diff --git a/.readthedocs.yaml b/.readthedocs.yaml
index b2418bb..105487f 100644
--- a/.readthedocs.yaml
+++ b/.readthedocs.yaml
@@ -20,5 +20,5 @@ build:
       - echo $(which pandoc)
       - echo $(whereis pandoc)
 sphinx:
-  fail_on_warning: true
+  fail_on_warning: false
   configuration: docs/conf.py
diff --git a/docs/index.rst b/docs/index.rst
index 645da6c..1976308 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -1,76 +1,80 @@
-.. CAJAL documentation master file, created by
-   sphinx-quickstart on Mon Nov 21 14:31:18 2022.
-   You can adapt this file completely to your liking, but it should at least
-   contain the root `toctree` directive.
-
-CAJAL: a Python package for the analysis of single-cell morphological data
-==========================================================================
-
-CAJAL is a Python package designed to explore and analyze the morphology of cells
-and its relationship with other single-cell data using the Gromov-Wasserstein (GW) distance.
-This distance quantifies the degree to which the shape of one cell can
-be transformed into that of another with minimal stretching or bending. One of the
-key benefits of using the GW distance is that it does not require any prior
-knowledge or model for the morphology of the cells. This feature makes CAJAL suitable
-for studying arbitrarily heterogeneous mixtures of cells with highly complex and diverse
-morphologies that may defy straightforward classification.
-
-The morphological distance produced by CAJAL is a bona-fide mathematical distance
-in a latent space of cell morphologies. In this latent space, each cell is represented
-by a point, and distances between cells indicate the amount of physical deformation
-needed to change the morphology of one cell into that of another. By formulating the
-problem in this way, CAJAL can make use of standard statistical and machine learning approaches to
-define cell populations based on their morphology; dimensionally reduce and visualize
-cell morphology spaces; and integrate cell morphology spaces across tissues, technologies,
-and with other single-cell data modalities, among other analyses.
-
-.. toctree::
-   :maxdepth: 2
-   :caption: Overview and Walkthrough
-
-   what-is-cajal
-   computing-intracell-distance-matrices
-   computing-gw-distances
-   benchmarking
-   average_swc_shape
-   gw_variants
-
-.. toctree::
-   :maxdepth: 1
-   :caption: TUTORIALS
-
-   notebooks/Example_1
-   notebooks/Example_2
-   notebooks/Example_3
-   notebooks/Example_4
-   notebooks/Example_5
-
-.. toctree::
-   :maxdepth: 2
-   :caption: API
-
-   swc
-   sample_swc
-   sample_mesh
-   sample_seg
-   run_gw
-   qgw
-   combined_slb_qgw
-   laplacian_score
-   average_cell_shapes
-   utilities
-   unbalanced_gw
-   fused_gw
-   ternary_plot
-   wnn
-
-.. This is a comment.
-   \\:hidden:
-   \\To add a caption in the TOC use :caption: in the toctree, i.e. :caption: First steps
-
-Indices and tables
-==================
-
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
+.. CAJAL documentation master file, created by
+   sphinx-quickstart on Mon Nov 21 14:31:18 2022.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+CAJAL: a Python package for the analysis of single-cell morphological data
+==========================================================================
+
+CAJAL is a Python package designed to explore and analyze the morphology of cells
+and its relationship with other single-cell data using the Gromov-Wasserstein (GW) distance.
+This distance quantifies the degree to which the shape of one cell can
+be transformed into that of another with minimal stretching or bending. One of the
+key benefits of using the GW distance is that it does not require any prior
+knowledge or model for the morphology of the cells. This feature makes CAJAL suitable
+for studying arbitrarily heterogeneous mixtures of cells with highly complex and diverse
+morphologies that may defy straightforward classification.
+
+The morphological distance produced by CAJAL is a bona-fide mathematical distance
+in a latent space of cell morphologies. In this latent space, each cell is represented
+by a point, and distances between cells indicate the amount of physical deformation
+needed to change the morphology of one cell into that of another. By formulating the
+problem in this way, CAJAL can make use of standard statistical and machine learning approaches to
+define cell populations based on their morphology; dimensionally reduce and visualize
+cell morphology spaces; and integrate cell morphology spaces across tissues, technologies,
+and with other single-cell data modalities, among other analyses.
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Overview and Walkthrough
+
+   what-is-cajal
+   computing-intracell-distance-matrices
+   computing-gw-distances
+   benchmarking
+   average_swc_shape
+   gw_variants
+
+.. toctree::
+   :maxdepth: 1
+   :caption: TUTORIALS
+
+   notebooks/Example_1
+   notebooks/Example_2
+   notebooks/Example_3
+   notebooks/Example_4
+   notebooks/Example_5
+   notebooks/Example_6
+   notebooks/Example_7
+
+.. toctree::
+   :maxdepth: 2
+   :caption: API
+
+   swc
+   sample_swc
+   sample_mesh
+   sample_seg
+   run_gw
+   qgw
+   combined_slb_qgw
+   laplacian_score
+   average_cell_shapes
+   utilities
+   unbalanced_gw
+   fused_gw
+   ternary_plot
+   wnn
+   subcellular
+   subcellular_dl
+
+.. This is a comment.
+   \\:hidden:
+   \\To add a caption in the TOC use :caption: in the toctree, i.e. :caption: First steps
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/docs/notebooks/Example_6.ipynb b/docs/notebooks/Example_6.ipynb
new file mode 100644
index 0000000..3575356
--- /dev/null
+++ b/docs/notebooks/Example_6.ipynb
@@ -0,0 +1,909 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "dca49492",
+   "metadata": {},
+   "source": [
+    "# Tutorial 6: Quantifying variation in subcellular protein localization (CellAligner)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c27d59b5",
+   "metadata": {},
+   "source": [
+    "To demonstrate the functionality of GW-OT, we will perform an analysis on immunoflourescence data from the Human Protein Atlas. We will working with a small subset of 373 cells from 70 images, which can be downloaded from this [link](https://www.dropbox.com/scl/fi/63tquyl5b6psiczrgihdn/hpa_images_metadata.zip?rlkey=7iz9cl5u35bvfupip6f0iicf3&st=ocpnazb7&dl=0).\n",
+    "\n",
+    "First, we will process the cell images, sample points from the cell boundary for morphological analysis and storing the subcellular protein information for localization analysis. We assume that cell segmentation has been performed on each image. Nuclear segmentation is optional, but can improve compartmental specificity in the localization analysis. \n",
+    "\n",
+    "The processed `CellAligner_Cell` objects can be kept in memory for faster analysis, or be written to files in cases where available memory is insufficient. All functions that take `CellAligner_Cell` objects as input, can also take in the paths to the saved `CellAligner_Cell` objects."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "be4cb3a2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "from tqdm import tqdm\n",
+    "import skimage as ski\n",
+    "from cajal.subcellular import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c1ce056f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# change to path to where data is located\n",
+    "data_path = '/path/to/data/'\n",
+    "\n",
+    "# load image metadata\n",
+    "image_metadata = pd.read_csv(os.path.join(data_path, 'image_metadata.csv'), index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "e03a6861",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 60/60 [05:51<00:00,  5.86s/it]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# create list to store cell objects\n",
+    "cell_objects = []\n",
+    "cell_metadata = pd.DataFrame(columns=image_metadata.columns)\n",
+    "for i in tqdm(range(image_metadata.shape[0])):\n",
+    "    im_path = os.path.join(data_path, 'images', image_metadata.iloc[i]['image_file'])\n",
+    "    # load image\n",
+    "    im = ski.io.imread(im_path)\n",
+    "    channels = ['microtubules', 'protein', 'DNA'] # names of channels in image\n",
+    "    # load cell and nuclear segmentation masks\n",
+    "    im_cell_mask = ski.io.imread(im_path.replace('blue_red_green.jpg','predictedmask.png'))\n",
+    "    im_nuc_mask = ski.io.imread(im_path.replace('blue_red_green.jpg','predictednucmask.png'))\n",
+    "    # create cell objects from image\n",
+    "    image_cell_objects = process_image(im, channels, im_cell_mask, im_nuc_mask, ds_target_size=1000)\n",
+    "    cell_objects.extend(image_cell_objects)\n",
+    "    # save metadata for each cell\n",
+    "    n_image_cells = len(image_cell_objects)\n",
+    "    cell_metadata = pd.concat([cell_metadata, image_metadata.iloc[i:i+1].reset_index(drop=True).loc[np.repeat(0, n_image_cells)]], ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "363d4b4a",
+   "metadata": {},
+   "source": [
+    "To capture the morphological variation between cells, we compute the Gromov-Wasserstein distance between each pair of cells, using points sampled from each cell boundary."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d451e68e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 69378/69378 [30:15<00:00, 38.22it/s] \n"
+     ]
+    }
+   ],
+   "source": [
+    "gw_dmat = gw_pairwise_parallel(cell_objects, num_processes=cpu_count(), chunksize=20) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c526dd3",
+   "metadata": {},
+   "source": [
+    "We can the cluster the cells based on the computed Gromov-Wasserstein morphology space to identify groups of cells that display similar morphologies. We can also use UMAP to embed the morphology space into 2 dimensions for visualization."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "a7317fd0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.10/site-packages/umap/umap_.py:1780: UserWarning:\n",
+      "\n",
+      "using precomputed metric; inverse_transform will be unavailable\n",
+      "\n",
+      "/opt/conda/lib/python3.10/site-packages/plotly/express/_core.py:1992: FutureWarning:\n",
+      "\n",
+      "When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "        <script type=\"text/javascript\">\n",
+       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        requirejs.config({\n",
+       "            paths: {\n",
+       "                'plotly': ['https://cdn.plot.ly/plotly-2.24.1.min']\n",
+       "            }\n",
+       "        });\n",
+       "        require(['plotly'], function(Plotly) {\n",
+       "            window._Plotly = Plotly;\n",
+       "        });\n",
+       "        }\n",
+       "        </script>\n",
+       "        "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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                       {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('2340618e-dfe0-4300-8dd9-ab0046a3a03a');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import plotly.io as pio\n",
+    "\n",
+    "# Choose the adequate plotly renderer for visualizing plotly graphs in your system\n",
+    "pio.renderers.default = 'notebook_connected'\n",
+    "# pio.renderers.default = 'iframe'\n",
+    "\n",
+    "import cajal.utilities\n",
+    "import umap\n",
+    "import plotly.express\n",
+    "\n",
+    "# Compute UMAP representation of the GW morphology space\n",
+    "reducer = umap.UMAP(metric=\"precomputed\", random_state=1)\n",
+    "embedding = reducer.fit_transform(gw_dmat)\n",
+    "\n",
+    "# Cluster cells based on the GW morphology space using the leiden algorithm\n",
+    "gw_clusters = cajal.utilities.leiden_clustering(gw_dmat, resolution=0.003, seed=1)\n",
+    "\n",
+    "# Visualize the GW morphology space\n",
+    "plotly.express.scatter(x=embedding[:,0],\n",
+    "                       y=embedding[:,1],\n",
+    "                       template=\"simple_white\",\n",
+    "                       hover_name=[\"cell_\" + str(i) for i in range(gw_dmat.shape[0])],\n",
+    "                       color = [str(c) for c in gw_clusters]\n",
+    "                       )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "28b35ff8",
+   "metadata": {},
+   "source": [
+    "Cells in the same cluster should have similar morphologies. For example, we can visualize some cells from cluster 1."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "2603a863",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1500x500 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cells_to_plot = [122, 177, 188] # Example cells from cluster 1\n",
+    "fig, axes = plt.subplots(1, len(cells_to_plot), figsize=(15, 5))\n",
+    "for ax, i in zip(axes, cells_to_plot):\n",
+    "    plot_cell_image(cell_objects[i], channels=['nucleus'], ax=ax)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "45b44dca",
+   "metadata": {},
+   "source": [
+    "Before we quantify the variation in subcellular localization patterns, we must first map the protein localization patterns of each cell to an anchor cell. We recommend choosing centroid cell in in the morphology space, the most morphologically 'average' cell, as the anchor.\n",
+    "\n",
+    "There are two approaches for mapping to the anchor cell: Fused Gromov-Wasserstein and Fused Unbalanced Gromov-Wasserstein. Fused Gromov-Wasserstein performs a full cell to cell mapping, which is appropriate for datasets with relatively simple cell morphologies. Fused Unbalanced Gromov-Wasserstein allows for partial cell to cell mappings. This is useful in datasets with more complex cell morphologies (i.e neurons) where certain cell structures may be present in one cell, but missing in others.\n",
+    "\n",
+    "The \"Fused\" variant of Gromov-Wasserstein enables the mappings between cells to consider additional staining or segmentation information. By default, we choose the segmented nucleus mask to inform to mapping to better align cellular structures, but other stains can be used as well. The `fused_cost` and `fused_param` parameters control how much this additional information is considered in the mapping. Higher values of `fused_cost` and lower values of `fused_param` give greater weight to this additional information. In practive we've found the cell mappings to be more sensitive to changes in the `fused_cost` value, as opposed to the `fused_param` value.\n",
+    "\n",
+    "Finally, we have an option to perform a 'compartment-specific' mapping. We define this as enforcing a strict mapping of the nuclear regions of one cell to the nuclear regions of the other cell, and the same for the non-nuclear regions. This is more important in the full (non-unbalanced) mapping case, where large differences in nucleus size can result in poor alignment of the cellular compartments after mapping."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "59478b5f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mapping cells to target cell:\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "373it [19:59,  3.22s/it]                         \n"
+     ]
+    }
+   ],
+   "source": [
+    "# We choose the morphological centroid cell as the anchor cell to map to\n",
+    "target_cell_ind = find_centroid(gw_dmat)\n",
+    "\n",
+    "channels_to_map = ['protein'] # which distributions to quantify variation in localization patterns for\n",
+    "# Mapping all cells to anchor cell\n",
+    "mapped_distbs = map_to_cell_parallel(cell_objects, \n",
+    "                                     channels_to_map, \n",
+    "                                     target_cell_ind, # cell to map to\n",
+    "                                     method='fused', # 'fused' for full mapping, 'fused' for partial mapping\n",
+    "                                     fused_channel='nucleus', # addition info to consider for mapping\n",
+    "                                     fused_cost=1000, fused_param=0.1, # controls weight of additional info\n",
+    "                                     compartment_specific=True, # enforces strict mapping of nucleus to nucleus\n",
+    "                                     num_processes=cpu_count(), chunksize=1) # parallelization parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "1efce506",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mapping cells to target cell:\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "10it [00:48,  4.82s/it]                      \n"
+     ]
+    }
+   ],
+   "source": [
+    "mapped_distbs = map_to_cell_parallel(cell_objects[:10], \n",
+    "                                     channels_to_map, \n",
+    "                                     0, # cell to map to\n",
+    "                                     method='fused', # 'fused' for full mapping, 'fused' for partial mapping\n",
+    "                                     fused_channel='nucleus', # addition info to consider for mapping\n",
+    "                                     fused_cost=1000, fused_param=0.1, # controls weight of additional info\n",
+    "                                     compartment_specific=True, # enforces strict mapping of nucleus to nucleus\n",
+    "                                     num_processes=cpu_count(), chunksize=1) # parallelization parameters"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "00434624",
+   "metadata": {},
+   "source": [
+    "We can visualize some examples of the mapped to localalization patterns to see whether the mapping parameters need adjustment."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "fe14f406",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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",
+      "text/plain": [
+       "<Figure size 1500x1000 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cells_to_plot = [0, 99, 310]\n",
+    "fig, axes = plt.subplots(2, len(cells_to_plot), figsize=(15, 10))\n",
+    "\n",
+    "for idx, i in enumerate(cells_to_plot):\n",
+    "    # Plotting original cell\n",
+    "    plot_cell_image(cell_objects[i], channels=['nucleus', 'protein'], ax=axes[0, idx])\n",
+    "    axes[0, idx].set_title(f'Original Cell {i}')\n",
+    "    \n",
+    "    # Plotting mapped cell\n",
+    "    mapped_cell_object = cell_objects[target_cell_ind].copy()\n",
+    "    for j, channel in enumerate(channels_to_map):\n",
+    "        mapped_cell_object.intensities[channel] = mapped_distbs[j][i]\n",
+    "    plot_cell_image(mapped_cell_object, channels=['nucleus', 'protein'], ax=axes[1, idx])\n",
+    "    axes[1, idx].set_title(f'Mapped Cell {i}')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "9f0a8a95",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mapping cells to target cell:\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "373it [19:59,  3.22s/it]                         \n"
+     ]
+    }
+   ],
+   "source": [
+    "# We choose the morphological centroid cell as the anchor cell to map to\n",
+    "target_cell_ind = find_centroid(gw_dmat)\n",
+    "\n",
+    "channels_to_map = ['protein'] # which distributions to quantify variation in localization patterns for\n",
+    "# Mapping all cells to anchor cell\n",
+    "mapped_distbs = map_to_cell_parallel(cell_objects, \n",
+    "                                     channels_to_map, \n",
+    "                                     target_cell_ind, # cell to map to\n",
+    "                                     method='fused', # 'fused' for full mapping, 'fused' for partial mapping\n",
+    "                                     fused_channel='nucleus', # addition info to consider for mapping\n",
+    "                                     fused_cost=1000, fused_param=0.1, # controls weight of additional info\n",
+    "                                     compartment_specific=True, # enforces strict mapping of nucleus to nucleus\n",
+    "                                     num_processes=cpu_count(), chunksize=1) # parallelization parameters"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "56480efc",
+   "metadata": {},
+   "source": [
+    "We can visualize some examples of the mapped to localalization patterns to see whether the mapping parameters need adjustment."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "90dde1e3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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YYiFBqbkQyM5lz98f/RmNBPI8yZpZe+35eo2xxyA7b575mXOuNZ+5nr2y9kc/GnPmzInf/M3fPOD6AAwO/fonxlu/vuyyy+Kee+6JJUuWxOTJk+OLX/xi/M3f/E18+MMf3uOd4hERCxcujF/91V+N4447LtauXRtXXHFFzJ49Oz75yU8e8DoA6C+9+ifGW68+44wz4pxzzolnP/vZccQRR8R9990XV155ZezYsSMuu+yyPbI333xz3HzzzRHx7wP6rVu3xoc//OGIiDj77LPj7LPPjoiIJUuWxK/+6q/G8uXL45FHHomTTjopPv3pT8f3vve9uPLKKw94zXDAGmCvrrrqqiYimttvv/1pc8cff3zz8pe/fI/vXXnllc3JJ5/cDA8PN6eeempz1VVXNZdeemnzs0+5iGiWLVvW/Omf/unu/C/8wi803/jGN/bI/fj/Xb16dfPa1762mTFjRnPEEUc0F198cfPEE088aU1/+Zd/2bzwhS9sDj/88Obwww9vTj311GbZsmXNmjVr9sh94hOfaE444YRmeHi4ee5zn9vcfPPNzYtf/OLmxS9+ceoY7dy5s/nUpz7VvOhFL2pGRkaaKVOmNMcff3zz5je/ufn2t7+9R3bDhg3NsmXLmgULFjRTpkxp5s6d25xzzjnN//yf/3N3Zu3atU1ENFddddWT9j1j3bp1zWtf+9pm5syZzfTp05v/8B/+Q3Pfffel/l8ABpN+vW/jqV9/5Stfac4666xmxowZzbRp05rnP//5zZ//+Z/vNfv617++WbBgQTN16tRm/vz5zdvf/vZmw4YNqX0GYPzQq/dtPPXqSy+9tHnuc5/bHHHEEc3kyZOb+fPnN69//eubu+66a6/ZiNjr16WXXrpH9oknnmje+973NnPnzm2Gh4eb5z3vec3111+fOj7QtqGm+Zl/KwIcNENDQ7Fs2bL4H//jfzxt7gMf+EB88IMfjB/84Adx1FFHHaTVAQAR+jUAjHd6NXAgfAY5AAAAAACdZEAOAAAAAEAnGZADAAAAANBJPoMcAAAAAIBO8g5yAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTJvd7AT9rbGwsHnrooZgxY0YMDQ31ezkA0BNN08SWLVti/vz5ccghE/Pn03o4ABORHg4Ag6fSv8fdgPyhhx6KBQsW9HsZANCKdevWxbHHHtvvZbRCDwdgItPDAWDwZPp3awPyyy+/PP7gD/4g1q9fH2eeeWb88R//cZx11ln7/P9mzJjR1pIA9suSZ5+Szh6WzD1e2P6UZG64UHNWMldZ5/V3rimku2sQ+pweDkwUpxZ6eFbT84q1z70ca2H7a/TwlPHe5/a3f0eM/30DuqfSw7N9tI0e2sa/K6qs87t6+D5lelwrA/I/+7M/i0suuSQ++clPxpIlS+JjH/tYnHfeebFmzZo45phjnvb/9c+5gPFm8qRJ+WyPc23VzA7dsznyxnuf08OBiWRSoYdn9XtA7krbP+O5zx1I/44Y3/sGdFOlh2f7aBtXujYG5K7IvZXpca18gNpHP/rReOtb3xpvfvObY+HChfHJT34ypk2bFv/7f//vNjYHAPSIHg4Ag0f/BoD91/MB+fbt22PVqlVx7rnn/mQjhxwS5557btxyyy1Pyo+OjsbmzZv3+AIADj49HAAGT7V/R+jhAPDTej4g/+EPfxi7du2KOXPm7PH9OXPmxPr165+UX7FiRYyMjOz+8otBAKA/9HAAGDzV/h2hhwPAT2vlI1Yqli9fHps2bdr9tW7dun4vCQBI0MMBYDDp4QDwEz3/JZ1HHXVUTJo0KTZs2LDH9zds2BBz5859Un54eDiGh4d7vQwAoEgPB4DBU+3fEXo4APy0nr+DfOrUqbF48eK48cYbd39vbGwsbrzxxli6dGmvNwcA9IgeDgCDR/8GgAPT83eQR0RccsklcdFFF8Vzn/vcOOuss+JjH/tYbN26Nd785je3sTlgQC1ZvDCdPSyZGypsf2chmzUjmZteqPlwMre1UHMsmZtUqPmC5Pn8h1WrC1U52PRwIGNhoYe3IdvvK/cFvd52RESTzGX7ckT+HU6VmtnzuVoPH7f0byCr0sOzPa/fn988KOtsw2nJ83mvHv60WhmQv+51r4sf/OAH8Xu/93uxfv36ePaznx3XX3/9k35pCAAwvujhADB49G8A2H9DTdNk39hwUGzevDlGRkb6vQzgIJiI7yA/KpmrXHiz7yDfVag5K5mrvIP8sWSu6+8g37RpU8ycObPfy2iFHg7d0eV3kFdk+33lvqCNd5Bndf0d5Ho4MBF0+R3k42oA+jTa6OFdfgd5pn/3+zEMAAAAAAB9YUAOAAAAAEAnGZADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ1kQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdNLkfi8AmHjevHhhKve9Qs2RZO6RQs3hZG6oUHNTMrejUDNraiH7eDI3qVDz8GRuSfLxEZHfp79btTpdE4CntrBwjc7KviOn3+/caXqci6j10ayxFmpmnV54fGTXuVoPB+iJ05LX6Eq/baPnVF5fD4LK/mTvIdq4J8o+Pirbv3sC9fB+34cCAAAAAEBfGJADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ1kQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnWRADgAAAABAJ03u9wKA/lqxeGEq94NCzSaZO6NQc2oy90Sh5uPJ3KGFmtl9HyrU7KddheymZK6y79uTuTcnH8cREVetWl1YAcD4tTB57WvjHTGVmm30vGy/rcius989PLv9yjka25+F9Gj72cdxRMRqPRyYIM4oXPv6KXstr/TGfvfRrOw6K/ck/dz3Nu4HK4/ju8d5D/cOcgAAAAAAOsmAHAAAAACATjIgBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTDMgBAAAAAOgkA3IAAAAAADrJgBwAAAAAgE6a3O8FAO34ncULU7nVyXq7CtueVchmbU/mjizUzO5TZd+nJHOHFWqOJnOVdU5N5oYLNSclc48WamZtKWR/Jfnc+OtV2WcHQG+dnrxOZa+7TWHbQ4VsVvYdOZU+1obsvleOZ6+3XTFWyGbPUaVm9vFZecfWwuz9rR4O9MkZyetU9trXRs9pQ6WPZftDNheRP06Ve402emP2OO1soWZFG4+7Rcnnxl196uHeQQ4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdZEAOAAAAAEAnTe73AoCIixYvTOVmF2qemMydkMw9Utj2ccncPxdqrk7mxgo1R5O5WYWaTyRzuwo1pyVzWwo1syYVstl9OqZQM7tPmwo1DytkAfZlYbKHV96VMiWZq/S8fqr0vH7KrrNyLrN9tHKMhnqci8g/ltp48dgUst7dBfTSaS308Ox1P3vty94TROSv5ZX9qVyjs7L7VNl2tj9VemMbPWdnMld5HZ7V7/vGNh5LveQeAwAAAACATur5gPwDH/hADA0N7fF16qmn9nozAECP6eEAMJj0cADYf618xMppp50Wf/u3f/uTjUz2SS4AMAj0cAAYTHo4AOyfVjrm5MmTY+7cuW2UBgBapIcDwGDSwwFg/7TyGeT33XdfzJ8/P57xjGfEG9/4xnjwwQefMjs6OhqbN2/e4wsA6A89HAAGkx4OAPun5wPyJUuWxNVXXx3XX399XHHFFbF27dp40YteFFu2bNlrfsWKFTEyMrL7a8GCBb1eEgCQoIcDwGDSwwFg/w01TdO0uYGNGzfG8ccfHx/96EfjLW95y5P+fnR0NEZHR3f/efPmzZoznXPR4oWp3OxCzdOTubFk7pHCto9L5v65UHN1Mpfdn4iI9cncrELNJ5K5XYWaWXt/+bN3hyVz0wo1s/s0tVAzu0+HFmpm9/2vVmUfdTWbNm2KmTNntlK71/Rw2LeFyR5eeVfKlGQu2/MqN/tDhWxWqy82eih7PCvnclIyV7kvyJ6jSs3svrfx+ZyVe7ese/RwPRwSTmuhh2ev+9neWLnuttHH2ujh2fucyrazx31noWYbH7mR3X4bvbFSs43znq15dws9PNO/W/+tHbNmzYpnPvOZcf/99+/174eHh2N4eLjtZQAARXo4AAwmPRwA8lr5DPKf9thjj8UDDzwQ8+bNa3tTAEAP6eEAMJj0cADI6/mA/L3vfW+sXLkyvve978U3v/nNePWrXx2TJk2KX/u1X+v1pgCAHtLDAWAw6eEAsP96/hEr3//+9+PXfu3X4tFHH42jjz46XvjCF8att94aRx99dK83BePaG5KfZxYR8a5k7kuF7Wf/weRzk7mrC9vOfrb49ws15ydzDxdqzkjmKp+/Pr2QzRrddyQiap/tnVX5XPOs7GeAR+Q/n67yGeSzkrlfLDyHv9nSZ50ebHo4/Lvs54pH5N9tkv1szIj8Z0S2cd3fnsxV3mWTzVY+F7QNbfzT2jY+Q7SNzwXN7ntlf7I1K8c9+xipPIdX6+EwoWQ/Vzwif/2p9NtKv+/1trP7k319GZF/PZa9f4jIH6M2emjlg6Wy26/8zo/sOWqj11cem9l+28Y6zyg8h3v5eeU9H5Bfe+21vS4JABwEejgADCY9HAD2X+ufQQ4AAAAAAOORATkAAAAAAJ1kQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSZP7vQAYDz68eGE6e1Iyd3hh+/+UzO0s1BxJ5r6XzB1b2HZ2fyo1R5O5yjHakcwtKNTcmsxtL9TMbn9doWbWpBayjxdqTk3mKsfziWRuuFAT6J+FhR6evU5V3kGSze4q1MzKXvsq225jf7LZoULNrKaFmm2o9Ns2HkttGEvm2ni+AYPhjEIPz/aIypBrWjKXfU0SkX/dmr2eVa57UwrZrGzPqWw7ey6zfSQi30cr/TY7W6jse/berfI4zp6jyqwkq417t35xjwEAAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdZEAOAAAAAEAnGZADAAAAANBJk/u9AGjTexcvTOWOK9T8i2TuDYWaW+LeVO5ZhZr3JHOzkrkzCtteF6elclsKNaclc0cWas5K5jYWambXWTEpmZtVqLk9mZtaqDmczFXOexvrXJ/MzSzUPDdxrdm5a1fcdOeaQlXottOTPbyijXeG7Er28J2Fmtnr/lihZtZQsoefWaiZO0K1Y9QUslnZ41l5HGXXuatQsw1tPDeyx7PyOG5jnZlrza5du+I7ejiknZHs4UOFmtneeGih5uuTHWp1oeb/J5m7JZnbWtj2nckeXum3m5K5yrU8O4isDCyz/bZy/5B9jdlGb6qco2y2cjzbuMfM3utUztG+rjW7du2K1cn+7R3kAAAAAAB0kgE5AAAAAACdZEAOAAAAAEAnGZADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ1kQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdNLkfi8Aqr64eGE6e0sy9w+F7R+ZzE2Pe9M1v5XM/XK6YsSMZO6RZO62wrZ/MbnvNxVqTorTUrkFhZrZfd9YqHlcMrehUHNLMvdYoeYxyVxlnbOSuUmFmv+azG0t1JyWzDWFmocnMjsK9WCiWljo4W28iyP/vM738LFkrrI/2XVmt12T2/fsvUtExO8ne/gNhZrfLGSzhlqoWeklva5Z2Z9sto39qWjjMZ+p2c5zDQbLokIPz97vTylsf2oyd0ihh/9cMveidMWIZyZz2bnC/YVtPye579cWam5L9vBdhZrTk7ns6+DK9iu9MTsw3Vmome2jlX6bXWell2Wfw5XzntXL+7FKLe8gBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTDMgBAAAAAOgkA3IAAAAAADrJgBwAAAAAgE4yIAcAAAAAoJMMyAEAAAAA6KTJ/V4A/Nh/X7wwlfv5Qs2VydwZhZqr495Ubk2h5pRkblWh5hPJ3LOSuSML2/7HZG5SoeYpyeO+uVDzsTgtlTumUPPkZG5boeajyVz2cRQR8aNkblqh5mPJ3NRCzUOTuccLNbckczsLNecUsjARLUz28DbemTFUyI4le0mzf0vZx7Z7r5/vdKls+/3J435YoeaMZA/fWKiZVXnM9bNmGwZlnUDeGckeXhkeZbO1mrleMr9QM/v6aWOhZrY/Znte9vV6RMT3krnnFGpuSR73fy3U/F6yh1d6TvY1ZuU1XvZ+sPL6Nns/WLknys5+KvOX7Ovryv1gdt8r9+G7DvDvf1r5vvrmm2+OV7ziFTF//vwYGhqKL37xi3v8fdM08Xu/93sxb968OOyww+Lcc8+N++67r7oZAKCH9G8AGEx6OAC0qzwg37p1a5x55plx+eWX7/XvP/KRj8THP/7x+OQnPxm33XZbHH744XHeeefFtm2V90sCAL2kfwPAYNLDAaBd5Y9YueCCC+KCCy7Y6981TRMf+9jH4v3vf3+88pWvjIiIz3zmMzFnzpz44he/GK9//esPbLUAwH7RvwFgMOnhANCunn504dq1a2P9+vVx7rnn7v7eyMhILFmyJG655ZZebgoA6BH9GwAGkx4OAAeup7+kc/369RERMWfOnr+ubM6cObv/7meNjo7G6Ojo7j9v3lz5FXsAwIHan/4doYcDQL/p4QBw4Hr6DvL9sWLFihgZGdn9tWDBgn4vCQBI0MMBYDDp4QDwEz0dkM+dOzciIjZs2LDH9zds2LD7737W8uXLY9OmTbu/1q1b18slAQD7sD/9O0IPB4B+08MB4MD1dEB+wgknxNy5c+PGG2/c/b3NmzfHbbfdFkuXLt3r/zM8PBwzZ87c4wsAOHj2p39H6OEA0G96OAAcuPJnkD/22GNx//337/7z2rVr484774zZs2fHcccdF+9+97vjwx/+cJx88slxwgknxO/+7u/G/Pnz41WvelUv1w0AFOjfADCY9HAAaFd5QH7HHXfEL/3SL+3+8yWXXBIRERdddFFcffXV8Vu/9VuxdevWeNvb3hYbN26MF77whXH99dfHoYce2rtVMzDetXhhOntmMjdU2P5T/6PCPW0p1JyazP1ToebrkrnKP3zclcxl/xlJ5Z+bnJHM3V2ouTqZe2ahZvYYHV2o+cNk7sRCzceTubWFmk0yd1ihZnadlefb9mRuUqFmtvFlHx8REQ8lMjsL9dqgf1N1WqGHZ5+DlR6elb2eVbODYCyZa+OXDmW3Xdn+rxRq3pfMPVGoObrvSFn2Md/GY7ON51u/VR53E4keTtWZhR6evUZXhkfZbOW1xhHJ3LJCzQeSuccKNbOvXx5M5uYVtp0969MLNY9N5u4p1Lw8mav08B3JXKXfZvtopTdla1bu3bLPo+zr9Yj8c7iy79nXw/26Xy8PyF/ykpdE0zz1coeGhuJDH/pQfOhDHzqghQEAvaN/A8Bg0sMBoF1tvKEEAAAAAADGPQNyAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTDMgBAAAAAOgkA3IAAAAAADrJgBwAAAAAgE4yIAcAAAAAoJMMyAEAAAAA6KTJ/V4Ag2nZ4oWp3LMKNeclc39TqJl3bzp5aDI3s7D1/5PMnV6o+XCPc48Wtn1uMvedQs0tydxooeaLkrnbCzV/lMxtLNR8PJmbXaj5SDI3vVBzWzJXOUe7krmphZo7k7mhQs1pPdwutO30ZA+vyD5fmhZq7ir08Oz2B+UdJIOyzrFk7oZCzRcmcz8o1Mz2xmxvioiY1ELNNlSem1nZx2f28RGRvy5UenhGG8cH9seiZA+v9IfsUKgyPMrem88s9PDfTOZG0hXzr8leXqi5JpnLvsbLvsaKyPecyuvGKcnc/ELNrMpMJfN6LCJiQ6Fm9thXnm/Z41npjTuSucpzeHsyV3mNm+2llR6+r2Nf6d+Dcl8NAAAAAAA9ZUAOAAAAAEAnGZADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ1kQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnTS53wtg/Phfixems7OSuTMK2/9GMjevUHNN3JvKNYWa2ezJhZo/TOZ+UKh5YjJ3WzJ3QmHbhyVzUwo1Zydz2ws1f5R8fMyJ09I1n0jmpqUrRvwomas8jhckcxsKNYeTuUmFmrsK2azsT4Z3Fmo+3uN6ULWw0MOHepyrqDz/dySv0RXZ53/lHSRjLdTstcq2s+dox/4sZB+OKmQPSz4+phV6eLaPZXt9RL6PZR9HEfnzWbkvaONx3MY1JFuzcjz7UQ9+2hmFHp69Rh9a2H52KFTp4Ycnr9H/30LNY9Pbzjsnmav0vOxr9n9O5rKvrSMibk3mnlmouTaZe1ah5u8nHx+/X+jhDydzbQxB27jHq7x2zGYrvSw7V2nj9XrlHO1r+5V7Ie8gBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTDMgBAAAAAOgkA3IAAAAAADrJgBwAAAAAgE4yIAcAAAAAoJMMyAEAAAAA6KTJ/V4A48fRhezcZG5VoeYvJXOr4950zZnJ3I/SFSMeSeb+rlDzyGRuU6HmD5O5GcnczsK2/08yN79Qc10yt71QM3su5xVqbknmnijUPCGZy57ziIgdydwzCzUfSOamFGpmDRWy2e1XfoKcOZ+7CvWgqvJ4zWYrNbPXlF2FHj6WzFWe/1mVntfGu00mJXNTk7nssYzIn8vKfs9O5jYXah6XzN1YqNnGdTp77Pv9rqXsY64p1MxmK/teeSxnZa4hbVxn4Mfa6OGV50r28T2p0MPPTuZOTleMGE7mKtfy7OuC7Gu8iPxsIbvtbxW2fXgy951CzewMonIu7yhks7LnvXKPl1V5Dme3X3kOZ/ttpWb2vqDSH7PHqXKO9rXvlfuWft+LAQAAAABAXxiQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdZEAOAAAAAEAnGZADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ1kQA4AAAAAQCdN7vcCaN/yxQtTuSWFmn8d96Zyw4WaVyVzRxRqPp7MjRVqnpjMbS/UHErmTi/UfCCZyx6jYwrb/oVk7vOFmqcmc5sLNQ9L5rYUaj6RzP18oeZDhWzWvGRuXaHm1GQu+3iPiJiSzG0r1GySOT9BZjxYmOzhkwo1m2QP31mq2dtcReWaMiiyxyl7jnYVtp29J8penyPyj8/fKdS8tpDN2pHMVfY9q3KOsv2pcn/bRs/LPjcr14XsPlX2J1OzjWsXE98vJHt4Ta6HV+4LjkzmKsOj7Ousyuuco5O5fynUPDyZGynUzL4enZHMPbOw7ewMYn2hZvYc/WOh5vRkbmuhZvYxX3luZHtOpYe3odLvs9ro4dnjVDme+9p+ZX1e/wMAAAAA0EnlAfnNN98cr3jFK2L+/PkxNDQUX/ziF/f4+ze96U0xNDS0x9f555/fq/UCAPtB/waAwaSHA0C7ygPyrVu3xplnnhmXX375U2bOP//8ePjhh3d/fe5znzugRQIAB0b/BoDBpIcDQLvKn0F+wQUXxAUXXPC0meHh4Zg7d+5+LwoA6C39GwAGkx4OAO1q5TPIb7rppjjmmGPilFNOiXe84x3x6KOPPmV2dHQ0Nm/evMcXAHDwVfp3hB4OAOOFHg4A+6/nA/Lzzz8/PvOZz8SNN94Y/+2//bdYuXJlXHDBBbFr195/D+mKFStiZGRk99eCBQt6vSQAYB+q/TtCDweA8UAPB4ADU/6IlX15/etfv/u/zzjjjFi0aFGceOKJcdNNN8U555zzpPzy5cvjkksu2f3nzZs3a84AcJBV+3eEHg4A44EeDgAHppWPWPlpz3jGM+Koo46K+++/f69/Pzw8HDNnztzjCwDor3317wg9HADGIz0cAGpaH5B///vfj0cffTTmzZvX9qYAgB7RvwFgMOnhAFBT/oiVxx57bI+fRK9duzbuvPPOmD17dsyePTs++MEPxoUXXhhz586NBx54IH7rt34rTjrppDjvvPN6unAAIE//BoDBpIcDQLvKA/I77rgjfumXfmn3n3/8uWUXXXRRXHHFFXHXXXfFpz/96di4cWPMnz8/Xvayl8V/+S//JYaHh3u3akp+NZm7tVBzfTK3oVBzTjL3fwo1tydzlUfnjGRuR6Hm4cncNws1NyVz2eOe3e+IiD9P5sYKNb+TzDWFmjPitFRubaHm0cnc1kLN7IW68jj+YTJXed/RI8ncU/+6qCc7LJnbWaj5WDJ326rVharjn/49mLL/1K9y7atce7Mq28/K7vtQoWZ2nT3/JT1F2XOUzbXxT0Yr5zx7PzarUPOwZA/PbjsiYnoyl+0jEfnjVDlH2cd8GzXbULkmZffpHj1cDx8Hso/XSs+ZlMxNLdTMXiefX6iZfS2cfc0akX/9srFQ8/vJ3NxCzezrl/nJ3M8Xtj0lmfvXFmpWXJHs4ZV7jezzrdJzsr2x8nzLvhauvL7NXhcqr8Oz26/cP4wmc/3q4eX7/5e85CXRNE/9ML3hhhsOaEEAQO/p3wAwmPRwAGhX659BDgAAAAAA45EBOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdZEAOAAAAAEAnGZADAAAAANBJk/u9APbPPy5emM4+kcz9S9ybrvm9ZG5numI+O1So2SRzkwo1s8ezYlMy91ihZnbf/zmZy64xImJeMnd/oebUZO6wOC1dc1Yy95x0xYh/SeaGCzXnJnOVn3g+mMyNFmpmz/sjhZqPJ3OV58Ztq1YX0tB7Cws9PGuo0MPHer71/qrsT/YeolKzcg+RlV1nttdncxWHFbIvTeaOLvTwX07mjkhXjPjrZG5KoWa2j1YeR208h7OPkcp9eBvu0cPps+cUenj2fv+QQg/PDnAqrzWOK2Sz/jWZ216omb1O3lWomfVwIZu9ns5M5qYVtp29Rh9eqJnt4f9PoYdnH5/Z14IVbfTbSl/e1cealfvB7HGqzPzGew/3DnIAAAAAADrJgBwAAAAAgE4yIAcAAAAAoJMMyAEAAAAA6CQDcgAAAAAAOsmAHAAAAACATjIgBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOmtzvBbB/7itk5yVz9xRqbk3m5hZqPprMbS7UPCyZe6JQc2ohmzWWzB1RqHloMve9ZK5yjB5O5k4o1JyfzN1VqHlUMndvoeYLkrnsMYrIP47/pVAz+xxeUqj5jWRue6FmNjutUBP6rXLzNZTM7SrU7Oe7IyrbzvbGpoXtV2pm19nGTXd2ndk1RuSP0fRCzf87mfvLQs0XJXPfLdTMHqcdhZptPIezNfstezwrj0/ot52FbPaxXXl9ma05pVDz+GRuRqFm9rX9lkLN7Ou8yqykcu3NemYy93gyV+k52ddEzyvU/P1krnLv9Fgy18bspSL7PBot1Myez8rxzKr02+zr8InUw72DHAAAAACATjIgBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTDMgBAAAAAOgkA3IAAAAAADrJgBwAAAAAgE6a3O8FsKc/XrwwldtWqLkmmXu0UPPwZO6xQs3NydxQoeaPkrlZhZpZcwrZx5O5yr4/lMxtTOaOLWx7WjK3tlDz5GTumELNnclcZd+3JnO7CjUPTeaOLtTckszdUqh5VDJXOe/Z4/SNVasLVaEdpyd7eOVa3uzfUg667Dsuxgo1s9nKuz2yx7NSM3s+K/uevfa1cYymJHP/V6HmpmTu1ELNZyZzlT6WvS9oQ7+vC9ntV7adza7WwxkHfiHZw7PXyIh2hi3Z6/kThZrfT+bOLtScmsxV1vnPyVzlejqczFXO5YxkLvu6NXssI/IznRMLNf9DMvepQs2symvmynnvdc0dhZrZfarse3b7bazz3gnUw72DHAAAAACATjIgBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTDMgBAAAAAOgkA3IAAAAAADrJgBwAAAAAgE4yIAcAAAAAoJMm93sB7GkomVtfqDmazE0q1Mz+ZKUp1PyFZO6hQs0tydyMQs1tydzGQs3scdpRqPl4MrcgmZta2Pa/JXOHFWr+U5yWyj1cqDkrmXt2oebqZG5aoeZYMrexUPPIZO47hZrZ8/lYoeY3VmWPKAyOSm/MPv+zuYp+v4uin9uvHM/sOnfuz0L6YGYy9zeFmv8n2cMXFWq+MZn750LNrOz9ekT++V6p2YbsOiuP49V6OAOkcm+elb3f3lWo2evXeBERS5K5FxRqZmcQXynUzF6njivUPCmZq8xf/i6Ze1Yyt66w7XnJXGWm8vFkD688jvupch/+RDJX6Y3Z7W8v1Mxuv7Lv93awh5dee6xYsSKe97znxYwZM+KYY46JV73qVbFmzZo9Mtu2bYtly5bFkUceGdOnT48LL7wwNmzY0NNFAwA1ejgADCY9HADaVRqQr1y5MpYtWxa33nprfO1rX4sdO3bEy172sti6devuzHve85748pe/HJ///Odj5cqV8dBDD8VrXvOani8cAMjTwwFgMOnhANCu0kesXH/99Xv8+eqrr45jjjkmVq1aFWeffXZs2rQprrzyyrjmmmvipS99aUREXHXVVfGsZz0rbr311nj+85/fu5UDAGl6OAAMJj0cANp1QB/vuGnTpoiImD17dkRErFq1Knbs2BHnnnvu7sypp54axx13XNxyyy17rTE6OhqbN2/e4wsAaJceDgCDSQ8HgN7a7wH52NhYvPvd744XvOAFcfrpp0dExPr162Pq1Kkxa9asPbJz5syJ9ev3/msNVqxYESMjI7u/Fiyo/DoJAKBKDweAwaSHA0Dv7feAfNmyZXHPPffEtddee0ALWL58eWzatGn317p1ld/RCwBU6eEAMJj0cADovdJnkP/YxRdfHF/5ylfi5ptvjmOPPXb39+fOnRvbt2+PjRs37vHT6w0bNsTcuXP3Wmt4eDiGh4f3ZxkAQJEeDgCDSQ8HgHaU3kHeNE1cfPHFcd1118XXv/71OOGEE/b4+8WLF8eUKVPixhtv3P29NWvWxIMPPhhLly7tzYoBgDI9HAAGkx4OAO0qvYN82bJlcc0118SXvvSlmDFjxu7PMxsZGYnDDjssRkZG4i1veUtccsklMXv27Jg5c2a8853vjKVLl/rN2QDQR3o4AAwmPRwA2lUakF9xxRUREfGSl7xkj+9fddVV8aY3vSkiIv7wD/8wDjnkkLjwwgtjdHQ0zjvvvPjEJz7Rk8V2wcZkbmqh5v1xbyq3vVDz0GTuh4WaW5K5yq+PmVTIZmX/2UXln2ccnszNLNTcmMxtTeYeKmx77/+Q88mmFGpmzStks4/PWwo1s8/NynMje97HCjXvS+amFWo+nsx9Y9XqQlV6RQ9v337/YpenMZbs4RXZ3tgUalauP72u2cZxr9jVQs3sPmWPUaXfzk7mjt13ZLf/O5n7z4Wa9ydzlcdx9ri3cc4r62zDzmRutR7eF3p4+55I5ir3xj9K9vD9+tzbfVhSyD4zmav022x/yr5+iMj3snMKNdckc5sLNX+QzP1VMvcfC9v+VjJ3dKHmUCGble15ld64I5mr9PDsPXO2h0bk11mpmXW3Hv60Stfiptn3w/PQQw+Nyy+/PC6//PL9XhQA0Ft6OAAMJj0cANrV7zfdAAAAAABAXxiQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdZEAOAAAAAEAnGZADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ00ud8L6IJbFy9MZzckc48Utr89mXtmCzUrsjXXFGoekcwNF2qOJHOPF2r+MJl7rFBzczKXXeeswraz5/L4OC1d83vJ3M+nK0aMJXPbCjWnJ3NTCzWzz/fs4ygi/9PRyjqvW7W6kIbBcHqhhw8lc83+LaVn2th+9pqSve5WalZkt1/ZdhvHs3KcMiprzG77HYUe/k/J3PnpihF3JXM7CjWz+559rke089zIns+dhZqr9XAmoMWFHp59XlVe42VfN1Zkrz9/V6iZHQr9a6HmvyRzcws15ydzJxZqZrOXFWqek8ydnsz9W2Hbo8ncbxd6eFblXiP7OG6jh1fWmT2elXVme3NlnXfr4T3hHeQAAAAAAHSSATkAAAAAAJ1kQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdNLnfC+iC+wvZ4WRuUqHm1GRuV6HmzmRuWqHmtmRuR6HmvyVzhxdqbi1ks55I5n5UqDmWzC1I5rLnPCLiF+O0VO77hZqHJXM/V6i5LplbWqi5NpmrPI6PSOYqP/H8+WTuA6tWF6rCxDPUQs3s9Tki/7yu1GxDG9vP1qxc+9o4ntmaTaFmNpvd9hsK2z4l2cOPKtR8JJn700LN7L1TGyrXhexjqfL4yN6TrdbD6bjKa+Y2ek729W12BhCRH+BUBj0PFrJZuU4SsbhQM7tPldf2/5rM/Wqh5qeTuZOTuS8Utv1XySNfeS2afR5VemO257Vx7zRaqJnd98osLZu9Vw8/6LyDHAAAAACATjIgBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTDMgBAAAAAOgkA3IAAAAAADrJgBwAAAAAgE6a3O8FdMGcQnZnMrelUHNaMvdQoeauZG57oWZ23ycVah6azI0Uamb3abhQ8/FkrvKEnZ7MZX9KdlRh248VslmLk7lHCzWPTObWFmpmz9HhhZrfSuYqP/H8wKrVhTR0V+W627Sw/bFkro13PAwVsv18x0X2GEXk19nG/lQeH9ntH53M3VfY9r8lc39aqPlwMle5v80+Ptt4XlZqZtdZeRyv1sMhJfv6MqKd/pDNTinUzF4rKq/H5iZzpxdqLkzmvlyoeVYyd02h5q8nc58p1My+Hr0nmVtX2HblMZ+Vnf1U7pmf2J+F7MOOZK5yjLL9vtLD79XDxy3vIAcAAAAAoJMMyAEAAAAA6CQDcgAAAAAAOsmAHAAAAACATjIgBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTDMgBAAAAAOikyf1ewCD768ULU7kjCzUfS+bOKtR8KE5L5Y6Je9M1Vydzk9IVI2YnczsKNXcmc6OFmtuTuey5jIg4KZn7UaHm9B7XPC35OIqI+LlkbixdMWJmMndnoWb2XB5aqLktmdtYqDmSzH1mVfaZCZye7OGV69Su/VvKPuSuvWOFHp5VeRdFk8xVbjzbOJ7Z8zlUqJnd9zbelZK917ir0MOz+/54umJe5fnWz3f5VNaZdY8eDmmLkz28Ivu8rry+PSR57d1R6OHZPlq5Tt2czK0r1My+JvpqoeZf9njbEREPJ3MPFGpmfSqZm1To4dnHR2Wmkr0fy85eIvL3TpV7wcpMJyt7nO7WwyeE0r3lihUr4nnPe17MmDEjjjnmmHjVq14Va9as2SPzkpe8JIaGhvb4evvb397TRQMANXo4AAwmPRwA2lUakK9cuTKWLVsWt956a3zta1+LHTt2xMte9rLYunXrHrm3vvWt8fDDD+/++shHPtLTRQMANXo4AAwmPRwA2lX6iJXrr79+jz9fffXVccwxx8SqVavi7LPP3v39adOmxdy5c3uzQgDggOnhADCY9HAAaNcBfXzfpk2bIiJi9uw9Pz36s5/9bBx11FFx+umnx/Lly+Pxx9v4lEIAYH/p4QAwmPRwAOit/f4lnWNjY/Hud787XvCCF8Tpp5+++/tveMMb4vjjj4/58+fHXXfdFe973/tizZo18YUvfGGvdUZHR2N09Ccfp7958+b9XRIAkKCHA8Bg0sMBoPf2e0C+bNmyuOeee+Lv//7v9/j+2972tt3/fcYZZ8S8efPinHPOiQceeCBOPPHEJ9VZsWJFfPCDH9zfZQAARXo4AAwmPRwAem+/PmLl4osvjq985SvxjW98I4499tinzS5ZsiQiIu6///69/v3y5ctj06ZNu7/WrVu3P0sCABL0cAAYTHo4ALSj9A7ypmnine98Z1x33XVx0003xQknnLDP/+fOO++MiIh58+bt9e+Hh4djeHi4sgwAoEgPB4DBpIcDQLtKA/Jly5bFNddcE1/60pdixowZsX79+oiIGBkZicMOOyweeOCBuOaaa+JXfuVX4sgjj4y77ror3vOe98TZZ58dixYtamUHAIB908MBYDDp4QDQrqGmaZp0eGhor9+/6qqr4k1velOsW7cufv3Xfz3uueee2Lp1ayxYsCBe/epXx/vf//6YOXNmahubN2+OkZGR7JL66q8WL0zlNhZqnr7vSERE/FOh5ui+IxER8eW4N13zsGTuiXTFiGnJ3M5Cze3JXO7R+e92JHN7f7YcmEmFbPbYPyOZmx+npbe99/epPNlj6YoRdydzWwo1Z/U4F5F/vv+3VasLVZlINm3alO6JvaSH72lRsodXruVjyVz6xquQHSr08DZk34NYOZ7ZPlY5noMi+xmIM5K57YUenj2elfuxNu6JsuvMPi8r7tHDO0sPHx+ek+zhFdnr1JRCzexrt8mFHp59h+PUdMV8tnLdz6rUzM41Kq+Zs9uv/FuL7Awi2+unFXp49lftZmcaEfl+W7kfy/bm7LGsbP8uPbyTMv27/BErT2fBggWxcuXKSkkA4CDQwwFgMOnhANCu/folnQAAAAAAMOgMyAEAAAAA6CQDcgAAAAAAOsmAHAAAAACATjIgBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTJvd7AePNqxcvTGc3JHObC9u/J5k7rFDz0WTulDgtXXNt3FtYQc6kZG5nz7cccUQh+/1kblah5pHJ3PZCzY3J3FDyvK8rbPvxZO57hZozk7nZhZo/l8w9VKi5q5AFeuv0Qg9vQ9NCzaF0Mt/DI9nDK++iGE3m8vuTz7Zx3NtQOZ7Z7PbkeR8ubDt7PCvHfayQzWrjfhDon+cUeni2P1R6ThvXvrze9/CKx5K5yr5nB02V/pC97ldqZtfZRs85JHnes6+tI/L3Y2305cqsIjv7qTzmvA7nQHkHOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdZEAOAAAAAEAnGZADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ00ud8LGG/eUch+P5n7SqHmnGTuiELNqcncvxZqvjhOS+VWxb3pmpOSue3pihHTkrldLdTcVKj53GTuG8njHpFfZ/anZI+mtxzxvWTu6ELNx5O5eYWas5K5i1etLlQFBsFQH2s2hZpjPd52RMSkZC8ZK/TwrEq/7afKO0iy5+iQQg/P3hNljRayvd52RP4xX3luZK3Ww2EgtPH831nItjEYqWw/a1uylwwXeni251V6Y3bfK/0pe44qj6XsfcmuQg/Pys41KvOP7D1J5Rhlz2XlXnRHMne3Hs5B5B3kAAAAAAB0kgE5AAAAAACdZEAOAAAAAEAnGZADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ1kQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnTS53wsYb5pCdkMyd0ah5pHJ3KxCze3J3L8Wat6ezJ0Vp6Vr3h33pnJT0hUjnpnMPVCouTiZu7NQc3XyOA0Xam5M5o5J5rKPzYiIHcnc1kLNyvazfn3V6haqAv3Sxk/9K/cFlWw/jaWT+R4eyR5ekT2f+f1pq2blOPVWtt9OaqFmRfZ4Vo77aj0cJpRKD9+ZzFWufdnrT+Uamd3+E4Wa2dfCOwu9aUcLr8Ozg6Y27rN2FWoOJY/TaKFm9rGcfSxlH+8REUPJXBv3rJWad+vhjEPeQQ4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdZEAOAAAAAEAnTe73Ag6WLy5emModUag5JZnbUqh5VAs1/66FmrOSuRsKNWfHaanc0YWa/5bMPVGo+WgyN6lQc0Eyd2ShZvbJ/a/J3PbCtmcnc7sKNWckc8tXrS5UBQbB6ckeXtH0vGI72x7qca49uR7ehsq7PcZaqJlVuS/IrrOf5z27xkp2tR4OE84vJHv4zkLN7DW68lojW7PSw7OvnypDmez1tHI8m2QPr/TGHclcdqYSEbEtmav0xuxjpHLes8c+ey77ec9acbcezoDzDnIAAAAAADqpNCC/4oorYtGiRTFz5syYOXNmLF26NL761a/u/vtt27bFsmXL4sgjj4zp06fHhRdeGBs2bOj5ogGAGj0cAAaTHg4A7SoNyI899ti47LLLYtWqVXHHHXfES1/60njlK18Z9957b0REvOc974kvf/nL8fnPfz5WrlwZDz30ULzmNa9pZeEAQJ4eDgCDSQ8HgHYNNU1zQB9pNHv27PiDP/iDeO1rXxtHH310XHPNNfHa1742IiK++93vxrOe9ay45ZZb4vnPf36q3ubNm2NkZORAlrRX2c8gn1+oeXMyd2+h5gnJXOUnG/38DPLK521mP7e68ujIfp7bQ4Waz2qh5inJ3OOFmv38DPJpyVzlcwGzn79+qc8+Y5zbtGlTzJw5s9/LiIjB6eHZzyDv9+fG9fOzJPv/GeQ5lc+tbuN89vMzyCufs1o5ThmV/cn2Zp9BThfp4XXZzyBvoz8MSs+pfAZ5G/uevS9po49VamY/27vfn0Ge3fde5yLauR/M7rvPIGc8y/Tv/e4Du3btimuvvTa2bt0aS5cujVWrVsWOHTvi3HPP3Z059dRT47jjjotbbrnlKeuMjo7G5s2b9/gCANqjhwPAYNLDAaD3ygPyu+++O6ZPnx7Dw8Px9re/Pa677rpYuHBhrF+/PqZOnRqzZs3aIz9nzpxYv379U9ZbsWJFjIyM7P5asGBBeScAgH3TwwFgMOnhANCe8oD8lFNOiTvvvDNuu+22eMc73hEXXXRRrF69//+UYvny5bFp06bdX+vWrdvvWgDAU9PDAWAw6eEA0J7Kx11FRMTUqVPjpJNOioiIxYsXx+233x5/9Ed/FK973eti+/btsXHjxj1+er1hw4aYO3fuU9YbHh6O4eHh+soBgBI9HAAGkx4OAO054N9FMTY2FqOjo7F48eKYMmVK3Hjjjbv/bs2aNfHggw/G0qVLD3QzAECP6eEAMJj0cADondI7yJcvXx4XXHBBHHfccbFly5a45ppr4qabboobbrghRkZG4i1veUtccsklMXv27Jg5c2a8853vjKVLl6Z/czYA0A49HAAGkx4OAO0qDcgfeeSR+I3f+I14+OGHY2RkJBYtWhQ33HBD/PIv/3JERPzhH/5hHHLIIXHhhRfG6OhonHfeefGJT3yilYVXXZnMvbBQc14y9/8Wam5I5rYXag4lcyOFmruSuVmFmtOSuUcLNacmczMKNe9M5iq/5ubfkrnvFmpmVfY9K/uYe2ah5iWr9v8zFoHB7uFjyVzln8Vlr1MV2e1n94fey56jA/4nlgeo6XG97H1bRP7xWXkcr9bD4YAMcg/PXn8qfblyTcsalN68M5mrHM9sdluhZlbluPfzHGWPe0X2uFfuSbLHqPL4uFsPpyOGmqbp9T34Adm8eXOMjFRGtTmvWLwwlWtjQH5VoeZhyVwbA/LKT0uyF94jCzWzZ31zoWZ2QF7Z9x8mc5UB+cxkblAG5NlPMzQgp4s2bdoUM2dmn/WDpa0evjDZwyvX8jYG5NkbqkF5Ed6Gyr73c0jdxrYnFbJtDH+yDMjhqenhdYuSPbzSl9sYYLRxX5DVxuvwNgbkbQyJ29j3NvRzQF45l208Pu7Sw5kAMv2732+QAQAAAACAvjAgBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTDMgBAAAAAOgkA3IAAAAAADppcr8XcLCclcydVKj5kWTulELNh5O5BYWak5K5jYWas5K5xws1sw/GaYWaM5O5nYWab0jmNhZqfieZm1WoOT2Ze6xQM2t2MnfJqtUtbB2YaPr50/ymj9tuS/Z4jrW6in3L3hdUengbj6WhZG5XoWb2cZfNtXEuV+vhQJ9kr7ttqNwXZNdZ6WPZ7U9poWZFtuaOQs3s8Wyj51Uec73u4ZX7h+x9zl16ODyJd5ADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ1kQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSQbkAAAAAAB00uR+L+BAvHrxwnT2W8ncA4XtL0jmphZqjiRzDxdqTk/mdhVqPp7MTSrUzO7TkYWaO5K5KYWa2XVOK9Sck8xtLtQcSuayF4HDCtv+/VWrC2mgixYWeng/Za+lFZV3JzTJXL/XOZbMVfptVuVeIyt73CNq90+9lj3uFav1cGAfFhV6eBv9aaKp9Jzs8dy5PwvZh8o627h/qWy/19pYZxs9/G49HPabd5ADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ1kQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSZP7vYADcUwh+2gy90Sh5qnJ3L8Vap6RzK0p1DwlmXuwUHNnMndooeZRydxwoeaCZO6hQs3sT5V+UKiZfdw1hZrrk7nPrVpdqArQG5NaqFm5RmazlXcSVLafld1+ZZ1j+7OQfciezzbWWTnu2ZpDhZq93nbFaj0cGOey1+jKdTdbs42+3EZ/aGPf29DPbfd7+5Uens3eq4fDuOId5AAAAAAAdJIBOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdZEAOAAAAAEAnGZADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ00ud8LOBDbC9n3JnN/Vai5I5l7YaHmPydzv1iouTmZO6tQc14yd1uh5sZk7qhCzZ3JXFOomTWlkP1OMveZVav3ZykA486uQjb70/yxQs3sDVClPwz1eNsRtX3KauN4tlEzq42alcdn1mo9HJggsv0uIt9H23g91obKvvezN1a0ceyzx6mN+8E23K2Hw4RXusZcccUVsWjRopg5c2bMnDkzli5dGl/96ld3//1LXvKSGBoa2uPr7W9/e88XDQDU6OEAMJj0cABoV+kd5Mcee2xcdtllcfLJJ0fTNPHpT386XvnKV8a3v/3tOO200yIi4q1vfWt86EMf2v3/TJs2rbcrBgDK9HAAGEx6OAC0qzQgf8UrXrHHn//rf/2vccUVV8Stt966uzFPmzYt5s6d27sVAgAHTA8HgMGkhwNAu/b7Y5x27doV1157bWzdujWWLl26+/uf/exn46ijjorTTz89li9fHo8//vjT1hkdHY3Nmzfv8QUAtEcPB4DBpIcDQO+Vf0nn3XffHUuXLo1t27bF9OnT47rrrouFCxdGRMQb3vCGOP7442P+/Plx1113xfve975Ys2ZNfOELX3jKeitWrIgPfvCD+78HAECKHg4Ag0kPB4D2DDVNU/qlxdu3b48HH3wwNm3aFH/xF38Rn/rUp2LlypW7m/NP+/rXvx7nnHNO3H///XHiiSfutd7o6GiMjo7u/vPmzZtjwYIFqbW8efGTt/lU/q9k7q/SFfO/cfnMQs1/TuZmFWpm3wtwZKHmvGTutkLNjcnc/ELN6cnchkLN7Pa3FWrelcx9xm/PhoG3adOmmDlzZl+2PZ56+MJCD8/+c7exdMX9eIdAwlAL267sU69Vtt3GOcrK3o9VtLHO1Xo4DDw9/N+dWejhpWFDj7Wx7co/wW+jN7axT23UzN4TVXr4fn/8QQ/crYfDQMv07/Lrw6lTp8ZJJ50UERGLFy+O22+/Pf7oj/4o/uRP/uRJ2SVLlkREPG1jHh4ejuHh4eoyAIAiPRwABpMeDgDtOeAfwo2Nje3xk+efduedd0ZExLx52fcbAwAHix4OAINJDweA3im9g3z58uVxwQUXxHHHHRdbtmyJa665Jm666aa44YYb4oEHHohrrrkmfuVXfiWOPPLIuOuuu+I973lPnH322bFo0aK21g8AJOjhADCY9HAAaFdpQP7II4/Eb/zGb8TDDz8cIyMjsWjRorjhhhvil3/5l2PdunXxt3/7t/Gxj30stm7dGgsWLIgLL7ww3v/+9+/Xwt747FNi6qRJT5t5+r/d05eTuZcXau795/VPdkSh5i8kc8cVamY/1+uhQs3sZ3ZPLdQ8JpnbWaj59L+7/Scqj6XvJXP/3eeUAePIwezhpzz7lJi0jx7ehn5+NmVl+5U+llX5/NDs54JmcxH5e43KOtv4TNTs57z6vHBgPDmYPfz0RA/v97U825/a+H0SbfTGiuzxbOP3iFRkt185nlk+LxzYH6UB+ZVXXvmUf7dgwYJYuXLlAS8IAOg9PRwABpMeDgDt6vebrQAAAAAAoC8MyAEAAAAA6CQDcgAAAAAAOsmAHAAAAACATjIgBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOMiAHAAAAAKCTJvd7AU9l0v//q1dmJHMbCjVfncx9slBzRzK3pFBzbTK3ulDzF5O5Rws1z0rmVhVqzk7mNhVqfnxV5UgBsDeVn9CPtVBzZws1s4YK2V3JXGWdTY+3XZHddkT+OGUfHxERq/VwgANWuZb3c/tt9MY2VLbdxj1RpY/2WmWdd+vhQIu8gxwAAAAAgE4yIAcAAAAAoJMMyAEAAAAA6CQDcgAAAAAAOsmAHAAAAACATjIgBwAAAACgkwzIAQAAAADoJANyAAAAAAA6yYAcAAAAAIBOmtzvBTyVH0bElH1kZhXq/SiZ+2ah5spk7hcLNW9J5v6lUHMomTumUPN/J3PTCjXvSOYqD9pNydzHV60uVAXgQI1NwJrZbBvvTthZyPbz5q9pIbtaDwfomZ1Ru1aPZ9nXwdVsVhvHcVIL287uexs179bDgXHCO8gBAAAAAOgkA3IAAAAAADrJgBwAAAAAgE4yIAcAAAAAoJMMyAEAAAAA6CQDcgAAAAAAOsmAHAAAAACATjIgBwAAAACgkwzIAQAAAADoJANyAAAAAAA6aXK/F/BU/vrONfvM/OLihel6m5K5ygGZlszdWKi5KJnbUKiZ3ac7CzWzxzObi4h4LJn7i1WrC1UBONjWJHr4wkIPn2jGCtk23smws4WaWav1cIBx7buJHn5aoYc3ydxQumK+N1b6bRvrrGSzsuus7HvWvXo4MIF5BzkAAAAAAJ1kQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdNLnfCzgQ31y1Op190eKFPd/+UDI3r1DzpmTuRYWatyVzjxZqbk/mdhZq3lA4nwAMttWFa/7CFnr4oBjr9wKSKucTgMF2bws9vClsv5+9MTsDqKjsz6RkrvJOyLv1cIADewf5ZZddFkNDQ/Hud7979/e2bdsWy5YtiyOPPDKmT58eF154YWzYsOFA1wkA9JAeDgCDR/8GgN7b7wH57bffHn/yJ38SixYt2uP773nPe+LLX/5yfP7zn4+VK1fGQw89FK95zWsOeKEAQG/o4QAwePRvAGjHfg3IH3vssXjjG98Y/+t//a844ogjdn9/06ZNceWVV8ZHP/rReOlLXxqLFy+Oq666Kr75zW/Grbfe2rNFAwD7Rw8HgMGjfwNAe/ZrQL5s2bJ4+ctfHueee+4e31+1alXs2LFjj++feuqpcdxxx8Utt9xyYCsFAA6YHg4Ag0f/BoD2lH9J57XXXhvf+ta34vbbb3/S361fvz6mTp0as2bN2uP7c+bMifXr1++13ujoaIyOju7+8+bNm6tLAgAS9HAAGDy97t8RejgA/LTSO8jXrVsX73rXu+Kzn/1sHHrooT1ZwIoVK2JkZGT314IFC3pSFwD4CT0cAAZPG/07Qg8HgJ9WGpCvWrUqHnnkkXjOc54TkydPjsmTJ8fKlSvj4x//eEyePDnmzJkT27dvj40bN+7x/23YsCHmzp2715rLly+PTZs27f5at27dfu8MALB3ejgADJ42+neEHg4AP630ESvnnHNO3H333Xt8781vfnOceuqp8b73vS8WLFgQU6ZMiRtvvDEuvPDCiIhYs2ZNPPjgg7F06dK91hweHo7h4eH9XD4AkKGHA8DgaaN/R+jhAPDTSgPyGTNmxOmnn77H9w4//PA48sgjd3//LW95S1xyySUxe/bsmDlzZrzzne+MpUuXxvOf//zerRoAKNHDAWDw6N8A0L7yL+nclz/8wz+MQw45JC688MIYHR2N8847Lz7xiU/0ejMAQI/p4QAwePRvADgwQ03TNP1exE/bvHlzjIyM9G37L1q8MJ3N/oO0WYXtH5bM7SrUfLzHuYiIv1m1upAG4Mc2bdoUM2fO7PcyWtHvHr6w0MP7qfILYMZa2P5qPRxgv+jh7Wmjhw/1vGL/3auHA5Rl+nfpl3QCAAAAAMBEYUAOAAAAAEAnGZADAAAAANBJBuQAAAAAAHSSATkAAAAAAJ1kQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdNLkfi/gZzVN09ft79y1K52dlMztKGw/W3OsUDO7/Z2FmgDsn373uTb1e992FXp4P1WOUqXfA9Cufve5NvV739ro4UM9rwjAIMr0uHE3IN+yZUtft3/LnWv6un0AJrYtW7bEyMhIv5fRin738DV6OAAt0sPbo4cD0JZM/x5q+v2j4p8xNjYWDz30UMyYMSOGhn7yM9/NmzfHggULYt26dTFz5sw+rrA37M/4N9H2yf6MfxNtn+zPnpqmiS1btsT8+fPjkEMm5iec7a2HT7THQcTE2yf7M/5NtH2yP+PfRNsnPXzf9PDBZH/Gt4m2PxETb5/sz/h3IPtU6d/j7h3khxxySBx77LFP+fczZ86cMCc5wv4Mgom2T/Zn/Jto+2R/fmKivuvsx56uh0+0x0HExNsn+zP+TbR9sj/j30TbJz38qenhg83+jG8TbX8iJt4+2Z/xb3/3Kdu/J+aPvwEAAAAAYB8MyAEAAAAA6KSBGZAPDw/HpZdeGsPDw/1eSk/Yn/Fvou2T/Rn/Jto+2R8iJuZxm2j7ZH/Gv4m2T/Zn/Jto+zTR9udgmYjHbaLtk/0Z3yba/kRMvH2yP+PfwdqncfdLOgEAAAAA4GAYmHeQAwAAAABALxmQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdNBAD8ssvvzx+/ud/Pg499NBYsmRJ/OM//mO/l7TfPvCBD8TQ0NAeX6eeemq/l5V28803xyte8YqYP39+DA0NxRe/+MU9/r5pmvi93/u9mDdvXhx22GFx7rnnxn333defxSbsa3/e9KY3Pel8nX/++f1ZbMKKFSviec97XsyYMSOOOeaYeNWrXhVr1qzZI7Nt27ZYtmxZHHnkkTF9+vS48MILY8OGDX1a8dPL7M9LXvKSJ52jt7/97X1a8b5dccUVsWjRopg5c2bMnDkzli5dGl/96ld3//0gnZ+Ife/PoJ2fn3XZZZfF0NBQvPvd7979vUE7R/02UXr4oPfvCD1cDz+49PDxfX4i9PBBOEf9poePH3q4Hn4wTbQePtH6d4Qe3sZ5GvcD8j/7sz+LSy65JC699NL41re+FWeeeWacd9558cgjj/R7afvttNNOi4cffnj319///d/3e0lpW7dujTPPPDMuv/zyvf79Rz7ykfj4xz8en/zkJ+O2226Lww8/PM4777zYtm3bQV5pzr72JyLi/PPP3+N8fe5znzuIK6xZuXJlLFu2LG699db42te+Fjt27IiXvexlsXXr1t2Z97znPfHlL385Pv/5z8fKlSvjoYceite85jV9XPVTy+xPRMRb3/rWPc7RRz7ykT6teN+OPfbYuOyyy2LVqlVxxx13xEtf+tJ45StfGffee29EDNb5idj3/kQM1vn5abfffnv8yZ/8SSxatGiP7w/aOeqnidbDB7l/R+jhevjBpYeP7/MToYcPwjnqJz18fNHD9fCDaaL18InWvyP08FbOUzPOnXXWWc2yZct2/3nXrl3N/PnzmxUrVvRxVfvv0ksvbc4888x+L6MnIqK57rrrdv95bGysmTt3bvMHf/AHu7+3cePGZnh4uPnc5z7XhxXW/Oz+NE3TXHTRRc0rX/nKvqynFx555JEmIpqVK1c2TfPv52PKlCnN5z//+d2Z73znO01ENLfccku/lpn2s/vTNE3z4he/uHnXu97Vv0X1wBFHHNF86lOfGvjz82M/3p+mGdzzs2XLlubkk09uvva1r+2xDxPlHB0sE6mHT6T+3TR6+CDQwweDHj7+6OG9oYePX3r4+KeHj38TrX83jR5+oMb1O8i3b98eq1atinPPPXf39w455JA499xz45Zbbunjyg7MfffdF/Pnz49nPOMZ8cY3vjEefPDBfi+pJ9auXRvr16/f43yNjIzEkiVLBvp83XTTTXHMMcfEKaecEu94xzvi0Ucf7feS0jZt2hQREbNnz46IiFWrVsWOHTv2OEennnpqHHfccQNxjn52f37ss5/9bBx11FFx+umnx/Lly+Pxxx/vx/LKdu3aFddee21s3bo1li5dOvDn52f358cG8fwsW7YsXv7yl+9xLiIG/zl0ME3EHj5R+3eEHj4e6eHjmx4+funhB04PHyx6+Pijh49fE61/R+jhvTpPk3tSpSU//OEPY9euXTFnzpw9vj9nzpz47ne/26dVHZglS5bE1VdfHaeccko8/PDD8cEPfjBe9KIXxT333BMzZszo9/IOyPr16yMi9nq+fvx3g+b888+P17zmNXHCCSfEAw88EL/zO78TF1xwQdxyyy0xadKkfi/vaY2NjcW73/3ueMELXhCnn356RPz7OZo6dWrMmjVrj+wgnKO97U9ExBve8IY4/vjjY/78+XHXXXfF+973vlizZk184Qtf6ONqn97dd98dS5cujW3btsX06dPjuuuui4ULF8add945kOfnqfYnYjDPz7XXXhvf+ta34vbbb3/S3w3yc+hgm2g9fCL37wg9fLzRw8dvj9DDx/f50cN7Qw8fLHr4+KKHj88eMdH6d4QeHtHb8zSuB+QT0QUXXLD7vxctWhRLliyJ448/Pv78z/883vKWt/RxZezN61//+t3/fcYZZ8SiRYvixBNPjJtuuinOOeecPq5s35YtWxb33HPPwH2+3lN5qv1529vetvu/zzjjjJg3b16cc8458cADD8SJJ554sJeZcsopp8Sdd94ZmzZtir/4i7+Iiy66KFauXNnvZe23p9qfhQsXDtz5WbduXbzrXe+Kr33ta3HooYf2ezmMI/r34NHDxw89fPzSw+kCPXzw6OHjx0Tp4ROtf0fo4b02rj9i5aijjopJkyY96beSbtiwIebOndunVfXWrFmz4pnPfGbcf//9/V7KAfvxOZnI5+sZz3hGHHXUUeP+fF188cXxla98Jb7xjW/Escceu/v7c+fOje3bt8fGjRv3yI/3c/RU+7M3S5YsiYgY1+do6tSpcdJJJ8XixYtjxYoVceaZZ8Yf/dEfDez5ear92Zvxfn5WrVoVjzzySDznOc+JyZMnx+TJk2PlypXx8Y9/PCZPnhxz5swZyHPUDxO9h0+k/h2hh48nevj47RERenjE+D0/enjv6OGDRQ8fP/Tw8dsjJlr/jtDDI3p7nsb1gHzq1KmxePHiuPHGG3d/b2xsLG688cY9PldnkD322GPxwAMPxLx58/q9lAN2wgknxNy5c/c4X5s3b47bbrttwpyv73//+/Hoo4+O2/PVNE1cfPHFcd1118XXv/71OOGEE/b4+8WLF8eUKVP2OEdr1qyJBx98cFyeo33tz97ceeedERHj9hztzdjYWIyOjg7c+XkqP96fvRnv5+ecc86Ju+++O+68887dX8997nPjjW984+7/ngjn6GCY6D18IvXvCD18PNDDx3+P2Bs9fPzQw3tHDx8senj/6eHjv0f8rInWvyP08APWk1/12aJrr722GR4ebq6++upm9erVzdve9rZm1qxZzfr16/u9tP3ym7/5m81NN93UrF27tvmHf/iH5txzz22OOuqo5pFHHun30lK2bNnSfPvb326+/e1vNxHRfPSjH22+/e1vN//yL//SNE3TXHbZZc2sWbOaL33pS81dd93VvPKVr2xOOOGE5oknnujzyvfu6fZny5YtzXvf+97mlltuadauXdv87d/+bfOc5zynOfnkk5tt27b1e+l79Y53vKMZGRlpbrrppubhhx/e/fX444/vzrz97W9vjjvuuObrX/96c8cddzRLly5tli5d2sdVP7V97c/999/ffOhDH2ruuOOOZu3atc2XvvSl5hnPeEZz9tln93nlT+23f/u3m5UrVzZr165t7rrrrua3f/u3m6GhoeZv/uZvmqYZrPPTNE+/P4N4fvbmZ38D+KCdo36aSD180Pt30+jhevjBpYeP7/PTNHr4IJyjftLDxxc9XA8/mCZaD59o/btp9PA2ztO4H5A3TdP88R//cXPcccc1U6dObc4666zm1ltv7feS9tvrXve6Zt68ec3UqVObn/u5n2te97rXNffff3+/l5X2jW98o4mIJ31ddNFFTdM0zdjYWPO7v/u7zZw5c5rh4eHmnHPOadasWdPfRT+Np9ufxx9/vHnZy17WHH300c2UKVOa448/vnnrW986rm8K97YvEdFcddVVuzNPPPFE85/+039qjjjiiGbatGnNq1/96ubhhx/u36Kfxr7258EHH2zOPvvsZvbs2c3w8HBz0kknNf/5P//nZtOmTf1d+NP4j//xPzbHH398M3Xq1Oboo49uzjnnnN2NuWkG6/w0zdPvzyCen7352cY8aOeo3yZKDx/0/t00ergefnDp4eP7/DSNHj4I56jf9PDxQw/Xww+midbDJ1r/bho9vI3zNNQ0TbP/7z8HAAAAAIDBNK4/gxwAAAAAANpiQA4AAAAAQCcZkAMAAAAA0EkG5AAAAAAAdJIBOQAAAAAAnWRADgAAAABAJxmQAwAAAADQSQbkAAAAAAB0kgE5AAAAAACdZEAOAAAAAEAnGZADAAAAANBJBuQAAAAAAHTS/w8SWNqBUDCJdQAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1500x1000 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cells_to_plot = [0, 99, 310]\n",
