├── Mobility Analysis
    └── Mobility Data Analysis.ipynb
└── Recommendation
    └── MovieLens_Youtube_Recommendation_Candidate_Generation_Network.ipynb


/Mobility Analysis/Mobility Data Analysis.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |  "cells": [
   3 |   {
   4 |    "cell_type": "code",
   5 |    "execution_count": 1,
   6 |    "metadata": {},
   7 |    "outputs": [
   8 |     {
   9 |      "name": "stderr",
  10 |      "output_type": "stream",
  11 |      "text": [
  12 |       "/anaconda3/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3020: DtypeWarning: Columns (3) have mixed types. Specify dtype option on import or set low_memory=False.\n",
  13 |       "  interactivity=interactivity, compiler=compiler, result=result)\n"
  14 |      ]
  15 |     }
  16 |    ],
  17 |    "source": [
  18 |     "#Download the data from Google Mobility Site\n",
  19 |     "#https://www.google.com/covid19/mobility/\n",
  20 |     "import pandas as pd\n",
  21 |     "validata=pd.read_csv('/Users/Downloads/Global_Mobility_Report.csv')"
  22 |    ]
  23 |   },
  24 |   {
  25 |    "cell_type": "code",
  26 |    "execution_count": 31,
  27 |    "metadata": {},
  28 |    "outputs": [
  29 |     {
  30 |      "data": {
  31 |       "text/html": [
  32 |        "<div>\n",
  33 |        "<style scoped>\n",
  34 |        "    .dataframe tbody tr th:only-of-type {\n",
  35 |        "        vertical-align: middle;\n",
  36 |        "    }\n",
  37 |        "\n",
  38 |        "    .dataframe tbody tr th {\n",
  39 |        "        vertical-align: top;\n",
  40 |        "    }\n",
  41 |        "\n",
  42 |        "    .dataframe thead th {\n",
  43 |        "        text-align: right;\n",
  44 |        "    }\n",
  45 |        "</style>\n",
  46 |        "<table border=\"1\" class=\"dataframe\">\n",
  47 |        "  <thead>\n",
  48 |        "    <tr style=\"text-align: right;\">\n",
  49 |        "      <th></th>\n",
  50 |        "      <th>country_region_code</th>\n",
  51 |        "      <th>country_region</th>\n",
  52 |        "      <th>sub_region_1</th>\n",
  53 |        "      <th>sub_region_2</th>\n",
  54 |        "      <th>date</th>\n",
  55 |        "      <th>retail_and_recreation_percent_change_from_baseline</th>\n",
  56 |        "      <th>grocery_and_pharmacy_percent_change_from_baseline</th>\n",
  57 |        "      <th>parks_percent_change_from_baseline</th>\n",
  58 |        "      <th>transit_stations_percent_change_from_baseline</th>\n",
  59 |        "      <th>workplaces_percent_change_from_baseline</th>\n",
  60 |        "      <th>residential_percent_change_from_baseline</th>\n",
  61 |        "    </tr>\n",
  62 |        "  </thead>\n",
  63 |        "  <tbody>\n",
  64 |        "    <tr>\n",
  65 |        "      <th>0</th>\n",
  66 |        "      <td>AE</td>\n",
  67 |        "      <td>United Arab Emirates</td>\n",
  68 |        "      <td>NaN</td>\n",
  69 |        "      <td>NaN</td>\n",
  70 |        "      <td>2020-02-15</td>\n",
  71 |        "      <td>0.0</td>\n",
  72 |        "      <td>4.0</td>\n",
  73 |        "      <td>5.0</td>\n",
  74 |        "      <td>0.0</td>\n",
  75 |        "      <td>2.0</td>\n",
  76 |        "      <td>1.0</td>\n",
  77 |        "    </tr>\n",
  78 |        "    <tr>\n",
  79 |        "      <th>1</th>\n",
  80 |        "      <td>AE</td>\n",
  81 |        "      <td>United Arab Emirates</td>\n",
  82 |        "      <td>NaN</td>\n",
  83 |        "      <td>NaN</td>\n",
  84 |        "      <td>2020-02-16</td>\n",
  85 |        "      <td>1.0</td>\n",
  86 |        "      <td>4.0</td>\n",
  87 |        "      <td>4.0</td>\n",
  88 |        "      <td>1.0</td>\n",
  89 |        "      <td>2.0</td>\n",
  90 |        "      <td>1.0</td>\n",
  91 |        "    </tr>\n",
  92 |        "    <tr>\n",
  93 |        "      <th>2</th>\n",
  94 |        "      <td>AE</td>\n",
  95 |        "      <td>United Arab Emirates</td>\n",
  96 |        "      <td>NaN</td>\n",
  97 |        "      <td>NaN</td>\n",
  98 |        "      <td>2020-02-17</td>\n",
  99 |        "      <td>-1.0</td>\n",
 100 |        "      <td>1.0</td>\n",
 101 |        "      <td>5.0</td>\n",
 102 |        "      <td>1.0</td>\n",
 103 |        "      <td>2.0</td>\n",
 104 |        "      <td>1.0</td>\n",
 105 |        "    </tr>\n",
 106 |        "    <tr>\n",
 107 |        "      <th>3</th>\n",
 108 |        "      <td>AE</td>\n",
 109 |        "      <td>United Arab Emirates</td>\n",
 110 |        "      <td>NaN</td>\n",
 111 |        "      <td>NaN</td>\n",
 112 |        "      <td>2020-02-18</td>\n",
 113 |        "      <td>-2.0</td>\n",
 114 |        "      <td>1.0</td>\n",
 115 |        "      <td>5.0</td>\n",
 116 |        "      <td>0.0</td>\n",
 117 |        "      <td>2.0</td>\n",
 118 |        "      <td>1.0</td>\n",
 119 |        "    </tr>\n",
 120 |        "    <tr>\n",
 121 |        "      <th>4</th>\n",
 122 |        "      <td>AE</td>\n",
 123 |        "      <td>United Arab Emirates</td>\n",
 124 |        "      <td>NaN</td>\n",
 125 |        "      <td>NaN</td>\n",
 126 |        "      <td>2020-02-19</td>\n",
 127 |        "      <td>-2.0</td>\n",
 128 |        "      <td>0.0</td>\n",
 129 |        "      <td>4.0</td>\n",
 130 |        "      <td>-1.0</td>\n",
 131 |        "      <td>2.0</td>\n",
 132 |        "      <td>1.0</td>\n",
 133 |        "    </tr>\n",
 134 |        "    <tr>\n",
 135 |        "      <th>5</th>\n",
 136 |        "      <td>AE</td>\n",
 137 |        "      <td>United Arab Emirates</td>\n",
 138 |        "      <td>NaN</td>\n",
 139 |        "      <td>NaN</td>\n",
 140 |        "      <td>2020-02-20</td>\n",
 141 |        "      <td>-2.0</td>\n",
 142 |        "      <td>1.0</td>\n",
 143 |        "      <td>6.0</td>\n",
 144 |        "      <td>1.0</td>\n",
 145 |        "      <td>1.0</td>\n",
 146 |        "      <td>1.0</td>\n",
 147 |        "    </tr>\n",
 148 |        "    <tr>\n",
 149 |        "      <th>6</th>\n",
 150 |        "      <td>AE</td>\n",
 151 |        "      <td>United Arab Emirates</td>\n",
 152 |        "      <td>NaN</td>\n",
 153 |        "      <td>NaN</td>\n",
 154 |        "      <td>2020-02-21</td>\n",
 155 |        "      <td>-3.0</td>\n",
 156 |        "      <td>2.0</td>\n",
 157 |        "      <td>6.0</td>\n",
 158 |        "      <td>0.0</td>\n",
 159 |        "      <td>-1.0</td>\n",
 160 |        "      <td>1.0</td>\n",
 161 |        "    </tr>\n",
 162 |        "    <tr>\n",
 163 |        "      <th>7</th>\n",
 164 |        "      <td>AE</td>\n",
 165 |        "      <td>United Arab Emirates</td>\n",
 166 |        "      <td>NaN</td>\n",
 167 |        "      <td>NaN</td>\n",
 168 |        "      <td>2020-02-22</td>\n",
 169 |        "      <td>-2.0</td>\n",
 170 |        "      <td>2.0</td>\n",
 171 |        "      <td>4.0</td>\n",
 172 |        "      <td>-2.0</td>\n",
 173 |        "      <td>3.0</td>\n",
 174 |        "      <td>1.0</td>\n",
 175 |        "    </tr>\n",
 176 |        "    <tr>\n",
 177 |        "      <th>8</th>\n",
 178 |        "      <td>AE</td>\n",
 179 |        "      <td>United Arab Emirates</td>\n",
 180 |        "      <td>NaN</td>\n",
 181 |        "      <td>NaN</td>\n",
 182 |        "      <td>2020-02-23</td>\n",
 183 |        "      <td>-1.0</td>\n",
 184 |        "      <td>3.0</td>\n",
 185 |        "      <td>3.0</td>\n",
 186 |        "      <td>-1.0</td>\n",
 187 |        "      <td>4.0</td>\n",
 188 |        "      <td>1.0</td>\n",
 189 |        "    </tr>\n",
 190 |        "    <tr>\n",
 191 |        "      <th>9</th>\n",
 192 |        "      <td>AE</td>\n",
 193 |        "      <td>United Arab Emirates</td>\n",
 194 |        "      <td>NaN</td>\n",
 195 |        "      <td>NaN</td>\n",
 196 |        "      <td>2020-02-24</td>\n",
 197 |        "      <td>-3.0</td>\n",
 198 |        "      <td>0.0</td>\n",
 199 |        "      <td>5.0</td>\n",
 200 |        "      <td>-1.0</td>\n",
 201 |        "      <td>3.0</td>\n",
 202 |        "      <td>1.0</td>\n",
 203 |        "    </tr>\n",
 204 |        "  </tbody>\n",
 205 |        "</table>\n",
 206 |        "</div>"
 207 |       ],
 208 |       "text/plain": [
 209 |        "  country_region_code        country_region sub_region_1 sub_region_2  \\\n",
 210 |        "0                  AE  United Arab Emirates          NaN          NaN   \n",
 211 |        "1                  AE  United Arab Emirates          NaN          NaN   \n",
 212 |        "2                  AE  United Arab Emirates          NaN          NaN   \n",
 213 |        "3                  AE  United Arab Emirates          NaN          NaN   \n",
 214 |        "4                  AE  United Arab Emirates          NaN          NaN   \n",
 215 |        "5                  AE  United Arab Emirates          NaN          NaN   \n",
 216 |        "6                  AE  United Arab Emirates          NaN          NaN   \n",
 217 |        "7                  AE  United Arab Emirates          NaN          NaN   \n",
 218 |        "8                  AE  United Arab Emirates          NaN          NaN   \n",
 219 |        "9                  AE  United Arab Emirates          NaN          NaN   \n",
 220 |        "\n",
 221 |        "         date  retail_and_recreation_percent_change_from_baseline  \\\n",
 222 |        "0  2020-02-15                                                0.0    \n",
 223 |        "1  2020-02-16                                                1.0    \n",
 224 |        "2  2020-02-17                                               -1.0    \n",
 225 |        "3  2020-02-18                                               -2.0    \n",
 226 |        "4  2020-02-19                                               -2.0    \n",
 227 |        "5  2020-02-20                                               -2.0    \n",
 228 |        "6  2020-02-21                                               -3.0    \n",
 229 |        "7  2020-02-22                                               -2.0    \n",
 230 |        "8  2020-02-23                                               -1.0    \n",
 231 |        "9  2020-02-24                                               -3.0    \n",
 232 |        "\n",
 233 |        "   grocery_and_pharmacy_percent_change_from_baseline  \\\n",
 234 |        "0                                                4.0   \n",
 235 |        "1                                                4.0   \n",
 236 |        "2                                                1.0   \n",
 237 |        "3                                                1.0   \n",
 238 |        "4                                                0.0   \n",
 239 |        "5                                                1.0   \n",
 240 |        "6                                                2.0   \n",
 241 |        "7                                                2.0   \n",
 242 |        "8                                                3.0   \n",
 243 |        "9                                                0.0   \n",
 244 |        "\n",
 245 |        "   parks_percent_change_from_baseline  \\\n",
 246 |        "0                                 5.0   \n",
 247 |        "1                                 4.0   \n",
 248 |        "2                                 5.0   \n",
 249 |        "3                                 5.0   \n",
 250 |        "4                                 4.0   \n",
 251 |        "5                                 6.0   \n",
 252 |        "6                                 6.0   \n",
 253 |        "7                                 4.0   \n",
 254 |        "8                                 3.0   \n",
 255 |        "9                                 5.0   \n",
 256 |        "\n",
 257 |        "   transit_stations_percent_change_from_baseline  \\\n",
 258 |        "0                                            0.0   \n",
 259 |        "1                                            1.0   \n",
 260 |        "2                                            1.0   \n",
 261 |        "3                                            0.0   \n",
 262 |        "4                                           -1.0   \n",
 263 |        "5                                            1.0   \n",
 264 |        "6                                            0.0   \n",
 265 |        "7                                           -2.0   \n",
 266 |        "8                                           -1.0   \n",
 267 |        "9                                           -1.0   \n",
 268 |        "\n",
 269 |        "   workplaces_percent_change_from_baseline  \\\n",
 270 |        "0                                      2.0   \n",
 271 |        "1                                      2.0   \n",
 272 |        "2                                      2.0   \n",
 273 |        "3                                      2.0   \n",
 274 |        "4                                      2.0   \n",
 275 |        "5                                      1.0   \n",
 276 |        "6                                     -1.0   \n",
 277 |        "7                                      3.0   \n",
 278 |        "8                                      4.0   \n",
 279 |        "9                                      3.0   \n",
 280 |        "\n",
 281 |        "   residential_percent_change_from_baseline  \n",
 282 |        "0                                       1.0  \n",
 283 |        "1                                       1.0  \n",
 284 |        "2                                       1.0  \n",
 285 |        "3                                       1.0  \n",
 286 |        "4                                       1.0  \n",
 287 |        "5                                       1.0  \n",
 288 |        "6                                       1.0  \n",
 289 |        "7                                       1.0  \n",
 290 |        "8                                       1.0  \n",
 291 |        "9                                       1.0  "
 292 |       ]
 293 |      },
 294 |      "execution_count": 31,
 295 |      "metadata": {},
 296 |      "output_type": "execute_result"
 297 |     }
 298 |    ],
 299 |    "source": [
 300 |     "validata.head(10)"
 301 |    ]
 302 |   },
 303 |   {
 304 |    "cell_type": "code",
 305 |    "execution_count": 3,
 306 |    "metadata": {},
 307 |    "outputs": [],
 308 |    "source": [
 309 |     "def display_all(df):\n",
 310 |     "    with pd.option_context(\"display.max_rows\", 1000, \"display.max_columns\", 1000): \n",
 311 |     "        display(df)"
 312 |    ]
 313 |   },
 314 |   {
 315 |    "cell_type": "code",
 316 |    "execution_count": 4,
 317 |    "metadata": {},
 318 |    "outputs": [
 319 |     {
 320 |      "data": {
 321 |       "text/plain": [
 322 |        "['country_region_code',\n",
 323 |        " 'country_region',\n",
 324 |        " 'sub_region_1',\n",
 325 |        " 'sub_region_2',\n",
 326 |        " 'date',\n",
 327 |        " 'retail_and_recreation_percent_change_from_baseline',\n",
 328 |        " 'grocery_and_pharmacy_percent_change_from_baseline',\n",
 329 |        " 'parks_percent_change_from_baseline',\n",
 330 |        " 'transit_stations_percent_change_from_baseline',\n",
 331 |        " 'workplaces_percent_change_from_baseline',\n",
 332 |        " 'residential_percent_change_from_baseline']"
 333 |       ]
 334 |      },
 335 |      "execution_count": 4,
 336 |      "metadata": {},
 337 |      "output_type": "execute_result"
 338 |     }
 339 |    ],
 340 |    "source": [
 341 |     "validata.columns.tolist()"
 342 |    ]
 343 |   },
 344 |   {
 345 |    "cell_type": "code",
 346 |    "execution_count": 5,
 347 |    "metadata": {},
 348 |    "outputs": [],
 349 |    "source": [
 350 |     "validata_aus=validata[validata.country_region == 'Australia']"
 351 |    ]
 352 |   },
 353 |   {
 354 |    "cell_type": "code",
 355 |    "execution_count": 6,
 356 |    "metadata": {},
 357 |    "outputs": [
 358 |     {
 359 |      "data": {
 360 |       "text/html": [
 361 |        "<div>\n",
 362 |        "<style scoped>\n",
 363 |        "    .dataframe tbody tr th:only-of-type {\n",
 364 |        "        vertical-align: middle;\n",
 365 |        "    }\n",
 366 |        "\n",
 367 |        "    .dataframe tbody tr th {\n",
 368 |        "        vertical-align: top;\n",
 369 |        "    }\n",
 370 |        "\n",
 371 |        "    .dataframe thead th {\n",
 372 |        "        text-align: right;\n",
 373 |        "    }\n",
 374 |        "</style>\n",
 375 |        "<table border=\"1\" class=\"dataframe\">\n",
 376 |        "  <thead>\n",
 377 |        "    <tr style=\"text-align: right;\">\n",
 378 |        "      <th></th>\n",
 379 |        "      <th>3818</th>\n",
 380 |        "      <th>3819</th>\n",
 381 |        "      <th>3820</th>\n",
 382 |        "      <th>3821</th>\n",
 383 |        "      <th>3822</th>\n",
 384 |        "    </tr>\n",
 385 |        "  </thead>\n",
 386 |        "  <tbody>\n",
 387 |        "    <tr>\n",
 388 |        "      <th>country_region_code</th>\n",
 389 |        "      <td>AU</td>\n",
 390 |        "      <td>AU</td>\n",
 391 |        "      <td>AU</td>\n",
 392 |        "      <td>AU</td>\n",
 393 |        "      <td>AU</td>\n",
 394 |        "    </tr>\n",
 395 |        "    <tr>\n",
 396 |        "      <th>country_region</th>\n",
 397 |        "      <td>Australia</td>\n",
 398 |        "      <td>Australia</td>\n",
 399 |        "      <td>Australia</td>\n",
 400 |        "      <td>Australia</td>\n",
 401 |        "      <td>Australia</td>\n",
 402 |        "    </tr>\n",
 403 |        "    <tr>\n",
 404 |        "      <th>sub_region_1</th>\n",
 405 |        "      <td>NaN</td>\n",
 406 |        "      <td>NaN</td>\n",
 407 |        "      <td>NaN</td>\n",
 408 |        "      <td>NaN</td>\n",
 409 |        "      <td>NaN</td>\n",
 410 |        "    </tr>\n",
 411 |        "    <tr>\n",
 412 |        "      <th>sub_region_2</th>\n",
 413 |        "      <td>NaN</td>\n",
 414 |        "      <td>NaN</td>\n",
 415 |        "      <td>NaN</td>\n",
 416 |        "      <td>NaN</td>\n",
 417 |        "      <td>NaN</td>\n",
 418 |        "    </tr>\n",
 419 |        "    <tr>\n",
 420 |        "      <th>date</th>\n",
 421 |        "      <td>2020-02-15</td>\n",
 422 |        "      <td>2020-02-16</td>\n",
 423 |        "      <td>2020-02-17</td>\n",
 424 |        "      <td>2020-02-18</td>\n",
 425 |        "      <td>2020-02-19</td>\n",
 426 |        "    </tr>\n",
 427 |        "    <tr>\n",
 428 |        "      <th>retail_and_recreation_percent_change_from_baseline</th>\n",
 429 |        "      <td>4</td>\n",
 430 |        "      <td>3</td>\n",
 431 |        "      <td>-1</td>\n",
 432 |        "      <td>-3</td>\n",
 433 |        "      <td>-1</td>\n",
 434 |        "    </tr>\n",
 435 |        "    <tr>\n",
 436 |        "      <th>grocery_and_pharmacy_percent_change_from_baseline</th>\n",
 437 |        "      <td>3</td>\n",
 438 |        "      <td>5</td>\n",
 439 |        "      <td>0</td>\n",
 440 |        "      <td>-2</td>\n",
 441 |        "      <td>-1</td>\n",
 442 |        "    </tr>\n",
 443 |        "    <tr>\n",
 444 |        "      <th>parks_percent_change_from_baseline</th>\n",
 445 |        "      <td>-2</td>\n",
 446 |        "      <td>9</td>\n",
 447 |        "      <td>-6</td>\n",
 448 |        "      <td>-13</td>\n",
 449 |        "      <td>-6</td>\n",
 450 |        "    </tr>\n",
 451 |        "    <tr>\n",
 452 |        "      <th>transit_stations_percent_change_from_baseline</th>\n",
 453 |        "      <td>3</td>\n",
 454 |        "      <td>3</td>\n",
 455 |        "      <td>7</td>\n",
 456 |        "      <td>7</td>\n",
 457 |        "      <td>8</td>\n",
 458 |        "    </tr>\n",
 459 |        "    <tr>\n",
 460 |        "      <th>workplaces_percent_change_from_baseline</th>\n",
 461 |        "      <td>3</td>\n",
 462 |        "      <td>-1</td>\n",
 463 |        "      <td>17</td>\n",
 464 |        "      <td>14</td>\n",
 465 |        "      <td>13</td>\n",
 466 |        "    </tr>\n",
 467 |        "    <tr>\n",
 468 |        "      <th>residential_percent_change_from_baseline</th>\n",
 469 |        "      <td>0</td>\n",
 470 |        "      <td>0</td>\n",
 471 |        "      <td>-2</td>\n",
 472 |        "      <td>-1</td>\n",
 473 |        "      <td>-1</td>\n",
 474 |        "    </tr>\n",
 475 |        "  </tbody>\n",
 476 |        "</table>\n",
 477 |        "</div>"
 478 |       ],
 479 |       "text/plain": [
 480 |        "                                                          3818        3819  \\\n",
 481 |        "country_region_code                                         AU          AU   \n",
 482 |        "country_region                                       Australia   Australia   \n",
 483 |        "sub_region_1                                               NaN         NaN   \n",
 484 |        "sub_region_2                                               NaN         NaN   \n",
 485 |        "date                                                2020-02-15  2020-02-16   \n",
 486 |        "retail_and_recreation_percent_change_from_baseline           4           3   \n",
 487 |        "grocery_and_pharmacy_percent_change_from_baseline            3           5   \n",
 488 |        "parks_percent_change_from_baseline                          -2           9   \n",
 489 |        "transit_stations_percent_change_from_baseline                3           3   \n",
 490 |        "workplaces_percent_change_from_baseline                      3          -1   \n",
 491 |        "residential_percent_change_from_baseline                     0           0   \n",
 492 |        "\n",
 493 |        "                                                          3820        3821  \\\n",
 494 |        "country_region_code                                         AU          AU   \n",
 495 |        "country_region                                       Australia   Australia   \n",
 496 |        "sub_region_1                                               NaN         NaN   \n",
 497 |        "sub_region_2                                               NaN         NaN   \n",
 498 |        "date                                                2020-02-17  2020-02-18   \n",
 499 |        "retail_and_recreation_percent_change_from_baseline          -1          -3   \n",
 500 |        "grocery_and_pharmacy_percent_change_from_baseline            0          -2   \n",
 501 |        "parks_percent_change_from_baseline                          -6         -13   \n",
 502 |        "transit_stations_percent_change_from_baseline                7           7   \n",
 503 |        "workplaces_percent_change_from_baseline                     17          14   \n",
 504 |        "residential_percent_change_from_baseline                    -2          -1   \n",
 505 |        "\n",
 506 |        "                                                          3822  \n",
 507 |        "country_region_code                                         AU  \n",
 508 |        "country_region                                       Australia  \n",
 509 |        "sub_region_1                                               NaN  \n",
 510 |        "sub_region_2                                               NaN  \n",
 511 |        "date                                                2020-02-19  \n",
 512 |        "retail_and_recreation_percent_change_from_baseline          -1  \n",
 513 |        "grocery_and_pharmacy_percent_change_from_baseline           -1  \n",
 514 |        "parks_percent_change_from_baseline                          -6  \n",
 515 |        "transit_stations_percent_change_from_baseline                8  \n",
 516 |        "workplaces_percent_change_from_baseline                     13  \n",
 517 |        "residential_percent_change_from_baseline                    -1  "
 518 |       ]
 519 |      },
 520 |      "metadata": {},
 521 |      "output_type": "display_data"
 522 |     }
 523 |    ],
 524 |    "source": [
 525 |     "display_all(validata_aus.head().transpose())"
 526 |    ]
 527 |   },
 528 |   {
 529 |    "cell_type": "code",
 530 |    "execution_count": 7,
 531 |    "metadata": {},
 532 |    "outputs": [
 533 |     {
 534 |      "data": {
 535 |       "text/html": [
 536 |        "<div>\n",
 537 |        "<style scoped>\n",
 538 |        "    .dataframe tbody tr th:only-of-type {\n",
 539 |        "        vertical-align: middle;\n",
 540 |        "    }\n",
 541 |        "\n",
 542 |        "    .dataframe tbody tr th {\n",
 543 |        "        vertical-align: top;\n",
 544 |        "    }\n",
 545 |        "\n",
 546 |        "    .dataframe thead th {\n",
 547 |        "        text-align: right;\n",
 548 |        "    }\n",
 549 |        "</style>\n",
 550 |        "<table border=\"1\" class=\"dataframe\">\n",
 551 |        "  <thead>\n",
 552 |        "    <tr style=\"text-align: right;\">\n",
 553 |        "      <th></th>\n",
 554 |        "      <th>country_region_code</th>\n",
 555 |        "      <th>country_region</th>\n",
 556 |        "      <th>sub_region_1</th>\n",
 557 |        "      <th>sub_region_2</th>\n",
 558 |        "      <th>date</th>\n",
 559 |        "      <th>retail_and_recreation_percent_change_from_baseline</th>\n",
 560 |        "      <th>grocery_and_pharmacy_percent_change_from_baseline</th>\n",
 561 |        "      <th>parks_percent_change_from_baseline</th>\n",
 562 |        "      <th>transit_stations_percent_change_from_baseline</th>\n",
 563 |        "      <th>workplaces_percent_change_from_baseline</th>\n",
 564 |        "      <th>residential_percent_change_from_baseline</th>\n",
 565 |        "    </tr>\n",
 566 |        "  </thead>\n",
 567 |        "  <tbody>\n",
 568 |        "    <tr>\n",
 569 |        "      <th>3818</th>\n",
 570 |        "      <td>AU</td>\n",
 571 |        "      <td>Australia</td>\n",
 572 |        "      <td>NaN</td>\n",
 573 |        "      <td>NaN</td>\n",
 574 |        "      <td>2020-02-15</td>\n",
 575 |        "      <td>4.0</td>\n",
 576 |        "      <td>3.0</td>\n",
 577 |        "      <td>-2.0</td>\n",
 578 |        "      <td>3.0</td>\n",
 579 |        "      <td>3.0</td>\n",
 580 |        "      <td>0.0</td>\n",
 581 |        "    </tr>\n",
 582 |        "    <tr>\n",
 583 |        "      <th>3819</th>\n",
 584 |        "      <td>AU</td>\n",
 585 |        "      <td>Australia</td>\n",
 586 |        "      <td>NaN</td>\n",
 587 |        "      <td>NaN</td>\n",
 588 |        "      <td>2020-02-16</td>\n",
 589 |        "      <td>3.0</td>\n",
 590 |        "      <td>5.0</td>\n",
 591 |        "      <td>9.0</td>\n",
 592 |        "      <td>3.0</td>\n",
 593 |        "      <td>-1.0</td>\n",
 594 |        "      <td>0.0</td>\n",
 595 |        "    </tr>\n",
 596 |        "    <tr>\n",
 597 |        "      <th>3820</th>\n",
 598 |        "      <td>AU</td>\n",
 599 |        "      <td>Australia</td>\n",
 600 |        "      <td>NaN</td>\n",
 601 |        "      <td>NaN</td>\n",
 602 |        "      <td>2020-02-17</td>\n",
 603 |        "      <td>-1.0</td>\n",
 604 |        "      <td>0.0</td>\n",
 605 |        "      <td>-6.0</td>\n",
 606 |        "      <td>7.0</td>\n",
 607 |        "      <td>17.0</td>\n",
 608 |        "      <td>-2.0</td>\n",
 609 |        "    </tr>\n",
 610 |        "    <tr>\n",
 611 |        "      <th>3821</th>\n",
 612 |        "      <td>AU</td>\n",
 613 |        "      <td>Australia</td>\n",
 614 |        "      <td>NaN</td>\n",
 615 |        "      <td>NaN</td>\n",
 616 |        "      <td>2020-02-18</td>\n",
 617 |        "      <td>-3.0</td>\n",
 618 |        "      <td>-2.0</td>\n",
 619 |        "      <td>-13.0</td>\n",
 620 |        "      <td>7.0</td>\n",
 621 |        "      <td>14.0</td>\n",
 622 |        "      <td>-1.0</td>\n",
 623 |        "    </tr>\n",
 624 |        "    <tr>\n",
 625 |        "      <th>3822</th>\n",
 626 |        "      <td>AU</td>\n",
 627 |        "      <td>Australia</td>\n",
 628 |        "      <td>NaN</td>\n",
 629 |        "      <td>NaN</td>\n",
 630 |        "      <td>2020-02-19</td>\n",
 631 |        "      <td>-1.0</td>\n",
 632 |        "      <td>-1.0</td>\n",
 633 |        "      <td>-6.0</td>\n",
 634 |        "      <td>8.0</td>\n",
 635 |        "      <td>13.0</td>\n",
 636 |        "      <td>-1.0</td>\n",
 637 |        "    </tr>\n",
 638 |        "    <tr>\n",
 639 |        "      <th>3823</th>\n",
 640 |        "      <td>AU</td>\n",
 641 |        "      <td>Australia</td>\n",
 642 |        "      <td>NaN</td>\n",
 643 |        "      <td>NaN</td>\n",
 644 |        "      <td>2020-02-20</td>\n",
 645 |        "      <td>0.0</td>\n",
 646 |        "      <td>1.0</td>\n",
 647 |        "      <td>5.0</td>\n",
 648 |        "      <td>9.0</td>\n",
 649 |        "      <td>13.0</td>\n",
 650 |        "      <td>-2.0</td>\n",
 651 |        "    </tr>\n",
 652 |        "    <tr>\n",
 653 |        "      <th>3824</th>\n",
 654 |        "      <td>AU</td>\n",
 655 |        "      <td>Australia</td>\n",
 656 |        "      <td>NaN</td>\n",
 657 |        "      <td>NaN</td>\n",
 658 |        "      <td>2020-02-21</td>\n",
 659 |        "      <td>3.0</td>\n",
 660 |        "      <td>4.0</td>\n",
 661 |        "      <td>-1.0</td>\n",
 662 |        "      <td>12.0</td>\n",
 663 |        "      <td>16.0</td>\n",
 664 |        "      <td>-3.0</td>\n",
 665 |        "    </tr>\n",
 666 |        "    <tr>\n",
 667 |        "      <th>3825</th>\n",
 668 |        "      <td>AU</td>\n",
 669 |        "      <td>Australia</td>\n",
 670 |        "      <td>NaN</td>\n",
 671 |        "      <td>NaN</td>\n",
 672 |        "      <td>2020-02-22</td>\n",
 673 |        "      <td>5.0</td>\n",
 674 |        "      <td>4.0</td>\n",
 675 |        "      <td>10.0</td>\n",
 676 |        "      <td>8.0</td>\n",
 677 |        "      <td>3.0</td>\n",
 678 |        "      <td>-1.0</td>\n",
 679 |        "    </tr>\n",
 680 |        "    <tr>\n",
 681 |        "      <th>3826</th>\n",
 682 |        "      <td>AU</td>\n",
 683 |        "      <td>Australia</td>\n",
 684 |        "      <td>NaN</td>\n",
 685 |        "      <td>NaN</td>\n",
 686 |        "      <td>2020-02-23</td>\n",
 687 |        "      <td>3.0</td>\n",
 688 |        "      <td>4.0</td>\n",
 689 |        "      <td>9.0</td>\n",
 690 |        "      <td>4.0</td>\n",
 691 |        "      <td>-2.0</td>\n",
 692 |        "      <td>0.0</td>\n",
 693 |        "    </tr>\n",
 694 |        "    <tr>\n",
 695 |        "      <th>3827</th>\n",
 696 |        "      <td>AU</td>\n",
 697 |        "      <td>Australia</td>\n",
 698 |        "      <td>NaN</td>\n",
 699 |        "      <td>NaN</td>\n",
 700 |        "      <td>2020-02-24</td>\n",
 701 |        "      <td>-1.0</td>\n",
 702 |        "      <td>1.0</td>\n",
 703 |        "      <td>-10.0</td>\n",
 704 |        "      <td>8.0</td>\n",
 705 |        "      <td>17.0</td>\n",
 706 |        "      <td>-1.0</td>\n",
 707 |        "    </tr>\n",
 708 |        "  </tbody>\n",
 709 |        "</table>\n",
 710 |        "</div>"
 711 |       ],
 712 |       "text/plain": [
 713 |        "     country_region_code country_region sub_region_1 sub_region_2        date  \\\n",
 714 |        "3818                  AU      Australia          NaN          NaN  2020-02-15   \n",
 715 |        "3819                  AU      Australia          NaN          NaN  2020-02-16   \n",
 716 |        "3820                  AU      Australia          NaN          NaN  2020-02-17   \n",
 717 |        "3821                  AU      Australia          NaN          NaN  2020-02-18   \n",
 718 |        "3822                  AU      Australia          NaN          NaN  2020-02-19   \n",
 719 |        "3823                  AU      Australia          NaN          NaN  2020-02-20   \n",
 720 |        "3824                  AU      Australia          NaN          NaN  2020-02-21   \n",
 721 |        "3825                  AU      Australia          NaN          NaN  2020-02-22   \n",
 722 |        "3826                  AU      Australia          NaN          NaN  2020-02-23   \n",
 723 |        "3827                  AU      Australia          NaN          NaN  2020-02-24   \n",
 724 |        "\n",
 725 |        "      retail_and_recreation_percent_change_from_baseline  \\\n",
 726 |        "3818                                                4.0    \n",
 727 |        "3819                                                3.0    \n",
 728 |        "3820                                               -1.0    \n",
 729 |        "3821                                               -3.0    \n",
 730 |        "3822                                               -1.0    \n",
 731 |        "3823                                                0.0    \n",
 732 |        "3824                                                3.0    \n",
 733 |        "3825                                                5.0    \n",
 734 |        "3826                                                3.0    \n",
 735 |        "3827                                               -1.0    \n",
 736 |        "\n",
 737 |        "      grocery_and_pharmacy_percent_change_from_baseline  \\\n",
 738 |        "3818                                                3.0   \n",
 739 |        "3819                                                5.0   \n",
 740 |        "3820                                                0.0   \n",
 741 |        "3821                                               -2.0   \n",
 742 |        "3822                                               -1.0   \n",
 743 |        "3823                                                1.0   \n",
 744 |        "3824                                                4.0   \n",
 745 |        "3825                                                4.0   \n",
 746 |        "3826                                                4.0   \n",
 747 |        "3827                                                1.0   \n",
 748 |        "\n",
 749 |        "      parks_percent_change_from_baseline  \\\n",
 750 |        "3818                                -2.0   \n",
 751 |        "3819                                 9.0   \n",
 752 |        "3820                                -6.0   \n",
 753 |        "3821                               -13.0   \n",
 754 |        "3822                                -6.0   \n",
 755 |        "3823                                 5.0   \n",
 756 |        "3824                                -1.0   \n",
 757 |        "3825                                10.0   \n",
 758 |        "3826                                 9.0   \n",
 759 |        "3827                               -10.0   \n",
 760 |        "\n",
 761 |        "      transit_stations_percent_change_from_baseline  \\\n",
 762 |        "3818                                            3.0   \n",
 763 |        "3819                                            3.0   \n",
 764 |        "3820                                            7.0   \n",
 765 |        "3821                                            7.0   \n",
 766 |        "3822                                            8.0   \n",
 767 |        "3823                                            9.0   \n",
 768 |        "3824                                           12.0   \n",
 769 |        "3825                                            8.0   \n",
 770 |        "3826                                            4.0   \n",
 771 |        "3827                                            8.0   \n",
 772 |        "\n",
 773 |        "      workplaces_percent_change_from_baseline  \\\n",
 774 |        "3818                                      3.0   \n",
 775 |        "3819                                     -1.0   \n",
 776 |        "3820                                     17.0   \n",
 777 |        "3821                                     14.0   \n",
 778 |        "3822                                     13.0   \n",
 779 |        "3823                                     13.0   \n",
 780 |        "3824                                     16.0   \n",
 781 |        "3825                                      3.0   \n",
 782 |        "3826                                     -2.0   \n",
 783 |        "3827                                     17.0   \n",
 784 |        "\n",
 785 |        "      residential_percent_change_from_baseline  \n",
 786 |        "3818                                       0.0  \n",
 787 |        "3819                                       0.0  \n",
 788 |        "3820                                      -2.0  \n",
 789 |        "3821                                      -1.0  \n",
 790 |        "3822                                      -1.0  \n",
 791 |        "3823                                      -2.0  \n",
 792 |        "3824                                      -3.0  \n",
 793 |        "3825                                      -1.0  \n",
 794 |        "3826                                       0.0  \n",
 795 |        "3827                                      -1.0  "
 796 |       ]
 797 |      },
 798 |      "execution_count": 7,
 799 |      "metadata": {},
 800 |      "output_type": "execute_result"
 801 |     }
 802 |    ],
 803 |    "source": [
 804 |     "validata_aus.head(10)"
 805 |    ]
 806 |   },
 807 |   {
 808 |    "cell_type": "code",
 809 |    "execution_count": 23,
 810 |    "metadata": {},
 811 |    "outputs": [],
 812 |    "source": [
 813 |     "import numpy as np\n",
 814 |     "testdata = validata_aus.groupby(['date']).agg(\n",
 815 |     "    {\n",
 816 |     "    \"retail_and_recreation_percent_change_from_baseline\": [np.median],\n",
 817 |     "    \"grocery_and_pharmacy_percent_change_from_baseline\": [np.median],\n",
 818 |     "    \"parks_percent_change_from_baseline\": [np.median],\n",
 819 |     "    \"transit_stations_percent_change_from_baseline\": [np.median],\n",
 820 |     "    \"workplaces_percent_change_from_baseline\": [np.median],\n",
 821 |     "    \"residential_percent_change_from_baseline\": [np.median]\n",
 822 |     "        \n",
 823 |     "}).reset_index()\n",
 824 |     "testdata.columns = [\"_\".join(x) for x in testdata.columns.ravel()]\n",
 825 |     "d = pd.to_datetime({'year':[2020], 'month':[3], 'day':[22]})\n",
 826 |     "testdata.loc[:,'countofdays'] = (pd.to_datetime(testdata['date_']) - d[0]).dt.days"
 827 |    ]
 828 |   },
 829 |   {
 830 |    "cell_type": "code",
 831 |    "execution_count": 9,
 832 |    "metadata": {
 833 |     "scrolled": true
 834 |    },
 835 |    "outputs": [
 836 |     {
 837 |      "data": {
 838 |       "text/plain": [
 839 |        "date_                                                         object\n",
 840 |        "retail_and_recreation_percent_change_from_baseline_median    float64\n",
 841 |        "grocery_and_pharmacy_percent_change_from_baseline_median     float64\n",
 842 |        "parks_percent_change_from_baseline_median                    float64\n",
 843 |        "transit_stations_percent_change_from_baseline_median         float64\n",
 844 |        "workplaces_percent_change_from_baseline_median               float64\n",
 845 |        "residential_percent_change_from_baseline_median              float64\n",
 846 |        "countofdays                                                    int64\n",
 847 |        "dtype: object"
 848 |       ]
 849 |      },
 850 |      "execution_count": 9,
 851 |      "metadata": {},
 852 |      "output_type": "execute_result"
 853 |     }
 854 |    ],
 855 |    "source": [
 856 |     "testdata.dtypes"
 857 |    ]
 858 |   },
 859 |   {
 860 |    "cell_type": "code",
 861 |    "execution_count": 24,
 862 |    "metadata": {},
 863 |    "outputs": [],
 864 |    "source": [
 865 |     "testdata_1 = testdata.copy()"
 866 |    ]
 867 |   },
 868 |   {
 869 |    "cell_type": "code",
 870 |    "execution_count": 25,
 871 |    "metadata": {},
 872 |    "outputs": [],
 873 |    "source": [
 874 |     "testdata_1.rename(columns={\n",
 875 |     "       'retail_and_recreation_percent_change_from_baseline_median' :'Retail and Recreation Median Change',\n",
 876 |     " 'grocery_and_pharmacy_percent_change_from_baseline_median':'Grocery and Pharmacy Median Change',\n",
 877 |     " 'parks_percent_change_from_baseline_median':'Parks Median Change',\n",
 878 |     " 'transit_stations_percent_change_from_baseline_median':'Transit Station Median Change',\n",
 879 |     " 'workplaces_percent_change_from_baseline_median':'Workplaces Median Change',\n",
 880 |     " 'residential_percent_change_from_baseline_median':'Residential Median Change',\n",
 881 |     " 'date_': 'date'\n",
 882 |     "}, inplace=True)"
 883 |    ]
 884 |   },
 885 |   {
 886 |    "cell_type": "code",
 887 |    "execution_count": 29,
 888 |    "metadata": {},
 889 |    "outputs": [],
 890 |    "source": [
 891 |     "import plotly.express as px\n",
 892 |     "\n",
 893 |     "import pandas as pd\n",
 894 |     "\n",
 895 |     "\n",
 896 |     "# fig = px.line(testdata, x='date', y='vals')\n",
 897 |     "# fig.show()\n",
 898 |     "\n",
 899 |     "df_long=pd.melt(testdata_1, id_vars=['date'], value_vars=['Retail and Recreation Median Change',\n",
 900 |     "                                                       'Grocery and Pharmacy Median Change',\n",
 901 |     "                                                       'Parks Median Change',\n",
 902 |     "                                                        'Transit Station Median Change',\n",
 903 |     "                                                        'Workplaces Median Change',\n",
 904 |     "                                                        'Residential Median Change'\n",
 905 |     "                                                        \n",
 906 |     "                                                        \n",
 907 |     "                                                       ])\n",
 908 |     "\n"
 909 |    ]
 910 |   },
 911 |   {
 912 |    "cell_type": "code",
 913 |    "execution_count": 30,
 914 |    "metadata": {},
 915 |    "outputs": [
 916 |     {
 917 |      "data": {
 918 |       "text/html": [
 919 |        "        <script type=\"text/javascript\">\n",
 920 |        "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
 921 |        "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
 922 |        "        if (typeof require !== 'undefined') {\n",
 923 |        "        require.undef(\"plotly\");\n",
 924 |        "        define('plotly', function(require, exports, module) {\n",
 925 |        "            /**\n",
 926 |        "* plotly.js v1.54.1\n",
 927 |        "* Copyright 2012-2020, Plotly, Inc.\n",
 928 |        "* All rights reserved.\n",
 929 |        "* Licensed under the MIT license\n",
 930 |        "*/\n",
 931 |        "!function(t){if(\"object\"==typeof exports&&\"undefined\"!=typeof module)module.exports=t();else if(\"function\"==typeof define&&define.amd)define([],t);else{(\"undefined\"!=typeof window?window:\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:this).Plotly=t()}}((function(){return function t(e,r,n){function a(o,s){if(!r[o]){if(!e[o]){var l=\"function\"==typeof require&&require;if(!s&&l)return l(o,!0);if(i)return i(o,!0);var c=new Error(\"Cannot find module '\"+o+\"'\");throw c.code=\"MODULE_NOT_FOUND\",c}var u=r[o]={exports:{}};e[o][0].call(u.exports,(function(t){return a(e[o][1][t]||t)}),u,u.exports,t,e,r,n)}return r[o].exports}for(var i=\"function\"==typeof require&&require,o=0;o<n.length;o++)a(n[o]);return a}({1:[function(t,e,r){\"use strict\";var n=t(\"../src/lib\"),a={\"X,X div\":\"direction:ltr;font-family:'Open Sans', verdana, arial, sans-serif;margin:0;padding:0;\",\"X input,X button\":\"font-family:'Open Sans', verdana, arial, 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a=0;\"-\"===(t=t.toString().replace(/\\s+/g,\"\"))[0]&&a++,16===e?this._parseHex(t,a):this._parseBase(t,e,a),\"-\"===t[0]&&(this.negative=1),this.strip(),\"le\"===r&&this._initArray(this.toArray(),e,r)},i.prototype._initNumber=function(t,e,r){t<0&&(this.negative=1,t=-t),t<67108864?(this.words=[67108863&t],this.length=1):t<4503599627370496?(this.words=[67108863&t,t/67108864&67108863],this.length=2):(n(t<9007199254740992),this.words=[67108863&t,t/67108864&67108863,1],this.length=3),\"le\"===r&&this._initArray(this.toArray(),e,r)},i.prototype._initArray=function(t,e,r){if(n(\"number\"==typeof t.length),t.length<=0)return this.words=[0],this.length=1,this;this.length=Math.ceil(t.length/3),this.words=new Array(this.length);for(var a=0;a<this.length;a++)this.words[a]=0;var i,o,s=0;if(\"be\"===r)for(a=t.length-1,i=0;a>=0;a-=3)o=t[a]|t[a-1]<<8|t[a-2]<<16,this.words[i]|=o<<s&67108863,this.words[i+1]=o>>>26-s&67108863,(s+=24)>=26&&(s-=26,i++);else 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h=1;for(c=l(t,u,t.length,e),u=0;u<o;u++)h*=e;this.imuln(h),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c)}},i.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},i.prototype.clone=function(){var t=new i(null);return this.copy(t),t},i.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},i.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},i.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},i.prototype.inspect=function(){return(this.red?\"<BN-R: \":\"<BN: \")+this.toString(16)+\">\"};var c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],u=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function f(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var 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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)},i.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,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&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()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var 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vt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),a=(a=Math.imul(v,V))+Math.imul(y,U)|0,i=Math.imul(y,V),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,Z)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,Z)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),a=(a=Math.imul(b,V))+Math.imul(_,U)|0,i=Math.imul(_,V),n=n+Math.imul(v,H)|0,a=(a=a+Math.imul(v,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,Z)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,Z)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),a=(a=Math.imul(T,V))+Math.imul(k,U)|0,i=Math.imul(k,V),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,a=(a=a+Math.imul(v,Z)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),a=(a=Math.imul(A,V))+Math.imul(S,U)|0,i=Math.imul(S,V),n=n+Math.imul(T,H)|0,a=(a=a+Math.imul(T,G)|0)+Math.imul(k,H)|0,i=i+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,Z)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,a=(a=a+Math.imul(v,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),a=(a=Math.imul(C,V))+Math.imul(L,U)|0,i=Math.imul(L,V),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,a=(a=a+Math.imul(T,Z)|0)+Math.imul(k,W)|0,i=i+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,a=(a=a+Math.imul(v,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),a=(a=Math.imul(I,V))+Math.imul(z,U)|0,i=Math.imul(z,V),n=n+Math.imul(C,H)|0,a=(a=a+Math.imul(C,G)|0)+Math.imul(L,H)|0,i=i+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,Z)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,a=(a=a+Math.imul(T,K)|0)+Math.imul(k,J)|0,i=i+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,a=(a=a+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),a=(a=Math.imul(D,V))+Math.imul(R,U)|0,i=Math.imul(R,V),n=n+Math.imul(I,H)|0,a=(a=a+Math.imul(I,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,a=(a=a+Math.imul(C,Z)|0)+Math.imul(L,W)|0,i=i+Math.imul(L,Z)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,a=(a=a+Math.imul(T,tt)|0)+Math.imul(k,$)|0,i=i+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(v,it)|0,a=(a=a+Math.imul(v,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),a=(a=Math.imul(B,V))+Math.imul(N,U)|0,i=Math.imul(N,V),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,a=(a=a+Math.imul(I,Z)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,Z)|0,n=n+Math.imul(C,J)|0,a=(a=a+Math.imul(C,K)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,a=(a=a+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,i=i+Math.imul(k,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,a=(a=a+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,Z)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,a=(a=a+Math.imul(I,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,a=(a=a+Math.imul(C,tt)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(T,it)|0,a=(a=a+Math.imul(T,ot)|0)+Math.imul(k,it)|0,i=i+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(v,ht)|0,a=(a=a+Math.imul(v,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,Z))+Math.imul(N,W)|0,i=Math.imul(N,Z),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,a=(a=a+Math.imul(I,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,a=(a=a+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,a=(a=a+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,i=i+Math.imul(k,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(a=(a=a+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,a=(a=a+Math.imul(I,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(C,it)|0,a=(a=a+Math.imul(C,ot)|0)+Math.imul(L,it)|0,i=i+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,a=(a=a+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,i=i+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(I,it)|0,a=(a=a+Math.imul(I,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,a=(a=a+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,i=i+Math.imul(L,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(a=(a=a+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((i=i+Math.imul(k,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,a=(a=a+Math.imul(I,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,a=(a=a+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(I,ht)|0,a=(a=a+Math.imul(I,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(a=(a=a+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((i=i+Math.imul(L,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(a=(a=a+Math.imul(I,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=It,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.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,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=h*m-f*v;v=h*v+f*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},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),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.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,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,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!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.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 a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.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)},i.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},i.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()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,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 i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.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),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.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 a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.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 a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >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(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.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 a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.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 a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.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},i.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],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.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)},i.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var m={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=i._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 T(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(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)}v.prototype._tmp=function(){var t=new i(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.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):r.strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},a(y,v),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=4194303&a,n=10;n<t.length;n++){var i=0|t.words[n];t.words[n-10]=(4194303&i)<<4|a>>>22,a=i}a>>>=22,t.words[n-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<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},a(x,v),a(b,v),a(_,v),_.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,a=67108863&n;n>>>=26,t.words[r]=a,e=n}return 0!==e&&(t.words[t.length++]=e),t},i._prime=function(t){if(m[t])return m[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return m[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.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\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return 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p(o,s,C--,L-w)}},scanComplete:function(t,e,r,n,a,s,l,c,u,h,p){for(var d=0,g=2*t,m=e,v=e+t,y=n;y<a;++y){var x=y+(1<<28),b=g*y;f[d++]=s[b+m],f[d++]=-x,f[d++]=s[b+v],f[d++]=x}for(y=c;y<u;++y){x=y+1;var _=g*y;f[d++]=h[_+m],f[d++]=-x}var w=d>>>1;i(f,w);var T=0;for(y=0;y<w;++y){var k=0|f[2*y+1];if(k<0){if((x=-k)>=1<<28)o[T++]=x-(1<<28);else{var M=p[x-=1],A=g*x,S=h[A+e+1],E=h[A+e+1+t];t:for(var C=0;C<T;++C){var L=o[C],P=l[L];if(P===M)break;var I=g*L;if(!(E<s[I+e+1]||s[I+e+1+t]<S)){for(var z=e+2;z<t;++z)if(h[A+z+t]<s[I+z]||s[I+z+t]<h[A+z])continue t;var O=r(P,M);if(void 0!==O)return O}}}}else{for(x=k-(1<<28),C=T-1;C>=0;--C)if(o[C]===x){for(z=C+1;z<T;++z)o[z-1]=o[z];break}--T}}}};var n=t(\"typedarray-pool\"),a=t(\"bit-twiddle\"),i=t(\"./sort\"),o=n.mallocInt32(1024),s=n.mallocInt32(1024),l=n.mallocInt32(1024),c=n.mallocInt32(1024),u=n.mallocInt32(1024),h=n.mallocInt32(1024),f=n.mallocDouble(8192);function p(t,e,r,n){var a=e[n],i=t[r-1];t[a]=i,e[i]=a}function 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 938 |        "/*!\n",
 939 |        " * The buffer module from node.js, for the browser.\n",
 940 |        " *\n",
 941 |        " * @author   Feross Aboukhadijeh <https://feross.org>\n",
 942 |        " * @license  MIT\n",
 943 |        " */\n",
 944 |        "\"use strict\";var n=t(\"base64-js\"),a=t(\"ieee754\");r.Buffer=e,r.SlowBuffer=function(t){+t!=t&&(t=0);return e.alloc(+t)},r.INSPECT_MAX_BYTES=50;function i(t){if(t>2147483647)throw new RangeError('The value \"'+t+'\" is invalid for option \"size\"');var r=new Uint8Array(t);return r.__proto__=e.prototype,r}function e(t,e,r){if(\"number\"==typeof t){if(\"string\"==typeof e)throw new TypeError('The \"string\" argument must be of type string. Received type number');return l(t)}return o(t,e,r)}function o(t,r,n){if(\"string\"==typeof t)return function(t,r){\"string\"==typeof r&&\"\"!==r||(r=\"utf8\");if(!e.isEncoding(r))throw new TypeError(\"Unknown encoding: \"+r);var n=0|h(t,r),a=i(n),o=a.write(t,r);o!==n&&(a=a.slice(0,o));return a}(t,r);if(ArrayBuffer.isView(t))return c(t);if(null==t)throw TypeError(\"The first argument must be one of type string, Buffer, ArrayBuffer, Array, or Array-like Object. 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 945 |        "/*!\n",
 946 |        " * @overview es6-promise - a tiny implementation of Promises/A+.\n",
 947 |        " * @copyright Copyright (c) 2014 Yehuda Katz, Tom Dale, Stefan Penner and contributors (Conversion to ES6 API by Jake Archibald)\n",
 948 |        " * @license   Licensed under MIT license\n",
 949 |        " *            See https://raw.githubusercontent.com/stefanpenner/es6-promise/master/LICENSE\n",
 950 |        " * @version   v4.2.8+1e68dce6\n",
 951 |        " */\n",
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s(this.tree._compare,r[0])},p.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(p,\"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}})},{}],244:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],a=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function i(t){if(t<0)return Number(\"0/0\");for(var e=a[0],r=a.length-1;r>0;--r)e+=a[r]/(t+r);var n=t+607/128+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(i(e));e-=1;for(var r=n[0],a=1;a<9;a++)r+=n[a]/(e+a);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*r},e.exports.log=i},{}],245:[function(t,e,r){e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width);\"number\"==typeof e.height&&(r.height=e.height);var n,a=e;try{var i=[t];0===t.indexOf(\"webgl\")&&i.push(\"experimental-\"+t);for(var o=0;o<i.length;o++)if(n=r.getContext(i[o],a))return n}catch(t){n=null}return n||null}},{}],246:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),a=t(\"./lib/lines.js\"),i=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(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=i(t)}var h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=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]})),u=!1,h=!1;if(\"bounds\"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&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&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=i[1][M]:C[M]=i[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(i[0][I],i[1][I])<=0&&Math.max(i[0][I],i[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0||i>0&&l<0||i<0&&l>0||i<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(a)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":247,\"./lib/cube.js\":248,\"./lib/lines.js\":249,\"./lib/text.js\":251,\"./lib/ticks.js\":252}],247:[function(t,e,r){\"use 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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:a,colors:i},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()}},{\"./shaders\":250,\"gl-buffer\":254,\"gl-vao\":331}],248:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;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===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[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=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":95,\"gl-mat4/multiply\":278,\"robust-orientation\":507,\"split-polygon\":525}],249:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[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 h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,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,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var 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g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":250,\"gl-buffer\":254,\"gl-vao\":331}],250:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=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}\"]);r.line=function(t){return a(t,i,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}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=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}\"]),u=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}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":311,glslify:412}],251:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__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}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(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:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=f[m[v]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,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]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,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]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":250,_process:487,\"gl-buffer\":254,\"gl-vao\":331,\"vectorize-text\":559}],252:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}return r},r.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 a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=a.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":248,\"extract-frustum-planes\":236,\"gl-mat4/multiply\":278,\"gl-mat4/transpose\":287,\"gl-vec4/transformMat4\":402,\"split-polygon\":525}],254:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];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&&\"undefined\"!=typeof 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\";if(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=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(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=i(s,t.shape);a.assign(l,t),this.length=c(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 h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(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}},e.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 a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:455,\"ndarray-ops\":449,\"typedarray-pool\":554}],255:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={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]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),i.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":256,\"./lib/shaders\":257,\"gl-vec3\":350}],256:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){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=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,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=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(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}function g(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}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=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}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]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var k=a[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,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};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,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||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,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),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},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()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=a(t),p=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:128,\"gl-buffer\":254,\"gl-mat4/invert\":276,\"gl-mat4/multiply\":278,\"gl-shader\":311,\"gl-texture2d\":326,\"gl-vao\":331,ndarray:455}],257:[function(t,e,r){var n=t(\"glslify\"),a=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\"]),i=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}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:412}],258:[function(t,e,r){e.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\"}},{}],259:[function(t,e,r){var n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":258}],260:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),o=a(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=i(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders/index\"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var o=a[i];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return a.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var a=[],i=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<i;++l){for(var u=r[l],f=0;f<3;++f)if(isNaN(u[f])||!isFinite(u[f]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var g;if(p[0][s]<0)(g=u.slice())[s]+=p[0][s],a.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(a,g,d,s);if(p[1][s]>0)(g=u.slice())[s]+=p[1][s],a.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(a,g,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(a)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":261,\"gl-buffer\":254,\"gl-vao\":331}],261:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),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 float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":311,glslify:412}],262:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&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 a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var m=!1;\"stencil\"in n&&(m=!!n.stencil);return new d(t,e,r,f,h,g,m,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i: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 f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);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,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=f(r,a,i,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){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);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function m(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,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(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(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(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,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(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)}}},{\"gl-texture2d\":326}],263:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":64,\"gl-constants/lookup\":259,\"glsl-shader-name\":404,\"sprintf-js\":526}],264:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,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 u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[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 a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.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,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=o;var l=t.colorLevels||[0],c=t.colorValues||[0,0,0,1],u=l.length,h=this.bounds,p=h[0]=r[0],d=h[1]=o[0],g=1/((h[2]=r[r.length-1])-p),m=1/((h[3]=o[o.length-1])-d),v=e[0],y=e[1];this.shape=[v,y];var x=(v-1)*(y-1)*(f.length>>>1);this.numVertices=x;for(var b=i.mallocUint8(4*x),_=i.mallocFloat32(2*x),w=i.mallocUint8(2*x),T=i.mallocUint32(x),k=0,M=0;M<y-1;++M)for(var A=m*(o[M]-d),S=m*(o[M+1]-d),E=0;E<v-1;++E)for(var C=g*(r[E]-p),L=g*(r[E+1]-p),P=0;P<f.length;P+=2){var I,z,O,D,R=f[P],F=f[P+1],B=s[(M+F)*v+(E+R)],N=n.le(l,B);if(N<0)I=c[0],z=c[1],O=c[2],D=c[3];else if(N===u-1)I=c[4*u-4],z=c[4*u-3],O=c[4*u-2],D=c[4*u-1];else{var j=(B-l[N])/(l[N+1]-l[N]),U=1-j,V=4*N,q=4*(N+1);I=U*c[V]+j*c[q],z=U*c[V+1]+j*c[q+1],O=U*c[V+2]+j*c[q+2],D=U*c[V+3]+j*c[q+3]}b[4*k]=255*I,b[4*k+1]=255*z,b[4*k+2]=255*O,b[4*k+3]=255*D,_[2*k]=.5*C+.5*L,_[2*k+1]=.5*A+.5*S,w[2*k]=R,w[2*k+1]=F,T[k]=M*v+E,k+=1}this.positionBuffer.update(_),this.weightBuffer.update(w),this.colorBuffer.update(b),this.idBuffer.update(T),i.free(_),i.free(b),i.free(w),i.free(T)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":265,\"binary-search-bounds\":94,\"gl-buffer\":254,\"gl-shader\":311,\"iota-array\":420,\"typedarray-pool\":554}],265:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.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\"])}},{glslify:412}],266:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=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\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":311,glslify:412}],267:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(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}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.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 a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(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 m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,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=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.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:g(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()}},y.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:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.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 a=[],i=[],o=[],s=0,u=0,h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],f=t.position||t.positions;if(f){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<f.length;++e){var v,y,x,b=f[e-1],_=f[e];for(i.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&a.length>0){for(var w=0;w<24;++w)a.push(a[a.length-12]);u+=2,m=!0}continue t}h[0][r]=Math.min(h[0][r],b[r],_[r]),h[1][r]=Math.max(h[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)a.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}a.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(a),i.push(s),o.push(f[f.length-1].slice()),this.bounds=h,this.vertexCount=u,this.points=o,this.arcLength=i,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var M=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)M.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?M.set(e,0,0,0):M.set(e,0,0,255)}this.texture.setPixels(M)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],a=this.points[Math.min(r+1,this.points.length-1)],i=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-i,u=[0,0,0],h=0;h<3;++h)u[h]=c*n[h]+i*a[h];var f=Math.min(i<.5?r:r+1,this.points.length-1);return new m(e,u,f,this.points[f])}},{\"./lib/shaders\":266,\"binary-search-bounds\":94,\"gl-buffer\":254,\"gl-texture2d\":326,\"gl-vao\":331,ndarray:455}],268:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=r*i-a*n;return o?(o=1/o,t[0]=i*o,t[1]=-n*o,t[2]=-a*o,t[3]=r*o,t):null}},{}],269:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=u*o-s*c,f=-u*i+s*l,p=c*i-o*l,d=r*h+n*f+a*p;return d?(d=1/d,t[0]=h*d,t[1]=(-u*n+a*c)*d,t[2]=(s*n-a*o)*d,t[3]=f*d,t[4]=(u*r-a*l)*d,t[5]=(-s*r+a*i)*d,t[6]=p*d,t[7]=(-c*r+n*l)*d,t[8]=(o*r-n*i)*d,t):null}},{}],270:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],271:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],272:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],a=t[3],i=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],h=t[10],f=t[11],p=t[12],d=t[13],g=t[14],m=t[15];return(e*o-r*i)*(h*m-f*g)-(e*s-n*i)*(u*m-f*d)+(e*l-a*i)*(u*g-h*d)+(r*s-n*o)*(c*m-f*p)-(r*l-a*o)*(c*g-h*p)+(n*l-a*s)*(c*d-u*p)}},{}],273:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=r+r,s=n+n,l=a+a,c=r*o,u=n*o,h=n*s,f=a*o,p=a*s,d=a*l,g=i*o,m=i*s,v=i*l;return t[0]=1-h-d,t[1]=u+v,t[2]=f-m,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+g,t[7]=0,t[8]=f+m,t[9]=p-g,t[10]=1-c-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],274:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=n+n,l=a+a,c=i+i,u=n*s,h=n*l,f=n*c,p=a*l,d=a*c,g=i*c,m=o*s,v=o*l,y=o*c;return t[0]=1-(p+g),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],275:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],276:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,T=a*c-i*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(a*E-n*C-i*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-a*A+i*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-i*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+a*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],277:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],m=e[1],v=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);h=g-_,f=m-w,p=v-T,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(h*g+f*m+p*v),t[15]=1,t}},{\"./identity\":275}],278:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*m,t[2]=x*i+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*m,t[6]=x*i+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*m,t[10]=x*i+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*m,t[14]=x*i+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],279:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-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*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],280:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+i,b=C*E*o+L*a,_=L*E*o-C*a,w=E*C*o-L*a,T=C*C*o+i,k=L*C*o+E*a,M=E*L*o+C*a,A=C*L*o-E*a,S=L*L*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*T+g*k,t[5]=l*w+f*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],282:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];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]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];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]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=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]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=a*g+l*m+f*v+e[13],t[14]=i*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],287:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=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]=i,t[11]=e[14],t[12]=a,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}},{}],288:[function(t,e,r){\"use strict\";e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:a(t,e);break;case 16:i(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t};var n=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),i=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":268,\"gl-mat3/invert\":269,\"gl-mat4/invert\":276}],289:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}var m=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(h=0;h<3;++h){if(m[h]<-.001||m[h]>1.0001)return null;v+=m[h]}if(Math.abs(v-1)>.001)return null;return[f,s(t,m),m]}},{barycentric:76,\"polytope-closest-point/lib/closest_point_2d.js\":486}],290:[function(t,e,r){var n=t(\"glslify\"),a=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\"]),i=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}\"]),c=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}\"]),u=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}\"]),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\\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}\"]),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\\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\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:412}],291:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=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,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,T,k,M,A,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=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,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 M(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 A(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.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(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 P(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=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=a[h],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*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=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(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 a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!I)if(P)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=P||(z||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=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(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,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(X[0],X[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];a.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:C)?this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?i.push(Z[0],Z[1],Z[2],this.opacity):(i.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,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=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.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&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.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,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,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,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[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()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),h=L(t),f=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=a(t),_=a(t),w=a(t),k=a(t),M=i(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=a(t),z=a(t),O=a(t),D=a(t),R=a(t),F=i(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=i(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,h,f,d,y,g,m,v,x,b,k,_,w,M,I,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":289,\"./lib/shaders\":290,colormap:128,\"gl-buffer\":254,\"gl-mat4/invert\":276,\"gl-mat4/multiply\":278,\"gl-shader\":311,\"gl-texture2d\":326,\"gl-vao\":331,ndarray:455,normals:458,\"simplicial-complex-contour\":515,\"typedarray-pool\":554}],292:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":295,\"gl-buffer\":254,\"gl-shader\":311}],293:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");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 c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=i[g],v=i[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,I=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*I,D=6*Math.max(0,z-I),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[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)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":295,\"binary-search-bounds\":94,\"gl-buffer\":254,\"gl-shader\":311}],294:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":295,\"gl-buffer\":254,\"gl-shader\":311}],295:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=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\"]);e.