if(Me===\"GeometryCollection\")for(Ue=0;Ue<Be.geometries.length;Ue++)bt(Be.geometries[Ue],Ke);else if(Me===\"Feature\")bt(Be.geometry,Ke);else 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Ce=bt[qe],Te=0;Te<Ce.length;Te++){var Pe=Ce[Te];Be=Math.min(Be,Pe.x),Ke=Math.max(Ke,Pe.x),Ue=Math.min(Ue,Pe.y),Me=Math.max(Me,Pe.y)}return[Be,Ue,Ke,Me]},S.prototype.toGeoJSON=l.prototype.toGeoJSON;var E=e.bA,y=_;function b(bt){var Be=new E;return function(Ke,Ue){for(var Me in Ke.layers)Ue.writeMessage(3,p,Ke.layers[Me])}(bt,Be),Be.finish()}function p(bt,Be){var Ke;Be.writeVarintField(15,bt.version||1),Be.writeStringField(1,bt.name||\"\"),Be.writeVarintField(5,bt.extent||4096);var Ue={keys:[],values:[],keycache:{},valuecache:{}};for(Ke=0;Ke<bt.length;Ke++)Ue.feature=bt.feature(Ke),Be.writeMessage(2,u,Ue);var Me=Ue.keys;for(Ke=0;Ke<Me.length;Ke++)Be.writeStringField(3,Me[Ke]);var qe=Ue.values;for(Ke=0;Ke<qe.length;Ke++)Be.writeMessage(4,z,qe[Ke])}function u(bt,Be){var Ke=bt.feature;Ke.id!==void 0&&Be.writeVarintField(1,Ke.id),Be.writeMessage(2,m,bt),Be.writeVarintField(3,Ke.type),Be.writeMessage(4,L,Ke)}function m(bt,Be){var Ke=bt.feature,Ue=bt.keys,Me=bt.values,qe=bt.keycache,Ce=bt.valuecache;for(var Te in Ke.properties){var Pe=Ke.properties[Te],at=qe[Te];if(Pe!==null){at===void 0&&(Ue.push(Te),qe[Te]=at=Ue.length-1),Be.writeVarint(at);var yt=typeof Pe;yt!==\"string\"&&yt!==\"boolean\"&&yt!==\"number\"&&(Pe=JSON.stringify(Pe));var Tt=yt+\":\"+Pe,Ot=Ce[Tt];Ot===void 0&&(Me.push(Pe),Ce[Tt]=Ot=Me.length-1),Be.writeVarint(Ot)}}}function h(bt,Be){return(Be<<3)+(7&bt)}function P(bt){return bt<<1^bt>>31}function L(bt,Be){for(var Ke=bt.loadGeometry(),Ue=bt.type,Me=0,qe=0,Ce=Ke.length,Te=0;Te<Ce;Te++){var Pe=Ke[Te],at=1;Ue===1&&(at=Pe.length),Be.writeVarint(h(1,at));for(var yt=Ue===3?Pe.length-1:Pe.length,Tt=0;Tt<yt;Tt++){Tt===1&&Ue!==1&&Be.writeVarint(h(2,yt-1));var Ot=Pe[Tt].x-Me,Gt=Pe[Tt].y-qe;Be.writeVarint(P(Ot)),Be.writeVarint(P(Gt)),Me+=Ot,qe+=Gt}Ue===3&&Be.writeVarint(h(7,1))}}function z(bt,Be){var Ke=typeof bt;Ke===\"string\"?Be.writeStringField(1,bt):Ke===\"boolean\"?Be.writeBooleanField(7,bt):Ke===\"number\"&&(bt%1!=0?Be.writeDoubleField(3,bt):bt<0?Be.writeSVarintField(6,bt):Be.writeVarintField(5,bt))}v.exports=b,v.exports.fromVectorTileJs=b,v.exports.fromGeojsonVt=function(bt,Be){Be=Be||{};var Ke={};for(var Ue in bt)Ke[Ue]=new y(bt[Ue].features,Be),Ke[Ue].name=Ue,Ke[Ue].version=Be.version,Ke[Ue].extent=Be.extent;return b({layers:Ke})},v.exports.GeoJSONWrapper=y;var F=e.by(v.exports);let B={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:bt=>bt},O=Math.fround||(I=new Float32Array(1),bt=>(I[0]=+bt,I[0]));var I;let N=3,U=5,W=6;class Q{constructor(Be){this.options=Object.assign(Object.create(B),Be),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(Be){let{log:Ke,minZoom:Ue,maxZoom:Me}=this.options;Ke&&console.time(\"total time\");let qe=`prepare ${Be.length} points`;Ke&&console.time(qe),this.points=Be;let Ce=[];for(let Pe=0;Pe<Be.length;Pe++){let at=Be[Pe];if(!at.geometry)continue;let[yt,Tt]=at.geometry.coordinates,Ot=O(he(yt)),Gt=O(G(Tt));Ce.push(Ot,Gt,1/0,Pe,-1,1),this.options.reduce&&Ce.push(0)}let Te=this.trees[Me+1]=this._createTree(Ce);Ke&&console.timeEnd(qe);for(let Pe=Me;Pe>=Ue;Pe--){let at=+Date.now();Te=this.trees[Pe]=this._createTree(this._cluster(Te,Pe)),Ke&&console.log(\"z%d: %d clusters in %dms\",Pe,Te.numItems,+Date.now()-at)}return Ke&&console.timeEnd(\"total time\"),this}getClusters(Be,Ke){let Ue=((Be[0]+180)%360+360)%360-180,Me=Math.max(-90,Math.min(90,Be[1])),qe=Be[2]===180?180:((Be[2]+180)%360+360)%360-180,Ce=Math.max(-90,Math.min(90,Be[3]));if(Be[2]-Be[0]>=360)Ue=-180,qe=180;else if(Ue>qe){let Tt=this.getClusters([Ue,Me,180,Ce],Ke),Ot=this.getClusters([-180,Me,qe,Ce],Ke);return Tt.concat(Ot)}let Te=this.trees[this._limitZoom(Ke)],Pe=Te.range(he(Ue),G(Ce),he(qe),G(Me)),at=Te.data,yt=[];for(let Tt of Pe){let Ot=this.stride*Tt;yt.push(at[Ot+U]>1?ue(at,Ot,this.clusterProps):this.points[at[Ot+N]])}return yt}getChildren(Be){let Ke=this._getOriginId(Be),Ue=this._getOriginZoom(Be),Me=\"No cluster with the specified id.\",qe=this.trees[Ue];if(!qe)throw new Error(Me);let Ce=qe.data;if(Ke*this.stride>=Ce.length)throw new Error(Me);let Te=this.options.radius/(this.options.extent*Math.pow(2,Ue-1)),Pe=qe.within(Ce[Ke*this.stride],Ce[Ke*this.stride+1],Te),at=[];for(let yt of Pe){let Tt=yt*this.stride;Ce[Tt+4]===Be&&at.push(Ce[Tt+U]>1?ue(Ce,Tt,this.clusterProps):this.points[Ce[Tt+N]])}if(at.length===0)throw new Error(Me);return at}getLeaves(Be,Ke,Ue){let Me=[];return this._appendLeaves(Me,Be,Ke=Ke||10,Ue=Ue||0,0),Me}getTile(Be,Ke,Ue){let Me=this.trees[this._limitZoom(Be)],qe=Math.pow(2,Be),{extent:Ce,radius:Te}=this.options,Pe=Te/Ce,at=(Ue-Pe)/qe,yt=(Ue+1+Pe)/qe,Tt={features:[]};return this._addTileFeatures(Me.range((Ke-Pe)/qe,at,(Ke+1+Pe)/qe,yt),Me.data,Ke,Ue,qe,Tt),Ke===0&&this._addTileFeatures(Me.range(1-Pe/qe,at,1,yt),Me.data,qe,Ue,qe,Tt),Ke===qe-1&&this._addTileFeatures(Me.range(0,at,Pe/qe,yt),Me.data,-1,Ue,qe,Tt),Tt.features.length?Tt:null}getClusterExpansionZoom(Be){let Ke=this._getOriginZoom(Be)-1;for(;Ke<=this.options.maxZoom;){let Ue=this.getChildren(Be);if(Ke++,Ue.length!==1)break;Be=Ue[0].properties.cluster_id}return Ke}_appendLeaves(Be,Ke,Ue,Me,qe){let Ce=this.getChildren(Ke);for(let Te of Ce){let Pe=Te.properties;if(Pe&&Pe.cluster?qe+Pe.point_count<=Me?qe+=Pe.point_count:qe=this._appendLeaves(Be,Pe.cluster_id,Ue,Me,qe):qe<Me?qe++:Be.push(Te),Be.length===Ue)break}return qe}_createTree(Be){let Ke=new e.av(Be.length/this.stride|0,this.options.nodeSize,Float32Array);for(let Ue=0;Ue<Be.length;Ue+=this.stride)Ke.add(Be[Ue],Be[Ue+1]);return Ke.finish(),Ke.data=Be,Ke}_addTileFeatures(Be,Ke,Ue,Me,qe,Ce){for(let Te of Be){let 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Ue=bt[Be+U],Me=Ue>=1e4?`${Math.round(Ue/1e3)}k`:Ue>=1e3?Math.round(Ue/100)/10+\"k\":Ue,qe=bt[Be+W],Ce=qe===-1?{}:Object.assign({},Ke[qe]);return Object.assign(Ce,{cluster:!0,cluster_id:bt[Be+N],point_count:Ue,point_count_abbreviated:Me})}function he(bt){return bt/360+.5}function G(bt){let Be=Math.sin(bt*Math.PI/180),Ke=.5-.25*Math.log((1+Be)/(1-Be))/Math.PI;return Ke<0?0:Ke>1?1:Ke}function $(bt){let Be=(180-360*bt)*Math.PI/180;return 360*Math.atan(Math.exp(Be))/Math.PI-90}function J(bt,Be,Ke,Ue){let Me=Ue,qe=Be+(Ke-Be>>1),Ce,Te=Ke-Be,Pe=bt[Be],at=bt[Be+1],yt=bt[Ke],Tt=bt[Ke+1];for(let Ot=Be+3;Ot<Ke;Ot+=3){let Gt=X(bt[Ot],bt[Ot+1],Pe,at,yt,Tt);if(Gt>Me)Ce=Ot,Me=Gt;else if(Gt===Me){let rr=Math.abs(Ot-qe);rr<Te&&(Ce=Ot,Te=rr)}}Me>Ue&&(Ce-Be>3&&J(bt,Be,Ce,Ue),bt[Ce+2]=Me,Ke-Ce>3&&J(bt,Ce,Ke,Ue))}function X(bt,Be,Ke,Ue,Me,qe){let Ce=Me-Ke,Te=qe-Ue;if(Ce!==0||Te!==0){let Pe=((bt-Ke)*Ce+(Be-Ue)*Te)/(Ce*Ce+Te*Te);Pe>1?(Ke=Me,Ue=qe):Pe>0&&(Ke+=Ce*Pe,Ue+=Te*Pe)}return 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la=bt[Tr],Ua=bt[Tr+1],Ba=bt[Tr+2],Ra=bt[Tr+3],ei=bt[Tr+4],za=Me===0?la:Ua,ti=Me===0?Ra:ei,Ci=!1;Ce&&(at=Math.sqrt(Math.pow(la-Ra,2)+Math.pow(Ua-ei,2))),za<Ke?ti>Ke&&(yt=Pe(Te,la,Ua,Ra,ei,Ke),Ce&&(Te.start=Tt+at*yt)):za>Ue?ti<Ue&&(yt=Pe(Te,la,Ua,Ra,ei,Ue),Ce&&(Te.start=Tt+at*yt)):tt(Te,la,Ua,Ba),ti<Ke&&za>=Ke&&(yt=Pe(Te,la,Ua,Ra,ei,Ke),Ci=!0),ti>Ue&&za<=Ue&&(yt=Pe(Te,la,Ua,Ra,ei,Ue),Ci=!0),!qe&&Ci&&(Ce&&(Te.end=Tt+at*yt),Be.push(Te),Te=it(bt)),Ce&&(Tt+=at)}let Ot=bt.length-3,Gt=bt[Ot],rr=bt[Ot+1],Qt=Me===0?Gt:rr;Qt>=Ke&&Qt<=Ue&&tt(Te,Gt,rr,bt[Ot+2]),Ot=Te.length-3,qe&&Ot>=3&&(Te[Ot]!==Te[0]||Te[Ot+1]!==Te[1])&&tt(Te,Te[0],Te[1],Te[2]),Te.length&&Be.push(Te)}function it(bt){let Be=[];return Be.size=bt.size,Be.start=bt.start,Be.end=bt.end,Be}function ot(bt,Be,Ke,Ue,Me,qe){for(let Ce of bt)Xe(Ce,Be,Ke,Ue,Me,qe,!1)}function tt(bt,Be,Ke,Ue){bt.push(Be,Ke,Ue)}function lt(bt,Be,Ke,Ue,Me,qe){let Ce=(qe-Be)/(Ue-Be);return tt(bt,qe,Ke+(Me-Ke)*Ce,1),Ce}function Ee(bt,Be,Ke,Ue,Me,qe){let Ce=(qe-Ke)/(Me-Ke);return tt(bt,Be+(Ue-Be)*Ce,qe,1),Ce}function _e(bt,Be){let Ke=[];for(let Ue=0;Ue<bt.length;Ue++){let Me=bt[Ue],qe=Me.type,Ce;if(qe===\"Point\"||qe===\"MultiPoint\"||qe===\"LineString\")Ce=fe(Me.geometry,Be);else if(qe===\"MultiLineString\"||qe===\"Polygon\"){Ce=[];for(let Te of Me.geometry)Ce.push(fe(Te,Be))}else if(qe===\"MultiPolygon\"){Ce=[];for(let Te of Me.geometry){let Pe=[];for(let at of Te)Pe.push(fe(at,Be));Ce.push(Pe)}}Ke.push(oe(Me.id,qe,Ce,Me.tags))}return Ke}function fe(bt,Be){let Ke=[];Ke.size=bt.size,bt.start!==void 0&&(Ke.start=bt.start,Ke.end=bt.end);for(let Ue=0;Ue<bt.length;Ue+=3)Ke.push(bt[Ue]+Be,bt[Ue+1],bt[Ue+2]);return Ke}function Fe(bt,Be){if(bt.transformed)return bt;let Ke=1<<bt.z,Ue=bt.x,Me=bt.y;for(let qe of bt.features){let Ce=qe.geometry,Te=qe.type;if(qe.geometry=[],Te===1)for(let Pe=0;Pe<Ce.length;Pe+=2)qe.geometry.push(rt(Ce[Pe],Ce[Pe+1],Be,Ke,Ue,Me));else for(let Pe=0;Pe<Ce.length;Pe++){let at=[];for(let yt=0;yt<Ce[Pe].length;yt+=2)at.push(rt(Ce[Pe][yt],Ce[Pe][yt+1],Be,Ke,Ue,Me));qe.geometry.push(at)}}return bt.transformed=!0,bt}function rt(bt,Be,Ke,Ue,Me,qe){return[Math.round(Ke*(bt*Ue-Me)),Math.round(Ke*(Be*Ue-qe))]}function st(bt,Be,Ke,Ue,Me){let qe=Be===Me.maxZoom?0:Me.tolerance/((1<<Be)*Me.extent),Ce={features:[],numPoints:0,numSimplified:0,numFeatures:bt.length,source:null,x:Ke,y:Ue,z:Be,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(let Te of bt)Qe(Ce,Te,qe,Me);return Ce}function Qe(bt,Be,Ke,Ue){let Me=Be.geometry,qe=Be.type,Ce=[];if(bt.minX=Math.min(bt.minX,Be.minX),bt.minY=Math.min(bt.minY,Be.minY),bt.maxX=Math.max(bt.maxX,Be.maxX),bt.maxY=Math.max(bt.maxY,Be.maxY),qe===\"Point\"||qe===\"MultiPoint\")for(let Te=0;Te<Me.length;Te+=3)Ce.push(Me[Te],Me[Te+1]),bt.numPoints++,bt.numSimplified++;else if(qe===\"LineString\")Lt(Ce,Me,bt,Ke,!1,!1);else if(qe===\"MultiLineString\"||qe===\"Polygon\")for(let Te=0;Te<Me.length;Te++)Lt(Ce,Me[Te],bt,Ke,qe===\"Polygon\",Te===0);else if(qe===\"MultiPolygon\")for(let Te=0;Te<Me.length;Te++){let Pe=Me[Te];for(let at=0;at<Pe.length;at++)Lt(Ce,Pe[at],bt,Ke,!0,at===0)}if(Ce.length){let Te=Be.tags||null;if(qe===\"LineString\"&&Ue.lineMetrics){Te={};for(let at in Be.tags)Te[at]=Be.tags[at];Te.mapbox_clip_start=Me.start/Me.size,Te.mapbox_clip_end=Me.end/Me.size}let Pe={geometry:Ce,type:qe===\"Polygon\"||qe===\"MultiPolygon\"?3:qe===\"LineString\"||qe===\"MultiLineString\"?2:1,tags:Te};Be.id!==null&&(Pe.id=Be.id),bt.features.push(Pe)}}function Lt(bt,Be,Ke,Ue,Me,qe){let Ce=Ue*Ue;if(Ue>0&&Be.size<(Me?Ce:Ue))return void(Ke.numPoints+=Be.length/3);let Te=[];for(let Pe=0;Pe<Be.length;Pe+=3)(Ue===0||Be[Pe+2]>Ce)&&(Ke.numSimplified++,Te.push(Be[Pe],Be[Pe+1])),Ke.numPoints++;Me&&function(Pe,at){let yt=0;for(let Tt=0,Ot=Pe.length,Gt=Ot-2;Tt<Ot;Gt=Tt,Tt+=2)yt+=(Pe[Tt]-Pe[Gt])*(Pe[Tt+1]+Pe[Gt+1]);if(yt>0===at)for(let Tt=0,Ot=Pe.length;Tt<Ot/2;Tt+=2){let Gt=Pe[Tt],rr=Pe[Tt+1];Pe[Tt]=Pe[Ot-2-Tt],Pe[Tt+1]=Pe[Ot-1-Tt],Pe[Ot-2-Tt]=Gt,Pe[Ot-1-Tt]=rr}}(Te,qe),bt.push(Te)}let kt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class Vt{constructor(Be,Ke){let Ue=(Ke=this.options=function(qe,Ce){for(let Te in Ce)qe[Te]=Ce[Te];return qe}(Object.create(kt),Ke)).debug;if(Ue&&console.time(\"preprocess data\"),Ke.maxZoom<0||Ke.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(Ke.promoteId&&Ke.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let Me=function(qe,Ce){let Te=[];if(qe.type===\"FeatureCollection\")for(let Pe=0;Pe<qe.features.length;Pe++)j(Te,qe.features[Pe],Ce,Pe);else j(Te,qe.type===\"Feature\"?qe:{geometry:qe},Ce);return Te}(Be,Ke);this.tiles={},this.tileCoords=[],Ue&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",Ke.indexMaxZoom,Ke.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),Me=function(qe,Ce){let Te=Ce.buffer/Ce.extent,Pe=qe,at=ze(qe,1,-1-Te,Te,0,-1,2,Ce),yt=ze(qe,1,1-Te,2+Te,0,-1,2,Ce);return(at||yt)&&(Pe=ze(qe,1,-Te,1+Te,0,-1,2,Ce)||[],at&&(Pe=_e(at,1).concat(Pe)),yt&&(Pe=Pe.concat(_e(yt,-1)))),Pe}(Me,Ke),Me.length&&this.splitTile(Me,0,0,0),Ue&&(Me.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}splitTile(Be,Ke,Ue,Me,qe,Ce,Te){let Pe=[Be,Ke,Ue,Me],at=this.options,yt=at.debug;for(;Pe.length;){Me=Pe.pop(),Ue=Pe.pop(),Ke=Pe.pop(),Be=Pe.pop();let Tt=1<<Ke,Ot=Zt(Ke,Ue,Me),Gt=this.tiles[Ot];if(!Gt&&(yt>1&&console.time(\"creation\"),Gt=this.tiles[Ot]=st(Be,Ke,Ue,Me,at),this.tileCoords.push({z:Ke,x:Ue,y:Me}),yt)){yt>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",Ke,Ue,Me,Gt.numFeatures,Gt.numPoints,Gt.numSimplified),console.timeEnd(\"creation\"));let Ci=`z${Ke}`;this.stats[Ci]=(this.stats[Ci]||0)+1,this.total++}if(Gt.source=Be,qe==null){if(Ke===at.indexMaxZoom||Gt.numPoints<=at.indexMaxPoints)continue}else{if(Ke===at.maxZoom||Ke===qe)continue;if(qe!=null){let Ci=qe-Ke;if(Ue!==Ce>>Ci||Me!==Te>>Ci)continue}}if(Gt.source=null,Be.length===0)continue;yt>1&&console.time(\"clipping\");let rr=.5*at.buffer/at.extent,Qt=.5-rr,Tr=.5+rr,la=1+rr,Ua=null,Ba=null,Ra=null,ei=null,za=ze(Be,Tt,Ue-rr,Ue+Tr,0,Gt.minX,Gt.maxX,at),ti=ze(Be,Tt,Ue+Qt,Ue+la,0,Gt.minX,Gt.maxX,at);Be=null,za&&(Ua=ze(za,Tt,Me-rr,Me+Tr,1,Gt.minY,Gt.maxY,at),Ba=ze(za,Tt,Me+Qt,Me+la,1,Gt.minY,Gt.maxY,at),za=null),ti&&(Ra=ze(ti,Tt,Me-rr,Me+Tr,1,Gt.minY,Gt.maxY,at),ei=ze(ti,Tt,Me+Qt,Me+la,1,Gt.minY,Gt.maxY,at),ti=null),yt>1&&console.timeEnd(\"clipping\"),Pe.push(Ua||[],Ke+1,2*Ue,2*Me),Pe.push(Ba||[],Ke+1,2*Ue,2*Me+1),Pe.push(Ra||[],Ke+1,2*Ue+1,2*Me),Pe.push(ei||[],Ke+1,2*Ue+1,2*Me+1)}}getTile(Be,Ke,Ue){Be=+Be,Ke=+Ke,Ue=+Ue;let Me=this.options,{extent:qe,debug:Ce}=Me;if(Be<0||Be>24)return null;let Te=1<<Be,Pe=Zt(Be,Ke=Ke+Te&Te-1,Ue);if(this.tiles[Pe])return Fe(this.tiles[Pe],qe);Ce>1&&console.log(\"drilling down to z%d-%d-%d\",Be,Ke,Ue);let at,yt=Be,Tt=Ke,Ot=Ue;for(;!at&&yt>0;)yt--,Tt>>=1,Ot>>=1,at=this.tiles[Zt(yt,Tt,Ot)];return at&&at.source?(Ce>1&&(console.log(\"found parent tile z%d-%d-%d\",yt,Tt,Ot),console.time(\"drilling down\")),this.splitTile(at.source,yt,Tt,Ot,Be,Ke,Ue),Ce>1&&console.timeEnd(\"drilling down\"),this.tiles[Pe]?Fe(this.tiles[Pe],qe):null):null}}function Zt(bt,Be,Ke){return 32*((1<<bt)*Ke+Be)+bt}function Sr(bt,Be){return Be?bt.properties[Be]:bt.id}function xr(bt,Be){if(bt==null)return!0;if(bt.type===\"Feature\")return Sr(bt,Be)!=null;if(bt.type===\"FeatureCollection\"){let Ke=new Set;for(let Ue of bt.features){let Me=Sr(Ue,Be);if(Me==null||Ke.has(Me))return!1;Ke.add(Me)}return!0}return!1}function jr(bt,Be){let Ke=new Map;if(bt!=null)if(bt.type===\"Feature\")Ke.set(Sr(bt,Be),bt);else for(let Ue of bt.features)Ke.set(Sr(Ue,Be),Ue);return Ke}class wr extends i{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(Be,Ke){return e._(this,void 0,void 0,function*(){let Ue=Be.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");let Me=this._geoJSONIndex.getTile(Ue.z,Ue.x,Ue.y);if(!Me)return null;let qe=new class{constructor(Te){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=e.X,this.length=Te.length,this._features=Te}feature(Te){return new class{constructor(Pe){this._feature=Pe,this.extent=e.X,this.type=Pe.type,this.properties=Pe.tags,\"id\"in Pe&&!isNaN(Pe.id)&&(this.id=parseInt(Pe.id,10))}loadGeometry(){if(this._feature.type===1){let Pe=[];for(let at of this._feature.geometry)Pe.push([new e.P(at[0],at[1])]);return Pe}{let Pe=[];for(let at of this._feature.geometry){let yt=[];for(let Tt of at)yt.push(new e.P(Tt[0],Tt[1]));Pe.push(yt)}return Pe}}toGeoJSON(Pe,at,yt){return g.call(this,Pe,at,yt)}}(this._features[Te])}}(Me.features),Ce=F(qe);return Ce.byteOffset===0&&Ce.byteLength===Ce.buffer.byteLength||(Ce=new Uint8Array(Ce)),{vectorTile:qe,rawData:Ce.buffer}})}loadData(Be){return e._(this,void 0,void 0,function*(){var Ke;(Ke=this._pendingRequest)===null||Ke===void 0||Ke.abort();let Ue=!!(Be&&Be.request&&Be.request.collectResourceTiming)&&new e.bv(Be.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(Be,this._pendingRequest),this._geoJSONIndex=Be.cluster?new Q(function({superclusterOptions:Ce,clusterProperties:Te}){if(!Te||!Ce)return Ce;let Pe={},at={},yt={accumulated:null,zoom:0},Tt={properties:null},Ot=Object.keys(Te);for(let Gt of Ot){let[rr,Qt]=Te[Gt],Tr=e.bC(Qt),la=e.bC(typeof rr==\"string\"?[rr,[\"accumulated\"],[\"get\",Gt]]:rr);Pe[Gt]=Tr.value,at[Gt]=la.value}return Ce.map=Gt=>{Tt.properties=Gt;let rr={};for(let Qt of Ot)rr[Qt]=Pe[Qt].evaluate(yt,Tt);return rr},Ce.reduce=(Gt,rr)=>{Tt.properties=rr;for(let Qt of Ot)yt.accumulated=Gt[Qt],Gt[Qt]=at[Qt].evaluate(yt,Tt)},Ce}(Be)).load((yield this._pendingData).features):(Me=yield this._pendingData,new Vt(Me,Be.geojsonVtOptions)),this.loaded={};let qe={};if(Ue){let Ce=Ue.finish();Ce&&(qe.resourceTiming={},qe.resourceTiming[Be.source]=JSON.parse(JSON.stringify(Ce)))}return qe}catch(qe){if(delete this._pendingRequest,e.bB(qe))return{abandoned:!0};throw qe}var Me})}getData(){return e._(this,void 0,void 0,function*(){return this._pendingData})}reloadTile(Be){let Ke=this.loaded;return Ke&&Ke[Be.uid]?super.reloadTile(Be):this.loadTile(Be)}loadAndProcessGeoJSON(Be,Ke){return e._(this,void 0,void 0,function*(){let Ue=yield this.loadGeoJSON(Be,Ke);if(delete this._pendingRequest,typeof Ue!=\"object\")throw new Error(`Input data given to '${Be.source}' is not a valid GeoJSON object.`);if(f(Ue,!0),Be.filter){let Me=e.bC(Be.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(Me.result===\"error\")throw new Error(Me.value.map(Ce=>`${Ce.key}: ${Ce.message}`).join(\", \"));Ue={type:\"FeatureCollection\",features:Ue.features.filter(Ce=>Me.value.evaluate({zoom:0},Ce))}}return Ue})}loadGeoJSON(Be,Ke){return e._(this,void 0,void 0,function*(){let{promoteId:Ue}=Be;if(Be.request){let Me=yield e.h(Be.request,Ke);return this._dataUpdateable=xr(Me.data,Ue)?jr(Me.data,Ue):void 0,Me.data}if(typeof Be.data==\"string\")try{let Me=JSON.parse(Be.data);return this._dataUpdateable=xr(Me,Ue)?jr(Me,Ue):void 0,Me}catch{throw new Error(`Input data given to '${Be.source}' is not a valid GeoJSON object.`)}if(!Be.dataDiff)throw new Error(`Input data given to '${Be.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${Be.source}`);return function(Me,qe,Ce){var Te,Pe,at,yt;if(qe.removeAll&&Me.clear(),qe.remove)for(let Tt of qe.remove)Me.delete(Tt);if(qe.add)for(let Tt of qe.add){let Ot=Sr(Tt,Ce);Ot!=null&&Me.set(Ot,Tt)}if(qe.update)for(let Tt of qe.update){let Ot=Me.get(Tt.id);if(Ot==null)continue;let Gt=!Tt.removeAllProperties&&(((Te=Tt.removeProperties)===null||Te===void 0?void 0:Te.length)>0||((Pe=Tt.addOrUpdateProperties)===null||Pe===void 0?void 0:Pe.length)>0);if((Tt.newGeometry||Tt.removeAllProperties||Gt)&&(Ot=Object.assign({},Ot),Me.set(Tt.id,Ot),Gt&&(Ot.properties=Object.assign({},Ot.properties))),Tt.newGeometry&&(Ot.geometry=Tt.newGeometry),Tt.removeAllProperties)Ot.properties={};else if(((at=Tt.removeProperties)===null||at===void 0?void 0:at.length)>0)for(let rr of Tt.removeProperties)Object.prototype.hasOwnProperty.call(Ot.properties,rr)&&delete Ot.properties[rr];if(((yt=Tt.addOrUpdateProperties)===null||yt===void 0?void 0:yt.length)>0)for(let{key:rr,value:Qt}of Tt.addOrUpdateProperties)Ot.properties[rr]=Qt}}(this._dataUpdateable,Be.dataDiff,Ue),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}})}removeSource(Be){return e._(this,void 0,void 0,function*(){this._pendingRequest&&this._pendingRequest.abort()})}getClusterExpansionZoom(Be){return this._geoJSONIndex.getClusterExpansionZoom(Be.clusterId)}getClusterChildren(Be){return this._geoJSONIndex.getChildren(Be.clusterId)}getClusterLeaves(Be){return this._geoJSONIndex.getLeaves(Be.clusterId,Be.limit,Be.offset)}}class Ir{constructor(Be){this.self=Be,this.actor=new e.F(Be),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(Ke,Ue)=>{if(this.externalWorkerSourceTypes[Ke])throw new Error(`Worker source with name \"${Ke}\" already registered.`);this.externalWorkerSourceTypes[Ke]=Ue},this.self.addProtocol=e.bi,this.self.removeProtocol=e.bj,this.self.registerRTLTextPlugin=Ke=>{if(e.bD.isParsed())throw new Error(\"RTL text plugin already registered.\");e.bD.setMethods(Ke)},this.actor.registerMessageHandler(\"LDT\",(Ke,Ue)=>this._getDEMWorkerSource(Ke,Ue.source).loadTile(Ue)),this.actor.registerMessageHandler(\"RDT\",(Ke,Ue)=>e._(this,void 0,void 0,function*(){this._getDEMWorkerSource(Ke,Ue.source).removeTile(Ue)})),this.actor.registerMessageHandler(\"GCEZ\",(Ke,Ue)=>e._(this,void 0,void 0,function*(){return this._getWorkerSource(Ke,Ue.type,Ue.source).getClusterExpansionZoom(Ue)})),this.actor.registerMessageHandler(\"GCC\",(Ke,Ue)=>e._(this,void 0,void 0,function*(){return this._getWorkerSource(Ke,Ue.type,Ue.source).getClusterChildren(Ue)})),this.actor.registerMessageHandler(\"GCL\",(Ke,Ue)=>e._(this,void 0,void 0,function*(){return this._getWorkerSource(Ke,Ue.type,Ue.source).getClusterLeaves(Ue)})),this.actor.registerMessageHandler(\"LD\",(Ke,Ue)=>this._getWorkerSource(Ke,Ue.type,Ue.source).loadData(Ue)),this.actor.registerMessageHandler(\"GD\",(Ke,Ue)=>this._getWorkerSource(Ke,Ue.type,Ue.source).getData()),this.actor.registerMessageHandler(\"LT\",(Ke,Ue)=>this._getWorkerSource(Ke,Ue.type,Ue.source).loadTile(Ue)),this.actor.registerMessageHandler(\"RT\",(Ke,Ue)=>this._getWorkerSource(Ke,Ue.type,Ue.source).reloadTile(Ue)),this.actor.registerMessageHandler(\"AT\",(Ke,Ue)=>this._getWorkerSource(Ke,Ue.type,Ue.source).abortTile(Ue)),this.actor.registerMessageHandler(\"RMT\",(Ke,Ue)=>this._getWorkerSource(Ke,Ue.type,Ue.source).removeTile(Ue)),this.actor.registerMessageHandler(\"RS\",(Ke,Ue)=>e._(this,void 0,void 0,function*(){if(!this.workerSources[Ke]||!this.workerSources[Ke][Ue.type]||!this.workerSources[Ke][Ue.type][Ue.source])return;let Me=this.workerSources[Ke][Ue.type][Ue.source];delete this.workerSources[Ke][Ue.type][Ue.source],Me.removeSource!==void 0&&Me.removeSource(Ue)})),this.actor.registerMessageHandler(\"RM\",Ke=>e._(this,void 0,void 0,function*(){delete this.layerIndexes[Ke],delete this.availableImages[Ke],delete this.workerSources[Ke],delete this.demWorkerSources[Ke]})),this.actor.registerMessageHandler(\"SR\",(Ke,Ue)=>e._(this,void 0,void 0,function*(){this.referrer=Ue})),this.actor.registerMessageHandler(\"SRPS\",(Ke,Ue)=>this._syncRTLPluginState(Ke,Ue)),this.actor.registerMessageHandler(\"IS\",(Ke,Ue)=>e._(this,void 0,void 0,function*(){this.self.importScripts(Ue)})),this.actor.registerMessageHandler(\"SI\",(Ke,Ue)=>this._setImages(Ke,Ue)),this.actor.registerMessageHandler(\"UL\",(Ke,Ue)=>e._(this,void 0,void 0,function*(){this._getLayerIndex(Ke).update(Ue.layers,Ue.removedIds)})),this.actor.registerMessageHandler(\"SL\",(Ke,Ue)=>e._(this,void 0,void 0,function*(){this._getLayerIndex(Ke).replace(Ue)}))}_setImages(Be,Ke){return e._(this,void 0,void 0,function*(){this.availableImages[Be]=Ke;for(let Ue in this.workerSources[Be]){let Me=this.workerSources[Be][Ue];for(let qe in Me)Me[qe].availableImages=Ke}})}_syncRTLPluginState(Be,Ke){return e._(this,void 0,void 0,function*(){if(e.bD.isParsed())return e.bD.getState();if(Ke.pluginStatus!==\"loading\")return e.bD.setState(Ke),Ke;let Ue=Ke.pluginURL;if(this.self.importScripts(Ue),e.bD.isParsed()){let Me={pluginStatus:\"loaded\",pluginURL:Ue};return e.bD.setState(Me),Me}throw e.bD.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${Ue}`)})}_getAvailableImages(Be){let Ke=this.availableImages[Be];return Ke||(Ke=[]),Ke}_getLayerIndex(Be){let Ke=this.layerIndexes[Be];return Ke||(Ke=this.layerIndexes[Be]=new t),Ke}_getWorkerSource(Be,Ke,Ue){if(this.workerSources[Be]||(this.workerSources[Be]={}),this.workerSources[Be][Ke]||(this.workerSources[Be][Ke]={}),!this.workerSources[Be][Ke][Ue]){let Me={sendAsync:(qe,Ce)=>(qe.targetMapId=Be,this.actor.sendAsync(qe,Ce))};switch(Ke){case\"vector\":this.workerSources[Be][Ke][Ue]=new i(Me,this._getLayerIndex(Be),this._getAvailableImages(Be));break;case\"geojson\":this.workerSources[Be][Ke][Ue]=new wr(Me,this._getLayerIndex(Be),this._getAvailableImages(Be));break;default:this.workerSources[Be][Ke][Ue]=new this.externalWorkerSourceTypes[Ke](Me,this._getLayerIndex(Be),this._getAvailableImages(Be))}}return this.workerSources[Be][Ke][Ue]}_getDEMWorkerSource(Be,Ke){return this.demWorkerSources[Be]||(this.demWorkerSources[Be]={}),this.demWorkerSources[Be][Ke]||(this.demWorkerSources[Be][Ke]=new n),this.demWorkerSources[Be][Ke]}}return e.i(self)&&(self.worker=new Ir(self)),Ir}),A(\"index\",[\"exports\",\"./shared\"],function(e,t){\"use strict\";var r=\"4.7.1\";let o,a,i={now:typeof performance<\"u\"&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync:Ne=>new Promise((R,ae)=>{let 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ae=this.images[R];delete this.images[R],delete this.patterns[R],ae.userImage&&ae.userImage.onRemove&&ae.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(R){return new Promise((ae,we)=>{let Se=!0;if(!this.isLoaded())for(let Oe of R)this.images[Oe]||(Se=!1);this.isLoaded()||Se?ae(this._getImagesForIds(R)):this.requestors.push({ids:R,promiseResolve:ae})})}_getImagesForIds(R){let ae={};for(let we of R){let Se=this.getImage(we);Se||(this.fire(new t.k(\"styleimagemissing\",{id:we})),Se=this.getImage(we)),Se?ae[we]={data:Se.data.clone(),pixelRatio:Se.pixelRatio,sdf:Se.sdf,version:Se.version,stretchX:Se.stretchX,stretchY:Se.stretchY,content:Se.content,textFitWidth:Se.textFitWidth,textFitHeight:Se.textFitHeight,hasRenderCallback:!!(Se.userImage&&Se.userImage.render)}:t.w(`Image \"${we}\" could not be loaded. 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F.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:Se,fontWeight:At})}let pt=Oe.draw(String.fromCharCode(we));return{id:we,bitmap:new t.o({width:pt.width||60,height:pt.height||60},pt.data),metrics:{width:pt.glyphWidth/2||24,height:pt.glyphHeight/2||24,left:pt.glyphLeft/2+.5||0,top:pt.glyphTop/2-27.5||-8,advance:pt.glyphAdvance/2||24,isDoubleResolution:!0}}}}F.loadGlyphRange=function(Ne,R,ae,we){return t._(this,void 0,void 0,function*(){let Se=256*R,Oe=Se+255,pt=we.transformRequest(ae.replace(\"{fontstack}\",Ne).replace(\"{range}\",`${Se}-${Oe}`),\"Glyphs\"),At=yield t.l(pt,new AbortController);if(!At||!At.data)throw new Error(`Could not load glyph range. range: ${R}, ${Se}-${Oe}`);let Bt={};for(let $t of t.n(At.data))Bt[$t.id]=$t;return Bt})},F.TinySDF=class{constructor({fontSize:Ne=24,buffer:R=3,radius:ae=8,cutoff:we=.25,fontFamily:Se=\"sans-serif\",fontWeight:Oe=\"normal\",fontStyle:pt=\"normal\"}={}){this.buffer=R,this.cutoff=we,this.radius=ae;let At=this.size=Ne+4*R,Bt=this._createCanvas(At),$t=this.ctx=Bt.getContext(\"2d\",{willReadFrequently:!0});$t.font=`${pt} ${Oe} ${Ne}px ${Se}`,$t.textBaseline=\"alphabetic\",$t.textAlign=\"left\",$t.fillStyle=\"black\",this.gridOuter=new Float64Array(At*At),this.gridInner=new Float64Array(At*At),this.f=new Float64Array(At),this.z=new Float64Array(At+1),this.v=new Uint16Array(At)}_createCanvas(Ne){let R=document.createElement(\"canvas\");return R.width=R.height=Ne,R}draw(Ne){let{width:R,actualBoundingBoxAscent:ae,actualBoundingBoxDescent:we,actualBoundingBoxLeft:Se,actualBoundingBoxRight:Oe}=this.ctx.measureText(Ne),pt=Math.ceil(ae),At=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(Oe-Se))),Bt=Math.min(this.size-this.buffer,pt+Math.ceil(we)),$t=At+2*this.buffer,br=Bt+2*this.buffer,Ar=Math.max($t*br,0),Yr=new Uint8ClampedArray(Ar),sa={data:Yr,width:$t,height:br,glyphWidth:At,glyphHeight:Bt,glyphTop:pt,glyphLeft:0,glyphAdvance:R};if(At===0||Bt===0)return sa;let{ctx:He,buffer:Je,gridInner:ut,gridOuter:dt}=this;He.clearRect(Je,Je,At,Bt),He.fillText(Ne,Je,Je+pt);let Ct=He.getImageData(Je,Je,At,Bt);dt.fill(P,0,Ar),ut.fill(0,0,Ar);for(let wt=0;wt<Bt;wt++)for(let Dt=0;Dt<At;Dt++){let ur=Ct.data[4*(wt*At+Dt)+3]/255;if(ur===0)continue;let mr=(wt+Je)*$t+Dt+Je;if(ur===1)dt[mr]=0,ut[mr]=P;else{let Er=.5-ur;dt[mr]=Er>0?Er*Er:0,ut[mr]=Er<0?Er*Er:0}}L(dt,0,0,$t,br,$t,this.f,this.v,this.z),L(ut,Je,Je,At,Bt,$t,this.f,this.v,this.z);for(let wt=0;wt<Ar;wt++){let Dt=Math.sqrt(dt[wt])-Math.sqrt(ut[wt]);Yr[wt]=Math.round(255-255*(Dt/this.radius+this.cutoff))}return sa}};class B{constructor(){this.specification=t.v.light.position}possiblyEvaluate(R,ae){return t.x(R.expression.evaluate(ae))}interpolate(R,ae,we){return{x:t.y.number(R.x,ae.x,we),y:t.y.number(R.y,ae.y,we),z:t.y.number(R.z,ae.z,we)}}}let O;class I extends t.E{constructor(R){super(),O=O||new t.q({anchor:new t.D(t.v.light.anchor),position:new B,color:new t.D(t.v.light.color),intensity:new t.D(t.v.light.intensity)}),this._transitionable=new t.T(O),this.setLight(R),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(R,ae={}){if(!this._validate(t.r,R,ae))for(let we in R){let Se=R[we];we.endsWith(\"-transition\")?this._transitionable.setTransition(we.slice(0,-11),Se):this._transitionable.setValue(we,Se)}}updateTransitions(R){this._transitioning=this._transitionable.transitioned(R,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(R){this.properties=this._transitioning.possiblyEvaluate(R)}_validate(R,ae,we){return(!we||we.validate!==!1)&&t.t(this,R.call(t.u,{value:ae,style:{glyphs:!0,sprite:!0},styleSpec:t.v}))}}let N=new t.q({\"sky-color\":new t.D(t.v.sky[\"sky-color\"]),\"horizon-color\":new t.D(t.v.sky[\"horizon-color\"]),\"fog-color\":new t.D(t.v.sky[\"fog-color\"]),\"fog-ground-blend\":new t.D(t.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new t.D(t.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new t.D(t.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new t.D(t.v.sky[\"atmosphere-blend\"])});class U extends t.E{constructor(R){super(),this._transitionable=new t.T(N),this.setSky(R),this._transitioning=this._transitionable.untransitioned(),this.recalculate(new t.z(0))}setSky(R,ae={}){if(!this._validate(t.B,R,ae)){R||(R={\"sky-color\":\"transparent\",\"horizon-color\":\"transparent\",\"fog-color\":\"transparent\",\"fog-ground-blend\":1,\"atmosphere-blend\":0});for(let we in R){let Se=R[we];we.endsWith(\"-transition\")?this._transitionable.setTransition(we.slice(0,-11),Se):this._transitionable.setValue(we,Se)}}}getSky(){return this._transitionable.serialize()}updateTransitions(R){this._transitioning=this._transitionable.transitioned(R,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(R){this.properties=this._transitioning.possiblyEvaluate(R)}_validate(R,ae,we={}){return we?.validate!==!1&&t.t(this,R.call(t.u,t.e({value:ae,style:{glyphs:!0,sprite:!0},styleSpec:t.v})))}calculateFogBlendOpacity(R){return R<60?0:R<70?(R-60)/10:1}}class W{constructor(R,ae){this.width=R,this.height=ae,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(R,ae){let we=R.join(\",\")+String(ae);return this.dashEntry[we]||(this.dashEntry[we]=this.addDash(R,ae)),this.dashEntry[we]}getDashRanges(R,ae,we){let Se=[],Oe=R.length%2==1?-R[R.length-1]*we:0,pt=R[0]*we,At=!0;Se.push({left:Oe,right:pt,isDash:At,zeroLength:R[0]===0});let Bt=R[0];for(let $t=1;$t<R.length;$t++){At=!At;let br=R[$t];Oe=Bt*we,Bt+=br,pt=Bt*we,Se.push({left:Oe,right:pt,isDash:At,zeroLength:br===0})}return Se}addRoundDash(R,ae,we){let Se=ae/2;for(let Oe=-we;Oe<=we;Oe++){let pt=this.width*(this.nextRow+we+Oe),At=0,Bt=R[At];for(let $t=0;$t<this.width;$t++){$t/Bt.right>1&&(Bt=R[++At]);let br=Math.abs($t-Bt.left),Ar=Math.abs($t-Bt.right),Yr=Math.min(br,Ar),sa,He=Oe/we*(Se+1);if(Bt.isDash){let Je=Se-Math.abs(He);sa=Math.sqrt(Yr*Yr+Je*Je)}else sa=Se-Math.sqrt(Yr*Yr+He*He);this.data[pt+$t]=Math.max(0,Math.min(255,sa+128))}}}addRegularDash(R){for(let At=R.length-1;At>=0;--At){let Bt=R[At],$t=R[At+1];Bt.zeroLength?R.splice(At,1):$t&&$t.isDash===Bt.isDash&&($t.left=Bt.left,R.splice(At,1))}let ae=R[0],we=R[R.length-1];ae.isDash===we.isDash&&(ae.left=we.left-this.width,we.right=ae.right+this.width);let Se=this.width*this.nextRow,Oe=0,pt=R[Oe];for(let At=0;At<this.width;At++){At/pt.right>1&&(pt=R[++Oe]);let Bt=Math.abs(At-pt.left),$t=Math.abs(At-pt.right),br=Math.min(Bt,$t);this.data[Se+At]=Math.max(0,Math.min(255,(pt.isDash?br:-br)+128))}}addDash(R,ae){let we=ae?7:0,Se=2*we+1;if(this.nextRow+Se>this.height)return t.w(\"LineAtlas out of space\"),null;let Oe=0;for(let At=0;At<R.length;At++)Oe+=R[At];if(Oe!==0){let At=this.width/Oe,Bt=this.getDashRanges(R,this.width,At);ae?this.addRoundDash(Bt,At,we):this.addRegularDash(Bt)}let pt={y:(this.nextRow+we+.5)/this.height,height:2*we/this.height,width:Oe};return this.nextRow+=Se,this.dirty=!0,pt}bind(R){let ae=R.gl;this.texture?(ae.bindTexture(ae.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,ae.texSubImage2D(ae.TEXTURE_2D,0,0,0,this.width,this.height,ae.ALPHA,ae.UNSIGNED_BYTE,this.data))):(this.texture=ae.createTexture(),ae.bindTexture(ae.TEXTURE_2D,this.texture),ae.texParameteri(ae.TEXTURE_2D,ae.TEXTURE_WRAP_S,ae.REPEAT),ae.texParameteri(ae.TEXTURE_2D,ae.TEXTURE_WRAP_T,ae.REPEAT),ae.texParameteri(ae.TEXTURE_2D,ae.TEXTURE_MIN_FILTER,ae.LINEAR),ae.texParameteri(ae.TEXTURE_2D,ae.TEXTURE_MAG_FILTER,ae.LINEAR),ae.texImage2D(ae.TEXTURE_2D,0,ae.ALPHA,this.width,this.height,0,ae.ALPHA,ae.UNSIGNED_BYTE,this.data))}}let Q=\"maplibre_preloaded_worker_pool\";class ue{constructor(){this.active={}}acquire(R){if(!this.workers)for(this.workers=[];this.workers.length<ue.workerCount;)this.workers.push(new Worker(t.a.WORKER_URL));return this.active[R]=!0,this.workers.slice()}release(R){delete this.active[R],this.numActive()===0&&(this.workers.forEach(ae=>{ae.terminate()}),this.workers=null)}isPreloaded(){return!!this.active[Q]}numActive(){return Object.keys(this.active).length}}let le=Math.floor(i.hardwareConcurrency/2),he,G;function $(){return he||(he=new ue),he}ue.workerCount=t.C(globalThis)?Math.max(Math.min(le,3),1):1;class J{constructor(R,ae){this.workerPool=R,this.actors=[],this.currentActor=0,this.id=ae;let we=this.workerPool.acquire(ae);for(let Se=0;Se<we.length;Se++){let Oe=new t.F(we[Se],ae);Oe.name=`Worker ${Se}`,this.actors.push(Oe)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(R,ae){let we=[];for(let Se of this.actors)we.push(Se.sendAsync({type:R,data:ae}));return Promise.all(we)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(R=!0){this.actors.forEach(ae=>{ae.remove()}),this.actors=[],R&&this.workerPool.release(this.id)}registerMessageHandler(R,ae){for(let we of this.actors)we.registerMessageHandler(R,ae)}}function X(){return G||(G=new J($(),t.G),G.registerMessageHandler(\"GR\",(Ne,R,ae)=>t.m(R,ae))),G}function oe(Ne,R){let ae=t.H();return t.J(ae,ae,[1,1,0]),t.K(ae,ae,[.5*Ne.width,.5*Ne.height,1]),t.L(ae,ae,Ne.calculatePosMatrix(R.toUnwrapped()))}function ie(Ne,R,ae,we,Se,Oe){let pt=function(Ar,Yr,sa){if(Ar)for(let He of Ar){let Je=Yr[He];if(Je&&Je.source===sa&&Je.type===\"fill-extrusion\")return!0}else for(let He in Yr){let Je=Yr[He];if(Je.source===sa&&Je.type===\"fill-extrusion\")return!0}return!1}(Se&&Se.layers,R,Ne.id),At=Oe.maxPitchScaleFactor(),Bt=Ne.tilesIn(we,At,pt);Bt.sort(j);let $t=[];for(let Ar of Bt)$t.push({wrappedTileID:Ar.tileID.wrapped().key,queryResults:Ar.tile.queryRenderedFeatures(R,ae,Ne._state,Ar.queryGeometry,Ar.cameraQueryGeometry,Ar.scale,Se,Oe,At,oe(Ne.transform,Ar.tileID))});let br=function(Ar){let Yr={},sa={};for(let He of Ar){let Je=He.queryResults,ut=He.wrappedTileID,dt=sa[ut]=sa[ut]||{};for(let Ct in Je){let wt=Je[Ct],Dt=dt[Ct]=dt[Ct]||{},ur=Yr[Ct]=Yr[Ct]||[];for(let mr of wt)Dt[mr.featureIndex]||(Dt[mr.featureIndex]=!0,ur.push(mr))}}return Yr}($t);for(let Ar in br)br[Ar].forEach(Yr=>{let sa=Yr.feature,He=Ne.getFeatureState(sa.layer[\"source-layer\"],sa.id);sa.source=sa.layer.source,sa.layer[\"source-layer\"]&&(sa.sourceLayer=sa.layer[\"source-layer\"]),sa.state=He});return br}function j(Ne,R){let ae=Ne.tileID,we=R.tileID;return ae.overscaledZ-we.overscaledZ||ae.canonical.y-we.canonical.y||ae.wrap-we.wrap||ae.canonical.x-we.canonical.x}function ee(Ne,R,ae){return t._(this,void 0,void 0,function*(){let we=Ne;if(Ne.url?we=(yield t.h(R.transformRequest(Ne.url,\"Source\"),ae)).data:yield i.frameAsync(ae),!we)return null;let Se=t.M(t.e(we,Ne),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in we&&we.vector_layers&&(Se.vectorLayerIds=we.vector_layers.map(Oe=>Oe.id)),Se})}class re{constructor(R,ae){R&&(ae?this.setSouthWest(R).setNorthEast(ae):Array.isArray(R)&&(R.length===4?this.setSouthWest([R[0],R[1]]).setNorthEast([R[2],R[3]]):this.setSouthWest(R[0]).setNorthEast(R[1])))}setNorthEast(R){return this._ne=R instanceof t.N?new t.N(R.lng,R.lat):t.N.convert(R),this}setSouthWest(R){return this._sw=R instanceof t.N?new t.N(R.lng,R.lat):t.N.convert(R),this}extend(R){let ae=this._sw,we=this._ne,Se,Oe;if(R instanceof t.N)Se=R,Oe=R;else{if(!(R instanceof re))return Array.isArray(R)?R.length===4||R.every(Array.isArray)?this.extend(re.convert(R)):this.extend(t.N.convert(R)):R&&(\"lng\"in R||\"lon\"in R)&&\"lat\"in R?this.extend(t.N.convert(R)):this;if(Se=R._sw,Oe=R._ne,!Se||!Oe)return this}return ae||we?(ae.lng=Math.min(Se.lng,ae.lng),ae.lat=Math.min(Se.lat,ae.lat),we.lng=Math.max(Oe.lng,we.lng),we.lat=Math.max(Oe.lat,we.lat)):(this._sw=new t.N(Se.lng,Se.lat),this._ne=new t.N(Oe.lng,Oe.lat)),this}getCenter(){return new t.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new t.N(this.getWest(),this.getNorth())}getSouthEast(){return new t.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(R){let{lng:ae,lat:we}=t.N.convert(R),Se=this._sw.lng<=ae&&ae<=this._ne.lng;return this._sw.lng>this._ne.lng&&(Se=this._sw.lng>=ae&&ae>=this._ne.lng),this._sw.lat<=we&&we<=this._ne.lat&&Se}static convert(R){return R instanceof re?R:R&&new re(R)}static fromLngLat(R,ae=0){let we=360*ae/40075017,Se=we/Math.cos(Math.PI/180*R.lat);return new re(new t.N(R.lng-Se,R.lat-we),new t.N(R.lng+Se,R.lat+we))}adjustAntiMeridian(){let R=new t.N(this._sw.lng,this._sw.lat),ae=new t.N(this._ne.lng,this._ne.lat);return new re(R,R.lng>ae.lng?new t.N(ae.lng+360,ae.lat):ae)}}class ce{constructor(R,ae,we){this.bounds=re.convert(this.validateBounds(R)),this.minzoom=ae||0,this.maxzoom=we||24}validateBounds(R){return Array.isArray(R)&&R.length===4?[Math.max(-180,R[0]),Math.max(-90,R[1]),Math.min(180,R[2]),Math.min(90,R[3])]:[-180,-90,180,90]}contains(R){let ae=Math.pow(2,R.z),we=Math.floor(t.O(this.bounds.getWest())*ae),Se=Math.floor(t.Q(this.bounds.getNorth())*ae),Oe=Math.ceil(t.O(this.bounds.getEast())*ae),pt=Math.ceil(t.Q(this.bounds.getSouth())*ae);return R.x>=we&&R.x<Oe&&R.y>=Se&&R.y<pt}}class be extends t.E{constructor(R,ae,we,Se){if(super(),this.id=R,this.dispatcher=we,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.e(this,t.M(ae,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.e({type:\"vector\"},ae),this._collectResourceTiming=ae.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(Se)}load(){return t._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new t.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let R=yield ee(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),R&&(t.e(this,R),R.bounds&&(this.tileBounds=new ce(R.bounds,this.minzoom,this.maxzoom)),this.fire(new t.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new t.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(R){this._tileJSONRequest=null,this.fire(new t.j(R))}})}loaded(){return this._loaded}hasTile(R){return!this.tileBounds||this.tileBounds.contains(R.canonical)}onAdd(R){this.map=R,this.load()}setSourceProperty(R){this._tileJSONRequest&&this._tileJSONRequest.abort(),R(),this.load()}setTiles(R){return this.setSourceProperty(()=>{this._options.tiles=R}),this}setUrl(R){return this.setSourceProperty(()=>{this.url=R,this._options.url=R}),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return t.e({},this._options)}loadTile(R){return t._(this,void 0,void 0,function*(){let ae=R.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),we={request:this.map._requestManager.transformRequest(ae,\"Tile\"),uid:R.uid,tileID:R.tileID,zoom:R.tileID.overscaledZ,tileSize:this.tileSize*R.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};we.request.collectResourceTiming=this._collectResourceTiming;let Se=\"RT\";if(R.actor&&R.state!==\"expired\"){if(R.state===\"loading\")return new Promise((Oe,pt)=>{R.reloadPromise={resolve:Oe,reject:pt}})}else R.actor=this.dispatcher.getActor(),Se=\"LT\";R.abortController=new AbortController;try{let Oe=yield R.actor.sendAsync({type:Se,data:we},R.abortController);if(delete R.abortController,R.aborted)return;this._afterTileLoadWorkerResponse(R,Oe)}catch(Oe){if(delete R.abortController,R.aborted)return;if(Oe&&Oe.status!==404)throw Oe;this._afterTileLoadWorkerResponse(R,null)}})}_afterTileLoadWorkerResponse(R,ae){if(ae&&ae.resourceTiming&&(R.resourceTiming=ae.resourceTiming),ae&&this.map._refreshExpiredTiles&&R.setExpiryData(ae),R.loadVectorData(ae,this.map.painter),R.reloadPromise){let we=R.reloadPromise;R.reloadPromise=null,this.loadTile(R).then(we.resolve).catch(we.reject)}}abortTile(R){return t._(this,void 0,void 0,function*(){R.abortController&&(R.abortController.abort(),delete R.abortController),R.actor&&(yield R.actor.sendAsync({type:\"AT\",data:{uid:R.uid,type:this.type,source:this.id}}))})}unloadTile(R){return t._(this,void 0,void 0,function*(){R.unloadVectorData(),R.actor&&(yield R.actor.sendAsync({type:\"RMT\",data:{uid:R.uid,type:this.type,source:this.id}}))})}hasTransition(){return!1}}class Ae extends t.E{constructor(R,ae,we,Se){super(),this.id=R,this.dispatcher=we,this.setEventedParent(Se),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.e({type:\"raster\"},ae),t.e(this,t.M(ae,[\"url\",\"scheme\",\"tileSize\"]))}load(){return t._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new t.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let R=yield ee(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,R&&(t.e(this,R),R.bounds&&(this.tileBounds=new ce(R.bounds,this.minzoom,this.maxzoom)),this.fire(new t.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new t.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(R){this._tileJSONRequest=null,this.fire(new t.j(R))}})}loaded(){return this._loaded}onAdd(R){this.map=R,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(R){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),R(),this.load()}setTiles(R){return this.setSourceProperty(()=>{this._options.tiles=R}),this}setUrl(R){return this.setSourceProperty(()=>{this.url=R,this._options.url=R}),this}serialize(){return t.e({},this._options)}hasTile(R){return!this.tileBounds||this.tileBounds.contains(R.canonical)}loadTile(R){return t._(this,void 0,void 0,function*(){let ae=R.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);R.abortController=new AbortController;try{let we=yield l.getImage(this.map._requestManager.transformRequest(ae,\"Tile\"),R.abortController,this.map._refreshExpiredTiles);if(delete R.abortController,R.aborted)return void(R.state=\"unloaded\");if(we&&we.data){this.map._refreshExpiredTiles&&we.cacheControl&&we.expires&&R.setExpiryData({cacheControl:we.cacheControl,expires:we.expires});let Se=this.map.painter.context,Oe=Se.gl,pt=we.data;R.texture=this.map.painter.getTileTexture(pt.width),R.texture?R.texture.update(pt,{useMipmap:!0}):(R.texture=new u(Se,pt,Oe.RGBA,{useMipmap:!0}),R.texture.bind(Oe.LINEAR,Oe.CLAMP_TO_EDGE,Oe.LINEAR_MIPMAP_NEAREST)),R.state=\"loaded\"}}catch(we){if(delete R.abortController,R.aborted)R.state=\"unloaded\";else if(we)throw R.state=\"errored\",we}})}abortTile(R){return t._(this,void 0,void 0,function*(){R.abortController&&(R.abortController.abort(),delete R.abortController)})}unloadTile(R){return t._(this,void 0,void 0,function*(){R.texture&&this.map.painter.saveTileTexture(R.texture)})}hasTransition(){return!1}}class ze extends Ae{constructor(R,ae,we,Se){super(R,ae,we,Se),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.e({type:\"raster-dem\"},ae),this.encoding=ae.encoding||\"mapbox\",this.redFactor=ae.redFactor,this.greenFactor=ae.greenFactor,this.blueFactor=ae.blueFactor,this.baseShift=ae.baseShift}loadTile(R){return t._(this,void 0,void 0,function*(){let ae=R.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),we=this.map._requestManager.transformRequest(ae,\"Tile\");R.neighboringTiles=this._getNeighboringTiles(R.tileID),R.abortController=new AbortController;try{let Se=yield l.getImage(we,R.abortController,this.map._refreshExpiredTiles);if(delete R.abortController,R.aborted)return void(R.state=\"unloaded\");if(Se&&Se.data){let Oe=Se.data;this.map._refreshExpiredTiles&&Se.cacheControl&&Se.expires&&R.setExpiryData({cacheControl:Se.cacheControl,expires:Se.expires});let pt=t.b(Oe)&&t.U()?Oe:yield this.readImageNow(Oe),At={type:this.type,uid:R.uid,source:this.id,rawImageData:pt,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!R.actor||R.state===\"expired\"){R.actor=this.dispatcher.getActor();let Bt=yield R.actor.sendAsync({type:\"LDT\",data:At});R.dem=Bt,R.needsHillshadePrepare=!0,R.needsTerrainPrepare=!0,R.state=\"loaded\"}}}catch(Se){if(delete R.abortController,R.aborted)R.state=\"unloaded\";else if(Se)throw R.state=\"errored\",Se}})}readImageNow(R){return t._(this,void 0,void 0,function*(){if(typeof VideoFrame<\"u\"&&t.V()){let ae=R.width+2,we=R.height+2;try{return new t.R({width:ae,height:we},yield t.W(R,-1,-1,ae,we))}catch{}}return i.getImageData(R,1)})}_getNeighboringTiles(R){let ae=R.canonical,we=Math.pow(2,ae.z),Se=(ae.x-1+we)%we,Oe=ae.x===0?R.wrap-1:R.wrap,pt=(ae.x+1+we)%we,At=ae.x+1===we?R.wrap+1:R.wrap,Bt={};return Bt[new t.S(R.overscaledZ,Oe,ae.z,Se,ae.y).key]={backfilled:!1},Bt[new t.S(R.overscaledZ,At,ae.z,pt,ae.y).key]={backfilled:!1},ae.y>0&&(Bt[new t.S(R.overscaledZ,Oe,ae.z,Se,ae.y-1).key]={backfilled:!1},Bt[new t.S(R.overscaledZ,R.wrap,ae.z,ae.x,ae.y-1).key]={backfilled:!1},Bt[new t.S(R.overscaledZ,At,ae.z,pt,ae.y-1).key]={backfilled:!1}),ae.y+1<we&&(Bt[new t.S(R.overscaledZ,Oe,ae.z,Se,ae.y+1).key]={backfilled:!1},Bt[new t.S(R.overscaledZ,R.wrap,ae.z,ae.x,ae.y+1).key]={backfilled:!1},Bt[new t.S(R.overscaledZ,At,ae.z,pt,ae.y+1).key]={backfilled:!1}),Bt}unloadTile(R){return t._(this,void 0,void 0,function*(){R.demTexture&&this.map.painter.saveTileTexture(R.demTexture),R.fbo&&(R.fbo.destroy(),delete R.fbo),R.dem&&delete R.dem,delete R.neighboringTiles,R.state=\"unloaded\",R.actor&&(yield R.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:R.uid,source:this.id}}))})}}class Re extends t.E{constructor(R,ae,we,Se){super(),this.id=R,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=we.getActor(),this.setEventedParent(Se),this._data=ae.data,this._options=t.e({},ae),this._collectResourceTiming=ae.collectResourceTiming,ae.maxzoom!==void 0&&(this.maxzoom=ae.maxzoom),ae.type&&(this.type=ae.type),ae.attribution&&(this.attribution=ae.attribution),this.promoteId=ae.promoteId;let Oe=t.X/this.tileSize;ae.clusterMaxZoom!==void 0&&this.maxzoom<=ae.clusterMaxZoom&&t.w(`The maxzoom value \"${this.maxzoom}\" is expected to be greater than the clusterMaxZoom value \"${ae.clusterMaxZoom}\".`),this.workerOptions=t.e({source:this.id,cluster:ae.cluster||!1,geojsonVtOptions:{buffer:(ae.buffer!==void 0?ae.buffer:128)*Oe,tolerance:(ae.tolerance!==void 0?ae.tolerance:.375)*Oe,extent:t.X,maxZoom:this.maxzoom,lineMetrics:ae.lineMetrics||!1,generateId:ae.generateId||!1},superclusterOptions:{maxZoom:ae.clusterMaxZoom!==void 0?ae.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,ae.clusterMinPoints||2),extent:t.X,radius:(ae.clusterRadius||50)*Oe,log:!1,generateId:ae.generateId||!1},clusterProperties:ae.clusterProperties,filter:ae.filter},ae.workerOptions),typeof this.promoteId==\"string\"&&(this.workerOptions.promoteId=this.promoteId)}load(){return t._(this,void 0,void 0,function*(){yield this._updateWorkerData()})}onAdd(R){this.map=R,this.load()}setData(R){return this._data=R,this._updateWorkerData(),this}updateData(R){return this._updateWorkerData(R),this}getData(){return t._(this,void 0,void 0,function*(){let R=t.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:R})})}setClusterOptions(R){return this.workerOptions.cluster=R.cluster,R&&(R.clusterRadius!==void 0&&(this.workerOptions.superclusterOptions.radius=R.clusterRadius),R.clusterMaxZoom!==void 0&&(this.workerOptions.superclusterOptions.maxZoom=R.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(R){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:R,source:this.id}})}getClusterChildren(R){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:R,source:this.id}})}getClusterLeaves(R,ae,we){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:R,limit:ae,offset:we}})}_updateWorkerData(R){return t._(this,void 0,void 0,function*(){let ae=t.e({type:this.type},this.workerOptions);R?ae.dataDiff=R:typeof this._data==\"string\"?(ae.request=this.map._requestManager.transformRequest(i.resolveURL(this._data),\"Source\"),ae.request.collectResourceTiming=this._collectResourceTiming):ae.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new t.k(\"dataloading\",{dataType:\"source\"}));try{let we=yield this.actor.sendAsync({type:\"LD\",data:ae});if(this._pendingLoads--,this._removed||we.abandoned)return void this.fire(new t.k(\"dataabort\",{dataType:\"source\"}));let Se=null;we.resourceTiming&&we.resourceTiming[this.id]&&(Se=we.resourceTiming[this.id].slice(0));let Oe={dataType:\"source\"};this._collectResourceTiming&&Se&&Se.length>0&&t.e(Oe,{resourceTiming:Se}),this.fire(new t.k(\"data\",Object.assign(Object.assign({},Oe),{sourceDataType:\"metadata\"}))),this.fire(new t.k(\"data\",Object.assign(Object.assign({},Oe),{sourceDataType:\"content\"})))}catch(we){if(this._pendingLoads--,this._removed)return void this.fire(new t.k(\"dataabort\",{dataType:\"source\"}));this.fire(new t.j(we))}})}loaded(){return this._pendingLoads===0}loadTile(R){return t._(this,void 0,void 0,function*(){let ae=R.actor?\"RT\":\"LT\";R.actor=this.actor;let we={type:this.type,uid:R.uid,tileID:R.tileID,zoom:R.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};R.abortController=new AbortController;let Se=yield this.actor.sendAsync({type:ae,data:we},R.abortController);delete R.abortController,R.unloadVectorData(),R.aborted||R.loadVectorData(Se,this.map.painter,ae===\"RT\")})}abortTile(R){return t._(this,void 0,void 0,function*(){R.abortController&&(R.abortController.abort(),delete R.abortController),R.aborted=!0})}unloadTile(R){return t._(this,void 0,void 0,function*(){R.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:R.uid,type:this.type,source:this.id}})})}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return t.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var Xe=t.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class it extends t.E{constructor(R,ae,we,Se){super(),this.id=R,this.dispatcher=we,this.coordinates=ae.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(Se),this.options=ae}load(R){return t._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new t.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{let ae=yield l.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,ae&&ae.data&&(this.image=ae.data,R&&(this.coordinates=R),this._finishLoading())}catch(ae){this._request=null,this._loaded=!0,this.fire(new t.j(ae))}})}loaded(){return this._loaded}updateImage(R){return R.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=R.url,this.load(R.coordinates).finally(()=>{this.texture=null}),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(R){this.map=R,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(R){this.coordinates=R;let ae=R.map(t.Z.fromLngLat);this.tileID=function(Se){let Oe=1/0,pt=1/0,At=-1/0,Bt=-1/0;for(let Yr of Se)Oe=Math.min(Oe,Yr.x),pt=Math.min(pt,Yr.y),At=Math.max(At,Yr.x),Bt=Math.max(Bt,Yr.y);let $t=Math.max(At-Oe,Bt-pt),br=Math.max(0,Math.floor(-Math.log($t)/Math.LN2)),Ar=Math.pow(2,br);return new t.a1(br,Math.floor((Oe+At)/2*Ar),Math.floor((pt+Bt)/2*Ar))}(ae),this.minzoom=this.maxzoom=this.tileID.z;let we=ae.map(Se=>this.tileID.getTilePoint(Se)._round());return this._boundsArray=new t.$,this._boundsArray.emplaceBack(we[0].x,we[0].y,0,0),this._boundsArray.emplaceBack(we[1].x,we[1].y,t.X,0),this._boundsArray.emplaceBack(we[3].x,we[3].y,0,t.X),this._boundsArray.emplaceBack(we[2].x,we[2].y,t.X,t.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(Object.keys(this.tiles).length===0||!this.image)return;let R=this.map.painter.context,ae=R.gl;this.boundsBuffer||(this.boundsBuffer=R.createVertexBuffer(this._boundsArray,Xe.members)),this.boundsSegments||(this.boundsSegments=t.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new u(R,this.image,ae.RGBA),this.texture.bind(ae.LINEAR,ae.CLAMP_TO_EDGE));let we=!1;for(let Se in this.tiles){let Oe=this.tiles[Se];Oe.state!==\"loaded\"&&(Oe.state=\"loaded\",Oe.texture=this.texture,we=!0)}we&&this.fire(new t.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(R){return t._(this,void 0,void 0,function*(){this.tileID&&this.tileID.equals(R.tileID.canonical)?