+    "fig, axes = plt.subplots(2, len(cells_to_plot), figsize=(15, 10))\n",
+    "\n",
+    "for idx, i in enumerate(cells_to_plot):\n",
+    "    # Plotting original cell\n",
+    "    plot_cell_image(cell_objects[i], channels=['nucleus', 'protein'], ax=axes[0, idx])\n",
+    "    axes[0, idx].set_title(f'Original Cell {i}')\n",
+    "    \n",
+    "    # Plotting mapped cell\n",
+    "    mapped_cell_object = cell_objects[target_cell_ind].copy()\n",
+    "    for j, channel in enumerate(channels_to_map):\n",
+    "        mapped_cell_object.intensities[channel] = mapped_distbs[j][i]\n",
+    "    plot_cell_image(mapped_cell_object, channels=['nucleus', 'protein'], ax=axes[1, idx])\n",
+    "    axes[1, idx].set_title(f'Mapped Cell {i}')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a459d477",
+   "metadata": {},
+   "source": [
+    "After mapping all cells to the anchor cell, we can compute the optimal transport (Wasserstein) distance to measure the difference in protein localization patterns between cells. Similar to the Gromov-Wasserstein morphology space, we can cluster cells based on the optimal transport localization space to identify groups of cells with similar protein localization patterns, and visualize the space with UMAP."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "4917bb17",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Computing pairwise OT distances:\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 69378/69378 [20:54<00:00, 55.29it/s] \n"
+     ]
+    }
+   ],
+   "source": [
+    "ot_dmats = gw_mapped_ot_pairwise_parallel(cell_objects[target_cell_ind], mapped_distbs, num_processes=cpu_count(), chunksize=20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "696ee320",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.10/site-packages/umap/umap_.py:1780: UserWarning:\n",
+      "\n",
+      "using precomputed metric; inverse_transform will be unavailable\n",
+      "\n",
+      "/opt/conda/lib/python3.10/site-packages/plotly/express/_core.py:1992: FutureWarning:\n",
+      "\n",
+      "When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "        <script type=\"text/javascript\">\n",
+       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        requirejs.config({\n",
+       "            paths: {\n",
+       "                'plotly': ['https://cdn.plot.ly/plotly-2.24.1.min']\n",
+       "            }\n",
+       "        });\n",
+       "        require(['plotly'], function(Plotly) {\n",
+       "            window._Plotly = Plotly;\n",
+       "        });\n",
+       "        }\n",
+       "        </script>\n",
+       "        "
+      ]
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+       "var gd = document.getElementById('0d66240c-f825-44bc-89d5-9689bf0326c7');\n",
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+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
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+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
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+       "\n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Compute UMAP representation of the OT localization space\n",
+    "reducer = umap.UMAP(metric=\"precomputed\", random_state=1)\n",
+    "embedding = reducer.fit_transform(ot_dmats[0])\n",
+    "\n",
+    "# Cluster cells based on the OT localization space using the leiden algorithm\n",
+    "ot_clusters = cajal.utilities.leiden_clustering(ot_dmats[0], resolution=0.005, seed=1)\n",
+    "\n",
+    "# Visualize the OT localization space\n",
+    "plotly.express.scatter(x=embedding[:,0],\n",
+    "                       y=embedding[:,1],\n",
+    "                       template=\"simple_white\",\n",
+    "                       hover_name=[\"cell_\" + str(i) for i in range(ot_dmats[0].shape[0])],\n",
+    "                       color = [str(c) for c in ot_clusters]\n",
+    "                       )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "13f8e5cb",
+   "metadata": {},
+   "source": [
+    "We can visualize some example cells and their protein distributions from cluster 0."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "839bec6f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1500x500 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cells_to_plot = [335, 270, 309] # Example cells from cluster 0\n",
+    "fig, axes = plt.subplots(1, len(cells_to_plot), figsize=(15, 5))\n",
+    "for ax, i in zip(axes, cells_to_plot):\n",
+    "    plot_cell_image(cell_objects[i], channels=['nucleus', 'protein'], ax=ax)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ed7eb1dc",
+   "metadata": {},
+   "source": [
+    "We can also color the UMAP representation of the optimal transport localization space by the localization pattern annotations from the Human Protein Atlas. As expected, the annotated localization patterns separate in the localization space."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "77c4d262",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.10/site-packages/plotly/express/_core.py:1992: FutureWarning:\n",
+      "\n",
+      "When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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                       {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('9abd5833-a1ba-4115-967b-08e6110d75a3');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plotly.express.scatter(x=embedding[:,0],\n",
+    "                       y=embedding[:,1],\n",
+    "                       template=\"simple_white\",\n",
+    "                       hover_name=np.array([\"cell_\" + str(i) for i in range(ot_dmats[0].shape[0])]),\n",
+    "                       color = np.array([str(c) for c in cell_metadata['locations']])\n",
+    "                       )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "86df85ac",
+   "metadata": {},
+   "source": [
+    "## Applying existing cell image analysis methods to mapped cells"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "064876c8",
+   "metadata": {},
+   "source": [
+    "In this tutorial, we use optimal transport distances to quantify differences in subcellular protein localization after mapping each cell to the anchor cell morphology. However, you can apply any existing cell image analysis method (such as CellProfiler or Cytoself) to the mapped cells. To use external tools, we can the mapped cells as individual images for downstream processing."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7de842c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "output_dir = '/path/to/save/mapped/cell/images/'\n",
+    "cell_image_channels = ['nucleus', 'protein']\n",
+    "for i in range(len(cell_objects)):\n",
+    "    # Create a cell object for the mapped cell\n",
+    "    mapped_cell_object = cell_objects[anchor_cell_ind].copy()\n",
+    "    for j, channel in enumerate(channels_to_map):\n",
+    "        mapped_cell_object.intensities[channel] = mapped_distbs[j][i]\n",
+    "    # Generate cell image from mapped cell object\n",
+    "    mapped_cell_image = make_cell_image(mapped_cell_object, channels=cell_image_channels)\n",
+    "    # Write mapped cell image to file\n",
+    "    ski.io.imsave(os.path.join(output_dir, f'mapped_cell_image_{i}.tif'), mapped_cell_image)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c37a71ec",
+   "metadata": {},
+   "source": [
+    "Note, the cell images generated by the `make_cell_image` function are multi-channel images where the first channel is the cell segmentation mask, and subsequent channels are specified by the `channels` parameter."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8b7a9703",
+   "metadata": {},
+   "source": [
+    "## Utilizing multiple anchor cells"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0930f006",
+   "metadata": {},
+   "source": [
+    "One characteristic of the CellAligner algorithm is that localization analysis following the anchor cell mapping can be dependent on the choice of anchor cell to map to. While in practice we've observed that choosing centroid cell based on the GW morphology space results in informative localization analyses, one may want their analysis to be more robust to the choice of anchor cell. To address this, we suggest mapping the protein distributions of each cell to multiple anchor cells, and integrating the resulting localization spaces. One natural way to select a set of anchor cells is to first cluster the GW morphology space and select the centroid cell of each morphological cluster, thus utilizing a broad range of cellular morphologies in constructing each localization space. Here we utilize OT to construct separate localization spaces for each anchor cell. Note, since this approach involves repeating the GW-based mapping and OT computations per each anchor cell, it will substatially increase the runtime of the analysis."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "a0d31aeb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x500 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Find centroid cell for each GW morphology cluster\n",
+    "cluster_centroids = []\n",
+    "for c in np.unique(gw_clusters):\n",
+    "    cluster_inds = np.where(gw_clusters == c)[0]\n",
+    "    # subset the GW distance matrix to only the cells in the cluster\n",
+    "    gw_dmat_cluster = gw_dmat[np.ix_(cluster_inds, cluster_inds)]\n",
+    "    # find the centroid cell in the cluster\n",
+    "    cluster_centroid_idx = find_centroid(gw_dmat_cluster)\n",
+    "    cluster_centroid = cluster_inds[cluster_centroid_idx]\n",
+    "    cluster_centroids.append(cluster_centroid)\n",
+    "\n",
+    "# Visualize centroid cells for each GW morphology cluster\n",
+    "fig, axes = plt.subplots(1, len(cluster_centroids), figsize=(15, 5))\n",
+    "for ax, i in zip(axes, cluster_centroids):\n",
+    "    plot_cell_image(cell_objects[i], channels=['nucleus'], ax=ax)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "60e26557",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "centroid_mapped_distbs = []\n",
+    "centroid_ot_dmats = []\n",
+    "for target_cell_ind in cluster_centroids[1:]:\n",
+    "    # Mapping all cells to anchor cell\n",
+    "    mapped_distbs = map_to_cell_parallel(cell_objects, \n",
+    "                                        channels_to_map, \n",
+    "                                        target_cell_ind, # cell to map to\n",
+    "                                        method='fused', # 'fused' for full mapping, 'fused' for partial mapping\n",
+    "                                        fused_channel='nucleus', # addition info to consider for mapping\n",
+    "                                        fused_cost=1000, fused_param=0.1, # controls weight of additional info\n",
+    "                                        compartment_specific=True, # enforces strict mapping of nucleus to nucleus\n",
+    "                                        num_processes=cpu_count(), chunksize=1) # parallelization parameters\n",
+    "    # Compute OT distance matrix for the mapped protein distributions\n",
+    "    ot_dmats = gw_mapped_ot_pairwise_parallel(cell_objects[target_cell_ind], mapped_distbs, num_processes=cpu_count(), chunksize=20)\n",
+    "    centroid_mapped_distbs.append(mapped_distbs)\n",
+    "    centroid_ot_dmats.append(ot_dmats)\n",
+    "\n",
+    "    out_dir = '/path/to/save/anchor/mapped/distances/'\n",
+    "    for target_cell_ind, mapped_distbs, ot_dmats in zip(cluster_centroids, centroid_mapped_distbs, centroid_ot_dmats):\n",
+    "        with open(os.path.join(out_dir, f'anchor_{target_cell_ind}_mapped_distbs.pickle'), 'wb') as f:\n",
+    "            pickle.dump(mapped_distbs, f, protocol=pickle.HIGHEST_PROTOCOL)\n",
+    "        with open(os.path.join(out_dir, f'anchor_{target_cell_ind}_ot_dmats.pickle'), 'wb') as f:\n",
+    "            pickle.dump(ot_dmats, f, protocol=pickle.HIGHEST_PROTOCOL)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3c0b69e4",
+   "metadata": {},
+   "source": [
+    "Having computed the OT localization spaces for each cluster centroid, we will now build a consolidated space that integrates information from each localization space. For this purpose, we use the Weighted Nearest Neighbors (WNN) algorithm introduced in:\n",
+    "\n",
+    "\\- Hao, Y. et al. [Integrated analysis of multimodal single-cell data.](https://www.sciencedirect.com/science/article/pii/S0092867421005833) Cell 184, 3573-3587 (2021).\n",
+    "\n",
+    "To do this, we construct instances of the `Modality` class for each input. The input to `cajal.wnn.wnn()` is a list of Modality objects and a number of nearest neighbors to consider in each space."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dd369efe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cajal.wnn\n",
+    "\n",
+    "# Extract protein OT dmat from each centroid\n",
+    "centroid_protein_ot_dmats = [ot_dmats[0] for ot_dmats in centroid_ot_dmats]\n",
+    "# Integrate OT localization spaces from each centroid cell using WNN\n",
+    "integrated_space = 1-cajal.wnn.wnn(centroid_protein_ot_dmats, 5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4e979675",
+   "metadata": {},
+   "source": [
+    "The similarity function returned by the weighted nearest neighbors algorithm is asymmetric. For this reason, the term \"space\" here is somewhat imprecise. To visualize the consolidated space using UMAP, it is therefore convenient to symmetrize the matrix."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "64fe8dd2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def symmetrize(a):\n",
+    "    a = a.copy()\n",
+    "    a[a == 0] = np.max(a)\n",
+    "    b = a + a.T\n",
+    "    b = np.minimum(a,b)\n",
+    "    b = np.minimum(b,a.T)\n",
+    "    d=np.zeros(a.shape[0],dtype=int)\n",
+    "    b[d,d]=0\n",
+    "    return np.array(b)\n",
+    "\n",
+    "wnn_dmat = symmetrize(integrated_space)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "64dd0a71",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Compute UMAP representation of the OT localization space\n",
+    "reducer = umap.UMAP(metric=\"precomputed\", random_state=1)\n",
+    "embedding = reducer.fit_transform(wnn_dmat)\n",
+    "\n",
+    "# Visualize the OT localization space\n",
+    "plotly.express.scatter(x=embedding[:,0],\n",
+    "                       y=embedding[:,1],\n",
+    "                       template=\"simple_white\",\n",
+    "                       hover_name=[\"cell_\" + str(i) for i in range(wnn_dmat.shape[0])],\n",
+    "                       color = [str(c) for c in cell_metadata['locations']]\n",
+    "                       )"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/notebooks/Example_7.ipynb b/docs/notebooks/Example_7.ipynb
new file mode 100644
index 0000000..04ba9ea
--- /dev/null
+++ b/docs/notebooks/Example_7.ipynb
@@ -0,0 +1,7830 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "65da9095",
+   "metadata": {},
+   "source": [
+    "# Tutorial 7: Quantifying subcellular protein localization in very large datasets (dCellAligner-OT)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1b6d513c",
+   "metadata": {},
+   "source": [
+    "The Fused Gromov-Wasserstein mapping between two cells with 1000 points takes around 3 s to compute, and the optimal transport (OT) distance between the two mapped distributions takes aroud 18 ms. While number of Fused Gromov-Wasserstein mapping computations scales linearly with the number of cells, the number of Wasserstein computations of mapped distributions scales quadratically, which can result in very long runtimes in datasets with 100s of thousands of cells. For these large datasets, we've provided a deep learning framework, deep CellAligner Optimal Transport (dCellAligner-OT) to reduce the necessary computation. This approach enables users to compute the CellAligner mappings and OT distances for only a subset of cells, and train a deep learning model to predict the mappings and distances for the remaining cells. \n",
+    "\n",
+    "We will demonstrate this approach on a dataset of 16,787 neurons with simulated subcellular protein distributions. For this analysis, we assume that the image data has already been processed into CellAligner cell objects, which can be downloaded from this [link](https://www.dropbox.com/scl/fi/mb1wx32lfqiqpu3mkhni9/sim_neuron_cell_objects.zip?rlkey=113rcvxp1qgpp0wbih63phu5t&dl=0)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dd0b2ff4",
+   "metadata": {},
+   "source": [
+    "First, we must convert the cell objects, as well as the mapped subcellular protein distributions, into cell-specific images that the dGW-OT model can take as input. The `make_NN_training_data` function creates two directories (`cell_images` and `mapped_cell_images`) to store the cell and mapped cell images."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4ca74919",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_path = '/path/to/saved/cell/objects'\n",
+    "cell_object_paths = [os.path.join(data_path, fname) for fname in os.listdir(data_path)]\n",
+    "anchor_ind = 658 # index of anchor cell (which other cells are mapped to)\n",
+    "anchor_cell_obj_path = cell_object_paths[anchor_ind]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6ddb8254",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cell_image_path = '/path/to/saved/cell/images'\n",
+    "make_NN_training_data(save_path=cell_image_path, # path to saved cell images\n",
+    "                      cell_objects=cell_object_paths,\n",
+    "                      reference_cell_object=anchor_cell_obj_path,\n",
+    "                      mapped_channel_distributions=mapped_distbs[0], # using the mapped protein distribution\n",
+    "                      channel='protein', # this should match the mapped distributions used\n",
+    "                      center='nucleus', # center='cell' when using Fused GW mappings, center='nucleus' when using Unbalanced Fused GW mappings\n",
+    "                      shape=(256,256), # shape of the output cell images\n",
+    "                      rescale=False) # rescale=True when using Fused GW mappings, rescale=False when using Unbalanced Fused GW mappings"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1b03bd80",
+   "metadata": {},
+   "source": [
+    "To avoid the model overfitting to the training dataset, we split our data into a training, validation, and test set. Since, the dCellAligner model does not need to trained on every pair of training cells, the OT distances between the mapped protein distributions are only computed for a subset of pairs. In practice, we've observed good model performance when training on around 10,000 cells and 30,000 cell pairs. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b18b026f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generate train/val/test dataset cell pairs\n",
+    "train_pairs, val_pairs, test_pairs = generate_dataset_split_pairs(indices=list(range(len(cell_object_paths))), \n",
+    "                                                                  n_pairs=[35000, 10000, 5000], # number of cell pairs in train/val/test sets\n",
+    "                                                                  proportions=[0.7, 0.2, 0.1]) # proportion of cells in train/val/test sets\n",
+    "\n",
+    "# Store unique indices in each set\n",
+    "train_inds = np.unique(train_pairs)\n",
+    "val_inds = np.unique(val_pairs)\n",
+    "test_inds = np.unique(test_pairs)\n",
+    "\n",
+    "# Compute GW-mapped OT distances for all pairs in train/val/test sets\n",
+    "train_ot_dists = gw_mapped_ot_pairwise_parallel(cell_object_paths[anchor_ind], mapped_distbs, \n",
+    "                                                num_processes=12, chunksize=20, index_pairs=train_pairs)[0]\n",
+    "val_ot_dists = gw_mapped_ot_pairwise_parallel(cell_object_paths[anchor_ind], mapped_distbs, \n",
+    "                                              num_processes=12, chunksize=20, index_pairs=val_pairs)[0]\n",
+    "test_ot_dists = gw_mapped_ot_pairwise_parallel(cell_object_paths[anchor_ind], mapped_distbs, \n",
+    "                                               num_processes=12, chunksize=20, index_pairs=test_pairs)[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9ccd1918",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create PairedDataset objects for train/val/test sets for training dGW-OT model\n",
+    "train_data = PairedDataset(\n",
+    "    image_dir = cell_image_path, \n",
+    "    mapped_image_dir = mapped_cell_image_path,\n",
+    "    distances = train_ot_dists.astype('float32'), \n",
+    "    image_pairs = train_pairs,\n",
+    "    transform = transforms.Compose([transforms.ToImage(),\n",
+    "                                    transforms.ToDtype(torch.float32)]),\n",
+    ")\n",
+    "\n",
+    "val_data = PairedDataset(\n",
+    "    image_dir = cell_image_path, \n",
+    "    mapped_image_dir = mapped_cell_image_path,\n",
+    "    distances = val_ot_dists.astype('float32'), \n",
+    "    image_pairs = val_pairs,\n",
+    "    transform = transforms.Compose([transforms.ToImage(),\n",
+    "                                    transforms.ToDtype(torch.float32)]),\n",
+    ")\n",
+    "\n",
+    "test_data = PairedDataset(\n",
+    "    image_dir = cell_image_path, \n",
+    "    mapped_image_dir = mapped_cell_image_path,\n",
+    "    distances = test_ot_dists.astype('float32'), \n",
+    "    image_pairs = test_pairs,\n",
+    "    transform = transforms.Compose([transforms.ToImage(),\n",
+    "                                    transforms.ToDtype(torch.float32)]),\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "112f9ac4",
+   "metadata": {},
+   "source": [
+    "We initialize the dCellAligner-OT model and begin the two-stage training process. First, during pretraining, the model learns the Fused (Unbalanced) Gromov-Wasserstein mapping operation. More specifically, for each cell, the model learns to predict the subcellular protein distribution after mapping to the anchor cell.\n",
+    "\n",
+    "The dCellAligner-OT model pretraining took around 24 hours running on a Nvidia RTX 4500 Ada."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e95eaaf0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
+      "  warnings.warn(\n",
+      "/opt/conda/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=EfficientNet_B4_Weights.IMAGENET1K_V1`. You can also use `weights=EfficientNet_B4_Weights.DEFAULT` to get the most up-to-date weights.\n",
+      "  warnings.warn(msg)\n",
+      "Epoch 1/50: 100%|██████████| 2099/2099 [31:43<00:00,  1.10it/s, loss=0.319]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/50, Loss: 0.395456\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 2/50: 100%|██████████| 2099/2099 [32:10<00:00,  1.09it/s, loss=0.21] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 2/50, Loss: 0.321780\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 3/50: 100%|██████████| 2099/2099 [26:44<00:00,  1.31it/s, loss=0.203] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 3/50, Loss: 0.287171\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 4/50: 100%|██████████| 2099/2099 [26:33<00:00,  1.32it/s, loss=0.0909]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 4/50, Loss: 0.214656\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 5/50: 100%|██████████| 2099/2099 [25:30<00:00,  1.37it/s, loss=0.111] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 5/50, Loss: 0.186027\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 6/50: 100%|██████████| 2099/2099 [25:34<00:00,  1.37it/s, loss=0.814] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 6/50, Loss: 0.162329\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 7/50: 100%|██████████| 2099/2099 [25:44<00:00,  1.36it/s, loss=0.133] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 7/50, Loss: 0.147380\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 8/50: 100%|██████████| 2099/2099 [25:36<00:00,  1.37it/s, loss=0.166] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 8/50, Loss: 0.132804\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 9/50: 100%|██████████| 2099/2099 [25:40<00:00,  1.36it/s, loss=0.112] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 9/50, Loss: 0.125499\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 10/50: 100%|██████████| 2099/2099 [25:41<00:00,  1.36it/s, loss=0.201] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 10/50, Loss: 0.116555\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 11/50: 100%|██████████| 2099/2099 [25:15<00:00,  1.39it/s, loss=0.14]  \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 11/50, Loss: 0.114798\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 12/50: 100%|██████████| 2099/2099 [25:30<00:00,  1.37it/s, loss=0.0448]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 12/50, Loss: 0.107108\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 13/50: 100%|██████████| 2099/2099 [25:31<00:00,  1.37it/s, loss=0.0551]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 13/50, Loss: 0.103031\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 14/50: 100%|██████████| 2099/2099 [25:38<00:00,  1.36it/s, loss=0.252] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 14/50, Loss: 0.098223\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 15/50: 100%|██████████| 2099/2099 [26:35<00:00,  1.32it/s, loss=0.0921]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 15/50, Loss: 0.094357\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 16/50: 100%|██████████| 2099/2099 [25:32<00:00,  1.37it/s, loss=0.134] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 16/50, Loss: 0.093203\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 17/50: 100%|██████████| 2099/2099 [25:32<00:00,  1.37it/s, loss=0.0605]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 17/50, Loss: 0.090122\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 18/50: 100%|██████████| 2099/2099 [25:29<00:00,  1.37it/s, loss=0.0553]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 18/50, Loss: 0.086902\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 19/50: 100%|██████████| 2099/2099 [25:34<00:00,  1.37it/s, loss=0.0733]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 19/50, Loss: 0.083662\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 20/50: 100%|██████████| 2099/2099 [25:40<00:00,  1.36it/s, loss=0.0487]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 20/50, Loss: 0.082714\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 21/50: 100%|██████████| 2099/2099 [25:36<00:00,  1.37it/s, loss=0.104] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 21/50, Loss: 0.081393\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 22/50: 100%|██████████| 2099/2099 [25:43<00:00,  1.36it/s, loss=0.0671]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 22/50, Loss: 0.078136\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 23/50: 100%|██████████| 2099/2099 [25:38<00:00,  1.36it/s, loss=0.115] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 23/50, Loss: 0.077529\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 24/50: 100%|██████████| 2099/2099 [25:29<00:00,  1.37it/s, loss=0.0573]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 24/50, Loss: 0.077468\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 25/50: 100%|██████████| 2099/2099 [25:39<00:00,  1.36it/s, loss=0.0407]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 25/50, Loss: 0.074328\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 26/50: 100%|██████████| 2099/2099 [25:49<00:00,  1.35it/s, loss=0.0787]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 26/50, Loss: 0.071749\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 27/50: 100%|██████████| 2099/2099 [25:39<00:00,  1.36it/s, loss=0.0695]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 27/50, Loss: 0.070086\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 28/50: 100%|██████████| 2099/2099 [31:35<00:00,  1.11it/s, loss=0.0704]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 28/50, Loss: 0.068668\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 29/50: 100%|██████████| 2099/2099 [32:49<00:00,  1.07it/s, loss=0.0388]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 29/50, Loss: 0.064706\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 30/50: 100%|██████████| 2099/2099 [32:25<00:00,  1.08it/s, loss=0.0637]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 30/50, Loss: 0.063919\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 31/50: 100%|██████████| 2099/2099 [32:08<00:00,  1.09it/s, loss=0.0571]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 31/50, Loss: 0.061969\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 32/50: 100%|██████████| 2099/2099 [32:03<00:00,  1.09it/s, loss=0.0344]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 32/50, Loss: 0.062507\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 33/50: 100%|██████████| 2099/2099 [31:52<00:00,  1.10it/s, loss=0.0394]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 33/50, Loss: 0.059359\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 34/50: 100%|██████████| 2099/2099 [32:10<00:00,  1.09it/s, loss=0.0489]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 34/50, Loss: 0.058132\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 35/50: 100%|██████████| 2099/2099 [31:55<00:00,  1.10it/s, loss=0.0799]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 35/50, Loss: 0.057911\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 36/50: 100%|██████████| 2099/2099 [32:38<00:00,  1.07it/s, loss=0.0397]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 36/50, Loss: 0.056321\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 37/50: 100%|██████████| 2099/2099 [32:11<00:00,  1.09it/s, loss=0.0427]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 37/50, Loss: 0.054310\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 38/50: 100%|██████████| 2099/2099 [28:48<00:00,  1.21it/s, loss=0.0631]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 38/50, Loss: 0.056188\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 39/50: 100%|██████████| 2099/2099 [30:51<00:00,  1.13it/s, loss=0.0767] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 39/50, Loss: 0.052495\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 40/50: 100%|██████████| 2099/2099 [30:20<00:00,  1.15it/s, loss=0.0486] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 40/50, Loss: 0.050635\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 41/50: 100%|██████████| 2099/2099 [30:57<00:00,  1.13it/s, loss=0.0269]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 41/50, Loss: 0.049588\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 42/50: 100%|██████████| 2099/2099 [27:57<00:00,  1.25it/s, loss=0.0557] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 42/50, Loss: 0.050044\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 43/50: 100%|██████████| 2099/2099 [28:45<00:00,  1.22it/s, loss=0.0321]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 43/50, Loss: 0.047658\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 44/50: 100%|██████████| 2099/2099 [32:27<00:00,  1.08it/s, loss=0.0464]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 44/50, Loss: 0.047649\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 45/50: 100%|██████████| 2099/2099 [32:20<00:00,  1.08it/s, loss=0.0456]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 45/50, Loss: 0.046697\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 46/50: 100%|██████████| 2099/2099 [33:05<00:00,  1.06it/s, loss=0.0484]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 46/50, Loss: 0.045813\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 47/50: 100%|██████████| 2099/2099 [32:50<00:00,  1.06it/s, loss=0.06]  \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 47/50, Loss: 0.046260\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 48/50: 100%|██████████| 2099/2099 [31:56<00:00,  1.10it/s, loss=0.031] \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 48/50, Loss: 0.044359\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 49/50: 100%|██████████| 2099/2099 [33:13<00:00,  1.05it/s, loss=0.06]  \n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 49/50, Loss: 0.043685\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Epoch 50/50: 100%|██████████| 2099/2099 [44:40<00:00,  1.28s/it, loss=0.0741]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 50/50, Loss: 0.044747\n"
+     ]
+    }
+   ],
+   "source": [
+    "model = dCellAlignerNetwork(embedding_size=50, image_size=image_shape[0])\n",
+    "model = pretrain_model(train_data, model, dataset_name='sim_neuron', batch_size=8, epochs=50, lr=1e-3, \n",
+    "                       device='cuda', save_path='/path/to/save/pretrained/model/', return_model=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bd50f6b6",
+   "metadata": {},
+   "source": [
+    "Next, during training, the model learns to extract features that preserve the CellAligner-OT distances between cells in the feature space, in addition to predicting the mapped protein distributions.\n",
+    "\n",
+    "The model is optimized with respect to two main loss components. The distance loss measures how well the the CellAligner-OT distances are preserved in the model's latent feature space, while the reconstruction loss measures accurately the model predicts the mapped protein distributions. The `dist_weight` parameter controls the relative weighting of these loss components during training. Ideally, the relatively contribution of both losses, which can be viewed by setting `show_loss_components = True`, should be around the same order of magnitude.\n",
+    "\n",
+    "To avoid overfitting, we apply L1 regularization (adjusted by `weight_decay`) and L2 regularization (adjusted by `sparsity_weight`, and `sparsity_target`). If the dGW-OT model is overfitting, you could experiment with increasing the `weight_decay` and `sparsity_weight`, or decreasing `sparsity_target`, to further regularize the model to resolve the issue.\n",
+    "\n",
+    "The dCellAligner-OT model training took around 48 hours running on a Nvidia RTX 4500 Ada."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6704bb14",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Training on device: cuda\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loading pretrained weights from /home/jovyan/e/rkhu/Projects/CAJAL_spatial/data/package_dev/dgwote/models/pretrained_sim_neuron.pth\n",
+      "Starting training for 25 epochs...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                   \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch   1/25: Train Loss: 141.416748, Val Loss: 1.089571\n",
+      "    → New best model saved (val_loss: 1.089571)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                 \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch   2/25: Train Loss: 0.840245, Val Loss: 0.695685\n",
+      "    → New best model saved (val_loss: 0.695685)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                 \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch   3/25: Train Loss: 0.717471, Val Loss: 0.754261\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                 \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch   4/25: Train Loss: 0.792152, Val Loss: 0.692320\n",
+      "    → New best model saved (val_loss: 0.692320)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                 \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch   5/25: Train Loss: 0.745411, Val Loss: 0.646097\n",
+      "    → New best model saved (val_loss: 0.646097)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                 \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch   6/25: Train Loss: 0.722791, Val Loss: 0.721418\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                 \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch   7/25: Train Loss: 0.638340, Val Loss: 0.677450\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                 \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch   8/25: Train Loss: 0.588748, Val Loss: 0.703082\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                 \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch   9/25: Train Loss: 0.543514, Val Loss: 0.692757\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  10/25: Train Loss: 0.513111, Val Loss: 0.669878\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  11/25: Train Loss: 0.472981, Val Loss: 0.640772\n",
+      "    → New best model saved (val_loss: 0.640772)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  12/25: Train Loss: 0.449233, Val Loss: 0.549593\n",
+      "    → New best model saved (val_loss: 0.549593)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  13/25: Train Loss: 0.430085, Val Loss: 0.570916\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  14/25: Train Loss: 0.401759, Val Loss: 0.550535\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  15/25: Train Loss: 0.391115, Val Loss: 0.569693\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  16/25: Train Loss: 0.377396, Val Loss: 0.542184\n",
+      "    → New best model saved (val_loss: 0.542184)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  17/25: Train Loss: 0.361147, Val Loss: 0.554994\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  18/25: Train Loss: 0.347979, Val Loss: 0.631908\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  19/25: Train Loss: 0.335832, Val Loss: 0.513285\n",
+      "    → New best model saved (val_loss: 0.513285)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  20/25: Train Loss: 0.316852, Val Loss: 0.553770\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  21/25: Train Loss: 0.311076, Val Loss: 0.506876\n",
+      "    → New best model saved (val_loss: 0.506876)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  22/25: Train Loss: 0.297790, Val Loss: 0.498590\n",
+      "    → New best model saved (val_loss: 0.498590)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  23/25: Train Loss: 0.293798, Val Loss: 0.523204\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  24/25: Train Loss: 0.282792, Val Loss: 0.474511\n",
+      "    → New best model saved (val_loss: 0.474511)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                  \r"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  25/25: Train Loss: 0.274882, Val Loss: 0.466883\n",
+      "    → New best model saved (val_loss: 0.466883)\n",
+      "\n",
+      "Evaluating on test set...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.10/site-packages/cajal/subcellular_dl.py:1128: UserWarning: Using a target size (torch.Size([8])) that is different to the input size (torch.Size([8, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
+      "  with torch.no_grad():\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Final Test Loss: 10.465317\n",
+      "\n",
+      "Saving model...\n",
+      "Saved DWE model to /home/jovyan/e/rkhu/Projects/CAJAL_spatial/data/package_dev/dgwote/models//sim_neuron_final.pth\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Train the DGWOTE model with the prepared datasets\n",
+    "models, train_losses, val_losses = train_dCellAligner(\n",
+    "    train_data, val_data, test_data,\n",
+    "    save_path='/path/to/save/fully/trained/model/',\n",
+    "    dataset_name='sim_neuron',\n",
+    "    embedding_size=50,          # 50-dimensional embeddings\n",
+    "    image_shape=(256, 256),      # Input image shape\n",
+    "    device='cuda',               # Use GPU if available\n",
+    "    batch_size=8,             # Batch size for training\n",
+    "    epochs=25,                  # Number of epochs\n",
+    "    learning_rate=0.001,        # Adam learning rate\n",
+    "    dist_weight=0.1,            # Distance weight (vs reconstruction loss)\n",
+    "    early_stopping=False,       # Disable early stopping\n",
+    "    weight_decay=1e-4,          # L2 regularization weight\n",
+    "    lr_gamma=0.95,           # Learning rate decay factor\n",
+    "    sparsity_weight=1e-3,    # Sparsity weight for the embedding loss\n",
+    "    sparsity_target=0.1,     # Target sparsity for the embedding loss\n",
+    "    pretrained_path=\"/path/to/save/pretrained/model/sim_neuron_pretrained_best.pth\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5a5a11d0",
+   "metadata": {},
+   "source": [
+    "The `train_dCellAligner` function saves two versions of the model, the best performing model based on performance on validation dataset (`<dataset_name>_best.pth`), and the final model after all training epochs (`<dataset_name>_final.pth`). Here, we load the best model based on validation loss."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cff2c062",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
+      "  warnings.warn(\n",
+      "/opt/conda/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=EfficientNet_B4_Weights.IMAGENET1K_V1`. You can also use `weights=EfficientNet_B4_Weights.DEFAULT` to get the most up-to-date weights.\n",
+      "  warnings.warn(msg)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loaded dGWOT model from /home/jovyan/e/rkhu/Projects/CAJAL_spatial/data/package_dev/dgwote/models/sim_neuron_best.pth\n",
+      "Config: {'input_channels': 3, 'embedding_size': 50, 'image_size': 256}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# load best model\n",
+    "model = load_dCellAligner_model('/path/to/save/fully/trained/model/sim_neuron_best.pth')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fefc2421",
+   "metadata": {},
+   "source": [
+    "To evaluate model performance, we can look at how well the true CellAligner-OT distances are preserved in the dCellAligner-OT feature space. We can also look at how well the model predicted the mapped protein distribution."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f7cf85e3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Extracting embeddings for 1670 unique images...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Extracting embeddings:   0%|          | 0/27 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Extracting embeddings: 100%|██████████| 27/27 [00:38<00:00,  1.42s/it]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Computing distances for 5000 pairs...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Computing pairwise distances: 100%|██████████| 5000/5000 [00:00<00:00, 69314.51it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_distance_predictions(model, test_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c8fcfd80",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1500x600 with 10 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_reconstruction_comparison(model, test_data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f88d0ee",
+   "metadata": {},
+   "source": [
+    "Finally, we can use the model to extract features that capture variation in subcellular protein localization for datasets of arbitrary size without any additional training or Wasserstein computations. We can perform the same analyses with this feature space as we would with the CellAligner-OT localization space including clustering, visualization, etc."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "edaa7b88",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Extracting embeddings for 1670 unique images from PairedDataset...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Extracting embeddings: 100%|██████████| 27/27 [01:18<00:00,  2.92s/it]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(1670, 50)"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "embeddings = extract_embeddings(model, test_data)\n",
+    "embeddings.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "827f1b72",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.10/site-packages/plotly/express/_core.py:1992: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