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:a,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:a,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:a,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\"])}},{glslify:412}],296:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");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 c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,m=a[o],v=a[o+2]-m;p[o]=2*l/u*g/v,f[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";a=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":295,\"binary-search-bounds\":94,\"gl-buffer\":254,\"gl-shader\":311,\"text-cache\":534}],297:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");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 c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=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 c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[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 u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[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 m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*a,r[0],r[3]+.5*v[3]*a,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*a,r[1],r[2]+.5*v[2]*a,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*a,r[2],r[3]+.5*v[3]*a,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*a,r[3],r[2]+.5*v[2]*a,r[3],v[2],y[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)}},c.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()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.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()},c.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())},c.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()},c.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,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),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=u(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=u(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=u(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=u(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=u(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=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=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=i[s].slice(0);0!==l.length&&(l.sort(h),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:i}),this.text.update({bounds:o,ticks:i,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()},c.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();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.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}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.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}}},{\"./lib/box\":292,\"./lib/grid\":293,\"./lib/line\":294,\"./lib/text\":296,\"gl-select-static\":310}],298:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in 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 c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,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:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.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,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!f&&!p&&!g||m&&!f&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!f&&!p&&!g||v||m&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&m&&!f&&!p&&!g||y||m&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(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),r.preventDefault()}),!!l&&{passive:!1}),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),t.preventDefault()}),!!l&&{passive:!1}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":414,\"mouse-change\":440,\"mouse-event-offset\":441,\"mouse-wheel\":443,\"right-now\":501}],299:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=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}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":311,glslify:412}],300:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;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}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,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||{},M=a(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],P=[],I=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,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:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,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,z=!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)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.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 a=0|Math.ceil(r*N.pixelRatio),i=0|Math.ceil(n*N.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var a=E[n],i=a.pickSlots;if(i){for(var o=0;o<e;++o)if(L[o]+i<255){C[n]=o,a.setPickBase(L[o]+1),L[o]+=i;continue t}var l=s(r,F);C[n]=e,P.push(l),L.push(i),a.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),I=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),I=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,a=E.length,i=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&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<a;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}i&&i!==x.object&&(i.highlight&&i.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==i)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],a=H[1];n[0]=n[1]=n[2]=1/0,a[0]=a[1]=a[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,I=I||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),a[p]=Math.max(a[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(a[p]<n[p])n[p]=-1,a[p]=1;else{n[p]===a[p]&&(n[p]-=1,a[p]+=1);var g=.05*(a[p]-n[p]);n[p]=n[p]-g,a[p]=a[p]+g}d[0][p]=n[p],d[1][p]=a[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){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 a=P[n];a.shape=j,a.begin();for(var i=0;i<t;++i)if(C[i]===n){var o=E[i];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}a.end()}}}()),N.axesPixels=i(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.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 A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}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),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}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,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":298,\"./lib/shader\":299,\"a-big-triangle\":62,\"gl-axes3d\":246,\"gl-axes3d/properties\":253,\"gl-fbo\":262,\"gl-mat4/ortho\":279,\"gl-mat4/perspective\":280,\"gl-select-static\":310,\"gl-spikes3d\":320,\"is-mobile\":424,\"mouse-change\":440}],301:[function(t,e,r){var n=t(\"glslify\");r.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}\"]),r.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\"]),r.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\"]),r.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\"])},{glslify:412}],302:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,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}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.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,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[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=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":301,\"gl-buffer\":254,\"gl-shader\":311,\"typedarray-pool\":554}],303:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(i=c*p+u*d+h*g+f*m)<0&&(i=-i,p=-p,d=-d,g=-g,m=-m);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*m,t}},{}],304:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],305:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[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,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":559}],306:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float 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}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return v(t,h)},r.createOrtho=function(t){return v(t,f)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":311,glslify:412}],307:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,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=c,this.pickOrthoShader=u,this.pickProjectShader=h,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}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,h,f,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.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 y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=h.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(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}function C(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,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);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(i[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,a[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,P=(m+2)%3,I=A(x),z=A(b);I[L]=1,z[P]=1;var O=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=I,I=z,z=R;var F=L;L=P,P=F}O[0]<0&&(I[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);I[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,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()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&C(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.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 a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},v.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){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var Z=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+Z[1]),z+=1}for(X=M.edges,J=M.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];P[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+Z[1]),O+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},v.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()}},{\"./lib/get-simple-string\":304,\"./lib/glyphs\":305,\"./lib/shaders\":306,\"gl-buffer\":254,\"gl-mat4/multiply\":278,\"gl-vao\":331,\"is-string-blank\":427,\"typedarray-pool\":554}],308:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:412}],309:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,m,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var 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n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2,s=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_16_arg0_<255||_inline_16_arg1_<255||_inline_16_arg2_<255||_inline_16_arg3_<255){var 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r=this.gl,i=this.shaders[t===r.FRAGMENT_SHADER|0],l=i[e];if(l&&r.isShader(l.shader))l.count+=1;else{var c=function(t,e,r){var i=t.createShader(e);if(t.shaderSource(i,r),t.compileShader(i),!t.getShaderParameter(i,t.COMPILE_STATUS)){var o=t.getShaderInfoLog(i);try{var s=a(o,r,e)}catch(t){throw console.warn(\"Failed to format compiler error: \"+t),new n(o,\"Error compiling shader:\\n\"+o)}throw new n(o,s.short,s.long)}return i}(r,t,e);l=i[e]=new s(o++,e,t,c,[],1,this)}return l},c.getProgram=function(t,e,r,a){var i=[t.id,e.id,r.join(\":\"),a.join(\":\")].join(\"@\"),o=this.programs[i];return o&&this.gl.isProgram(o)||(this.programs[i]=o=function(t,e,r,a,i){var o=t.createProgram();t.attachShader(o,e),t.attachShader(o,r);for(var s=0;s<a.length;++s)t.bindAttribLocation(o,i[s],a[s]);if(t.linkProgram(o),!t.getProgramParameter(o,t.LINK_STATUS)){var l=t.getProgramInfoLog(o);throw new n(l,\"Error linking program: \"+l)}return 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l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&i.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&i.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&i.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&i.drawLine(l,c,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],319:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":311,glslify:412}],320:[function(t,e,r){\"use strict\";var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders/index\");e.exports=function(t,e){var r=[];function o(t,e,n,a,i,o){var s=[t,e,n,0,0,0,1];s[a+3]=1,s[a]=i,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[a]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[a]=i,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=a(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=i(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var h=new s(t,l,c,u);return h.update(e),h};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],h=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var a,i=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(a=this.axes.lastCubeProps.axis);for(var f=c,p=u,d=0;d<3;++d)a&&a[d]<0?(f[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(f[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=i,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,f,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":319,\"gl-buffer\":254,\"gl-vao\":331}],321:[function(t,e,r){var n=t(\"glslify\"),a=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 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=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 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}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:412}],322:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,m=0,v=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/i,v=a.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];f.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=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 a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),m=s(i[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,h-1),v=l(v,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>h-1||y>f-1||x>p-1)return n.create();var b,_,w,T,k,M,A=i[0][d],S=i[0][v],E=i[1][g],C=i[1][y],L=i[2][m],P=(o-A)/(S-A),I=(c-E)/(C-E),z=(u-L)/(i[2][x]-L);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,v=h-1-v),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*f,_=v*p*f;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*h,T=y*p*h;break;case 3:w=g,T=y,k=m*f,M=x*f,b=d*f*p,_=v*f*p;break;case 2:w=g,T=y,b=d*f,_=v*f,k=m*f*h,M=x*f*h;break;case 1:b=d,_=v,k=m*h,M=x*h,w=g*h*p,T=y*h*p;break;default:b=d,_=v,w=g*h,T=y*h,k=m*h*f,M=x*h*f}var O=a[b+w+k],D=a[b+w+M],R=a[b+T+k],F=a[b+T+M],B=a[_+w+k],N=a[_+w+M],j=a[_+T+k],U=a[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var Z=n.create();return n.lerp(Z,Y,W,z),Z}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1/a),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/a),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/a),n.add(r,i,o),n.add(r,r,s),r},m=[],v=e[0][0],y=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<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/a,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var P=[L],I=[],z=d(L),O=L;I.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*a&&P.length<a&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){P.push(N),O=N,I.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":321,\"gl-cone3d\":255,\"gl-vec3\":350,\"gl-vec4\":386}],323:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  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=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  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=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,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},r.createPickShader=function(t){var e=n(t,i,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},r.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},r.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}},{\"gl-shader\":311,glslify:412}],324:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[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,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,a,i,o,l,c,u,f,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,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=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(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.opacityscale=!1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.isTransparent=function(){return this.opacity<1||this.opacityscale},S.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||E,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=C.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[+(i[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var P={model:w,view:w,projection:w,inverseModel:w.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},I=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,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 a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][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=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=k[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=k[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,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 R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,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 a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=L(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(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=k[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=k[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,m=h*(f?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(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);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 a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(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 i=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]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var v=g[o];if((Array.isArray(v)||v.length)&&(v=h(v)),v.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(v.data,i);y.stride[o]=v.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)m(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),S=w.get(1,o,b,0),E=w.get(1,o,b,1),C=w.get(2,o,b,0),L=w.get(2,o,b,1),P=S*L-E*C,I=C*A-L*M,z=M*E-A*S,O=Math.sqrt(P*P+I*I+z*z);O<1e-8?(O=Math.max(Math.abs(P),Math.abs(I),Math.abs(z)))<1e-8?(z=1,I=P=0,O=1):O=1/O:O=1/Math.sqrt(O),k.set(o,b,0,P*O),k.set(o,b,1,I*O),k.set(o,b,2,z*O)}s.free(w.data);var D=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,j=-1/0,U=(i[0]-1)*(i[1]-1)*6,V=s.mallocFloat(n.nextPow2(10*U)),q=0,H=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var G=0;G<2;++G)for(var Y=0;Y<2;++Y)for(var W=0;W<3;++W){var Z=this._field[W].get(1+o+G,1+b+Y);if(isNaN(Z)||!isFinite(Z))continue t}for(W=0;W<6;++W){var X=o+T[W][0],J=b+T[W][1],K=this._field[0].get(X+1,J+1),Q=this._field[1].get(X+1,J+1);Z=this._field[2].get(X+1,J+1),P=k.get(X+1,J+1,0),I=k.get(X+1,J+1,1),z=k.get(X+1,J+1,2),t.intensity&&($=t.intensity.get(X,J));var $=t.intensity?t.intensity.get(X,J):Z+this.objectOffset[2];V[q++]=X,V[q++]=J,V[q++]=K,V[q++]=Q,V[q++]=Z,V[q++]=0,V[q++]=$,V[q++]=P,V[q++]=I,V[q++]=z,D[0]=Math.min(D[0],K+this.objectOffset[0]),D[1]=Math.min(D[1],Q+this.objectOffset[1]),D[2]=Math.min(D[2],Z+this.objectOffset[2]),N=Math.min(N,$),F[0]=Math.max(F[0],K+this.objectOffset[0]),F[1]=Math.max(F[1],Q+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),j=Math.max(j,$),H+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],j=+t.intensityBounds[1]),o=6;o<q;o+=10)V[o]=(V[o]-N)/(j-N);this._vertexCount=H,this._coordinateBuffer.update(V.subarray(0,q)),s.freeFloat(V),s.free(k.data),this.bounds=[D,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===j||(r=!0),this.intensityBounds=[N,j]}if(\"levels\"in t){var tt=t.levels;for(tt=Array.isArray(tt[0])?tt.slice():[[],[],tt],o=0;o<3;++o)tt[o]=tt[o].slice(),tt[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(b=0;b<tt[o].length;++b)tt[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(tt[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<tt[o].length;++b)if(tt[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=tt}if(r){_=this._field,i=this.shape;for(var et=[],rt=0;rt<3;++rt){var nt=this.contourLevels[rt],at=[],it=[],ot=[0,0,0];for(o=0;o<nt.length;++o){var st=f(this._field[rt],nt[o]);at.push(et.length/5|0),H=0;t:for(b=0;b<st.cells.length;++b){var lt=st.cells[b];for(W=0;W<2;++W){var ct=st.positions[lt[W]],ut=ct[0],ht=0|Math.floor(ut),ft=ut-ht,pt=ct[1],dt=0|Math.floor(pt),gt=pt-dt,mt=!1;e:for(var vt=0;vt<3;++vt){ot[vt]=0;var yt=(rt+vt+1)%3;for(G=0;G<2;++G){var xt=G?ft:1-ft;for(X=0|Math.min(Math.max(ht+G,0),i[0]),Y=0;Y<2;++Y){var bt=Y?gt:1-gt;if(J=0|Math.min(Math.max(dt+Y,0),i[1]),Z=vt<2?this._field[yt].get(X,J):(this.intensity.get(X,J)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var _t=xt*bt;ot[vt]+=_t*Z}}}if(mt){if(W>0){for(var wt=0;wt<5;++wt)et.pop();H-=1}continue t}et.push(ot[0],ot[1],ct[0],ct[1],ot[2]),H+=1}}it.push(H)}this._contourOffsets[rt]=at,this._contourCounts[rt]=it}var Tt=s.mallocFloat(et.length);for(o=0;o<et.length;++o)Tt[o]=et[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,r){var n=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}(r/255,e):1;return[t[0],t[1],t[2],255*n]}))]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<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,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,C=1-E,L=k*C,P=k*E,I=T*C,z=T*E,O=L*h.get(_,A)+P*h.get(_,S)+I*h.get(w,A)+z*h.get(w,S),D=L*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=O,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":323,\"binary-search-bounds\":94,\"bit-twiddle\":95,colormap:128,\"gl-buffer\":254,\"gl-mat4/invert\":276,\"gl-mat4/multiply\":278,\"gl-texture2d\":326,\"gl-vao\":331,ndarray:455,\"ndarray-gradient\":446,\"ndarray-ops\":449,\"ndarray-pack\":450,\"surface-nets\":529,\"typedarray-pool\":554}],325:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").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||i({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(f(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 alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\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\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\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 sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\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=a(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=h(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),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=y(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,i=!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 a=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]&&a==e.font[r].baseString||(i=!0,e.font[r]=T.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[a]=e.font[r]}})),(i||o)&&this.font.forEach((function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],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 s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,z=0;I<this.counts.length;I++){for(var O=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(T.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(a*=-1),a}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;H=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":95,\"color-normalize\":122,\"css-font\":141,\"detect-kerning\":168,\"es6-weak-map\":229,\"flatten-vertex-data\":240,\"font-atlas\":241,\"font-measure\":242,\"gl-util/context\":327,\"is-plain-obj\":426,\"object-assign\":459,\"parse-rect\":464,\"parse-unit\":466,\"pick-by-alias\":470,regl:499,\"to-px\":537,\"typedarray-pool\":554}],326:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),a=t(\"ndarray-ops\"),i=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(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 x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(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]}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 h=function(t,e){a.muls(t,e,255)};function f(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)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 p(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(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 m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new p(t,o,e,r,n,a)}function y(t,e,r,n,a,i){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new p(t,o,r,n,a,i)}function x(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=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,f,d=0;if(2===o.length)d=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])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];f=i.malloc(v,r);var 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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}}}),d.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 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t=0;t<this._attribs.length;++t)this._attribs[t].bind(this.gl)},i.prototype.unbind=function(){this._ext.bindVertexArrayOES(null)},i.prototype.dispose=function(){this._ext.deleteVertexArrayOES(this.handle)},i.prototype.update=function(t,e,r){if(this.bind(),n(this.gl,e,t),this.unbind(),this._attribs.length=0,t)for(var i=0;i<t.length;++i){var o=t[i];\"number\"==typeof o?this._attribs.push(new a(i,1,o)):Array.isArray(o)&&this._attribs.push(new a(i,o.length,o[0],o[1],o[2],o[3]))}this._useElements=!!e,this._elementsType=r||this.gl.UNSIGNED_SHORT},i.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._useElements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t,e){return new i(t,e,e.createVertexArrayOES())}},{\"./do-bind.js\":328}],331:[function(t,e,r){\"use strict\";var n=t(\"./lib/vao-native.js\"),a=t(\"./lib/vao-emulated.js\");function 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n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?h(this.rightPoints,t,r):f(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new a(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":418}],418:[function(t,e,r){arguments[4][239][0].apply(r,arguments)},{dup:239}],419:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],420:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],421:[function(t,e,r){e.exports=!0},{}],422:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
 953 |        "/*!\n",
 954 |        " * Determine if an object is a Buffer\n",
 955 |        " *\n",
 956 |        " * @author   Feross Aboukhadijeh <https://feross.org>\n",
 957 |        " * @license  MIT\n",
 958 |        " */\n",
 959 |        "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],423:[function(t,e,r){\"use strict\";e.exports=\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))},{}],424:[function(t,e,r){\"use strict\";e.exports=i,e.exports.isMobile=i,e.exports.default=i;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,a=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function i(t){t||(t={});var e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?a.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],425:[function(t,e,r){\"use strict\";e.exports=function(t){var e=typeof t;return null!==t&&(\"object\"===e||\"function\"===e)}},{}],426:[function(t,e,r){\"use strict\";var n=Object.prototype.toString;e.exports=function(t){var e;return\"[object Object]\"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],427:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],428:[function(t,e,r){\"use strict\";e.exports=function(t){return\"string\"==typeof t&&(t=t.trim(),!!(/^[mzlhvcsqta]\\s*[-+.0-9][^mlhvzcsqta]+/i.test(t)&&/[\\dz]$/i.test(t)&&t.length>4))}},{}],429:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],430:[function(t,e,r){!function(t,n){\"object\"==typeof r&&\"undefined\"!=typeof e?e.exports=n():(t=t||self).mapboxgl=n()}(this,(function(){\"use strict\";var t,e,r;function n(n,a){if(t)if(e){var i=\"var sharedChunk = {}; (\"+t+\")(sharedChunk); (\"+e+\")(sharedChunk);\",o={};t(o),(r=a(o)).workerUrl=window.URL.createObjectURL(new Blob([i],{type:\"text/javascript\"}))}else e=a;else t=a}return n(0,(function(t){function e(t,e){return t(e={exports:{}},e.exports),e.exports}var r=n;function n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,a,i,o;for(void 0===e&&(e=1e-6),a=t,o=0;o<8;o++){if(i=this.sampleCurveX(a)-t,Math.abs(i)<e)return a;var s=this.sampleCurveDerivativeX(a);if(Math.abs(s)<1e-6)break;a-=i/s}if((a=t)<(r=0))return r;if(a>(n=1))return n;for(;r<n;){if(i=this.sampleCurveX(a),Math.abs(i-t)<e)return a;t>i?r=a:n=a,a=.5*(n-r)+r}return a},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var a=i;function i(t,e){this.x=t,this.y=e}function o(t,e,n,a){var i=new r(t,e,n,a);return function(t){return i.solve(t)}}i.prototype={clone:function(){return new i(this.x,this.y)},add:function(t){return this.clone()._add(t)},sub:function(t){return this.clone()._sub(t)},multByPoint:function(t){return this.clone()._multByPoint(t)},divByPoint:function(t){return this.clone()._divByPoint(t)},mult:function(t){return this.clone()._mult(t)},div:function(t){return this.clone()._div(t)},rotate:function(t){return this.clone()._rotate(t)},rotateAround:function(t,e){return this.clone()._rotateAround(t,e)},matMult:function(t){return this.clone()._matMult(t)},unit:function(){return this.clone()._unit()},perp:function(){return this.clone()._perp()},round:function(){return this.clone()._round()},mag:function(){return Math.sqrt(this.x*this.x+this.y*this.y)},equals:function(t){return this.x===t.x&&this.y===t.y},dist:function(t){return Math.sqrt(this.distSqr(t))},distSqr:function(t){var e=t.x-this.x,r=t.y-this.y;return e*e+r*r},angle:function(){return Math.atan2(this.y,this.x)},angleTo:function(t){return 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[2]*this.x+t[3]*this.y;return this.x=t[0]*this.x+t[1]*this.y,this.y=e,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=r*this.x+e*this.y;return this.x=e*this.x-r*this.y,this.y=n,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return this.x=e.x+r*(this.x-e.x)-n*(this.y-e.y),this.y=a,this},_round:function(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this}},i.convert=function(t){return t instanceof i?t:Array.isArray(t)?new i(t[0],t[1]):t};var s=o(.25,.1,.25,1);function l(t,e,r){return Math.min(r,Math.max(e,t))}function c(t,e,r){var n=r-e,a=((t-e)%n+n)%n+e;return a===e?r:a}function u(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];for(var n=0,a=e;n<a.length;n+=1){var i=a[n];for(var o in i)t[o]=i[o]}return t}var h=1;function f(){return h++}function p(){return function t(e){return e?(e^16*Math.random()>>e/4).toString(16):([1e7]+-[1e3]+-4e3+-8e3+-1e11).replace(/[018]/g,t)}()}function d(t){return!!t&&/^[0-9a-f]{8}-[0-9a-f]{4}-[4][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i.test(t)}function g(t,e){t.forEach((function(t){e[t]&&(e[t]=e[t].bind(e))}))}function m(t,e){return-1!==t.indexOf(e,t.length-e.length)}function v(t,e,r){var n={};for(var a in t)n[a]=e.call(r||this,t[a],a,t);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==L&&(L=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),L.matches)}},F={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},B={supported:!1,testSupport:function(t){!N&&I&&(j?U(t):P=t)}},N=!1,j=!1;function U(t){var e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);try{if(t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,I),t.isContextLost())return;B.supported=!0}catch(t){}t.deleteTexture(e),N=!0}self.document&&((I=self.document.createElement(\"img\")).onload=function(){P&&U(P),P=null,j=!0},I.onerror=function(){N=!0,P=null},I.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\");var V=\"01\",q=function(t,e){this._transformRequestFn=t,this._customAccessToken=e,this._createSkuToken()};function H(t){return 0===t.indexOf(\"mapbox:\")}q.prototype._createSkuToken=function(){var t=function(){for(var t=\"\",e=0;e<10;e++)t+=\"0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ\"[Math.floor(62*Math.random())];return{token:[\"1\",V,t].join(\"\"),tokenExpiresAt:Date.now()+432e5}}();this._skuToken=t.token,this._skuTokenExpiresAt=t.tokenExpiresAt},q.prototype._isSkuTokenExpired=function(){return 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(!H(t))return t;var r=Z(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!H(t))return t;var r=Z(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!H(t))return t;var r=Z(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 a=Z(t);return H(t)?(a.path=\"/styles/v1\"+a.path+\"/sprite\"+e+r,this._makeAPIURL(a,this._customAccessToken||n)):(a.path+=\"\"+e+r,X(a))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!H(t))return t;var r=Z(t);r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,(R.devicePixelRatio>=2||512===e?\"@2x\":\"\")+(B.supported?\".webp\":\"$1\")),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var n=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||F.ACCESS_TOKEN;return F.REQUIRE_ACCESS_TOKEN&&n&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,n)},q.prototype.canonicalizeTileURL=function(t,e){var r=Z(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var a=r.params;return e&&(a=a.filter((function(t){return!t.match(/^access_token=/)}))),a.length&&(n+=\"?\"+a.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&H(e),n=[],a=0,i=t.tiles||[];a<i.length;a+=1){var o=i[a];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=Z(F.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!F.REQUIRE_ACCESS_TOKEN)return X(t);if(!(e=e||F.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),X(t)};var G=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return G.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function Z(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 X(t){var 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r=e.parse(t[1],1,Dt);if(!r)return null;var n=[],a=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(a=e.expectedType);for(var i=1;i<t.length;i+=2){var o=1===i?-1/0:t[i],s=t[i+1],l=i,c=i+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,a);if(!u)return null;a=a||u.type,n.push([o,u])}return new je(a,r,n)},je.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var a=e.length;return n>=e[a-1]?r[a-1].evaluate(t):r[Ne(e,n)].evaluate(t)},je.prototype.eachChild=function(t){t(this.input);for(var 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e=Xe(t.r),r=Xe(t.g),n=Xe(t.b),a=Ye((.4124564*e+.3575761*r+.1804375*n)/.95047),i=Ye((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*i-16,a:500*(a-i),b:200*(i-Ye((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function Ke(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*We(e),r=.95047*We(r),n=1.08883*We(n),new Kt(Ze(3.2404542*r-1.5371385*e-.4985314*n),Ze(-.969266*r+1.8760108*e+.041556*n),Ze(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function Qe(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var $e={forward:Je,reverse:Ke,interpolate:function(t,e,r){return{l:Ue(t.l,e.l,r),a:Ue(t.a,e.a,r),b:Ue(t.b,e.b,r),alpha:Ue(t.alpha,e.alpha,r)}}},tr={forward:function(t){var e=Je(t),r=e.l,n=e.a,a=e.b,i=Math.atan2(a,n)*Ge;return{h:i<0?i+360:i,c:Math.sqrt(n*n+a*a),l:r,alpha:t.a}},reverse:function(t){var e=t.h*He,r=t.c;return Ke({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:Qe(t.h,e.h,r),c:Ue(t.c,e.c,r),l:Ue(t.l,e.l,r),alpha:Ue(t.alpha,e.alpha,r)}}},er=Object.freeze({__proto__:null,lab:$e,hcl:tr}),rr=function(t,e,r,n,a){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var i=0,o=a;i<o.length;i+=1){var s=o[i],l=s[1];this.labels.push(s[0]),this.outputs.push(l)}};function nr(t,e,r,n){var a=n-r,i=t-r;return 0===a?0:1===e?i/a:(Math.pow(e,i)-1)/(Math.pow(e,a)-1)}rr.interpolationFactor=function(t,e,n,a){var i=0;if(\"exponential\"===t.name)i=nr(e,t.base,n,a);else if(\"linear\"===t.name)i=nr(e,1,n,a);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;i=new r(o[0],o[1],o[2],o[3]).solve(nr(e,1,n,a))}return i},rr.parse=function(t,e){var r=t[0],n=t[1],a=t[2],i=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(a=e.parse(a,2,Dt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Bt:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<i.length;u+=2){var h=i[u],f=i[u+1],p=u+3,d=u+4;if(\"number\"!=typeof h)return e.error('Input/output pairs for 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i=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[i],e[i+1]),s=r[i].evaluate(t),l=r[i+1].evaluate(t);return\"interpolate\"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.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 ar=function(t,e){this.type=t,this.args=e};ar.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 a=[],i=0,o=t.slice(1);i<o.length;i+=1){var s=e.parse(o[i],1+a.length,r,void 0,{typeAnnotation:\"omit\"});if(!s)return null;r=r||s.type,a.push(s)}var l=n&&a.some((function(t){return Wt(n,t.type)}));return new ar(l?jt:r,a)},ar.prototype.evaluate=function(t){for(var e,r=null,n=0,a=0,i=this.args;a<i.length&&(n++,(r=i[a].evaluate(t))&&r instanceof ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);a+=1);return r},ar.prototype.eachChild=function(t){this.args.forEach(t)},ar.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ar.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var 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t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.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,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.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,jt),n=e.parse(t[2],2,jt);return r&&n?Zt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.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,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Zt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\");if(4===t.length){var a=e.parse(t[3],3,Dt);return a?new lr(r,n,a):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,a,i){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=a,this.otherwise=i};cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var a={},i=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(var u=0,h=s;u<h.length;u+=1){var f=h[u];if(\"number\"!=typeof f&&\"string\"!=typeof f)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof f&&Math.abs(f)>Number.MAX_SAFE_INTEGER)return c.error(\"Branch labels must be integers no larger than \"+Number.MAX_SAFE_INTEGER+\".\");if(\"number\"==typeof f&&Math.floor(f)!==f)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(f)))return null}else r=ae(f);if(void 0!==a[String(f)])return c.error(\"Branch labels must be unique.\");a[String(f)]=i.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,i.push(p)}var d=e.parse(t[1],1,jt);if(!d)return null;var g=e.parse(t[t.length-1],t.length-1,n);return g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new cr(r,n,d,a,i,g):null},cr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},a=0,i=Object.keys(this.cases).sort();a<i.length;a+=1){var o=i[a];void 0===(h=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[h][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],h=u[0],f=u[1];e.push(1===f.length?s(f[0]):f.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 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hr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function fr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function a(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return a.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],i=e.parse(t[1],1,jt);if(!i)return null;if(!fr(r,i.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Gt(i.type)+\"'.\");var o=e.parse(t[2],2,jt);if(!o)return null;if(!fr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var Hr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!De(e.expression)};Hr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,a,i){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,a,i)},Hr.prototype.evaluate=function(t,e,r,n,a,i){return this._styleExpression.evaluate(t,e,r,n,a,i)};var Gr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!De(e.expression),this.interpolationType=n};function Yr(t,e){if(\"error\"===(t=qr(t,e)).result)return t;var r=t.value.expression,n=Oe(r);if(!n&&!Lr(e))return Cr([new It(\"\",\"data expressions not supported\")]);var a=Re(r,[\"zoom\"]);if(!a&&!Pr(e))return Cr([new It(\"\",\"zoom expressions not supported\")]);var i=function t(e){var r=null;if(e instanceof ir)r=t(e.result);else if(e 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this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,a,i)},Gr.prototype.evaluate=function(t,e,r,n,a,i){return this._styleExpression.evaluate(t,e,r,n,a,i)},Gr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?rr.interpolationFactor(this.interpolationType,t,e,r):0};var Wr=function(t,e){this._parameters=t,this._specification=e,Ct(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||!(s||void 0!==e.property),c=e.type||(Ir(r)?\"exponential\":\"interval\");if(o&&((e=Ct({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],Kt.parse(t[1])]}))),e.default=Kt.parse(e.default?e.default:r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!er[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===c)n=Nr;else if(\"interval\"===c)n=Br;else if(\"categorical\"===c){n=Fr,a=Object.create(null);for(var u=0,h=e.stops;u<h.length;u+=1){var f=h[u];a[f[0]]=f[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?Rr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Zr(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=zr(r);if(\"object\"!==l)return[new St(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=bn;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new St(e,r[c],'unknown property \"'+c+'\"'));continue}f=bn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new St(e,r,'missing required property \"'+p+'\"'));return s}function Xr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||bn;if(\"array\"!==zr(e))return[new St(i,e,\"array expected, \"+zr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new St(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new St(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===zr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Jr(t){var e=t.key,r=t.value,n=t.valueSpec,a=zr(r);return\"number\"===a&&r!=r&&(a=\"NaN\"),\"number\"!==a?[new St(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new St(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new St(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Kr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===zr(t.value.stops)&&\"array\"===zr(t.value.stops[0])&&\"object\"===zr(t.value.stops[0][0]),u=Zr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new St(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Xr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===zr(r)&&0===r.length&&e.push(new St(t.key,r,\"array must have at least one stop\")),e},default:function(t){return bn({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new St(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new St(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!Ir(t.valueSpec)&&u.push(new St(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Lr(t.valueSpec)?u.push(new St(t.key,t.value,\"property functions not supported\")):s&&!Pr(t.valueSpec)&&u.push(new St(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new St(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==zr(i))return[new St(s,i,\"array expected, \"+zr(i)+\" found\")];if(2!==i.length)return[new St(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==zr(i[0]))return[new St(s,i,\"object expected, \"+zr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new St(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new St(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new St(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Zr({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return Vr(Pt(i[1]))?e.concat([new St(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(bn({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new St(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return Lr(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new St(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new St(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new St(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new St(t.key,c,\"integer expected, found \"+l)]}}function Qr(t){var e=(\"property\"===t.expressionContext?Yr:qr)(Pt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new St(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new St(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Re(r,[\"zoom\",\"feature-state\"]))return[new St(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Oe(r))return[new St(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function $r(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),a}function tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}Wr.deserialize=function(t){return new Wr(t._parameters,t._specification)},Wr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var en={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Array.isArray(t)&&0!==t.length&&\"within\"===t[0]}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?on(t[1],t[2],\"==\"):\"!=\"===r?cn(on(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?on(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(an))):\"all\"===r?[\"all\"].concat(t.slice(1).map(an)):\"none\"===r?[\"all\"].concat(t.slice(1).map(an).map(cn)):\"in\"===r?sn(t[1],t.slice(2)):\"!in\"===r?cn(sn(t[1],t.slice(2))):\"has\"===r?ln(t[1]):\"!has\"!==r||cn(ln(t[1]))}function on(t,e,r){switch(t){case\"$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\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(nn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function ln(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cn(t){return[\"!\",t]}function un(t){return tn(Pt(t.value))?Qr(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==zr(r))return[new St(n,r,\"array expected, \"+zr(r)+\" found\")];var a,i=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat($r({key:n+\"[0]\",value:r[0],valueSpec:i.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Lt(r[1])&&o.push(new St(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new St(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(a=zr(r[1]))&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));for(var s=2;s<r.length;s++)a=zr(r[s]),\"$type\"===Lt(r[1])?o=o.concat($r({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:i.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==a&&\"number\"!==a&&\"boolean\"!==a&&o.push(new St(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+a+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"))}return o}(t)}function hn(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,i,'unknown property \"'+o+'\"')];if(\"string\"===zr(i)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new St(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new St(r,i,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Or(Pt(i))&&\"identity\"===Lt(i.type)&&h.push(new St(r,i,'\"text-font\" does not support identity functions'))),h.concat(bn({key:t.key,value:i,valueSpec:u,style:n,styleSpec:a,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function fn(t){return hn(t,\"paint\")}function pn(t){return hn(t,\"layout\")}function dn(t){var e=[],r=t.value,n=t.key,a=t.style,i=t.styleSpec;r.type||r.ref||e.push(new St(n,r,'either \"type\" or \"ref\" is required'));var o,s=Lt(r.type),l=Lt(r.ref);if(r.id)for(var c=Lt(r.id),u=0;u<t.arrayIndex;u++){var h=a.layers[u];Lt(h.id)===c&&e.push(new St(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new St(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),a.layers.forEach((function(t){Lt(t.id)===l&&(o=t)})),o?o.ref?e.push(new St(n,r.ref,\"ref cannot reference another ref layer\")):s=Lt(o.type):e.push(new St(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=a.sources&&a.sources[r.source],p=f&&Lt(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new St(n,r.source,\"raster-dem source 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Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return fn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return\"string\"!==n?[new St(r,e,\"string expected, \"+n+\" found\")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===zr(r))return gn({key:e,value:r});var n=[];for(var a in r)n.push.apply(n,gn({key:e+\".\"+a,value:r[a]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,a=t.style;if(!e.type)return[new St(r,e,'\"type\" is required')];var i,o=Lt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Zr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:mn});case\"geojson\":if(i=Zr({key:r,value:e,valueSpec:n.source_geojson,style:a,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},aa.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ia=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ia.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ia.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oa=function(t){this.property=t,this.value=new ia(t,void 0)};oa.prototype.transitioned=function(t,e){return new la(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oa.prototype.untransitioned=function(){return new la(this.property,this.value,null,{},0)};var sa=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};sa.prototype.getValue=function(t){return x(this._values[t].value.value)},sa.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].value=new ia(this._values[t].property,null===e?void 0:x(e))},sa.prototype.getTransition=function(t){return x(this._values[t].transition)},sa.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].transition=x(e)||void 0},sa.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a);var i=this.getTransition(n);void 0!==i&&(t[n+\"-transition\"]=i)}return t},sa.prototype.transitioned=function(t,e){for(var r=new ca(this._properties),n=0,a=Object.keys(this._values);n<a.length;n+=1){var i=a[n];r._values[i]=this._values[i].transitioned(t,e._values[i])}return r},sa.prototype.untransitioned=function(){for(var t=new ca(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 la=function(t,e,r,n,a){this.property=t,this.value=e,this.begin=a+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};la.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,a=this.value.possiblyEvaluate(t,e,r),i=this.prior;if(i){if(n>this.end)return this.prior=null,a;if(this.value.isDataDriven())return this.prior=null,a;if(n<this.begin)return i.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(i.possiblyEvaluate(t,e,r),a,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 a};var ca=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ca.prototype.possiblyEvaluate=function(t,e){for(var r=new fa(this._properties),n=0,a=Object.keys(this._values);n<a.length;n+=1){var i=a[n];r._values[i]=this._values[i].possiblyEvaluate(t,e)}return r},ca.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ua=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ua.prototype.getValue=function(t){return x(this._values[t].value)},ua.prototype.setValue=function(t,e){this._values[t]=new ia(this._values[t].property,null===e?void 0:x(e))},ua.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a)}return t},ua.prototype.possiblyEvaluate=function(t,e){for(var r=new fa(this._properties),n=0,a=Object.keys(this._values);n<a.length;n+=1){var i=a[n];r._values[i]=this._values[i].possiblyEvaluate(t,e)}return r};var ha=function(t,e,r){this.property=t,this.value=e,this.parameters=r};ha.prototype.isConstant=function(){return\"constant\"===this.value.kind},ha.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},ha.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var fa=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};fa.prototype.get=function(t){return this._values[t]};var pa=function(t){this.specification=t};pa.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pa.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var da=function(t,e){this.specification=t,this.overrides=e};da.prototype.possiblyEvaluate=function(t,e,r,n){return new ha(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},da.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 ha(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new ha(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},da.prototype.evaluate=function(t,e,r,n,a,i){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,a,i)};var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new ha(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n),i=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof a?a.name:a,o=this._calculate(i,i,i,e);return new ha(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 ha(this,{kind:\"constant\",value:s},e)}return new ha(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,a,i){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,a,i);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}(da),ma=function(t){this.specification=t};ma.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n);return this._calculate(a,a,a,e)}return this._calculate(t.expression.evaluate(new aa(Math.floor(e.zoom-1),e)),t.expression.evaluate(new aa(Math.floor(e.zoom),e)),t.expression.evaluate(new aa(Math.floor(e.zoom+1),e)),e)}},ma.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},ma.prototype.interpolate=function(t){return t};var va=function(t){this.specification=t};va.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},va.prototype.interpolate=function(){return!1};var ya=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 ia(r,void 0),a=this.defaultTransitionablePropertyValues[e]=new oa(r);this.defaultTransitioningPropertyValues[e]=a.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn(\"DataDrivenProperty\",da),Dn(\"DataConstantProperty\",pa),Dn(\"CrossFadedDataDrivenProperty\",ga),Dn(\"CrossFadedProperty\",ma),Dn(\"ColorRampProperty\",va);var xa=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=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 ua(r.layout)),r.paint)){for(var n in this._transitionablePaint=new sa(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var a in e.layout)this.setLayoutProperty(a,e.layout[a],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned()}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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){void 0===r&&(r={}),null!=e&&this._validate(En,\"layers.\"+this.id+\".layout.\"+t,t,e,r)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,\"layers.\"+this.id+\".paint.\"+t,t,e,r))return!1;if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var n=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===n.property.specification[\"property-type\"],i=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||i||a||this._handleOverridablePaintPropertyUpdate(t,o,s)},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,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,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),y(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,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,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 ha&&Lr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),ba={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_a=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},wa=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var a=ba[t.type].BYTES_PER_ELEMENT,i=r=ka(r,Math.max(e,a)),o=t.components||1;return n=Math.max(n,a),r+=a*o,{name:t.name,type:t.type,components:o,offset:i}})),size:ka(r,Math.max(n,e)),alignment:e}}function ka(t,e){return Math.ceil(t/e)*e}wa.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wa.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},wa.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wa.prototype.clear=function(){this.length=0},wa.prototype.resize=function(t){this.reserve(t),this.length=t},wa.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)}},wa.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wa);Ma.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2i4\",Ma);var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,this.int16[i+3]=a,t},e}(wa);Aa.prototype.bytesPerElement=8,Dn(\"StructArrayLayout4i8\",Aa);var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,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]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(wa);Sa.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i4i12\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var 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e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,a,i,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,a,i,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=a,this.uint16[p+4]=i,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(wa);La.prototype.bytesPerElement=24,Dn(\"StructArrayLayout4i4ui4i24\",La);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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 a=3*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t},e}(wa);Pa.prototype.bytesPerElement=12,Dn(\"StructArrayLayout3f12\",Pa);var Ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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){return this.uint32[1*t+0]=e,t},e}(wa);Ia.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1ul4\",Ia);var za=function(t){function e(){t.apply(this,arguments)}return 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ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(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){return this.float32[1*t+0]=e,t},e}(wa);ja.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1f4\",ja);var Ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return 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e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var fi=Math.pow(2,53)-1;function pi(t){var e=+t;return!isNaN(e)&&e<=fi?e:ci(String(t))}function di(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Dn(\"FeaturePositionMap\",hi);var gi=function(t,e){this.gl=t.gl,this.location=e},mi=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)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(gi),vi=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)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(gi),yi=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)).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}(gi),xi=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]||(this.current=t,this.gl.uniform3f(this.location,t[0],t[1],t[2]))},e}(gi),bi=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0,0]}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))},e}(gi),_i=function(t){function e(e,r){t.call(this,e,r),this.current=Kt.transparent}return 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Mi=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};Mi.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Mi.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new _i(t,e):new vi(t,e)};var Ai=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ai.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ai.prototype.setUniform=function(t,e,r,n){var a=\"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;a&&t.set(a)},Ai.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new bi(t,e):new vi(t,e)};var Si=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};Si.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.paintVertexArray.length,o=this.expression.evaluate(new aa(0),e,{},n,[],a);this.paintVertexArray.resize(t),this._setPaintValue(i,t,o)},Si.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,a)},Si.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=ki(r),a=t;a<e;a++)this.paintVertexArray.emplace(a,n[0],n[1]);else{for(var i=t;i<e;i++)this.paintVertexArray.emplace(i,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Si.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))},Si.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ei=function(t,e,r,n,a,i){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=a,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 i};Ei.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.expression.evaluate(new aa(this.zoom),e,{},n,[],a),o=this.expression.evaluate(new aa(this.zoom+1),e,{},n,[],a),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,i,o)},Ei.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:this.zoom},r,n),i=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,a,i)},Ei.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var a=ki(r),i=ki(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,a[0],a[1],i[0],i[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))}},Ei.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))},Ei.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ei.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ei.prototype.getBinding=function(t,e,r){return new vi(t,e)};var Ci=function(t,e,r,n,a,i){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=i,this.zoomInPaintVertexArray=new a,this.zoomOutPaintVertexArray=new a};Ci.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)},Ci.prototype.updatePaintArray=function(t,e,r,n,a){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],a)},Ci.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var a=n[r.min],i=n[r.mid],o=n[r.max];if(a&&i&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],a.tl[0],a.tl[1],a.br[0],a.br[1],i.pixelRatio,a.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],i.pixelRatio,o.pixelRatio)}},Ci.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oi.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oi.members,this.expression.isStateDependent))},Ci.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Li=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof ha&&Lr(o.property.specification)){var s=Ii(i,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,h=o.property.specification[\"property-type\"],f=\"cross-faded\"===h||\"cross-faded-data-driven\"===h;if(\"constant\"===l.kind)this.binders[i]=f?new Ai(l.value,s):new Mi(l.value,s,c),a.push(\"/u_\"+i);else if(\"source\"===l.kind||f){var p=zi(i,c,\"source\");this.binders[i]=f?new Ci(l,c,u,e,p,t.id):new Si(l,s,c,p),a.push(\"/a_\"+i)}else{var d=zi(i,c,\"composite\");this.binders[i]=new Ei(l,s,c,u,e,d),a.push(\"/z_\"+i)}}}this.cacheKey=a.sort().join(\"\")};Li.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Si||e instanceof Ei?e.maxValue:0},Li.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders){var o=this.binders[i];(o instanceof Si||o instanceof Ei||o instanceof Ci)&&o.populatePaintArray(t,e,r,n,a)}},Li.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ai&&n.setConstantPatternPositions(t,e)}},Li.prototype.updatePaintArrays=function(t,e,r,n,a){var i=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof Si||f instanceof Ei||f instanceof Ci)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],a),i=!0}}}return i},Li.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Mi||r instanceof Ai)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},Li.prototype.getPaintVertexBuffers=function(){return this._buffers},Li.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var a=this.binders[n];if(a instanceof Mi||a instanceof Ai||a instanceof Ei)for(var i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},Li.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},Li.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ci){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Si||r instanceof Ei)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},Li.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Si||r instanceof Ei||r instanceof Ci)&&r.upload(t)}this.updatePaintBuffers()},Li.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Si||e instanceof Ei||e instanceof Ci)&&e.destroy()}};var Pi=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=new Li(o,r,n,t)}this.needsUpload=!1,this._featureMap=new hi,this._bufferOffset=0};function Ii(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 zi(t,e,r){var n={color:{source:Ga,composite:Ya},number:{source:ja,composite:Ga}},a=function(t){return{\"line-pattern\":{source:Ca,composite:Ca},\"fill-pattern\":{source:Ca,composite:Ca},\"fill-extrusion-pattern\":{source:Ca,composite:Ca}}[t]}(t);return a&&a[r]||n[e][r]}Pi.prototype.populatePaintArrays=function(t,e,r,n,a,i){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,a,i);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Pi.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Pi.prototype.get=function(t){return this.programConfigurations[t]},Pi.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Pi.prototype.destroy=function(){for(var t in 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=us(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var hs=fs;function fs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(ps,this,e),this.length=this._features.length}function ps(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var 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 ds(t,e,r){if(3===t){var n=new hs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}fs.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 ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:hs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,a*vs*2,i*vs*2,Math.round(s))}var xs=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 Sa,this.indexArray=new Fa,this.programConfigurations=new Pi(os,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.feature,s=i.id,l=i.index,c=i.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h={type:o.type,id:s,properties:o.properties,geometry:u?Di(o):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:Di(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(f.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.features;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,a){for(var i=0,o=Qo(e,500);i<o.length;i+=1){for(var s=o[i],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((I=d).every((function(t){return t.x<0}))||I.every((function(t){return t.x>8192}))||I.every((function(t){return t.y<0}))||I.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){h.vertexLength+4>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=h.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===ms[t.type]){for(var w=[],T=[],k=h.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=_o(w,T),P=0;P<L.length;P+=3)this.indexArray.emplaceBack(k+L[P],k+L[P+2],k+L[P+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var I;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Dn(\"FillExtrusionBucket\",xs,{omit:[\"layers\",\"features\"]});var _s={paint:new ya({\"fill-extrusion-opacity\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ga(At[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},ws=function(t){function e(e){t.call(this,e,_s)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new xs(t)},e.prototype.queryRadius=function(){return Ji(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 c=Ki(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];io(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=[],y=[],x=0,b=m[g];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],M=n[1]*w+n[5]*T+n[13],A=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=A+c,C=S+u,L=k+h,P=M+f,I=A+p,z=S+d,O=new a((k+s)/C,(M+l)/C);O.z=E/C,v.push(O);var D=new a(L/z,P/z);D.z=I/z,y.push(D)}i.push(v),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;ji(r,e)&&(n=ks(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=[l,i[s+1],o[s+1],o[s],l];Bi(r,c)&&(n=Math.min(n,ks(r,c)))}return n!==1/0&&n}(p[0],p[1],f)},e}(xa);function Ts(t,e){return t.x*e.x+t.y*e.y}function ks(t,e){if(1===t.length){for(var r,n=0,a=e[n++];!r||a.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var i=e[n],o=t[0],s=r.sub(a),l=i.sub(a),c=o.sub(a),u=Ts(s,s),h=Ts(s,l),f=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*f-h*h,m=(f*p-h*d)/g,v=(u*d-h*p)/g,y=a.z*(1-m-v)+r.z*m+i.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=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 Ea,this.indexArray=new Fa,this.programConfigurations=new Pi(Ms,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Cs.prototype.populate=function(t,e,r){this.hasPattern=ts(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),a=[],i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:f?Di(l):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),p,r)){f||(p.geometry=Di(l));var d=n?n.evaluate(p,{},r):void 0;a.push({id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:p.geometry,patterns:{},sortKey:d})}}n&&a.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,m=a;g<m.length;g+=1){var v=m[g],y=v.geometry,x=v.index,b=v.sourceLayerIndex;if(this.hasPattern){var _=es(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(_)}else this.addFeature(v,y,x,r,{});e.featureIndex.insert(t[x].feature,y,x,b,this.index)}},Cs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Cs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.patternFeatures;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},Cs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Cs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Cs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ms),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Cs.prototype.addFeature=function(t,e,r,n,a){for(var i=this.layers[0].layout,o=i.get(\"line-join\").evaluate(t,{}),s=i.get(\"line-cap\"),l=i.get(\"line-miter-limit\"),c=i.get(\"line-round-limit\"),u=0,h=e;u<h.length;u+=1)this.addLine(h[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Cs.prototype.addLine=function(t,e,r,n,a,i){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\"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(a=1.05);var u,h=this.overscaling<=16?122880/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(m=t[c].sub(u=t[l-2])._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Ss&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var M=u.dist(p);if(M>2*h){var A=u.sub(u.sub(p)._mult(h/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,g,0,0,f),p=A}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<i?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>a&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<a&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,f);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var C=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,y,0,0,f),this.addCurrentVertex(u,y.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(_*_-1),P=k?L:0,I=k?0:L;if(p&&this.addCurrentVertex(u,g,P,I,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,m,-P,-I,f)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,f),this.addCurrentVertex(u,g,1,1,f,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,f,!0),this.addCurrentVertex(u,m,0,0,f)));if(T&&v<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,f),u=j}}}}},Cs.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,i,!1,r,a),this.addHalfVertex(t,o,s,i,!0,-n,a),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Cs.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),a?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Ls=new ya({\"line-cap\":new pa(At.layout_line[\"line-cap\"]),\"line-join\":new da(At.layout_line[\"line-join\"]),\"line-miter-limit\":new pa(At.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new pa(At.layout_line[\"line-round-limit\"]),\"line-sort-key\":new da(At.layout_line[\"line-sort-key\"])}),Ps={paint:new ya({\"line-opacity\":new da(At.paint_line[\"line-opacity\"]),\"line-color\":new da(At.paint_line[\"line-color\"]),\"line-translate\":new pa(At.paint_line[\"line-translate\"]),\"line-translate-anchor\":new pa(At.paint_line[\"line-translate-anchor\"]),\"line-width\":new da(At.paint_line[\"line-width\"]),\"line-gap-width\":new da(At.paint_line[\"line-gap-width\"]),\"line-offset\":new da(At.paint_line[\"line-offset\"]),\"line-blur\":new da(At.paint_line[\"line-blur\"]),\"line-dasharray\":new ma(At.paint_line[\"line-dasharray\"]),\"line-pattern\":new ga(At.paint_line[\"line-pattern\"]),\"line-gradient\":new va(At.paint_line[\"line-gradient\"])}),layout:Ls},Is=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new aa(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,a){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,a)},e}(da))(Ps.paint.properties[\"line-width\"].specification);Is.useIntegerZoom=!0;var zs=function(t){function e(e){t.call(this,e,Ps)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){this.gradient=mo(this._transitionablePaint._values[\"line-gradient\"].value.expression,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=Is.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new Cs(t)},e.prototype.queryRadius=function(t){var e=t,r=Os(Xi(\"line-width\",this,e),Xi(\"line-gap-width\",this,e)),n=Xi(\"line-offset\",this,e);return r/2+Math.abs(n)+Ji(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Ki(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Os(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(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 c=o[l],u=o[l+1],h=0===l?n:c.sub(o[l-1])._unit()._perp(),f=l===o.length-1?n:u.sub(c)._unit()._perp(),p=h._add(f)._unit();p._mult(1/(p.x*f.x+p.y*f.y)),s.push(p._mult(e)._add(c))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var a=e[n];if(t.length>=3)for(var i=0;i<a.length;i++)if(Wi(t,a[i]))return!0;if(Ui(t,a,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(xa);function Os(t,e){return e>0?e+2*t:t}var 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n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Xs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Xs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,al,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var fl=function(t,e){var r=e.pixelRatio,n=e.version,a=e.stretchX,i=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=a,this.stretchY=i,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(fl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=hl(a),o=new po({width:i.w||1,height:i.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var h=e[u],f=n[u].paddedRect,p=f.x+1,d=f.y+1,g=h.data.width,m=h.data.height;po.copy(h.data,o,{x:0,y:0},{x:p,y:d},h.data),po.copy(h.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(h.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(h.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(h.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new fl(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn(\"ImagePosition\",fl),Dn(\"ImageAtlas\",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=vl.fromFeature(t,a);h===gl.vertical&&v.verticalizePunctuation();var y=na.processBidirectionalText,x=na.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,i,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,i,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(v,Ml(v,c,i,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=a;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,P=null,I=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn[\"Arabic Supplement\"](H)||Vn[\"Arabic Extended-A\"](H)||Vn[\"Arabic Presentation Forms-A\"](H)||Vn[\"Arabic Presentation Forms-B\"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/h,L=w+(24-F[1]*S.scale),O=(P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)I=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;P=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=P.advance*S.scale+c)}0!==k.length&&(d=Math.max(f-c,d),Sl(k,0,k.length-1,m,M)),f=0;var q=i*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=i,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,a,i,o,s,l){var c,u=(e-r)*a;c=i!==o?-s*n- 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n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;e+=n&&Gn(n)&&!Us[t[r+1]]||a&&Gn(a)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.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(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(t,e,r,n,a,i){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/i+a:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+a:0}function wl(t,e,r,n){var a=Math.pow(t-e,2);return n?t<e?a/2:2*a:a+Math.abs(r)*r}function Tl(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 kl(t,e,r,n,a,i){for(var o=null,s=wl(e,r,a,i),l=0,c=n;l<c.length;l+=1){var u=c[l],h=wl(e-u.x,r,a,i)+u.badness;h<=s&&(o=u,s=h)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,a,i,o){if(\"point\"!==i)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,a,i){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(t.getCharCode(s),l,n,a,e,i)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,a,o),u=t.text.indexOf(\"\\u200b\")>=0,h=0,f=0;f<t.length();f++){var p=t.getSection(f),d=t.getCharCode(f);if(xl[d]||(h+=_l(d,p,n,a,e,o)),f<t.length()-1){var g=!((s=d)<11904||!(Vn[\"Bopomofo Extended\"](s)||Vn.Bopomofo(s)||Vn[\"CJK Compatibility Forms\"](s)||Vn[\"CJK Compatibility Ideographs\"](s)||Vn[\"CJK Compatibility\"](s)||Vn[\"CJK Radicals Supplement\"](s)||Vn[\"CJK Strokes\"](s)||Vn[\"CJK Symbols and Punctuation\"](s)||Vn[\"CJK Unified Ideographs Extension A\"](s)||Vn[\"CJK Unified 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,h,f,p,d=e.left*i,g=e.right*i;\"width\"===r||\"both\"===r?(p=a[0]+d-n[3],h=a[0]+g+n[1]):h=(p=a[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*i,v=e.bottom*i;return\"height\"===r||\"both\"===r?(u=a[1]+m-n[0],f=a[1]+v+n[2]):f=(u=a[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:h,bottom:f,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,r,n,a){t.call(this,e,r),this.angle=n,void 0!