(this.tiles[String(R.tileID.wrap)]=R,R.buckets={}):R.state=\"errored\"})}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class ot extends it{constructor(R,ae,we,Se){super(R,ae,we,Se),this.roundZoom=!0,this.type=\"video\",this.options=ae}load(){return t._(this,void 0,void 0,function*(){this._loaded=!1;let R=this.options;this.urls=[];for(let ae of R.urls)this.urls.push(this.map._requestManager.transformRequest(ae,\"Source\").url);try{let ae=yield t.a3(this.urls);if(this._loaded=!0,!ae)return;this.video=ae,this.video.loop=!0,this.video.addEventListener(\"playing\",()=>{this.map.triggerRepaint()}),this.map&&this.video.play(),this._finishLoading()}catch(ae){this.fire(new t.j(ae))}})}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(R){if(this.video){let ae=this.video.seekable;R<ae.start(0)||R>ae.end(0)?this.fire(new t.j(new t.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${ae.start(0)} and ${ae.end(0)}-second mark.`))):this.video.currentTime=R}}getVideo(){return this.video}onAdd(R){this.map||(this.map=R,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(Object.keys(this.tiles).length===0||this.video.readyState<2)return;let R=this.map.painter.context,ae=R.gl;this.boundsBuffer||(this.boundsBuffer=R.createVertexBuffer(this._boundsArray,Xe.members)),this.boundsSegments||(this.boundsSegments=t.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(ae.LINEAR,ae.CLAMP_TO_EDGE),ae.texSubImage2D(ae.TEXTURE_2D,0,0,0,ae.RGBA,ae.UNSIGNED_BYTE,this.video)):(this.texture=new u(R,this.video,ae.RGBA),this.texture.bind(ae.LINEAR,ae.CLAMP_TO_EDGE));let we=!1;for(let Se in this.tiles){let Oe=this.tiles[Se];Oe.state!==\"loaded\"&&(Oe.state=\"loaded\",Oe.texture=this.texture,we=!0)}we&&this.fire(new t.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class tt extends it{constructor(R,ae,we,Se){super(R,ae,we,Se),ae.coordinates?Array.isArray(ae.coordinates)&&ae.coordinates.length===4&&!ae.coordinates.some(Oe=>!Array.isArray(Oe)||Oe.length!==2||Oe.some(pt=>typeof pt!=\"number\"))||this.fire(new t.j(new t.a2(`sources.${R}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.j(new t.a2(`sources.${R}`,null,'missing required property \"coordinates\"'))),ae.animate&&typeof ae.animate!=\"boolean\"&&this.fire(new t.j(new t.a2(`sources.${R}`,null,'optional \"animate\" property must be a boolean value'))),ae.canvas?typeof ae.canvas==\"string\"||ae.canvas instanceof HTMLCanvasElement||this.fire(new t.j(new t.a2(`sources.${R}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.j(new t.a2(`sources.${R}`,null,'missing required property \"canvas\"'))),this.options=ae,this.animate=ae.animate===void 0||ae.animate}load(){return t._(this,void 0,void 0,function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())})}getCanvas(){return this.canvas}onAdd(R){this.map=R,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let R=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,R=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,R=!0),this._hasInvalidDimensions()||Object.keys(this.tiles).length===0)return;let ae=this.map.painter.context,we=ae.gl;this.boundsBuffer||(this.boundsBuffer=ae.createVertexBuffer(this._boundsArray,Xe.members)),this.boundsSegments||(this.boundsSegments=t.a0.simpleSegment(0,0,4,2)),this.texture?(R||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new u(ae,this.canvas,we.RGBA,{premultiply:!0});let Se=!1;for(let Oe in this.tiles){let pt=this.tiles[Oe];pt.state!==\"loaded\"&&(pt.state=\"loaded\",pt.texture=this.texture,Se=!0)}Se&&this.fire(new t.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(let R of[this.canvas.width,this.canvas.height])if(isNaN(R)||R<=0)return!0;return!1}}let lt={},Ee=Ne=>{switch(Ne){case\"geojson\":return Re;case\"image\":return it;case\"raster\":return Ae;case\"raster-dem\":return ze;case\"vector\":return be;case\"video\":return ot;case\"canvas\":return tt}return lt[Ne]},_e=\"RTLPluginLoaded\";class fe extends t.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=X()}_syncState(R){return this.status=R,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:R,pluginURL:this.url}).catch(ae=>{throw this.status=\"error\",ae})}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(R){return t._(this,arguments,void 0,function*(ae,we=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=i.resolveURL(ae),!this.url)throw new Error(`requested url ${ae} is invalid`);if(this.status===\"unavailable\"){if(!we)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(this.status===\"requested\")return this._requestImport()})}_requestImport(){return t._(this,void 0,void 0,function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new t.k(_e))})}lazyLoad(){this.status===\"unavailable\"?this.status=\"requested\":this.status===\"deferred\"&&this._requestImport()}}let Fe=null;function rt(){return Fe||(Fe=new fe),Fe}class st{constructor(R,ae){this.timeAdded=0,this.fadeEndTime=0,this.tileID=R,this.uid=t.a4(),this.uses=0,this.tileSize=ae,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(R){let ae=R+this.timeAdded;ae<this.fadeEndTime||(this.fadeEndTime=ae)}wasRequested(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"}clearTextures(R){this.demTexture&&R.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(R,ae,we){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",R){R.featureIndex&&(this.latestFeatureIndex=R.featureIndex,R.rawTileData?(this.latestRawTileData=R.rawTileData,this.latestFeatureIndex.rawTileData=R.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=R.collisionBoxArray,this.buckets=function(Se,Oe){let pt={};if(!Oe)return pt;for(let At of Se){let Bt=At.layerIds.map($t=>Oe.getLayer($t)).filter(Boolean);if(Bt.length!==0){At.layers=Bt,At.stateDependentLayerIds&&(At.stateDependentLayers=At.stateDependentLayerIds.map($t=>Bt.filter(br=>br.id===$t)[0]));for(let $t of Bt)pt[$t.id]=At}}return pt}(R.buckets,ae.style),this.hasSymbolBuckets=!1;for(let Se in this.buckets){let Oe=this.buckets[Se];if(Oe instanceof t.a6){if(this.hasSymbolBuckets=!0,!we)break;Oe.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(let Se in this.buckets){let Oe=this.buckets[Se];if(Oe instanceof t.a6&&Oe.hasRTLText){this.hasRTLText=!0,rt().lazyLoad();break}}this.queryPadding=0;for(let Se in this.buckets){let Oe=this.buckets[Se];this.queryPadding=Math.max(this.queryPadding,ae.style.getLayer(Se).queryRadius(Oe))}R.imageAtlas&&(this.imageAtlas=R.imageAtlas),R.glyphAtlasImage&&(this.glyphAtlasImage=R.glyphAtlasImage)}else this.collisionBoxArray=new t.a5}unloadVectorData(){for(let R in this.buckets)this.buckets[R].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"}getBucket(R){return this.buckets[R.id]}upload(R){for(let we in this.buckets){let Se=this.buckets[we];Se.uploadPending()&&Se.upload(R)}let ae=R.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new u(R,this.imageAtlas.image,ae.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new u(R,this.glyphAtlasImage,ae.ALPHA),this.glyphAtlasImage=null)}prepare(R){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(R,this.imageAtlasTexture)}queryRenderedFeatures(R,ae,we,Se,Oe,pt,At,Bt,$t,br){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:Se,cameraQueryGeometry:Oe,scale:pt,tileSize:this.tileSize,pixelPosMatrix:br,transform:Bt,params:At,queryPadding:this.queryPadding*$t},R,ae,we):{}}querySourceFeatures(R,ae){let we=this.latestFeatureIndex;if(!we||!we.rawTileData)return;let Se=we.loadVTLayers(),Oe=ae&&ae.sourceLayer?ae.sourceLayer:\"\",pt=Se._geojsonTileLayer||Se[Oe];if(!pt)return;let At=t.a7(ae&&ae.filter),{z:Bt,x:$t,y:br}=this.tileID.canonical,Ar={z:Bt,x:$t,y:br};for(let Yr=0;Yr<pt.length;Yr++){let sa=pt.feature(Yr);if(At.needGeometry){let ut=t.a8(sa,!0);if(!At.filter(new t.z(this.tileID.overscaledZ),ut,this.tileID.canonical))continue}else if(!At.filter(new t.z(this.tileID.overscaledZ),sa))continue;let He=we.getId(sa,Oe),Je=new t.a9(sa,Bt,$t,br,He);Je.tile=Ar,R.push(Je)}}hasData(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(R){let ae=this.expirationTime;if(R.cacheControl){let we=t.aa(R.cacheControl);we[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*we[\"max-age\"])}else R.expires&&(this.expirationTime=new Date(R.expires).getTime());if(this.expirationTime){let we=Date.now(),Se=!1;if(this.expirationTime>we)Se=!1;else if(ae)if(this.expirationTime<ae)Se=!0;else{let Oe=this.expirationTime-ae;Oe?this.expirationTime=we+Math.max(Oe,3e4):Se=!0}else Se=!0;Se?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)}setFeatureState(R,ae){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(R).length===0)return;let we=this.latestFeatureIndex.loadVTLayers();for(let Se in this.buckets){if(!ae.style.hasLayer(Se))continue;let Oe=this.buckets[Se],pt=Oe.layers[0].sourceLayer||\"_geojsonTileLayer\",At=we[pt],Bt=R[pt];if(!At||!Bt||Object.keys(Bt).length===0)continue;Oe.update(Bt,At,this.imageAtlas&&this.imageAtlas.patternPositions||{});let $t=ae&&ae.style&&ae.style.getLayer(Se);$t&&(this.queryPadding=Math.max(this.queryPadding,$t.queryRadius(Oe)))}}holdingForFade(){return this.symbolFadeHoldUntil!==void 0}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<i.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(R){this.symbolFadeHoldUntil=i.now()+R}setDependencies(R,ae){let we={};for(let Se of ae)we[Se]=!0;this.dependencies[R]=we}hasDependency(R,ae){for(let we of R){let Se=this.dependencies[we];if(Se){for(let Oe of ae)if(Se[Oe])return!0}}return!1}}class Qe{constructor(R,ae){this.max=R,this.onRemove=ae,this.reset()}reset(){for(let R in this.data)for(let ae of this.data[R])ae.timeout&&clearTimeout(ae.timeout),this.onRemove(ae.value);return this.data={},this.order=[],this}add(R,ae,we){let Se=R.wrapped().key;this.data[Se]===void 0&&(this.data[Se]=[]);let Oe={value:ae,timeout:void 0};if(we!==void 0&&(Oe.timeout=setTimeout(()=>{this.remove(R,Oe)},we)),this.data[Se].push(Oe),this.order.push(Se),this.order.length>this.max){let pt=this._getAndRemoveByKey(this.order[0]);pt&&this.onRemove(pt)}return this}has(R){return R.wrapped().key in this.data}getAndRemove(R){return this.has(R)?this._getAndRemoveByKey(R.wrapped().key):null}_getAndRemoveByKey(R){let ae=this.data[R].shift();return ae.timeout&&clearTimeout(ae.timeout),this.data[R].length===0&&delete this.data[R],this.order.splice(this.order.indexOf(R),1),ae.value}getByKey(R){let ae=this.data[R];return ae?ae[0].value:null}get(R){return this.has(R)?this.data[R.wrapped().key][0].value:null}remove(R,ae){if(!this.has(R))return this;let we=R.wrapped().key,Se=ae===void 0?0:this.data[we].indexOf(ae),Oe=this.data[we][Se];return this.data[we].splice(Se,1),Oe.timeout&&clearTimeout(Oe.timeout),this.data[we].length===0&&delete this.data[we],this.onRemove(Oe.value),this.order.splice(this.order.indexOf(we),1),this}setMaxSize(R){for(this.max=R;this.order.length>this.max;){let ae=this._getAndRemoveByKey(this.order[0]);ae&&this.onRemove(ae)}return this}filter(R){let ae=[];for(let we in this.data)for(let Se of this.data[we])R(Se.value)||ae.push(Se);for(let we of ae)this.remove(we.value.tileID,we)}}class Lt{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(R,ae,we){let Se=String(ae);if(this.stateChanges[R]=this.stateChanges[R]||{},this.stateChanges[R][Se]=this.stateChanges[R][Se]||{},t.e(this.stateChanges[R][Se],we),this.deletedStates[R]===null){this.deletedStates[R]={};for(let Oe in this.state[R])Oe!==Se&&(this.deletedStates[R][Oe]=null)}else if(this.deletedStates[R]&&this.deletedStates[R][Se]===null){this.deletedStates[R][Se]={};for(let Oe in this.state[R][Se])we[Oe]||(this.deletedStates[R][Se][Oe]=null)}else for(let Oe in we)this.deletedStates[R]&&this.deletedStates[R][Se]&&this.deletedStates[R][Se][Oe]===null&&delete this.deletedStates[R][Se][Oe]}removeFeatureState(R,ae,we){if(this.deletedStates[R]===null)return;let Se=String(ae);if(this.deletedStates[R]=this.deletedStates[R]||{},we&&ae!==void 0)this.deletedStates[R][Se]!==null&&(this.deletedStates[R][Se]=this.deletedStates[R][Se]||{},this.deletedStates[R][Se][we]=null);else if(ae!==void 0)if(this.stateChanges[R]&&this.stateChanges[R][Se])for(we in this.deletedStates[R][Se]={},this.stateChanges[R][Se])this.deletedStates[R][Se][we]=null;else this.deletedStates[R][Se]=null;else this.deletedStates[R]=null}getState(R,ae){let we=String(ae),Se=t.e({},(this.state[R]||{})[we],(this.stateChanges[R]||{})[we]);if(this.deletedStates[R]===null)return{};if(this.deletedStates[R]){let Oe=this.deletedStates[R][ae];if(Oe===null)return{};for(let pt in Oe)delete Se[pt]}return Se}initializeTileState(R,ae){R.setFeatureState(this.state,ae)}coalesceChanges(R,ae){let we={};for(let Se in this.stateChanges){this.state[Se]=this.state[Se]||{};let Oe={};for(let pt in this.stateChanges[Se])this.state[Se][pt]||(this.state[Se][pt]={}),t.e(this.state[Se][pt],this.stateChanges[Se][pt]),Oe[pt]=this.state[Se][pt];we[Se]=Oe}for(let Se in this.deletedStates){this.state[Se]=this.state[Se]||{};let Oe={};if(this.deletedStates[Se]===null)for(let pt in this.state[Se])Oe[pt]={},this.state[Se][pt]={};else for(let pt in this.deletedStates[Se]){if(this.deletedStates[Se][pt]===null)this.state[Se][pt]={};else for(let At of Object.keys(this.deletedStates[Se][pt]))delete this.state[Se][pt][At];Oe[pt]=this.state[Se][pt]}we[Se]=we[Se]||{},t.e(we[Se],Oe)}if(this.stateChanges={},this.deletedStates={},Object.keys(we).length!==0)for(let Se in R)R[Se].setFeatureState(we,ae)}}class kt extends t.E{constructor(R,ae,we){super(),this.id=R,this.dispatcher=we,this.on(\"data\",Se=>this._dataHandler(Se)),this.on(\"dataloading\",()=>{this._sourceErrored=!1}),this.on(\"error\",()=>{this._sourceErrored=this._source.loaded()}),this._source=((Se,Oe,pt,At)=>{let Bt=new(Ee(Oe.type))(Se,Oe,pt,At);if(Bt.id!==Se)throw new Error(`Expected Source id to be ${Se} instead of ${Bt.id}`);return Bt})(R,ae,we,this),this._tiles={},this._cache=new Qe(0,Se=>this._unloadTile(Se)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new Lt,this._didEmitContent=!1,this._updated=!1}onAdd(R){this.map=R,this._maxTileCacheSize=R?R._maxTileCacheSize:null,this._maxTileCacheZoomLevels=R?R._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(R)}onRemove(R){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(R)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;if(!(this.used===void 0&&this.usedForTerrain===void 0||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(let R in this._tiles){let ae=this._tiles[R];if(ae.state!==\"loaded\"&&ae.state!==\"errored\")return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;let R=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,R&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(R,ae,we){return t._(this,void 0,void 0,function*(){try{yield this._source.loadTile(R),this._tileLoaded(R,ae,we)}catch(Se){R.state=\"errored\",Se.status!==404?this._source.fire(new t.j(Se,{tile:R})):this.update(this.transform,this.terrain)}})}_unloadTile(R){this._source.unloadTile&&this._source.unloadTile(R)}_abortTile(R){this._source.abortTile&&this._source.abortTile(R),this._source.fire(new t.k(\"dataabort\",{tile:R,coord:R.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(R){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(let ae in this._tiles){let we=this._tiles[ae];we.upload(R),we.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map(R=>R.tileID).sort(Vt).map(R=>R.key)}getRenderableIds(R){let ae=[];for(let we in this._tiles)this._isIdRenderable(we,R)&&ae.push(this._tiles[we]);return R?ae.sort((we,Se)=>{let Oe=we.tileID,pt=Se.tileID,At=new t.P(Oe.canonical.x,Oe.canonical.y)._rotate(this.transform.angle),Bt=new t.P(pt.canonical.x,pt.canonical.y)._rotate(this.transform.angle);return Oe.overscaledZ-pt.overscaledZ||Bt.y-At.y||Bt.x-At.x}).map(we=>we.tileID.key):ae.map(we=>we.tileID).sort(Vt).map(we=>we.key)}hasRenderableParent(R){let ae=this.findLoadedParent(R,0);return!!ae&&this._isIdRenderable(ae.tileID.key)}_isIdRenderable(R,ae){return this._tiles[R]&&this._tiles[R].hasData()&&!this._coveredTiles[R]&&(ae||!this._tiles[R].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(let R in this._tiles)this._tiles[R].state!==\"errored\"&&this._reloadTile(R,\"reloading\")}}_reloadTile(R,ae){return t._(this,void 0,void 0,function*(){let we=this._tiles[R];we&&(we.state!==\"loading\"&&(we.state=ae),yield this._loadTile(we,R,ae))})}_tileLoaded(R,ae,we){R.timeAdded=i.now(),we===\"expired\"&&(R.refreshedUponExpiration=!0),this._setTileReloadTimer(ae,R),this.getSource().type===\"raster-dem\"&&R.dem&&this._backfillDEM(R),this._state.initializeTileState(R,this.map?this.map.painter:null),R.aborted||this._source.fire(new t.k(\"data\",{dataType:\"source\",tile:R,coord:R.tileID}))}_backfillDEM(R){let ae=this.getRenderableIds();for(let Se=0;Se<ae.length;Se++){let Oe=ae[Se];if(R.neighboringTiles&&R.neighboringTiles[Oe]){let pt=this.getTileByID(Oe);we(R,pt),we(pt,R)}}function we(Se,Oe){Se.needsHillshadePrepare=!0,Se.needsTerrainPrepare=!0;let pt=Oe.tileID.canonical.x-Se.tileID.canonical.x,At=Oe.tileID.canonical.y-Se.tileID.canonical.y,Bt=Math.pow(2,Se.tileID.canonical.z),$t=Oe.tileID.key;pt===0&&At===0||Math.abs(At)>1||(Math.abs(pt)>1&&(Math.abs(pt+Bt)===1?pt+=Bt:Math.abs(pt-Bt)===1&&(pt-=Bt)),Oe.dem&&Se.dem&&(Se.dem.backfillBorder(Oe.dem,pt,At),Se.neighboringTiles&&Se.neighboringTiles[$t]&&(Se.neighboringTiles[$t].backfilled=!0)))}}getTile(R){return this.getTileByID(R.key)}getTileByID(R){return this._tiles[R]}_retainLoadedChildren(R,ae,we,Se){for(let Oe in this._tiles){let pt=this._tiles[Oe];if(Se[Oe]||!pt.hasData()||pt.tileID.overscaledZ<=ae||pt.tileID.overscaledZ>we)continue;let At=pt.tileID;for(;pt&&pt.tileID.overscaledZ>ae+1;){let $t=pt.tileID.scaledTo(pt.tileID.overscaledZ-1);pt=this._tiles[$t.key],pt&&pt.hasData()&&(At=$t)}let Bt=At;for(;Bt.overscaledZ>ae;)if(Bt=Bt.scaledTo(Bt.overscaledZ-1),R[Bt.key]){Se[At.key]=At;break}}}findLoadedParent(R,ae){if(R.key in this._loadedParentTiles){let we=this._loadedParentTiles[R.key];return we&&we.tileID.overscaledZ>=ae?we:null}for(let we=R.overscaledZ-1;we>=ae;we--){let Se=R.scaledTo(we),Oe=this._getLoadedTile(Se);if(Oe)return Oe}}findLoadedSibling(R){return this._getLoadedTile(R)}_getLoadedTile(R){let ae=this._tiles[R.key];return ae&&ae.hasData()?ae:this._cache.getByKey(R.wrapped().key)}updateCacheSize(R){let ae=Math.ceil(R.width/this._source.tileSize)+1,we=Math.ceil(R.height/this._source.tileSize)+1,Se=Math.floor(ae*we*(this._maxTileCacheZoomLevels===null?t.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels)),Oe=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,Se):Se;this._cache.setMaxSize(Oe)}handleWrapJump(R){let ae=Math.round((R-(this._prevLng===void 0?R:this._prevLng))/360);if(this._prevLng=R,ae){let we={};for(let Se in this._tiles){let Oe=this._tiles[Se];Oe.tileID=Oe.tileID.unwrapTo(Oe.tileID.wrap+ae),we[Oe.tileID.key]=Oe}this._tiles=we;for(let Se in this._timers)clearTimeout(this._timers[Se]),delete this._timers[Se];for(let Se in this._tiles)this._setTileReloadTimer(Se,this._tiles[Se])}}_updateCoveredAndRetainedTiles(R,ae,we,Se,Oe,pt){let At={},Bt={},$t=Object.keys(R),br=i.now();for(let Ar of $t){let Yr=R[Ar],sa=this._tiles[Ar];if(!sa||sa.fadeEndTime!==0&&sa.fadeEndTime<=br)continue;let He=this.findLoadedParent(Yr,ae),Je=this.findLoadedSibling(Yr),ut=He||Je||null;ut&&(this._addTile(ut.tileID),At[ut.tileID.key]=ut.tileID),Bt[Ar]=Yr}this._retainLoadedChildren(Bt,Se,we,R);for(let Ar in At)R[Ar]||(this._coveredTiles[Ar]=!0,R[Ar]=At[Ar]);if(pt){let Ar={},Yr={};for(let sa of Oe)this._tiles[sa.key].hasData()?Ar[sa.key]=sa:Yr[sa.key]=sa;for(let sa in Yr){let He=Yr[sa].children(this._source.maxzoom);this._tiles[He[0].key]&&this._tiles[He[1].key]&&this._tiles[He[2].key]&&this._tiles[He[3].key]&&(Ar[He[0].key]=R[He[0].key]=He[0],Ar[He[1].key]=R[He[1].key]=He[1],Ar[He[2].key]=R[He[2].key]=He[2],Ar[He[3].key]=R[He[3].key]=He[3],delete Yr[sa])}for(let sa in Yr){let He=Yr[sa],Je=this.findLoadedParent(He,this._source.minzoom),ut=this.findLoadedSibling(He),dt=Je||ut||null;if(dt){Ar[dt.tileID.key]=R[dt.tileID.key]=dt.tileID;for(let Ct in Ar)Ar[Ct].isChildOf(dt.tileID)&&delete Ar[Ct]}}for(let sa in this._tiles)Ar[sa]||(this._coveredTiles[sa]=!0)}}update(R,ae){if(!this._sourceLoaded||this._paused)return;let we;this.transform=R,this.terrain=ae,this.updateCacheSize(R),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?we=R.getVisibleUnwrappedCoordinates(this._source.tileID).map(br=>new t.S(br.canonical.z,br.wrap,br.canonical.z,br.canonical.x,br.canonical.y)):(we=R.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:ae}),this._source.hasTile&&(we=we.filter(br=>this._source.hasTile(br)))):we=[];let Se=R.coveringZoomLevel(this._source),Oe=Math.max(Se-kt.maxOverzooming,this._source.minzoom),pt=Math.max(Se+kt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){let br={};for(let Ar of we)if(Ar.canonical.z>this._source.minzoom){let Yr=Ar.scaledTo(Ar.canonical.z-1);br[Yr.key]=Yr;let sa=Ar.scaledTo(Math.max(this._source.minzoom,Math.min(Ar.canonical.z,5)));br[sa.key]=sa}we=we.concat(Object.values(br))}let At=we.length===0&&!this._updated&&this._didEmitContent;this._updated=!0,At&&this.fire(new t.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));let Bt=this._updateRetainedTiles(we,Se);Zt(this._source.type)&&this._updateCoveredAndRetainedTiles(Bt,Oe,pt,Se,we,ae);for(let br in Bt)this._tiles[br].clearFadeHold();let $t=t.ab(this._tiles,Bt);for(let br of $t){let Ar=this._tiles[br];Ar.hasSymbolBuckets&&!Ar.holdingForFade()?Ar.setHoldDuration(this.map._fadeDuration):Ar.hasSymbolBuckets&&!Ar.symbolFadeFinished()||this._removeTile(br)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(let R in this._tiles)this._tiles[R].holdingForFade()&&this._removeTile(R)}_updateRetainedTiles(R,ae){var we;let Se={},Oe={},pt=Math.max(ae-kt.maxOverzooming,this._source.minzoom),At=Math.max(ae+kt.maxUnderzooming,this._source.minzoom),Bt={};for(let $t of R){let br=this._addTile($t);Se[$t.key]=$t,br.hasData()||ae<this._source.maxzoom&&(Bt[$t.key]=$t)}this._retainLoadedChildren(Bt,ae,At,Se);for(let $t of R){let br=this._tiles[$t.key];if(br.hasData())continue;if(ae+1>this._source.maxzoom){let Yr=$t.children(this._source.maxzoom)[0],sa=this.getTile(Yr);if(sa&&sa.hasData()){Se[Yr.key]=Yr;continue}}else{let Yr=$t.children(this._source.maxzoom);if(Se[Yr[0].key]&&Se[Yr[1].key]&&Se[Yr[2].key]&&Se[Yr[3].key])continue}let Ar=br.wasRequested();for(let Yr=$t.overscaledZ-1;Yr>=pt;--Yr){let sa=$t.scaledTo(Yr);if(Oe[sa.key])break;if(Oe[sa.key]=!0,br=this.getTile(sa),!br&&Ar&&(br=this._addTile(sa)),br){let He=br.hasData();if((He||!(!((we=this.map)===null||we===void 0)&&we.cancelPendingTileRequestsWhileZooming)||Ar)&&(Se[sa.key]=sa),Ar=br.wasRequested(),He)break}}}return Se}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(let R in this._tiles){let ae=[],we,Se=this._tiles[R].tileID;for(;Se.overscaledZ>0;){if(Se.key in this._loadedParentTiles){we=this._loadedParentTiles[Se.key];break}ae.push(Se.key);let Oe=Se.scaledTo(Se.overscaledZ-1);if(we=this._getLoadedTile(Oe),we)break;Se=Oe}for(let Oe of ae)this._loadedParentTiles[Oe]=we}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(let R in this._tiles){let ae=this._tiles[R].tileID,we=this._getLoadedTile(ae);this._loadedSiblingTiles[ae.key]=we}}_addTile(R){let ae=this._tiles[R.key];if(ae)return ae;ae=this._cache.getAndRemove(R),ae&&(this._setTileReloadTimer(R.key,ae),ae.tileID=R,this._state.initializeTileState(ae,this.map?this.map.painter:null),this._cacheTimers[R.key]&&(clearTimeout(this._cacheTimers[R.key]),delete this._cacheTimers[R.key],this._setTileReloadTimer(R.key,ae)));let we=ae;return ae||(ae=new st(R,this._source.tileSize*R.overscaleFactor()),this._loadTile(ae,R.key,ae.state)),ae.uses++,this._tiles[R.key]=ae,we||this._source.fire(new t.k(\"dataloading\",{tile:ae,coord:ae.tileID,dataType:\"source\"})),ae}_setTileReloadTimer(R,ae){R in this._timers&&(clearTimeout(this._timers[R]),delete this._timers[R]);let we=ae.getExpiryTimeout();we&&(this._timers[R]=setTimeout(()=>{this._reloadTile(R,\"expired\"),delete this._timers[R]},we))}_removeTile(R){let ae=this._tiles[R];ae&&(ae.uses--,delete this._tiles[R],this._timers[R]&&(clearTimeout(this._timers[R]),delete this._timers[R]),ae.uses>0||(ae.hasData()&&ae.state!==\"reloading\"?this._cache.add(ae.tileID,ae,ae.getExpiryTimeout()):(ae.aborted=!0,this._abortTile(ae),this._unloadTile(ae))))}_dataHandler(R){let ae=R.sourceDataType;R.dataType===\"source\"&&ae===\"metadata\"&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&R.dataType===\"source\"&&ae===\"content\"&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(let R in this._tiles)this._removeTile(R);this._cache.reset()}tilesIn(R,ae,we){let Se=[],Oe=this.transform;if(!Oe)return Se;let pt=we?Oe.getCameraQueryGeometry(R):R,At=R.map(He=>Oe.pointCoordinate(He,this.terrain)),Bt=pt.map(He=>Oe.pointCoordinate(He,this.terrain)),$t=this.getIds(),br=1/0,Ar=1/0,Yr=-1/0,sa=-1/0;for(let He of Bt)br=Math.min(br,He.x),Ar=Math.min(Ar,He.y),Yr=Math.max(Yr,He.x),sa=Math.max(sa,He.y);for(let He=0;He<$t.length;He++){let Je=this._tiles[$t[He]];if(Je.holdingForFade())continue;let ut=Je.tileID,dt=Math.pow(2,Oe.zoom-Je.tileID.overscaledZ),Ct=ae*Je.queryPadding*t.X/Je.tileSize/dt,wt=[ut.getTilePoint(new t.Z(br,Ar)),ut.getTilePoint(new t.Z(Yr,sa))];if(wt[0].x-Ct<t.X&&wt[0].y-Ct<t.X&&wt[1].x+Ct>=0&&wt[1].y+Ct>=0){let Dt=At.map(mr=>ut.getTilePoint(mr)),ur=Bt.map(mr=>ut.getTilePoint(mr));Se.push({tile:Je,tileID:ut,queryGeometry:Dt,cameraQueryGeometry:ur,scale:dt})}}return Se}getVisibleCoordinates(R){let ae=this.getRenderableIds(R).map(we=>this._tiles[we].tileID);for(let we of ae)we.posMatrix=this.transform.calculatePosMatrix(we.toUnwrapped());return ae}hasTransition(){if(this._source.hasTransition())return!0;if(Zt(this._source.type)){let R=i.now();for(let ae in this._tiles)if(this._tiles[ae].fadeEndTime>=R)return!0}return!1}setFeatureState(R,ae,we){this._state.updateState(R=R||\"_geojsonTileLayer\",ae,we)}removeFeatureState(R,ae,we){this._state.removeFeatureState(R=R||\"_geojsonTileLayer\",ae,we)}getFeatureState(R,ae){return this._state.getState(R=R||\"_geojsonTileLayer\",ae)}setDependencies(R,ae,we){let Se=this._tiles[R];Se&&Se.setDependencies(ae,we)}reloadTilesForDependencies(R,ae){for(let we in this._tiles)this._tiles[we].hasDependency(R,ae)&&this._reloadTile(we,\"reloading\");this._cache.filter(we=>!we.hasDependency(R,ae))}}function Vt(Ne,R){let ae=Math.abs(2*Ne.wrap)-+(Ne.wrap<0),we=Math.abs(2*R.wrap)-+(R.wrap<0);return Ne.overscaledZ-R.overscaledZ||we-ae||R.canonical.y-Ne.canonical.y||R.canonical.x-Ne.canonical.x}function Zt(Ne){return Ne===\"raster\"||Ne===\"image\"||Ne===\"video\"}kt.maxOverzooming=10,kt.maxUnderzooming=3;class Sr{constructor(R,ae){this.reset(R,ae)}reset(R,ae){this.points=R||[],this._distances=[0];for(let we=1;we<this.points.length;we++)this._distances[we]=this._distances[we-1]+this.points[we].dist(this.points[we-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(ae||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(R){if(this.points.length===1)return this.points[0];R=t.ac(R,0,1);let ae=1,we=this._distances[ae],Se=R*this.paddedLength+this.padding;for(;we<Se&&ae<this._distances.length;)we=this._distances[++ae];let Oe=ae-1,pt=this._distances[Oe],At=we-pt,Bt=At>0?(Se-pt)/At:0;return this.points[Oe].mult(1-Bt).add(this.points[ae].mult(Bt))}}function xr(Ne,R){let ae=!0;return Ne===\"always\"||Ne!==\"never\"&&R!==\"never\"||(ae=!1),ae}class jr{constructor(R,ae,we){let Se=this.boxCells=[],Oe=this.circleCells=[];this.xCellCount=Math.ceil(R/we),this.yCellCount=Math.ceil(ae/we);for(let pt=0;pt<this.xCellCount*this.yCellCount;pt++)Se.push([]),Oe.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=R,this.height=ae,this.xScale=this.xCellCount/R,this.yScale=this.yCellCount/ae,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(R,ae,we,Se,Oe){this._forEachCell(ae,we,Se,Oe,this._insertBoxCell,this.boxUid++),this.boxKeys.push(R),this.bboxes.push(ae),this.bboxes.push(we),this.bboxes.push(Se),this.bboxes.push(Oe)}insertCircle(R,ae,we,Se){this._forEachCell(ae-Se,we-Se,ae+Se,we+Se,this._insertCircleCell,this.circleUid++),this.circleKeys.push(R),this.circles.push(ae),this.circles.push(we),this.circles.push(Se)}_insertBoxCell(R,ae,we,Se,Oe,pt){this.boxCells[Oe].push(pt)}_insertCircleCell(R,ae,we,Se,Oe,pt){this.circleCells[Oe].push(pt)}_query(R,ae,we,Se,Oe,pt,At){if(we<0||R>this.width||Se<0||ae>this.height)return[];let Bt=[];if(R<=0&&ae<=0&&this.width<=we&&this.height<=Se){if(Oe)return[{key:null,x1:R,y1:ae,x2:we,y2:Se}];for(let $t=0;$t<this.boxKeys.length;$t++)Bt.push({key:this.boxKeys[$t],x1:this.bboxes[4*$t],y1:this.bboxes[4*$t+1],x2:this.bboxes[4*$t+2],y2:this.bboxes[4*$t+3]});for(let $t=0;$t<this.circleKeys.length;$t++){let br=this.circles[3*$t],Ar=this.circles[3*$t+1],Yr=this.circles[3*$t+2];Bt.push({key:this.circleKeys[$t],x1:br-Yr,y1:Ar-Yr,x2:br+Yr,y2:Ar+Yr})}}else this._forEachCell(R,ae,we,Se,this._queryCell,Bt,{hitTest:Oe,overlapMode:pt,seenUids:{box:{},circle:{}}},At);return Bt}query(R,ae,we,Se){return this._query(R,ae,we,Se,!1,null)}hitTest(R,ae,we,Se,Oe,pt){return this._query(R,ae,we,Se,!0,Oe,pt).length>0}hitTestCircle(R,ae,we,Se,Oe){let pt=R-we,At=R+we,Bt=ae-we,$t=ae+we;if(At<0||pt>this.width||$t<0||Bt>this.height)return!1;let br=[];return this._forEachCell(pt,Bt,At,$t,this._queryCellCircle,br,{hitTest:!0,overlapMode:Se,circle:{x:R,y:ae,radius:we},seenUids:{box:{},circle:{}}},Oe),br.length>0}_queryCell(R,ae,we,Se,Oe,pt,At,Bt){let{seenUids:$t,hitTest:br,overlapMode:Ar}=At,Yr=this.boxCells[Oe];if(Yr!==null){let He=this.bboxes;for(let Je of Yr)if(!$t.box[Je]){$t.box[Je]=!0;let ut=4*Je,dt=this.boxKeys[Je];if(R<=He[ut+2]&&ae<=He[ut+3]&&we>=He[ut+0]&&Se>=He[ut+1]&&(!Bt||Bt(dt))&&(!br||!xr(Ar,dt.overlapMode))&&(pt.push({key:dt,x1:He[ut],y1:He[ut+1],x2:He[ut+2],y2:He[ut+3]}),br))return!0}}let sa=this.circleCells[Oe];if(sa!==null){let He=this.circles;for(let Je of sa)if(!$t.circle[Je]){$t.circle[Je]=!0;let ut=3*Je,dt=this.circleKeys[Je];if(this._circleAndRectCollide(He[ut],He[ut+1],He[ut+2],R,ae,we,Se)&&(!Bt||Bt(dt))&&(!br||!xr(Ar,dt.overlapMode))){let Ct=He[ut],wt=He[ut+1],Dt=He[ut+2];if(pt.push({key:dt,x1:Ct-Dt,y1:wt-Dt,x2:Ct+Dt,y2:wt+Dt}),br)return!0}}}return!1}_queryCellCircle(R,ae,we,Se,Oe,pt,At,Bt){let{circle:$t,seenUids:br,overlapMode:Ar}=At,Yr=this.boxCells[Oe];if(Yr!==null){let He=this.bboxes;for(let Je of Yr)if(!br.box[Je]){br.box[Je]=!0;let ut=4*Je,dt=this.boxKeys[Je];if(this._circleAndRectCollide($t.x,$t.y,$t.radius,He[ut+0],He[ut+1],He[ut+2],He[ut+3])&&(!Bt||Bt(dt))&&!xr(Ar,dt.overlapMode))return pt.push(!0),!0}}let sa=this.circleCells[Oe];if(sa!==null){let He=this.circles;for(let Je of sa)if(!br.circle[Je]){br.circle[Je]=!0;let ut=3*Je,dt=this.circleKeys[Je];if(this._circlesCollide(He[ut],He[ut+1],He[ut+2],$t.x,$t.y,$t.radius)&&(!Bt||Bt(dt))&&!xr(Ar,dt.overlapMode))return pt.push(!0),!0}}}_forEachCell(R,ae,we,Se,Oe,pt,At,Bt){let $t=this._convertToXCellCoord(R),br=this._convertToYCellCoord(ae),Ar=this._convertToXCellCoord(we),Yr=this._convertToYCellCoord(Se);for(let sa=$t;sa<=Ar;sa++)for(let He=br;He<=Yr;He++)if(Oe.call(this,R,ae,we,Se,this.xCellCount*He+sa,pt,At,Bt))return}_convertToXCellCoord(R){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(R*this.xScale)))}_convertToYCellCoord(R){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(R*this.yScale)))}_circlesCollide(R,ae,we,Se,Oe,pt){let At=Se-R,Bt=Oe-ae,$t=we+pt;return $t*$t>At*At+Bt*Bt}_circleAndRectCollide(R,ae,we,Se,Oe,pt,At){let Bt=(pt-Se)/2,$t=Math.abs(R-(Se+Bt));if($t>Bt+we)return!1;let br=(At-Oe)/2,Ar=Math.abs(ae-(Oe+br));if(Ar>br+we)return!1;if($t<=Bt||Ar<=br)return!0;let Yr=$t-Bt,sa=Ar-br;return Yr*Yr+sa*sa<=we*we}}function wr(Ne,R,ae,we,Se){let Oe=t.H();return R?(t.K(Oe,Oe,[1/Se,1/Se,1]),ae||t.ad(Oe,Oe,we.angle)):t.L(Oe,we.labelPlaneMatrix,Ne),Oe}function Ir(Ne,R,ae,we,Se){if(R){let Oe=t.ae(Ne);return t.K(Oe,Oe,[Se,Se,1]),ae||t.ad(Oe,Oe,-we.angle),Oe}return we.glCoordMatrix}function bt(Ne,R,ae,we){let Se;we?(Se=[Ne,R,we(Ne,R),1],t.af(Se,Se,ae)):(Se=[Ne,R,0,1],Qt(Se,Se,ae));let Oe=Se[3];return{point:new t.P(Se[0]/Oe,Se[1]/Oe),signedDistanceFromCamera:Oe,isOccluded:!1}}function Be(Ne,R){return .5+Ne/R*.5}function Ke(Ne,R){return Ne.x>=-R[0]&&Ne.x<=R[0]&&Ne.y>=-R[1]&&Ne.y<=R[1]}function Ue(Ne,R,ae,we,Se,Oe,pt,At,Bt,$t,br,Ar,Yr,sa,He){let Je=we?Ne.textSizeData:Ne.iconSizeData,ut=t.ag(Je,ae.transform.zoom),dt=[256/ae.width*2+1,256/ae.height*2+1],Ct=we?Ne.text.dynamicLayoutVertexArray:Ne.icon.dynamicLayoutVertexArray;Ct.clear();let wt=Ne.lineVertexArray,Dt=we?Ne.text.placedSymbolArray:Ne.icon.placedSymbolArray,ur=ae.transform.width/ae.transform.height,mr=!1;for(let Er=0;Er<Dt.length;Er++){let Br=Dt.get(Er);if(Br.hidden||Br.writingMode===t.ah.vertical&&!mr){rr(Br.numGlyphs,Ct);continue}mr=!1;let Qr=bt(Br.anchorX,Br.anchorY,R,He);if(!Ke(Qr.point,dt)){rr(Br.numGlyphs,Ct);continue}let ga=Be(ae.transform.cameraToCenterDistance,Qr.signedDistanceFromCamera),Sa=t.ai(Je,ut,Br),Oa=pt?Sa/ga:Sa*ga,di={getElevation:He,labelPlaneMatrix:Se,lineVertexArray:wt,pitchWithMap:pt,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:$t,tileAnchorPoint:new t.P(Br.anchorX,Br.anchorY),unwrappedTileID:br,width:Ar,height:Yr,translation:sa},Wi=Ce(di,Br,Oa,!1,At,R,Oe,Ne.glyphOffsetArray,Ct,ur,Bt);mr=Wi.useVertical,(Wi.notEnoughRoom||mr||Wi.needsFlipping&&Ce(di,Br,Oa,!0,At,R,Oe,Ne.glyphOffsetArray,Ct,ur,Bt).notEnoughRoom)&&rr(Br.numGlyphs,Ct)}we?Ne.text.dynamicLayoutVertexBuffer.updateData(Ct):Ne.icon.dynamicLayoutVertexBuffer.updateData(Ct)}function Me(Ne,R,ae,we,Se,Oe,pt,At){let Bt=Oe.glyphStartIndex+Oe.numGlyphs,$t=Oe.lineStartIndex,br=Oe.lineStartIndex+Oe.lineLength,Ar=R.getoffsetX(Oe.glyphStartIndex),Yr=R.getoffsetX(Bt-1),sa=Ot(Ne*Ar,ae,we,Se,Oe.segment,$t,br,At,pt);if(!sa)return null;let He=Ot(Ne*Yr,ae,we,Se,Oe.segment,$t,br,At,pt);return He?At.projectionCache.anyProjectionOccluded?null:{first:sa,last:He}:null}function qe(Ne,R,ae,we){return Ne===t.ah.horizontal&&Math.abs(ae.y-R.y)>Math.abs(ae.x-R.x)*we?{useVertical:!0}:(Ne===t.ah.vertical?R.y<ae.y:R.x>ae.x)?{needsFlipping:!0}:null}function Ce(Ne,R,ae,we,Se,Oe,pt,At,Bt,$t,br){let Ar=ae/24,Yr=R.lineOffsetX*Ar,sa=R.lineOffsetY*Ar,He;if(R.numGlyphs>1){let Je=R.glyphStartIndex+R.numGlyphs,ut=R.lineStartIndex,dt=R.lineStartIndex+R.lineLength,Ct=Me(Ar,At,Yr,sa,we,R,br,Ne);if(!Ct)return{notEnoughRoom:!0};let wt=bt(Ct.first.point.x,Ct.first.point.y,pt,Ne.getElevation).point,Dt=bt(Ct.last.point.x,Ct.last.point.y,pt,Ne.getElevation).point;if(Se&&!we){let ur=qe(R.writingMode,wt,Dt,$t);if(ur)return ur}He=[Ct.first];for(let ur=R.glyphStartIndex+1;ur<Je-1;ur++)He.push(Ot(Ar*At.getoffsetX(ur),Yr,sa,we,R.segment,ut,dt,Ne,br));He.push(Ct.last)}else{if(Se&&!we){let ut=bt(Ne.tileAnchorPoint.x,Ne.tileAnchorPoint.y,Oe,Ne.getElevation).point,dt=R.lineStartIndex+R.segment+1,Ct=new t.P(Ne.lineVertexArray.getx(dt),Ne.lineVertexArray.gety(dt)),wt=bt(Ct.x,Ct.y,Oe,Ne.getElevation),Dt=wt.signedDistanceFromCamera>0?wt.point:function(mr,Er,Br,Qr,ga,Sa){return Te(mr,Er,Br,1,ga,Sa)}(Ne.tileAnchorPoint,Ct,ut,0,Oe,Ne),ur=qe(R.writingMode,ut,Dt,$t);if(ur)return ur}let Je=Ot(Ar*At.getoffsetX(R.glyphStartIndex),Yr,sa,we,R.segment,R.lineStartIndex,R.lineStartIndex+R.lineLength,Ne,br);if(!Je||Ne.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};He=[Je]}for(let Je of He)t.aj(Bt,Je.point,Je.angle);return{}}function Te(Ne,R,ae,we,Se,Oe){let pt=Ne.add(Ne.sub(R)._unit()),At=Se!==void 0?bt(pt.x,pt.y,Se,Oe.getElevation).point:at(pt.x,pt.y,Oe).point,Bt=ae.sub(At);return ae.add(Bt._mult(we/Bt.mag()))}function Pe(Ne,R,ae){let we=R.projectionCache;if(we.projections[Ne])return we.projections[Ne];let Se=new t.P(R.lineVertexArray.getx(Ne),R.lineVertexArray.gety(Ne)),Oe=at(Se.x,Se.y,R);if(Oe.signedDistanceFromCamera>0)return we.projections[Ne]=Oe.point,we.anyProjectionOccluded=we.anyProjectionOccluded||Oe.isOccluded,Oe.point;let pt=Ne-ae.direction;return function(At,Bt,$t,br,Ar){return Te(At,Bt,$t,br,void 0,Ar)}(ae.distanceFromAnchor===0?R.tileAnchorPoint:new t.P(R.lineVertexArray.getx(pt),R.lineVertexArray.gety(pt)),Se,ae.previousVertex,ae.absOffsetX-ae.distanceFromAnchor+1,R)}function at(Ne,R,ae){let we=Ne+ae.translation[0],Se=R+ae.translation[1],Oe;return!ae.pitchWithMap&&ae.projection.useSpecialProjectionForSymbols?(Oe=ae.projection.projectTileCoordinates(we,Se,ae.unwrappedTileID,ae.getElevation),Oe.point.x=(.5*Oe.point.x+.5)*ae.width,Oe.point.y=(.5*-Oe.point.y+.5)*ae.height):(Oe=bt(we,Se,ae.labelPlaneMatrix,ae.getElevation),Oe.isOccluded=!1),Oe}function yt(Ne,R,ae){return Ne._unit()._perp()._mult(R*ae)}function Tt(Ne,R,ae,we,Se,Oe,pt,At,Bt){if(At.projectionCache.offsets[Ne])return At.projectionCache.offsets[Ne];let $t=ae.add(R);if(Ne+Bt.direction<we||Ne+Bt.direction>=Se)return At.projectionCache.offsets[Ne]=$t,$t;let br=Pe(Ne+Bt.direction,At,Bt),Ar=yt(br.sub(ae),pt,Bt.direction),Yr=ae.add(Ar),sa=br.add(Ar);return At.projectionCache.offsets[Ne]=t.ak(Oe,$t,Yr,sa)||$t,At.projectionCache.offsets[Ne]}function Ot(Ne,R,ae,we,Se,Oe,pt,At,Bt){let $t=we?Ne-R:Ne+R,br=$t>0?1:-1,Ar=0;we&&(br*=-1,Ar=Math.PI),br<0&&(Ar+=Math.PI);let Yr,sa=br>0?Oe+Se:Oe+Se+1;At.projectionCache.cachedAnchorPoint?Yr=At.projectionCache.cachedAnchorPoint:(Yr=at(At.tileAnchorPoint.x,At.tileAnchorPoint.y,At).point,At.projectionCache.cachedAnchorPoint=Yr);let He,Je,ut=Yr,dt=Yr,Ct=0,wt=0,Dt=Math.abs($t),ur=[],mr;for(;Ct+wt<=Dt;){if(sa+=br,sa<Oe||sa>=pt)return null;Ct+=wt,dt=ut,Je=He;let Qr={absOffsetX:Dt,direction:br,distanceFromAnchor:Ct,previousVertex:dt};if(ut=Pe(sa,At,Qr),ae===0)ur.push(dt),mr=ut.sub(dt);else{let ga,Sa=ut.sub(dt);ga=Sa.mag()===0?yt(Pe(sa+br,At,Qr).sub(ut),ae,br):yt(Sa,ae,br),Je||(Je=dt.add(ga)),He=Tt(sa,ga,ut,Oe,pt,Je,ae,At,Qr),ur.push(Je),mr=He.sub(Je)}wt=mr.mag()}let Er=mr._mult((Dt-Ct)/wt)._add(Je||dt),Br=Ar+Math.atan2(ut.y-dt.y,ut.x-dt.x);return ur.push(Er),{point:Er,angle:Bt?Br:0,path:ur}}let Gt=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function rr(Ne,R){for(let ae=0;ae<Ne;ae++){let we=R.length;R.resize(we+4),R.float32.set(Gt,3*we)}}function Qt(Ne,R,ae){let we=R[0],Se=R[1];return Ne[0]=ae[0]*we+ae[4]*Se+ae[12],Ne[1]=ae[1]*we+ae[5]*Se+ae[13],Ne[3]=ae[3]*we+ae[7]*Se+ae[15],Ne}let Tr=100;class la{constructor(R,ae,we=new jr(R.width+200,R.height+200,25),Se=new jr(R.width+200,R.height+200,25)){this.transform=R,this.mapProjection=ae,this.grid=we,this.ignoredGrid=Se,this.pitchFactor=Math.cos(R._pitch)*R.cameraToCenterDistance,this.screenRightBoundary=R.width+Tr,this.screenBottomBoundary=R.height+Tr,this.gridRightBoundary=R.width+200,this.gridBottomBoundary=R.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(R,ae,we,Se,Oe,pt,At,Bt,$t,br,Ar){let Yr=R.anchorPointX+Bt[0],sa=R.anchorPointY+Bt[1],He=this.projectAndGetPerspectiveRatio(Se,Yr,sa,Oe,br),Je=we*He.perspectiveRatio,ut;if(pt||At)ut=this._projectCollisionBox(R,Je,Se,Oe,pt,At,Bt,He,br,Ar);else{let ur=He.point.x+(Ar?Ar.x*Je:0),mr=He.point.y+(Ar?Ar.y*Je:0);ut={allPointsOccluded:!1,box:[ur+R.x1*Je,mr+R.y1*Je,ur+R.x2*Je,mr+R.y2*Je]}}let[dt,Ct,wt,Dt]=ut.box;return this.mapProjection.useSpecialProjectionForSymbols&&(pt?ut.allPointsOccluded:this.mapProjection.isOccluded(Yr,sa,Oe))||He.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(dt,Ct,wt,Dt)||ae!==\"always\"&&this.grid.hitTest(dt,Ct,wt,Dt,ae,$t)?{box:[dt,Ct,wt,Dt],placeable:!1,offscreen:!1}:{box:[dt,Ct,wt,Dt],placeable:!0,offscreen:this.isOffscreen(dt,Ct,wt,Dt)}}placeCollisionCircles(R,ae,we,Se,Oe,pt,At,Bt,$t,br,Ar,Yr,sa,He,Je,ut){let dt=[],Ct=new t.P(ae.anchorX,ae.anchorY),wt=this.getPerspectiveRatio(pt,Ct.x,Ct.y,At,ut),Dt=(Ar?Oe/wt:Oe*wt)/t.ap,ur={getElevation:ut,labelPlaneMatrix:Bt,lineVertexArray:we,pitchWithMap:Ar,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:Ct,unwrappedTileID:At,width:this.transform.width,height:this.transform.height,translation:Je},mr=Me(Dt,Se,ae.lineOffsetX*Dt,ae.lineOffsetY*Dt,!1,ae,!1,ur),Er=!1,Br=!1,Qr=!0;if(mr){let ga=.5*sa*wt+He,Sa=new t.P(-100,-100),Oa=new t.P(this.screenRightBoundary,this.screenBottomBoundary),di=new Sr,Wi=mr.first,Gi=mr.last,on=[];for(let Bn=Wi.path.length-1;Bn>=1;Bn--)on.push(Wi.path[Bn]);for(let Bn=1;Bn<Gi.path.length;Bn++)on.push(Gi.path[Bn]);let Tn=2.5*ga;if($t){let Bn=this.projectPathToScreenSpace(on,ur,$t);on=Bn.some(Ao=>Ao.signedDistanceFromCamera<=0)?[]:Bn.map(Ao=>Ao.point)}let Wn=[];if(on.length>0){let Bn=on[0].clone(),Ao=on[0].clone();for(let ss=1;ss<on.length;ss++)Bn.x=Math.min(Bn.x,on[ss].x),Bn.y=Math.min(Bn.y,on[ss].y),Ao.x=Math.max(Ao.x,on[ss].x),Ao.y=Math.max(Ao.y,on[ss].y);Wn=Bn.x>=Sa.x&&Ao.x<=Oa.x&&Bn.y>=Sa.y&&Ao.y<=Oa.y?[on]:Ao.x<Sa.x||Bn.x>Oa.x||Ao.y<Sa.y||Bn.y>Oa.y?[]:t.al([on],Sa.x,Sa.y,Oa.x,Oa.y)}for(let Bn of Wn){di.reset(Bn,.25*ga);let Ao=0;Ao=di.length<=.5*ga?1:Math.ceil(di.paddedLength/Tn)+1;for(let ss=0;ss<Ao;ss++){let So=ss/Math.max(Ao-1,1),Ko=di.lerp(So),hs=Ko.x+Tr,ll=Ko.y+Tr;dt.push(hs,ll,ga,0);let Js=hs-ga,es=ll-ga,ts=hs+ga,Pl=ll+ga;if(Qr=Qr&&this.isOffscreen(Js,es,ts,Pl),Br=Br||this.isInsideGrid(Js,es,ts,Pl),R!==\"always\"&&this.grid.hitTestCircle(hs,ll,ga,R,Yr)&&(Er=!0,!br))return{circles:[],offscreen:!1,collisionDetected:Er}}}}return{circles:!br&&Er||!Br||wt<this.perspectiveRatioCutoff?[]:dt,offscreen:Qr,collisionDetected:Er}}projectPathToScreenSpace(R,ae,we){return R.map(Se=>bt(Se.x,Se.y,we,ae.getElevation))}queryRenderedSymbols(R){if(R.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};let ae=[],we=1/0,Se=1/0,Oe=-1/0,pt=-1/0;for(let br of R){let Ar=new t.P(br.x+Tr,br.y+Tr);we=Math.min(we,Ar.x),Se=Math.min(Se,Ar.y),Oe=Math.max(Oe,Ar.x),pt=Math.max(pt,Ar.y),ae.push(Ar)}let At=this.grid.query(we,Se,Oe,pt).concat(this.ignoredGrid.query(we,Se,Oe,pt)),Bt={},$t={};for(let br of At){let Ar=br.key;if(Bt[Ar.bucketInstanceId]===void 0&&(Bt[Ar.bucketInstanceId]={}),Bt[Ar.bucketInstanceId][Ar.featureIndex])continue;let Yr=[new t.P(br.x1,br.y1),new t.P(br.x2,br.y1),new t.P(br.x2,br.y2),new t.P(br.x1,br.y2)];t.am(ae,Yr)&&(Bt[Ar.bucketInstanceId][Ar.featureIndex]=!0,$t[Ar.bucketInstanceId]===void 0&&($t[Ar.bucketInstanceId]=[]),$t[Ar.bucketInstanceId].push(Ar.featureIndex))}return $t}insertCollisionBox(R,ae,we,Se,Oe,pt){(we?this.ignoredGrid:this.grid).insert({bucketInstanceId:Se,featureIndex:Oe,collisionGroupID:pt,overlapMode:ae},R[0],R[1],R[2],R[3])}insertCollisionCircles(R,ae,we,Se,Oe,pt){let At=we?this.ignoredGrid:this.grid,Bt={bucketInstanceId:Se,featureIndex:Oe,collisionGroupID:pt,overlapMode:ae};for(let $t=0;$t<R.length;$t+=4)At.insertCircle(Bt,R[$t],R[$t+1],R[$t+2])}projectAndGetPerspectiveRatio(R,ae,we,Se,Oe){let pt;Oe?(pt=[ae,we,Oe(ae,we),1],t.af(pt,pt,R)):(pt=[ae,we,0,1],Qt(pt,pt,R));let At=pt[3];return{point:new t.P((pt[0]/At+1)/2*this.transform.width+Tr,(-pt[1]/At+1)/2*this.transform.height+Tr),perspectiveRatio:.5+this.transform.cameraToCenterDistance/At*.5,isOccluded:!1,signedDistanceFromCamera:At}}getPerspectiveRatio(R,ae,we,Se,Oe){let pt=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(ae,we,Se,Oe):bt(ae,we,R,Oe);return .5+this.transform.cameraToCenterDistance/pt.signedDistanceFromCamera*.5}isOffscreen(R,ae,we,Se){return we<Tr||R>=this.screenRightBoundary||Se<Tr||ae>this.screenBottomBoundary}isInsideGrid(R,ae,we,Se){return we>=0&&R<this.gridRightBoundary&&Se>=0&&ae<this.gridBottomBoundary}getViewportMatrix(){let R=t.an([]);return t.J(R,R,[-100,-100,0]),R}_projectCollisionBox(R,ae,we,Se,Oe,pt,At,Bt,$t,br){let Ar=new t.P(1,0),Yr=new t.P(0,1),sa=new t.P(R.anchorPointX+At[0],R.anchorPointY+At[1]);if(pt&&!Oe){let Qr=this.projectAndGetPerspectiveRatio(we,sa.x+1,sa.y,Se,$t).point.sub(Bt.point).unit(),ga=Math.atan(Qr.y/Qr.x)+(Qr.x<0?Math.PI:0),Sa=Math.sin(ga),Oa=Math.cos(ga);Ar=new t.P(Oa,Sa),Yr=new t.P(-Sa,Oa)}else if(!pt&&Oe){let Qr=-this.transform.angle,ga=Math.sin(Qr),Sa=Math.cos(Qr);Ar=new t.P(Sa,ga),Yr=new t.P(-ga,Sa)}let He=Bt.point,Je=ae;if(Oe){He=sa;let Qr=this.transform.zoom-Math.floor(this.transform.zoom);Je=Math.pow(2,-Qr),Je*=this.mapProjection.getPitchedTextCorrection(this.transform,sa,Se),br||(Je*=t.ac(.5+Bt.signedDistanceFromCamera/this.transform.cameraToCenterDistance*.5,0,4))}br&&(He=He.add(Ar.mult(br.x*Je)).add(Yr.mult(br.y*Je)));let ut=R.x1*Je,dt=R.x2*Je,Ct=(ut+dt)/2,wt=R.y1*Je,Dt=R.y2*Je,ur=(wt+Dt)/2,mr=[{offsetX:ut,offsetY:wt},{offsetX:Ct,offsetY:wt},{offsetX:dt,offsetY:wt},{offsetX:dt,offsetY:ur},{offsetX:dt,offsetY:Dt},{offsetX:Ct,offsetY:Dt},{offsetX:ut,offsetY:Dt},{offsetX:ut,offsetY:ur}],Er=[];for(let{offsetX:Qr,offsetY:ga}of mr)Er.push(new t.P(He.x+Ar.x*Qr+Yr.x*ga,He.y+Ar.y*Qr+Yr.y*ga));let Br=!1;if(Oe){let Qr=Er.map(ga=>this.projectAndGetPerspectiveRatio(we,ga.x,ga.y,Se,$t));Br=Qr.some(ga=>!ga.isOccluded),Er=Qr.map(ga=>ga.point)}else Br=!0;return{box:t.ao(Er),allPointsOccluded:!Br}}}function Ua(Ne,R,ae){return R*(t.X/(Ne.tileSize*Math.pow(2,ae-Ne.tileID.overscaledZ)))}class Ba{constructor(R,ae,we,Se){this.opacity=R?Math.max(0,Math.min(1,R.opacity+(R.placed?ae:-ae))):Se&&we?1:0,this.placed=we}isHidden(){return this.opacity===0&&!this.placed}}class Ra{constructor(R,ae,we,Se,Oe){this.text=new Ba(R?R.text:null,ae,we,Oe),this.icon=new Ba(R?R.icon:null,ae,Se,Oe)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class ei{constructor(R,ae,we){this.text=R,this.icon=ae,this.skipFade=we}}class za{constructor(){this.invProjMatrix=t.H(),this.viewportMatrix=t.H(),this.circles=[]}}class ti{constructor(R,ae,we,Se,Oe){this.bucketInstanceId=R,this.featureIndex=ae,this.sourceLayerIndex=we,this.bucketIndex=Se,this.tileID=Oe}}class Ci{constructor(R){this.crossSourceCollisions=R,this.maxGroupID=0,this.collisionGroups={}}get(R){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[R]){let ae=++this.maxGroupID;this.collisionGroups[R]={ID:ae,predicate:we=>we.collisionGroupID===ae}}return this.collisionGroups[R]}}function Jt(Ne,R,ae,we,Se){let{horizontalAlign:Oe,verticalAlign:pt}=t.au(Ne);return new t.P(-(Oe-.5)*R+we[0]*Se,-(pt-.5)*ae+we[1]*Se)}class Nt{constructor(R,ae,we,Se,Oe,pt){this.transform=R.clone(),this.terrain=we,this.collisionIndex=new la(this.transform,ae),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=Se,this.retainedQueryData={},this.collisionGroups=new Ci(Oe),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=pt,pt&&(pt.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(R){let ae=this.terrain;return ae?(we,Se)=>ae.getElevation(R,we,Se):null}getBucketParts(R,ae,we,Se){let Oe=we.getBucket(ae),pt=we.latestFeatureIndex;if(!Oe||!pt||ae.id!==Oe.layerIds[0])return;let At=we.collisionBoxArray,Bt=Oe.layers[0].layout,$t=Oe.layers[0].paint,br=Math.pow(2,this.transform.zoom-we.tileID.overscaledZ),Ar=we.tileSize/t.X,Yr=we.tileID.toUnwrapped(),sa=this.transform.calculatePosMatrix(Yr),He=Bt.get(\"text-pitch-alignment\")===\"map\",Je=Bt.get(\"text-rotation-alignment\")===\"map\",ut=Ua(we,1,this.transform.zoom),dt=this.collisionIndex.mapProjection.translatePosition(this.transform,we,$t.get(\"text-translate\"),$t.get(\"text-translate-anchor\")),Ct=this.collisionIndex.mapProjection.translatePosition(this.transform,we,$t.get(\"icon-translate\"),$t.get(\"icon-translate-anchor\")),wt=wr(sa,He,Je,this.transform,ut),Dt=null;if(He){let mr=Ir(sa,He,Je,this.transform,ut);Dt=t.L([],this.transform.labelPlaneMatrix,mr)}this.retainedQueryData[Oe.bucketInstanceId]=new ti(Oe.bucketInstanceId,pt,Oe.sourceLayerIndex,Oe.index,we.tileID);let ur={bucket:Oe,layout:Bt,translationText:dt,translationIcon:Ct,posMatrix:sa,unwrappedTileID:Yr,textLabelPlaneMatrix:wt,labelToScreenMatrix:Dt,scale:br,textPixelRatio:Ar,holdingForFade:we.holdingForFade(),collisionBoxArray:At,partiallyEvaluatedTextSize:t.ag(Oe.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(Oe.sourceID)};if(Se)for(let mr of Oe.sortKeyRanges){let{sortKey:Er,symbolInstanceStart:Br,symbolInstanceEnd:Qr}=mr;R.push({sortKey:Er,symbolInstanceStart:Br,symbolInstanceEnd:Qr,parameters:ur})}else R.push({symbolInstanceStart:0,symbolInstanceEnd:Oe.symbolInstances.length,parameters:ur})}attemptAnchorPlacement(R,ae,we,Se,Oe,pt,At,Bt,$t,br,Ar,Yr,sa,He,Je,ut,dt,Ct,wt){let Dt=t.aq[R.textAnchor],ur=[R.textOffset0,R.textOffset1],mr=Jt(Dt,we,Se,ur,Oe),Er=this.collisionIndex.placeCollisionBox(ae,Yr,Bt,$t,br,At,pt,ut,Ar.predicate,wt,mr);if((!Ct||this.collisionIndex.placeCollisionBox(Ct,Yr,Bt,$t,br,At,pt,dt,Ar.predicate,wt,mr).placeable)&&Er.placeable){let Br;if(this.prevPlacement&&this.prevPlacement.variableOffsets[sa.crossTileID]&&this.prevPlacement.placements[sa.crossTileID]&&this.prevPlacement.placements[sa.crossTileID].text&&(Br=this.prevPlacement.variableOffsets[sa.crossTileID].anchor),sa.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[sa.crossTileID]={textOffset:ur,width:we,height:Se,anchor:Dt,textBoxScale:Oe,prevAnchor:Br},this.markUsedJustification(He,Dt,sa,Je),He.allowVerticalPlacement&&(this.markUsedOrientation(He,Je,sa),this.placedOrientations[sa.crossTileID]=Je),{shift:mr,placedGlyphBoxes:Er}}}placeLayerBucketPart(R,ae,we){let{bucket:Se,layout:Oe,translationText:pt,translationIcon:At,posMatrix:Bt,unwrappedTileID:$t,textLabelPlaneMatrix:br,labelToScreenMatrix:Ar,textPixelRatio:Yr,holdingForFade:sa,collisionBoxArray:He,partiallyEvaluatedTextSize:Je,collisionGroup:ut}=R.parameters,dt=Oe.get(\"text-optional\"),Ct=Oe.get(\"icon-optional\"),wt=t.ar(Oe,\"text-overlap\",\"text-allow-overlap\"),Dt=wt===\"always\",ur=t.ar(Oe,\"icon-overlap\",\"icon-allow-overlap\"),mr=ur===\"always\",Er=Oe.get(\"text-rotation-alignment\")===\"map\",Br=Oe.get(\"text-pitch-alignment\")===\"map\",Qr=Oe.get(\"icon-text-fit\")!==\"none\",ga=Oe.get(\"symbol-z-order\")===\"viewport-y\",Sa=Dt&&(mr||!Se.hasIconData()||Ct),Oa=mr&&(Dt||!Se.hasTextData()||dt);!Se.collisionArrays&&He&&Se.deserializeCollisionBoxes(He);let di=this._getTerrainElevationFunc(this.retainedQueryData[Se.bucketInstanceId].tileID),Wi=(Gi,on,Tn)=>{var Wn,Bn;if(ae[Gi.crossTileID])return;if(sa)return void(this.placements[Gi.crossTileID]=new ei(!1,!1,!1));let Ao=!1,ss=!1,So=!0,Ko=null,hs={box:null,placeable:!1,offscreen:null},ll={box:null,placeable:!1,offscreen:null},Js=null,es=null,ts=null,Pl=0,$l=0,Ru=0;on.textFeatureIndex?Pl=on.textFeatureIndex:Gi.useRuntimeCollisionCircles&&(Pl=Gi.featureIndex),on.verticalTextFeatureIndex&&($l=on.verticalTextFeatureIndex);let hu=on.textBox;if(hu){let ql=et=>{let vt=t.ah.horizontal;if(Se.allowVerticalPlacement&&!et&&this.prevPlacement){let _t=this.prevPlacement.placedOrientations[Gi.crossTileID];_t&&(this.placedOrientations[Gi.crossTileID]=_t,vt=_t,this.markUsedOrientation(Se,vt,Gi))}return vt},Vl=(et,vt)=>{if(Se.allowVerticalPlacement&&Gi.numVerticalGlyphVertices>0&&on.verticalTextBox){for(let _t of Se.writingModes)if(_t===t.ah.vertical?(hs=vt(),ll=hs):hs=et(),hs&&hs.placeable)break}else hs=et()},de=Gi.textAnchorOffsetStartIndex,De=Gi.textAnchorOffsetEndIndex;if(De===de){let et=(vt,_t)=>{let St=this.collisionIndex.placeCollisionBox(vt,wt,Yr,Bt,$t,Br,Er,pt,ut.predicate,di);return St&&St.placeable&&(this.markUsedOrientation(Se,_t,Gi),this.placedOrientations[Gi.crossTileID]=_t),St};Vl(()=>et(hu,t.ah.horizontal),()=>{let vt=on.verticalTextBox;return Se.allowVerticalPlacement&&Gi.numVerticalGlyphVertices>0&&vt?et(vt,t.ah.vertical):{box:null,offscreen:null}}),ql(hs&&hs.placeable)}else{let et=t.aq[(Bn=(Wn=this.prevPlacement)===null||Wn===void 0?void 0:Wn.variableOffsets[Gi.crossTileID])===null||Bn===void 0?void 0:Bn.anchor],vt=(St,ar,zt)=>{let gr=St.x2-St.x1,Vr=St.y2-St.y1,Wr=Gi.textBoxScale,Ta=Qr&&ur===\"never\"?ar:null,ya=null,ri=wt===\"never\"?1:2,ni=\"never\";et&&ri++;for(let Ma=0;Ma<ri;Ma++){for(let Na=de;Na<De;Na++){let Ka=Se.textAnchorOffsets.get(Na);if(et&&Ka.textAnchor!==et)continue;let vi=this.attemptAnchorPlacement(Ka,St,gr,Vr,Wr,Er,Br,Yr,Bt,$t,ut,ni,Gi,Se,zt,pt,At,Ta,di);if(vi&&(ya=vi.placedGlyphBoxes,ya&&ya.placeable))return Ao=!0,Ko=vi.shift,ya}et?et=null:ni=wt}return we&&!ya&&(ya={box:this.collisionIndex.placeCollisionBox(hu,\"always\",Yr,Bt,$t,Br,Er,pt,ut.predicate,di,new t.P(0,0)).box,offscreen:!1,placeable:!1}),ya};Vl(()=>vt(hu,on.iconBox,t.ah.horizontal),()=>{let St=on.verticalTextBox;return Se.allowVerticalPlacement&&(!hs||!hs.placeable)&&Gi.numVerticalGlyphVertices>0&&St?vt(St,on.verticalIconBox,t.ah.vertical):{box:null,occluded:!0,offscreen:null}}),hs&&(Ao=hs.placeable,So=hs.offscreen);let _t=ql(hs&&hs.placeable);if(!Ao&&this.prevPlacement){let St=this.prevPlacement.variableOffsets[Gi.crossTileID];St&&(this.variableOffsets[Gi.crossTileID]=St,this.markUsedJustification(Se,St.anchor,Gi,_t))}}}if(Js=hs,Ao=Js&&Js.placeable,So=Js&&Js.offscreen,Gi.useRuntimeCollisionCircles){let ql=Se.text.placedSymbolArray.get(Gi.centerJustifiedTextSymbolIndex),Vl=t.ai(Se.textSizeData,Je,ql),de=Oe.get(\"text-padding\");es=this.collisionIndex.placeCollisionCircles(wt,ql,Se.lineVertexArray,Se.glyphOffsetArray,Vl,Bt,$t,br,Ar,we,Br,ut.predicate,Gi.collisionCircleDiameter,de,pt,di),es.circles.length&&es.collisionDetected&&!we&&t.w(\"Collisions detected, but collision boxes are not shown\"),Ao=Dt||es.circles.length>0&&!es.collisionDetected,So=So&&es.offscreen}if(on.iconFeatureIndex&&(Ru=on.iconFeatureIndex),on.iconBox){let ql=Vl=>this.collisionIndex.placeCollisionBox(Vl,ur,Yr,Bt,$t,Br,Er,At,ut.predicate,di,Qr&&Ko?Ko:void 0);ll&&ll.placeable&&on.verticalIconBox?