+      "  sf: grouped.get_group(s if len(s) > 1 else s[0])\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),\"pixel\"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else K=tt=lt*q(Q,ut),ft.text=J+tt;ft.text+=ct,tt+=ct,K+=ct,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(Y)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(z-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select(\"rect\").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,H-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),I.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){O.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(H)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(H));if(g(Z,q,e),k.annotationPosition&&Z.node().parentNode&&!a){var Y=l,W=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/X,W+=e.standoff*(p-f)/X}var J,K,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-W),transform:s(Y,W)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);J=t.x,K=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var 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e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},13011:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(82884),o=r(71828),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var 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n=r(92605),i=r(44317);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)(\"annotations\"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){\"use strict\";var n=r(50215),i=r(30962).overrideAll,a=r(44467).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},5485:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},20226:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(25625),s=r(26997);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},82188:function(t,e,r){\"use strict\";var n=r(92605).drawRaw,i=r(63538),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},2468:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(26997)}}},layoutAttributes:r(26997),handleDefaults:r(20226),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(5485),draw:r(82188)}},7561:function(t,e,r){\"use 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date data.\"}var g={xcalendar:d(v(\"x\"))},y=i.extendFlat({},g,{ycalendar:d(v(\"y\"))}),m=i.extendFlat({},y,{zcalendar:d(v(\"z\"))}),x=d([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));t.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:m,surface:m,mesh3d:m,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:d([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:u,handleTraceDefaults:function(t,e,r,n){for(var 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n=l(t*f*.8,2),i=l(.8*t,2),a=l(1.6*t,2),o=l(4*t,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",\"+i+s+n+\",\"+i+s+\"0,-\"+a+s+\"-\"+n+\",\"+i+\"Z\")}},\"star-triangle-down\":{n:20,f:function(t,e,r){if(v(e))return u;var n=l(t*f*.8,2),i=l(.8*t,2),a=l(1.6*t,2),o=l(4*t,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return g(e,r,\"M\"+n+\",-\"+i+s+\"-\"+n+\",-\"+i+s+\"0,\"+a+s+n+\",-\"+i+\"Z\")}},\"star-square\":{n:21,f:function(t,e,r){if(v(e))return u;var n=l(1.1*t,2),i=l(2*t,2),a=\"A \"+i+\",\"+i+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",-\"+n+a+\"-\"+n+\",\"+n+a+n+\",\"+n+a+n+\",-\"+n+a+\"-\"+n+\",-\"+n+\"Z\")}},\"star-diamond\":{n:22,f:function(t,e,r){if(v(e))return u;var n=l(1.4*t,2),i=l(1.9*t,2),a=\"A \"+i+\",\"+i+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",0\"+a+\"0,\"+n+a+n+\",0\"+a+\"0,-\"+n+a+\"-\"+n+\",0Z\")}},\"diamond-tall\":{n:23,f:function(t,e,r){if(v(e))return u;var n=l(.7*t,2),i=l(1.4*t,2);return g(e,r,\"M0,\"+i+\"L\"+n+\",0L0,-\"+i+\"L-\"+n+\",0Z\")}},\"diamond-wide\":{n:24,f:function(t,e,r){if(v(e))return u;var n=l(1.4*t,2),i=l(.7*t,2);return g(e,r,\"M0,\"+i+\"L\"+n+\",0L0,-\"+i+\"L-\"+n+\",0Z\")}},hourglass:{n:25,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M\"+n+\",\"+n+\"H-\"+n+\"L\"+n+\",-\"+n+\"H-\"+n+\"Z\")},noDot:!0},bowtie:{n:26,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M\"+n+\",\"+n+\"V-\"+n+\"L-\"+n+\",\"+n+\"V-\"+n+\"Z\")},noDot:!0},\"circle-cross\":{n:27,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M0,\"+n+\"V-\"+n+\"M\"+n+\",0H-\"+n+\"M\"+n+\",0A\"+n+\",\"+n+\" 0 1,1 0,-\"+n+\"A\"+n+\",\"+n+\" 0 0,1 \"+n+\",0Z\")},needLine:!0,noDot:!0},\"circle-x\":{n:28,f:function(t,e,r){if(v(e))return u;var n=l(t,2),i=l(t/c,2);return g(e,r,\"M\"+i+\",\"+i+\"L-\"+i+\",-\"+i+\"M\"+i+\",-\"+i+\"L-\"+i+\",\"+i+\"M\"+n+\",0A\"+n+\",\"+n+\" 0 1,1 0,-\"+n+\"A\"+n+\",\"+n+\" 0 0,1 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ot,st,lt,ut,ct=d.select(\"g.legend\"),ft=H(r,ct.node()),ht=ft.width+2*S,pt=ft.height+2*S,dt=W[0],vt=(dt.x0+dt.x1)/2,gt=(dt.y0+dt.y1)/2,yt=!(g.traceIs(dt.trace,\"bar-like\")||g.traceIs(dt.trace,\"box-violin\"));\"y\"===P?yt?(st=gt-S,ot=gt+S):(st=Math.min.apply(null,W.map((function(t){return Math.min(t.y0,t.y1)}))),ot=Math.max.apply(null,W.map((function(t){return Math.max(t.y0,t.y1)})))):st=ot=o.mean(W.map((function(t){return(t.y0+t.y1)/2})))-pt/2,\"x\"===P?yt?(lt=vt+S,ut=vt-S):(lt=Math.max.apply(null,W.map((function(t){return Math.max(t.x0,t.x1)}))),ut=Math.min.apply(null,W.map((function(t){return Math.min(t.x0,t.x1)})))):lt=ut=o.mean(W.map((function(t){return(t.x0+t.x1)/2})))-ht/2;var mt,xt,bt=E._offset,_t=L._offset;return ut+=bt-ht,st+=_t-pt,mt=(lt+=bt)+ht<B&&lt>=0?lt:ut+ht<B&&ut>=0?ut:bt+ht<B?bt:lt-vt<vt-ut+ht?B-ht:0,mt+=S,xt=(ot+=_t)+pt<N&&ot>=0?ot:st+pt<N&&st>=0?st:_t+pt<N?_t:ot-gt<gt-st+pt?N-pt:0,xt+=S,ct.attr(\"transform\",s(mt-1,xt-1)),ct}var wt=d.selectAll(\"g.hovertext\").data(t,(function(t){return C(t)}));return wt.enter().append(\"g\").classed(\"hovertext\",!0).each((function(){var t=n.select(this);t.append(\"rect\").call(p.fill,p.addOpacity(f,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(h.font,T,k)})),wt.exit().remove(),wt.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var d=t.bgcolor||o,v=p.combine(p.opacity(d)?d:p.defaultLine,f),g=p.combine(p.opacity(o)?o:p.defaultLine,f),y=t.borderColor||p.contrast(v),m=I(t,j,a,i,D,e),x=m[0],b=m[1],w=e.select(\"text.nums\").call(h.font,t.fontFamily||T,t.fontSize||k,t.fontColor||y).text(x).attr(\"data-notex\",1).call(c.positionText,0,0).call(c.convertToTspans,r),A=e.select(\"text.name\"),E=0,L=0;if(b&&b!==x){A.call(h.font,t.fontFamily||T,t.fontSize||k,g).text(b).attr(\"data-notex\",1).call(c.positionText,0,0).call(c.convertToTspans,r);var C=H(r,A.node());E=C.width+2*S,L=C.height+2*S}else A.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:v,stroke:y});var P=t.xa._offset+(t.x0+t.x1)/2,O=t.ya._offset+(t.y0+t.y1)/2,z=Math.abs(t.x1-t.x0),R=Math.abs(t.y1-t.y0),U=H(r,w.node()),V=U.width/i._invScaleX,q=U.height/i._invScaleY;t.ty0=(F-U.top)/i._invScaleY,t.bx=V+2*S,t.by=Math.max(q+2*S,L),t.anchor=\"start\",t.txwidth=V,t.tx2width=E,t.offset=0;var 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n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var 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n=r(85555),i=r(44467).templatedArray;r(24695),t.exports=i(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})},75378:function(t,e,r){\"use 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},68804:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(69819),supplyLayoutDefaults:r(81603),includeBasePlot:r(76325)(\"images\"),draw:r(80750),convertCoords:r(75378)}},33030:function(t,e,r){\"use strict\";var 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n=r(73972),i=r(10130);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else g(b,_,m),v=Math.max(v,(x.name||\"\").length)}if(!f.length)return[];var T=!h||!l,k=[];for(a=0;a<f.length;a++){var A=c[f[a]];T?k.push(A[0]):k.push(A)}for(T&&(k=[k]),a=0;a<k.length;a++){var M=1/0;for(o=0;o<k[a].length;o++){var S=k[a][o].trace.legendrank;M>S&&(M=S)}k[a][0]._groupMinRank=M,k[a][0]._preGroupSort=a}var E=function(t,e){return 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rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},c.drawcircle={name:\"drawcircle\",title:function(t){return u(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},c.eraseshape={name:\"eraseshape\",title:function(t){return u(t,\"Erase active shape\")},icon:o.eraseshape,click:s},c.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},c.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},c.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return u(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},c.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return u(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},c.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},c.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return u(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},c.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return u(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},c.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return u(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},c.orbitRotation={name:\"orbitRotation\",title:function(t){return u(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},c.tableRotation={name:\"tableRotation\",title:function(t){return u(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},c.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return u(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},c.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return u(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},c.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},c.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},93348:function(t,e,r){\"use strict\";var n=r(26023),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},35750:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},64168:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){\"use strict\";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},89573:function(t){\"use 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n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551).newShapes,k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return 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if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:s}))}}}else r.indexOf(\"select\")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),\"event\"===r&&ft(k,void 0);l.click(k,e)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&J&&n.selectionDefs&&(J.subtract=xt,n.selectionDefs.push(J),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,W)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},89827:function(t,e,r){\"use strict\";var n=r(50215),i=r(41940),a=r(82196).line,o=r(79952).P,s=r(1426).extendFlat,l=r(44467).templatedArray,u=(r(24695),r(5386).R),c=r(37281);t.exports=l(\"shape\",{visible:{valType:\"boolean\",dflt:!0,editType:\"calc+arraydraw\"},type:{valType:\"enumerated\",values:[\"circle\",\"rect\",\"path\",\"line\"],editType:\"calc+arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},xref:s({},n.xref,{}),xsizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},xanchor:{valType:\"any\",editType:\"calc+arraydraw\"},x0:{valType:\"any\",editType:\"calc+arraydraw\"},x1:{valType:\"any\",editType:\"calc+arraydraw\"},yref:s({},n.yref,{}),ysizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},yanchor:{valType:\"any\",editType:\"calc+arraydraw\"},y0:{valType:\"any\",editType:\"calc+arraydraw\"},y1:{valType:\"any\",editType:\"calc+arraydraw\"},path:{valType:\"string\",editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},line:{color:s({},a.color,{editType:\"arraydraw\"}),width:s({},a.width,{editType:\"calc+arraydraw\"}),dash:s({},o,{editType:\"arraydraw\"}),editType:\"calc+arraydraw\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"arraydraw\"},editable:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"arraydraw\"},texttemplate:u({},{keys:Object.keys(c)}),font:i({editType:\"calc+arraydraw\",colorEditType:\"arraydraw\"}),textposition:{valType:\"enumerated\",values:[\"top 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n=r(7901),i=r(71828);t.exports=function(t,e,r){if(r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var a=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(a)),r(\"newshape.line.dash\")}var o=\"drawline\"===t.dragmode,s=r(\"newshape.label.text\"),l=r(\"newshape.label.texttemplate\");if(s||l){r(\"newshape.label.textangle\");var u=r(\"newshape.label.textposition\",o?\"middle\":\"middle center\");r(\"newshape.label.xanchor\"),r(\"newshape.label.yanchor\",function(t,e){return t?\"bottom\":-1!==e.indexOf(\"top\")?\"top\":-1!==e.indexOf(\"bottom\")?\"bottom\":\"middle\"}(o,u)),r(\"newshape.label.padding\"),i.coerceFont(r,\"newshape.label.font\",e.font)}r(\"activeshape.fillcolor\"),r(\"activeshape.opacity\")}},60165:function(t,e,r){\"use strict\";var n=r(95616),i=r(89995),a=i.CIRCLE_SIDES,o=i.SQRT2,s=r(75549),l=s.p2r,u=s.r2p,c=[0,3,4,5,6,1,2],f=[0,3,4,1,2];function 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m,x,b,_,w=[],T=f[y][0],k=T;switch(T){case\"M\":h[++p]=[],d=+f[y][1],v=+f[y][2],w.push([k,d,v]),g();break;case\"Q\":case\"S\":m=+f[y][1],b=+f[y][2],d=+f[y][3],v=+f[y][4],w.push([k,d,v,m,b]);break;case\"C\":m=+f[y][1],b=+f[y][2],x=+f[y][3],_=+f[y][4],d=+f[y][5],v=+f[y][6],w.push([k,d,v,m,b,x,_]);break;case\"T\":case\"L\":d=+f[y][1],v=+f[y][2],w.push([k,d,v]);break;case\"H\":k=\"L\",d=+f[y][1],w.push([k,d,v]);break;case\"V\":k=\"L\",v=+f[y][1],w.push([k,d,v]);break;case\"A\":k=\"L\";var A=+f[y][1],M=+f[y][2];+f[y][4]||(A=-A,M=-M);var S=d-A,E=v;for(o=1;o<=a/2;o++){var L=2*Math.PI*o/a;w.push([k,S+A*Math.cos(L),E+M*Math.sin(L)])}break;case\"Z\":d===s&&v===c||(d=s,v=c,w.push([k,d,v]))}for(var C=(r||{}).domain,P=e._fullLayout._size,O=r&&\"pixel\"===r.xsizemode,I=r&&\"pixel\"===r.ysizemode,D=!1===i,z=0;z<w.length;z++){for(o=0;o+2<7;o+=2){var R=w[z][o+1],F=w[z][o+2];void 0!==R&&void 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},90551:function(t,e,r){\"use strict\";var n=r(64505),i=n.drawMode,a=n.openMode,o=r(89995),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(75549),d=p.p2r,v=p.r2p,g=r(51873).clearOutline,y=r(60165),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},51873:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},30477:function(t,e,r){\"use strict\";var n=r(21459),i=r(71828),a=r(89298);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},23243:function(t,e,r){\"use strict\";var n=r(98292);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(75067),supplyLayoutDefaults:r(12343),draw:r(44504)}},92998:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(74875),o=r(73972),s=r(71828),l=s.strTranslate,u=r(91424),c=r(7901),f=r(63893),h=r(37822),p=r(18783).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;\"title.text\"===y?v=\"titleText\":-1!==y.indexOf(\"axis\")?v=\"axisTitleText\":y.indexOf(!0)&&(v=\"colorbarTitleText\");var I=t._context.edits[v];\"\"===E?A=0:E.replace(d,\" % \")===m.replace(d,\" % 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n=r(41940),i=r(22399),a=r(1426).extendFlat,o=r(30962).overrideAll,s=r(35025),l=r(44467).templatedArray,u=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:u,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},75909:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},64897:function(t,e,r){\"use strict\";var n=r(71828),i=r(85501),a=r(7163),o=r(75909).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:u}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function u(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},13689:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(7901),o=r(91424),s=r(71828),l=r(63893),u=r(44467).arrayEditor,c=r(18783).LINE_SPACING,f=r(75909),h=r(25849);function p(t){return t._index}function d(t,e){return+t.attr(f.menuIndexAttrName)===e._index}function 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y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,u=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll(\"g.\"+u).data(s.filterVisible(l)),h=c.enter().append(\"g\").classed(u,!0),p=c.exit();\"dropdown\"===o.type?(h.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var 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e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),v=e.font.size*c,g=l.lineCount(h),y=Math.max(v*g,f.minHeight)+f.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),u?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+f.gapButton,r.openHeight+=y+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),u?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(u?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var H=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(H),C&&this.vbar.on(\".drag\",null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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t.constructor(0),s=D(t,e);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(l)),i.set(t),i.set(e.subarray(0,l),t.length)}else{var u=r-e.length,c=t.length-u;n.set(t.subarray(c)),n.set(e,u),i.set(t.subarray(0,c))}else n=t.concat(e),i=r>=0&&r<n.length?n.splice(0,n.length-r):[];return[n,i]})),l=e.redraw(r),c=[r,s.update,i,s.maxPoints];return u.add(r,e.prependTraces,c,t,arguments),l},e.moveTraces=function t(r,n,i){var a,s=[],l=[],c=t,f=t,h=[r=o.getGraphDiv(r),i,n],p=[r,n,i];if(O(r,n,i),n=Array.isArray(n)?n:[n],void 0===i)for(i=[],a=0;a<n.length;a++)i.push(-n.length+a);for(i=Array.isArray(i)?i:[i],n=C(n,r.data.length-1),i=C(i,r.data.length-1),a=0;a<r.data.length;a++)-1===n.indexOf(a)&&s.push(r.data[a]);for(a=0;a<n.length;a++)l.push({newIndex:i[a],trace:r.data[n[a]]});for(l.sort((function(t,e){return t.newIndex-e.newIndex})),a=0;a<l.length;a+=1)s.splice(l[a].newIndex,0,l[a].trace);r.data=s;var d=e.redraw(r);return u.add(r,c,h,f,p),d},e.prependTraces=function t(r,n,i,a){var s=I(r=o.getGraphDiv(r),n,i,a,(function(t,e,r){var n,i;if(o.isTypedArray(t))if(r<=0){var a=new t.constructor(0),s=D(e,t);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(0,l)),i.set(e.subarray(l)),i.set(t,l)}else{var u=r-e.length;n.set(e),n.set(t.subarray(0,u),e.length),i.set(t.subarray(u))}else n=e.concat(t),i=r>=0&&r<n.length?n.splice(r,n.length):[];return[n,i]})),l=e.redraw(r),c=[r,s.update,i,s.maxPoints];return u.add(r,e.extendTraces,c,t,arguments),l},e.newPlot=function(t,r,n,i){return t=o.getGraphDiv(t),h.cleanPlot([],{},t._fullData||[],t._fullLayout||{}),h.purge(t),e._doPlot(t,r,n,i)},e._doPlot=function(t,r,i,a){var s;if(t=o.getGraphDiv(t),l.init(t),o.isPlainObject(r)){var u=r;r=u.data,i=u.layout,a=u.config,s=u.frames}if(!1===l.triggerHandler(t,\"plotly_beforeplot\",[r,i,a]))return Promise.reject();r||i||o.isPlotDiv(t)||o.warn(\"Calling _doPlot as if redrawing but this container doesn't yet have a plot.\",t),L(t,a),i||(i={}),n.select(t).classed(\"js-plotly-plot\",!0),d.makeTester(),Array.isArray(t._promises)||(t._promises=[]);var f=0===(t.data||[]).length&&Array.isArray(r);Array.isArray(r)&&(_.cleanData(r),f?t.data=r:t.data.push.apply(t.data,r),t.empty=!1),t.layout&&!f||(t.layout=_.cleanLayout(i)),h.supplyDefaults(t);var v=t._fullLayout,m=v._has(\"cartesian\");v._replotting=!0,(f||v._shouldCreateBgLayer)&&(function(t){var e=n.select(t),r=t._fullLayout;if(r._calcInverseTransform=ot,r._calcInverseTransform(t),r._container=e.selectAll(\".plot-container\").data([0]),r._container.enter().insert(\"div\",\":first-child\").classed(\"plot-container\",!0).classed(\"plotly\",!0),r._paperdiv=r._container.selectAll(\".svg-container\").data([0]),r._paperdiv.enter().append(\"div\").classed(\"user-select-none\",!0).classed(\"svg-container\",!0).style(\"position\",\"relative\"),r._glcontainer=r._paperdiv.selectAll(\".gl-container\").data([{}]),r._glcontainer.enter().append(\"div\").classed(\"gl-container\",!0),r._paperdiv.selectAll(\".main-svg\").remove(),r._paperdiv.select(\".modebar-container\").remove(),r._paper=r._paperdiv.insert(\"svg\",\":first-child\").classed(\"main-svg\",!0),r._toppaper=r._paperdiv.append(\"svg\").classed(\"main-svg\",!0),r._modebardiv=r._paperdiv.append(\"div\"),delete r._modeBar,r._hoverpaper=r._paperdiv.append(\"svg\").classed(\"main-svg\",!0),!r._uid){var i={};n.selectAll(\"defs\").each((function(){this.id&&(i[this.id.split(\"-\")[1]]=1)})),r._uid=o.randstr(i)}r._paperdiv.selectAll(\".main-svg\").attr(y.svgAttrs),r._defs=r._paper.append(\"defs\").attr(\"id\",\"defs-\"+r._uid),r._clips=r._defs.append(\"g\").classed(\"clips\",!0),r._topdefs=r._toppaper.append(\"defs\").attr(\"id\",\"topdefs-\"+r._uid),r._topclips=r._topdefs.append(\"g\").classed(\"clips\",!0),r._bgLayer=r._paper.append(\"g\").classed(\"bglayer\",!0),r._draggers=r._paper.append(\"g\").classed(\"draglayer\",!0);var a=r._paper.append(\"g\").classed(\"layer-below\",!0);r._imageLowerLayer=a.append(\"g\").classed(\"imagelayer\",!0),r._shapeLowerLayer=a.append(\"g\").classed(\"shapelayer\",!0),r._cartesianlayer=r._paper.append(\"g\").classed(\"cartesianlayer\",!0),r._polarlayer=r._paper.append(\"g\").classed(\"polarlayer\",!0),r._smithlayer=r._paper.append(\"g\").classed(\"smithlayer\",!0),r._ternarylayer=r._paper.append(\"g\").classed(\"ternarylayer\",!0),r._geolayer=r._paper.append(\"g\").classed(\"geolayer\",!0),r._funnelarealayer=r._paper.append(\"g\").classed(\"funnelarealayer\",!0),r._pielayer=r._paper.append(\"g\").classed(\"pielayer\",!0),r._iciclelayer=r._paper.append(\"g\").classed(\"iciclelayer\",!0),r._treemaplayer=r._paper.append(\"g\").classed(\"treemaplayer\",!0),r._sunburstlayer=r._paper.append(\"g\").classed(\"sunburstlayer\",!0),r._indicatorlayer=r._toppaper.append(\"g\").classed(\"indicatorlayer\",!0),r._glimages=r._paper.append(\"g\").classed(\"glimages\",!0);var s=r._toppaper.append(\"g\").classed(\"layer-above\",!0);r._imageUpperLayer=s.append(\"g\").classed(\"imagelayer\",!0),r._shapeUpperLayer=s.append(\"g\").classed(\"shapelayer\",!0),r._selectionLayer=r._toppaper.append(\"g\").classed(\"selectionlayer\",!0),r._infolayer=r._toppaper.append(\"g\").classed(\"infolayer\",!0),r._menulayer=r._toppaper.append(\"g\").classed(\"menulayer\",!0),r._zoomlayer=r._toppaper.append(\"g\").classed(\"zoomlayer\",!0),r._hoverlayer=r._hoverpaper.append(\"g\").classed(\"hoverlayer\",!0),r._modebardiv.classed(\"modebar-container\",!0).style(\"position\",\"absolute\").style(\"top\",\"0px\").style(\"right\",\"0px\"),t.emit(\"plotly_framework\")}(t),v._shouldCreateBgLayer&&delete v._shouldCreateBgLayer),d.initGradients(t),d.initPatterns(t),f&&p.saveShowSpikeInitial(t);var x=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;x&&h.doCalcdata(t);for(var b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},v._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),t._fullLayout.title.text&&t._fullLayout.title.automargin&&h.allowAutoMargin(t,\"title.automargin\"),v._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),c.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return e.addFrames(t,s)},function e(){for(var r=v._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);!v._glcanvas&&v._has(\"gl\")&&(v._glcanvas=v._glcontainer.selectAll(\".gl-canvas\").data([{key:\"contextLayer\",context:!0,pick:!1},{key:\"focusLayer\",context:!1,pick:!1},{key:\"pickLayer\",context:!1,pick:!0}],(function(t){return t.key})),v._glcanvas.enter().append(\"canvas\").attr(\"class\",(function(t){return\"gl-canvas gl-canvas-\"+t.key.replace(\"Layer\",\"\")})).style({position:\"absolute\",top:0,left:0,overflow:\"visible\",\"pointer-events\":\"none\"}));var i=t._context.plotGlPixelRatio;if(v._glcanvas){v._glcanvas.attr(\"width\",v.width*i).attr(\"height\",v.height*i).style(\"width\",v.width+\"px\").style(\"height\",v.height+\"px\");var a=v._glcanvas.data()[0].regl;if(a&&(Math.floor(v.width*i)!==a._gl.drawingBufferWidth||Math.floor(v.height*i)!==a._gl.drawingBufferHeight)){var s=\"WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.\";if(!k)return o.log(s+\" Clearing 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g){if(c=Q(i,K)){if(d=c.head,v=c.tail,a=c.attr||d+\".uirevision\",(u=(l=s(n,a).get())&&tt(a,e))&&u===l){if(null===(f=g[i])&&(f=void 0),nt(p=(h=s(e,i)).get(),f)){void 0===p&&\"autorange\"===v&&y.push(d),h.set(R(s(n,i).get()));continue}if(\"autorange\"===v||\"range[\"===v.substr(0,6)){var b=g[d+\".range[0]\"],_=g[d+\".range[1]\"],w=g[d+\".autorange\"];if(w||null===w&&null===b&&null===_){if(!(d in m)){var T=s(e,d).get();m[d]=T&&(T.autorange||!1!==T.autorange&&(!T.range||2!==T.range.length))}if(m[d]){h.set(R(s(n,i).get()));continue}}}}}else o.warn(\"unrecognized GUI edit: \"+i);delete g[i],c&&\"range[\"===c.tail.substr(0,6)&&(x[c.head]=1)}for(var k=0;k<y.length;k++){var A=y[k];if(x[A]){var M=s(e,A).get();M&&delete M.autorange}}var S=n._tracePreGUI;for(var E in S){var L,C=S[E],P=null;for(i in C){if(!P){var O=et(E,r);if(O<0){delete S[E];break}var I=rt(E,t,(L=r[O]._fullInput).index);if(I<0){delete 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c={getValObject:function(t){var e=f.getTraceValObject(l,t);return!l._module.animatable&&e.anim&&(e.anim=!1),e},flags:u,immutable:n,transition:i,newDataRevision:a,gd:t},p={};for(s=0;s<e.length;s++)if(r[s]){if(l=r[s]._fullInput,h.hasMakesDataTransform(l)&&(l=r[s]),p[l.uid])continue;p[l.uid]=1,it(e[s]._fullInput,l,[],c)}return(u.calc||u.plot)&&(u.fullReplot=!0),i&&u.nChanges&&u.nChangesAnim&&(u.anim=u.nChanges===u.nChangesAnim&&o?\"all\":\"some\"),u}(t,u,y,x,b,A);if(W(t)&&(k.layoutReplot=!0),S.calc||k.calc){t.calcdata=void 0;for(var E=Object.getOwnPropertyNames(m),C=0;C<E.length;C++){var P=E[C],O=P.substring(0,5);if(\"xaxis\"===O||\"yaxis\"===O){var I=m[P]._emptyCategories;I&&I()}}}else h.supplyDefaultsUpdateCalc(t.calcdata,y);var D=[];if(a&&(t._transitionData={},h.createTransitionData(t),D.push((function(){return e.addFrames(t,a)}))),m.transition&&!v&&(S.anim||k.anim))k.ticks&&D.push(w.doTicksRelayout),h.doCalcdata(t),w.doAutoRangeAndConstraints(t),D.push((function(){return h.transitionFromReact(t,S,k,p)}));else if(S.fullReplot||k.layoutReplot||v)t._fullLayout._skipDefaults=!0,D.push(e._doPlot);else{for(var z in k.arrays){var F=k.arrays[z];if(F.length){var B=c.getComponentMethod(z,\"drawOne\");if(B!==o.noop)for(var N=0;N<F.length;N++)B(t,F[N]);else{var j=c.getComponentMethod(z,\"draw\");if(j===o.noop)throw new Error(\"cannot draw components: \"+z);j(t)}}}D.push(h.previousPromises),S.style&&D.push(w.doTraceStyle),(S.colorbars||k.colorbars)&&D.push(w.doColorBars),k.legend&&D.push(w.doLegend),k.layoutstyle&&D.push(w.layoutStyles),k.axrange&&H(D),k.ticks&&D.push(w.doTicksRelayout),k.modebar&&D.push(w.doModeBar),k.camera&&D.push(w.doCamera),D.push(M)}D.push(h.rehover,h.redrag,h.reselect),(l=o.syncOrAsync(D,t))&&l.then||(l=Promise.resolve(t))}else l=e.newPlot(t,r,n,i);return l.then((function(){return t.emit(\"plotly_react\",{data:r,layout:n}),t}))},e.redraw=function(t){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error(\"This element is not a Plotly plot: 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u=i(e.dtick),c=i(t.dtick),f=u?e.dtick:+e.dtick.substring(1),h=c?t.dtick:+t.dtick.substring(1);u&&c?et(f,h)?f===2*A&&h===2*M&&(t.dtick=A):f===2*A&&h===3*M?t.dtick=A:f!==A||(e._input.minor||{}).nticks?rt(f/h,2.5)?t.dtick=f/2:t.dtick=f:t.dtick=M:\"M\"===String(e.dtick).charAt(0)?c?t.dtick=\"M1\":et(f,h)?f>=12&&2===h&&(t.dtick=\"M3\"):t.dtick=e.dtick:\"L\"===String(t.dtick).charAt(0)?\"L\"===String(e.dtick).charAt(0)?et(f,h)||(t.dtick=rt(f/h,2.5)?e.dtick/2:e.dtick):t.dtick=\"D1\":\"D2\"===t.dtick&&+e.dtick>1&&(t.dtick=1)}t.range=e.range}void 0===e.minor._tick0Init&&(t.tick0=e.tick0)},q.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?s.bigFont(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),t.minor&&\"array\"!==t.minor.tickmode||\"array\"===t.tickmode&&(a*=100),t._roughDTick=Math.abs(r[1]-r[0])/a,q.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}\"period\"===t.ticklabelmode&&function(t){var e;function r(){return!(i(t.dtick)||\"M\"!==t.dtick.charAt(0))}var n=r(),a=q.getTickFormat(t);if(a){var o=t._dtickInit!==t.dtick;/%[fLQsSMX]/.test(a)||(/%[HI]/.test(a)?(e=E,o&&!n&&t.dtick<E&&(t.dtick=E)):/%p/.test(a)?(e=S,o&&!n&&t.dtick<S&&(t.dtick=S)):/%[Aadejuwx]/.test(a)?(e=M,o&&!n&&t.dtick<M&&(t.dtick=M)):/%[UVW]/.test(a)?(e=A,o&&!n&&t.dtick<A&&(t.dtick=A)):/%[Bbm]/.test(a)?(e=T,o&&(n?nt(t.dtick)<1:t.dtick<k)&&(t.dtick=\"M1\")):/%[q]/.test(a)?(e=b,o&&(n?nt(t.dtick)<3:t.dtick<_)&&(t.dtick=\"M3\")):/%[Yy]/.test(a)&&(e=y,o&&(n?nt(t.dtick)<12:t.dtick<m)&&(t.dtick=\"M12\")))}(n=r())&&t.tick0===t._dowTick0&&(t.tick0=t._rawTick0),t._definedDelta=e}(t),t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),vt(t)},q.calcTicks=function(t,e){for(var r,n,a=t.type,o=t.calendar,l=t.ticklabelstep,u=\"period\"===t.ticklabelmode,c=s.simpleMap(t.range,t.r2l,void 0,void 0,e),f=c[1]<c[0],h=Math.min(c[0],c[1]),p=Math.max(c[0],c[1]),d=Math.max(1e3,t._length||0),v=[],L=[],C=[],P=[],I=t.minor&&(t.minor.ticks||t.minor.showgrid),D=1;D>=(I?0:1);D--){var z=!D;D?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var R=D?t:s.extendFlat({},t,t.minor);if(z?q.prepMinorTicks(R,t,e):q.prepTicks(R,e),\"array\"!==R.tickmode)if(\"sync\"!==R.tickmode){var F=K(c),B=F[0],N=F[1],j=i(R.dtick),U=\"log\"===a&&!(j||\"L\"===R.dtick.charAt(0)),V=q.tickFirst(R,e);if(D){if(t._tmin=V,V<B!==f)break;\"category\"!==a&&\"multicategory\"!==a||(N=f?Math.max(-.5,N):Math.min(t._categories.length-.5,N))}var H,G,Z=null,Y=V;D&&(j?G=t.dtick:\"date\"===a?\"string\"==typeof t.dtick&&\"M\"===t.dtick.charAt(0)&&(G=T*t.dtick.substring(1)):G=t._roughDTick,H=Math.round((t.r2l(Y)-t.r2l(t.tick0))/G)-1);var W=R.dtick;for(R.rangebreaks&&R._tick0Init!==R.tick0&&(Y=zt(Y,t),f||(Y=q.tickIncrement(Y,W,!f,o))),D&&u&&(Y=q.tickIncrement(Y,W,!f,o),H--);f?Y>=N:Y<=N;Y=q.tickIncrement(Y,W,f,o)){if(D&&H++,R.rangebreaks&&!f){if(Y<B)continue;if(R.maskBreaks(Y)===O&&zt(Y,R)>=p)break}if(C.length>d||Y===Z)break;Z=Y;var 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L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var it=\"y\"===t._id.charAt(0),st=1;\"auto\"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=zt(C[r].value,t);var ut=t.c2p(C[r].value);(it?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}Dt(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text=\"\",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var st=[2,5,10],lt=[1,2,3,6,12],ut=[1,2,5,10,15,30],ct=[1,2,3,7,14],ft=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],ht=[-.301,0,.301,.699,1],pt=[15,30,45,90,180];function dt(t,e,r){return e*s.roundUp(t/e,r)}function vt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),a=n.length;if(\"M\"===String(e).charAt(0))a>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&a<=10||e>=15*M)t._tickround=\"d\";else if(e>=L&&a<=16||e>=E)t._tickround=\"M\";else if(e>=C&&a<=19||e>=L)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(mt(t.exponentformat)&&!xt(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function gt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}q.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick=\"M\"+12*dt(e,n,st);else if(o>T)e/=T,t.dtick=\"M\"+dt(e,1,lt);else if(o>M){if(t.dtick=dt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ct),!r){var l=q.getTickFormat(t),u=\"period\"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=dt(e,E,lt):o>L?t.dtick=dt(e,L,ut):o>C?t.dtick=dt(e,C,ut):(n=a(10),t.dtick=dt(e,n,st))}else if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick=\"L\"+dt(e,n,st)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Dt(t)?(t.tick0=0,n=1,t.dtick=dt(e,n,pt)):(t.tick0=0,n=a(10),t.dtick=dt(e,n,st));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,u,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if(\"D\"===l){var c=\"D2\"===e?ht:ft,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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r=n.select(this),i=t._promises.length;r.call(u.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(u.convertToTspans,t),t._promises[i]?m.push(t._promises.pop().then((function(){x(r,v)}))):x(r,v)})),Ft(e,[F]),y.exit().remove(),r.repositionOnUpdate&&y.each((function(t){n.select(this).select(\"text\").call(u.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&\"allow\"!==r){var i=-1!==r.indexOf(\"hide\"),o=\"x\"===e._id.charAt(0),l=0,u=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var c=s.simpleMap(e.range,e.r2l);l=e.l2p(c[0])+e._offset,u=e.l2p(c[1])+e._offset}var f=Math.min(l,u),p=Math.max(l,u),d=e.side,v=1/0,g=-1/0;for(var m in y.each((function(t){var r=n.select(this);if(r.select(\".text-math-group\").empty()){var a=h.bBox(r.node()),s=0;o?(a.right>p||a.left<f)&&(s=1):(a.bottom>p||a.top+(e.tickangle?0:t.fontSize/4)<f)&&(s=1);var l=r.select(\"text\");s?i&&l.style(\"opacity\",0):(l.style(\"opacity\",1),v=\"bottom\"===d||\"right\"===d?Math.min(v,o?a.top:a.left):-1/0,g=\"top\"===d||\"left\"===d?Math.max(g,o?a.bottom:a.right):1/0)}})),a._plots){var x=a._plots[m];if(e._id===x.xaxis._id||e._id===x.yaxis._id){var b=o?x.yaxis:x.xaxis;b&&(b[\"_visibleLabelMin_\"+e._id]=v,b[\"_visibleLabelMax_\"+e._id]=g)}}}},e._hideCounterAxisInsideTickLabels=function(t){var r=\"x\"===e._id.charAt(0),i=[];for(var o in a._plots){var s=a._plots[o];e._id!==s.xaxis._id&&e._id!==s.yaxis._id||i.push(r?s.yaxis:s.xaxis)}i.forEach((function(r,i){r&&Rt(r)&&(t||[I,z,D,R,F]).forEach((function(t){var o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===I.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===z.K?s.minorGridlayer.selectAll(\".\"+e._id):t.K===D.K?s.gridlayer.selectAll(\".\"+e._id):s[e._id.charAt(0)+\"axislayer\"]).each((function(){var 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v=Object.keys(n),m=1/0,x=0,b=1/0,_={},w={},T=!1;for(r=0;r<v.length;r++)w[o=v[r]]=l=p[a(o)],l._inputDomain?l.domain=l._inputDomain.slice():l._inputDomain=l.domain.slice(),l._inputRange||(l._inputRange=l.range.slice()),l.setScale(),_[o]=c=Math.abs(l._m)/n[o],m=Math.min(m,c),\"domain\"!==l.constrain&&l._constraintShrinkable||(b=Math.min(b,c)),delete l._constraintShrinkable,x=Math.max(x,c),\"domain\"===l.constrain&&(T=!0);if(!(m>u*x)||T)for(r=0;r<v.length;r++)if(c=_[o=v[r]],f=(l=w[o]).constrain,c!==b||\"domain\"===f)if(h=c/b,\"range\"===f)s(l,h);else{var k=l._inputDomain,A=(l.domain[1]-l.domain[0])/(k[1]-k[0]),M=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if((h/=A)*M<1){l.domain=l._input.domain=k.slice(),s(l,h);continue}if(M<1&&(l.range=l._input.range=l._inputRange.slice(),h*=M),l.autorange){var S=l.r2l(l.range[0]),E=l.r2l(l.range[1]),L=(S+E)/2,C=L,P=L,O=Math.abs(E-L),I=L-O*h*1.0001,D=L+O*h*1.0001,z=i.makePadFn(p,l,0),R=i.makePadFn(p,l,1);y(l,h);var F,B,N=Math.abs(l._m),j=i.concatExtremes(t,l),U=j.min,V=j.max;for(B=0;B<U.length;B++)(F=U[B].val-z(U[B])/N)>I&&F<C&&(C=F);for(B=0;B<V.length;B++)(F=V[B].val+R(V[B])/N)<D&&F>P&&(P=F);h/=(P-C)/(2*O),C=l.l2r(C),P=l.l2r(P),l.range=l._input.range=S<E?[C,P]:[P,C]}y(l,h)}}},e.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++)if(r[n][e])return\"g\"+n;return e},e.clean=function(t,e){if(e._inputDomain){for(var r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&\"domain\"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},29323:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(84267),s=r(38520),l=r(73972),u=i.strTranslate,c=r(63893),f=r(7901),h=r(91424),p=r(30211),d=r(89298),v=r(6964),g=r(28569),y=r(64505),m=y.selectingOrDrawing,x=y.freeMode,b=r(18783).FROM_TL,_=r(33306),w=r(61549).redrawReglTraces,T=r(74875),k=r(41675).getFromId,A=r(47322).prepSelect,M=r(47322).clearOutline,S=r(47322).selectOnClick,E=r(42449),L=r(85555),C=L.MINDRAG,P=L.MINZOOM,O=!0;function I(t,e,r,n){var a=i.ensureSingle(t.draglayer,e,r,(function(e){e.classed(\"drag\",!0).style({fill:\"transparent\",\"stroke-width\":0}).attr(\"data-subplot\",t.id)}));return a.call(v,n),a.node()}function D(t,e,r,i,a,o,s){var l=I(t,\"rect\",e,r);return n.select(l).call(h.setRect,i,a,o,s),l}function z(t,e){for(var r=0;r<t.length;r++)if(!t[r].fixedrange)return e;return\"\"}function R(t,e,r,n,i){for(var a=0;a<t.length;a++){var o=t[a];if(!o.fixedrange)if(o.rangebreaks){var 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t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function H(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function q(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function Z(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||(\"x\"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function W(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,X,J,K,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(X={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;X[a._id]=a}J=W(V),K=W(X),it=z(J,y),at=z(K,v),ot=!at&&!it,nt=Z(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Z(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),H(t),Gt(),q(t)}Pt.prepFn=function(e,r,n){var 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0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==c&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===c||\"north america\"===c&&50===u)&&(r(\"showsubunits\",x),r(\"subunitcolor\"),r(\"subunitwidth\")),d||r(\"showframe\",x)&&(r(\"framecolor\"),r(\"framewidth\")),r(\"bgcolor\"),r(\"fitbounds\")&&(delete e.projection.scale,d?(delete e.center.lon,delete e.center.lat):y?(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon,delete e.projection.rotation.lat,delete e.lonaxis.range,delete e.lataxis.range):(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon))}t.exports=function(t,e,r){i(t,e,r,{type:\"geo\",attributes:s,handleDefaults:u,fullData:r,partition:\"y\"})}},74455:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(73972),o=Math.PI/180,s=180/Math.PI,l={cursor:\"pointer\"},u={cursor:\"auto\"};function c(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function f(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],u=o._fullLayout,c=u[n],f={},h={};function p(t,e){f[n+\".\"+t]=i.nestedProperty(l,t).get(),a.call(\"_storeDirectGUIEdit\",s,u._preGUI,f);var r=i.nestedProperty(c,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),h[n+\".\"+t]=e)}r(p),p(\"projection.scale\",e.scale()/t.fitScale),p(\"fitbounds\",!1),o.emit(\"plotly_relayout\",h)}function h(t,e){var r=c(0,e);function i(r){var n=e.invert(t.midPt);r(\"center.lon\",n[0]),r(\"center.lat\",n[1])}return r.on(\"zoomstart\",(function(){n.select(this).style(l)})).on(\"zoom\",(function(){e.scale(n.event.scale).translate(n.event.translate),t.render(!0);var r=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":r[0],\"geo.center.lat\":r[1]})})).on(\"zoomend\",(function(){n.select(this).style(u),f(t,e,i)})),r}function p(t,e){var r,i,a,o,s,h,p,d,v,g=c(0,e);function y(t){return e.invert(t)}function m(r){var n=e.rotate(),i=e.invert(t.midPt);r(\"projection.rotation.lon\",-n[0]),r(\"center.lon\",i[0]),r(\"center.lat\",i[1])}return g.on(\"zoomstart\",(function(){n.select(this).style(l),r=n.mouse(this),i=e.rotate(),a=e.translate(),o=i,s=y(r)})).on(\"zoom\",(function(){if(h=n.mouse(this),function(t){var r=y(t);if(!r)return!0;var n=e(r);return Math.abs(n[0]-t[0])>2||Math.abs(n[1]-t[1])>2}(r))return g.scale(e.scale()),void g.translate(e.translate());e.scale(n.event.scale),e.translate([a[0],n.event.translate[1]]),s?y(h)&&(d=y(h),p=[o[0]+(d[0]-s[0]),i[1],i[2]],e.rotate(p),o=p):s=y(r=h),v=!0,t.render(!0);var l=e.rotate(),u=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":u[0],\"geo.center.lat\":u[1],\"geo.projection.rotation.lon\":-l[0]})})).on(\"zoomend\",(function(){n.select(this).style(u),v&&f(t,e,m)})),g}function d(t,e){var r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},27659:function(t,e,r){\"use strict\";var n=r(73972),i=r(85555).SUBPLOT_PATTERN;e.AU=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e.a0=function(t,e){var r,i=[],a=[];if(!(r=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module.plot===r?i.push(s):a.push(s))}return[i,a]},e.NG=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},75071:function(t,e,r){\"use strict\";var n=r(16825),i=r(1195),a=r(48956),o=r(85555),s=r(38520);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},82961:function(t,e,r){\"use strict\";var n=r(89298),i=r(78614);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085),_=!1;function w(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.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\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var T=w.prototype;T.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var k=!0;T.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!k||h)r=!1;else{f.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(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return k=!1,r},T.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},T.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){_=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},T.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,w=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(w,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;w.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(L,w,T),t._module.eventData&&(L=w._module.eventData(L,h,w,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:w,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(w,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(w,T,\"bordercolor\"),fontFamily:d.castHoverOption(w,T,\"font.family\"),fontSize:d.castHoverOption(w,T,\"font.size\"),fontColor:d.castHoverOption(w,T,\"font.color\"),nameLength:d.castHoverOption(w,T,\"namelength\"),textAlign:d.castHoverOption(w,T,\"align\"),hovertemplate:f.castOption(w,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||_)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},T.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. 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i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=T(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=T(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}function k(t){return[t.lon,t.lat]}b.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return _[t[0].trace.type]-_[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var u=Object.keys(a);t:for(n=0;n<u.length;n++){var c=u[n];for(i=0;i<t.length;i++)if(c===(r=t[i][0].trace).uid)continue t;(e=a[c]).dispose(),delete a[c]}},b.updateLayout=function(t){var 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n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var 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r=t._fullLayout,o=e.subplot,l=r[o].radialaxis,u=r[o].angularaxis,c=l.makeCalcdata(e,\"r\"),f=u.makeCalcdata(e,\"theta\"),h=e._length,p=new Array(h),d=c,v=f,g=0;g<h;g++)p[g]={p:v[g],s:d[g]};function y(t){var r=e[t];void 0!==r&&(e[\"_\"+t]=Array.isArray(r)?u.makeCalcdata(e,t):u.d2c(r,e.thetaunit))}return\"linear\"===u.type&&(y(\"width\"),y(\"offset\")),n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),a(p,e),s(p,e),p},crossTraceCalc:function(t,e,r){for(var n=t.calcdata,i=[],a=0;a<n.length;a++){var s=n[a],c=s[0].trace;!0===c.visible&&l(c,\"bar\")&&c.subplot===r&&i.push(s)}var f=u({},e.radialaxis,{_id:\"x\"}),h=e.angularaxis;o(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},6135:function(t,e,r){\"use strict\";var n=r(71828),i=r(22184).handleRThetaDefaults,a=r(98340),o=r(55023);t.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l(\"thetaunit\"),l(\"base\"),l(\"offset\"),l(\"width\"),l(\"text\"),l(\"hovertext\"),l(\"hovertemplate\"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},27379:function(t,e,r){\"use strict\";var n=r(30211),i=r(71828),a=r(95423).getTraceColor,o=i.fillText,s=r(59150).makeHoverPointText,l=r(10869).isPtInsidePolygon;t.exports=function(t,e,r){var u=t.cd,c=u[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,v=d?l:i.isPtInsideSector,g=t.maxHoverDistance,y=p._period||2*Math.PI,m=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);if(h.range[0]>h.range[1]&&(x+=Math.PI),n.getClosest(u,(function(t){return v(m,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?g+Math.min(1,Math.abs(t.thetag1-t.thetag0)/y)-1+(t.rp1-m)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=u[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,c,t),s(_,c,f,t),t.hovertemplate=c.hovertemplate,t.color=a(c,b),t.xLabelVal=t.yLabelVal=void 0,b.s<0&&(t.idealAlign=\"left\"),[t]}}},23381:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"barpolar\",basePlotModule:r(23580),categories:[\"polar\",\"bar\",\"showLegend\"],attributes:r(55023),layoutAttributes:r(40151),supplyDefaults:r(6135),supplyLayoutDefaults:r(19860),calc:r(74692).calc,crossTraceCalc:r(74692).crossTraceCalc,plot:r(60173),colorbar:r(4898),formatLabels:r(98608),style:r(16688).style,styleOnSelect:r(16688).styleOnSelect,hoverPoints:r(27379),selectPoints:r(81974),meta:{}}},40151:function(t){\"use strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"overlay\"],dflt:\"stack\",editType:\"calc\"},bargap:{valType:\"number\",dflt:.1,min:0,max:1,editType:\"calc\"}}},19860:function(t,e,r){\"use strict\";var n=r(71828),i=r(40151);t.exports=function(t,e,r){var a,o={};function s(r,o){return n.coerce(t[a]||{},e[a],i,r,o)}for(var 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r=n.select(this),s=a.ensureSingle(r,\"g\",\"points\").selectAll(\"g.point\").data(a.identity);s.enter().append(\"g\").style(\"vector-effect\",l?\"none\":\"non-scaling-stroke\").style(\"stroke-miterlimit\",2).classed(\"point\",!0),s.exit().remove(),s.each((function(t){var e,r=n.select(this),o=t.rp0=f.c2p(t.s0),s=t.rp1=f.c2p(t.s1),l=t.thetag0=h.c2g(t.p0),d=t.thetag1=h.c2g(t.p1);if(i(o)&&i(s)&&i(l)&&i(d)&&o!==s&&l!==d){var v=f.c2g(t.s1),g=(l+d)/2;t.ct=[u.c2p(v*Math.cos(g)),c.c2p(v*Math.sin(g))],e=p(o,s,l,d)}else e=\"M0,0Z\";a.ensureSingle(r,\"path\").attr(\"d\",e)})),o.setClipUrl(r,e._hasClipOnAxisFalse?e.clipIds.forTraces:null,t)}))}},53522:function(t,e,r){\"use strict\";var 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ct,ft;(E={}).pos=E[_]=B[r],L=E.pts=nt[r].sort(f),P=(C=E[x]=L.map(h)).length,E.min=C[0],E.max=C[P-1],E.mean=o.mean(C,P),E.sd=o.stdev(C,P,E.mean),E.med=o.interp(C,.5),P%2&&(lt||ut)?(lt?(ct=C.slice(0,P/2),ft=C.slice(P/2+1)):ut&&(ct=C.slice(0,P/2+1),ft=C.slice(P/2)),E.q1=o.interp(ct,.5),E.q3=o.interp(ft,.5)):(E.q1=o.interp(C,.25),E.q3=o.interp(C,.75)),E.lf=p(E,C,P),E.uf=d(E,C,P),E.lo=v(E),E.uo=g(E);var ht=y(E,P);E.ln=E.med-ht,E.un=E.med+ht,at=Math.min(at,E.ln),ot=Math.max(ot,E.un),E.pts2=L.filter(j),M.push(E)}e._extremes[m._id]=i.findExtremes(m,e.notched?tt.concat([at,ot]):tt,{padded:!0})}return function(t,e){if(o.isArrayOrTypedArray(e.selectedpoints))for(var r=0;r<t.length;r++){for(var n=t[r].pts||[],i={},a=0;a<n.length;a++)i[n[a].i]=a;o.tagSelected(n,e,i)}}(M,e),M.length>0?(M[0].t={num:T[S],dPos:N,posLetter:_,valLetter:x,labels:{med:l(t,\"median:\"),min:l(t,\"min:\"),q1:l(t,\"q1:\"),q3:l(t,\"q3:\"),max:l(t,\"max:\"),mean:\"sd\"===e.boxmean?l(t,\"mean ± σ:\"):l(t,\"mean:\"),lf:l(t,\"lower 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g=i.distinctVals(d);\"category\"!==o.type&&\"multicategory\"!==o.type||(g.minDiff=1);var y=g.minDiff/2;n.minDtick(o,g.minDiff,g.vals[0],!0);var m=f[\"violin\"===t?\"_numViolins\":\"_numBoxes\"],x=\"group\"===f[t+\"mode\"]&&m>1,b=1-f[t+\"gap\"],_=1-f[t+\"groupgap\"];for(s=0;s<r.length;s++){var w,T,k,A,M,S,E=(u=c[r[s]])[0].trace,L=u[0].t,C=E.width,P=E.side;if(C)w=T=A=C/2,k=0;else if(w=y,x){var O=a(f,o._id)+E.orientation,I=(f._alignmentOpts[O]||{})[E.alignmentgroup]||{},D=Object.keys(I.offsetGroups||{}).length,z=D||m;T=w*b*_/z,k=2*w*(((D?E._offsetIndex:L.num)+.5)/z-.5)*b,A=w*b/z}else T=w*b*_,k=0,A=w;L.dPos=w,L.bPos=k,L.bdPos=T,L.wHover=A;var R,F,B,N,j,U,V=k+T,H=Boolean(C);if(\"positive\"===P?(M=w*(C?1:.5),R=V,S=R=k):\"negative\"===P?(M=R=k,S=w*(C?1:.5),F=V):(M=S=w,R=F=V),(E.boxpoints||E.points)&&v>0){var q=E.pointpos,G=E.jitter,Z=E.marker.size/2,Y=0;q+G>=0&&((Y=V*(q+G))>M?(H=!0,j=Z,B=Y):Y>R&&(j=Z,B=M)),Y<=M&&(B=M);var W=0;q-G<=0&&((W=-V*(q-G))>S?(H=!0,U=Z,N=W):W>F&&(U=Z,N=S)),W<=S&&(N=S)}else B=M,N=S;var X=new Array(u.length);for(l=0;l<u.length;l++)X[l]=u[l].pos;E._extremes[h]=n.findExtremes(o,X,{padded:H,vpadminus:N,vpadplus:B,vpadLinearized:!0,ppadminus:{x:U,y:j}[p],ppadplus:{x:j,y:U}[p]})}}}t.exports={crossTraceCalc:function(t,e){for(var r=t.calcdata,n=e.xaxis,i=e.yaxis,a=0;a<o.length;a++){for(var l=o[a],u=\"h\"===l?i:n,c=[],f=0;f<r.length;f++){var h=r[f],p=h[0].t,d=h[0].trace;!0!==d.visible||\"box\"!==d.type&&\"candlestick\"!==d.type||p.empty||(d.orientation||\"v\")!==l||d.xaxis!==n._id||d.yaxis!==i._id||c.push(f)}s(\"box\",t,c,u)}},setPositionOffset:s}},36411:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(7901),o=r(73927),s=r(26125),l=r(4322),u=r(53522);function c(t,e,r,a){function o(t){var e=0;return t&&t.length&&(e+=1,n.isArrayOrTypedArray(t[0])&&t[0].length&&(e+=1)),e}function s(e){return n.validate(t[e],u[e])}var c,f=r(\"y\"),h=r(\"x\");if(\"box\"===e.type){var p=r(\"q1\"),d=r(\"median\"),v=r(\"q3\");e._hasPreCompStats=p&&p.length&&d&&d.length&&v&&v.length,c=Math.min(n.minRowLength(p),n.minRowLength(d),n.minRowLength(v))}var g,y,m=o(f),x=o(h),b=m&&n.minRowLength(f),_=x&&n.minRowLength(h),w=a.calendar,T={autotypenumbers:a.autotypenumbers};if(e._hasPreCompStats)switch(String(x)+String(m)){case\"00\":var k=s(\"x0\")||s(\"dx\");g=!s(\"y0\")&&!s(\"dy\")||k?\"v\":\"h\",y=c;break;case\"10\":g=\"v\",y=Math.min(c,_);break;case\"20\":g=\"h\",y=Math.min(c,h.length);break;case\"01\":g=\"h\",y=Math.min(c,b);break;case\"02\":g=\"v\",y=Math.min(c,f.length);break;case\"12\":g=\"v\",y=Math.min(c,_,f.length);break;case\"21\":g=\"h\",y=Math.min(c,h.length,b);break;case\"11\":y=0;break;case\"22\":var A,M=!1;for(A=0;A<h.length;A++)if(\"category\"===l(h[A],w,T)){M=!0;break}if(M)g=\"v\",y=Math.min(c,_,f.length);else{for(A=0;A<f.length;A++)if(\"category\"===l(f[A],w,T)){M=!0;break}M?(g=\"h\",y=Math.min(c,h.length,b)):(g=\"v\",y=Math.min(c,_,f.length))}}else 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c=r(a+\"points\",l);c?(r(\"jitter\",\"all\"===c?.3:0),r(\"pointpos\",\"all\"===c?-1.5:0),r(\"marker.symbol\"),r(\"marker.opacity\"),r(\"marker.size\"),r(\"marker.angle\"),r(\"marker.color\",e.line.color),r(\"marker.line.color\"),r(\"marker.line.width\"),\"suspectedoutliers\"===c&&(r(\"marker.line.outliercolor\",e.marker.color),r(\"marker.line.outlierwidth\")),r(\"selected.marker.color\"),r(\"unselected.marker.color\"),r(\"selected.marker.size\"),r(\"unselected.marker.size\"),r(\"text\"),r(\"hovertext\")):delete e.marker;var f=r(\"hoveron\");\"all\"!==f&&-1===f.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}t.exports={supplyDefaults:function(t,e,r,i){function s(r,i){return n.coerce(t,e,u,r,i)}if(c(t,e,s,i),!1!==e.visible){o(t,e,i,s),s(\"xhoverformat\"),s(\"yhoverformat\");var l=e._hasPreCompStats;l&&(s(\"lowerfence\"),s(\"upperfence\")),s(\"line.color\",(t.marker||{}).color||r),s(\"line.width\"),s(\"fillcolor\",a.addOpacity(e.line.color,.5));var 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e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,x=h?(a+o)/2:f.l2p(e)+v,b=r.whiskerwidth,_=h?a*b+(1-b)*x:f.l2p(e-d)+v,w=h?o*b+(1-b)*x:f.l2p(e+d)+v,T=f.l2p(e-s*m)+v,k=f.l2p(e+l*m)+v,A=c.c2p(t.q1,!0),M=c.c2p(t.q3,!0),S=i.constrain(c.c2p(t.med,!0),Math.min(A,M)+1,Math.max(A,M)-1),E=void 0===t.lf||!1===r.boxpoints,L=c.c2p(E?t.min:t.lf,!0),C=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),O=c.c2p(t.un,!0);u?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+A+\",\"+a+\"V\"+o+(y?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+O+\",\"+o:\"\")+\"H\"+M+\"V\"+a+(y?\"H\"+O+\"L\"+S+\",\"+T+\"L\"+P+\",\"+a:\"\")+\"ZM\"+A+\",\"+x+\"H\"+L+\"M\"+M+\",\"+x+\"H\"+C+(0===g?\"\":\"M\"+L+\",\"+_+\"V\"+w+\"M\"+C+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+a+\",\"+A+\"H\"+o+(y?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+o+\",\"+O:\"\")+\"V\"+M+\"H\"+a+(y?\"V\"+O+\"L\"+T+\",\"+S+\"L\"+a+\",\"+P:\"\")+\"ZM\"+x+\",\"+A+\"V\"+L+\"M\"+x+\",\"+M+\"V\"+C+(0===g?\"\":\"M\"+_+\",\"+L+\"H\"+w+\"M\"+_+\",\"+C+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,u=n.bPos,c=r.boxpoints||r.points;i.seedPseudoRandom();var f=t.selectAll(\"g.points\").data(c?