==a&&(this.segment=a)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);function Ll(t,e){var 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zl=Object.freeze({__proto__:null,getSizeData:Ll,evaluateSizeForFeature:Pl,evaluateSizeForZoom:Il,SIZE_PACK_FACTOR:128});function Ol(t,e,r,n,a){if(void 0===e.segment)return!0;for(var i=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(i),i=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o],h=t[o+1];if(!h)return!1;var f=t[o-1].angleTo(u)-u.angleTo(h);for(f=Math.abs((f+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:f}),c+=f;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>a)return!1;o++,s+=u.dist(h)}return!0}function Dl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Rl(t,e,r){return t?.6*e*r:0}function Fl(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Bl(t,e,r,n,a,i){for(var o=Rl(r,a,i),s=Fl(r,n)*i,l=0,c=Dl(t)/2,u=0;u<t.length-1;u++){var h=t[u],f=t[u+1],p=h.dist(f);if(l+p>c){var d=(c-l)/p,g=Ue(h.x,f.x,d),m=Ue(h.y,f.y,d),v=new Cl(g,m,f.angleTo(h),u);return v._round(),!o||Ol(t,v,s,o,e)?v:void 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f=Hl(n.stretch-x,b,u,t.left),p=Gl(n.fixed-T,k,n.stretch,g),d=Hl(i.stretch-_,w,h,t.top),v=Gl(i.fixed-M,A,i.stretch,m),y=Hl(l.stretch-x,b,u,t.left),S=Gl(l.fixed-T,k,l.stretch,g),E=Hl(c.stretch-_,w,h,t.top),C=Gl(c.fixed-M,A,c.stretch,m),L=new a(f,d),P=new a(y,d),I=new a(y,E),z=new a(f,E),O=new a(p/s,v/s),D=new a(S/s,C/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];L._matMult(N),P._matMult(N),z._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=i.stretch+i.fixed;return{tl:L,tr:P,bl:z,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+U,w:l.stretch+l.fixed-j,h:c.stretch+c.fixed-U},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:O,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:A/s/h,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var C=ql(f,v,g),L=ql(p,y,m),P=0;P<C.length-1;P++)for(var I=C[P],z=C[P+1],O=0;O<L.length-1;O++)i.push(E(I,L[O],z,L[O+1]));else 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a(y,m),k=u*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),v=Math.min(b.x,_.x,w.x,T.x),y=Math.max(b.x,_.x,w.x,T.x),g=Math.min(b.y,_.y,w.y,T.y),m=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,v,g,y,m,r,n,i)}this.boxEndIndex=t.length},Wl=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Zl),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Zl(t,e){return t<e?-1:t>e?1:0}function Xl(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<i)&&(i=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=Math.min(o-n,s-i),f=h/2,p=new Wl([],Jl);if(0===h)return new a(n,i);for(var d=n;d<o;d+=h)for(var g=i;g<s;g+=h)p.push(new Kl(d+f,g+f,f,t));for(var m=function(t){for(var e=0,r=0,n=0,a=t[0],i=0,o=a.length,s=o-1;i<o;s=i++){var l=a[i],c=a[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new 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k=s[m.imageName];x=k.sdf,y=1/(b=k.pixelRatio)}var M=i?[m.x+T,m.y]:[0,0],A=i?[0,0]:[m.x+T+r[0],m.y+r[1]-_],S=[0,0];w&&(S=A,A=[0,0]);var E=(m.metrics.left-y)*m.scale-T+A[0],C=(-m.metrics.top-y)*m.scale+A[1],L=E+v.w*m.scale/b,P=C+v.h*m.scale/b,I=new a(E,C),z=new a(L,C),O=new a(E,P),D=new a(L,P);if(w){var R=new a(-T,T- -17),F=-Math.PI/2,B=12-T,N=new a(22-B,-(m.imageName?B:0)),j=new(Function.prototype.bind.apply(a,[null].concat(S)));I._rotateAround(F,R)._add(N)._add(j),z._rotateAround(F,R)._add(N)._add(j),O._rotateAround(F,R)._add(N)._add(j),D._rotateAround(F,R)._add(N)._add(j)}if(c){var U=Math.sin(c),V=Math.cos(c),q=[V,-U,U,V];I._matMult(q),z._matMult(q),O._matMult(q),D._matMult(q)}var H=new a(0,0),G=new a(0,0);u.push({tl:I,tr:z,bl:O,br:D,tex:v,writingMode:e.writingMode,glyphOffset:M,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:H,pixelOffsetBR:G,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,i,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*i.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. 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Fa,this.programConfigurations=t,this.segments=new ai,this.dynamicLayoutVertexArray=new Pa,this.opacityVertexArray=new Ia,this.placedSymbolArray=new Ja};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ic,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn(\"SymbolBuffers\",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ai,this.collisionVertexArray=new Ra};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn(\"CollisionBuffers\",uc);var hc=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=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e[\"text-size\"]),this.iconSizeData=Ll(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1),this.sortFeaturesByY=(\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey)&&(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 gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $a,this.lineVertexArray=new ti,this.symbolInstances=new Qa},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=Us[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],a=n.layout,i=a.get(\"text-font\"),o=a.get(\"text-field\"),s=a.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==i.value.kind||i.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=a.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new aa(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Di(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Di(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ea()||this.hasRTLText&&na.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Di(y),properties:y.properties,type:ac[y.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var P=i.evaluate(T,{},r).join(\",\"),I=\"map\"===a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||P,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}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 c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.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))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.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},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[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--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,i.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=i.text&&i.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,P,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,P,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,i,i.index,{},h,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var a=t;a<e;a++){var i=this.collisionBoxArray.get(a);this.addCollisionDebugVertices(i.x1,i.y1,i.x2,i.y2,n?this.textCollisionBox:this.iconCollisionBox,i.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oa,Bs.members,qa),this.iconCollisionBox=new uc(Oa,Bs.members,qa);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)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<a;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=i;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},hc.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))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,a=r.vertexStartIndex;a<n;a+=4)t.indexArray.emplaceBack(a,a+1,a+2),t.indexArray.emplaceBack(a+1,a+2,a+3)},hc.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=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort((function(t,e){return n[t]-n[e]||a[e]-a[t]})),i},hc.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})},hc.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 a=this.symbolInstances.get(n[r]);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)}},Dn(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=sc;var fc=new ya({\"symbol-placement\":new pa(At.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new pa(At.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new pa(At.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new da(At.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new pa(At.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new pa(At.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new pa(At.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new pa(At.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new pa(At.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new da(At.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new pa(At.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new pa(At.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new da(At.layout_symbol[\"icon-image\"]),\"icon-rotate\":new da(At.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new pa(At.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new pa(At.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new da(At.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new da(At.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new pa(At.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new pa(At.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new pa(At.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new da(At.layout_symbol[\"text-field\"]),\"text-font\":new da(At.layout_symbol[\"text-font\"]),\"text-size\":new da(At.layout_symbol[\"text-size\"]),\"text-max-width\":new da(At.layout_symbol[\"text-max-width\"]),\"text-line-height\":new pa(At.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new da(At.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new da(At.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new da(At.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new pa(At.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new da(At.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new pa(At.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new pa(At.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new da(At.layout_symbol[\"text-rotate\"]),\"text-padding\":new pa(At.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new pa(At.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new da(At.layout_symbol[\"text-transform\"]),\"text-offset\":new da(At.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new pa(At.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new pa(At.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new pa(At.layout_symbol[\"text-optional\"])}),pc={paint:new ya({\"icon-opacity\":new da(At.paint_symbol[\"icon-opacity\"]),\"icon-color\":new da(At.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new da(At.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new da(At.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new da(At.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new pa(At.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new pa(At.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new da(At.paint_symbol[\"text-opacity\"]),\"text-color\":new da(At.paint_symbol[\"text-color\"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new da(At.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new da(At.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new da(At.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new pa(At.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new pa(At.paint_symbol[\"text-translate-anchor\"])}),layout:fc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.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},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn(\"FormatSectionOverride\",dc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"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 a=[],i=0,o=n;i<o.length;i+=1){var s=o[i];a.indexOf(s)<0&&a.push(s)}this.layout._values[\"text-writing-mode\"]=a}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var a=this.layout.get(t).evaluate(e,{},r,n),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||Vr(i.value)||!a?a:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,a)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new dc(i),s=new Ur(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Hr(\"source\",s):new Gr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new ha(i.property,a,i.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=pc.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(a=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof te)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){a||(t instanceof oe&&ae(t.value)===Vt?i(t.value.sections):t instanceof ue?i(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e}(xa),mc={paint:new ya({\"background-color\":new pa(At.paint_background[\"background-color\"]),\"background-pattern\":new ma(At.paint_background[\"background-pattern\"]),\"background-opacity\":new pa(At.paint_background[\"background-opacity\"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),yc={paint:new ya({\"raster-opacity\":new pa(At.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new pa(At.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new pa(At.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new pa(At.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new pa(At.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new pa(At.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new pa(At.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new pa(At.paint_raster[\"raster-fade-duration\"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(xa),_c={circle:oo,heatmap:vo,hillshade:xo,fill:is,\"fill-extrusion\":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||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)),i)this.size=[n,a],t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.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)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=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()})};Ec.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))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=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 Ec(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Lc(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]}Cc.prototype.send=function(t,e,r,n,a){var i=this;void 0===a&&(a=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:a,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete i.callbacks[o],i.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:i.mapId})}}},Cc.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 k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.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)}},Cc.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(jn(e.error)):n(null,jn(e.data)))}else{var a=!1,i=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){a=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,i)},i)}:function(t){a=!0},s=null,l=jn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!a&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=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]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Ic)e=t,r=t;else{if(!(t instanceof Pc))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Pc.convert(t)):this.extend(Ic.convert(t)):this;if(r=t._ne,!(e=t._sw)||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Ic(e.lng,e.lat),this._ne=new Ic(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Ic((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Ic(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Ic(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Ic.convert(t),r=e.lng,n=e.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),this._sw.lat<=n&&n<=this._ne.lat&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=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\")};Ic.prototype.wrap=function(){return new Ic(c(this.lng,-180,180),this.lat)},Ic.prototype.toArray=function(){return[this.lng,this.lat]},Ic.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ic.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,a=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(a,1))},Ic.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 Pc(new Ic(this.lng-r,this.lat-e),new Ic(this.lng+r,this.lat+e))},Ic.convert=function(t){if(t instanceof Ic)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ic(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ic(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 zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ic.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Ic(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,a,i,o,s=(n=this.y,a=this.z,i=Lc(256*(r=this.x),256*(n=Math.pow(2,a)-n-1),a),o=Lc(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(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)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+a),this.key=qc(e,t,r,n,a)};function qc(t,e,r,n,a){(t*=2)<0&&(t=-1*t-1);var i=1<<r;return(i*i*t+i*a+n).toString(36)+r.toString(36)+e.toString(36)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.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},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(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 Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.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))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn(\"CanonicalTileID\",jc),Dn(\"OverscaledTileID\",Vc,{omit:[\"posMatrix\"]});var Hc=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 _('\"'+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 a=0;a<n;a++)this.data[this._idx(-1,a)]=this.data[this._idx(0,a)],this.data[this._idx(n,a)]=this.data[this._idx(n-1,a)],this.data[this._idx(a,-1)]=this.data[this._idx(a,0)],this.data[this._idx(a,n)]=this.data[this._idx(a,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)]};Hc.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])},Hc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.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)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn(\"DEMData\",Hc);var Gc=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}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=function(t,e,r,n,a){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=a},Wc={geometry:{configurable:!0}};Wc.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},Wc.geometry.set=function(t){this._geometry=t},Yc.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(Yc.prototype,Wc);var Zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Zc.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]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=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]},Zc.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}},Zc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var a=this.deletedStates[t][e];if(null===a)return{};for(var i in a)delete n[i]}return n},Zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),u(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}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 c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var h=0,f=Object.keys(this.deletedStates[o][c]);h<f.length;h+=1)delete this.state[o][c][f[h]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].setFeatureState(r,e)};var Xc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ri,this.promoteId=e};function Jc(t,e,r,n,a){return v(t,(function(t,i){var o=e instanceof fa?e.get(i):null;return o&&o.evaluate?o.evaluate(r,n,a):o}))}function Kc(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Qc(t,e){return e-t}Xc.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Xc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Xc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Kc(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(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 c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Wi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Zi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<g.length;d+=1)f.push(g[d]);f.sort(Qc);for(var m,v={},y=function(a){var u=f[a];if(u!==m){m=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Di(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<f.length;x++)y(x);return v},Xc.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,h)){var f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(a.filter(new aa(this.tileID.overscaledZ),p))for(var d=this.getId(p,f),g=0;g<h.length;g++){var m=h[g];if(!(i&&i.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Xc.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i,o,s){var l={};this.loadVTLayers();for(var c=rn(a),u=0,h=t;u<h.length;u+=1)this.loadMatchingFeature(l,r,n,h[u],c,i,o,s,e);return l},Xc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},Xc.prototype.getId=function(t,e){var r=t.id;return this.promoteId&&\"boolean\"==typeof(r=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn(\"FeatureIndex\",Xc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var $c=function(t,e){this.tileID=t,this.uid=f(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},$c.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=i[a],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)r[s[o].id]=t}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var i in this.buckets){var o=this.buckets[i];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,na.isLoading()||na.isLoaded()||\"deferred\"!==ea()||ra();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 Za},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:a,scale:i,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),a=e?e.sourceLayer:\"\",i=n._geojsonTileLayer||n[a];if(i)for(var o=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<i.length;f++){var p=i.feature(f);if(o.filter(new aa(this.tileID.overscaledZ),p)){var d=r.getId(p,a),g=new Yc(p,l,c,u,d);g.tile=h,t.push(g)}}}},$c.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},$c.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)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];if(o&&s&&0!==Object.keys(s).length){a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&l.paint&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(a)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.prototype.setDependencies=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1)r[a[n]]=!0;this.dependencies[t]=r},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var a=this.dependencies[n[r]];if(a)for(var i=0,o=e;i<o.length;i+=1)if(a[o[i]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=fo,t.CanonicalTileID=jc,t.CollisionBoxArray=Za,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pa,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=aa,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Xc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=fl,t.LineBucket=Cs,t.LngLat=Ic,t.LngLatBounds=Pc,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=a,t.Point$1=a,t.Properties=ya,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ft,t.SegmentVector=ai,t.SourceFeatureState=Zc,t.StructArrayLayout1ui2=Ha,t.StructArrayLayout2f1f2i16=Da,t.StructArrayLayout2i4=Ma,t.StructArrayLayout3ui6=Fa,t.StructArrayLayout4i8=Aa,t.SymbolBucket=hc,t.Texture=Sc,t.Tile=$c,t.Transitionable=sa,t.Uniform1f=vi,t.Uniform1i=mi,t.Uniform2f=yi,t.Uniform3f=xi,t.Uniform4f=bi,t.UniformColor=_i,t.UniformMatrix4f=Ti,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,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=sc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,a=new Array(t.length),i=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(i=t),a[o]=e,0==--n&&r(i,a)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",it),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=jl,t.clone=function(t){var e=new to(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=x,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return 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r}function ht(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ft(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(pt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function pt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function dt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function gt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?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++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function vt(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++)J(r,t.features[n],e,n);else J(r,\"Feature\"===t.type?t:{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,a=rt(t,1,-1-r,r,0,-1,2,e),i=rt(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=ut(a,1).concat(n)),i&&(n=n.concat(ut(i,-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 yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(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 a=new g(n.features),i=b(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}F.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=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(N(t[l],l));this.trees[a+1]=new D(s,G,Y,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},F.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(V(r),q(i),V(a),q(n));u<h.length;u+=1){var f=l.points[h[u]];c.push(f.numPoints?j(f):this.points[f.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=a.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.radius/i.extent,s=(r-o)/a,l=(r+1+o)/a,c={features:[]};return this._addTileFeatures(n.range((e-o)/a,s,(e+1+o)/a,l),n.points,e,r,a,c),0===e&&this._addTileFeatures(n.range(1-o/a,s,1,l),n.points,a,r,a,c),e===a-1&&this._addTileFeatures(n.range(0,s,o/a,l),n.points,-1,r,a,c),c.features.length?c:null},F.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},F.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},F.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:c?U(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),i.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.reduce,i=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,i),u=s.numPoints||1,h=s.x*u,f=s.y*u,p=a&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;h+=v.x*y,f+=v.y*y,u+=y,v.parentId=d,a&&(p||(p=this._map(s,!0)),a(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(h/u,f/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=yt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=dt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,f.minX,f.maxX,l),b=rt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,f.minY,f.maxY,l),m=rt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,f.minY,f.maxY,l),y=rt(b,u,n+w,n+k,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},vt.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ft(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[yt(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ft(this.tiles[s],a):null):null};var bt=function(e){function r(t,r,n,a){e.call(this,t,r,n,xt),a&&(this.loadGeoJSON=a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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 a=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){var n,a=e&&e.type;if(\"FeatureCollection\"===a)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===a)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===a)t(e.geometry,r);else if(\"Polygon\"===a)h(e.coordinates,r);else if(\"MultiPolygon\"===a)for(n=0;n<e.coordinates.length;n++)h(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=t.createExpression(f[1]),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=d.value,i[h]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].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 a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new vt(t,e)}(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.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;return n&&n[t.uid]?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),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},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 _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.prototype.setImages=function(t,e,r){this.availableImages[t]=e,r()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.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()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var a=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=a){this.self.importScripts(a);var i=t.plugin.isParsed();n(i?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+a),i)}}catch(t){n(t.toString())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new this.workerSourceTypes[e]({send:function(e,r,a){n.actor.send(e,r,a,t)}},this.getLayerIndex(t),this.getAvailableImages(t))),this.workerSources[t][e][r]},_t.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new u),this.demWorkerSources[t][e]},_t.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new _t(t.window)),_t})),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 document?\"not a browser\":Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON?function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()?\"Uint8ClampedArray\"in window?ArrayBuffer.isView?function(){var 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}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(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 Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,\"passive\"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,\"passive\"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(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\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),a=[],i=0;i<r.length;i++)a.push(new t.Point(r[i].clientX-n.left-e.clientLeft,r[i].clientY-n.top-e.clientTop));return a},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e];this._notify(n.ids,n.callback)}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,a=t;n<a.length;n+=1){var i=a[n];if(i[0]<r||i[1]<i[0]||e<i[1])return!1;r=i[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,a=t;n<a.length;n+=1)this.images[a[n]]||(r=!1);this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var 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 a={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new t.ImagePosition(a,n);this.patterns[e]={bin:a,position:i}}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),a=n.w,i=n.h,o=this.atlasImage;for(var s in o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{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 a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"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 v(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}m.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 a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/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,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1)a.push({stack:i,id:s[o]});t.asyncAll(a,(function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(i.ranges[s])e(null,{stack:r,id:a,glyph:o});else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);i.ranges[s]=!0}for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})}))}}else e(null,{stack:r,id:a,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.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 a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(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=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)).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 a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},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),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.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]},T.prototype.getDashRanges=function(t,e,r){var n=[],a=t.length%2==1?-t[t.length-1]*r:0,i=t[0]*r,o=!0;n.push({left:a,right:i,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:a=s*r,right:i=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,a=-r;a<=r;a++)for(var i=this.width*(this.nextRow+r+a),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),h=Math.min(c,u),f=void 0,p=a/r*(n+1);if(s.isDash){var d=n-Math.abs(p);f=Math.sqrt(h*h+d*d)}else f=n-Math.sqrt(h*h+p*p);this.data[i+l]=Math.max(0,Math.min(255,f+128))}},T.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 a=t[0],i=t[t.length-1];a.isDash===i.isDash&&(a.left=i.left-this.width,i.right=a.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?f:-f)+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];if(0!==i){var s=this.width/i,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,c},T.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 k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=new e.Actor(a[i],n,this.id);o.name=\"Worker \"+i,this.actors.push(o)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.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),a):t.browser.frame((function(){return a(null,e)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.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]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,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(i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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 A(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)),a={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 i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.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),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),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)).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 A(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,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),(function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,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,a,i){e.call(this,r,n,a,i),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)).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 a(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,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(i){this.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=t.window.ImageBitmap&&i instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?i:t.browser.getImageData(i,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,a.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),a=(r.x-1+n)%n,i=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,i,r.z,a,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,i,r.z,a,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,i,r.z,a,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}(E),L=function(e){function r(r,n,a,i){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=a.getActor(),this.setEventedParent(i),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)).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),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,(function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.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,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor,e.request=this.actor.send(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},(function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),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),P=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,a){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(a),this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,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,a=-1/0,i=-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),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=Math.max(a-r,i-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),h=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+a)/2*h),Math.floor((n+i)/2*h))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[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,P.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 a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.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),z=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1)this.urls.push(this.map._requestManager.transformRequest(a[n],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,P.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 a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.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),O=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),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)).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 a in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.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 i=this.tiles[a];\"loaded\"!==i.state&&(i.state=\"loaded\",i.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),D={vector:S,raster:E,\"raster-dem\":C,geojson:L,video:z,image:I,canvas:O};function R(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 F(t,e,r,n,a,i){var o=function(t,e,r){if(t)for(var n=0,a=t;n<a.length;n+=1){var i=e[a[n]];if(i&&i.source===r&&\"fill-extrusion\"===i.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}(a&&a.layers,e,t.id),s=i.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,a,i,s,R(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.queryResults,s=i.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g))}}return e}(c);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 B(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 N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.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},N.prototype.add=function(t,e,r){var n=this,a=t.wrapped().key;void 0===this.data[a]&&(this.data[a]=[]);var i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((function(){n.remove(t,i)}),r)),this.data[a].push(i),this.order.push(a),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.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},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.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),a=this.data[r][n];return this.data[r].splice(n,1),a.timeout&&clearTimeout(a.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(a.value),this.order.splice(this.order.indexOf(r),1),this},N.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},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,a=this.data[r];n<a.length;n+=1){var i=a[n];t(i.value)||e.push(i)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=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};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var a=t.gl;this.buffer=a.createBuffer(),t.bindVertexBuffer.set(this.buffer),a.bufferData(a.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?a.DYNAMIC_DRAW:a.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var a=this.attributes[n],i=e.attributes[a.name];void 0!==i&&t.vertexAttribPointer(i,a.components,t[U[a.type]],!1,this.itemSize,a.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.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 H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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)).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)).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),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(q),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(q),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(q),et=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 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e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),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)).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),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),_t=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)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function 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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 At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(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\")};Ct.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()},Ct.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},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Ct.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))},Ct.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)},Ct.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)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))})),this.on(\"error\",(function(){i._sourceErrored=!0})),this._source=function(e,r,n,a){var i=new D[r.type](e,r,n,a);if(i.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+i.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],i),i}(r,n,a,this),this._tiles={},this._cache=new N(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)).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(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(a,e)&&n.push(this._tiles[a]);return e?n.sort((function(e,n){var a=e.tileID,i=n.tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).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,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{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 a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].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 a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.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 a=t.scaledTo(n),i=this._getLoadedTile(a);if(i)return i}},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,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(a)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var a=this._tiles[n];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+e),r[a.tileID.key]=a}for(var i in this._tiles=r,this._timers)clearTimeout(this._timers[i]),delete this._timers[i];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=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)})):(a=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&&(a=a.filter((function(t){return n._source.hasTile(t)})))):a=[];var i=e.coveringZoomLevel(this._source),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(It(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,i,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].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={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.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 a=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(a))break;n=a}for(var i=0,o=e;i<o.length;i+=1)this._loadedParentTiles[o[i]]=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 a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];h=Math.min(h,v.x),f=Math.min(f,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(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){this._state.updateState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",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 Pt(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 It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Ya.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(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]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={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 Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Yt(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}var Xt=function(t,e){this.reset(t,e)};Xt.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},Xt.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],a=e*this.paddedLength+this.padding;n<a&&r<this._distances.length;)n=this._distances[++r];var i=r-1,o=this._distances[i],s=n-o,l=s>0?(a-o)/s:0;return this.points[i].mult(1-l).add(this.points[r].mult(l))};var Jt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.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 Kt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Qt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,f);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,h)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,i).point,M={},A=ie(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ie(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,f)}else ce(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function ne(t,e,r,n,a,i,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(h-1),m=se(t*d,r,n,a,i,o,s.segment,f,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,a,i,o,s.segment,f,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ie(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(a&&!n){var M=ae(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,h,f,e.segment,b,_,c,o,p));g.push(w.last)}else{if(a&&!n){var S=$t(f,i).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,i),P=L.signedDistanceFromCamera>0?L.point:oe(f,C,S,1,i),I=ae(e.writingMode,S,P,d);if(I)return I}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,a){var i=$t(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function se(e,r,n,a,i,o,s,l,c,u,h,f){var p=a?e-r:e+r,d=p>0?1:-1,g=0;a&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=i,y=i,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,h);if(k.signedDistanceFromCamera>0)v=f[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,h)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Jt.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)},Jt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Jt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Jt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)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 c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:a,seenUids:{box:{},circle:{}}},i),a?o.length>0:o},Jt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[];return this._forEachCell(i,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},a),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Jt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];i.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var m=this.circleCells[a];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++)if(a.call(this,t,e,r,n,this.xCellCount*p+f,i,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Jt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(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+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function fe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?i/v:i*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,a,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*f*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Xt,E=b.first,C=b.last,L=[],P=E.path.length-1;P>=1;P--)L.push(E.path[P]);for(var I=1;I<C.path.length;I++)L.push(C.path[I]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,Z=Y-k,X=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,Z,X,J),w=w||this.isInsideGrid(W,Z,X,J),!e&&this.grid.hitTestCircle(G,Y,k,h)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]={}),!h[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(h[m.bucketInstanceId][m.featureIndex]=!0,void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]=[]),f[m.bucketInstanceId].push(m.featureIndex))}}return f},he.prototype.insertCollisionBox=function(t,e,r,n,a){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:a},t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return ue(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=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};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,a){this.text=new pe(t?t.text:null,e,r,a),this.icon=new pe(t?t.icon:null,e,n,a)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}function be(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}ye.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 _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}_e.prototype.getBucketParts=function(e,r,n,a){var i=n.getBucket(r),o=n.latestFeatureIndex;if(i&&o&&r.id===i.layerIds[0]){var s=n.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=fe(n,1,this.transform.zoom),g=Kt(h,f,p,this.transform,d),m=null;if(f){var v=Qt(h,f,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[i.bucketInstanceId]=new ve(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,n.tileID);var y={bucket:i,layout:l,posMatrix:h,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(i.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(i.sourceID)};if(a)for(var x=0,b=i.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:i.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=[h.textOffset0,h.textOffset1],v=xe(t,r,n,m,a),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(g=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:a,prevAnchor:g},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.prototype.placeLayerBucketPart=function(e,r,n){var a=this,i=e.parameters,o=i.bucket,s=i.layout,l=i.posMatrix,c=i.textLabelPlaneMatrix,u=i.labelToScreenMatrix,h=i.textPixelRatio,f=i.holdingForFade,p=i.collisionBoxArray,d=i.partiallyEvaluatedTextSize,g=i.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=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=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,i){if(!r[e.crossTileID])if(f)a.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},P=null,I=null,z=0,O=0,D=0;i.textFeatureIndex?z=i.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),i.verticalTextFeatureIndex&&(O=i.verticalTextFeatureIndex);var R=i.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&a.prevPlacement){var i=a.prevPlacement.placedOrientations[e.crossTileID];i&&(a.placedOrientations[e.crossTileID]=i,a.markUsedOrientation(o,n=i,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&i.verticalTextBox)for(var a=0,s=o.writingModes;a<s.length&&(s[a]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));a+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(a.prevPlacement&&a.prevPlacement.variableOffsets[e.crossTileID]){var j=a.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 i=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=a.attemptAnchorPlacement(N[d%N.length],t,i,s,c,b,_,h,l,g,d>=N.length,e,o,n,u);if(m&&(f=m.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=m.shift;break}}return f};B((function(){return U(R,i.iconBox,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,i.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&a.prevPlacement){var q=a.prevPlacement.variableOffsets[e.crossTileID];q&&(a.variableOffsets[e.crossTileID]=q,a.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=a.collisionIndex.placeCollisionBox(t,y,h,l,g.predicate);return n&&n.box&&n.box.length&&(a.markUsedOrientation(o,r,e),a.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\");P=a.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(i.iconFeatureIndex&&(D=i.iconFeatureIndex),i.iconBox){var Z=function(t){var e=w&&E?be(t,E.x,E.y,b,_,a.transform.angle):t;return a.collisionIndex.placeCollisionBox(e,x,h,l,g.predicate)};A=L&&L.box&&L.box.length&&i.verticalIconBox?(I=Z(i.verticalIconBox)).box.length>0:(I=Z(i.iconBox)).box.length>0,S=S&&I.offscreen}var X=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(X||J?J?X||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&a.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&I&&a.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&a.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=a.collisionCircleArrays[K];void 0===Q&&(Q=a.collisionCircleArrays[K]=new me);for(var $=0;$<P.circles.length;$+=4)Q.circles.push(P.circles[$+0]),Q.circles.push(P.circles[$+1]),Q.circles.push(P.circles[$+2]),Q.circles.push(P.collisionDetected?1:0)}a.placements[e.crossTileID]=new ge(T||k,A||M,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 C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);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},_e.prototype.markUsedJustification=function(e,r,n,a){var i;i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=i>=0&&l!==i?0:n.crossTileID)}},_e.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=a;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},_e.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,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new de(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[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)},_e.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},_e.prototype.updateBucketOpacities=function(e,r,n){var a=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 i=e.layers[0].layout,o=new de(null,0,!1,!1,!0),s=i.get(\"text-allow-overlap\"),l=i.get(\"icon-allow-overlap\"),c=i.get(\"text-variable-anchor\"),u=\"map\"===i.get(\"text-rotation-alignment\"),h=\"map\"===i.get(\"text-pitch-alignment\"),f=\"none\"!==i.get(\"icon-text-fit\"),p=new de(null,0,s&&(l||!e.hasIconData()||i.get(\"icon-optional\")),l&&(s||!e.hasTextData()||i.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)},g=function(n){var i=e.symbolInstances.get(n),s=i.numHorizontalGlyphVertices,l=i.numVerticalGlyphVertices,g=i.crossTileID,m=a.opacities[g];r[g]?m=o:m||(a.opacities[g]=m=p),r[g]=!0;var v=i.numIconVertices>0,y=a.placedOrientations[i.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Pe:_),d(e.text,l,b?Pe:_);var w=m.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=a.variableOffsets[i.crossTileID];T&&a.markUsedJustification(e,T.anchor,i,y);var k=a.placedOrientations[i.crossTileID];k&&(a.markUsedJustification(e,\"left\",i,k),a.markUsedOrientation(e,k,i))}if(v){var M=Le(m.icon),A=!(f&&i.verticalPlacedIconSymbolIndex&&x);i.placedIconSymbolIndex>=0&&(d(e.icon,i.numIconVertices,A?M:Pe),e.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=m.icon.isHidden()),i.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,i.numVerticalIconVertices,A?Pe:M),e.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=a.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(h?a.transform.angle:-a.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var P=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,P,f?E.x:0,f?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!P,f?E.x:0,f?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);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 v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.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},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(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*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Pe=0,Ie=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=[]};Ie.prototype.continuePlacement=function(t,e,r,n,a){for(var i=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(i,n,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,a())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,i.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<i.length;)if(e.placeLayerBucketPart(i[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,a())return!0;return!1};var ze=function(t,e,r,n,a,i,o){this.placement=new _e(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._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 Ie(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Oe=512/t.EXTENT/2,De=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.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),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.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],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Fe.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 a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1)delete this.usedCrossTileIDs[t][a[n].crossTileID]},Fe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Be.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 Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},je=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ue=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var a,i=t.styleSpec.$root[n];i.required&&null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}return e}(),qe=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,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){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(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=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}}))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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 a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)}))},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(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(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 a=jt(this.stylesheet.layers);this._order=a.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var i=0,o=a;i<o.length;i+=1){var s=o[i];(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 w(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 a,i,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,a=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,i=e,u())}));function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var a in n)r.imageManager.addImage(a,n[a]);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 a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.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 a=this._layers[n[r]];\"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),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}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 c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];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(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||qt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&Gt(e,r,i)?n.push({command:Ut.setGeoJSONSourceData,args:[i,r[i].data]}):Ht(i,r,n,a)):Vt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach((function(t){a[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Wt),f=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),g=h.slice(),m=Object.create(null);for(a=0,i=0;a<h.length;a++)d.hasOwnProperty(o=h[a])?i++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)g[g.length-1-a]!==(o=f[f.length-1-a])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-a]]}),g.splice(g.length-a,0,o),m[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!m[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(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var a=n.filter((function(t){return!(t.command in je)}));if(a.length>0)throw new Error(\"Unimplemented: \"+a.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 a=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 i=this.sourceCaches[e]=new Lt(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,(function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}})),i.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 a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(Ne(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}}),this._serializedLayers[i.id]=i.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,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.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 a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,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 a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):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 a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}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,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):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,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),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,a=e.sourceLayer,i=this.sourceCaches[n];if(void 0!==i){var o=i.getSource().type;\"geojson\"===o&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||a?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.setFeatureState(a,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,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0;\"vector\"!==i||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.\"))):a.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,a=this.sourceCaches[r];if(void 0!==a){if(\"vector\"!==a.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.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={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1)a.push(h[u])}}}a.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var f=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=a.length-1;g>=0;g--){var m=a[g].feature;if(n[m.layer.id]<p)break;f.push(m),a.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)f.push(_[b].feature)}}return f},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var a={};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 i=0,o=r.layers;i<o.length;i+=1){var s=o[i],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.\"))),[];a[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i,o){for(var s={},l=i.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1)c.push(o[h[u]]);c.sort(B);for(var f=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,a.filter,a.layers,a.availableImages,t);for(var i in n){var o=s[i]=s[i]||[],c=n[i];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-a}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1)o.push(h[u])}},p=0,d=c;p<d.length;p+=1)f();var g=function(e){s[e].forEach((function(n){var a=n.feature,i=r[t[e].source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=i}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},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=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[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(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){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,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},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,a,i){void 0===i&&(i=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];if(\"symbol\"===h.type){if(!l[h.source]){var f=this.sourceCaches[h.source];l[h.source]=f.getRenderableIds(!0).map((function(t){return f.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,i,r,n,a,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 d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];\"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);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ge=vr(\"#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;}\"),Ye=vr(\"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);}\"),We=vr(\"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);}\"),Ze=vr(\"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);}\"),Xe=vr(\"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);}\"),Je=vr(\"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;}\"),Ke=vr(\"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;}\"),Qe=vr(\"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;}\"),$e=vr(\"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);}\"),tr=vr(\"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);}\"),er=vr(\"#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);}\"),rr=vr(\"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;}\"),nr=vr(\"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;}\"),ar=vr(\"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);}\"),ir=vr(\"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;}\"),or=vr(\"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;}\"),sr=vr(\"#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;}\"),lr=vr(\"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;}\"),cr=vr(\"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);}\"),ur=vr(\"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);}\"),hr=vr(\"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;}\"),fr=vr(\"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);}\"),pr=vr(\"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;}\"),dr=vr(\"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));}\"),gr=vr(\"#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);}\"),mr=vr(\"#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 vr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}))}}var yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Ze,clippingMask:Xe,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ar,fillExtrusion:ir,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:hr,lineSDF:fr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===a&&this.boundVertexOffset===i&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind()):this.freshBind(e,r,n,a,i,o,s)},xr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r?r.defines():[];a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ge.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ge.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r?r.layoutAttributes:[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),i.deleteShader(u),i.deleteShader(c),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var m=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=i.getActiveUniform(this.program,v);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/fe(r,1,e.transform.tileZoom),a=Math.pow(2,r.tileID.overscaledZ),i=r.tileSize*Math.pow(2,e.transform.tileZoom)/a,o=i*(r.tileID.canonical.x+r.tileID.wrap*a),s=i*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]}}br.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},Tr=function(e,r,n,a,i,o,s){return t.extend(wr(e,r,n,a),_r(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,a){return t.extend(kr(e),_r(n,r,a))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,a,i){return t.extend(Mr(e,r,n,a),{u_world:i})},Er=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=fe(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=fe(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=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*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},Lr=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]}},Pr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Ir=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:fe(e,1,r),u_intensity:n}},Or=function(e,r,n){var a=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/fe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,a){var i=e.transform,o=Br(r,i);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/fe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n,a,i){var o=e.lineAtlas,s=Br(r,e.transform),l=\"round\"===n.layout.get(\"line-cap\"),c=o.getDash(a.from,l),u=o.getDash(a.to,l),h=c.width*i.fromScale,f=u.width*i.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/h,-c.height/2],u_patternscale_b:[s/f,-u.height/2],u_sdfgamma:o.width/(256*Math.min(h,f)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:i.t})};function Br(t,e){return 1/fe(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var jr=function(t,e,r,n,a){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*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Ur(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Ur(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 Vr,qr=function(t,e,r,n,a,i,o,s,l,c){var u=a.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:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Hr=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(qr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Gr=function(e,r,n,a,i,o,s,l,c,u){return t.extend(Hr(e,r,n,a,i,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from.toString()),i=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/fe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Zr={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 Xr(e,r,n,a,i,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<a.length;d++){var g=a[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===i[0]&&0===i[1]||(y=e.translatePosMatrix(g.posMatrix,m,i,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),h.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=f+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var M=0,A=0,S=h;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,P=E.circleArray[L+0],I=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,P,I,z,O,0),k.emplace(M++,P,I,z,O,1),k.emplace(M++,P,I,z,O,2),k.emplace(M++,P,I,z,O,3)}(!Vr||Vr.length<2*f)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var a=0;a<r;a++){var i=6*a;n.uint16[i+0]=4*a+0,n.uint16[i+1]=4*a+1,n.uint16[i+2]=4*a+2,n.uint16[i+3]=4*a+2,n.uint16[i+4]=4*a+3,n.uint16[i+5]=4*a+0}return n}(f));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Qr(e,r,n,a,i,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<f.length;m++){var v=f.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:a[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=i.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);h&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(h){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var P=0;P<C.numGlyphs;P++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function tn(e,r,n,a,i,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=a;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=i?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),P=i||E.sdfIcons,I=i?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(P,i,E),L),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(i)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||\"composite\"===I.kind||\"camera\"===I.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=fe(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,i,H,G,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),X=y||i&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=P&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:O,buffers:C,uniformValues:P?E.iconsInText?Gr(I.kind,D,x,v,e,Z,X,J,R,F):Hr(I.kind,D,x,v,e,Z,X,J,i,R,!0):qr(I.kind,D,x,v,e,Z,X,J,i,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var at=nt[rt],it=at.state;if(p.activeTexture.set(d.TEXTURE0),it.atlasTexture.bind(it.atlasInterpolation,d.CLAMP_TO_EDGE),it.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),it.atlasTextureIcon&&it.atlasTextureIcon.bind(it.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),it.isSDF){var ot=it.uniformValues;it.hasHalo&&(ot.u_is_halo=1,en(it.buffers,at.segments,n,e,it.program,_,h,f,ot)),ot.u_is_halo=0}en(it.buffers,at.segments,n,e,it.program,_,h,f,it.uniformValues)}}function en(t,e,r,n,a,i,o,s,l){var c=n.context;a.draw(c,c.gl.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);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(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,h=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(h));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?Tr(k,t,M,f,g,h,m):wr(k,t,M,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,a,i,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var h=function(e,r,n){var a=n.paint.get(\"hillshade-shadow-color\"),i=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,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:a,u_highlight:i,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,a,i,o,Et.disabled,h,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,a,i,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var h=u.dim,f=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:h,height:h,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(h,h,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,h,h]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,function(e,r,n){var a=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[a,a],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,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 ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),hn=new t.Color(1,0,1,1),fn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(e,r,n,a,i,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function mn(e,r,n){var a=e.context,i=a.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();a.activeTexture.set(i.TEXTURE0),e.emptyTexture.bind(i.LINEAR,i.CLAMP_TO_EDGE),s.draw(a,i.LINE_STRIP,l,c,u,Et.disabled,Pr(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,f=Math.floor((h&&h.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,a=t.debugOverlayCanvas.getContext(\"2d\");a.clearRect(0,0,r.width,r.height),a.shadowColor=\"white\",a.shadowBlur=2,a.lineWidth=1.5,a.strokeStyle=\"white\",a.textBaseline=\"top\",a.font=\"bold 36px Open Sans, sans-serif\",a.fillText(e,5,5),a.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+f+\"kb\"),s.draw(a,i.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Pr(o,t.Color.transparent,d),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,a,i){if(\"translucent\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,a,i,o,s){for(var l=r.transform,c=\"map\"===i,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=a.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=fe(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(a,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),i),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&tn(e,r,n,a,!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)&&tn(e,r,n,a,!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&&(Xr(e,r,n,a,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Xr(e,r,n,a,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=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!==i.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var m=a[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,h,f,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=At.disabled,l=new St([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 a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),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),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var a=t.gl;a.texImage2D(a.TEXTURE_2D,0,a.RGBA,e.width/4,e.height/4,0,a.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:a.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var c=0;c<a.length;c++){var u=a[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id);e.useProgram(\"heatmap\",p).draw(i,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,h,e.transform.zoom,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(f){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],P=C.patternPositions[E.from.toString()];L&&P&&k.setConstantPatternPositions(L,P)}var I=h?Rr(e,w,n,p):c?Fr(e,w,n,c,p):f?Dr(e,w,n):Or(e,w,n);h?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,a){var i=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\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);rn(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))nn(t,e,r,n,i,At.disabled,St.disabled),nn(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,h=l[1];u<h.length;u+=1){var f=h[u],p=e.getTile(f);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?on(t,p,r,i,o,At.disabled,s):\"translucent\"===t.renderPass&&an(t,p,r,o,c[f.overscaledZ],s)}a.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 a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,g=h;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),b?(b.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(a,i.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(a,i.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,a,t,c,{tileID:x,tileSize:l},m):Yr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.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,a=this.style._order;n<a.length;n+=1)this.style._layers[a[n]].resize()},yn.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,He.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,He.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,He.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 At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.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,St.disabled,Et.disabled,Ir(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Ir(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),a=n[n.length-1].overscaledZ,i=n[0].overscaledZ-a+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();for(var o={},s=0;s<i;s++)o[s+a]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=i,[o,n]}return[(e={},e[a]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},yn.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])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.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 a=this.style._order,i=this.style.sourceCaches;for(var o in i){var s=i[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in i){var d=i[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<a.length;g++)if(this.style._layers[a[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass=\"offscreen\";for(var m=0,v=a;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=h[y.source];(\"custom\"===y.type||x.length)&&this.renderLayer(this,i[y.source],y,x)}}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=a.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[a[this.currentLayer]],_=i[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<a.length;this.currentLayer++){var T=this.style._layers[a[this.currentLayer]],k=i[T.source],M=(\"symbol\"===T.type?f:h)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,hn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,fn)}(this),this.context.setDefault()},yn.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),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.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)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],a=this.context.extTimerQuery,i=a.getQueryObjectEXT(n.query,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(n.query),e[r]=i}return e},yn.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-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 c=[i?n[0]:fe(r,n[0],this.transform.zoom),i?n[1]:fe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.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},yn.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 br(this.context,yr[t],e,Zr[t],this._showOverdrawInspector)),this.cache[r]},yn.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()},yn.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)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.fromInvProjectionMatrix=function(e,r,n){var a=Math.pow(2,n),i=[[-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*a)})),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([],i[e[0]],i[e[1]]),n=t.sub([],i[e[2]],i[e[1]]),a=t.normalize([],t.cross([],r,n)),o=-t.dot(a,i[e[1]]);return a.concat(o)}));return new xn(i,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),a=t.clone$2(this.max),i=0;i<r.length;i++)n[i]=r[i]?this.min[i]:this.center[i],a[i]=r[i]?this.center[i]:this.max[i];return a[2]=this.max[2],new bn(n,a)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.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,a=0;a<e.planes.length;a++){for(var i=e.planes[a],o=0,s=0;s<r.length;s++)o+=t.dot$1(i,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 c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=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};_n.