(ts=ql(on.verticalIconBox),ss=ts.placeable):(ts=ql(on.iconBox),ss=ts.placeable),So=So&&ts.offscreen}let wl=dt||Gi.numHorizontalGlyphVertices===0&&Gi.numVerticalGlyphVertices===0,su=Ct||Gi.numIconVertices===0;wl||su?su?wl||(ss=ss&&Ao):Ao=ss&&Ao:ss=Ao=ss&&Ao;let uc=ss&&ts.placeable;if(Ao&&Js.placeable&&this.collisionIndex.insertCollisionBox(Js.box,wt,Oe.get(\"text-ignore-placement\"),Se.bucketInstanceId,ll&&ll.placeable&&$l?$l:Pl,ut.ID),uc&&this.collisionIndex.insertCollisionBox(ts.box,ur,Oe.get(\"icon-ignore-placement\"),Se.bucketInstanceId,Ru,ut.ID),es&&Ao&&this.collisionIndex.insertCollisionCircles(es.circles,wt,Oe.get(\"text-ignore-placement\"),Se.bucketInstanceId,Pl,ut.ID),we&&this.storeCollisionData(Se.bucketInstanceId,Tn,on,Js,ts,es),Gi.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(Se.bucketInstanceId===0)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[Gi.crossTileID]=new ei(Ao||Sa,ss||Oa,So||Se.justReloaded),ae[Gi.crossTileID]=!0};if(ga){if(R.symbolInstanceStart!==0)throw new Error(\"bucket.bucketInstanceId should be 0\");let Gi=Se.getSortedSymbolIndexes(this.transform.angle);for(let on=Gi.length-1;on>=0;--on){let Tn=Gi[on];Wi(Se.symbolInstances.get(Tn),Se.collisionArrays[Tn],Tn)}}else for(let Gi=R.symbolInstanceStart;Gi<R.symbolInstanceEnd;Gi++)Wi(Se.symbolInstances.get(Gi),Se.collisionArrays[Gi],Gi);if(we&&Se.bucketInstanceId in this.collisionCircleArrays){let Gi=this.collisionCircleArrays[Se.bucketInstanceId];t.as(Gi.invProjMatrix,Bt),Gi.viewportMatrix=this.collisionIndex.getViewportMatrix()}Se.justReloaded=!1}storeCollisionData(R,ae,we,Se,Oe,pt){if(we.textBox||we.iconBox){let At,Bt;this.collisionBoxArrays.has(R)?At=this.collisionBoxArrays.get(R):(At=new Map,this.collisionBoxArrays.set(R,At)),At.has(ae)?Bt=At.get(ae):(Bt={text:null,icon:null},At.set(ae,Bt)),we.textBox&&(Bt.text=Se.box),we.iconBox&&(Bt.icon=Oe.box)}if(pt){let At=this.collisionCircleArrays[R];At===void 0&&(At=this.collisionCircleArrays[R]=new za);for(let Bt=0;Bt<pt.circles.length;Bt+=4)At.circles.push(pt.circles[Bt+0]),At.circles.push(pt.circles[Bt+1]),At.circles.push(pt.circles[Bt+2]),At.circles.push(pt.collisionDetected?1:0)}}markUsedJustification(R,ae,we,Se){let Oe;Oe=Se===t.ah.vertical?we.verticalPlacedTextSymbolIndex:{left:we.leftJustifiedTextSymbolIndex,center:we.centerJustifiedTextSymbolIndex,right:we.rightJustifiedTextSymbolIndex}[t.at(ae)];let pt=[we.leftJustifiedTextSymbolIndex,we.centerJustifiedTextSymbolIndex,we.rightJustifiedTextSymbolIndex,we.verticalPlacedTextSymbolIndex];for(let At of pt)At>=0&&(R.text.placedSymbolArray.get(At).crossTileID=Oe>=0&&At!==Oe?0:we.crossTileID)}markUsedOrientation(R,ae,we){let Se=ae===t.ah.horizontal||ae===t.ah.horizontalOnly?ae:0,Oe=ae===t.ah.vertical?ae:0,pt=[we.leftJustifiedTextSymbolIndex,we.centerJustifiedTextSymbolIndex,we.rightJustifiedTextSymbolIndex];for(let At of pt)R.text.placedSymbolArray.get(At).placedOrientation=Se;we.verticalPlacedTextSymbolIndex&&(R.text.placedSymbolArray.get(we.verticalPlacedTextSymbolIndex).placedOrientation=Oe)}commit(R){this.commitTime=R,this.zoomAtLastRecencyCheck=this.transform.zoom;let ae=this.prevPlacement,we=!1;this.prevZoomAdjustment=ae?ae.zoomAdjustment(this.transform.zoom):0;let Se=ae?ae.symbolFadeChange(R):1,Oe=ae?ae.opacities:{},pt=ae?ae.variableOffsets:{},At=ae?ae.placedOrientations:{};for(let Bt in this.placements){let $t=this.placements[Bt],br=Oe[Bt];br?(this.opacities[Bt]=new Ra(br,Se,$t.text,$t.icon),we=we||$t.text!==br.text.placed||$t.icon!==br.icon.placed):(this.opacities[Bt]=new Ra(null,Se,$t.text,$t.icon,$t.skipFade),we=we||$t.text||$t.icon)}for(let Bt in Oe){let $t=Oe[Bt];if(!this.opacities[Bt]){let br=new Ra($t,Se,!1,!1);br.isHidden()||(this.opacities[Bt]=br,we=we||$t.text.placed||$t.icon.placed)}}for(let Bt in pt)this.variableOffsets[Bt]||!this.opacities[Bt]||this.opacities[Bt].isHidden()||(this.variableOffsets[Bt]=pt[Bt]);for(let Bt in At)this.placedOrientations[Bt]||!this.opacities[Bt]||this.opacities[Bt].isHidden()||(this.placedOrientations[Bt]=At[Bt]);if(ae&&ae.lastPlacementChangeTime===void 0)throw new Error(\"Last placement time for previous placement is not defined\");we?this.lastPlacementChangeTime=R:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=ae?ae.lastPlacementChangeTime:R)}updateLayerOpacities(R,ae){let we={};for(let Se of ae){let Oe=Se.getBucket(R);Oe&&Se.latestFeatureIndex&&R.id===Oe.layerIds[0]&&this.updateBucketOpacities(Oe,Se.tileID,we,Se.collisionBoxArray)}}updateBucketOpacities(R,ae,we,Se){R.hasTextData()&&(R.text.opacityVertexArray.clear(),R.text.hasVisibleVertices=!1),R.hasIconData()&&(R.icon.opacityVertexArray.clear(),R.icon.hasVisibleVertices=!1),R.hasIconCollisionBoxData()&&R.iconCollisionBox.collisionVertexArray.clear(),R.hasTextCollisionBoxData()&&R.textCollisionBox.collisionVertexArray.clear();let Oe=R.layers[0],pt=Oe.layout,At=new Ra(null,0,!1,!1,!0),Bt=pt.get(\"text-allow-overlap\"),$t=pt.get(\"icon-allow-overlap\"),br=Oe._unevaluatedLayout.hasValue(\"text-variable-anchor\")||Oe._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),Ar=pt.get(\"text-rotation-alignment\")===\"map\",Yr=pt.get(\"text-pitch-alignment\")===\"map\",sa=pt.get(\"icon-text-fit\")!==\"none\",He=new Ra(null,0,Bt&&($t||!R.hasIconData()||pt.get(\"icon-optional\")),$t&&(Bt||!R.hasTextData()||pt.get(\"text-optional\")),!0);!R.collisionArrays&&Se&&(R.hasIconCollisionBoxData()||R.hasTextCollisionBoxData())&&R.deserializeCollisionBoxes(Se);let Je=(dt,Ct,wt)=>{for(let Dt=0;Dt<Ct/4;Dt++)dt.opacityVertexArray.emplaceBack(wt);dt.hasVisibleVertices=dt.hasVisibleVertices||wt!==ai},ut=this.collisionBoxArrays.get(R.bucketInstanceId);for(let dt=0;dt<R.symbolInstances.length;dt++){let Ct=R.symbolInstances.get(dt),{numHorizontalGlyphVertices:wt,numVerticalGlyphVertices:Dt,crossTileID:ur}=Ct,mr=this.opacities[ur];we[ur]?mr=At:mr||(mr=He,this.opacities[ur]=mr),we[ur]=!0;let Er=Ct.numIconVertices>0,Br=this.placedOrientations[Ct.crossTileID],Qr=Br===t.ah.vertical,ga=Br===t.ah.horizontal||Br===t.ah.horizontalOnly;if(wt>0||Dt>0){let Oa=$a(mr.text);Je(R.text,wt,Qr?ai:Oa),Je(R.text,Dt,ga?ai:Oa);let di=mr.text.isHidden();[Ct.rightJustifiedTextSymbolIndex,Ct.centerJustifiedTextSymbolIndex,Ct.leftJustifiedTextSymbolIndex].forEach(on=>{on>=0&&(R.text.placedSymbolArray.get(on).hidden=di||Qr?1:0)}),Ct.verticalPlacedTextSymbolIndex>=0&&(R.text.placedSymbolArray.get(Ct.verticalPlacedTextSymbolIndex).hidden=di||ga?1:0);let Wi=this.variableOffsets[Ct.crossTileID];Wi&&this.markUsedJustification(R,Wi.anchor,Ct,Br);let Gi=this.placedOrientations[Ct.crossTileID];Gi&&(this.markUsedJustification(R,\"left\",Ct,Gi),this.markUsedOrientation(R,Gi,Ct))}if(Er){let Oa=$a(mr.icon),di=!(sa&&Ct.verticalPlacedIconSymbolIndex&&Qr);Ct.placedIconSymbolIndex>=0&&(Je(R.icon,Ct.numIconVertices,di?Oa:ai),R.icon.placedSymbolArray.get(Ct.placedIconSymbolIndex).hidden=mr.icon.isHidden()),Ct.verticalPlacedIconSymbolIndex>=0&&(Je(R.icon,Ct.numVerticalIconVertices,di?ai:Oa),R.icon.placedSymbolArray.get(Ct.verticalPlacedIconSymbolIndex).hidden=mr.icon.isHidden())}let Sa=ut&&ut.has(dt)?ut.get(dt):{text:null,icon:null};if(R.hasIconCollisionBoxData()||R.hasTextCollisionBoxData()){let Oa=R.collisionArrays[dt];if(Oa){let di=new t.P(0,0);if(Oa.textBox||Oa.verticalTextBox){let Wi=!0;if(br){let Gi=this.variableOffsets[ur];Gi?(di=Jt(Gi.anchor,Gi.width,Gi.height,Gi.textOffset,Gi.textBoxScale),Ar&&di._rotate(Yr?this.transform.angle:-this.transform.angle)):Wi=!1}if(Oa.textBox||Oa.verticalTextBox){let Gi;Oa.textBox&&(Gi=Qr),Oa.verticalTextBox&&(Gi=ga),Kt(R.textCollisionBox.collisionVertexArray,mr.text.placed,!Wi||Gi,Sa.text,di.x,di.y)}}if(Oa.iconBox||Oa.verticalIconBox){let Wi=!!(!ga&&Oa.verticalIconBox),Gi;Oa.iconBox&&(Gi=Wi),Oa.verticalIconBox&&(Gi=!Wi),Kt(R.iconCollisionBox.collisionVertexArray,mr.icon.placed,Gi,Sa.icon,sa?di.x:0,sa?di.y:0)}}}}if(R.sortFeatures(this.transform.angle),this.retainedQueryData[R.bucketInstanceId]&&(this.retainedQueryData[R.bucketInstanceId].featureSortOrder=R.featureSortOrder),R.hasTextData()&&R.text.opacityVertexBuffer&&R.text.opacityVertexBuffer.updateData(R.text.opacityVertexArray),R.hasIconData()&&R.icon.opacityVertexBuffer&&R.icon.opacityVertexBuffer.updateData(R.icon.opacityVertexArray),R.hasIconCollisionBoxData()&&R.iconCollisionBox.collisionVertexBuffer&&R.iconCollisionBox.collisionVertexBuffer.updateData(R.iconCollisionBox.collisionVertexArray),R.hasTextCollisionBoxData()&&R.textCollisionBox.collisionVertexBuffer&&R.textCollisionBox.collisionVertexBuffer.updateData(R.textCollisionBox.collisionVertexArray),R.text.opacityVertexArray.length!==R.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${R.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${R.text.layoutVertexArray.length}) / 4`);if(R.icon.opacityVertexArray.length!==R.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${R.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${R.icon.layoutVertexArray.length}) / 4`);if(R.bucketInstanceId in this.collisionCircleArrays){let dt=this.collisionCircleArrays[R.bucketInstanceId];R.placementInvProjMatrix=dt.invProjMatrix,R.placementViewportMatrix=dt.viewportMatrix,R.collisionCircleArray=dt.circles,delete this.collisionCircleArrays[R.bucketInstanceId]}}symbolFadeChange(R){return this.fadeDuration===0?1:(R-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(R){return Math.max(0,(this.transform.zoom-R)/1.5)}hasTransitions(R){return this.stale||R-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(R,ae){let we=this.zoomAtLastRecencyCheck===ae?1-this.zoomAdjustment(ae):1;return this.zoomAtLastRecencyCheck=ae,this.commitTime+this.fadeDuration*we>R}setStale(){this.stale=!0}}function Kt(Ne,R,ae,we,Se,Oe){we&&we.length!==0||(we=[0,0,0,0]);let pt=we[0]-Tr,At=we[1]-Tr,Bt=we[2]-Tr,$t=we[3]-Tr;Ne.emplaceBack(R?1:0,ae?1:0,Se||0,Oe||0,pt,At),Ne.emplaceBack(R?1:0,ae?1:0,Se||0,Oe||0,Bt,At),Ne.emplaceBack(R?1:0,ae?1:0,Se||0,Oe||0,Bt,$t),Ne.emplaceBack(R?1:0,ae?1:0,Se||0,Oe||0,pt,$t)}let Wt=Math.pow(2,25),Pr=Math.pow(2,24),ta=Math.pow(2,17),ma=Math.pow(2,16),ra=Math.pow(2,9),Ia=Math.pow(2,8),Ha=Math.pow(2,1);function $a(Ne){if(Ne.opacity===0&&!Ne.placed)return 0;if(Ne.opacity===1&&Ne.placed)return 4294967295;let R=Ne.placed?1:0,ae=Math.floor(127*Ne.opacity);return ae*Wt+R*Pr+ae*ta+R*ma+ae*ra+R*Ia+ae*Ha+R}let ai=0;function mi(){return{isOccluded:(Ne,R,ae)=>!1,getPitchedTextCorrection:(Ne,R,ae)=>1,get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(Ne,R,ae,we){throw new Error(\"Not implemented.\")},translatePosition:(Ne,R,ae,we)=>function(Se,Oe,pt,At,Bt=!1){if(!pt[0]&&!pt[1])return[0,0];let $t=Bt?At===\"map\"?Se.angle:0:At===\"viewport\"?-Se.angle:0;if($t){let br=Math.sin($t),Ar=Math.cos($t);pt=[pt[0]*Ar-pt[1]*br,pt[0]*br+pt[1]*Ar]}return[Bt?pt[0]:Ua(Oe,pt[0],Se.zoom),Bt?pt[1]:Ua(Oe,pt[1],Se.zoom)]}(Ne,R,ae,we),getCircleRadiusCorrection:Ne=>1}}class xt{constructor(R){this._sortAcrossTiles=R.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&!R.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(R,ae,we,Se,Oe){let pt=this._bucketParts;for(;this._currentTileIndex<R.length;)if(ae.getBucketParts(pt,Se,R[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,Oe())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,pt.sort((At,Bt)=>At.sortKey-Bt.sortKey));this._currentPartIndex<pt.length;)if(ae.placeLayerBucketPart(pt[this._currentPartIndex],this._seenCrossTileIDs,we),this._currentPartIndex++,Oe())return!0;return!1}}class ct{constructor(R,ae,we,Se,Oe,pt,At,Bt){this.placement=new Nt(R,mi(),ae,pt,At,Bt),this._currentPlacementIndex=we.length-1,this._forceFullPlacement=Se,this._showCollisionBoxes=Oe,this._done=!1}isDone(){return this._done}continuePlacement(R,ae,we){let Se=i.now(),Oe=()=>!this._forceFullPlacement&&i.now()-Se>2;for(;this._currentPlacementIndex>=0;){let pt=ae[R[this._currentPlacementIndex]],At=this.placement.collisionIndex.transform.zoom;if(pt.type===\"symbol\"&&(!pt.minzoom||pt.minzoom<=At)&&(!pt.maxzoom||pt.maxzoom>At)){if(this._inProgressLayer||(this._inProgressLayer=new xt(pt)),this._inProgressLayer.continuePlacement(we[pt.source],this.placement,this._showCollisionBoxes,pt,Oe))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(R){return this.placement.commit(R),this.placement}}let Nr=512/t.X/2;class Or{constructor(R,ae,we){this.tileID=R,this.bucketInstanceId=we,this._symbolsByKey={};let Se=new Map;for(let Oe=0;Oe<ae.length;Oe++){let pt=ae.get(Oe),At=pt.key,Bt=Se.get(At);Bt?Bt.push(pt):Se.set(At,[pt])}for(let[Oe,pt]of Se){let At={positions:pt.map(Bt=>({x:Math.floor(Bt.anchorX*Nr),y:Math.floor(Bt.anchorY*Nr)})),crossTileIDs:pt.map(Bt=>Bt.crossTileID)};if(At.positions.length>128){let Bt=new t.av(At.positions.length,16,Uint16Array);for(let{x:$t,y:br}of At.positions)Bt.add($t,br);Bt.finish(),delete At.positions,At.index=Bt}this._symbolsByKey[Oe]=At}}getScaledCoordinates(R,ae){let{x:we,y:Se,z:Oe}=this.tileID.canonical,{x:pt,y:At,z:Bt}=ae.canonical,$t=Nr/Math.pow(2,Bt-Oe),br=(At*t.X+R.anchorY)*$t,Ar=Se*t.X*Nr;return{x:Math.floor((pt*t.X+R.anchorX)*$t-we*t.X*Nr),y:Math.floor(br-Ar)}}findMatches(R,ae,we){let Se=this.tileID.canonical.z<ae.canonical.z?1:Math.pow(2,this.tileID.canonical.z-ae.canonical.z);for(let Oe=0;Oe<R.length;Oe++){let pt=R.get(Oe);if(pt.crossTileID)continue;let At=this._symbolsByKey[pt.key];if(!At)continue;let Bt=this.getScaledCoordinates(pt,ae);if(At.index){let $t=At.index.range(Bt.x-Se,Bt.y-Se,Bt.x+Se,Bt.y+Se).sort();for(let br of $t){let Ar=At.crossTileIDs[br];if(!we[Ar]){we[Ar]=!0,pt.crossTileID=Ar;break}}}else if(At.positions)for(let $t=0;$t<At.positions.length;$t++){let br=At.positions[$t],Ar=At.crossTileIDs[$t];if(Math.abs(br.x-Bt.x)<=Se&&Math.abs(br.y-Bt.y)<=Se&&!we[Ar]){we[Ar]=!0,pt.crossTileID=Ar;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map(({crossTileIDs:R})=>R)}}class Rr{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class Lr{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(R){let ae=Math.round((R-this.lng)/360);if(ae!==0)for(let we in this.indexes){let Se=this.indexes[we],Oe={};for(let pt in Se){let At=Se[pt];At.tileID=At.tileID.unwrapTo(At.tileID.wrap+ae),Oe[At.tileID.key]=At}this.indexes[we]=Oe}this.lng=R}addBucket(R,ae,we){if(this.indexes[R.overscaledZ]&&this.indexes[R.overscaledZ][R.key]){if(this.indexes[R.overscaledZ][R.key].bucketInstanceId===ae.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(R.overscaledZ,this.indexes[R.overscaledZ][R.key])}for(let Oe=0;Oe<ae.symbolInstances.length;Oe++)ae.symbolInstances.get(Oe).crossTileID=0;this.usedCrossTileIDs[R.overscaledZ]||(this.usedCrossTileIDs[R.overscaledZ]={});let Se=this.usedCrossTileIDs[R.overscaledZ];for(let Oe in this.indexes){let pt=this.indexes[Oe];if(Number(Oe)>R.overscaledZ)for(let At in pt){let Bt=pt[At];Bt.tileID.isChildOf(R)&&Bt.findMatches(ae.symbolInstances,R,Se)}else{let At=pt[R.scaledTo(Number(Oe)).key];At&&At.findMatches(ae.symbolInstances,R,Se)}}for(let Oe=0;Oe<ae.symbolInstances.length;Oe++){let pt=ae.symbolInstances.get(Oe);pt.crossTileID||(pt.crossTileID=we.generate(),Se[pt.crossTileID]=!0)}return this.indexes[R.overscaledZ]===void 0&&(this.indexes[R.overscaledZ]={}),this.indexes[R.overscaledZ][R.key]=new Or(R,ae.symbolInstances,ae.bucketInstanceId),!0}removeBucketCrossTileIDs(R,ae){for(let we of ae.getCrossTileIDsLists())for(let Se of we)delete this.usedCrossTileIDs[R][Se]}removeStaleBuckets(R){let ae=!1;for(let we in this.indexes){let Se=this.indexes[we];for(let Oe in Se)R[Se[Oe].bucketInstanceId]||(this.removeBucketCrossTileIDs(we,Se[Oe]),delete Se[Oe],ae=!0)}return ae}}class Gr{constructor(){this.layerIndexes={},this.crossTileIDs=new Rr,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(R,ae,we){let Se=this.layerIndexes[R.id];Se===void 0&&(Se=this.layerIndexes[R.id]=new Lr);let Oe=!1,pt={};Se.handleWrapJump(we);for(let At of ae){let Bt=At.getBucket(R);Bt&&R.id===Bt.layerIds[0]&&(Bt.bucketInstanceId||(Bt.bucketInstanceId=++this.maxBucketInstanceId),Se.addBucket(At.tileID,Bt,this.crossTileIDs)&&(Oe=!0),pt[Bt.bucketInstanceId]=!0)}return Se.removeStaleBuckets(pt)&&(Oe=!0),Oe}pruneUnusedLayers(R){let ae={};R.forEach(we=>{ae[we]=!0});for(let we in this.layerIndexes)ae[we]||delete this.layerIndexes[we]}}let Kr=(Ne,R)=>t.t(Ne,R&&R.filter(ae=>ae.identifier!==\"source.canvas\")),Ur=t.aw();class aa extends t.E{constructor(R,ae={}){super(),this._rtlPluginLoaded=()=>{for(let we in this.sourceCaches){let Se=this.sourceCaches[we].getSource().type;Se!==\"vector\"&&Se!==\"geojson\"||this.sourceCaches[we].reload()}},this.map=R,this.dispatcher=new J($(),R._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",(we,Se)=>this.getGlyphs(we,Se)),this.dispatcher.registerMessageHandler(\"GI\",(we,Se)=>this.getImages(we,Se)),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new F(R._requestManager,ae.localIdeographFontFamily),this.lineAtlas=new W(256,512),this.crossTileSymbolIndex=new Gr,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ax,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",t.ay()),rt().on(_e,this._rtlPluginLoaded),this.on(\"data\",we=>{if(we.dataType!==\"source\"||we.sourceDataType!==\"metadata\")return;let Se=this.sourceCaches[we.sourceId];if(!Se)return;let Oe=Se.getSource();if(Oe&&Oe.vectorLayerIds)for(let pt in this._layers){let At=this._layers[pt];At.source===Oe.id&&this._validateLayer(At)}})}loadURL(R,ae={},we){this.fire(new t.k(\"dataloading\",{dataType:\"style\"})),ae.validate=typeof ae.validate!=\"boolean\"||ae.validate;let Se=this.map._requestManager.transformRequest(R,\"Style\");this._loadStyleRequest=new AbortController;let Oe=this._loadStyleRequest;t.h(Se,this._loadStyleRequest).then(pt=>{this._loadStyleRequest=null,this._load(pt.data,ae,we)}).catch(pt=>{this._loadStyleRequest=null,pt&&!Oe.signal.aborted&&this.fire(new t.j(pt))})}loadJSON(R,ae={},we){this.fire(new t.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,i.frameAsync(this._frameRequest).then(()=>{this._frameRequest=null,ae.validate=ae.validate!==!1,this._load(R,ae,we)}).catch(()=>{})}loadEmpty(){this.fire(new t.k(\"dataloading\",{dataType:\"style\"})),this._load(Ur,{validate:!1})}_load(R,ae,we){var Se;let Oe=ae.transformStyle?ae.transformStyle(we,R):R;if(!ae.validate||!Kr(this,t.u(Oe))){this._loaded=!0,this.stylesheet=Oe;for(let pt in Oe.sources)this.addSource(pt,Oe.sources[pt],{validate:!1});Oe.sprite?this._loadSprite(Oe.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(Oe.glyphs),this._createLayers(),this.light=new I(this.stylesheet.light),this.sky=new U(this.stylesheet.sky),this.map.setTerrain((Se=this.stylesheet.terrain)!==null&&Se!==void 0?Se:null),this.fire(new t.k(\"data\",{dataType:\"style\"})),this.fire(new t.k(\"style.load\"))}}_createLayers(){let R=t.az(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",R),this._order=R.map(ae=>ae.id),this._layers={},this._serializedLayers=null;for(let ae of R){let we=t.aA(ae);we.setEventedParent(this,{layer:{id:ae.id}}),this._layers[ae.id]=we}}_loadSprite(R,ae=!1,we=void 0){let Se;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,function(Oe,pt,At,Bt){return t._(this,void 0,void 0,function*(){let $t=b(Oe),br=At>1?\"@2x\":\"\",Ar={},Yr={};for(let{id:sa,url:He}of $t){let Je=pt.transformRequest(p(He,br,\".json\"),\"SpriteJSON\");Ar[sa]=t.h(Je,Bt);let ut=pt.transformRequest(p(He,br,\".png\"),\"SpriteImage\");Yr[sa]=l.getImage(ut,Bt)}return yield Promise.all([...Object.values(Ar),...Object.values(Yr)]),function(sa,He){return t._(this,void 0,void 0,function*(){let Je={};for(let ut in sa){Je[ut]={};let dt=i.getImageCanvasContext((yield He[ut]).data),Ct=(yield sa[ut]).data;for(let wt in Ct){let{width:Dt,height:ur,x:mr,y:Er,sdf:Br,pixelRatio:Qr,stretchX:ga,stretchY:Sa,content:Oa,textFitWidth:di,textFitHeight:Wi}=Ct[wt];Je[ut][wt]={data:null,pixelRatio:Qr,sdf:Br,stretchX:ga,stretchY:Sa,content:Oa,textFitWidth:di,textFitHeight:Wi,spriteData:{width:Dt,height:ur,x:mr,y:Er,context:dt}}}}return Je})}(Ar,Yr)})}(R,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then(Oe=>{if(this._spriteRequest=null,Oe)for(let pt in Oe){this._spritesImagesIds[pt]=[];let At=this._spritesImagesIds[pt]?this._spritesImagesIds[pt].filter(Bt=>!(Bt in Oe)):[];for(let Bt of At)this.imageManager.removeImage(Bt),this._changedImages[Bt]=!0;for(let Bt in Oe[pt]){let $t=pt===\"default\"?Bt:`${pt}:${Bt}`;this._spritesImagesIds[pt].push($t),$t in this.imageManager.images?this.imageManager.updateImage($t,Oe[pt][Bt],!1):this.imageManager.addImage($t,Oe[pt][Bt]),ae&&(this._changedImages[$t]=!0)}}}).catch(Oe=>{this._spriteRequest=null,Se=Oe,this.fire(new t.j(Se))}).finally(()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),ae&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new t.k(\"data\",{dataType:\"style\"})),we&&we(Se)})}_unloadSprite(){for(let R of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(R),this._changedImages[R]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new t.k(\"data\",{dataType:\"style\"}))}_validateLayer(R){let ae=this.sourceCaches[R.source];if(!ae)return;let we=R.sourceLayer;if(!we)return;let Se=ae.getSource();(Se.type===\"geojson\"||Se.vectorLayerIds&&Se.vectorLayerIds.indexOf(we)===-1)&&this.fire(new t.j(new Error(`Source layer \"${we}\" does not exist on source \"${Se.id}\" as specified by style layer \"${R.id}\".`)))}loaded(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(let R in this.sourceCaches)if(!this.sourceCaches[R].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(R,ae=!1){let we=this._serializedAllLayers();if(!R||R.length===0)return Object.values(ae?t.aB(we):we);let Se=[];for(let Oe of R)if(we[Oe]){let pt=ae?t.aB(we[Oe]):we[Oe];Se.push(pt)}return Se}_serializedAllLayers(){let R=this._serializedLayers;if(R)return R;R=this._serializedLayers={};let ae=Object.keys(this._layers);for(let we of ae){let Se=this._layers[we];Se.type!==\"custom\"&&(R[we]=Se.serialize())}return R}hasTransitions(){if(this.light&&this.light.hasTransition()||this.sky&&this.sky.hasTransition())return!0;for(let R in this.sourceCaches)if(this.sourceCaches[R].hasTransition())return!0;for(let R in this._layers)if(this._layers[R].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(R){if(!this._loaded)return;let ae=this._changed;if(ae){let Se=Object.keys(this._updatedLayers),Oe=Object.keys(this._removedLayers);(Se.length||Oe.length)&&this._updateWorkerLayers(Se,Oe);for(let pt in this._updatedSources){let At=this._updatedSources[pt];if(At===\"reload\")this._reloadSource(pt);else{if(At!==\"clear\")throw new Error(`Invalid action ${At}`);this._clearSource(pt)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(let pt in this._updatedPaintProps)this._layers[pt].updateTransitions(R);this.light.updateTransitions(R),this.sky.updateTransitions(R),this._resetUpdates()}let we={};for(let Se in this.sourceCaches){let Oe=this.sourceCaches[Se];we[Se]=Oe.used,Oe.used=!1}for(let Se of this._order){let Oe=this._layers[Se];Oe.recalculate(R,this._availableImages),!Oe.isHidden(R.zoom)&&Oe.source&&(this.sourceCaches[Oe.source].used=!0)}for(let Se in we){let Oe=this.sourceCaches[Se];!!we[Se]!=!!Oe.used&&Oe.fire(new t.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:Se}))}this.light.recalculate(R),this.sky.recalculate(R),this.z=R.zoom,ae&&this.fire(new t.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){let R=Object.keys(this._changedImages);if(R.length){for(let ae in this.sourceCaches)this.sourceCaches[ae].reloadTilesForDependencies([\"icons\",\"patterns\"],R);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(let R in this.sourceCaches)this.sourceCaches[R].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(R,ae){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(R,!1),removedIds:ae})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(R,ae={}){var we;this._checkLoaded();let Se=this.serialize();if(R=ae.transformStyle?ae.transformStyle(Se,R):R,((we=ae.validate)===null||we===void 0||we)&&Kr(this,t.u(R)))return!1;(R=t.aB(R)).layers=t.az(R.layers);let Oe=t.aC(Se,R),pt=this._getOperationsToPerform(Oe);if(pt.unimplemented.length>0)throw new Error(`Unimplemented: ${pt.unimplemented.join(\", \")}.`);if(pt.operations.length===0)return!1;for(let At of pt.operations)At();return this.stylesheet=R,this._serializedLayers=null,!0}_getOperationsToPerform(R){let ae=[],we=[];for(let Se of R)switch(Se.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":ae.push(()=>this.addLayer.apply(this,Se.args));break;case\"removeLayer\":ae.push(()=>this.removeLayer.apply(this,Se.args));break;case\"setPaintProperty\":ae.push(()=>this.setPaintProperty.apply(this,Se.args));break;case\"setLayoutProperty\":ae.push(()=>this.setLayoutProperty.apply(this,Se.args));break;case\"setFilter\":ae.push(()=>this.setFilter.apply(this,Se.args));break;case\"addSource\":ae.push(()=>this.addSource.apply(this,Se.args));break;case\"removeSource\":ae.push(()=>this.removeSource.apply(this,Se.args));break;case\"setLayerZoomRange\":ae.push(()=>this.setLayerZoomRange.apply(this,Se.args));break;case\"setLight\":ae.push(()=>this.setLight.apply(this,Se.args));break;case\"setGeoJSONSourceData\":ae.push(()=>this.setGeoJSONSourceData.apply(this,Se.args));break;case\"setGlyphs\":ae.push(()=>this.setGlyphs.apply(this,Se.args));break;case\"setSprite\":ae.push(()=>this.setSprite.apply(this,Se.args));break;case\"setSky\":ae.push(()=>this.setSky.apply(this,Se.args));break;case\"setTerrain\":ae.push(()=>this.map.setTerrain.apply(this,Se.args));break;case\"setTransition\":ae.push(()=>{});break;default:we.push(Se.command)}return{operations:ae,unimplemented:we}}addImage(R,ae){if(this.getImage(R))return this.fire(new t.j(new Error(`An image named \"${R}\" already exists.`)));this.imageManager.addImage(R,ae),this._afterImageUpdated(R)}updateImage(R,ae){this.imageManager.updateImage(R,ae)}getImage(R){return this.imageManager.getImage(R)}removeImage(R){if(!this.getImage(R))return this.fire(new t.j(new Error(`An image named \"${R}\" does not exist.`)));this.imageManager.removeImage(R),this._afterImageUpdated(R)}_afterImageUpdated(R){this._availableImages=this.imageManager.listImages(),this._changedImages[R]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new t.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(R,ae,we={}){if(this._checkLoaded(),this.sourceCaches[R]!==void 0)throw new Error(`Source \"${R}\" already exists.`);if(!ae.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(ae).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(ae.type)>=0&&this._validate(t.u.source,`sources.${R}`,ae,null,we))return;this.map&&this.map._collectResourceTiming&&(ae.collectResourceTiming=!0);let Se=this.sourceCaches[R]=new kt(R,ae,this.dispatcher);Se.style=this,Se.setEventedParent(this,()=>({isSourceLoaded:Se.loaded(),source:Se.serialize(),sourceId:R})),Se.onAdd(this.map),this._changed=!0}removeSource(R){if(this._checkLoaded(),this.sourceCaches[R]===void 0)throw new Error(\"There is no source with this ID\");for(let we in this._layers)if(this._layers[we].source===R)return this.fire(new t.j(new Error(`Source \"${R}\" cannot be removed while layer \"${we}\" is using it.`)));let ae=this.sourceCaches[R];delete this.sourceCaches[R],delete this._updatedSources[R],ae.fire(new t.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:R})),ae.setEventedParent(null),ae.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(R,ae){if(this._checkLoaded(),this.sourceCaches[R]===void 0)throw new Error(`There is no source with this ID=${R}`);let we=this.sourceCaches[R].getSource();if(we.type!==\"geojson\")throw new Error(`geojsonSource.type is ${we.type}, which is !== 'geojson`);we.setData(ae),this._changed=!0}getSource(R){return this.sourceCaches[R]&&this.sourceCaches[R].getSource()}addLayer(R,ae,we={}){this._checkLoaded();let Se=R.id;if(this.getLayer(Se))return void this.fire(new t.j(new Error(`Layer \"${Se}\" already exists on this map.`)));let Oe;if(R.type===\"custom\"){if(Kr(this,t.aD(R)))return;Oe=t.aA(R)}else{if(\"source\"in R&&typeof R.source==\"object\"&&(this.addSource(Se,R.source),R=t.aB(R),R=t.e(R,{source:Se})),this._validate(t.u.layer,`layers.${Se}`,R,{arrayIndex:-1},we))return;Oe=t.aA(R),this._validateLayer(Oe),Oe.setEventedParent(this,{layer:{id:Se}})}let pt=ae?this._order.indexOf(ae):this._order.length;if(ae&&pt===-1)this.fire(new t.j(new Error(`Cannot add layer \"${Se}\" before non-existing layer \"${ae}\".`)));else{if(this._order.splice(pt,0,Se),this._layerOrderChanged=!0,this._layers[Se]=Oe,this._removedLayers[Se]&&Oe.source&&Oe.type!==\"custom\"){let At=this._removedLayers[Se];delete this._removedLayers[Se],At.type!==Oe.type?this._updatedSources[Oe.source]=\"clear\":(this._updatedSources[Oe.source]=\"reload\",this.sourceCaches[Oe.source].pause())}this._updateLayer(Oe),Oe.onAdd&&Oe.onAdd(this.map)}}moveLayer(R,ae){if(this._checkLoaded(),this._changed=!0,!this._layers[R])return void this.fire(new t.j(new Error(`The layer '${R}' does not exist in the map's style and cannot be moved.`)));if(R===ae)return;let we=this._order.indexOf(R);this._order.splice(we,1);let Se=ae?this._order.indexOf(ae):this._order.length;ae&&Se===-1?this.fire(new t.j(new Error(`Cannot move layer \"${R}\" before non-existing layer \"${ae}\".`))):(this._order.splice(Se,0,R),this._layerOrderChanged=!0)}removeLayer(R){this._checkLoaded();let ae=this._layers[R];if(!ae)return void this.fire(new t.j(new Error(`Cannot remove non-existing layer \"${R}\".`)));ae.setEventedParent(null);let we=this._order.indexOf(R);this._order.splice(we,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[R]=ae,delete this._layers[R],this._serializedLayers&&delete this._serializedLayers[R],delete this._updatedLayers[R],delete this._updatedPaintProps[R],ae.onRemove&&ae.onRemove(this.map)}getLayer(R){return this._layers[R]}getLayersOrder(){return[...this._order]}hasLayer(R){return R in this._layers}setLayerZoomRange(R,ae,we){this._checkLoaded();let Se=this.getLayer(R);Se?Se.minzoom===ae&&Se.maxzoom===we||(ae!=null&&(Se.minzoom=ae),we!=null&&(Se.maxzoom=we),this._updateLayer(Se)):this.fire(new t.j(new Error(`Cannot set the zoom range of non-existing layer \"${R}\".`)))}setFilter(R,ae,we={}){this._checkLoaded();let Se=this.getLayer(R);if(Se){if(!t.aE(Se.filter,ae))return ae==null?(Se.filter=void 0,void this._updateLayer(Se)):void(this._validate(t.u.filter,`layers.${Se.id}.filter`,ae,null,we)||(Se.filter=t.aB(ae),this._updateLayer(Se)))}else this.fire(new t.j(new Error(`Cannot filter non-existing layer \"${R}\".`)))}getFilter(R){return t.aB(this.getLayer(R).filter)}setLayoutProperty(R,ae,we,Se={}){this._checkLoaded();let Oe=this.getLayer(R);Oe?t.aE(Oe.getLayoutProperty(ae),we)||(Oe.setLayoutProperty(ae,we,Se),this._updateLayer(Oe)):this.fire(new t.j(new Error(`Cannot style non-existing layer \"${R}\".`)))}getLayoutProperty(R,ae){let we=this.getLayer(R);if(we)return we.getLayoutProperty(ae);this.fire(new t.j(new Error(`Cannot get style of non-existing layer \"${R}\".`)))}setPaintProperty(R,ae,we,Se={}){this._checkLoaded();let Oe=this.getLayer(R);Oe?t.aE(Oe.getPaintProperty(ae),we)||(Oe.setPaintProperty(ae,we,Se)&&this._updateLayer(Oe),this._changed=!0,this._updatedPaintProps[R]=!0,this._serializedLayers=null):this.fire(new t.j(new Error(`Cannot style non-existing layer \"${R}\".`)))}getPaintProperty(R,ae){return this.getLayer(R).getPaintProperty(ae)}setFeatureState(R,ae){this._checkLoaded();let we=R.source,Se=R.sourceLayer,Oe=this.sourceCaches[we];if(Oe===void 0)return void this.fire(new t.j(new Error(`The source '${we}' does not exist in the map's style.`)));let pt=Oe.getSource().type;pt===\"geojson\"&&Se?this.fire(new t.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):pt!==\"vector\"||Se?(R.id===void 0&&this.fire(new t.j(new Error(\"The feature id parameter must be provided.\"))),Oe.setFeatureState(Se,R.id,ae)):this.fire(new t.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(R,ae){this._checkLoaded();let we=R.source,Se=this.sourceCaches[we];if(Se===void 0)return void this.fire(new t.j(new Error(`The source '${we}' does not exist in the map's style.`)));let Oe=Se.getSource().type,pt=Oe===\"vector\"?R.sourceLayer:void 0;Oe!==\"vector\"||pt?ae&&typeof R.id!=\"string\"&&typeof R.id!=\"number\"?this.fire(new t.j(new Error(\"A feature id is required to remove its specific state property.\"))):Se.removeFeatureState(pt,R.id,ae):this.fire(new t.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(R){this._checkLoaded();let ae=R.source,we=R.sourceLayer,Se=this.sourceCaches[ae];if(Se!==void 0)return Se.getSource().type!==\"vector\"||we?(R.id===void 0&&this.fire(new t.j(new Error(\"The feature id parameter must be provided.\"))),Se.getFeatureState(we,R.id)):void this.fire(new t.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new t.j(new Error(`The source '${ae}' does not exist in the map's style.`)))}getTransition(){return t.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;let R=t.aF(this.sourceCaches,Oe=>Oe.serialize()),ae=this._serializeByIds(this._order,!0),we=this.map.getTerrain()||void 0,Se=this.stylesheet;return t.aG({version:Se.version,name:Se.name,metadata:Se.metadata,light:Se.light,sky:Se.sky,center:Se.center,zoom:Se.zoom,bearing:Se.bearing,pitch:Se.pitch,sprite:Se.sprite,glyphs:Se.glyphs,transition:Se.transition,sources:R,layers:ae,terrain:we},Oe=>Oe!==void 0)}_updateLayer(R){this._updatedLayers[R.id]=!0,R.source&&!this._updatedSources[R.source]&&this.sourceCaches[R.source].getSource().type!==\"raster\"&&(this._updatedSources[R.source]=\"reload\",this.sourceCaches[R.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(R){let ae=pt=>this._layers[pt].type===\"fill-extrusion\",we={},Se=[];for(let pt=this._order.length-1;pt>=0;pt--){let At=this._order[pt];if(ae(At)){we[At]=pt;for(let Bt of R){let $t=Bt[At];if($t)for(let br of $t)Se.push(br)}}}Se.sort((pt,At)=>At.intersectionZ-pt.intersectionZ);let Oe=[];for(let pt=this._order.length-1;pt>=0;pt--){let At=this._order[pt];if(ae(At))for(let Bt=Se.length-1;Bt>=0;Bt--){let $t=Se[Bt].feature;if(we[$t.layer.id]<pt)break;Oe.push($t),Se.pop()}else for(let Bt of R){let $t=Bt[At];if($t)for(let br of $t)Oe.push(br.feature)}}return Oe}queryRenderedFeatures(R,ae,we){ae&&ae.filter&&this._validate(t.u.filter,\"queryRenderedFeatures.filter\",ae.filter,null,ae);let Se={};if(ae&&ae.layers){if(!Array.isArray(ae.layers))return this.fire(new t.j(new Error(\"parameters.layers must be an Array.\"))),[];for(let At of ae.layers){let Bt=this._layers[At];if(!Bt)return this.fire(new t.j(new Error(`The layer '${At}' does not exist in the map's style and cannot be queried for features.`))),[];Se[Bt.source]=!0}}let Oe=[];ae.availableImages=this._availableImages;let pt=this._serializedAllLayers();for(let At in this.sourceCaches)ae.layers&&!Se[At]||Oe.push(ie(this.sourceCaches[At],this._layers,pt,R,ae,we));return this.placement&&Oe.push(function(At,Bt,$t,br,Ar,Yr,sa){let He={},Je=Yr.queryRenderedSymbols(br),ut=[];for(let dt of Object.keys(Je).map(Number))ut.push(sa[dt]);ut.sort(j);for(let dt of ut){let Ct=dt.featureIndex.lookupSymbolFeatures(Je[dt.bucketInstanceId],Bt,dt.bucketIndex,dt.sourceLayerIndex,Ar.filter,Ar.layers,Ar.availableImages,At);for(let wt in Ct){let Dt=He[wt]=He[wt]||[],ur=Ct[wt];ur.sort((mr,Er)=>{let Br=dt.featureSortOrder;if(Br){let Qr=Br.indexOf(mr.featureIndex);return Br.indexOf(Er.featureIndex)-Qr}return Er.featureIndex-mr.featureIndex});for(let mr of ur)Dt.push(mr)}}for(let dt in He)He[dt].forEach(Ct=>{let wt=Ct.feature,Dt=$t[At[dt].source].getFeatureState(wt.layer[\"source-layer\"],wt.id);wt.source=wt.layer.source,wt.layer[\"source-layer\"]&&(wt.sourceLayer=wt.layer[\"source-layer\"]),wt.state=Dt});return He}(this._layers,pt,this.sourceCaches,R,ae,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(Oe)}querySourceFeatures(R,ae){ae&&ae.filter&&this._validate(t.u.filter,\"querySourceFeatures.filter\",ae.filter,null,ae);let we=this.sourceCaches[R];return we?function(Se,Oe){let pt=Se.getRenderableIds().map($t=>Se.getTileByID($t)),At=[],Bt={};for(let $t=0;$t<pt.length;$t++){let br=pt[$t],Ar=br.tileID.canonical.key;Bt[Ar]||(Bt[Ar]=!0,br.querySourceFeatures(At,Oe))}return At}(we,ae):[]}getLight(){return this.light.getLight()}setLight(R,ae={}){this._checkLoaded();let we=this.light.getLight(),Se=!1;for(let pt in R)if(!t.aE(R[pt],we[pt])){Se=!0;break}if(!Se)return;let Oe={now:i.now(),transition:t.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(R,ae),this.light.updateTransitions(Oe)}getSky(){var R;return(R=this.stylesheet)===null||R===void 0?void 0:R.sky}setSky(R,ae={}){let we=this.getSky(),Se=!1;if(!R&&!we)return;if(R&&!we)Se=!0;else if(!R&&we)Se=!0;else for(let pt in R)if(!t.aE(R[pt],we[pt])){Se=!0;break}if(!Se)return;let Oe={now:i.now(),transition:t.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=R,this.sky.setSky(R,ae),this.sky.updateTransitions(Oe)}_validate(R,ae,we,Se,Oe={}){return(!Oe||Oe.validate!==!1)&&Kr(this,R.call(t.u,t.e({key:ae,style:this.serialize(),value:we,styleSpec:t.v},Se)))}_remove(R=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),rt().off(_e,this._rtlPluginLoaded);for(let ae in this._layers)this._layers[ae].setEventedParent(null);for(let ae in this.sourceCaches){let we=this.sourceCaches[ae];we.setEventedParent(null),we.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),R&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(R)}_clearSource(R){this.sourceCaches[R].clearTiles()}_reloadSource(R){this.sourceCaches[R].resume(),this.sourceCaches[R].reload()}_updateSources(R){for(let ae in this.sourceCaches)this.sourceCaches[ae].update(R,this.map.terrain)}_generateCollisionBoxes(){for(let R in this.sourceCaches)this._reloadSource(R)}_updatePlacement(R,ae,we,Se,Oe=!1){let pt=!1,At=!1,Bt={};for(let $t of this._order){let br=this._layers[$t];if(br.type!==\"symbol\")continue;if(!Bt[br.source]){let Yr=this.sourceCaches[br.source];Bt[br.source]=Yr.getRenderableIds(!0).map(sa=>Yr.getTileByID(sa)).sort((sa,He)=>He.tileID.overscaledZ-sa.tileID.overscaledZ||(sa.tileID.isLessThan(He.tileID)?-1:1))}let Ar=this.crossTileSymbolIndex.addLayer(br,Bt[br.source],R.center.lng);pt=pt||Ar}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((Oe=Oe||this._layerOrderChanged||we===0)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(i.now(),R.zoom))&&(this.pauseablePlacement=new ct(R,this.map.terrain,this._order,Oe,ae,we,Se,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,Bt),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(i.now()),At=!0),pt&&this.pauseablePlacement.placement.setStale()),At||pt)for(let $t of this._order){let br=this._layers[$t];br.type===\"symbol\"&&this.placement.updateLayerOpacities(br,Bt[br.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(i.now())}_releaseSymbolFadeTiles(){for(let R in this.sourceCaches)this.sourceCaches[R].releaseSymbolFadeTiles()}getImages(R,ae){return t._(this,void 0,void 0,function*(){let we=yield this.imageManager.getImages(ae.icons);this._updateTilesForChangedImages();let Se=this.sourceCaches[ae.source];return Se&&Se.setDependencies(ae.tileID.key,ae.type,ae.icons),we})}getGlyphs(R,ae){return t._(this,void 0,void 0,function*(){let we=yield this.glyphManager.getGlyphs(ae.stacks),Se=this.sourceCaches[ae.source];return Se&&Se.setDependencies(ae.tileID.key,ae.type,[\"\"]),we})}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(R,ae={}){this._checkLoaded(),R&&this._validate(t.u.glyphs,\"glyphs\",R,null,ae)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=R,this.glyphManager.entries={},this.glyphManager.setURL(R))}addSprite(R,ae,we={},Se){this._checkLoaded();let Oe=[{id:R,url:ae}],pt=[...b(this.stylesheet.sprite),...Oe];this._validate(t.u.sprite,\"sprite\",pt,null,we)||(this.stylesheet.sprite=pt,this._loadSprite(Oe,!0,Se))}removeSprite(R){this._checkLoaded();let ae=b(this.stylesheet.sprite);if(ae.find(we=>we.id===R)){if(this._spritesImagesIds[R])for(let we of this._spritesImagesIds[R])this.imageManager.removeImage(we),this._changedImages[we]=!0;ae.splice(ae.findIndex(we=>we.id===R),1),this.stylesheet.sprite=ae.length>0?ae:void 0,delete this._spritesImagesIds[R],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new t.k(\"data\",{dataType:\"style\"}))}else this.fire(new t.j(new Error(`Sprite \"${R}\" doesn't exists on this map.`)))}getSprite(){return b(this.stylesheet.sprite)}setSprite(R,ae={},we){this._checkLoaded(),R&&this._validate(t.u.sprite,\"sprite\",R,null,ae)||(this.stylesheet.sprite=R,R?this._loadSprite(R,!0,we):(this._unloadSprite(),we&&we(null)))}}var da=t.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);let fa={prelude:It(`#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\n`,`#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\n#ifdef TERRAIN3D\nuniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\n#endif\nconst highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\n#ifdef TERRAIN3D\nhighp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\n#else\nreturn 1.0;\n#endif\n}float calculate_visibility(vec4 pos) {\n#ifdef TERRAIN3D\nvec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\n#else\nreturn 1.0;\n#endif\n}float ele(vec2 pos) {\n#ifdef TERRAIN3D\nvec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\n#else\nreturn 0.0;\n#endif\n}float get_elevation(vec2 pos) {\n#ifdef TERRAIN3D\nvec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\n#else\nreturn 0.0;\n#endif\n}`),background:It(`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:It(`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:It(`varying vec3 v_data;varying float v_visibility;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);float antialiased_blur=v_data.z;float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}float antialiasblur=-max(1.0/u_device_pixel_ratio/(radius+stroke_width),blur);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`),clippingMask:It(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:It(`uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,get_elevation(floor(a_pos*0.5)),1);gl_Position=u_matrix*pos;}`),heatmapTexture:It(`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}`,\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:It(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:It(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:It(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:It(`#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}`),fillOutline:It(`varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillOutlinePattern:It(`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillPattern:It(`#ifdef GL_ES\nprecision highp float;\n#endif\nuniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`),fillExtrusion:It(`varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n#ifdef TERRAIN3D\nattribute vec2 a_centroid;\n#endif\nvarying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;\n#ifdef TERRAIN3D\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n#else\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n#endif\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`),fillExtrusionPattern:It(`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n#ifdef TERRAIN3D\nattribute vec2 a_centroid;\n#endif\nvarying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\n#ifdef TERRAIN3D\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n#else\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n#endif\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`),hillshadePrepare:It(`#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:It(`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:It(`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n#ifdef TERRAIN3D\nv_gamma_scale=1.0;\n#else\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n#endif\nv_width2=vec2(outset,inset);}`),lineGradient:It(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n#ifdef TERRAIN3D\nv_gamma_scale=1.0;\n#else\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n#endif\nv_width2=vec2(outset,inset);}`),linePattern:It(`#ifdef GL_ES\nprecision highp float;\n#endif\nuniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n#ifdef TERRAIN3D\nv_gamma_scale=1.0;\n#else\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n#endif\nv_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`),lineSDF:It(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n#ifdef TERRAIN3D\nv_gamma_scale=1.0;\n#else\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n#endif\nv_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`),raster:It(`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:It(`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}`),symbolSDF:It(`#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`),symbolTextAndIcon:It(`#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`),terrain:It(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:It(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:It(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:It(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function It(Ne,R){let ae=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,we=R.match(/attribute ([\\w]+) ([\\w]+)/g),Se=Ne.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),Oe=R.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),pt=Oe?Oe.concat(Se):Se,At={};return{fragmentSource:Ne=Ne.replace(ae,(Bt,$t,br,Ar,Yr)=>(At[Yr]=!0,$t===\"define\"?`\n#ifndef HAS_UNIFORM_u_${Yr}\nvarying ${br} ${Ar} ${Yr};\n#else\nuniform ${br} ${Ar} u_${Yr};\n#endif\n`:`\n#ifdef HAS_UNIFORM_u_${Yr}\n    ${br} ${Ar} ${Yr} = u_${Yr};\n#endif\n`)),vertexSource:R=R.replace(ae,(Bt,$t,br,Ar,Yr)=>{let sa=Ar===\"float\"?\"vec2\":\"vec4\",He=Yr.match(/color/)?\"color\":sa;return At[Yr]?$t===\"define\"?`\n#ifndef HAS_UNIFORM_u_${Yr}\nuniform lowp float u_${Yr}_t;\nattribute ${br} ${sa} a_${Yr};\nvarying ${br} ${Ar} ${Yr};\n#else\nuniform ${br} ${Ar} u_${Yr};\n#endif\n`:He===\"vec4\"?`\n#ifndef HAS_UNIFORM_u_${Yr}\n    ${Yr} = a_${Yr};\n#else\n    ${br} ${Ar} ${Yr} = u_${Yr};\n#endif\n`:`\n#ifndef HAS_UNIFORM_u_${Yr}\n    ${Yr} = unpack_mix_${He}(a_${Yr}, u_${Yr}_t);\n#else\n    ${br} ${Ar} ${Yr} = u_${Yr};\n#endif\n`:$t===\"define\"?`\n#ifndef HAS_UNIFORM_u_${Yr}\nuniform lowp float u_${Yr}_t;\nattribute ${br} ${sa} a_${Yr};\n#else\nuniform ${br} ${Ar} u_${Yr};\n#endif\n`:He===\"vec4\"?`\n#ifndef HAS_UNIFORM_u_${Yr}\n    ${br} ${Ar} ${Yr} = a_${Yr};\n#else\n    ${br} ${Ar} ${Yr} = u_${Yr};\n#endif\n`:`\n#ifndef HAS_UNIFORM_u_${Yr}\n    ${br} ${Ar} ${Yr} = unpack_mix_${He}(a_${Yr}, u_${Yr}_t);\n#else\n    ${br} ${Ar} ${Yr} = u_${Yr};\n#endif\n`}),staticAttributes:we,staticUniforms:pt}}class dr{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(R,ae,we,Se,Oe,pt,At,Bt,$t){this.context=R;let br=this.boundPaintVertexBuffers.length!==Se.length;for(let Ar=0;!br&&Ar<Se.length;Ar++)this.boundPaintVertexBuffers[Ar]!==Se[Ar]&&(br=!0);!this.vao||this.boundProgram!==ae||this.boundLayoutVertexBuffer!==we||br||this.boundIndexBuffer!==Oe||this.boundVertexOffset!==pt||this.boundDynamicVertexBuffer!==At||this.boundDynamicVertexBuffer2!==Bt||this.boundDynamicVertexBuffer3!==$t?this.freshBind(ae,we,Se,Oe,pt,At,Bt,$t):(R.bindVertexArray.set(this.vao),At&&At.bind(),Oe&&Oe.dynamicDraw&&Oe.bind(),Bt&&Bt.bind(),$t&&$t.bind())}freshBind(R,ae,we,Se,Oe,pt,At,Bt){let $t=R.numAttributes,br=this.context,Ar=br.gl;this.vao&&this.destroy(),this.vao=br.createVertexArray(),br.bindVertexArray.set(this.vao),this.boundProgram=R,this.boundLayoutVertexBuffer=ae,this.boundPaintVertexBuffers=we,this.boundIndexBuffer=Se,this.boundVertexOffset=Oe,this.boundDynamicVertexBuffer=pt,this.boundDynamicVertexBuffer2=At,this.boundDynamicVertexBuffer3=Bt,ae.enableAttributes(Ar,R);for(let Yr of we)Yr.enableAttributes(Ar,R);pt&&pt.enableAttributes(Ar,R),At&&At.enableAttributes(Ar,R),Bt&&Bt.enableAttributes(Ar,R),ae.bind(),ae.setVertexAttribPointers(Ar,R,Oe);for(let Yr of we)Yr.bind(),Yr.setVertexAttribPointers(Ar,R,Oe);pt&&(pt.bind(),pt.setVertexAttribPointers(Ar,R,Oe)),Se&&Se.bind(),At&&(At.bind(),At.setVertexAttribPointers(Ar,R,Oe)),Bt&&(Bt.bind(),Bt.setVertexAttribPointers(Ar,R,Oe)),br.currentNumAttributes=$t}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}let kr=(Ne,R,ae,we,Se)=>({u_matrix:Ne,u_texture:0,u_ele_delta:R,u_fog_matrix:ae,u_fog_color:we?we.properties.get(\"fog-color\"):t.aM.white,u_fog_ground_blend:we?we.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:we?we.calculateFogBlendOpacity(Se):0,u_horizon_color:we?we.properties.get(\"horizon-color\"):t.aM.white,u_horizon_fog_blend:we?we.properties.get(\"horizon-fog-blend\"):1});function ia(Ne){let R=[];for(let ae=0;ae<Ne.length;ae++){if(Ne[ae]===null)continue;let we=Ne[ae].split(\" \");R.push(we.pop())}return R}class Ca{constructor(R,ae,we,Se,Oe,pt){let At=R.gl;this.program=At.createProgram();let Bt=ia(ae.staticAttributes),$t=we?we.getBinderAttributes():[],br=Bt.concat($t),Ar=fa.prelude.staticUniforms?ia(fa.prelude.staticUniforms):[],Yr=ae.staticUniforms?ia(ae.staticUniforms):[],sa=we?we.getBinderUniforms():[],He=Ar.concat(Yr).concat(sa),Je=[];for(let mr of He)Je.indexOf(mr)<0&&Je.push(mr);let ut=we?we.defines():[];Oe&&ut.push(\"#define OVERDRAW_INSPECTOR;\"),pt&&ut.push(\"#define TERRAIN3D;\");let dt=ut.concat(fa.prelude.fragmentSource,ae.fragmentSource).join(`\n`),Ct=ut.concat(fa.prelude.vertexSource,ae.vertexSource).join(`\n`),wt=At.createShader(At.FRAGMENT_SHADER);if(At.isContextLost())return void(this.failedToCreate=!0);if(At.shaderSource(wt,dt),At.compileShader(wt),!At.getShaderParameter(wt,At.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${At.getShaderInfoLog(wt)}`);At.attachShader(this.program,wt);let Dt=At.createShader(At.VERTEX_SHADER);if(At.isContextLost())return void(this.failedToCreate=!0);if(At.shaderSource(Dt,Ct),At.compileShader(Dt),!At.getShaderParameter(Dt,At.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${At.getShaderInfoLog(Dt)}`);At.attachShader(this.program,Dt),this.attributes={};let ur={};this.numAttributes=br.length;for(let mr=0;mr<this.numAttributes;mr++)br[mr]&&(At.bindAttribLocation(this.program,mr,br[mr]),this.attributes[br[mr]]=mr);if(At.linkProgram(this.program),!At.getProgramParameter(this.program,At.LINK_STATUS))throw new Error(`Program failed to link: ${At.getProgramInfoLog(this.program)}`);At.deleteShader(Dt),At.deleteShader(wt);for(let mr=0;mr<Je.length;mr++){let Er=Je[mr];if(Er&&!ur[Er]){let Br=At.getUniformLocation(this.program,Er);Br&&(ur[Er]=Br)}}this.fixedUniforms=Se(R,ur),this.terrainUniforms=((mr,Er)=>({u_depth:new t.aH(mr,Er.u_depth),u_terrain:new t.aH(mr,Er.u_terrain),u_terrain_dim:new t.aI(mr,Er.u_terrain_dim),u_terrain_matrix:new t.aJ(mr,Er.u_terrain_matrix),u_terrain_unpack:new t.aK(mr,Er.u_terrain_unpack),u_terrain_exaggeration:new t.aI(mr,Er.u_terrain_exaggeration)}))(R,ur),this.binderUniforms=we?we.getUniforms(R,ur):[]}draw(R,ae,we,Se,Oe,pt,At,Bt,$t,br,Ar,Yr,sa,He,Je,ut,dt,Ct){let wt=R.gl;if(this.failedToCreate)return;if(R.program.set(this.program),R.setDepthMode(we),R.setStencilMode(Se),R.setColorMode(Oe),R.setCullFace(pt),Bt){R.activeTexture.set(wt.TEXTURE2),wt.bindTexture(wt.TEXTURE_2D,Bt.depthTexture),R.activeTexture.set(wt.TEXTURE3),wt.bindTexture(wt.TEXTURE_2D,Bt.texture);for(let ur in this.terrainUniforms)this.terrainUniforms[ur].set(Bt[ur])}for(let ur in this.fixedUniforms)this.fixedUniforms[ur].set(At[ur]);Je&&Je.setUniforms(R,this.binderUniforms,sa,{zoom:He});let Dt=0;switch(ae){case wt.LINES:Dt=2;break;case wt.TRIANGLES:Dt=3;break;case wt.LINE_STRIP:Dt=1}for(let ur of Yr.get()){let mr=ur.vaos||(ur.vaos={});(mr[$t]||(mr[$t]=new dr)).bind(R,this,br,Je?Je.getPaintVertexBuffers():[],Ar,ur.vertexOffset,ut,dt,Ct),wt.drawElements(ae,ur.primitiveLength*Dt,wt.UNSIGNED_SHORT,ur.primitiveOffset*Dt*2)}}}function Fa(Ne,R,ae){let we=1/Ua(ae,1,R.transform.tileZoom),Se=Math.pow(2,ae.tileID.overscaledZ),Oe=ae.tileSize*Math.pow(2,R.transform.tileZoom)/Se,pt=Oe*(ae.tileID.canonical.x+ae.tileID.wrap*Se),At=Oe*ae.tileID.canonical.y;return{u_image:0,u_texsize:ae.imageAtlasTexture.size,u_scale:[we,Ne.fromScale,Ne.toScale],u_fade:Ne.t,u_pixel_coord_upper:[pt>>16,At>>16],u_pixel_coord_lower:[65535&pt,65535&At]}}let Ya=(Ne,R,ae,we)=>{let Se=R.style.light,Oe=Se.properties.get(\"position\"),pt=[Oe.x,Oe.y,Oe.z],At=function(){var $t=new t.A(9);return t.A!