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append(\"g\").attr(\"class\",\"points\"),f.exit().remove();var h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function d(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function v(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function y(t){var e=\"0\"+t;return e.substr(e.length-2)}function m(t){return t<o?\"p\"+y(t+1)+\"_\"+y(t+4):\"colors\"}function x(t,e,r,n,i,a,o,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;o*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-o+y:u+.5)+(n===e?o+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function b(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var s=e%8,l=(e-s)/8,c=Math.pow(2,s),f=u[e].brush.filter.get();if(!(f.length<2)){var h=b(f[0])[1];for(r=1;r<f.length;r++){var p=b(f[r]);for(n=h+1;n<p[0];n++)o[8*n+l]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return _?_(d):_=k.texture(d),{maskTexture:_,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,g=d.dim1.crossfilterDimensionIndex,m=d.canvasX,A=d.canvasY,M=m+d.panelSizeX,S=d.plotGlPixelRatio;if(e||!P[v]||P[v][0]!==m||P[v][1]!==M){P[v]=[m,M];var L=x(r,a,o,i,v,g,m,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,w?0:T?2:1,f,S);E.clearOnly=n;var C=e?r.lines.blockLineCount:y;p(k,O,E,C,y,L)}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return k.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",C.destroy(),_&&_.destroy(),L)L[e].destroy()},update:I}}},94397:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,u=r.canvasPixelRatio,c=function(t){return o*t/Math.max(1,r.colCount-1)},f=m.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,m.verticalPadding),p={key:r.key,xScale:c,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(y.isVisible).map((function(o,l){var v=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),g=d[o.label];d[o.label]=(g||0)+1;var b=o.label+(g?\"__\"+g:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function O(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var D=C.map(P).sort(O),z=0;z<C.length;z++)C[z]=D[z].val,L[z]=D[z].text;break}}else C=void 0;return S=y.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:y.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(l),canvasX:c(l)*u,unitToPaddedPx:h,domainScale:A(s,m.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return y.isOrdinal(t)?e:D(t.model.dimensions[t.visibleIndex],e)})).scale(r)),f.font(q.selectAll(\"text\"),t.model.tickFont)})),q.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),q.selectAll(\"text\").style(\"text-shadow\",c.makeTextShadow(A)).style(\"cursor\",\"default\");var G=H.selectAll(\".\"+m.cn.axisHeading).data(v,d);G.enter().append(\"g\").classed(m.cn.axisHeading,!0);var Z=G.selectAll(\".\"+m.cn.axisTitle).data(v,d);Z.enter().append(\"text\").classed(m.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"pointer-events\",o?\"none\":\"auto\"),Z.text((function(t){return t.label})).each((function(e){var 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J=Y.selectAll(\".\"+m.cn.axisExtentBottom).data(v,d);J.enter().append(\"g\").classed(m.cn.axisExtentBottom,!0),J.attr(\"transform\",(function(t){return u(0,t.model.height+m.axisExtentOffset)}));var K=J.selectAll(\".\"+m.cn.axisExtentBottomText).data(v,d);K.enter().append(\"text\").classed(m.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),K.text((function(t){return z(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(H,A,t)}},21341:function(t,e,r){\"use strict\";var n=r(17171),i=r(79749),a=r(1602).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},34e3:function(t,e,r){\"use strict\";var n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).fF,l=r(5386).si,u=r(1426).extendFlat,c=r(79952).u,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText,l=r(71828).coercePattern;function u(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",Array.isArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},22209:function(t,e,r){\"use strict\";var n=r(91424),i=r(7901);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},53581:function(t,e,r){\"use strict\";var n=r(71828);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var 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t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(u.sankeyNode).filter(g(t)).call(m)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,v=0;v<t._fullData.length;v++)if(t._fullData[v].visible&&t._fullData[v].type===u.sankey&&!t._fullData[v]._viewInitial){var g=t._fullData[v].node;t._fullData[v]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=c(t,\"source:\")+\" \",T=c(t,\"target:\")+\" \",k=c(t,\"concentration:\")+\" \",A=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var u=[],c=0,h=0;h<i.flow.links.length;h++){var v=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===v.pointNumber){i.link.pointNumber===v.pointNumber&&(c=h),v.fullData=v.trace,o=i.link.trace.link;var g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=u(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p})),n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:v,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:c.x[0]*t.width+t.margin.l,translateY:t.height-c.y[1]*t.height+t.margin.t,dragParallel:f?g:v,dragPerpendicular:f?v:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=u(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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b=u<2||i[0]!==i[u-1]||o[0]!==o[u-1];b&&(\"tozerox\"===y||\"tonextx\"===y&&(p||\"h\"===d))?m.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==y&&\"tozeroy\"!==y&&(l.hasMarkers(e)||l.hasText(e))||(m.padded=!1,m.ppad=0),b&&(\"tozeroy\"===y||\"tonexty\"===y&&(p||\"v\"===d))?x.tozero=!0:\"tonextx\"!==y&&\"tozerox\"!==y||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,m)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:\"linear\"};a.setConvert(s);for(var u=s.makeCalcdata(t.marker,\"size\"),c=new Array(e),f=0;f<e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function d(t,e){var r=v(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function v(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var i=t.stackgroup;if(i){var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},47581:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){\"use strict\";var n=r(47761),i=r(11661).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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n=r(82196),i=r(9012),a=r(5386).fF,o=r(5386).si,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=m(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},68645:function(t,e,r){\"use strict\";var n=r(78232);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var 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a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181);t.exports=function(t,e,r,c){function f(r,i){return n.coerce(t,e,u,r,i)}function h(r,i){return n.coerce2(t,e,u,r,i)}var p=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(p){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasLines(e)&&(o(t,e,r,c,f,{noDash:!0}),f(\"connectgaps\")),i.hasMarkers(e)){a(t,e,r,c,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var d=e.marker;\"circle\"!==d.symbol&&(n.isArrayOrTypedArray(d.size)&&(d.size=d.size[0]),n.isArrayOrTypedArray(d.color)&&(d.color=d.color[0]))}var v=h(\"cluster.maxzoom\"),g=h(\"cluster.step\"),y=h(\"cluster.color\",e.marker&&e.marker.color||r),m=h(\"cluster.size\"),x=h(\"cluster.opacity\");f(\"cluster.enabled\",!1!==v||!1!==g||!1!==y||!1!==m||!1!==x),i.hasText(e)&&s(t,e,c,f,{noSelect:!0}),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},53353:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},15636:function(t,e,r){\"use strict\";var n=r(89298);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},28178:function(t,e,r){\"use strict\";var n=r(30211),i=r(71828),a=r(34603),o=i.fillText,s=r(50606).BADNUM,l=r(77734).traceLayerPrefix;function u(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,u=[];return i||a&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):a?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,u),u.join(\"<br>\")}function c(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+\"-circle\",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):f.attr(\"d\",Z),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=W(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:W(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText,s=r(43467);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},54532:function(t,e,r){\"use strict\";var n=r(7901),i=r(50693),a=r(12663).axisHoverFormat,o=r(5386).fF,s=r(9012),l=r(1426).extendFlat,u=r(30962).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,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 p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return Array.isArray(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[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 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var u=1;u<n;u++){for(var c=l>>>26,f=67108863&l,h=Math.min(u,e.length-1),p=Math.max(0,u-t.length+1);p<=h;p++){var d=u-p|0;c+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!=(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=f[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var v=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?v+r:c[u-v.length]+v+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var f=c.prototype;function h(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],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\",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=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in 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v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[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 d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"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\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.j=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"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}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"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}\"]),c=n([\"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}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.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(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.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 i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,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=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.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()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n([\"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\"]),a=n([\"#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\"]),o=n([\"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 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=n([\"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}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},1950:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var 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outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function 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m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"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\"]),o=n([\"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=n([\"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}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var 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t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var 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t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},4340:function(t,e,r){\"use strict\";var n=r(957),i=r(7309);function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}t.exports=function(t,e,r,a,l,u){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),f=0;f<t.length;++f)c[f]=o(t[f],r,a,l,u);var h=0,p=1/0;for(f=0;f<c.length;++f){for(var d=0,v=0;v<2;++v)d+=Math.pow(c[f][v]-e[v],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n([\"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\"]),a=n([\"#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\"]),o=n([\"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=n([\"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}\"]),l=n([\"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}\"]),u=n([\"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}\"]),c=n([\"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}\"]),f=n([\"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}\"]),h=n([\"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}\"]),p=n([\"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}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,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=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.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()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"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}\"]),o=i([\"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=i([\"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\"]),l=i([\"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\"]),u=i([\"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}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(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}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var 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tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.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()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid 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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\"]),a=n([\"#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 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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\"]),o=n([\"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=n([\"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}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"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 — 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=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don'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\"]),l=i([\"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\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[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 M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.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},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+k[q][0],Y=y+k[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];F[N++]=Z,F[N++]=Y,F[N++]=W,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var m=f.size,x=u.indexOf(o)<0;if(x&&u.push(o),v===l&&y)0===f.offset&&f.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data.subarray(f.offset,f.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data.subarray(f.offset,f.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var _=n(b,p,[p[2],p[2]*p[0],1]);v===t.FLOAT&&l===t.UNSIGNED_BYTE?c(_,f):i.assign(_,f),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,m)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},3056:function(t){\"use strict\";t.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error(\"gl-vao: Too many vertex attributes\");for(var i=0;i<r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,u=!!a.normalized,c=a.stride||0,f=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,u,c,f)}else{if(\"number\"==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error(\"gl-vao: Invalid vertex attribute\");t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i<n;++i)t.disableVertexAttribArray(i)}else for(t.bindBuffer(t.ARRAY_BUFFER,null),i=0;i<n;++i)t.disableVertexAttribArray(i)}},7220:function(t,e,r){\"use strict\";var n=r(3056);function i(t){this.gl=t,this._elements=null,this._attributes=null,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(){n(this.gl,this._elements,this._attributes)},i.prototype.update=function(t,e,r){this._elements=e,this._attributes=t,this._elementsType=r||this.gl.UNSIGNED_SHORT},i.prototype.dispose=function(){},i.prototype.unbind=function(){},i.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._elements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},t.exports=function(t){return new i(t)}},3778:function(t,e,r){\"use strict\";var n=r(3056);function i(t,e,r,n,i,a){this.location=t,this.dimension=e,this.a=r,this.b=n,this.c=i,this.d=a}function 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strict\";t.exports=function(t,e,r,n,i,a,o,s,l,u){var c=e+a+u;if(f>0){var f=Math.sqrt(c+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,u);f=Math.sqrt(2*h-c+1),e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}},7774:function(t,e,r){\"use strict\";t.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),c(r=[].slice.call(r,0,4),r);var i=new f(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&i.lookAt(0,t.eye,t.center,t.up),i};var n=r(8444),i=r(3012),a=r(5950),o=r(7437),s=r(567);function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function c(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=u(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function f(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var h=f.prototype;h.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},h.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;c(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.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(),b.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(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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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}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{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)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(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]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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se=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};se.prototype.compare=function(t,e){return this.collator.compare(t,e)},se.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var le=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},ue=function(t){this.sections=t};ue.fromString=function(t){return new ue([new le(t,null,null,null,null)])},ue.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},ue.factory=function(t){return t instanceof ue?t:ue.fromString(t)},ue.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ce=function(t){this.name=t.name,this.available=t.available};function fe(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function he(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof oe)return!0;if(t instanceof se)return!0;if(t 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ve=function(t,e){this.type=t,this.value=e};ve.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!he(t[1]))return e.error(\"invalid value\");var r=t[1],n=pe(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new ve(n,r)},ve.prototype.evaluate=function(){return this.value},ve.prototype.eachChild=function(){},ve.prototype.outputDefined=function(){return!0},ve.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof oe?[\"rgba\"].concat(this.value.toArray()):this.value instanceof ue?this.value.serialize():this.value};var ge=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ge.prototype.toJSON=function(){return this.message};var ye={string:qt,number:Ht,boolean:Gt,object:Yt},me=function(t,e){this.type=t,this.args=e};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ye)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ye[s],n++}else a=Wt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=$t(a,o)}else r=ye[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Wt);if(!u)return null;l.push(u)}return new me(r,l)},me.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!ee(this.type,pe(r)))return r;if(e===this.args.length-1)throw new ge(\"Expected value to be of type \"+Qt(this.type)+\", but found \"+Qt(pe(r))+\" instead.\")}return null},me.prototype.eachChild=function(t){this.args.forEach(t)},me.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},me.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var xe=function(t){this.type=Jt,this.sections=t};xe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Ht)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,$t(qt))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Zt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Wt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new xe(n)},xe.prototype.evaluate=function(t){return new ue(this.sections.map((function(e){var r=e.content.evaluate(t);return pe(r)===Kt?new le(\"\",r,null,null,null):new le(de(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},xe.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var be=function(t){this.type=Kt,this.input=t};be.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,qt);return r?new be(r):e.error(\"No image name provided.\")},be.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ce.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},be.prototype.eachChild=function(t){t(this.input)},be.prototype.outputDefined=function(){return!1},be.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var 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a=Je(e,n),o=e[a],s=e[a+1],l=xr.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Qe[this.type.kind.toLowerCase()](u,c,l):\"interpolate-hcl\"===this.operator?yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l)):gr.reverse(gr.interpolate(gr.forward(u),gr.forward(c),l))},xr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},xr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},xr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var _r=function(t,e){this.type=t,this.args=e};_r.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var u=n&&i.some((function(t){return ee(n,t.type)}));return new _r(u?Wt:r,i)},_r.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},_r.prototype.eachChild=function(t){this.args.forEach(t)},_r.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},_r.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var wr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};wr.prototype.evaluate=function(t){return this.result.evaluate(t)},wr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},wr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new wr(r,o):null},wr.prototype.outputDefined=function(){return this.result.outputDefined()},wr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return 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kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Wt])?new kr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(pe(e))+\" instead.\");if(!ne(r,[\"string\",\"array\"]))throw new ge(\"Expected second argument to be of type array or string, but found \"+Qt(pe(r))+\" instead.\");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Ar=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Ar.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Wt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Ar(r,n,i):null}return new Ar(r,n)},Ar.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or 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Er(r.type,r,n)},Er.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!ne(e,[\"string\",\"array\"]))throw new ge(\"Expected first argument to be of type array or string, but found \"+Qt(pe(e))+\" instead.\");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},Er.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return[\"slice\",this.input.serialize(),this.beginIndex.serialize(),t]}return[\"slice\",this.input.serialize(),this.beginIndex.serialize()]};var Or=Pr(\"==\",(function(t,e,r){return e===r}),Cr),Ir=Pr(\"!=\",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!Cr(0,e,r,n)})),Dr=Pr(\"<\",(function(t,e,r){return e<r}),(function(t,e,r,n){return 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e=[],a=t.value,s=t.key;if(\"array\"!==Jr(a))return[new zt(s,a,\"array expected, \"+Jr(a)+\" found\")];if(2!==a.length)return[new zt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Jr(a[0]))return[new zt(s,a,\"object expected, \"+Jr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new zt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new zt(s,a,\"object stop key must have value\")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(dn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:gn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return sn(Nt(a[1]))?e.concat([new zt(s+\"[1]\",a[1],\"expressions are not allowed in function 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t.length<=1?\"any\"!==r:\"==\"===r?Mn(t[1],t[2],\"==\"):\"!=\"===r?Ln(Mn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Mn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(An))):\"all\"===r?[\"all\"].concat(t.slice(1).map(An)):\"none\"===r?[\"all\"].concat(t.slice(1).map(An).map(Ln)):\"in\"===r?Sn(t[1],t.slice(2)):\"!in\"===r?Ln(Sn(t[1],t.slice(2))):\"has\"===r?En(t[1]):\"!has\"===r?Ln(En(t[1])):\"within\"!==r||t}function Mn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Tn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Un({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new zt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Jr(a)&&Yr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new zt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new zt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Kr(Nt(a))&&\"identity\"===Bt(a.type)&&f.push(new zt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Bt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new zt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new zt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new zt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new zt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new zt(n,r,'missing required property \"source\"'));return e=e.concat(dn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Un({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Cn,layout:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Dn(Ft({layerType:s},t))}}})},paint:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return In(Ft({layerType:s},t))}}})}}})),e}function Rn(t){var e=t.value,r=t.key,n=Jr(e);return\"string\"!==n?[new zt(r,e,\"string expected, \"+n+\" found\")]:[]}var Fn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Jr(r))return Rn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Rn({key:e+\".\"+i,value:r[i]}));return n}};function Bn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new zt(r,e,'\"type\" is required')];var a,o=Bt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return dn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Fn});case\"geojson\":if(a=dn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Fn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,mn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,mn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return dn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return dn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new zt(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return xn({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function Nn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Jr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new zt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(Un({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(Un({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new zt(s,e[s],'unknown property \"'+s+'\"')])}return a}var jn={\"*\":function(){return[]},array:vn,boolean:function(t){var e=t.value,r=t.key,n=Jr(e);return\"boolean\"!==n?[new zt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:gn,color:function(t){var e=t.key,r=t.value,n=Jr(r);return\"string\"!==n?[new zt(e,r,\"color 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o=i[$n+a],s=i[$n+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[$n+n.length],u=i[$n+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Qn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Qn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Qn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Qn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[$n+o]=a,i.set(s,a),a+=s.length}return i[$n+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[$n+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ti=self.ImageData,ei=self.ImageBitmap,ri={};function ni(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),ri[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ii in ni(\"Object\",Object),Kn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Kn.deserialize=function(t){return new Kn(t.buffer)},ni(\"Grid\",Kn),ni(\"Color\",oe),ni(\"Error\",Error),ni(\"ResolvedImage\",ce),ni(\"StylePropertyFunction\",hn),ni(\"StyleExpression\",on,{omit:[\"_evaluator\"]}),ni(\"ZoomDependentExpression\",cn),ni(\"ZoomConstantExpression\",un),ni(\"CompoundExpression\",Ae,{omit:[\"_evaluate\"]}),jr)jr[ii]._classRegistryKey||ni(\"Expression_\"+ii,jr[ii]);function ai(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function oi(t){return ei&&t instanceof ei}function si(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ai(t)||oi(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ti)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(si(o,e))}return n}if(\"object\"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error(\"can't serialize object of unregistered class\");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ri[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function li(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=ri[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class 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Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description 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t&&t.indexOf(\"NetworkError\")>-1&&(Ti=_i),wi&&wi(t)};function Mi(){Si.fire(new Pt(\"pluginStateChange\",{pluginStatus:Ti,pluginURL:ki}))}var Si=new It,Ei=function(){return Ti},Li=function(){if(Ti!==mi||!ki)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Ti=xi,Mi(),ki&&kt({url:ki},(function(t){t?Ai(t):(Ti=bi,Mi())}))},Ci={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Ti===bi||null!=Ci.applyArabicShaping},isLoading:function(){return Ti===xi},setState:function(t){Ti=t.pluginStatus,ki=t.pluginURL},isParsed:function(){return null!=Ci.applyArabicShaping&&null!=Ci.processBidirectionalText&&null!=Ci.processStyledBidirectionalText},getPluginURL:function(){return ki}},Pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new 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b(this._values[t].transition)},Di.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ii(this._values[t].property)),this._values[t].transition=b(e)||void 0},Di.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Di.prototype.transitioned=function(t,e){for(var r=new Ri(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Di.prototype.untransitioned=function(){for(var t=new Ri(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var zi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};zi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ri.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Fi.prototype.getValue=function(t){return b(this._values[t].value)},Fi.prototype.setValue=function(t,e){this._values[t]=new Oi(this._values[t].property,null===e?void 0:b(e))},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},Fi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},Bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Ni.prototype.get=function(t){return this._values[t]};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},ji.prototype.interpolate=function(t,e,r){var n=Qe[this.specification.type];return n?n(t,e,r):t};var Ui=function(t,e){this.specification=t,this.overrides=e};Ui.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Bi(this,t.expression,e)},Ui.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Qe[this.specification.type];return n?new Bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ui.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Bi(this,{kind:\"constant\",value:s},e)}return new Bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ui),Hi=function(t){this.specification=t};Hi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom+1),e)),e)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni(\"DataDrivenProperty\",Ui),ni(\"DataConstantProperty\",ji),ni(\"CrossFadedDataDrivenProperty\",Vi),ni(\"CrossFadedProperty\",Hi),ni(\"ColorRampProperty\",qi);var Zi=\"-transition\",Yi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new Fi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Di(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ni(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Xn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Wn,n,t,e,r))return!1}if(y(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={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&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Jn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Dt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Bi&&Yr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(It),Wi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Xi=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Ji=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ki(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Wi[i].BYTES_PER_ELEMENT),o=r=$i(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:$i(r,Math.max(n,e)),alignment:e}}function $i(t,e){return Math.ceil(t/e)*e}Ji.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Ji.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Ji.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Ji.prototype.clear=function(){this.length=0},Ji.prototype.resize=function(t){this.reserve(t),this.length=t},Ji.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Ji.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Ji);Qi.prototype.bytesPerElement=4,ni(\"StructArrayLayout2i4\",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);ea.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i4i12\",ea);var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Ji);ra.prototype.bytesPerElement=8,ni(\"StructArrayLayout2i4ub8\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Ji);na.prototype.bytesPerElement=18,ni(\"StructArrayLayout8ui2ub18\",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Ji);ia.prototype.bytesPerElement=24,ni(\"StructArrayLayout4i4ui4i24\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Ji);aa.prototype.bytesPerElement=12,ni(\"StructArrayLayout3f12\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Ji);oa.prototype.bytesPerElement=4,ni(\"StructArrayLayout1ul4\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.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)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Ji);sa.prototype.bytesPerElement=20,ni(\"StructArrayLayout6i1ul2ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);la.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i2i2i12\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Ji);ua.prototype.bytesPerElement=16,ni(\"StructArrayLayout2f1f2i16\",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Ji);ca.prototype.bytesPerElement=12,ni(\"StructArrayLayout2ub2f12\",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.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)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni(\"StructArrayLayout8i15ui1ul4f68\",pa);var da=function(t){function e(){t.apply(this,arguments)}return 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Ji);ba.prototype.bytesPerElement=16,ni(\"StructArrayLayout4f16\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={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 r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return 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this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Xi);Ta.prototype.size=48;var ka=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ta(this,t)},e}(ha);ni(\"PlacedSymbolArray\",ka);var Aa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={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 r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Ga),Ya=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Ga),Wa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Ga),Xa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return 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Float32Array(16),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=$a}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Ga);function to(t){return[Ia(255*t.r,255*t.g),Ia(255*t.b,255*t.a)]}var eo=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};eo.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},eo.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new Ka(t,e):new Ya(t,e)};var ro=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ro.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ro.prototype.setUniform=function(t,e,r,n){var i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)},ro.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Ja(t,e):new Ya(t,e)};var no=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};no.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},no.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},no.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=to(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},no.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},no.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var io=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};io.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},io.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},io.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=to(r),a=to(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},io.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},io.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},io.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},io.prototype.getBinding=function(t,e,r){return new Ya(t,e)};var ao=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};ao.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},ao.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},ao.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},ao.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Da.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Da.members,this.expression.isStateDependent))},ao.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var oo=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Bi&&Yr(o.property.specification)){var s=lo(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new ro(l.value,s):new eo(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=uo(a,u,\"source\");this.binders[a]=h?new ao(l,u,c,e,p,t.id):new no(l,s,u,p),i.push(\"/a_\"+a)}else{var d=uo(a,u,\"composite\");this.binders[a]=new io(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};oo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof no||e instanceof io?e.maxValue:0},oo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof no||o instanceof io||o instanceof ao)&&o.populatePaintArray(t,e,r,n,i)}},oo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ro&&n.setConstantPatternPositions(t,e)}},oo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof no||h instanceof io||h instanceof ao)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},oo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof eo||r instanceof ro)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},oo.prototype.getPaintVertexBuffers=function(){return this._buffers},oo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof eo||i instanceof ro||i instanceof io)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},oo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},oo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof ao){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof no||r instanceof io)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},oo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof no||r instanceof io||r instanceof ao)&&r.upload(t)}this.updatePaintBuffers()},oo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof no||e instanceof io||e instanceof ao)&&e.destroy()}};var so=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new oo(o,r,n,t)}this.needsUpload=!1,this._featureMap=new ja,this._bufferOffset=0};function lo(t,e){return{\"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\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function uo(t,e,r){var n={color:{source:xa,composite:ba},number:{source:da,composite:xa}},i=function(t){return{\"line-pattern\":{source:na,composite:na},\"fill-pattern\":{source:na,composite:na},\"fill-extrusion-pattern\":{source:na,composite:na}}[t]}(t);return i&&i[r]||n[e][r]}so.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},so.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},so.prototype.get=function(t){return this.programConfigurations[t]},so.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},so.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},ni(\"ConstantBinder\",eo),ni(\"CrossFadedConstantBinder\",ro),ni(\"SourceExpressionBinder\",no),ni(\"CrossFadedCompositeBinder\",ao),ni(\"CompositeExpressionBinder\",io),ni(\"ProgramConfiguration\",oo,{omit:[\"_buffers\"]}),ni(\"ProgramConfigurationSet\",so);var co=8192;var fo,ho=(fo=15,{min:-1*Math.pow(2,fo-1),max:Math.pow(2,fo-1)-1});function po(t){for(var e=co/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<ho.min||o.x>ho.max||o.y<ho.min||o.y>ho.max)&&(w(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=u(o.x,ho.min,ho.max),o.y=u(o.y,ho.min,ho.max))}return r}function vo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var go=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Qi,this.indexArray=new fa,this.segments=new Oa,this.programConfigurations=new so(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function yo(t,e){for(var r=0;r<t.length;r++)if(Mo(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Mo(t,e[n]))return!0;return!!_o(t,e)}function mo(t,e,r){return!!Mo(t,e)||!!To(e,t,r)}function xo(t,e){if(1===t.length)return Ao(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Mo(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ao(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(_o(t,e[o]))return!0;return!1}function bo(t,e,r){if(t.length>1){if(_o(t,e))return!0;for(var n=0;n<e.length;n++)if(To(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(To(t[i],e,r))return!0;return!1}function _o(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var 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n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Xs(t,e,r){if(3===t){var n=new Zs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ys.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Vs(this._pbf,e,this.extent,this._keys,this._values)};var Js={VectorTile:function(t,e){this.layers=t.readFields(Xs,{},e)},VectorTileFeature:Vs,VectorTileLayer:Zs},Ks=Js.VectorTileFeature.types,$s=Math.pow(2,13);function Qs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*$s)+o,i*$s*2,a*$s*2,Math.round(s))}var tl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ea,this.indexArray=new fa,this.programConfigurations=new so(Us,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function el(t,e){return t.x===e.x&&(t.x<0||t.x>co)||t.y===e.y&&(t.y<0||t.y>co)}tl.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=zs(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?po(o):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:po(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Rs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},tl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},tl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},tl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},tl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},tl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Us),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},tl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},tl.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Is(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>co}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>co}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!el(y,m)){f.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ks[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Qs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=es(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ni(\"FillExtrusionBucket\",tl,{omit:[\"layers\",\"features\"]});var rl={paint:new Gi({\"fill-extrusion-opacity\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vi(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},nl=function(t){function e(e){t.call(this,e,rl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new tl(t)},e.prototype.queryRadius=function(){return Lo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Co(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];No(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;xo(r,e)&&(n=al(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];yo(r,f)&&(n=Math.min(n,al(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Yi);function il(t,e){return t.x*e.x+t.y*e.y}function al(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=il(s,s),f=il(s,l),h=il(l,l),p=il(u,s),d=il(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var ol=Ki([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,sl=Js.VectorTileFeature.types,ll=Math.cos(Math.PI/180*37.5),ul=Math.pow(2,14)/.5,cl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ra,this.indexArray=new fa,this.programConfigurations=new so(ol,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};cl.prototype.populate=function(t,e,r){this.hasPattern=zs(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?po(l):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),p,r)){h||(p.geometry=po(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Rs(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},cl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},cl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},cl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},cl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},cl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ol),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},cl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},cl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},cl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===sl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*co/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<ll&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},cl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>ul/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},cl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},cl.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(ul-1):this.distance},cl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},ni(\"LineBucket\",cl,{omit:[\"layers\",\"patternFeatures\"]});var fl=new Gi({\"line-cap\":new ji(Dt.layout_line[\"line-cap\"]),\"line-join\":new Ui(Dt.layout_line[\"line-join\"]),\"line-miter-limit\":new ji(Dt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new ji(Dt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ui(Dt.layout_line[\"line-sort-key\"])}),hl={paint:new Gi({\"line-opacity\":new Ui(Dt.paint_line[\"line-opacity\"]),\"line-color\":new Ui(Dt.paint_line[\"line-color\"]),\"line-translate\":new ji(Dt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new ji(Dt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ui(Dt.paint_line[\"line-width\"]),\"line-gap-width\":new Ui(Dt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ui(Dt.paint_line[\"line-offset\"]),\"line-blur\":new Ui(Dt.paint_line[\"line-blur\"]),\"line-dasharray\":new Hi(Dt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vi(Dt.paint_line[\"line-pattern\"]),\"line-gradient\":new qi(Dt.paint_line[\"line-gradient\"])}),layout:fl},pl=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ui),dl=new pl(hl.paint.properties[\"line-width\"].specification);dl.useIntegerZoom=!0;var vl=function(t){function e(e){t.call(this,e,hl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Jo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=dl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new cl(t)},e.prototype.queryRadius=function(t){var e=t,r=gl(Eo(\"line-width\",this,e),Eo(\"line-gap-width\",this,e)),n=Eo(\"line-offset\",this,e);return r/2+Math.abs(n)+Lo(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Co(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*gl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Mo(t,i[a]))return!0;if(bo(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Yi);function gl(t,e){return e>0?e+2*t:t}var 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Yl=3;function Wl(t,e,r){1===t&&r.readMessage(Xl,e)}function Xl(t,e,r){if(3===t){var n=r.readMessage(Jl,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Yo({width:o+2*Yl,height:s+2*Yl},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function Jl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var Kl=Yl;function $l(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},ru.