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},_n.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),a=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,a)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=function(e,r,n,a,i){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===i||i,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==a?60:a,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 _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={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}};wn.prototype.clone=function(){var t=new wn(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},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.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))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.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())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.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())},Tn.zoom.get=function(){return this._zoom},Tn.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())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.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)},wn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=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,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},wn.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 a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=[i*a.x,i*a.y,0],s=xn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new bn([t*i,0,0],[(t+1)*i,i,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===f||w>3+(1<<f-g.zoom)-2&&g.zoom>=l)h.push({tileID:new t.OverscaledTileID(g.zoom===f?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.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)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.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 a=r[3],i=n[3],o=r[1]/a,s=n[1]/i,l=r[2]/a,c=n[2]/i,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/a,n[0]/i,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.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])},wn.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)))},wn.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},wn.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])},wn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.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+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<i&&(a=i+m),g+m>o&&(a=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),a=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),i=this.point,o=i.x,s=i.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,f=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*h+d*f,m=s-Math.round(s)+p*f+d*h,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.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},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,a,i;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,a=null,i=function(){a=null,n&&(r(),a=setTimeout(i,300),n=!1)},function(){return n=!0,a||i(),a})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,a=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,a),o=Math.round(r.lng*i)/i,s=Math.round(r.lat*i)/i,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},kn.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(\"/\")},kn.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},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function Pn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function In(e,r,n){var a=n.maxSpeed,i=n.linearity,o=n.deceleration,s=t.clamp(e*i/(r/1e3),-a,a),l=Math.abs(s)/(o*i);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.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,a=this._inertiaBuffer;n<a.length;n+=1){var i=a[n].settings;r.zoom+=i.zoomDelta||0,r.bearing+=i.bearingDelta||0,r.pitch+=i.pitchDelta||0,i.panDelta&&r.pan._add(i.panDelta),i.around&&(r.around=i.around),i.pinchAround&&(r.pinchAround=i.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=In(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Pn(s,l)}if(r.zoom){var c=In(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,Pn(s,c)}if(r.bearing){var u=In(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),Pn(s,u)}if(r.pitch){var h=In(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+h.amount,Pn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var zn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),On=function(e){function n(n,a,i){var o=\"touchend\"===n?i.changedTouches:i.touches,s=r.touchPos(a.getCanvasContainer(),o),l=s.map((function(t){return a.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=a.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),Dn=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)).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),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.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 a=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 i=Math.min(a.x,n.x),o=Math.max(a.x,n.x),s=Math.min(a.y,n.y),l=Math.max(a.y,n.y);r.setTransform(this._box,\"translate(\"+i+\"px,\"+s+\"px)\"),this._box.style.width=o-i+\"px\",this._box.style.height=l-s+\"px\"}}},Bn.prototype.mouseupWindow=function(e,n){var a=this;if(this._active&&0===e.button){var i=this._startPos,o=n;if(this.reset(),r.suppressClick(),i.x!==o.x||i.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(i,o,a._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Bn.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},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.prototype.touchstart=function(e,r){(this.centroid||e.targetTouches.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),e.targetTouches.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,a=e;n<a.length;n+=1)r._add(a[n]);return r.div(e.length)}(r),this.touches=Nn(e.targetTouches,r)))},jn.prototype.touchmove=function(t,e){if(!this.aborted&&this.centroid){var r=Nn(t.targetTouches,e);for(var n in this.touches){var a=r[n];(!a||a.dist(this.touches[n])>30)&&(this.aborted=!0)}}},jn.prototype.touchend=function(t){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===t.targetTouches.length){var e=!this.aborted&&this.centroid;if(this.reset(),e)return e}};var Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e){this.singleTap.touchstart(t,e)},Un.prototype.touchmove=function(t,e){this.singleTap.touchmove(t,e)},Un.prototype.touchend=function(t){var e=this.singleTap.touchend(t);if(e){var r=t.timeStamp-this.lastTime<500,n=!this.lastTap||this.lastTap.dist(e)<30;if(r&&n||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=e,this.count===this.numTaps)return this.reset(),e}};var Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e){this._zoomIn.touchstart(t,e),this._zoomOut.touchstart(t,e)},Vn.prototype.touchmove=function(t,e){this._zoomIn.touchmove(t,e),this._zoomOut.touchmove(t,e)},Vn.prototype.touchend=function(t){var e=this,r=this._zoomIn.touchend(t),n=this._zoomOut.touchend(t);return r?(this._active=!0,t.preventDefault(),setTimeout((function(){return e.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(r)},{originalEvent:t})}}):n?(this._active=!0,t.preventDefault(),setTimeout((function(){return e.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(n)},{originalEvent:t})}}):void 0},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.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)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e){return this._calculateTransform(t,e)},Wn.prototype.touchmove=function(t,e){if(this._active)return t.preventDefault(),this._calculateTransform(t,e)},Wn.prototype.touchend=function(t,e){this._calculateTransform(t,e),this._active&&t.targetTouches.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r){e.targetTouches.length>0&&(this._active=!0);var n=Nn(e.targetTouches,r),a=new t.Point(0,0),i=new t.Point(0,0),o=0;for(var s in n){var l=n[s],c=this._touches[s];c&&(a._add(l),i._add(l.sub(c)),o++,n[s]=l)}if(this._touches=n,!(o<this._minTouches)&&i.mag()){var u=i.div(o);if(this._sum._add(u),!(this._sum.mag()<this._clickTolerance))return{around:a.div(o),panDelta:u}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(){this.reset()};function Xn(t,e,r){for(var n=0;n<t.targetTouches.length;n++)if(t.targetTouches[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Zn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Zn.prototype._start=function(t){},Zn.prototype._move=function(t,e,r){return{}},Zn.prototype.touchstart=function(t,e){this._firstTwoTouches||t.targetTouches.length<2||(this._firstTwoTouches=[t.targetTouches[0].identifier,t.targetTouches[1].identifier],this._start([e[0],e[1]]))},Zn.prototype.touchmove=function(t,e){if(this._firstTwoTouches){t.preventDefault();var r=this._firstTwoTouches,n=r[1],a=Xn(t,e,r[0]),i=Xn(t,e,n);if(a&&i){var o=this._aroundCenter?null:a.add(i).div(2);return this._move([a,i],o,t)}}},Zn.prototype.touchend=function(t,e){if(this._firstTwoTouches){var n=this._firstTwoTouches,a=n[1],i=Xn(t,e,n[0]),o=Xn(t,e,a);i&&o||(this._active&&r.suppressClick(),this.reset())}},Zn.prototype.touchcancel=function(){this.reset()},Zn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Zn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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:Qn(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=Qn(t,this._startVector);return Math.abs(r)<e},e}(Zn);function ta(t){return Math.abs(t.y)>Math.abs(t.x)}var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,ta(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),a=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,a,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+a.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,a=e.mag()>=2;if(n||a){if(!n||!a)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var i=t.y>0==e.y>0;return ta(t)&&ta(e)&&i}},e}(Zn),ra={panStep:100,bearingStep:15,pitchStep:10},na=function(){var t=ra;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function aa(t){return t*(2-t)}na.prototype.reset=function(){this._active=!1},na.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,a=0,i=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(),i=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?a=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?a=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:aa,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+a*e._pitchStep,offset:[-i*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},na.prototype.enable=function(){this._enabled=!0},na.prototype.disable=function(){this._enabled=!1,this.reset()},na.prototype.isEnabled=function(){return this._enabled},na.prototype.isActive=function(){return this._active};var ia=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};ia.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ia.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ia.prototype.isEnabled=function(){return!!this._enabled},ia.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ia.prototype.isZooming=function(){return!!this._zooming},ia.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ia.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ia.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(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*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()}},ia.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ia.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())}},ia.prototype.renderFrame=function(){return this._onScrollFrame()},ia.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)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"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,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ia.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+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},ia.prototype.reset=function(){this._active=!1};var oa=function(t,e){this._clickZoom=t,this._tapZoom=e};oa.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oa.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oa.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oa.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var sa=function(){this.reset()};sa.prototype.reset=function(){this._active=!1},sa.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})}}},sa.prototype.enable=function(){this._enabled=!0},sa.prototype.disable=function(){this._enabled=!1,this.reset()},sa.prototype.isEnabled=function(){return this._enabled},sa.prototype.isActive=function(){return this._active};var la=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};la.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},la.prototype.touchstart=function(t,e){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?t.targetTouches.length>0&&(this._swipePoint=e[0],this._swipeTouch=t.targetTouches[0].identifier):this._tap.touchstart(t,e))},la.prototype.touchmove=function(t,e){if(this._tapTime){if(this._swipePoint){if(t.targetTouches[0].identifier!==this._swipeTouch)return;var r=e[0],n=r.y-this._swipePoint.y;return this._swipePoint=r,t.preventDefault(),this._active=!0,{zoomDelta:n/128}}}else this._tap.touchmove(t,e)},la.prototype.touchend=function(t){this._tapTime?this._swipePoint&&0===t.targetTouches.length&&this.reset():this._tap.touchend(t)&&(this._tapTime=t.timeStamp)},la.prototype.touchcancel=function(){this.reset()},la.prototype.enable=function(){this._enabled=!0},la.prototype.disable=function(){this._enabled=!1,this.reset()},la.prototype.isEnabled=function(){return this._enabled},la.prototype.isActive=function(){return this._active};var ca=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ca.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ca.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ca.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ca.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ua=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ua.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ua.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ua.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ua.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var ha=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};ha.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\")},ha.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},ha.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},ha.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},ha.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var fa=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function da(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ga=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var a=this._el;this._listeners=[[a,\"touchstart\",{passive:!1}],[a,\"touchmove\",{passive:!1}],[a,\"touchend\",void 0],[a,\"touchcancel\",void 0],[a,\"mousedown\",void 0],[a,\"mousemove\",void 0],[a,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[a,\"mouseover\",void 0],[a,\"mouseout\",void 0],[a,\"dblclick\",void 0],[a,\"click\",void 0],[a,\"keydown\",{capture:!1}],[a,\"keyup\",void 0],[a,\"wheel\",{passive:!1}],[a,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var i=0,o=this._listeners;i<o.length;i+=1){var s=o[i],l=s[0];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};ga.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var a=n[e],i=a[0];r.removeEventListener(i,a[1],i===t.window.document?this.handleWindowEvent:this.handleEvent,a[2])}},ga.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add(\"boxZoom\",n);var a=new Vn,i=new sa;e.doubleClickZoom=new oa(i,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",i);var o=new la;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ea;this._add(\"touchPitch\",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ua(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Hn(t),h=new Wn(t);e.dragPan=new ca(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new $n,p=new Kn;e.touchZoomRotate=new ha(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new ia(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new na;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new Fn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},ga.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ga.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=[]}},ga.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ga.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ga.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ga.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ga.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ga.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,a={needsRenderFrame:!1},i={},o={},s=t?t.targetTouches?r.touchPos(this._el,t.targetTouches):r.mousePos(this._el,t):null,l=0,c=this._handlers;l<c.length;l+=1){var u=c[l],h=u.handlerName,f=u.handler,p=u.allowed;if(f.isEnabled()){var d=void 0;this._blockedByActive(o,p,h)?f.reset():f[e||t.type]&&(d=f[e||t.type](t,s),this.mergeHandlerResult(a,i,d,h,n),d&&d.needsRenderFrame&&this._triggerRenderFrame()),(d||f.isActive())&&(o[h]=f)}}var g={};for(var m in this._previousActiveHandlers)o[m]||(g[m]=n);this._previousActiveHandlers=o,(Object.keys(g).length||da(a))&&(this._changes.push([a,i,g]),this._triggerRenderFrame()),(Object.keys(o).length||da(a))&&this._map._stop(!0),this._updatingCamera=!1;var v=a.cameraAnimation;v&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],v(this._map))}else this.stop()},ga.prototype.mergeHandlerResult=function(e,r,n,a,i){if(n){t.extend(e,n);var o={handlerName:a,originalEvent:n.originalEvent||i};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)}},ga.prototype._applyChanges=function(){for(var e={},r={},n={},a=0,i=this._changes;a<i.length;a+=1){var o=i[a],s=o[0],l=o[1],c=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,c)}this._updateMapTransform(e,r,n),this._changes=[]},ga.prototype._updateMapTransform=function(t,e,r){var n=this._map,a=n.transform;if(!da(t))return this._fireEvents(e,r);var i=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=a.pointLocation(i?c.sub(i):c);s&&(a.bearing+=s),l&&(a.pitch+=l),o&&(a.zoom+=o),a.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ga.prototype._fireEvents=function(e,r){var n,a=this,i=fa(this._eventsInProgress),o=fa(e);for(var s in!i&&o&&this._fireEvent(\"movestart\",o.originalEvent),e){var l=e[s].originalEvent,c=!this._eventsInProgress[s];this._eventsInProgress[s]=e[s],c&&this._fireEvent(s+\"start\",l)}for(var u in e.rotate&&(this._bearingChanged=!0),o&&this._fireEvent(\"move\",o.originalEvent),e)this._fireEvent(u,e[u].originalEvent);for(var h in this._eventsInProgress){var f=this._eventsInProgress[h],p=f.handlerName,d=f.originalEvent;this._handlersById[p].isActive()||(delete this._eventsInProgress[h],this._fireEvent(h+\"end\",n=r[p]||d))}var g=fa(this._eventsInProgress);if((i||o)&&!g){this._updatingCamera=!0;var m=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),v=function(t){return 0!==t&&-a._bearingSnap<t&&t<a._bearingSnap};m?(v(m.bearing||this._map.getBearing())&&(m.bearing=0),this._map.easeTo(m,{originalEvent:n})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:n})),v(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ga.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ga.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pa(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var ma=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)).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,a){var i={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(a=t.extend({padding:i,offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var o=a.padding;a.padding={top:o,bottom:o,right:o,left:o}}a.padding=t.extend(i,a.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),g=p.sub(d),m=(s.width-(l.left+l.right+a.padding.left+a.padding.right))/g.x,v=(s.height-(l.top+l.bottom+a.padding.top+a.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),a.maxZoom),x=t.Point.convert(a.offset),b=new t.Point(x.x+(a.padding.left-a.padding.right)/2,x.y+(a.padding.top-a.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,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,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},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,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!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)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&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 a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:i,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:a.padding,p=t.Point.convert(e.offset),d=a.centerPoint.add(p),g=a.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=a.project(g),b=a.project(m).sub(x),_=a.zoomScale(c-i);e.around&&(v=t.LngLat.convert(e.around),y=a.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==i,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!a.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(a.zoom=t.number(i,c,e)),n._rotating&&(a.bearing=t.number(o,u,e)),n._pitching&&(a.pitch=t.number(s,h,e)),n._padding&&(a.interpolatePadding(l,f,e),d=a.centerPoint.add(p)),v)a.setLocationAtPoint(v,y);else{var g=a.zoomScale(a.zoom-i),m=c>i?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=a.unproject(x.add(b.mult(e*w)).mult(g));a.setLocationAtPoint(a.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,a=this._rotating,i=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)),a&&this.fire(new t.Event(\"rotateend\",e)),i&&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 a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:i.padding,d=i.zoomScale(u-o),g=t.Point.convert(e.offset),m=i.centerPoint.add(g),v=i.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=i.project(v),b=i.project(y).sub(x),_=e.curve,w=Math.max(i.width,i.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),i.minZoom,i.maxZoom),A=w/i.zoomScale(M-o);_=Math.sqrt(A/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 C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return L(P)/L(P+_*t)},z=function(t){return w*((L(P)*(C(e=P+_*t)/L(e))-C(P))/S)/k;var e},O=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},I=function(t){return Math.exp(D*_*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*O/(\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!i.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var a=e*O,d=1/I(a);i.zoom=1===e?u:o+i.scaleZoom(d),n._rotating&&(i.bearing=t.number(s,h,e)),n._pitching&&(i.pitch=t.number(l,f,e)),n._padding&&(i.interpolatePadding(c,p,e),m=i.centerPoint.add(g));var v=1===e?y:i.unproject(x.add(b.mult(z(a))).mult(d));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,m),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),va=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};va.prototype.getDefaultPosition=function(){return\"bottom-right\"},va.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},va.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},va.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\"}},va.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},va.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 a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.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)}},va.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var ya=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};ya.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},ya.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ya.prototype.getDefaultPosition=function(){return\"bottom-left\"},ya.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ya.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}},ya.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 xa=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xa.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xa.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 a=n[r];if(a.id===t)return void(a.cancelled=!0)}},xa.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 a=n[r];if(!a.cancelled&&(a.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},xa.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var ba={\"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\"},_a=t.window.HTMLImageElement,wa=t.window.HTMLElement,Ta=t.window.ImageBitmap,ka={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,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},Ma=function(n){function a(e){var r=this;if(null!=(e=t.extend({},ka,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>60)throw new Error(\"maxPitch must be less than or equal to 60\");var a=new wn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,a,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 xa,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},ba,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 wa))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 ga(this,e),this._hash=e.hash&&new kn(\"string\"==typeof e.hash&&e.hash||void 0).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 va({customAttribution:e.customAttribution})),this.addControl(new ya,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&&(a.__proto__=n),(a.prototype=Object.create(n&&n.prototype)).constructor=a;var i={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.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 a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.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},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a);var i=!this._moving;return i&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),i&&this.fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.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\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.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\")},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.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\")},a.prototype.getMinPitch=function(){return this.transform.minPitch},a.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)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\")},a.prototype.getMaxPitch=function(){return this.transform.maxPitch},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.handlers.isActive()},a.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},a.prototype._createDelegatedListener=function(t,e,r){var n,a=this;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new zn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new zn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new zn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}},a.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(a),a.delegates)this.on(i,a.delegates[i]);return this},a.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in a.delegates)this.once(i,a.delegates[i]);return this},a.prototype.off=function(t,e,r){var a=this;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var i=n[t],o=0;o<i.length;o++){var s=i[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)a.off(l,s.delegates[l]);return i.splice(o,1),a}}}(this._delegatedListeners),this)},a.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 a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.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))},a.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(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)},a.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,(function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},a.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)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},a.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+\"'\")))},a.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 a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;void 0===i&&(i=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _a||Ta&&r instanceof Ta){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,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 u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},a.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 a=r instanceof _a||Ta&&r instanceof Ta?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;return void 0===i||void 0===o?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`\"))):i!==n.data.width||o!==n.data.height?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\"))):(n.data.replace(s,!(r instanceof _a||Ta&&r instanceof Ta)),void this.style.updateImage(e,n))},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.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/.\")},a.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 a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)}))},a.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\"},a.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 yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(e){var r,n=this,a=0,i=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=i.createQueryEXT(),i.beginQueryEXT(i.TIME_ELAPSED_EXT,r),a=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 c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}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 h=t.browser.now()-a;i.endQueryEXT(i.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=i.getQueryObjectEXT(r,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);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}},a.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(),Aa(this._canvasContainer),Aa(this._controlContainer),Aa(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showPadding.get=function(){return!!this._showPadding},i.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(ma);function Aa(t){t.parentNode&&t.parentNode.removeChild(t)}var Sa={showCompass:!0,showZoom:!0,visualizePitch:!1},Ea=function(e){var n=this;this.options=t.extend({},Sa,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))};Ea.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ea.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},Ea.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 Ca(this._map,this._compass,this.options.visualizePitch)),this._container},Ea.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},Ea.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Ea.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ca=function(e,n,a){void 0===a&&(a=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,a&&(this.mousePitch=new Yn({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 La(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}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}Ca.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ca.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 a=this.mousePitch.mousemoveWindow(t,e);a&&a.pitchDelta&&r.setPitch(r.getPitch()+a.pitchDelta)}},Ca.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()},Ca.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ca.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)},Ca.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ca.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ca.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))},Ca.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))},Ca.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ca.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Pa={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 Ia(t,e,r){var n=t.classList;for(var a in Pa)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var za,Oa=function(e){function n(n,a){var i=this;if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),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 c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,h=[{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\"}];u<h.length;u+=1){var f=h[u],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\",f.rx),p.setAttributeNS(null,\"ry\",f.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.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(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.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\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.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(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),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=i._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ia(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.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=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-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=La(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,Pa[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),Da={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ra=0,Fa=!1,Ba=function(e){function n(r){e.call(this),this.options=t.extend({},Da,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==za?n(za):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){n(za=\"denied\"!==t.state)})):n(za=!!t.window.navigator.geolocation),this._container},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,Ra=0,Fa=!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,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{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),a=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=a+\"px\",this._circleElement.style.height=a+\"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&&Fa)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 a=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}else{var i=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}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 Oa(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Oa({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){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(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\":Ra--,Fa=!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\"),++Ra>1?(e={maximumAge:6e5,timeout:0},Fa=!0):(e=this.options.positionOptions,Fa=!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),Na={maxWidth:100,unit:\"metric\"},ja=function(e){this.options=t.extend({},Na,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ua(t,e,r){var n=r&&r.maxWidth||100,a=t._container.clientHeight/2,i=t.unproject([0,a]),o=t.unproject([n,a]),s=i.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?Va(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Va(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Va(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Va(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Va(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Va(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=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)));t.style.width=e*(s/r)+\"px\",t.innerHTML=s+\"&nbsp;\"+n}ja.prototype.getDefaultPosition=function(){return\"bottom-left\"},ja.prototype._onMove=function(){Ua(this._map,this._container,this.options)},ja.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},ja.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},ja.prototype.setUnit=function(t){this.options.unit=t,Ua(this._map,this._container,this.options)};var qa=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\")};qa.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},qa.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},qa.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)},qa.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},qa.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},qa.prototype._isFullscreen=function(){return this._fullscreen},qa.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())},qa.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 Ha={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Ga=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ha),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.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(),a=t.window.document.createElement(\"body\");for(a.innerHTML=e;r=a.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(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&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 n._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=La(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),i=this.options.anchor,o=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var a=t.Point.convert(r);return{center:a,top:a,\"top-left\":a,\"top-right\":a,bottom:a,\"bottom-left\":a,\"bottom-right\":a,left:a,right:a}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!i){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=a.y+o.bottom.y<c?[\"top\"]:a.y>this._map.transform.height-c?[\"bottom\"]:[],a.x<l/2?s.push(\"left\"):a.x>this._map.transform.width-l/2&&s.push(\"right\"),i=0===s.length?\"bottom\":s.join(\"-\")}var u=a.add(o[i]).round();r.setTransform(this._container,Pa[i]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Ia(this._container,i,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Ya={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ma,NavigationControl:Ea,GeolocateControl:Ba,AttributionControl:va,ScaleControl:ja,FullscreenControl:qa,Popup:Ga,Marker:Oa,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Ya})),r}))},{}],431:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=i(t,n);return r};var n=t(\"convex-hull\");function a(t,e,r){for(var n=new Array(t),a=0;a<t;++a)n[a]=0,a===e&&(n[a]+=.5),a===r&&(n[a]+=.5);return n}function i(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],i=[],o=0;o<=t;++o)if(e&1<<o){r.push(a(t,o-1,o-1)),i.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(a(t,o-1,s-1)),i.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],h=[];for(s=0;s<u.length;++s){if(!i[u[s]])continue t;h.push(i[u[s]].slice())}c.push(h)}return c}},{\"convex-hull\":132}],432:[function(t,e,r){var n=t(\"./normalize\"),a=t(\"gl-mat4/create\"),i=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=a(),h=a(),f=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,a){t[0]=e[0]*n+r[0]*a,t[1]=e[1]*n+r[1]*a,t[2]=e[2]*n+r[2]*a}e.exports=function(t,e,r,a,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),a||(a=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(i(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(f[0]=M,f[1]=A,f[2]=S,f[3]=P,!s(h,h))return!1;l(h,h),y=m,b=h,_=(x=f)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),a[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-a[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),a[0]/=r[1],a[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-a[1]),a[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-a[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),a[1]/=r[2],a[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":433,\"gl-mat4/clone\":270,\"gl-mat4/create\":271,\"gl-mat4/determinant\":272,\"gl-mat4/invert\":276,\"gl-mat4/transpose\":287,\"gl-vec3/cross\":338,\"gl-vec3/dot\":343,\"gl-vec3/length\":353,\"gl-vec3/normalize\":360}],433:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,a=0;a<16;a++)t[a]=e[a]*n;return!0}},{}],434:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),a=t(\"mat4-recompose\"),i=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=h(),c=h(),u=h();function h(){return{translate:f(),scale:f(1),skew:f(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function f(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,h){if(0===o(e)||0===o(r))return!1;var f=i(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=i(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!f||!p)&&(n(u.translate,l.translate,c.translate,h),n(u.skew,l.skew,c.skew,h),n(u.scale,l.scale,c.scale,h),n(u.perspective,l.perspective,c.perspective,h),s(u.quaternion,l.quaternion,c.quaternion,h),a(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":272,\"gl-vec3/lerp\":354,\"mat4-decompose\":432,\"mat4-recompose\":435,\"quat-slerp\":488}],435:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},a=(n.create(),n.create());e.exports=function(t,e,r,i,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(a),0!==i[2]&&(a[9]=i[2],n.multiply(t,t,a)),0!==i[1]&&(a[9]=0,a[8]=i[1],n.multiply(t,t,a)),0!==i[0]&&(a[8]=0,a[4]=i[0],n.multiply(t,t,a)),n.scale(t,t,r),t}},{\"gl-mat4/create\":271,\"gl-mat4/fromRotationTranslation\":274,\"gl-mat4/identity\":275,\"gl-mat4/multiply\":278,\"gl-mat4/scale\":285,\"gl-mat4/translate\":286}],436:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],437:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),a=t(\"mat4-interpolate\"),i=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),h=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),f=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],f=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)f[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&f[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=f[c];else a(o,f,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],h(g,g);var m=this.computedInverse;i(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||f,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var a=0,i=0;i<3;++i)a+=Math.pow(r[i]-e[i],2);a=Math.log(Math.sqrt(a)),this.computedRadius[0]=a},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var a=this.computedInverse;e&&s(a,a,e),r&&o(a,a,r),n&&l(a,a,n),this.setMatrix(t,i(this.computedMatrix,a))};var g=[0,0,0];d.pan=function(t,e,r,n){g[0]=-(e||0),g[1]=-(r||0),g[2]=-(n||0),this.recalcMatrix(t);var 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 960 |        "/*\n",
 961 |        "object-assign\n",
 962 |        "(c) Sindre Sorhus\n",
 963 |        "@license MIT\n",
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a=this.computedMatrix,i=a[0],o=a[4],s=a[8],u=a[1],h=a[5],f=a[9],p=a[2],d=a[6],g=a[10],m=e*i+r*u,v=e*o+r*h,y=e*s+r*f,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,M=k[0],A=k[1],S=k[2],E=k[3],C=M*w+E*x+A*_-S*b,L=A*w+E*b+S*x-M*_,P=S*w+E*_+M*b-A*x,I=E*w-M*x-A*b-S*_;if(n){x=p,b=d,_=g;var z=Math.sin(n)/l(x,b,_);x*=z,b*=z,_*=z,I=I*(w=Math.cos(e))-(C=C*w+I*x+L*_-P*b)*x-(L=L*w+I*b+P*x-C*_)*b-(P=P*w+I*_+C*b-L*x)*_}var O=c(C,L,P,I);O>1e-6?(C/=O,L/=O,P/=O,I/=O):(C=L=P=0,I=1),this.rotation.set(t,C,L,P,I)},f.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;a(i,e,r,n);var o=this.computedRotation;s(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},f.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},f.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var a=n[15];if(Math.abs(a)>1e-6){var i=n[12]/a,l=n[13]/a,c=n[14]/a;this.recalcMatrix(t);var h=Math.exp(this.computedRadius[0]);this.center.set(t,i-n[2]*h,l-n[6]*h,c-n[10]*h),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},f.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},f.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},f.getDistanceLimits=function(t){var e=this.radius.bounds;return 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 966 |        "/*!\n",
 967 |        " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
 968 |        " *\n",
 969 |        " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
 970 |        " * Licensed under the MIT license.\n",
 971 |        " */\n",
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16*e.offset},divisor:1},direction:{buffer:m,stride:24,offset:0},lineOffset:{buffer:m,stride:24,offset:8},capOffset:{buffer:m,stride:24,offset:16}},primitive:\"triangles\",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:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:!1,instances:t.prop(\"count\"),count:f.length}),s(b,{update:T,draw:_,destroy:k,regl:t,gl:v,canvas:v.canvas,groups:x}),b;function b(t){t?T(t):null===t&&k(),_()}function _(e){if(\"number\"==typeof e)return w(e);e&&!Array.isArray(e)&&(e=[e]),t._refresh(),x.forEach((function(t,r){t&&(e&&(e[r]?t.draw=!0:t.draw=!1),t.draw?w(r):t.draw=!0)}))}function w(t){\"number\"==typeof 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,c){var u=x[c];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\"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},y,t)),i(u,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 i=0;i<r;i++)t[i]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=a(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=h(e.scale),e.translateFract=h(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:v.drawingBufferWidth,height:v.drawingBufferHeight},e}}]),u):u})),e||r){var f=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),m=new Float64Array(2*f),_=new Uint8Array(4*f),w=new Float32Array(4*f);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,a=t.offset,i=t.color,o=t.errors;n&&(_.set(i,4*a),w.set(o,4*a),m.set(r,2*a))}})),c(u(m)),p(h(m)),d(_),g(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),g.destroy(),m.destroy()}};var f=[[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]]},{\"array-bounds\":68,\"color-normalize\":122,\"flatten-vertex-data\":240,\"object-assign\":459,\"pick-by-alias\":470,\"to-float32\":536,\"update-diff\":558}],496:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),a=t(\"array-bounds\"),i=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),h=t(\"to-float32\"),f=h.float32,p=h.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\");function m(t,e){if(!(this instanceof m))return new m(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=m.shaders.has(t)?m.shaders.get(t):m.shaders.set(t,m.createShaders(t)).get(t),this.update(e)}e.exports=m,m.dashMult=2,m.maxPatternLength=256,m.precisionThreshold=3e6,m.maxPoints=1e4,m.maxLines=2048,m.shaders=new d,m.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\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize: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\")},a=t(i({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 sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, 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(i({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 sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\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) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, 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},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},m.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},m.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},m.prototype.draw=function(){for(var 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>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.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,h){var d=e.passes[h];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 join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\"}),d||(e.passes[h]=d={id:h,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=i({},m.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,h<m.maxLines&&(d.depth=2*(m.maxLines-1-h%m.maxLines)/m.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=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,\"float64\"),y=d.count=Math.floor(v.length/2);var w=d.bounds=a(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var C=v[2*A],L=v[2*A+1];isNaN(C)||isNaN(L)||null==C||null==L?(C=v[2*M],L=v[2*M+1],k[A]=M):M=A,T[S++]=C,T[S++]=L}for(var P=c(T,d.hole||[]),I=0,z=P.length;I<z;I++)null!=k[P[I]]&&(P[I]=k[P[I]]);d.triangles=P}var O=new Float64Array(v);u(O,2,w);var D=new Float64Array(2*y+6);d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[0]=O[2*y-4],D[1]=O[2*y-3]):(D[0]=O[2*y-2],D[1]=O[2*y-1]):(D[0]=O[0],D[1]=O[1]),D.set(O,2),d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[2*y+2]=O[2],D[2*y+3]=O[3],d.count-=1):(D[2*y+2]=O[0],D[2*y+3]=O[1],D[2*y+4]=O[2],D[2*y+5]=O[3]):(D[2*y+2]=O[2*y-2],D[2*y+3]=O[2*y-1],D[2*y+4]=O[2*y-2],D[2*y+5]=O[2*y-1]),d.positionBuffer(f(D)),d.positionFractBuffer(p(D))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var R=d.bounds,F=R[2]-R[0],B=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[F/N,B/j],d.translate=[-d.range[0]/N+R[0]/N||0,-d.range[1]/j+R[1]/j||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var Z=0,X=t.dashes[W]*m.dashMult*.5;Z<X;++Z)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K=\"transparent\");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&\"number\"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],\"uint8\");Q.set(tt,4*$)}Q.set(n(K[0],\"uint8\"),4*J)}else for(var et=n(K,\"uint8\"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:Q})}}else e.passes[h]=null})),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var d=this.passes[h];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":68,\"array-normalize\":69,\"color-normalize\":122,earcut:173,\"es6-weak-map\":229,\"flatten-vertex-data\":240,glslify:412,\"object-assign\":459,\"parse-rect\":464,\"pick-by-alias\":470,\"to-float32\":536}],497:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,a=!1,i=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){a=!0,i=t}finally{try{n||null==s.return||s.return()}finally{if(a)throw i}}return r}(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 a(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(t)||i(t)||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.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return o(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(r):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(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 s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"point-cluster\"),h=t(\"object-assign\"),f=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),g=t(\"flatten-vertex-data\"),m=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),h(this,{regl:t,gl:a,groups:[],markerCache:[null],markerTextures:[null],palette:i,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:a.canvas}),this.update(e);var o={uniforms:{pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},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?i.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?i.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=h({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nuniform sampler2D marker;\\nuniform float pixelRatio, opacity;\\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(marker, 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 vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\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 * pixelRatio;\\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=h({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\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 vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\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) * 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  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\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=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 i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!i)return r?[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=f.length;v--;){var y=n(f[v],2),x=y[0],b=y[1];u.push(h({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.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 a=this.groups,i=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,f=this.palette;this.groups=a=r.map((function(e,r){var n=a[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=p(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||(a[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=h({},b.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,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,a=e.positionBuffer,i=e.positionFractBuffer,s=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=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),h=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}return a({data:v.float(t),usage:\"dynamic\"}),i({data:v.fract(t),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach((function(t){return t&&t.destroy&&t.destroy()})),a.length=0,e&&\"number\"!=typeof e[0]){for(var i=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);i[c]||(i[c]=new Uint8Array(r.count)),i[c][s]=1}for(var u=0;u<i.length;u++)if(i[u]){var h={data:i[u],type:\"uint8\",usage:\"static\"};a[u]?a[u](h):a[u]=o.buffer(h),a[u].data=i[u]}}else{a[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=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[i.drawingBufferWidth,i.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:\"dynamic\"})}if(x){var E,C=n,L=C.count,P=C.color,I=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=P[O];E[8*O]=f[4*D],E[8*O+1]=f[4*D+1],E[8*O+2]=f[4*D+2],E[8*O+3]=f[4*D+3];var R=I[O];E[8*O+4]=f[4*R],E[8*O+5]=f[4*R+1],E[8*O+6]=f[4*R+2],E[8*O+7]=f[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,a=this.markerCache,i=null==t?0:a.indexOf(t);if(i>=0)return i;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 i=r.length,a.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),i},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var a=[];if(\"number\"==typeof t[0]){var i=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)i.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)i.push(t.subarray(l,l+4));t=i}for(var u=0;u<t.length;u++){var h=t[u];h=s(h,\"uint8\");var f=c(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}a[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===a.length?a[0]:a},b.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 a=.25*(t=t.slice()).length%e;a<n*e;a++)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)}},b.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 _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(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}},{\"array-bounds\":68,\"color-id\":120,\"color-normalize\":122,\"flatten-vertex-data\":240,glslify:412,\"is-iexplorer\":423,\"object-assign\":459,\"parse-rect\":464,\"pick-by-alias\":470,\"point-cluster\":474,\"to-float32\":536,\"update-diff\":558}],498:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"pick-by-alias\"),i=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,a,i,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],a=s[3]):s.length?(n=s[0],a=s[1]):(s.x,n=s.y,s.x+s.width,a=s.y+s.height),l.length>2?(i=l[0],o=l[2],l[1],l[3]):l.length?(i=l[0],o=l[1]):(i=l.x,l.y,o=l.x+l.width,l.y+l.height),[i,n,o,a]}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]}e.exports=u,u.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)},u.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 a=[],i=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)a.push(this.passes[l[c]]);s.passOffset=i,i+=s.passes.length}return(t=this.scatter).update.apply(t,a),this}},u.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=a(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 opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new 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(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=i(o.data[u],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 g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var M=h(s.id,T,k),A=this.passes[M]||(this.passes[M]={});if(o.data&&(o.transpose?A.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:A.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},A.bounds=f(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?f(s.padding,T,k):s.padding;if(s.domain){var E=f(s.domain,T,k),C=E[0],L=E[1],P=E[2],I=E[3];A.viewport=[x+C*v+S[0],b+L*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else A.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&&(A.color=s.color),o.size&&(A.size=s.size),o.marker&&(A.marker=s.marker),o.borderSize&&(A.borderSize=s.borderSize),o.borderColor&&(A.borderColor=s.borderColor),o.opacity&&(A.opacity=s.opacity),o.range&&(A.range=n?f(s.range,T,k):s.range||A.bounds),s.passes.push(M)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],a=0;a<e.length;a++)if(\"number\"==typeof e[a]){var i=this.traces[e[a]],o=i.passes,l=i.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[a].length){var c=e[a],u=this.traces[a],h=u.passes,f=u.passOffset;h=h.map((function(t,e){n[f+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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 979 |        "/*!\n",
 980 |        " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
 981 |        " *\n",
 982 |        " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
 983 |        " * Licensed under the MIT License.\n",
 984 |        " */\n",
 985 |        "\"use strict\";var n,a=\"\";e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"expected a string\");if(1===e)return t;if(2===e)return t+t;var r=t.length*e;if(n!==t||\"undefined\"==typeof n)n=t,a=\"\";else if(a.length>=r)return a.substr(0,r);for(;r>a.length&&e>1;)1&e&&(a+=t),e>>=1,t+=t;return a=(a+=t).substr(0,r)}},{}],501:[function(t,e,r){(function(t){e.exports=t.performance&&t.performance.now?function(){return performance.now()}:Date.now||function(){return+new Date}}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{}],502:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.length,r=t[t.length-1],n=e,a=e-2;a>=0;--a){var i=r,o=t[a];(l=o-((r=i+o)-i))&&(t[--n]=r,r=l)}var s=0;for(a=n;a<e;++a){var l;i=t[a];(l=(o=r)-((r=i+o)-i))&&(t[s++]=l)}return t[s++]=r,t.length=s,t}},{}],503:[function(t,e,r){\"use strict\";var 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===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 a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return 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a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=i},{\"../main\":580,\"object-assign\":459}],571:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),t=t<=0?t+1:t,(r=a.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=i},{\"../main\":580,\"object-assign\":459}],572:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var 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,n.local.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 a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":580,\"object-assign\":459}],573:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate).toJD(),i=this._toHaab(a),o=this._toTzolkin(a);return{haabMonthName:this.local.haabMonths[i[0]-1],haabMonth:i[0],haabDay:i[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return a.day()+20*a.month()+360*a.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=i},{\"../main\":580,\"object-assign\":459}],574:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===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 a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":580,\"object-assign\":459}],575:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var 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a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.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 a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":580,\"object-assign\":459}],578:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.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 a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":580,\"object-assign\":459}],579:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){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 i(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(c.local.invalidDate||c.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(a.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,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):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=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.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(c.local.invalidDate||c.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(c.local.differentCalendars||c.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,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.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,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.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,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.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),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),h={},f=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=i(t.layout,\"annotations\",f[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(h,s.getUpdateObj());for(r=0;r<u.length;r++)(s=i(t.layout,\"annotations\",f[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(h,s.getUpdateObj());return a.call(\"update\",t,{},h)}}},{\"../../lib\":735,\"../../plot_api/plot_template\":773,\"../../registry\":866}],588:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../color\");e.exports=function(t,e,r,i){i(\"opacity\");var o=i(\"bgcolor\"),s=i(\"bordercolor\"),l=a.opacity(s);i(\"borderpad\");var c=i(\"borderwidth\"),u=i(\"showarrow\");if(i(\"text\",u?\" \":r._dfltTitle.annotation),i(\"textangle\"),n.coerceFont(i,\"font\",r.font),i(\"width\"),i(\"align\"),i(\"height\")&&i(\"valign\"),u){var 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":761,\"fast-isnumeric\":237}],590:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],m=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)a.getFromId(p,m)._annIndices.push(e._index);if(a.coercePosition(e,p,i,m,g,.5),u){var v=\"a\"+g,y=a.coerceRef(t,e,p,v,\"pixel\");\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var 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S={x:{},y:{}},E=+e.textangle||0,C=x._infolayer.append(\"g\").classed(v,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),L=C.append(\"g\").classed(\"annotation-text-g\",!0),P=_[e.showarrow?\"annotationTail\":\"annotationPosition\"],I=e.captureevents||_.annotationText||P,z=L.append(\"g\").style(\"pointer-events\",I?\"all\":null).call(f,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",q(n.event))}));e.hovertext&&z.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,a=this.getBoundingClientRect(),i=t.getBoundingClientRect();u.loneHover({x0:a.left-i.left,x1:a.right-i.left,y:(a.top+a.bottom)/2-i.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:x._hoverlayer.node(),outerContainer:x._paper.node(),gd:t})})).on(\"mouseout\",(function(){u.loneUnhover(x._hoverlayer.node())}));var O=e.borderwidth,D=e.borderpad,R=O+D,F=z.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",O+\"px\").call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),B=e.width||e.height,N=x._topclips.selectAll(\"#\"+A).data(B?[0]:[]);N.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",A).append(\"rect\"),N.exit().remove();var j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append(\"text\").classed(\"annotation-text\",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",(function(r){e.text=r,this.call(H),k(\"text\",r),s&&s.autorange&&T(s._name+\".autorange\",!0),m&&m.autorange&&T(m._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())})):V.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return 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dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-v)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(I-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var mt=R+gt-d.top,vt=R+dt-d.left;V.call(h.positionText,vt,mt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,I),F.call(c.setRect,O/2,O/2,D-O,j-O),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),L.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){C.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,v=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,v,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),I=+F.attr(\"height\"),O=v-.5*P,D=O+P,R=y-.5*I,B=R+I,N=[[O,R,O,B],[O,B,D,B],[D,B,D,R],[D,R,O,R]].map(A);if(!N.reduce((function(t,e){return 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n=t(\"../annotations/attributes\"),a=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plot_api/plot_template\").templatedArray;e.exports=a(i(\"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\")},{\"../../plot_api/edit_types\":766,\"../../plot_api/plot_template\":773,\"../annotations/attributes\":585}],595:[function(t,e,r){\"use 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n.coerce(t,e,s,r,a)}function c(t){var n=t+\"axis\",i={_fullLayout:{}};return i._fullLayout[n]=r[n],a.coercePosition(e,i,l,t,t,.5)}l(\"visible\")&&(o(t,e,i.fullLayout,l),c(\"x\"),c(\"y\"),c(\"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\"])))}e.exports=function(t,e,r){i(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":735,\"../../plots/array_container_defaults\":779,\"../../plots/cartesian/axes\":783,\"../annotations/common_defaults\":588,\"./attributes\":594}],597:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,a=t(\"../../plots/gl3d/project\"),i=[\"x\",\"y\",\"z\"];e.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],c=!1,u=0;u<3;u++){var h=i[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=a(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))}}},{\"../../plots/gl3d/project\":834,\"../annotations/draw\":591}],598:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var i=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var 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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(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:v,surface:v,mesh3d:v,scattergl:m,ohlc:g,candlestick:g},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"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:c,handleTraceDefaults:function(t,e,r,n){for(var 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S=/<extra>([\\s\\S]*)<\\/extra>/;function E(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||m.HOVERFONT,_=e.fontSize||m.HOVERFONTSIZE,w=t[0],T=w.xa,S=w.ya,E=\"y\"===i.charAt(0)?\"yLabel\":\"xLabel\",L=w[E],P=(String(L)||\"\").split(\" \")[0],I=p.node().getBoundingClientRect(),z=I.top,O=I.width,D=I.height,R=void 0!==L&&w.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split(\"+\");if(-1===j.indexOf(\"all\")&&-1===j.indexOf(i)){R=!1;break}}N&&(R=!1)}var U=f.selectAll(\"g.axistext\").data(R?[0]:[]);function V(t){return t.filter((function(t){return void 0!==t.zLabelVal||(t[E]||\"\").split(\" \")[0]===P}))}if(U.enter().append(\"g\").classed(\"axistext\",!0),U.exit().remove(),U.each((function(){var 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E=x.width/2+M;v<E?(v=E,s.attr(\"d\",\"M-\"+(E-k)+\",0L-\"+(E-2*k)+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"Z\")):v>a.width-E?(v=a.width-E,s.attr(\"d\",\"M\"+(E-k)+\",0L\"+E+\",\"+A+k+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"H\"+(E-2*k)+\"Z\")):s.attr(\"d\",\"M0,0L\"+k+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+(M+x.width/2)+\"V\"+A+k+\"H-\"+k+\"Z\")}else{var C,P,I;\"right\"===S.side?(C=\"start\",P=1,I=\"\",v=T._offset+T._length):(C=\"end\",P=-1,I=\"-\",v=T._offset),y=S._offset+(w.y0+w.y1)/2,c.attr(\"text-anchor\",C),s.attr(\"d\",\"M0,0L\"+I+k+\",\"+k+\"V\"+(M+x.height/2)+\"h\"+I+(2*M+x.width)+\"V-\"+(M+x.height/2)+\"H\"+I+k+\"V-\"+k+\"Z\");var O,D=x.height/2,R=z-x.top-D,F=\"clip\"+a._uid+\"commonlabel\"+S._id;if(v<x.width+2*M+k){O=\"M-\"+(k+M)+\"-\"+D+\"h-\"+(x.width-M)+\"V\"+D+\"h\"+(x.width-M)+\"Z\";var B=x.width-v+M;l.positionText(c,B,R),\"end\"===C&&c.selectAll(\"tspan\").each((function(){var 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t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,b,_)})),it.exit().remove(),it.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.bgcolor||t.color,f=h.combine(h.opacity(o)?o:h.defaultLine,c),p=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),d=t.borderColor||h.contrast(f),g=C(t,R,i,a,L,e),m=g[0],v=g[1],y=e.select(\"text.nums\").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||d).text(m).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r),w=e.select(\"text.name\"),T=0,A=0;if(v&&v!==m){w.call(u.font,t.fontFamily||b,t.fontSize||_,p).text(v).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r);var S=w.node().getBoundingClientRect();T=S.width+2*M,A=S.height+2*M}else w.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:f,stroke:d});var E,P,I=y.node().getBoundingClientRect(),F=t.xa._offset+(t.x0+t.x1)/2,B=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),U=I.width+k+M+T;if(t.ty0=z-I.top,t.bx=I.width+2*M,t.by=Math.max(I.height+2*M,A),t.anchor=\"start\",t.txwidth=I.width,t.tx2width=T,t.offset=0,s)t.pos=F,E=B+j/2+U<=D,P=B-j/2-U>=0,\"top\"!==t.idealAlign&&E||!P?E?(B+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(B-=j/2,t.anchor=\"end\");else if(t.pos=B,E=F+N/2+U<=O,P=F-N/2-U>=0,\"left\"!==t.idealAlign&&E||!P)if(E)F+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var V=U/2,q=F+V-O,H=F-V;q>0&&(F-=q),H<0&&(F+=-H)}else F-=N/2,t.anchor=\"end\";y.attr(\"text-anchor\",t.anchor),T&&w.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",\"translate(\"+F+\",\"+B+\")\"+(s?\"rotate(\"+x+\")\":\"\"))})),it}function C(t,e,r,n,a,i){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=O(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[r.charAt(0)+\"Label\"]===a?l=t[(\"x\"===r.charAt(0)?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),i&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&i.remove(),l=s);var c=n._d3locale,u=t.hovertemplate||!1,h=t.hovertemplateLabels||t,f=t.eventData[0]||{};return u&&(l=(l=o.hovertemplateString(u,h,c,f,t.trace._meta)).replace(S,(function(e,r){return s=O(r,t.nameLength),\"\"}))),[l,s]}function L(t,e){t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var 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r=t.index,n=t.trace||{},i=t.cd[0],s=t.cd[r]||{};function l(t){return t||a(t)&&0===t}var c=Array.isArray(r)?function(t,e){var a=o.castOption(i,r,t);return l(a)?a:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var a=c(r,n);l(a)&&(t[e]=a)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/pad_attributes\"),i=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:i(a({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":726,\"../../plot_api/edit_types\":766,\"../../plot_api/plot_template\":773,\"../../plots/animation_attributes\":778,\"../../plots/font_attributes\":811,\"../../plots/pad_attributes\":845,\"./constants\":693}],693:[function(t,e,r){\"use 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T={y:e.y,b:h.height*d[w],t:h.height*p[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*p[_],T.r=0,T.xr=e.x+e.len*d[_]):(T.x=e.x,T.l=h.outerLength*p[_],T.r=h.outerLength*d[_]),a.autoMargin(t,g(e),T)}function y(t,e,r){if(e.currentvalue.visible){var n,a,i=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=i.inputAreaLength-u.currentValueInset-i.currentValueMaxWidth,a=\"left\";break;case\"center\":n=.5*i.inputAreaLength,a=\"middle\";break;default:n=u.currentValueInset,a=\"left\"}var c=s.ensureSingle(t,\"text\",u.labelClass,(function(t){t.classed(\"user-select-none\",!0).attr({\"text-anchor\":a,\"data-notex\":1})})),h=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var 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n=t(\"d3\"),a=t(\"country-regex\"),i=t(\"@turf/area\"),o=t(\"@turf/centroid\"),s=t(\"@turf/bbox\"),l=t(\"./identity\"),c=t(\"./loggers\"),u=t(\"./is_plain_object\"),h=t(\"./nested_property\"),f=t(\"./polygon\"),p=Object.keys(a),d={\"ISO-3\":l,\"USA-states\":l,\"country names\":function(t){for(var e=0;e<p.length;e++){var r=p[e];if(new RegExp(a[r]).test(t.trim().toLowerCase()))return r}return c.log(\"Unrecognized country name: \"+t+\".\"),!1}};function g(t){var e=t.geojson,r=window.PlotlyGeoAssets||{},n=\"string\"==typeof e?r[e]:e;return u(n)?n:(c.error(\"Oops ... something went wrong when fetching \"+e),!1)}e.exports={locationToFeature:function(t,e,r){if(!e||\"string\"!=typeof e)return!1;var n,a,i,o=d[t](e);if(o){if(\"USA-states\"===t)for(n=[],i=0;i<r.length;i++)(a=r[i]).properties&&a.properties.gu&&\"USA\"===a.properties.gu&&n.push(a);else n=r;for(i=0;i<n.length;i++)if((a=n[i]).id===o)return a;c.log([\"Location with id\",o,\"does not have a matching topojson feature at this 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n=t(\"fast-isnumeric\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../array_container_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./tick_value_defaults\"),c=t(\"./tick_mark_defaults\"),u=t(\"./tick_label_defaults\"),h=t(\"./category_order_defaults\"),f=t(\"./line_grid_defaults\"),p=t(\"./set_convert\"),d=t(\"./constants\").WEEKDAY_PATTERN,g=t(\"./constants\").HOUR_PATTERN;function m(t,e,r){function a(r,n){return i.coerce(t,e,s.rangebreaks,r,n)}if(a(\"enabled\")){var o=a(\"bounds\");if(o&&o.length>=2){var l,c,u=\"\";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var h=a(\"pattern\",u);if(h===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(h)for(l=0;l<2;l++)switch(c=o[l],h){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var 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n=t(\"../../lib\"),a=t(\"./axis_ids\").id2name,i=t(\"./scale_zoom\"),o=t(\"./autorange\").makePadFn,s=t(\"./autorange\").concatExtremes,l=t(\"../../constants/numerical\").ALMOST_EQUAL,c=t(\"../../constants/alignment\").FROM_BL;function u(t,e,r,n,i){var o,s,l,c,u=\"range\"!==i,h=n[a(e)].type,f=[];for(s=0;s<r.length;s++)if((l=r[s])!==e&&(c=n[a(l)]).type===h)if(c.fixedrange){if(u&&c.anchor){n[a(c.anchor)].fixedrange&&f.push(l)}}else f.push(l);for(o=0;o<t.length;o++)if(t[o][e]){var p=t[o],d=[];for(s=0;s<f.length;s++)p[l=f[s]]||d.push(l);return{linkableAxes:d,thisGroup:p}}return{linkableAxes:f,thisGroup:null}}function h(t,e,r,n,a){var i,o,s,l,c;null===e?((e={})[r]=1,c=t.length,t.push(e)):c=t.indexOf(e);var u=Object.keys(e);for(i=0;i<t.length;i++)if(s=t[i],i!==c&&s[n]){var h=s[n];for(o=0;o<u.length;o++)s[l=u[o]]=h*a*e[l];return void t.splice(c,1)}if(1!==a)for(o=0;o<u.length;o++)e[u[o]]*=a;e[n]=1}function f(t,e){var 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n._length*(n._rl[e]-a)/(n._rl[e]-n._rl[i])}}function Nt(t,e){for(var r=rt.isSubplotConstrained?{x:J,y:X}[t]:rt[t+\"axes\"],n=rt.isSubplotConstrained?{x:X,y:J}[t]:[],a=0;a<r.length;a++){var i=r[a],o=i._id,s=rt.xLinks[o]||rt.yLinks[o],l=n[0]||W[s]||Z[s];l&&(e?(e[i._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[i._name+\".range[1]\"]=e[l._name+\".range[1]\"]):i.range=l.range.slice())}}function jt(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(ot&&(n(X),n(et.xaxes),n(rt.xaxes)),st&&(n(J),n(et.yaxes),n(rt.yaxes)),ht={},e=0;e<r.length;e++){var a=r[e],i=w(t,a);f.drawOne(t,i,{skipTitle:!0}),ht[i._name+\".range[0]\"]=i.range[0],ht[i._name+\".range[1]\"]=i.range[1]}f.redrawComponents(t,r)}function Ut(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];nt&&(r=r.concat(X)),at&&(r=r.concat(J)),rt.xaxes&&(r=r.concat(rt.xaxes)),rt.yaxes&&(r=r.concat(rt.yaxes));var n,a,i,s={};if(\"reset+autosize\"===e)for(e=\"autosize\",a=0;a<r.length;a++)if((n=r[a])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e=\"reset\";break}if(\"autosize\"===e)for(a=0;a<r.length;a++)(n=r[a]).fixedrange||(s[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((nt||et.isSubplotConstrained)&&(r=r.concat(et.xaxes)),at&&!et.isSubplotConstrained&&(r=r.concat(et.yaxes)),et.isSubplotConstrained&&(nt?at||(r=r.concat(J)):r=r.concat(X)),a=0;a<r.length;a++)(n=r[a]).fixedrange||(n._rangeInitial?(i=n._rangeInitial,s[n._name+\".range[0]\"]=i[0],s[n._name+\".range[1]\"]=i[1]):s[n._name+\".autorange\"]=!0);t.emit(\"plotly_doubleclick\",null),o.call(\"_guiRelayout\",t,s)}}function Vt(){qt([0,0,$,tt]),s.syncOrAsync([_.previousPromises,function(){t._fullLayout._replotting=!1,o.call(\"_guiRelayout\",t,ht)}],t)}function qt(e){var r,n,a,i,l=t._fullLayout,c=l._plots,h=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<h.length;r++)if(a=(n=c[h[r]]).xaxis,i=n.yaxis,n._scene){var f=s.simpleMap(a.range,a.r2l),p=s.simpleMap(i.range,i.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||lt)&&(x(t),b(t)),ut){var d=e[2]/P._length,m=e[3]/j._length;for(r=0;r<h.length;r++){a=(n=c[h[r]]).xaxis,i=n.yaxis;var v,y,_,w,T=ot&&!a.fixedrange&&W[a._id],k=st&&!i.fixedrange&&Z[i._id];if(T?(v=d,_=L?e[0]:Yt(a,v)):rt.xaHash[a._id]?(v=d,_=e[0]*a._length/P._length):rt.yaHash[a._id]?(v=m,_=\"ns\"===at?-e[1]*a._length/j._length:Yt(a,v,{n:\"top\",s:\"bottom\"}[at])):_=Gt(a,v=Ht(a,d,m)),k?(y=m,w=g?e[1]:Yt(i,y)):rt.yaHash[i._id]?(y=m,w=e[1]*i._length/j._length):rt.xaHash[i._id]?(y=d,w=\"ew\"===nt?-e[0]*i._length/P._length:Yt(i,y,{e:\"right\",w:\"left\"}[nt])):w=Gt(i,y=Ht(i,d,m)),v||y){v||(v=1),y||(y=1);var 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n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),i=Ft.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(ot){for(L||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Nt(\"x\"),Ot[2]*=a,Ot[0]+=Ot[2]*o*(1/a-1)}if(st){for(g||(l=.5),n=0;n<J.length;n++)c(J[n],l,a);Nt(\"y\"),Ot[3]*=a,Ot[1]+=Ot[3]*(1-l)*(1/a-1)}qt(Ot),jt(),t.emit(\"plotly_relayouting\",ht),Dt=setTimeout((function(){Ot=[0,0,$,tt],Vt()}),Rt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),vt},makeDragger:P,makeRectDragger:I,makeZoombox:F,makeCorners:B,updateZoombox:N,xyCorners:q,transitionZoombox:j,removeZoombox:U,showDoubleClickNotifier:V,attachWheelEventHandler:G}},{\"../../components/color\":602,\"../../components/dragelement\":621,\"../../components/dragelement/helpers\":620,\"../../components/drawing\":624,\"../../components/fx\":642,\"../../constants/alignment\":704,\"../../lib\":735,\"../../lib/clear_gl_canvases\":720,\"../../lib/setcursor\":755,\"../../lib/svg_text_utils\":759,\"../../plot_api/subroutines\":774,\"../../registry\":866,\"../plots\":846,\"./axes\":783,\"./axis_ids\":786,\"./constants\":789,\"./scale_zoom\":801,\"./select\":802,d3:165,\"has-passive-events\":414,tinycolor2:535}],792:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/fx\"),i=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var 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n=t(\"d3\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../components/fx\"),c=t(\"../plots\"),u=t(\"../cartesian/axes\"),h=t(\"../cartesian/autorange\").getAutoRange,f=t(\"../../components/dragelement\"),p=t(\"../cartesian/select\").prepSelect,d=t(\"../cartesian/select\").clearSelect,g=t(\"../cartesian/select\").selectOnClick,m=t(\"./zoom\"),v=t(\"./constants\"),y=t(\"../../lib/geo_location_utils\"),x=t(\"../../lib/topojson_utils\"),b=t(\"topojson-client\").feature;function 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e=t.projection.type,r=n.geo[v.projNames[e]](),a=t._isClipped?v.lonaxisSpan[e]/2:null,i=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],o=function(t){return t?r:[]},s=0;s<i.length;s++){var l=i[s];\"function\"!