=Float32Array&&($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,$t}();Se.properties.get(\"anchor\")===\"viewport\"&&function($t,br){var Ar=Math.sin(br),Yr=Math.cos(br);$t[0]=Yr,$t[1]=Ar,$t[2]=0,$t[3]=-Ar,$t[4]=Yr,$t[5]=0,$t[6]=0,$t[7]=0,$t[8]=1}(At,-R.transform.angle),function($t,br,Ar){var Yr=br[0],sa=br[1],He=br[2];$t[0]=Yr*Ar[0]+sa*Ar[3]+He*Ar[6],$t[1]=Yr*Ar[1]+sa*Ar[4]+He*Ar[7],$t[2]=Yr*Ar[2]+sa*Ar[5]+He*Ar[8]}(pt,pt,At);let Bt=Se.properties.get(\"color\");return{u_matrix:Ne,u_lightpos:pt,u_lightintensity:Se.properties.get(\"intensity\"),u_lightcolor:[Bt.r,Bt.g,Bt.b],u_vertical_gradient:+ae,u_opacity:we}},ha=(Ne,R,ae,we,Se,Oe,pt)=>t.e(Ya(Ne,R,ae,we),Fa(Oe,R,pt),{u_height_factor:-Math.pow(2,Se.overscaledZ)/pt.tileSize/8}),Da=Ne=>({u_matrix:Ne}),Xi=(Ne,R,ae,we)=>t.e(Da(Ne),Fa(ae,R,we)),Li=(Ne,R)=>({u_matrix:Ne,u_world:R}),fn=(Ne,R,ae,we,Se)=>t.e(Xi(Ne,R,ae,we),{u_world:Se}),An=(Ne,R,ae,we)=>{let Se=Ne.transform,Oe,pt;if(we.paint.get(\"circle-pitch-alignment\")===\"map\"){let At=Ua(ae,1,Se.zoom);Oe=!0,pt=[At,At]}else Oe=!1,pt=Se.pixelsToGLUnits;return{u_camera_to_center_distance:Se.cameraToCenterDistance,u_scale_with_map:+(we.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:Ne.translatePosMatrix(R.posMatrix,ae,we.paint.get(\"circle-translate\"),we.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+Oe,u_device_pixel_ratio:Ne.pixelRatio,u_extrude_scale:pt}},kn=(Ne,R,ae)=>({u_matrix:Ne,u_inv_matrix:R,u_camera_to_center_distance:ae.cameraToCenterDistance,u_viewport_size:[ae.width,ae.height]}),zn=(Ne,R,ae=1)=>({u_matrix:Ne,u_color:R,u_overlay:0,u_overlay_scale:ae}),Xn=Ne=>({u_matrix:Ne}),to=(Ne,R,ae,we)=>({u_matrix:Ne,u_extrude_scale:Ua(R,1,ae),u_intensity:we}),mo=(Ne,R,ae,we)=>{let Se=t.H();t.aP(Se,0,Ne.width,Ne.height,0,0,1);let Oe=Ne.context.gl;return{u_matrix:Se,u_world:[Oe.drawingBufferWidth,Oe.drawingBufferHeight],u_image:ae,u_color_ramp:we,u_opacity:R.paint.get(\"heatmap-opacity\")}};function pn(Ne,R){let ae=Math.pow(2,R.canonical.z),we=R.canonical.y;return[new t.Z(0,we/ae).toLngLat().lat,new t.Z(0,(we+1)/ae).toLngLat().lat]}let Jo=(Ne,R,ae,we)=>{let Se=Ne.transform;return{u_matrix:Vn(Ne,R,ae,we),u_ratio:1/Ua(R,1,Se.zoom),u_device_pixel_ratio:Ne.pixelRatio,u_units_to_pixels:[1/Se.pixelsToGLUnits[0],1/Se.pixelsToGLUnits[1]]}},Xo=(Ne,R,ae,we,Se)=>t.e(Jo(Ne,R,ae,Se),{u_image:0,u_image_height:we}),Ts=(Ne,R,ae,we,Se)=>{let Oe=Ne.transform,pt=so(R,Oe);return{u_matrix:Vn(Ne,R,ae,Se),u_texsize:R.imageAtlasTexture.size,u_ratio:1/Ua(R,1,Oe.zoom),u_device_pixel_ratio:Ne.pixelRatio,u_image:0,u_scale:[pt,we.fromScale,we.toScale],u_fade:we.t,u_units_to_pixels:[1/Oe.pixelsToGLUnits[0],1/Oe.pixelsToGLUnits[1]]}},Po=(Ne,R,ae,we,Se,Oe)=>{let pt=Ne.lineAtlas,At=so(R,Ne.transform),Bt=ae.layout.get(\"line-cap\")===\"round\",$t=pt.getDash(we.from,Bt),br=pt.getDash(we.to,Bt),Ar=$t.width*Se.fromScale,Yr=br.width*Se.toScale;return t.e(Jo(Ne,R,ae,Oe),{u_patternscale_a:[At/Ar,-$t.height/2],u_patternscale_b:[At/Yr,-br.height/2],u_sdfgamma:pt.width/(256*Math.min(Ar,Yr)*Ne.pixelRatio)/2,u_image:0,u_tex_y_a:$t.y,u_tex_y_b:br.y,u_mix:Se.t})};function so(Ne,R){return 1/Ua(Ne,1,R.tileZoom)}function Vn(Ne,R,ae,we){return Ne.translatePosMatrix(we?we.posMatrix:R.tileID.posMatrix,R,ae.paint.get(\"line-translate\"),ae.paint.get(\"line-translate-anchor\"))}let To=(Ne,R,ae,we,Se)=>{return{u_matrix:Ne,u_tl_parent:R,u_scale_parent:ae,u_buffer_scale:1,u_fade_t:we.mix,u_opacity:we.opacity*Se.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:Se.paint.get(\"raster-brightness-min\"),u_brightness_high:Se.paint.get(\"raster-brightness-max\"),u_saturation_factor:(pt=Se.paint.get(\"raster-saturation\"),pt>0?1-1/(1.001-pt):-pt),u_contrast_factor:(Oe=Se.paint.get(\"raster-contrast\"),Oe>0?1/(1-Oe):1+Oe),u_spin_weights:qo(Se.paint.get(\"raster-hue-rotate\"))};var Oe,pt};function qo(Ne){Ne*=Math.PI/180;let R=Math.sin(Ne),ae=Math.cos(Ne);return[(2*ae+1)/3,(-Math.sqrt(3)*R-ae+1)/3,(Math.sqrt(3)*R-ae+1)/3]}let Oo=(Ne,R,ae,we,Se,Oe,pt,At,Bt,$t,br,Ar,Yr,sa)=>{let He=pt.transform;return{u_is_size_zoom_constant:+(Ne===\"constant\"||Ne===\"source\"),u_is_size_feature_constant:+(Ne===\"constant\"||Ne===\"camera\"),u_size_t:R?R.uSizeT:0,u_size:R?R.uSize:0,u_camera_to_center_distance:He.cameraToCenterDistance,u_pitch:He.pitch/360*2*Math.PI,u_rotate_symbol:+ae,u_aspect_ratio:He.width/He.height,u_fade_change:pt.options.fadeDuration?pt.symbolFadeChange:1,u_matrix:At,u_label_plane_matrix:Bt,u_coord_matrix:$t,u_is_text:+Ar,u_pitch_with_map:+we,u_is_along_line:Se,u_is_variable_anchor:Oe,u_texsize:Yr,u_texture:0,u_translation:br,u_pitched_scale:sa}},lo=(Ne,R,ae,we,Se,Oe,pt,At,Bt,$t,br,Ar,Yr,sa,He)=>{let Je=pt.transform;return t.e(Oo(Ne,R,ae,we,Se,Oe,pt,At,Bt,$t,br,Ar,Yr,He),{u_gamma_scale:we?Math.cos(Je._pitch)*Je.cameraToCenterDistance:1,u_device_pixel_ratio:pt.pixelRatio,u_is_halo:+sa})},Co=(Ne,R,ae,we,Se,Oe,pt,At,Bt,$t,br,Ar,Yr,sa)=>t.e(lo(Ne,R,ae,we,Se,Oe,pt,At,Bt,$t,br,!0,Ar,!0,sa),{u_texsize_icon:Yr,u_texture_icon:1}),os=(Ne,R,ae)=>({u_matrix:Ne,u_opacity:R,u_color:ae}),Ys=(Ne,R,ae,we,Se,Oe)=>t.e(function(pt,At,Bt,$t){let br=Bt.imageManager.getPattern(pt.from.toString()),Ar=Bt.imageManager.getPattern(pt.to.toString()),{width:Yr,height:sa}=Bt.imageManager.getPixelSize(),He=Math.pow(2,$t.tileID.overscaledZ),Je=$t.tileSize*Math.pow(2,Bt.transform.tileZoom)/He,ut=Je*($t.tileID.canonical.x+$t.tileID.wrap*He),dt=Je*$t.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:br.tl,u_pattern_br_a:br.br,u_pattern_tl_b:Ar.tl,u_pattern_br_b:Ar.br,u_texsize:[Yr,sa],u_mix:At.t,u_pattern_size_a:br.displaySize,u_pattern_size_b:Ar.displaySize,u_scale_a:At.fromScale,u_scale_b:At.toScale,u_tile_units_to_pixels:1/Ua($t,1,Bt.transform.tileZoom),u_pixel_coord_upper:[ut>>16,dt>>16],u_pixel_coord_lower:[65535&ut,65535&dt]}}(we,Oe,ae,Se),{u_matrix:Ne,u_opacity:R}),Os={fillExtrusion:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_lightpos:new t.aN(Ne,R.u_lightpos),u_lightintensity:new t.aI(Ne,R.u_lightintensity),u_lightcolor:new t.aN(Ne,R.u_lightcolor),u_vertical_gradient:new t.aI(Ne,R.u_vertical_gradient),u_opacity:new t.aI(Ne,R.u_opacity)}),fillExtrusionPattern:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_lightpos:new t.aN(Ne,R.u_lightpos),u_lightintensity:new t.aI(Ne,R.u_lightintensity),u_lightcolor:new t.aN(Ne,R.u_lightcolor),u_vertical_gradient:new t.aI(Ne,R.u_vertical_gradient),u_height_factor:new t.aI(Ne,R.u_height_factor),u_image:new t.aH(Ne,R.u_image),u_texsize:new t.aO(Ne,R.u_texsize),u_pixel_coord_upper:new t.aO(Ne,R.u_pixel_coord_upper),u_pixel_coord_lower:new t.aO(Ne,R.u_pixel_coord_lower),u_scale:new t.aN(Ne,R.u_scale),u_fade:new t.aI(Ne,R.u_fade),u_opacity:new t.aI(Ne,R.u_opacity)}),fill:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix)}),fillPattern:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_image:new t.aH(Ne,R.u_image),u_texsize:new t.aO(Ne,R.u_texsize),u_pixel_coord_upper:new t.aO(Ne,R.u_pixel_coord_upper),u_pixel_coord_lower:new t.aO(Ne,R.u_pixel_coord_lower),u_scale:new t.aN(Ne,R.u_scale),u_fade:new t.aI(Ne,R.u_fade)}),fillOutline:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_world:new 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t.aO(Ne,R.u_viewport_size)}),debug:(Ne,R)=>({u_color:new t.aL(Ne,R.u_color),u_matrix:new t.aJ(Ne,R.u_matrix),u_overlay:new t.aH(Ne,R.u_overlay),u_overlay_scale:new t.aI(Ne,R.u_overlay_scale)}),clippingMask:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix)}),heatmap:(Ne,R)=>({u_extrude_scale:new t.aI(Ne,R.u_extrude_scale),u_intensity:new t.aI(Ne,R.u_intensity),u_matrix:new t.aJ(Ne,R.u_matrix)}),heatmapTexture:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_world:new t.aO(Ne,R.u_world),u_image:new t.aH(Ne,R.u_image),u_color_ramp:new t.aH(Ne,R.u_color_ramp),u_opacity:new t.aI(Ne,R.u_opacity)}),hillshade:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_image:new t.aH(Ne,R.u_image),u_latrange:new t.aO(Ne,R.u_latrange),u_light:new t.aO(Ne,R.u_light),u_shadow:new t.aL(Ne,R.u_shadow),u_highlight:new t.aL(Ne,R.u_highlight),u_accent:new t.aL(Ne,R.u_accent)}),hillshadePrepare:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_image:new t.aH(Ne,R.u_image),u_dimension:new t.aO(Ne,R.u_dimension),u_zoom:new t.aI(Ne,R.u_zoom),u_unpack:new t.aK(Ne,R.u_unpack)}),line:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_ratio:new t.aI(Ne,R.u_ratio),u_device_pixel_ratio:new t.aI(Ne,R.u_device_pixel_ratio),u_units_to_pixels:new t.aO(Ne,R.u_units_to_pixels)}),lineGradient:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_ratio:new t.aI(Ne,R.u_ratio),u_device_pixel_ratio:new t.aI(Ne,R.u_device_pixel_ratio),u_units_to_pixels:new t.aO(Ne,R.u_units_to_pixels),u_image:new t.aH(Ne,R.u_image),u_image_height:new t.aI(Ne,R.u_image_height)}),linePattern:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_texsize:new t.aO(Ne,R.u_texsize),u_ratio:new t.aI(Ne,R.u_ratio),u_device_pixel_ratio:new t.aI(Ne,R.u_device_pixel_ratio),u_image:new t.aH(Ne,R.u_image),u_units_to_pixels:new t.aO(Ne,R.u_units_to_pixels),u_scale:new t.aN(Ne,R.u_scale),u_fade:new t.aI(Ne,R.u_fade)}),lineSDF:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_ratio:new t.aI(Ne,R.u_ratio),u_device_pixel_ratio:new t.aI(Ne,R.u_device_pixel_ratio),u_units_to_pixels:new t.aO(Ne,R.u_units_to_pixels),u_patternscale_a:new t.aO(Ne,R.u_patternscale_a),u_patternscale_b:new t.aO(Ne,R.u_patternscale_b),u_sdfgamma:new t.aI(Ne,R.u_sdfgamma),u_image:new t.aH(Ne,R.u_image),u_tex_y_a:new t.aI(Ne,R.u_tex_y_a),u_tex_y_b:new t.aI(Ne,R.u_tex_y_b),u_mix:new t.aI(Ne,R.u_mix)}),raster:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_tl_parent:new t.aO(Ne,R.u_tl_parent),u_scale_parent:new t.aI(Ne,R.u_scale_parent),u_buffer_scale:new t.aI(Ne,R.u_buffer_scale),u_fade_t:new t.aI(Ne,R.u_fade_t),u_opacity:new t.aI(Ne,R.u_opacity),u_image0:new t.aH(Ne,R.u_image0),u_image1:new t.aH(Ne,R.u_image1),u_brightness_low:new t.aI(Ne,R.u_brightness_low),u_brightness_high:new t.aI(Ne,R.u_brightness_high),u_saturation_factor:new t.aI(Ne,R.u_saturation_factor),u_contrast_factor:new t.aI(Ne,R.u_contrast_factor),u_spin_weights:new t.aN(Ne,R.u_spin_weights)}),symbolIcon:(Ne,R)=>({u_is_size_zoom_constant:new t.aH(Ne,R.u_is_size_zoom_constant),u_is_size_feature_constant:new t.aH(Ne,R.u_is_size_feature_constant),u_size_t:new t.aI(Ne,R.u_size_t),u_size:new t.aI(Ne,R.u_size),u_camera_to_center_distance:new t.aI(Ne,R.u_camera_to_center_distance),u_pitch:new t.aI(Ne,R.u_pitch),u_rotate_symbol:new t.aH(Ne,R.u_rotate_symbol),u_aspect_ratio:new t.aI(Ne,R.u_aspect_ratio),u_fade_change:new t.aI(Ne,R.u_fade_change),u_matrix:new t.aJ(Ne,R.u_matrix),u_label_plane_matrix:new t.aJ(Ne,R.u_label_plane_matrix),u_coord_matrix:new t.aJ(Ne,R.u_coord_matrix),u_is_text:new t.aH(Ne,R.u_is_text),u_pitch_with_map:new t.aH(Ne,R.u_pitch_with_map),u_is_along_line:new t.aH(Ne,R.u_is_along_line),u_is_variable_anchor:new t.aH(Ne,R.u_is_variable_anchor),u_texsize:new t.aO(Ne,R.u_texsize),u_texture:new t.aH(Ne,R.u_texture),u_translation:new t.aO(Ne,R.u_translation),u_pitched_scale:new t.aI(Ne,R.u_pitched_scale)}),symbolSDF:(Ne,R)=>({u_is_size_zoom_constant:new t.aH(Ne,R.u_is_size_zoom_constant),u_is_size_feature_constant:new t.aH(Ne,R.u_is_size_feature_constant),u_size_t:new t.aI(Ne,R.u_size_t),u_size:new t.aI(Ne,R.u_size),u_camera_to_center_distance:new t.aI(Ne,R.u_camera_to_center_distance),u_pitch:new t.aI(Ne,R.u_pitch),u_rotate_symbol:new t.aH(Ne,R.u_rotate_symbol),u_aspect_ratio:new t.aI(Ne,R.u_aspect_ratio),u_fade_change:new t.aI(Ne,R.u_fade_change),u_matrix:new t.aJ(Ne,R.u_matrix),u_label_plane_matrix:new t.aJ(Ne,R.u_label_plane_matrix),u_coord_matrix:new t.aJ(Ne,R.u_coord_matrix),u_is_text:new t.aH(Ne,R.u_is_text),u_pitch_with_map:new t.aH(Ne,R.u_pitch_with_map),u_is_along_line:new t.aH(Ne,R.u_is_along_line),u_is_variable_anchor:new t.aH(Ne,R.u_is_variable_anchor),u_texsize:new t.aO(Ne,R.u_texsize),u_texture:new t.aH(Ne,R.u_texture),u_gamma_scale:new t.aI(Ne,R.u_gamma_scale),u_device_pixel_ratio:new t.aI(Ne,R.u_device_pixel_ratio),u_is_halo:new t.aH(Ne,R.u_is_halo),u_translation:new t.aO(Ne,R.u_translation),u_pitched_scale:new t.aI(Ne,R.u_pitched_scale)}),symbolTextAndIcon:(Ne,R)=>({u_is_size_zoom_constant:new t.aH(Ne,R.u_is_size_zoom_constant),u_is_size_feature_constant:new t.aH(Ne,R.u_is_size_feature_constant),u_size_t:new t.aI(Ne,R.u_size_t),u_size:new t.aI(Ne,R.u_size),u_camera_to_center_distance:new t.aI(Ne,R.u_camera_to_center_distance),u_pitch:new t.aI(Ne,R.u_pitch),u_rotate_symbol:new t.aH(Ne,R.u_rotate_symbol),u_aspect_ratio:new t.aI(Ne,R.u_aspect_ratio),u_fade_change:new t.aI(Ne,R.u_fade_change),u_matrix:new t.aJ(Ne,R.u_matrix),u_label_plane_matrix:new t.aJ(Ne,R.u_label_plane_matrix),u_coord_matrix:new t.aJ(Ne,R.u_coord_matrix),u_is_text:new t.aH(Ne,R.u_is_text),u_pitch_with_map:new t.aH(Ne,R.u_pitch_with_map),u_is_along_line:new t.aH(Ne,R.u_is_along_line),u_is_variable_anchor:new t.aH(Ne,R.u_is_variable_anchor),u_texsize:new t.aO(Ne,R.u_texsize),u_texsize_icon:new t.aO(Ne,R.u_texsize_icon),u_texture:new t.aH(Ne,R.u_texture),u_texture_icon:new t.aH(Ne,R.u_texture_icon),u_gamma_scale:new t.aI(Ne,R.u_gamma_scale),u_device_pixel_ratio:new t.aI(Ne,R.u_device_pixel_ratio),u_is_halo:new t.aH(Ne,R.u_is_halo),u_translation:new t.aO(Ne,R.u_translation),u_pitched_scale:new t.aI(Ne,R.u_pitched_scale)}),background:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_opacity:new t.aI(Ne,R.u_opacity),u_color:new t.aL(Ne,R.u_color)}),backgroundPattern:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_opacity:new t.aI(Ne,R.u_opacity),u_image:new t.aH(Ne,R.u_image),u_pattern_tl_a:new t.aO(Ne,R.u_pattern_tl_a),u_pattern_br_a:new t.aO(Ne,R.u_pattern_br_a),u_pattern_tl_b:new t.aO(Ne,R.u_pattern_tl_b),u_pattern_br_b:new t.aO(Ne,R.u_pattern_br_b),u_texsize:new t.aO(Ne,R.u_texsize),u_mix:new t.aI(Ne,R.u_mix),u_pattern_size_a:new t.aO(Ne,R.u_pattern_size_a),u_pattern_size_b:new t.aO(Ne,R.u_pattern_size_b),u_scale_a:new t.aI(Ne,R.u_scale_a),u_scale_b:new t.aI(Ne,R.u_scale_b),u_pixel_coord_upper:new t.aO(Ne,R.u_pixel_coord_upper),u_pixel_coord_lower:new t.aO(Ne,R.u_pixel_coord_lower),u_tile_units_to_pixels:new t.aI(Ne,R.u_tile_units_to_pixels)}),terrain:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_texture:new t.aH(Ne,R.u_texture),u_ele_delta:new t.aI(Ne,R.u_ele_delta),u_fog_matrix:new t.aJ(Ne,R.u_fog_matrix),u_fog_color:new t.aL(Ne,R.u_fog_color),u_fog_ground_blend:new t.aI(Ne,R.u_fog_ground_blend),u_fog_ground_blend_opacity:new t.aI(Ne,R.u_fog_ground_blend_opacity),u_horizon_color:new t.aL(Ne,R.u_horizon_color),u_horizon_fog_blend:new t.aI(Ne,R.u_horizon_fog_blend)}),terrainDepth:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_ele_delta:new t.aI(Ne,R.u_ele_delta)}),terrainCoords:(Ne,R)=>({u_matrix:new t.aJ(Ne,R.u_matrix),u_texture:new t.aH(Ne,R.u_texture),u_terrain_coords_id:new t.aI(Ne,R.u_terrain_coords_id),u_ele_delta:new t.aI(Ne,R.u_ele_delta)}),sky:(Ne,R)=>({u_sky_color:new t.aL(Ne,R.u_sky_color),u_horizon_color:new t.aL(Ne,R.u_horizon_color),u_horizon:new t.aI(Ne,R.u_horizon),u_sky_horizon_blend:new t.aI(Ne,R.u_sky_horizon_blend)})};class Yo{constructor(R,ae,we){this.context=R;let Se=R.gl;this.buffer=Se.createBuffer(),this.dynamicDraw=!!we,this.context.unbindVAO(),R.bindElementBuffer.set(this.buffer),Se.bufferData(Se.ELEMENT_ARRAY_BUFFER,ae.arrayBuffer,this.dynamicDraw?Se.DYNAMIC_DRAW:Se.STATIC_DRAW),this.dynamicDraw||delete ae.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(R){let ae=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),ae.bufferSubData(ae.ELEMENT_ARRAY_BUFFER,0,R.arrayBuffer)}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Ui={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class Cn{constructor(R,ae,we,Se){this.length=ae.length,this.attributes=we,this.itemSize=ae.bytesPerElement,this.dynamicDraw=Se,this.context=R;let Oe=R.gl;this.buffer=Oe.createBuffer(),R.bindVertexBuffer.set(this.buffer),Oe.bufferData(Oe.ARRAY_BUFFER,ae.arrayBuffer,this.dynamicDraw?Oe.DYNAMIC_DRAW:Oe.STATIC_DRAW),this.dynamicDraw||delete ae.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(R){if(R.length!==this.length)throw new Error(`Length of new data is ${R.length}, which doesn't match current length of ${this.length}`);let ae=this.context.gl;this.bind(),ae.bufferSubData(ae.ARRAY_BUFFER,0,R.arrayBuffer)}enableAttributes(R,ae){for(let we=0;we<this.attributes.length;we++){let Se=ae.attributes[this.attributes[we].name];Se!==void 0&&R.enableVertexAttribArray(Se)}}setVertexAttribPointers(R,ae,we){for(let Se=0;Se<this.attributes.length;Se++){let Oe=this.attributes[Se],pt=ae.attributes[Oe.name];pt!==void 0&&R.vertexAttribPointer(pt,Oe.components,R[Ui[Oe.type]],!1,this.itemSize,Oe.offset+this.itemSize*(we||0))}}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let tl=new WeakMap;function Bs(Ne){var R;if(tl.has(Ne))return tl.get(Ne);{let ae=(R=Ne.getParameter(Ne.VERSION))===null||R===void 0?void 0:R.startsWith(\"WebGL 2.0\");return tl.set(Ne,ae),ae}}class uo{constructor(R){this.gl=R.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(R){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class $s extends uo{getDefault(){return t.aM.transparent}set(R){let ae=this.current;(R.r!==ae.r||R.g!==ae.g||R.b!==ae.b||R.a!==ae.a||this.dirty)&&(this.gl.clearColor(R.r,R.g,R.b,R.a),this.current=R,this.dirty=!1)}}class ms extends uo{getDefault(){return 1}set(R){(R!==this.current||this.dirty)&&(this.gl.clearDepth(R),this.current=R,this.dirty=!1)}}class Is extends uo{getDefault(){return 0}set(R){(R!==this.current||this.dirty)&&(this.gl.clearStencil(R),this.current=R,this.dirty=!1)}}class rl extends uo{getDefault(){return[!0,!0,!0,!0]}set(R){let ae=this.current;(R[0]!==ae[0]||R[1]!==ae[1]||R[2]!==ae[2]||R[3]!==ae[3]||this.dirty)&&(this.gl.colorMask(R[0],R[1],R[2],R[3]),this.current=R,this.dirty=!1)}}class Sn extends uo{getDefault(){return!0}set(R){(R!==this.current||this.dirty)&&(this.gl.depthMask(R),this.current=R,this.dirty=!1)}}class po extends uo{getDefault(){return 255}set(R){(R!==this.current||this.dirty)&&(this.gl.stencilMask(R),this.current=R,this.dirty=!1)}}class ro extends uo{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(R){let ae=this.current;(R.func!==ae.func||R.ref!==ae.ref||R.mask!==ae.mask||this.dirty)&&(this.gl.stencilFunc(R.func,R.ref,R.mask),this.current=R,this.dirty=!1)}}class As extends uo{getDefault(){let R=this.gl;return[R.KEEP,R.KEEP,R.KEEP]}set(R){let ae=this.current;(R[0]!==ae[0]||R[1]!==ae[1]||R[2]!==ae[2]||this.dirty)&&(this.gl.stencilOp(R[0],R[1],R[2]),this.current=R,this.dirty=!1)}}class al extends uo{getDefault(){return!1}set(R){if(R===this.current&&!this.dirty)return;let ae=this.gl;R?ae.enable(ae.STENCIL_TEST):ae.disable(ae.STENCIL_TEST),this.current=R,this.dirty=!1}}class $n extends uo{getDefault(){return[0,1]}set(R){let ae=this.current;(R[0]!==ae[0]||R[1]!==ae[1]||this.dirty)&&(this.gl.depthRange(R[0],R[1]),this.current=R,this.dirty=!1)}}class zs extends uo{getDefault(){return!1}set(R){if(R===this.current&&!this.dirty)return;let ae=this.gl;R?ae.enable(ae.DEPTH_TEST):ae.disable(ae.DEPTH_TEST),this.current=R,this.dirty=!1}}class au extends uo{getDefault(){return this.gl.LESS}set(R){(R!==this.current||this.dirty)&&(this.gl.depthFunc(R),this.current=R,this.dirty=!1)}}class fl extends uo{getDefault(){return!1}set(R){if(R===this.current&&!this.dirty)return;let ae=this.gl;R?ae.enable(ae.BLEND):ae.disable(ae.BLEND),this.current=R,this.dirty=!1}}class xu extends uo{getDefault(){let R=this.gl;return[R.ONE,R.ZERO]}set(R){let ae=this.current;(R[0]!==ae[0]||R[1]!==ae[1]||this.dirty)&&(this.gl.blendFunc(R[0],R[1]),this.current=R,this.dirty=!1)}}class zl extends uo{getDefault(){return t.aM.transparent}set(R){let ae=this.current;(R.r!==ae.r||R.g!==ae.g||R.b!==ae.b||R.a!==ae.a||this.dirty)&&(this.gl.blendColor(R.r,R.g,R.b,R.a),this.current=R,this.dirty=!1)}}class Ns extends uo{getDefault(){return this.gl.FUNC_ADD}set(R){(R!==this.current||this.dirty)&&(this.gl.blendEquation(R),this.current=R,this.dirty=!1)}}class iu extends uo{getDefault(){return!1}set(R){if(R===this.current&&!this.dirty)return;let ae=this.gl;R?ae.enable(ae.CULL_FACE):ae.disable(ae.CULL_FACE),this.current=R,this.dirty=!1}}class Eu extends uo{getDefault(){return this.gl.BACK}set(R){(R!==this.current||this.dirty)&&(this.gl.cullFace(R),this.current=R,this.dirty=!1)}}class Bc extends uo{getDefault(){return this.gl.CCW}set(R){(R!==this.current||this.dirty)&&(this.gl.frontFace(R),this.current=R,this.dirty=!1)}}class Cu extends uo{getDefault(){return null}set(R){(R!==this.current||this.dirty)&&(this.gl.useProgram(R),this.current=R,this.dirty=!1)}}class Af extends uo{getDefault(){return this.gl.TEXTURE0}set(R){(R!==this.current||this.dirty)&&(this.gl.activeTexture(R),this.current=R,this.dirty=!1)}}class pf extends uo{getDefault(){let R=this.gl;return[0,0,R.drawingBufferWidth,R.drawingBufferHeight]}set(R){let ae=this.current;(R[0]!==ae[0]||R[1]!==ae[1]||R[2]!==ae[2]||R[3]!==ae[3]||this.dirty)&&(this.gl.viewport(R[0],R[1],R[2],R[3]),this.current=R,this.dirty=!1)}}class Us extends uo{getDefault(){return null}set(R){if(R===this.current&&!this.dirty)return;let ae=this.gl;ae.bindFramebuffer(ae.FRAMEBUFFER,R),this.current=R,this.dirty=!1}}class Vc extends uo{getDefault(){return null}set(R){if(R===this.current&&!this.dirty)return;let ae=this.gl;ae.bindRenderbuffer(ae.RENDERBUFFER,R),this.current=R,this.dirty=!1}}class Sf extends uo{getDefault(){return null}set(R){if(R===this.current&&!this.dirty)return;let ae=this.gl;ae.bindTexture(ae.TEXTURE_2D,R),this.current=R,this.dirty=!1}}class nu extends uo{getDefault(){return null}set(R){if(R===this.current&&!this.dirty)return;let ae=this.gl;ae.bindBuffer(ae.ARRAY_BUFFER,R),this.current=R,this.dirty=!1}}class Ll extends uo{getDefault(){return null}set(R){let ae=this.gl;ae.bindBuffer(ae.ELEMENT_ARRAY_BUFFER,R),this.current=R,this.dirty=!1}}class ic extends uo{getDefault(){return null}set(R){var ae;if(R===this.current&&!this.dirty)return;let we=this.gl;Bs(we)?we.bindVertexArray(R):(ae=we.getExtension(\"OES_vertex_array_object\"))===null||ae===void 0||ae.bindVertexArrayOES(R),this.current=R,this.dirty=!1}}class Ou extends uo{getDefault(){return 4}set(R){if(R===this.current&&!this.dirty)return;let ae=this.gl;ae.pixelStorei(ae.UNPACK_ALIGNMENT,R),this.current=R,this.dirty=!1}}class il extends uo{getDefault(){return!1}set(R){if(R===this.current&&!this.dirty)return;let ae=this.gl;ae.pixelStorei(ae.UNPACK_PREMULTIPLY_ALPHA_WEBGL,R),this.current=R,this.dirty=!1}}class vl extends uo{getDefault(){return!1}set(R){if(R===this.current&&!this.dirty)return;let ae=this.gl;ae.pixelStorei(ae.UNPACK_FLIP_Y_WEBGL,R),this.current=R,this.dirty=!1}}class gs extends uo{constructor(R,ae){super(R),this.context=R,this.parent=ae}getDefault(){return null}}class Vs extends gs{setDirty(){this.dirty=!0}set(R){if(R===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let ae=this.gl;ae.framebufferTexture2D(ae.FRAMEBUFFER,ae.COLOR_ATTACHMENT0,ae.TEXTURE_2D,R,0),this.current=R,this.dirty=!1}}class nc extends gs{set(R){if(R===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let ae=this.gl;ae.framebufferRenderbuffer(ae.FRAMEBUFFER,ae.DEPTH_ATTACHMENT,ae.RENDERBUFFER,R),this.current=R,this.dirty=!1}}class Nl extends gs{set(R){if(R===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let ae=this.gl;ae.framebufferRenderbuffer(ae.FRAMEBUFFER,ae.DEPTH_STENCIL_ATTACHMENT,ae.RENDERBUFFER,R),this.current=R,this.dirty=!1}}class qu{constructor(R,ae,we,Se,Oe){this.context=R,this.width=ae,this.height=we;let pt=R.gl,At=this.framebuffer=pt.createFramebuffer();if(this.colorAttachment=new Vs(R,At),Se)this.depthAttachment=Oe?new Nl(R,At):new nc(R,At);else if(Oe)throw new Error(\"Stencil cannot be set without depth\");if(pt.checkFramebufferStatus(pt.FRAMEBUFFER)!==pt.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){let R=this.context.gl,ae=this.colorAttachment.get();if(ae&&R.deleteTexture(ae),this.depthAttachment){let we=this.depthAttachment.get();we&&R.deleteRenderbuffer(we)}R.deleteFramebuffer(this.framebuffer)}}class cl{constructor(R,ae,we){this.blendFunction=R,this.blendColor=ae,this.mask=we}}cl.Replace=[1,0],cl.disabled=new cl(cl.Replace,t.aM.transparent,[!1,!1,!1,!1]),cl.unblended=new cl(cl.Replace,t.aM.transparent,[!0,!0,!0,!0]),cl.alphaBlended=new cl([1,771],t.aM.transparent,[!0,!0,!0,!0]);class yh{constructor(R){var ae,we;if(this.gl=R,this.clearColor=new $s(this),this.clearDepth=new ms(this),this.clearStencil=new Is(this),this.colorMask=new rl(this),this.depthMask=new Sn(this),this.stencilMask=new po(this),this.stencilFunc=new ro(this),this.stencilOp=new As(this),this.stencilTest=new al(this),this.depthRange=new $n(this),this.depthTest=new zs(this),this.depthFunc=new au(this),this.blend=new fl(this),this.blendFunc=new xu(this),this.blendColor=new zl(this),this.blendEquation=new Ns(this),this.cullFace=new iu(this),this.cullFaceSide=new Eu(this),this.frontFace=new Bc(this),this.program=new Cu(this),this.activeTexture=new Af(this),this.viewport=new pf(this),this.bindFramebuffer=new Us(this),this.bindRenderbuffer=new Vc(this),this.bindTexture=new Sf(this),this.bindVertexBuffer=new nu(this),this.bindElementBuffer=new Ll(this),this.bindVertexArray=new ic(this),this.pixelStoreUnpack=new Ou(this),this.pixelStoreUnpackPremultiplyAlpha=new il(this),this.pixelStoreUnpackFlipY=new vl(this),this.extTextureFilterAnisotropic=R.getExtension(\"EXT_texture_filter_anisotropic\")||R.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||R.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=R.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=R.getParameter(R.MAX_TEXTURE_SIZE),Bs(R)){this.HALF_FLOAT=R.HALF_FLOAT;let Se=R.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=(ae=R.RGBA16F)!==null&&ae!==void 0?ae:Se?.RGBA16F_EXT,this.RGB16F=(we=R.RGB16F)!==null&&we!==void 0?we:Se?.RGB16F_EXT,R.getExtension(\"EXT_color_buffer_float\")}else{R.getExtension(\"EXT_color_buffer_half_float\"),R.getExtension(\"OES_texture_half_float_linear\");let Se=R.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=Se?.HALF_FLOAT_OES}}setDefault(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()}setDirty(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(R,ae){return new Yo(this,R,ae)}createVertexBuffer(R,ae,we){return new Cn(this,R,ae,we)}createRenderbuffer(R,ae,we){let Se=this.gl,Oe=Se.createRenderbuffer();return this.bindRenderbuffer.set(Oe),Se.renderbufferStorage(Se.RENDERBUFFER,R,ae,we),this.bindRenderbuffer.set(null),Oe}createFramebuffer(R,ae,we,Se){return new qu(this,R,ae,we,Se)}clear({color:R,depth:ae,stencil:we}){let Se=this.gl,Oe=0;R&&(Oe|=Se.COLOR_BUFFER_BIT,this.clearColor.set(R),this.colorMask.set([!0,!0,!0,!0])),ae!==void 0&&(Oe|=Se.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(ae),this.depthMask.set(!0)),we!==void 0&&(Oe|=Se.STENCIL_BUFFER_BIT,this.clearStencil.set(we),this.stencilMask.set(255)),Se.clear(Oe)}setCullFace(R){R.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(R.mode),this.frontFace.set(R.frontFace))}setDepthMode(R){R.func!==this.gl.ALWAYS||R.mask?(this.depthTest.set(!0),this.depthFunc.set(R.func),this.depthMask.set(R.mask),this.depthRange.set(R.range)):this.depthTest.set(!1)}setStencilMode(R){R.test.func!==this.gl.ALWAYS||R.mask?(this.stencilTest.set(!0),this.stencilMask.set(R.mask),this.stencilOp.set([R.fail,R.depthFail,R.pass]),this.stencilFunc.set({func:R.test.func,ref:R.ref,mask:R.test.mask})):this.stencilTest.set(!1)}setColorMode(R){t.aE(R.blendFunction,cl.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(R.blendFunction),this.blendColor.set(R.blendColor)),this.colorMask.set(R.mask)}createVertexArray(){var R;return Bs(this.gl)?this.gl.createVertexArray():(R=this.gl.getExtension(\"OES_vertex_array_object\"))===null||R===void 0?void 0:R.createVertexArrayOES()}deleteVertexArray(R){var ae;return Bs(this.gl)?this.gl.deleteVertexArray(R):(ae=this.gl.getExtension(\"OES_vertex_array_object\"))===null||ae===void 0?void 0:ae.deleteVertexArrayOES(R)}unbindVAO(){this.bindVertexArray.set(null)}}class ls{constructor(R,ae,we){this.func=R,this.mask=ae,this.range=we}}ls.ReadOnly=!1,ls.ReadWrite=!0,ls.disabled=new ls(519,ls.ReadOnly,[0,1]);let _h=7680;class Ss{constructor(R,ae,we,Se,Oe,pt){this.test=R,this.ref=ae,this.mask=we,this.fail=Se,this.depthFail=Oe,this.pass=pt}}Ss.disabled=new Ss({func:519,mask:0},0,0,_h,_h,_h);class Qn{constructor(R,ae,we){this.enable=R,this.mode=ae,this.frontFace=we}}let Gc;function Vu(Ne,R,ae,we,Se){let Oe=Ne.context,pt=Oe.gl,At=Ne.useProgram(\"collisionBox\"),Bt=[],$t=0,br=0;for(let dt=0;dt<we.length;dt++){let Ct=we[dt],wt=R.getTile(Ct).getBucket(ae);if(!wt)continue;let Dt=Se?wt.textCollisionBox:wt.iconCollisionBox,ur=wt.collisionCircleArray;if(ur.length>0){let mr=t.H();t.aQ(mr,wt.placementInvProjMatrix,Ne.transform.glCoordMatrix),t.aQ(mr,mr,wt.placementViewportMatrix),Bt.push({circleArray:ur,circleOffset:br,transform:Ct.posMatrix,invTransform:mr,coord:Ct}),$t+=ur.length/4,br=$t}Dt&&At.draw(Oe,pt.LINES,ls.disabled,Ss.disabled,Ne.colorModeForRenderPass(),Qn.disabled,{u_matrix:Ct.posMatrix,u_pixel_extrude_scale:[1/(Ar=Ne.transform).width,1/Ar.height]},Ne.style.map.terrain&&Ne.style.map.terrain.getTerrainData(Ct),ae.id,Dt.layoutVertexBuffer,Dt.indexBuffer,Dt.segments,null,Ne.transform.zoom,null,null,Dt.collisionVertexBuffer)}var Ar;if(!Se||!Bt.length)return;let Yr=Ne.useProgram(\"collisionCircle\"),sa=new t.aR;sa.resize(4*$t),sa._trim();let He=0;for(let dt of Bt)for(let Ct=0;Ct<dt.circleArray.length/4;Ct++){let wt=4*Ct,Dt=dt.circleArray[wt+0],ur=dt.circleArray[wt+1],mr=dt.circleArray[wt+2],Er=dt.circleArray[wt+3];sa.emplace(He++,Dt,ur,mr,Er,0),sa.emplace(He++,Dt,ur,mr,Er,1),sa.emplace(He++,Dt,ur,mr,Er,2),sa.emplace(He++,Dt,ur,mr,Er,3)}(!Gc||Gc.length<2*$t)&&(Gc=function(dt){let Ct=2*dt,wt=new t.aT;wt.resize(Ct),wt._trim();for(let Dt=0;Dt<Ct;Dt++){let ur=6*Dt;wt.uint16[ur+0]=4*Dt+0,wt.uint16[ur+1]=4*Dt+1,wt.uint16[ur+2]=4*Dt+2,wt.uint16[ur+3]=4*Dt+2,wt.uint16[ur+4]=4*Dt+3,wt.uint16[ur+5]=4*Dt+0}return wt}($t));let Je=Oe.createIndexBuffer(Gc,!0),ut=Oe.createVertexBuffer(sa,t.aS.members,!0);for(let dt of Bt){let Ct=kn(dt.transform,dt.invTransform,Ne.transform);Yr.draw(Oe,pt.TRIANGLES,ls.disabled,Ss.disabled,Ne.colorModeForRenderPass(),Qn.disabled,Ct,Ne.style.map.terrain&&Ne.style.map.terrain.getTerrainData(dt.coord),ae.id,ut,Je,t.a0.simpleSegment(0,2*dt.circleOffset,dt.circleArray.length,dt.circleArray.length/2),null,Ne.transform.zoom,null,null,null)}ut.destroy(),Je.destroy()}Qn.disabled=new Qn(!1,1029,2305),Qn.backCCW=new Qn(!0,1029,2305);let Ul=t.an(new Float32Array(16));function Mf(Ne,R,ae,we,Se,Oe){let{horizontalAlign:pt,verticalAlign:At}=t.au(Ne);return new t.P((-(pt-.5)*R/Se+we[0])*Oe,(-(At-.5)*ae/Se+we[1])*Oe)}function wc(Ne,R,ae,we,Se,Oe){let pt=R.tileAnchorPoint.add(new t.P(R.translation[0],R.translation[1]));if(R.pitchWithMap){let At=we.mult(Oe);ae||(At=At.rotate(-Se));let Bt=pt.add(At);return bt(Bt.x,Bt.y,R.labelPlaneMatrix,R.getElevation).point}if(ae){let At=at(R.tileAnchorPoint.x+1,R.tileAnchorPoint.y,R).point.sub(Ne),Bt=Math.atan(At.y/At.x)+(At.x<0?Math.PI:0);return Ne.add(we.rotate(Bt))}return Ne.add(we)}function rf(Ne,R,ae,we,Se,Oe,pt,At,Bt,$t,br,Ar,Yr,sa){let He=Ne.text.placedSymbolArray,Je=Ne.text.dynamicLayoutVertexArray,ut=Ne.icon.dynamicLayoutVertexArray,dt={};Je.clear();for(let Ct=0;Ct<He.length;Ct++){let wt=He.get(Ct),Dt=wt.hidden||!wt.crossTileID||Ne.allowVerticalPlacement&&!wt.placedOrientation?null:we[wt.crossTileID];if(Dt){let ur=new t.P(wt.anchorX,wt.anchorY),mr={getElevation:sa,width:Se.width,height:Se.height,labelPlaneMatrix:Oe,lineVertexArray:null,pitchWithMap:ae,projection:br,projectionCache:null,tileAnchorPoint:ur,translation:Ar,unwrappedTileID:Yr},Er=ae?bt(ur.x,ur.y,pt,sa):at(ur.x,ur.y,mr),Br=Be(Se.cameraToCenterDistance,Er.signedDistanceFromCamera),Qr=t.ai(Ne.textSizeData,Bt,wt)*Br/t.ap;ae&&(Qr*=Ne.tilePixelRatio/At);let{width:ga,height:Sa,anchor:Oa,textOffset:di,textBoxScale:Wi}=Dt,Gi=Mf(Oa,ga,Sa,di,Wi,Qr),on=br.getPitchedTextCorrection(Se,ur.add(new t.P(Ar[0],Ar[1])),Yr),Tn=wc(Er.point,mr,R,Gi,Se.angle,on),Wn=Ne.allowVerticalPlacement&&wt.placedOrientation===t.ah.vertical?Math.PI/2:0;for(let Bn=0;Bn<wt.numGlyphs;Bn++)t.aj(Je,Tn,Wn);$t&&wt.associatedIconIndex>=0&&(dt[wt.associatedIconIndex]={shiftedAnchor:Tn,angle:Wn})}else rr(wt.numGlyphs,Je)}if($t){ut.clear();let Ct=Ne.icon.placedSymbolArray;for(let wt=0;wt<Ct.length;wt++){let Dt=Ct.get(wt);if(Dt.hidden)rr(Dt.numGlyphs,ut);else{let ur=dt[wt];if(ur)for(let mr=0;mr<Dt.numGlyphs;mr++)t.aj(ut,ur.shiftedAnchor,ur.angle);else rr(Dt.numGlyphs,ut)}}Ne.icon.dynamicLayoutVertexBuffer.updateData(ut)}Ne.text.dynamicLayoutVertexBuffer.updateData(Je)}function Kl(Ne,R,ae){return ae.iconsInText&&R?\"symbolTextAndIcon\":Ne?\"symbolSDF\":\"symbolIcon\"}function Yf(Ne,R,ae,we,Se,Oe,pt,At,Bt,$t,br,Ar){let Yr=Ne.context,sa=Yr.gl,He=Ne.transform,Je=mi(),ut=At===\"map\",dt=Bt===\"map\",Ct=At!==\"viewport\"&&ae.layout.get(\"symbol-placement\")!==\"point\",wt=ut&&!dt&&!Ct,Dt=!dt&&Ct,ur=!ae.layout.get(\"symbol-sort-key\").isConstant(),mr=!1,Er=Ne.depthModeForSublayer(0,ls.ReadOnly),Br=ae._unevaluatedLayout.hasValue(\"text-variable-anchor\")||ae._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),Qr=[],ga=Je.getCircleRadiusCorrection(He);for(let Sa of we){let Oa=R.getTile(Sa),di=Oa.getBucket(ae);if(!di)continue;let Wi=Se?di.text:di.icon;if(!Wi||!Wi.segments.get().length||!Wi.hasVisibleVertices)continue;let Gi=Wi.programConfigurations.get(ae.id),on=Se||di.sdfIcons,Tn=Se?di.textSizeData:di.iconSizeData,Wn=dt||He.pitch!==0,Bn=Ne.useProgram(Kl(on,Se,di),Gi),Ao=t.ag(Tn,He.zoom),ss=Ne.style.map.terrain&&Ne.style.map.terrain.getTerrainData(Sa),So,Ko,hs,ll,Js=[0,0],es=null;if(Se)Ko=Oa.glyphAtlasTexture,hs=sa.LINEAR,So=Oa.glyphAtlasTexture.size,di.iconsInText&&(Js=Oa.imageAtlasTexture.size,es=Oa.imageAtlasTexture,ll=Wn||Ne.options.rotating||Ne.options.zooming||Tn.kind===\"composite\"||Tn.kind===\"camera\"?sa.LINEAR:sa.NEAREST);else{let St=ae.layout.get(\"icon-size\").constantOr(0)!==1||di.iconsNeedLinear;Ko=Oa.imageAtlasTexture,hs=on||Ne.options.rotating||Ne.options.zooming||St||Wn?sa.LINEAR:sa.NEAREST,So=Oa.imageAtlasTexture.size}let ts=Ua(Oa,1,Ne.transform.zoom),Pl=Dt?Sa.posMatrix:Ul,$l=wr(Pl,dt,ut,Ne.transform,ts),Ru=Ir(Pl,dt,ut,Ne.transform,ts),hu=Ir(Sa.posMatrix,dt,ut,Ne.transform,ts),wl=Je.translatePosition(Ne.transform,Oa,Oe,pt),su=Br&&di.hasTextData(),uc=ae.layout.get(\"icon-text-fit\")!==\"none\"&&su&&di.hasIconData();if(Ct){let St=Ne.style.map.terrain?(zt,gr)=>Ne.style.map.terrain.getElevation(Sa,zt,gr):null,ar=ae.layout.get(\"text-rotation-alignment\")===\"map\";Ue(di,Sa.posMatrix,Ne,Se,$l,hu,dt,$t,ar,Je,Sa.toUnwrapped(),He.width,He.height,wl,St)}let ql=Sa.posMatrix,Vl=Se&&Br||uc,de=Ct||Vl?Ul:$l,De=Ru,et=on&&ae.paint.get(Se?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,vt;vt=on?di.iconsInText?Co(Tn.kind,Ao,wt,dt,Ct,Vl,Ne,ql,de,De,wl,So,Js,ga):lo(Tn.kind,Ao,wt,dt,Ct,Vl,Ne,ql,de,De,wl,Se,So,!0,ga):Oo(Tn.kind,Ao,wt,dt,Ct,Vl,Ne,ql,de,De,wl,Se,So,ga);let _t={program:Bn,buffers:Wi,uniformValues:vt,atlasTexture:Ko,atlasTextureIcon:es,atlasInterpolation:hs,atlasInterpolationIcon:ll,isSDF:on,hasHalo:et};if(ur&&di.canOverlap){mr=!0;let St=Wi.segments.get();for(let ar of St)Qr.push({segments:new t.a0([ar]),sortKey:ar.sortKey,state:_t,terrainData:ss})}else Qr.push({segments:Wi.segments,sortKey:0,state:_t,terrainData:ss})}mr&&Qr.sort((Sa,Oa)=>Sa.sortKey-Oa.sortKey);for(let Sa of Qr){let Oa=Sa.state;if(Yr.activeTexture.set(sa.TEXTURE0),Oa.atlasTexture.bind(Oa.atlasInterpolation,sa.CLAMP_TO_EDGE),Oa.atlasTextureIcon&&(Yr.activeTexture.set(sa.TEXTURE1),Oa.atlasTextureIcon&&Oa.atlasTextureIcon.bind(Oa.atlasInterpolationIcon,sa.CLAMP_TO_EDGE)),Oa.isSDF){let di=Oa.uniformValues;Oa.hasHalo&&(di.u_is_halo=1,zf(Oa.buffers,Sa.segments,ae,Ne,Oa.program,Er,br,Ar,di,Sa.terrainData)),di.u_is_halo=0}zf(Oa.buffers,Sa.segments,ae,Ne,Oa.program,Er,br,Ar,Oa.uniformValues,Sa.terrainData)}}function zf(Ne,R,ae,we,Se,Oe,pt,At,Bt,$t){let br=we.context;Se.draw(br,br.gl.TRIANGLES,Oe,pt,At,Qn.disabled,Bt,$t,ae.id,Ne.layoutVertexBuffer,Ne.indexBuffer,R,ae.paint,we.transform.zoom,Ne.programConfigurations.get(ae.id),Ne.dynamicLayoutVertexBuffer,Ne.opacityVertexBuffer)}function af(Ne,R,ae,we){let Se=Ne.context,Oe=Se.gl,pt=Ss.disabled,At=new cl([Oe.ONE,Oe.ONE],t.aM.transparent,[!0,!0,!0,!0]),Bt=R.getBucket(ae);if(!Bt)return;let $t=we.key,br=ae.heatmapFbos.get($t);br||(br=Ff(Se,R.tileSize,R.tileSize),ae.heatmapFbos.set($t,br)),Se.bindFramebuffer.set(br.framebuffer),Se.viewport.set([0,0,R.tileSize,R.tileSize]),Se.clear({color:t.aM.transparent});let Ar=Bt.programConfigurations.get(ae.id),Yr=Ne.useProgram(\"heatmap\",Ar),sa=Ne.style.map.terrain.getTerrainData(we);Yr.draw(Se,Oe.TRIANGLES,ls.disabled,pt,At,Qn.disabled,to(we.posMatrix,R,Ne.transform.zoom,ae.paint.get(\"heatmap-intensity\")),sa,ae.id,Bt.layoutVertexBuffer,Bt.indexBuffer,Bt.segments,ae.paint,Ne.transform.zoom,Ar)}function Nc(Ne,R,ae){let we=Ne.context,Se=we.gl;we.setColorMode(Ne.colorModeForRenderPass());let Oe=Of(we,R),pt=ae.key,At=R.heatmapFbos.get(pt);At&&(we.activeTexture.set(Se.TEXTURE0),Se.bindTexture(Se.TEXTURE_2D,At.colorAttachment.get()),we.activeTexture.set(Se.TEXTURE1),Oe.bind(Se.LINEAR,Se.CLAMP_TO_EDGE),Ne.useProgram(\"heatmapTexture\").draw(we,Se.TRIANGLES,ls.disabled,Ss.disabled,Ne.colorModeForRenderPass(),Qn.disabled,mo(Ne,R,0,1),null,R.id,Ne.rasterBoundsBuffer,Ne.quadTriangleIndexBuffer,Ne.rasterBoundsSegments,R.paint,Ne.transform.zoom),At.destroy(),R.heatmapFbos.delete(pt))}function Ff(Ne,R,ae){var we,Se;let Oe=Ne.gl,pt=Oe.createTexture();Oe.bindTexture(Oe.TEXTURE_2D,pt),Oe.texParameteri(Oe.TEXTURE_2D,Oe.TEXTURE_WRAP_S,Oe.CLAMP_TO_EDGE),Oe.texParameteri(Oe.TEXTURE_2D,Oe.TEXTURE_WRAP_T,Oe.CLAMP_TO_EDGE),Oe.texParameteri(Oe.TEXTURE_2D,Oe.TEXTURE_MIN_FILTER,Oe.LINEAR),Oe.texParameteri(Oe.TEXTURE_2D,Oe.TEXTURE_MAG_FILTER,Oe.LINEAR);let At=(we=Ne.HALF_FLOAT)!==null&&we!==void 0?we:Oe.UNSIGNED_BYTE,Bt=(Se=Ne.RGBA16F)!==null&&Se!==void 0?Se:Oe.RGBA;Oe.texImage2D(Oe.TEXTURE_2D,0,Bt,R,ae,0,Oe.RGBA,At,null);let $t=Ne.createFramebuffer(R,ae,!1,!1);return $t.colorAttachment.set(pt),$t}function Of(Ne,R){return R.colorRampTexture||(R.colorRampTexture=new u(Ne,R.colorRamp,Ne.gl.RGBA)),R.colorRampTexture}function Gu(Ne,R,ae,we,Se){if(!ae||!we||!we.imageAtlas)return;let Oe=we.imageAtlas.patternPositions,pt=Oe[ae.to.toString()],At=Oe[ae.from.toString()];if(!pt&&At&&(pt=At),!At&&pt&&(At=pt),!pt||!At){let Bt=Se.getPaintProperty(R);pt=Oe[Bt],At=Oe[Bt]}pt&&At&&Ne.setConstantPatternPositions(pt,At)}function Ef(Ne,R,ae,we,Se,Oe,pt){let At=Ne.context.gl,Bt=\"fill-pattern\",$t=ae.paint.get(Bt),br=$t&&$t.constantOr(1),Ar=ae.getCrossfadeParameters(),Yr,sa,He,Je,ut;pt?(sa=br&&!ae.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",Yr=At.LINES):(sa=br?\"fillPattern\":\"fill\",Yr=At.TRIANGLES);let dt=$t.constantOr(null);for(let Ct of we){let wt=R.getTile(Ct);if(br&&!wt.patternsLoaded())continue;let Dt=wt.getBucket(ae);if(!Dt)continue;let ur=Dt.programConfigurations.get(ae.id),mr=Ne.useProgram(sa,ur),Er=Ne.style.map.terrain&&Ne.style.map.terrain.getTerrainData(Ct);br&&(Ne.context.activeTexture.set(At.TEXTURE0),wt.imageAtlasTexture.bind(At.LINEAR,At.CLAMP_TO_EDGE),ur.updatePaintBuffers(Ar)),Gu(ur,Bt,dt,wt,ae);let Br=Er?Ct:null,Qr=Ne.translatePosMatrix(Br?Br.posMatrix:Ct.posMatrix,wt,ae.paint.get(\"fill-translate\"),ae.paint.get(\"fill-translate-anchor\"));if(pt){Je=Dt.indexBuffer2,ut=Dt.segments2;let ga=[At.drawingBufferWidth,At.drawingBufferHeight];He=sa===\"fillOutlinePattern\"&&br?fn(Qr,Ne,Ar,wt,ga):Li(Qr,ga)}else Je=Dt.indexBuffer,ut=Dt.segments,He=br?Xi(Qr,Ne,Ar,wt):Da(Qr);mr.draw(Ne.context,Yr,Se,Ne.stencilModeForClipping(Ct),Oe,Qn.disabled,He,Er,ae.id,Dt.layoutVertexBuffer,Je,ut,ae.paint,Ne.transform.zoom,ur)}}function oc(Ne,R,ae,we,Se,Oe,pt){let At=Ne.context,Bt=At.gl,$t=\"fill-extrusion-pattern\",br=ae.paint.get($t),Ar=br.constantOr(1),Yr=ae.getCrossfadeParameters(),sa=ae.paint.get(\"fill-extrusion-opacity\"),He=br.constantOr(null);for(let Je of we){let ut=R.getTile(Je),dt=ut.getBucket(ae);if(!dt)continue;let Ct=Ne.style.map.terrain&&Ne.style.map.terrain.getTerrainData(Je),wt=dt.programConfigurations.get(ae.id),Dt=Ne.useProgram(Ar?\"fillExtrusionPattern\":\"fillExtrusion\",wt);Ar&&(Ne.context.activeTexture.set(Bt.TEXTURE0),ut.imageAtlasTexture.bind(Bt.LINEAR,Bt.CLAMP_TO_EDGE),wt.updatePaintBuffers(Yr)),Gu(wt,$t,He,ut,ae);let ur=Ne.translatePosMatrix(Je.posMatrix,ut,ae.paint.get(\"fill-extrusion-translate\"),ae.paint.get(\"fill-extrusion-translate-anchor\")),mr=ae.paint.get(\"fill-extrusion-vertical-gradient\"),Er=Ar?ha(ur,Ne,mr,sa,Je,Yr,ut):Ya(ur,Ne,mr,sa);Dt.draw(At,At.gl.TRIANGLES,Se,Oe,pt,Qn.backCCW,Er,Ct,ae.id,dt.layoutVertexBuffer,dt.indexBuffer,dt.segments,ae.paint,Ne.transform.zoom,wt,Ne.style.map.terrain&&dt.centroidVertexBuffer)}}function Hc(Ne,R,ae,we,Se,Oe,pt){let At=Ne.context,Bt=At.gl,$t=ae.fbo;if(!$t)return;let br=Ne.useProgram(\"hillshade\"),Ar=Ne.style.map.terrain&&Ne.style.map.terrain.getTerrainData(R);At.activeTexture.set(Bt.TEXTURE0),Bt.bindTexture(Bt.TEXTURE_2D,$t.colorAttachment.get()),br.draw(At,Bt.TRIANGLES,Se,Oe,pt,Qn.disabled,((Yr,sa,He,Je)=>{let ut=He.paint.get(\"hillshade-shadow-color\"),dt=He.paint.get(\"hillshade-highlight-color\"),Ct=He.paint.get(\"hillshade-accent-color\"),wt=He.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);He.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(wt-=Yr.transform.angle);let Dt=!Yr.options.moving;return{u_matrix:Je?Je.posMatrix:Yr.transform.calculatePosMatrix(sa.tileID.toUnwrapped(),Dt),u_image:0,u_latrange:pn(0,sa.tileID),u_light:[He.paint.get(\"hillshade-exaggeration\"),wt],u_shadow:ut,u_highlight:dt,u_accent:Ct}})(Ne,ae,we,Ar?R:null),Ar,we.id,Ne.rasterBoundsBuffer,Ne.quadTriangleIndexBuffer,Ne.rasterBoundsSegments)}function Jl(Ne,R,ae,we,Se,Oe){let pt=Ne.context,At=pt.gl,Bt=R.dem;if(Bt&&Bt.data){let $t=Bt.dim,br=Bt.stride,Ar=Bt.getPixels();if(pt.activeTexture.set(At.TEXTURE1),pt.pixelStoreUnpackPremultiplyAlpha.set(!1),R.demTexture=R.demTexture||Ne.getTileTexture(br),R.demTexture){let sa=R.demTexture;sa.update(Ar,{premultiply:!1}),sa.bind(At.NEAREST,At.CLAMP_TO_EDGE)}else R.demTexture=new u(pt,Ar,At.RGBA,{premultiply:!1}),R.demTexture.bind(At.NEAREST,At.CLAMP_TO_EDGE);pt.activeTexture.set(At.TEXTURE0);let Yr=R.fbo;if(!Yr){let sa=new u(pt,{width:$t,height:$t,data:null},At.RGBA);sa.bind(At.LINEAR,At.CLAMP_TO_EDGE),Yr=R.fbo=pt.createFramebuffer($t,$t,!0,!1),Yr.colorAttachment.set(sa.texture)}pt.bindFramebuffer.set(Yr.framebuffer),pt.viewport.set([0,0,$t,$t]),Ne.useProgram(\"hillshadePrepare\").draw(pt,At.TRIANGLES,we,Se,Oe,Qn.disabled,((sa,He)=>{let Je=He.stride,ut=t.H();return t.aP(ut,0,t.X,-t.X,0,0,1),t.J(ut,ut,[0,-t.X,0]),{u_matrix:ut,u_image:1,u_dimension:[Je,Je],u_zoom:sa.overscaledZ,u_unpack:He.getUnpackVector()}})(R.tileID,Bt),null,ae.id,Ne.rasterBoundsBuffer,Ne.quadTriangleIndexBuffer,Ne.rasterBoundsSegments),R.needsHillshadePrepare=!1}}function Uc(Ne,R,ae,we,Se,Oe){let pt=we.paint.get(\"raster-fade-duration\");if(!Oe&&pt>0){let At=i.now(),Bt=(At-Ne.timeAdded)/pt,$t=R?(At-R.timeAdded)/pt:-1,br=ae.getSource(),Ar=Se.coveringZoomLevel({tileSize:br.tileSize,roundZoom:br.roundZoom}),Yr=!R||Math.abs(R.tileID.overscaledZ-Ar)>Math.abs(Ne.tileID.overscaledZ-Ar),sa=Yr&&Ne.refreshedUponExpiration?1:t.ac(Yr?Bt:1-$t,0,1);return Ne.refreshedUponExpiration&&Bt>=1&&(Ne.refreshedUponExpiration=!1),R?{opacity:1,mix:1-sa}:{opacity:sa,mix:0}}return{opacity:1,mix:0}}let Tc=new t.aM(1,0,0,1),Gs=new t.aM(0,1,0,1),Cf=new t.aM(0,0,1,1),lh=new t.aM(1,0,1,1),Bf=new t.aM(0,1,1,1);function Wc(Ne,R,ae,we){ku(Ne,0,R+ae/2,Ne.transform.width,ae,we)}function Kf(Ne,R,ae,we){ku(Ne,R-ae/2,0,ae,Ne.transform.height,we)}function ku(Ne,R,ae,we,Se,Oe){let pt=Ne.context,At=pt.gl;At.enable(At.SCISSOR_TEST),At.scissor(R*Ne.pixelRatio,ae*Ne.pixelRatio,we*Ne.pixelRatio,Se*Ne.pixelRatio),pt.clear({color:Oe}),At.disable(At.SCISSOR_TEST)}function Nf(Ne,R,ae){let we=Ne.context,Se=we.gl,Oe=ae.posMatrix,pt=Ne.useProgram(\"debug\"),At=ls.disabled,Bt=Ss.disabled,$t=Ne.colorModeForRenderPass(),br=\"$debug\",Ar=Ne.style.map.terrain&&Ne.style.map.terrain.getTerrainData(ae);we.activeTexture.set(Se.TEXTURE0);let Yr=R.getTileByID(ae.key).latestRawTileData,sa=Math.floor((Yr&&Yr.byteLength||0)/1024),He=R.getTile(ae).tileSize,Je=512/Math.min(He,512)*(ae.overscaledZ/Ne.transform.zoom)*.5,ut=ae.canonical.toString();ae.overscaledZ!==ae.canonical.z&&(ut+=` => ${ae.overscaledZ}`),function(dt,Ct){dt.initDebugOverlayCanvas();let wt=dt.debugOverlayCanvas,Dt=dt.context.gl,ur=dt.debugOverlayCanvas.getContext(\"2d\");ur.clearRect(0,0,wt.width,wt.height),ur.shadowColor=\"white\",ur.shadowBlur=2,ur.lineWidth=1.5,ur.strokeStyle=\"white\",ur.textBaseline=\"top\",ur.font=\"bold 36px Open Sans, sans-serif\",ur.fillText(Ct,5,5),ur.strokeText(Ct,5,5),dt.debugOverlayTexture.update(wt),dt.debugOverlayTexture.bind(Dt.LINEAR,Dt.CLAMP_TO_EDGE)}(Ne,`${ut} ${sa}kB`),pt.draw(we,Se.TRIANGLES,At,Bt,cl.alphaBlended,Qn.disabled,zn(Oe,t.aM.transparent,Je),null,br,Ne.debugBuffer,Ne.quadTriangleIndexBuffer,Ne.debugSegments),pt.draw(we,Se.LINE_STRIP,At,Bt,$t,Qn.disabled,zn(Oe,t.aM.red),Ar,br,Ne.debugBuffer,Ne.tileBorderIndexBuffer,Ne.debugSegments)}function ml(Ne,R,ae){let we=Ne.context,Se=we.gl,Oe=Ne.colorModeForRenderPass(),pt=new ls(Se.LEQUAL,ls.ReadWrite,Ne.depthRangeFor3D),At=Ne.useProgram(\"terrain\"),Bt=R.getTerrainMesh();we.bindFramebuffer.set(null),we.viewport.set([0,0,Ne.width,Ne.height]);for(let $t of ae){let br=Ne.renderToTexture.getTexture($t),Ar=R.getTerrainData($t.tileID);we.activeTexture.set(Se.TEXTURE0),Se.bindTexture(Se.TEXTURE_2D,br.texture);let Yr=Ne.transform.calculatePosMatrix($t.tileID.toUnwrapped()),sa=R.getMeshFrameDelta(Ne.transform.zoom),He=Ne.transform.calculateFogMatrix($t.tileID.toUnwrapped()),Je=kr(Yr,sa,He,Ne.style.sky,Ne.transform.pitch);At.draw(we,Se.TRIANGLES,pt,Ss.disabled,Oe,Qn.backCCW,Je,Ar,\"terrain\",Bt.vertexBuffer,Bt.indexBuffer,Bt.segments)}}class Lu{constructor(R,ae,we){this.vertexBuffer=R,this.indexBuffer=ae,this.segments=we}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Ac{constructor(R,ae){this.context=new yh(R),this.transform=ae,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:t.an(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=kt.maxUnderzooming+kt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Gr}resize(R,ae,we){if(this.width=Math.floor(R*we),this.height=Math.floor(ae*we),this.pixelRatio=we,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(let Se of this.style._order)this.style._layers[Se].resize()}setup(){let R=this.context,ae=new t.aX;ae.emplaceBack(0,0),ae.emplaceBack(t.X,0),ae.emplaceBack(0,t.X),ae.emplaceBack(t.X,t.X),this.tileExtentBuffer=R.createVertexBuffer(ae,da.members),this.tileExtentSegments=t.a0.simpleSegment(0,0,4,2);let we=new t.aX;we.emplaceBack(0,0),we.emplaceBack(t.X,0),we.emplaceBack(0,t.X),we.emplaceBack(t.X,t.X),this.debugBuffer=R.createVertexBuffer(we,da.members),this.debugSegments=t.a0.simpleSegment(0,0,4,5);let Se=new t.$;Se.emplaceBack(0,0,0,0),Se.emplaceBack(t.X,0,t.X,0),Se.emplaceBack(0,t.X,0,t.X),Se.emplaceBack(t.X,t.X,t.X,t.X),this.rasterBoundsBuffer=R.createVertexBuffer(Se,Xe.members),this.rasterBoundsSegments=t.a0.simpleSegment(0,0,4,2);let Oe=new t.aX;Oe.emplaceBack(0,0),Oe.emplaceBack(1,0),Oe.emplaceBack(0,1),Oe.emplaceBack(1,1),this.viewportBuffer=R.createVertexBuffer(Oe,da.members),this.viewportSegments=t.a0.simpleSegment(0,0,4,2);let pt=new t.aZ;pt.emplaceBack(0),pt.emplaceBack(1),pt.emplaceBack(3),pt.emplaceBack(2),pt.emplaceBack(0),this.tileBorderIndexBuffer=R.createIndexBuffer(pt);let At=new t.aY;At.emplaceBack(0,1,2),At.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=R.createIndexBuffer(At);let Bt=this.context.gl;this.stencilClearMode=new Ss({func:Bt.ALWAYS,mask:0},0,255,Bt.ZERO,Bt.ZERO,Bt.ZERO)}clearStencil(){let R=this.context,ae=R.gl;this.nextStencilID=1,this.currentStencilSource=void 0;let we=t.H();t.aP(we,0,this.width,this.height,0,0,1),t.K(we,we,[ae.drawingBufferWidth,ae.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(R,ae.TRIANGLES,ls.disabled,this.stencilClearMode,cl.disabled,Qn.disabled,Xn(we),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(R,ae){if(this.currentStencilSource===R.source||!R.isTileClipped()||!ae||!ae.length)return;this.currentStencilSource=R.source;let we=this.context,Se=we.gl;this.nextStencilID+ae.length>256&&this.clearStencil(),we.setColorMode(cl.disabled),we.setDepthMode(ls.disabled);let Oe=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(let pt of ae){let At=this._tileClippingMaskIDs[pt.key]=this.nextStencilID++,Bt=this.style.map.terrain&&this.style.map.terrain.getTerrainData(pt);Oe.draw(we,Se.TRIANGLES,ls.disabled,new Ss({func:Se.ALWAYS,mask:0},At,255,Se.KEEP,Se.KEEP,Se.REPLACE),cl.disabled,Qn.disabled,Xn(pt.posMatrix),Bt,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();let R=this.nextStencilID++,ae=this.context.gl;return new Ss({func:ae.NOTEQUAL,mask:255},R,255,ae.KEEP,ae.KEEP,ae.REPLACE)}stencilModeForClipping(R){let ae=this.context.gl;return new Ss({func:ae.EQUAL,mask:255},this._tileClippingMaskIDs[R.key],0,ae.KEEP,ae.KEEP,ae.REPLACE)}stencilConfigForOverlap(R){let ae=this.context.gl,we=R.sort((pt,At)=>At.overscaledZ-pt.overscaledZ),Se=we[we.length-1].overscaledZ,Oe=we[0].overscaledZ-Se+1;if(Oe>1){this.currentStencilSource=void 0,this.nextStencilID+Oe>256&&this.clearStencil();let pt={};for(let At=0;At<Oe;At++)pt[At+Se]=new Ss({func:ae.GEQUAL,mask:255},At+this.nextStencilID,255,ae.KEEP,ae.KEEP,ae.REPLACE);return this.nextStencilID+=Oe,[pt,we]}return[{[Se]:Ss.disabled},we]}colorModeForRenderPass(){let R=this.context.gl;return this._showOverdrawInspector?new cl([R.CONSTANT_COLOR,R.ONE],new t.aM(.125,.125,.125,0),[!0,!0,!0,!0]):this.renderPass===\"opaque\"?cl.unblended:cl.alphaBlended}depthModeForSublayer(R,ae,we){if(!this.opaquePassEnabledForLayer())return ls.disabled;let Se=1-((1+this.currentLayer)*this.numSublayers+R)*this.depthEpsilon;return new ls(we||this.context.gl.LEQUAL,ae,[Se,Se])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(R,ae){this.style=R,this.options=ae,this.lineAtlas=R.lineAtlas,this.imageManager=R.imageManager,this.glyphManager=R.glyphManager,this.symbolFadeChange=R.placement.symbolFadeChange(i.now()),this.imageManager.beginFrame();let we=this.style._order,Se=this.style.sourceCaches,Oe={},pt={},At={};for(let Bt in Se){let $t=Se[Bt];$t.used&&$t.prepare(this.context),Oe[Bt]=$t.getVisibleCoordinates(),pt[Bt]=Oe[Bt].slice().reverse(),At[Bt]=$t.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let Bt=0;Bt<we.length;Bt++)if(this.style._layers[we[Bt]].is3D()){this.opaquePassCutoff=Bt;break}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(let Bt of we){let $t=this.style._layers[Bt];if(!$t.hasOffscreenPass()||$t.isHidden(this.transform.zoom))continue;let br=pt[$t.source];($t.type===\"custom\"||br.length)&&this.renderLayer(this,Se[$t.source],$t,br)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:ae.showOverdrawInspector?t.aM.black:t.aM.transparent,depth:1}),this.clearStencil(),this.style.sky&&function(Bt,$t){let br=Bt.context,Ar=br.gl,Yr=((dt,Ct,wt)=>({u_sky_color:dt.properties.get(\"sky-color\"),u_horizon_color:dt.properties.get(\"horizon-color\"),u_horizon:(Ct.height/2+Ct.getHorizon())*wt,u_sky_horizon_blend:dt.properties.get(\"sky-horizon-blend\")*Ct.height/2*wt}))($t,Bt.style.map.transform,Bt.pixelRatio),sa=new ls(Ar.LEQUAL,ls.ReadWrite,[0,1]),He=Ss.disabled,Je=Bt.colorModeForRenderPass(),ut=Bt.useProgram(\"sky\");if(!$t.mesh){let dt=new t.aX;dt.emplaceBack(-1,-1),dt.emplaceBack(1,-1),dt.emplaceBack(1,1),dt.emplaceBack(-1,1);let Ct=new t.aY;Ct.emplaceBack(0,1,2),Ct.emplaceBack(0,2,3),$t.mesh=new Lu(br.createVertexBuffer(dt,da.members),br.createIndexBuffer(Ct),t.a0.simpleSegment(0,0,dt.length,Ct.length))}ut.draw(br,Ar.TRIANGLES,sa,He,Je,Qn.disabled,Yr,void 0,\"sky\",$t.mesh.vertexBuffer,$t.mesh.indexBuffer,$t.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=ae.showOverdrawInspector,this.depthRangeFor3D=[0,1-(R._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=we.length-1;this.currentLayer>=0;this.currentLayer--){let Bt=this.style._layers[we[this.currentLayer]],$t=Se[Bt.source],br=Oe[Bt.source];this._renderTileClippingMasks(Bt,br),this.renderLayer(this,$t,Bt,br)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<we.length;this.currentLayer++){let Bt=this.style._layers[we[this.currentLayer]],$t=Se[Bt.