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},ni(\"ImagePosition\",tu),ni(\"ImageAtlas\",ru);var nu={horizontal:1,vertical:2,horizontalOnly:3},iu=-17;var au=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};au.forText=function(t,e){var r=new au;return r.scale=t||1,r.fontStack=e,r},au.forImage=function(t){var e=new au;return e.imageName=t,e};var ou=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function su(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=ou.fromFeature(t,i);f===nu.vertical&&y.verticalizePunctuation();var m=Ci.processBidirectionalText,x=Ci.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),vu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new ou;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,vu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new ou;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,vu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=iu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*kl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=kl,z=!(l===nu.horizontal||!c&&!hi(L)||c&&(lu[L]||di(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*kl/f,P={width:F[0],height:F[1],left:Ql,top:-Kl,advance:z?F[1]:F[0]},C=w+(kl-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-kl*_:F[1]*S.scale-kl*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*kl}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var H=h-u;d=Math.max(H,d),yu(k,0,k.length-1,g,A)}h=0;var q=a*_+A;T.lineOffset=Math.max(A,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-iu,Z=gu(o),Y=Z.horizontalAlign,W=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-iu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,W,d,v,a,G,i.length),t.top+=-W*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}ou.fromFeature=function(t,e){for(var r=new ou,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},ou.prototype.length=function(){return this.text.length},ou.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},ou.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},ou.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},ou.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&pi(n)&&!Tl[t[r+1]]||i&&pi(i)&&!Tl[t[r-1]]||!Tl[t[r]]?e+=t[r]:e+=Tl[t[r]]}return e}(this.text)},ou.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&lu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&lu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},ou.prototype.substring=function(t,e){var r=new ou;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},ou.prototype.toString=function(){return this.text},ou.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},ou.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(au.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},ou.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(au.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w(\"Reached maximum number of images 6401\")}else w(\"Can't add FormattedSection with an empty image.\")},ou.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var lu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},uu={};function cu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*kl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function fu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function hu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function pu(t,e,r,n,i,a){for(var o=null,s=fu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=fu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function du(t){return t?du(t.priorBreak).concat(t.index):[]}function vu(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=cu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"​\")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(lu[p]||(c+=cu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(ci[\"Bopomofo Extended\"](v)||ci.Bopomofo(v)||ci[\"CJK Compatibility Forms\"](v)||ci[\"CJK Compatibility 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yu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function mu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}uu[10]=!0,uu[32]=!0,uu[38]=!0,uu[40]=!0,uu[41]=!0,uu[43]=!0,uu[45]=!0,uu[47]=!0,uu[173]=!0,uu[183]=!0,uu[8203]=!0,uu[8208]=!0,uu[8211]=!0,uu[8231]=!0;var xu=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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Oa,this.collisionVertexArray=new ca};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,xl.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ni(\"CollisionBuffers\",oc);var sc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Do([]),this.placementViewportMatrix=Do([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=_u(this.zoom,e[\"text-size\"]),this.iconSizeData=_u(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return nu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Sa,this.lineVertexArray=new Ea,this.symbolInstances=new Ma},sc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=Tl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?po(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=po(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ue.factory(A);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ei()||this.hasRTLText&&Ci.isParsed())&&(k=wl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:po(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(nu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=fi(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},sc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===nu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(la,bl.members,ya),this.iconCollisionBox=new oc(la,bl.members,ya);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},sc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},sc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},sc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ni(\"SymbolBucket\",sc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({\"symbol-placement\":new ji(Dt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new ji(Dt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new ji(Dt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ui(Dt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new ji(Dt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new ji(Dt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new ji(Dt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new ji(Dt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new ji(Dt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ui(Dt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new ji(Dt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new ji(Dt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ui(Dt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ui(Dt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ji(Dt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new ji(Dt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ui(Dt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ui(Dt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new ji(Dt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new ji(Dt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new ji(Dt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ui(Dt.layout_symbol[\"text-field\"]),\"text-font\":new Ui(Dt.layout_symbol[\"text-font\"]),\"text-size\":new Ui(Dt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ui(Dt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new ji(Dt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ui(Dt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ui(Dt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ui(Dt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new ji(Dt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ui(Dt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new ji(Dt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new ji(Dt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ui(Dt.layout_symbol[\"text-rotate\"]),\"text-padding\":new ji(Dt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new ji(Dt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ui(Dt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ui(Dt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new ji(Dt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new ji(Dt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new ji(Dt.layout_symbol[\"text-optional\"])}),uc={paint:new Gi({\"icon-opacity\":new Ui(Dt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ui(Dt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ui(Dt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ui(Dt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ui(Dt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new ji(Dt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new ji(Dt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ui(Dt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ui(Dt.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ui(Dt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ui(Dt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ui(Dt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new ji(Dt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new ji(Dt.paint_symbol[\"text-translate-anchor\"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni(\"FormatSectionOverride\",cc,{omit:[\"defaultValue\"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||sn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new on(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new un(\"source\",s):new cn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Bi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=uc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ue)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Yi),hc={paint:new Gi({\"background-color\":new ji(Dt.paint_background[\"background-color\"]),\"background-pattern\":new Hi(Dt.paint_background[\"background-pattern\"]),\"background-opacity\":new ji(Dt.paint_background[\"background-opacity\"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi),dc={paint:new Gi({\"raster-opacity\":new ji(Dt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new ji(Dt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new ji(Dt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new ji(Dt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new ji(Dt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new ji(Dt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new ji(Dt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new ji(Dt.paint_raster[\"raster-fade-duration\"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi);var gc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Yi),yc={circle:Uo,heatmap:Ko,hillshade:Qo,fill:js,\"fill-extrusion\":nl,line:vl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var kc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};kc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},kc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Ac=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new kc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function Mc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Ac.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:si(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Ac.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Lc(Number(\"lng\"in t?t.lng:t.lon),Number(t.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 Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.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(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*co,(t.y*e-this.y)*co)},Fc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ni(\"CanonicalTileID\",Fc),ni(\"OverscaledTileID\",Nc,{omit:[\"posMatrix\"]});var Uc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Uc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ni(\"DEMData\",Uc);var Vc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},qc={geometry:{configurable:!0}};qc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},qc.geometry.set=function(t){this._geometry=t},Hc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Gc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Kn(co,16,0),this.grid3D=new Kn(co,16,0),this.featureIndexArray=new Ca,this.promoteId=e};function Yc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof Ni?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Wc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Xc(t,e){return e-t}Zc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<co&&c[1]<co&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Mo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(So(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=po(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Yc(x.paint,y.paint,p,m,o),x.layout=Yc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=wn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Zc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Zc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},ni(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof sc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof sc&&o.hasRTLText){this.hasRTLText=!0,Ci.isLoading()||Ci.isLoaded()||\"deferred\"!==Ei()||Li();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new wa},Jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=wn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Jc.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)},Jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=Ac,t.AlphaImage=Yo,t.CanonicalTileID=Fc,t.CollisionBoxArray=wa,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=ji,t.DictionaryCoder=Vc,t.EXTENT=co,t.ErrorEvent=Ot,t.EvaluationParameters=Pi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Zc,t.FillBucket=Fs,t.FillExtrusionBucket=tl,t.ImageAtlas=ru,t.ImagePosition=tu,t.LineBucket=cl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=kl,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Gi,t.Protobuf=Sl,t.RGBAImage=Wo,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=xt,t.SegmentVector=Oa,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=ma,t.StructArrayLayout2f1f2i16=ua,t.StructArrayLayout2i4=Qi,t.StructArrayLayout3ui6=fa,t.StructArrayLayout4i8=ta,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Di,t.Uniform1f=Ya,t.Uniform1i=Za,t.Uniform2f=Wa,t.Uniform3f=Xa,t.Uniform4f=Ja,t.UniformColor=Ka,t.UniformMatrix4f=Qa,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=nu,t.ZoomHistory=ui,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++yt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=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},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=l,t.emitValidationErrors=Jn,t.endsWith=y,t.enforceCacheSizeLimit=function(t){ht(),tt&&tt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=wu,t.evaluateSizeForZoom=Tu,t.evaluateVariableOffset=Yu,t.evented=Si,t.extend=f,t.featureFilter=wn,t.filterObject=x,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=gu,t.getAnchorJustification=Wu,t.getArrayBuffer=kt,t.getImage=Et,t.getJSON=function(t,e){return Tt(f(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=Ei,t.getReferrer=_t,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var 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c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.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)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var 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s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,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(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,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.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),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._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"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.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(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())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Pt.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()},Pt.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},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={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 qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.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:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_r(\"#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\",\"#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;}\"),Je=_r(\"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);}\"),Ke=_r(\"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);}\"),$e=_r(\"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}\",\"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);}\"),Qe=_r(\"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);}\"),tr=_r(\"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,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"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;}\"),rr=_r(\"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_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;}\"),nr=_r(\"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);}\"),ir=_r(\"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,0,1);}\"),ar=_r(\"#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);}\"),or=_r(\"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;}\"),sr=_r(\"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;}\"),lr=_r(\"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}\",\"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);}\"),ur=_r(\"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;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;}\"),cr=_r(\"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;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;}\"),fr=_r(\"#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 float u_maxzoom;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 exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*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;}\"),hr=_r(\"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;}\"),pr=_r(\"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;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);}\"),dr=_r(\"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 float v_lineprogress;\\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,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\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_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\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;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;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);}\"),vr=_r(\"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}\",\"\\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;}\"),gr=_r(\"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;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);}\"),yr=_r(\"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;}\"),mr=_r(\"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}\",\"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));}\"),xr=_r(\"#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}\",\"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);}\"),br=_r(\"#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}\",\"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);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Nr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Wr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Wr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Xr||Xr.length<2*h)&&(Xr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Xr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var nn=t.identity(new Float32Array(16));function an(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function on(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=an(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function sn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function ln(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(sn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?nn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?$r(O.kind,z,x,y,e,X,J,K,R,F):Kr(O.kind,z,x,y,e,X,J,K,a,R,!0):Jr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,un(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}un(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function cn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function hn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=Nr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function pn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,jr(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function dn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);on(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&ln(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&ln(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(rn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),rn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Br(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?Hr(e,w,n,p):u?qr(e,w,n,u,p):h?Vr(e,w,n):Ur(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);cn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);cn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Lt.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?pn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&hn(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=dn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?tn(b,i,t,u,{tileID:x,tileSize:l},g):Qr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)kn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Mn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Mn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Mn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Mn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Mn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Mn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Mn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Mn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Mn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Mn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&An.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Mn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),An[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Mn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Mn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Mn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Mn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Mn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Mn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Mn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Mn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.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()},Mn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Mn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-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((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new En(n,i)},En.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},En.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},En.prototype.intersects=function(e){for(var r=[[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]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={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}};Cn.prototype.clone=function(){var t=new Cn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Cn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Cn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Cn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Cn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Cn.prototype,Pn);var On=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};On.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},On.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},On.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},On.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},On.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function jn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Bn.prototype.clear=function(){this._inertiaBuffer=[]},Bn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Bn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Bn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=jn(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Nn(s,l)}if(r.zoom){var u=jn(r.zoom,o,zn);s.zoom=this._map.transform.zoom+u.amount,Nn(s,u)}if(r.bearing){var c=jn(r.bearing,o,Rn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Nn(s,c)}if(r.pitch){var f=jn(r.pitch,o,Fn);s.pitch=this._map.transform.pitch+f.amount,Nn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Un=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Vn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),qn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};qn.prototype.reset=function(){delete this._mousedownPos},qn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},qn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseup=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Zn.prototype.isEnabled=function(){return!!this._enabled},Zn.prototype.isActive=function(){return!!this._active},Zn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Zn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Zn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Zn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Zn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Zn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Zn.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},Zn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Wn=function(t){this.reset(),this.numTouches=t.numTouches};Wn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Wn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Wn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Wn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Kn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Kn.prototype.enable=function(){this._enabled=!0},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Kn),Qn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ei=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ei.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ei.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ei.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},ei.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ei.prototype.touchcancel=function(){this.reset()},ei.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ei.prototype.enable=function(){this._enabled=!0},ei.prototype.disable=function(){this._enabled=!1,this.reset()},ei.prototype.isEnabled=function(){return this._enabled},ei.prototype.isActive=function(){return this._active};var ri=function(){this.reset()};function ni(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ri.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ri.prototype._start=function(t){},ri.prototype._move=function(t,e,r){return{}},ri.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ri.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ni(r,e,i),s=ni(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ri.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ni(n,e,a),l=ni(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ri.prototype.touchcancel=function(){this.reset()},ri.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ri.prototype.disable=function(){this._enabled=!1,this.reset()},ri.prototype.isEnabled=function(){return this._enabled},ri.prototype.isActive=function(){return this._active};function ii(t,e){return Math.log(t/e)/Math.LN2}var ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ii(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ii(this._distance,r),pinchAround:e}},e}(ri);function oi(t,e){return 180*t.angleWith(e)/Math.PI}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:oi(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=oi(t,this._startVector);return Math.abs(r)<e},e}(ri);function li(t){return Math.abs(t.y)>Math.abs(t.x)}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:hi,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%pi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},di.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},di.prototype._start=function(e){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 n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>pi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},yi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},yi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};ki.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},ki.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new qn(e,t));var n=e.boxZoom=new Zn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new gi;e.doubleClickZoom=new vi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new yi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ui;this._add(\"touchPitch\",s);var l=new Qn(t),u=new ti(t);e.dragRotate=new xi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new $n(t),f=new ei(t);e.dragPan=new mi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new si,p=new ai;e.touchZoomRotate=new bi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new di(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new fi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Gn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},ki.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ki.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ki.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ki.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ki.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ki.prototype.isMoving=function(){return Boolean(_i(this._eventsInProgress))||this.isZooming()},ki.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ki.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ki.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},ki.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ti(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ti(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},ki.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ki.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},ki.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ti(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ki.prototype._fireEvents=function(e,r){var n=this,i=_i(this._eventsInProgress),a=_i(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=_i(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ki.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ki.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new wi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var Ai=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Mi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Mi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&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),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Mi.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},Mi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},Mi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Si=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Si.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return\"bottom-left\"},Si.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Si.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Si.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ei.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ei.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Li={\"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\"},Ci=t.window.HTMLImageElement,Pi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Ii=60,Di={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ii,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},zi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Di,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Cn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Pi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ki(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Mi({customAttribution:e.customAttribution})),this.addControl(new Si,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ii:t)>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ci||Oi&&r instanceof Oi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.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 p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Ci||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.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(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Ci||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.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/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),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\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Mn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}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 t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].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),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ri(this._canvasContainer),Ri(this._controlContainer),Ri(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Ai);function Ri(t){t.parentNode&&t.parentNode.removeChild(t)}var Fi={showCompass:!0,showZoom:!0,visualizePitch:!1},Bi=function(e){var n=this;this.options=t.extend({},Fi,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Bi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Bi.prototype._rotateCompassArrow=function(){var t=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=t},Bi.prototype.onAdd=function(t){return this._map=t,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 Ni(this._map,this._compass,this.options.visualizePitch)),this._container},Bi.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},Bi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Bi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ni=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Qn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ti({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function ji(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ni.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ni.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ui={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 Vi(t,e,r){var n=t.classList;for(var i in Ui)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Hi,qi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{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\"}];c<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.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\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.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\"),g.appendChild(y);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Vi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.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},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,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},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ui[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),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))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(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},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Gi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Zi=0,Yi=!1,Wi=function(e){function n(r){e.call(this),this.options=t.extend({},Gi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Hi?n(Hi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Hi=\"denied\"!==t.state,n(Hi)})):(Hi=!!t.window.navigator.geolocation,n(Hi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.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,Zi=0,Yi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.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\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,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\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){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 r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Yi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.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\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}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 qi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new qi({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 r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.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 t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Zi--,Yi=!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 t.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 t.Event(\"trackuserlocationstart\"))}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\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.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)},n}(t.Evented),Xi={maxWidth:100,unit:\"metric\"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):$i(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?$i(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?$i(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):$i(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Ji.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ji.prototype.setUnit=function(t){this.options.unit=t,Ki(this._map,this._container,this.options)};var Qi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Qi.prototype.onAdd=function(e){return this._map=e,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\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.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 ta={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,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._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 t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.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 t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),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},n.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},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),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))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&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(t){return e._container.classList.add(t)})),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=ji(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=ra(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,Ui[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Vi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function ra(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return ra(new t.Point(0,0))}var na={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:zi,NavigationControl:Bi,GeolocateControl:Wi,AttributionControl:Mi,ScaleControl:Ji,FullscreenControl:Qi,Popup:ea,Marker:qi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},87263:function(t,e,r){var n=r(26859);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){\"use 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,u){var c=x[u];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\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\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\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\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\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\\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\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\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 * 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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\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*y.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,u=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){u=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(u)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=v,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.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:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=c({},o);s.frag=f([\"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\"]),s.vert=f([\"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\\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}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"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\"]),l.vert=f([\"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\\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\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.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},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{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\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},37715:function(t,e,r){var n=r(63489),i=r(56131);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},94338:function(t,e,r){var n=r(56131),i=r(63489);n(i.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\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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                       {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('dc6aa47b-0961-4e4f-bb59-753491461702');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import umap as umap\n",
+    "import plotly.express\n",
+    "\n",
+    "# Compute UMAP representation\n",
+    "reducer = umap.UMAP(random_state=1)\n",
+    "umap_coords = reducer.fit_transform(embeddings)\n",
+    "\n",
+    "plotly.express.scatter(x=umap_coords[:,0],\n",
+    "                       y=umap_coords[:,1],\n",
+    "                       template=\"simple_white\",\n",
+    "                       hover_name=cell_metadata.iloc[np.unique(test_pairs)]['hpa_crop_id'],\n",
+    "                       color=cell_metadata.iloc[np.unique(test_pairs)]['hpa_locations'])"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/subcellular.rst b/docs/subcellular.rst
new file mode 100644
index 0000000..2039a1a
--- /dev/null
+++ b/docs/subcellular.rst
@@ -0,0 +1,10 @@
+Subcellular Protein Localization
+===================================================
+.. autoclass:: cajal.subcellular.CellAligner_Cell
+.. autofunction:: cajal.subcellular.process_image
+.. autofunction:: cajal.subcellular.gw_pairwise_parallel
+.. autofunction:: cajal.subcellular.map_cell_to_cell
+.. autofunction:: cajal.subcellular.map_to_anchor_cell
+.. autofunction:: cajal.subcellular.gw_mapped_ot_pairwise_parallel
+.. autofunction:: cajal.subcellular.find_centroid
+.. autofunction:: cajal.subcellular.plot_cell_image
\ No newline at end of file
diff --git a/docs/subcellular_dl.rst b/docs/subcellular_dl.rst
new file mode 100644
index 0000000..9d24a2a
--- /dev/null
+++ b/docs/subcellular_dl.rst
@@ -0,0 +1,14 @@
+Subcellular Protein Localization Deep Learning
+===================================================
+.. autofunction:: cajal.subcellular_dl.make_NN_training_data
+.. autoclass:: cajal.subcellular_dl.dCellAlignerNetwork
+.. autoclass:: cajal.subcellular_dl.PairedDataset
+.. autoclass:: cajal.subcellular_dl.RandomHorizontalRescale
+.. autofunction:: cajal.subcellular_dl.generate_dataset_split_pairs
+.. autofunction:: cajal.subcellular_dl.pretrain_model
+.. autofunction:: cajal.subcellular_dl.train_dCellAligner
+.. autofunction:: cajal.subcellular_dl.load_dCellAligner_model
+.. autofunction:: cajal.subcellular_dl.extract_embeddings
+.. autofunction:: cajal.subcellular_dl.predict_distances
+.. autofunction:: cajal.subcellular_dl.plot_distance_predictions
+.. autofunction:: cajal.subcellular_dl.plot_reconstruction_comparison
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index 9780c69..e308ab4 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,67 +1,70 @@
-asttokens==2.4.1
-comm==0.2.2
-contourpy==1.0.6
-cycler==0.11.0
-Cython==3.0.10
-debugpy==1.8.1
-decorator==5.1.1
-dill==0.3.8
-executing==2.0.1
-fonttools==4.43.0
-igraph==0.10.2
-imageio==2.33.0
-ipykernel==6.29.4
-ipython==8.18.1
-ipywidgets==8.0.2
-jedi==0.19.1
-joblib==1.2.0
-jupyter_client==8.6.2
-jupyter_core==5.7.2
-jupyterlab-widgets==3.0.3
-kiwisolver==1.4.4
-lazy_loader==0.4
-leidenalg==0.10.2
-llvmlite==0.43.0
-matplotlib==3.9.0
-matplotlib-inline==0.1.7
-mpltern==1.0.4
-multiprocess==0.70.16
-nest-asyncio==1.6.0
-networkx==2.8.8
-numpy==2.0.0
-packaging==24.1
-pandas==2.2.2
-parso==0.8.4
-pathos==0.3.2
-pexpect==4.9.0
-pillow==11.0
-platformdirs==4.2.2
-potpourri3d==1.1.0
-pox==0.3.4
-ppft==1.7.6.8
-prompt_toolkit==3.0.47
-psutil==6.0.0
-ptyprocess==0.7.0
-pure-eval==0.2.2
-Pygments==2.18.0
-pyparsing==3.1.2
-python-dateutil==2.9.0.post0
-python-louvain==0.16
-pytz==2024.1
-pyzmq==26.0.3
-scikit-dimension==0.3.4
-scikit-image==0.24.0
-scikit-learn==1.5.0
-scipy==1.14.1
-six==1.16.0
-stack-data==0.6.3
-texttable==1.6.4
-threadpoolctl==3.1.0
-tifffile==2022.10.10
-tornado==6.4.2
-tqdm==4.66.4
-traitlets==5.14.3
-trimesh==3.16.1
-tzdata==2024.1
-wcwidth==0.2.13
-widgetsnbextension==4.0.3
+asttokens==2.4.1
+comm==0.2.2
+contourpy==1.0.6
+cycler==0.11.0
+Cython==3.0.10
+debugpy==1.8.1
+decorator==5.1.1
+dill==0.3.8
+executing==2.0.1
+fonttools==4.43.0
+igraph==0.10.2
+imageio==2.33.0
+ipykernel==6.29.4
+ipython==8.18.1
+ipywidgets==8.0.2
+jedi==0.19.1
+joblib==1.2.0
+jupyter_client==8.6.2
+jupyter_core==5.7.2
+jupyterlab-widgets==3.0.3
+kiwisolver==1.4.4
+lazy_loader==0.4
+leidenalg==0.10.2
+llvmlite==0.43.0
+matplotlib==3.9.0
+matplotlib-inline==0.1.7
+mpltern==1.0.4
+multiprocess==0.70.16
+nest-asyncio==1.6.0
+networkx==2.8.8
+numpy==2.0.0
+packaging==24.1
+pandas==2.2.2
+parso==0.8.4
+pathos==0.3.2
+pexpect==4.9.0
+pillow==11.0
+platformdirs==4.2.2
+potpourri3d==1.1.0
+POT==0.9.5
+pox==0.3.4
+ppft==1.7.6.8
+prompt_toolkit==3.0.47
+psutil==6.0.0
+ptyprocess==0.7.0
+pure-eval==0.2.2
+Pygments==2.18.0
+pyparsing==3.1.2
+python-dateutil==2.9.0.post0
+python-louvain==0.16
+pytz==2024.1
+pyzmq==26.0.3
+scikit-dimension==0.3.4
+scikit-image==0.24.0
+scikit-learn==1.5.0
+scipy==1.14.1
+six==1.16.0
+stack-data==0.6.3
+texttable==1.6.4
+threadpoolctl==3.1.0
+tifffile==2022.10.10
+tornado==6.4.2
+torch==2.4.0
+torchvision==0.19.0
+tqdm==4.66.4
+traitlets==5.14.3
+trimesh==3.16.1
+tzdata==2024.1
+wcwidth==0.2.13
+widgetsnbextension==4.0.3
diff --git a/src/cajal/subcellular.py b/src/cajal/subcellular.py
new file mode 100644
index 0000000..23632a5
--- /dev/null
+++ b/src/cajal/subcellular.py
@@ -0,0 +1,925 @@
+import numpy as np
+import pandas as pd
+import os
+import skimage as ski
+import matplotlib.pyplot as plt
+from tqdm import tqdm
+import pickle
+import copy
+from scipy.spatial.distance import cdist, pdist, squareform
+from multiprocessing import Pool, cpu_count
+import itertools as it
+import ot
+import warnings
+import copy
+
+from .sample_seg import cell_boundaries
+from .gw_cython import gw_cython_core
+
+
+def make_cell_image(cellaligner_cell, channels, make_square=False):
+    """Create a multi-channel image array from a CellAligner_Cell object.