=typeof r[l]&&(r[l]=o)}r.isLonLatOverEdges=function(t){if(null===r(t))return!0;if(a){var e=r.rotate();return n.geo.distance(t,[-e[0],-e[1]])>a*Math.PI/180}return!1},r.getPath=function(){return n.geo.path().projection(r)},r.getBounds=function(t){return r.getPath().bounds(t)},r.fitExtent=function(t,e){var n=t[1][0]-t[0][0],a=t[1][1]-t[0][1],i=r.clipExtent&&r.clipExtent();r.scale(150).translate([0,0]),i&&r.clipExtent(null);var o=r.getBounds(e),s=Math.min(n/(o[1][0]-o[0][0]),a/(o[1][1]-o[0][1])),l=+t[0][0]+(n-s*(o[1][0]+o[0][0]))/2,c=+t[0][1]+(a-s*(o[1][1]+o[0][1]))/2;return i&&r.clipExtent(i),r.scale(150*s).translate([l,c])},r.precision(v.precision),a&&r.clipAngle(a-v.clipPad);return 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r=this.bounds,n=(e.framewidth||0)/2,a=r[0][0]-n,i=r[0][1]-n,l=r[1][0]-a+n,c=r[1][1]-i+n;s.setRect(this.clipRect,a,i,l,c),this.bgRect.call(s.setRect,a,i,l,c).call(o.fill,e.bgcolor),this.xaxis._offset=a,this.xaxis._length=l,this.yaxis._offset=i,this.yaxis._length=c},w.updateFx=function(t,e){var r=this,i=r.graphDiv,o=r.bgRect,s=t.dragmode,c=t.clickmode;if(!r.isStatic){var u;\"select\"===s?u=function(t,e){(t.range={})[r.id]=[v([e.xmin,e.ymin]),v([e.xmax,e.ymax])]}:\"lasso\"===s&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(v)});var h={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&d(i)}};\"pan\"===s?(o.node().onmousedown=null,o.call(m(r,e)),o.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},w.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},w.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"./constants\"),o=t(\"../../plot_api/edit_types\").overrideAll,s={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1}};(e.exports=o({domain:a({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:Object.keys(i.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:Object.keys(i.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:i.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:i.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:i.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:i.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:s,lataxis:s},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":601,\"../../plot_api/edit_types\":766,\"../domain\":810,\"./constants\":813}],817:[function(t,e,r){\"use 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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(i,o,\"on\")}function g(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 m(t){var e=.5*t[0]*o,r=.5*t[1]*o,n=.5*t[2]*o,a=Math.sin(e),i=Math.cos(e),s=Math.sin(r),l=Math.cos(r),c=Math.sin(n),u=Math.cos(n);return[i*l*u+a*s*c,a*l*u-i*s*c,i*s*u+a*l*c,i*l*c-a*s*u]}function v(t,e){var r=t[0],n=t[1],a=t[2],i=t[3],o=e[0],s=e[1],l=e[2],c=e[3];return[r*o-n*s-a*l-i*c,r*s+n*o+a*c-i*l,r*l-n*c+a*o+i*s,r*c+n*l-a*s+i*o]}function y(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(k(r,r)),a=.5*Math.acos(Math.max(-1,Math.min(1,k(t,e)))),i=Math.sin(a)/n;return n&&[Math.cos(a),r[2]*i,-r[1]*i,r[0]*i]}}function x(t,e,r){var n=w(e,2,t[0]);n=w(n,1,t[1]),n=w(n,0,t[2]-r[2]);var a,i,o=e[0],l=e[1],c=e[2],u=n[0],h=n[1],f=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(h)>d?(i=(h>0?90:-90)-p,a=0):(i=Math.asin(h/d)*s-p,a=Math.sqrt(d*d-h*h));var g=180-i-2*p,m=(Math.atan2(f,u)-Math.atan2(c,a))*s,v=(Math.atan2(f,u)-Math.atan2(c,-a))*s;return b(r[0],r[1],i,m)<=b(r[0],r[1],g,v)?[i,m,r[2]]:[g,v,r[2]]}function b(t,e,r,n){var a=_(r-t),i=_(n-e);return Math.sqrt(a*a+i*i)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,a=t.slice(),i=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return a[i]=t[i]*l-t[s]*c,a[s]=t[s]*l+t[i]*c,a}function T(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]}function k(t,e){for(var r=0,n=0,a=t.length;n<a;++n)r+=t[n]*e[n];return r}e.exports=function(t,e){var 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c}},{\"../registry\":866,\"./cartesian/constants\":789}],821:[function(t,e,r){\"use strict\";var n=t(\"mouse-change\"),a=t(\"mouse-wheel\"),i=t(\"mouse-event-offset\"),o=t(\"../cartesian/constants\"),s=t(\"has-passive-events\");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]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function h(e,n,a){var i,s,l=t.calcDataBox(),h=r.viewBox,f=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,g=o.MINZOOM*r.pixelRatio;function m(e,r,n){var a=Math.min(r,n),i=Math.max(r,n);a!==i?(l[e]=a,l[e+2]=i,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,a*=r.pixelRatio,a=h[3]-h[1]-a,t.fullLayout.dragmode){case\"zoom\":if(e){var v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=a/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=a),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-a)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,a=0;a<e.length;a++)if(-1!==e[a][r]){if(-1!==e[a][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{i=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(i*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(i)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(i>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(i=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],i||s?(i&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=a),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-a)<d&&(a=c.dragStart[1]),i=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-a)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=i,l[2]+=i,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=a}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=a(e,(function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":789,\"has-passive-events\":414,\"mouse-change\":440,\"mouse-event-offset\":441,\"mouse-wheel\":443}],822:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function 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o=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).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[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=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=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.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},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":758,\"../cartesian/axes\":783}],823:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new 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e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":643,\"../../constants/xmlns_namespaces\":712,\"../../plot_api/edit_types\":766,\"../cartesian\":796,\"../cartesian/attributes\":781,\"../cartesian/constants\":789,\"../get_data\":820,\"../layout_attributes\":837,\"./scene2d\":824}],824:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").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=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(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())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({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),r.className+=\" user-select-none\";var i=this.svgContainer=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\";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(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.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,a=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 i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},M.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},M.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]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},M.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],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].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())},M.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&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.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}},M.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 a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},M.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.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},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},M.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,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=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])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.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 g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.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])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,a,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":620,\"../../components/fx\":642,\"../../lib/show_no_webgl_msg\":756,\"../../plots/cartesian/axes\":783,\"../../registry\":866,\"../cartesian/autorange\":782,\"../cartesian/constants\":789,\"../cartesian/constraints\":790,\"./camera\":821,\"./convert\":822,\"gl-plot2d\":297,\"gl-select-box\":309,\"gl-spikes2d\":318,\"webgl-context\":565}],825:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._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()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":643,\"../../constants/xmlns_namespaces\":712,\"../../lib\":735,\"../../plot_api/edit_types\":766,\"../get_data\":820,\"./layout/attributes\":826,\"./layout/defaults\":830,\"./layout/layout_attributes\":831,\"./scene\":835}],826:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],827:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.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:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":602,\"../../../lib/extend\":726,\"../../../plot_api/edit_types\":766,\"../../cartesian/layout_attributes\":797}],828:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":735,\"../../../plot_api/plot_template\":773,\"../../cartesian/axis_defaults\":785,\"../../cartesian/type_defaults\":808,\"./axis_attributes\":827,tinycolor2:535}],829:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"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=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":735,\"../../../lib/str2rgbarray\":758}],830:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],h=0;h<u.length;h++)r(\"camera.\"+u[h]+\".x\"),r(\"camera.\"+u[h]+\".y\"),r(\"camera.\"+u[h]+\".z\");r(\"camera.projection.type\");var f=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",f?\"manual\":\"auto\");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":602,\"../../../lib\":735,\"../../../registry\":866,\"../../get_data\":820,\"../../subplot_defaults\":860,\"./axis_defaults\":828,\"./layout_attributes\":831}],831:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").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\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({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\"}}}},{\"../../../lib\":735,\"../../../lib/extend\":726,\"../../domain\":810,\"./axis_attributes\":827}],832:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){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]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":758}],833:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":735,\"../../cartesian/axes\":783}],834:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],835:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=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\",r.appendChild(a),this.svgContainer=a,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=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.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},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",(function(){a(t)})),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,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}}),!!c&&{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},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var v=m(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},T=p.castHoverinfo(b,e.fullLayout,_),k=(T||\"\").split(\"+\"),M=T&&\"all\"===T;b.hovertemplate||M||(-1===k.indexOf(\"x\")&&(w.xLabel=void 0),-1===k.indexOf(\"y\")&&(w.yLabel=void 0),-1===k.indexOf(\"z\")&&(w.zLabel=void 0),-1===k.indexOf(\"text\")&&(u.textLabel=void 0),-1===k.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==k.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==k.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==k.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==k.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==k.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.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):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function k(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var 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Z=n.svg.axis().scale(r).ticks(5).tickSize(5);H.call(Z).attr({transform:\"rotate(\"+f.radialAxis.orientation+\")\"}),H.selectAll(\".domain\").style(F),H.selectAll(\"g>text\").text((function(t,e){return this.textContent+f.radialAxis.ticksSuffix})).style(B).style({\"text-anchor\":\"start\"}).attr({x:0,y:0,dx:0,dy:0,transform:function(t,e){return\"horizontal\"===f.radialAxis.tickOrientation?\"rotate(\"+-f.radialAxis.orientation+\") translate(\"+[0,B[\"font-size\"]]+\")\":\"translate(\"+[0,B[\"font-size\"]]+\")\"}}),H.selectAll(\"g>line\").style({stroke:\"black\"})}var X=t.select(\".angular.axis-group\").selectAll(\"g.angular-tick\").data(I),J=X.enter().append(\"g\").classed(\"angular-tick\",!0);X.attr({transform:function(t,e){return\"rotate(\"+W(t)+\")\"}}).style({display:f.angularAxis.visible?\"block\":\"none\"}),X.exit().remove(),J.append(\"line\").classed(\"grid-line\",!0).classed(\"major\",(function(t,e){return e%(f.minorTicks+1)==0})).classed(\"minor\",(function(t,e){return!(e%(f.minorTicks+1)==0)})).style(F),J.selectAll(\".minor\").style({stroke:f.minorTickColor}),X.select(\"line.grid-line\").attr({x1:f.tickLength?x-f.tickLength:0,x2:x}).style({display:f.angularAxis.gridLinesVisible?\"block\":\"none\"}),J.append(\"text\").classed(\"axis-text\",!0).style(B);var K=X.select(\"text.axis-text\").attr({x:x+f.labelOffset,dy:i+\"em\",transform:function(t,e){var r=W(t),n=x+f.labelOffset,a=f.angularAxis.tickOrientation;return\"horizontal\"==a?\"rotate(\"+-r+\" \"+n+\" 0)\":\"radial\"==a?r<270&&r>90?\"rotate(180 \"+n+\" 0)\":null:\"rotate(\"+(r<=180&&r>0?-90:90)+\" \"+n+\" 0)\"}}).style({\"text-anchor\":\"middle\",display:f.angularAxis.labelsVisible?\"block\":\"none\"}).text((function(t,e){return e%(f.minorTicks+1)!=0?\"\":w?w[t]+f.angularAxis.ticksSuffix:t+f.angularAxis.ticksSuffix})).style(B);f.angularAxis.rewriteTicks&&K.text((function(t,e){return e%(f.minorTicks+1)!=0?\"\":f.angularAxis.rewriteTicks(this.textContent,e)}));var Q=n.max(R.selectAll(\".angular-tick text\")[0].map((function(t,e){return t.getCTM().e+t.getBBox().width})));D.attr({transform:\"translate(\"+[x+Q,f.margin.top]+\")\"});var $=t.select(\"g.geometry-group\").selectAll(\"g\").size()>0,tt=t.select(\"g.geometry-group\").selectAll(\"g.geometry\").data(p);if(tt.enter().append(\"g\").attr({class:function(t,e){return\"geometry geometry\"+e}}),tt.exit().remove(),p[0]||$){var et=[];p.forEach((function(t,e){var n={};n.radialScale=r,n.angularScale=s,n.container=tt.filter((function(t,r){return r==e})),n.geometry=t.geometry,n.orientation=f.orientation,n.direction=f.direction,n.index=e,et.push({data:t,geometryConfig:n})}));var rt=n.nest().key((function(t,e){return\"undefined\"!=typeof t.data.groupId||\"unstacked\"})).entries(et),nt=[];rt.forEach((function(t,e){\"unstacked\"===t.key?nt=nt.concat(t.values.map((function(t,e){return[t]}))):nt.push(t.values)})),nt.forEach((function(t,e){var r;r=Array.isArray(t)?t[0].geometryConfig.geometry:t.geometryConfig.geometry;var n=t.map((function(t,e){return a(o[r].defaultConfig(),t)}));o[r]().config(n)()}))}var at,it,ot=t.select(\".guides-group\"),st=t.select(\".tooltips-group\"),lt=o.tooltipPanel().config({container:st,fontSize:8})(),ct=o.tooltipPanel().config({container:st,fontSize:8})(),ut=o.tooltipPanel().config({container:st,hasTick:!0})();if(!k){var ht=ot.select(\"line\").attr({x1:0,y1:0,y2:0}).style({stroke:\"grey\",\"pointer-events\":\"none\"});R.on(\"mousemove.angular-guide\",(function(t,e){var r=o.util.getMousePos(Y).angle;ht.attr({x2:-x,transform:\"rotate(\"+r+\")\"}).style({opacity:.5});var n=(r+180+360-f.orientation)%360;at=s.invert(n);var a=o.util.convertToCartesian(x+12,r+180);lt.text(o.util.round(at)).move([a[0]+_[0],a[1]+_[1]])})).on(\"mouseout.angular-guide\",(function(t,e){ot.select(\"line\").style({opacity:0})}))}var ft=ot.select(\"circle\").style({stroke:\"grey\",fill:\"none\"});R.on(\"mousemove.radial-guide\",(function(t,e){var n=o.util.getMousePos(Y).radius;ft.attr({r:n}).style({opacity:.5}),it=r.invert(o.util.getMousePos(Y).radius);var a=o.util.convertToCartesian(n,f.radialAxis.orientation);ct.text(o.util.round(it)).move([a[0]+_[0],a[1]+_[1]])})).on(\"mouseout.radial-guide\",(function(t,e){ft.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()})),t.selectAll(\".geometry-group .mark\").on(\"mouseover.tooltip\",(function(e,r){var a=n.select(this),i=this.style.fill,s=\"black\",l=this.style.opacity||1;if(a.attr({\"data-opacity\":l}),i&&\"none\"!==i){a.attr({\"data-fill\":i}),s=n.hsl(i).darker().toString(),a.style({fill:s,opacity:1});var c={t:o.util.round(e[0]),r:o.util.round(e[1])};k&&(c.t=w[e[0]]);var u=\"t: 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u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return t},n.rebind(f,h,\"on\"),f},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:\"Line1\",geometry:\"LinePlot\",color:null,strokeDash:\"solid\",strokeColor:null,strokeSize:\"1\",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:\"gray\",outlineColor:\"white\",family:\"Tahoma, 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n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach((function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)}));var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce((function(t,e){if(\"undefined\"!=typeof t)return t[e]}),t);\"undefined\"!=typeof i&&(e.reduce((function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete 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o=r[2]?[r[0],r[1]+r[2]]:r,s=n.svg.symbol().size(t[i].data.dotSize).type(t[i].data.dotType)(r,a);n.select(this).attr({class:\"mark dot\",d:s,transform:function(t,r){var n,a,i,s=(n=function(t,r){var n=e.radialScale(t[1]),a=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:a}}(o),a=n.r*Math.cos(n.t),i=n.r*Math.sin(n.t),{x:a,y:i});return\"translate(\"+[s.x,s.y]+\")\"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(r,a,i){var s=r[2]?o[i].map((function(t,e){return[t[0],t[1]+t[2]]})):o[i];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[i].data.dotVisible},fill:d.stroke(r,a,i)}).attr({class:\"mark dot\"}),!(a>0)){var l=n.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,r){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return d.fill(r,a,i)},\"fill-opacity\":0,stroke:function(t,e){return d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-f/2})).endAngle((function(t){return f/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,a){n.select(this).attr({class:\"mark arc\",d:p,transform:function(t,r){return\"rotate(\"+(e.orientation+s(t[0])+90)+\")\"}})};var d={fill:function(e,r,n){return t[n].data.color},stroke:function(e,r,n){return t[n].data.strokeColor},\"stroke-width\":function(e,r,n){return t[n].data.strokeSize+\"px\"},\"stroke-dasharray\":function(e,n,a){return r[t[a].data.strokeDash]},opacity:function(e,r,n){return t[n].data.opacity},display:function(e,r,n){return\"undefined\"==typeof t[n].data.visible||t[n].data.visible?\"block\":\"none\"}},g=n.select(this).selectAll(\"g.layer\").data(o);g.enter().append(\"g\").attr({class:\"layer\"});var m=g.selectAll(\"path.mark\").data((function(t,e){return t}));m.enter().append(\"path\").attr({class:\"mark\"}),m.style(d).each(c[e.geometryType]),m.exit().remove(),g.exit().remove()}))}return i.config=function(e){return arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)})),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i}))})),o=n.merge(i);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),m=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var v=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);v.enter().append(\"stop\"),v.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,m(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,m=p.height+2*f;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[i.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n})),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":704,\"../../../lib\":735,d3:165}],856:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":602,\"../../../lib\":735,\"./micropolar\":855,\"./undo_manager\":857,d3:165}],857:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],858:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var I=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function O(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},I.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},I.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",(function(t){return\"polarsublayer \"+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),h.order()},I.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,m,v,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,v=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],m=[c[0]+v,c[1]-v]):(d=h,v=(u-(p=h/w))/n.w/2,g=[o[0]+v,o[1]-v],m=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=m;var T=this.xOffset2=n.l+n.w*g[0],k=this.yOffset2=n.t+n.h*(1-m[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=T-M*y[0],L=this.cy=k+M*y[3],P=this.cxx=S-T,I=this.cyy=L-k;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,I)),r.frontplot.attr(\"transform\",R(T,k)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,L)).call(s.fill,e.bgcolor)},I.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},I.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},I.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},I.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var m=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},v=z(f);if(r.radialTickLayout!==v&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=v),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:m,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:m,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(O(C(f.angle),r.vangles)):f.angle,w=R(c,h),T=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:T}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:T}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,m=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*m:g+.8*m}this.layers[\"radial-axis-title\"]=v.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},I.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:i.title.text,font:i.title.font},color:i.color,tickmode:i.tickmode,nticks:s({},i.nticks,{dflt:6,min:1}),tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,showtickprefix:i.showtickprefix,tickprefix:i.tickprefix,showticksuffix:i.showticksuffix,ticksuffix:i.ticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickfont:i.tickfont,tickangle:i.tickangle,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:s({},i.showline,{dflt:!0}),linecolor:i.linecolor,linewidth:i.linewidth,showgrid:s({},i.showgrid,{dflt:!0}),gridcolor:i.gridcolor,gridwidth:i.gridwidth,layer:i.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},c=e.exports=o({domain:a({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":601,\"../../lib/extend\":726,\"../../plot_api/edit_types\":766,\"../cartesian/layout_attributes\":797,\"../domain\":810}],864:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"../../plot_api/plot_template\"),i=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"../cartesian/tick_label_defaults\"),l=t(\"../cartesian/tick_mark_defaults\"),c=t(\"../cartesian/tick_value_defaults\"),u=t(\"../cartesian/line_grid_defaults\"),h=t(\"./layout_attributes\"),f=[\"aaxis\",\"baxis\",\"caxis\"];function p(t,e,r,i){var o,s,l,c=r(\"bgcolor\"),u=r(\"sum\");i.bgColor=n.combine(c,i.paper_bgcolor);for(var h=0;h<f.length;h++)s=t[o=f[h]]||{},(l=a.newContainer(e,o))._name=o,d(s,l,i,e);var p=e.aaxis,g=e.baxis,m=e.caxis;p.min+g.min+m.min>=u&&(p.min=0,g.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function d(t,e,r,n){var a=h[e._name];function o(r,n){return i.coerce(t,e,a,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var f=o(\"color\"),p=f!==a.color.dflt?f:r.font.color,d=e._name.charAt(0).toUpperCase(),g=\"Component \"+d,m=o(\"title.text\",g);e._hovertitle=m===g?m:d,i.coerceFont(o,\"title.font\",{family:r.font.family,size:Math.round(1.2*r.font.size),color:p}),o(\"min\"),c(t,e,o,\"linear\"),s(t,e,o,\"linear\",{}),l(t,e,o,{outerTicks:!0}),o(\"showticklabels\")&&(i.coerceFont(o,\"tickfont\",{family:r.font.family,size:r.font.size,color:p}),o(\"tickangle\"),o(\"tickformat\")),u(t,e,o,{dfltColor:f,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:a}),o(\"hoverformat\"),o(\"layer\")}e.exports=function(t,e,r){o(t,e,r,{type:\"ternary\",attributes:h,handleDefaults:p,font:e.font,paper_bgcolor:e.paper_bgcolor})}},{\"../../components/color\":602,\"../../lib\":735,\"../../plot_api/plot_template\":773,\"../cartesian/line_grid_defaults\":799,\"../cartesian/tick_label_defaults\":804,\"../cartesian/tick_mark_defaults\":805,\"../cartesian/tick_value_defaults\":806,\"../subplot_defaults\":860,\"./layout_attributes\":863}],865:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),m=t(\"../../components/dragelement/helpers\"),v=m.freeMode,y=m.rectMode,x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../cartesian/select\").clearSelectionsCache,k=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var A=M.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++){if(!1===t[a][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),f.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(l.fill,r.bgcolor)},A.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,a=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),c.setClipUrl(this.layers.backplot,n,e),c.setClipUrl(this.layers.grids,n,e)},A.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var a=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),i=[\"agrid\",\"bgrid\",\"cgrid\"];a.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&i.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),a.order()};var S=Math.sqrt(4/3);A.adjustLayout=function(t,e){var r,n,a,i,o,s,f=this,p=t.domain,d=(p.x[0]+p.x[1])/2,g=(p.y[0]+p.y[1])/2,m=p.x[1]-p.x[0],v=p.y[1]-p.y[0],y=m*e.w,x=v*e.h,b=t.sum,_=t.aaxis.min,w=t.baxis.min,T=t.caxis.min;y>S*x?a=(i=x)*S:i=(a=y)/S,o=m*a/y,s=v*i/x,r=e.l+e.w*d-a/2,n=e.t+e.h*(1-g)-i/2,f.x0=r,f.y0=n,f.w=a,f.h=i,f.sum=b,f.xaxis={type:\"linear\",range:[_+2*T-b,b-_-2*w],domain:[d-o/2,d+o/2],_id:\"x\"},u(f.xaxis,f.graphDiv._fullLayout),f.xaxis.setScale(),f.xaxis.isPtWithinRange=function(t){return t.a>=f.aaxis.range[0]&&t.a<=f.aaxis.range[1]&&t.b>=f.baxis.range[1]&&t.b<=f.baxis.range[0]&&t.c>=f.caxis.range[1]&&t.c<=f.caxis.range[0]},f.yaxis={type:\"linear\",range:[_,b-w-T],domain:[g-s/2,g+s/2],_id:\"y\"},u(f.yaxis,f.graphDiv._fullLayout),f.yaxis.setScale(),f.yaxis.isPtWithinRange=function(){return!0};var k=f.yaxis.domain[0],M=f.aaxis=h({},t.aaxis,{range:[_,b-w-T],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[k,k+s*S],anchor:\"free\",position:0,_id:\"y\",_length:a});u(M,f.graphDiv._fullLayout),M.setScale();var A=f.baxis=h({},t.baxis,{range:[b-_-T,w],side:\"bottom\",domain:f.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:a});u(A,f.graphDiv._fullLayout),A.setScale();var E=f.caxis=h({},t.caxis,{range:[b-_-w,T],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[k,k+s*S],anchor:\"free\",position:0,_id:\"y\",_length:a});u(E,f.graphDiv._fullLayout),E.setScale();var C=\"M\"+r+\",\"+(n+i)+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDef.select(\"path\").attr(\"d\",C),f.layers.plotbg.select(\"path\").attr(\"d\",C);var L=\"M0,\"+i+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDefRelative.select(\"path\").attr(\"d\",L);var P=\"translate(\"+r+\",\"+n+\")\";f.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),f.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=\"translate(\"+(r-A._offset)+\",\"+(n+i)+\")\";f.layers.baxis.attr(\"transform\",I),f.layers.bgrid.attr(\"transform\",I);var z=\"translate(\"+(r+a/2)+\",\"+n+\")rotate(30)translate(0,\"+-M._offset+\")\";f.layers.aaxis.attr(\"transform\",z),f.layers.agrid.attr(\"transform\",z);var O=\"translate(\"+(r+a/2)+\",\"+n+\")rotate(-30)translate(0,\"+-E._offset+\")\";f.layers.caxis.attr(\"transform\",O),f.layers.cgrid.attr(\"transform\",O),f.drawAxes(!0),f.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+i)+\"l\"+a/2+\",-\"+i:\"M0,0\").call(l.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),f.layers.bline.select(\"path\").attr(\"d\",A.showline?\"M\"+r+\",\"+(n+i)+\"h\"+a:\"M0,0\").call(l.stroke,A.linecolor||\"#000\").style(\"stroke-width\",(A.linewidth||0)+\"px\"),f.layers.cline.select(\"path\").attr(\"d\",E.showline?\"M\"+(r+a/2)+\",\"+n+\"l\"+a/2+\",\"+i:\"M0,0\").call(l.stroke,E.linecolor||\"#000\").style(\"stroke-width\",(E.linewidth||0)+\"px\"),f.graphDiv._context.staticPlot||f.initInteractions(),c.setClipUrl(f.layers.frontplot,f._hasClipOnAxisFalse?null:f.clipId,f.graphDiv)},A.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,a=this.aaxis,i=this.baxis,o=this.caxis;if(this.drawAx(a),this.drawAx(i),this.drawAx(o),t){var l=Math.max(a.showticklabels?a.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(i.showticklabels?i.tickfont.size:0)+(\"outside\"===i.ticks?i.ticklen:0)+3;n[\"a-title\"]=x.draw(e,\"a\"+r,{propContainer:a,propName:this.id+\".aaxis.title\",placeholder:s(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-a.title.font.size/3-l,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=x.draw(e,\"b\"+r,{propContainer:i,propName:this.id+\".baxis.title\",placeholder:s(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*i.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=x.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:s(e,\"Click to enter Component C title\"),attributes:{x:this.x0+this.w+c,y:this.y0+this.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}})}},A.drawAx=function(t){var e,r=this.graphDiv,n=t._name,a=n.charAt(0),i=t._id,s=this.layers[n],l=a+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);this[l]!==c&&(s.selectAll(\".\"+i+\"tick\").remove(),this[l]=c),t.setScale();var u=p.calcTicks(t),h=p.clipEnds(t,u),f=p.makeTransFn(t),d=p.getTickSigns(t)[2],g=o.deg2rad(30),m=d*(t.linewidth||1)/2,v=d*t.ticklen,y=this.w,x=this.h,b=\"b\"===a?\"M0,\"+m+\"l\"+Math.sin(g)*v+\",\"+Math.cos(g)*v:\"M\"+m+\",0l\"+Math.cos(g)*v+\",\"+-Math.sin(g)*v,_={a:\"M0,0l\"+x+\",-\"+y/2,b:\"M0,0l-\"+y/2+\",-\"+x,c:\"M0,0l-\"+x+\",\"+y/2}[a];p.drawTicks(r,t,{vals:\"inside\"===t.ticks?h:u,layer:s,path:b,transFn:f,crisp:!1}),p.drawGrid(r,t,{vals:h,layer:this.layers[a+\"grid\"],path:_,transFn:f,crisp:!1}),p.drawLabels(r,t,{vals:u,layer:s,transFn:f,labelFns:p.makeLabelFns(t,0,30)})};var E=k.MINZOOM/2+.87,C=\"m-0.87,.5h\"+E+\"v3h-\"+(E+5.2)+\"l\"+(E/2+2.6)+\",-\"+(.87*E+4.5)+\"l2.6,1.5l-\"+E/2+\",\"+.87*E+\"Z\",L=\"m0.87,.5h-\"+E+\"v3h\"+(E+5.2)+\"l-\"+(E/2+2.6)+\",-\"+(.87*E+4.5)+\"l-2.6,1.5l\"+E/2+\",\"+.87*E+\"Z\",P=\"m0,1l\"+E/2+\",\"+.87*E+\"l2.6,-1.5l-\"+(E/2+2.6)+\",-\"+(.87*E+4.5)+\"l-\"+(E/2+2.6)+\",\"+(.87*E+4.5)+\"l2.6,1.5l\"+E/2+\",-\"+.87*E+\"Z\",I=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}A.clearSelect=function(){T(this.dragOptions),w(this.dragOptions.gd)},A.initInteractions=function(){var t,e,r,n,u,h,f,p,m,x,w=this,T=w.layers.plotbg.select(\"path\").node(),M=w.graphDiv,A=M._fullLayout._zoomlayer;function E(t){var e={};return e[w.id+\".aaxis.min\"]=t.a,e[w.id+\".baxis.min\"]=t.b,e[w.id+\".caxis.min\"]=t.c,e}function O(t,e){var r=M._fullLayout.clickmode;z(M),2===t&&(M.emit(\"plotly_doubleclick\",null),i.call(\"_guiRelayout\",M,E({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&_(e,M,[w.xaxis],[w.yaxis],w.id,w.dragOptions),r.indexOf(\"event\")>-1&&g.click(M,e,w.id)}function D(t,e){return 1-e/w.h}function R(t,e){return 1-(t+(w.h-e)/Math.sqrt(3))/w.w}function F(t,e){return(t-(w.h-e)/Math.sqrt(3))/w.w}function B(a,i){var o=t+a,s=e+i,l=Math.max(0,Math.min(1,D(0,e),D(0,s))),c=Math.max(0,Math.min(1,R(t,e),R(o,s))),d=Math.max(0,Math.min(1,F(t,e),F(o,s))),g=(l/2+d)*w.w,v=(1-l/2-c)*w.w,y=(g+v)/2,b=v-g,_=(1-l)*w.h,T=_-b/S;b<k.MINZOOM?(u=r,m.attr(\"d\",f),x.attr(\"d\",\"M0,0Z\")):(u={a:r.a+l*n,b:r.b+c*n,c:r.c+d*n},m.attr(\"d\",f+\"M\"+g+\",\"+_+\"H\"+v+\"L\"+y+\",\"+T+\"L\"+g+\",\"+_+\"Z\"),x.attr(\"d\",\"M\"+t+\",\"+e+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+g+\",\"+_+C+\"M\"+v+\",\"+_+L+\"M\"+y+\",\"+T+P)),p||(m.transition().style(\"fill\",h>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),x.transition().style(\"opacity\",1).duration(200),p=!0),M.emit(\"plotly_relayouting\",E(u))}function N(){z(M),u!==r&&(i.call(\"_guiRelayout\",M,E(u)),I&&M.data&&M._context.showTips&&(o.notifier(s(M,\"Double-click to zoom back out\"),\"long\"),I=!1))}function j(t,e){var n=t/w.xaxis._m,a=e/w.yaxis._m,i=[(u={a:r.a-a,b:r.b+(n+a)/2,c:r.c-(n-a)/2}).a,u.b,u.c].sort(),o=i.indexOf(u.a),s=i.indexOf(u.b),l=i.indexOf(u.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),u={a:i[o],b:i[s],c:i[l]},e=(r.a-u.a)*w.yaxis._m,t=(r.c-u.c-r.b+u.b)*w.xaxis._m);var h=\"translate(\"+(w.x0+t)+\",\"+(w.y0+e)+\")\";w.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var f=\"translate(\"+-t+\",\"+-e+\")\";w.clipDefRelative.select(\"path\").attr(\"transform\",f),w.aaxis.range=[u.a,w.sum-u.b-u.c],w.baxis.range=[w.sum-u.a-u.c,u.b],w.caxis.range=[w.sum-u.a-u.b,u.c],w.drawAxes(!1),w._hasClipOnAxisFalse&&w.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(c.hideOutsideRangePoints,w),M.emit(\"plotly_relayouting\",E(u))}function U(){i.call(\"_guiRelayout\",M,E(u))}this.dragOptions={element:T,gd:M,plotinfo:{id:w.id,domain:M._fullLayout[w.id].domain,xaxis:w.xaxis,yaxis:w.yaxis},subplot:w.id,prepFn:function(i,o,s){w.dragOptions.xaxes=[w.xaxis],w.dragOptions.yaxes=[w.yaxis];var c=w.dragOptions.dragmode=M._fullLayout.dragmode;v(c)?w.dragOptions.minDrag=1:w.dragOptions.minDrag=void 0,\"zoom\"===c?(w.dragOptions.moveFn=B,w.dragOptions.clickFn=O,w.dragOptions.doneFn=N,function(i,o,s){var c=T.getBoundingClientRect();t=o-c.left,e=s-c.top,r={a:w.aaxis.range[0],b:w.baxis.range[1],c:w.caxis.range[1]},u=r,n=w.aaxis.range[1]-r.a,h=a(w.graphDiv._fullLayout[w.id].bgcolor).getLuminance(),f=\"M0,\"+w.h+\"L\"+w.w/2+\", 0L\"+w.w+\",\"+w.h+\"Z\",p=!1,m=A.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",\"translate(\"+w.x0+\", 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o,s,l=e.pos,c=e.val,u=i.bPos,h=i.wdPos||0,f=i.bPosPxOffset||0,p=r.whiskerwidth||0,d=r.notched||!1,g=d?1-2*r.notchwidth:1;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var m=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?a.identity:[]);m.enter().append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").attr(\"class\",\"box\"),m.exit().remove(),m.each((function(t){if(t.empty)return\"M0,0Z\";var e=l.c2l(t.pos+u,!0),i=l.l2p(e)+f,m=l.l2p(e-o)+f,v=l.l2p(e+s)+f,y=l.l2p(e-h)+f,x=l.l2p(e+h)+f,b=l.l2p(e-o*g)+f,_=l.l2p(e+s*g)+f,w=c.c2p(t.q1,!0),T=c.c2p(t.q3,!0),k=a.constrain(c.c2p(t.med,!0),Math.min(w,T)+1,Math.max(w,T)-1),M=void 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n=t(\"../pie/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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e.visible=!1}},{\"../../lib\":735,\"../../plots/domain\":810,\"../bar/defaults\":880,\"../pie/defaults\":1117,\"./attributes\":1011}],1015:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"funnelarea\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"funnelarea\",\"showLegend\"],attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),style:t(\"./style\"),styleOne:t(\"../pie/style_one\"),meta:{}}},{\"../pie/style_one\":1125,\"./attributes\":1011,\"./base_plot\":1012,\"./calc\":1013,\"./defaults\":1014,\"./layout_attributes\":1016,\"./layout_defaults\":1017,\"./plot\":1018,\"./style\":1019}],1016:[function(t,e,r){\"use strict\";var n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1121}],1017:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":735,\"./layout_attributes\":1016}],1018:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/drawing\"),i=t(\"../../lib\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"../bar/plot\").toMoveInsideBar,l=t(\"../bar/uniform_text\"),c=l.recordMinTextSize,u=l.clearMinTextSize,h=t(\"../pie/helpers\"),f=t(\"../pie/plot\"),p=f.attachFxHandlers,d=f.determineInsideTextFont,g=f.layoutAreas,m=f.prerenderTitles,v=f.positionTitleOutside,y=f.formatSliceLabel;function 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=(t(\"../../constants/docs\").FORMAT_LINK,t(\"../../lib/extend\").extendFlat);e.exports=s({z:{valType:\"data_array\",editType:\"calc\"},x:s({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:s({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:s({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:s({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:s({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:s({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},zhoverformat:{valType:\"string\",dflt:\"\",editType:\"none\"},hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},{transforms:void 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n=t(\"../../lib/extend\").extendFlat,a=t(\"../../lib/extend\").extendDeep,i=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../components/color/attributes\"),l=t(\"../../plots/domain\").attributes,c=t(\"../../plots/cartesian/layout_attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../constants/delta.js\"),f=(t(\"../../constants/docs\").FORMAT_LINK,o({editType:\"plot\",colorEditType:\"plot\"})),p={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},d={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},g=u(\"step\",a({},p,{range:d}));e.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:l({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:n({},f,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:n({},f,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\"},increasing:{symbol:{valType:\"string\",dflt:h.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:h.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:n({},f,{}),editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:a({},p,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:i({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:\"outside\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,showexponent:c.showexponent,editType:\"plot\"},\"plot\"),steps:g,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:\"plot\"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}},{\"../../components/color/attributes\":601,\"../../constants/delta.js\":705,\"../../constants/docs\":706,\"../../lib/extend\":726,\"../../plot_api/edit_types\":766,\"../../plot_api/plot_template\":773,\"../../plots/cartesian/layout_attributes\":797,\"../../plots/domain\":810,\"../../plots/font_attributes\":811}],1070:[function(t,e,r){\"use 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0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}return p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",(function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}})).each(\"end\",(function(){g(),S&&S()})).each(\"interrupt\",(function(){g(),S&&S()})):g(),l=T(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",(function(){p(),S&&S()})).each(\"interrupt\",(function(){p(),S&&S()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}})):p(),o=T(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var O,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(O=k(f,\"deltaPos\",0,-1*(o.width*m[f.align]+l.width*(1-m[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+O,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(O=k(f,\"deltaPos\",0,o.width*(1-m[f.align])+l.width*m[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+O,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(O=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(O=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),I.attr({dx:O,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=k(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=k(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"}))}(t,L,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll(\"g.angular\").data(I?e:[]);q.exit().remove();var H=L.selectAll(\"g.angularaxis\").data(I?e:[]);H.exit().remove(),I&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,m=a.gaugeBg,v=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],T=a.gauge,k=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=(t-e)/(f.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",_(w[0],w[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},I={},z=u.makeLabelFns(s,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*z},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return O(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:k,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return O(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:k,transFn:c,labelFns:I})}var R=[m].concat(f.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(L).call(x),F.exit().remove();var B=C(f.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(x),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([v]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=L.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,_=h.domain,w=n.transitionOpts,T=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+v.l+\", \"+v.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=v.h,M=h.gauge.bar.thickness*k,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=v.t+v.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",(function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))})).attr(\"x\",(function(t){return a.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*k})).attr(\"height\",(function(t){return t.thickness*k}))}var C=[g].concat(h.gauge.steps),L=f.selectAll(\"g.bg-bullet\").data(C);L.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),L.select(\"rect\").call(E).call(x),L.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",(function(){T&&T()})).each(\"interrupt\",(function(){T&&T()})).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var I=r.filter((function(){return h.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(I);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*k).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*k).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var O=f.selectAll(\"g.gauge-outline\").data([m]);O.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),O.select(\"rect\").call(E).call(x),O.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",(function(){return z?g.right:g[C.title.align]})).text(C.title.text).call(s.font,C.title.font).call(c.convertToTspans,t),W.attr(\"transform\",(function(){var t,e=D.l+D.w*m[C.title.align],r=l.titlePadding,n=s.bBox(W.node());if(P){if(I)if(C.gauge.axis.visible)t=s.bBox(H.node()).top-r-n.bottom;else t=D.t+D.h/2-B/2-n.bottom-r;z&&(t=M-(n.top+n.bottom)/2,e=D.l-l.bulletPadding*D.w)}else t=C._numbersTop-r-n.bottom;return _(e,t)}))}))}},{\"../../components/color\":602,\"../../components/drawing\":624,\"../../constants/alignment\":704,\"../../lib\":735,\"../../lib/svg_text_utils\":759,\"../../plots/cartesian/axes\":783,\"../../plots/cartesian/axis_defaults\":785,\"../../plots/cartesian/layout_attributes\":797,\"../../plots/cartesian/position_defaults\":800,\"./constants\":1072,d3:165}],1076:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:i.opacity,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":609,\"../../lib/extend\":726,\"../../plot_api/edit_types\":766,\"../../plots/attributes\":780,\"../../plots/template_attributes\":861,\"../mesh3d/attributes\":1081}],1077:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),a=t(\"../streamtube/calc\").processGrid,i=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=i(e.x,e._len),e._y=i(e.y,e._len),e._z=i(e.z,e._len),e._value=i(e.value,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":610,\"../streamtube/calc\":1247}],1078:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),a=t(\"../../lib/gl_format_color\").parseColorScale,i=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),a=Math.max(e[r],e[r-1]);if(a>n&&n<t&&t<=a)return{id:r,distRatio:(a-t)/(a-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],a=this.data._meshZ[e],i=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(a,this.data._Zs).id,h=t.index=u+o*c+o*i*s;t.traceCoordinate=[this.data._meshX[h],this.data._meshY[h],this.data._meshZ[h],this.data._value[h]];var f=this.data.hovertext||this.data.text;return Array.isArray(f)&&void 0!==f[h]?t.textLabel=f[h]:f&&(t.textLabel=f),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=f(t);var 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t}));var r={},n={},a=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var i=0;i<t.length;i++){var o,s=t[i];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),a.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:a}}(t.values,e)}));f=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])}));var m,v=e.line;v?(a(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),m=s.tryColorscale(v)):m=l.identity;var y,x,b,_,w,T=r[0].values.length,k={},M=g.map((function(t){return t.inds}));for(d=0,y=0;y<T;y++){var A=[];for(x=0;x<M.length;x++)A.push(M[x][y]);p=f[y%f.length],d+=p;var S=(b=y,_=void 0,w=void 0,l.isArrayOrTypedArray(v.color)?w=_=v.color[b%v.color.length]:_=v.color,{color:m(_),rawColor:w}),E=A+\"-\"+S.rawColor;void 0===k[E]&&(k[E]=u(A,S.color,S.rawColor)),h(k[E],y,p)}var C,L=r.map((function(t,e){return function(t,e,r,n,a){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:a,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,d)}));for(y=0;y<T;y++)for(p=f[y%f.length],x=0;x<L.length;x++){var P=L[x].containerInd,I=g[x].inds[y],z=L[x].categories;if(void 0===z[I]){var O=e.dimensions[P]._categoryarray[I],D=e.dimensions[P]._ticktext[I];z[I]={dimensionInd:x,categoryInd:C=I,categoryValue:O,displayInd:C,categoryLabel:D,valueInds:[],count:0,dragY:null}}c(z[I],y,p)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(L,k,d))}},{\"../../components/colorscale/calc\":610,\"../../components/colorscale/helpers\":613,\"../../components/drawing\":624,\"../../lib\":735,\"../../lib/filter_unique.js\":727,\"../../lib/gup\":733}],1098:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,a){return n.coerce(t,e,l.dimensions,r,a)}var 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g={family:h.font.family,size:Math.round(h.font.size),color:h.font.color};n.coerceFont(f,\"labelfont\",g);var m={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};n.coerceFont(f,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":612,\"../../components/colorscale/helpers\":613,\"../../lib\":735,\"../../plots/array_container_defaults\":779,\"../../plots/domain\":810,\"../parcoords/merge_length\":1111,\"./attributes\":1095}],1099:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1095,\"./base_plot\":1096,\"./calc\":1097,\"./defaults\":1098,\"./plot\":1101}],1100:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plot_api/plot_api\"),i=t(\"../../components/fx\"),o=t(\"../../lib\"),s=t(\"../../components/drawing\"),l=t(\"tinycolor2\"),c=t(\"../../lib/svg_text_utils\");function u(t,e,r,a){var i=t.map(D.bind(0,e,r)),l=a.selectAll(\"g.parcatslayer\").data([null]);l.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=l.selectAll(\"g.trace.parcats\").data(i,h),m=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", \"+t.y+\")\"})),m.append(\"g\").attr(\"class\",\"paths\");var v=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);v.attr(\"fill\",(function(t){return t.model.color}));var b=v.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);x(b),v.attr(\"d\",(function(t){return t.svgD})),b.empty()||v.sort(p),v.exit().remove(),v.on(\"mouseover\",d).on(\"mouseout\",g).on(\"click\",y),m.append(\"g\").attr(\"class\",\"dimensions\");var T=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);T.enter().append(\"g\").attr(\"class\",\"dimension\"),T.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),T.exit().remove();var k=T.selectAll(\"g.category\").data((function(t){return t.categories}),h),M=k.enter().append(\"g\").attr(\"class\",\"category\");k.attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),k.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),_(M);var A=k.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);A.each((function(){o.raiseToTop(this)})),A.attr(\"fill\",(function(t){return t.color}));var I=A.enter().append(\"rect\").attr(\"class\",\"bandrect\").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})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),w(I),A.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;k.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",z+\" -1px  1px 2px, \"+z+\" 1px  1px 2px, \"+z+\"  1px -1px 2px, \"+z+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return f(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),k.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){s.font(n.select(this),t.parcatsViewModel.labelfont)})),k.selectAll(\"rect.bandrect\").on(\"mouseover\",S).on(\"mouseout\",E),k.exit().remove(),T.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",C).on(\"drag\",L).on(\"dragend\",P)),u.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\")})),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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_=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,T=l.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=I(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function v(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(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 b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function T(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 k(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){T(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=T(a),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},m=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&m.push([\"Count:\",g.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&m.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var v=m.join(\"<br>\");return{trace:u,x:r-t.left,y:h-t.top,text:v,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function S(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,a=r._fullLayout,s=a._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if(\"color\"===c?(!function(t){var e=n.select(t).datum(),r=T(e);b(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),M(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=T(t);b(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),k(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===c?e=A(s,this):\"color\"===c?e=function(t,e){var r,a,i=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=i.y+i.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=i.left,a=\"left\"):(r=i.left+i.width,a=\"right\");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach((function(t){t.color===o.color&&(g+=t.count)}));var m=s.model.count,v=0;c.pathSelection.each((function(t){t.model.color===o.color&&(v+=t.model.count)}));var y=g/d,x=g/v,b=g/m,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&w.push([\"Count:\",_.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(w.push(\"P(color \\u2229 \"+p+\"): \"+_.probabilityLabel),w.push(\"P(\"+p+\" | color): \"+x.toFixed(3)),w.push(\"P(color | \"+p+\"): \"+b.toFixed(3)));var T=w.join(\"<br>\"),k=l.mostReadable(o.color,[\"black\",\"white\"]);return{trace:h,x:r-t.left,y:f-t.top,text:T,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:k,fontSize:10,idealAlign:a,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:m,colorcount:v,bandcolorcount:g}]}}(s,this):\"dimension\"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){r.push(A(t,this))})),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):k(this,\"plotly_unhover\",n.event)}}function C(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],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function L(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}B(t.parcatsViewModel),F(t.parcatsViewModel),O(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=I(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 a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].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 c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):k(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,B(t.parcatsViewModel),F(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){O(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function I(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}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function O(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var a=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),r(a).attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),a.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),a.select(\".catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return f(t)?t.width+5:-5})).each((function(t){var e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var i=a.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);i.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})),w(s),i.each((function(){o.raiseToTop(this)})),i.exit().remove()}function D(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,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:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return a.dimensions&&(B(g),F(g)),g}function R(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+a)+\" \"+l[s]+\",\"+(e[s]+a)+\" \"+(t[s]+r[s])+\",\"+(e[s]+a),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function F(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),a=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),i=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})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return a[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),a=h(r);return\"backward\"===t.sortpaths&&(n.reverse(),a.reverse()),n.push(e.valueInds[0]),a.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),a.unshift(r.rawColor)),n<a?-1:n>a?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=a[b][_],T=i[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?R(s,x,l,m,.5):R(s,x,l,m,0),f[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function B(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(N(t,i))}t.dimensions=r}function N(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=m[c].categoryInd,o=e.categories[l],i=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:i,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+i+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{\"../../components/drawing\":624,\"../../components/fx\":642,\"../../lib\":735,\"../../lib/svg_text_utils\":759,\"../../plot_api/plot_api\":770,d3:165,tinycolor2:535}],1101:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,a){var i=t._fullLayout,o=i._paper,s=i._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,a)}},{\"./parcats\":1100}],1102:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.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:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.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:\"number\",editType:\"plot\"},{valType:\"number\",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\"}))}},{\"../../components/colorscale/attributes\":609,\"../../lib/extend\":726,\"../../plot_api/plot_template\":773,\"../../plots/cartesian/layout_attributes\":797,\"../../plots/domain\":810,\"../../plots/font_attributes\":811}],1103:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=m(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function m(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=m(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[i],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var v=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<v.length;r++){var x=[.25*v[Math.max(r-1,0)]+.75*v[r],.25*v[Math.min(r+1,v.length-1)]+.75*v[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function _(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.brush.svgBrush;i.wasDragged=!0,i._dragging=!0,i.grabbingBar?i.newExtent=[r-i.grabPoint,r+i.barLength-i.grabPoint].map(e.unitToPaddedPx.invert):i.newExtent=[i.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,i.extent=i.stayingIntervals.concat([i.newExtent]),i.brushCallback(e),x(t.parentNode)}function w(t,e){var r=b(e,e.height-a.mouse(t)[1]-2*n.verticalPadding),i=\"crosshair\";r.clickableOrdinalRange?i=\"pointer\":r.region&&(i=r.region+\"-resize\"),a.select(document.body).style(\"cursor\",i)}function T(t){t.on(\"mousemove\",(function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(a.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){_(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function k(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(k)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(T).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(k)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":735,\"../../lib/gup\":733,\"./constants\":1106,d3:165}],1104:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":712,\"../../plots/get_data\":820,\"./plot\":1113,d3:165}],1105:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":614,\"../../lib\":735,\"../../lib/gup\":733}],1106:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1107:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":612,\"../../components/colorscale/helpers\":613,\"../../lib\":735,\"../../plots/array_container_defaults\":779,\"../../plots/cartesian/axes\":783,\"../../plots/domain\":810,\"./attributes\":1102,\"./axisbrush\":1103,\"./constants\":1106,\"./merge_length\":1111}],1108:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":735}],1109:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1102,\"./base_plot\":1104,\"./calc\":1105,\"./defaults\":1107,\"./plot\":1113}],1110:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=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 sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\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(mask,\\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\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:a,i1:i,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:f,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),A=T.texture(u),S=[];C(e);var E=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.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\"},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:c({},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:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:a({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":601,\"../../lib/extend\":726,\"../../plots/attributes\":780,\"../../plots/domain\":810,\"../../plots/font_attributes\":811,\"../../plots/template_attributes\":861}],1115:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":846}],1116:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),i=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(m+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(m+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&i.sort((function(t,e){return e.v-t.v})),i[0]&&(i[0].vTotal=m),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":602,\"fast-isnumeric\":237,tinycolor2:535}],1117:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":735,\"../../plots/domain\":810,\"../bar/defaults\":880,\"./attributes\":1114,\"fast-isnumeric\":237}],1118:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.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,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}},{\"../../components/fx/helpers\":638}],1119:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.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}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":735}],1120:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1114,\"./base_plot\":1115,\"./calc\":1116,\"./defaults\":1117,\"./layout_attributes\":1121,\"./layout_defaults\":1122,\"./plot\":1123,\"./style\":1124,\"./style_one\":1125}],1121:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1122:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":735,\"./layout_attributes\":1121}],1123:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),m=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),m=c+t.pxmid[1]*(1-f),v=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,v),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,v),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:m,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))}))}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,a){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),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,T=0;T<g.length;T++){var k=g[T].scale;if(b<k&&(b=k,x=T),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:T(i,o/e),rotate:k(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:T(i,o/e),rotate:k(a+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=C(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function C(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 L(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 P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=C(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=C(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function I(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),v=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);m(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,v)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function O(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"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,c=\"px1\",u=\"px0\"}for(n=I(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=I(i,s),r.midangle=s,s+=l*r.v/2,n=I(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each((function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var m=[[[],[]],[[],[]]],x=!1;g.each((function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,m[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var T=p.hole;if(a.v===f.vTotal){var k=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+L(a.px0,a.pxmid,!0,1)+L(a.pxmid,a.px0,!0,1)+\"Z\";T?_.attr(\"d\",\"M\"+(o+T*a.px0[0])+\",\"+(u+T*a.px0[1])+L(a.px0,a.pxmid,!1,T)+L(a.pxmid,a.px0,!1,T)+\"Z\"+k):_.attr(\"d\",k)}else{var M=L(a.px0,a.px1,!0,1);if(T){var A=1-T;_.attr(\"d\",\"M\"+(o+T*a.px1[0])+\",\"+(u+T*a.px1[1])+L(a.px1,a.px0,!1,T)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),C=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),m=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m).call(c.convertToTspans,t);var v,_=s.bBox(g.node());if(\"outside\"===E)v=S(_,a);else if(v=b(_,a,f),\"auto\"===E&&v.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),v=S(_=s.bBox(g.node()),a)}var T=v.textPosAngle,k=void 0===T?a.pxmid:I(f.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=u+k[1]*v.rCenter+(v.y||0),O(v,_),v.outside){var M=v.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}v.fontSize=m.size,h(p.type,v,r),e[i].transform=v,g.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}}));var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")})),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),g=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-g;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-g-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),(f=u.cxFinal+i(u.px0[0],u.px1[0])+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=f)))}for(n=0;n<2;n++)for(a=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(m,p),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=\"M\"+i+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(i+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(g,p),x&&p.automargin){var w=s.bBox(u.node()),T=p.domain,k=i.w*(T.x[1]-T.x[0]),M=i.h*(T.y[1]-T.y[0]),A=(.5*k-f.r)/i.w,C=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+p.uid+\".automargin\",{xl:T.x[0]-A,xr:T.x[1]+A,yb:T.y[0]-C,yt:T.y[1]+C,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}}))}));setTimeout((function(){u.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:v,computeTransform:O}},{\"../../components/color\":602,\"../../components/drawing\":624,\"../../components/fx\":642,\"../../lib\":735,\"../../lib/svg_text_utils\":759,\"../../plots/plots\":846,\"../bar/constants\":878,\"../bar/uniform_text\":892,\"./event_data\":1118,\"./helpers\":1119,d3:165}],1124:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(a,t,e)}))}))}},{\"../bar/uniform_text\":892,\"./style_one\":1125,d3:165}],1125:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":602,\"./helpers\":1119}],1126:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1140}],1127:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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t.pointNumber})).nodes(y).links(x);var _,w,T,k=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.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 a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*m,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,a=0,i=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p}))}(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})),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=k.nodes));a.update(k)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:m,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?v:m,dragPerpendicular:f?m:v,arrangement:s.arrangement,sankey:a,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function x(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:b,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function b(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(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+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(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+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,i=t.link.target.x0,o=m(a,i),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"L\"+i+\",\"+f+\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+a+\",\"+u+\"Z\"}}function _(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,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(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,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:o.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,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function w(t){t.attr(\"transform\",(function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"}))}function T(t){t.call(w)}function k(t,e){t.call(T),e.attr(\"d\",b())}function M(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function A(t){return t.link.width>1||t.linkLineWidth>0}function S(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function E(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function C(t){return a.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function L(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function I(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function z(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),k(t.filter(B(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),k(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],a=0;a<t.graph.nodes.length;a++){var i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}v.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){u=!0}));var f=t._fullLayout._dragCover,m=r.filter((function(t){return g(t).trace.visible})).map(y.bind(null,l)),v=e.selectAll(\".\"+n.cn.sankey).data(m,p);v.exit().remove(),v.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",S),v.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),v.transition().ease(n.ease).duration(n.duration).attr(\"transform\",S);var T=v.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);T.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var k=T.selectAll(\".\"+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(x.bind(null,t))}),p);k.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(O,v,c.linkEvents),k.style(\"stroke\",(function(t){return A(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return A(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return A(t)?t.linkLineWidth:1})).attr(\"d\",b()),k.style(\"opacity\",(function(){return t._context.staticPlot||u||f?1:0})).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),k.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var R=v.selectAll(\".\"+n.cn.sankeyNodeSet).data(d,p);R.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),R.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=R.selectAll(\".\"+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(_.bind(null,t))}),p);F.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(w).style(\"opacity\",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(O,v,c.nodeEvents).call(D,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(w).style(\"opacity\",(function(t){return 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i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var m=\"projection.\"+d[g];h(m+\".show\")&&(h(m+\".opacity\"),h(m+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,f||p||r,{axis:\"z\"}),v(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":735,\"../../registry\":866,\"../scatter/line_defaults\":1153,\"../scatter/marker_defaults\":1159,\"../scatter/subtypes\":1164,\"../scatter/text_defaults\":1165,\"./attributes\":1167}],1172:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var v=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":735,\"../scatter/constants\":1144,\"../scatter/fillcolor_defaults\":1148,\"../scatter/line_defaults\":1153,\"../scatter/line_shape_defaults\":1155,\"../scatter/marker_defaults\":1159,\"../scatter/subtypes\":1164,\"../scatter/text_defaults\":1165,\"./attributes\":1173}],1176:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1177:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1178:[function(t,e,r){\"use 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n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":624,\"../../plots/cartesian/axes\":783,\"../scatter/plot\":1160}],1181:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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m=h(\"lon\")||[],v=h(\"lat\")||[];f=Math.min(m.length,v.length)}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),a.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":735,\"../scatter/fillcolor_defaults\":1148,\"../scatter/line_defaults\":1153,\"../scatter/marker_defaults\":1159,\"../scatter/subtypes\":1164,\"../scatter/text_defaults\":1165,\"./attributes\":1181}],1184:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1185:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i=\"all\"===a?s.hoverinfo.flags:a.split(\"+\"),l=-1!==i.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==i.indexOf(\"lon\"),u=-1!==i.indexOf(\"lat\"),h=-1!==i.indexOf(\"text\"),f=[];function p(t){return t+\"\\xb0\"}l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.lonLabel)+\", \"+p(r.latLabel)+\")\"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":642,\"../../constants/numerical\":711,\"../../lib\":735,\"../scatter/get_trace_color\":1150,\"./attributes\":1181}],1187:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"./constants\").DASHES,c=a.line,u=a.marker,h=u.line,f=e.exports=s({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:c.color,width:c.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:Object.keys(l),dflt:\"solid\"}},marker:o({},i(\"marker\"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},i(\"marker.line\"),{width:h.width})}),connectgaps:a.connectgaps,fill:o({},a.fill,{dflt:\"none\"}),fillcolor:a.fillcolor,selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\",f.hovertemplate=a.hovertemplate,f.texttemplate=a.texttemplate},{\"../../components/colorscale/attributes\":609,\"../../lib/extend\":726,\"../../plot_api/edit_types\":766,\"../../plots/attributes\":780,\"../scatter/attributes\":1140,\"./constants\":1193}],1192:[function(t,e,r){\"use 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n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(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]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),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,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,m=0,v=0;m<h;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-a.c2l(T),p[v+u[1]]=a.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":624,\"../../components/fx/helpers\":638,\"../../constants/interactions\":710,\"../../lib\":735,\"../../lib/gl_format_color\":732,\"../../plots/cartesian/axis_ids\":786,\"../../registry\":866,\"../scatter/make_bubble_size_func\":1157,\"../scatter/subtypes\":1164,\"./constants\":1193,\"./helpers\":1198,\"color-normalize\":122,\"fast-isnumeric\":237,\"svg-path-sdf\":533}],1195:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var m=!!t.marker&&i.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",m||v?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":735,\"../../registry\":866,\"../scatter/constants\":1144,\"../scatter/fillcolor_defaults\":1148,\"../scatter/line_defaults\":1153,\"../scatter/marker_defaults\":1159,\"../scatter/subtypes\":1164,\"../scatter/text_defaults\":1165,\"../scatter/xy_defaults\":1166,\"./attributes\":1191,\"./helpers\":1198}],1196:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(h.length||f.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;m.color[r]=y||(v?_:a.addOpacity(_,i))}}c.glText[u].update(m)}}},{\"../../components/color\":602,\"../../constants/interactions\":710,\"../../lib\":735}],1197:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1149}],1198:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1193}],1199:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(f.mgt=Array.isArray(m.type)?m.type[h]:m.type,f.mgc=Array.isArray(m.color)?m.color[h]:m.color);var v=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=a.extendFlat({},t,{color:i(o,f),x0:v-x,x1:v+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?k.text=f.htx:f.tx?k.text=f.tx:o.text&&(k.text=o.text),a.fillText(f,o,k),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,k),k}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);a=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else a=g.ids;var E=T;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=v.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":735,\"../../registry\":866,\"../scatter/get_trace_color\":1150}],1200:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":796,\"../scatter/cross_trace_defaults\":1146,\"../scatter/marker_colorbar\":1158,\"./attributes\":1191,\"./calc\":1192,\"./defaults\":1195,\"./format_labels\":1197,\"./hover\":1199,\"./plot\":1201,\"./select\":1203}],1201:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),h=t(\"../scatter/link_traces\"),f=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(_)),!0===v.line2d&&(v.line2d=a(_)),!0===v.scatter2d&&(v.scatter2d=n(_)),!0===v.fill2d&&(v.fill2d=a(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(T.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,P=L.index,I=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=L.xpx=new Array(I),N=L.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":620,\"../../lib\":735,\"../../lib/prepare_regl\":748,\"../scatter/link_traces\":1156,\"../scatter/subtypes\":1164,\"./edit_style\":1196,\"gl-text\":325,\"regl-error2d\":495,\"regl-line2d\":496,\"regl-scatter2d\":497}],1202:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":609,\"../../lib/extend\":726,\"../../plot_api/edit_types\":766,\"../../plots/attributes\":780,\"../../plots/mapbox/layout_attributes\":842,\"../../plots/template_attributes\":861,\"../scatter/attributes\":1140,\"../scattergeo/attributes\":1181}],1205:[function(t,e,r){\"use 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{\"../../plots/gl3d\":825,\"./attributes\":1246,\"./calc\":1247,\"./convert\":1248,\"./defaults\":1249}],1251:[function(t,e,r){\"use strict\";var 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n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").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 u=e.exports=l(s({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:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:s({},a.zauto,{}),zmin:s({},a.zmin,{}),zmax:s({},a.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");u.x.editType=u.y.editType=u.z.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/color\":602,\"../../components/colorscale/attributes\":609,\"../../lib/extend\":726,\"../../plot_api/edit_types\":766,\"../../plots/attributes\":780,\"../../plots/template_attributes\":861}],1264:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":610}],1265:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-homography\"),o=t(\"ndarray-fill\"),s=t(\"../../lib\").isArrayOrTypedArray,l=t(\"../../lib/gl_format_color\").parseColorScale,c=t(\"../../lib/str2rgbarray\"),u=t(\"../../components/colorscale\").extractOpts,h=t(\"../heatmap/interp2d\"),f=t(\"../heatmap/find_empties\");function p(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 d=p.prototype;d.getXat=function(t,e,r,n){var a=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},d.getYat=function(t,e,r,n){var a=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},d.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},d.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function v(t){for(var e=[],r=0;r<g.length;r++){var n=g[r];e.push(m(t,n))}return e}function y(t){for(var e=v(t),r=t,n=0;n<g.length;n++)if(e[n]>0){r=g[n];break}return r}function x(t,e){if(!(t<1||e<1)){for(var r=v(t),n=v(e),a=1,i=0;i<g.length;i++)a*=Math.pow(g[i],Math.max(r[i],n[i]));return a}}d.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},d.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var b=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],_=b[9],w=b[13];function T(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}d.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=x(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<_;)r*=2;for(;r>w;)r--,r/=y(r),++r<_&&(r=w);var n=Math.round(r/t);return n>1?n:1},d.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],o=t[0].shape[1],s=0|Math.floor(t[0].shape[0]*e+1),l=0|Math.floor(t[0].shape[1]*r+1),c=1+n+1,u=1+o+1,h=a(new Float32Array(c*u),[c,u]),f=0;f<t.length;++f){this.surface.padField(h,t[f]);var p=a(new Float32Array(s*l),[s,l]);i(p,h,[e,0,0,0,r,0,0,0,1]),t[f]=p}},d.setContourLevels=function(){var t,e,r,n=[[],[],[]],a=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(a[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],T(n[t],r);if(i){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=a[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},d.update=function(t){var e,r,n,i,s=this.scene,p=s.fullSceneLayout,d=this.surface,g=t.opacity,m=l(t,g),v=s.dataScale,y=t.z[0].length,x=t._ylength,b=s.contourLevels;this.data=t;var _=[];for(e=0;e<3;e++)for(_[e]=[],r=0;r<y;r++)_[e][r]=[];for(r=0;r<y;r++)for(n=0;n<x;n++)_[0][r][n]=this.getXat(r,n,t.xcalendar,p.xaxis),_[1][r][n]=this.getYat(r,n,t.ycalendar,p.yaxis),_[2][r][n]=this.getZat(r,n,t.zcalendar,p.zaxis);if(t.connectgaps)for(t._emptypoints=f(_[2]),h(_[2],t._emptypoints),t._interpolatedZ=[],r=0;r<y;r++)for(t._interpolatedZ[r]=[],n=0;n<x;n++)t._interpolatedZ[r][n]=_[2][r][n];for(e=0;e<3;e++)for(r=0;r<y;r++)for(n=0;n<x;n++)null==(i=_[e][r][n])?_[e][r][n]=NaN:i=_[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<y;r++)for(n=0;n<x;n++)null!=(i=_[e][r][n])&&(this.minValues[e]>i&&(this.minValues[e]=i),this.maxValues[e]<i&&(this.maxValues[e]=i));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<y;r++)for(n=0;n<x;n++)null!=(i=_[e][r][n])&&(_[e][r][n]-=this.objectOffset[e]);var T=[a(new Float32Array(y*x),[y,x]),a(new Float32Array(y*x),[y,x]),a(new Float32Array(y*x),[y,x])];o(T[0],(function(t,e){return _[0][t][e]})),o(T[1],(function(t,e){return _[1][t][e]})),o(T[2],(function(t,e){return _[2][t][e]})),_=[];var k={colormap:m,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},M=u(t);if(k.intensityBounds=[M.min,M.max],t.surfacecolor){var A=a(new Float32Array(y*x),[y,x]);o(A,(function(e,r){return t.surfacecolor[r][e]})),T.push(A)}else k.intensityBounds[0]*=v[2],k.intensityBounds[1]*=v[2];(w<T[0].shape[0]||w<T[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(T[0].shape[0],0),this.dataScaleY=this.estimateScale(T[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(T)),t.surfacecolor&&(k.intensity=T.pop());var S=[!0,!0,!0],E=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var C=t.contours[E[e]];S[e]=C.highlight,k.showContour[e]=C.show||C.highlight,k.showContour[e]&&(k.contourProject[e]=[C.project.x,C.project.y,C.project.z],C.show?(this.showContour[e]=!0,k.levels[e]=b[e],d.highlightColor[e]=k.contourColor[e]=c(C.color),C.usecolormap?d.highlightTint[e]=k.contourTint[e]=0:d.highlightTint[e]=k.contourTint[e]=1,k.contourWidth[e]=C.width,this.contourStart[e]=C.start,this.contourEnd[e]=C.end,this.contourSize[e]=C.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),C.highlight&&(k.dynamicColor[e]=c(C.highlightcolor),k.dynamicWidth[e]=C.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]})(m)&&(k.vertexColor=!0),k.objectOffset=this.objectOffset,k.coords=T,d.update(k),d.visible=t.visible,d.enableDynamic=S,d.enableHighlight=S,d.snapToData=!0,\"lighting\"in t&&(d.ambientLight=t.lighting.ambient,d.diffuseLight=t.lighting.diffuse,d.specularLight=t.lighting.specular,d.roughness=t.lighting.roughness,d.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(d.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),g&&g<1&&(d.supportsTransparency=!0)},d.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new p(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":614,\"../../lib\":735,\"../../lib/gl_format_color\":732,\"../../lib/str2rgbarray\":758,\"../heatmap/find_empties\":1026,\"../heatmap/interp2d\":1029,\"gl-surface3d\":324,ndarray:455,\"ndarray-fill\":445,\"ndarray-homography\":447}],1266:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var a=n(\"opacityscale\");\"max\"===a?e.opacityscale=[[0,.1],[1,1]]:\"min\"===a?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===a?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var a=n/31,i=e+(1-e)*(1-Math.pow(Math.sin(t*a*Math.PI),2));r.push([a,Math.max(0,Math.min(1,i))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(a)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,h;function f(r,n){return a.coerce(t,e,o,r,n)}var 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../../components/colorscale/attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../pie/attributes\"),l=t(\"../sunburst/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:u({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:l.marker.colors,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:l.marker.line,editType:\"calc\"},i(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:u({},s.textfont,{}),editType:\"calc\"},text:s.text,textinfo:l.textinfo,texttemplate:a({editType:\"plot\"},{keys:c.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top 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n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var g=d.width,m=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,C=-1!==E.textposition.indexOf(\"left\"),L=-1!==E.textposition.indexOf(\"right\"),P=-1!==E.textposition.indexOf(\"bottom\"),I=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,z=s(r,[g,m],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf(\"x\")>-1,flipY:E.tiling.flip.indexOf(\"y\")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),O=1/0,D=-1/0;z.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(O=Math.min(O,e),D=Math.max(D,e))})),p=p.data(z,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-O+1:0,p.enter().append(\"g\").classed(\"slice\",!0),T(p,!1,{},[g,m],x),p.order();var R=null;if(w&&A){var 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strict\";e.exports={attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../box/defaults\").crossTraceDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),crossTraceCalc:t(\"./cross_trace_calc\"),plot:t(\"./plot\"),style:t(\"./style\"),styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../box/select\"),moduleType:\"trace\",name:\"violin\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"violinLayout\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":796,\"../box/defaults\":904,\"../box/select\":911,\"../scatter/style\":1163,\"./attributes\":1290,\"./calc\":1291,\"./cross_trace_calc\":1292,\"./defaults\":1293,\"./hover\":1295,\"./layout_attributes\":1297,\"./layout_defaults\":1298,\"./plot\":1299,\"./style\":1300}],1297:[function(t,e,r){\"use strict\";var 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\"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Date\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Median % Change\"}}},\n",