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(Bt))continue;let br=(Bt.type===\"symbol\"?At:pt)[Bt.source];this._renderTileClippingMasks(Bt,Oe[Bt.source]),this.renderLayer(this,$t,Bt,br)}if(this.options.showTileBoundaries){let Bt=function($t,br){let Ar=null,Yr=Object.values($t._layers).flatMap(ut=>ut.source&&!ut.isHidden(br)?[$t.sourceCaches[ut.source]]:[]),sa=Yr.filter(ut=>ut.getSource().type===\"vector\"),He=Yr.filter(ut=>ut.getSource().type!==\"vector\"),Je=ut=>{(!Ar||Ar.getSource().maxzoom<ut.getSource().maxzoom)&&(Ar=ut)};return sa.forEach(ut=>Je(ut)),Ar||He.forEach(ut=>Je(ut)),Ar}(this.style,this.transform.zoom);Bt&&function($t,br,Ar){for(let Yr=0;Yr<Ar.length;Yr++)Nf($t,br,Ar[Yr])}(this,Bt,Bt.getVisibleCoordinates())}this.options.showPadding&&function(Bt){let $t=Bt.transform.padding;Wc(Bt,Bt.transform.height-($t.top||0),3,Tc),Wc(Bt,$t.bottom||0,3,Gs),Kf(Bt,$t.left||0,3,Cf),Kf(Bt,Bt.transform.width-($t.right||0),3,lh);let br=Bt.transform.centerPoint;(function(Ar,Yr,sa,He){ku(Ar,Yr-1,sa-10,2,20,He),ku(Ar,Yr-10,sa-1,20,2,He)})(Bt,br.x,Bt.transform.height-br.y,Bf)}(this),this.context.setDefault()}maybeDrawDepthAndCoords(R){if(!this.style||!this.style.map||!this.style.map.terrain)return;let ae=this.terrainFacilitator.matrix,we=this.transform.modelViewProjectionMatrix,Se=this.terrainFacilitator.dirty;Se||(Se=R?!t.a_(ae,we):!t.a$(ae,we)),Se||(Se=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),Se&&(t.b0(ae,we),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(Oe,pt){let At=Oe.context,Bt=At.gl,$t=cl.unblended,br=new ls(Bt.LEQUAL,ls.ReadWrite,[0,1]),Ar=pt.getTerrainMesh(),Yr=pt.sourceCache.getRenderableTiles(),sa=Oe.useProgram(\"terrainDepth\");At.bindFramebuffer.set(pt.getFramebuffer(\"depth\").framebuffer),At.viewport.set([0,0,Oe.width/devicePixelRatio,Oe.height/devicePixelRatio]),At.clear({color:t.aM.transparent,depth:1});for(let He of Yr){let Je=pt.getTerrainData(He.tileID),ut={u_matrix:Oe.transform.calculatePosMatrix(He.tileID.toUnwrapped()),u_ele_delta:pt.getMeshFrameDelta(Oe.transform.zoom)};sa.draw(At,Bt.TRIANGLES,br,Ss.disabled,$t,Qn.backCCW,ut,Je,\"terrain\",Ar.vertexBuffer,Ar.indexBuffer,Ar.segments)}At.bindFramebuffer.set(null),At.viewport.set([0,0,Oe.width,Oe.height])}(this,this.style.map.terrain),function(Oe,pt){let At=Oe.context,Bt=At.gl,$t=cl.unblended,br=new ls(Bt.LEQUAL,ls.ReadWrite,[0,1]),Ar=pt.getTerrainMesh(),Yr=pt.getCoordsTexture(),sa=pt.sourceCache.getRenderableTiles(),He=Oe.useProgram(\"terrainCoords\");At.bindFramebuffer.set(pt.getFramebuffer(\"coords\").framebuffer),At.viewport.set([0,0,Oe.width/devicePixelRatio,Oe.height/devicePixelRatio]),At.clear({color:t.aM.transparent,depth:1}),pt.coordsIndex=[];for(let Je of sa){let ut=pt.getTerrainData(Je.tileID);At.activeTexture.set(Bt.TEXTURE0),Bt.bindTexture(Bt.TEXTURE_2D,Yr.texture);let dt={u_matrix:Oe.transform.calculatePosMatrix(Je.tileID.toUnwrapped()),u_terrain_coords_id:(255-pt.coordsIndex.length)/255,u_texture:0,u_ele_delta:pt.getMeshFrameDelta(Oe.transform.zoom)};He.draw(At,Bt.TRIANGLES,br,Ss.disabled,$t,Qn.backCCW,dt,ut,\"terrain\",Ar.vertexBuffer,Ar.indexBuffer,Ar.segments),pt.coordsIndex.push(Je.tileID.key)}At.bindFramebuffer.set(null),At.viewport.set([0,0,Oe.width,Oe.height])}(this,this.style.map.terrain))}renderLayer(R,ae,we,Se){if(!we.isHidden(this.transform.zoom)&&(we.type===\"background\"||we.type===\"custom\"||(Se||[]).length))switch(this.id=we.id,we.type){case\"symbol\":(function(Oe,pt,At,Bt,$t){if(Oe.renderPass!==\"translucent\")return;let br=Ss.disabled,Ar=Oe.colorModeForRenderPass();(At._unevaluatedLayout.hasValue(\"text-variable-anchor\")||At._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(Yr,sa,He,Je,ut,dt,Ct,wt,Dt){let ur=sa.transform,mr=mi(),Er=ut===\"map\",Br=dt===\"map\";for(let Qr of Yr){let ga=Je.getTile(Qr),Sa=ga.getBucket(He);if(!Sa||!Sa.text||!Sa.text.segments.get().length)continue;let Oa=t.ag(Sa.textSizeData,ur.zoom),di=Ua(ga,1,sa.transform.zoom),Wi=wr(Qr.posMatrix,Br,Er,sa.transform,di),Gi=He.layout.get(\"icon-text-fit\")!==\"none\"&&Sa.hasIconData();if(Oa){let on=Math.pow(2,ur.zoom-ga.tileID.overscaledZ),Tn=sa.style.map.terrain?(Bn,Ao)=>sa.style.map.terrain.getElevation(Qr,Bn,Ao):null,Wn=mr.translatePosition(ur,ga,Ct,wt);rf(Sa,Er,Br,Dt,ur,Wi,Qr.posMatrix,on,Oa,Gi,mr,Wn,Qr.toUnwrapped(),Tn)}}}(Bt,Oe,At,pt,At.layout.get(\"text-rotation-alignment\"),At.layout.get(\"text-pitch-alignment\"),At.paint.get(\"text-translate\"),At.paint.get(\"text-translate-anchor\"),$t),At.paint.get(\"icon-opacity\").constantOr(1)!==0&&Yf(Oe,pt,At,Bt,!1,At.paint.get(\"icon-translate\"),At.paint.get(\"icon-translate-anchor\"),At.layout.get(\"icon-rotation-alignment\"),At.layout.get(\"icon-pitch-alignment\"),At.layout.get(\"icon-keep-upright\"),br,Ar),At.paint.get(\"text-opacity\").constantOr(1)!==0&&Yf(Oe,pt,At,Bt,!0,At.paint.get(\"text-translate\"),At.paint.get(\"text-translate-anchor\"),At.layout.get(\"text-rotation-alignment\"),At.layout.get(\"text-pitch-alignment\"),At.layout.get(\"text-keep-upright\"),br,Ar),pt.map.showCollisionBoxes&&(Vu(Oe,pt,At,Bt,!0),Vu(Oe,pt,At,Bt,!1))})(R,ae,we,Se,this.style.placement.variableOffsets);break;case\"circle\":(function(Oe,pt,At,Bt){if(Oe.renderPass!==\"translucent\")return;let $t=At.paint.get(\"circle-opacity\"),br=At.paint.get(\"circle-stroke-width\"),Ar=At.paint.get(\"circle-stroke-opacity\"),Yr=!At.layout.get(\"circle-sort-key\").isConstant();if($t.constantOr(1)===0&&(br.constantOr(1)===0||Ar.constantOr(1)===0))return;let sa=Oe.context,He=sa.gl,Je=Oe.depthModeForSublayer(0,ls.ReadOnly),ut=Ss.disabled,dt=Oe.colorModeForRenderPass(),Ct=[];for(let wt=0;wt<Bt.length;wt++){let Dt=Bt[wt],ur=pt.getTile(Dt),mr=ur.getBucket(At);if(!mr)continue;let Er=mr.programConfigurations.get(At.id),Br=Oe.useProgram(\"circle\",Er),Qr=mr.layoutVertexBuffer,ga=mr.indexBuffer,Sa=Oe.style.map.terrain&&Oe.style.map.terrain.getTerrainData(Dt),Oa={programConfiguration:Er,program:Br,layoutVertexBuffer:Qr,indexBuffer:ga,uniformValues:An(Oe,Dt,ur,At),terrainData:Sa};if(Yr){let di=mr.segments.get();for(let Wi of di)Ct.push({segments:new t.a0([Wi]),sortKey:Wi.sortKey,state:Oa})}else Ct.push({segments:mr.segments,sortKey:0,state:Oa})}Yr&&Ct.sort((wt,Dt)=>wt.sortKey-Dt.sortKey);for(let wt of Ct){let{programConfiguration:Dt,program:ur,layoutVertexBuffer:mr,indexBuffer:Er,uniformValues:Br,terrainData:Qr}=wt.state;ur.draw(sa,He.TRIANGLES,Je,ut,dt,Qn.disabled,Br,Qr,At.id,mr,Er,wt.segments,At.paint,Oe.transform.zoom,Dt)}})(R,ae,we,Se);break;case\"heatmap\":(function(Oe,pt,At,Bt){if(At.paint.get(\"heatmap-opacity\")===0)return;let $t=Oe.context;if(Oe.style.map.terrain){for(let br of Bt){let Ar=pt.getTile(br);pt.hasRenderableParent(br)||(Oe.renderPass===\"offscreen\"?af(Oe,Ar,At,br):Oe.renderPass===\"translucent\"&&Nc(Oe,At,br))}$t.viewport.set([0,0,Oe.width,Oe.height])}else Oe.renderPass===\"offscreen\"?function(br,Ar,Yr,sa){let He=br.context,Je=He.gl,ut=Ss.disabled,dt=new cl([Je.ONE,Je.ONE],t.aM.transparent,[!0,!0,!0,!0]);(function(Ct,wt,Dt){let ur=Ct.gl;Ct.activeTexture.set(ur.TEXTURE1),Ct.viewport.set([0,0,wt.width/4,wt.height/4]);let mr=Dt.heatmapFbos.get(t.aU);mr?(ur.bindTexture(ur.TEXTURE_2D,mr.colorAttachment.get()),Ct.bindFramebuffer.set(mr.framebuffer)):(mr=Ff(Ct,wt.width/4,wt.height/4),Dt.heatmapFbos.set(t.aU,mr))})(He,br,Yr),He.clear({color:t.aM.transparent});for(let Ct=0;Ct<sa.length;Ct++){let wt=sa[Ct];if(Ar.hasRenderableParent(wt))continue;let Dt=Ar.getTile(wt),ur=Dt.getBucket(Yr);if(!ur)continue;let mr=ur.programConfigurations.get(Yr.id),Er=br.useProgram(\"heatmap\",mr),{zoom:Br}=br.transform;Er.draw(He,Je.TRIANGLES,ls.disabled,ut,dt,Qn.disabled,to(wt.posMatrix,Dt,Br,Yr.paint.get(\"heatmap-intensity\")),null,Yr.id,ur.layoutVertexBuffer,ur.indexBuffer,ur.segments,Yr.paint,br.transform.zoom,mr)}He.viewport.set([0,0,br.width,br.height])}(Oe,pt,At,Bt):Oe.renderPass===\"translucent\"&&function(br,Ar){let Yr=br.context,sa=Yr.gl;Yr.setColorMode(br.colorModeForRenderPass());let He=Ar.heatmapFbos.get(t.aU);He&&(Yr.activeTexture.set(sa.TEXTURE0),sa.bindTexture(sa.TEXTURE_2D,He.colorAttachment.get()),Yr.activeTexture.set(sa.TEXTURE1),Of(Yr,Ar).bind(sa.LINEAR,sa.CLAMP_TO_EDGE),br.useProgram(\"heatmapTexture\").draw(Yr,sa.TRIANGLES,ls.disabled,Ss.disabled,br.colorModeForRenderPass(),Qn.disabled,mo(br,Ar,0,1),null,Ar.id,br.viewportBuffer,br.quadTriangleIndexBuffer,br.viewportSegments,Ar.paint,br.transform.zoom))}(Oe,At)})(R,ae,we,Se);break;case\"line\":(function(Oe,pt,At,Bt){if(Oe.renderPass!==\"translucent\")return;let $t=At.paint.get(\"line-opacity\"),br=At.paint.get(\"line-width\");if($t.constantOr(1)===0||br.constantOr(1)===0)return;let Ar=Oe.depthModeForSublayer(0,ls.ReadOnly),Yr=Oe.colorModeForRenderPass(),sa=At.paint.get(\"line-dasharray\"),He=At.paint.get(\"line-pattern\"),Je=He.constantOr(1),ut=At.paint.get(\"line-gradient\"),dt=At.getCrossfadeParameters(),Ct=Je?\"linePattern\":sa?\"lineSDF\":ut?\"lineGradient\":\"line\",wt=Oe.context,Dt=wt.gl,ur=!0;for(let mr of Bt){let Er=pt.getTile(mr);if(Je&&!Er.patternsLoaded())continue;let Br=Er.getBucket(At);if(!Br)continue;let Qr=Br.programConfigurations.get(At.id),ga=Oe.context.program.get(),Sa=Oe.useProgram(Ct,Qr),Oa=ur||Sa.program!==ga,di=Oe.style.map.terrain&&Oe.style.map.terrain.getTerrainData(mr),Wi=He.constantOr(null);if(Wi&&Er.imageAtlas){let Tn=Er.imageAtlas,Wn=Tn.patternPositions[Wi.to.toString()],Bn=Tn.patternPositions[Wi.from.toString()];Wn&&Bn&&Qr.setConstantPatternPositions(Wn,Bn)}let Gi=di?mr:null,on=Je?Ts(Oe,Er,At,dt,Gi):sa?Po(Oe,Er,At,sa,dt,Gi):ut?Xo(Oe,Er,At,Br.lineClipsArray.length,Gi):Jo(Oe,Er,At,Gi);if(Je)wt.activeTexture.set(Dt.TEXTURE0),Er.imageAtlasTexture.bind(Dt.LINEAR,Dt.CLAMP_TO_EDGE),Qr.updatePaintBuffers(dt);else if(sa&&(Oa||Oe.lineAtlas.dirty))wt.activeTexture.set(Dt.TEXTURE0),Oe.lineAtlas.bind(wt);else if(ut){let Tn=Br.gradients[At.id],Wn=Tn.texture;if(At.gradientVersion!==Tn.version){let Bn=256;if(At.stepInterpolant){let Ao=pt.getSource().maxzoom,ss=mr.canonical.z===Ao?Math.ceil(1<<Oe.transform.maxZoom-mr.canonical.z):1;Bn=t.ac(t.aV(Br.maxLineLength/t.X*1024*ss),256,wt.maxTextureSize)}Tn.gradient=t.aW({expression:At.gradientExpression(),evaluationKey:\"lineProgress\",resolution:Bn,image:Tn.gradient||void 0,clips:Br.lineClipsArray}),Tn.texture?Tn.texture.update(Tn.gradient):Tn.texture=new u(wt,Tn.gradient,Dt.RGBA),Tn.version=At.gradientVersion,Wn=Tn.texture}wt.activeTexture.set(Dt.TEXTURE0),Wn.bind(At.stepInterpolant?Dt.NEAREST:Dt.LINEAR,Dt.CLAMP_TO_EDGE)}Sa.draw(wt,Dt.TRIANGLES,Ar,Oe.stencilModeForClipping(mr),Yr,Qn.disabled,on,di,At.id,Br.layoutVertexBuffer,Br.indexBuffer,Br.segments,At.paint,Oe.transform.zoom,Qr,Br.layoutVertexBuffer2),ur=!1}})(R,ae,we,Se);break;case\"fill\":(function(Oe,pt,At,Bt){let $t=At.paint.get(\"fill-color\"),br=At.paint.get(\"fill-opacity\");if(br.constantOr(1)===0)return;let Ar=Oe.colorModeForRenderPass(),Yr=At.paint.get(\"fill-pattern\"),sa=Oe.opaquePassEnabledForLayer()&&!Yr.constantOr(1)&&$t.constantOr(t.aM.transparent).a===1&&br.constantOr(0)===1?\"opaque\":\"translucent\";if(Oe.renderPass===sa){let He=Oe.depthModeForSublayer(1,Oe.renderPass===\"opaque\"?ls.ReadWrite:ls.ReadOnly);Ef(Oe,pt,At,Bt,He,Ar,!1)}if(Oe.renderPass===\"translucent\"&&At.paint.get(\"fill-antialias\")){let He=Oe.depthModeForSublayer(At.getPaintProperty(\"fill-outline-color\")?2:0,ls.ReadOnly);Ef(Oe,pt,At,Bt,He,Ar,!0)}})(R,ae,we,Se);break;case\"fill-extrusion\":(function(Oe,pt,At,Bt){let $t=At.paint.get(\"fill-extrusion-opacity\");if($t!==0&&Oe.renderPass===\"translucent\"){let br=new ls(Oe.context.gl.LEQUAL,ls.ReadWrite,Oe.depthRangeFor3D);if($t!==1||At.paint.get(\"fill-extrusion-pattern\").constantOr(1))oc(Oe,pt,At,Bt,br,Ss.disabled,cl.disabled),oc(Oe,pt,At,Bt,br,Oe.stencilModeFor3D(),Oe.colorModeForRenderPass());else{let Ar=Oe.colorModeForRenderPass();oc(Oe,pt,At,Bt,br,Ss.disabled,Ar)}}})(R,ae,we,Se);break;case\"hillshade\":(function(Oe,pt,At,Bt){if(Oe.renderPass!==\"offscreen\"&&Oe.renderPass!==\"translucent\")return;let $t=Oe.context,br=Oe.depthModeForSublayer(0,ls.ReadOnly),Ar=Oe.colorModeForRenderPass(),[Yr,sa]=Oe.renderPass===\"translucent\"?Oe.stencilConfigForOverlap(Bt):[{},Bt];for(let He of sa){let Je=pt.getTile(He);Je.needsHillshadePrepare!==void 0&&Je.needsHillshadePrepare&&Oe.renderPass===\"offscreen\"?Jl(Oe,Je,At,br,Ss.disabled,Ar):Oe.renderPass===\"translucent\"&&Hc(Oe,He,Je,At,br,Yr[He.overscaledZ],Ar)}$t.viewport.set([0,0,Oe.width,Oe.height])})(R,ae,we,Se);break;case\"raster\":(function(Oe,pt,At,Bt){if(Oe.renderPass!==\"translucent\"||At.paint.get(\"raster-opacity\")===0||!Bt.length)return;let $t=Oe.context,br=$t.gl,Ar=pt.getSource(),Yr=Oe.useProgram(\"raster\"),sa=Oe.colorModeForRenderPass(),[He,Je]=Ar instanceof it?[{},Bt]:Oe.stencilConfigForOverlap(Bt),ut=Je[Je.length-1].overscaledZ,dt=!Oe.options.moving;for(let Ct of Je){let wt=Oe.depthModeForSublayer(Ct.overscaledZ-ut,At.paint.get(\"raster-opacity\")===1?ls.ReadWrite:ls.ReadOnly,br.LESS),Dt=pt.getTile(Ct);Dt.registerFadeDuration(At.paint.get(\"raster-fade-duration\"));let ur=pt.findLoadedParent(Ct,0),mr=pt.findLoadedSibling(Ct),Er=Uc(Dt,ur||mr||null,pt,At,Oe.transform,Oe.style.map.terrain),Br,Qr,ga=At.paint.get(\"raster-resampling\")===\"nearest\"?br.NEAREST:br.LINEAR;$t.activeTexture.set(br.TEXTURE0),Dt.texture.bind(ga,br.CLAMP_TO_EDGE,br.LINEAR_MIPMAP_NEAREST),$t.activeTexture.set(br.TEXTURE1),ur?(ur.texture.bind(ga,br.CLAMP_TO_EDGE,br.LINEAR_MIPMAP_NEAREST),Br=Math.pow(2,ur.tileID.overscaledZ-Dt.tileID.overscaledZ),Qr=[Dt.tileID.canonical.x*Br%1,Dt.tileID.canonical.y*Br%1]):Dt.texture.bind(ga,br.CLAMP_TO_EDGE,br.LINEAR_MIPMAP_NEAREST),Dt.texture.useMipmap&&$t.extTextureFilterAnisotropic&&Oe.transform.pitch>20&&br.texParameterf(br.TEXTURE_2D,$t.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,$t.extTextureFilterAnisotropicMax);let Sa=Oe.style.map.terrain&&Oe.style.map.terrain.getTerrainData(Ct),Oa=Sa?Ct:null,di=Oa?Oa.posMatrix:Oe.transform.calculatePosMatrix(Ct.toUnwrapped(),dt),Wi=To(di,Qr||[0,0],Br||1,Er,At);Ar instanceof it?Yr.draw($t,br.TRIANGLES,wt,Ss.disabled,sa,Qn.disabled,Wi,Sa,At.id,Ar.boundsBuffer,Oe.quadTriangleIndexBuffer,Ar.boundsSegments):Yr.draw($t,br.TRIANGLES,wt,He[Ct.overscaledZ],sa,Qn.disabled,Wi,Sa,At.id,Oe.rasterBoundsBuffer,Oe.quadTriangleIndexBuffer,Oe.rasterBoundsSegments)}})(R,ae,we,Se);break;case\"background\":(function(Oe,pt,At,Bt){let $t=At.paint.get(\"background-color\"),br=At.paint.get(\"background-opacity\");if(br===0)return;let Ar=Oe.context,Yr=Ar.gl,sa=Oe.transform,He=sa.tileSize,Je=At.paint.get(\"background-pattern\");if(Oe.isPatternMissing(Je))return;let ut=!Je&&$t.a===1&&br===1&&Oe.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(Oe.renderPass!==ut)return;let dt=Ss.disabled,Ct=Oe.depthModeForSublayer(0,ut===\"opaque\"?ls.ReadWrite:ls.ReadOnly),wt=Oe.colorModeForRenderPass(),Dt=Oe.useProgram(Je?\"backgroundPattern\":\"background\"),ur=Bt||sa.coveringTiles({tileSize:He,terrain:Oe.style.map.terrain});Je&&(Ar.activeTexture.set(Yr.TEXTURE0),Oe.imageManager.bind(Oe.context));let mr=At.getCrossfadeParameters();for(let Er of ur){let Br=Bt?Er.posMatrix:Oe.transform.calculatePosMatrix(Er.toUnwrapped()),Qr=Je?Ys(Br,br,Oe,Je,{tileID:Er,tileSize:He},mr):os(Br,br,$t),ga=Oe.style.map.terrain&&Oe.style.map.terrain.getTerrainData(Er);Dt.draw(Ar,Yr.TRIANGLES,Ct,dt,wt,Qn.disabled,Qr,ga,At.id,Oe.tileExtentBuffer,Oe.quadTriangleIndexBuffer,Oe.tileExtentSegments)}})(R,0,we,Se);break;case\"custom\":(function(Oe,pt,At){let Bt=Oe.context,$t=At.implementation;if(Oe.renderPass===\"offscreen\"){let br=$t.prerender;br&&(Oe.setCustomLayerDefaults(),Bt.setColorMode(Oe.colorModeForRenderPass()),br.call($t,Bt.gl,Oe.transform.customLayerMatrix()),Bt.setDirty(),Oe.setBaseState())}else if(Oe.renderPass===\"translucent\"){Oe.setCustomLayerDefaults(),Bt.setColorMode(Oe.colorModeForRenderPass()),Bt.setStencilMode(Ss.disabled);let br=$t.renderingMode===\"3d\"?new ls(Oe.context.gl.LEQUAL,ls.ReadWrite,Oe.depthRangeFor3D):Oe.depthModeForSublayer(0,ls.ReadOnly);Bt.setDepthMode(br),$t.render(Bt.gl,Oe.transform.customLayerMatrix(),{farZ:Oe.transform.farZ,nearZ:Oe.transform.nearZ,fov:Oe.transform._fov,modelViewProjectionMatrix:Oe.transform.modelViewProjectionMatrix,projectionMatrix:Oe.transform.projectionMatrix}),Bt.setDirty(),Oe.setBaseState(),Bt.bindFramebuffer.set(null)}})(R,0,we)}}translatePosMatrix(R,ae,we,Se,Oe){if(!we[0]&&!we[1])return R;let pt=Oe?Se===\"map\"?this.transform.angle:0:Se===\"viewport\"?-this.transform.angle:0;if(pt){let $t=Math.sin(pt),br=Math.cos(pt);we=[we[0]*br-we[1]*$t,we[0]*$t+we[1]*br]}let At=[Oe?we[0]:Ua(ae,we[0],this.transform.zoom),Oe?we[1]:Ua(ae,we[1],this.transform.zoom),0],Bt=new Float32Array(16);return t.J(Bt,R,At),Bt}saveTileTexture(R){let ae=this._tileTextures[R.size[0]];ae?ae.push(R):this._tileTextures[R.size[0]]=[R]}getTileTexture(R){let ae=this._tileTextures[R];return ae&&ae.length>0?ae.pop():null}isPatternMissing(R){if(!R)return!1;if(!R.from||!R.to)return!0;let ae=this.imageManager.getPattern(R.from.toString()),we=this.imageManager.getPattern(R.to.toString());return!ae||!we}useProgram(R,ae){this.cache=this.cache||{};let we=R+(ae?ae.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[we]||(this.cache[we]=new Ca(this.context,fa[R],ae,Os[R],this._showOverdrawInspector,this.style.map.terrain)),this.cache[we]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){let R=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(R.FUNC_ADD)}initDebugOverlayCanvas(){this.debugOverlayCanvas==null&&(this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new u(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){let{drawingBufferWidth:R,drawingBufferHeight:ae}=this.context.gl;return this.width!==R||this.height!==ae}}class nl{constructor(R,ae){this.points=R,this.planes=ae}static fromInvProjectionMatrix(R,ae,we){let Se=Math.pow(2,we),Oe=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map(At=>{let Bt=1/(At=t.af([],At,R))[3]/ae*Se;return t.b1(At,At,[Bt,Bt,1/At[3],Bt])}),pt=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map(At=>{let Bt=function(Yr,sa){var He=sa[0],Je=sa[1],ut=sa[2],dt=He*He+Je*Je+ut*ut;return dt>0&&(dt=1/Math.sqrt(dt)),Yr[0]=sa[0]*dt,Yr[1]=sa[1]*dt,Yr[2]=sa[2]*dt,Yr}([],function(Yr,sa,He){var Je=sa[0],ut=sa[1],dt=sa[2],Ct=He[0],wt=He[1],Dt=He[2];return Yr[0]=ut*Dt-dt*wt,Yr[1]=dt*Ct-Je*Dt,Yr[2]=Je*wt-ut*Ct,Yr}([],E([],Oe[At[0]],Oe[At[1]]),E([],Oe[At[2]],Oe[At[1]]))),$t=-((br=Bt)[0]*(Ar=Oe[At[1]])[0]+br[1]*Ar[1]+br[2]*Ar[2]);var br,Ar;return Bt.concat($t)});return new nl(Oe,pt)}}class dc{constructor(R,ae){this.min=R,this.max=ae,this.center=function(we,Se,Oe){return we[0]=.5*Se[0],we[1]=.5*Se[1],we[2]=.5*Se[2],we}([],function(we,Se,Oe){return we[0]=Se[0]+Oe[0],we[1]=Se[1]+Oe[1],we[2]=Se[2]+Oe[2],we}([],this.min,this.max))}quadrant(R){let ae=[R%2==0,R<2],we=w(this.min),Se=w(this.max);for(let Oe=0;Oe<ae.length;Oe++)we[Oe]=ae[Oe]?this.min[Oe]:this.center[Oe],Se[Oe]=ae[Oe]?this.center[Oe]:this.max[Oe];return Se[2]=this.max[2],new dc(we,Se)}distanceX(R){return Math.max(Math.min(this.max[0],R[0]),this.min[0])-R[0]}distanceY(R){return Math.max(Math.min(this.max[1],R[1]),this.min[1])-R[1]}intersects(R){let ae=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]],we=!0;for(let Se=0;Se<R.planes.length;Se++){let Oe=R.planes[Se],pt=0;for(let At=0;At<ae.length;At++)t.b2(Oe,ae[At])>=0&&pt++;if(pt===0)return 0;pt!==ae.length&&(we=!1)}if(we)return 2;for(let Se=0;Se<3;Se++){let Oe=Number.MAX_VALUE,pt=-Number.MAX_VALUE;for(let At=0;At<R.points.length;At++){let Bt=R.points[At][Se]-this.min[Se];Oe=Math.min(Oe,Bt),pt=Math.max(pt,Bt)}if(pt<0||Oe>this.max[Se]-this.min[Se])return 0}return 1}}class vu{constructor(R=0,ae=0,we=0,Se=0){if(isNaN(R)||R<0||isNaN(ae)||ae<0||isNaN(we)||we<0||isNaN(Se)||Se<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=R,this.bottom=ae,this.left=we,this.right=Se}interpolate(R,ae,we){return ae.top!=null&&R.top!=null&&(this.top=t.y.number(R.top,ae.top,we)),ae.bottom!=null&&R.bottom!=null&&(this.bottom=t.y.number(R.bottom,ae.bottom,we)),ae.left!=null&&R.left!=null&&(this.left=t.y.number(R.left,ae.left,we)),ae.right!=null&&R.right!=null&&(this.right=t.y.number(R.right,ae.right,we)),this}getCenter(R,ae){let we=t.ac((this.left+R-this.right)/2,0,R),Se=t.ac((this.top+ae-this.bottom)/2,0,ae);return new t.P(we,Se)}equals(R){return this.top===R.top&&this.bottom===R.bottom&&this.left===R.left&&this.right===R.right}clone(){return new vu(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}let bu=85.051129;class Ml{constructor(R,ae,we,Se,Oe){this.tileSize=512,this._renderWorldCopies=Oe===void 0||!!Oe,this._minZoom=R||0,this._maxZoom=ae||22,this._minPitch=we??0,this._maxPitch=Se??60,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new vu,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){let R=new Ml(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return R.apply(this),R}apply(R){this.tileSize=R.tileSize,this.latRange=R.latRange,this.lngRange=R.lngRange,this.width=R.width,this.height=R.height,this._center=R._center,this._elevation=R._elevation,this.minElevationForCurrentTile=R.minElevationForCurrentTile,this.zoom=R.zoom,this.angle=R.angle,this._fov=R._fov,this._pitch=R._pitch,this._unmodified=R._unmodified,this._edgeInsets=R._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(R){this._minZoom!==R&&(this._minZoom=R,this.zoom=Math.max(this.zoom,R))}get maxZoom(){return this._maxZoom}set maxZoom(R){this._maxZoom!==R&&(this._maxZoom=R,this.zoom=Math.min(this.zoom,R))}get minPitch(){return this._minPitch}set minPitch(R){this._minPitch!==R&&(this._minPitch=R,this.pitch=Math.max(this.pitch,R))}get maxPitch(){return this._maxPitch}set maxPitch(R){this._maxPitch!==R&&(this._maxPitch=R,this.pitch=Math.min(this.pitch,R))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(R){R===void 0?R=!0:R===null&&(R=!1),this._renderWorldCopies=R}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new t.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(R){let ae=-t.b3(R,-180,180)*Math.PI/180;this.angle!==ae&&(this._unmodified=!1,this.angle=ae,this._calcMatrices(),this.rotationMatrix=function(){var we=new t.A(4);return t.A!=Float32Array&&(we[1]=0,we[2]=0),we[0]=1,we[3]=1,we}(),function(we,Se,Oe){var pt=Se[0],At=Se[1],Bt=Se[2],$t=Se[3],br=Math.sin(Oe),Ar=Math.cos(Oe);we[0]=pt*Ar+Bt*br,we[1]=At*Ar+$t*br,we[2]=pt*-br+Bt*Ar,we[3]=At*-br+$t*Ar}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(R){let ae=t.ac(R,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==ae&&(this._unmodified=!1,this._pitch=ae,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(R){R=Math.max(.01,Math.min(60,R)),this._fov!==R&&(this._unmodified=!1,this._fov=R/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(R){let ae=Math.min(Math.max(R,this.minZoom),this.maxZoom);this._zoom!==ae&&(this._unmodified=!1,this._zoom=ae,this.tileZoom=Math.max(0,Math.floor(ae)),this.scale=this.zoomScale(ae),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(R){R.lat===this._center.lat&&R.lng===this._center.lng||(this._unmodified=!1,this._center=R,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(R){R!==this._elevation&&(this._elevation=R,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(R){this._edgeInsets.equals(R)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,R,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(R){return this._edgeInsets.equals(R)}interpolatePadding(R,ae,we){this._unmodified=!1,this._edgeInsets.interpolate(R,ae,we),this._constrain(),this._calcMatrices()}coveringZoomLevel(R){let ae=(R.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/R.tileSize));return Math.max(0,ae)}getVisibleUnwrappedCoordinates(R){let ae=[new t.b4(0,R)];if(this._renderWorldCopies){let we=this.pointCoordinate(new t.P(0,0)),Se=this.pointCoordinate(new t.P(this.width,0)),Oe=this.pointCoordinate(new t.P(this.width,this.height)),pt=this.pointCoordinate(new t.P(0,this.height)),At=Math.floor(Math.min(we.x,Se.x,Oe.x,pt.x)),Bt=Math.floor(Math.max(we.x,Se.x,Oe.x,pt.x)),$t=1;for(let br=At-$t;br<=Bt+$t;br++)br!==0&&ae.push(new t.b4(br,R))}return ae}coveringTiles(R){var ae,we;let Se=this.coveringZoomLevel(R),Oe=Se;if(R.minzoom!==void 0&&Se<R.minzoom)return[];R.maxzoom!==void 0&&Se>R.maxzoom&&(Se=R.maxzoom);let pt=this.pointCoordinate(this.getCameraPoint()),At=t.Z.fromLngLat(this.center),Bt=Math.pow(2,Se),$t=[Bt*pt.x,Bt*pt.y,0],br=[Bt*At.x,Bt*At.y,0],Ar=nl.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,Se),Yr=R.minzoom||0;!R.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(Yr=Se);let sa=R.terrain?2/Math.min(this.tileSize,R.tileSize)*this.tileSize:3,He=wt=>({aabb:new dc([wt*Bt,0,0],[(wt+1)*Bt,Bt,0]),zoom:0,x:0,y:0,wrap:wt,fullyVisible:!1}),Je=[],ut=[],dt=Se,Ct=R.reparseOverscaled?Oe:Se;if(this._renderWorldCopies)for(let wt=1;wt<=3;wt++)Je.push(He(-wt)),Je.push(He(wt));for(Je.push(He(0));Je.length>0;){let wt=Je.pop(),Dt=wt.x,ur=wt.y,mr=wt.fullyVisible;if(!mr){let Sa=wt.aabb.intersects(Ar);if(Sa===0)continue;mr=Sa===2}let Er=R.terrain?$t:br,Br=wt.aabb.distanceX(Er),Qr=wt.aabb.distanceY(Er),ga=Math.max(Math.abs(Br),Math.abs(Qr));if(wt.zoom===dt||ga>sa+(1<<dt-wt.zoom)-2&&wt.zoom>=Yr){let Sa=dt-wt.zoom,Oa=$t[0]-.5-(Dt<<Sa),di=$t[1]-.5-(ur<<Sa);ut.push({tileID:new t.S(wt.zoom===dt?Ct:wt.zoom,wt.wrap,wt.zoom,Dt,ur),distanceSq:y([br[0]-.5-Dt,br[1]-.5-ur]),tileDistanceToCamera:Math.sqrt(Oa*Oa+di*di)})}else for(let Sa=0;Sa<4;Sa++){let Oa=(Dt<<1)+Sa%2,di=(ur<<1)+(Sa>>1),Wi=wt.zoom+1,Gi=wt.aabb.quadrant(Sa);if(R.terrain){let on=new t.S(Wi,wt.wrap,Wi,Oa,di),Tn=R.terrain.getMinMaxElevation(on),Wn=(ae=Tn.minElevation)!==null&&ae!==void 0?ae:this.elevation,Bn=(we=Tn.maxElevation)!==null&&we!==void 0?we:this.elevation;Gi=new dc([Gi.min[0],Gi.min[1],Wn],[Gi.max[0],Gi.max[1],Bn])}Je.push({aabb:Gi,zoom:Wi,x:Oa,y:di,wrap:wt.wrap,fullyVisible:mr})}}return ut.sort((wt,Dt)=>wt.distanceSq-Dt.distanceSq).map(wt=>wt.tileID)}resize(R,ae){this.width=R,this.height=ae,this.pixelsToGLUnits=[2/R,-2/ae],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(R){return Math.pow(2,R)}scaleZoom(R){return Math.log(R)/Math.LN2}project(R){let ae=t.ac(R.lat,-85.051129,bu);return new t.P(t.O(R.lng)*this.worldSize,t.Q(ae)*this.worldSize)}unproject(R){return new t.Z(R.x/this.worldSize,R.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(R){let ae=this.elevation,we=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,Se=this.pointLocation(this.centerPoint,R),Oe=R.getElevationForLngLatZoom(Se,this.tileZoom);if(!(this.elevation-Oe))return;let pt=we+ae-Oe,At=Math.cos(this._pitch)*this.cameraToCenterDistance/pt/t.b5(1,Se.lat),Bt=this.scaleZoom(At/this.tileSize);this._elevation=Oe,this._center=Se,this.zoom=Bt}setLocationAtPoint(R,ae){let we=this.pointCoordinate(ae),Se=this.pointCoordinate(this.centerPoint),Oe=this.locationCoordinate(R),pt=new t.Z(Oe.x-(we.x-Se.x),Oe.y-(we.y-Se.y));this.center=this.coordinateLocation(pt),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(R,ae){return ae?this.coordinatePoint(this.locationCoordinate(R),ae.getElevationForLngLatZoom(R,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(R))}pointLocation(R,ae){return this.coordinateLocation(this.pointCoordinate(R,ae))}locationCoordinate(R){return t.Z.fromLngLat(R)}coordinateLocation(R){return R&&R.toLngLat()}pointCoordinate(R,ae){if(ae){let Yr=ae.pointCoordinate(R);if(Yr!=null)return Yr}let we=[R.x,R.y,0,1],Se=[R.x,R.y,1,1];t.af(we,we,this.pixelMatrixInverse),t.af(Se,Se,this.pixelMatrixInverse);let Oe=we[3],pt=Se[3],At=we[1]/Oe,Bt=Se[1]/pt,$t=we[2]/Oe,br=Se[2]/pt,Ar=$t===br?0:(0-$t)/(br-$t);return new t.Z(t.y.number(we[0]/Oe,Se[0]/pt,Ar)/this.worldSize,t.y.number(At,Bt,Ar)/this.worldSize)}coordinatePoint(R,ae=0,we=this.pixelMatrix){let Se=[R.x*this.worldSize,R.y*this.worldSize,ae,1];return t.af(Se,Se,we),new t.P(Se[0]/Se[3],Se[1]/Se[3])}getBounds(){let R=Math.max(0,this.height/2-this.getHorizon());return new re().extend(this.pointLocation(new t.P(0,R))).extend(this.pointLocation(new t.P(this.width,R))).extend(this.pointLocation(new t.P(this.width,this.height))).extend(this.pointLocation(new t.P(0,this.height)))}getMaxBounds(){return this.latRange&&this.latRange.length===2&&this.lngRange&&this.lngRange.length===2?new re([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(R){R?(this.lngRange=[R.getWest(),R.getEast()],this.latRange=[R.getSouth(),R.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,bu])}calculateTileMatrix(R){let ae=R.canonical,we=this.worldSize/this.zoomScale(ae.z),Se=ae.x+Math.pow(2,ae.z)*R.wrap,Oe=t.an(new Float64Array(16));return t.J(Oe,Oe,[Se*we,ae.y*we,0]),t.K(Oe,Oe,[we/t.X,we/t.X,1]),Oe}calculatePosMatrix(R,ae=!1){let we=R.key,Se=ae?this._alignedPosMatrixCache:this._posMatrixCache;if(Se[we])return Se[we];let Oe=this.calculateTileMatrix(R);return t.L(Oe,ae?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,Oe),Se[we]=new Float32Array(Oe),Se[we]}calculateFogMatrix(R){let ae=R.key,we=this._fogMatrixCache;if(we[ae])return we[ae];let Se=this.calculateTileMatrix(R);return t.L(Se,this.fogMatrix,Se),we[ae]=new Float32Array(Se),we[ae]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(R,ae){ae=t.ac(+ae,this.minZoom,this.maxZoom);let we={center:new t.N(R.lng,R.lat),zoom:ae},Se=this.lngRange;if(!this._renderWorldCopies&&Se===null){let wt=179.9999999999;Se=[-wt,wt]}let Oe=this.tileSize*this.zoomScale(we.zoom),pt=0,At=Oe,Bt=0,$t=Oe,br=0,Ar=0,{x:Yr,y:sa}=this.size;if(this.latRange){let wt=this.latRange;pt=t.Q(wt[1])*Oe,At=t.Q(wt[0])*Oe,At-pt<sa&&(br=sa/(At-pt))}Se&&(Bt=t.b3(t.O(Se[0])*Oe,0,Oe),$t=t.b3(t.O(Se[1])*Oe,0,Oe),$t<Bt&&($t+=Oe),$t-Bt<Yr&&(Ar=Yr/($t-Bt)));let{x:He,y:Je}=this.project.call({worldSize:Oe},R),ut,dt,Ct=Math.max(Ar||0,br||0);if(Ct){let wt=new t.P(Ar?($t+Bt)/2:He,br?(At+pt)/2:Je);return we.center=this.unproject.call({worldSize:Oe},wt).wrap(),we.zoom+=this.scaleZoom(Ct),we}if(this.latRange){let wt=sa/2;Je-wt<pt&&(dt=pt+wt),Je+wt>At&&(dt=At-wt)}if(Se){let wt=(Bt+$t)/2,Dt=He;this._renderWorldCopies&&(Dt=t.b3(He,wt-Oe/2,wt+Oe/2));let ur=Yr/2;Dt-ur<Bt&&(ut=Bt+ur),Dt+ur>$t&&(ut=$t-ur)}if(ut!==void 0||dt!==void 0){let wt=new t.P(ut??He,dt??Je);we.center=this.unproject.call({worldSize:Oe},wt).wrap()}return we}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;let R=this._unmodified,{center:ae,zoom:we}=this.getConstrained(this.center,this.zoom);this.center=ae,this.zoom=we,this._unmodified=R,this._constraining=!1}_calcMatrices(){if(!this.height)return;let R=this.centerOffset,ae=this.point.x,we=this.point.y;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height,this._pixelPerMeter=t.b5(1,this.center.lat)*this.worldSize;let Se=t.an(new Float64Array(16));t.K(Se,Se,[this.width/2,-this.height/2,1]),t.J(Se,Se,[1,-1,0]),this.labelPlaneMatrix=Se,Se=t.an(new Float64Array(16)),t.K(Se,Se,[1,-1,1]),t.J(Se,Se,[-1,-1,0]),t.K(Se,Se,[2/this.width,2/this.height,1]),this.glCoordMatrix=Se;let Oe=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),pt=Math.min(this.elevation,this.minElevationForCurrentTile),At=Oe-pt*this._pixelPerMeter/Math.cos(this._pitch),Bt=pt<0?At:Oe,$t=Math.PI/2+this._pitch,br=this._fov*(.5+R.y/this.height),Ar=Math.sin(br)*Bt/Math.sin(t.ac(Math.PI-$t-br,.01,Math.PI-.01)),Yr=this.getHorizon(),sa=2*Math.atan(Yr/this.cameraToCenterDistance)*(.5+R.y/(2*Yr)),He=Math.sin(sa)*Bt/Math.sin(t.ac(Math.PI-$t-sa,.01,Math.PI-.01)),Je=Math.min(Ar,He);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*Je+Bt),this.nearZ=this.height/50,Se=new Float64Array(16),t.b6(Se,this._fov,this.width/this.height,this.nearZ,this.farZ),Se[8]=2*-R.x/this.width,Se[9]=2*R.y/this.height,this.projectionMatrix=t.ae(Se),t.K(Se,Se,[1,-1,1]),t.J(Se,Se,[0,0,-this.cameraToCenterDistance]),t.b7(Se,Se,this._pitch),t.ad(Se,Se,this.angle),t.J(Se,Se,[-ae,-we,0]),this.mercatorMatrix=t.K([],Se,[this.worldSize,this.worldSize,this.worldSize]),t.K(Se,Se,[1,1,this._pixelPerMeter]),this.pixelMatrix=t.L(new Float64Array(16),this.labelPlaneMatrix,Se),t.J(Se,Se,[0,0,-this.elevation]),this.modelViewProjectionMatrix=Se,this.invModelViewProjectionMatrix=t.as([],Se),this.fogMatrix=new Float64Array(16),t.b6(this.fogMatrix,this._fov,this.width/this.height,Oe,this.farZ),this.fogMatrix[8]=2*-R.x/this.width,this.fogMatrix[9]=2*R.y/this.height,t.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),t.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),t.b7(this.fogMatrix,this.fogMatrix,this._pitch),t.ad(this.fogMatrix,this.fogMatrix,this.angle),t.J(this.fogMatrix,this.fogMatrix,[-ae,-we,0]),t.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),t.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=t.L(new Float64Array(16),this.labelPlaneMatrix,Se);let ut=this.width%2/2,dt=this.height%2/2,Ct=Math.cos(this.angle),wt=Math.sin(this.angle),Dt=ae-Math.round(ae)+Ct*ut+wt*dt,ur=we-Math.round(we)+Ct*dt+wt*ut,mr=new Float64Array(Se);if(t.J(mr,mr,[Dt>.5?Dt-1:Dt,ur>.5?ur-1:ur,0]),this.alignedModelViewProjectionMatrix=mr,Se=t.as(new Float64Array(16),this.pixelMatrix),!Se)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=Se,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;let R=this.pointCoordinate(new t.P(0,0)),ae=[R.x*this.worldSize,R.y*this.worldSize,0,1];return t.af(ae,ae,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){let R=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.P(0,R))}getCameraQueryGeometry(R){let ae=this.getCameraPoint();if(R.length===1)return[R[0],ae];{let we=ae.x,Se=ae.y,Oe=ae.x,pt=ae.y;for(let At of R)we=Math.min(we,At.x),Se=Math.min(Se,At.y),Oe=Math.max(Oe,At.x),pt=Math.max(pt,At.y);return[new t.P(we,Se),new t.P(Oe,Se),new t.P(Oe,pt),new t.P(we,pt),new t.P(we,Se)]}}lngLatToCameraDepth(R,ae){let we=this.locationCoordinate(R),Se=[we.x*this.worldSize,we.y*this.worldSize,ae,1];return t.af(Se,Se,this.modelViewProjectionMatrix),Se[2]/Se[3]}}function Uf(Ne,R){let ae,we=!1,Se=null,Oe=null,pt=()=>{Se=null,we&&(Ne.apply(Oe,ae),Se=setTimeout(pt,R),we=!1)};return(...At)=>(we=!0,Oe=this,ae=At,Se||pt(),Se)}class Jf{constructor(R){this._getCurrentHash=()=>{let ae=window.location.hash.replace(\"#\",\"\");if(this._hashName){let we;return ae.split(\"&\").map(Se=>Se.split(\"=\")).forEach(Se=>{Se[0]===this._hashName&&(we=Se)}),(we&&we[1]||\"\").split(\"/\")}return ae.split(\"/\")},this._onHashChange=()=>{let ae=this._getCurrentHash();if(ae.length>=3&&!ae.some(we=>isNaN(we))){let we=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(ae[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+ae[2],+ae[1]],zoom:+ae[0],bearing:we,pitch:+(ae[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{let ae=window.location.href.replace(/(#.*)?$/,this.getHashString());window.history.replaceState(window.history.state,null,ae)},this._removeHash=()=>{let ae=this._getCurrentHash();if(ae.length===0)return;let we=ae.join(\"/\"),Se=we;Se.split(\"&\").length>0&&(Se=Se.split(\"&\")[0]),this._hashName&&(Se=`${this._hashName}=${we}`);let Oe=window.location.hash.replace(Se,\"\");Oe.startsWith(\"#&\")?Oe=Oe.slice(0,1)+Oe.slice(2):Oe===\"#\"&&(Oe=\"\");let pt=window.location.href.replace(/(#.+)?$/,Oe);pt=pt.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,pt)},this._updateHash=Uf(this._updateHashUnthrottled,300),this._hashName=R&&encodeURIComponent(R)}addTo(R){return this._map=R,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(R){let ae=this._map.getCenter(),we=Math.round(100*this._map.getZoom())/100,Se=Math.ceil((we*Math.LN2+Math.log(512/360/.5))/Math.LN10),Oe=Math.pow(10,Se),pt=Math.round(ae.lng*Oe)/Oe,At=Math.round(ae.lat*Oe)/Oe,Bt=this._map.getBearing(),$t=this._map.getPitch(),br=\"\";if(br+=R?`/${pt}/${At}/${we}`:`${we}/${At}/${pt}`,(Bt||$t)&&(br+=\"/\"+Math.round(10*Bt)/10),$t&&(br+=`/${Math.round($t)}`),this._hashName){let Ar=this._hashName,Yr=!1,sa=window.location.hash.slice(1).split(\"&\").map(He=>{let Je=He.split(\"=\")[0];return Je===Ar?(Yr=!0,`${Je}=${br}`):He}).filter(He=>He);return Yr||sa.push(`${Ar}=${br}`),`#${sa.join(\"&\")}`}return`#${br}`}}let Bu={linearity:.3,easing:t.b8(0,0,.3,1)},Sc=t.e({deceleration:2500,maxSpeed:1400},Bu),vc=t.e({deceleration:20,maxSpeed:1400},Bu),Lh=t.e({deceleration:1e3,maxSpeed:360},Bu),nf=t.e({deceleration:1e3,maxSpeed:90},Bu);class df{constructor(R){this._map=R,this.clear()}clear(){this._inertiaBuffer=[]}record(R){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:i.now(),settings:R})}_drainInertiaBuffer(){let R=this._inertiaBuffer,ae=i.now();for(;R.length>0&&ae-R[0].time>160;)R.shift()}_onMoveEnd(R){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;let ae={zoom:0,bearing:0,pitch:0,pan:new t.P(0,0),pinchAround:void 0,around:void 0};for(let{settings:Oe}of this._inertiaBuffer)ae.zoom+=Oe.zoomDelta||0,ae.bearing+=Oe.bearingDelta||0,ae.pitch+=Oe.pitchDelta||0,Oe.panDelta&&ae.pan._add(Oe.panDelta),Oe.around&&(ae.around=Oe.around),Oe.pinchAround&&(ae.pinchAround=Oe.pinchAround);let we=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,Se={};if(ae.pan.mag()){let Oe=of(ae.pan.mag(),we,t.e({},Sc,R||{}));Se.offset=ae.pan.mult(Oe.amount/ae.pan.mag()),Se.center=this._map.transform.center,Nu(Se,Oe)}if(ae.zoom){let Oe=of(ae.zoom,we,vc);Se.zoom=this._map.transform.zoom+Oe.amount,Nu(Se,Oe)}if(ae.bearing){let Oe=of(ae.bearing,we,Lh);Se.bearing=this._map.transform.bearing+t.ac(Oe.amount,-179,179),Nu(Se,Oe)}if(ae.pitch){let Oe=of(ae.pitch,we,nf);Se.pitch=this._map.transform.pitch+Oe.amount,Nu(Se,Oe)}if(Se.zoom||Se.bearing){let Oe=ae.pinchAround===void 0?ae.around:ae.pinchAround;Se.around=Oe?this._map.unproject(Oe):this._map.getCenter()}return this.clear(),t.e(Se,{noMoveStart:!0})}}function Nu(Ne,R){(!Ne.duration||Ne.duration<R.duration)&&(Ne.duration=R.duration,Ne.easing=R.easing)}function of(Ne,R,ae){let{maxSpeed:we,linearity:Se,deceleration:Oe}=ae,pt=t.ac(Ne*Se/(R/1e3),-we,we),At=Math.abs(pt)/(Oe*Se);return{easing:ae.easing,duration:1e3*At,amount:pt*(At/2)}}class tu extends t.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(R,ae,we,Se={}){let Oe=n.mousePos(ae.getCanvas(),we),pt=ae.unproject(Oe);super(R,t.e({point:Oe,lngLat:pt,originalEvent:we},Se)),this._defaultPrevented=!1,this.target=ae}}class Xc extends t.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(R,ae,we){let Se=R===\"touchend\"?we.changedTouches:we.touches,Oe=n.touchPos(ae.getCanvasContainer(),Se),pt=Oe.map(Bt=>ae.unproject(Bt)),At=Oe.reduce((Bt,$t,br,Ar)=>Bt.add($t.div(Ar.length)),new t.P(0,0));super(R,{points:Oe,point:At,lngLats:pt,lngLat:ae.unproject(At),originalEvent:we}),this._defaultPrevented=!1}}class uh extends t.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(R,ae,we){super(R,{originalEvent:we}),this._defaultPrevented=!1}}class vf{constructor(R,ae){this._map=R,this._clickTolerance=ae.clickTolerance}reset(){delete this._mousedownPos}wheel(R){return this._firePreventable(new uh(R.type,this._map,R))}mousedown(R,ae){return this._mousedownPos=ae,this._firePreventable(new tu(R.type,this._map,R))}mouseup(R){this._map.fire(new tu(R.type,this._map,R))}click(R,ae){this._mousedownPos&&this._mousedownPos.dist(ae)>=this._clickTolerance||this._map.fire(new tu(R.type,this._map,R))}dblclick(R){return this._firePreventable(new tu(R.type,this._map,R))}mouseover(R){this._map.fire(new tu(R.type,this._map,R))}mouseout(R){this._map.fire(new tu(R.type,this._map,R))}touchstart(R){return this._firePreventable(new Xc(R.type,this._map,R))}touchmove(R){this._map.fire(new Xc(R.type,this._map,R))}touchend(R){this._map.fire(new Xc(R.type,this._map,R))}touchcancel(R){this._map.fire(new Xc(R.type,this._map,R))}_firePreventable(R){if(this._map.fire(R),R.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class ol{constructor(R){this._map=R}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(R){this._map.fire(new tu(R.type,this._map,R))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new tu(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(R){this._delayContextMenu?this._contextMenuEvent=R:this._ignoreContextMenu||this._map.fire(new tu(R.type,this._map,R)),this._map.listens(\"contextmenu\")&&R.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class mu{constructor(R){this._map=R}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(R){return this.transform.pointLocation(t.P.convert(R),this._map.terrain)}}class Pu{constructor(R,ae){this._map=R,this._tr=new mu(R),this._el=R.getCanvasContainer(),this._container=R.getContainer(),this._clickTolerance=ae.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(R,ae){this.isEnabled()&&R.shiftKey&&R.button===0&&(n.disableDrag(),this._startPos=this._lastPos=ae,this._active=!0)}mousemoveWindow(R,ae){if(!this._active)return;let we=ae;if(this._lastPos.equals(we)||!this._box&&we.dist(this._startPos)<this._clickTolerance)return;let Se=this._startPos;this._lastPos=we,this._box||(this._box=n.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",R));let Oe=Math.min(Se.x,we.x),pt=Math.max(Se.x,we.x),At=Math.min(Se.y,we.y),Bt=Math.max(Se.y,we.y);n.setTransform(this._box,`translate(${Oe}px,${At}px)`),this._box.style.width=pt-Oe+\"px\",this._box.style.height=Bt-At+\"px\"}mouseupWindow(R,ae){if(!this._active||R.button!==0)return;let we=this._startPos,Se=ae;if(this.reset(),n.suppressClick(),we.x!==Se.x||we.y!==Se.y)return this._map.fire(new t.k(\"boxzoomend\",{originalEvent:R})),{cameraAnimation:Oe=>Oe.fitScreenCoordinates(we,Se,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",R)}keydown(R){this._active&&R.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",R))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(n.remove(this._box),this._box=null),n.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(R,ae){return this._map.fire(new t.k(R,{originalEvent:ae}))}}function kf(Ne,R){if(Ne.length!==R.length)throw new Error(`The number of touches and points are not equal - touches ${Ne.length}, points ${R.length}`);let ae={};for(let we=0;we<Ne.length;we++)ae[Ne[we].identifier]=R[we];return ae}class hl{constructor(R){this.reset(),this.numTouches=R.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(R,ae,we){(this.centroid||we.length>this.numTouches)&&(this.aborted=!0),this.aborted||(this.startTime===void 0&&(this.startTime=R.timeStamp),we.length===this.numTouches&&(this.centroid=function(Se){let Oe=new t.P(0,0);for(let pt of Se)Oe._add(pt);return Oe.div(Se.length)}(ae),this.touches=kf(we,ae)))}touchmove(R,ae,we){if(this.aborted||!this.centroid)return;let Se=kf(we,ae);for(let Oe in this.touches){let pt=Se[Oe];(!pt||pt.dist(this.touches[Oe])>30)&&(this.aborted=!0)}}touchend(R,ae,we){if((!this.centroid||R.timeStamp-this.startTime>500)&&(this.aborted=!0),we.length===0){let Se=!this.aborted&&this.centroid;if(this.reset(),Se)return Se}}}class sf{constructor(R){this.singleTap=new hl(R),this.numTaps=R.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(R,ae,we){this.singleTap.touchstart(R,ae,we)}touchmove(R,ae,we){this.singleTap.touchmove(R,ae,we)}touchend(R,ae,we){let Se=this.singleTap.touchend(R,ae,we);if(Se){let Oe=R.timeStamp-this.lastTime<500,pt=!this.lastTap||this.lastTap.dist(Se)<30;if(Oe&&pt||this.reset(),this.count++,this.lastTime=R.timeStamp,this.lastTap=Se,this.count===this.numTaps)return this.reset(),Se}}}class Mc{constructor(R){this._tr=new mu(R),this._zoomIn=new sf({numTouches:1,numTaps:2}),this._zoomOut=new sf({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(R,ae,we){this._zoomIn.touchstart(R,ae,we),this._zoomOut.touchstart(R,ae,we)}touchmove(R,ae,we){this._zoomIn.touchmove(R,ae,we),this._zoomOut.touchmove(R,ae,we)}touchend(R,ae,we){let Se=this._zoomIn.touchend(R,ae,we),Oe=this._zoomOut.touchend(R,ae,we),pt=this._tr;return Se?(this._active=!0,R.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:At=>At.easeTo({duration:300,zoom:pt.zoom+1,around:pt.unproject(Se)},{originalEvent:R})}):Oe?(this._active=!0,R.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:At=>At.easeTo({duration:300,zoom:pt.zoom-1,around:pt.unproject(Oe)},{originalEvent:R})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Hu{constructor(R){this._enabled=!!R.enable,this._moveStateManager=R.moveStateManager,this._clickTolerance=R.clickTolerance||1,this._moveFunction=R.move,this._activateOnStart=!!R.activateOnStart,R.assignEvents(this),this.reset()}reset(R){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(R)}_move(...R){let ae=this._moveFunction(...R);if(ae.bearingDelta||ae.pitchDelta||ae.around||ae.panDelta)return this._active=!0,ae}dragStart(R,ae){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(R)&&(this._moveStateManager.startMove(R),this._lastPoint=ae.length?ae[0]:ae,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(R,ae){if(!this.isEnabled())return;let we=this._lastPoint;if(!we)return;if(R.preventDefault(),!this._moveStateManager.isValidMoveEvent(R))return void this.reset(R);let Se=ae.length?ae[0]:ae;return!this._moved&&Se.dist(we)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=Se,this._move(we,Se))}dragEnd(R){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(R)&&(this._moved&&n.suppressClick(),this.reset(R))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}let mf={0:1,2:2};class Wu{constructor(R){this._correctEvent=R.checkCorrectEvent}startMove(R){let ae=n.mouseButton(R);this._eventButton=ae}endMove(R){delete this._eventButton}isValidStartEvent(R){return this._correctEvent(R)}isValidMoveEvent(R){return!function(ae,we){let Se=mf[we];return ae.buttons===void 0||(ae.buttons&Se)!==Se}(R,this._eventButton)}isValidEndEvent(R){return n.mouseButton(R)===this._eventButton}}class Zc{constructor(){this._firstTouch=void 0}_isOneFingerTouch(R){return R.targetTouches.length===1}_isSameTouchEvent(R){return R.targetTouches[0].identifier===this._firstTouch}startMove(R){this._firstTouch=R.targetTouches[0].identifier}endMove(R){delete this._firstTouch}isValidStartEvent(R){return this._isOneFingerTouch(R)}isValidMoveEvent(R){return this._isOneFingerTouch(R)&&this._isSameTouchEvent(R)}isValidEndEvent(R){return this._isOneFingerTouch(R)&&this._isSameTouchEvent(R)}}let Lf=Ne=>{Ne.mousedown=Ne.dragStart,Ne.mousemoveWindow=Ne.dragMove,Ne.mouseup=Ne.dragEnd,Ne.contextmenu=R=>{R.preventDefault()}},ru=({enable:Ne,clickTolerance:R,bearingDegreesPerPixelMoved:ae=.8})=>{let we=new Wu({checkCorrectEvent:Se=>n.mouseButton(Se)===0&&Se.ctrlKey||n.mouseButton(Se)===2});return new Hu({clickTolerance:R,move:(Se,Oe)=>({bearingDelta:(Oe.x-Se.x)*ae}),moveStateManager:we,enable:Ne,assignEvents:Lf})},jf=({enable:Ne,clickTolerance:R,pitchDegreesPerPixelMoved:ae=-.5})=>{let we=new Wu({checkCorrectEvent:Se=>n.mouseButton(Se)===0&&Se.ctrlKey||n.mouseButton(Se)===2});return new Hu({clickTolerance:R,move:(Se,Oe)=>({pitchDelta:(Oe.y-Se.y)*ae}),moveStateManager:we,enable:Ne,assignEvents:Lf})};class Xu{constructor(R,ae){this._clickTolerance=R.clickTolerance||1,this._map=ae,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new t.P(0,0)}_shouldBePrevented(R){return R<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(R,ae,we){return this._calculateTransform(R,ae,we)}touchmove(R,ae,we){if(this._active){if(!this._shouldBePrevented(we.length))return R.preventDefault(),this._calculateTransform(R,ae,we);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",R)}}touchend(R,ae,we){this._calculateTransform(R,ae,we),this._active&&this._shouldBePrevented(we.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(R,ae,we){we.length>0&&(this._active=!0);let Se=kf(we,ae),Oe=new t.P(0,0),pt=new t.P(0,0),At=0;for(let $t in Se){let br=Se[$t],Ar=this._touches[$t];Ar&&(Oe._add(br),pt._add(br.sub(Ar)),At++,Se[$t]=br)}if(this._touches=Se,this._shouldBePrevented(At)||!pt.mag())return;let Bt=pt.div(At);return this._sum._add(Bt),this._sum.mag()<this._clickTolerance?void 0:{around:Oe.div(At),panDelta:Bt}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Ec{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(R,ae,we){this._firstTwoTouches||we.length<2||(this._firstTwoTouches=[we[0].identifier,we[1].identifier],this._start([ae[0],ae[1]]))}touchmove(R,ae,we){if(!this._firstTwoTouches)return;R.preventDefault();let[Se,Oe]=this._firstTwoTouches,pt=mc(we,ae,Se),At=mc(we,ae,Oe);if(!pt||!At)return;let Bt=this._aroundCenter?null:pt.add(At).div(2);return this._move([pt,At],Bt,R)}touchend(R,ae,we){if(!this._firstTwoTouches)return;let[Se,Oe]=this._firstTwoTouches,pt=mc(we,ae,Se),At=mc(we,ae,Oe);pt&&At||(this._active&&n.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(R){this._enabled=!0,this._aroundCenter=!!R&&R.around===\"center\"}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function mc(Ne,R,ae){for(let we=0;we<Ne.length;we++)if(Ne[we].identifier===ae)return R[we]}function jl(Ne,R){return Math.log(Ne/R)/Math.LN2}class gu extends Ec{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(R){this._startDistance=this._distance=R[0].dist(R[1])}_move(R,ae){let we=this._distance;if(this._distance=R[0].dist(R[1]),this._active||!(Math.abs(jl(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:jl(this._distance,we),pinchAround:ae}}}function Cc(Ne,R){return 180*Ne.angleWith(R)/Math.PI}class Yc extends Ec{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(R){this._startVector=this._vector=R[0].sub(R[1]),this._minDiameter=R[0].dist(R[1])}_move(R,ae,we){let Se=this._vector;if(this._vector=R[0].sub(R[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Cc(this._vector,Se),pinchAround:ae}}_isBelowThreshold(R){this._minDiameter=Math.min(this._minDiameter,R.mag());let ae=25/(Math.PI*this._minDiameter)*360,we=Cc(R,this._startVector);return Math.abs(we)<ae}}function sc(Ne){return Math.abs(Ne.y)>Math.abs(Ne.x)}class kc extends Ec{constructor(R){super(),this._currentTouchCount=0,this._map=R}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(R,ae,we){super.touchstart(R,ae,we),this._currentTouchCount=we.length}_start(R){this._lastPoints=R,sc(R[0].sub(R[1]))&&(this._valid=!1)}_move(R,ae,we){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;let Se=R[0].sub(this._lastPoints[0]),Oe=R[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(Se,Oe,we.timeStamp),this._valid?(this._lastPoints=R,this._active=!0,{pitchDelta:(Se.y+Oe.y)/2*-.5}):void 0}gestureBeginsVertically(R,ae,we){if(this._valid!==void 0)return this._valid;let Se=R.mag()>=2,Oe=ae.mag()>=2;if(!Se&&!Oe)return;if(!Se||!Oe)return this._firstMove===void 0&&(this._firstMove=we),we-this._firstMove<100&&void 0;let pt=R.y>0==ae.y>0;return sc(R)&&sc(ae)&&pt}}let er={panStep:100,bearingStep:15,pitchStep:10};class yr{constructor(R){this._tr=new mu(R);let ae=er;this._panStep=ae.panStep,this._bearingStep=ae.bearingStep,this._pitchStep=ae.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(R){if(R.altKey||R.ctrlKey||R.metaKey)return;let ae=0,we=0,Se=0,Oe=0,pt=0;switch(R.keyCode){case 61:case 107:case 171:case 187:ae=1;break;case 189:case 109:case 173:ae=-1;break;case 37:R.shiftKey?we=-1:(R.preventDefault(),Oe=-1);break;case 39:R.shiftKey?we=1:(R.preventDefault(),Oe=1);break;case 38:R.shiftKey?Se=1:(R.preventDefault(),pt=-1);break;case 40:R.shiftKey?Se=-1:(R.preventDefault(),pt=1);break;default:return}return this._rotationDisabled&&(we=0,Se=0),{cameraAnimation:At=>{let Bt=this._tr;At.easeTo({duration:300,easeId:\"keyboardHandler\",easing:na,zoom:ae?Math.round(Bt.zoom)+ae*(R.shiftKey?2:1):Bt.zoom,bearing:Bt.bearing+we*this._bearingStep,pitch:Bt.pitch+Se*this._pitchStep,offset:[-Oe*this._panStep,-pt*this._panStep],center:Bt.center},{originalEvent:R})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function na(Ne){return Ne*(2-Ne)}let $r=4.000244140625;class La{constructor(R,ae){this._onTimeout=we=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(we)},this._map=R,this._tr=new mu(R),this._triggerRenderFrame=ae,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(R){this._defaultZoomRate=R}setWheelZoomRate(R){this._wheelZoomRate=R}isEnabled(){return!!this._enabled}isActive(){return!!this._active||this._finishTimeout!==void 0}isZooming(){return!!this._zooming}enable(R){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!R&&R.around===\"center\")}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(R){return!!this._map.cooperativeGestures.isEnabled()&&!(R.ctrlKey||this._map.cooperativeGestures.isBypassed(R))}wheel(R){if(!this.isEnabled())return;if(this._shouldBePrevented(R))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",R);let ae=R.deltaMode===WheelEvent.DOM_DELTA_LINE?40*R.deltaY:R.deltaY,we=i.now(),Se=we-(this._lastWheelEventTime||0);this._lastWheelEventTime=we,ae!