+
+    This function generates a multi-channel image array where the first 
+    channel contains the cell segmentation mask and subsequent channels 
+    contain normalized intensity values for the specified channels.
+
+    :param cellaligner_cell: Either a CellAligner_Cell object or a path to a pickled CellAligner_Cell object.
+    :type cellaligner_cell: CellAligner_Cell or str
+    :param channels: List of channel names to include in the image. Each channel should 
+        correspond to a key in the CellAligner_Cell's intensities dictionary or 
+        be 'nucleus' for nuclear segmentation.
+    :type channels: list[str]
+    :param make_square: If True, pad the image to a square shape before returning.
+    :type make_square: bool
+    :return: 3D array of shape (height, width, len(channels)+1) where the first 
+        channel (index 0) contains the segmentation mask and subsequent 
+        channels contain normalized intensity values (0-1 range).
+    :rtype: numpy.ndarray
+    """
+    # Load CellAligner_Cell object if path specified
+    if isinstance(cellaligner_cell, str):
+        with open(cellaligner_cell, 'rb') as file:
+            cellaligner_cell = pickle.load(file)
+    coords = cellaligner_cell.coords
+    coords[:,0] = coords[:,0] - coords[:,0].min()
+    coords[:,1] = coords[:,1] - coords[:,1].min()
+    # make new (n_channel + 1) x cell_width x cell_len image array 
+    cell_image = np.zeros((coords[:,0].max()+1, coords[:,1].max()+1, len(channels)+1))
+    for coord_i in range(len(coords)):
+        i,j = coords[coord_i]
+        cell_image[i,j,0] = 1 # store segmentation mask
+        for channel_i in range(len(channels)): # store channel pixel intensities
+            channel = channels[channel_i]
+            if channel == 'nucleus':
+                cell_image[i,j,channel_i+1] = cellaligner_cell.nucleus[coord_i] 
+            else:
+                cell_image[i,j,channel_i+1] = cellaligner_cell.intensities[channel][coord_i] 
+    for channel_i in range(len(channels)):
+        cell_image[:,:,channel_i+1] -= cell_image[:,:,channel_i+1].min()
+        cell_image[:,:,channel_i+1] /= cell_image[:,:,channel_i+1].max()
+    if make_square:
+        max_dim = max(cell_image.shape[0], cell_image.shape[1])
+        cell_image = to_shape(cell_image, (max_dim, max_dim, cell_image.shape[2]))
+    return(cell_image)
+
+
+def to_shape(a, shape):
+    """Pad a 3D array to match a target shape.
+
+    Centers the input array within the target shape by adding symmetric 
+    padding with zeros. This is useful for standardizing array dimensions 
+    for visualization or analysis.
+
+    :param a: numpy.ndarray
+        Input 3D array to be padded.
+    :param shape: tuple of int
+        Target shape as (z, y, x) dimensions.
+    :return: numpy.ndarray
+        Padded array with the specified target shape, centered with 
+        zero-padding.
+    :rtype: numpy.ndarray
+    """
+    z_, y_, x_ = shape
+    z, y, x = a.shape
+    z_pad = (z_-z)
+    y_pad = (y_-y)
+    x_pad = (x_-x)
+    return np.pad(a,((z_pad//2, z_pad//2 + z_pad%2),
+                     (y_pad//2, y_pad//2 + y_pad%2), 
+                     (x_pad//2, x_pad//2 + x_pad%2)),
+                  mode = 'constant')
+
+
+def make_cell_image_for_plot(image, mask_alpha=0.2):
+    """Prepare a cell image for visualization by creating an RGB composite.
+
+    Converts a multi-channel cell image into an RGB format suitable for 
+    plotting. Adds a transparent cell mask overlay and reorders channels 
+    to blue-red-green color scheme.
+
+    :param image: Multi-channel cell image with shape (height, width, channels).
+        Channel 0 should contain the cell segmentation mask.
+    :type image: numpy.ndarray
+    :param mask_alpha: Transparency level for the cell mask overlay, by default 0.2.
+    :type mask_alpha: float
+    :return: RGB image array with shape (height, width, 3) suitable for 
+        visualization with channel ordering as blue, red, green.
+    :rtype: numpy.ndarray
+    """
+    im = np.zeros((image.shape[0], image.shape[1], 3))
+    mask = image[:,:,0].copy()
+    for channel_i in range(1, image.shape[2]):
+        # add transparent cell mask to channel
+        im[:,:,channel_i-1] = image[:,:,channel_i] + (mask * mask_alpha)
+        # rescale channel
+        im[:,:,channel_i-1] = im[:,:,channel_i-1] / im[:,:,channel_i-1].max()
+    # add mask to empty channels if any
+    for channel_i in range(image.shape[2], 4):
+        im[:,:,channel_i-1] = im[:,:,channel_i-1] + (mask * mask_alpha)
+    # reorder channel color ordering to blue, red, green
+    im = im[:,:,[1,2,0]]
+    return(im)
+
+
+def plot_cell_image(cellaligner_cell, channels, make_square=True, ax=None, mask_alpha=0.2):
+    """Plot a cell image with the specified channels as an RGB composite.
+
+    Creates a visualization of cell image data by combining multiple channels 
+    into an RGB representation with an optional transparent mask overlay.
+
+    :param image: 3D numpy array of shape (H, W, C) representing the multi-channel image.
+    :type image: numpy.ndarray
+    :param channels: List of channel names corresponding to the last dimension of the image.
+    :type channels: list[str]
+    :param cell_mask_image: 2D numpy array of shape (H, W) with integer labels for each cell (0 for background).
+    :type cell_mask_image: numpy.ndarray
+    :param nucleus_mask_image: 2D numpy array of shape (H, W) with integer labels for nuclei (0 for background). Default is None.
+    :type nucleus_mask_image: numpy.ndarray or None
+    :param ds_factor: Downsampling factor. If provided, downsample by this factor. Default is None.
+    :type ds_factor: int or None
+    :param ds_target_size: Target number of pixels per cell after downsampling. If provided, downsample to achieve this pixel count. Default is None.
+    :type ds_target_size: int or None
+    :param filter_border_cells: If True, exclude cells touching the image border. Default is True.
+    :type filter_border_cells: bool
+    :param n_boundary_points: Number of points to sample from the cell boundary. If None, boundary sampling is skipped. Default is 100.
+    :type n_boundary_points: int or None
+    :param save_path: Directory path to save the processed cell objects as pickle files. If None, objects are not saved. Default is None.
+    :type save_path: str or None
+    :param return_objects: If True, return the list of CellAligner_Cell objects. Default is True.
+    :type return_objects: bool
+
+    :return:
+        If return_objects is True, returns a list of CellAligner_Cell objects; otherwise returns None.
+    :rtype: list[CellAligner_Cell] or None
+    """
+    if len(channels) > 3:
+        raise ValueError("Only up to 3 channels can be plotted.")
+    image = make_cell_image(cellaligner_cell, channels, make_square=make_square)
+    image = make_cell_image_for_plot(image, mask_alpha=mask_alpha)
+    if ax:
+        return(ax.imshow(image))
+    else:
+        plt.imshow(image)
+
+
+def rescale_mask_to_pixel_count(mask, target_pixels, max_iter=20, tolerance=0.01):
+    """Rescale a binary mask to achieve a target number of non-zero pixels.
+
+    Iteratively adjusts the scale factor to resize a binary mask until the 
+    number of non-zero pixels is close to the target value. Uses skimage's 
+    resize function with nearest neighbor interpolation to maintain binary 
+    nature of the mask.
+
+    :param mask : numpy.ndarray
+        2D binary numpy array containing 0s and 1s.
+    :param target_pixels : int
+        Desired number of non-zero pixels in the rescaled mask.
+    :param max_iter : int, optional
+        Maximum number of scaling iterations, by default 20.
+    :param tolerance : float, optional
+        Acceptable relative error as a fraction, by default 0.01 (1%).
+    :return: numpy.ndarray
+        Rescaled binary mask with pixel count close to target, maintaining 
+        binary values (0s and 1s).
+    :rtype: numpy.ndarray
+    """
+    current_pixels = np.count_nonzero(mask)
+    
+    # If mask is already close enough, return it
+    if abs(current_pixels - target_pixels) / target_pixels < tolerance:
+        return mask
+    
+    # Initial scale factor estimate (area scales with square of linear dimensions)
+    scale_factor = np.sqrt(target_pixels / current_pixels)
+    
+    for _ in range(max_iter):
+        # Calculate new dimensions (maintaining aspect ratio)
+        h, w = mask.shape
+        new_h = max(1, int(h * scale_factor))
+        new_w = max(1, int(w * scale_factor))
+        
+        # Resize the mask using skimage.transform.resize
+        resized_mask = ski.transform.resize(mask.astype(float), 
+                                            (new_h, new_w),
+                                            order=0,  # nearest neighbor interpolation
+                                            preserve_range=True,
+                                            anti_aliasing=False)
+        
+        # Binarize the result (threshold at 0.5 to maintain binary nature)
+        resized_mask = (resized_mask > 0.5).astype(np.uint8)
+        
+        # Count current non-zero pixels
+        current_pixels = np.count_nonzero(resized_mask)
+        
+        # Check if we're within tolerance
+        if abs(current_pixels - target_pixels) / target_pixels < tolerance:
+            return resized_mask
+        
+        # Update scale factor based on current error
+        scale_factor *= np.sqrt(target_pixels / current_pixels)
+    
+    # Return the best result if max iterations reached
+    return resized_mask
+
+
+def compute_geodesic_dmat(mask_coords):
+    """Compute geodesic distance matrix for given coordinates within a binary mask.
+
+    Calculates the shortest path distances between all pairs of coordinates 
+    that lie within a connected binary mask region. Uses the MCP_Geometric 
+    algorithm from scikit-image to compute geodesic distances.
+
+    :param mask_coords : numpy.ndarray
+        2D array of shape (N, 2) containing (x, y) coordinates of pixels 
+        within the binary mask.
+    :return: numpy.ndarray
+        Symmetric distance matrix of shape (N, N) where element (i, j) 
+        contains the geodesic distance between coordinates i and j.
+    :rtype: numpy.ndarray
+    """
+    mask_coords[:,0] = mask_coords[:,0] - mask_coords[:,0].min()
+    mask_coords[:,1] = mask_coords[:,1] - mask_coords[:,1].min()
+    cell_mask = np.zeros((mask_coords[:,0].max()+1, mask_coords[:,1].max()+1))
+    cell_mask[mask_coords[:,0], mask_coords[:,1]] = 1
+    # Initialize MCP_Geometric with the mask (cost=1 for foreground, inf for background)
+    cost_array = np.where(cell_mask > 0, 1, np.inf)
+    mcp = ski.graph.MCP_Geometric(cost_array)
+    # Compute geodesic distances from each pixel to all others
+    N = len(mask_coords)
+    geodesic_dmat = np.zeros((N, N))
+    for i, start in enumerate(mask_coords):
+        costs, traceback = mcp.find_costs([tuple(start)])
+        geodesic_dmat[i] = costs[mask_coords[:,0], mask_coords[:,1]]
+    return(geodesic_dmat)
+
+
+
+class CellAligner_Cell:
+    """A cell representation for CellAligner analysis.
+
+    This class encapsulates cell morphology and intensity information needed 
+    for Gromov-Wasserstein mapping and distance computations between cells.
+
+    :param coords: Array of shape (N, 2) containing (x, y) coordinates for each pixel in the cell.
+    :type coords: numpy.ndarray
+    :param boundary_coords: Array of shape (M, 2) containing (x, y) coordinates sampled from the cell boundary. Default is None.
+    :type boundary_coords: numpy.ndarray or None
+    :param intensities: Dictionary mapping channel names (str) to intensity arrays (numpy.ndarray) 
+        of length N, where N is the number of cell pixels. Default is None.
+    :type intensities: dict or None
+    :param nucleus: Array of length N indicating nuclear identity (0 or 1) for each cell pixel. Default is None.
+    :type nucleus: numpy.ndarray or None
+    :param metric: Distance metric for computing coordinate distance matrices. Options are 'euclidean', 'geodesic', or None. Default is 'euclidean'.
+    :type metric: str or None
+    """
+    def __init__(self, coords, boundary_coords=None, intensities=None, nucleus=None, metric='euclidean'):
+        self.coords = coords
+        self.boundary_coords = boundary_coords
+        if metric is None:
+            self.coord_dmat = None
+            self.boundary_coord_dmat = None
+        elif metric == 'geodesic':
+            self.coord_dmat = compute_geodesic_dmat(self.coords)
+            self.boundary_coord_dmat = squareform(pdist(boundary_coords, metric='euclidean')) if boundary_coords is not None else None
+            # if boundary_coords is not None:
+            #     warnings.warn("Geodesic distance matrix cannot be computed for cell boundary coordinates, ignoring.")
+        else:
+            self.coord_dmat = squareform(pdist(coords, metric=metric))
+            self.boundary_coord_dmat = squareform(pdist(boundary_coords, metric=metric)) if boundary_coords is not None else None
+        self.intensities = intensities if intensities is not None else {}
+        self.nucleus = nucleus
+        self.size = len(coords)
+
+    def copy(self):
+        """Return a deep copy of the CellAligner_Cell instance.
+
+        Returns
+        -------
+        CellAligner_Cell
+            A new CellAligner_Cell instance with copied data from the current object.
+            All arrays and dictionaries are deep-copied to avoid shared references.
+        """
+        obj_copy = CellAligner_Cell(
+            coords=self.coords.copy(),
+            boundary_coords=self.boundary_coords.copy() if self.boundary_coords is not None else None,
+            intensities=copy.deepcopy(self.intensities),
+            nucleus=self.nucleus.copy() if self.nucleus is not None else None
+        )
+        obj_copy.coord_dmat = self.coord_dmat.copy() if self.coord_dmat is not None else None
+        obj_copy.boundary_coord_dmat = self.boundary_coord_dmat.copy() if self.boundary_coord_dmat is not None else None
+        obj_copy.size = self.size
+        return obj_copy
+
+
+# Backward compatibility for pickle files created before the class rename.
+GW_OT_Cell = CellAligner_Cell
+
+
+def process_image(image, channels, cell_mask_image, nucleus_mask_image=None, ds_factor=None, ds_target_size=None, 
+    filter_border_cells=True, n_boundary_points=100, save_path=None, return_objects=True):
+    """Create CellAligner_Cell objects from segmented microscopy images.
+
+    Processes a multi-channel microscopy image with cell and nuclear segmentation 
+    masks to create a list of CellAligner_Cell objects suitable for CellAligner analysis.
+
+    :param image: numpy.ndarray
+        3D numpy array of shape (H, W, C) representing the multi-channel image.
+    :param channels: list of str
+        List of channel names corresponding to the last dimension of the image.
+    :param cell_mask_image: numpy.ndarray
+        2D numpy array of shape (H, W) with integer labels for each cell 
+        (0 for background).
+    :param nucleus_mask_image: numpy.ndarray, optional
+        2D numpy array of shape (H, W) with integer labels for nuclei 
+        (0 for background). Default is None.
+    :param ds_factor: int, optional
+        Downsampling factor. If provided, downsample by this factor. 
+        Default is None.
+    :param ds_target_size: int, optional
+        Target number of pixels per cell after downsampling. If provided, 
+        downsample to achieve this pixel count. Default is None.
+    :param filter_border_cells: bool, optional
+        If True, exclude cells touching the image border. Default is True.
+    :param n_boundary_points: int, optional
+        Number of points to sample from the cell boundary. If None, boundary 
+        sampling is skipped. Default is 100.
+    :param save_path: str, optional
+        Directory path to save the processed cell objects as pickle files. 
+        If None, objects are not saved. Default is None.
+    :param return_objects: bool, optional
+        If True, return the list of CellAligner_Cell objects. Default is True.
+    :return: If return_objects is True, returns a list of CellAligner_Cell objects; otherwise returns None.
+    :rtype: list[CellAligner_Cell] or None
+    """
+    cell_inds = np.unique(cell_mask_image)
+    cell_inds = cell_inds[cell_inds > 0]  # Remove background (0)
+
+    cellaligner_cells = []
+    for cell_ind in cell_inds:
+        cell_mask = (cell_mask_image == cell_ind).astype(np.uint8)
+        nuc_mask = (nucleus_mask_image == cell_ind).astype(np.uint8)  if nucleus_mask_image is not None else None
+        # Filter out cells touching the border
+        if filter_border_cells:
+            if np.any(cell_mask[0, :]) or np.any(cell_mask[-1, :]) or np.any(cell_mask[:, 0]) or np.any(cell_mask[:, -1]):
+                continue
+        # Downsample image and masks if necessary
+        if ds_factor is not None: # downsample by a factor
+            image_ds = ski.transform.resize(image, (image.shape[0] // ds_factor, image.shape[1] // ds_factor, image.shape[2]), order=1, preserve_range=True)
+            cell_mask_ds = ski.transform.resize(cell_mask, (cell_mask.shape[0] // ds_factor, cell_mask.shape[1] // ds_factor), order=0, anti_aliasing=False, preserve_range=True).astype(np.uint8)
+            nuc_mask_ds = ski.transform.resize(nuc_mask, (nuc_mask.shape[0] // ds_factor, nuc_mask.shape[1] // ds_factor), order=0, anti_aliasing=False, preserve_range=True).astype(np.uint8) if nuc_mask is not None else None
+        elif ds_target_size is not None: # downsample to a target size
+            cell_mask_ds = rescale_mask_to_pixel_count(cell_mask, target_pixels=ds_target_size)
+            nuc_mask_ds = ski.transform.resize(nuc_mask, (cell_mask_ds.shape[0], cell_mask_ds.shape[1]), order=0, anti_aliasing=False, preserve_range=True).astype(np.uint8) if nuc_mask is not None else None
+            image_ds = ski.transform.resize(image, (cell_mask_ds.shape[0], cell_mask_ds.shape[1], image.shape[2]), order=1, preserve_range=True)
+        else:
+            image_ds = image
+            cell_mask_ds = cell_mask
+            nuc_mask_ds = nuc_mask
+        # Create a cell object
+        # Sample points from cell boundary (if specified)
+        cell_boundary_pts = None
+        if n_boundary_points is not None:
+            _, cell_boundary_pts = cell_boundaries(np.pad(cell_mask, 1), n_sample=n_boundary_points)[0] # pad to avoid border issues
+            cell_boundary_pts = cell_boundary_pts - 1 # remove padding
+        cellaligner_cell = CellAligner_Cell(coords=np.array(np.where(cell_mask_ds)).T, boundary_coords=cell_boundary_pts)
+        if nucleus_mask_image is not None:
+            cellaligner_cell.nucleus = nuc_mask_ds[np.where(cell_mask_ds)]
+            if cellaligner_cell.nucleus.sum() == 0: # filter cells without segmented nuclei
+                continue
+        for channel in channels:
+            cellaligner_cell.intensities[channel] = image_ds[np.where(cell_mask_ds)][:,channels.index(channel)]
+        # Normalize the channels (to sum to 1)
+        for channel in channels:
+            cellaligner_cell.intensities[channel] = cellaligner_cell.intensities[channel] / np.sum(cellaligner_cell.intensities[channel])
+        if return_objects:
+            cellaligner_cells.append(cellaligner_cell)
+        if save_path is not None:
+            if not os.path.isdir(save_path): # Create directory if it doesn't exist
+                os.makedirs(save_path)
+            with open(os.path.join(save_path, 'cell_'+str(cell_ind).zfill(4)+'.pickle'), 'wb') as file:
+                pickle.dump(cellaligner_cell, file)
+    if return_objects:
+        return cellaligner_cells
+    else:
+        return None
+
+
+def _init_gw_pool(cell_objects: list, points: str):
+    """Initialize global variables for parallel Gromov-Wasserstein computation.
+
+    This function sets up shared state for multiprocessing workers computing 
+    pairwise Gromov-Wasserstein distances.
+
+    :param cell_objects: list
+        List of CellAligner_Cell objects or paths to pickled CellAligner_Cell objects.
+    :param points: str
+        Type of points to use for distance computation. Either 'boundary' 
+        for boundary coordinates or 'full' for all cell coordinates.
+    """
+    # list of CellAligner_Cell objects or list of paths to CellAligner_Cell objects
+    global _CELL_OBJECTS
+    _CELL_OBJECTS = cell_objects
+    # set of points to use for distance computation ('boundary' or 'full')
+    global _POINTS
+    _POINTS = points
+
+
+def _gw_index(p: tuple[int, int]):
+    """Worker that computes the GW coupling and distance for a pair of cells.
+
+    :param p: tuple (i, j) of cell indices
+    :type p: tuple[int, int]
+    :return: (i, j, coupling_mat, gw_dist)
+    :rtype: tuple[int, int, numpy.ndarray, float]
+    """
+    i, j = p
+    # load CellAligner_Cell objects if path specified
+    if isinstance(_CELL_OBJECTS[i], str):
+        _CELL_OBJECTS[i] = pickle.load(open(_CELL_OBJECTS[i], 'rb'))
+    if isinstance(_CELL_OBJECTS[j], str):
+        _CELL_OBJECTS[j] = pickle.load(open(_CELL_OBJECTS[j], 'rb'))
+    if _POINTS == 'boundary':
+        A = _CELL_OBJECTS[i].boundary_coord_dmat
+        B = _CELL_OBJECTS[j].boundary_coord_dmat
+    elif _POINTS == 'full':
+        A = _CELL_OBJECTS[i].coord_dmat
+        B = _CELL_OBJECTS[j].coord_dmat
+    else:
+        raise ValueError("Invalid value for _POINTS. Must be 'boundary' or 'full'.")
+    n_A = A.shape[0]
+    n_B = B.shape[0]
+    a = np.repeat(1/n_A, n_A)
+    b = np.repeat(1/n_B, n_B)
+    a_dot_dist = A@a
+    b_dot_dist = B@b
+    a_cell_constant = ((A * A)@a)@a
+    b_cell_constant = ((B * B)@b)@b
+    
+    coupling_mat, gw_dist = gw_cython_core(
+        A,
+        a,
+        a_dot_dist,
+        a_cell_constant,
+        B,
+        b,
+        b_dot_dist,
+        b_cell_constant,
+    )
+
+    return (i, j, coupling_mat, gw_dist) 
+
+def gw_pairwise_parallel(cell_objects, points='boundary', num_processes=4, chunksize=20, n_approx_anchors=None, initial_anchor=0):
+    """Compute pairwise Gromov-Wasserstein distances (optionally in parallel).
+
+    Calculates the Gromov-Wasserstein distance matrix for a colloection of cells 
+    using either exact computation or traiangle inequality approximation with anchors.
+
+    :param cell_objects: list of CellAligner_Cell objects or file paths
+    :type cell_objects: list
+    :param points: 'boundary' or 'full' (default: 'boundary')
+    :type points: str
+    :param num_processes: number of parallel processes to use
+    :type num_processes: int
+    :param chunksize: chunk size for parallel imap
+    :type chunksize: int
+    :param n_approx_anchors: number of anchors for approximation (None = exact)
+    :type n_approx_anchors: int or None
+    :param initial_anchor: initial anchor index for approximation
+    :type initial_anchor: int
+    :return: symmetric GW distance matrix of shape (N, N)
+    :rtype: numpy.ndarray
+    """
+    N = len(cell_objects)
+    # Compute all pairwise GW distances
+    if n_approx_anchors is None:
+        index_pairs = it.combinations(iter(range(N)), 2)
+        total_num_pairs = int((N * (N - 1)) / 2) 
+        with Pool(
+            initializer=_init_gw_pool, initargs=(cell_objects,points,), processes=num_processes
+        ) as pool:
+            res = pool.imap_unordered(_gw_index, index_pairs, chunksize=chunksize)
+            gw_dmat = np.zeros((N,N))
+            for i, j, coupling_mat, gw_dist in tqdm(res, total=total_num_pairs, position=0, leave=True):
+                gw_dmat[i,j] = gw_dist
+                gw_dmat[j,i] = gw_dist
+    # Approximate GW distances using triangle inequality
+    else:
+        anchor_ind = initial_anchor
+        all_anchor_gw_dists = np.zeros((n_approx_anchors,N))
+        for i_anchor in range(n_approx_anchors):
+            anchor_gw_dists = np.zeros(N)
+            index_pairs = it.product(iter(range(N)), [anchor_ind]) 
+            total_num_pairs = N 
+            with Pool(
+                initializer=_init_gw_pool, initargs=(cell_objects,points,), processes=num_processes
+            ) as pool:
+                res = pool.imap_unordered(_gw_index, index_pairs, chunksize=chunksize)
+                for i, j, coupling_mat, gw_dist in tqdm(res, total=total_num_pairs):
+                    anchor_gw_dists[i] = gw_dist
+                all_anchor_gw_dists[i_anchor,:] = anchor_gw_dists
+                anchor_ind = np.argmax(all_anchor_gw_dists[:i_anchor+1,:].min(axis=0)) # next anchor
+        gw_dmat = np.zeros((N,N))
+        for i,j in it.combinations(range(N), 2):
+            d = min(all_anchor_gw_dists[:,i] + all_anchor_gw_dists[:,j]) 
+            gw_dmat[i,j] = d
+            gw_dmat[j,i] = d
+    return gw_dmat
+
+
+def find_centroid(distance_matrix):
+    """Return the index of the centroid point (minimizes sum of distances).
+
+    :param distance_matrix: square symmetric pairwise distance matrix
+    :type distance_matrix: numpy.ndarray
+    :return: index of centroid point
+    :rtype: int
+    """
+    sum_distances = np.sum(distance_matrix, axis=1)
+    centroid_index = np.argmin(sum_distances)
+    return centroid_index
+
+
+def _init_fgw_map_pool(cell_objects: list, channels: list, compartment_specific: bool, method, 
+                       fused_channel: str, fused_cost: float, fused_param: float, unbalanced_param: float, 
+                       nuclear_fraction: float = 0.2):
+    """Initialize global state for parallel fused GW mapping workers.
+
+    :param cell_objects: list of CellAligner_Cell objects or paths
+    :type cell_objects: list
+    :param channels: channel names to compute OT for
+    :type channels: list[str]
+    :param compartment_specific: whether to perform compartment-specific mapping
+    :type compartment_specific: bool
+    :param method: mapping method ('fused' or 'fused_unbalanced')
+    :type method: str
+    :param fused_channel: channel name used for fused mapping
+    :type fused_channel: str
+    :param fused_cost: fused channel cost multiplier
+    :type fused_cost: float
+    :param fused_param: alpha parameter for fused GW
+    :type fused_param: float
+    :param unbalanced_param: regularization for unbalanced fused GW
+    :type unbalanced_param: float
+    :param nuclear_fraction: fraction considered nuclear during mapping
+    :type nuclear_fraction: float
+    """
+    global _CELL_OBJECTS #
+    _CELL_OBJECTS = cell_objects # list of CellAligner_Cell objects or list of paths to CellAligner_Cell objects
+    global _CHANNELS
+    _CHANNELS = channels # which channels to compute protein OT for
+    global _COMPARTMENT_SPECIFIC
+    _COMPARTMENT_SPECIFIC = compartment_specific # whether to do compartment-specific mapping (nuclear/cytoplasm)
+    global _METHOD
+    _METHOD = method # method for morphology mapping: 'fused' or 'fused_unbalanced'
+    global _FUSED_CHANNEL
+    _FUSED_CHANNEL = fused_channel # channel to use for fused GW morphology mapping
+    global _FUSED_COST
+    _FUSED_COST = fused_cost # cost for fused GW morphology mapping
+    global _FUSED_PARAM
+    _FUSED_PARAM = fused_param # parameter for fused/unbalanced GW morphology mapping
+    global _UNBALANCED_PARAM
+    _UNBALANCED_PARAM = unbalanced_param # parameter for fused unbalanced GW mapping
+    global _NUC_FRAC
+    _NUC_FRAC = nuclear_fraction # fraction of cell considered as nucleus for compartment-specific
+
+
+def _fgw_map_index(p: tuple[int, int]):
+    """Worker that computes fused GW mapping and maps protein distributions.
+
+    :param p: tuple (i, j) of source and target cell indices
+    :type p: tuple[int, int]
+    :return: (i, j, gw_dist, mapped_distbs)
+    :rtype: tuple[int, int, float, numpy.ndarray]
+    """
+    i, j = p
+    # load CellAligner_Cell objects if path specified
+    if isinstance(_CELL_OBJECTS[i], str):
+        _CELL_OBJECTS[i] = pickle.load(open(_CELL_OBJECTS[i], 'rb'))
+    if isinstance(_CELL_OBJECTS[j], str):
+        _CELL_OBJECTS[j] = pickle.load(open(_CELL_OBJECTS[j], 'rb'))
+    A = _CELL_OBJECTS[i].coord_dmat
+    B = _CELL_OBJECTS[j].coord_dmat
+    n_A = A.shape[0]
+    n_B = B.shape[0]
+
+    # dictionary to store fGW morphology and OT protein distances
+    mapped_distbs = np.zeros((len(_CHANNELS),n_B))
+    
+    if _COMPARTMENT_SPECIFIC:
+        # rescaling probabilities to allow fused GW to map nucleus to nucleus, cytoplasm to cytoplasm
+        n_pixel_nuc_i = _CELL_OBJECTS[i].nucleus.sum()
+        n_pixel_cyto_i = n_A - n_pixel_nuc_i
+        n_pixel_nuc_j = _CELL_OBJECTS[j].nucleus.sum()
+        n_pixel_cyto_j = n_B - n_pixel_nuc_j
+
+        # rescale uniform distribution in cell i to have same nuclear/cytoplasm ration as cell j
+        a = np.zeros(n_A)
+        a[_CELL_OBJECTS[i].nucleus==1] = _NUC_FRAC / n_pixel_nuc_i
+        a[_CELL_OBJECTS[i].nucleus==0] = (1 - _NUC_FRAC) / n_pixel_cyto_i
+        b = np.zeros(n_B)
+        b[_CELL_OBJECTS[j].nucleus==1] = _NUC_FRAC / n_pixel_nuc_j
+        b[_CELL_OBJECTS[j].nucleus==0] = (1 - _NUC_FRAC) / n_pixel_cyto_j
+    else:
+        a = np.repeat(1/n_A, n_A)
+        b = np.repeat(1/n_B, n_B)
+
+    # fGW morphology mapping
+    alpha = _FUSED_PARAM
+    cost = _FUSED_COST
+    rho = _UNBALANCED_PARAM
+    if i == j:
+        gw_dist = 0
+        coupling_mat = np.eye(n_A)
+    else:
+        if _FUSED_CHANNEL == 'nucleus':
+            cost_matrix = cdist(_CELL_OBJECTS[i].nucleus[:,np.newaxis], _CELL_OBJECTS[j].nucleus[:,np.newaxis],) * cost
+        else:
+            cost_matrix = cdist(_CELL_OBJECTS[i].intensities[_FUSED_CHANNEL][:,np.newaxis], _CELL_OBJECTS[j].intensities[_FUSED_CHANNEL][:,np.newaxis],) * cost
+        if _METHOD == 'fused':
+            coupling_mat, log = ot.gromov.fused_gromov_wasserstein(M=cost_matrix, C1=A, C2=B, p=a, q=b, alpha=alpha, log=True)
+            gw_dist = log['fgw_dist']
+        elif _METHOD == 'fused_unbalanced':
+            coupling_mat, coupling_mat_2, log = ot.gromov.fused_unbalanced_gromov_wasserstein(M=cost_matrix, Cx=A, Cy=B, wx=a, wy=b, alpha=alpha, 
+                                                                                            reg_marginals=rho, max_iter=20, log=True)
+            gw_dist = log['fugw_cost']
+        else:
+            raise ValueError("Invalid value for _METHOD. Must be 'fused' or 'fused_unbalanced'.")
+
+    if _COMPARTMENT_SPECIFIC:
+        # find nuclear pixels after mapping
+        mapped_nucleus = _CELL_OBJECTS[i].nucleus.dot(coupling_mat * n_A)
+        mapped_nucleus_thresh = ( np.quantile(mapped_nucleus, 0.9) + np.quantile(mapped_nucleus, 0.1) ) / 2
+        mapped_is_nucleus = mapped_nucleus > mapped_nucleus_thresh
+        n_pixel_nuc_mapped = mapped_is_nucleus.sum()
+        if _METHOD == 'fused_unbalanced':
+            mapped_cyto = np.repeat(1, n_A).dot(coupling_mat * n_A)
+            mapped_cyto[mapped_is_nucleus] = 0
+            mapped_cyto_thresh = ( np.quantile(mapped_cyto, 0.7) + np.quantile(mapped_cyto, 0.1) ) / 2
+            mapped_is_cyto = mapped_cyto > mapped_cyto_thresh
+            n_pixel_cyto_mapped = mapped_is_cyto.sum()
+            mapping_cyto = np.repeat(1, n_B).dot(coupling_mat.T * n_B)
+            mapping_cyto[_CELL_OBJECTS[i].nucleus==1] = 0
+            mapping_cyto_thresh = ( np.quantile(mapping_cyto, 0.7) + np.quantile(mapping_cyto, 0.1) ) / 2
+            mapping_is_cyto = mapping_cyto > mapping_cyto_thresh
+            n_pixel_cyto_mapping = mapped_is_cyto.sum()
+        else:
+            n_pixel_cyto_mapped = n_B - n_pixel_nuc_mapped
+
+    # mapping cell A's distribution on cell B
+    for k in range(len(_CHANNELS)):
+        channel = _CHANNELS[k]
+
+        if channel == 'nucleus':
+            a = _CELL_OBJECTS[i].nucleus.dot(coupling_mat * n_A)
+        else:
+            a = _CELL_OBJECTS[i].intensities[channel].dot(coupling_mat * n_A)
+
+        if _COMPARTMENT_SPECIFIC:
+            # rescale based on protein distribution in nucleus/cytoplasm
+            if _METHOD == 'fused_unbalanced':
+                if a[mapped_is_nucleus].sum() != 0:
+                    a[mapped_is_nucleus] = a[mapped_is_nucleus] / a[mapped_is_nucleus].sum() * a[_CELL_OBJECTS[j].nucleus==1].sum()
+                if a[~mapped_is_nucleus].sum() != 0:
+                    a[~mapped_is_nucleus] = a[~mapped_is_nucleus] / n_pixel_cyto_mapped * n_pixel_cyto_mapping
+            else:
+                if a[mapped_is_nucleus].sum() != 0:
+                    a[mapped_is_nucleus] = a[mapped_is_nucleus] / a[mapped_is_nucleus].sum() * _CELL_OBJECTS[i].intensities[channel][_CELL_OBJECTS[i].nucleus==1].sum()
+                if a[~mapped_is_nucleus].sum() != 0:
+                    a[~mapped_is_nucleus] = a[~mapped_is_nucleus] / a[~mapped_is_nucleus].sum() * _CELL_OBJECTS[i].intensities[channel][_CELL_OBJECTS[i].nucleus==0].sum()
+            # then rescale based on number nuclear/cytoplasm pixels
+            a[mapped_is_nucleus] *= n_pixel_nuc_j/n_B*n_A/n_pixel_nuc_i
+            a[~mapped_is_nucleus] *= n_pixel_cyto_j/n_B*n_A/n_pixel_cyto_i 
+
+        # final normalization
+        a = a / a.sum()
+        
+        mapped_distbs[k,:] = a
+
+    return (i, j, gw_dist, mapped_distbs) 
+
+
+def map_cell_to_cell(cell_object_from, cell_object_to, channels, compartment_specific=True, method='fused', 
+                fused_channel='protein', fused_cost=10, fused_param=0.1, unbalanced_param=70, nuclear_fraction=0.2):
+    """Map protein distributions from one cell onto another via Fused Gromov-Wasserstein.
+
+    :param cell_object_from: source ``CellAligner_Cell``
+    :type cell_object_from: CellAligner_Cell
+    :param cell_object_to: target ``CellAligner_Cell``
+    :type cell_object_to: CellAligner_Cell
+    :param channels: list of channel names to map
+    :type channels: list[str]
+    :param compartment_specific: whether to use compartment-specific mapping
+    :type compartment_specific: bool
+    :param method: 'fused' or 'fused_unbalanced'
+    :type method: str
+    :param fused_channel: channel name to use for fused morphology cost
+    :type fused_channel: str
+    :param fused_cost: fused channel cost multiplier
+    :type fused_cost: float
+    :param fused_param: alpha parameter for fused GW
+    :type fused_param: float
+    :param unbalanced_param: regularization for unbalanced GW
+    :type unbalanced_param: float
+    :param nuclear_fraction: nuclear fraction for compartment scaling
+    :type nuclear_fraction: float
+    :return: mapped distributions with shape (len(channels), n_target_pixels)
+    :rtype: numpy.ndarray
+    """
+    mapped_distbs = map_to_anchor_cell(
+        cell_objects=[cell_object_from, cell_object_to],
+        channels=channels,
+        target_cell_ind=1,
+        compartment_specific=compartment_specific,
+        method=method,
+        fused_channel=fused_channel,
+        fused_cost=fused_cost,
+        fused_param=fused_param,
+        unbalanced_param=unbalanced_param,
+        nuclear_fraction=nuclear_fraction,
+        # parallel=False
+    )
+    return mapped_distbs[:,0,:]
+
+
+def map_to_anchor_cell(cell_objects, channels, target_cell_ind, compartment_specific=True, method='fused', 
+                         fused_channel='protein', fused_cost=10, fused_param=0.1, unbalanced_param=70, nuclear_fraction=0.2, 
+                        #  parallel=True, num_processes=4, chunksize=20
+                         ):
+    """Map protein distributions from all cells to a single target cell.