2973 |        "                        {\"responsive\": true}\n",
2974 |        "                    ).then(function(){\n",
2975 |        "                            \n",
2976 |        "var gd = document.getElementById('08a78798-f5ee-487c-a8c6-8b32f1ca0c95');\n",
2977 |        "var x = new MutationObserver(function (mutations, observer) {{\n",
2978 |        "        var display = window.getComputedStyle(gd).display;\n",
2979 |        "        if (!display || display === 'none') {{\n",
2980 |        "            console.log([gd, 'removed!']);\n",
2981 |        "            Plotly.purge(gd);\n",
2982 |        "            observer.disconnect();\n",
2983 |        "        }}\n",
2984 |        "}});\n",
2985 |        "\n",
2986 |        "// Listen for the removal of the full notebook cells\n",
2987 |        "var notebookContainer = gd.closest('#notebook-container');\n",
2988 |        "if (notebookContainer) {{\n",
2989 |        "    x.observe(notebookContainer, {childList: true});\n",
2990 |        "}}\n",
2991 |        "\n",
2992 |        "// Listen for the clearing of the current output cell\n",
2993 |        "var outputEl = gd.closest('.output');\n",
2994 |        "if (outputEl) {{\n",
2995 |        "    x.observe(outputEl, {childList: true});\n",
2996 |        "}}\n",
2997 |        "\n",
2998 |        "                        })\n",
2999 |        "                };\n",
3000 |        "                });\n",
3001 |        "            </script>\n",
3002 |        "        </div>"
3003 |       ]
3004 |      },
3005 |      "metadata": {},
3006 |      "output_type": "display_data"
3007 |     }
3008 |    ],
3009 |    "source": [
3010 |     "# plotly \n",
3011 |     "df_long.rename(columns={\n",
3012 |     "    'value':'Median % Change',\n",
3013 |     "    'variable':'areas',\n",
3014 |     "    'date':'Date'\n",
3015 |     "}, inplace=True)\n",
3016 |     "fig = px.line(df_long, x='Date', y='Median % Change', color='areas')\n",
3017 |     "fig.update_layout(shapes=[\n",
3018 |     "    dict(\n",
3019 |     "      type= 'line',\n",
3020 |     "      yref= 'paper', y0= 0, y1= 1,\n",
3021 |     "      xref= 'x', x0= '2020-03-22', x1= '2020-03-22',\n",
3022 |     "      name ='test'\n",
3023 |     "    )\n",
3024 |     "])\n",
3025 |     "# Show plot \n",
3026 |     "fig.show()"
3027 |    ]
3028 |   },
3029 |   {
3030 |    "cell_type": "code",
3031 |    "execution_count": 10,
3032 |    "metadata": {},
3033 |    "outputs": [],
3034 |    "source": [
3035 |     "\n",
3036 |     "area_map_dict={\n",
3037 |     "    'retail_and_recreation_percent_change_from_baseline_median' :'Retail and Recreation',\n",
3038 |     " 'grocery_and_pharmacy_percent_change_from_baseline_median':'Grocery and Pharmacy',\n",
3039 |     " 'parks_percent_change_from_baseline_median':'Parks',\n",
3040 |     " 'transit_stations_percent_change_from_baseline_median':'Transit Station',\n",
3041 |     " 'workplaces_percent_change_from_baseline_median':'Workplaces',\n",
3042 |     " 'residential_percent_change_from_baseline_median':'Residential',\n",
3043 |     "    \n",
3044 |     "}"
3045 |    ]
3046 |   },
3047 |   {
3048 |    "cell_type": "code",
3049 |    "execution_count": 11,
3050 |    "metadata": {},
3051 |    "outputs": [],
3052 |    "source": [
3053 |     "%matplotlib inline"
3054 |    ]
3055 |   },
3056 |   {
3057 |    "cell_type": "code",
3058 |    "execution_count": 12,
3059 |    "metadata": {},
3060 |    "outputs": [],
3061 |    "source": [
3062 |     "import numpy as np\n",
3063 |     "import pandas as pd\n",
3064 |     "import seaborn as sns\n",
3065 |     "import matplotlib\n",
3066 |     "import matplotlib.pyplot as plt\n",
3067 |     "import matplotlib.animation as animation"
3068 |    ]
3069 |   },
3070 |   {
3071 |    "cell_type": "code",
3072 |    "execution_count": 13,
3073 |    "metadata": {},
3074 |    "outputs": [],
3075 |    "source": [
3076 |     "%matplotlib notebook\n",
3077 |     "Writer = animation.writers['ffmpeg']\n",
3078 |     "writer = Writer(fps=5, metadata=dict(artist='Me'), bitrate=1800)"
3079 |    ]
3080 |   },
3081 |   {
3082 |    "cell_type": "code",
3083 |    "execution_count": 14,
3084 |    "metadata": {},
3085 |    "outputs": [],
3086 |    "source": [
3087 |     "required_cols = [cols for cols in testdata.columns.tolist() if 'median' in cols]"
3088 |    ]
3089 |   },
3090 |   {
3091 |    "cell_type": "code",
3092 |    "execution_count": 17,
3093 |    "metadata": {},
3094 |    "outputs": [],
3095 |    "source": [
3096 |     "def create_plot(sample_data,title):\n",
3097 |     "    fig = plt.figure(figsize=(30,6))\n",
3098 |     "    plt.ylim(np.min(sample_data['columnvalue']), np.max(sample_data['columnvalue']))\n",
3099 |     "    plt.xlabel('Year',fontsize=20)\n",
3100 |     "    plt.ylabel('Percentage Change Compared to Median for a Pervious Period',fontsize=10)\n",
3101 |     "    title = '{title} From Google Mobility Analysis report'.format(title=title)\n",
3102 |     "    plt.title(title,fontsize=20)\n",
3103 |     "    ax = plt.axes()\n",
3104 |     "    txt = ax.text(0.1,0.9,'Day to/from lockdown =0', transform=ax.transAxes)\n",
3105 |     "    return plt,txt,fig,ax"
3106 |    ]
3107 |   },
3108 |   {
3109 |    "cell_type": "code",
3110 |    "execution_count": 18,
3111 |    "metadata": {},
3112 |    "outputs": [],
3113 |    "source": [
3114 |     "def animate(i,dataframe,plt,txt,ax):\n",
3115 |     "    data = dataframe.iloc[:int(i+1)]\n",
3116 |     "    p=sns.lineplot(x=data['date_'], y=data['columnvalue'], data=data, color='red')\n",
3117 |     "    p.tick_params(labelsize=17)\n",
3118 |     "    test=data['countofdays'][i]\n",
3119 |     "    txt.set_text('Day to/from lockdown={:d}'.format(int(test)))\n",
3120 |     "    plt.setp(ax.get_xticklabels(), rotation=80, horizontalalignment='right')\n",
3121 |     "    plt.tight_layout()\n",
3122 |     "    plt.xlabel('Date of Year',fontsize=10)\n",
3123 |     "    plt.ylabel('Median % Changes',fontsize=10)\n",
3124 |     "    return txt\n"
3125 |    ]
3126 |   },
3127 |   {
3128 |    "cell_type": "code",
3129 |    "execution_count": 15,
3130 |    "metadata": {},
3131 |    "outputs": [
3132 |     {
3133 |      "data": {
3134 |       "text/plain": [
3135 |        "['retail_and_recreation_percent_change_from_baseline_median',\n",
3136 |        " 'grocery_and_pharmacy_percent_change_from_baseline_median',\n",
3137 |        " 'parks_percent_change_from_baseline_median',\n",
3138 |        " 'transit_stations_percent_change_from_baseline_median',\n",
3139 |        " 'workplaces_percent_change_from_baseline_median',\n",
3140 |        " 'residential_percent_change_from_baseline_median']"
3141 |       ]
3142 |      },
3143 |      "execution_count": 15,
3144 |      "metadata": {},
3145 |      "output_type": "execute_result"
3146 |     }
3147 |    ],
3148 |    "source": [
3149 |     "required_cols"
3150 |    ]
3151 |   },
3152 |   {
3153 |    "cell_type": "code",
3154 |    "execution_count": 19,
3155 |    "metadata": {
3156 |     "scrolled": false
3157 |    },
3158 |    "outputs": [
3159 |     {
3160 |      "data": {
3161 |       "application/javascript": [
3162 |        "/* Put everything inside the global mpl namespace */\n",
3163 |        "window.mpl = {};\n",
3164 |        "\n",
3165 |        "\n",
3166 |        "mpl.get_websocket_type = function() {\n",
3167 |        "    if (typeof(WebSocket) !== 'undefined') {\n",
3168 |        "        return WebSocket;\n",
3169 |        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
3170 |        "        return MozWebSocket;\n",
3171 |        "    } else {\n",
3172 |        "        alert('Your browser does not have WebSocket support.' +\n",
3173 |        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
3174 |        "              'Firefox 4 and 5 are also supported but you ' +\n",
3175 |        "              'have to enable WebSockets in about:config.');\n",
3176 |        "    };\n",
3177 |        "}\n",
3178 |        "\n",
3179 |        "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
3180 |        "    this.id = figure_id;\n",
3181 |        "\n",
3182 |        "    this.ws = websocket;\n",
3183 |        "\n",
3184 |        "    this.supports_binary = (this.ws.binaryType != undefined);\n",
3185 |        "\n",
3186 |        "    if (!this.supports_binary) {\n",
3187 |        "        var warnings = document.getElementById(\"mpl-warnings\");\n",
3188 |        "        if (warnings) {\n",
3189 |        "            warnings.style.display = 'block';\n",
3190 |        "            warnings.textContent = (\n",
3191 |        "                \"This browser does not support binary websocket messages. \" +\n",
3192 |        "                    \"Performance may be slow.\");\n",
3193 |        "        }\n",
3194 |        "    }\n",
3195 |        "\n",
3196 |        "    this.imageObj = new Image();\n",
3197 |        "\n",
3198 |        "    this.context = undefined;\n",
3199 |        "    this.message = undefined;\n",
3200 |        "    this.canvas = undefined;\n",
3201 |        "    this.rubberband_canvas = undefined;\n",
3202 |        "    this.rubberband_context = undefined;\n",
3203 |        "    this.format_dropdown = undefined;\n",
3204 |        "\n",
3205 |        "    this.image_mode = 'full';\n",
3206 |        "\n",
3207 |        "    this.root = $('<div/>');\n",
3208 |        "    this._root_extra_style(this.root)\n",
3209 |        "    this.root.attr('style', 'display: inline-block');\n",
3210 |        "\n",
3211 |        "    $(parent_element).append(this.root);\n",
3212 |        "\n",
3213 |        "    this._init_header(this);\n",
3214 |        "    this._init_canvas(this);\n",
3215 |        "    this._init_toolbar(this);\n",
3216 |        "\n",
3217 |        "    var fig = this;\n",
3218 |        "\n",
3219 |        "    this.waiting = false;\n",
3220 |        "\n",
3221 |        "    this.ws.onopen =  function () {\n",
3222 |        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
3223 |        "            fig.send_message(\"send_image_mode\", {});\n",
3224 |        "            if (mpl.ratio != 1) {\n",
3225 |        "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
3226 |        "            }\n",
3227 |        "            fig.send_message(\"refresh\", {});\n",
3228 |        "        }\n",
3229 |        "\n",
3230 |        "    this.imageObj.onload = function() {\n",
3231 |        "            if (fig.image_mode == 'full') {\n",
3232 |        "                // Full images could contain transparency (where diff images\n",
3233 |        "                // almost always do), so we need to clear the canvas so that\n",
3234 |        "                // there is no ghosting.\n",
3235 |        "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
3236 |        "            }\n",
3237 |        "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
3238 |        "        };\n",
3239 |        "\n",
3240 |        "    this.imageObj.onunload = function() {\n",
3241 |        "        fig.ws.close();\n",
3242 |        "    }\n",
3243 |        "\n",
3244 |        "    this.ws.onmessage = this._make_on_message_function(this);\n",
3245 |        "\n",
3246 |        "    this.ondownload = ondownload;\n",
3247 |        "}\n",
3248 |        "\n",
3249 |        "mpl.figure.prototype._init_header = function() {\n",
3250 |        "    var titlebar = $(\n",
3251 |        "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
3252 |        "        'ui-helper-clearfix\"/>');\n",
3253 |        "    var titletext = $(\n",
3254 |        "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
3255 |        "        'text-align: center; padding: 3px;\"/>');\n",
3256 |        "    titlebar.append(titletext)\n",
3257 |        "    this.root.append(titlebar);\n",
3258 |        "    this.header = titletext[0];\n",
3259 |        "}\n",
3260 |        "\n",
3261 |        "\n",
3262 |        "\n",
3263 |        "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
3264 |        "\n",
3265 |        "}\n",
3266 |        "\n",
3267 |        "\n",
3268 |        "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
3269 |        "\n",
3270 |        "}\n",
3271 |        "\n",
3272 |        "mpl.figure.prototype._init_canvas = function() {\n",
3273 |        "    var fig = this;\n",
3274 |        "\n",
3275 |        "    var canvas_div = $('<div/>');\n",
3276 |        "\n",
3277 |        "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
3278 |        "\n",
3279 |        "    function canvas_keyboard_event(event) {\n",
3280 |        "        return fig.key_event(event, event['data']);\n",
3281 |        "    }\n",
3282 |        "\n",
3283 |        "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
3284 |        "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
3285 |        "    this.canvas_div = canvas_div\n",
3286 |        "    this._canvas_extra_style(canvas_div)\n",
3287 |        "    this.root.append(canvas_div);\n",
3288 |        "\n",
3289 |        "    var canvas = $('<canvas/>');\n",
3290 |        "    canvas.addClass('mpl-canvas');\n",
3291 |        "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
3292 |        "\n",
3293 |        "    this.canvas = canvas[0];\n",
3294 |        "    this.context = canvas[0].getContext(\"2d\");\n",
3295 |        "\n",
3296 |        "    var backingStore = this.context.backingStorePixelRatio ||\n",
3297 |        "\tthis.context.webkitBackingStorePixelRatio ||\n",
3298 |        "\tthis.context.mozBackingStorePixelRatio ||\n",
3299 |        "\tthis.context.msBackingStorePixelRatio ||\n",
3300 |        "\tthis.context.oBackingStorePixelRatio ||\n",
3301 |        "\tthis.context.backingStorePixelRatio || 1;\n",
3302 |        "\n",
3303 |        "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
3304 |        "\n",
3305 |        "    var rubberband = $('<canvas/>');\n",
3306 |        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
3307 |        "\n",
3308 |        "    var pass_mouse_events = true;\n",
3309 |        "\n",
3310 |        "    canvas_div.resizable({\n",
3311 |        "        start: function(event, ui) {\n",
3312 |        "            pass_mouse_events = false;\n",
3313 |        "        },\n",
3314 |        "        resize: function(event, ui) {\n",
3315 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
3316 |        "        },\n",
3317 |        "        stop: function(event, ui) {\n",
3318 |        "            pass_mouse_events = true;\n",
3319 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
3320 |        "        },\n",
3321 |        "    });\n",
3322 |        "\n",
3323 |        "    function mouse_event_fn(event) {\n",
3324 |        "        if (pass_mouse_events)\n",
3325 |        "            return fig.mouse_event(event, event['data']);\n",
3326 |        "    }\n",
3327 |        "\n",
3328 |        "    rubberband.mousedown('button_press', mouse_event_fn);\n",
3329 |        "    rubberband.mouseup('button_release', mouse_event_fn);\n",
3330 |        "    // Throttle sequential mouse events to 1 every 20ms.\n",
3331 |        "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
3332 |        "\n",
3333 |        "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
3334 |        "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
3335 |        "\n",
3336 |        "    canvas_div.on(\"wheel\", function (event) {\n",
3337 |        "        event = event.originalEvent;\n",
3338 |        "        event['data'] = 'scroll'\n",
3339 |        "        if (event.deltaY < 0) {\n",
3340 |        "            event.step = 1;\n",
3341 |        "        } else {\n",
3342 |        "            event.step = -1;\n",
3343 |        "        }\n",
3344 |        "        mouse_event_fn(event);\n",
3345 |        "    });\n",
3346 |        "\n",
3347 |        "    canvas_div.append(canvas);\n",
3348 |        "    canvas_div.append(rubberband);\n",
3349 |        "\n",
3350 |        "    this.rubberband = rubberband;\n",
3351 |        "    this.rubberband_canvas = rubberband[0];\n",
3352 |        "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
3353 |        "    this.rubberband_context.strokeStyle = \"#000000\";\n",
3354 |        "\n",
3355 |        "    this._resize_canvas = function(width, height) {\n",
3356 |        "        // Keep the size of the canvas, canvas container, and rubber band\n",
3357 |        "        // canvas in synch.\n",
3358 |        "        canvas_div.css('width', width)\n",
3359 |        "        canvas_div.css('height', height)\n",
3360 |        "\n",
3361 |        "        canvas.attr('width', width * mpl.ratio);\n",
3362 |        "        canvas.attr('height', height * mpl.ratio);\n",
3363 |        "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
3364 |        "\n",
3365 |        "        rubberband.attr('width', width);\n",
3366 |        "        rubberband.attr('height', height);\n",
3367 |        "    }\n",
3368 |        "\n",
3369 |        "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
3370 |        "    // upon first draw.\n",
3371 |        "    this._resize_canvas(600, 600);\n",
3372 |        "\n",
3373 |        "    // Disable right mouse context menu.\n",
3374 |        "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
3375 |        "        return false;\n",
3376 |        "    });\n",
3377 |        "\n",
3378 |        "    function set_focus () {\n",
3379 |        "        canvas.focus();\n",
3380 |        "        canvas_div.focus();\n",
3381 |        "    }\n",
3382 |        "\n",
3383 |        "    window.setTimeout(set_focus, 100);\n",
3384 |        "}\n",
3385 |        "\n",
3386 |        "mpl.figure.prototype._init_toolbar = function() {\n",
3387 |        "    var fig = this;\n",
3388 |        "\n",
3389 |        "    var nav_element = $('<div/>')\n",
3390 |        "    nav_element.attr('style', 'width: 100%');\n",
3391 |        "    this.root.append(nav_element);\n",
3392 |        "\n",
3393 |        "    // Define a callback function for later on.\n",
3394 |        "    function toolbar_event(event) {\n",
3395 |        "        return fig.toolbar_button_onclick(event['data']);\n",
3396 |        "    }\n",
3397 |        "    function toolbar_mouse_event(event) {\n",
3398 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
3399 |        "    }\n",
3400 |        "\n",
3401 |        "    for(var toolbar_ind in mpl.toolbar_items) {\n",
3402 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
3403 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
3404 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
3405 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
3406 |        "\n",
3407 |        "        if (!name) {\n",
3408 |        "            // put a spacer in here.\n",
3409 |        "            continue;\n",
3410 |        "        }\n",
3411 |        "        var button = $('<button/>');\n",
3412 |        "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
3413 |        "                        'ui-button-icon-only');\n",
3414 |        "        button.attr('role', 'button');\n",
3415 |        "        button.attr('aria-disabled', 'false');\n",
3416 |        "        button.click(method_name, toolbar_event);\n",
3417 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
3418 |        "\n",
3419 |        "        var icon_img = $('<span/>');\n",
3420 |        "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
3421 |        "        icon_img.addClass(image);\n",
3422 |        "        icon_img.addClass('ui-corner-all');\n",
3423 |        "\n",
3424 |        "        var tooltip_span = $('<span/>');\n",
3425 |        "        tooltip_span.addClass('ui-button-text');\n",
3426 |        "        tooltip_span.html(tooltip);\n",
3427 |        "\n",
3428 |        "        button.append(icon_img);\n",
3429 |        "        button.append(tooltip_span);\n",
3430 |        "\n",
3431 |        "        nav_element.append(button);\n",
3432 |        "    }\n",
3433 |        "\n",
3434 |        "    var fmt_picker_span = $('<span/>');\n",
3435 |        "\n",
3436 |        "    var fmt_picker = $('<select/>');\n",
3437 |        "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
3438 |        "    fmt_picker_span.append(fmt_picker);\n",
3439 |        "    nav_element.append(fmt_picker_span);\n",
3440 |        "    this.format_dropdown = fmt_picker[0];\n",
3441 |        "\n",
3442 |        "    for (var ind in mpl.extensions) {\n",
3443 |        "        var fmt = mpl.extensions[ind];\n",
3444 |        "        var option = $(\n",
3445 |        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
3446 |        "        fmt_picker.append(option)\n",
3447 |        "    }\n",
3448 |        "\n",
3449 |        "    // Add hover states to the ui-buttons\n",
3450 |        "    $( \".ui-button\" ).hover(\n",
3451 |        "        function() { $(this).addClass(\"ui-state-hover\");},\n",
3452 |        "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
3453 |        "    );\n",
3454 |        "\n",
3455 |        "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
3456 |        "    nav_element.append(status_bar);\n",
3457 |        "    this.message = status_bar[0];\n",
3458 |        "}\n",
3459 |        "\n",
3460 |        "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
3461 |        "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
3462 |        "    // which will in turn request a refresh of the image.\n",
3463 |        "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
3464 |        "}\n",
3465 |        "\n",
3466 |        "mpl.figure.prototype.send_message = function(type, properties) {\n",
3467 |        "    properties['type'] = type;\n",
3468 |        "    properties['figure_id'] = this.id;\n",
3469 |        "    this.ws.send(JSON.stringify(properties));\n",
3470 |        "}\n",
3471 |        "\n",
3472 |        "mpl.figure.prototype.send_draw_message = function() {\n",
3473 |        "    if (!this.waiting) {\n",
3474 |        "        this.waiting = true;\n",
3475 |        "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
3476 |        "    }\n",
3477 |        "}\n",
3478 |        "\n",
3479 |        "\n",
3480 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
3481 |        "    var format_dropdown = fig.format_dropdown;\n",
3482 |        "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
3483 |        "    fig.ondownload(fig, format);\n",
3484 |        "}\n",
3485 |        "\n",
3486 |        "\n",
3487 |        "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
3488 |        "    var size = msg['size'];\n",
3489 |        "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
3490 |        "        fig._resize_canvas(size[0], size[1]);\n",
3491 |        "        fig.send_message(\"refresh\", {});\n",
3492 |        "    };\n",
3493 |        "}\n",
3494 |        "\n",
3495 |        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
3496 |        "    var x0 = msg['x0'] / mpl.ratio;\n",
3497 |        "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
3498 |        "    var x1 = msg['x1'] / mpl.ratio;\n",
3499 |        "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
3500 |        "    x0 = Math.floor(x0) + 0.5;\n",
3501 |        "    y0 = Math.floor(y0) + 0.5;\n",
3502 |        "    x1 = Math.floor(x1) + 0.5;\n",
3503 |        "    y1 = Math.floor(y1) + 0.5;\n",
3504 |        "    var min_x = Math.min(x0, x1);\n",
3505 |        "    var min_y = Math.min(y0, y1);\n",
3506 |        "    var width = Math.abs(x1 - x0);\n",
3507 |        "    var height = Math.abs(y1 - y0);\n",
3508 |        "\n",
3509 |        "    fig.rubberband_context.clearRect(\n",
3510 |        "        0, 0, fig.canvas.width, fig.canvas.height);\n",
3511 |        "\n",
3512 |        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
3513 |        "}\n",
3514 |        "\n",
3515 |        "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
3516 |        "    // Updates the figure title.\n",
3517 |        "    fig.header.textContent = msg['label'];\n",
3518 |        "}\n",
3519 |        "\n",
3520 |        "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
3521 |        "    var cursor = msg['cursor'];\n",
3522 |        "    switch(cursor)\n",
3523 |        "    {\n",
3524 |        "    case 0:\n",
3525 |        "        cursor = 'pointer';\n",
3526 |        "        break;\n",
3527 |        "    case 1:\n",
3528 |        "        cursor = 'default';\n",
3529 |        "        break;\n",
3530 |        "    case 2:\n",
3531 |        "        cursor = 'crosshair';\n",
3532 |        "        break;\n",
3533 |        "    case 3:\n",
3534 |        "        cursor = 'move';\n",
3535 |        "        break;\n",
3536 |        "    }\n",
3537 |        "    fig.rubberband_canvas.style.cursor = cursor;\n",
3538 |        "}\n",
3539 |        "\n",
3540 |        "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
3541 |        "    fig.message.textContent = msg['message'];\n",
3542 |        "}\n",
3543 |        "\n",
3544 |        "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
3545 |        "    // Request the server to send over a new figure.\n",
3546 |        "    fig.send_draw_message();\n",
3547 |        "}\n",
3548 |        "\n",
3549 |        "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
3550 |        "    fig.image_mode = msg['mode'];\n",
3551 |        "}\n",
3552 |        "\n",
3553 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
3554 |        "    // Called whenever the canvas gets updated.\n",
3555 |        "    this.send_message(\"ack\", {});\n",
3556 |        "}\n",
3557 |        "\n",
3558 |        "// A function to construct a web socket function for onmessage handling.\n",
3559 |        "// Called in the figure constructor.\n",
3560 |        "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
3561 |        "    return function socket_on_message(evt) {\n",
3562 |        "        if (evt.data instanceof Blob) {\n",
3563 |        "            /* FIXME: We get \"Resource interpreted as Image but\n",
3564 |        "             * transferred with MIME type text/plain:\" errors on\n",
3565 |        "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
3566 |        "             * to be part of the websocket stream */\n",
3567 |        "            evt.data.type = \"image/png\";\n",
3568 |        "\n",
3569 |        "            /* Free the memory for the previous frames */\n",
3570 |        "            if (fig.imageObj.src) {\n",
3571 |        "                (window.URL || window.webkitURL).revokeObjectURL(\n",
3572 |        "                    fig.imageObj.src);\n",
3573 |        "            }\n",
3574 |        "\n",
3575 |        "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
3576 |        "                evt.data);\n",
3577 |        "            fig.updated_canvas_event();\n",
3578 |        "            fig.waiting = false;\n",
3579 |        "            return;\n",
3580 |        "        }\n",
3581 |        "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
3582 |        "            fig.imageObj.src = evt.data;\n",
3583 |        "            fig.updated_canvas_event();\n",
3584 |        "            fig.waiting = false;\n",
3585 |        "            return;\n",
3586 |        "        }\n",
3587 |        "\n",
3588 |        "        var msg = JSON.parse(evt.data);\n",
3589 |        "        var msg_type = msg['type'];\n",
3590 |        "\n",
3591 |        "        // Call the  \"handle_{type}\" callback, which takes\n",
3592 |        "        // the figure and JSON message as its only arguments.\n",
3593 |        "        try {\n",
3594 |        "            var callback = fig[\"handle_\" + msg_type];\n",
3595 |        "        } catch (e) {\n",
3596 |        "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
3597 |        "            return;\n",
3598 |        "        }\n",
3599 |        "\n",
3600 |        "        if (callback) {\n",
3601 |        "            try {\n",
3602 |        "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
3603 |        "                callback(fig, msg);\n",
3604 |        "            } catch (e) {\n",
3605 |        "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
3606 |        "            }\n",
3607 |        "        }\n",
3608 |        "    };\n",
3609 |        "}\n",
3610 |        "\n",
3611 |        "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
3612 |        "mpl.findpos = function(e) {\n",
3613 |        "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
3614 |        "    var targ;\n",
3615 |        "    if (!e)\n",
3616 |        "        e = window.event;\n",
3617 |        "    if (e.target)\n",
3618 |        "        targ = e.target;\n",
3619 |        "    else if (e.srcElement)\n",
3620 |        "        targ = e.srcElement;\n",
3621 |        "    if (targ.nodeType == 3) // defeat Safari bug\n",
3622 |        "        targ = targ.parentNode;\n",
3623 |        "\n",
3624 |        "    // jQuery normalizes the pageX and pageY\n",
3625 |        "    // pageX,Y are the mouse positions relative to the document\n",
3626 |        "    // offset() returns the position of the element relative to the document\n",
3627 |        "    var x = e.pageX - $(targ).offset().left;\n",
3628 |        "    var y = e.pageY - $(targ).offset().top;\n",
3629 |        "\n",
3630 |        "    return {\"x\": x, \"y\": y};\n",
3631 |        "};\n",
3632 |        "\n",
3633 |        "/*\n",
3634 |        " * return a copy of an object with only non-object keys\n",
3635 |        " * we need this to avoid circular references\n",
3636 |        " * http://stackoverflow.com/a/24161582/3208463\n",
3637 |        " */\n",
3638 |        "function simpleKeys (original) {\n",
3639 |        "  return Object.keys(original).reduce(function (obj, key) {\n",
3640 |        "    if (typeof original[key] !== 'object')\n",
3641 |        "        obj[key] = original[key]\n",
3642 |        "    return obj;\n",
3643 |        "  }, {});\n",
3644 |        "}\n",
3645 |        "\n",
3646 |        "mpl.figure.prototype.mouse_event = function(event, name) {\n",
3647 |        "    var canvas_pos = mpl.findpos(event)\n",
3648 |        "\n",
3649 |        "    if (name === 'button_press')\n",
3650 |        "    {\n",
3651 |        "        this.canvas.focus();\n",
3652 |        "        this.canvas_div.focus();\n",
3653 |        "    }\n",
3654 |        "\n",
3655 |        "    var x = canvas_pos.x * mpl.ratio;\n",
3656 |        "    var y = canvas_pos.y * mpl.ratio;\n",
3657 |        "\n",
3658 |        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
3659 |        "                             step: event.step,\n",
3660 |        "                             guiEvent: simpleKeys(event)});\n",
3661 |        "\n",
3662 |        "    /* This prevents the web browser from automatically changing to\n",
3663 |        "     * the text insertion cursor when the button is pressed.  We want\n",
3664 |        "     * to control all of the cursor setting manually through the\n",
3665 |        "     * 'cursor' event from matplotlib */\n",
3666 |        "    event.preventDefault();\n",
3667 |        "    return false;\n",
3668 |        "}\n",
3669 |        "\n",
3670 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
3671 |        "    // Handle any extra behaviour associated with a key event\n",
3672 |        "}\n",
3673 |        "\n",
3674 |        "mpl.figure.prototype.key_event = function(event, name) {\n",
3675 |        "\n",
3676 |        "    // Prevent repeat events\n",
3677 |        "    if (name == 'key_press')\n",
3678 |        "    {\n",
3679 |        "        if (event.which === this._key)\n",
3680 |        "            return;\n",
3681 |        "        else\n",
3682 |        "            this._key = event.which;\n",
3683 |        "    }\n",
3684 |        "    if (name == 'key_release')\n",
3685 |        "        this._key = null;\n",
3686 |        "\n",
3687 |        "    var value = '';\n",
3688 |        "    if (event.ctrlKey && event.which != 17)\n",
3689 |        "        value += \"ctrl+\";\n",
3690 |        "    if (event.altKey && event.which != 18)\n",
3691 |        "        value += \"alt+\";\n",
3692 |        "    if (event.shiftKey && event.which != 16)\n",
3693 |        "        value += \"shift+\";\n",
3694 |        "\n",
3695 |        "    value += 'k';\n",
3696 |        "    value += event.which.toString();\n",
3697 |        "\n",
3698 |        "    this._key_event_extra(event, name);\n",
3699 |        "\n",
3700 |        "    this.send_message(name, {key: value,\n",
3701 |        "                             guiEvent: simpleKeys(event)});\n",
3702 |        "    return false;\n",
3703 |        "}\n",
3704 |        "\n",
3705 |        "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
3706 |        "    if (name == 'download') {\n",
3707 |        "        this.handle_save(this, null);\n",
3708 |        "    } else {\n",
3709 |        "        this.send_message(\"toolbar_button\", {name: name});\n",
3710 |        "    }\n",
3711 |        "};\n",
3712 |        "\n",
3713 |        "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
3714 |        "    this.message.textContent = tooltip;\n",
3715 |        "};\n",
3716 |        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
3717 |        "\n",
3718 |        "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
3719 |        "\n",
3720 |        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
3721 |        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
3722 |        "    // object with the appropriate methods. Currently this is a non binary\n",
3723 |        "    // socket, so there is still some room for performance tuning.\n",
3724 |        "    var ws = {};\n",
3725 |        "\n",
3726 |        "    ws.close = function() {\n",
3727 |        "        comm.close()\n",
3728 |        "    };\n",
3729 |        "    ws.send = function(m) {\n",
3730 |        "        //console.log('sending', m);\n",
3731 |        "        comm.send(m);\n",
3732 |        "    };\n",
3733 |        "    // Register the callback with on_msg.\n",
3734 |        "    comm.on_msg(function(msg) {\n",
3735 |        "        //console.log('receiving', msg['content']['data'], msg);\n",
3736 |        "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
3737 |        "        ws.onmessage(msg['content']['data'])\n",
3738 |        "    });\n",
3739 |        "    return ws;\n",
3740 |        "}\n",
3741 |        "\n",
3742 |        "mpl.mpl_figure_comm = function(comm, msg) {\n",
3743 |        "    // This is the function which gets called when the mpl process\n",
3744 |        "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
3745 |        "\n",
3746 |        "    var id = msg.content.data.id;\n",
3747 |        "    // Get hold of the div created by the display call when the Comm\n",
3748 |        "    // socket was opened in Python.\n",
3749 |        "    var element = $(\"#\" + id);\n",
3750 |        "    var ws_proxy = comm_websocket_adapter(comm)\n",
3751 |        "\n",
3752 |        "    function ondownload(figure, format) {\n",
3753 |        "        window.open(figure.imageObj.src);\n",
3754 |        "    }\n",
3755 |        "\n",
3756 |        "    var fig = new mpl.figure(id, ws_proxy,\n",
3757 |        "                           ondownload,\n",
3758 |        "                           element.get(0));\n",
3759 |        "\n",
3760 |        "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
3761 |        "    // web socket which is closed, not our websocket->open comm proxy.\n",
3762 |        "    ws_proxy.onopen();\n",
3763 |        "\n",
3764 |        "    fig.parent_element = element.get(0);\n",
3765 |        "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
3766 |        "    if (!fig.cell_info) {\n",
3767 |        "        console.error(\"Failed to find cell for figure\", id, fig);\n",
3768 |        "        return;\n",
3769 |        "    }\n",
3770 |        "\n",
3771 |        "    var output_index = fig.cell_info[2]\n",
3772 |        "    var cell = fig.cell_info[0];\n",
3773 |        "\n",
3774 |        "};\n",
3775 |        "\n",
3776 |        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
3777 |        "    var width = fig.canvas.width/mpl.ratio\n",
3778 |        "    fig.root.unbind('remove')\n",
3779 |        "\n",
3780 |        "    // Update the output cell to use the data from the current canvas.\n",
3781 |        "    fig.push_to_output();\n",
3782 |        "    var dataURL = fig.canvas.toDataURL();\n",
3783 |        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
3784 |        "    // the notebook keyboard shortcuts fail.\n",
3785 |        "    IPython.keyboard_manager.enable()\n",
3786 |        "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
3787 |        "    fig.close_ws(fig, msg);\n",
3788 |        "}\n",
3789 |        "\n",
3790 |        "mpl.figure.prototype.close_ws = function(fig, msg){\n",
3791 |        "    fig.send_message('closing', msg);\n",
3792 |        "    // fig.ws.close()\n",
3793 |        "}\n",
3794 |        "\n",
3795 |        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
3796 |        "    // Turn the data on the canvas into data in the output cell.\n",
3797 |        "    var width = this.canvas.width/mpl.ratio\n",
3798 |        "    var dataURL = this.canvas.toDataURL();\n",
3799 |        "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
3800 |        "}\n",
3801 |        "\n",
3802 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
3803 |        "    // Tell IPython that the notebook contents must change.\n",
3804 |        "    IPython.notebook.set_dirty(true);\n",
3805 |        "    this.send_message(\"ack\", {});\n",
3806 |        "    var fig = this;\n",
3807 |        "    // Wait a second, then push the new image to the DOM so\n",
3808 |        "    // that it is saved nicely (might be nice to debounce this).\n",
3809 |        "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
3810 |        "}\n",
3811 |        "\n",
3812 |        "mpl.figure.prototype._init_toolbar = function() {\n",
3813 |        "    var fig = this;\n",
3814 |        "\n",
3815 |        "    var nav_element = $('<div/>')\n",
3816 |        "    nav_element.attr('style', 'width: 100%');\n",
3817 |        "    this.root.append(nav_element);\n",
3818 |        "\n",
3819 |        "    // Define a callback function for later on.\n",
3820 |        "    function toolbar_event(event) {\n",
3821 |        "        return fig.toolbar_button_onclick(event['data']);\n",
3822 |        "    }\n",
3823 |        "    function toolbar_mouse_event(event) {\n",
3824 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
3825 |        "    }\n",
3826 |        "\n",
3827 |        "    for(var toolbar_ind in mpl.toolbar_items){\n",
3828 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
3829 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
3830 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
3831 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
3832 |        "\n",
3833 |        "        if (!name) { continue; };\n",
3834 |        "\n",
3835 |        "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
3836 |        "        button.click(method_name, toolbar_event);\n",
3837 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
3838 |        "        nav_element.append(button);\n",
3839 |        "    }\n",
3840 |        "\n",
3841 |        "    // Add the status bar.\n",
3842 |        "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
3843 |        "    nav_element.append(status_bar);\n",
3844 |        "    this.message = status_bar[0];\n",
3845 |        "\n",
3846 |        "    // Add the close button to the window.\n",
3847 |        "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
3848 |        "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
3849 |        "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
3850 |        "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
3851 |        "    buttongrp.append(button);\n",
3852 |        "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
3853 |        "    titlebar.prepend(buttongrp);\n",
3854 |        "}\n",
3855 |        "\n",
3856 |        "mpl.figure.prototype._root_extra_style = function(el){\n",
3857 |        "    var fig = this\n",
3858 |        "    el.on(\"remove\", function(){\n",
3859 |        "\tfig.close_ws(fig, {});\n",
3860 |        "    });\n",
3861 |        "}\n",
3862 |        "\n",
3863 |        "mpl.figure.prototype._canvas_extra_style = function(el){\n",
3864 |        "    // this is important to make the div 'focusable\n",
3865 |        "    el.attr('tabindex', 0)\n",
3866 |        "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
3867 |        "    // off when our div gets focus\n",
3868 |        "\n",
3869 |        "    // location in version 3\n",
3870 |        "    if (IPython.notebook.keyboard_manager) {\n",
3871 |        "        IPython.notebook.keyboard_manager.register_events(el);\n",
3872 |        "    }\n",
3873 |        "    else {\n",
3874 |        "        // location in version 2\n",
3875 |        "        IPython.keyboard_manager.register_events(el);\n",
3876 |        "    }\n",
3877 |        "\n",
3878 |        "}\n",
3879 |        "\n",
3880 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
3881 |        "    var manager = IPython.notebook.keyboard_manager;\n",
3882 |        "    if (!manager)\n",
3883 |        "        manager = IPython.keyboard_manager;\n",
3884 |        "\n",
3885 |        "    // Check for shift+enter\n",
3886 |        "    if (event.shiftKey && event.which == 13) {\n",
3887 |        "        this.canvas_div.blur();\n",
3888 |        "        event.shiftKey = false;\n",
3889 |        "        // Send a \"J\" for go to next cell\n",
3890 |        "        event.which = 74;\n",
3891 |        "        event.keyCode = 74;\n",
3892 |        "        manager.command_mode();\n",
3893 |        "        manager.handle_keydown(event);\n",
3894 |        "    }\n",
3895 |        "}\n",
3896 |        "\n",
3897 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
3898 |        "    fig.ondownload(fig, null);\n",
3899 |        "}\n",
3900 |        "\n",
3901 |        "\n",
3902 |        "mpl.find_output_cell = function(html_output) {\n",
3903 |        "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
3904 |        "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
3905 |        "    // IPython event is triggered only after the cells have been serialised, which for\n",
3906 |        "    // our purposes (turning an active figure into a static one), is too late.\n",
3907 |        "    var cells = IPython.notebook.get_cells();\n",
3908 |        "    var ncells = cells.length;\n",
3909 |        "    for (var i=0; i<ncells; i++) {\n",
3910 |        "        var cell = cells[i];\n",
3911 |        "        if (cell.cell_type === 'code'){\n",
3912 |        "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
3913 |        "                var data = cell.output_area.outputs[j];\n",
3914 |        "                if (data.data) {\n",
3915 |        "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
3916 |        "                    data = data.data;\n",
3917 |        "                }\n",
3918 |        "                if (data['text/html'] == html_output) {\n",
3919 |        "                    return [cell, data, j];\n",
3920 |        "                }\n",
3921 |        "            }\n",
3922 |        "        }\n",
3923 |        "    }\n",
3924 |        "}\n",
3925 |        "\n",
3926 |        "// Register the function which deals with the matplotlib target/channel.\n",
3927 |        "// The kernel may be null if the page has been refreshed.\n",
3928 |        "if (IPython.notebook.kernel != null) {\n",
3929 |        "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
3930 |        "}\n"
3931 |       ],
3932 |       "text/plain": [
3933 |        "<IPython.core.display.Javascript object>"
3934 |       ]
3935 |      },
3936 |      "metadata": {},
3937 |      "output_type": "display_data"
3938 |     },
3939 |     {
3940 |      "data": {
3941 |       "text/html": [
3942 |        "<img 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\" width=\"2160\">"
3943 |       ],
3944 |       "text/plain": [
3945 |        "<IPython.core.display.HTML object>"
3946 |       ]
3947 |      },
3948 |      "metadata": {},
3949 |      "output_type": "display_data"
3950 |     },
3951 |     {
3952 |      "name": "stderr",
3953 |      "output_type": "stream",
3954 |      "text": [
3955 |       "/anaconda3/lib/python3.7/site-packages/matplotlib/figure.py:98: MatplotlibDeprecationWarning: \n",
3956 |       "Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n",
3957 |       "  \"Adding an axes using the same arguments as a previous axes \"\n",
3958 |       "/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py:4238: SettingWithCopyWarning: \n",
3959 |       "A value is trying to be set on a copy of a slice from a DataFrame\n",
3960 |       "\n",
3961 |       "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
3962 |       "  return super().rename(**kwargs)\n"
3963 |      ]
3964 |     },
3965 |     {
3966 |      "data": {
3967 |       "application/javascript": [
3968 |        "/* Put everything inside the global mpl namespace */\n",
3969 |        "window.mpl = {};\n",
3970 |        "\n",
3971 |        "\n",
3972 |        "mpl.get_websocket_type = function() {\n",
3973 |        "    if (typeof(WebSocket) !== 'undefined') {\n",
3974 |        "        return WebSocket;\n",
3975 |        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
3976 |        "        return MozWebSocket;\n",
3977 |        "    } else {\n",
3978 |        "        alert('Your browser does not have WebSocket support.' +\n",
3979 |        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
3980 |        "              'Firefox 4 and 5 are also supported but you ' +\n",
3981 |        "              'have to enable WebSockets in about:config.');\n",
3982 |        "    };\n",
3983 |        "}\n",
3984 |        "\n",
3985 |        "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
3986 |        "    this.id = figure_id;\n",
3987 |        "\n",
3988 |        "    this.ws = websocket;\n",
3989 |        "\n",
3990 |        "    this.supports_binary = (this.ws.binaryType != undefined);\n",
3991 |        "\n",
3992 |        "    if (!this.supports_binary) {\n",
3993 |        "        var warnings = document.getElementById(\"mpl-warnings\");\n",
3994 |        "        if (warnings) {\n",
3995 |        "            warnings.style.display = 'block';\n",
3996 |        "            warnings.textContent = (\n",
3997 |        "                \"This browser does not support binary websocket messages. \" +\n",
3998 |        "                    \"Performance may be slow.\");\n",
3999 |        "        }\n",
4000 |        "    }\n",
4001 |        "\n",
4002 |        "    this.imageObj = new Image();\n",
4003 |        "\n",
4004 |        "    this.context = undefined;\n",
4005 |        "    this.message = undefined;\n",
4006 |        "    this.canvas = undefined;\n",
4007 |        "    this.rubberband_canvas = undefined;\n",
4008 |        "    this.rubberband_context = undefined;\n",
4009 |        "    this.format_dropdown = undefined;\n",
4010 |        "\n",
4011 |        "    this.image_mode = 'full';\n",
4012 |        "\n",
4013 |        "    this.root = $('<div/>');\n",
4014 |        "    this._root_extra_style(this.root)\n",
4015 |        "    this.root.attr('style', 'display: inline-block');\n",
4016 |        "\n",
4017 |        "    $(parent_element).append(this.root);\n",
4018 |        "\n",
4019 |        "    this._init_header(this);\n",
4020 |        "    this._init_canvas(this);\n",
4021 |        "    this._init_toolbar(this);\n",
4022 |        "\n",
4023 |        "    var fig = this;\n",
4024 |        "\n",
4025 |        "    this.waiting = false;\n",
4026 |        "\n",
4027 |        "    this.ws.onopen =  function () {\n",
4028 |        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
4029 |        "            fig.send_message(\"send_image_mode\", {});\n",
4030 |        "            if (mpl.ratio != 1) {\n",
4031 |        "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
4032 |        "            }\n",
4033 |        "            fig.send_message(\"refresh\", {});\n",
4034 |        "        }\n",
4035 |        "\n",
4036 |        "    this.imageObj.onload = function() {\n",
4037 |        "            if (fig.image_mode == 'full') {\n",
4038 |        "                // Full images could contain transparency (where diff images\n",
4039 |        "                // almost always do), so we need to clear the canvas so that\n",
4040 |        "                // there is no ghosting.\n",
4041 |        "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
4042 |        "            }\n",
4043 |        "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
4044 |        "        };\n",
4045 |        "\n",
4046 |        "    this.imageObj.onunload = function() {\n",
4047 |        "        fig.ws.close();\n",
4048 |        "    }\n",
4049 |        "\n",
4050 |        "    this.ws.onmessage = this._make_on_message_function(this);\n",
4051 |        "\n",
4052 |        "    this.ondownload = ondownload;\n",
4053 |        "}\n",
4054 |        "\n",
4055 |        "mpl.figure.prototype._init_header = function() {\n",
4056 |        "    var titlebar = $(\n",
4057 |        "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
4058 |        "        'ui-helper-clearfix\"/>');\n",
4059 |        "    var titletext = $(\n",
4060 |        "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
4061 |        "        'text-align: center; padding: 3px;\"/>');\n",
4062 |        "    titlebar.append(titletext)\n",
4063 |        "    this.root.append(titlebar);\n",
4064 |        "    this.header = titletext[0];\n",
4065 |        "}\n",
4066 |        "\n",
4067 |        "\n",
4068 |        "\n",
4069 |        "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
4070 |        "\n",
4071 |        "}\n",
4072 |        "\n",
4073 |        "\n",
4074 |        "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
4075 |        "\n",
4076 |        "}\n",
4077 |        "\n",
4078 |        "mpl.figure.prototype._init_canvas = function() {\n",
4079 |        "    var fig = this;\n",
4080 |        "\n",
4081 |        "    var canvas_div = $('<div/>');\n",
4082 |        "\n",
4083 |        "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
4084 |        "\n",
4085 |        "    function canvas_keyboard_event(event) {\n",
4086 |        "        return fig.key_event(event, event['data']);\n",
4087 |        "    }\n",
4088 |        "\n",
4089 |        "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
4090 |        "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
4091 |        "    this.canvas_div = canvas_div\n",
4092 |        "    this._canvas_extra_style(canvas_div)\n",
4093 |        "    this.root.append(canvas_div);\n",
4094 |        "\n",
4095 |        "    var canvas = $('<canvas/>');\n",
4096 |        "    canvas.addClass('mpl-canvas');\n",
4097 |        "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
4098 |        "\n",
4099 |        "    this.canvas = canvas[0];\n",
4100 |        "    this.context = canvas[0].getContext(\"2d\");\n",
4101 |        "\n",
4102 |        "    var backingStore = this.context.backingStorePixelRatio ||\n",
4103 |        "\tthis.context.webkitBackingStorePixelRatio ||\n",
4104 |        "\tthis.context.mozBackingStorePixelRatio ||\n",
4105 |        "\tthis.context.msBackingStorePixelRatio ||\n",
4106 |        "\tthis.context.oBackingStorePixelRatio ||\n",
4107 |        "\tthis.context.backingStorePixelRatio || 1;\n",
4108 |        "\n",
4109 |        "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
4110 |        "\n",
4111 |        "    var rubberband = $('<canvas/>');\n",
4112 |        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
4113 |        "\n",
4114 |        "    var pass_mouse_events = true;\n",
4115 |        "\n",
4116 |        "    canvas_div.resizable({\n",
4117 |        "        start: function(event, ui) {\n",
4118 |        "            pass_mouse_events = false;\n",
4119 |        "        },\n",
4120 |        "        resize: function(event, ui) {\n",
4121 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
4122 |        "        },\n",
4123 |        "        stop: function(event, ui) {\n",
4124 |        "            pass_mouse_events = true;\n",
4125 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
4126 |        "        },\n",
4127 |        "    });\n",
4128 |        "\n",
4129 |        "    function mouse_event_fn(event) {\n",
4130 |        "        if (pass_mouse_events)\n",
4131 |        "            return fig.mouse_event(event, event['data']);\n",
4132 |        "    }\n",
4133 |        "\n",
4134 |        "    rubberband.mousedown('button_press', mouse_event_fn);\n",
4135 |        "    rubberband.mouseup('button_release', mouse_event_fn);\n",
4136 |        "    // Throttle sequential mouse events to 1 every 20ms.\n",
4137 |        "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
4138 |        "\n",
4139 |        "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
4140 |        "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
4141 |        "\n",
4142 |        "    canvas_div.on(\"wheel\", function (event) {\n",
4143 |        "        event = event.originalEvent;\n",
4144 |        "        event['data'] = 'scroll'\n",
4145 |        "        if (event.deltaY < 0) {\n",
4146 |        "            event.step = 1;\n",
4147 |        "        } else {\n",
4148 |        "            event.step = -1;\n",
4149 |        "        }\n",
4150 |        "        mouse_event_fn(event);\n",
4151 |        "    });\n",
4152 |        "\n",
4153 |        "    canvas_div.append(canvas);\n",
4154 |        "    canvas_div.append(rubberband);\n",
4155 |        "\n",
4156 |        "    this.rubberband = rubberband;\n",
4157 |        "    this.rubberband_canvas = rubberband[0];\n",
4158 |        "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
4159 |        "    this.rubberband_context.strokeStyle = \"#000000\";\n",
4160 |        "\n",
4161 |        "    this._resize_canvas = function(width, height) {\n",
4162 |        "        // Keep the size of the canvas, canvas container, and rubber band\n",
4163 |        "        // canvas in synch.\n",
4164 |        "        canvas_div.css('width', width)\n",
4165 |        "        canvas_div.css('height', height)\n",
4166 |        "\n",
4167 |        "        canvas.attr('width', width * mpl.ratio);\n",
4168 |        "        canvas.attr('height', height * mpl.ratio);\n",
4169 |        "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
4170 |        "\n",
4171 |        "        rubberband.attr('width', width);\n",
4172 |        "        rubberband.attr('height', height);\n",
4173 |        "    }\n",
4174 |        "\n",
4175 |        "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
4176 |        "    // upon first draw.\n",
4177 |        "    this._resize_canvas(600, 600);\n",
4178 |        "\n",
4179 |        "    // Disable right mouse context menu.\n",
4180 |        "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
4181 |        "        return false;\n",
4182 |        "    });\n",
4183 |        "\n",
4184 |        "    function set_focus () {\n",
4185 |        "        canvas.focus();\n",
4186 |        "        canvas_div.focus();\n",
4187 |        "    }\n",
4188 |        "\n",
4189 |        "    window.setTimeout(set_focus, 100);\n",
4190 |        "}\n",
4191 |        "\n",
4192 |        "mpl.figure.prototype._init_toolbar = function() {\n",
4193 |        "    var fig = this;\n",
4194 |        "\n",
4195 |        "    var nav_element = $('<div/>')\n",
4196 |        "    nav_element.attr('style', 'width: 100%');\n",
4197 |        "    this.root.append(nav_element);\n",
4198 |        "\n",
4199 |        "    // Define a callback function for later on.\n",
4200 |        "    function toolbar_event(event) {\n",
4201 |        "        return fig.toolbar_button_onclick(event['data']);\n",
4202 |        "    }\n",
4203 |        "    function toolbar_mouse_event(event) {\n",
4204 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
4205 |        "    }\n",
4206 |        "\n",
4207 |        "    for(var toolbar_ind in mpl.toolbar_items) {\n",
4208 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
4209 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
4210 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
4211 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
4212 |        "\n",
4213 |        "        if (!name) {\n",
4214 |        "            // put a spacer in here.\n",
4215 |        "            continue;\n",
4216 |        "        }\n",
4217 |        "        var button = $('<button/>');\n",
4218 |        "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
4219 |        "                        'ui-button-icon-only');\n",
4220 |        "        button.attr('role', 'button');\n",
4221 |        "        button.attr('aria-disabled', 'false');\n",
4222 |        "        button.click(method_name, toolbar_event);\n",
4223 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
4224 |        "\n",
4225 |        "        var icon_img = $('<span/>');\n",
4226 |        "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
4227 |        "        icon_img.addClass(image);\n",
4228 |        "        icon_img.addClass('ui-corner-all');\n",
4229 |        "\n",
4230 |        "        var tooltip_span = $('<span/>');\n",
4231 |        "        tooltip_span.addClass('ui-button-text');\n",
4232 |        "        tooltip_span.html(tooltip);\n",
4233 |        "\n",
4234 |        "        button.append(icon_img);\n",
4235 |        "        button.append(tooltip_span);\n",
4236 |        "\n",
4237 |        "        nav_element.append(button);\n",
4238 |        "    }\n",
4239 |        "\n",
4240 |        "    var fmt_picker_span = $('<span/>');\n",
4241 |        "\n",
4242 |        "    var fmt_picker = $('<select/>');\n",
4243 |        "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
4244 |        "    fmt_picker_span.append(fmt_picker);\n",
4245 |        "    nav_element.append(fmt_picker_span);\n",
4246 |        "    this.format_dropdown = fmt_picker[0];\n",
4247 |        "\n",
4248 |        "    for (var ind in mpl.extensions) {\n",
4249 |        "        var fmt = mpl.extensions[ind];\n",
4250 |        "        var option = $(\n",
4251 |        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
4252 |        "        fmt_picker.append(option)\n",
4253 |        "    }\n",
4254 |        "\n",
4255 |        "    // Add hover states to the ui-buttons\n",
4256 |        "    $( \".ui-button\" ).hover(\n",
4257 |        "        function() { $(this).addClass(\"ui-state-hover\");},\n",
4258 |        "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
4259 |        "    );\n",
4260 |        "\n",
4261 |        "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
4262 |        "    nav_element.append(status_bar);\n",
4263 |        "    this.message = status_bar[0];\n",
4264 |        "}\n",
4265 |        "\n",
4266 |        "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
4267 |        "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
4268 |        "    // which will in turn request a refresh of the image.\n",
4269 |        "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
4270 |        "}\n",
4271 |        "\n",
4272 |        "mpl.figure.prototype.send_message = function(type, properties) {\n",
4273 |        "    properties['type'] = type;\n",
4274 |        "    properties['figure_id'] = this.id;\n",
4275 |        "    this.ws.send(JSON.stringify(properties));\n",
4276 |        "}\n",
4277 |        "\n",
4278 |        "mpl.figure.prototype.send_draw_message = function() {\n",
4279 |        "    if (!this.waiting) {\n",
4280 |        "        this.waiting = true;\n",
4281 |        "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
4282 |        "    }\n",
4283 |        "}\n",
4284 |        "\n",
4285 |        "\n",
4286 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
4287 |        "    var format_dropdown = fig.format_dropdown;\n",
4288 |        "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
4289 |        "    fig.ondownload(fig, format);\n",
4290 |        "}\n",
4291 |        "\n",
4292 |        "\n",
4293 |        "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
4294 |        "    var size = msg['size'];\n",
4295 |        "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
4296 |        "        fig._resize_canvas(size[0], size[1]);\n",
4297 |        "        fig.send_message(\"refresh\", {});\n",
4298 |        "    };\n",
4299 |        "}\n",
4300 |        "\n",
4301 |        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
4302 |        "    var x0 = msg['x0'] / mpl.ratio;\n",
4303 |        "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
4304 |        "    var x1 = msg['x1'] / mpl.ratio;\n",
4305 |        "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
4306 |        "    x0 = Math.floor(x0) + 0.5;\n",
4307 |        "    y0 = Math.floor(y0) + 0.5;\n",
4308 |        "    x1 = Math.floor(x1) + 0.5;\n",
4309 |        "    y1 = Math.floor(y1) + 0.5;\n",
4310 |        "    var min_x = Math.min(x0, x1);\n",
4311 |        "    var min_y = Math.min(y0, y1);\n",
4312 |        "    var width = Math.abs(x1 - x0);\n",
4313 |        "    var height = Math.abs(y1 - y0);\n",
4314 |        "\n",
4315 |        "    fig.rubberband_context.clearRect(\n",
4316 |        "        0, 0, fig.canvas.width, fig.canvas.height);\n",
4317 |        "\n",
4318 |        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
4319 |        "}\n",
4320 |        "\n",
4321 |        "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
4322 |        "    // Updates the figure title.\n",
4323 |        "    fig.header.textContent = msg['label'];\n",
4324 |        "}\n",
4325 |        "\n",
4326 |        "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
4327 |        "    var cursor = msg['cursor'];\n",
4328 |        "    switch(cursor)\n",
4329 |        "    {\n",
4330 |        "    case 0:\n",
4331 |        "        cursor = 'pointer';\n",
4332 |        "        break;\n",
4333 |        "    case 1:\n",
4334 |        "        cursor = 'default';\n",
4335 |        "        break;\n",
4336 |        "    case 2:\n",
4337 |        "        cursor = 'crosshair';\n",
4338 |        "        break;\n",
4339 |        "    case 3:\n",
4340 |        "        cursor = 'move';\n",
4341 |        "        break;\n",
4342 |        "    }\n",
4343 |        "    fig.rubberband_canvas.style.cursor = cursor;\n",
4344 |        "}\n",
4345 |        "\n",
4346 |        "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
4347 |        "    fig.message.textContent = msg['message'];\n",
4348 |        "}\n",
4349 |        "\n",
4350 |        "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
4351 |        "    // Request the server to send over a new figure.\n",
4352 |        "    fig.send_draw_message();\n",
4353 |        "}\n",
4354 |        "\n",
4355 |        "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
4356 |        "    fig.image_mode = msg['mode'];\n",
4357 |        "}\n",
4358 |        "\n",
4359 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
4360 |        "    // Called whenever the canvas gets updated.\n",
4361 |        "    this.send_message(\"ack\", {});\n",
4362 |        "}\n",
4363 |        "\n",
4364 |        "// A function to construct a web socket function for onmessage handling.\n",
4365 |        "// Called in the figure constructor.\n",
4366 |        "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
4367 |        "    return function socket_on_message(evt) {\n",
4368 |        "        if (evt.data instanceof Blob) {\n",
4369 |        "            /* FIXME: We get \"Resource interpreted as Image but\n",
4370 |        "             * transferred with MIME type text/plain:\" errors on\n",
4371 |        "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
4372 |        "             * to be part of the websocket stream */\n",
4373 |        "            evt.data.type = \"image/png\";\n",
4374 |        "\n",
4375 |        "            /* Free the memory for the previous frames */\n",
4376 |        "            if (fig.imageObj.src) {\n",
4377 |        "                (window.URL || window.webkitURL).revokeObjectURL(\n",
4378 |        "                    fig.imageObj.src);\n",
4379 |        "            }\n",
4380 |        "\n",
4381 |        "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
4382 |        "                evt.data);\n",
4383 |        "            fig.updated_canvas_event();\n",
4384 |        "            fig.waiting = false;\n",
4385 |        "            return;\n",
4386 |        "        }\n",
4387 |        "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
4388 |        "            fig.imageObj.src = evt.data;\n",
4389 |        "            fig.updated_canvas_event();\n",
4390 |        "            fig.waiting = false;\n",
4391 |        "            return;\n",
4392 |        "        }\n",
4393 |        "\n",
4394 |        "        var msg = JSON.parse(evt.data);\n",
4395 |        "        var msg_type = msg['type'];\n",
4396 |        "\n",
4397 |        "        // Call the  \"handle_{type}\" callback, which takes\n",
4398 |        "        // the figure and JSON message as its only arguments.\n",
4399 |        "        try {\n",
4400 |        "            var callback = fig[\"handle_\" + msg_type];\n",
4401 |        "        } catch (e) {\n",
4402 |        "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
4403 |        "            return;\n",
4404 |        "        }\n",
4405 |        "\n",
4406 |        "        if (callback) {\n",
4407 |        "            try {\n",
4408 |        "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
4409 |        "                callback(fig, msg);\n",
4410 |        "            } catch (e) {\n",
4411 |        "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
4412 |        "            }\n",
4413 |        "        }\n",
4414 |        "    };\n",
4415 |        "}\n",
4416 |        "\n",
4417 |        "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
4418 |        "mpl.findpos = function(e) {\n",
4419 |        "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
4420 |        "    var targ;\n",
4421 |        "    if (!e)\n",
4422 |        "        e = window.event;\n",
4423 |        "    if (e.target)\n",
4424 |        "        targ = e.target;\n",
4425 |        "    else if (e.srcElement)\n",
4426 |        "        targ = e.srcElement;\n",
4427 |        "    if (targ.nodeType == 3) // defeat Safari bug\n",
4428 |        "        targ = targ.parentNode;\n",
4429 |        "\n",
4430 |        "    // jQuery normalizes the pageX and pageY\n",
4431 |        "    // pageX,Y are the mouse positions relative to the document\n",
4432 |        "    // offset() returns the position of the element relative to the document\n",
4433 |        "    var x = e.pageX - $(targ).offset().left;\n",
4434 |        "    var y = e.pageY - $(targ).offset().top;\n",
4435 |        "\n",
4436 |        "    return {\"x\": x, \"y\": y};\n",
4437 |        "};\n",
4438 |        "\n",
4439 |        "/*\n",
4440 |        " * return a copy of an object with only non-object keys\n",
4441 |        " * we need this to avoid circular references\n",
4442 |        " * http://stackoverflow.com/a/24161582/3208463\n",
4443 |        " */\n",
4444 |        "function simpleKeys (original) {\n",
4445 |        "  return Object.keys(original).reduce(function (obj, key) {\n",
4446 |        "    if (typeof original[key] !== 'object')\n",
4447 |        "        obj[key] = original[key]\n",
4448 |        "    return obj;\n",
4449 |        "  }, {});\n",
4450 |        "}\n",
4451 |        "\n",
4452 |        "mpl.figure.prototype.mouse_event = function(event, name) {\n",
4453 |        "    var canvas_pos = mpl.findpos(event)\n",
4454 |        "\n",
4455 |        "    if (name === 'button_press')\n",
4456 |        "    {\n",
4457 |        "        this.canvas.focus();\n",
4458 |        "        this.canvas_div.focus();\n",
4459 |        "    }\n",
4460 |        "\n",
4461 |        "    var x = canvas_pos.x * mpl.ratio;\n",
4462 |        "    var y = canvas_pos.y * mpl.ratio;\n",
4463 |        "\n",
4464 |        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
4465 |        "                             step: event.step,\n",
4466 |        "                             guiEvent: simpleKeys(event)});\n",
4467 |        "\n",
4468 |        "    /* This prevents the web browser from automatically changing to\n",
4469 |        "     * the text insertion cursor when the button is pressed.  We want\n",
4470 |        "     * to control all of the cursor setting manually through the\n",
4471 |        "     * 'cursor' event from matplotlib */\n",
4472 |        "    event.preventDefault();\n",
4473 |        "    return false;\n",
4474 |        "}\n",
4475 |        "\n",
4476 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
4477 |        "    // Handle any extra behaviour associated with a key event\n",
4478 |        "}\n",
4479 |        "\n",
4480 |        "mpl.figure.prototype.key_event = function(event, name) {\n",
4481 |        "\n",
4482 |        "    // Prevent repeat events\n",
4483 |        "    if (name == 'key_press')\n",
4484 |        "    {\n",
4485 |        "        if (event.which === this._key)\n",