==0&&ae%$r==0?this._type=\"wheel\":ae!==0&&Math.abs(ae)<4?this._type=\"trackpad\":Se>400?(this._type=null,this._lastValue=ae,this._timeout=setTimeout(this._onTimeout,40,R)):this._type||(this._type=Math.abs(Se*ae)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,ae+=this._lastValue)),R.shiftKey&&ae&&(ae/=4),this._type&&(this._lastWheelEvent=R,this._delta-=ae,this._active||this._start(R)),R.preventDefault()}_start(R){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);let ae=n.mousePos(this._map.getCanvas(),R),we=this._tr;this._around=ae.y>we.transform.height/2-we.transform.getHorizon()?t.N.convert(this._aroundCenter?we.center:we.unproject(ae)):t.N.convert(we.center),this._aroundPoint=we.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId||(this._frameId=null,!this.isActive()))return;let R=this._tr.transform;if(this._delta!==0){let Bt=this._type===\"wheel\"&&Math.abs(this._delta)>$r?this._wheelZoomRate:this._defaultZoomRate,$t=2/(1+Math.exp(-Math.abs(this._delta*Bt)));this._delta<0&&$t!==0&&($t=1/$t);let br=typeof this._targetZoom==\"number\"?R.zoomScale(this._targetZoom):R.scale;this._targetZoom=Math.min(R.maxZoom,Math.max(R.minZoom,R.scaleZoom(br*$t))),this._type===\"wheel\"&&(this._startZoom=R.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}let ae=typeof this._targetZoom==\"number\"?this._targetZoom:R.zoom,we=this._startZoom,Se=this._easing,Oe,pt=!1,At=i.now()-this._lastWheelEventTime;if(this._type===\"wheel\"&&we&&Se&&At){let Bt=Math.min(At/200,1),$t=Se(Bt);Oe=t.y.number(we,ae,$t),Bt<1?this._frameId||(this._frameId=!0):pt=!0}else Oe=ae,pt=!0;return this._active=!0,pt&&(this._active=!1,this._finishTimeout=setTimeout(()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!pt,zoomDelta:Oe-R.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(R){let ae=t.b9;if(this._prevEase){let we=this._prevEase,Se=(i.now()-we.start)/we.duration,Oe=we.easing(Se+.01)-we.easing(Se),pt=.27/Math.sqrt(Oe*Oe+1e-4)*.01,At=Math.sqrt(.0729-pt*pt);ae=t.b8(pt,At,.25,1)}return this._prevEase={start:i.now(),duration:R,easing:ae},ae}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class hi{constructor(R,ae){this._clickZoom=R,this._tapZoom=ae}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class Pi{constructor(R){this._tr=new mu(R),this.reset()}reset(){this._active=!1}dblclick(R,ae){return R.preventDefault(),{cameraAnimation:we=>{we.easeTo({duration:300,zoom:this._tr.zoom+(R.shiftKey?-1:1),around:this._tr.unproject(ae)},{originalEvent:R})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Zi{constructor(){this._tap=new sf({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(R,ae,we){if(!this._swipePoint)if(this._tapTime){let Se=ae[0],Oe=R.timeStamp-this._tapTime<500,pt=this._tapPoint.dist(Se)<30;Oe&&pt?we.length>0&&(this._swipePoint=Se,this._swipeTouch=we[0].identifier):this.reset()}else this._tap.touchstart(R,ae,we)}touchmove(R,ae,we){if(this._tapTime){if(this._swipePoint){if(we[0].identifier!==this._swipeTouch)return;let Se=ae[0],Oe=Se.y-this._swipePoint.y;return this._swipePoint=Se,R.preventDefault(),this._active=!0,{zoomDelta:Oe/128}}}else this._tap.touchmove(R,ae,we)}touchend(R,ae,we){if(this._tapTime)this._swipePoint&&we.length===0&&this.reset();else{let Se=this._tap.touchend(R,ae,we);Se&&(this._tapTime=R.timeStamp,this._tapPoint=Se)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class tn{constructor(R,ae,we){this._el=R,this._mousePan=ae,this._touchPan=we}enable(R){this._inertiaOptions=R||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class dn{constructor(R,ae,we){this._pitchWithRotate=R.pitchWithRotate,this._mouseRotate=ae,this._mousePitch=we}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class Ri{constructor(R,ae,we,Se){this._el=R,this._touchZoom=ae,this._touchRotate=we,this._tapDragZoom=Se,this._rotationDisabled=!1,this._enabled=!0}enable(R){this._touchZoom.enable(R),this._rotationDisabled||this._touchRotate.enable(R),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class Fi{constructor(R,ae){this._bypassKey=navigator.userAgent.indexOf(\"Mac\")!==-1?\"metaKey\":\"ctrlKey\",this._map=R,this._options=ae,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;let R=this._map.getCanvasContainer();R.classList.add(\"maplibregl-cooperative-gestures\"),this._container=n.create(\"div\",\"maplibregl-cooperative-gesture-screen\",R);let ae=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");this._bypassKey===\"metaKey\"&&(ae=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));let we=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),Se=document.createElement(\"div\");Se.className=\"maplibregl-desktop-message\",Se.textContent=ae,this._container.appendChild(Se);let Oe=document.createElement(\"div\");Oe.className=\"maplibregl-mobile-message\",Oe.textContent=we,this._container.appendChild(Oe),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(n.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(R){return R[this._bypassKey]}notifyGestureBlocked(R,ae){this._enabled&&(this._map.fire(new t.k(\"cooperativegestureprevented\",{gestureType:R,originalEvent:ae})),this._container.classList.add(\"maplibregl-show\"),setTimeout(()=>{this._container.classList.remove(\"maplibregl-show\")},100))}}let qi=Ne=>Ne.zoom||Ne.drag||Ne.pitch||Ne.rotate;class _i extends t.k{}function Mn(Ne){return Ne.panDelta&&Ne.panDelta.mag()||Ne.zoomDelta||Ne.bearingDelta||Ne.pitchDelta}class Kn{constructor(R,ae){this.handleWindowEvent=Se=>{this.handleEvent(Se,`${Se.type}Window`)},this.handleEvent=(Se,Oe)=>{if(Se.type===\"blur\")return void this.stop(!0);this._updatingCamera=!0;let pt=Se.type===\"renderFrame\"?void 0:Se,At={needsRenderFrame:!1},Bt={},$t={},br=Se.touches,Ar=br?this._getMapTouches(br):void 0,Yr=Ar?n.touchPos(this._map.getCanvas(),Ar):n.mousePos(this._map.getCanvas(),Se);for(let{handlerName:Je,handler:ut,allowed:dt}of this._handlers){if(!ut.isEnabled())continue;let Ct;this._blockedByActive($t,dt,Je)?ut.reset():ut[Oe||Se.type]&&(Ct=ut[Oe||Se.type](Se,Yr,Ar),this.mergeHandlerResult(At,Bt,Ct,Je,pt),Ct&&Ct.needsRenderFrame&&this._triggerRenderFrame()),(Ct||ut.isActive())&&($t[Je]=ut)}let sa={};for(let Je in this._previousActiveHandlers)$t[Je]||(sa[Je]=pt);this._previousActiveHandlers=$t,(Object.keys(sa).length||Mn(At))&&(this._changes.push([At,Bt,sa]),this._triggerRenderFrame()),(Object.keys($t).length||Mn(At))&&this._map._stop(!0),this._updatingCamera=!1;let{cameraAnimation:He}=At;He&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],He(this._map))},this._map=R,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new df(R),this._bearingSnap=ae.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(ae);let we=this._el;this._listeners=[[we,\"touchstart\",{passive:!0}],[we,\"touchmove\",{passive:!1}],[we,\"touchend\",void 0],[we,\"touchcancel\",void 0],[we,\"mousedown\",void 0],[we,\"mousemove\",void 0],[we,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[we,\"mouseover\",void 0],[we,\"mouseout\",void 0],[we,\"dblclick\",void 0],[we,\"click\",void 0],[we,\"keydown\",{capture:!1}],[we,\"keyup\",void 0],[we,\"wheel\",{passive:!1}],[we,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(let[Se,Oe,pt]of this._listeners)n.addEventListener(Se,Oe,Se===document?this.handleWindowEvent:this.handleEvent,pt)}destroy(){for(let[R,ae,we]of this._listeners)n.removeEventListener(R,ae,R===document?this.handleWindowEvent:this.handleEvent,we)}_addDefaultHandlers(R){let ae=this._map,we=ae.getCanvasContainer();this._add(\"mapEvent\",new vf(ae,R));let Se=ae.boxZoom=new Pu(ae,R);this._add(\"boxZoom\",Se),R.interactive&&R.boxZoom&&Se.enable();let Oe=ae.cooperativeGestures=new Fi(ae,R.cooperativeGestures);this._add(\"cooperativeGestures\",Oe),R.cooperativeGestures&&Oe.enable();let pt=new Mc(ae),At=new Pi(ae);ae.doubleClickZoom=new hi(At,pt),this._add(\"tapZoom\",pt),this._add(\"clickZoom\",At),R.interactive&&R.doubleClickZoom&&ae.doubleClickZoom.enable();let Bt=new Zi;this._add(\"tapDragZoom\",Bt);let $t=ae.touchPitch=new kc(ae);this._add(\"touchPitch\",$t),R.interactive&&R.touchPitch&&ae.touchPitch.enable(R.touchPitch);let br=ru(R),Ar=jf(R);ae.dragRotate=new dn(R,br,Ar),this._add(\"mouseRotate\",br,[\"mousePitch\"]),this._add(\"mousePitch\",Ar,[\"mouseRotate\"]),R.interactive&&R.dragRotate&&ae.dragRotate.enable();let Yr=(({enable:Ct,clickTolerance:wt})=>{let Dt=new Wu({checkCorrectEvent:ur=>n.mouseButton(ur)===0&&!ur.ctrlKey});return new Hu({clickTolerance:wt,move:(ur,mr)=>({around:mr,panDelta:mr.sub(ur)}),activateOnStart:!0,moveStateManager:Dt,enable:Ct,assignEvents:Lf})})(R),sa=new Xu(R,ae);ae.dragPan=new tn(we,Yr,sa),this._add(\"mousePan\",Yr),this._add(\"touchPan\",sa,[\"touchZoom\",\"touchRotate\"]),R.interactive&&R.dragPan&&ae.dragPan.enable(R.dragPan);let He=new Yc,Je=new gu;ae.touchZoomRotate=new Ri(we,Je,He,Bt),this._add(\"touchRotate\",He,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",Je,[\"touchPan\",\"touchRotate\"]),R.interactive&&R.touchZoomRotate&&ae.touchZoomRotate.enable(R.touchZoomRotate);let ut=ae.scrollZoom=new La(ae,()=>this._triggerRenderFrame());this._add(\"scrollZoom\",ut,[\"mousePan\"]),R.interactive&&R.scrollZoom&&ae.scrollZoom.enable(R.scrollZoom);let dt=ae.keyboard=new yr(ae);this._add(\"keyboard\",dt),R.interactive&&R.keyboard&&ae.keyboard.enable(),this._add(\"blockableMapEvent\",new ol(ae))}_add(R,ae,we){this._handlers.push({handlerName:R,handler:ae,allowed:we}),this._handlersById[R]=ae}stop(R){if(!this._updatingCamera){for(let{handler:ae}of this._handlers)ae.reset();this._inertia.clear(),this._fireEvents({},{},R),this._changes=[]}}isActive(){for(let{handler:R}of this._handlers)if(R.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return!!qi(this._eventsInProgress)||this.isZooming()}_blockedByActive(R,ae,we){for(let Se in R)if(Se!==we&&(!ae||ae.indexOf(Se)<0))return!0;return!1}_getMapTouches(R){let ae=[];for(let we of R)this._el.contains(we.target)&&ae.push(we);return ae}mergeHandlerResult(R,ae,we,Se,Oe){if(!we)return;t.e(R,we);let pt={handlerName:Se,originalEvent:we.originalEvent||Oe};we.zoomDelta!==void 0&&(ae.zoom=pt),we.panDelta!==void 0&&(ae.drag=pt),we.pitchDelta!==void 0&&(ae.pitch=pt),we.bearingDelta!==void 0&&(ae.rotate=pt)}_applyChanges(){let R={},ae={},we={};for(let[Se,Oe,pt]of this._changes)Se.panDelta&&(R.panDelta=(R.panDelta||new t.P(0,0))._add(Se.panDelta)),Se.zoomDelta&&(R.zoomDelta=(R.zoomDelta||0)+Se.zoomDelta),Se.bearingDelta&&(R.bearingDelta=(R.bearingDelta||0)+Se.bearingDelta),Se.pitchDelta&&(R.pitchDelta=(R.pitchDelta||0)+Se.pitchDelta),Se.around!==void 0&&(R.around=Se.around),Se.pinchAround!==void 0&&(R.pinchAround=Se.pinchAround),Se.noInertia&&(R.noInertia=Se.noInertia),t.e(ae,Oe),t.e(we,pt);this._updateMapTransform(R,ae,we),this._changes=[]}_updateMapTransform(R,ae,we){let Se=this._map,Oe=Se._getTransformForUpdate(),pt=Se.terrain;if(!(Mn(R)||pt&&this._terrainMovement))return this._fireEvents(ae,we,!0);let{panDelta:At,zoomDelta:Bt,bearingDelta:$t,pitchDelta:br,around:Ar,pinchAround:Yr}=R;Yr!==void 0&&(Ar=Yr),Se._stop(!0),Ar=Ar||Se.transform.centerPoint;let sa=Oe.pointLocation(At?Ar.sub(At):Ar);$t&&(Oe.bearing+=$t),br&&(Oe.pitch+=br),Bt&&(Oe.zoom+=Bt),pt?this._terrainMovement||!ae.drag&&!ae.zoom?ae.drag&&this._terrainMovement?Oe.center=Oe.pointLocation(Oe.centerPoint.sub(At)):Oe.setLocationAtPoint(sa,Ar):(this._terrainMovement=!0,this._map._elevationFreeze=!0,Oe.setLocationAtPoint(sa,Ar)):Oe.setLocationAtPoint(sa,Ar),Se._applyUpdatedTransform(Oe),this._map._update(),R.noInertia||this._inertia.record(R),this._fireEvents(ae,we,!0)}_fireEvents(R,ae,we){let Se=qi(this._eventsInProgress),Oe=qi(R),pt={};for(let Ar in R){let{originalEvent:Yr}=R[Ar];this._eventsInProgress[Ar]||(pt[`${Ar}start`]=Yr),this._eventsInProgress[Ar]=R[Ar]}!Se&&Oe&&this._fireEvent(\"movestart\",Oe.originalEvent);for(let Ar in pt)this._fireEvent(Ar,pt[Ar]);Oe&&this._fireEvent(\"move\",Oe.originalEvent);for(let Ar in R){let{originalEvent:Yr}=R[Ar];this._fireEvent(Ar,Yr)}let At={},Bt;for(let Ar in this._eventsInProgress){let{handlerName:Yr,originalEvent:sa}=this._eventsInProgress[Ar];this._handlersById[Yr].isActive()||(delete this._eventsInProgress[Ar],Bt=ae[Yr]||sa,At[`${Ar}end`]=Bt)}for(let Ar in At)this._fireEvent(Ar,At[Ar]);let $t=qi(this._eventsInProgress),br=(Se||Oe)&&!$t;if(br&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;let Ar=this._map._getTransformForUpdate();Ar.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(Ar)}if(we&&br){this._updatingCamera=!0;let Ar=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),Yr=sa=>sa!==0&&-this._bearingSnap<sa&&sa<this._bearingSnap;!Ar||!Ar.essential&&i.prefersReducedMotion?(this._map.fire(new t.k(\"moveend\",{originalEvent:Bt})),Yr(this._map.getBearing())&&this._map.resetNorth()):(Yr(Ar.bearing||this._map.getBearing())&&(Ar.bearing=0),Ar.freezeElevation=!0,this._map.easeTo(Ar,{originalEvent:Bt})),this._updatingCamera=!1}}_fireEvent(R,ae){this._map.fire(new t.k(R,ae?{originalEvent:ae}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add(R=>{delete this._frameId,this.handleEvent(new _i(\"renderFrame\",{timeStamp:R})),this._applyChanges()})}_triggerRenderFrame(){this._frameId===void 0&&(this._frameId=this._requestFrame())}}class ao extends t.E{constructor(R,ae){super(),this._renderFrameCallback=()=>{let we=Math.min((i.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(we)),we<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=R,this._bearingSnap=ae.bearingSnap,this.on(\"moveend\",()=>{delete this._requestedCameraState})}getCenter(){return new t.N(this.transform.center.lng,this.transform.center.lat)}setCenter(R,ae){return this.jumpTo({center:R},ae)}panBy(R,ae,we){return R=t.P.convert(R).mult(-1),this.panTo(this.transform.center,t.e({offset:R},ae),we)}panTo(R,ae,we){return this.easeTo(t.e({center:R},ae),we)}getZoom(){return this.transform.zoom}setZoom(R,ae){return this.jumpTo({zoom:R},ae),this}zoomTo(R,ae,we){return this.easeTo(t.e({zoom:R},ae),we)}zoomIn(R,ae){return this.zoomTo(this.getZoom()+1,R,ae),this}zoomOut(R,ae){return this.zoomTo(this.getZoom()-1,R,ae),this}getBearing(){return this.transform.bearing}setBearing(R,ae){return this.jumpTo({bearing:R},ae),this}getPadding(){return this.transform.padding}setPadding(R,ae){return this.jumpTo({padding:R},ae),this}rotateTo(R,ae,we){return this.easeTo(t.e({bearing:R},ae),we)}resetNorth(R,ae){return this.rotateTo(0,t.e({duration:1e3},R),ae),this}resetNorthPitch(R,ae){return this.easeTo(t.e({bearing:0,pitch:0,duration:1e3},R),ae),this}snapToNorth(R,ae){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(R,ae):this}getPitch(){return this.transform.pitch}setPitch(R,ae){return this.jumpTo({pitch:R},ae),this}cameraForBounds(R,ae){R=re.convert(R).adjustAntiMeridian();let we=ae&&ae.bearing||0;return this._cameraForBoxAndBearing(R.getNorthWest(),R.getSouthEast(),we,ae)}_cameraForBoxAndBearing(R,ae,we,Se){let Oe={top:0,bottom:0,right:0,left:0};if(typeof(Se=t.e({padding:Oe,offset:[0,0],maxZoom:this.transform.maxZoom},Se)).padding==\"number\"){let Sa=Se.padding;Se.padding={top:Sa,bottom:Sa,right:Sa,left:Sa}}Se.padding=t.e(Oe,Se.padding);let pt=this.transform,At=pt.padding,Bt=new re(R,ae),$t=pt.project(Bt.getNorthWest()),br=pt.project(Bt.getNorthEast()),Ar=pt.project(Bt.getSouthEast()),Yr=pt.project(Bt.getSouthWest()),sa=t.ba(-we),He=$t.rotate(sa),Je=br.rotate(sa),ut=Ar.rotate(sa),dt=Yr.rotate(sa),Ct=new t.P(Math.max(He.x,Je.x,dt.x,ut.x),Math.max(He.y,Je.y,dt.y,ut.y)),wt=new t.P(Math.min(He.x,Je.x,dt.x,ut.x),Math.min(He.y,Je.y,dt.y,ut.y)),Dt=Ct.sub(wt),ur=(pt.width-(At.left+At.right+Se.padding.left+Se.padding.right))/Dt.x,mr=(pt.height-(At.top+At.bottom+Se.padding.top+Se.padding.bottom))/Dt.y;if(mr<0||ur<0)return void t.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");let Er=Math.min(pt.scaleZoom(pt.scale*Math.min(ur,mr)),Se.maxZoom),Br=t.P.convert(Se.offset),Qr=new t.P((Se.padding.left-Se.padding.right)/2,(Se.padding.top-Se.padding.bottom)/2).rotate(t.ba(we)),ga=Br.add(Qr).mult(pt.scale/pt.zoomScale(Er));return{center:pt.unproject($t.add(Ar).div(2).sub(ga)),zoom:Er,bearing:we}}fitBounds(R,ae,we){return this._fitInternal(this.cameraForBounds(R,ae),ae,we)}fitScreenCoordinates(R,ae,we,Se,Oe){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.P.convert(R)),this.transform.pointLocation(t.P.convert(ae)),we,Se),Se,Oe)}_fitInternal(R,ae,we){return R?(delete(ae=t.e(R,ae)).padding,ae.linear?this.easeTo(ae,we):this.flyTo(ae,we)):this}jumpTo(R,ae){this.stop();let we=this._getTransformForUpdate(),Se=!1,Oe=!1,pt=!1;return\"zoom\"in R&&we.zoom!==+R.zoom&&(Se=!0,we.zoom=+R.zoom),R.center!==void 0&&(we.center=t.N.convert(R.center)),\"bearing\"in R&&we.bearing!==+R.bearing&&(Oe=!0,we.bearing=+R.bearing),\"pitch\"in R&&we.pitch!==+R.pitch&&(pt=!0,we.pitch=+R.pitch),R.padding==null||we.isPaddingEqual(R.padding)||(we.padding=R.padding),this._applyUpdatedTransform(we),this.fire(new t.k(\"movestart\",ae)).fire(new t.k(\"move\",ae)),Se&&this.fire(new t.k(\"zoomstart\",ae)).fire(new t.k(\"zoom\",ae)).fire(new t.k(\"zoomend\",ae)),Oe&&this.fire(new t.k(\"rotatestart\",ae)).fire(new t.k(\"rotate\",ae)).fire(new t.k(\"rotateend\",ae)),pt&&this.fire(new t.k(\"pitchstart\",ae)).fire(new t.k(\"pitch\",ae)).fire(new t.k(\"pitchend\",ae)),this.fire(new t.k(\"moveend\",ae))}calculateCameraOptionsFromTo(R,ae,we,Se=0){let Oe=t.Z.fromLngLat(R,ae),pt=t.Z.fromLngLat(we,Se),At=pt.x-Oe.x,Bt=pt.y-Oe.y,$t=pt.z-Oe.z,br=Math.hypot(At,Bt,$t);if(br===0)throw new Error(\"Can't calculate camera options with same From and To\");let Ar=Math.hypot(At,Bt),Yr=this.transform.scaleZoom(this.transform.cameraToCenterDistance/br/this.transform.tileSize),sa=180*Math.atan2(At,-Bt)/Math.PI,He=180*Math.acos(Ar/br)/Math.PI;return He=$t<0?90-He:90+He,{center:pt.toLngLat(),zoom:Yr,pitch:He,bearing:sa}}easeTo(R,ae){var we;this._stop(!1,R.easeId),((R=t.e({offset:[0,0],duration:500,easing:t.b9},R)).animate===!1||!R.essential&&i.prefersReducedMotion)&&(R.duration=0);let Se=this._getTransformForUpdate(),Oe=Se.zoom,pt=Se.bearing,At=Se.pitch,Bt=Se.padding,$t=\"bearing\"in R?this._normalizeBearing(R.bearing,pt):pt,br=\"pitch\"in R?+R.pitch:At,Ar=\"padding\"in R?R.padding:Se.padding,Yr=t.P.convert(R.offset),sa=Se.centerPoint.add(Yr),He=Se.pointLocation(sa),{center:Je,zoom:ut}=Se.getConstrained(t.N.convert(R.center||He),(we=R.zoom)!==null&&we!==void 0?we:Oe);this._normalizeCenter(Je,Se);let dt=Se.project(He),Ct=Se.project(Je).sub(dt),wt=Se.zoomScale(ut-Oe),Dt,ur;R.around&&(Dt=t.N.convert(R.around),ur=Se.locationPoint(Dt));let mr={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||ut!==Oe,this._rotating=this._rotating||pt!==$t,this._pitching=this._pitching||br!==At,this._padding=!Se.isPaddingEqual(Ar),this._easeId=R.easeId,this._prepareEase(ae,R.noMoveStart,mr),this.terrain&&this._prepareElevation(Je),this._ease(Er=>{if(this._zooming&&(Se.zoom=t.y.number(Oe,ut,Er)),this._rotating&&(Se.bearing=t.y.number(pt,$t,Er)),this._pitching&&(Se.pitch=t.y.number(At,br,Er)),this._padding&&(Se.interpolatePadding(Bt,Ar,Er),sa=Se.centerPoint.add(Yr)),this.terrain&&!R.freezeElevation&&this._updateElevation(Er),Dt)Se.setLocationAtPoint(Dt,ur);else{let Br=Se.zoomScale(Se.zoom-Oe),Qr=ut>Oe?Math.min(2,wt):Math.max(.5,wt),ga=Math.pow(Qr,1-Er),Sa=Se.unproject(dt.add(Ct.mult(Er*ga)).mult(Br));Se.setLocationAtPoint(Se.renderWorldCopies?Sa.wrap():Sa,sa)}this._applyUpdatedTransform(Se),this._fireMoveEvents(ae)},Er=>{this.terrain&&R.freezeElevation&&this._finalizeElevation(),this._afterEase(ae,Er)},R),this}_prepareEase(R,ae,we={}){this._moving=!0,ae||we.moving||this.fire(new t.k(\"movestart\",R)),this._zooming&&!we.zooming&&this.fire(new t.k(\"zoomstart\",R)),this._rotating&&!we.rotating&&this.fire(new t.k(\"rotatestart\",R)),this._pitching&&!we.pitching&&this.fire(new t.k(\"pitchstart\",R))}_prepareElevation(R){this._elevationCenter=R,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(R,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(R){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);let ae=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(R<1&&ae!==this._elevationTarget){let we=this._elevationTarget-this._elevationStart;this._elevationStart+=R*(we-(ae-(we*R+this._elevationStart))/(1-R)),this._elevationTarget=ae}this.transform.elevation=t.y.number(this._elevationStart,this._elevationTarget,R)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(R){let ae=R.getCameraPosition(),we=this.terrain.getElevationForLngLatZoom(ae.lngLat,R.zoom);if(ae.altitude<we){let Se=this.calculateCameraOptionsFromTo(ae.lngLat,we,R.center,R.elevation);return{pitch:Se.pitch,zoom:Se.zoom}}return{}}_applyUpdatedTransform(R){let ae=[];if(this.terrain&&ae.push(Se=>this._elevateCameraIfInsideTerrain(Se)),this.transformCameraUpdate&&ae.push(Se=>this.transformCameraUpdate(Se)),!ae.length)return;let we=R.clone();for(let Se of ae){let Oe=we.clone(),{center:pt,zoom:At,pitch:Bt,bearing:$t,elevation:br}=Se(Oe);pt&&(Oe.center=pt),At!==void 0&&(Oe.zoom=At),Bt!==void 0&&(Oe.pitch=Bt),$t!==void 0&&(Oe.bearing=$t),br!==void 0&&(Oe.elevation=br),we.apply(Oe)}this.transform.apply(we)}_fireMoveEvents(R){this.fire(new t.k(\"move\",R)),this._zooming&&this.fire(new t.k(\"zoom\",R)),this._rotating&&this.fire(new t.k(\"rotate\",R)),this._pitching&&this.fire(new t.k(\"pitch\",R))}_afterEase(R,ae){if(this._easeId&&ae&&this._easeId===ae)return;delete this._easeId;let we=this._zooming,Se=this._rotating,Oe=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,we&&this.fire(new t.k(\"zoomend\",R)),Se&&this.fire(new t.k(\"rotateend\",R)),Oe&&this.fire(new t.k(\"pitchend\",R)),this.fire(new t.k(\"moveend\",R))}flyTo(R,ae){var we;if(!R.essential&&i.prefersReducedMotion){let on=t.M(R,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(on,ae)}this.stop(),R=t.e({offset:[0,0],speed:1.2,curve:1.42,easing:t.b9},R);let Se=this._getTransformForUpdate(),Oe=Se.zoom,pt=Se.bearing,At=Se.pitch,Bt=Se.padding,$t=\"bearing\"in R?this._normalizeBearing(R.bearing,pt):pt,br=\"pitch\"in R?+R.pitch:At,Ar=\"padding\"in R?R.padding:Se.padding,Yr=t.P.convert(R.offset),sa=Se.centerPoint.add(Yr),He=Se.pointLocation(sa),{center:Je,zoom:ut}=Se.getConstrained(t.N.convert(R.center||He),(we=R.zoom)!==null&&we!==void 0?we:Oe);this._normalizeCenter(Je,Se);let dt=Se.zoomScale(ut-Oe),Ct=Se.project(He),wt=Se.project(Je).sub(Ct),Dt=R.curve,ur=Math.max(Se.width,Se.height),mr=ur/dt,Er=wt.mag();if(\"minZoom\"in R){let on=t.ac(Math.min(R.minZoom,Oe,ut),Se.minZoom,Se.maxZoom),Tn=ur/Se.zoomScale(on-Oe);Dt=Math.sqrt(Tn/Er*2)}let Br=Dt*Dt;function Qr(on){let Tn=(mr*mr-ur*ur+(on?-1:1)*Br*Br*Er*Er)/(2*(on?mr:ur)*Br*Er);return Math.log(Math.sqrt(Tn*Tn+1)-Tn)}function ga(on){return(Math.exp(on)-Math.exp(-on))/2}function Sa(on){return(Math.exp(on)+Math.exp(-on))/2}let Oa=Qr(!1),di=function(on){return Sa(Oa)/Sa(Oa+Dt*on)},Wi=function(on){return ur*((Sa(Oa)*(ga(Tn=Oa+Dt*on)/Sa(Tn))-ga(Oa))/Br)/Er;var Tn},Gi=(Qr(!0)-Oa)/Dt;if(Math.abs(Er)<1e-6||!isFinite(Gi)){if(Math.abs(ur-mr)<1e-6)return this.easeTo(R,ae);let on=mr<ur?-1:1;Gi=Math.abs(Math.log(mr/ur))/Dt,Wi=()=>0,di=Tn=>Math.exp(on*Dt*Tn)}return R.duration=\"duration\"in R?+R.duration:1e3*Gi/(\"screenSpeed\"in R?+R.screenSpeed/Dt:+R.speed),R.maxDuration&&R.duration>R.maxDuration&&(R.duration=0),this._zooming=!0,this._rotating=pt!==$t,this._pitching=br!==At,this._padding=!Se.isPaddingEqual(Ar),this._prepareEase(ae,!1),this.terrain&&this._prepareElevation(Je),this._ease(on=>{let Tn=on*Gi,Wn=1/di(Tn);Se.zoom=on===1?ut:Oe+Se.scaleZoom(Wn),this._rotating&&(Se.bearing=t.y.number(pt,$t,on)),this._pitching&&(Se.pitch=t.y.number(At,br,on)),this._padding&&(Se.interpolatePadding(Bt,Ar,on),sa=Se.centerPoint.add(Yr)),this.terrain&&!R.freezeElevation&&this._updateElevation(on);let Bn=on===1?Je:Se.unproject(Ct.add(wt.mult(Wi(Tn))).mult(Wn));Se.setLocationAtPoint(Se.renderWorldCopies?Bn.wrap():Bn,sa),this._applyUpdatedTransform(Se),this._fireMoveEvents(ae)},()=>{this.terrain&&R.freezeElevation&&this._finalizeElevation(),this._afterEase(ae)},R),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(R,ae){var we;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){let Se=this._onEaseEnd;delete this._onEaseEnd,Se.call(this,ae)}return R||(we=this.handlers)===null||we===void 0||we.stop(!1),this}_ease(R,ae,we){we.animate===!1||we.duration===0?(R(1),ae()):(this._easeStart=i.now(),this._easeOptions=we,this._onEaseFrame=R,this._onEaseEnd=ae,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(R,ae){R=t.b3(R,-180,180);let we=Math.abs(R-ae);return Math.abs(R-360-ae)<we&&(R-=360),Math.abs(R+360-ae)<we&&(R+=360),R}_normalizeCenter(R,ae){if(!ae.renderWorldCopies||ae.lngRange)return;let we=R.lng-ae.center.lng;R.lng+=we>180?-360:we<-180?360:0}queryTerrainElevation(R){return this.terrain?this.terrain.getElevationForLngLatZoom(t.N.convert(R),this.transform.tileZoom)-this.transform.elevation:null}}let Jn={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class co{constructor(R=Jn){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=ae=>{!ae||ae.sourceDataType!==\"metadata\"&&ae.sourceDataType!==\"visibility\"&&ae.dataType!==\"style\"&&ae.type!==\"terrain\"||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact===!1?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=R}getDefaultPosition(){return\"bottom-right\"}onAdd(R){return this._map=R,this._compact=this.options.compact,this._container=n.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=n.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=n.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){n.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(R,ae){let we=this._map._getUIString(`AttributionControl.${ae}`);R.title=we,R.setAttribute(\"aria-label\",we)}_updateAttributions(){if(!this._map.style)return;let R=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?R=R.concat(this.options.customAttribution.map(Se=>typeof Se!=\"string\"?\"\":Se)):typeof this.options.customAttribution==\"string\"&&R.push(this.options.customAttribution)),this._map.style.stylesheet){let Se=this._map.style.stylesheet;this.styleOwner=Se.owner,this.styleId=Se.id}let ae=this._map.style.sourceCaches;for(let Se in ae){let Oe=ae[Se];if(Oe.used||Oe.usedForTerrain){let pt=Oe.getSource();pt.attribution&&R.indexOf(pt.attribution)<0&&R.push(pt.attribution)}}R=R.filter(Se=>String(Se).trim()),R.sort((Se,Oe)=>Se.length-Oe.length),R=R.filter((Se,Oe)=>{for(let pt=Oe+1;pt<R.length;pt++)if(R[pt].indexOf(Se)>=0)return!1;return!0});let we=R.join(\" | \");we!==this._attribHTML&&(this._attribHTML=we,R.length?(this._innerContainer.innerHTML=we,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class wn{constructor(R={}){this._updateCompact=()=>{let ae=this._container.children;if(ae.length){let we=ae[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact!==!1&&we.classList.add(\"maplibregl-compact\"):we.classList.remove(\"maplibregl-compact\")}},this.options=R}getDefaultPosition(){return\"bottom-left\"}onAdd(R){this._map=R,this._compact=this.options&&this.options.compact,this._container=n.create(\"div\",\"maplibregl-ctrl\");let ae=n.create(\"a\",\"maplibregl-ctrl-logo\");return ae.target=\"_blank\",ae.rel=\"noopener nofollow\",ae.href=\"https://maplibre.org/\",ae.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),ae.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(ae),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){n.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class un{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(R){let ae=++this._id;return this._queue.push({callback:R,id:ae,cancelled:!1}),ae}remove(R){let ae=this._currentlyRunning,we=ae?this._queue.concat(ae):this._queue;for(let Se of we)if(Se.id===R)return void(Se.cancelled=!0)}run(R=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");let ae=this._currentlyRunning=this._queue;this._queue=[];for(let we of ae)if(!we.cancelled&&(we.callback(R),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var _o=t.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class Qo extends t.E{constructor(R){super(),this.sourceCache=R,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,R.usedForTerrain=!0,R.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(R,ae){this.sourceCache.update(R,ae),this._renderableTilesKeys=[];let we={};for(let Se of R.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:ae}))we[Se.key]=!0,this._renderableTilesKeys.push(Se.key),this._tiles[Se.key]||(Se.posMatrix=new Float64Array(16),t.aP(Se.posMatrix,0,t.X,0,t.X,0,1),this._tiles[Se.key]=new st(Se,this.tileSize));for(let Se in this._tiles)we[Se]||delete this._tiles[Se]}freeRtt(R){for(let ae in this._tiles){let we=this._tiles[ae];(!R||we.tileID.equals(R)||we.tileID.isChildOf(R)||R.isChildOf(we.tileID))&&(we.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map(R=>this.getTileByID(R))}getTileByID(R){return this._tiles[R]}getTerrainCoords(R){let ae={};for(let we of this._renderableTilesKeys){let Se=this._tiles[we].tileID;if(Se.canonical.equals(R.canonical)){let Oe=R.clone();Oe.posMatrix=new Float64Array(16),t.aP(Oe.posMatrix,0,t.X,0,t.X,0,1),ae[we]=Oe}else if(Se.canonical.isChildOf(R.canonical)){let Oe=R.clone();Oe.posMatrix=new Float64Array(16);let pt=Se.canonical.z-R.canonical.z,At=Se.canonical.x-(Se.canonical.x>>pt<<pt),Bt=Se.canonical.y-(Se.canonical.y>>pt<<pt),$t=t.X>>pt;t.aP(Oe.posMatrix,0,$t,0,$t,0,1),t.J(Oe.posMatrix,Oe.posMatrix,[-At*$t,-Bt*$t,0]),ae[we]=Oe}else if(R.canonical.isChildOf(Se.canonical)){let Oe=R.clone();Oe.posMatrix=new Float64Array(16);let pt=R.canonical.z-Se.canonical.z,At=R.canonical.x-(R.canonical.x>>pt<<pt),Bt=R.canonical.y-(R.canonical.y>>pt<<pt),$t=t.X>>pt;t.aP(Oe.posMatrix,0,t.X,0,t.X,0,1),t.J(Oe.posMatrix,Oe.posMatrix,[At*$t,Bt*$t,0]),t.K(Oe.posMatrix,Oe.posMatrix,[1/2**pt,1/2**pt,0]),ae[we]=Oe}}return ae}getSourceTile(R,ae){let we=this.sourceCache._source,Se=R.overscaledZ-this.deltaZoom;if(Se>we.maxzoom&&(Se=we.maxzoom),Se<we.minzoom)return null;this._sourceTileCache[R.key]||(this._sourceTileCache[R.key]=R.scaledTo(Se).key);let Oe=this.sourceCache.getTileByID(this._sourceTileCache[R.key]);if((!Oe||!Oe.dem)&&ae)for(;Se>=we.minzoom&&(!Oe||!Oe.dem);)Oe=this.sourceCache.getTileByID(R.scaledTo(Se--).key);return Oe}tilesAfterTime(R=Date.now()){return Object.values(this._tiles).filter(ae=>ae.timeAdded>=R)}}class xs{constructor(R,ae,we){this.painter=R,this.sourceCache=new Qo(ae),this.options=we,this.exaggeration=typeof we.exaggeration==\"number\"?we.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(R,ae,we,Se=t.X){var Oe;if(!(ae>=0&&ae<Se&&we>=0&&we<Se))return 0;let pt=this.getTerrainData(R),At=(Oe=pt.tile)===null||Oe===void 0?void 0:Oe.dem;if(!At)return 0;let Bt=function(He,Je,ut){var dt=Je[0],Ct=Je[1];return He[0]=ut[0]*dt+ut[4]*Ct+ut[12],He[1]=ut[1]*dt+ut[5]*Ct+ut[13],He}([],[ae/Se*t.X,we/Se*t.X],pt.u_terrain_matrix),$t=[Bt[0]*At.dim,Bt[1]*At.dim],br=Math.floor($t[0]),Ar=Math.floor($t[1]),Yr=$t[0]-br,sa=$t[1]-Ar;return At.get(br,Ar)*(1-Yr)*(1-sa)+At.get(br+1,Ar)*Yr*(1-sa)+At.get(br,Ar+1)*(1-Yr)*sa+At.get(br+1,Ar+1)*Yr*sa}getElevationForLngLatZoom(R,ae){if(!t.bb(ae,R.wrap()))return 0;let{tileID:we,mercatorX:Se,mercatorY:Oe}=this._getOverscaledTileIDFromLngLatZoom(R,ae);return this.getElevation(we,Se%t.X,Oe%t.X,t.X)}getElevation(R,ae,we,Se=t.X){return this.getDEMElevation(R,ae,we,Se)*this.exaggeration}getTerrainData(R){if(!this._emptyDemTexture){let Se=this.painter.context,Oe=new t.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new u(Se,Oe,Se.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new u(Se,new t.R({width:1,height:1}),Se.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(Se.gl.NEAREST,Se.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=t.an([])}let ae=this.sourceCache.getSourceTile(R,!0);if(ae&&ae.dem&&(!ae.demTexture||ae.needsTerrainPrepare)){let Se=this.painter.context;ae.demTexture=this.painter.getTileTexture(ae.dem.stride),ae.demTexture?ae.demTexture.update(ae.dem.getPixels(),{premultiply:!1}):ae.demTexture=new u(Se,ae.dem.getPixels(),Se.gl.RGBA,{premultiply:!1}),ae.demTexture.bind(Se.gl.NEAREST,Se.gl.CLAMP_TO_EDGE),ae.needsTerrainPrepare=!1}let we=ae&&ae+ae.tileID.key+R.key;if(we&&!this._demMatrixCache[we]){let Se=this.sourceCache.sourceCache._source.maxzoom,Oe=R.canonical.z-ae.tileID.canonical.z;R.overscaledZ>R.canonical.z&&(R.canonical.z>=Se?Oe=R.canonical.z-Se:t.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));let pt=R.canonical.x-(R.canonical.x>>Oe<<Oe),At=R.canonical.y-(R.canonical.y>>Oe<<Oe),Bt=t.bc(new Float64Array(16),[1/(t.X<<Oe),1/(t.X<<Oe),0]);t.J(Bt,Bt,[pt*t.X,At*t.X,0]),this._demMatrixCache[R.key]={matrix:Bt,coord:R}}return{u_depth:2,u_terrain:3,u_terrain_dim:ae&&ae.dem&&ae.dem.dim||1,u_terrain_matrix:we?this._demMatrixCache[R.key].matrix:this._emptyDemMatrix,u_terrain_unpack:ae&&ae.dem&&ae.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(ae&&ae.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:ae}}getFramebuffer(R){let ae=this.painter,we=ae.width/devicePixelRatio,Se=ae.height/devicePixelRatio;return!this._fbo||this._fbo.width===we&&this._fbo.height===Se||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new u(ae.context,{width:we,height:Se,data:null},ae.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(ae.context.gl.NEAREST,ae.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new u(ae.context,{width:we,height:Se,data:null},ae.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(ae.context.gl.NEAREST,ae.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=ae.context.createFramebuffer(we,Se,!0,!1),this._fbo.depthAttachment.set(ae.context.createRenderbuffer(ae.context.gl.DEPTH_COMPONENT16,we,Se))),this._fbo.colorAttachment.set(R===\"coords\"?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){let R=this.painter.context;if(this._coordsTexture)return this._coordsTexture;let ae=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let Oe=0,pt=0;Oe<this._coordsTextureSize;Oe++)for(let At=0;At<this._coordsTextureSize;At++,pt+=4)ae[pt+0]=255&At,ae[pt+1]=255&Oe,ae[pt+2]=At>>8<<4|Oe>>8,ae[pt+3]=0;let we=new t.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(ae.buffer)),Se=new u(R,we,R.gl.RGBA,{premultiply:!1});return Se.bind(R.gl.NEAREST,R.gl.CLAMP_TO_EDGE),this._coordsTexture=Se,Se}pointCoordinate(R){this.painter.maybeDrawDepthAndCoords(!0);let ae=new Uint8Array(4),we=this.painter.context,Se=we.gl,Oe=Math.round(R.x*this.painter.pixelRatio/devicePixelRatio),pt=Math.round(R.y*this.painter.pixelRatio/devicePixelRatio),At=Math.round(this.painter.height/devicePixelRatio);we.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),Se.readPixels(Oe,At-pt-1,1,1,Se.RGBA,Se.UNSIGNED_BYTE,ae),we.bindFramebuffer.set(null);let Bt=ae[0]+(ae[2]>>4<<8),$t=ae[1]+((15&ae[2])<<8),br=this.coordsIndex[255-ae[3]],Ar=br&&this.sourceCache.getTileByID(br);if(!Ar)return null;let Yr=this._coordsTextureSize,sa=(1<<Ar.tileID.canonical.z)*Yr;return new t.Z((Ar.tileID.canonical.x*Yr+Bt)/sa+Ar.tileID.wrap,(Ar.tileID.canonical.y*Yr+$t)/sa,this.getElevation(Ar.tileID,Bt,$t,Yr))}depthAtPoint(R){let ae=new Uint8Array(4),we=this.painter.context,Se=we.gl;return we.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),Se.readPixels(R.x,this.painter.height/devicePixelRatio-R.y-1,1,1,Se.RGBA,Se.UNSIGNED_BYTE,ae),we.bindFramebuffer.set(null),(ae[0]/16777216+ae[1]/65536+ae[2]/256+ae[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;let R=this.painter.context,ae=new t.bd,we=new t.aY,Se=this.meshSize,Oe=t.X/Se,pt=Se*Se;for(let Ar=0;Ar<=Se;Ar++)for(let Yr=0;Yr<=Se;Yr++)ae.emplaceBack(Yr*Oe,Ar*Oe,0);for(let Ar=0;Ar<pt;Ar+=Se+1)for(let Yr=0;Yr<Se;Yr++)we.emplaceBack(Yr+Ar,Se+Yr+Ar+1,Se+Yr+Ar+2),we.emplaceBack(Yr+Ar,Se+Yr+Ar+2,Yr+Ar+1);let At=ae.length,Bt=At+2*(Se+1);for(let Ar of[0,1])for(let Yr=0;Yr<=Se;Yr++)for(let sa of[0,1])ae.emplaceBack(Yr*Oe,Ar*t.X,sa);for(let Ar=0;Ar<2*Se;Ar+=2)we.emplaceBack(Bt+Ar,Bt+Ar+1,Bt+Ar+3),we.emplaceBack(Bt+Ar,Bt+Ar+3,Bt+Ar+2),we.emplaceBack(At+Ar,At+Ar+3,At+Ar+1),we.emplaceBack(At+Ar,At+Ar+2,At+Ar+3);let $t=ae.length,br=$t+2*(Se+1);for(let Ar of[0,1])for(let Yr=0;Yr<=Se;Yr++)for(let sa of[0,1])ae.emplaceBack(Ar*t.X,Yr*Oe,sa);for(let Ar=0;Ar<2*Se;Ar+=2)we.emplaceBack($t+Ar,$t+Ar+1,$t+Ar+3),we.emplaceBack($t+Ar,$t+Ar+3,$t+Ar+2),we.emplaceBack(br+Ar,br+Ar+3,br+Ar+1),we.emplaceBack(br+Ar,br+Ar+2,br+Ar+3);return this._mesh=new Lu(R.createVertexBuffer(ae,_o.members),R.createIndexBuffer(we),t.a0.simpleSegment(0,0,ae.length,we.length)),this._mesh}getMeshFrameDelta(R){return 2*Math.PI*t.be/Math.pow(2,R)/5}getMinTileElevationForLngLatZoom(R,ae){var we;let{tileID:Se}=this._getOverscaledTileIDFromLngLatZoom(R,ae);return(we=this.getMinMaxElevation(Se).minElevation)!==null&&we!==void 0?we:0}getMinMaxElevation(R){let ae=this.getTerrainData(R).tile,we={minElevation:null,maxElevation:null};return ae&&ae.dem&&(we.minElevation=ae.dem.min*this.exaggeration,we.maxElevation=ae.dem.max*this.exaggeration),we}_getOverscaledTileIDFromLngLatZoom(R,ae){let we=t.Z.fromLngLat(R.wrap()),Se=(1<<ae)*t.X,Oe=we.x*Se,pt=we.y*Se,At=Math.floor(Oe/t.X),Bt=Math.floor(pt/t.X);return{tileID:new t.S(ae,0,ae,At,Bt),mercatorX:Oe,mercatorY:pt}}}class Qs{constructor(R,ae,we){this._context=R,this._size=ae,this._tileSize=we,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(let R of this._objects)R.texture.destroy(),R.fbo.destroy()}_createObject(R){let ae=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),we=new u(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return we.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),ae.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),ae.colorAttachment.set(we.texture),{id:R,fbo:ae,texture:we,stamp:-1,inUse:!1}}getObjectForId(R){return this._objects[R]}useObject(R){R.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter(ae=>R.id!==ae),this._recentlyUsed.push(R.id)}stampObject(R){R.stamp=++this._stamp}getOrCreateFreeObject(){for(let ae of this._recentlyUsed)if(!this._objects[ae].inUse)return this._objects[ae];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");let R=this._createObject(this._objects.length);return this._objects.push(R),R}freeObject(R){R.inUse=!1}freeAllObjects(){for(let R of this._objects)this.freeObject(R)}isFull(){return!(this._objects.length<this._size)&&this._objects.some(R=>!R.inUse)===!1}}let Rs={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class Ks{constructor(R,ae){this.painter=R,this.terrain=ae,this.pool=new Qs(R.context,30,ae.sourceCache.tileSize*ae.qualityFactor)}destruct(){this.pool.destruct()}getTexture(R){return this.pool.getObjectForId(R.rtt[this._stacks.length-1].id).texture}prepareForRender(R,ae){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=R._order.filter(we=>!R._layers[we].isHidden(ae)),this._coordsDescendingInv={};for(let we in R.sourceCaches){this._coordsDescendingInv[we]={};let Se=R.sourceCaches[we].getVisibleCoordinates();for(let Oe of Se){let pt=this.terrain.sourceCache.getTerrainCoords(Oe);for(let At in pt)this._coordsDescendingInv[we][At]||(this._coordsDescendingInv[we][At]=[]),this._coordsDescendingInv[we][At].push(pt[At])}}this._coordsDescendingInvStr={};for(let we of R._order){let Se=R._layers[we],Oe=Se.source;if(Rs[Se.type]&&!this._coordsDescendingInvStr[Oe]){this._coordsDescendingInvStr[Oe]={};for(let pt in this._coordsDescendingInv[Oe])this._coordsDescendingInvStr[Oe][pt]=this._coordsDescendingInv[Oe][pt].map(At=>At.key).sort().join()}}for(let we of this._renderableTiles)for(let Se in this._coordsDescendingInvStr){let Oe=this._coordsDescendingInvStr[Se][we.tileID.key];Oe&&Oe!==we.rttCoords[Se]&&(we.rtt=[])}}renderLayer(R){if(R.isHidden(this.painter.transform.zoom))return!1;let ae=R.type,we=this.painter,Se=this._renderableLayerIds[this._renderableLayerIds.length-1]===R.id;if(Rs[ae]&&(this._prevType&&Rs[this._prevType]||this._stacks.push([]),this._prevType=ae,this._stacks[this._stacks.length-1].push(R.id),!Se))return!0;if(Rs[this._prevType]||Rs[ae]&&Se){this._prevType=ae;let Oe=this._stacks.length-1,pt=this._stacks[Oe]||[];for(let At of this._renderableTiles){if(this.pool.isFull()&&(ml(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(At),At.rtt[Oe]){let $t=this.pool.getObjectForId(At.rtt[Oe].id);if($t.stamp===At.rtt[Oe].stamp){this.pool.useObject($t);continue}}let Bt=this.pool.getOrCreateFreeObject();this.pool.useObject(Bt),this.pool.stampObject(Bt),At.rtt[Oe]={id:Bt.id,stamp:Bt.stamp},we.context.bindFramebuffer.set(Bt.fbo.framebuffer),we.context.clear({color:t.aM.transparent,stencil:0}),we.currentStencilSource=void 0;for(let $t=0;$t<pt.length;$t++){let br=we.style._layers[pt[$t]],Ar=br.source?this._coordsDescendingInv[br.source][At.tileID.key]:[At.tileID];we.context.viewport.set([0,0,Bt.fbo.width,Bt.fbo.height]),we._renderTileClippingMasks(br,Ar),we.renderLayer(we,we.style.sourceCaches[br.source],br,Ar),br.source&&(At.rttCoords[br.source]=this._coordsDescendingInvStr[br.source][At.tileID.key])}}return ml(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),Rs[ae]}return!1}}let ys={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use \\u2318 + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},Fl=r,yl={hash:!1,interactive:!0,bearingSnap:7,attributionControl:Jn,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:t.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0},sl=Ne=>{Ne.touchstart=Ne.dragStart,Ne.touchmoveWindow=Ne.dragMove,Ne.touchend=Ne.dragEnd},Un={showCompass:!0,showZoom:!0,visualizePitch:!1};class Io{constructor(R,ae,we=!1){this.mousedown=pt=>{this.startMouse(t.e({},pt,{ctrlKey:!0,preventDefault:()=>pt.preventDefault()}),n.mousePos(this.element,pt)),n.addEventListener(window,\"mousemove\",this.mousemove),n.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=pt=>{this.moveMouse(pt,n.mousePos(this.element,pt))},this.mouseup=pt=>{this.mouseRotate.dragEnd(pt),this.mousePitch&&this.mousePitch.dragEnd(pt),this.offTemp()},this.touchstart=pt=>{pt.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=n.touchPos(this.element,pt.targetTouches)[0],this.startTouch(pt,this._startPos),n.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),n.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=pt=>{pt.targetTouches.length!==1?this.reset():(this._lastPos=n.touchPos(this.element,pt.targetTouches)[0],this.moveTouch(pt,this._lastPos))},this.touchend=pt=>{pt.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;let Se=R.dragRotate._mouseRotate.getClickTolerance(),Oe=R.dragRotate._mousePitch.getClickTolerance();this.element=ae,this.mouseRotate=ru({clickTolerance:Se,enable:!0}),this.touchRotate=(({enable:pt,clickTolerance:At,bearingDegreesPerPixelMoved:Bt=.8})=>{let $t=new Zc;return new Hu({clickTolerance:At,move:(br,Ar)=>({bearingDelta:(Ar.x-br.x)*Bt}),moveStateManager:$t,enable:pt,assignEvents:sl})})({clickTolerance:Se,enable:!0}),this.map=R,we&&(this.mousePitch=jf({clickTolerance:Oe,enable:!0}),this.touchPitch=(({enable:pt,clickTolerance:At,pitchDegreesPerPixelMoved:Bt=-.5})=>{let $t=new Zc;return new Hu({clickTolerance:At,move:(br,Ar)=>({pitchDelta:(Ar.y-br.y)*Bt}),moveStateManager:$t,enable:pt,assignEvents:sl})})({clickTolerance:Oe,enable:!0})),n.addEventListener(ae,\"mousedown\",this.mousedown),n.addEventListener(ae,\"touchstart\",this.touchstart,{passive:!1}),n.addEventListener(ae,\"touchcancel\",this.reset)}startMouse(R,ae){this.mouseRotate.dragStart(R,ae),this.mousePitch&&this.mousePitch.dragStart(R,ae),n.disableDrag()}startTouch(R,ae){this.touchRotate.dragStart(R,ae),this.touchPitch&&this.touchPitch.dragStart(R,ae),n.disableDrag()}moveMouse(R,ae){let we=this.map,{bearingDelta:Se}=this.mouseRotate.dragMove(R,ae)||{};if(Se&&we.setBearing(we.getBearing()+Se),this.mousePitch){let{pitchDelta:Oe}=this.mousePitch.dragMove(R,ae)||{};Oe&&we.setPitch(we.getPitch()+Oe)}}moveTouch(R,ae){let we=this.map,{bearingDelta:Se}=this.touchRotate.dragMove(R,ae)||{};if(Se&&we.setBearing(we.getBearing()+Se),this.touchPitch){let{pitchDelta:Oe}=this.touchPitch.dragMove(R,ae)||{};Oe&&we.setPitch(we.getPitch()+Oe)}}off(){let R=this.element;n.removeEventListener(R,\"mousedown\",this.mousedown),n.removeEventListener(R,\"touchstart\",this.touchstart,{passive:!1}),n.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),n.removeEventListener(window,\"touchend\",this.touchend),n.removeEventListener(R,\"touchcancel\",this.reset),this.offTemp()}offTemp(){n.enableDrag(),n.removeEventListener(window,\"mousemove\",this.mousemove),n.removeEventListener(window,\"mouseup\",this.mouseup),n.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),n.removeEventListener(window,\"touchend\",this.touchend)}}let Xs;function Ls(Ne,R,ae){let we=new t.N(Ne.lng,Ne.lat);if(Ne=new t.N(Ne.lng,Ne.lat),R){let Se=new t.N(Ne.lng-360,Ne.lat),Oe=new t.N(Ne.lng+360,Ne.lat),pt=ae.locationPoint(Ne).distSqr(R);ae.locationPoint(Se).distSqr(R)<pt?Ne=Se:ae.locationPoint(Oe).distSqr(R)<pt&&(Ne=Oe)}for(;Math.abs(Ne.lng-ae.center.lng)>180;){let Se=ae.locationPoint(Ne);if(Se.x>=0&&Se.y>=0&&Se.x<=ae.width&&Se.y<=ae.height)break;Ne.lng>ae.center.lng?Ne.lng-=360:Ne.lng+=360}return Ne.lng!==we.lng&&ae.locationPoint(Ne).y>ae.height/2-ae.getHorizon()?Ne:we}let ou={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Iu(Ne,R,ae){let we=Ne.classList;for(let Se in ou)we.remove(`maplibregl-${ae}-anchor-${Se}`);we.add(`maplibregl-${ae}-anchor-${R}`)}class Zu extends t.E{constructor(R){if(super(),this._onKeyPress=ae=>{let we=ae.code,Se=ae.charCode||ae.keyCode;we!==\"Space\"&&we!==\"Enter\"&&Se!==32&&Se!==13||this.togglePopup()},this._onMapClick=ae=>{let we=ae.originalEvent.target,Se=this._element;this._popup&&(we===Se||Se.contains(we))&&this.togglePopup()},this._update=ae=>{var we;if(!this._map)return;let Se=this._map.loaded()&&!this._map.isMoving();(ae?.type===\"terrain\"||ae?.type===\"render\"&&!Se)&&this._map.once(\"render\",this._update),this._lngLat=this._map.transform.renderWorldCopies?Ls(this._lngLat,this._flatPos,this._map.transform):(we=this._lngLat)===null||we===void 0?void 0:we.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let Oe=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?Oe=`rotateZ(${this._rotation}deg)`:this._rotationAlignment===\"map\"&&(Oe=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let pt=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?pt=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(pt=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||ae&&ae.type!==\"moveend\"||(this._pos=this._pos.round()),n.setTransform(this._element,`${ou[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${pt} ${Oe}`),i.frameAsync(new AbortController).then(()=>{this._updateOpacity(ae&&ae.type===\"moveend\")}).catch(()=>{})},this._onMove=ae=>{if(!this._isDragging){let we=this._clickTolerance||this._map._clickTolerance;this._isDragging=ae.point.dist(this._pointerdownPos)>=we}this._isDragging&&(this._pos=ae.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new t.k(\"dragstart\"))),this.fire(new t.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new t.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=ae=>{this._element.contains(ae.originalEvent.target)&&(ae.preventDefault(),this._positionDelta=ae.point.sub(this._pos).add(this._offset),this._pointerdownPos=ae.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},this._anchor=R&&R.anchor||\"center\",this._color=R&&R.color||\"#3FB1CE\",this._scale=R&&R.scale||1,this._draggable=R&&R.draggable||!1,this._clickTolerance=R&&R.clickTolerance||0,this._subpixelPositioning=R&&R.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=R&&R.rotation||0,this._rotationAlignment=R&&R.rotationAlignment||\"auto\",this._pitchAlignment=R&&R.pitchAlignment&&R.pitchAlignment!==\"auto\"?R.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(R?.opacity,R?.opacityWhenCovered),R&&R.element)this._element=R.element,this._offset=t.P.convert(R&&R.offset||[0,0]);else{this._defaultMarker=!0,this._element=n.create(\"div\");let ae=n.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),we=41,Se=27;ae.setAttributeNS(null,\"display\",\"block\"),ae.setAttributeNS(null,\"height\",`${we}px`),ae.setAttributeNS(null,\"width\",`${Se}px`),ae.setAttributeNS(null,\"viewBox\",`0 0 ${Se} ${we}`);let Oe=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");Oe.setAttributeNS(null,\"stroke\",\"none\"),Oe.setAttributeNS(null,\"stroke-width\",\"1\"),Oe.setAttributeNS(null,\"fill\",\"none\"),Oe.setAttributeNS(null,\"fill-rule\",\"evenodd\");let pt=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");pt.setAttributeNS(null,\"fill-rule\",\"nonzero\");let At=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");At.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),At.setAttributeNS(null,\"fill\",\"#000000\");let Bt=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(let dt of Bt){let Ct=n.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");Ct.setAttributeNS(null,\"opacity\",\"0.04\"),Ct.setAttributeNS(null,\"cx\",\"10.5\"),Ct.setAttributeNS(null,\"cy\",\"5.80029008\"),Ct.setAttributeNS(null,\"rx\",dt.rx),Ct.setAttributeNS(null,\"ry\",dt.ry),At.appendChild(Ct)}let $t=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");$t.setAttributeNS(null,\"fill\",this._color);let br=n.createNS(\"http://www.w3.org/2000/svg\",\"path\");br.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),$t.appendChild(br);let Ar=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ar.setAttributeNS(null,\"opacity\",\"0.25\"),Ar.setAttributeNS(null,\"fill\",\"#000000\");let Yr=n.createNS(\"http://www.w3.org/2000/svg\",\"path\");Yr.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),Ar.appendChild(Yr);let sa=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");sa.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),sa.setAttributeNS(null,\"fill\",\"#FFFFFF\");let He=n.createNS(\"http://www.w3.org/2000/svg\",\"g\");He.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");let Je=n.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Je.setAttributeNS(null,\"fill\",\"#000000\"),Je.setAttributeNS(null,\"opacity\",\"0.25\"),Je.setAttributeNS(null,\"cx\",\"5.5\"),Je.setAttributeNS(null,\"cy\",\"5.5\"),Je.setAttributeNS(null,\"r\",\"5.4999962\");let ut=n.createNS(\"http://www.w3.org/2000/svg\",\"circle\");ut.setAttributeNS(null,\"fill\",\"#FFFFFF\"),ut.setAttributeNS(null,\"cx\",\"5.5\"),ut.setAttributeNS(null,\"cy\",\"5.5\"),ut.setAttributeNS(null,\"r\",\"5.4999962\"),He.appendChild(Je),He.appendChild(ut),pt.appendChild(At),pt.appendChild($t),pt.appendChild(Ar),pt.appendChild(sa),pt.appendChild(He),ae.appendChild(pt),ae.setAttributeNS(null,\"height\",we*this._scale+\"px\"),ae.setAttributeNS(null,\"width\",Se*this._scale+\"px\"),this._element.appendChild(ae),this._offset=t.P.convert(R&&R.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",ae=>{ae.preventDefault()}),this._element.addEventListener(\"mousedown\",ae=>{ae.preventDefault()}),Iu(this._element,this._anchor,\"marker\"),R&&R.className)for(let ae of R.className.split(\" \"))this._element.classList.add(ae);this._popup=null}addTo(R){return this.remove(),this._map=R,this._element.setAttribute(\"aria-label\",R._getUIString(\"Marker.Title\")),R.getCanvasContainer().appendChild(this._element),R.on(\"move\",this._update),R.on(\"moveend\",this._update),R.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),n.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(R){return this._lngLat=t.N.convert(R),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(R){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),R){if(!(\"offset\"in R.options)){let Se=Math.abs(13.5)/Math.SQRT2;R.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[Se,-1*(38.1-13.5+Se)],\"bottom-right\":[-Se,-1*(38.1-13.5+Se)],left:[13.5,-1*(38.1-13.5)],right:[-13.5,-1*(38.1-13.5)]}:this._offset}this._popup=R,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(R){return this._subpixelPositioning=R,this}getPopup(){return this._popup}togglePopup(){let R=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:R?(R.isOpen()?R.remove():(R.setLngLat(this._lngLat),R.addTo(this._map)),this):this}_updateOpacity(R=!1){var ae,we;if(!(!((ae=this._map)===null||ae===void 0)&&ae.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(R)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout(()=>{this._opacityTimeout=null},100)}let Se=this._map,Oe=Se.terrain.depthAtPoint(this._pos),pt=Se.terrain.getElevationForLngLatZoom(this._lngLat,Se.transform.tileZoom);if(Se.transform.lngLatToCameraDepth(this._lngLat,pt)-Oe<.006)return void(this._element.style.opacity=this._opacity);let At=-this._offset.y/Se.transform._pixelPerMeter,Bt=Math.sin(Se.getPitch()*Math.PI/180)*At,$t=Se.terrain.depthAtPoint(new t.P(this._pos.x,this._pos.y-this._offset.y)),br=Se.transform.lngLatToCameraDepth(this._lngLat,pt+Bt)-$t>.006;!