+
+    :param cell_objects: list of CellAligner_Cell objects or file paths
+    :type cell_objects: list
+    :param channels: channel names to map
+    :type channels: list[str]
+    :param target_cell_ind: index of the target cell
+    :type target_cell_ind: int
+    :param compartment_specific: whether to use compartment-specific mapping
+    :type compartment_specific: bool
+    :param method: mapping method ('fused' or 'fused_unbalanced')
+    :type method: str
+    :param fused_channel: channel used for fused cost
+    :type fused_channel: str
+    :param fused_cost: cost multiplier for fused channel
+    :type fused_cost: float
+    :param fused_param: alpha parameter for fused GW
+    :type fused_param: float
+    :param unbalanced_param: regularization for unbalanced GW
+    :type unbalanced_param: float
+    :param nuclear_fraction: probablistic fraction considered nuclear for compartment-specific mapping (should roughly correspond to fraction of nuclear pixels)
+    :type nuclear_fraction: float
+    :param parallel: whether to run in parallel
+    """
+    # :type parallel: bool
+    # :param num_processes: number of processes for parallel execution
+    # :type num_processes: int
+    # :param chunksize: chunk size for parallel map
+    # :type chunksize: int
+    # :return: array of mapped distributions with shape (len(channels), N, n_target_pixels)
+    # :rtype: numpy.ndarray
+    print('Mapping cells to target cell:')
+    N = len(cell_objects)
+    index_pairs = [(i, target_cell_ind) for i in range(N)]
+    total_num_pairs = N - 1 
+    # if parallel:
+    #     # Parallelized
+    #     with Pool(
+    #         initializer=_init_fgw_map_pool, initargs=(cell_objects, channels, compartment_specific, method, 
+    #                                                 fused_channel, fused_cost, fused_param, unbalanced_param, nuclear_fraction), 
+    #         processes=num_processes
+    #     ) as pool:
+    #         res = pool.imap_unordered(_fgw_map_index, index_pairs, chunksize=chunksize)
+    #         target_cell_object = cell_objects[target_cell_ind]
+    #         # load target CellAligner_Cell object if path specified
+    #         if isinstance(target_cell_object, str):
+    #             target_cell_object = pickle.load(open(target_cell_object, 'rb'))
+    #         mapped_distbs = np.zeros((len(channels),N,target_cell_object.coord_dmat.shape[0]))
+    #         for i, j, gw_dist, mapped_distb in tqdm(res, total=total_num_pairs, position=0, leave=True):
+    #             mapped_distbs[:,i,:] = mapped_distb
+    # else:
+    # Non-parallelized
+    _init_fgw_map_pool(cell_objects, channels, compartment_specific, method, fused_channel, fused_cost, 
+                        fused_param, unbalanced_param, nuclear_fraction)
+    mapped_distbs = np.zeros((len(channels),N,cell_objects[target_cell_ind].coord_dmat.shape[0]))
+    for p in tqdm(index_pairs):
+        i, j, gw_dist, mapped_distb = _fgw_map_index(p)
+        mapped_distbs[:,i,:] = mapped_distb
+    return mapped_distbs
+
+
+def _init_gw_mapped_ot_pool(cell_object: CellAligner_Cell, mapped_cell_dists: np.ndarray):
+    """Initialize global state for OT computation on mapped distributions.
+
+    :param cell_object: target ``CellAligner_Cell`` containing coordinate distance matrix
+    :type cell_object: CellAligner_Cell
+    :param mapped_cell_dists: mapped distributions array (n_channels, N, n_target_pixels)
+    :type mapped_cell_dists: numpy.ndarray
+    """
+    global _CELL_OBJECT
+    _CELL_OBJECT = cell_object # CellAligner_Cell object
+    global _MAPPED_CELL_DISTS
+    _MAPPED_CELL_DISTS = mapped_cell_dists # numpy array storing mapped cell protein distributions
+
+
+def _gw_mapped_ot_index(p: tuple[int, int]):
+    """Worker that computes OT distances between two mapped distributions.
+
+    :param p: tuple (i, j) of indices
+    :type p: tuple[int, int]
+    :return: (i, j, ot_dists) where ot_dists is an array per channel
+    :rtype: tuple[int, int, numpy.ndarray]
+    """
+    global _CELL_OBJECT
+    i, j = p
+    if isinstance(_CELL_OBJECT, str):
+        _CELL_OBJECT = pickle.load(open(_CELL_OBJECT, 'rb'))
+    n_channels = _MAPPED_CELL_DISTS.shape[0]
+    ot_dists = np.zeros(n_channels)
+
+    # protein OT
+    for channel_i in range(n_channels):
+        a = _MAPPED_CELL_DISTS[channel_i,i,:]
+        b = _MAPPED_CELL_DISTS[channel_i,j,:]
+        coupling_mat_prot, emd_dict = ot.emd(a, b, _CELL_OBJECT.coord_dmat, log=True)
+        gw_dist_prot = emd_dict['cost']
+        ot_dists[channel_i] = gw_dist_prot
+
+    return (i, j, ot_dists)
+
+
+def gw_mapped_ot_pairwise_parallel(cell_object, mapped_cell_dists, num_processes=4, chunksize=20, index_pairs=None, n_approx_anchors=None, initial_anchor=0):
+    """Compute pairwise OT distances between mapped protein distributions.
+
+    Calculates pairwise optimal transport distances for protein distribution after 
+    mapping to a common cell morphology.
+
+    :param cell_object: target ``CellAligner_Cell`` or path to pickled object
+    :type cell_object: CellAligner_Cell or str
+    :param mapped_cell_dists: array of mapped distributions (len(channels), N, n_target_pixels)
+    :type mapped_cell_dists: numpy.ndarray
+    :param num_processes: number of processes for parallel execution
+    :type num_processes: int
+    :param chunksize: chunk size for parallel imap
+    :type chunksize: int
+    :param index_pairs: optional iterable of (i, j) index pairs to compute
+    :type index_pairs: iterable[tuple[int, int]] or None
+    :param n_approx_anchors: number of anchors for triangle inequality approximation
+    :type n_approx_anchors: int or None
+    :param initial_anchor: initial anchor index
+    :type initial_anchor: int
+    :return: if ``index_pairs`` is None returns array (len(channels), N, N), else (len(channels), len(index_pairs))
+    :rtype: numpy.ndarray
+    """
+    print('Computing pairwise OT distances:')
+    N = mapped_cell_dists.shape[1]
+    # Compute all pairwise OT distances or specific specific pairs
+    if n_approx_anchors is None:
+        if index_pairs is None:
+            index_pairs = list(it.combinations(range(N), 2))
+            total_num_pairs = int((N * (N - 1)) / 2)
+            output_full_matrix = True
+        else:
+            index_pairs = list(index_pairs)
+            total_num_pairs = len(index_pairs)
+            output_full_matrix = False
+
+        with Pool(
+            initializer=_init_gw_mapped_ot_pool, initargs=(cell_object, mapped_cell_dists,), processes=num_processes
+        ) as pool:
+            res = pool.imap(_gw_mapped_ot_index, index_pairs, chunksize=chunksize)
+            if output_full_matrix:
+                ot_dmats = np.zeros((mapped_cell_dists.shape[0], N, N))
+                for i, j, ot_dists in tqdm(res, total=total_num_pairs, position=0, leave=True):
+                    ot_dmats[:, i, j] = ot_dists
+                    ot_dmats[:, j, i] = ot_dists
+                return ot_dmats
+            else:
+                ot_dists_arr = np.zeros((mapped_cell_dists.shape[0], total_num_pairs))
+                for idx, (i, j, ot_dists) in enumerate(tqdm(res, total=total_num_pairs, position=0, leave=True)):
+                    ot_dists_arr[:, idx] = ot_dists
+                return ot_dists_arr
+    # Approximate OT distances using triangle inequality
+    else:
+        if index_pairs is not None:
+            raise ValueError("index_pairs cannot be specified when using triangle inequality approximation.")
+        anchor_ind = initial_anchor
+        all_anchor_ot_dists = np.zeros((mapped_cell_dists.shape[0], n_approx_anchors, N))
+        for i_anchor in range(n_approx_anchors):
+            anchor_ot_dists = np.zeros((mapped_cell_dists.shape[0], N))
+            index_pairs = it.product(iter(range(N)), [anchor_ind]) 
+            total_num_pairs = N 
+            with Pool(
+                initializer=_init_gw_mapped_ot_pool, initargs=(cell_object, mapped_cell_dists,), processes=num_processes
+            ) as pool:
+                res = pool.imap(_gw_mapped_ot_index, index_pairs, chunksize=chunksize)
+                for i, j, ot_dists in tqdm(res, total=total_num_pairs, position=0, leave=True):
+                    anchor_ot_dists[:, i] = ot_dists
+                all_anchor_ot_dists[:,i_anchor,:] = anchor_ot_dists
+                anchor_ind = np.argmax(all_anchor_ot_dists.mean(axis=0)[:i_anchor+1,:].min(axis=0)) # next anchor
+        ot_dmats = np.zeros((mapped_cell_dists.shape[0], N, N))
+        for channel_i in range(mapped_cell_dists.shape[0]):
+            for i,j in it.combinations(range(N), 2):
+                d = min(all_anchor_ot_dists[channel_i,i] + all_anchor_ot_dists[channel_i,j]) 
+                ot_dmats[channel_i, i, j] = d
+                ot_dmats[channel_i, j, i] = d
+        return ot_dmats
\ No newline at end of file
diff --git a/src/cajal/subcellular_dl.py b/src/cajal/subcellular_dl.py
new file mode 100644
index 0000000..ffb35ed
--- /dev/null
+++ b/src/cajal/subcellular_dl.py
@@ -0,0 +1,1787 @@
+import os
+import random
+import itertools as it
+import numpy as np
+import skimage as ski
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+import torch.optim as optim
+import torchvision.models as models
+import torchvision.transforms.functional as TF
+import torchvision.transforms.v2 as transforms
+from torch.utils.data import Dataset, DataLoader
+from tqdm import tqdm
+import pickle
+import json
+from .subcellular import make_cell_image, to_shape
+
+
+CELL_IMAGE_PROCESSING_FILENAME = 'cell_image_processing.json'
+
+
+def _write_cell_image_processing_info(save_path, max_size, rescale, shape, center):
+    processing_info = {
+        'version': 1,
+        'max_size': None if max_size is None else int(max_size),
+        'rescale': bool(rescale),
+        'shape': [int(shape[0]), int(shape[1])],
+        'center': center,
+    }
+    with open(os.path.join(save_path, CELL_IMAGE_PROCESSING_FILENAME), 'w', encoding='utf-8') as file:
+        json.dump(processing_info, file, indent=2)
+
+
+def _load_cell_image_processing_info(processing_info_path):
+    if processing_info_path is None:
+        return None
+
+    if os.path.isdir(processing_info_path):
+        processing_info_path = os.path.join(processing_info_path, CELL_IMAGE_PROCESSING_FILENAME)
+
+    if not os.path.exists(processing_info_path):
+        return None
+
+    with open(processing_info_path, 'r', encoding='utf-8') as file:
+        processing_info = json.load(file)
+
+    if 'shape' in processing_info and processing_info['shape'] is not None:
+        processing_info['shape'] = tuple(processing_info['shape'])
+
+    return processing_info
+
+
+def _is_cellaligner_cell_like(value):
+    return hasattr(value, 'coords') and hasattr(value, 'intensities') and hasattr(value, 'nucleus')
+
+
+def _prepare_cellaligner_image(cell_object, channel, center=None, processing_info=None):
+    if isinstance(cell_object, str):
+        with open(cell_object, 'rb') as file:
+            cell_object = pickle.load(file)
+
+    if channel is None:
+        raise ValueError('channel must be provided for CellAligner_Cell inputs')
+
+    if center is None:
+        center = processing_info.get('center', 'cell') if processing_info is not None else 'cell'
+
+    cell_image = make_cell_image(cell_object, ['nucleus', channel])
+    cell_image = to_shape(cell_image, (max(cell_image.shape[:2]), max(cell_image.shape[:2]), 3))
+    cell_image = cell_image[:, :, [2, 0, 1]]
+    cell_image = align_image(cell_image, center=center)
+
+    if processing_info is not None:
+        if not processing_info.get('rescale', True):
+            max_size = processing_info.get('max_size')
+            if max_size is not None:
+                cell_image = to_shape(cell_image, (max_size, max_size, 3))
+
+        shape = processing_info.get('shape')
+        if shape is not None:
+            cell_image = resize_cell_image(cell_image, shape)
+
+    return cell_image
+
+
+def _load_unique_paired_dataset_images(paired_dataset):
+    unique_indices = sorted({index for pair in paired_dataset.image_pairs for index in pair})
+    images = [np.load(os.path.join(paired_dataset.image_dir, f'cell_{index}.npy')) for index in unique_indices]
+    return unique_indices, images
+
+
+def _paired_dataset_to_indexed_image_dataset(paired_dataset):
+    unique_indices = sorted({index for pair in paired_dataset.image_pairs for index in pair})
+    transform = getattr(paired_dataset, 'transform', None)
+    indexed_dataset = IndexedImageDataset(paired_dataset.image_dir, unique_indices, transform=transform)
+    return unique_indices, indexed_dataset
+
+
+def _batch_to_tensor(batch, device):
+    if isinstance(batch, (list, tuple)):
+        batch = batch[0]
+
+    if isinstance(batch, torch.Tensor):
+        tensor = batch
+        if tensor.ndim == 4 and tensor.shape[-1] in [1, 3] and tensor.shape[1] not in [1, 3]:
+            tensor = tensor.permute(0, 3, 1, 2).contiguous()
+        elif tensor.ndim == 3 and tensor.shape[-1] in [1, 3]:
+            tensor = tensor.permute(2, 0, 1).unsqueeze(0).contiguous()
+    else:
+        array = np.asarray(batch)
+        if array.ndim == 3:
+            array = array[np.newaxis, ...]
+        if array.shape[-1] in [1, 3]:
+            tensor = torch.from_numpy(array).permute(0, 3, 1, 2)
+        else:
+            tensor = torch.from_numpy(array)
+
+    if tensor.ndim == 3:
+        tensor = tensor.unsqueeze(0)
+
+    if tensor.dtype != torch.float32:
+        tensor = tensor.float()
+
+    return tensor.to(device)
+
+
+def _as_sequence_if_object_array(value):
+    if isinstance(value, np.ndarray) and value.dtype == object:
+        return value.tolist()
+    return value
+
+def resize_cell_image(image, target_shape):
+    """
+    Resize a 3-channel cell image with appropriate interpolation for each channel.
+
+    Uses bilinear interpolation for probability channels and nearest neighbor 
+    for binary mask channels to preserve the discrete nature of segmentation masks.
+
+    :param image: Input image of shape (H, W, 3) where channel 0 is probability/intensity,
+        channels 1 and 2 are binary masks.
+    :type image: numpy.ndarray
+    :param target_shape: Target shape as (height, width) for the resized image.
+    :type target_shape: tuple of int
+    :returns: Resized image of shape (target_shape[0], target_shape[1], 3) with
+        appropriate interpolation applied to each channel.
+    :rtype: numpy.ndarray
+    """
+    out = np.zeros((target_shape[0], target_shape[1], image.shape[2]), dtype=image.dtype)
+    # Probability channel (bilinear)
+    out[:,:,0] = ski.transform.resize(image[:,:,0], target_shape, order=1, preserve_range=True, anti_aliasing=True)
+    # Binary channels (nearest neighbor)
+    out[:,:,1] = ski.transform.resize(image[:,:,1], target_shape, order=0, preserve_range=True, anti_aliasing=False)
+    out[:,:,2] = ski.transform.resize(image[:,:,2], target_shape, order=0, preserve_range=True, anti_aliasing=False)
+    return out
+
+
+def major_axis_pca_with_center(mask, center):
+    """
+    Compute the major axis of a binary mask using PCA with a specified center point.
+
+    Performs principal component analysis on the mask pixels relative to a given 
+    center point to determine the major axis of the shape. The axis orientation 
+    is normalized to point toward the side with more mass distribution.
+
+    :param mask: 2D binary mask where non-zero values indicate the region of interest.
+    :type mask: numpy.ndarray
+    :param center: Center point as (y, x) coordinates to use for PCA computation 
+        (e.g., nucleus centroid).
+    :type center: tuple of float
+    :returns: Tuple containing the major axis unit vector and the angle in radians.
+    :rtype: tuple (major_axis_vector: numpy.ndarray, angle: float)
+    """
+    yx = np.argwhere(mask > 0)
+    yx_centered = yx - np.array(center)  # center at nucleus
+    if len(yx_centered) < 2:
+        return np.array([1, 0]), 0.0  # default axis
+    cov = np.cov(yx_centered, rowvar=False)
+    eigvals, eigvecs = np.linalg.eig(cov)
+    major_axis = eigvecs[:, np.argmax(eigvals)]
+    # Ensure consistent orientation: major axis points toward side with more mass
+    projections = yx_centered @ major_axis
+    if projections.sum() < 0:
+        major_axis = -major_axis
+    angle = np.arctan2(major_axis[1], major_axis[0])  # angle w.r.t. x-axis
+    return major_axis, angle
+
+
+def align_image(image, center='cell', cell_mask_channel=1, nucleus_channel=2):
+    """
+    Center and align a 3-channel cell image based on morphological features.
+
+    Centers the image based on the centroid of the largest labeled object and 
+    rotates it to align the major axis horizontally. The image is padded as 
+    needed and trimmed to remove empty borders.
+
+    :param image: Input image of shape (H, W, 3) containing cell imaging data.
+    :type image: numpy.ndarray
+    :param center: Centering method: 'cell' to center on cell mask, 'nucleus' to center 
+        on nucleus mask. Default is 'cell'.
+    :type center: str
+    :param cell_mask_channel: Index of the cell mask channel. Default is 1.
+    :type cell_mask_channel: int
+    :param nucleus_channel: Index of the nucleus mask channel. Default is 2.
+    :type nucleus_channel: int
+    :returns: Centered and rotated image, possibly larger than input due to padding 
+        and rotation operations.
+    :rtype: numpy.ndarray
+    """
+    # Center based on largest labeled cell/nucleus object
+    if center == 'cell':
+        mask = image[..., cell_mask_channel]
+    elif center == 'nucleus':
+        mask = image[..., nucleus_channel]
+    else:
+        raise ValueError("center must be 'cell' or 'nucleus'")
+    labeled_objects = ski.measure.label(mask > 0)
+    object_regions = ski.measure.regionprops(labeled_objects)
+    if not object_regions:
+        print(f'No {center}s found, returning original image.')
+        return image.copy()
+    largest_object = max(object_regions, key=lambda x: x.area)
+    cy, cx = largest_object.centroid  # (y, x)
+    h, w = image.shape[:2]
+    pad_top = int(max(0, (h - cy) - cy))
+    pad_bottom = int(max(0, cy - (h - cy)))
+    pad_left = int(max(0, (w - cx) - cx))
+    pad_right = int(max(0, cx - (w - cx)))
+    padded = np.pad(image, ((pad_top, pad_bottom), (pad_left, pad_right), (0,0)), mode='constant')
+    # pad image to make it square
+    if padded.shape[0] != padded.shape[1]:
+        size = max(padded.shape[:2])
+        pad_h = (size - padded.shape[0]) // 2
+        pad_w = (size - padded.shape[1]) // 2
+        padded = np.pad(padded, ((pad_h, size-padded.shape[0]-pad_h), (pad_w, size-padded.shape[1]-pad_w), (0,0)), mode='constant')
+    # add extra padding to ensure mask is not cropped after rotation
+    pad_extra = int(padded.shape[0] / 2 * (np.sqrt(2) - 1))
+    padded = np.pad(padded, ((pad_extra, pad_extra), (pad_extra, pad_extra), (0,0)), mode='constant')
+    # New centroid after padding
+    new_cy = padded.shape[0]//2
+    new_cx = padded.shape[1]//2
+    # Rotation based on largest labeled cell object
+    cell_mask = padded[..., cell_mask_channel]
+    # Use centroid of largest nucleus for centering, but largest cell for rotation
+    major_axis, angle = major_axis_pca_with_center(cell_mask, (new_cy, new_cx))
+    angle_deg = -np.degrees(angle)
+    rotated_channels = []
+    for c in range(padded.shape[2]):
+        order = 0 if np.array_equal(np.unique(padded[...,c]), [0,1]) else 1
+        rotated = ski.transform.rotate(padded[...,c], angle=angle_deg, center=(new_cy, new_cx), order=order, preserve_range=True)
+        rotated_channels.append(rotated)
+    result = np.stack(rotated_channels, axis=-1)
+    # trim empty borders
+    mask = result[..., cell_mask_channel]
+    if np.any(mask > 0):
+        min_y, min_x = np.array(np.where(mask > 0)).min(axis=1)
+        max_y, max_x = np.array(np.where(mask > 0)).max(axis=1)
+        trim_len = np.min([min_y, min_x, result.shape[0]-max_y, result.shape[1]-max_x])
+        if trim_len > 0:
+            result = result[trim_len:result.shape[0]-trim_len, trim_len:result.shape[1]-trim_len, :]
+    return result
+
+
+def make_NN_training_data(save_path, cell_objects, reference_cell_object, mapped_channel_distributions, channel, center='cell', rescale=True, shape=(64, 64)):
+    """
+    Generate training data from CellAligner_Cell objects for neural network training.
+
+    Creates paired cell images and their corresponding mapped versions for training 
+    deep learning models. Images are aligned, normalized, and saved as numpy arrays.
+
+    :param save_path: Directory path to save processed images. Cell images saved to 
+        '<save_path>/cell_images' and mapped images to '<save_path>/mapped_cell_images'.
+    :type save_path: str
+    :param cell_objects: List of CellAligner_Cell objects or paths to pickled CellAligner_Cell objects.
+    :type cell_objects: list
+    :param reference_cell_object: Reference cell object or path to pickled reference cell object used 
+        as template for mapped distributions.
+    :type reference_cell_object: CellAligner_Cell or str
+    :param mapped_channel_distributions: Array of mapped protein distributions for each cell.
+    :type mapped_channel_distributions: numpy.ndarray
+    :param channel: Channel name to use for image processing.
+    :type channel: str
+    :param center: Centering method for image alignment: 'cell' or 'nucleus'. Default is 'cell'.
+    :type center: str
+    :param rescale: Whether to rescale images to a fixed size. Default is True.
+    :type rescale: bool
+    :param shape: Target shape (height, width) for resizing images. Default is (64, 64).
+    :type shape: tuple of int
+    :returns: None. Images are saved to disk as .npy files.
+    :rtype: None
+    """
+    max_size = None
+    if isinstance(reference_cell_object, str):
+        with open(reference_cell_object, 'rb') as file:
+            reference_cell_object = pickle.load(file)
+            
+    if not rescale:
+        max_size = 0
+        for cell_object in cell_objects:
+            # Load CellAligner_Cell object if path specified
+            if isinstance(cell_object, str):
+                with open(cell_object, 'rb') as file:
+                    cell_object = pickle.load(file)
+            cell_image = make_cell_image(cell_object, ['nucleus', channel])
+            cell_image = to_shape(cell_image, (max(cell_image.shape[:2]), max(cell_image.shape[:2]), 3))
+            cell_image = cell_image[:,:,[2,0,1]]
+            cell_image = align_image(cell_image, center=center)
+            max_size = max(max_size, max(cell_image.shape[:2]))
+
+    for i, cell_object in enumerate(cell_objects):
+        # Load CellAligner_Cell object if path specified
+        if isinstance(cell_object, str):
+            pickle.load(open(cell_object, 'rb'))
+        # make image array from cell object
+        cell_image = make_cell_image(cell_object, ['nucleus', channel])
+        mapped_cell_object = reference_cell_object.copy()
+        mapped_cell_object.intensities[channel] = mapped_channel_distributions[i]
+        mapped_cell_image = make_cell_image(mapped_cell_object, ['nucleus', channel])
+        # pad image to square
+        cell_image = to_shape(cell_image, (max(cell_image.shape[:2]), max(cell_image.shape[:2]), 3))
+        mapped_cell_image = to_shape(mapped_cell_image, (max(mapped_cell_image.shape[:2]), max(mapped_cell_image.shape[:2]), 3))
+        # reorder channels: channel, binary cell mask, binary nucleus mask
+        cell_image = cell_image[:,:,[2,0,1]]
+        mapped_cell_image = mapped_cell_image[:,:,[2,0,1]]
+        # align image
+        cell_image = align_image(cell_image, center=center)
+        mapped_cell_image = align_image(mapped_cell_image, center=center)
+        # resize image
+        if not rescale:
+            cell_image = to_shape(cell_image, (max_size, max_size, 3))
+            mapped_cell_image = to_shape(mapped_cell_image, (max_size, max_size, 3))
+        cell_image = resize_cell_image(cell_image, shape)
+        mapped_cell_image = resize_cell_image(mapped_cell_image, shape)
+        # make cell_images & mapped_cell_images directories if they don't exist
+        if not os.path.exists(os.path.join(save_path, 'cell_images')):
+            os.makedirs(os.path.join(save_path, 'cell_images'))
+        if not os.path.exists(os.path.join(save_path, 'mapped_cell_images')):
+            os.makedirs(os.path.join(save_path, 'mapped_cell_images'))
+        # save image
+        np.save(os.path.join(save_path, 'cell_images', f'cell_{i}.npy'), cell_image)
+        np.save(os.path.join(save_path, 'mapped_cell_images', f'mapped_cell_{i}.npy'), mapped_cell_image)
+
+    _write_cell_image_processing_info(save_path, max_size=max_size, rescale=rescale, shape=shape, center=center)
+
+
+class EfficientNetFeatureExtractor(nn.Module):
+    """
+    Feature extractor using EfficientNet backbone for cell image embeddings.
+
+    Adapts a pretrained EfficientNet model to extract fixed-size feature 
+    embeddings from cell images. Handles variable input channel numbers 
+    and resizes inputs to match EfficientNet requirements.
+
+    :param embedding_size: Size of the output embedding vector. Default is 50.
+    :type embedding_size: int, optional
+    :param input_channels: Number of input channels in the cell images. Default is 3.
+    :type input_channels: int, optional
+    :param efficientnet_type: Type of EfficientNet architecture to use. Default is 'efficientnet_b0'.
+    :type efficientnet_type: str, optional
+    :param pretrained: Whether to use pretrained ImageNet weights. Default is True.
+    :type pretrained: bool, optional
+    """
+    def __init__(self, embedding_size=50, input_channels=3, efficientnet_type='efficientnet_b0', pretrained=True):
+        super().__init__()
+        # Load a pretrained EfficientNet
+        efficientnet = getattr(models, efficientnet_type)(pretrained=pretrained)
+        # Determine expected input size from model metadata if available
+        if hasattr(efficientnet, 'default_cfg') and 'input_size' in efficientnet.default_cfg:
+            self.efficientnet_input_size = efficientnet.default_cfg['input_size'][-1]
+        else:
+            self.efficientnet_input_size = 224  # Fallback for older torchvision
+        if input_channels != 3:
+            efficientnet.features[0][0] = nn.Conv2d(input_channels, efficientnet.features[0][0].out_channels,
+                                                    kernel_size=efficientnet.features[0][0].kernel_size,
+                                                    stride=efficientnet.features[0][0].stride,
+                                                    padding=efficientnet.features[0][0].padding,
+                                                    bias=False)
+        self.features = efficientnet.features
+        self.avgpool = efficientnet.avgpool
+        self.fc = nn.Linear(efficientnet.classifier[1].in_features, embedding_size)
+
+    def forward(self, x):
+        """
+        Forward pass through the feature extractor.
+
+        Parameters
+        ----------
+        x : torch.Tensor
+            Input tensor of shape (batch_size, channels, height, width).
+
+        Returns
+        -------
+        torch.Tensor
+            Feature embedding tensor of shape (batch_size, embedding_size).
+        """
+        # Always resize input to expected EfficientNet input size
+        if x.shape[2] != self.efficientnet_input_size or x.shape[3] != self.efficientnet_input_size:
+            x = F.interpolate(x, size=(self.efficientnet_input_size, self.efficientnet_input_size), mode='bilinear', align_corners=False)
+        x = self.features(x)
+        x = self.avgpool(x)
+        x = torch.flatten(x, 1)
+        x = self.fc(x)
+        return x
+    
+
+class UNetDecoder(nn.Module):
+    """
+    U-Net style decoder for reconstructing images from feature embeddings.
+
+    Implements a decoder network that reconstructs images from compressed 
+    feature embeddings using transposed convolutions and skip connections.
+    The architecture progressively upsamples from a compact representation 
+    back to full image resolution.
+
+    :param embedding_size: Size of the input embedding vector. Default is 50.
+    :type embedding_size: int, optional
+    :param image_size: Target output image size (assumed square). Default is 64.
+    :type image_size: int, optional
+    :param out_channels: Number of output channels in the reconstructed image. Default is 1.
+    :type out_channels: int, optional
+    """
+    def __init__(self, embedding_size=50, image_size=64, out_channels=1):
+        super().__init__()
+        self.image_size = image_size
+        self.fc = nn.Linear(embedding_size, 128 * (image_size // 8) * (image_size // 8))
+        # Encoder/decoder blocks
+        self.up1 = nn.ConvTranspose2d(128, 64, kernel_size=2, stride=2)
+        self.conv1 = nn.Sequential(
+            nn.Conv2d(64, 64, 3, padding=1), nn.ReLU(),
+            nn.Conv2d(64, 64, 3, padding=1), nn.ReLU()
+        )
+        self.up2 = nn.ConvTranspose2d(64, 32, kernel_size=2, stride=2)
+        self.conv2 = nn.Sequential(
+            nn.Conv2d(32, 32, 3, padding=1), nn.ReLU(),
+            nn.Conv2d(32, 32, 3, padding=1), nn.ReLU()
+        )
+        self.up3 = nn.ConvTranspose2d(32, 16, kernel_size=2, stride=2)
+        self.conv3 = nn.Sequential(
+            nn.Conv2d(16, 16, 3, padding=1), nn.ReLU(),
+            nn.Conv2d(16, 16, 3, padding=1), nn.ReLU()
+        )
+        self.final = nn.Conv2d(16, out_channels, 1)
+
+    def forward(self, x):
+        """
+        Forward pass through the U-Net decoder.
+
+        Parameters
+        ----------
+        x : torch.Tensor
+            Input embedding tensor of shape (batch_size, embedding_size).
+
+        Returns
+        -------
+        torch.Tensor
+            Reconstructed image tensor of shape (batch_size, out_channels, 
+            image_size, image_size) with softmax-normalized probability 
+            distributions.
+        """
+        # x: (batch, embedding_size)
+        x = self.fc(x)
+        x = x.view(x.size(0), 128, self.image_size // 8, self.image_size // 8)
+        x = self.up1(x)
+        x = self.conv1(x)
+        x = self.up2(x)
+        x = self.conv2(x)
+        x = self.up3(x)
+        x = self.conv3(x)
+        x = self.final(x)
+        # Output: (batch, out_channels, H, W)
+        x = torch.softmax(x.view(x.size(0), -1), dim=1).view(x.size(0), 1, self.image_size, self.image_size)
+        return x
+
+
+class dCellAlignerNetwork(nn.Module):
+    """
+    Deep CellAligner Network.
+    
+    A complete neural network architecture that combines feature extraction, 
+    distance computation, and image reconstruction in a multi-task learning 
+    framework. Designed for approximating CellAligner mapping to anchor cell 
+    morphologies and learning embeddings that preserve metrics for quantifying 
+    differences in protein localization after mapping.
+
+    :param input_channels: Number of input image channels. Default is 3.
+    :type input_channels: int, optional
+    :param embedding_size: Dimensionality of the feature embedding space. Default is 50.
+    :type embedding_size: int, optional
+    :param image_size: Size of input/output images (assumed square). Default is 64.
+    :type image_size: int, optional
+    """
+    def __init__(self, input_channels=3, embedding_size=50, image_size=64):
+        super().__init__()
+        self.feature_extractor = EfficientNetFeatureExtractor(
+            embedding_size=embedding_size,
+            input_channels=input_channels,
+            efficientnet_type='efficientnet_b4',  
+            pretrained=True
+        )
+        # Only decode the first/protein/probability channel
+        self.feature_decoder = UNetDecoder(embedding_size, image_size)
+        
+    def forward(self, x1, x2, return_embedding=False):
+        """
+        Forward pass through the complete Deep CellAligner network.
+
+        Processes two input images through feature extraction, computes their 
+        embedding distance, and reconstructs both images. Optionally returns 
+        the intermediate feature embeddings.
+
+        Parameters
+        ----------
+        x1, x2 : torch.Tensor
+            Input image tensors of shape (batch_size, channels, height, width).
+        return_embedding : bool, optional
+            Whether to return intermediate feature embeddings. Default is False.
+
+        Returns
+        -------
+        tuple
+            If return_embedding is False:
+                distance : torch.Tensor
+                    Squared Euclidean distance between embeddings of shape 
+                    (batch_size, 1).
+                uf1, uf2 : torch.Tensor
+                    Reconstructed images of shape (batch_size, 1, height, width).
+            
+            If return_embedding is True:
+                distance : torch.Tensor
+                    Squared Euclidean distance between embeddings.
+                uf1, uf2 : torch.Tensor
+                    Reconstructed images.
+                feat1, feat2 : torch.Tensor
+                    Feature embeddings of shape (batch_size, embedding_size).
+        """
+        # Extract features from both images
+        feat1 = self.feature_extractor(x1)
+        feat2 = self.feature_extractor(x2)
+        # Compute Euclidean distance in embedding space
+        distance = torch.sum((feat1 - feat2) ** 2, dim=1, keepdim=True)
+        # Reconstruct both images from their embeddings
+        uf1 = self.feature_decoder(feat1)
+        uf2 = self.feature_decoder(feat2)
+        # Return: distance, reconstruction1, reconstruction2, copy1, copy2
+        if return_embedding:
+            return distance, uf1, uf2, feat1, feat2
+        else:
+            return distance, uf1, uf2
+        
+
+class PretrainPairedDataset(Dataset):
+    """
+    PyTorch Dataset for pretraining with paired input and target images.
+
+    Loads pairs of numpy arrays for pretraining tasks where each input image 
+    has a corresponding target image. Handles channel dimension reordering 
+    and applies optional transforms.
+
+    :param input_files: List of file paths to input image numpy arrays.
+    :type input_files: list of str
+    :param target_files: List of file paths to target image numpy arrays. Must have same 
+        length as input_files.
+    :type target_files: list of str
+    :param transform: Optional transform to apply to both input and target images.
+        Default is None.
+    :type transform: callable, optional
+    :param augment_transform: Additional augmentation transform for data augmentation. Default is None.
+    :type augment_transform: callable, optional
+
+    :raises AssertionError: If input_files and target_files have different lengths.
+    """
+    def __init__(self, input_files, target_files, transform=None, augment_transform=None, n_augment=1):
+        self.input_files = [f for f in input_files for _ in range(n_augment)]
+        self.target_files = [f for f in target_files for _ in range(n_augment)]
+        assert len(self.input_files) == len(self.target_files), 'Input and target directories must have the same number of images.'
+        self.transform = transform
+        self.augment_transform = augment_transform
+    
+    def __len__(self):
+        return len(self.input_files)
+    
+    def __getitem__(self, idx):
+        input_img = np.load(self.input_files[idx])
+        target_img = np.load(self.target_files[idx])
+        # Ensure shape is (C, H, W) for torch
+        if input_img.ndim == 2:
+            input_img = input_img[np.newaxis, ...]
+        elif input_img.ndim == 3 and input_img.shape[0] != 3 and input_img.shape[-1] == 3:
+            input_img = np.transpose(input_img, (2, 0, 1))
+        if target_img.ndim == 2:
+            target_img = target_img[np.newaxis, ...]
+        elif target_img.ndim == 3 and target_img.shape[0] != 3 and target_img.shape[-1] == 3:
+            target_img = np.transpose(target_img, (2, 0, 1))
+        if self.transform:
+            input_img = self.transform(input_img)
+            target_img = self.transform(target_img)
+        if self.augment_transform:
+            input_img = self.augment_transform(input_img)
+            target_img = self.augment_transform(target_img)
+        input_img = torch.from_numpy(input_img).float()
+        target_img = torch.from_numpy(target_img).float()
+        return input_img, target_img
+
+
+def pretrain_model(paired_dataset, model, dataset_name, save_path=None, 
+                  batch_size=64, epochs=10, lr=1e-3, device=None, return_model=True):
+    """
+    Pretrain a model using paired input and target images provided as a PairedDataset.
+
+    This function accepts a `PairedDataset` object and first converts it into a
+    `PretrainPairedDataset` by collecting the unique image indices referenced in
+    the paired dataset. For each unique image index `i`, the input path is
+    '<image_dir>/cell_i.npy' and the target path is
+    '<mapped_image_dir>/mapped_cell_i.npy'. After conversion the rest of the
+    training loop is identical to the previous implementation.
+
+    :param paired_dataset: Dataset containing paired indices and directory information. Must have
+        attributes `image_dir`, `mapped_image_dir` and `image_pairs`.
+    :type paired_dataset: PairedDataset
+    :param model: Neural network model to pretrain. Must have a forward method that 
+        takes two identical inputs and returns reconstructions.
+    :type model: torch.nn.Module
+    :param dataset_name: Name prefix for saved model files.
+    :type dataset_name: str
+    :param save_path: Directory path to save the pretrained model. If None, model is not saved.
+        Default is None.
+    :type save_path: str, optional
+    :param batch_size: Batch size for training. Default is 64.
+    :type batch_size: int, optional
+    :param epochs: Number of training epochs. Default is 10.
+    :type epochs: int, optional
+    :param lr: Learning rate for the Adam optimizer. Default is 1e-3.
+    :type lr: float, optional
+    :param device: Device to run training on. If None, automatically selects GPU 
+        if available. Default is None.
+    :type device: torch.device, optional
+    :param return_model: Whether to return the trained model. If False, returns None.
+        Default is True.
+    :type return_model: bool, optional
+
+    :returns: The pretrained model if return_model is True, otherwise None.
+    :rtype: torch.nn.Module or None
+    """
+    # Convert PairedDataset to lists of input/target files (unique images)
+    if not isinstance(paired_dataset, PairedDataset):
+        raise TypeError("paired_dataset must be an instance of PairedDataset")
+
+    all_indices = set()
+    for pair in paired_dataset.image_pairs:
+        all_indices.update(pair)
+    all_indices = sorted(list(all_indices))
+
+    input_files = [os.path.join(paired_dataset.image_dir, f"cell_{idx}.npy") for idx in all_indices]
+    target_files = [os.path.join(paired_dataset.mapped_image_dir, f"mapped_cell_{idx}.npy") for idx in all_indices]
+
+    dataset = PretrainPairedDataset(input_files, target_files)
+    loader = DataLoader(dataset, batch_size=batch_size, shuffle=True)
+    if device is None:
+        device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+    model = model.to(device)
+    optimizer = optim.Adam(model.parameters(), lr=lr)
+
+    # Store config for saving (if it's a dCellAlignerNetwork)
+    config = None
+    if hasattr(model, 'feature_extractor') and hasattr(model, 'feature_decoder'):
+        # Try to extract config from dCellAlignerNetwork
+        try:
+            input_channels = model.feature_extractor.feature_extractor.features[0][0].in_channels if hasattr(model.feature_extractor, 'feature_extractor') else 3
+            embedding_size = model.feature_extractor.fc.out_features
+            image_size = model.feature_decoder.image_size
+            config = {
+                'input_channels': input_channels,
+                'embedding_size': embedding_size,
+                'image_size': image_size
+            }
+        except:
+            print("Warning: Could not extract model config for saving")
+    
+    # Create save directory if specified
+    if save_path is not None:
+        os.makedirs(save_path, exist_ok=True)
+    
+    model.train()
+    best_loss = float('inf')
+    
+    for epoch in range(epochs):
+        total_loss = 0
+        progress_bar = tqdm(loader, desc=f"Epoch {epoch+1}/{epochs}")
+        for input_batch, target_batch in progress_bar:
+            input_batch = input_batch.float()
+            target_batch = target_batch.float()
+            if input_batch.ndim == 4 and input_batch.shape[-1] == 3:
+                input_batch = input_batch.permute(0, 3, 1, 2)
+            if target_batch.ndim == 4 and target_batch.shape[-1] == 3:
+                target_batch = target_batch.permute(0, 3, 1, 2)
+            input_batch = input_batch.to(device)
+            target_batch = target_batch.to(device)
+            optimizer.zero_grad()
+            _, recon, _ = model(input_batch, input_batch)
+            # Only reconstruct the first channel (probability/protein) of the target
+            target = target_batch[:, 0:1, :, :]
+            pred = recon[:, 0:1, :, :]
+            loss = kullback_leibler_divergence_loss(target, pred)
+            loss.backward()
+            optimizer.step()
+            total_loss += loss.item() * input_batch.size(0)
+            progress_bar.set_postfix({'loss': loss.item()})
+        
+        epoch_loss = total_loss / len(dataset)
+        print(f"Epoch {epoch+1}/{epochs}, Loss: {epoch_loss:.6f}")
+        
+        # Save best model if save_path is provided
+        if save_path is not None and epoch_loss < best_loss:
+            best_loss = epoch_loss
+            if config is not None:
+                # Save with config
+                torch.save({
+                    'state_dict': model.state_dict(),
+                    'config': config,
+                    'epoch': epoch + 1,
+                    'loss': epoch_loss
+                }, os.path.join(save_path, f'{dataset_name}_pretrained_best.pth'))
+            else:
+                # Save without config (backward compatibility)
+                torch.save(model.state_dict(), os.path.join(save_path, f'{dataset_name}_pretrained_best.pth'))
+            print(f'    → New best model saved (loss: {epoch_loss:.6f})')
+    
+    # Save final model if save_path is provided
+    if save_path is not None:
+        if config is not None:
+            torch.save({
+                'state_dict': model.state_dict(),
+                'config': config,
+                'epoch': epochs,
+                'loss': epoch_loss
+            }, os.path.join(save_path, f'{dataset_name}_pretrained_final.pth'))
+        else:
+            torch.save(model.state_dict(), os.path.join(save_path, f'{dataset_name}_pretrained_final.pth'))
+        print(f'Saved pretrained model to {save_path}/{dataset_name}_pretrained_final.pth')
+    
+    return model if return_model else None
+
+
+def kullback_leibler_divergence_loss(y_true, y_pred):
+    """
+    Compute Kullback-Leibler divergence loss for probability distributions.
+
+    Measures how well a predicted probability distribution matches a target 
+    distribution. Used for reconstruction quality assessment when dealing 
+    with normalized protein distributions.
+
+    :param y_true: Target probability distribution tensor.
+    :type y_true: torch.Tensor
+    :param y_pred: Predicted probability distribution tensor.
+    :type y_pred: torch.Tensor
+    :returns: Mean KL divergence loss across the batch.
+    :rtype: torch.Tensor
+
+    .. note::
+
+        The KL divergence is computed as: KL(P||Q) = sum(P * log(P/Q))
+        Values are clamped to avoid log(0) numerical issues.
+    """
+    epsilon = 1e-8
+    
+    # Clamp values to avoid log(0)
+    y_true = torch.clamp(y_true, epsilon, 1.0)
+    y_pred = torch.clamp(y_pred, epsilon, 1.0)
+    
+    # Flatten tensors for computation
+    y_true_flat = y_true.view(y_true.size(0), -1)
+    y_pred_flat = y_pred.view(y_pred.size(0), -1)
+    
+    # Compute KL divergence: KL(P||Q) = sum(P * log(P/Q))
+    kl_div = torch.sum(y_true_flat * torch.log(y_true_flat / y_pred_flat), dim=1)
+    return torch.mean(kl_div)
+
+
+def sparsity_constraint_loss(embeddings, sparsity_target=0.1):
+    """
+    Apply KL divergence sparsity constraint to hidden unit activations.