4486 |        "            return;\n",
4487 |        "        else\n",
4488 |        "            this._key = event.which;\n",
4489 |        "    }\n",
4490 |        "    if (name == 'key_release')\n",
4491 |        "        this._key = null;\n",
4492 |        "\n",
4493 |        "    var value = '';\n",
4494 |        "    if (event.ctrlKey && event.which != 17)\n",
4495 |        "        value += \"ctrl+\";\n",
4496 |        "    if (event.altKey && event.which != 18)\n",
4497 |        "        value += \"alt+\";\n",
4498 |        "    if (event.shiftKey && event.which != 16)\n",
4499 |        "        value += \"shift+\";\n",
4500 |        "\n",
4501 |        "    value += 'k';\n",
4502 |        "    value += event.which.toString();\n",
4503 |        "\n",
4504 |        "    this._key_event_extra(event, name);\n",
4505 |        "\n",
4506 |        "    this.send_message(name, {key: value,\n",
4507 |        "                             guiEvent: simpleKeys(event)});\n",
4508 |        "    return false;\n",
4509 |        "}\n",
4510 |        "\n",
4511 |        "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
4512 |        "    if (name == 'download') {\n",
4513 |        "        this.handle_save(this, null);\n",
4514 |        "    } else {\n",
4515 |        "        this.send_message(\"toolbar_button\", {name: name});\n",
4516 |        "    }\n",
4517 |        "};\n",
4518 |        "\n",
4519 |        "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
4520 |        "    this.message.textContent = tooltip;\n",
4521 |        "};\n",
4522 |        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
4523 |        "\n",
4524 |        "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
4525 |        "\n",
4526 |        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
4527 |        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
4528 |        "    // object with the appropriate methods. Currently this is a non binary\n",
4529 |        "    // socket, so there is still some room for performance tuning.\n",
4530 |        "    var ws = {};\n",
4531 |        "\n",
4532 |        "    ws.close = function() {\n",
4533 |        "        comm.close()\n",
4534 |        "    };\n",
4535 |        "    ws.send = function(m) {\n",
4536 |        "        //console.log('sending', m);\n",
4537 |        "        comm.send(m);\n",
4538 |        "    };\n",
4539 |        "    // Register the callback with on_msg.\n",
4540 |        "    comm.on_msg(function(msg) {\n",
4541 |        "        //console.log('receiving', msg['content']['data'], msg);\n",
4542 |        "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
4543 |        "        ws.onmessage(msg['content']['data'])\n",
4544 |        "    });\n",
4545 |        "    return ws;\n",
4546 |        "}\n",
4547 |        "\n",
4548 |        "mpl.mpl_figure_comm = function(comm, msg) {\n",
4549 |        "    // This is the function which gets called when the mpl process\n",
4550 |        "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
4551 |        "\n",
4552 |        "    var id = msg.content.data.id;\n",
4553 |        "    // Get hold of the div created by the display call when the Comm\n",
4554 |        "    // socket was opened in Python.\n",
4555 |        "    var element = $(\"#\" + id);\n",
4556 |        "    var ws_proxy = comm_websocket_adapter(comm)\n",
4557 |        "\n",
4558 |        "    function ondownload(figure, format) {\n",
4559 |        "        window.open(figure.imageObj.src);\n",
4560 |        "    }\n",
4561 |        "\n",
4562 |        "    var fig = new mpl.figure(id, ws_proxy,\n",
4563 |        "                           ondownload,\n",
4564 |        "                           element.get(0));\n",
4565 |        "\n",
4566 |        "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
4567 |        "    // web socket which is closed, not our websocket->open comm proxy.\n",
4568 |        "    ws_proxy.onopen();\n",
4569 |        "\n",
4570 |        "    fig.parent_element = element.get(0);\n",
4571 |        "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
4572 |        "    if (!fig.cell_info) {\n",
4573 |        "        console.error(\"Failed to find cell for figure\", id, fig);\n",
4574 |        "        return;\n",
4575 |        "    }\n",
4576 |        "\n",
4577 |        "    var output_index = fig.cell_info[2]\n",
4578 |        "    var cell = fig.cell_info[0];\n",
4579 |        "\n",
4580 |        "};\n",
4581 |        "\n",
4582 |        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
4583 |        "    var width = fig.canvas.width/mpl.ratio\n",
4584 |        "    fig.root.unbind('remove')\n",
4585 |        "\n",
4586 |        "    // Update the output cell to use the data from the current canvas.\n",
4587 |        "    fig.push_to_output();\n",
4588 |        "    var dataURL = fig.canvas.toDataURL();\n",
4589 |        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
4590 |        "    // the notebook keyboard shortcuts fail.\n",
4591 |        "    IPython.keyboard_manager.enable()\n",
4592 |        "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
4593 |        "    fig.close_ws(fig, msg);\n",
4594 |        "}\n",
4595 |        "\n",
4596 |        "mpl.figure.prototype.close_ws = function(fig, msg){\n",
4597 |        "    fig.send_message('closing', msg);\n",
4598 |        "    // fig.ws.close()\n",
4599 |        "}\n",
4600 |        "\n",
4601 |        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
4602 |        "    // Turn the data on the canvas into data in the output cell.\n",
4603 |        "    var width = this.canvas.width/mpl.ratio\n",
4604 |        "    var dataURL = this.canvas.toDataURL();\n",
4605 |        "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
4606 |        "}\n",
4607 |        "\n",
4608 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
4609 |        "    // Tell IPython that the notebook contents must change.\n",
4610 |        "    IPython.notebook.set_dirty(true);\n",
4611 |        "    this.send_message(\"ack\", {});\n",
4612 |        "    var fig = this;\n",
4613 |        "    // Wait a second, then push the new image to the DOM so\n",
4614 |        "    // that it is saved nicely (might be nice to debounce this).\n",
4615 |        "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
4616 |        "}\n",
4617 |        "\n",
4618 |        "mpl.figure.prototype._init_toolbar = function() {\n",
4619 |        "    var fig = this;\n",
4620 |        "\n",
4621 |        "    var nav_element = $('<div/>')\n",
4622 |        "    nav_element.attr('style', 'width: 100%');\n",
4623 |        "    this.root.append(nav_element);\n",
4624 |        "\n",
4625 |        "    // Define a callback function for later on.\n",
4626 |        "    function toolbar_event(event) {\n",
4627 |        "        return fig.toolbar_button_onclick(event['data']);\n",
4628 |        "    }\n",
4629 |        "    function toolbar_mouse_event(event) {\n",
4630 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
4631 |        "    }\n",
4632 |        "\n",
4633 |        "    for(var toolbar_ind in mpl.toolbar_items){\n",
4634 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
4635 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
4636 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
4637 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
4638 |        "\n",
4639 |        "        if (!name) { continue; };\n",
4640 |        "\n",
4641 |        "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
4642 |        "        button.click(method_name, toolbar_event);\n",
4643 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
4644 |        "        nav_element.append(button);\n",
4645 |        "    }\n",
4646 |        "\n",
4647 |        "    // Add the status bar.\n",
4648 |        "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
4649 |        "    nav_element.append(status_bar);\n",
4650 |        "    this.message = status_bar[0];\n",
4651 |        "\n",
4652 |        "    // Add the close button to the window.\n",
4653 |        "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
4654 |        "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
4655 |        "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
4656 |        "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
4657 |        "    buttongrp.append(button);\n",
4658 |        "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
4659 |        "    titlebar.prepend(buttongrp);\n",
4660 |        "}\n",
4661 |        "\n",
4662 |        "mpl.figure.prototype._root_extra_style = function(el){\n",
4663 |        "    var fig = this\n",
4664 |        "    el.on(\"remove\", function(){\n",
4665 |        "\tfig.close_ws(fig, {});\n",
4666 |        "    });\n",
4667 |        "}\n",
4668 |        "\n",
4669 |        "mpl.figure.prototype._canvas_extra_style = function(el){\n",
4670 |        "    // this is important to make the div 'focusable\n",
4671 |        "    el.attr('tabindex', 0)\n",
4672 |        "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
4673 |        "    // off when our div gets focus\n",
4674 |        "\n",
4675 |        "    // location in version 3\n",
4676 |        "    if (IPython.notebook.keyboard_manager) {\n",
4677 |        "        IPython.notebook.keyboard_manager.register_events(el);\n",
4678 |        "    }\n",
4679 |        "    else {\n",
4680 |        "        // location in version 2\n",
4681 |        "        IPython.keyboard_manager.register_events(el);\n",
4682 |        "    }\n",
4683 |        "\n",
4684 |        "}\n",
4685 |        "\n",
4686 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
4687 |        "    var manager = IPython.notebook.keyboard_manager;\n",
4688 |        "    if (!manager)\n",
4689 |        "        manager = IPython.keyboard_manager;\n",
4690 |        "\n",
4691 |        "    // Check for shift+enter\n",
4692 |        "    if (event.shiftKey && event.which == 13) {\n",
4693 |        "        this.canvas_div.blur();\n",
4694 |        "        event.shiftKey = false;\n",
4695 |        "        // Send a \"J\" for go to next cell\n",
4696 |        "        event.which = 74;\n",
4697 |        "        event.keyCode = 74;\n",
4698 |        "        manager.command_mode();\n",
4699 |        "        manager.handle_keydown(event);\n",
4700 |        "    }\n",
4701 |        "}\n",
4702 |        "\n",
4703 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
4704 |        "    fig.ondownload(fig, null);\n",
4705 |        "}\n",
4706 |        "\n",
4707 |        "\n",
4708 |        "mpl.find_output_cell = function(html_output) {\n",
4709 |        "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
4710 |        "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
4711 |        "    // IPython event is triggered only after the cells have been serialised, which for\n",
4712 |        "    // our purposes (turning an active figure into a static one), is too late.\n",
4713 |        "    var cells = IPython.notebook.get_cells();\n",
4714 |        "    var ncells = cells.length;\n",
4715 |        "    for (var i=0; i<ncells; i++) {\n",
4716 |        "        var cell = cells[i];\n",
4717 |        "        if (cell.cell_type === 'code'){\n",
4718 |        "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
4719 |        "                var data = cell.output_area.outputs[j];\n",
4720 |        "                if (data.data) {\n",
4721 |        "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
4722 |        "                    data = data.data;\n",
4723 |        "                }\n",
4724 |        "                if (data['text/html'] == html_output) {\n",
4725 |        "                    return [cell, data, j];\n",
4726 |        "                }\n",
4727 |        "            }\n",
4728 |        "        }\n",
4729 |        "    }\n",
4730 |        "}\n",
4731 |        "\n",
4732 |        "// Register the function which deals with the matplotlib target/channel.\n",
4733 |        "// The kernel may be null if the page has been refreshed.\n",
4734 |        "if (IPython.notebook.kernel != null) {\n",
4735 |        "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
4736 |        "}\n"
4737 |       ],
4738 |       "text/plain": [
4739 |        "<IPython.core.display.Javascript object>"
4740 |       ]
4741 |      },
4742 |      "metadata": {},
4743 |      "output_type": "display_data"
4744 |     },
4745 |     {
4746 |      "data": {
4747 |       "text/html": [
4748 |        "<img 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\" width=\"2160\">"
4749 |       ],
4750 |       "text/plain": [
4751 |        "<IPython.core.display.HTML object>"
4752 |       ]
4753 |      },
4754 |      "metadata": {},
4755 |      "output_type": "display_data"
4756 |     },
4757 |     {
4758 |      "name": "stderr",
4759 |      "output_type": "stream",
4760 |      "text": [
4761 |       "/anaconda3/lib/python3.7/site-packages/matplotlib/figure.py:98: MatplotlibDeprecationWarning: \n",
4762 |       "Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n",
4763 |       "  \"Adding an axes using the same arguments as a previous axes \"\n",
4764 |       "/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py:4238: SettingWithCopyWarning: \n",
4765 |       "A value is trying to be set on a copy of a slice from a DataFrame\n",
4766 |       "\n",
4767 |       "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
4768 |       "  return super().rename(**kwargs)\n"
4769 |      ]
4770 |     },
4771 |     {
4772 |      "data": {
4773 |       "application/javascript": [
4774 |        "/* Put everything inside the global mpl namespace */\n",
4775 |        "window.mpl = {};\n",
4776 |        "\n",
4777 |        "\n",
4778 |        "mpl.get_websocket_type = function() {\n",
4779 |        "    if (typeof(WebSocket) !== 'undefined') {\n",
4780 |        "        return WebSocket;\n",
4781 |        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
4782 |        "        return MozWebSocket;\n",
4783 |        "    } else {\n",
4784 |        "        alert('Your browser does not have WebSocket support.' +\n",
4785 |        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
4786 |        "              'Firefox 4 and 5 are also supported but you ' +\n",
4787 |        "              'have to enable WebSockets in about:config.');\n",
4788 |        "    };\n",
4789 |        "}\n",
4790 |        "\n",
4791 |        "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
4792 |        "    this.id = figure_id;\n",
4793 |        "\n",
4794 |        "    this.ws = websocket;\n",
4795 |        "\n",
4796 |        "    this.supports_binary = (this.ws.binaryType != undefined);\n",
4797 |        "\n",
4798 |        "    if (!this.supports_binary) {\n",
4799 |        "        var warnings = document.getElementById(\"mpl-warnings\");\n",
4800 |        "        if (warnings) {\n",
4801 |        "            warnings.style.display = 'block';\n",
4802 |        "            warnings.textContent = (\n",
4803 |        "                \"This browser does not support binary websocket messages. \" +\n",
4804 |        "                    \"Performance may be slow.\");\n",
4805 |        "        }\n",
4806 |        "    }\n",
4807 |        "\n",
4808 |        "    this.imageObj = new Image();\n",
4809 |        "\n",
4810 |        "    this.context = undefined;\n",
4811 |        "    this.message = undefined;\n",
4812 |        "    this.canvas = undefined;\n",
4813 |        "    this.rubberband_canvas = undefined;\n",
4814 |        "    this.rubberband_context = undefined;\n",
4815 |        "    this.format_dropdown = undefined;\n",
4816 |        "\n",
4817 |        "    this.image_mode = 'full';\n",
4818 |        "\n",
4819 |        "    this.root = $('<div/>');\n",
4820 |        "    this._root_extra_style(this.root)\n",
4821 |        "    this.root.attr('style', 'display: inline-block');\n",
4822 |        "\n",
4823 |        "    $(parent_element).append(this.root);\n",
4824 |        "\n",
4825 |        "    this._init_header(this);\n",
4826 |        "    this._init_canvas(this);\n",
4827 |        "    this._init_toolbar(this);\n",
4828 |        "\n",
4829 |        "    var fig = this;\n",
4830 |        "\n",
4831 |        "    this.waiting = false;\n",
4832 |        "\n",
4833 |        "    this.ws.onopen =  function () {\n",
4834 |        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
4835 |        "            fig.send_message(\"send_image_mode\", {});\n",
4836 |        "            if (mpl.ratio != 1) {\n",
4837 |        "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
4838 |        "            }\n",
4839 |        "            fig.send_message(\"refresh\", {});\n",
4840 |        "        }\n",
4841 |        "\n",
4842 |        "    this.imageObj.onload = function() {\n",
4843 |        "            if (fig.image_mode == 'full') {\n",
4844 |        "                // Full images could contain transparency (where diff images\n",
4845 |        "                // almost always do), so we need to clear the canvas so that\n",
4846 |        "                // there is no ghosting.\n",
4847 |        "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
4848 |        "            }\n",
4849 |        "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
4850 |        "        };\n",
4851 |        "\n",
4852 |        "    this.imageObj.onunload = function() {\n",
4853 |        "        fig.ws.close();\n",
4854 |        "    }\n",
4855 |        "\n",
4856 |        "    this.ws.onmessage = this._make_on_message_function(this);\n",
4857 |        "\n",
4858 |        "    this.ondownload = ondownload;\n",
4859 |        "}\n",
4860 |        "\n",
4861 |        "mpl.figure.prototype._init_header = function() {\n",
4862 |        "    var titlebar = $(\n",
4863 |        "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
4864 |        "        'ui-helper-clearfix\"/>');\n",
4865 |        "    var titletext = $(\n",
4866 |        "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
4867 |        "        'text-align: center; padding: 3px;\"/>');\n",
4868 |        "    titlebar.append(titletext)\n",
4869 |        "    this.root.append(titlebar);\n",
4870 |        "    this.header = titletext[0];\n",
4871 |        "}\n",
4872 |        "\n",
4873 |        "\n",
4874 |        "\n",
4875 |        "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
4876 |        "\n",
4877 |        "}\n",
4878 |        "\n",
4879 |        "\n",
4880 |        "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
4881 |        "\n",
4882 |        "}\n",
4883 |        "\n",
4884 |        "mpl.figure.prototype._init_canvas = function() {\n",
4885 |        "    var fig = this;\n",
4886 |        "\n",
4887 |        "    var canvas_div = $('<div/>');\n",
4888 |        "\n",
4889 |        "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
4890 |        "\n",
4891 |        "    function canvas_keyboard_event(event) {\n",
4892 |        "        return fig.key_event(event, event['data']);\n",
4893 |        "    }\n",
4894 |        "\n",
4895 |        "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
4896 |        "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
4897 |        "    this.canvas_div = canvas_div\n",
4898 |        "    this._canvas_extra_style(canvas_div)\n",
4899 |        "    this.root.append(canvas_div);\n",
4900 |        "\n",
4901 |        "    var canvas = $('<canvas/>');\n",
4902 |        "    canvas.addClass('mpl-canvas');\n",
4903 |        "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
4904 |        "\n",
4905 |        "    this.canvas = canvas[0];\n",
4906 |        "    this.context = canvas[0].getContext(\"2d\");\n",
4907 |        "\n",
4908 |        "    var backingStore = this.context.backingStorePixelRatio ||\n",
4909 |        "\tthis.context.webkitBackingStorePixelRatio ||\n",
4910 |        "\tthis.context.mozBackingStorePixelRatio ||\n",
4911 |        "\tthis.context.msBackingStorePixelRatio ||\n",
4912 |        "\tthis.context.oBackingStorePixelRatio ||\n",
4913 |        "\tthis.context.backingStorePixelRatio || 1;\n",
4914 |        "\n",
4915 |        "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
4916 |        "\n",
4917 |        "    var rubberband = $('<canvas/>');\n",
4918 |        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
4919 |        "\n",
4920 |        "    var pass_mouse_events = true;\n",
4921 |        "\n",
4922 |        "    canvas_div.resizable({\n",
4923 |        "        start: function(event, ui) {\n",
4924 |        "            pass_mouse_events = false;\n",
4925 |        "        },\n",
4926 |        "        resize: function(event, ui) {\n",
4927 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
4928 |        "        },\n",
4929 |        "        stop: function(event, ui) {\n",
4930 |        "            pass_mouse_events = true;\n",
4931 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
4932 |        "        },\n",
4933 |        "    });\n",
4934 |        "\n",
4935 |        "    function mouse_event_fn(event) {\n",
4936 |        "        if (pass_mouse_events)\n",
4937 |        "            return fig.mouse_event(event, event['data']);\n",
4938 |        "    }\n",
4939 |        "\n",
4940 |        "    rubberband.mousedown('button_press', mouse_event_fn);\n",
4941 |        "    rubberband.mouseup('button_release', mouse_event_fn);\n",
4942 |        "    // Throttle sequential mouse events to 1 every 20ms.\n",
4943 |        "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
4944 |        "\n",
4945 |        "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
4946 |        "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
4947 |        "\n",
4948 |        "    canvas_div.on(\"wheel\", function (event) {\n",
4949 |        "        event = event.originalEvent;\n",
4950 |        "        event['data'] = 'scroll'\n",
4951 |        "        if (event.deltaY < 0) {\n",
4952 |        "            event.step = 1;\n",
4953 |        "        } else {\n",
4954 |        "            event.step = -1;\n",
4955 |        "        }\n",
4956 |        "        mouse_event_fn(event);\n",
4957 |        "    });\n",
4958 |        "\n",
4959 |        "    canvas_div.append(canvas);\n",
4960 |        "    canvas_div.append(rubberband);\n",
4961 |        "\n",
4962 |        "    this.rubberband = rubberband;\n",
4963 |        "    this.rubberband_canvas = rubberband[0];\n",
4964 |        "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
4965 |        "    this.rubberband_context.strokeStyle = \"#000000\";\n",
4966 |        "\n",
4967 |        "    this._resize_canvas = function(width, height) {\n",
4968 |        "        // Keep the size of the canvas, canvas container, and rubber band\n",
4969 |        "        // canvas in synch.\n",
4970 |        "        canvas_div.css('width', width)\n",
4971 |        "        canvas_div.css('height', height)\n",
4972 |        "\n",
4973 |        "        canvas.attr('width', width * mpl.ratio);\n",
4974 |        "        canvas.attr('height', height * mpl.ratio);\n",
4975 |        "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
4976 |        "\n",
4977 |        "        rubberband.attr('width', width);\n",
4978 |        "        rubberband.attr('height', height);\n",
4979 |        "    }\n",
4980 |        "\n",
4981 |        "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
4982 |        "    // upon first draw.\n",
4983 |        "    this._resize_canvas(600, 600);\n",
4984 |        "\n",
4985 |        "    // Disable right mouse context menu.\n",
4986 |        "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
4987 |        "        return false;\n",
4988 |        "    });\n",
4989 |        "\n",
4990 |        "    function set_focus () {\n",
4991 |        "        canvas.focus();\n",
4992 |        "        canvas_div.focus();\n",
4993 |        "    }\n",
4994 |        "\n",
4995 |        "    window.setTimeout(set_focus, 100);\n",
4996 |        "}\n",
4997 |        "\n",
4998 |        "mpl.figure.prototype._init_toolbar = function() {\n",
4999 |        "    var fig = this;\n",
5000 |        "\n",
5001 |        "    var nav_element = $('<div/>')\n",
5002 |        "    nav_element.attr('style', 'width: 100%');\n",
5003 |        "    this.root.append(nav_element);\n",
5004 |        "\n",
5005 |        "    // Define a callback function for later on.\n",
5006 |        "    function toolbar_event(event) {\n",
5007 |        "        return fig.toolbar_button_onclick(event['data']);\n",
5008 |        "    }\n",
5009 |        "    function toolbar_mouse_event(event) {\n",
5010 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
5011 |        "    }\n",
5012 |        "\n",
5013 |        "    for(var toolbar_ind in mpl.toolbar_items) {\n",
5014 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
5015 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
5016 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
5017 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
5018 |        "\n",
5019 |        "        if (!name) {\n",
5020 |        "            // put a spacer in here.\n",
5021 |        "            continue;\n",
5022 |        "        }\n",
5023 |        "        var button = $('<button/>');\n",
5024 |        "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
5025 |        "                        'ui-button-icon-only');\n",
5026 |        "        button.attr('role', 'button');\n",
5027 |        "        button.attr('aria-disabled', 'false');\n",
5028 |        "        button.click(method_name, toolbar_event);\n",
5029 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
5030 |        "\n",
5031 |        "        var icon_img = $('<span/>');\n",
5032 |        "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
5033 |        "        icon_img.addClass(image);\n",
5034 |        "        icon_img.addClass('ui-corner-all');\n",
5035 |        "\n",
5036 |        "        var tooltip_span = $('<span/>');\n",
5037 |        "        tooltip_span.addClass('ui-button-text');\n",
5038 |        "        tooltip_span.html(tooltip);\n",
5039 |        "\n",
5040 |        "        button.append(icon_img);\n",
5041 |        "        button.append(tooltip_span);\n",
5042 |        "\n",
5043 |        "        nav_element.append(button);\n",
5044 |        "    }\n",
5045 |        "\n",
5046 |        "    var fmt_picker_span = $('<span/>');\n",
5047 |        "\n",
5048 |        "    var fmt_picker = $('<select/>');\n",
5049 |        "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
5050 |        "    fmt_picker_span.append(fmt_picker);\n",
5051 |        "    nav_element.append(fmt_picker_span);\n",
5052 |        "    this.format_dropdown = fmt_picker[0];\n",
5053 |        "\n",
5054 |        "    for (var ind in mpl.extensions) {\n",
5055 |        "        var fmt = mpl.extensions[ind];\n",
5056 |        "        var option = $(\n",
5057 |        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
5058 |        "        fmt_picker.append(option)\n",
5059 |        "    }\n",
5060 |        "\n",
5061 |        "    // Add hover states to the ui-buttons\n",
5062 |        "    $( \".ui-button\" ).hover(\n",
5063 |        "        function() { $(this).addClass(\"ui-state-hover\");},\n",
5064 |        "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
5065 |        "    );\n",
5066 |        "\n",
5067 |        "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
5068 |        "    nav_element.append(status_bar);\n",
5069 |        "    this.message = status_bar[0];\n",
5070 |        "}\n",
5071 |        "\n",
5072 |        "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
5073 |        "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
5074 |        "    // which will in turn request a refresh of the image.\n",
5075 |        "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
5076 |        "}\n",
5077 |        "\n",
5078 |        "mpl.figure.prototype.send_message = function(type, properties) {\n",
5079 |        "    properties['type'] = type;\n",
5080 |        "    properties['figure_id'] = this.id;\n",
5081 |        "    this.ws.send(JSON.stringify(properties));\n",
5082 |        "}\n",
5083 |        "\n",
5084 |        "mpl.figure.prototype.send_draw_message = function() {\n",
5085 |        "    if (!this.waiting) {\n",
5086 |        "        this.waiting = true;\n",
5087 |        "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
5088 |        "    }\n",
5089 |        "}\n",
5090 |        "\n",
5091 |        "\n",
5092 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
5093 |        "    var format_dropdown = fig.format_dropdown;\n",
5094 |        "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
5095 |        "    fig.ondownload(fig, format);\n",
5096 |        "}\n",
5097 |        "\n",
5098 |        "\n",
5099 |        "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
5100 |        "    var size = msg['size'];\n",
5101 |        "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
5102 |        "        fig._resize_canvas(size[0], size[1]);\n",
5103 |        "        fig.send_message(\"refresh\", {});\n",
5104 |        "    };\n",
5105 |        "}\n",
5106 |        "\n",
5107 |        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
5108 |        "    var x0 = msg['x0'] / mpl.ratio;\n",
5109 |        "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
5110 |        "    var x1 = msg['x1'] / mpl.ratio;\n",
5111 |        "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
5112 |        "    x0 = Math.floor(x0) + 0.5;\n",
5113 |        "    y0 = Math.floor(y0) + 0.5;\n",
5114 |        "    x1 = Math.floor(x1) + 0.5;\n",
5115 |        "    y1 = Math.floor(y1) + 0.5;\n",
5116 |        "    var min_x = Math.min(x0, x1);\n",
5117 |        "    var min_y = Math.min(y0, y1);\n",
5118 |        "    var width = Math.abs(x1 - x0);\n",
5119 |        "    var height = Math.abs(y1 - y0);\n",
5120 |        "\n",
5121 |        "    fig.rubberband_context.clearRect(\n",
5122 |        "        0, 0, fig.canvas.width, fig.canvas.height);\n",
5123 |        "\n",
5124 |        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
5125 |        "}\n",
5126 |        "\n",
5127 |        "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
5128 |        "    // Updates the figure title.\n",
5129 |        "    fig.header.textContent = msg['label'];\n",
5130 |        "}\n",
5131 |        "\n",
5132 |        "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
5133 |        "    var cursor = msg['cursor'];\n",
5134 |        "    switch(cursor)\n",
5135 |        "    {\n",
5136 |        "    case 0:\n",
5137 |        "        cursor = 'pointer';\n",
5138 |        "        break;\n",
5139 |        "    case 1:\n",
5140 |        "        cursor = 'default';\n",
5141 |        "        break;\n",
5142 |        "    case 2:\n",
5143 |        "        cursor = 'crosshair';\n",
5144 |        "        break;\n",
5145 |        "    case 3:\n",
5146 |        "        cursor = 'move';\n",
5147 |        "        break;\n",
5148 |        "    }\n",
5149 |        "    fig.rubberband_canvas.style.cursor = cursor;\n",
5150 |        "}\n",
5151 |        "\n",
5152 |        "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
5153 |        "    fig.message.textContent = msg['message'];\n",
5154 |        "}\n",
5155 |        "\n",
5156 |        "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
5157 |        "    // Request the server to send over a new figure.\n",
5158 |        "    fig.send_draw_message();\n",
5159 |        "}\n",
5160 |        "\n",
5161 |        "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
5162 |        "    fig.image_mode = msg['mode'];\n",
5163 |        "}\n",
5164 |        "\n",
5165 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
5166 |        "    // Called whenever the canvas gets updated.\n",
5167 |        "    this.send_message(\"ack\", {});\n",
5168 |        "}\n",
5169 |        "\n",
5170 |        "// A function to construct a web socket function for onmessage handling.\n",
5171 |        "// Called in the figure constructor.\n",
5172 |        "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
5173 |        "    return function socket_on_message(evt) {\n",
5174 |        "        if (evt.data instanceof Blob) {\n",
5175 |        "            /* FIXME: We get \"Resource interpreted as Image but\n",
5176 |        "             * transferred with MIME type text/plain:\" errors on\n",
5177 |        "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
5178 |        "             * to be part of the websocket stream */\n",
5179 |        "            evt.data.type = \"image/png\";\n",
5180 |        "\n",
5181 |        "            /* Free the memory for the previous frames */\n",
5182 |        "            if (fig.imageObj.src) {\n",
5183 |        "                (window.URL || window.webkitURL).revokeObjectURL(\n",
5184 |        "                    fig.imageObj.src);\n",
5185 |        "            }\n",
5186 |        "\n",
5187 |        "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
5188 |        "                evt.data);\n",
5189 |        "            fig.updated_canvas_event();\n",
5190 |        "            fig.waiting = false;\n",
5191 |        "            return;\n",
5192 |        "        }\n",
5193 |        "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
5194 |        "            fig.imageObj.src = evt.data;\n",
5195 |        "            fig.updated_canvas_event();\n",
5196 |        "            fig.waiting = false;\n",
5197 |        "            return;\n",
5198 |        "        }\n",
5199 |        "\n",
5200 |        "        var msg = JSON.parse(evt.data);\n",
5201 |        "        var msg_type = msg['type'];\n",
5202 |        "\n",
5203 |        "        // Call the  \"handle_{type}\" callback, which takes\n",
5204 |        "        // the figure and JSON message as its only arguments.\n",
5205 |        "        try {\n",
5206 |        "            var callback = fig[\"handle_\" + msg_type];\n",
5207 |        "        } catch (e) {\n",
5208 |        "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
5209 |        "            return;\n",
5210 |        "        }\n",
5211 |        "\n",
5212 |        "        if (callback) {\n",
5213 |        "            try {\n",
5214 |        "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
5215 |        "                callback(fig, msg);\n",
5216 |        "            } catch (e) {\n",
5217 |        "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
5218 |        "            }\n",
5219 |        "        }\n",
5220 |        "    };\n",
5221 |        "}\n",
5222 |        "\n",
5223 |        "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
5224 |        "mpl.findpos = function(e) {\n",
5225 |        "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
5226 |        "    var targ;\n",
5227 |        "    if (!e)\n",
5228 |        "        e = window.event;\n",
5229 |        "    if (e.target)\n",
5230 |        "        targ = e.target;\n",
5231 |        "    else if (e.srcElement)\n",
5232 |        "        targ = e.srcElement;\n",
5233 |        "    if (targ.nodeType == 3) // defeat Safari bug\n",
5234 |        "        targ = targ.parentNode;\n",
5235 |        "\n",
5236 |        "    // jQuery normalizes the pageX and pageY\n",
5237 |        "    // pageX,Y are the mouse positions relative to the document\n",
5238 |        "    // offset() returns the position of the element relative to the document\n",
5239 |        "    var x = e.pageX - $(targ).offset().left;\n",
5240 |        "    var y = e.pageY - $(targ).offset().top;\n",
5241 |        "\n",
5242 |        "    return {\"x\": x, \"y\": y};\n",
5243 |        "};\n",
5244 |        "\n",
5245 |        "/*\n",
5246 |        " * return a copy of an object with only non-object keys\n",
5247 |        " * we need this to avoid circular references\n",
5248 |        " * http://stackoverflow.com/a/24161582/3208463\n",
5249 |        " */\n",
5250 |        "function simpleKeys (original) {\n",
5251 |        "  return Object.keys(original).reduce(function (obj, key) {\n",
5252 |        "    if (typeof original[key] !== 'object')\n",
5253 |        "        obj[key] = original[key]\n",
5254 |        "    return obj;\n",
5255 |        "  }, {});\n",
5256 |        "}\n",
5257 |        "\n",
5258 |        "mpl.figure.prototype.mouse_event = function(event, name) {\n",
5259 |        "    var canvas_pos = mpl.findpos(event)\n",
5260 |        "\n",
5261 |        "    if (name === 'button_press')\n",
5262 |        "    {\n",
5263 |        "        this.canvas.focus();\n",
5264 |        "        this.canvas_div.focus();\n",
5265 |        "    }\n",
5266 |        "\n",
5267 |        "    var x = canvas_pos.x * mpl.ratio;\n",
5268 |        "    var y = canvas_pos.y * mpl.ratio;\n",
5269 |        "\n",
5270 |        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
5271 |        "                             step: event.step,\n",
5272 |        "                             guiEvent: simpleKeys(event)});\n",
5273 |        "\n",
5274 |        "    /* This prevents the web browser from automatically changing to\n",
5275 |        "     * the text insertion cursor when the button is pressed.  We want\n",
5276 |        "     * to control all of the cursor setting manually through the\n",
5277 |        "     * 'cursor' event from matplotlib */\n",
5278 |        "    event.preventDefault();\n",
5279 |        "    return false;\n",
5280 |        "}\n",
5281 |        "\n",
5282 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
5283 |        "    // Handle any extra behaviour associated with a key event\n",
5284 |        "}\n",
5285 |        "\n",
5286 |        "mpl.figure.prototype.key_event = function(event, name) {\n",
5287 |        "\n",
5288 |        "    // Prevent repeat events\n",
5289 |        "    if (name == 'key_press')\n",
5290 |        "    {\n",
5291 |        "        if (event.which === this._key)\n",
5292 |        "            return;\n",
5293 |        "        else\n",
5294 |        "            this._key = event.which;\n",
5295 |        "    }\n",
5296 |        "    if (name == 'key_release')\n",
5297 |        "        this._key = null;\n",
5298 |        "\n",
5299 |        "    var value = '';\n",
5300 |        "    if (event.ctrlKey && event.which != 17)\n",
5301 |        "        value += \"ctrl+\";\n",
5302 |        "    if (event.altKey && event.which != 18)\n",
5303 |        "        value += \"alt+\";\n",
5304 |        "    if (event.shiftKey && event.which != 16)\n",
5305 |        "        value += \"shift+\";\n",
5306 |        "\n",
5307 |        "    value += 'k';\n",
5308 |        "    value += event.which.toString();\n",
5309 |        "\n",
5310 |        "    this._key_event_extra(event, name);\n",
5311 |        "\n",
5312 |        "    this.send_message(name, {key: value,\n",
5313 |        "                             guiEvent: simpleKeys(event)});\n",
5314 |        "    return false;\n",
5315 |        "}\n",
5316 |        "\n",
5317 |        "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
5318 |        "    if (name == 'download') {\n",
5319 |        "        this.handle_save(this, null);\n",
5320 |        "    } else {\n",
5321 |        "        this.send_message(\"toolbar_button\", {name: name});\n",
5322 |        "    }\n",
5323 |        "};\n",
5324 |        "\n",
5325 |        "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
5326 |        "    this.message.textContent = tooltip;\n",
5327 |        "};\n",
5328 |        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
5329 |        "\n",
5330 |        "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
5331 |        "\n",
5332 |        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
5333 |        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
5334 |        "    // object with the appropriate methods. Currently this is a non binary\n",
5335 |        "    // socket, so there is still some room for performance tuning.\n",
5336 |        "    var ws = {};\n",
5337 |        "\n",
5338 |        "    ws.close = function() {\n",
5339 |        "        comm.close()\n",
5340 |        "    };\n",
5341 |        "    ws.send = function(m) {\n",
5342 |        "        //console.log('sending', m);\n",
5343 |        "        comm.send(m);\n",
5344 |        "    };\n",
5345 |        "    // Register the callback with on_msg.\n",
5346 |        "    comm.on_msg(function(msg) {\n",
5347 |        "        //console.log('receiving', msg['content']['data'], msg);\n",
5348 |        "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
5349 |        "        ws.onmessage(msg['content']['data'])\n",
5350 |        "    });\n",
5351 |        "    return ws;\n",
5352 |        "}\n",
5353 |        "\n",
5354 |        "mpl.mpl_figure_comm = function(comm, msg) {\n",
5355 |        "    // This is the function which gets called when the mpl process\n",
5356 |        "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
5357 |        "\n",
5358 |        "    var id = msg.content.data.id;\n",
5359 |        "    // Get hold of the div created by the display call when the Comm\n",
5360 |        "    // socket was opened in Python.\n",
5361 |        "    var element = $(\"#\" + id);\n",
5362 |        "    var ws_proxy = comm_websocket_adapter(comm)\n",
5363 |        "\n",
5364 |        "    function ondownload(figure, format) {\n",
5365 |        "        window.open(figure.imageObj.src);\n",
5366 |        "    }\n",
5367 |        "\n",
5368 |        "    var fig = new mpl.figure(id, ws_proxy,\n",
5369 |        "                           ondownload,\n",
5370 |        "                           element.get(0));\n",
5371 |        "\n",
5372 |        "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
5373 |        "    // web socket which is closed, not our websocket->open comm proxy.\n",
5374 |        "    ws_proxy.onopen();\n",
5375 |        "\n",
5376 |        "    fig.parent_element = element.get(0);\n",
5377 |        "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
5378 |        "    if (!fig.cell_info) {\n",
5379 |        "        console.error(\"Failed to find cell for figure\", id, fig);\n",
5380 |        "        return;\n",
5381 |        "    }\n",
5382 |        "\n",
5383 |        "    var output_index = fig.cell_info[2]\n",
5384 |        "    var cell = fig.cell_info[0];\n",
5385 |        "\n",
5386 |        "};\n",
5387 |        "\n",
5388 |        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
5389 |        "    var width = fig.canvas.width/mpl.ratio\n",
5390 |        "    fig.root.unbind('remove')\n",
5391 |        "\n",
5392 |        "    // Update the output cell to use the data from the current canvas.\n",
5393 |        "    fig.push_to_output();\n",
5394 |        "    var dataURL = fig.canvas.toDataURL();\n",
5395 |        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
5396 |        "    // the notebook keyboard shortcuts fail.\n",
5397 |        "    IPython.keyboard_manager.enable()\n",
5398 |        "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
5399 |        "    fig.close_ws(fig, msg);\n",
5400 |        "}\n",
5401 |        "\n",
5402 |        "mpl.figure.prototype.close_ws = function(fig, msg){\n",
5403 |        "    fig.send_message('closing', msg);\n",
5404 |        "    // fig.ws.close()\n",
5405 |        "}\n",
5406 |        "\n",
5407 |        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
5408 |        "    // Turn the data on the canvas into data in the output cell.\n",
5409 |        "    var width = this.canvas.width/mpl.ratio\n",
5410 |        "    var dataURL = this.canvas.toDataURL();\n",
5411 |        "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
5412 |        "}\n",
5413 |        "\n",
5414 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
5415 |        "    // Tell IPython that the notebook contents must change.\n",
5416 |        "    IPython.notebook.set_dirty(true);\n",
5417 |        "    this.send_message(\"ack\", {});\n",
5418 |        "    var fig = this;\n",
5419 |        "    // Wait a second, then push the new image to the DOM so\n",
5420 |        "    // that it is saved nicely (might be nice to debounce this).\n",
5421 |        "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
5422 |        "}\n",
5423 |        "\n",
5424 |        "mpl.figure.prototype._init_toolbar = function() {\n",
5425 |        "    var fig = this;\n",
5426 |        "\n",
5427 |        "    var nav_element = $('<div/>')\n",
5428 |        "    nav_element.attr('style', 'width: 100%');\n",
5429 |        "    this.root.append(nav_element);\n",
5430 |        "\n",
5431 |        "    // Define a callback function for later on.\n",
5432 |        "    function toolbar_event(event) {\n",
5433 |        "        return fig.toolbar_button_onclick(event['data']);\n",
5434 |        "    }\n",
5435 |        "    function toolbar_mouse_event(event) {\n",
5436 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
5437 |        "    }\n",
5438 |        "\n",
5439 |        "    for(var toolbar_ind in mpl.toolbar_items){\n",
5440 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
5441 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
5442 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
5443 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
5444 |        "\n",
5445 |        "        if (!name) { continue; };\n",
5446 |        "\n",
5447 |        "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
5448 |        "        button.click(method_name, toolbar_event);\n",
5449 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
5450 |        "        nav_element.append(button);\n",
5451 |        "    }\n",
5452 |        "\n",
5453 |        "    // Add the status bar.\n",
5454 |        "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
5455 |        "    nav_element.append(status_bar);\n",
5456 |        "    this.message = status_bar[0];\n",
5457 |        "\n",
5458 |        "    // Add the close button to the window.\n",
5459 |        "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
5460 |        "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
5461 |        "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
5462 |        "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
5463 |        "    buttongrp.append(button);\n",
5464 |        "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
5465 |        "    titlebar.prepend(buttongrp);\n",
5466 |        "}\n",
5467 |        "\n",
5468 |        "mpl.figure.prototype._root_extra_style = function(el){\n",
5469 |        "    var fig = this\n",
5470 |        "    el.on(\"remove\", function(){\n",
5471 |        "\tfig.close_ws(fig, {});\n",
5472 |        "    });\n",
5473 |        "}\n",
5474 |        "\n",
5475 |        "mpl.figure.prototype._canvas_extra_style = function(el){\n",
5476 |        "    // this is important to make the div 'focusable\n",
5477 |        "    el.attr('tabindex', 0)\n",
5478 |        "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
5479 |        "    // off when our div gets focus\n",
5480 |        "\n",
5481 |        "    // location in version 3\n",
5482 |        "    if (IPython.notebook.keyboard_manager) {\n",
5483 |        "        IPython.notebook.keyboard_manager.register_events(el);\n",
5484 |        "    }\n",
5485 |        "    else {\n",
5486 |        "        // location in version 2\n",
5487 |        "        IPython.keyboard_manager.register_events(el);\n",
5488 |        "    }\n",
5489 |        "\n",
5490 |        "}\n",
5491 |        "\n",
5492 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
5493 |        "    var manager = IPython.notebook.keyboard_manager;\n",
5494 |        "    if (!manager)\n",
5495 |        "        manager = IPython.keyboard_manager;\n",
5496 |        "\n",
5497 |        "    // Check for shift+enter\n",
5498 |        "    if (event.shiftKey && event.which == 13) {\n",
5499 |        "        this.canvas_div.blur();\n",
5500 |        "        event.shiftKey = false;\n",
5501 |        "        // Send a \"J\" for go to next cell\n",
5502 |        "        event.which = 74;\n",
5503 |        "        event.keyCode = 74;\n",
5504 |        "        manager.command_mode();\n",
5505 |        "        manager.handle_keydown(event);\n",
5506 |        "    }\n",
5507 |        "}\n",
5508 |        "\n",
5509 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
5510 |        "    fig.ondownload(fig, null);\n",
5511 |        "}\n",
5512 |        "\n",
5513 |        "\n",
5514 |        "mpl.find_output_cell = function(html_output) {\n",
5515 |        "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
5516 |        "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
5517 |        "    // IPython event is triggered only after the cells have been serialised, which for\n",
5518 |        "    // our purposes (turning an active figure into a static one), is too late.\n",
5519 |        "    var cells = IPython.notebook.get_cells();\n",
5520 |        "    var ncells = cells.length;\n",
5521 |        "    for (var i=0; i<ncells; i++) {\n",
5522 |        "        var cell = cells[i];\n",
5523 |        "        if (cell.cell_type === 'code'){\n",
5524 |        "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
5525 |        "                var data = cell.output_area.outputs[j];\n",
5526 |        "                if (data.data) {\n",
5527 |        "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
5528 |        "                    data = data.data;\n",
5529 |        "                }\n",
5530 |        "                if (data['text/html'] == html_output) {\n",
5531 |        "                    return [cell, data, j];\n",
5532 |        "                }\n",
5533 |        "            }\n",
5534 |        "        }\n",
5535 |        "    }\n",
5536 |        "}\n",
5537 |        "\n",
5538 |        "// Register the function which deals with the matplotlib target/channel.\n",
5539 |        "// The kernel may be null if the page has been refreshed.\n",
5540 |        "if (IPython.notebook.kernel != null) {\n",
5541 |        "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
5542 |        "}\n"
5543 |       ],
5544 |       "text/plain": [
5545 |        "<IPython.core.display.Javascript object>"
5546 |       ]
5547 |      },
5548 |      "metadata": {},
5549 |      "output_type": "display_data"
5550 |     },
5551 |     {
5552 |      "data": {
5553 |       "text/html": [
5554 |        "<img 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\" width=\"2160\">"
5555 |       ],
5556 |       "text/plain": [
5557 |        "<IPython.core.display.HTML object>"
5558 |       ]
5559 |      },
5560 |      "metadata": {},
5561 |      "output_type": "display_data"
5562 |     },
5563 |     {
5564 |      "name": "stderr",
5565 |      "output_type": "stream",
5566 |      "text": [
5567 |       "/anaconda3/lib/python3.7/site-packages/matplotlib/figure.py:98: MatplotlibDeprecationWarning: \n",
5568 |       "Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n",
5569 |       "  \"Adding an axes using the same arguments as a previous axes \"\n",
5570 |       "/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py:4238: SettingWithCopyWarning: \n",
5571 |       "A value is trying to be set on a copy of a slice from a DataFrame\n",
5572 |       "\n",
5573 |       "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
5574 |       "  return super().rename(**kwargs)\n"
5575 |      ]
5576 |     },
5577 |     {
5578 |      "data": {
5579 |       "application/javascript": [
5580 |        "/* Put everything inside the global mpl namespace */\n",
5581 |        "window.mpl = {};\n",
5582 |        "\n",
5583 |        "\n",
5584 |        "mpl.get_websocket_type = function() {\n",
5585 |        "    if (typeof(WebSocket) !== 'undefined') {\n",
5586 |        "        return WebSocket;\n",
5587 |        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
5588 |        "        return MozWebSocket;\n",
5589 |        "    } else {\n",
5590 |        "        alert('Your browser does not have WebSocket support.' +\n",
5591 |        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
5592 |        "              'Firefox 4 and 5 are also supported but you ' +\n",
5593 |        "              'have to enable WebSockets in about:config.');\n",
5594 |        "    };\n",
5595 |        "}\n",
5596 |        "\n",
5597 |        "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
5598 |        "    this.id = figure_id;\n",
5599 |        "\n",
5600 |        "    this.ws = websocket;\n",
5601 |        "\n",
5602 |        "    this.supports_binary = (this.ws.binaryType != undefined);\n",
5603 |        "\n",
5604 |        "    if (!this.supports_binary) {\n",
5605 |        "        var warnings = document.getElementById(\"mpl-warnings\");\n",
5606 |        "        if (warnings) {\n",
5607 |        "            warnings.style.display = 'block';\n",
5608 |        "            warnings.textContent = (\n",
5609 |        "                \"This browser does not support binary websocket messages. \" +\n",
5610 |        "                    \"Performance may be slow.\");\n",
5611 |        "        }\n",
5612 |        "    }\n",
5613 |        "\n",
5614 |        "    this.imageObj = new Image();\n",
5615 |        "\n",
5616 |        "    this.context = undefined;\n",
5617 |        "    this.message = undefined;\n",
5618 |        "    this.canvas = undefined;\n",
5619 |        "    this.rubberband_canvas = undefined;\n",
5620 |        "    this.rubberband_context = undefined;\n",
5621 |        "    this.format_dropdown = undefined;\n",
5622 |        "\n",
5623 |        "    this.image_mode = 'full';\n",
5624 |        "\n",
5625 |        "    this.root = $('<div/>');\n",
5626 |        "    this._root_extra_style(this.root)\n",
5627 |        "    this.root.attr('style', 'display: inline-block');\n",
5628 |        "\n",
5629 |        "    $(parent_element).append(this.root);\n",
5630 |        "\n",
5631 |        "    this._init_header(this);\n",
5632 |        "    this._init_canvas(this);\n",
5633 |        "    this._init_toolbar(this);\n",
5634 |        "\n",
5635 |        "    var fig = this;\n",
5636 |        "\n",
5637 |        "    this.waiting = false;\n",
5638 |        "\n",
5639 |        "    this.ws.onopen =  function () {\n",
5640 |        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
5641 |        "            fig.send_message(\"send_image_mode\", {});\n",
5642 |        "            if (mpl.ratio != 1) {\n",
5643 |        "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
5644 |        "            }\n",
5645 |        "            fig.send_message(\"refresh\", {});\n",
5646 |        "        }\n",
5647 |        "\n",
5648 |        "    this.imageObj.onload = function() {\n",
5649 |        "            if (fig.image_mode == 'full') {\n",
5650 |        "                // Full images could contain transparency (where diff images\n",
5651 |        "                // almost always do), so we need to clear the canvas so that\n",
5652 |        "                // there is no ghosting.\n",
5653 |        "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
5654 |        "            }\n",
5655 |        "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
5656 |        "        };\n",
5657 |        "\n",
5658 |        "    this.imageObj.onunload = function() {\n",
5659 |        "        fig.ws.close();\n",
5660 |        "    }\n",
5661 |        "\n",
5662 |        "    this.ws.onmessage = this._make_on_message_function(this);\n",
5663 |        "\n",
5664 |        "    this.ondownload = ondownload;\n",
5665 |        "}\n",
5666 |        "\n",
5667 |        "mpl.figure.prototype._init_header = function() {\n",
5668 |        "    var titlebar = $(\n",
5669 |        "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
5670 |        "        'ui-helper-clearfix\"/>');\n",
5671 |        "    var titletext = $(\n",
5672 |        "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
5673 |        "        'text-align: center; padding: 3px;\"/>');\n",
5674 |        "    titlebar.append(titletext)\n",
5675 |        "    this.root.append(titlebar);\n",
5676 |        "    this.header = titletext[0];\n",
5677 |        "}\n",
5678 |        "\n",
5679 |        "\n",
5680 |        "\n",
5681 |        "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
5682 |        "\n",
5683 |        "}\n",
5684 |        "\n",
5685 |        "\n",
5686 |        "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
5687 |        "\n",
5688 |        "}\n",
5689 |        "\n",
5690 |        "mpl.figure.prototype._init_canvas = function() {\n",
5691 |        "    var fig = this;\n",
5692 |        "\n",
5693 |        "    var canvas_div = $('<div/>');\n",
5694 |        "\n",
5695 |        "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
5696 |        "\n",
5697 |        "    function canvas_keyboard_event(event) {\n",
5698 |        "        return fig.key_event(event, event['data']);\n",
5699 |        "    }\n",
5700 |        "\n",
5701 |        "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
5702 |        "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
5703 |        "    this.canvas_div = canvas_div\n",
5704 |        "    this._canvas_extra_style(canvas_div)\n",
5705 |        "    this.root.append(canvas_div);\n",
5706 |        "\n",
5707 |        "    var canvas = $('<canvas/>');\n",
5708 |        "    canvas.addClass('mpl-canvas');\n",
5709 |        "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
5710 |        "\n",
5711 |        "    this.canvas = canvas[0];\n",
5712 |        "    this.context = canvas[0].getContext(\"2d\");\n",
5713 |        "\n",
5714 |        "    var backingStore = this.context.backingStorePixelRatio ||\n",
5715 |        "\tthis.context.webkitBackingStorePixelRatio ||\n",
5716 |        "\tthis.context.mozBackingStorePixelRatio ||\n",
5717 |        "\tthis.context.msBackingStorePixelRatio ||\n",
5718 |        "\tthis.context.oBackingStorePixelRatio ||\n",
5719 |        "\tthis.context.backingStorePixelRatio || 1;\n",
5720 |        "\n",
5721 |        "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
5722 |        "\n",
5723 |        "    var rubberband = $('<canvas/>');\n",
5724 |        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
5725 |        "\n",
5726 |        "    var pass_mouse_events = true;\n",
5727 |        "\n",
5728 |        "    canvas_div.resizable({\n",
5729 |        "        start: function(event, ui) {\n",
5730 |        "            pass_mouse_events = false;\n",
5731 |        "        },\n",
5732 |        "        resize: function(event, ui) {\n",
5733 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
5734 |        "        },\n",
5735 |        "        stop: function(event, ui) {\n",
5736 |        "            pass_mouse_events = true;\n",
5737 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
5738 |        "        },\n",
5739 |        "    });\n",
5740 |        "\n",
5741 |        "    function mouse_event_fn(event) {\n",
5742 |        "        if (pass_mouse_events)\n",
5743 |        "            return fig.mouse_event(event, event['data']);\n",
5744 |        "    }\n",
5745 |        "\n",
5746 |        "    rubberband.mousedown('button_press', mouse_event_fn);\n",
5747 |        "    rubberband.mouseup('button_release', mouse_event_fn);\n",
5748 |        "    // Throttle sequential mouse events to 1 every 20ms.\n",
5749 |        "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
5750 |        "\n",
5751 |        "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
5752 |        "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
5753 |        "\n",
5754 |        "    canvas_div.on(\"wheel\", function (event) {\n",
5755 |        "        event = event.originalEvent;\n",
5756 |        "        event['data'] = 'scroll'\n",
5757 |        "        if (event.deltaY < 0) {\n",
5758 |        "            event.step = 1;\n",
5759 |        "        } else {\n",
5760 |        "            event.step = -1;\n",
5761 |        "        }\n",
5762 |        "        mouse_event_fn(event);\n",
5763 |        "    });\n",
5764 |        "\n",
5765 |        "    canvas_div.append(canvas);\n",
5766 |        "    canvas_div.append(rubberband);\n",
5767 |        "\n",
5768 |        "    this.rubberband = rubberband;\n",
5769 |        "    this.rubberband_canvas = rubberband[0];\n",
5770 |        "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
5771 |        "    this.rubberband_context.strokeStyle = \"#000000\";\n",
5772 |        "\n",
5773 |        "    this._resize_canvas = function(width, height) {\n",
5774 |        "        // Keep the size of the canvas, canvas container, and rubber band\n",
5775 |        "        // canvas in synch.\n",
5776 |        "        canvas_div.css('width', width)\n",
5777 |        "        canvas_div.css('height', height)\n",
5778 |        "\n",
5779 |        "        canvas.attr('width', width * mpl.ratio);\n",
5780 |        "        canvas.attr('height', height * mpl.ratio);\n",
5781 |        "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
5782 |        "\n",
5783 |        "        rubberband.attr('width', width);\n",
5784 |        "        rubberband.attr('height', height);\n",
5785 |        "    }\n",
5786 |        "\n",
5787 |        "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
5788 |        "    // upon first draw.\n",
5789 |        "    this._resize_canvas(600, 600);\n",
5790 |        "\n",
5791 |        "    // Disable right mouse context menu.\n",
5792 |        "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
5793 |        "        return false;\n",
5794 |        "    });\n",
5795 |        "\n",
5796 |        "    function set_focus () {\n",
5797 |        "        canvas.focus();\n",
5798 |        "        canvas_div.focus();\n",
5799 |        "    }\n",
5800 |        "\n",
5801 |        "    window.setTimeout(set_focus, 100);\n",
5802 |        "}\n",
5803 |        "\n",
5804 |        "mpl.figure.prototype._init_toolbar = function() {\n",
5805 |        "    var fig = this;\n",
5806 |        "\n",
5807 |        "    var nav_element = $('<div/>')\n",
5808 |        "    nav_element.attr('style', 'width: 100%');\n",
5809 |        "    this.root.append(nav_element);\n",
5810 |        "\n",
5811 |        "    // Define a callback function for later on.\n",
5812 |        "    function toolbar_event(event) {\n",
5813 |        "        return fig.toolbar_button_onclick(event['data']);\n",
5814 |        "    }\n",
5815 |        "    function toolbar_mouse_event(event) {\n",
5816 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
5817 |        "    }\n",
5818 |        "\n",
5819 |        "    for(var toolbar_ind in mpl.toolbar_items) {\n",
5820 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
5821 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
5822 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
5823 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
5824 |        "\n",
5825 |        "        if (!name) {\n",
5826 |        "            // put a spacer in here.\n",
5827 |        "            continue;\n",
5828 |        "        }\n",
5829 |        "        var button = $('<button/>');\n",
5830 |        "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
5831 |        "                        'ui-button-icon-only');\n",
5832 |        "        button.attr('role', 'button');\n",
5833 |        "        button.attr('aria-disabled', 'false');\n",
5834 |        "        button.click(method_name, toolbar_event);\n",
5835 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
5836 |        "\n",
5837 |        "        var icon_img = $('<span/>');\n",
5838 |        "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
5839 |        "        icon_img.addClass(image);\n",
5840 |        "        icon_img.addClass('ui-corner-all');\n",
5841 |        "\n",
5842 |        "        var tooltip_span = $('<span/>');\n",
5843 |        "        tooltip_span.addClass('ui-button-text');\n",
5844 |        "        tooltip_span.html(tooltip);\n",
5845 |        "\n",
5846 |        "        button.append(icon_img);\n",
5847 |        "        button.append(tooltip_span);\n",
5848 |        "\n",
5849 |        "        nav_element.append(button);\n",
5850 |        "    }\n",
5851 |        "\n",
5852 |        "    var fmt_picker_span = $('<span/>');\n",
5853 |        "\n",
5854 |        "    var fmt_picker = $('<select/>');\n",
5855 |        "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
5856 |        "    fmt_picker_span.append(fmt_picker);\n",
5857 |        "    nav_element.append(fmt_picker_span);\n",
5858 |        "    this.format_dropdown = fmt_picker[0];\n",
5859 |        "\n",
5860 |        "    for (var ind in mpl.extensions) {\n",
5861 |        "        var fmt = mpl.extensions[ind];\n",
5862 |        "        var option = $(\n",
5863 |        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
5864 |        "        fmt_picker.append(option)\n",
5865 |        "    }\n",
5866 |        "\n",
5867 |        "    // Add hover states to the ui-buttons\n",
5868 |        "    $( \".ui-button\" ).hover(\n",
5869 |        "        function() { $(this).addClass(\"ui-state-hover\");},\n",
5870 |        "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
5871 |        "    );\n",
5872 |        "\n",
5873 |        "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
5874 |        "    nav_element.append(status_bar);\n",
5875 |        "    this.message = status_bar[0];\n",
5876 |        "}\n",
5877 |        "\n",
5878 |        "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
5879 |        "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
5880 |        "    // which will in turn request a refresh of the image.\n",
5881 |        "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
5882 |        "}\n",
5883 |        "\n",
5884 |        "mpl.figure.prototype.send_message = function(type, properties) {\n",
5885 |        "    properties['type'] = type;\n",
5886 |        "    properties['figure_id'] = this.id;\n",
5887 |        "    this.ws.send(JSON.stringify(properties));\n",
5888 |        "}\n",
5889 |        "\n",
5890 |        "mpl.figure.prototype.send_draw_message = function() {\n",
5891 |        "    if (!this.waiting) {\n",
5892 |        "        this.waiting = true;\n",
5893 |        "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
5894 |        "    }\n",
5895 |        "}\n",
5896 |        "\n",
5897 |        "\n",
5898 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
5899 |        "    var format_dropdown = fig.format_dropdown;\n",
5900 |        "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
5901 |        "    fig.ondownload(fig, format);\n",
5902 |        "}\n",
5903 |        "\n",
5904 |        "\n",
5905 |        "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
5906 |        "    var size = msg['size'];\n",
5907 |        "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
5908 |        "        fig._resize_canvas(size[0], size[1]);\n",
5909 |        "        fig.send_message(\"refresh\", {});\n",
5910 |        "    };\n",
5911 |        "}\n",
5912 |        "\n",
5913 |        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
5914 |        "    var x0 = msg['x0'] / mpl.ratio;\n",
5915 |        "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
5916 |        "    var x1 = msg['x1'] / mpl.ratio;\n",
5917 |        "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
5918 |        "    x0 = Math.floor(x0) + 0.5;\n",
5919 |        "    y0 = Math.floor(y0) + 0.5;\n",
5920 |        "    x1 = Math.floor(x1) + 0.5;\n",
5921 |        "    y1 = Math.floor(y1) + 0.5;\n",
5922 |        "    var min_x = Math.min(x0, x1);\n",
5923 |        "    var min_y = Math.min(y0, y1);\n",
5924 |        "    var width = Math.abs(x1 - x0);\n",
5925 |        "    var height = Math.abs(y1 - y0);\n",
5926 |        "\n",
5927 |        "    fig.rubberband_context.clearRect(\n",
5928 |        "        0, 0, fig.canvas.width, fig.canvas.height);\n",
5929 |        "\n",
5930 |        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
5931 |        "}\n",
5932 |        "\n",
5933 |        "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
5934 |        "    // Updates the figure title.\n",
5935 |        "    fig.header.textContent = msg['label'];\n",
5936 |        "}\n",
5937 |        "\n",
5938 |        "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
5939 |        "    var cursor = msg['cursor'];\n",
5940 |        "    switch(cursor)\n",
5941 |        "    {\n",
5942 |        "    case 0:\n",
5943 |        "        cursor = 'pointer';\n",
5944 |        "        break;\n",
5945 |        "    case 1:\n",
5946 |        "        cursor = 'default';\n",
5947 |        "        break;\n",
5948 |        "    case 2:\n",
5949 |        "        cursor = 'crosshair';\n",
5950 |        "        break;\n",
5951 |        "    case 3:\n",
5952 |        "        cursor = 'move';\n",
5953 |        "        break;\n",
5954 |        "    }\n",
5955 |        "    fig.rubberband_canvas.style.cursor = cursor;\n",
5956 |        "}\n",
5957 |        "\n",
5958 |        "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
5959 |        "    fig.message.textContent = msg['message'];\n",
5960 |        "}\n",
5961 |        "\n",
5962 |        "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
5963 |        "    // Request the server to send over a new figure.\n",
5964 |        "    fig.send_draw_message();\n",
5965 |        "}\n",
5966 |        "\n",
5967 |        "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
5968 |        "    fig.image_mode = msg['mode'];\n",
5969 |        "}\n",
5970 |        "\n",
5971 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
5972 |        "    // Called whenever the canvas gets updated.\n",
5973 |        "    this.send_message(\"ack\", {});\n",
5974 |        "}\n",
5975 |        "\n",
5976 |        "// A function to construct a web socket function for onmessage handling.\n",
5977 |        "// Called in the figure constructor.\n",
5978 |        "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
5979 |        "    return function socket_on_message(evt) {\n",
5980 |        "        if (evt.data instanceof Blob) {\n",
5981 |        "            /* FIXME: We get \"Resource interpreted as Image but\n",
5982 |        "             * transferred with MIME type text/plain:\" errors on\n",
5983 |        "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
5984 |        "             * to be part of the websocket stream */\n",
5985 |        "            evt.data.type = \"image/png\";\n",
5986 |        "\n",
5987 |        "            /* Free the memory for the previous frames */\n",
5988 |        "            if (fig.imageObj.src) {\n",
5989 |        "                (window.URL || window.webkitURL).revokeObjectURL(\n",
5990 |        "                    fig.imageObj.src);\n",
5991 |        "            }\n",
5992 |        "\n",
5993 |        "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
5994 |        "                evt.data);\n",
5995 |        "            fig.updated_canvas_event();\n",
5996 |        "            fig.waiting = false;\n",
5997 |        "            return;\n",
5998 |        "        }\n",
5999 |        "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
6000 |        "            fig.imageObj.src = evt.data;\n",
6001 |        "            fig.updated_canvas_event();\n",
6002 |        "            fig.waiting = false;\n",
6003 |        "            return;\n",
6004 |        "        }\n",
6005 |        "\n",
6006 |        "        var msg = JSON.parse(evt.data);\n",
6007 |        "        var msg_type = msg['type'];\n",
6008 |        "\n",
6009 |        "        // Call the  \"handle_{type}\" callback, which takes\n",
6010 |        "        // the figure and JSON message as its only arguments.\n",
6011 |        "        try {\n",
6012 |        "            var callback = fig[\"handle_\" + msg_type];\n",
6013 |        "        } catch (e) {\n",
6014 |        "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
6015 |        "            return;\n",
6016 |        "        }\n",
6017 |        "\n",
6018 |        "        if (callback) {\n",
6019 |        "            try {\n",
6020 |        "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
6021 |        "                callback(fig, msg);\n",
6022 |        "            } catch (e) {\n",
6023 |        "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
6024 |        "            }\n",
6025 |        "        }\n",
6026 |        "    };\n",
6027 |        "}\n",
6028 |        "\n",
6029 |        "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
6030 |        "mpl.findpos = function(e) {\n",
6031 |        "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
6032 |        "    var targ;\n",
6033 |        "    if (!e)\n",
6034 |        "        e = window.event;\n",
6035 |        "    if (e.target)\n",
6036 |        "        targ = e.target;\n",
6037 |        "    else if (e.srcElement)\n",
6038 |        "        targ = e.srcElement;\n",
6039 |        "    if (targ.nodeType == 3) // defeat Safari bug\n",
6040 |        "        targ = targ.parentNode;\n",
6041 |        "\n",
6042 |        "    // jQuery normalizes the pageX and pageY\n",
6043 |        "    // pageX,Y are the mouse positions relative to the document\n",
6044 |        "    // offset() returns the position of the element relative to the document\n",
6045 |        "    var x = e.pageX - $(targ).offset().left;\n",
6046 |        "    var y = e.pageY - $(targ).offset().top;\n",
6047 |        "\n",
6048 |        "    return {\"x\": x, \"y\": y};\n",
6049 |        "};\n",
6050 |        "\n",
6051 |        "/*\n",
6052 |        " * return a copy of an object with only non-object keys\n",
6053 |        " * we need this to avoid circular references\n",
6054 |        " * http://stackoverflow.com/a/24161582/3208463\n",
6055 |        " */\n",
6056 |        "function simpleKeys (original) {\n",
6057 |        "  return Object.keys(original).reduce(function (obj, key) {\n",
6058 |        "    if (typeof original[key] !== 'object')\n",
6059 |        "        obj[key] = original[key]\n",
6060 |        "    return obj;\n",
6061 |        "  }, {});\n",
6062 |        "}\n",
6063 |        "\n",
6064 |        "mpl.figure.prototype.mouse_event = function(event, name) {\n",
6065 |        "    var canvas_pos = mpl.findpos(event)\n",
6066 |        "\n",
6067 |        "    if (name === 'button_press')\n",
6068 |        "    {\n",
6069 |        "        this.canvas.focus();\n",
6070 |        "        this.canvas_div.focus();\n",
6071 |        "    }\n",
6072 |        "\n",
6073 |        "    var x = canvas_pos.x * mpl.ratio;\n",
6074 |        "    var y = canvas_pos.y * mpl.ratio;\n",
6075 |        "\n",
6076 |        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
6077 |        "                             step: event.step,\n",
6078 |        "                             guiEvent: simpleKeys(event)});\n",
6079 |        "\n",
6080 |        "    /* This prevents the web browser from automatically changing to\n",
6081 |        "     * the text insertion cursor when the button is pressed.  We want\n",
6082 |        "     * to control all of the cursor setting manually through the\n",
6083 |        "     * 'cursor' event from matplotlib */\n",
6084 |        "    event.preventDefault();\n",
6085 |        "    return false;\n",
6086 |        "}\n",
6087 |        "\n",
6088 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
6089 |        "    // Handle any extra behaviour associated with a key event\n",
6090 |        "}\n",
6091 |        "\n",
6092 |        "mpl.figure.prototype.key_event = function(event, name) {\n",
6093 |        "\n",
6094 |        "    // Prevent repeat events\n",
6095 |        "    if (name == 'key_press')\n",
6096 |        "    {\n",
6097 |        "        if (event.which === this._key)\n",
6098 |        "            return;\n",
6099 |        "        else\n",
6100 |        "            this._key = event.which;\n",
6101 |        "    }\n",
6102 |        "    if (name == 'key_release')\n",
6103 |        "        this._key = null;\n",
6104 |        "\n",
6105 |        "    var value = '';\n",
6106 |        "    if (event.ctrlKey && event.which != 17)\n",
6107 |        "        value += \"ctrl+\";\n",
6108 |        "    if (event.altKey && event.which != 18)\n",
6109 |        "        value += \"alt+\";\n",
6110 |        "    if (event.shiftKey && event.which != 16)\n",
6111 |        "        value += \"shift+\";\n",
6112 |        "\n",
6113 |        "    value += 'k';\n",
6114 |        "    value += event.which.toString();\n",
6115 |        "\n",
6116 |        "    this._key_event_extra(event, name);\n",
6117 |        "\n",
6118 |        "    this.send_message(name, {key: value,\n",
6119 |        "                             guiEvent: simpleKeys(event)});\n",
6120 |        "    return false;\n",
6121 |        "}\n",
6122 |        "\n",
6123 |        "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
6124 |        "    if (name == 'download') {\n",
6125 |        "        this.handle_save(this, null);\n",
6126 |        "    } else {\n",
6127 |        "        this.send_message(\"toolbar_button\", {name: name});\n",
6128 |        "    }\n",
6129 |        "};\n",
6130 |        "\n",
6131 |        "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
6132 |        "    this.message.textContent = tooltip;\n",