((we=this._popup)===null||we===void 0)&&we.isOpen()&&br&&this._popup.remove(),this._element.style.opacity=br?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(R){return this._offset=t.P.convert(R),this._update(),this}addClassName(R){this._element.classList.add(R)}removeClassName(R){this._element.classList.remove(R)}toggleClassName(R){return this._element.classList.toggle(R)}setDraggable(R){return this._draggable=!!R,this._map&&(R?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this}isDraggable(){return this._draggable}setRotation(R){return this._rotation=R||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(R){return this._rotationAlignment=R||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(R){return this._pitchAlignment=R&&R!==\"auto\"?R:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(R,ae){return R===void 0&&ae===void 0&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),R!==void 0&&(this._opacity=R),ae!==void 0&&(this._opacityWhenCovered=ae),this._map&&this._updateOpacity(!0),this}}let Lc={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},yu=0,Pc=!1,wu={maxWidth:100,unit:\"metric\"};function gc(Ne,R,ae){let we=ae&&ae.maxWidth||100,Se=Ne._container.clientHeight/2,Oe=Ne.unproject([0,Se]),pt=Ne.unproject([we,Se]),At=Oe.distanceTo(pt);if(ae&&ae.unit===\"imperial\"){let Bt=3.2808*At;Bt>5280?fo(R,we,Bt/5280,Ne._getUIString(\"ScaleControl.Miles\")):fo(R,we,Bt,Ne._getUIString(\"ScaleControl.Feet\"))}else ae&&ae.unit===\"nautical\"?fo(R,we,At/1852,Ne._getUIString(\"ScaleControl.NauticalMiles\")):At>=1e3?fo(R,we,At/1e3,Ne._getUIString(\"ScaleControl.Kilometers\")):fo(R,we,At,Ne._getUIString(\"ScaleControl.Meters\"))}function fo(Ne,R,ae,we){let Se=function(Oe){let pt=Math.pow(10,`${Math.floor(Oe)}`.length-1),At=Oe/pt;return At=At>=10?10:At>=5?5:At>=3?3:At>=2?2:At>=1?1:function(Bt){let $t=Math.pow(10,Math.ceil(-Math.log(Bt)/Math.LN10));return Math.round(Bt*$t)/$t}(At),pt*At}(ae);Ne.style.width=R*(Se/ae)+\"px\",Ne.innerHTML=`${Se}&nbsp;${we}`}let zo={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},Ic=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");function lc(Ne){if(Ne){if(typeof Ne==\"number\"){let R=Math.round(Math.abs(Ne)/Math.SQRT2);return{center:new t.P(0,0),top:new t.P(0,Ne),\"top-left\":new t.P(R,R),\"top-right\":new t.P(-R,R),bottom:new t.P(0,-Ne),\"bottom-left\":new t.P(R,-R),\"bottom-right\":new t.P(-R,-R),left:new t.P(Ne,0),right:new t.P(-Ne,0)}}if(Ne instanceof t.P||Array.isArray(Ne)){let R=t.P.convert(Ne);return{center:R,top:R,\"top-left\":R,\"top-right\":R,bottom:R,\"bottom-left\":R,\"bottom-right\":R,left:R,right:R}}return{center:t.P.convert(Ne.center||[0,0]),top:t.P.convert(Ne.top||[0,0]),\"top-left\":t.P.convert(Ne[\"top-left\"]||[0,0]),\"top-right\":t.P.convert(Ne[\"top-right\"]||[0,0]),bottom:t.P.convert(Ne.bottom||[0,0]),\"bottom-left\":t.P.convert(Ne[\"bottom-left\"]||[0,0]),\"bottom-right\":t.P.convert(Ne[\"bottom-right\"]||[0,0]),left:t.P.convert(Ne.left||[0,0]),right:t.P.convert(Ne.right||[0,0])}}return lc(new t.P(0,0))}let Yu=r;e.AJAXError=t.bh,e.Evented=t.E,e.LngLat=t.N,e.MercatorCoordinate=t.Z,e.Point=t.P,e.addProtocol=t.bi,e.config=t.a,e.removeProtocol=t.bj,e.AttributionControl=co,e.BoxZoomHandler=Pu,e.CanvasSource=tt,e.CooperativeGesturesHandler=Fi,e.DoubleClickZoomHandler=hi,e.DragPanHandler=tn,e.DragRotateHandler=dn,e.EdgeInsets=vu,e.FullscreenControl=class extends t.E{constructor(Ne={}){super(),this._onFullscreenChange=()=>{var R;let ae=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;!((R=ae?.shadowRoot)===null||R===void 0)&&R.fullscreenElement;)ae=ae.shadowRoot.fullscreenElement;ae===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,Ne&&Ne.container&&(Ne.container instanceof HTMLElement?this._container=Ne.container:t.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(Ne){return this._map=Ne,this._container||(this._container=this._map.getContainer()),this._controlContainer=n.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){n.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){let Ne=this._fullscreenButton=n.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);n.create(\"span\",\"maplibregl-ctrl-icon\",Ne).setAttribute(\"aria-hidden\",\"true\"),Ne.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){let Ne=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",Ne),this._fullscreenButton.title=Ne}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new t.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new t.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}},e.GeoJSONSource=Re,e.GeolocateControl=class extends t.E{constructor(Ne){super(),this._onSuccess=R=>{if(this._map){if(this._isOutOfMapMaxBounds(R))return this._setErrorState(),this.fire(new t.k(\"outofmaxbounds\",R)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=R,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(R),this.options.trackUserLocation&&this._watchState!==\"ACTIVE_LOCK\"||this._updateCamera(R),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new t.k(\"geolocate\",R)),this._finish()}},this._updateCamera=R=>{let ae=new t.N(R.coords.longitude,R.coords.latitude),we=R.coords.accuracy,Se=this._map.getBearing(),Oe=t.e({bearing:Se},this.options.fitBoundsOptions),pt=re.fromLngLat(ae,we);this._map.fitBounds(pt,Oe,{geolocateSource:!0})},this._updateMarker=R=>{if(R){let ae=new t.N(R.coords.longitude,R.coords.latitude);this._accuracyCircleMarker.setLngLat(ae).addTo(this._map),this._userLocationDotMarker.setLngLat(ae).addTo(this._map),this._accuracy=R.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=R=>{if(this._map){if(this.options.trackUserLocation)if(R.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;let ae=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=ae,this._geolocateButton.setAttribute(\"aria-label\",ae),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(R.code===3&&Pc)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new t.k(\"error\",R)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",R=>R.preventDefault()),this._geolocateButton=n.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),n.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=R=>{if(this._map){if(R===!1){t.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");let ae=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=ae,this._geolocateButton.setAttribute(\"aria-label\",ae)}else{let ae=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=ae,this._geolocateButton.setAttribute(\"aria-label\",ae)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=n.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Zu({element:this._dotElement}),this._circleElement=n.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Zu({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",()=>this.trigger()),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",ae=>{ae.geolocateSource||this._watchState!==\"ACTIVE_LOCK\"||ae.originalEvent&&ae.originalEvent.type===\"resize\"||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new t.k(\"trackuserlocationend\")),this.fire(new t.k(\"userlocationlostfocus\")))})}},this.options=t.e({},Lc,Ne)}onAdd(Ne){return this._map=Ne,this._container=n.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return t._(this,arguments,void 0,function*(R=!1){if(Xs!==void 0&&!R)return Xs;if(window.navigator.permissions===void 0)return Xs=!!window.navigator.geolocation,Xs;try{Xs=(yield window.navigator.permissions.query({name:\"geolocation\"})).state!==\"denied\"}catch{Xs=!!window.navigator.geolocation}return Xs})}().then(R=>this._finishSetupUI(R)),this._container}onRemove(){this._geolocationWatchID!==void 0&&(window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),n.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,yu=0,Pc=!1}_isOutOfMapMaxBounds(Ne){let R=this._map.getMaxBounds(),ae=Ne.coords;return R&&(ae.longitude<R.getWest()||ae.longitude>R.getEast()||ae.latitude<R.getSouth()||ae.latitude>R.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){let Ne=this._map.getBounds(),R=Ne.getSouthEast(),ae=Ne.getNorthEast(),we=R.distanceTo(ae),Se=Math.ceil(this._accuracy/(we/this._map._container.clientHeight)*2);this._circleElement.style.width=`${Se}px`,this._circleElement.style.height=`${Se}px`}trigger(){if(!this._setup)return t.w(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":yu--,Pc=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new t.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.k(\"trackuserlocationstart\")),this.fire(new t.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){let Ne;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),yu++,yu>1?(Ne={maximumAge:6e5,timeout:0},Pc=!0):(Ne=this.options.positionOptions,Pc=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,Ne)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}},e.Hash=Jf,e.ImageSource=it,e.KeyboardHandler=yr,e.LngLatBounds=re,e.LogoControl=wn,e.Map=class extends ao{constructor(Ne){t.bf.mark(t.bg.create);let R=Object.assign(Object.assign({},yl),Ne);if(R.minZoom!=null&&R.maxZoom!=null&&R.minZoom>R.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(R.minPitch!=null&&R.maxPitch!=null&&R.minPitch>R.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(R.minPitch!=null&&R.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(R.maxPitch!=null&&R.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new Ml(R.minZoom,R.maxZoom,R.minPitch,R.maxPitch,R.renderWorldCopies),{bearingSnap:R.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new un,this._controls=[],this._mapId=t.a4(),this._contextLost=ae=>{ae.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new t.k(\"webglcontextlost\",{originalEvent:ae}))},this._contextRestored=ae=>{this._setupPainter(),this.resize(),this._update(),this.fire(new t.k(\"webglcontextrestored\",{originalEvent:ae}))},this._onMapScroll=ae=>{if(ae.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=R.interactive,this._maxTileCacheSize=R.maxTileCacheSize,this._maxTileCacheZoomLevels=R.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=R.failIfMajorPerformanceCaveat===!0,this._preserveDrawingBuffer=R.preserveDrawingBuffer===!0,this._antialias=R.antialias===!0,this._trackResize=R.trackResize===!0,this._bearingSnap=R.bearingSnap,this._refreshExpiredTiles=R.refreshExpiredTiles===!0,this._fadeDuration=R.fadeDuration,this._crossSourceCollisions=R.crossSourceCollisions===!0,this._collectResourceTiming=R.collectResourceTiming===!0,this._locale=Object.assign(Object.assign({},ys),R.locale),this._clickTolerance=R.clickTolerance,this._overridePixelRatio=R.pixelRatio,this._maxCanvasSize=R.maxCanvasSize,this.transformCameraUpdate=R.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=R.cancelPendingTileRequestsWhileZooming===!0,this._imageQueueHandle=l.addThrottleControl(()=>this.isMoving()),this._requestManager=new _(R.transformRequest),typeof R.container==\"string\"){if(this._container=document.getElementById(R.container),!this._container)throw new Error(`Container '${R.container}' not found.`)}else{if(!(R.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=R.container}if(R.maxBounds&&this.setMaxBounds(R.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",()=>this._update(!1)).on(\"moveend\",()=>this._update(!1)).on(\"zoom\",()=>this._update(!0)).on(\"terrain\",()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)}).once(\"idle\",()=>{this._idleTriggered=!0}),typeof window<\"u\"){addEventListener(\"online\",this._onWindowOnline,!1);let ae=!1,we=Uf(Se=>{this._trackResize&&!this._removed&&(this.resize(Se),this.redraw())},50);this._resizeObserver=new ResizeObserver(Se=>{ae?we(Se):ae=!0}),this._resizeObserver.observe(this._container)}this.handlers=new Kn(this,R),this._hash=R.hash&&new Jf(typeof R.hash==\"string\"&&R.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:R.center,zoom:R.zoom,bearing:R.bearing,pitch:R.pitch}),R.bounds&&(this.resize(),this.fitBounds(R.bounds,t.e({},R.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=R.localIdeographFontFamily,this._validateStyle=R.validateStyle,R.style&&this.setStyle(R.style,{localIdeographFontFamily:R.localIdeographFontFamily}),R.attributionControl&&this.addControl(new co(typeof R.attributionControl==\"boolean\"?void 0:R.attributionControl)),R.maplibreLogo&&this.addControl(new wn,R.logoPosition),this.on(\"style.load\",()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)}),this.on(\"data\",ae=>{this._update(ae.dataType===\"style\"),this.fire(new t.k(`${ae.dataType}data`,ae))}),this.on(\"dataloading\",ae=>{this.fire(new t.k(`${ae.dataType}dataloading`,ae))}),this.on(\"dataabort\",ae=>{this.fire(new t.k(\"sourcedataabort\",ae))})}_getMapId(){return this._mapId}addControl(Ne,R){if(R===void 0&&(R=Ne.getDefaultPosition?Ne.getDefaultPosition():\"top-right\"),!Ne||!Ne.onAdd)return this.fire(new t.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));let ae=Ne.onAdd(this);this._controls.push(Ne);let we=this._controlPositions[R];return R.indexOf(\"bottom\")!==-1?we.insertBefore(ae,we.firstChild):we.appendChild(ae),this}removeControl(Ne){if(!Ne||!Ne.onRemove)return this.fire(new t.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));let R=this._controls.indexOf(Ne);return R>-1&&this._controls.splice(R,1),Ne.onRemove(this),this}hasControl(Ne){return this._controls.indexOf(Ne)>-1}calculateCameraOptionsFromTo(Ne,R,ae,we){return we==null&&this.terrain&&(we=this.terrain.getElevationForLngLatZoom(ae,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(Ne,R,ae,we)}resize(Ne){var R;let ae=this._containerDimensions(),we=ae[0],Se=ae[1],Oe=this._getClampedPixelRatio(we,Se);if(this._resizeCanvas(we,Se,Oe),this.painter.resize(we,Se,Oe),this.painter.overLimit()){let At=this.painter.context.gl;this._maxCanvasSize=[At.drawingBufferWidth,At.drawingBufferHeight];let Bt=this._getClampedPixelRatio(we,Se);this._resizeCanvas(we,Se,Bt),this.painter.resize(we,Se,Bt)}this.transform.resize(we,Se),(R=this._requestedCameraState)===null||R===void 0||R.resize(we,Se);let pt=!this._moving;return pt&&(this.stop(),this.fire(new t.k(\"movestart\",Ne)).fire(new t.k(\"move\",Ne))),this.fire(new t.k(\"resize\",Ne)),pt&&this.fire(new t.k(\"moveend\",Ne)),this}_getClampedPixelRatio(Ne,R){let{0:ae,1:we}=this._maxCanvasSize,Se=this.getPixelRatio(),Oe=Ne*Se,pt=R*Se;return Math.min(Oe>ae?ae/Oe:1,pt>we?we/pt:1)*Se}getPixelRatio(){var Ne;return(Ne=this._overridePixelRatio)!==null&&Ne!==void 0?Ne:devicePixelRatio}setPixelRatio(Ne){this._overridePixelRatio=Ne,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(Ne){return this.transform.setMaxBounds(re.convert(Ne)),this._update()}setMinZoom(Ne){if((Ne=Ne??-2)>=-2&&Ne<=this.transform.maxZoom)return this.transform.minZoom=Ne,this._update(),this.getZoom()<Ne&&this.setZoom(Ne),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(Ne){if((Ne=Ne??22)>=this.transform.minZoom)return this.transform.maxZoom=Ne,this._update(),this.getZoom()>Ne&&this.setZoom(Ne),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(Ne){if((Ne=Ne??0)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(Ne>=0&&Ne<=this.transform.maxPitch)return this.transform.minPitch=Ne,this._update(),this.getPitch()<Ne&&this.setPitch(Ne),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(Ne){if((Ne=Ne??60)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(Ne>=this.transform.minPitch)return this.transform.maxPitch=Ne,this._update(),this.getPitch()>Ne&&this.setPitch(Ne),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(Ne){return this.transform.renderWorldCopies=Ne,this._update()}project(Ne){return this.transform.locationPoint(t.N.convert(Ne),this.style&&this.terrain)}unproject(Ne){return this.transform.pointLocation(t.P.convert(Ne),this.terrain)}isMoving(){var Ne;return this._moving||((Ne=this.handlers)===null||Ne===void 0?void 0:Ne.isMoving())}isZooming(){var Ne;return this._zooming||((Ne=this.handlers)===null||Ne===void 0?void 0:Ne.isZooming())}isRotating(){var Ne;return this._rotating||((Ne=this.handlers)===null||Ne===void 0?void 0:Ne.isRotating())}_createDelegatedListener(Ne,R,ae){if(Ne===\"mouseenter\"||Ne===\"mouseover\"){let we=!1;return{layers:R,listener:ae,delegates:{mousemove:Oe=>{let pt=R.filter(Bt=>this.getLayer(Bt)),At=pt.length!==0?this.queryRenderedFeatures(Oe.point,{layers:pt}):[];At.length?we||(we=!0,ae.call(this,new tu(Ne,this,Oe.originalEvent,{features:At}))):we=!1},mouseout:()=>{we=!1}}}}if(Ne===\"mouseleave\"||Ne===\"mouseout\"){let we=!1;return{layers:R,listener:ae,delegates:{mousemove:pt=>{let At=R.filter(Bt=>this.getLayer(Bt));(At.length!==0?this.queryRenderedFeatures(pt.point,{layers:At}):[]).length?we=!0:we&&(we=!1,ae.call(this,new tu(Ne,this,pt.originalEvent)))},mouseout:pt=>{we&&(we=!1,ae.call(this,new tu(Ne,this,pt.originalEvent)))}}}}{let we=Se=>{let Oe=R.filter(At=>this.getLayer(At)),pt=Oe.length!==0?this.queryRenderedFeatures(Se.point,{layers:Oe}):[];pt.length&&(Se.features=pt,ae.call(this,Se),delete Se.features)};return{layers:R,listener:ae,delegates:{[Ne]:we}}}}_saveDelegatedListener(Ne,R){this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[Ne]=this._delegatedListeners[Ne]||[],this._delegatedListeners[Ne].push(R)}_removeDelegatedListener(Ne,R,ae){if(!this._delegatedListeners||!this._delegatedListeners[Ne])return;let we=this._delegatedListeners[Ne];for(let Se=0;Se<we.length;Se++){let Oe=we[Se];if(Oe.listener===ae&&Oe.layers.length===R.length&&Oe.layers.every(pt=>R.includes(pt))){for(let pt in Oe.delegates)this.off(pt,Oe.delegates[pt]);return void we.splice(Se,1)}}}on(Ne,R,ae){if(ae===void 0)return super.on(Ne,R);let we=this._createDelegatedListener(Ne,typeof R==\"string\"?[R]:R,ae);this._saveDelegatedListener(Ne,we);for(let Se in we.delegates)this.on(Se,we.delegates[Se]);return this}once(Ne,R,ae){if(ae===void 0)return super.once(Ne,R);let we=typeof R==\"string\"?[R]:R,Se=this._createDelegatedListener(Ne,we,ae);for(let Oe in Se.delegates){let pt=Se.delegates[Oe];Se.delegates[Oe]=(...At)=>{this._removeDelegatedListener(Ne,we,ae),pt(...At)}}this._saveDelegatedListener(Ne,Se);for(let Oe in Se.delegates)this.once(Oe,Se.delegates[Oe]);return this}off(Ne,R,ae){return ae===void 0?super.off(Ne,R):(this._removeDelegatedListener(Ne,typeof R==\"string\"?[R]:R,ae),this)}queryRenderedFeatures(Ne,R){if(!this.style)return[];let ae,we=Ne instanceof t.P||Array.isArray(Ne),Se=we?Ne:[[0,0],[this.transform.width,this.transform.height]];if(R=R||(we?{}:Ne)||{},Se instanceof t.P||typeof Se[0]==\"number\")ae=[t.P.convert(Se)];else{let Oe=t.P.convert(Se[0]),pt=t.P.convert(Se[1]);ae=[Oe,new t.P(pt.x,Oe.y),pt,new t.P(Oe.x,pt.y),Oe]}return this.style.queryRenderedFeatures(ae,R,this.transform)}querySourceFeatures(Ne,R){return this.style.querySourceFeatures(Ne,R)}setStyle(Ne,R){return(R=t.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},R)).diff!==!1&&R.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&Ne?(this._diffStyle(Ne,R),this):(this._localIdeographFontFamily=R.localIdeographFontFamily,this._updateStyle(Ne,R))}setTransformRequest(Ne){return this._requestManager.setTransformRequest(Ne),this}_getUIString(Ne){let R=this._locale[Ne];if(R==null)throw new Error(`Missing UI string '${Ne}'`);return R}_updateStyle(Ne,R){if(R.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",()=>this._updateStyle(Ne,R));let ae=this.style&&R.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!Ne)),Ne?(this.style=new aa(this,R||{}),this.style.setEventedParent(this,{style:this.style}),typeof Ne==\"string\"?this.style.loadURL(Ne,R,ae):this.style.loadJSON(Ne,R,ae),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new aa(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(Ne,R){if(typeof Ne==\"string\"){let ae=this._requestManager.transformRequest(Ne,\"Style\");t.h(ae,new AbortController).then(we=>{this._updateDiff(we.data,R)}).catch(we=>{we&&this.fire(new t.j(we))})}else typeof Ne==\"object\"&&this._updateDiff(Ne,R)}_updateDiff(Ne,R){try{this.style.setState(Ne,R)&&this._update(!0)}catch(ae){t.w(`Unable to perform style diff: ${ae.message||ae.error||ae}.  Rebuilding the style from scratch.`),this._updateStyle(Ne,R)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():t.w(\"There is no style added to the map.\")}addSource(Ne,R){return this._lazyInitEmptyStyle(),this.style.addSource(Ne,R),this._update(!0)}isSourceLoaded(Ne){let R=this.style&&this.style.sourceCaches[Ne];if(R!==void 0)return R.loaded();this.fire(new t.j(new Error(`There is no source with ID '${Ne}'`)))}setTerrain(Ne){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),Ne){let R=this.style.sourceCaches[Ne.source];if(!R)throw new Error(`cannot load terrain, because there exists no source with ID: ${Ne.source}`);this.terrain===null&&R.reload();for(let ae in this.style._layers){let we=this.style._layers[ae];we.type===\"hillshade\"&&we.source===Ne.source&&t.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new xs(this.painter,R,Ne),this.painter.renderToTexture=new Ks(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=ae=>{ae.dataType===\"style\"?this.terrain.sourceCache.freeRtt():ae.dataType===\"source\"&&ae.tile&&(ae.sourceId!==Ne.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(ae.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new t.k(\"terrain\",{terrain:Ne})),this}getTerrain(){var Ne,R;return(R=(Ne=this.terrain)===null||Ne===void 0?void 0:Ne.options)!==null&&R!==void 0?R:null}areTilesLoaded(){let Ne=this.style&&this.style.sourceCaches;for(let R in Ne){let ae=Ne[R]._tiles;for(let we in ae){let Se=ae[we];if(Se.state!==\"loaded\"&&Se.state!==\"errored\")return!1}}return!0}removeSource(Ne){return this.style.removeSource(Ne),this._update(!0)}getSource(Ne){return this.style.getSource(Ne)}addImage(Ne,R,ae={}){let{pixelRatio:we=1,sdf:Se=!1,stretchX:Oe,stretchY:pt,content:At,textFitWidth:Bt,textFitHeight:$t}=ae;if(this._lazyInitEmptyStyle(),!(R instanceof HTMLImageElement||t.b(R))){if(R.width===void 0||R.height===void 0)return this.fire(new t.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{let{width:br,height:Ar,data:Yr}=R,sa=R;return this.style.addImage(Ne,{data:new t.R({width:br,height:Ar},new Uint8Array(Yr)),pixelRatio:we,stretchX:Oe,stretchY:pt,content:At,textFitWidth:Bt,textFitHeight:$t,sdf:Se,version:0,userImage:sa}),sa.onAdd&&sa.onAdd(this,Ne),this}}{let{width:br,height:Ar,data:Yr}=i.getImageData(R);this.style.addImage(Ne,{data:new t.R({width:br,height:Ar},Yr),pixelRatio:we,stretchX:Oe,stretchY:pt,content:At,textFitWidth:Bt,textFitHeight:$t,sdf:Se,version:0})}}updateImage(Ne,R){let ae=this.style.getImage(Ne);if(!ae)return this.fire(new t.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));let we=R instanceof HTMLImageElement||t.b(R)?i.getImageData(R):R,{width:Se,height:Oe,data:pt}=we;if(Se===void 0||Oe===void 0)return this.fire(new t.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(Se!==ae.data.width||Oe!==ae.data.height)return this.fire(new t.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));let At=!(R instanceof HTMLImageElement||t.b(R));return ae.data.replace(pt,At),this.style.updateImage(Ne,ae),this}getImage(Ne){return this.style.getImage(Ne)}hasImage(Ne){return Ne?!!this.style.getImage(Ne):(this.fire(new t.j(new Error(\"Missing required image id\"))),!1)}removeImage(Ne){this.style.removeImage(Ne)}loadImage(Ne){return l.getImage(this._requestManager.transformRequest(Ne,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(Ne,R){return this._lazyInitEmptyStyle(),this.style.addLayer(Ne,R),this._update(!0)}moveLayer(Ne,R){return this.style.moveLayer(Ne,R),this._update(!0)}removeLayer(Ne){return this.style.removeLayer(Ne),this._update(!0)}getLayer(Ne){return this.style.getLayer(Ne)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(Ne,R,ae){return this.style.setLayerZoomRange(Ne,R,ae),this._update(!0)}setFilter(Ne,R,ae={}){return this.style.setFilter(Ne,R,ae),this._update(!0)}getFilter(Ne){return this.style.getFilter(Ne)}setPaintProperty(Ne,R,ae,we={}){return this.style.setPaintProperty(Ne,R,ae,we),this._update(!0)}getPaintProperty(Ne,R){return this.style.getPaintProperty(Ne,R)}setLayoutProperty(Ne,R,ae,we={}){return this.style.setLayoutProperty(Ne,R,ae,we),this._update(!0)}getLayoutProperty(Ne,R){return this.style.getLayoutProperty(Ne,R)}setGlyphs(Ne,R={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(Ne,R),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(Ne,R,ae={}){return this._lazyInitEmptyStyle(),this.style.addSprite(Ne,R,ae,we=>{we||this._update(!0)}),this}removeSprite(Ne){return this._lazyInitEmptyStyle(),this.style.removeSprite(Ne),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(Ne,R={}){return this._lazyInitEmptyStyle(),this.style.setSprite(Ne,R,ae=>{ae||this._update(!0)}),this}setLight(Ne,R={}){return this._lazyInitEmptyStyle(),this.style.setLight(Ne,R),this._update(!0)}getLight(){return this.style.getLight()}setSky(Ne){return this._lazyInitEmptyStyle(),this.style.setSky(Ne),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(Ne,R){return this.style.setFeatureState(Ne,R),this._update()}removeFeatureState(Ne,R){return this.style.removeFeatureState(Ne,R),this._update()}getFeatureState(Ne){return this.style.getFeatureState(Ne)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let Ne=0,R=0;return this._container&&(Ne=this._container.clientWidth||400,R=this._container.clientHeight||300),[Ne,R]}_setupContainer(){let Ne=this._container;Ne.classList.add(\"maplibregl-map\");let R=this._canvasContainer=n.create(\"div\",\"maplibregl-canvas-container\",Ne);this._interactive&&R.classList.add(\"maplibregl-interactive\"),this._canvas=n.create(\"canvas\",\"maplibregl-canvas\",R),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");let ae=this._containerDimensions(),we=this._getClampedPixelRatio(ae[0],ae[1]);this._resizeCanvas(ae[0],ae[1],we);let Se=this._controlContainer=n.create(\"div\",\"maplibregl-control-container\",Ne),Oe=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(pt=>{Oe[pt]=n.create(\"div\",`maplibregl-ctrl-${pt} `,Se)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(Ne,R,ae){this._canvas.width=Math.floor(ae*Ne),this._canvas.height=Math.floor(ae*R),this._canvas.style.width=`${Ne}px`,this._canvas.style.height=`${R}px`}_setupPainter(){let Ne={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1},R=null;this._canvas.addEventListener(\"webglcontextcreationerror\",we=>{R={requestedAttributes:Ne},we&&(R.statusMessage=we.statusMessage,R.type=we.type)},{once:!0});let ae=this._canvas.getContext(\"webgl2\",Ne)||this._canvas.getContext(\"webgl\",Ne);if(!ae){let we=\"Failed to initialize WebGL\";throw R?(R.message=we,new Error(JSON.stringify(R))):new Error(we)}this.painter=new Ac(ae,this.transform),s.testSupport(ae)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(Ne){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||Ne,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(Ne){return this._update(),this._renderTaskQueue.add(Ne)}_cancelRenderFrame(Ne){this._renderTaskQueue.remove(Ne)}_render(Ne){let R=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(Ne),this._removed)return;let ae=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;let Se=this.transform.zoom,Oe=i.now();this.style.zoomHistory.update(Se,Oe);let pt=new t.z(Se,{now:Oe,fadeDuration:R,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),At=pt.crossFadingFactor();At===1&&At===this._crossFadingFactor||(ae=!0,this._crossFadingFactor=At),this.style.update(pt)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,R,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:R,showPadding:this.showPadding}),this.fire(new t.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,t.bf.mark(t.bg.load),this.fire(new t.k(\"load\"))),this.style&&(this.style.hasTransitions()||ae)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();let we=this._sourcesDirty||this._styleDirty||this._placementDirty;return we||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.k(\"idle\")),!this._loaded||this._fullyLoaded||we||(this._fullyLoaded=!0,t.bf.mark(t.bg.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var Ne;this._hash&&this._hash.remove();for(let ae of this._controls)ae.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof window<\"u\"&&removeEventListener(\"online\",this._onWindowOnline,!1),l.removeThrottleControl(this._imageQueueHandle),(Ne=this._resizeObserver)===null||Ne===void 0||Ne.disconnect();let R=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");R?.loseContext&&R.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),n.remove(this._canvasContainer),n.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),t.bf.clearMetrics(),this._removed=!0,this.fire(new t.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,i.frameAsync(this._frameRequest).then(Ne=>{t.bf.frame(Ne),this._frameRequest=null,this._render(Ne)}).catch(()=>{}))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(Ne){this._showTileBoundaries!==Ne&&(this._showTileBoundaries=Ne,this._update())}get showPadding(){return!!this._showPadding}set showPadding(Ne){this._showPadding!==Ne&&(this._showPadding=Ne,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(Ne){this._showCollisionBoxes!==Ne&&(this._showCollisionBoxes=Ne,Ne?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(Ne){this._showOverdrawInspector!==Ne&&(this._showOverdrawInspector=Ne,this._update())}get repaint(){return!!this._repaint}set repaint(Ne){this._repaint!==Ne&&(this._repaint=Ne,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(Ne){this._vertices=Ne,this._update()}get version(){return Fl}getCameraTargetElevation(){return this.transform.elevation}},e.MapMouseEvent=tu,e.MapTouchEvent=Xc,e.MapWheelEvent=uh,e.Marker=Zu,e.NavigationControl=class{constructor(Ne){this._updateZoomButtons=()=>{let R=this._map.getZoom(),ae=R===this._map.getMaxZoom(),we=R===this._map.getMinZoom();this._zoomInButton.disabled=ae,this._zoomOutButton.disabled=we,this._zoomInButton.setAttribute(\"aria-disabled\",ae.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",we.toString())},this._rotateCompassArrow=()=>{let R=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=R},this._setButtonTitle=(R,ae)=>{let we=this._map._getUIString(`NavigationControl.${ae}`);R.title=we,R.setAttribute(\"aria-label\",we)},this.options=t.e({},Un,Ne),this._container=n.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",R=>R.preventDefault()),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",R=>this._map.zoomIn({},{originalEvent:R})),n.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",R=>this._map.zoomOut({},{originalEvent:R})),n.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",R=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:R}):this._map.resetNorth({},{originalEvent:R})}),this._compassIcon=n.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(Ne){return this._map=Ne,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Io(this._map,this._compass,this.options.visualizePitch)),this._container}onRemove(){n.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map}_createButton(Ne,R){let ae=n.create(\"button\",Ne,this._container);return ae.type=\"button\",ae.addEventListener(\"click\",R),ae}},e.Popup=class extends t.E{constructor(Ne){super(),this.remove=()=>(this._content&&n.remove(this._content),this._container&&(n.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new t.k(\"close\"))),this),this._onMouseUp=R=>{this._update(R.point)},this._onMouseMove=R=>{this._update(R.point)},this._onDrag=R=>{this._update(R.point)},this._update=R=>{var ae;if(!this._map||!this._lngLat&&!this._trackPointer||!this._content)return;if(!this._container){if(this._container=n.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=n.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(let At of this.options.className.split(\" \"))this._container.classList.add(At);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._lngLat=this._map.transform.renderWorldCopies&&!this._trackPointer?Ls(this._lngLat,this._flatPos,this._map.transform):(ae=this._lngLat)===null||ae===void 0?void 0:ae.wrap(),this._trackPointer&&!R)return;let we=this._flatPos=this._pos=this._trackPointer&&R?R:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&R?R:this._map.transform.locationPoint(this._lngLat));let Se=this.options.anchor,Oe=lc(this.options.offset);if(!Se){let At=this._container.offsetWidth,Bt=this._container.offsetHeight,$t;$t=we.y+Oe.bottom.y<Bt?[\"top\"]:we.y>this._map.transform.height-Bt?[\"bottom\"]:[],we.x<At/2?$t.push(\"left\"):we.x>this._map.transform.width-At/2&&$t.push(\"right\"),Se=$t.length===0?\"bottom\":$t.join(\"-\")}let pt=we.add(Oe[Se]);this.options.subpixelPositioning||(pt=pt.round()),n.setTransform(this._container,`${ou[Se]} translate(${pt.x}px,${pt.y}px)`),Iu(this._container,Se,\"popup\")},this._onClose=()=>{this.remove()},this.options=t.e(Object.create(zo),Ne)}addTo(Ne){return this._map&&this.remove(),this._map=Ne,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(Ne){return this._lngLat=t.N.convert(Ne),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(Ne){return this.setDOMContent(document.createTextNode(Ne))}setHTML(Ne){let R=document.createDocumentFragment(),ae=document.createElement(\"body\"),we;for(ae.innerHTML=Ne;we=ae.firstChild,we;)R.appendChild(we);return this.setDOMContent(R)}getMaxWidth(){var Ne;return(Ne=this._container)===null||Ne===void 0?void 0:Ne.style.maxWidth}setMaxWidth(Ne){return this.options.maxWidth=Ne,this._update(),this}setDOMContent(Ne){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=n.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(Ne),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(Ne){return this._container&&this._container.classList.add(Ne),this}removeClassName(Ne){return this._container&&this._container.classList.remove(Ne),this}setOffset(Ne){return this.options.offset=Ne,this._update(),this}toggleClassName(Ne){if(this._container)return this._container.classList.toggle(Ne)}setSubpixelPositioning(Ne){this.options.subpixelPositioning=Ne}_createCloseButton(){this.options.closeButton&&(this._closeButton=n.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;let Ne=this._container.querySelector(Ic);Ne&&Ne.focus()}},e.RasterDEMTileSource=ze,e.RasterTileSource=Ae,e.ScaleControl=class{constructor(Ne){this._onMove=()=>{gc(this._map,this._container,this.options)},this.setUnit=R=>{this.options.unit=R,gc(this._map,this._container,this.options)},this.options=Object.assign(Object.assign({},wu),Ne)}getDefaultPosition(){return\"bottom-left\"}onAdd(Ne){return this._map=Ne,this._container=n.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",Ne.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){n.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0}},e.ScrollZoomHandler=La,e.Style=aa,e.TerrainControl=class{constructor(Ne){this._toggleTerrain=()=>{this._map.getTerrain()?this._map.setTerrain(null):this._map.setTerrain(this.options),this._updateTerrainIcon()},this._updateTerrainIcon=()=>{this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain\"),this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain-enabled\"),this._map.terrain?(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain-enabled\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Disable\")):(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Enable\"))},this.options=Ne}onAdd(Ne){return this._map=Ne,this._container=n.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._terrainButton=n.create(\"button\",\"maplibregl-ctrl-terrain\",this._container),n.create(\"span\",\"maplibregl-ctrl-icon\",this._terrainButton).setAttribute(\"aria-hidden\",\"true\"),this._terrainButton.type=\"button\",this._terrainButton.addEventListener(\"click\",this._toggleTerrain),this._updateTerrainIcon(),this._map.on(\"terrain\",this._updateTerrainIcon),this._container}onRemove(){n.remove(this._container),this._map.off(\"terrain\",this._updateTerrainIcon),this._map=void 0}},e.TwoFingersTouchPitchHandler=kc,e.TwoFingersTouchRotateHandler=Yc,e.TwoFingersTouchZoomHandler=gu,e.TwoFingersTouchZoomRotateHandler=Ri,e.VectorTileSource=be,e.VideoSource=ot,e.addSourceType=(Ne,R)=>t._(void 0,void 0,void 0,function*(){if(Ee(Ne))throw new Error(`A source type called \"${Ne}\" already exists.`);((ae,we)=>{lt[ae]=we})(Ne,R)}),e.clearPrewarmedResources=function(){let Ne=he;Ne&&(Ne.isPreloaded()&&Ne.numActive()===1?(Ne.release(Q),he=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},e.getMaxParallelImageRequests=function(){return t.a.MAX_PARALLEL_IMAGE_REQUESTS},e.getRTLTextPluginStatus=function(){return rt().getRTLTextPluginStatus()},e.getVersion=function(){return Yu},e.getWorkerCount=function(){return ue.workerCount},e.getWorkerUrl=function(){return t.a.WORKER_URL},e.importScriptInWorkers=function(Ne){return X().broadcast(\"IS\",Ne)},e.prewarm=function(){$().acquire(Q)},e.setMaxParallelImageRequests=function(Ne){t.a.MAX_PARALLEL_IMAGE_REQUESTS=Ne},e.setRTLTextPlugin=function(Ne,R){return rt().setRTLTextPlugin(Ne,R)},e.setWorkerCount=function(Ne){ue.workerCount=Ne},e.setWorkerUrl=function(Ne){t.a.WORKER_URL=Ne}});var M=d;return M})}}),jV=Ze({\"src/plots/map/layers.js\"(Z,q){\"use strict\";var d=ca(),x=fu().sanitizeHTML,A=R6(),M=_0();function e(i,n){this.subplot=i,this.uid=i.uid+\"-\"+n,this.index=n,this.idSource=\"source-\"+this.uid,this.idLayer=M.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var t=e.prototype;t.update=function(n){this.visible?this.needsNewImage(n)?this.updateImage(n):this.needsNewSource(n)?(this.removeLayer(),this.updateSource(n),this.updateLayer(n)):this.needsNewLayer(n)?this.updateLayer(n):this.updateStyle(n):(this.updateSource(n),this.updateLayer(n)),this.visible=r(n)},t.needsNewImage=function(i){var n=this.subplot.map;return n.getSource(this.idSource)&&this.sourceType===\"image\"&&i.sourcetype===\"image\"&&(this.source!==i.source||JSON.stringify(this.coordinates)!==JSON.stringify(i.coordinates))},t.needsNewSource=function(i){return this.sourceType!==i.sourcetype||JSON.stringify(this.source)!==JSON.stringify(i.source)||this.layerType!==i.type},t.needsNewLayer=function(i){return this.layerType!==i.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},t.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},t.updateImage=function(i){var n=this.subplot.map;n.getSource(this.idSource).updateImage({url:i.source,coordinates:i.coordinates});var s=this.findFollowingMapLayerId(this.lookupBelow());s!==null&&this.subplot.map.moveLayer(this.idLayer,s)},t.updateSource=function(i){var n=this.subplot.map;if(n.getSource(this.idSource)&&n.removeSource(this.idSource),this.sourceType=i.sourcetype,this.source=i.source,!!r(i)){var s=a(i);n.addSource(this.idSource,s)}},t.findFollowingMapLayerId=function(i){if(i===\"traces\")for(var n=this.subplot.getMapLayers(),s=0;s<n.length;s++){var c=n[s].id;if(typeof c==\"string\"&&c.indexOf(M.traceLayerPrefix)===0){i=c;break}}return i},t.updateLayer=function(i){var n=this.subplot,s=o(i),c=this.lookupBelow(),f=this.findFollowingMapLayerId(c);this.removeLayer(),r(i)&&n.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":i.sourcelayer||\"\",type:i.type,minzoom:i.minzoom,maxzoom:i.maxzoom,layout:s.layout,paint:s.paint},f),this.layerType=i.type,this.below=c},t.updateStyle=function(i){if(r(i)){var n=o(i);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",n.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",n.paint)}},t.removeLayer=function(){var i=this.subplot.map;i.getLayer(this.idLayer)&&i.removeLayer(this.idLayer)},t.dispose=function(){var i=this.subplot.map;i.getLayer(this.idLayer)&&i.removeLayer(this.idLayer),i.getSource(this.idSource)&&i.removeSource(this.idSource)};function r(i){if(!i.visible)return!1;var n=i.source;if(Array.isArray(n)&&n.length>0){for(var s=0;s<n.length;s++)if(typeof n[s]!=\"string\"||n[s].length===0)return!1;return!0}return d.isPlainObject(n)||typeof n==\"string\"&&n.length>0}function o(i){var n={},s={};switch(i.type){case\"circle\":d.extendFlat(s,{\"circle-radius\":i.circle.radius,\"circle-color\":i.color,\"circle-opacity\":i.opacity});break;case\"line\":d.extendFlat(s,{\"line-width\":i.line.width,\"line-color\":i.color,\"line-opacity\":i.opacity,\"line-dasharray\":i.line.dash});break;case\"fill\":d.extendFlat(s,{\"fill-color\":i.color,\"fill-outline-color\":i.fill.outlinecolor,\"fill-opacity\":i.opacity});break;case\"symbol\":var c=i.symbol,f=A(c.textposition,c.iconsize);d.extendFlat(n,{\"icon-image\":c.icon+\"-15\",\"icon-size\":c.iconsize/10,\"text-field\":c.text,\"text-size\":c.textfont.size,\"text-anchor\":f.anchor,\"text-offset\":f.offset,\"symbol-placement\":c.placement}),d.extendFlat(s,{\"icon-color\":i.color,\"text-color\":c.textfont.color,\"text-opacity\":i.opacity});break;case\"raster\":d.extendFlat(s,{\"raster-fade-duration\":0,\"raster-opacity\":i.opacity});break}return{layout:n,paint:s}}function a(i){var n=i.sourcetype,s=i.source,c={type:n},f;return n===\"geojson\"?f=\"data\":n===\"vector\"?f=typeof s==\"string\"?\"url\":\"tiles\":n===\"raster\"?(f=\"tiles\",c.tileSize=256):n===\"image\"&&(f=\"url\",c.coordinates=i.coordinates),c[f]=s,i.sourceattribution&&(c.attribution=x(i.sourceattribution)),c}q.exports=function(n,s,c){var f=new e(n,s);return f.update(c),f}}}),qV=Ze({\"src/plots/map/map.js\"(Z,q){\"use strict\";var d=UV(),x=ca(),A=v0(),M=oo(),e=Wo(),t=Tp(),r=ef(),o=Jd(),a=o.drawMode,i=o.selectMode,n=Tf().prepSelect,s=Tf().clearOutline,c=Tf().clearSelectionsCache,f=Tf().selectOnClick,g=_0(),v=jV();function T(y,b){this.id=b,this.gd=y;var p=y._fullLayout,u=y._context;this.container=p._glcontainer.node(),this.isStatic=u.staticPlot,this.uid=p._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(p),this.map=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var l=T.prototype;l.plot=function(y,b,p){var u=this,m;u.map?m=new Promise(function(h,P){u.updateMap(y,b,h,P)}):m=new Promise(function(h,P){u.createMap(y,b,h,P)}),p.push(m)},l.createMap=function(y,b,p,u){var m=this,h=b[m.id],P=m.styleObj=w(h.style),L=h.bounds,z=L?[[L.west,L.south],[L.east,L.north]]:null,F=m.map=new d.Map({container:m.div,style:P.style,center:E(h.center),zoom:h.zoom,bearing:h.bearing,pitch:h.pitch,maxBounds:z,interactive:!m.isStatic,preserveDrawingBuffer:m.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new d.AttributionControl({compact:!0})),B={};F.on(\"styleimagemissing\",function(I){var N=I.id;if(!B[N]&&N.includes(\"-15\")){B[N]=!0;var U=new Image(15,15);U.onload=function(){F.addImage(N,U)},U.crossOrigin=\"Anonymous\",U.src=\"https://unpkg.com/maki@2.1.0/icons/\"+N+\".svg\"}}),F.setTransformRequest(function(I){return I=I.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),I=I.replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),I=I.replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\"),{url:I}}),F._canvas.style.left=\"0px\",F._canvas.style.top=\"0px\",m.rejectOnError(u),m.isStatic||m.initFx(y,b);var O=[];O.push(new Promise(function(I){F.once(\"load\",I)})),O=O.concat(A.fetchTraceGeoData(y)),Promise.all(O).then(function(){m.fillBelowLookup(y,b),m.updateData(y),m.updateLayout(b),m.resolveOnRender(p)}).catch(u)},l.updateMap=function(y,b,p,u){var m=this,h=m.map,P=b[this.id];m.rejectOnError(u);var L=[],z=w(P.style);JSON.stringify(m.styleObj)!==JSON.stringify(z)&&(m.styleObj=z,h.setStyle(z.style),m.traceHash={},L.push(new Promise(function(F){h.once(\"styledata\",F)}))),L=L.concat(A.fetchTraceGeoData(y)),Promise.all(L).then(function(){m.fillBelowLookup(y,b),m.updateData(y),m.updateLayout(b),m.resolveOnRender(p)}).catch(u)},l.fillBelowLookup=function(y,b){var p=b[this.id],u=p.layers,m,h,P=this.belowLookup={},L=!1;for(m=0;m<y.length;m++){var z=y[m][0].trace,F=z._module;typeof z.below==\"string\"?h=z.below:F.getBelow&&(h=F.getBelow(z,this)),h===\"\"&&(L=!0),P[\"trace-\"+z.uid]=h||\"\"}for(m=0;m<u.length;m++){var B=u[m];typeof B.below==\"string\"?h=B.below:L?h=\"traces\":h=\"\",P[\"layout-\"+m]=h}var O={},I,N;for(I in P)h=P[I],O[h]?O[h].push(I):O[h]=[I];for(h in O){var U=O[h];if(U.length>1)for(m=0;m<U.length;m++)I=U[m],I.indexOf(\"trace-\")===0?(N=I.split(\"trace-\")[1],this.traceHash[N]&&(this.traceHash[N].below=null)):I.indexOf(\"layout-\")===0&&(N=I.split(\"layout-\")[1],this.layerList[N]&&(this.layerList[N].below=null))}};var _={choroplethmap:0,densitymap:1,scattermap:2};l.updateData=function(y){var b=this.traceHash,p,u,m,h,P=y.slice().sort(function(O,I){return _[O[0].trace.type]-_[I[0].trace.type]});for(m=0;m<P.length;m++){var L=P[m];u=L[0].trace,p=b[u.uid];var z=!1;p&&(p.type===u.type?(p.update(L),z=!0):p.dispose()),!z&&u._module&&(b[u.uid]=u._module.plot(this,L))}var F=Object.keys(b);e:for(m=0;m<F.length;m++){var B=F[m];for(h=0;h<y.length;h++)if(u=y[h][0].trace,B===u.uid)continue e;p=b[B],p.dispose(),delete b[B]}},l.updateLayout=function(y){var b=this.map,p=y[this.id];!this.dragging&&!this.wheeling&&(b.setCenter(E(p.center)),b.setZoom(p.zoom),b.setBearing(p.bearing),b.setPitch(p.pitch)),this.updateLayers(y),this.updateFramework(y),this.updateFx(y),this.map.resize(),this.gd._context._scrollZoom.map?b.scrollZoom.enable():b.scrollZoom.disable()},l.resolveOnRender=function(y){var b=this.map;b.on(\"render\",function p(){b.loaded()&&(b.off(\"render\",p),setTimeout(y,10))})},l.rejectOnError=function(y){var b=this.map;function p(){y(new Error(g.mapOnErrorMsg))}b.once(\"error\",p),b.once(\"style.error\",p),b.once(\"source.error\",p),b.once(\"tile.error\",p),b.once(\"layer.error\",p)},l.createFramework=function(y){var b=this,p=b.div=document.createElement(\"div\");p.id=b.uid,p.style.position=\"absolute\",b.container.appendChild(p),b.xaxis={_id:\"x\",c2p:function(u){return b.project(u).x}},b.yaxis={_id:\"y\",c2p:function(u){return b.project(u).y}},b.updateFramework(y),b.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},e.setConvert(b.mockAxis,y)},l.initFx=function(y,b){var p=this,u=p.gd,m=p.map;m.on(\"moveend\",function(L){if(p.map){var z=u._fullLayout;if(L.originalEvent||p.wheeling){var F=z[p.id];M.call(\"_storeDirectGUIEdit\",u.layout,z._preGUI,p.getViewEdits(F));var B=p.getView();F._input.center=F.center=B.center,F._input.zoom=F.zoom=B.zoom,F._input.bearing=F.bearing=B.bearing,F._input.pitch=F.pitch=B.pitch,u.emit(\"plotly_relayout\",p.getViewEditsWithDerived(B))}L.originalEvent&&L.originalEvent.type===\"mouseup\"?p.dragging=!1:p.wheeling&&(p.wheeling=!1),z&&z._rehover&&z._rehover()}}),m.on(\"wheel\",function(){p.wheeling=!0}),m.on(\"mousemove\",function(L){var z=p.div.getBoundingClientRect(),F=[L.originalEvent.offsetX,L.originalEvent.offsetY];L.target.getBoundingClientRect=function(){return z},p.xaxis.p2c=function(){return m.unproject(F).lng},p.yaxis.p2c=function(){return m.unproject(F).lat},u._fullLayout._rehover=function(){u._fullLayout._hoversubplot===p.id&&u._fullLayout[p.id]&&r.hover(u,L,p.id)},r.hover(u,L,p.id),u._fullLayout._hoversubplot=p.id});function h(){r.loneUnhover(b._hoverlayer)}m.on(\"dragstart\",function(){p.dragging=!0,h()}),m.on(\"zoomstart\",h),m.on(\"mouseout\",function(){u._fullLayout._hoversubplot=null});function P(){var L=p.getView();u.emit(\"plotly_relayouting\",p.getViewEditsWithDerived(L))}m.on(\"drag\",P),m.on(\"zoom\",P),m.on(\"dblclick\",function(){var L=u._fullLayout[p.id];M.call(\"_storeDirectGUIEdit\",u.layout,u._fullLayout._preGUI,p.getViewEdits(L));var z=p.viewInitial;m.setCenter(E(z.center)),m.setZoom(z.zoom),m.setBearing(z.bearing),m.setPitch(z.pitch);var F=p.getView();L._input.center=L.center=F.center,L._input.zoom=L.zoom=F.zoom,L._input.bearing=L.bearing=F.bearing,L._input.pitch=L.pitch=F.pitch,u.emit(\"plotly_doubleclick\",null),u.emit(\"plotly_relayout\",p.getViewEditsWithDerived(F))}),p.clearOutline=function(){c(p.dragOptions),s(p.dragOptions.gd)},p.onClickInPanFn=function(L){return function(z){var F=u._fullLayout.clickmode;F.indexOf(\"select\")>-1&&f(z.originalEvent,u,[p.xaxis],[p.yaxis],p.id,L),F.indexOf(\"event\")>-1&&r.click(u,z.originalEvent)}}},l.updateFx=function(y){var b=this,p=b.map,u=b.gd;if(b.isStatic)return;function m(z){var F=b.map.unproject(z);return[F.lng,F.lat]}var h=y.dragmode,P;P=function(z,F){if(F.isRect){var B=z.range={};B[b.id]=[m([F.xmin,F.ymin]),m([F.xmax,F.ymax])]}else{var O=z.lassoPoints={};O[b.id]=F.map(m)}};var L=b.dragOptions;b.dragOptions=x.extendDeep(L||{},{dragmode:y.dragmode,element:b.div,gd:u,plotinfo:{id:b.id,domain:y[b.id].domain,xaxis:b.xaxis,yaxis:b.yaxis,fillRangeItems:P},xaxes:[b.xaxis],yaxes:[b.yaxis],subplot:b.id}),p.off(\"click\",b.onClickInPanHandler),i(h)||a(h)?(p.dragPan.disable(),p.on(\"zoomstart\",b.clearOutline),b.dragOptions.prepFn=function(z,F,B){n(z,F,B,b.dragOptions,h)},t.init(b.dragOptions)):(p.dragPan.enable(),p.off(\"zoomstart\",b.clearOutline),b.div.onmousedown=null,b.div.ontouchstart=null,b.div.removeEventListener(\"touchstart\",b.div._ontouchstart),b.onClickInPanHandler=b.onClickInPanFn(b.dragOptions),p.on(\"click\",b.onClickInPanHandler))},l.updateFramework=function(y){var b=y[this.id].domain,p=y._size,u=this.div.style;u.width=p.w*(b.x[1]-b.x[0])+\"px\",u.height=p.h*(b.y[1]-b.y[0])+\"px\",u.left=p.l+b.x[0]*p.w+\"px\",u.top=p.t+(1-b.y[1])*p.h+\"px\",this.xaxis._offset=p.l+b.x[0]*p.w,this.xaxis._length=p.w*(b.x[1]-b.x[0]),this.yaxis._offset=p.t+(1-b.y[1])*p.h,this.yaxis._length=p.h*(b.y[1]-b.y[0])},l.updateLayers=function(y){var b=y[this.id],p=b.layers,u=this.layerList,m;if(p.length!==u.length){for(m=0;m<u.length;m++)u[m].dispose();for(u=this.layerList=[],m=0;m<p.length;m++)u.push(v(this,m,p[m]))}else for(m=0;m<p.length;m++)u[m].update(p[m])},l.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))},l.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},l.setOptions=function(y,b,p){for(var u in p)this.map[b](y,u,p[u])},l.getMapLayers=function(){return this.map.getStyle().layers},l.addLayer=function(y,b){var p=this.map;if(typeof b==\"string\"){if(b===\"\"){p.addLayer(y,b);return}for(var 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0:this._point=1,this._x2=It,this._y2=dr;break;case 1:this._point=2,this._x3=It,this._y3=dr;break;case 2:this._point=3,this._x4=It,this._y4=dr,this._context.moveTo((this._x0+4*this._x1+It)/6,(this._y0+4*this._y1+dr)/6);break;default:Zt(this,It,dr);break}this._x0=this._x1,this._x1=It,this._y0=this._y1,this._y1=dr}};function wr(It){return new jr(It)}function Ir(It){this._context=It}Ir.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||this._line!==0&&this._point===3)&&this._context.closePath(),this._line=1-this._line},point:function(It,dr){switch(It=+It,dr=+dr,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var kr=(this._x0+4*this._x1+It)/6,ia=(this._y0+4*this._y1+dr)/6;this._line?this._context.lineTo(kr,ia):this._context.moveTo(kr,ia);break;case 3:this._point=4;default:Zt(this,It,dr);break}this._x0=this._x1,this._x1=It,this._y0=this._y1,this._y1=dr}};function bt(It){return new Ir(It)}function Be(It,dr){this._basis=new Sr(It),this._beta=dr}Be.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var It=this._x,dr=this._y,kr=It.length-1;if(kr>0)for(var ia=It[0],Ca=dr[0],Fa=It[kr]-ia,Ya=dr[kr]-Ca,ha=-1,Da;++ha<=kr;)Da=ha/kr,this._basis.point(this._beta*It[ha]+(1-this._beta)*(ia+Da*Fa),this._beta*dr[ha]+(1-this._beta)*(Ca+Da*Ya));this._x=this._y=null,this._basis.lineEnd()},point:function(It,dr){this._x.push(+It),this._y.push(+dr)}};var Ke=function It(dr){function kr(ia){return dr===1?new Sr(ia):new Be(ia,dr)}return kr.beta=function(ia){return It(+ia)},kr}(.85);function Ue(It,dr,kr){It._context.bezierCurveTo(It._x1+It._k*(It._x2-It._x0),It._y1+It._k*(It._y2-It._y0),It._x2+It._k*(It._x1-dr),It._y2+It._k*(It._y1-kr),It._x2,It._y2)}function Me(It,dr){this._context=It,this._k=(1-dr)/6}Me.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:Ue(this,this._x1,this._y1);break}(this._line||this._line!