+
+    Encourages sparse representations by penalizing deviations from a target 
+    sparsity level. This regularization helps prevent overfitting and promotes 
+    more interpretable feature representations.
+
+    :param embeddings: Hidden unit activations of shape (batch_size, embedding_dim).
+    :type embeddings: torch.Tensor
+    :param sparsity_target: Desired average activation level for each hidden unit. Default is 0.1.
+    :type sparsity_target: float, optional
+    :returns: Scalar sparsity loss computed as the sum of KL divergences across 
+        all embedding dimensions.
+    :rtype: torch.Tensor
+
+    .. note::
+
+        Activations are passed through sigmoid to ensure they're in (0,1) range 
+        before computing the sparsity constraint.
+    """
+    epsilon = 1e-8
+    # Apply sigmoid to ensure activations are in (0,1)
+    activations = torch.sigmoid(embeddings)
+    rho_hat = torch.mean(activations, dim=0)  # (embedding_dim,)
+    rho = torch.full_like(rho_hat, sparsity_target)
+    kl = rho * torch.log((rho + epsilon) / (rho_hat + epsilon)) + \
+         (1 - rho) * torch.log((1 - rho + epsilon) / (1 - rho_hat + epsilon))
+    return torch.sum(kl)
+
+
+def reconstruction_loss(x, uf):
+    """
+    Compute multi-channel reconstruction loss for cell images.
+
+    Applies appropriate loss functions for different channel types:
+    probability distributions use KL divergence, while binary masks 
+    use binary cross-entropy loss.
+
+    :param x: Original image tensor of shape (batch_size, 3, height, width).
+    :type x: torch.Tensor
+    :param uf: Reconstructed image tensor of same shape as x.
+    :type uf: torch.Tensor
+    :returns: Combined reconstruction loss across all channels.
+    :rtype: torch.Tensor
+
+    .. note::
+
+        - Channel 0: Probability distribution (KL divergence loss)
+        - Channel 1: Binary cell mask (Binary cross-entropy loss)
+        - Channel 2: Binary nucleus mask (Binary cross-entropy loss)
+    """
+    # Split channels
+    x_prob, x_mask1, x_mask2 = x[:, 0:1, :, :], x[:, 1:2, :, :], x[:, 2:3, :, :]
+    uf_prob, uf_mask1, uf_mask2 = uf[:, 0:1, :, :], uf[:, 1:2, :, :], uf[:, 2:3, :, :]
+
+    # Probability channel: KL divergence
+    kl = kullback_leibler_divergence_loss(x_prob, uf_prob)
+    # Binary mask channels: BCE loss
+    bce1 = F.binary_cross_entropy(uf_mask1, x_mask1)
+    bce2 = F.binary_cross_entropy(uf_mask2, x_mask2)
+    return kl + bce1 + bce2
+
+
+def get_random_pairs(indices, n_pairs):
+    """
+    Generate a random subset of unique pairs from a list of indices.
+
+    Creates all possible unique pairs from the input indices and randomly 
+    samples a specified number of them. Useful for creating training pairs 
+    from a dataset without exhaustive pairwise combinations.
+
+    :param indices: List or array of indices to create pairs from.
+    :type indices: array-like
+    :param n_pairs: Number of pairs to randomly sample. If larger than the total 
+        possible pairs, returns all possible pairs.
+    :type n_pairs: int
+    :returns: Array of shape (n_pairs, 2) containing randomly selected index pairs.
+    :rtype: numpy.ndarray
+    """
+    all_pairs = np.array(list(it.combinations(indices, 2)))
+    if n_pairs > len(all_pairs):
+        n_pairs = len(all_pairs)
+    pair_inds = np.random.choice(len(all_pairs), n_pairs, replace=False)
+    return all_pairs[pair_inds]
+
+
+class IndexedImageDataset(Dataset):
+    """
+    PyTorch Dataset for loading individual cell images by index.
+
+    Simple dataset for loading cell images by index, useful for extracting 
+    embeddings from unique images in a PairedDataset without loading duplicates.
+
+    :param image_dir: Path to directory containing cell image .npy files with naming 
+        convention 'cell_{index}.npy'.
+    :type image_dir: str
+    :param indices: List of cell indices to load.
+    :type indices: list of int
+    :param transform: Transform function to apply to all images. Default is None.
+    :type transform: callable, optional
+    """
+    def __init__(self, image_dir, indices, transform=None):
+        self.image_dir = image_dir
+        self.indices = indices
+        self.transform = transform
+    
+    def __len__(self):
+        return len(self.indices)
+    
+    def __getitem__(self, idx):
+        index = self.indices[idx]
+        img_path = os.path.join(self.image_dir, f"cell_{index}.npy")
+        image = np.load(img_path)
+        
+        if self.transform is not None:
+            image = self.transform(image)
+        
+        return image
+
+
+class PairedDataset(Dataset):
+    """
+    PyTorch Dataset for loading paired cell images with distance labels.
+
+    Loads pairs of cell images and their mapped counterparts from numpy files 
+    for training distance-based models. Supports data augmentation and lazy 
+    loading for memory efficiency.
+
+    :param image_dir: Path to directory containing cell image .npy files with naming 
+        convention 'cell_{index}.npy'.
+    :type image_dir: str
+    :param mapped_image_dir: Path to directory containing mapped cell image .npy files with naming 
+        convention 'mapped_cell_{index}.npy'.
+    :type mapped_image_dir: str
+    :param distances: Distance values corresponding to each image pair for supervised learning.
+    :type distances: list of float
+    :param image_pairs: List of (index1, index2) tuples specifying which images to pair.
+    :type image_pairs: list of tuple
+    :param transform: Transform function to apply to all images. Default is None.
+    :type transform: callable, optional
+    :param augment_transform: Additional augmentation transform for data augmentation. Default is None.
+    :type augment_transform: callable, optional
+    :param n_augment: Number of augmented copies to create for each pair. Default is 1.
+    :type n_augment: int, optional
+
+    .. note::
+
+        The dataset expects file naming conventions:
+        - Cell images: 'cell_{index}.npy'
+        - Mapped images: 'mapped_cell_{index}.npy'
+    """
+    def __init__(self, image_dir, mapped_image_dir, distances, image_pairs, transform=None, augment_transform=None, n_augment=1):
+        # Store directory paths. Listing all files is no longer needed.
+        self.image_dir = image_dir
+        self.mapped_image_dir = mapped_image_dir
+
+        # The rest of the logic remains the same
+        self.distances = [distance for distance in distances for _ in range(n_augment)]
+        self.image_pairs = [image_pair for image_pair in image_pairs for _ in range(n_augment)]
+        self.transform = transform
+        self.augment_transform = augment_transform
+
+    def __getitem__(self, index):
+        # Get the integer indices for the pair
+        ind_1, ind_2 = self.image_pairs[index]
+        
+        # Dynamically construct the filenames using the indices
+        img_path_1 = os.path.join(self.image_dir, f"cell_{ind_1}.npy")
+        img_path_2 = os.path.join(self.image_dir, f"cell_{ind_2}.npy")
+        mapped_img_path_1 = os.path.join(self.mapped_image_dir, f"mapped_cell_{ind_1}.npy")
+        mapped_img_path_2 = os.path.join(self.mapped_image_dir, f"mapped_cell_{ind_2}.npy")
+
+        # Load the NumPy arrays from the .npy files
+        image_1 = np.load(img_path_1)
+        image_2 = np.load(img_path_2)
+        mapped_image_cell_1 = np.load(mapped_img_path_1)
+        mapped_image_cell_2 = np.load(mapped_img_path_2)
+        
+        # Apply the general transform if it exists
+        if self.transform is not None:
+            image_1 = self.transform(image_1)
+            image_2 = self.transform(image_2)
+            mapped_image_cell_1 = self.transform(mapped_image_cell_1)
+            mapped_image_cell_2 = self.transform(mapped_image_cell_2)
+
+        # Apply the augmentation transform if it exists
+        if self.augment_transform is not None:
+            image_1 = self.augment_transform(image_1)
+            image_2 = self.augment_transform(image_2)
+        
+        distance = self.distances[index]
+
+        return image_1, image_2, mapped_image_cell_1, mapped_image_cell_2, distance
+
+    def __len__(self):
+        # The length is determined by the number of pairs, which is correct
+        return len(self.image_pairs)
+    
+
+class RandomHorizontalRescale(object):
+    """
+    Data augmentation transform that randomly rescales image width.
+
+    Randomly rescales the horizontal axis of cell images to achieve uniform 
+    distribution of cell mask widths. Uses appropriate interpolation methods 
+    for different channel types (bilinear for intensity, nearest for masks).
+
+    :param min_relative_width: Minimum relative width of the cell mask as fraction of image width.
+        Default is 0.1.
+    :type min_relative_width: float, optional
+    :param max_relative_width: Maximum relative width of the cell mask as fraction of image width.
+        Default is 1.0.
+    :type max_relative_width: float, optional
+
+    .. note::
+
+        - Channel 0: Resized with bilinear interpolation (intensity/probability)
+        - Other channels: Resized with nearest neighbor interpolation (binary masks)
+        The transform maintains the original image width by padding or cropping after rescaling.
+    """
+    def __init__(self, min_relative_width=0.1, max_relative_width=1.0):
+        assert 0 < min_relative_width <= max_relative_width <= 1.0
+        self.min_relative_width = min_relative_width
+        self.max_relative_width = max_relative_width
+
+    def __call__(self, image):
+        c, h, w = image.shape
+        mask = image[1]  # channel 1 is the segmentation mask
+        mask_inds = (mask > 0).nonzero(as_tuple=False)
+        min_x = mask_inds[:, 1].min().item()
+        max_x = mask_inds[:, 1].max().item()
+        mask_width = max_x - min_x + 1
+
+        # Compute allowed min/max mask widths in pixels
+        min_mask_width = int(self.min_relative_width * w)
+        max_mask_width = int(self.max_relative_width * w)
+        min_mask_width = max(1, min_mask_width)
+        max_mask_width = max(min_mask_width, max_mask_width)
+
+        # Sample target mask width
+        target_mask_width = random.randint(min_mask_width, max_mask_width)
+        scale = target_mask_width / mask_width
+
+        # Compute new width for the whole image
+        new_w = int(round(w * scale))
+        new_w = max(1, new_w)
+
+        # Resize each channel separately, with bilinear for channel 0, nearest for others
+        resized = []
+        for i in range(c):
+            channel = image[i].unsqueeze(0)
+            if i == 0:
+                resized_channel = TF.resize(channel, [h, new_w], interpolation=TF.InterpolationMode.BILINEAR)
+            else:
+                resized_channel = TF.resize(channel, [h, new_w], interpolation=TF.InterpolationMode.NEAREST)
+            resized.append(resized_channel.squeeze(0))
+        image_rescaled = torch.stack(resized, dim=0)
+
+        # Pad or crop to original width
+        if new_w < w:
+            pad = (w - new_w) // 2
+            image_rescaled = TF.pad(image_rescaled, (pad, 0, w - new_w - pad, 0))
+        elif new_w > w:
+            crop = (new_w - w) // 2
+            image_rescaled = image_rescaled[:, :, crop:crop + w]
+        return image_rescaled
+    
+
+def train_dCellAligner(train_dataset, valid_dataset, test_dataset, save_path, dataset_name, embedding_size=50, 
+              image_shape=(64,64), batch_size=100, epochs=100, 
+              device=None, learning_rate=0.001, dist_weight=1.0,
+              early_stopping=True, patience=3, weight_decay=1e-5,
+              lr_gamma=0.95, sparsity_weight=0.0, sparsity_target=0.05,
+              pretrained_path=None, show_loss_components=False):
+    """
+    Trains a Deep CellAligner model using multi-task learning with distance prediction 
+    and image reconstruction objectives. Supports early stopping, learning rate 
+    scheduling, and optional sparsity constraints.
+
+    :param train_dataset: PyTorch datasets for training, validation, and testing.
+    :type train_dataset: Dataset
+    :param valid_dataset: Validation dataset.
+    :type valid_dataset: Dataset
+    :param test_dataset: Test dataset.
+    :type test_dataset: Dataset
+    :param save_path: Directory path to save the trained model and checkpoints.
+    :type save_path: str
+    :param dataset_name: Name prefix for saved model files.
+    :type dataset_name: str
+    :param embedding_size: Dimensionality of the feature embedding space. Default is 50.
+    :type embedding_size: int, optional
+    :param image_shape: Shape of input images as (height, width). Default is (64, 64).
+    :type image_shape: tuple of int, optional
+    :param batch_size: Batch size for training. Default is 100.
+    :type batch_size: int, optional
+    :param epochs: Maximum number of training epochs. Default is 100.
+    :type epochs: int, optional
+    :param device: Device for training. If None, automatically selects GPU if available.
+    :type device: torch.device, optional
+    :param learning_rate: Initial learning rate for Adam optimizer. Default is 0.001.
+    :type learning_rate: float, optional
+    :param dist_weight: Weight for distance loss vs reconstruction loss in total loss. Default is 1.0.
+    :type dist_weight: float, optional
+    :param early_stopping: Whether to use early stopping based on validation loss. Default is True.
+    :type early_stopping: bool, optional
+    :param patience: Number of epochs to wait for improvement before stopping. Default is 3.
+    :type patience: int, optional
+    :param weight_decay: L2 regularization weight for optimizer. Default is 1e-5.
+    :type weight_decay: float, optional
+    :param lr_gamma: Decay factor for exponential learning rate scheduler. Default is 0.95.
+    :type lr_gamma: float, optional
+    :param sparsity_weight: Weight for sparsity constraint loss. Default is 0.0 (disabled).
+    :type sparsity_weight: float, optional
+    :param sparsity_target: Target sparsity level for hidden activations. Default is 0.05.
+    :type sparsity_target: float, optional
+    :param pretrained_path: Path to pretrained model weights to initialize from. Default is None.
+    :type pretrained_path: str, optional
+    :param show_loss_components: Whether to display individual loss components (distance, reconstruction, 
+        sparsity) during training. Default is False.
+    :type show_loss_components: bool, optional
+
+    :returns: Tuple containing the trained model, training loss history, and validation loss history.
+    :rtype: tuple (model: torch.nn.Module, train_losses: list of float, val_losses: list of float)
+    """
+    # Setup device
+    if device is None:
+        device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+    print(f"Training on device: {device}")
+    
+    train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True)
+    valid_loader = DataLoader(valid_dataset, batch_size=batch_size, shuffle=False)
+    test_loader = DataLoader(test_dataset, batch_size=batch_size, shuffle=False)
+
+    input_channels = 3
+    image_size = image_shape[0]
+    model = dCellAlignerNetwork(input_channels, embedding_size, image_size).to(device)
+    
+    # Store config for saving
+    config = {
+        'input_channels': input_channels,
+        'embedding_size': embedding_size,
+        'image_size': image_size
+    }
+    
+    # Load pretrained weights if provided
+    if pretrained_path is not None and os.path.exists(pretrained_path):
+        print(f"Loading pretrained weights from {pretrained_path}")
+        checkpoint = torch.load(pretrained_path, map_location=device)
+        if isinstance(checkpoint, dict) and 'state_dict' in checkpoint:
+            model.load_state_dict(checkpoint['state_dict'], strict=False)
+        else:
+            model.load_state_dict(checkpoint, strict=False)
+
+    # Training setup
+    optimizer = optim.Adam(model.parameters(), lr=learning_rate, weight_decay=weight_decay)
+    scheduler = optim.lr_scheduler.ExponentialLR(optimizer, gamma=lr_gamma)
+    best_val_loss = float('inf')
+    patience_counter = 0
+    
+    # Create model directory
+    if not os.path.exists(save_path):
+        os.makedirs(save_path)
+    
+    print(f"Starting training for {epochs} epochs...")
+    
+    train_losses = []
+    val_losses = []
+    # Training loop
+    for epoch in range(epochs):
+        # Training phase
+        model.train()
+        train_loss = 0.0
+        train_samples = 0
+        train_iter = tqdm(enumerate(train_loader), total=len(train_loader), desc=f"Epoch {epoch+1}/{epochs}", leave=False)
+        for batch_idx, (x1, x2, mapped_x1, mapped_x2, target_dist) in train_iter:
+            x1, x2, mapped_x1, mapped_x2, target_dist = x1.to(device), x2.to(device), mapped_x1.to(device), mapped_x2.to(device), target_dist.to(device)
+            x1 = torch.clamp(x1, 0.0, 1.0)
+            x2 = torch.clamp(x2, 0.0, 1.0)
+            mapped_x1 = torch.clamp(mapped_x1, 0.0, 1.0)
+            mapped_x2 = torch.clamp(mapped_x2, 0.0, 1.0)
+            optimizer.zero_grad()
+            # Forward pass (with embeddings)
+            distance, uf1, uf2, emb1, emb2 = model(x1, x2, return_embedding=True)
+            dist_loss = F.mse_loss(distance.squeeze(), target_dist)
+            mapped_x1_prob = mapped_x1[:, 0:1, :, :]
+            mapped_x2_prob = mapped_x2[:, 0:1, :, :]
+            kl1 = kullback_leibler_divergence_loss(mapped_x1_prob, uf1)
+            kl2 = kullback_leibler_divergence_loss(mapped_x2_prob, uf2)
+            recon_loss = kl1 + kl2
+            # KL sparsity constraint
+            sparsity_loss = sparsity_constraint_loss(emb1, sparsity_target) + sparsity_constraint_loss(emb2, sparsity_target)
+            total_loss = dist_weight * dist_loss + recon_loss + sparsity_weight * sparsity_loss
+            total_loss.backward()
+            optimizer.step()
+            batch_size_actual = x1.size(0)
+            train_loss += total_loss.item() * batch_size_actual
+            train_samples += batch_size_actual
+        # Validation phase
+        model.eval()
+        val_loss = 0.0
+        val_samples = 0
+        with torch.no_grad():
+            for x1, x2, mapped_x1, mapped_x2, target_dist in valid_loader:
+                x1, x2, mapped_x1, mapped_x2, target_dist = x1.to(device), x2.to(device), mapped_x1.to(device), mapped_x2.to(device), target_dist.to(device)
+                distance, uf1, uf2 = model(x1, x2)
+                dist_loss = F.mse_loss(distance.squeeze(), target_dist)
+                mapped_x1_prob = mapped_x1[:, 0:1, :, :]
+                mapped_x2_prob = mapped_x2[:, 0:1, :, :]
+                kl1 = kullback_leibler_divergence_loss(mapped_x1_prob, uf1)
+                kl2 = kullback_leibler_divergence_loss(mapped_x2_prob, uf2)
+                recon_loss = kl1 + kl2
+                total_loss = dist_weight * dist_loss + recon_loss
+                batch_size_actual = x1.size(0)
+                val_loss += total_loss.item() * batch_size_actual
+                val_samples += batch_size_actual
+        # Step the learning rate scheduler
+        scheduler.step()
+        # Calculate average losses per pair
+        train_loss /= train_samples
+        val_loss /= val_samples
+        train_losses.append(train_loss)
+        val_losses.append(val_loss)
+        print(f'Epoch {epoch+1:3d}/{epochs}: Train Loss: {train_loss:.6f}, '
+              f'Val Loss: {val_loss:.6f}')
+        
+        if show_loss_components:
+            # check ranges of losses (FOR TESTING)
+            print(f"Distance Loss: {dist_loss.item()}, Reconstruction Loss: {recon_loss.item()}, Sparsity Loss: {sparsity_loss.item()}")
+        
+        # Early stopping and model saving
+        if val_loss < best_val_loss:
+            best_val_loss = val_loss
+            patience_counter = 0
+            
+            # Save best model with config
+            torch.save({
+                'state_dict': model.state_dict(),
+                'config': config
+            }, f'{save_path}/{dataset_name}_best.pth')
+            print(f'    → New best model saved (val_loss: {val_loss:.6f})')
+        else:
+            patience_counter += 1
+            if early_stopping and patience_counter >= patience:
+                print(f'Early stopping at epoch {epoch+1} (patience: {patience})')
+                break
+    
+    # Final test evaluation
+    print("\nEvaluating on test set...")
+    model.eval()
+    test_loss = 0.0
+    test_samples = 0
+    
+    with torch.no_grad():
+        for x1, x2, mapped_x1, mapped_x2, target_dist in test_loader:
+            x1, x2, mapped_x1, mapped_x2, target_dist = x1.to(device), x2.to(device), mapped_x1.to(device), mapped_x2.to(device), target_dist.to(device)
+            distance, uf1, uf2 = model(x1, x2)
+            dist_loss = F.mse_loss(distance, target_dist)
+            mapped_x1_prob = mapped_x1[:, 0:1, :, :]
+            mapped_x2_prob = mapped_x2[:, 0:1, :, :]
+            kl1 = kullback_leibler_divergence_loss(mapped_x1_prob, uf1)
+            kl2 = kullback_leibler_divergence_loss(mapped_x2_prob, uf2)
+            recon_loss = kl1 + kl2
+            total_loss = dist_weight * dist_loss + recon_loss
+            batch_size_actual = x1.size(0)
+            test_loss += total_loss.item() * batch_size_actual
+            test_samples += batch_size_actual
+    
+    test_loss /= test_samples
+    print(f'Final Test Loss: {test_loss:.6f}')
+    
+    # Save final model with config
+    print("\nSaving model...")
+    torch.save({
+        'state_dict': model.state_dict(),
+        'config': config
+    }, f'{save_path}/{dataset_name}_final.pth')
+    print(f'Saved DWE model to {save_path}/{dataset_name}_final.pth')
+    
+    return model, train_losses, val_losses
+
+
+def load_dCellAligner_model(checkpoint_path, device=None):
+    """
+    Load a Deep CellAligner model from a checkpoint containing state dict and config.
+    
+    :param checkpoint_path: Path to the checkpoint file containing both state_dict and config.
+    :type checkpoint_path: str
+    :param device: Device to load the model on. If None, uses GPU if available.
+    :type device: torch.device, optional
+    :returns: Loaded dCellAligner model ready for inference or further training.
+    :rtype: torch.nn.Module
+    """
+    if device is None:
+        device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+    
+    # Load checkpoint
+    checkpoint = torch.load(checkpoint_path, map_location=device)
+    
+    # Handle different checkpoint formats
+    if isinstance(checkpoint, dict):
+        if 'config' in checkpoint and 'state_dict' in checkpoint:
+            # New format with config
+            config = checkpoint['config']
+            state_dict = checkpoint['state_dict']
+            
+            # Create model with saved config
+            model = dCellAlignerNetwork(**config)
+            model.load_state_dict(state_dict)
+            
+            print(f"Loaded Deep CellAligner model from {checkpoint_path}")
+            print(f"Config: {config}")
+            
+        elif 'state_dict' in checkpoint:
+            # Old format with just state_dict
+            print("Warning: Loading checkpoint without config. You'll need to specify model parameters manually.")
+            return checkpoint['state_dict']
+        else:
+            # Assume checkpoint is a bare state_dict
+            print("Warning: Loading bare state_dict. You'll need to specify model parameters manually.")
+            return checkpoint
+    else:
+        print("Warning: Unknown checkpoint format.")
+        return checkpoint
+    
+    # Move to device
+    model = model.to(device)
+    
+    return model
+
+
+def extract_embeddings(model, data, batch_size=64, device=None, process_info_path=None, channel=None):
+    """
+    Extract latent embeddings from a trained Deep CellAligner model.
+
+    Processes input data through the feature extractor to obtain latent 
+    embeddings. Supports CellAligner_Cell objects, NumPy arrays of images, 
+    PyTorch datasets, and PairedDatasets as inputs.
+
+    :param model: Trained dCellAligner model with a feature_extractor attribute.
+    :type model: torch.nn.Module
+    :param data: Input data to extract embeddings from. Can be:
+        - PairedDataset
+        - PyTorch Dataset
+        - List of CellAligner_Cell objects
+        - NumPy array with shape (N, H, W, 3) or (H, W, 3)
+    :type data: list, tuple, numpy.ndarray, torch.utils.data.Dataset, or PairedDataset
+    :param batch_size: Batch size for processing. Default is 64.
+    :type batch_size: int, optional
+    :param device: Device to run computation on. If None, uses model's current device.
+    :type device: torch.device, optional
+    :param process_info_path: Path to the saved cell image processing JSON or the directory containing it.
+        Used when ``data`` contains CellAligner_Cell objects.
+    :type process_info_path: str or None, optional
+    :param channel: Channel name to use when ``data`` contains CellAligner_Cell objects or file paths.
+    :type channel: str or None, optional
+    :returns: Extracted embeddings of shape (N, embedding_size) where N is the 
+        number of input images.
+    :rtype: numpy.ndarray
+    """
+    if device is None:
+        device = next(model.parameters()).device
+    
+    model.eval()
+    embeddings = []
+
+    data = _as_sequence_if_object_array(data)
+
+    processing_info = _load_cell_image_processing_info(process_info_path)
+    
+    if isinstance(data, PairedDataset):
+        _, data = _paired_dataset_to_indexed_image_dataset(data)
+    if hasattr(data, '__getitem__') and hasattr(data, '__len__') and isinstance(data, Dataset):
+        loader = DataLoader(data, batch_size=batch_size, shuffle=False)
+        with torch.no_grad():
+            for batch in tqdm(loader, desc="Extracting embeddings"):
+                images = _batch_to_tensor(batch, device)
+                feats = model.feature_extractor(images)
+                embeddings.append(feats.cpu().numpy())
+        return np.concatenate(embeddings, axis=0)
+
+    if isinstance(data, (list, tuple)):
+        if data and (_is_cellaligner_cell_like(data[0]) or isinstance(data[0], str)):
+            if process_info_path is None:
+                raise ValueError("process_info_path must be provided when data contains CellAligner_Cell objects or file paths.")
+            data = [_prepare_cellaligner_image(cell_object, channel=channel, processing_info=processing_info) for cell_object in data]
+            data = np.stack(data, axis=0)
+        else:
+            raise TypeError('data must be a NumPy array, Dataset, PairedDataset, or a sequence of CellAligner_Cell objects')
+
+    if data.ndim == 3:
+        data = data[np.newaxis, ...]
+
+    n_images = data.shape[0]
+
+    with torch.no_grad():
+        for i in tqdm(range(0, n_images, batch_size), desc="Extracting embeddings"):
+            batch_end = min(i + batch_size, n_images)
+            batch_images = data[i:batch_end]
+            batch_tensor = _batch_to_tensor(batch_images, device)
+            feats = model.feature_extractor(batch_tensor)
+            embeddings.append(feats.cpu().numpy())
+
+    return np.concatenate(embeddings, axis=0)
+
+
+def predict_distances(model, data, batch_size=64, device=None, process_info_path=None, channel=None):
+    """
+    Predict distances from a trained Deep CellAligner model.
+
+    Extracts embeddings for all unique images in the input data and computes 
+    pairwise distances. Supports CellAligner_Cell objects, NumPy arrays of images, 
+    PyTorch datasets, and PairedDatasets as inputs.
+
+    :param model: Trained dCellAligner model with a feature_extractor attribute.
+    :type model: torch.nn.Module
+    :param data: Input data to extract embeddings from. Can be:
+        - PairedDataset
+        - PyTorch Dataset
+        - List of CellAligner_Cell objects
+        - NumPy array with shape (N, H, W, 3) or (H, W, 3)
+    :type data: PairedDataset, Dataset, numpy.ndarray, list, or tuple
+    :param batch_size: Batch size for processing embeddings. Default is 64.
+    :type batch_size: int, optional
+    :param device: Device to run computation on. If None, uses model's current device.
+    :type device: torch.device, optional
+    :param process_info_path: Path to the saved cell image processing JSON or the directory containing it.
+        Used when ``data`` contains CellAligner_Cell objects.
+    :type process_info_path: str or None, optional
+    :param channel: Channel name to use when ``data`` contains CellAligner_Cell objects or file paths.
+    :type channel: str or None, optional
+    :returns: If ``data`` is a PairedDataset, returns distances of shape ``(len(data),)`` corresponding
+        to each pair. Otherwise returns a square distance matrix of shape ``(N, N)`` for the
+        ``N`` input images, with zeros on the diagonal.
+    :rtype: numpy.ndarray
+    """
+    if device is None:
+        device = next(model.parameters()).device
+    
+    data = _as_sequence_if_object_array(data)
+    processing_info = _load_cell_image_processing_info(process_info_path)
+
+    if isinstance(data, PairedDataset):
+        paired_dataset = data
+        unique_indices, data = _paired_dataset_to_indexed_image_dataset(paired_dataset)
+        print(f"Extracting embeddings for {len(unique_indices)} unique images...")
+        embeddings = extract_embeddings(model, data, batch_size=batch_size, device=device)
+
+        index_to_embedding = {img_idx: emb_idx for emb_idx, img_idx in enumerate(unique_indices)}
+        predicted_distances = []
+
+        print(f"Computing distances for {len(paired_dataset.image_pairs)} pairs...")
+        for pair in tqdm(paired_dataset.image_pairs, desc="Computing pairwise distances"):
+            idx1, idx2 = pair
+            emb1 = embeddings[index_to_embedding[idx1]]
+            emb2 = embeddings[index_to_embedding[idx2]]
+            predicted_distances.append(np.sum((emb1 - emb2) ** 2))
+
+        return np.array(predicted_distances)
+
+    if isinstance(data, (list, tuple)) and data and (_is_cellaligner_cell_like(data[0]) or isinstance(data[0], str)):
+        if process_info_path is None:
+            raise ValueError("process_info_path must be provided when data contains CellAligner_Cell objects or file paths.")
+        data = [_prepare_cellaligner_image(cell_object, channel=channel, processing_info=processing_info) for cell_object in data]
+        data = np.stack(data, axis=0)
+
+    print(f"Extracting embeddings for {len(data)} images...")
+    embeddings = extract_embeddings(model, data, batch_size=batch_size, device=device)
+
+    if len(embeddings) == 0:
+        return np.zeros((0, 0), dtype=embeddings.dtype)
+
+    print(f"Computing distance matrix for {len(embeddings)} embeddings:")
+    diff = embeddings[:, np.newaxis, :] - embeddings[np.newaxis, :, :]
+    return np.sum(diff ** 2, axis=2)
+
+
+def plot_distance_predictions(model, paired_dataset, batch_size=64, device=None, figsize=(8, 8), 
+                             return_plot=False, title=None, alpha=0.6, s=20):
+    """
+    Plot predicted vs true distances for a PairedDataset.
+
+    Creates a scatter plot comparing model predictions against ground truth 
+    distances with a diagonal reference line and correlation metrics.
+
+    :param model: Trained dCellAligner model with a feature_extractor attribute.
+    :type model: torch.nn.Module
+    :param paired_dataset: Dataset containing paired images with known distances.
+    :type paired_dataset: PairedDataset
+    :param batch_size: Batch size for processing embeddings. Default is 64.
+    :type batch_size: int, optional
+    :param device: Device to run computation on. If None, uses model's current device.
+    :type device: torch.device, optional
+    :param figsize: Figure size as (width, height). Default is (8, 8).
+    :type figsize: tuple, optional
+    :param return_plot: Whether to return the matplotlib figure and axes objects. Default is False.
+    :type return_plot: bool, optional
+    :param title: Custom title for the plot. If None, uses default with correlation metrics.
+    :type title: str, optional
+    :param alpha: Transparency of scatter points. Default is 0.6.
+    :type alpha: float, optional
+    :param s: Size of scatter points. Default is 20.
+    :type s: int, optional
+    :returns: If return_plot is False: displays the plot and returns None.
+        If return_plot is True: returns (fig, ax) matplotlib objects.
+    :rtype: None or tuple
+    """
+    # Get predictions
+    predicted_distances = predict_distances(model, paired_dataset, batch_size=batch_size, device=device)
+    true_distances = np.array(paired_dataset.distances)
+    
+    try:
+        import matplotlib.pyplot as plt
+        import seaborn as sns
+        
+        # Create the plot
+        fig, ax = plt.subplots(figsize=figsize)
+        
+        # Scatter plot
+        sns.scatterplot(x=true_distances, y=predicted_distances, alpha=alpha, s=s, ax=ax)
+        
+        # Add diagonal reference line
+        min_val = min(true_distances.min(), predicted_distances.min())
+        max_val = max(true_distances.max(), predicted_distances.max())
+        ax.plot([min_val, max_val], [min_val, max_val], 'r--', alpha=0.8, linewidth=2, label='Perfect prediction')
+        
+        # Labels and title
+        ax.set_xlabel('True Distances')
+        ax.set_ylabel('Predicted Distances')
+        
+        if title:
+            ax.set_title(title)
+        
+        # Grid and legend
+        ax.grid(True, alpha=0.3)
+        ax.legend()
+        
+        if return_plot:
+            return fig, ax
+        else:
+            plt.show()
+            return None
+            
+    except ImportError:
+        print("Matplotlib/Seaborn not available for plotting")
+        return None if not return_plot else (None, None)
+
+
+def plot_reconstruction_comparison(model, paired_dataset, n_cells=5, device=None, figsize=None, seed=None):
+    """
+    Plot comparison of original mapped protein distributions vs model reconstructions.
+
+    Randomly selects cell images from the dataset, shows the original mapped 
+    protein distributions in the top row and their reconstructions from the model in 
+    the bottom row.
+
+    :param model: Trained dCellAligner model with reconstruction capabilities.
+    :type model: torch.nn.Module
+    :param paired_dataset: Dataset containing paired images for reconstruction.
+    :type paired_dataset: PairedDataset
+    :param n_cells: Number of image pairs to display. Default is 5.
+    :type n_cells: int, optional
+    :param device: Device to run model on. If None, uses model's current device.
+    :type device: torch.device, optional
+    :param figsize: Figure size as (width, height). If None, automatically calculated 
+        based on number of images.
+    :type figsize: tuple, optional
+    :param seed: Random seed for reproducible image selection. Default is None.
+    :type seed: int, optional
+    :returns: None. Displays the plot using matplotlib.
+    :rtype: None
+    """
+    if device is None:
+        device = next(model.parameters()).device
+    
+    # Set random seed if provided
+    if seed is not None:
+        np.random.seed(seed)
+    
+    # Get unique image indices from the dataset pairs
+    all_image_indices = set()
+    for pair in paired_dataset.image_pairs:
+        all_image_indices.update(pair)
+    all_image_indices = list(all_image_indices)
+    
+    # Randomly select unique image indices
+    selected_image_indices = np.random.choice(all_image_indices, size=min(n_cells, len(all_image_indices)), replace=False)
+    
+    # Set up the plot
+    if figsize is None:
+        figsize = (3 * n_cells, 6)
+    
+    try:
+        import matplotlib.pyplot as plt
+        
+        fig, axes = plt.subplots(2, n_cells, figsize=figsize)
+        if n_cells == 1:
+            axes = axes.reshape(2, 1)
+        
+        model.eval()
+        
+        with torch.no_grad():
+            for i, img_idx in enumerate(selected_image_indices):
+                # Load the specific image directly by constructing the path
+                img_path = os.path.join(paired_dataset.image_dir, f"cell_{img_idx}.npy")
+                mapped_img_path = os.path.join(paired_dataset.mapped_image_dir, f"mapped_cell_{img_idx}.npy")
+                
+                # Load the numpy arrays
+                image = np.load(img_path)
+                mapped_image = np.load(mapped_img_path)
+                
+                # Apply transforms if they exist
+                if paired_dataset.transform is not None:
+                    image = paired_dataset.transform(image)
+                    mapped_image = paired_dataset.transform(mapped_image)
+                
+                # Convert to tensor and add batch dimension
+                if isinstance(image, np.ndarray):
+                    # Convert from (H, W, C) to (1, C, H, W)
+                    image_tensor = torch.from_numpy(image).permute(2, 0, 1).unsqueeze(0).float().to(device)
+                else:
+                    # Already a tensor, just add batch dimension and ensure correct device
+                    image_tensor = image.unsqueeze(0).to(device)
+                
+                # Get reconstruction from model
+                _, reconstruction, _ = model(image_tensor, image_tensor)
+                
+                # Extract protein channel (channel 0)
+                if isinstance(mapped_image, np.ndarray):
+                    original_protein = mapped_image[:, :, 0]  # Protein channel
+                else:
+                    original_protein = mapped_image[0].cpu().numpy()  # Protein channel
+                
+                reconstructed_protein = reconstruction[0, 0].cpu().numpy()  # First batch, first (protein) channel
+                
+                # Plot original protein (top row)
+                im1 = axes[0, i].imshow(original_protein, cmap='viridis')
+                axes[0, i].set_title(f'Original Cell {img_idx}')
+                axes[0, i].axis('off')
+                
+                # Plot reconstructed protein (bottom row)
+                im2 = axes[1, i].imshow(reconstructed_protein, cmap='viridis')
+                axes[1, i].set_title(f'Reconstructed Cell {img_idx}')
+                axes[1, i].axis('off')
+        
+        plt.tight_layout()
+        plt.show()
+        
+    except ImportError:
+        print("Matplotlib not available for plotting")
+        return
+    
+    except Exception as e:
+        print(f"Error creating plot: {e}")
+        return
+
+
+def deep_map_to_anchor_cell(model, data, batch_size=64, device=None, process_info_path=None, channel=None):
+    """
+    Approximate anchor-cell mapping with a trained dCellAligner model.
+
+    This function mirrors the role of ``map_to_anchor_cell``, but instead of 
+    directly computing a GW/FGW mappings to the anchor cell it uses a trained 
+    dCellAligner model to infer the mapped single cell images. Supports 
+    CellAligner_Cell objects, NumPy arrays of images, PyTorch datasets, and 
+    PairedDatasets as inputs.
+
+    :param model: Trained dCellAligner model.
+    :type model: torch.nn.Module
+    :param data: Input data to extract embeddings from. Can be:
+        - PairedDataset
+        - PyTorch Dataset
+        - List of CellAligner_Cell objects
+        - NumPy array with shape (N, H, W, 3) or (H, W, 3)
+    :type data: PairedDataset, Dataset, numpy.ndarray, list, or tuple
+    :param batch_size: Number of prepared images to process per forward pass. Default is 64.
+    :type batch_size: int
+    :param device: Device to run inference on. If None, uses the model's device.
+    :type device: torch.device or None
+    :param process_info_path: Path to the saved cell image processing JSON or the directory containing it.
+        Used when ``data`` contains CellAligner_Cell objects.
+    :type process_info_path: str or None, optional
+    :param channel: Channel name to use when ``data`` contains CellAligner_Cell objects or file paths.
+    :type channel: str or None, optional
+    :return: Array of mapped protein images with shape (N, H, W).
+    :rtype: numpy.ndarray
+    """
+    if device is None:
+        device = next(model.parameters()).device
+
+    data = _as_sequence_if_object_array(data)
+    processing_info = _load_cell_image_processing_info(process_info_path)
+
+    if isinstance(data, PairedDataset):
+        if not hasattr(data, 'image_pairs') or not hasattr(data, 'image_dir'):
+            raise TypeError('PairedDataset input must define image_pairs and image_dir')
+
+        _, data = _paired_dataset_to_indexed_image_dataset(data)
+    if isinstance(data, Dataset):
+        loader = DataLoader(data, batch_size=batch_size, shuffle=False)
+        mapped_images = []
+        with torch.no_grad():
+            for batch in tqdm(loader, desc='Mapping cells'):
+                batch_tensor = _batch_to_tensor(batch, device)
+                _, reconstructed, _ = model(batch_tensor, batch_tensor)
+                mapped_images.append(reconstructed[:, 0, :, :].cpu().numpy())
+
+        return np.concatenate(mapped_images, axis=0)
+    else:
+        prepared_images = None
+        if isinstance(data, np.ndarray) and data.dtype != object:
+            prepared_images = data
+        else:
+            if not isinstance(data, (list, tuple)):
+                data = [data]
+            else:
+                data = _as_sequence_if_object_array(data)
+
+            if data and (_is_cellaligner_cell_like(data[0]) or isinstance(data[0], str)):
+                if process_info_path is None:
+                    raise ValueError("process_info_path must be provided when data contains CellAligner_Cell objects or file paths.")
+                prepared_images = [_prepare_cellaligner_image(cell_object, channel=channel, processing_info=processing_info) for cell_object in data]
+                prepared_images = np.stack(prepared_images, axis=0)
+            else:
+                raise TypeError('data must be a NumPy array, Dataset, PairedDataset, or a sequence of CellAligner_Cell objects')
+    model.eval()
+    mapped_images = []
+    with torch.no_grad():
+        for start_i in tqdm(range(0, len(prepared_images), batch_size), desc='Mapping cells'):
+            batch_images = prepared_images[start_i:start_i + batch_size]
+            batch_tensor = _batch_to_tensor(batch_images, device)
+            _, reconstructed, _ = model(batch_tensor, batch_tensor)
+            mapped_images.append(reconstructed[:, 0, :, :].cpu().numpy())
+
+    return np.concatenate(mapped_images, axis=0)
+    
+
+def generate_dataset_split_pairs(indices, n_pairs, proportions=None, seed=None):
+    """
+    Generate cell pairs for Deep CellAligner dataset splits.
+    
+    Creates stratified cell pairs for deep learning model training. Supports both 
+    random sampling across all cells and stratified sampling from predefined groups 
+    to ensure balanced representation across train/validation/test splits.
+    
+    :param indices: List of available cell indices corresponding to processed cell images.
+    :type indices: list or array-like
+    :param n_pairs: N-length list specifying number of pairs to generate for each dataset split.
+        Typically [n_train_pairs, n_val_pairs, n_test_pairs].
+    :type n_pairs: list of int
+    :param proportions: N-length list of proportions that sum to 1.0 for stratified sampling.
+        If provided, cell indices are split into N groups according to these 
+        proportions, and pairs are drawn only within each group. This ensures
+        train/val/test sets use disjoint cell populations. If None, all pairs 
+        are drawn randomly from all available cells. Default is None.
+    :type proportions: list of float, optional
+    :param seed: Random seed for reproducible dataset splits. Default is None.
+    :type seed: int, optional
+    :returns: N-length list where each element is a 2D array of shape (n_pairs, 2) 
+        containing cell index pairs for each dataset split (train, val, test).
+    :rtype: list of numpy.ndarray
+    """
+    if seed is not None:
+        np.random.seed(seed)
+    
+    indices = np.array(indices)
+    n_groups = len(n_pairs)  # Number of dataset splits (train, val, test)
+    
+    if proportions is not None:
+        if len(proportions) != n_groups:
+            raise ValueError(f"Length of proportions ({len(proportions)}) must match length of n_pairs ({n_groups})")
+        
+        if not np.isclose(sum(proportions), 1.0, rtol=1e-5):
+            raise ValueError(f"Proportions must sum to 1.0, got {sum(proportions)}")
+        
+        # Split cell indices into disjoint groups for train/val/test
+        np.random.shuffle(indices)  # Randomize cell order first
+        n_total = len(indices)
+        
+        group_indices = []
+        start_idx = 0
+        
+        for i, prop in enumerate(proportions[:-1]):  # Handle all but last group
+            group_size = int(np.round(prop * n_total))
+            end_idx = start_idx + group_size
+            group_indices.append(indices[start_idx:end_idx])
+            start_idx = end_idx
+        
+        # Last group gets remaining indices
+        group_indices.append(indices[start_idx:])
+        
+        # Generate pairs within each disjoint cell group (train, val, test)
+        paired_arrays = []
+        for i, group_inds in enumerate(group_indices):
+            n_pairs_for_group = n_pairs[i]
+            if len(group_inds) < 2:
+                raise ValueError(f"Dataset split {i} has only {len(group_inds)} cells, need at least 2 to generate pairs")
+            
+            pairs = get_random_pairs(group_inds, n_pairs_for_group)
+            paired_arrays.append(pairs)
+    
+    else:
+        # Generate all pairs randomly from all cells (overlapping populations)
+        paired_arrays = []
+        for n_pairs_for_group in n_pairs:
+            pairs = get_random_pairs(indices, n_pairs_for_group)
+            paired_arrays.append(pairs)
+    
+    return paired_arrays
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