==0&&this._point===1)&&this._context.closePath(),this._line=1-this._line},point:function(It,dr){switch(It=+It,dr=+dr,this._point){case 0:this._point=1,this._line?this._context.lineTo(It,dr):this._context.moveTo(It,dr);break;case 1:this._point=2,this._x1=It,this._y1=dr;break;case 2:this._point=3;default:Ue(this,It,dr);break}this._x0=this._x1,this._x1=this._x2,this._x2=It,this._y0=this._y1,this._y1=this._y2,this._y2=dr}};var qe=function It(dr){function kr(ia){return new Me(ia,dr)}return kr.tension=function(ia){return It(+ia)},kr}(0);function Ce(It,dr){this._context=It,this._k=(1-dr)/6}Ce.prototype={areaStart:Vt,areaEnd:Vt,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:{this._context.moveTo(this._x3,this._y3),this._context.closePath();break}case 2:{this._context.lineTo(this._x3,this._y3),this._context.closePath();break}case 3:{this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5);break}}},point:function(It,dr){switch(It=+It,dr=+dr,this._point){case 0:this._point=1,this._x3=It,this._y3=dr;break;case 1:this._point=2,this._context.moveTo(this._x4=It,this._y4=dr);break;case 2:this._point=3,this._x5=It,this._y5=dr;break;default:Ue(this,It,dr);break}this._x0=this._x1,this._x1=this._x2,this._x2=It,this._y0=this._y1,this._y1=this._y2,this._y2=dr}};var Te=function It(dr){function kr(ia){return new Ce(ia,dr)}return kr.tension=function(ia){return It(+ia)},kr}(0);function Pe(It,dr){this._context=It,this._k=(1-dr)/6}Pe.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){(this._line||this._line!==0&&this._point===3)&&this._context.closePath(),this._line=1-this._line},point:function(It,dr){switch(It=+It,dr=+dr,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:Ue(this,It,dr);break}this._x0=this._x1,this._x1=this._x2,this._x2=It,this._y0=this._y1,this._y1=this._y2,this._y2=dr}};var at=function It(dr){function kr(ia){return new Pe(ia,dr)}return kr.tension=function(ia){return It(+ia)},kr}(0);function yt(It,dr,kr){var ia=It._x1,Ca=It._y1,Fa=It._x2,Ya=It._y2;if(It._l01_a>n){var ha=2*It._l01_2a+3*It._l01_a*It._l12_a+It._l12_2a,Da=3*It._l01_a*(It._l01_a+It._l12_a);ia=(ia*ha-It._x0*It._l12_2a+It._x2*It._l01_2a)/Da,Ca=(Ca*ha-It._y0*It._l12_2a+It._y2*It._l01_2a)/Da}if(It._l23_a>n){var Xi=2*It._l23_2a+3*It._l23_a*It._l12_a+It._l12_2a,Li=3*It._l23_a*(It._l23_a+It._l12_a);Fa=(Fa*Xi+It._x1*It._l23_2a-dr*It._l12_2a)/Li,Ya=(Ya*Xi+It._y1*It._l23_2a-kr*It._l12_2a)/Li}It._context.bezierCurveTo(ia,Ca,Fa,Ya,It._x2,It._y2)}function Tt(It,dr){this._context=It,this._alpha=dr}Tt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:this.point(this._x2,this._y2);break}(this._line||this._line!==0&&this._point===1)&&this._context.closePath(),this._line=1-this._line},point:function(It,dr){if(It=+It,dr=+dr,this._point){var kr=this._x2-It,ia=this._y2-dr;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(kr*kr+ia*ia,this._alpha))}switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(It,dr):this._context.moveTo(It,dr);break;case 1:this._point=2;break;case 2:this._point=3;default:yt(this,It,dr);break}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=It,this._y0=this._y1,this._y1=this._y2,this._y2=dr}};var Ot=function It(dr){function kr(ia){return dr?new Tt(ia,dr):new Me(ia,0)}return kr.alpha=function(ia){return It(+ia)},kr}(.5);function Gt(It,dr){this._context=It,this._alpha=dr}Gt.prototype={areaStart:Vt,areaEnd:Vt,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 1:{this._context.moveTo(this._x3,this._y3),this._context.closePath();break}case 2:{this._context.lineTo(this._x3,this._y3),this._context.closePath();break}case 3:{this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5);break}}},point:function(It,dr){if(It=+It,dr=+dr,this._point){var kr=this._x2-It,ia=this._y2-dr;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(kr*kr+ia*ia,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=It,this._y3=dr;break;case 1:this._point=2,this._context.moveTo(this._x4=It,this._y4=dr);break;case 2:this._point=3,this._x5=It,this._y5=dr;break;default:yt(this,It,dr);break}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=It,this._y0=this._y1,this._y1=this._y2,this._y2=dr}};var rr=function It(dr){function kr(ia){return dr?new Gt(ia,dr):new Ce(ia,0)}return kr.alpha=function(ia){return It(+ia)},kr}(.5);function Qt(It,dr){this._context=It,this._alpha=dr}Qt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){(this._line||this._line!==0&&this._point===3)&&this._context.closePath(),this._line=1-this._line},point:function(It,dr){if(It=+It,dr=+dr,this._point){var kr=this._x2-It,ia=this._y2-dr;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(kr*kr+ia*ia,this._alpha))}switch(this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:yt(this,It,dr);break}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=It,this._y0=this._y1,this._y1=this._y2,this._y2=dr}};var Tr=function It(dr){function kr(ia){return dr?new Qt(ia,dr):new Pe(ia,0)}return kr.alpha=function(ia){return It(+ia)},kr}(.5);function la(It){this._context=It}la.prototype={areaStart:Vt,areaEnd:Vt,lineStart:function(){this._point=0},lineEnd:function(){this._point&&this._context.closePath()},point:function(It,dr){It=+It,dr=+dr,this._point?this._context.lineTo(It,dr):(this._point=1,this._context.moveTo(It,dr))}};function Ua(It){return new la(It)}function Ba(It){return It<0?-1:1}function Ra(It,dr,kr){var ia=It._x1-It._x0,Ca=dr-It._x1,Fa=(It._y1-It._y0)/(ia||Ca<0&&-0),Ya=(kr-It._y1)/(Ca||ia<0&&-0),ha=(Fa*Ca+Ya*ia)/(ia+Ca);return(Ba(Fa)+Ba(Ya))*Math.min(Math.abs(Fa),Math.abs(Ya),.5*Math.abs(ha))||0}function ei(It,dr){var kr=It._x1-It._x0;return kr?(3*(It._y1-It._y0)/kr-dr)/2:dr}function za(It,dr,kr){var ia=It._x0,Ca=It._y0,Fa=It._x1,Ya=It._y1,ha=(Fa-ia)/3;It._context.bezierCurveTo(ia+ha,Ca+ha*dr,Fa-ha,Ya-ha*kr,Fa,Ya)}function ti(It){this._context=It}ti.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=this._t0=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x1,this._y1);break;case 3:za(this,this._t0,ei(this,this._t0));break}(this._line||this._line!==0&&this._point===1)&&this._context.closePath(),this._line=1-this._line},point:function(It,dr){var kr=NaN;if(It=+It,dr=+dr,!(It===this._x1&&dr===this._y1)){switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(It,dr):this._context.moveTo(It,dr);break;case 1:this._point=2;break;case 2:this._point=3,za(this,ei(this,kr=Ra(this,It,dr)),kr);break;default:za(this,this._t0,kr=Ra(this,It,dr));break}this._x0=this._x1,this._x1=It,this._y0=this._y1,this._y1=dr,this._t0=kr}}};function Ci(It){this._context=new Jt(It)}(Ci.prototype=Object.create(ti.prototype)).point=function(It,dr){ti.prototype.point.call(this,dr,It)};function Jt(It){this._context=It}Jt.prototype={moveTo:function(It,dr){this._context.moveTo(dr,It)},closePath:function(){this._context.closePath()},lineTo:function(It,dr){this._context.lineTo(dr,It)},bezierCurveTo:function(It,dr,kr,ia,Ca,Fa){this._context.bezierCurveTo(dr,It,ia,kr,Fa,Ca)}};function Nt(It){return new ti(It)}function Kt(It){return new Ci(It)}function Wt(It){this._context=It}Wt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=[],this._y=[]},lineEnd:function(){var It=this._x,dr=this._y,kr=It.length;if(kr)if(this._line?this._context.lineTo(It[0],dr[0]):this._context.moveTo(It[0],dr[0]),kr===2)this._context.lineTo(It[1],dr[1]);else for(var ia=Pr(It),Ca=Pr(dr),Fa=0,Ya=1;Ya<kr;++Fa,++Ya)this._context.bezierCurveTo(ia[0][Fa],Ca[0][Fa],ia[1][Fa],Ca[1][Fa],It[Ya],dr[Ya]);(this._line||this._line!==0&&kr===1)&&this._context.closePath(),this._line=1-this._line,this._x=this._y=null},point:function(It,dr){this._x.push(+It),this._y.push(+dr)}};function Pr(It){var dr,kr=It.length-1,ia,Ca=new Array(kr),Fa=new Array(kr),Ya=new Array(kr);for(Ca[0]=0,Fa[0]=2,Ya[0]=It[0]+2*It[1],dr=1;dr<kr-1;++dr)Ca[dr]=1,Fa[dr]=4,Ya[dr]=4*It[dr]+2*It[dr+1];for(Ca[kr-1]=2,Fa[kr-1]=7,Ya[kr-1]=8*It[kr-1]+It[kr],dr=1;dr<kr;++dr)ia=Ca[dr]/Fa[dr-1],Fa[dr]-=ia,Ya[dr]-=ia*Ya[dr-1];for(Ca[kr-1]=Ya[kr-1]/Fa[kr-1],dr=kr-2;dr>=0;--dr)Ca[dr]=(Ya[dr]-Ca[dr+1])/Fa[dr];for(Fa[kr-1]=(It[kr]+Ca[kr-1])/2,dr=0;dr<kr-1;++dr)Fa[dr]=2*It[dr+1]-Ca[dr+1];return[Ca,Fa]}function ta(It){return new Wt(It)}function ma(It,dr){this._context=It,this._t=dr}ma.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=this._y=NaN,this._point=0},lineEnd:function(){0<this._t&&this._t<1&&this._point===2&&this._context.lineTo(this._x,this._y),(this._line||this._line!==0&&this._point===1)&&this._context.closePath(),this._line>=0&&(this._t=1-this._t,this._line=1-this._line)},point:function(It,dr){switch(It=+It,dr=+dr,this._point){case 0:this._point=1,this._line?this._context.lineTo(It,dr):this._context.moveTo(It,dr);break;case 1:this._point=2;default:{if(this._t<=0)this._context.lineTo(this._x,dr),this._context.lineTo(It,dr);else{var kr=this._x*(1-this._t)+It*this._t;this._context.lineTo(kr,this._y),this._context.lineTo(kr,dr)}break}}this._x=It,this._y=dr}};function ra(It){return new ma(It,.5)}function Ia(It){return new ma(It,0)}function Ha(It){return new ma(It,1)}function $a(It,dr){if((Ya=It.length)>1)for(var kr=1,ia,Ca,Fa=It[dr[0]],Ya,ha=Fa.length;kr<Ya;++kr)for(Ca=Fa,Fa=It[dr[kr]],ia=0;ia<ha;++ia)Fa[ia][1]+=Fa[ia][0]=isNaN(Ca[ia][1])?Ca[ia][0]:Ca[ia][1]}function ai(It){for(var dr=It.length,kr=new Array(dr);--dr>=0;)kr[dr]=dr;return kr}function mi(It,dr){return It[dr]}function xt(){var It=A([]),dr=ai,kr=$a,ia=mi;function Ca(Fa){var Ya=It.apply(this,arguments),ha,Da=Fa.length,Xi=Ya.length,Li=new Array(Xi),fn;for(ha=0;ha<Xi;++ha){for(var An=Ya[ha],kn=Li[ha]=new Array(Da),zn=0,Xn;zn<Da;++zn)kn[zn]=Xn=[0,+ia(Fa[zn],An,zn,Fa)],Xn.data=Fa[zn];kn.key=An}for(ha=0,fn=dr(Li);ha<Xi;++ha)Li[fn[ha]].index=ha;return kr(Li,fn),Li}return Ca.keys=function(Fa){return arguments.length?(It=typeof Fa==\"function\"?Fa:A(le.call(Fa)),Ca):It},Ca.value=function(Fa){return arguments.length?(ia=typeof Fa==\"function\"?Fa:A(+Fa),Ca):ia},Ca.order=function(Fa){return arguments.length?(dr=Fa==null?ai:typeof Fa==\"function\"?Fa:A(le.call(Fa)),Ca):dr},Ca.offset=function(Fa){return arguments.length?(kr=Fa??$a,Ca):kr},Ca}function ct(It,dr){if((ia=It.length)>0){for(var kr,ia,Ca=0,Fa=It[0].length,Ya;Ca<Fa;++Ca){for(Ya=kr=0;kr<ia;++kr)Ya+=It[kr][Ca][1]||0;if(Ya)for(kr=0;kr<ia;++kr)It[kr][Ca][1]/=Ya}$a(It,dr)}}function Nr(It,dr){if((Da=It.length)>0)for(var kr,ia=0,Ca,Fa,Ya,ha,Da,Xi=It[dr[0]].length;ia<Xi;++ia)for(Ya=ha=0,kr=0;kr<Da;++kr)(Fa=(Ca=It[dr[kr]][ia])[1]-Ca[0])>0?(Ca[0]=Ya,Ca[1]=Ya+=Fa):Fa<0?(Ca[1]=ha,Ca[0]=ha+=Fa):(Ca[0]=0,Ca[1]=Fa)}function 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Re.targetLinks.forEach(function(tt){ot=tt.circular&&!Ae(tt,Xe)?ot+1:ot}),it+ot}function O(Re){var Xe=Re.source.sourceLinks,it=0;Xe.forEach(function(lt){it=lt.circular?it+1:it});var ot=Re.target.targetLinks,tt=0;return ot.forEach(function(lt){tt=lt.circular?tt+1:tt}),!(it>1||tt>1)}function I(Re,Xe,it){return Re.sort(W),Re.forEach(function(ot,tt){var lt=0;if(Ae(ot,it)&&O(ot))ot.circularPathData.verticalBuffer=lt+ot.width/2;else{var Ee=0;for(Ee;Ee<tt;Ee++)if(F(Re[tt],Re[Ee])){var _e=Re[Ee].circularPathData.verticalBuffer+Re[Ee].width/2+Xe;lt=_e>lt?_e:lt}ot.circularPathData.verticalBuffer=lt+ot.width/2}}),Re}function N(Re,Xe,it,ot){var tt=5,lt=x.min(Re.links,function(fe){return fe.source.y0});Re.links.forEach(function(fe){fe.circular&&(fe.circularPathData={})});var Ee=Re.links.filter(function(fe){return fe.circularLinkType==\"top\"});I(Ee,Xe,ot);var _e=Re.links.filter(function(fe){return fe.circularLinkType==\"bottom\"});I(_e,Xe,ot),Re.links.forEach(function(fe){if(fe.circular){if(fe.circularPathData.arcRadius=fe.width+u,fe.circularPathData.leftNodeBuffer=tt,fe.circularPathData.rightNodeBuffer=tt,fe.circularPathData.sourceWidth=fe.source.x1-fe.source.x0,fe.circularPathData.sourceX=fe.source.x0+fe.circularPathData.sourceWidth,fe.circularPathData.targetX=fe.target.x0,fe.circularPathData.sourceY=fe.y0,fe.circularPathData.targetY=fe.y1,Ae(fe,ot)&&O(fe))fe.circularPathData.leftSmallArcRadius=u+fe.width/2,fe.circularPathData.leftLargeArcRadius=u+fe.width/2,fe.circularPathData.rightSmallArcRadius=u+fe.width/2,fe.circularPathData.rightLargeArcRadius=u+fe.width/2,fe.circularLinkType==\"bottom\"?(fe.circularPathData.verticalFullExtent=fe.source.y1+p+fe.circularPathData.verticalBuffer,fe.circularPathData.verticalLeftInnerExtent=fe.circularPathData.verticalFullExtent-fe.circularPathData.leftLargeArcRadius,fe.circularPathData.verticalRightInnerExtent=fe.circularPathData.verticalFullExtent-fe.circularPathData.rightLargeArcRadius):(fe.circularPathData.verticalFullExtent=fe.source.y0-p-fe.circularPathData.verticalBuffer,fe.circularPathData.verticalLeftInnerExtent=fe.circularPathData.verticalFullExtent+fe.circularPathData.leftLargeArcRadius,fe.circularPathData.verticalRightInnerExtent=fe.circularPathData.verticalFullExtent+fe.circularPathData.rightLargeArcRadius);else{var Fe=fe.source.column,rt=fe.circularLinkType,st=Re.links.filter(function(kt){return kt.source.column==Fe&&kt.circularLinkType==rt});fe.circularLinkType==\"bottom\"?st.sort(ue):st.sort(Q);var Qe=0;st.forEach(function(kt,Vt){kt.circularLinkID==fe.circularLinkID&&(fe.circularPathData.leftSmallArcRadius=u+fe.width/2+Qe,fe.circularPathData.leftLargeArcRadius=u+fe.width/2+Vt*Xe+Qe),Qe=Qe+kt.width}),Fe=fe.target.column,st=Re.links.filter(function(kt){return kt.target.column==Fe&&kt.circularLinkType==rt}),fe.circularLinkType==\"bottom\"?st.sort(he):st.sort(le),Qe=0,st.forEach(function(kt,Vt){kt.circularLinkID==fe.circularLinkID&&(fe.circularPathData.rightSmallArcRadius=u+fe.width/2+Qe,fe.circularPathData.rightLargeArcRadius=u+fe.width/2+Vt*Xe+Qe),Qe=Qe+kt.width}),fe.circularLinkType==\"bottom\"?(fe.circularPathData.verticalFullExtent=Math.max(it,fe.source.y1,fe.target.y1)+p+fe.circularPathData.verticalBuffer,fe.circularPathData.verticalLeftInnerExtent=fe.circularPathData.verticalFullExtent-fe.circularPathData.leftLargeArcRadius,fe.circularPathData.verticalRightInnerExtent=fe.circularPathData.verticalFullExtent-fe.circularPathData.rightLargeArcRadius):(fe.circularPathData.verticalFullExtent=lt-p-fe.circularPathData.verticalBuffer,fe.circularPathData.verticalLeftInnerExtent=fe.circularPathData.verticalFullExtent+fe.circularPathData.leftLargeArcRadius,fe.circularPathData.verticalRightInnerExtent=fe.circularPathData.verticalFullExtent+fe.circularPathData.rightLargeArcRadius)}fe.circularPathData.leftInnerExtent=fe.circularPathData.sourceX+fe.circularPathData.leftNodeBuffer,fe.circularPathData.rightInnerExtent=fe.circularPathData.targetX-fe.circularPathData.rightNodeBuffer,fe.circularPathData.leftFullExtent=fe.circularPathData.sourceX+fe.circularPathData.leftLargeArcRadius+fe.circularPathData.leftNodeBuffer,fe.circularPathData.rightFullExtent=fe.circularPathData.targetX-fe.circularPathData.rightLargeArcRadius-fe.circularPathData.rightNodeBuffer}if(fe.circular)fe.path=U(fe);else{var Lt=M.linkHorizontal().source(function(kt){var Vt=kt.source.x0+(kt.source.x1-kt.source.x0),Zt=kt.y0;return[Vt,Zt]}).target(function(kt){var Vt=kt.target.x0,Zt=kt.y1;return[Vt,Zt]});fe.path=Lt(fe)}})}function U(Re){var Xe=\"\";return Re.circularLinkType==\"top\"?Xe=\"M\"+Re.circularPathData.sourceX+\" \"+Re.circularPathData.sourceY+\" L\"+Re.circularPathData.leftInnerExtent+\" \"+Re.circularPathData.sourceY+\" A\"+Re.circularPathData.leftLargeArcRadius+\" \"+Re.circularPathData.leftSmallArcRadius+\" 0 0 0 \"+Re.circularPathData.leftFullExtent+\" \"+(Re.circularPathData.sourceY-Re.circularPathData.leftSmallArcRadius)+\" L\"+Re.circularPathData.leftFullExtent+\" \"+Re.circularPathData.verticalLeftInnerExtent+\" A\"+Re.circularPathData.leftLargeArcRadius+\" \"+Re.circularPathData.leftLargeArcRadius+\" 0 0 0 \"+Re.circularPathData.leftInnerExtent+\" \"+Re.circularPathData.verticalFullExtent+\" L\"+Re.circularPathData.rightInnerExtent+\" \"+Re.circularPathData.verticalFullExtent+\" A\"+Re.circularPathData.rightLargeArcRadius+\" \"+Re.circularPathData.rightLargeArcRadius+\" 0 0 0 \"+Re.circularPathData.rightFullExtent+\" \"+Re.circularPathData.verticalRightInnerExtent+\" L\"+Re.circularPathData.rightFullExtent+\" \"+(Re.circularPathData.targetY-Re.circularPathData.rightSmallArcRadius)+\" A\"+Re.circularPathData.rightLargeArcRadius+\" \"+Re.circularPathData.rightSmallArcRadius+\" 0 0 0 \"+Re.circularPathData.rightInnerExtent+\" \"+Re.circularPathData.targetY+\" L\"+Re.circularPathData.targetX+\" \"+Re.circularPathData.targetY:Xe=\"M\"+Re.circularPathData.sourceX+\" \"+Re.circularPathData.sourceY+\" L\"+Re.circularPathData.leftInnerExtent+\" \"+Re.circularPathData.sourceY+\" A\"+Re.circularPathData.leftLargeArcRadius+\" \"+Re.circularPathData.leftSmallArcRadius+\" 0 0 1 \"+Re.circularPathData.leftFullExtent+\" \"+(Re.circularPathData.sourceY+Re.circularPathData.leftSmallArcRadius)+\" L\"+Re.circularPathData.leftFullExtent+\" \"+Re.circularPathData.verticalLeftInnerExtent+\" A\"+Re.circularPathData.leftLargeArcRadius+\" \"+Re.circularPathData.leftLargeArcRadius+\" 0 0 1 \"+Re.circularPathData.leftInnerExtent+\" \"+Re.circularPathData.verticalFullExtent+\" L\"+Re.circularPathData.rightInnerExtent+\" \"+Re.circularPathData.verticalFullExtent+\" A\"+Re.circularPathData.rightLargeArcRadius+\" \"+Re.circularPathData.rightLargeArcRadius+\" 0 0 1 \"+Re.circularPathData.rightFullExtent+\" \"+Re.circularPathData.verticalRightInnerExtent+\" L\"+Re.circularPathData.rightFullExtent+\" \"+(Re.circularPathData.targetY+Re.circularPathData.rightSmallArcRadius)+\" A\"+Re.circularPathData.rightLargeArcRadius+\" \"+Re.circularPathData.rightSmallArcRadius+\" 0 0 1 \"+Re.circularPathData.rightInnerExtent+\" \"+Re.circularPathData.targetY+\" L\"+Re.circularPathData.targetX+\" \"+Re.circularPathData.targetY,Xe}function W(Re,Xe){return G(Re)==G(Xe)?Re.circularLinkType==\"bottom\"?ue(Re,Xe):Q(Re,Xe):G(Xe)-G(Re)}function Q(Re,Xe){return Re.y0-Xe.y0}function ue(Re,Xe){return Xe.y0-Re.y0}function le(Re,Xe){return Re.y1-Xe.y1}function he(Re,Xe){return Xe.y1-Re.y1}function G(Re){return Re.target.column-Re.source.column}function $(Re){return Re.target.x0-Re.source.x1}function J(Re,Xe){var it=z(Re),ot=$(Xe)/Math.tan(it),tt=be(Re)==\"up\"?Re.y1+ot:Re.y1-ot;return tt}function X(Re,Xe){var it=z(Re),ot=$(Xe)/Math.tan(it),tt=be(Re)==\"up\"?Re.y1-ot:Re.y1+ot;return tt}function oe(Re,Xe,it,ot){Re.links.forEach(function(tt){if(!tt.circular&&tt.target.column-tt.source.column>1){var lt=tt.source.column+1,Ee=tt.target.column-1,_e=1,fe=Ee-lt+1;for(_e=1;lt<=Ee;lt++,_e++)Re.nodes.forEach(function(Fe){if(Fe.column==lt){var rt=_e/(fe+1),st=Math.pow(1-rt,3),Qe=3*rt*Math.pow(1-rt,2),Lt=3*Math.pow(rt,2)*(1-rt),kt=Math.pow(rt,3),Vt=st*tt.y0+Qe*tt.y0+Lt*tt.y1+kt*tt.y1,Zt=Vt-tt.width/2,Sr=Vt+tt.width/2,xr;Zt>Fe.y0&&Zt<Fe.y1?(xr=Fe.y1-Zt+10,xr=Fe.circularLinkType==\"bottom\"?xr:-xr,Fe=j(Fe,xr,Xe,it),Re.nodes.forEach(function(jr){b(jr,ot)==b(Fe,ot)||jr.column!=Fe.column||ie(Fe,jr)&&j(jr,xr,Xe,it)})):Sr>Fe.y0&&Sr<Fe.y1?(xr=Sr-Fe.y0+10,Fe=j(Fe,xr,Xe,it),Re.nodes.forEach(function(jr){b(jr,ot)==b(Fe,ot)||jr.column!=Fe.column||jr.y0<Fe.y1&&jr.y1>Fe.y1&&j(jr,xr,Xe,it)})):Zt<Fe.y0&&Sr>Fe.y1&&(xr=Sr-Fe.y0+10,Fe=j(Fe,xr,Xe,it),Re.nodes.forEach(function(jr){b(jr,ot)==b(Fe,ot)||jr.column!=Fe.column||jr.y0<Fe.y1&&jr.y1>Fe.y1&&j(jr,xr,Xe,it)}))}})}})}function ie(Re,Xe){return Re.y0>Xe.y0&&Re.y0<Xe.y1||Re.y1>Xe.y0&&Re.y1<Xe.y1?!0:Re.y0<Xe.y0&&Re.y1>Xe.y1}function j(Re,Xe,it,ot){return Re.y0+Xe>=it&&Re.y1+Xe<=ot&&(Re.y0=Re.y0+Xe,Re.y1=Re.y1+Xe,Re.targetLinks.forEach(function(tt){tt.y1=tt.y1+Xe}),Re.sourceLinks.forEach(function(tt){tt.y0=tt.y0+Xe})),Re}function ee(Re,Xe,it,ot){Re.nodes.forEach(function(tt){ot&&tt.y+(tt.y1-tt.y0)>Xe&&(tt.y=tt.y-(tt.y+(tt.y1-tt.y0)-Xe));var lt=Re.links.filter(function(fe){return b(fe.source,it)==b(tt,it)}),Ee=lt.length;Ee>1&&lt.sort(function(fe,Fe){if(!fe.circular&&!Fe.circular){if(fe.target.column==Fe.target.column)return fe.y1-Fe.y1;if(ce(fe,Fe)){if(fe.target.column>Fe.target.column){var rt=X(Fe,fe);return fe.y1-rt}if(Fe.target.column>fe.target.column){var st=X(fe,Fe);return st-Fe.y1}}else return fe.y1-Fe.y1}if(fe.circular&&!Fe.circular)return fe.circularLinkType==\"top\"?-1:1;if(Fe.circular&&!fe.circular)return Fe.circularLinkType==\"top\"?1:-1;if(fe.circular&&Fe.circular)return fe.circularLinkType===Fe.circularLinkType&&fe.circularLinkType==\"top\"?fe.target.column===Fe.target.column?fe.target.y1-Fe.target.y1:Fe.target.column-fe.target.column:fe.circularLinkType===Fe.circularLinkType&&fe.circularLinkType==\"bottom\"?fe.target.column===Fe.target.column?Fe.target.y1-fe.target.y1:fe.target.column-Fe.target.column:fe.circularLinkType==\"top\"?-1:1});var _e=tt.y0;lt.forEach(function(fe){fe.y0=_e+fe.width/2,_e=_e+fe.width}),lt.forEach(function(fe,Fe){if(fe.circularLinkType==\"bottom\"){var rt=Fe+1,st=0;for(rt;rt<Ee;rt++)st=st+lt[rt].width;fe.y0=tt.y1-st-fe.width/2}})})}function re(Re,Xe,it){Re.nodes.forEach(function(ot){var tt=Re.links.filter(function(_e){return b(_e.target,it)==b(ot,it)}),lt=tt.length;lt>1&&tt.sort(function(_e,fe){if(!_e.circular&&!fe.circular){if(_e.source.column==fe.source.column)return _e.y0-fe.y0;if(ce(_e,fe)){if(fe.source.column<_e.source.column){var Fe=J(fe,_e);return _e.y0-Fe}if(_e.source.column<fe.source.column){var rt=J(_e,fe);return rt-fe.y0}}else return _e.y0-fe.y0}if(_e.circular&&!fe.circular)return _e.circularLinkType==\"top\"?-1:1;if(fe.circular&&!_e.circular)return fe.circularLinkType==\"top\"?1:-1;if(_e.circular&&fe.circular)return _e.circularLinkType===fe.circularLinkType&&_e.circularLinkType==\"top\"?_e.source.column===fe.source.column?_e.source.y1-fe.source.y1:_e.source.column-fe.source.column:_e.circularLinkType===fe.circularLinkType&&_e.circularLinkType==\"bottom\"?_e.source.column===fe.source.column?_e.source.y1-fe.source.y1:fe.source.column-_e.source.column:_e.circularLinkType==\"top\"?-1:1});var Ee=ot.y0;tt.forEach(function(_e){_e.y1=Ee+_e.width/2,Ee=Ee+_e.width}),tt.forEach(function(_e,fe){if(_e.circularLinkType==\"bottom\"){var Fe=fe+1,rt=0;for(Fe;Fe<lt;Fe++)rt=rt+tt[Fe].width;_e.y1=ot.y1-rt-_e.width/2}})})}function ce(Re,Xe){return be(Re)==be(Xe)}function be(Re){return Re.y0-Re.y1>0?\"up\":\"down\"}function Ae(Re,Xe){return b(Re.source,Xe)==b(Re.target,Xe)}function ze(Re,Xe,it){var ot=Re.nodes,tt=Re.links,lt=!1,Ee=!1;if(tt.forEach(function(Qe){Qe.circularLinkType==\"top\"?lt=!0:Qe.circularLinkType==\"bottom\"&&(Ee=!0)}),lt==!1||Ee==!1){var _e=x.min(ot,function(Qe){return Qe.y0}),fe=x.max(ot,function(Qe){return Qe.y1}),Fe=fe-_e,rt=it-Xe,st=rt/Fe;ot.forEach(function(Qe){var Lt=(Qe.y1-Qe.y0)*st;Qe.y0=(Qe.y0-_e)*st,Qe.y1=Qe.y0+Lt}),tt.forEach(function(Qe){Qe.y0=(Qe.y0-_e)*st,Qe.y1=(Qe.y1-_e)*st,Qe.width=Qe.width*st})}}d.sankeyCircular=h,d.sankeyCenter=i,d.sankeyLeft=r,d.sankeyRight=o,d.sankeyJustify=a,Object.defineProperty(d,\"__esModule\",{value:!0})})}}),U6=Ze({\"src/traces/sankey/constants.js\"(Z,q){\"use strict\";q.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"linear\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeLabel:\"node-label\"}}}}),dG=Ze({\"src/traces/sankey/render.js\"(Z,q){\"use strict\";var d=uG(),x=(hg(),nh(f0)).interpolateNumber,A=On(),M=fG(),e=pG(),t=U6(),r=Ch(),o=Yn(),a=as(),i=ca(),n=i.strTranslate,s=i.strRotate,c=Cv(),f=c.keyFun,g=c.repeat,v=c.unwrap,T=fu(),l=oo(),_=mh(),w=_.CAP_SHIFT,S=_.LINE_SPACING,E=3;function y(J,X,oe){var ie=v(X),j=ie.trace,ee=j.domain,re=j.orientation===\"h\",ce=j.node.pad,be=j.node.thickness,Ae={justify:M.sankeyJustify,left:M.sankeyLeft,right:M.sankeyRight,center:M.sankeyCenter}[j.node.align],ze=J.width*(ee.x[1]-ee.x[0]),Re=J.height*(ee.y[1]-ee.y[0]),Xe=ie._nodes,it=ie._links,ot=ie.circular,tt;ot?tt=e.sankeyCircular().circularLinkGap(0):tt=M.sankey(),tt.iterations(t.sankeyIterations).size(re?[ze,Re]:[Re,ze]).nodeWidth(be).nodePadding(ce).nodeId(function(jr){return jr.pointNumber}).nodeAlign(Ae).nodes(Xe).links(it);var lt=tt();tt.nodePadding()<ce&&i.warn(\"node.pad was reduced to \",tt.nodePadding(),\" to fit within the figure.\");var Ee,_e,fe;for(var Fe in ie._groupLookup){var rt=parseInt(ie._groupLookup[Fe]),st;for(Ee=0;Ee<lt.nodes.length;Ee++)if(lt.nodes[Ee].pointNumber===rt){st=lt.nodes[Ee];break}if(st){var Qe={pointNumber:parseInt(Fe),x0:st.x0,x1:st.x1,y0:st.y0,y1:st.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};lt.nodes.unshift(Qe),st.childrenNodes.unshift(Qe)}}function Lt(){for(Ee=0;Ee<lt.nodes.length;Ee++){var jr=lt.nodes[Ee],wr={},Ir,bt;for(_e=0;_e<jr.targetLinks.length;_e++)bt=jr.targetLinks[_e],Ir=bt.source.pointNumber+\":\"+bt.target.pointNumber,wr.hasOwnProperty(Ir)||(wr[Ir]=[]),wr[Ir].push(bt);var Be=Object.keys(wr);for(_e=0;_e<Be.length;_e++){Ir=Be[_e];var Ke=wr[Ir],Ue=0,Me={};for(fe=0;fe<Ke.length;fe++)bt=Ke[fe],Me[bt.label]||(Me[bt.label]=0),Me[bt.label]+=bt.value,Ue+=bt.value;for(fe=0;fe<Ke.length;fe++)bt=Ke[fe],bt.flow={value:Ue,labelConcentration:Me[bt.label]/Ue,concentration:bt.value/Ue,links:Ke},bt.concentrationscale&&(bt.color=r(bt.concentrationscale(bt.flow.labelConcentration)))}var qe=0;for(_e=0;_e<jr.sourceLinks.length;_e++)qe+=jr.sourceLinks[_e].value;for(_e=0;_e<jr.sourceLinks.length;_e++)bt=jr.sourceLinks[_e],bt.concentrationOut=bt.value/qe;var Ce=0;for(_e=0;_e<jr.targetLinks.length;_e++)Ce+=jr.targetLinks[_e].value;for(_e=0;_e<jr.targetLinks.length;_e++)bt=jr.targetLinks[_e],bt.concenrationIn=bt.value/Ce}}Lt();function kt(jr){jr.forEach(function(wr){var Ir,bt,Be=0,Ke=wr.length,Ue;for(wr.sort(function(Me,qe){return Me.y0-qe.y0}),Ue=0;Ue<Ke;++Ue)Ir=wr[Ue],Ir.y0>=Be||(bt=Be-Ir.y0,bt>1e-6&&(Ir.y0+=bt,Ir.y1+=bt)),Be=Ir.y1+ce})}function Vt(jr){var wr=jr.map(function(qe,Ce){return{x0:qe.x0,index:Ce}}).sort(function(qe,Ce){return qe.x0-Ce.x0}),Ir=[],bt=-1,Be,Ke=-1/0,Ue;for(Ee=0;Ee<wr.length;Ee++){var Me=jr[wr[Ee].index];Me.x0>Ke+be&&(bt+=1,Be=Me.x0),Ke=Me.x0,Ir[bt]||(Ir[bt]=[]),Ir[bt].push(Me),Ue=Be-Me.x0,Me.x0+=Ue,Me.x1+=Ue}return Ir}if(j.node.x.length&&j.node.y.length){for(Ee=0;Ee<Math.min(j.node.x.length,j.node.y.length,lt.nodes.length);Ee++)if(j.node.x[Ee]&&j.node.y[Ee]){var Zt=[j.node.x[Ee]*ze,j.node.y[Ee]*Re];lt.nodes[Ee].x0=Zt[0]-be/2,lt.nodes[Ee].x1=Zt[0]+be/2;var Sr=lt.nodes[Ee].y1-lt.nodes[Ee].y0;lt.nodes[Ee].y0=Zt[1]-Sr/2,lt.nodes[Ee].y1=Zt[1]+Sr/2}if(j.arrangement===\"snap\"){Xe=lt.nodes;var xr=Vt(Xe);kt(xr)}tt.update(lt)}return{circular:ot,key:oe,trace:j,guid:i.randstr(),horizontal:re,width:ze,height:Re,nodePad:j.node.pad,nodeLineColor:j.node.line.color,nodeLineWidth:j.node.line.width,linkLineColor:j.link.line.color,linkLineWidth:j.link.line.width,linkArrowLength:j.link.arrowlen,valueFormat:j.valueformat,valueSuffix:j.valuesuffix,textFont:j.textfont,translateX:ee.x[0]*J.width+J.margin.l,translateY:J.height-ee.y[1]*J.height+J.margin.t,dragParallel:re?Re:ze,dragPerpendicular:re?ze:Re,arrangement:j.arrangement,sankey:tt,graph:lt,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function b(J,X,oe){var ie=r(X.color),j=r(X.hovercolor),ee=X.source.label+\"|\"+X.target.label,re=ee+\"__\"+oe;return X.trace=J.trace,X.curveNumber=J.trace.index,{circular:J.circular,key:re,traceId:J.key,pointNumber:X.pointNumber,link:X,tinyColorHue:o.tinyRGB(ie),tinyColorAlpha:ie.getAlpha(),tinyColorHoverHue:o.tinyRGB(j),tinyColorHoverAlpha:j.getAlpha(),linkPath:u,linkLineColor:J.linkLineColor,linkLineWidth:J.linkLineWidth,linkArrowLength:J.linkArrowLength,valueFormat:J.valueFormat,valueSuffix:J.valueSuffix,sankey:J.sankey,parent:J,interactionState:J.interactionState,flow:X.flow}}function p(J,X){var oe=\"\",ie=J.width/2,j=J.circularPathData,ee=j.sourceX+j.verticalBuffer<j.targetX,re=j.rightFullExtent-j.rightLargeArcRadius-X<=j.leftFullExtent-ie,ce=Math.abs(j.rightFullExtent-j.leftFullExtent-ie)<ie;return J.circularLinkType===\"top\"?(oe=\"M \"+(j.targetX-X)+\" \"+(j.targetY+ie)+\" L \"+(j.rightInnerExtent-X)+\" \"+(j.targetY+ie)+\"A \"+(j.rightLargeArcRadius+ie)+\" \"+(j.rightSmallArcRadius+ie)+\" 0 0 1 \"+(j.rightFullExtent-ie-X)+\" \"+(j.targetY-j.rightSmallArcRadius)+\"L \"+(j.rightFullExtent-ie-X)+\" \"+j.verticalRightInnerExtent,ee&&re?oe+=\" A \"+(j.rightLargeArcRadius+ie)+\" \"+(j.rightLargeArcRadius+ie)+\" 0 0 1 \"+(j.rightFullExtent+ie-X-(j.rightLargeArcRadius-ie))+\" \"+(j.verticalRightInnerExtent-(j.rightLargeArcRadius+ie))+\" L \"+(j.rightFullExtent+ie-(j.rightLargeArcRadius-ie)-X)+\" \"+(j.verticalRightInnerExtent-(j.rightLargeArcRadius+ie))+\" A \"+(j.leftLargeArcRadius+ie)+\" \"+(j.leftLargeArcRadius+ie)+\" 0 0 1 \"+(j.leftFullExtent+ie)+\" \"+j.verticalRightInnerExtent:ee?oe+=\" A \"+(j.rightLargeArcRadius-ie)+\" \"+(j.rightLargeArcRadius-ie)+\" 0 0 0 \"+(j.rightFullExtent-ie-X-(j.rightLargeArcRadius-ie))+\" \"+(j.verticalRightInnerExtent-(j.rightLargeArcRadius-ie))+\" L \"+(j.leftFullExtent+ie+(j.rightLargeArcRadius-ie))+\" \"+(j.verticalRightInnerExtent-(j.rightLargeArcRadius-ie))+\" A \"+(j.leftLargeArcRadius-ie)+\" \"+(j.leftLargeArcRadius-ie)+\" 0 0 0 \"+(j.leftFullExtent+ie)+\" \"+j.verticalLeftInnerExtent:oe+=\" A \"+(j.rightLargeArcRadius+ie)+\" \"+(j.rightLargeArcRadius+ie)+\" 0 0 1 \"+(j.rightInnerExtent-X)+\" \"+(j.verticalFullExtent-ie)+\" L \"+j.leftInnerExtent+\" \"+(j.verticalFullExtent-ie)+\" A \"+(j.leftLargeArcRadius+ie)+\" \"+(j.leftLargeArcRadius+ie)+\" 0 0 1 \"+(j.leftFullExtent+ie)+\" \"+j.verticalLeftInnerExtent,oe+=\" L \"+(j.leftFullExtent+ie)+\" \"+(j.sourceY-j.leftSmallArcRadius)+\" A \"+(j.leftLargeArcRadius+ie)+\" \"+(j.leftSmallArcRadius+ie)+\" 0 0 1 \"+j.leftInnerExtent+\" \"+(j.sourceY+ie)+\" L \"+j.sourceX+\" \"+(j.sourceY+ie)+\" L \"+j.sourceX+\" \"+(j.sourceY-ie)+\" L \"+j.leftInnerExtent+\" \"+(j.sourceY-ie)+\" A \"+(j.leftLargeArcRadius-ie)+\" \"+(j.leftSmallArcRadius-ie)+\" 0 0 0 \"+(j.leftFullExtent-ie)+\" \"+(j.sourceY-j.leftSmallArcRadius)+\" L \"+(j.leftFullExtent-ie)+\" \"+j.verticalLeftInnerExtent,ee&&re?oe+=\" A \"+(j.leftLargeArcRadius+ie)+\" \"+(j.leftSmallArcRadius+ie)+\" 0 0 0 \"+(j.leftFullExtent-ie)+\" \"+(j.verticalFullExtent+ie)+\"L\"+(j.rightFullExtent+ie-X)+\" \"+(j.verticalFullExtent+ie)+\" A \"+(j.leftLargeArcRadius+ie)+\" \"+(j.leftSmallArcRadius+ie)+\" 0 0 0 \"+(j.rightFullExtent+ie-X)+\" \"+j.verticalRightInnerExtent:ee?oe+=\" A \"+(j.leftLargeArcRadius+ie)+\" \"+(j.leftSmallArcRadius+ie)+\" 0 0 1 \"+(j.leftFullExtent+ie)+\" \"+(j.verticalFullExtent-ie)+\" L \"+(j.rightFullExtent-ie-X)+\" \"+(j.verticalFullExtent-ie)+\" A \"+(j.leftLargeArcRadius+ie)+\" \"+(j.leftSmallArcRadius+ie)+\" 0 0 1 \"+(j.rightFullExtent+ie-X)+\" \"+j.verticalRightInnerExtent:oe+=\" A \"+(j.leftLargeArcRadius-ie)+\" \"+(j.leftLargeArcRadius-ie)+\" 0 0 0 \"+j.leftInnerExtent+\" \"+(j.verticalFullExtent+ie)+\" L \"+(j.rightInnerExtent-X)+\" \"+(j.verticalFullExtent+ie)+\" A \"+(j.rightLargeArcRadius-ie)+\" \"+(j.rightLargeArcRadius-ie)+\" 0 0 0 \"+(j.rightFullExtent+ie-X)+\" \"+j.verticalRightInnerExtent,oe+=\" L \"+(j.rightFullExtent+ie-X)+\" \"+(j.targetY-j.rightSmallArcRadius)+\" A \"+(j.rightLargeArcRadius-ie)+\" \"+(j.rightSmallArcRadius-ie)+\" 0 0 0 \"+(j.rightInnerExtent-X)+\" \"+(j.targetY-ie)+\" L \"+(j.targetX-X)+\" \"+(j.targetY-ie)+(X>0?\" L \"+j.targetX+\" \"+j.targetY:\"\")+\"Z\"):(oe=\"M \"+(j.targetX-X)+\" \"+(j.targetY-ie)+\"  L \"+(j.rightInnerExtent-X)+\" \"+(j.targetY-ie)+\" A \"+(j.rightLargeArcRadius+ie)+\" \"+(j.rightSmallArcRadius+ie)+\" 0 0 0 \"+(j.rightFullExtent-ie-X)+\" \"+(j.targetY+j.rightSmallArcRadius)+\" L \"+(j.rightFullExtent-ie-X)+\" \"+j.verticalRightInnerExtent,ee&&re?oe+=\" A \"+(j.rightLargeArcRadius+ie)+\" \"+(j.rightLargeArcRadius+ie)+\" 0 0 0 \"+(j.rightInnerExtent-ie-X)+\" \"+(j.verticalFullExtent+ie)+\" L \"+(j.rightFullExtent+ie-X-(j.rightLargeArcRadius-ie))+\" \"+(j.verticalFullExtent+ie)+\" A \"+(j.rightLargeArcRadius+ie)+\" \"+(j.rightLargeArcRadius+ie)+\" 0 0 0 \"+(j.leftFullExtent+ie)+\" \"+j.verticalLeftInnerExtent:ee?oe+=\" A \"+(j.rightLargeArcRadius-ie)+\" \"+(j.rightSmallArcRadius-ie)+\" 0 0 1 \"+(j.rightFullExtent-X-ie-(j.rightLargeArcRadius-ie))+\" \"+(j.verticalFullExtent-ie)+\" L \"+(j.leftFullExtent+ie+(j.rightLargeArcRadius-ie))+\" \"+(j.verticalFullExtent-ie)+\" A \"+(j.rightLargeArcRadius-ie)+\" \"+(j.rightSmallArcRadius-ie)+\" 0 0 1 \"+(j.leftFullExtent+ie)+\" \"+j.verticalLeftInnerExtent:oe+=\" A \"+(j.rightLargeArcRadius+ie)+\" \"+(j.rightLargeArcRadius+ie)+\" 0 0 0 \"+(j.rightInnerExtent-X)+\" \"+(j.verticalFullExtent+ie)+\" L \"+j.leftInnerExtent+\" \"+(j.verticalFullExtent+ie)+\" A \"+(j.leftLargeArcRadius+ie)+\" \"+(j.leftLargeArcRadius+ie)+\" 0 0 0 \"+(j.leftFullExtent+ie)+\" \"+j.verticalLeftInnerExtent,oe+=\" L \"+(j.leftFullExtent+ie)+\" \"+(j.sourceY+j.leftSmallArcRadius)+\" A \"+(j.leftLargeArcRadius+ie)+\" \"+(j.leftSmallArcRadius+ie)+\" 0 0 0 \"+j.leftInnerExtent+\" \"+(j.sourceY-ie)+\" L \"+j.sourceX+\" \"+(j.sourceY-ie)+\" L \"+j.sourceX+\" \"+(j.sourceY+ie)+\" L \"+j.leftInnerExtent+\" \"+(j.sourceY+ie)+\" A \"+(j.leftLargeArcRadius-ie)+\" \"+(j.leftSmallArcRadius-ie)+\" 0 0 1 \"+(j.leftFullExtent-ie)+\" \"+(j.sourceY+j.leftSmallArcRadius)+\" L \"+(j.leftFullExtent-ie)+\" \"+j.verticalLeftInnerExtent,ee&&re?oe+=\" A \"+(j.rightLargeArcRadius-ie)+\" \"+(j.rightSmallArcRadius-ie)+\" 0 0 1 \"+(j.leftFullExtent-ie-(j.rightLargeArcRadius-ie))+\" \"+(j.verticalFullExtent-ie)+\" L \"+(j.rightFullExtent+ie-X+(j.rightLargeArcRadius-ie))+\" \"+(j.verticalFullExtent-ie)+\" A \"+(j.rightLargeArcRadius-ie)+\" \"+(j.rightSmallArcRadius-ie)+\" 0 0 1 \"+(j.rightFullExtent+ie-X)+\" \"+j.verticalRightInnerExtent:ee?oe+=\" A \"+(j.rightLargeArcRadius+ie)+\" \"+(j.rightLargeArcRadius+ie)+\" 0 0 0 \"+(j.leftFullExtent+ie)+\" \"+(j.verticalFullExtent+ie)+\" L \"+(j.rightFullExtent-X-ie)+\" \"+(j.verticalFullExtent+ie)+\" A \"+(j.rightLargeArcRadius+ie)+\" \"+(j.rightLargeArcRadius+ie)+\" 0 0 0 \"+(j.rightFullExtent+ie-X)+\" \"+j.verticalRightInnerExtent:oe+=\" A \"+(j.leftLargeArcRadius-ie)+\" \"+(j.leftLargeArcRadius-ie)+\" 0 0 1 \"+j.leftInnerExtent+\" \"+(j.verticalFullExtent-ie)+\" L \"+(j.rightInnerExtent-X)+\" \"+(j.verticalFullExtent-ie)+\" A \"+(j.rightLargeArcRadius-ie)+\" \"+(j.rightLargeArcRadius-ie)+\" 0 0 1 \"+(j.rightFullExtent+ie-X)+\" \"+j.verticalRightInnerExtent,oe+=\" L \"+(j.rightFullExtent+ie-X)+\" \"+(j.targetY+j.rightSmallArcRadius)+\" A \"+(j.rightLargeArcRadius-ie)+\" \"+(j.rightSmallArcRadius-ie)+\" 0 0 1 \"+(j.rightInnerExtent-X)+\" \"+(j.targetY+ie)+\" L \"+(j.targetX-X)+\" \"+(j.targetY+ie)+(X>0?\" L \"+j.targetX+\" \"+j.targetY:\"\")+\"Z\"),oe}function u(){var J=.5;function X(oe){var ie=oe.linkArrowLength;if(oe.link.circular)return p(oe.link,ie);var j=Math.abs((oe.link.target.x0-oe.link.source.x1)/2);ie>j&&(ie=j);var ee=oe.link.source.x1,re=oe.link.target.x0-ie,ce=x(ee,re),be=ce(J),Ae=ce(1-J),ze=oe.link.y0-oe.link.width/2,Re=oe.link.y0+oe.link.width/2,Xe=oe.link.y1-oe.link.width/2,it=oe.link.y1+oe.link.width/2,ot=\"M\"+ee+\",\"+ze,tt=\"C\"+be+\",\"+ze+\" \"+Ae+\",\"+Xe+\" \"+re+\",\"+Xe,lt=\"C\"+Ae+\",\"+it+\" \"+be+\",\"+Re+\" \"+ee+\",\"+Re,Ee=ie>0?\"L\"+(re+ie)+\",\"+(Xe+oe.link.width/2):\"\";return Ee+=\"L\"+re+\",\"+it,ot+tt+Ee+lt+\"Z\"}return X}function m(J,X){var oe=r(X.color),ie=t.nodePadAcross,j=J.nodePad/2;X.dx=X.x1-X.x0,X.dy=X.y1-X.y0;var ee=X.dx,re=Math.max(.5,X.dy),ce=\"node_\"+X.pointNumber;return X.group&&(ce=i.randstr()),X.trace=J.trace,X.curveNumber=J.trace.index,{index:X.pointNumber,key:ce,partOfGroup:X.partOfGroup||!1,group:X.group,traceId:J.key,trace:J.trace,node:X,nodePad:J.nodePad,nodeLineColor:J.nodeLineColor,nodeLineWidth:J.nodeLineWidth,textFont:J.textFont,size:J.horizontal?J.height:J.width,visibleWidth:Math.ceil(ee),visibleHeight:re,zoneX:-ie,zoneY:-j,zoneWidth:ee+2*ie,zoneHeight:re+2*j,labelY:J.horizontal?X.dy/2+1:X.dx/2+1,left:X.originalLayer===1,sizeAcross:J.width,forceLayouts:J.forceLayouts,horizontal:J.horizontal,darkBackground:oe.getBrightness()<=128,tinyColorHue:o.tinyRGB(oe),tinyColorAlpha:oe.getAlpha(),valueFormat:J.valueFormat,valueSuffix:J.valueSuffix,sankey:J.sankey,graph:J.graph,arrangement:J.arrangement,uniqueNodeLabelPathId:[J.guid,J.key,ce].join(\"_\"),interactionState:J.interactionState,figure:J}}function h(J){J.attr(\"transform\",function(X){return n(X.node.x0.toFixed(3),X.node.y0.toFixed(3))})}function P(J){J.call(h)}function L(J,X){J.call(P),X.attr(\"d\",u())}function z(J){J.attr(\"width\",function(X){return X.node.x1-X.node.x0}).attr(\"height\",function(X){return X.visibleHeight})}function F(J){return J.link.width>1||J.linkLineWidth>0}function B(J){var X=n(J.translateX,J.translateY);return X+(J.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function O(J,X,oe){J.on(\".basic\",null).on(\"mouseover.basic\",function(ie){!ie.interactionState.dragInProgress&&!ie.partOfGroup&&(oe.hover(this,ie,X),ie.interactionState.hovered=[this,ie])}).on(\"mousemove.basic\",function(ie){!ie.interactionState.dragInProgress&&!ie.partOfGroup&&(oe.follow(this,ie),ie.interactionState.hovered=[this,ie])}).on(\"mouseout.basic\",function(ie){!ie.interactionState.dragInProgress&&!ie.partOfGroup&&(oe.unhover(this,ie,X),ie.interactionState.hovered=!1)}).on(\"click.basic\",function(ie){ie.interactionState.hovered&&(oe.unhover(this,ie,X),ie.interactionState.hovered=!1),!ie.interactionState.dragInProgress&&!ie.partOfGroup&&oe.select(this,ie,X)})}function I(J,X,oe,ie){var j=A.behavior.drag().origin(function(ee){return{x:ee.node.x0+ee.visibleWidth/2,y:ee.node.y0+ee.visibleHeight/2}}).on(\"dragstart\",function(ee){if(ee.arrangement!==\"fixed\"&&(i.ensureSingle(ie._fullLayout._infolayer,\"g\",\"dragcover\",function(ce){ie._fullLayout._dragCover=ce}),i.raiseToTop(this),ee.interactionState.dragInProgress=ee.node,le(ee.node),ee.interactionState.hovered&&(oe.nodeEvents.unhover.apply(0,ee.interactionState.hovered),ee.interactionState.hovered=!1),ee.arrangement===\"snap\")){var re=ee.traceId+\"|\"+ee.key;ee.forceLayouts[re]?ee.forceLayouts[re].alpha(1):N(J,re,ee,ie),U(J,X,ee,re,ie)}}).on(\"drag\",function(ee){if(ee.arrangement!==\"fixed\"){var re=A.event.x,ce=A.event.y;ee.arrangement===\"snap\"?(ee.node.x0=re-ee.visibleWidth/2,ee.node.x1=re+ee.visibleWidth/2,ee.node.y0=ce-ee.visibleHeight/2,ee.node.y1=ce+ee.visibleHeight/2):(ee.arrangement===\"freeform\"&&(ee.node.x0=re-ee.visibleWidth/2,ee.node.x1=re+ee.visibleWidth/2),ce=Math.max(0,Math.min(ee.size-ee.visibleHeight/2,ce)),ee.node.y0=ce-ee.visibleHeight/2,ee.node.y1=ce+ee.visibleHeight/2),le(ee.node),ee.arrangement!==\"snap\"&&(ee.sankey.update(ee.graph),L(J.filter(he(ee)),X))}}).on(\"dragend\",function(ee){if(ee.arrangement!==\"fixed\"){ee.interactionState.dragInProgress=!1;for(var re=0;re<ee.node.childrenNodes.length;re++)ee.node.childrenNodes[re].x=ee.node.x,ee.node.childrenNodes[re].y=ee.node.y;ee.arrangement!==\"snap\"&&Q(ee,ie)}});J.on(\".drag\",null).call(j)}function N(J,X,oe,ie){G(oe.graph.nodes);var j=oe.graph.nodes.filter(function(ee){return ee.originalX===oe.node.originalX}).filter(function(ee){return!ee.partOfGroup});oe.forceLayouts[X]=d.forceSimulation(j).alphaDecay(0).force(\"collide\",d.forceCollide().radius(function(ee){return ee.dy/2+oe.nodePad/2}).strength(1).iterations(t.forceIterations)).force(\"constrain\",W(J,X,j,oe,ie)).stop()}function U(J,X,oe,ie,j){window.requestAnimationFrame(function ee(){var re;for(re=0;re<t.forceTicksPerFrame;re++)oe.forceLayouts[ie].tick();var ce=oe.graph.nodes;if($(ce),oe.sankey.update(oe.graph),L(J.filter(he(oe)),X),oe.forceLayouts[ie].alpha()>0)window.requestAnimationFrame(ee);else{var be=oe.node.originalX;oe.node.x0=be-oe.visibleWidth/2,oe.node.x1=be+oe.visibleWidth/2,Q(oe,j)}})}function W(J,X,oe,ie){return function(){for(var ee=0,re=0;re<oe.length;re++){var ce=oe[re];ce===ie.interactionState.dragInProgress?(ce.x=ce.lastDraggedX,ce.y=ce.lastDraggedY):(ce.vx=(ce.originalX-ce.x)/t.forceTicksPerFrame,ce.y=Math.min(ie.size-ce.dy/2,Math.max(ce.dy/2,ce.y))),ee=Math.max(ee,Math.abs(ce.vx),Math.abs(ce.vy))}!ie.interactionState.dragInProgress&&ee<.1&&ie.forceLayouts[X].alpha()>0&&ie.forceLayouts[X].alpha(0)}}function Q(J,X){for(var oe=[],ie=[],j=0;j<J.graph.nodes.length;j++){var ee=(J.graph.nodes[j].x0+J.graph.nodes[j].x1)/2,re=(J.graph.nodes[j].y0+J.graph.nodes[j].y1)/2;oe.push(ee/J.figure.width),ie.push(re/J.figure.height)}l.call(\"_guiRestyle\",X,{\"node.x\":[oe],\"node.y\":[ie]},J.trace.index).then(function(){X._fullLayout._dragCover&&X._fullLayout._dragCover.remove()})}function ue(J){var X=[],oe;for(oe=0;oe<J.length;oe++)J[oe].originalX=(J[oe].x0+J[oe].x1)/2,J[oe].originalY=(J[oe].y0+J[oe].y1)/2,X.indexOf(J[oe].originalX)===-1&&X.push(J[oe].originalX);for(X.sort(function(ie,j){return ie-j}),oe=0;oe<J.length;oe++)J[oe].originalLayerIndex=X.indexOf(J[oe].originalX),J[oe].originalLayer=J[oe].originalLayerIndex/(X.length-1)}function le(J){J.lastDraggedX=J.x0+J.dx/2,J.lastDraggedY=J.y0+J.dy/2}function he(J){return function(X){return X.node.originalX===J.node.originalX}}function G(J){for(var X=0;X<J.length;X++)J[X].y=(J[X].y0+J[X].y1)/2,J[X].x=(J[X].x0+J[X].x1)/2}function $(J){for(var X=0;X<J.length;X++)J[X].y0=J[X].y-J[X].dy/2,J[X].y1=J[X].y0+J[X].dy,J[X].x0=J[X].x-J[X].dx/2,J[X].x1=J[X].x0+J[X].dx}q.exports=function(J,X,oe,ie,j){var ee=J._context.staticPlot,re=!1;i.ensureSingle(J._fullLayout._infolayer,\"g\",\"first-render\",function(){re=!0});var ce=J._fullLayout._dragCover,be=oe.filter(function(lt){return v(lt).trace.visible}).map(y.bind(null,ie)),Ae=X.selectAll(\".\"+t.cn.sankey).data(be,f);Ae.exit().remove(),Ae.enter().append(\"g\").classed(t.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",ee?\"none\":\"auto\").attr(\"transform\",B),Ae.each(function(lt,Ee){J._fullData[Ee]._sankey=lt;var _e=\"bgsankey-\"+lt.trace.uid+\"-\"+Ee;i.ensureSingle(J._fullLayout._draggers,\"rect\",_e),J._fullData[Ee]._bgRect=A.select(\".\"+_e),J._fullData[Ee]._bgRect.style(\"pointer-events\",ee?\"none\":\"all\").attr(\"width\",lt.width).attr(\"height\",lt.height).attr(\"x\",lt.translateX).attr(\"y\",lt.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})}),Ae.transition().ease(t.ease).duration(t.duration).attr(\"transform\",B);var 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j=ue.h,ee=I.gauge.bar.thickness*j,re=le.x[0],ce=le.x[0]+(le.x[1]-le.x[0])*(I._hasNumber||I._hasDelta?1-i.bulletNumberDomainSize:1);$=u(z,I.gauge.axis),$._id=\"xbulletaxis\",$.domain=[re,ce],$.setScale(),J=s.calcTicks($),X=s.makeTransTickFn($),oe=s.getTickSigns($)[2],ie=ue.t+ue.h,$.visible&&(s.drawTicks(z,$,{vals:$.ticks===\"inside\"?s.clipEnds($,J):J,layer:U,path:s.makeTickPath($,ie,oe),transFn:X}),s.drawLabels(z,$,{vals:J,layer:U,transFn:X,labelFns:s.makeLabelFns($,ie)}));function be(tt){tt.attr(\"width\",function(lt){return Math.max(0,$.c2p(lt.range[1])-$.c2p(lt.range[0]))}).attr(\"x\",function(lt){return $.c2p(lt.range[0])}).attr(\"y\",function(lt){return .5*(1-lt.thickness)*j}).attr(\"height\",function(lt){return lt.thickness*j})}var Ae=[W].concat(I.gauge.steps),ze=N.selectAll(\"g.bg-bullet\").data(Ae);ze.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),ze.select(\"rect\").call(be).call(b),ze.exit().remove();var Re=N.selectAll(\"g.value-bullet\").data([I.gauge.bar]);Re.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),Re.select(\"rect\").attr(\"height\",ee).attr(\"y\",(j-ee)/2).call(b),w(he)?Re.select(\"rect\").transition().duration(he.duration).ease(he.easing).each(\"end\",function(){G&&G()}).each(\"interrupt\",function(){G&&G()}).attr(\"width\",Math.max(0,$.c2p(Math.min(I.gauge.axis.range[1],B[0].y)))):Re.select(\"rect\").attr(\"width\",typeof B[0].y==\"number\"?Math.max(0,$.c2p(Math.min(I.gauge.axis.range[1],B[0].y))):0),Re.exit().remove();var Xe=B.filter(function(){return 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c=o.year()+(i===\"y\"?a:0),f=o.monthOfYear()+(i===\"m\"?a:0),s=o.day(),g=function(l){for(;f<l.minMonth;)c--,f+=l.monthsInYear(c);for(var _=l.monthsInYear(c);f>_-1+l.minMonth;)c++,f-=_,_=l.monthsInYear(c)};i===\"y\"?(o.month()!==this.fromMonthOfYear(c,f)&&(f=this.newDate(c,o.month(),this.minDay).monthOfYear()),f=Math.min(f,this.monthsInYear(c)),s=Math.min(s,this.daysInMonth(c,this.fromMonthOfYear(c,f)))):i===\"m\"&&(g(this),s=Math.min(s,this.daysInMonth(c,this.fromMonthOfYear(c,f))));var v=[c,this.fromMonthOfYear(c,f),s];return this._validateLevel--,v}catch(T){throw this._validateLevel--,T}},_correctAdd:function(o,a,i,n){if(!this.hasYearZero&&(n===\"y\"||n===\"m\")&&(a[0]===0||o.year()>0!=a[0]>0)){var s={y:[1,1,\"y\"],m:[1,this.monthsInYear(-1),\"m\"],w:[this.daysInWeek(),this.daysInYear(-1),\"d\"],d:[1,this.daysInYear(-1),\"d\"]}[n],c=i<0?-1:1;a=this._add(o,i*s[0]+c*s[1],s[2])}return o.date(a[0],a[1],a[2])},set:function(o,a,i){this._validate(o,this.minMonth,this.minDay,r.local.invalidDate||r.regionalOptions[\"\"].invalidDate);var n=i===\"y\"?a:o.year(),s=i===\"m\"?a:o.month(),c=i===\"d\"?a:o.day();return(i===\"y\"||i===\"m\")&&(c=Math.min(c,this.daysInMonth(n,s))),o.date(n,s,c)},isValid:function(o,a,i){this._validateLevel++;var n=this.hasYearZero||o!==0;if(n){var s=this.newDate(o,a,this.minDay);n=a>=this.minMonth&&a-this.minMonth<this.monthsInYear(s)&&i>=this.minDay&&i-this.minDay<this.daysInMonth(s)}return this._validateLevel--,n},toJSDate:function(o,a,i){var n=this._validate(o,a,i,r.local.invalidDate||r.regionalOptions[\"\"].invalidDate);return r.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(o){return this.fromJD(r.instance().fromJSDate(o).toJD())},_validate:function(o,a,i,n){if(o.year){if(this._validateLevel===0&&this.name!==o.calendar().name)throw(r.local.differentCalendars||r.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this.local.name).replace(/\\{1\\}/,o.calendar().local.name);return o}try{if(this._validateLevel++,this._validateLevel===1&&!this.isValid(o,a,i))throw n.replace(/\\{0\\}/,this.local.name);var s=this.newDate(o,a,i);return this._validateLevel--,s}catch(c){throw this._validateLevel--,c}}});function t(o){this.local=this.regionalOptions[o]||this.regionalOptions[\"\"]}t.prototype=new 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n=this.newDate(o,a,i);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(o,a){var i=this._validate(o,a,this.minDay,r.local.invalidMonth||r.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[i.month()-1]+(i.month()===2&&this.leapYear(i.year())?1:0)},weekDay:function(o,a,i){return(this.dayOfWeek(o,a,i)||7)<6},toJD:function(o,a,i){var n=this._validate(o,a,i,r.local.invalidDate||r.regionalOptions[\"\"].invalidDate);o=n.year(),a=n.month(),i=n.day(),o<0&&o++,a<3&&(a+=12,o--);var s=Math.floor(o/100),c=2-s+Math.floor(s/4);return Math.floor(365.25*(o+4716))+Math.floor(30.6001*(a+1))+i+c-1524.5},fromJD:function(o){var a=Math.floor(o+.5),i=Math.floor((a-186721625e-2)/36524.25);i=a+1+i-Math.floor(i/4);var n=i+1524,s=Math.floor((n-122.1)/365.25),c=Math.floor(365.25*s),f=Math.floor((n-c)/30.6001),g=n-c-Math.floor(f*30.6001),v=f-(f>13.5?13:1),T=s-(v>2.5?4716:4715);return T<=0&&T--,this.newDate(T,v,g)},toJSDate:function(o,a,i){var n=this._validate(o,a,i,r.local.invalidDate||r.regionalOptions[\"\"].invalidDate),s=new Date(n.year(),n.month()-1,n.day());return s.setHours(0),s.setMinutes(0),s.setSeconds(0),s.setMilliseconds(0),s.setHours(s.getHours()>12?s.getHours()+2:0),s},fromJSDate:function(o){return this.newDate(o.getFullYear(),o.getMonth()+1,o.getDate())}});var r=q.exports=new x;r.cdate=A,r.baseCalendar=e,r.calendars.gregorian=t}}),JH=Ze({\"node_modules/world-calendars/dist/plus.js\"(){var Z=sh(),q=Sp();Z(q.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),q.local=q.regionalOptions[\"\"],Z(q.cdate.prototype,{formatDate:function(d,x){return typeof d!=\"string\"&&(x=d,d=\"\"),this._calendar.formatDate(d||\"\",this,x)}}),Z(q.baseCalendar.prototype,{UNIX_EPOCH:q.instance().newDate(1970,1,1).toJD(),SECS_PER_DAY:24*60*60,TICKS_EPOCH:q.instance().jdEpoch,TICKS_PER_DAY:24*60*60*1e7,ATOM:\"yyyy-mm-dd\",COOKIE:\"D, dd M yyyy\",FULL:\"DD, MM d, yyyy\",ISO_8601:\"yyyy-mm-dd\",JULIAN:\"J\",RFC_822:\"D, d M yy\",RFC_850:\"DD, dd-M-yy\",RFC_1036:\"D, d M yy\",RFC_1123:\"D, d M yyyy\",RFC_2822:\"D, d M yyyy\",RSS:\"D, d M yy\",TICKS:\"!\",TIMESTAMP:\"@\",W3C:\"yyyy-mm-dd\",formatDate:function(d,x,A){if(typeof d!=\"string\"&&(A=x,x=d,d=\"\"),!x)return\"\";if(x.calendar()!==this)throw q.local.invalidFormat||q.regionalOptions[\"\"].invalidFormat;d=d||this.local.dateFormat,A=A||{};for(var M=A.dayNamesShort||this.local.dayNamesShort,e=A.dayNames||this.local.dayNames,t=A.monthNumbers||this.local.monthNumbers,r=A.monthNamesShort||this.local.monthNamesShort,o=A.monthNames||this.local.monthNames,a=A.calculateWeek||this.local.calculateWeek,i=function(S,E){for(var y=1;w+y<d.length&&d.charAt(w+y)===S;)y++;return w+=y-1,Math.floor(y/(E||1))>1},n=function(S,E,y,b){var p=\"\"+E;if(i(S,b))for(;p.length<y;)p=\"0\"+p;return p},s=function(S,E,y,b){return i(S)?b[E]:y[E]},c=this,f=function(S){return typeof t==\"function\"?t.call(c,S,i(\"m\")):T(n(\"m\",S.month(),2))},g=function(S,E){return E?typeof o==\"function\"?o.call(c,S):o[S.month()-c.minMonth]:typeof r==\"function\"?r.call(c,S):r[S.month()-c.minMonth]},v=this.local.digits,T=function(S){return A.localNumbers&&v?v(S):S},l=\"\",_=!1,w=0;w<d.length;w++)if(_)d.charAt(w)===\"'\"&&!i(\"'\")?_=!1:l+=d.charAt(w);else switch(d.charAt(w)){case\"d\":l+=T(n(\"d\",x.day(),2));break;case\"D\":l+=s(\"D\",x.dayOfWeek(),M,e);break;case\"o\":l+=n(\"o\",x.dayOfYear(),3);break;case\"w\":l+=n(\"w\",x.weekOfYear(),2);break;case\"m\":l+=f(x);break;case\"M\":l+=g(x,i(\"M\"));break;case\"y\":l+=i(\"y\",2)?x.year():(x.year()%100<10?\"0\":\"\")+x.year()%100;break;case\"Y\":i(\"Y\",2),l+=x.formatYear();break;case\"J\":l+=x.toJD();break;case\"@\":l+=(x.toJD()-this.UNIX_EPOCH)*this.SECS_PER_DAY;break;case\"!\":l+=(x.toJD()-this.TICKS_EPOCH)*this.TICKS_PER_DAY;break;case\"'\":i(\"'\")?l+=\"'\":_=!0;break;default:l+=d.charAt(w)}return l},parseDate:function(d,x,A){if(x==null)throw q.local.invalidArguments||q.regionalOptions[\"\"].invalidArguments;if(x=typeof x==\"object\"?x.toString():x+\"\",x===\"\")return null;d=d||this.local.dateFormat,A=A||{};var M=A.shortYearCutoff||this.shortYearCutoff;M=typeof M!=\"string\"?M:this.today().year()%100+parseInt(M,10);for(var e=A.dayNamesShort||this.local.dayNamesShort,t=A.dayNames||this.local.dayNames,r=A.parseMonth||this.local.parseMonth,o=A.monthNumbers||this.local.monthNumbers,a=A.monthNamesShort||this.local.monthNamesShort,i=A.monthNames||this.local.monthNames,n=-1,s=-1,c=-1,f=-1,g=-1,v=!1,T=!1,l=function(P,L){for(var z=1;u+z<d.length&&d.charAt(u+z)===P;)z++;return u+=z-1,Math.floor(z/(L||1))>1},_=function(P,L){var z=l(P,L),F=[2,3,z?4:2,z?4:2,10,11,20][\"oyYJ@!\".indexOf(P)+1],B=new RegExp(\"^-?\\\\d{1,\"+F+\"}\"),O=x.substring(p).match(B);if(!O)throw(q.local.missingNumberAt||q.regionalOptions[\"\"].missingNumberAt).replace(/\\{0\\}/,p);return p+=O[0].length,parseInt(O[0],10)},w=this,S=function(){if(typeof o==\"function\"){l(\"m\");var P=o.call(w,x.substring(p));return p+=P.length,P}return _(\"m\")},E=function(P,L,z,F){for(var B=l(P,F)?z:L,O=0;O<B.length;O++)if(x.substr(p,B[O].length).toLowerCase()===B[O].toLowerCase())return p+=B[O].length,O+w.minMonth;throw(q.local.unknownNameAt||q.regionalOptions[\"\"].unknownNameAt).replace(/\\{0\\}/,p)},y=function(){if(typeof i==\"function\"){var P=l(\"M\")?i.call(w,x.substring(p)):a.call(w,x.substring(p));return p+=P.length,P}return E(\"M\",a,i)},b=function(){if(x.charAt(p)!==d.charAt(u))throw(q.local.unexpectedLiteralAt||q.regionalOptions[\"\"].unexpectedLiteralAt).replace(/\\{0\\}/,p);p++},p=0,u=0;u<d.length;u++)if(T)d.charAt(u)===\"'\"&&!l(\"'\")?T=!1:b();else switch(d.charAt(u)){case\"d\":f=_(\"d\");break;case\"D\":E(\"D\",e,t);break;case\"o\":g=_(\"o\");break;case\"w\":_(\"w\");break;case\"m\":c=S();break;case\"M\":c=y();break;case\"y\":var m=u;v=!l(\"y\",2),u=m,s=_(\"y\",2);break;case\"Y\":s=_(\"Y\",2);break;case\"J\":n=_(\"J\")+.5,x.charAt(p)===\".\"&&(p++,_(\"J\"));break;case\"@\":n=_(\"@\")/this.SECS_PER_DAY+this.UNIX_EPOCH;break;case\"!\":n=_(\"!\")/this.TICKS_PER_DAY+this.TICKS_EPOCH;break;case\"*\":p=x.length;break;case\"'\":l(\"'\")?b():T=!0;break;default:b()}if(p<x.length)throw q.local.unexpectedText||q.regionalOptions[\"\"].unexpectedText;if(s===-1?s=this.today().year():s<100&&v&&(s+=M===-1?1900:this.today().year()-this.today().year()%100-(s<=M?0:100)),typeof c==\"string\"&&(c=r.call(this,s,c)),g>-1){c=1,f=g;for(var h=this.daysInMonth(s,c);f>h;h=this.daysInMonth(s,c))c++,f-=h}return n>-1?this.fromJD(n):this.newDate(s,c,f)},determineDate:function(d,x,A,M,e){A&&typeof A!=\"object\"&&(e=M,M=A,A=null),typeof M!=\"string\"&&(e=M,M=\"\");var t=this,r=function(o){try{return t.parseDate(M,o,e)}catch{}o=o.toLowerCase();for(var 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m=0;m<p.length;m++)r(y,b,p[m]+\"calendar\",u.calendar)},a={chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},i={chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},n={chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},s=\"##\",c={d:{0:\"dd\",\"-\":\"d\"},e:{0:\"d\",\"-\":\"d\"},a:{0:\"D\",\"-\":\"D\"},A:{0:\"DD\",\"-\":\"DD\"},j:{0:\"oo\",\"-\":\"o\"},W:{0:\"ww\",\"-\":\"w\"},m:{0:\"mm\",\"-\":\"m\"},b:{0:\"M\",\"-\":\"M\"},B:{0:\"MM\",\"-\":\"MM\"},y:{0:\"yy\",\"-\":\"yy\"},Y:{0:\"yyyy\",\"-\":\"yyyy\"},U:s,w:s,c:{0:\"D 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