6133 |        "};\n",
6134 |        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
6135 |        "\n",
6136 |        "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
6137 |        "\n",
6138 |        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
6139 |        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
6140 |        "    // object with the appropriate methods. Currently this is a non binary\n",
6141 |        "    // socket, so there is still some room for performance tuning.\n",
6142 |        "    var ws = {};\n",
6143 |        "\n",
6144 |        "    ws.close = function() {\n",
6145 |        "        comm.close()\n",
6146 |        "    };\n",
6147 |        "    ws.send = function(m) {\n",
6148 |        "        //console.log('sending', m);\n",
6149 |        "        comm.send(m);\n",
6150 |        "    };\n",
6151 |        "    // Register the callback with on_msg.\n",
6152 |        "    comm.on_msg(function(msg) {\n",
6153 |        "        //console.log('receiving', msg['content']['data'], msg);\n",
6154 |        "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
6155 |        "        ws.onmessage(msg['content']['data'])\n",
6156 |        "    });\n",
6157 |        "    return ws;\n",
6158 |        "}\n",
6159 |        "\n",
6160 |        "mpl.mpl_figure_comm = function(comm, msg) {\n",
6161 |        "    // This is the function which gets called when the mpl process\n",
6162 |        "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
6163 |        "\n",
6164 |        "    var id = msg.content.data.id;\n",
6165 |        "    // Get hold of the div created by the display call when the Comm\n",
6166 |        "    // socket was opened in Python.\n",
6167 |        "    var element = $(\"#\" + id);\n",
6168 |        "    var ws_proxy = comm_websocket_adapter(comm)\n",
6169 |        "\n",
6170 |        "    function ondownload(figure, format) {\n",
6171 |        "        window.open(figure.imageObj.src);\n",
6172 |        "    }\n",
6173 |        "\n",
6174 |        "    var fig = new mpl.figure(id, ws_proxy,\n",
6175 |        "                           ondownload,\n",
6176 |        "                           element.get(0));\n",
6177 |        "\n",
6178 |        "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
6179 |        "    // web socket which is closed, not our websocket->open comm proxy.\n",
6180 |        "    ws_proxy.onopen();\n",
6181 |        "\n",
6182 |        "    fig.parent_element = element.get(0);\n",
6183 |        "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
6184 |        "    if (!fig.cell_info) {\n",
6185 |        "        console.error(\"Failed to find cell for figure\", id, fig);\n",
6186 |        "        return;\n",
6187 |        "    }\n",
6188 |        "\n",
6189 |        "    var output_index = fig.cell_info[2]\n",
6190 |        "    var cell = fig.cell_info[0];\n",
6191 |        "\n",
6192 |        "};\n",
6193 |        "\n",
6194 |        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
6195 |        "    var width = fig.canvas.width/mpl.ratio\n",
6196 |        "    fig.root.unbind('remove')\n",
6197 |        "\n",
6198 |        "    // Update the output cell to use the data from the current canvas.\n",
6199 |        "    fig.push_to_output();\n",
6200 |        "    var dataURL = fig.canvas.toDataURL();\n",
6201 |        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
6202 |        "    // the notebook keyboard shortcuts fail.\n",
6203 |        "    IPython.keyboard_manager.enable()\n",
6204 |        "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
6205 |        "    fig.close_ws(fig, msg);\n",
6206 |        "}\n",
6207 |        "\n",
6208 |        "mpl.figure.prototype.close_ws = function(fig, msg){\n",
6209 |        "    fig.send_message('closing', msg);\n",
6210 |        "    // fig.ws.close()\n",
6211 |        "}\n",
6212 |        "\n",
6213 |        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
6214 |        "    // Turn the data on the canvas into data in the output cell.\n",
6215 |        "    var width = this.canvas.width/mpl.ratio\n",
6216 |        "    var dataURL = this.canvas.toDataURL();\n",
6217 |        "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
6218 |        "}\n",
6219 |        "\n",
6220 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
6221 |        "    // Tell IPython that the notebook contents must change.\n",
6222 |        "    IPython.notebook.set_dirty(true);\n",
6223 |        "    this.send_message(\"ack\", {});\n",
6224 |        "    var fig = this;\n",
6225 |        "    // Wait a second, then push the new image to the DOM so\n",
6226 |        "    // that it is saved nicely (might be nice to debounce this).\n",
6227 |        "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
6228 |        "}\n",
6229 |        "\n",
6230 |        "mpl.figure.prototype._init_toolbar = function() {\n",
6231 |        "    var fig = this;\n",
6232 |        "\n",
6233 |        "    var nav_element = $('<div/>')\n",
6234 |        "    nav_element.attr('style', 'width: 100%');\n",
6235 |        "    this.root.append(nav_element);\n",
6236 |        "\n",
6237 |        "    // Define a callback function for later on.\n",
6238 |        "    function toolbar_event(event) {\n",
6239 |        "        return fig.toolbar_button_onclick(event['data']);\n",
6240 |        "    }\n",
6241 |        "    function toolbar_mouse_event(event) {\n",
6242 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
6243 |        "    }\n",
6244 |        "\n",
6245 |        "    for(var toolbar_ind in mpl.toolbar_items){\n",
6246 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
6247 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
6248 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
6249 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
6250 |        "\n",
6251 |        "        if (!name) { continue; };\n",
6252 |        "\n",
6253 |        "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
6254 |        "        button.click(method_name, toolbar_event);\n",
6255 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
6256 |        "        nav_element.append(button);\n",
6257 |        "    }\n",
6258 |        "\n",
6259 |        "    // Add the status bar.\n",
6260 |        "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
6261 |        "    nav_element.append(status_bar);\n",
6262 |        "    this.message = status_bar[0];\n",
6263 |        "\n",
6264 |        "    // Add the close button to the window.\n",
6265 |        "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
6266 |        "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
6267 |        "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
6268 |        "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
6269 |        "    buttongrp.append(button);\n",
6270 |        "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
6271 |        "    titlebar.prepend(buttongrp);\n",
6272 |        "}\n",
6273 |        "\n",
6274 |        "mpl.figure.prototype._root_extra_style = function(el){\n",
6275 |        "    var fig = this\n",
6276 |        "    el.on(\"remove\", function(){\n",
6277 |        "\tfig.close_ws(fig, {});\n",
6278 |        "    });\n",
6279 |        "}\n",
6280 |        "\n",
6281 |        "mpl.figure.prototype._canvas_extra_style = function(el){\n",
6282 |        "    // this is important to make the div 'focusable\n",
6283 |        "    el.attr('tabindex', 0)\n",
6284 |        "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
6285 |        "    // off when our div gets focus\n",
6286 |        "\n",
6287 |        "    // location in version 3\n",
6288 |        "    if (IPython.notebook.keyboard_manager) {\n",
6289 |        "        IPython.notebook.keyboard_manager.register_events(el);\n",
6290 |        "    }\n",
6291 |        "    else {\n",
6292 |        "        // location in version 2\n",
6293 |        "        IPython.keyboard_manager.register_events(el);\n",
6294 |        "    }\n",
6295 |        "\n",
6296 |        "}\n",
6297 |        "\n",
6298 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
6299 |        "    var manager = IPython.notebook.keyboard_manager;\n",
6300 |        "    if (!manager)\n",
6301 |        "        manager = IPython.keyboard_manager;\n",
6302 |        "\n",
6303 |        "    // Check for shift+enter\n",
6304 |        "    if (event.shiftKey && event.which == 13) {\n",
6305 |        "        this.canvas_div.blur();\n",
6306 |        "        event.shiftKey = false;\n",
6307 |        "        // Send a \"J\" for go to next cell\n",
6308 |        "        event.which = 74;\n",
6309 |        "        event.keyCode = 74;\n",
6310 |        "        manager.command_mode();\n",
6311 |        "        manager.handle_keydown(event);\n",
6312 |        "    }\n",
6313 |        "}\n",
6314 |        "\n",
6315 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
6316 |        "    fig.ondownload(fig, null);\n",
6317 |        "}\n",
6318 |        "\n",
6319 |        "\n",
6320 |        "mpl.find_output_cell = function(html_output) {\n",
6321 |        "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
6322 |        "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
6323 |        "    // IPython event is triggered only after the cells have been serialised, which for\n",
6324 |        "    // our purposes (turning an active figure into a static one), is too late.\n",
6325 |        "    var cells = IPython.notebook.get_cells();\n",
6326 |        "    var ncells = cells.length;\n",
6327 |        "    for (var i=0; i<ncells; i++) {\n",
6328 |        "        var cell = cells[i];\n",
6329 |        "        if (cell.cell_type === 'code'){\n",
6330 |        "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
6331 |        "                var data = cell.output_area.outputs[j];\n",
6332 |        "                if (data.data) {\n",
6333 |        "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
6334 |        "                    data = data.data;\n",
6335 |        "                }\n",
6336 |        "                if (data['text/html'] == html_output) {\n",
6337 |        "                    return [cell, data, j];\n",
6338 |        "                }\n",
6339 |        "            }\n",
6340 |        "        }\n",
6341 |        "    }\n",
6342 |        "}\n",
6343 |        "\n",
6344 |        "// Register the function which deals with the matplotlib target/channel.\n",
6345 |        "// The kernel may be null if the page has been refreshed.\n",
6346 |        "if (IPython.notebook.kernel != null) {\n",
6347 |        "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
6348 |        "}\n"
6349 |       ],
6350 |       "text/plain": [
6351 |        "<IPython.core.display.Javascript object>"
6352 |       ]
6353 |      },
6354 |      "metadata": {},
6355 |      "output_type": "display_data"
6356 |     },
6357 |     {
6358 |      "data": {
6359 |       "text/html": [
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\" width=\"2160\">"
6361 |       ],
6362 |       "text/plain": [
6363 |        "<IPython.core.display.HTML object>"
6364 |       ]
6365 |      },
6366 |      "metadata": {},
6367 |      "output_type": "display_data"
6368 |     },
6369 |     {
6370 |      "name": "stderr",
6371 |      "output_type": "stream",
6372 |      "text": [
6373 |       "/anaconda3/lib/python3.7/site-packages/matplotlib/figure.py:98: MatplotlibDeprecationWarning: \n",
6374 |       "Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n",
6375 |       "  \"Adding an axes using the same arguments as a previous axes \"\n",
6376 |       "/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py:4238: SettingWithCopyWarning: \n",
6377 |       "A value is trying to be set on a copy of a slice from a DataFrame\n",
6378 |       "\n",
6379 |       "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
6380 |       "  return super().rename(**kwargs)\n"
6381 |      ]
6382 |     },
6383 |     {
6384 |      "data": {
6385 |       "application/javascript": [
6386 |        "/* Put everything inside the global mpl namespace */\n",
6387 |        "window.mpl = {};\n",
6388 |        "\n",
6389 |        "\n",
6390 |        "mpl.get_websocket_type = function() {\n",
6391 |        "    if (typeof(WebSocket) !== 'undefined') {\n",
6392 |        "        return WebSocket;\n",
6393 |        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
6394 |        "        return MozWebSocket;\n",
6395 |        "    } else {\n",
6396 |        "        alert('Your browser does not have WebSocket support.' +\n",
6397 |        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
6398 |        "              'Firefox 4 and 5 are also supported but you ' +\n",
6399 |        "              'have to enable WebSockets in about:config.');\n",
6400 |        "    };\n",
6401 |        "}\n",
6402 |        "\n",
6403 |        "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
6404 |        "    this.id = figure_id;\n",
6405 |        "\n",
6406 |        "    this.ws = websocket;\n",
6407 |        "\n",
6408 |        "    this.supports_binary = (this.ws.binaryType != undefined);\n",
6409 |        "\n",
6410 |        "    if (!this.supports_binary) {\n",
6411 |        "        var warnings = document.getElementById(\"mpl-warnings\");\n",
6412 |        "        if (warnings) {\n",
6413 |        "            warnings.style.display = 'block';\n",
6414 |        "            warnings.textContent = (\n",
6415 |        "                \"This browser does not support binary websocket messages. \" +\n",
6416 |        "                    \"Performance may be slow.\");\n",
6417 |        "        }\n",
6418 |        "    }\n",
6419 |        "\n",
6420 |        "    this.imageObj = new Image();\n",
6421 |        "\n",
6422 |        "    this.context = undefined;\n",
6423 |        "    this.message = undefined;\n",
6424 |        "    this.canvas = undefined;\n",
6425 |        "    this.rubberband_canvas = undefined;\n",
6426 |        "    this.rubberband_context = undefined;\n",
6427 |        "    this.format_dropdown = undefined;\n",
6428 |        "\n",
6429 |        "    this.image_mode = 'full';\n",
6430 |        "\n",
6431 |        "    this.root = $('<div/>');\n",
6432 |        "    this._root_extra_style(this.root)\n",
6433 |        "    this.root.attr('style', 'display: inline-block');\n",
6434 |        "\n",
6435 |        "    $(parent_element).append(this.root);\n",
6436 |        "\n",
6437 |        "    this._init_header(this);\n",
6438 |        "    this._init_canvas(this);\n",
6439 |        "    this._init_toolbar(this);\n",
6440 |        "\n",
6441 |        "    var fig = this;\n",
6442 |        "\n",
6443 |        "    this.waiting = false;\n",
6444 |        "\n",
6445 |        "    this.ws.onopen =  function () {\n",
6446 |        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
6447 |        "            fig.send_message(\"send_image_mode\", {});\n",
6448 |        "            if (mpl.ratio != 1) {\n",
6449 |        "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
6450 |        "            }\n",
6451 |        "            fig.send_message(\"refresh\", {});\n",
6452 |        "        }\n",
6453 |        "\n",
6454 |        "    this.imageObj.onload = function() {\n",
6455 |        "            if (fig.image_mode == 'full') {\n",
6456 |        "                // Full images could contain transparency (where diff images\n",
6457 |        "                // almost always do), so we need to clear the canvas so that\n",
6458 |        "                // there is no ghosting.\n",
6459 |        "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
6460 |        "            }\n",
6461 |        "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
6462 |        "        };\n",
6463 |        "\n",
6464 |        "    this.imageObj.onunload = function() {\n",
6465 |        "        fig.ws.close();\n",
6466 |        "    }\n",
6467 |        "\n",
6468 |        "    this.ws.onmessage = this._make_on_message_function(this);\n",
6469 |        "\n",
6470 |        "    this.ondownload = ondownload;\n",
6471 |        "}\n",
6472 |        "\n",
6473 |        "mpl.figure.prototype._init_header = function() {\n",
6474 |        "    var titlebar = $(\n",
6475 |        "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
6476 |        "        'ui-helper-clearfix\"/>');\n",
6477 |        "    var titletext = $(\n",
6478 |        "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
6479 |        "        'text-align: center; padding: 3px;\"/>');\n",
6480 |        "    titlebar.append(titletext)\n",
6481 |        "    this.root.append(titlebar);\n",
6482 |        "    this.header = titletext[0];\n",
6483 |        "}\n",
6484 |        "\n",
6485 |        "\n",
6486 |        "\n",
6487 |        "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
6488 |        "\n",
6489 |        "}\n",
6490 |        "\n",
6491 |        "\n",
6492 |        "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
6493 |        "\n",
6494 |        "}\n",
6495 |        "\n",
6496 |        "mpl.figure.prototype._init_canvas = function() {\n",
6497 |        "    var fig = this;\n",
6498 |        "\n",
6499 |        "    var canvas_div = $('<div/>');\n",
6500 |        "\n",
6501 |        "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
6502 |        "\n",
6503 |        "    function canvas_keyboard_event(event) {\n",
6504 |        "        return fig.key_event(event, event['data']);\n",
6505 |        "    }\n",
6506 |        "\n",
6507 |        "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
6508 |        "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
6509 |        "    this.canvas_div = canvas_div\n",
6510 |        "    this._canvas_extra_style(canvas_div)\n",
6511 |        "    this.root.append(canvas_div);\n",
6512 |        "\n",
6513 |        "    var canvas = $('<canvas/>');\n",
6514 |        "    canvas.addClass('mpl-canvas');\n",
6515 |        "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
6516 |        "\n",
6517 |        "    this.canvas = canvas[0];\n",
6518 |        "    this.context = canvas[0].getContext(\"2d\");\n",
6519 |        "\n",
6520 |        "    var backingStore = this.context.backingStorePixelRatio ||\n",
6521 |        "\tthis.context.webkitBackingStorePixelRatio ||\n",
6522 |        "\tthis.context.mozBackingStorePixelRatio ||\n",
6523 |        "\tthis.context.msBackingStorePixelRatio ||\n",
6524 |        "\tthis.context.oBackingStorePixelRatio ||\n",
6525 |        "\tthis.context.backingStorePixelRatio || 1;\n",
6526 |        "\n",
6527 |        "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
6528 |        "\n",
6529 |        "    var rubberband = $('<canvas/>');\n",
6530 |        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
6531 |        "\n",
6532 |        "    var pass_mouse_events = true;\n",
6533 |        "\n",
6534 |        "    canvas_div.resizable({\n",
6535 |        "        start: function(event, ui) {\n",
6536 |        "            pass_mouse_events = false;\n",
6537 |        "        },\n",
6538 |        "        resize: function(event, ui) {\n",
6539 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
6540 |        "        },\n",
6541 |        "        stop: function(event, ui) {\n",
6542 |        "            pass_mouse_events = true;\n",
6543 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
6544 |        "        },\n",
6545 |        "    });\n",
6546 |        "\n",
6547 |        "    function mouse_event_fn(event) {\n",
6548 |        "        if (pass_mouse_events)\n",
6549 |        "            return fig.mouse_event(event, event['data']);\n",
6550 |        "    }\n",
6551 |        "\n",
6552 |        "    rubberband.mousedown('button_press', mouse_event_fn);\n",
6553 |        "    rubberband.mouseup('button_release', mouse_event_fn);\n",
6554 |        "    // Throttle sequential mouse events to 1 every 20ms.\n",
6555 |        "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
6556 |        "\n",
6557 |        "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
6558 |        "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
6559 |        "\n",
6560 |        "    canvas_div.on(\"wheel\", function (event) {\n",
6561 |        "        event = event.originalEvent;\n",
6562 |        "        event['data'] = 'scroll'\n",
6563 |        "        if (event.deltaY < 0) {\n",
6564 |        "            event.step = 1;\n",
6565 |        "        } else {\n",
6566 |        "            event.step = -1;\n",
6567 |        "        }\n",
6568 |        "        mouse_event_fn(event);\n",
6569 |        "    });\n",
6570 |        "\n",
6571 |        "    canvas_div.append(canvas);\n",
6572 |        "    canvas_div.append(rubberband);\n",
6573 |        "\n",
6574 |        "    this.rubberband = rubberband;\n",
6575 |        "    this.rubberband_canvas = rubberband[0];\n",
6576 |        "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
6577 |        "    this.rubberband_context.strokeStyle = \"#000000\";\n",
6578 |        "\n",
6579 |        "    this._resize_canvas = function(width, height) {\n",
6580 |        "        // Keep the size of the canvas, canvas container, and rubber band\n",
6581 |        "        // canvas in synch.\n",
6582 |        "        canvas_div.css('width', width)\n",
6583 |        "        canvas_div.css('height', height)\n",
6584 |        "\n",
6585 |        "        canvas.attr('width', width * mpl.ratio);\n",
6586 |        "        canvas.attr('height', height * mpl.ratio);\n",
6587 |        "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
6588 |        "\n",
6589 |        "        rubberband.attr('width', width);\n",
6590 |        "        rubberband.attr('height', height);\n",
6591 |        "    }\n",
6592 |        "\n",
6593 |        "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
6594 |        "    // upon first draw.\n",
6595 |        "    this._resize_canvas(600, 600);\n",
6596 |        "\n",
6597 |        "    // Disable right mouse context menu.\n",
6598 |        "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
6599 |        "        return false;\n",
6600 |        "    });\n",
6601 |        "\n",
6602 |        "    function set_focus () {\n",
6603 |        "        canvas.focus();\n",
6604 |        "        canvas_div.focus();\n",
6605 |        "    }\n",
6606 |        "\n",
6607 |        "    window.setTimeout(set_focus, 100);\n",
6608 |        "}\n",
6609 |        "\n",
6610 |        "mpl.figure.prototype._init_toolbar = function() {\n",
6611 |        "    var fig = this;\n",
6612 |        "\n",
6613 |        "    var nav_element = $('<div/>')\n",
6614 |        "    nav_element.attr('style', 'width: 100%');\n",
6615 |        "    this.root.append(nav_element);\n",
6616 |        "\n",
6617 |        "    // Define a callback function for later on.\n",
6618 |        "    function toolbar_event(event) {\n",
6619 |        "        return fig.toolbar_button_onclick(event['data']);\n",
6620 |        "    }\n",
6621 |        "    function toolbar_mouse_event(event) {\n",
6622 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
6623 |        "    }\n",
6624 |        "\n",
6625 |        "    for(var toolbar_ind in mpl.toolbar_items) {\n",
6626 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
6627 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
6628 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
6629 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
6630 |        "\n",
6631 |        "        if (!name) {\n",
6632 |        "            // put a spacer in here.\n",
6633 |        "            continue;\n",
6634 |        "        }\n",
6635 |        "        var button = $('<button/>');\n",
6636 |        "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
6637 |        "                        'ui-button-icon-only');\n",
6638 |        "        button.attr('role', 'button');\n",
6639 |        "        button.attr('aria-disabled', 'false');\n",
6640 |        "        button.click(method_name, toolbar_event);\n",
6641 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
6642 |        "\n",
6643 |        "        var icon_img = $('<span/>');\n",
6644 |        "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
6645 |        "        icon_img.addClass(image);\n",
6646 |        "        icon_img.addClass('ui-corner-all');\n",
6647 |        "\n",
6648 |        "        var tooltip_span = $('<span/>');\n",
6649 |        "        tooltip_span.addClass('ui-button-text');\n",
6650 |        "        tooltip_span.html(tooltip);\n",
6651 |        "\n",
6652 |        "        button.append(icon_img);\n",
6653 |        "        button.append(tooltip_span);\n",
6654 |        "\n",
6655 |        "        nav_element.append(button);\n",
6656 |        "    }\n",
6657 |        "\n",
6658 |        "    var fmt_picker_span = $('<span/>');\n",
6659 |        "\n",
6660 |        "    var fmt_picker = $('<select/>');\n",
6661 |        "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
6662 |        "    fmt_picker_span.append(fmt_picker);\n",
6663 |        "    nav_element.append(fmt_picker_span);\n",
6664 |        "    this.format_dropdown = fmt_picker[0];\n",
6665 |        "\n",
6666 |        "    for (var ind in mpl.extensions) {\n",
6667 |        "        var fmt = mpl.extensions[ind];\n",
6668 |        "        var option = $(\n",
6669 |        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
6670 |        "        fmt_picker.append(option)\n",
6671 |        "    }\n",
6672 |        "\n",
6673 |        "    // Add hover states to the ui-buttons\n",
6674 |        "    $( \".ui-button\" ).hover(\n",
6675 |        "        function() { $(this).addClass(\"ui-state-hover\");},\n",
6676 |        "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
6677 |        "    );\n",
6678 |        "\n",
6679 |        "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
6680 |        "    nav_element.append(status_bar);\n",
6681 |        "    this.message = status_bar[0];\n",
6682 |        "}\n",
6683 |        "\n",
6684 |        "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
6685 |        "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
6686 |        "    // which will in turn request a refresh of the image.\n",
6687 |        "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
6688 |        "}\n",
6689 |        "\n",
6690 |        "mpl.figure.prototype.send_message = function(type, properties) {\n",
6691 |        "    properties['type'] = type;\n",
6692 |        "    properties['figure_id'] = this.id;\n",
6693 |        "    this.ws.send(JSON.stringify(properties));\n",
6694 |        "}\n",
6695 |        "\n",
6696 |        "mpl.figure.prototype.send_draw_message = function() {\n",
6697 |        "    if (!this.waiting) {\n",
6698 |        "        this.waiting = true;\n",
6699 |        "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
6700 |        "    }\n",
6701 |        "}\n",
6702 |        "\n",
6703 |        "\n",
6704 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
6705 |        "    var format_dropdown = fig.format_dropdown;\n",
6706 |        "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
6707 |        "    fig.ondownload(fig, format);\n",
6708 |        "}\n",
6709 |        "\n",
6710 |        "\n",
6711 |        "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
6712 |        "    var size = msg['size'];\n",
6713 |        "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
6714 |        "        fig._resize_canvas(size[0], size[1]);\n",
6715 |        "        fig.send_message(\"refresh\", {});\n",
6716 |        "    };\n",
6717 |        "}\n",
6718 |        "\n",
6719 |        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
6720 |        "    var x0 = msg['x0'] / mpl.ratio;\n",
6721 |        "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
6722 |        "    var x1 = msg['x1'] / mpl.ratio;\n",
6723 |        "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
6724 |        "    x0 = Math.floor(x0) + 0.5;\n",
6725 |        "    y0 = Math.floor(y0) + 0.5;\n",
6726 |        "    x1 = Math.floor(x1) + 0.5;\n",
6727 |        "    y1 = Math.floor(y1) + 0.5;\n",
6728 |        "    var min_x = Math.min(x0, x1);\n",
6729 |        "    var min_y = Math.min(y0, y1);\n",
6730 |        "    var width = Math.abs(x1 - x0);\n",
6731 |        "    var height = Math.abs(y1 - y0);\n",
6732 |        "\n",
6733 |        "    fig.rubberband_context.clearRect(\n",
6734 |        "        0, 0, fig.canvas.width, fig.canvas.height);\n",
6735 |        "\n",
6736 |        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
6737 |        "}\n",
6738 |        "\n",
6739 |        "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
6740 |        "    // Updates the figure title.\n",
6741 |        "    fig.header.textContent = msg['label'];\n",
6742 |        "}\n",
6743 |        "\n",
6744 |        "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
6745 |        "    var cursor = msg['cursor'];\n",
6746 |        "    switch(cursor)\n",
6747 |        "    {\n",
6748 |        "    case 0:\n",
6749 |        "        cursor = 'pointer';\n",
6750 |        "        break;\n",
6751 |        "    case 1:\n",
6752 |        "        cursor = 'default';\n",
6753 |        "        break;\n",
6754 |        "    case 2:\n",
6755 |        "        cursor = 'crosshair';\n",
6756 |        "        break;\n",
6757 |        "    case 3:\n",
6758 |        "        cursor = 'move';\n",
6759 |        "        break;\n",
6760 |        "    }\n",
6761 |        "    fig.rubberband_canvas.style.cursor = cursor;\n",
6762 |        "}\n",
6763 |        "\n",
6764 |        "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
6765 |        "    fig.message.textContent = msg['message'];\n",
6766 |        "}\n",
6767 |        "\n",
6768 |        "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
6769 |        "    // Request the server to send over a new figure.\n",
6770 |        "    fig.send_draw_message();\n",
6771 |        "}\n",
6772 |        "\n",
6773 |        "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
6774 |        "    fig.image_mode = msg['mode'];\n",
6775 |        "}\n",
6776 |        "\n",
6777 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
6778 |        "    // Called whenever the canvas gets updated.\n",
6779 |        "    this.send_message(\"ack\", {});\n",
6780 |        "}\n",
6781 |        "\n",
6782 |        "// A function to construct a web socket function for onmessage handling.\n",
6783 |        "// Called in the figure constructor.\n",
6784 |        "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
6785 |        "    return function socket_on_message(evt) {\n",
6786 |        "        if (evt.data instanceof Blob) {\n",
6787 |        "            /* FIXME: We get \"Resource interpreted as Image but\n",
6788 |        "             * transferred with MIME type text/plain:\" errors on\n",
6789 |        "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
6790 |        "             * to be part of the websocket stream */\n",
6791 |        "            evt.data.type = \"image/png\";\n",
6792 |        "\n",
6793 |        "            /* Free the memory for the previous frames */\n",
6794 |        "            if (fig.imageObj.src) {\n",
6795 |        "                (window.URL || window.webkitURL).revokeObjectURL(\n",
6796 |        "                    fig.imageObj.src);\n",
6797 |        "            }\n",
6798 |        "\n",
6799 |        "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
6800 |        "                evt.data);\n",
6801 |        "            fig.updated_canvas_event();\n",
6802 |        "            fig.waiting = false;\n",
6803 |        "            return;\n",
6804 |        "        }\n",
6805 |        "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
6806 |        "            fig.imageObj.src = evt.data;\n",
6807 |        "            fig.updated_canvas_event();\n",
6808 |        "            fig.waiting = false;\n",
6809 |        "            return;\n",
6810 |        "        }\n",
6811 |        "\n",
6812 |        "        var msg = JSON.parse(evt.data);\n",
6813 |        "        var msg_type = msg['type'];\n",
6814 |        "\n",
6815 |        "        // Call the  \"handle_{type}\" callback, which takes\n",
6816 |        "        // the figure and JSON message as its only arguments.\n",
6817 |        "        try {\n",
6818 |        "            var callback = fig[\"handle_\" + msg_type];\n",
6819 |        "        } catch (e) {\n",
6820 |        "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
6821 |        "            return;\n",
6822 |        "        }\n",
6823 |        "\n",
6824 |        "        if (callback) {\n",
6825 |        "            try {\n",
6826 |        "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
6827 |        "                callback(fig, msg);\n",
6828 |        "            } catch (e) {\n",
6829 |        "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
6830 |        "            }\n",
6831 |        "        }\n",
6832 |        "    };\n",
6833 |        "}\n",
6834 |        "\n",
6835 |        "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
6836 |        "mpl.findpos = function(e) {\n",
6837 |        "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
6838 |        "    var targ;\n",
6839 |        "    if (!e)\n",
6840 |        "        e = window.event;\n",
6841 |        "    if (e.target)\n",
6842 |        "        targ = e.target;\n",
6843 |        "    else if (e.srcElement)\n",
6844 |        "        targ = e.srcElement;\n",
6845 |        "    if (targ.nodeType == 3) // defeat Safari bug\n",
6846 |        "        targ = targ.parentNode;\n",
6847 |        "\n",
6848 |        "    // jQuery normalizes the pageX and pageY\n",
6849 |        "    // pageX,Y are the mouse positions relative to the document\n",
6850 |        "    // offset() returns the position of the element relative to the document\n",
6851 |        "    var x = e.pageX - $(targ).offset().left;\n",
6852 |        "    var y = e.pageY - $(targ).offset().top;\n",
6853 |        "\n",
6854 |        "    return {\"x\": x, \"y\": y};\n",
6855 |        "};\n",
6856 |        "\n",
6857 |        "/*\n",
6858 |        " * return a copy of an object with only non-object keys\n",
6859 |        " * we need this to avoid circular references\n",
6860 |        " * http://stackoverflow.com/a/24161582/3208463\n",
6861 |        " */\n",
6862 |        "function simpleKeys (original) {\n",
6863 |        "  return Object.keys(original).reduce(function (obj, key) {\n",
6864 |        "    if (typeof original[key] !== 'object')\n",
6865 |        "        obj[key] = original[key]\n",
6866 |        "    return obj;\n",
6867 |        "  }, {});\n",
6868 |        "}\n",
6869 |        "\n",
6870 |        "mpl.figure.prototype.mouse_event = function(event, name) {\n",
6871 |        "    var canvas_pos = mpl.findpos(event)\n",
6872 |        "\n",
6873 |        "    if (name === 'button_press')\n",
6874 |        "    {\n",
6875 |        "        this.canvas.focus();\n",
6876 |        "        this.canvas_div.focus();\n",
6877 |        "    }\n",
6878 |        "\n",
6879 |        "    var x = canvas_pos.x * mpl.ratio;\n",
6880 |        "    var y = canvas_pos.y * mpl.ratio;\n",
6881 |        "\n",
6882 |        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
6883 |        "                             step: event.step,\n",
6884 |        "                             guiEvent: simpleKeys(event)});\n",
6885 |        "\n",
6886 |        "    /* This prevents the web browser from automatically changing to\n",
6887 |        "     * the text insertion cursor when the button is pressed.  We want\n",
6888 |        "     * to control all of the cursor setting manually through the\n",
6889 |        "     * 'cursor' event from matplotlib */\n",
6890 |        "    event.preventDefault();\n",
6891 |        "    return false;\n",
6892 |        "}\n",
6893 |        "\n",
6894 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
6895 |        "    // Handle any extra behaviour associated with a key event\n",
6896 |        "}\n",
6897 |        "\n",
6898 |        "mpl.figure.prototype.key_event = function(event, name) {\n",
6899 |        "\n",
6900 |        "    // Prevent repeat events\n",
6901 |        "    if (name == 'key_press')\n",
6902 |        "    {\n",
6903 |        "        if (event.which === this._key)\n",
6904 |        "            return;\n",
6905 |        "        else\n",
6906 |        "            this._key = event.which;\n",
6907 |        "    }\n",
6908 |        "    if (name == 'key_release')\n",
6909 |        "        this._key = null;\n",
6910 |        "\n",
6911 |        "    var value = '';\n",
6912 |        "    if (event.ctrlKey && event.which != 17)\n",
6913 |        "        value += \"ctrl+\";\n",
6914 |        "    if (event.altKey && event.which != 18)\n",
6915 |        "        value += \"alt+\";\n",
6916 |        "    if (event.shiftKey && event.which != 16)\n",
6917 |        "        value += \"shift+\";\n",
6918 |        "\n",
6919 |        "    value += 'k';\n",
6920 |        "    value += event.which.toString();\n",
6921 |        "\n",
6922 |        "    this._key_event_extra(event, name);\n",
6923 |        "\n",
6924 |        "    this.send_message(name, {key: value,\n",
6925 |        "                             guiEvent: simpleKeys(event)});\n",
6926 |        "    return false;\n",
6927 |        "}\n",
6928 |        "\n",
6929 |        "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
6930 |        "    if (name == 'download') {\n",
6931 |        "        this.handle_save(this, null);\n",
6932 |        "    } else {\n",
6933 |        "        this.send_message(\"toolbar_button\", {name: name});\n",
6934 |        "    }\n",
6935 |        "};\n",
6936 |        "\n",
6937 |        "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
6938 |        "    this.message.textContent = tooltip;\n",
6939 |        "};\n",
6940 |        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
6941 |        "\n",
6942 |        "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
6943 |        "\n",
6944 |        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
6945 |        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
6946 |        "    // object with the appropriate methods. Currently this is a non binary\n",
6947 |        "    // socket, so there is still some room for performance tuning.\n",
6948 |        "    var ws = {};\n",
6949 |        "\n",
6950 |        "    ws.close = function() {\n",
6951 |        "        comm.close()\n",
6952 |        "    };\n",
6953 |        "    ws.send = function(m) {\n",
6954 |        "        //console.log('sending', m);\n",
6955 |        "        comm.send(m);\n",
6956 |        "    };\n",
6957 |        "    // Register the callback with on_msg.\n",
6958 |        "    comm.on_msg(function(msg) {\n",
6959 |        "        //console.log('receiving', msg['content']['data'], msg);\n",
6960 |        "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
6961 |        "        ws.onmessage(msg['content']['data'])\n",
6962 |        "    });\n",
6963 |        "    return ws;\n",
6964 |        "}\n",
6965 |        "\n",
6966 |        "mpl.mpl_figure_comm = function(comm, msg) {\n",
6967 |        "    // This is the function which gets called when the mpl process\n",
6968 |        "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
6969 |        "\n",
6970 |        "    var id = msg.content.data.id;\n",
6971 |        "    // Get hold of the div created by the display call when the Comm\n",
6972 |        "    // socket was opened in Python.\n",
6973 |        "    var element = $(\"#\" + id);\n",
6974 |        "    var ws_proxy = comm_websocket_adapter(comm)\n",
6975 |        "\n",
6976 |        "    function ondownload(figure, format) {\n",
6977 |        "        window.open(figure.imageObj.src);\n",
6978 |        "    }\n",
6979 |        "\n",
6980 |        "    var fig = new mpl.figure(id, ws_proxy,\n",
6981 |        "                           ondownload,\n",
6982 |        "                           element.get(0));\n",
6983 |        "\n",
6984 |        "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
6985 |        "    // web socket which is closed, not our websocket->open comm proxy.\n",
6986 |        "    ws_proxy.onopen();\n",
6987 |        "\n",
6988 |        "    fig.parent_element = element.get(0);\n",
6989 |        "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
6990 |        "    if (!fig.cell_info) {\n",
6991 |        "        console.error(\"Failed to find cell for figure\", id, fig);\n",
6992 |        "        return;\n",
6993 |        "    }\n",
6994 |        "\n",
6995 |        "    var output_index = fig.cell_info[2]\n",
6996 |        "    var cell = fig.cell_info[0];\n",
6997 |        "\n",
6998 |        "};\n",
6999 |        "\n",
7000 |        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
7001 |        "    var width = fig.canvas.width/mpl.ratio\n",
7002 |        "    fig.root.unbind('remove')\n",
7003 |        "\n",
7004 |        "    // Update the output cell to use the data from the current canvas.\n",
7005 |        "    fig.push_to_output();\n",
7006 |        "    var dataURL = fig.canvas.toDataURL();\n",
7007 |        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
7008 |        "    // the notebook keyboard shortcuts fail.\n",
7009 |        "    IPython.keyboard_manager.enable()\n",
7010 |        "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
7011 |        "    fig.close_ws(fig, msg);\n",
7012 |        "}\n",
7013 |        "\n",
7014 |        "mpl.figure.prototype.close_ws = function(fig, msg){\n",
7015 |        "    fig.send_message('closing', msg);\n",
7016 |        "    // fig.ws.close()\n",
7017 |        "}\n",
7018 |        "\n",
7019 |        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
7020 |        "    // Turn the data on the canvas into data in the output cell.\n",
7021 |        "    var width = this.canvas.width/mpl.ratio\n",
7022 |        "    var dataURL = this.canvas.toDataURL();\n",
7023 |        "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
7024 |        "}\n",
7025 |        "\n",
7026 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
7027 |        "    // Tell IPython that the notebook contents must change.\n",
7028 |        "    IPython.notebook.set_dirty(true);\n",
7029 |        "    this.send_message(\"ack\", {});\n",
7030 |        "    var fig = this;\n",
7031 |        "    // Wait a second, then push the new image to the DOM so\n",
7032 |        "    // that it is saved nicely (might be nice to debounce this).\n",
7033 |        "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
7034 |        "}\n",
7035 |        "\n",
7036 |        "mpl.figure.prototype._init_toolbar = function() {\n",
7037 |        "    var fig = this;\n",
7038 |        "\n",
7039 |        "    var nav_element = $('<div/>')\n",
7040 |        "    nav_element.attr('style', 'width: 100%');\n",
7041 |        "    this.root.append(nav_element);\n",
7042 |        "\n",
7043 |        "    // Define a callback function for later on.\n",
7044 |        "    function toolbar_event(event) {\n",
7045 |        "        return fig.toolbar_button_onclick(event['data']);\n",
7046 |        "    }\n",
7047 |        "    function toolbar_mouse_event(event) {\n",
7048 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
7049 |        "    }\n",
7050 |        "\n",
7051 |        "    for(var toolbar_ind in mpl.toolbar_items){\n",
7052 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
7053 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
7054 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
7055 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
7056 |        "\n",
7057 |        "        if (!name) { continue; };\n",
7058 |        "\n",
7059 |        "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
7060 |        "        button.click(method_name, toolbar_event);\n",
7061 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
7062 |        "        nav_element.append(button);\n",
7063 |        "    }\n",
7064 |        "\n",
7065 |        "    // Add the status bar.\n",
7066 |        "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
7067 |        "    nav_element.append(status_bar);\n",
7068 |        "    this.message = status_bar[0];\n",
7069 |        "\n",
7070 |        "    // Add the close button to the window.\n",
7071 |        "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
7072 |        "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
7073 |        "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
7074 |        "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
7075 |        "    buttongrp.append(button);\n",
7076 |        "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
7077 |        "    titlebar.prepend(buttongrp);\n",
7078 |        "}\n",
7079 |        "\n",
7080 |        "mpl.figure.prototype._root_extra_style = function(el){\n",
7081 |        "    var fig = this\n",
7082 |        "    el.on(\"remove\", function(){\n",
7083 |        "\tfig.close_ws(fig, {});\n",
7084 |        "    });\n",
7085 |        "}\n",
7086 |        "\n",
7087 |        "mpl.figure.prototype._canvas_extra_style = function(el){\n",
7088 |        "    // this is important to make the div 'focusable\n",
7089 |        "    el.attr('tabindex', 0)\n",
7090 |        "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
7091 |        "    // off when our div gets focus\n",
7092 |        "\n",
7093 |        "    // location in version 3\n",
7094 |        "    if (IPython.notebook.keyboard_manager) {\n",
7095 |        "        IPython.notebook.keyboard_manager.register_events(el);\n",
7096 |        "    }\n",
7097 |        "    else {\n",
7098 |        "        // location in version 2\n",
7099 |        "        IPython.keyboard_manager.register_events(el);\n",
7100 |        "    }\n",
7101 |        "\n",
7102 |        "}\n",
7103 |        "\n",
7104 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
7105 |        "    var manager = IPython.notebook.keyboard_manager;\n",
7106 |        "    if (!manager)\n",
7107 |        "        manager = IPython.keyboard_manager;\n",
7108 |        "\n",
7109 |        "    // Check for shift+enter\n",
7110 |        "    if (event.shiftKey && event.which == 13) {\n",
7111 |        "        this.canvas_div.blur();\n",
7112 |        "        event.shiftKey = false;\n",
7113 |        "        // Send a \"J\" for go to next cell\n",
7114 |        "        event.which = 74;\n",
7115 |        "        event.keyCode = 74;\n",
7116 |        "        manager.command_mode();\n",
7117 |        "        manager.handle_keydown(event);\n",
7118 |        "    }\n",
7119 |        "}\n",
7120 |        "\n",
7121 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
7122 |        "    fig.ondownload(fig, null);\n",
7123 |        "}\n",
7124 |        "\n",
7125 |        "\n",
7126 |        "mpl.find_output_cell = function(html_output) {\n",
7127 |        "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
7128 |        "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
7129 |        "    // IPython event is triggered only after the cells have been serialised, which for\n",
7130 |        "    // our purposes (turning an active figure into a static one), is too late.\n",
7131 |        "    var cells = IPython.notebook.get_cells();\n",
7132 |        "    var ncells = cells.length;\n",
7133 |        "    for (var i=0; i<ncells; i++) {\n",
7134 |        "        var cell = cells[i];\n",
7135 |        "        if (cell.cell_type === 'code'){\n",
7136 |        "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
7137 |        "                var data = cell.output_area.outputs[j];\n",
7138 |        "                if (data.data) {\n",
7139 |        "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
7140 |        "                    data = data.data;\n",
7141 |        "                }\n",
7142 |        "                if (data['text/html'] == html_output) {\n",
7143 |        "                    return [cell, data, j];\n",
7144 |        "                }\n",
7145 |        "            }\n",
7146 |        "        }\n",
7147 |        "    }\n",
7148 |        "}\n",
7149 |        "\n",
7150 |        "// Register the function which deals with the matplotlib target/channel.\n",
7151 |        "// The kernel may be null if the page has been refreshed.\n",
7152 |        "if (IPython.notebook.kernel != null) {\n",
7153 |        "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
7154 |        "}\n"
7155 |       ],
7156 |       "text/plain": [
7157 |        "<IPython.core.display.Javascript object>"
7158 |       ]
7159 |      },
7160 |      "metadata": {},
7161 |      "output_type": "display_data"
7162 |     },
7163 |     {
7164 |      "data": {
7165 |       "text/html": [
7166 |        "<img 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\" width=\"2160\">"
7167 |       ],
7168 |       "text/plain": [
7169 |        "<IPython.core.display.HTML object>"
7170 |       ]
7171 |      },
7172 |      "metadata": {},
7173 |      "output_type": "display_data"
7174 |     },
7175 |     {
7176 |      "name": "stderr",
7177 |      "output_type": "stream",
7178 |      "text": [
7179 |       "/anaconda3/lib/python3.7/site-packages/matplotlib/figure.py:98: MatplotlibDeprecationWarning: \n",
7180 |       "Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n",
7181 |       "  \"Adding an axes using the same arguments as a previous axes \"\n",
7182 |       "/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py:4238: SettingWithCopyWarning: \n",
7183 |       "A value is trying to be set on a copy of a slice from a DataFrame\n",
7184 |       "\n",
7185 |       "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
7186 |       "  return super().rename(**kwargs)\n"
7187 |      ]
7188 |     },
7189 |     {
7190 |      "data": {
7191 |       "application/javascript": [
7192 |        "/* Put everything inside the global mpl namespace */\n",
7193 |        "window.mpl = {};\n",
7194 |        "\n",
7195 |        "\n",
7196 |        "mpl.get_websocket_type = function() {\n",
7197 |        "    if (typeof(WebSocket) !== 'undefined') {\n",
7198 |        "        return WebSocket;\n",
7199 |        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
7200 |        "        return MozWebSocket;\n",
7201 |        "    } else {\n",
7202 |        "        alert('Your browser does not have WebSocket support.' +\n",
7203 |        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
7204 |        "              'Firefox 4 and 5 are also supported but you ' +\n",
7205 |        "              'have to enable WebSockets in about:config.');\n",
7206 |        "    };\n",
7207 |        "}\n",
7208 |        "\n",
7209 |        "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
7210 |        "    this.id = figure_id;\n",
7211 |        "\n",
7212 |        "    this.ws = websocket;\n",
7213 |        "\n",
7214 |        "    this.supports_binary = (this.ws.binaryType != undefined);\n",
7215 |        "\n",
7216 |        "    if (!this.supports_binary) {\n",
7217 |        "        var warnings = document.getElementById(\"mpl-warnings\");\n",
7218 |        "        if (warnings) {\n",
7219 |        "            warnings.style.display = 'block';\n",
7220 |        "            warnings.textContent = (\n",
7221 |        "                \"This browser does not support binary websocket messages. \" +\n",
7222 |        "                    \"Performance may be slow.\");\n",
7223 |        "        }\n",
7224 |        "    }\n",
7225 |        "\n",
7226 |        "    this.imageObj = new Image();\n",
7227 |        "\n",
7228 |        "    this.context = undefined;\n",
7229 |        "    this.message = undefined;\n",
7230 |        "    this.canvas = undefined;\n",
7231 |        "    this.rubberband_canvas = undefined;\n",
7232 |        "    this.rubberband_context = undefined;\n",
7233 |        "    this.format_dropdown = undefined;\n",
7234 |        "\n",
7235 |        "    this.image_mode = 'full';\n",
7236 |        "\n",
7237 |        "    this.root = $('<div/>');\n",
7238 |        "    this._root_extra_style(this.root)\n",
7239 |        "    this.root.attr('style', 'display: inline-block');\n",
7240 |        "\n",
7241 |        "    $(parent_element).append(this.root);\n",
7242 |        "\n",
7243 |        "    this._init_header(this);\n",
7244 |        "    this._init_canvas(this);\n",
7245 |        "    this._init_toolbar(this);\n",
7246 |        "\n",
7247 |        "    var fig = this;\n",
7248 |        "\n",
7249 |        "    this.waiting = false;\n",
7250 |        "\n",
7251 |        "    this.ws.onopen =  function () {\n",
7252 |        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
7253 |        "            fig.send_message(\"send_image_mode\", {});\n",
7254 |        "            if (mpl.ratio != 1) {\n",
7255 |        "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
7256 |        "            }\n",
7257 |        "            fig.send_message(\"refresh\", {});\n",
7258 |        "        }\n",
7259 |        "\n",
7260 |        "    this.imageObj.onload = function() {\n",
7261 |        "            if (fig.image_mode == 'full') {\n",
7262 |        "                // Full images could contain transparency (where diff images\n",
7263 |        "                // almost always do), so we need to clear the canvas so that\n",
7264 |        "                // there is no ghosting.\n",
7265 |        "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
7266 |        "            }\n",
7267 |        "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
7268 |        "        };\n",
7269 |        "\n",
7270 |        "    this.imageObj.onunload = function() {\n",
7271 |        "        fig.ws.close();\n",
7272 |        "    }\n",
7273 |        "\n",
7274 |        "    this.ws.onmessage = this._make_on_message_function(this);\n",
7275 |        "\n",
7276 |        "    this.ondownload = ondownload;\n",
7277 |        "}\n",
7278 |        "\n",
7279 |        "mpl.figure.prototype._init_header = function() {\n",
7280 |        "    var titlebar = $(\n",
7281 |        "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
7282 |        "        'ui-helper-clearfix\"/>');\n",
7283 |        "    var titletext = $(\n",
7284 |        "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
7285 |        "        'text-align: center; padding: 3px;\"/>');\n",
7286 |        "    titlebar.append(titletext)\n",
7287 |        "    this.root.append(titlebar);\n",
7288 |        "    this.header = titletext[0];\n",
7289 |        "}\n",
7290 |        "\n",
7291 |        "\n",
7292 |        "\n",
7293 |        "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
7294 |        "\n",
7295 |        "}\n",
7296 |        "\n",
7297 |        "\n",
7298 |        "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
7299 |        "\n",
7300 |        "}\n",
7301 |        "\n",
7302 |        "mpl.figure.prototype._init_canvas = function() {\n",
7303 |        "    var fig = this;\n",
7304 |        "\n",
7305 |        "    var canvas_div = $('<div/>');\n",
7306 |        "\n",
7307 |        "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
7308 |        "\n",
7309 |        "    function canvas_keyboard_event(event) {\n",
7310 |        "        return fig.key_event(event, event['data']);\n",
7311 |        "    }\n",
7312 |        "\n",
7313 |        "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
7314 |        "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
7315 |        "    this.canvas_div = canvas_div\n",
7316 |        "    this._canvas_extra_style(canvas_div)\n",
7317 |        "    this.root.append(canvas_div);\n",
7318 |        "\n",
7319 |        "    var canvas = $('<canvas/>');\n",
7320 |        "    canvas.addClass('mpl-canvas');\n",
7321 |        "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
7322 |        "\n",
7323 |        "    this.canvas = canvas[0];\n",
7324 |        "    this.context = canvas[0].getContext(\"2d\");\n",
7325 |        "\n",
7326 |        "    var backingStore = this.context.backingStorePixelRatio ||\n",
7327 |        "\tthis.context.webkitBackingStorePixelRatio ||\n",
7328 |        "\tthis.context.mozBackingStorePixelRatio ||\n",
7329 |        "\tthis.context.msBackingStorePixelRatio ||\n",
7330 |        "\tthis.context.oBackingStorePixelRatio ||\n",
7331 |        "\tthis.context.backingStorePixelRatio || 1;\n",
7332 |        "\n",
7333 |        "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
7334 |        "\n",
7335 |        "    var rubberband = $('<canvas/>');\n",
7336 |        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
7337 |        "\n",
7338 |        "    var pass_mouse_events = true;\n",
7339 |        "\n",
7340 |        "    canvas_div.resizable({\n",
7341 |        "        start: function(event, ui) {\n",
7342 |        "            pass_mouse_events = false;\n",
7343 |        "        },\n",
7344 |        "        resize: function(event, ui) {\n",
7345 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
7346 |        "        },\n",
7347 |        "        stop: function(event, ui) {\n",
7348 |        "            pass_mouse_events = true;\n",
7349 |        "            fig.request_resize(ui.size.width, ui.size.height);\n",
7350 |        "        },\n",
7351 |        "    });\n",
7352 |        "\n",
7353 |        "    function mouse_event_fn(event) {\n",
7354 |        "        if (pass_mouse_events)\n",
7355 |        "            return fig.mouse_event(event, event['data']);\n",
7356 |        "    }\n",
7357 |        "\n",
7358 |        "    rubberband.mousedown('button_press', mouse_event_fn);\n",
7359 |        "    rubberband.mouseup('button_release', mouse_event_fn);\n",
7360 |        "    // Throttle sequential mouse events to 1 every 20ms.\n",
7361 |        "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
7362 |        "\n",
7363 |        "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
7364 |        "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
7365 |        "\n",
7366 |        "    canvas_div.on(\"wheel\", function (event) {\n",
7367 |        "        event = event.originalEvent;\n",
7368 |        "        event['data'] = 'scroll'\n",
7369 |        "        if (event.deltaY < 0) {\n",
7370 |        "            event.step = 1;\n",
7371 |        "        } else {\n",
7372 |        "            event.step = -1;\n",
7373 |        "        }\n",
7374 |        "        mouse_event_fn(event);\n",
7375 |        "    });\n",
7376 |        "\n",
7377 |        "    canvas_div.append(canvas);\n",
7378 |        "    canvas_div.append(rubberband);\n",
7379 |        "\n",
7380 |        "    this.rubberband = rubberband;\n",
7381 |        "    this.rubberband_canvas = rubberband[0];\n",
7382 |        "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
7383 |        "    this.rubberband_context.strokeStyle = \"#000000\";\n",
7384 |        "\n",
7385 |        "    this._resize_canvas = function(width, height) {\n",
7386 |        "        // Keep the size of the canvas, canvas container, and rubber band\n",
7387 |        "        // canvas in synch.\n",
7388 |        "        canvas_div.css('width', width)\n",
7389 |        "        canvas_div.css('height', height)\n",
7390 |        "\n",
7391 |        "        canvas.attr('width', width * mpl.ratio);\n",
7392 |        "        canvas.attr('height', height * mpl.ratio);\n",
7393 |        "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
7394 |        "\n",
7395 |        "        rubberband.attr('width', width);\n",
7396 |        "        rubberband.attr('height', height);\n",
7397 |        "    }\n",
7398 |        "\n",
7399 |        "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
7400 |        "    // upon first draw.\n",
7401 |        "    this._resize_canvas(600, 600);\n",
7402 |        "\n",
7403 |        "    // Disable right mouse context menu.\n",
7404 |        "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
7405 |        "        return false;\n",
7406 |        "    });\n",
7407 |        "\n",
7408 |        "    function set_focus () {\n",
7409 |        "        canvas.focus();\n",
7410 |        "        canvas_div.focus();\n",
7411 |        "    }\n",
7412 |        "\n",
7413 |        "    window.setTimeout(set_focus, 100);\n",
7414 |        "}\n",
7415 |        "\n",
7416 |        "mpl.figure.prototype._init_toolbar = function() {\n",
7417 |        "    var fig = this;\n",
7418 |        "\n",
7419 |        "    var nav_element = $('<div/>')\n",
7420 |        "    nav_element.attr('style', 'width: 100%');\n",
7421 |        "    this.root.append(nav_element);\n",
7422 |        "\n",
7423 |        "    // Define a callback function for later on.\n",
7424 |        "    function toolbar_event(event) {\n",
7425 |        "        return fig.toolbar_button_onclick(event['data']);\n",
7426 |        "    }\n",
7427 |        "    function toolbar_mouse_event(event) {\n",
7428 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
7429 |        "    }\n",
7430 |        "\n",
7431 |        "    for(var toolbar_ind in mpl.toolbar_items) {\n",
7432 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
7433 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
7434 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
7435 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
7436 |        "\n",
7437 |        "        if (!name) {\n",
7438 |        "            // put a spacer in here.\n",
7439 |        "            continue;\n",
7440 |        "        }\n",
7441 |        "        var button = $('<button/>');\n",
7442 |        "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
7443 |        "                        'ui-button-icon-only');\n",
7444 |        "        button.attr('role', 'button');\n",
7445 |        "        button.attr('aria-disabled', 'false');\n",
7446 |        "        button.click(method_name, toolbar_event);\n",
7447 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
7448 |        "\n",
7449 |        "        var icon_img = $('<span/>');\n",
7450 |        "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
7451 |        "        icon_img.addClass(image);\n",
7452 |        "        icon_img.addClass('ui-corner-all');\n",
7453 |        "\n",
7454 |        "        var tooltip_span = $('<span/>');\n",
7455 |        "        tooltip_span.addClass('ui-button-text');\n",
7456 |        "        tooltip_span.html(tooltip);\n",
7457 |        "\n",
7458 |        "        button.append(icon_img);\n",
7459 |        "        button.append(tooltip_span);\n",
7460 |        "\n",
7461 |        "        nav_element.append(button);\n",
7462 |        "    }\n",
7463 |        "\n",
7464 |        "    var fmt_picker_span = $('<span/>');\n",
7465 |        "\n",
7466 |        "    var fmt_picker = $('<select/>');\n",
7467 |        "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
7468 |        "    fmt_picker_span.append(fmt_picker);\n",
7469 |        "    nav_element.append(fmt_picker_span);\n",
7470 |        "    this.format_dropdown = fmt_picker[0];\n",
7471 |        "\n",
7472 |        "    for (var ind in mpl.extensions) {\n",
7473 |        "        var fmt = mpl.extensions[ind];\n",
7474 |        "        var option = $(\n",
7475 |        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
7476 |        "        fmt_picker.append(option)\n",
7477 |        "    }\n",
7478 |        "\n",
7479 |        "    // Add hover states to the ui-buttons\n",
7480 |        "    $( \".ui-button\" ).hover(\n",
7481 |        "        function() { $(this).addClass(\"ui-state-hover\");},\n",
7482 |        "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
7483 |        "    );\n",
7484 |        "\n",
7485 |        "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
7486 |        "    nav_element.append(status_bar);\n",
7487 |        "    this.message = status_bar[0];\n",
7488 |        "}\n",
7489 |        "\n",
7490 |        "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
7491 |        "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
7492 |        "    // which will in turn request a refresh of the image.\n",
7493 |        "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
7494 |        "}\n",
7495 |        "\n",
7496 |        "mpl.figure.prototype.send_message = function(type, properties) {\n",
7497 |        "    properties['type'] = type;\n",
7498 |        "    properties['figure_id'] = this.id;\n",
7499 |        "    this.ws.send(JSON.stringify(properties));\n",
7500 |        "}\n",
7501 |        "\n",
7502 |        "mpl.figure.prototype.send_draw_message = function() {\n",
7503 |        "    if (!this.waiting) {\n",
7504 |        "        this.waiting = true;\n",
7505 |        "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
7506 |        "    }\n",
7507 |        "}\n",
7508 |        "\n",
7509 |        "\n",
7510 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
7511 |        "    var format_dropdown = fig.format_dropdown;\n",
7512 |        "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
7513 |        "    fig.ondownload(fig, format);\n",
7514 |        "}\n",
7515 |        "\n",
7516 |        "\n",
7517 |        "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
7518 |        "    var size = msg['size'];\n",
7519 |        "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
7520 |        "        fig._resize_canvas(size[0], size[1]);\n",
7521 |        "        fig.send_message(\"refresh\", {});\n",
7522 |        "    };\n",
7523 |        "}\n",
7524 |        "\n",
7525 |        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
7526 |        "    var x0 = msg['x0'] / mpl.ratio;\n",
7527 |        "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
7528 |        "    var x1 = msg['x1'] / mpl.ratio;\n",
7529 |        "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
7530 |        "    x0 = Math.floor(x0) + 0.5;\n",
7531 |        "    y0 = Math.floor(y0) + 0.5;\n",
7532 |        "    x1 = Math.floor(x1) + 0.5;\n",
7533 |        "    y1 = Math.floor(y1) + 0.5;\n",
7534 |        "    var min_x = Math.min(x0, x1);\n",
7535 |        "    var min_y = Math.min(y0, y1);\n",
7536 |        "    var width = Math.abs(x1 - x0);\n",
7537 |        "    var height = Math.abs(y1 - y0);\n",
7538 |        "\n",
7539 |        "    fig.rubberband_context.clearRect(\n",
7540 |        "        0, 0, fig.canvas.width, fig.canvas.height);\n",
7541 |        "\n",
7542 |        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
7543 |        "}\n",
7544 |        "\n",
7545 |        "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
7546 |        "    // Updates the figure title.\n",
7547 |        "    fig.header.textContent = msg['label'];\n",
7548 |        "}\n",
7549 |        "\n",
7550 |        "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
7551 |        "    var cursor = msg['cursor'];\n",
7552 |        "    switch(cursor)\n",
7553 |        "    {\n",
7554 |        "    case 0:\n",
7555 |        "        cursor = 'pointer';\n",
7556 |        "        break;\n",
7557 |        "    case 1:\n",
7558 |        "        cursor = 'default';\n",
7559 |        "        break;\n",
7560 |        "    case 2:\n",
7561 |        "        cursor = 'crosshair';\n",
7562 |        "        break;\n",
7563 |        "    case 3:\n",
7564 |        "        cursor = 'move';\n",
7565 |        "        break;\n",
7566 |        "    }\n",
7567 |        "    fig.rubberband_canvas.style.cursor = cursor;\n",
7568 |        "}\n",
7569 |        "\n",
7570 |        "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
7571 |        "    fig.message.textContent = msg['message'];\n",
7572 |        "}\n",
7573 |        "\n",
7574 |        "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
7575 |        "    // Request the server to send over a new figure.\n",
7576 |        "    fig.send_draw_message();\n",
7577 |        "}\n",
7578 |        "\n",
7579 |        "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
7580 |        "    fig.image_mode = msg['mode'];\n",
7581 |        "}\n",
7582 |        "\n",
7583 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
7584 |        "    // Called whenever the canvas gets updated.\n",
7585 |        "    this.send_message(\"ack\", {});\n",
7586 |        "}\n",
7587 |        "\n",
7588 |        "// A function to construct a web socket function for onmessage handling.\n",
7589 |        "// Called in the figure constructor.\n",
7590 |        "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
7591 |        "    return function socket_on_message(evt) {\n",
7592 |        "        if (evt.data instanceof Blob) {\n",
7593 |        "            /* FIXME: We get \"Resource interpreted as Image but\n",
7594 |        "             * transferred with MIME type text/plain:\" errors on\n",
7595 |        "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
7596 |        "             * to be part of the websocket stream */\n",
7597 |        "            evt.data.type = \"image/png\";\n",
7598 |        "\n",
7599 |        "            /* Free the memory for the previous frames */\n",
7600 |        "            if (fig.imageObj.src) {\n",
7601 |        "                (window.URL || window.webkitURL).revokeObjectURL(\n",
7602 |        "                    fig.imageObj.src);\n",
7603 |        "            }\n",
7604 |        "\n",
7605 |        "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
7606 |        "                evt.data);\n",
7607 |        "            fig.updated_canvas_event();\n",
7608 |        "            fig.waiting = false;\n",
7609 |        "            return;\n",
7610 |        "        }\n",
7611 |        "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
7612 |        "            fig.imageObj.src = evt.data;\n",
7613 |        "            fig.updated_canvas_event();\n",
7614 |        "            fig.waiting = false;\n",
7615 |        "            return;\n",
7616 |        "        }\n",
7617 |        "\n",
7618 |        "        var msg = JSON.parse(evt.data);\n",
7619 |        "        var msg_type = msg['type'];\n",
7620 |        "\n",
7621 |        "        // Call the  \"handle_{type}\" callback, which takes\n",
7622 |        "        // the figure and JSON message as its only arguments.\n",
7623 |        "        try {\n",
7624 |        "            var callback = fig[\"handle_\" + msg_type];\n",
7625 |        "        } catch (e) {\n",
7626 |        "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
7627 |        "            return;\n",
7628 |        "        }\n",
7629 |        "\n",
7630 |        "        if (callback) {\n",
7631 |        "            try {\n",
7632 |        "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
7633 |        "                callback(fig, msg);\n",
7634 |        "            } catch (e) {\n",
7635 |        "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
7636 |        "            }\n",
7637 |        "        }\n",
7638 |        "    };\n",
7639 |        "}\n",
7640 |        "\n",
7641 |        "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
7642 |        "mpl.findpos = function(e) {\n",
7643 |        "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
7644 |        "    var targ;\n",
7645 |        "    if (!e)\n",
7646 |        "        e = window.event;\n",
7647 |        "    if (e.target)\n",
7648 |        "        targ = e.target;\n",
7649 |        "    else if (e.srcElement)\n",
7650 |        "        targ = e.srcElement;\n",
7651 |        "    if (targ.nodeType == 3) // defeat Safari bug\n",
7652 |        "        targ = targ.parentNode;\n",
7653 |        "\n",
7654 |        "    // jQuery normalizes the pageX and pageY\n",
7655 |        "    // pageX,Y are the mouse positions relative to the document\n",
7656 |        "    // offset() returns the position of the element relative to the document\n",
7657 |        "    var x = e.pageX - $(targ).offset().left;\n",
7658 |        "    var y = e.pageY - $(targ).offset().top;\n",
7659 |        "\n",
7660 |        "    return {\"x\": x, \"y\": y};\n",
7661 |        "};\n",
7662 |        "\n",
7663 |        "/*\n",
7664 |        " * return a copy of an object with only non-object keys\n",
7665 |        " * we need this to avoid circular references\n",
7666 |        " * http://stackoverflow.com/a/24161582/3208463\n",
7667 |        " */\n",
7668 |        "function simpleKeys (original) {\n",
7669 |        "  return Object.keys(original).reduce(function (obj, key) {\n",
7670 |        "    if (typeof original[key] !== 'object')\n",
7671 |        "        obj[key] = original[key]\n",
7672 |        "    return obj;\n",
7673 |        "  }, {});\n",
7674 |        "}\n",
7675 |        "\n",
7676 |        "mpl.figure.prototype.mouse_event = function(event, name) {\n",
7677 |        "    var canvas_pos = mpl.findpos(event)\n",
7678 |        "\n",
7679 |        "    if (name === 'button_press')\n",
7680 |        "    {\n",
7681 |        "        this.canvas.focus();\n",
7682 |        "        this.canvas_div.focus();\n",
7683 |        "    }\n",
7684 |        "\n",
7685 |        "    var x = canvas_pos.x * mpl.ratio;\n",
7686 |        "    var y = canvas_pos.y * mpl.ratio;\n",
7687 |        "\n",
7688 |        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
7689 |        "                             step: event.step,\n",
7690 |        "                             guiEvent: simpleKeys(event)});\n",
7691 |        "\n",
7692 |        "    /* This prevents the web browser from automatically changing to\n",
7693 |        "     * the text insertion cursor when the button is pressed.  We want\n",
7694 |        "     * to control all of the cursor setting manually through the\n",
7695 |        "     * 'cursor' event from matplotlib */\n",
7696 |        "    event.preventDefault();\n",
7697 |        "    return false;\n",
7698 |        "}\n",
7699 |        "\n",
7700 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
7701 |        "    // Handle any extra behaviour associated with a key event\n",
7702 |        "}\n",
7703 |        "\n",
7704 |        "mpl.figure.prototype.key_event = function(event, name) {\n",
7705 |        "\n",
7706 |        "    // Prevent repeat events\n",
7707 |        "    if (name == 'key_press')\n",
7708 |        "    {\n",
7709 |        "        if (event.which === this._key)\n",
7710 |        "            return;\n",
7711 |        "        else\n",
7712 |        "            this._key = event.which;\n",
7713 |        "    }\n",
7714 |        "    if (name == 'key_release')\n",
7715 |        "        this._key = null;\n",
7716 |        "\n",
7717 |        "    var value = '';\n",
7718 |        "    if (event.ctrlKey && event.which != 17)\n",
7719 |        "        value += \"ctrl+\";\n",
7720 |        "    if (event.altKey && event.which != 18)\n",
7721 |        "        value += \"alt+\";\n",
7722 |        "    if (event.shiftKey && event.which != 16)\n",
7723 |        "        value += \"shift+\";\n",
7724 |        "\n",
7725 |        "    value += 'k';\n",
7726 |        "    value += event.which.toString();\n",
7727 |        "\n",
7728 |        "    this._key_event_extra(event, name);\n",
7729 |        "\n",
7730 |        "    this.send_message(name, {key: value,\n",
7731 |        "                             guiEvent: simpleKeys(event)});\n",
7732 |        "    return false;\n",
7733 |        "}\n",
7734 |        "\n",
7735 |        "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
7736 |        "    if (name == 'download') {\n",
7737 |        "        this.handle_save(this, null);\n",
7738 |        "    } else {\n",
7739 |        "        this.send_message(\"toolbar_button\", {name: name});\n",
7740 |        "    }\n",
7741 |        "};\n",
7742 |        "\n",
7743 |        "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
7744 |        "    this.message.textContent = tooltip;\n",
7745 |        "};\n",
7746 |        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
7747 |        "\n",
7748 |        "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
7749 |        "\n",
7750 |        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
7751 |        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
7752 |        "    // object with the appropriate methods. Currently this is a non binary\n",
7753 |        "    // socket, so there is still some room for performance tuning.\n",
7754 |        "    var ws = {};\n",
7755 |        "\n",
7756 |        "    ws.close = function() {\n",
7757 |        "        comm.close()\n",
7758 |        "    };\n",
7759 |        "    ws.send = function(m) {\n",
7760 |        "        //console.log('sending', m);\n",
7761 |        "        comm.send(m);\n",
7762 |        "    };\n",
7763 |        "    // Register the callback with on_msg.\n",
7764 |        "    comm.on_msg(function(msg) {\n",
7765 |        "        //console.log('receiving', msg['content']['data'], msg);\n",
7766 |        "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
7767 |        "        ws.onmessage(msg['content']['data'])\n",
7768 |        "    });\n",
7769 |        "    return ws;\n",
7770 |        "}\n",
7771 |        "\n",
7772 |        "mpl.mpl_figure_comm = function(comm, msg) {\n",
7773 |        "    // This is the function which gets called when the mpl process\n",
7774 |        "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
7775 |        "\n",
7776 |        "    var id = msg.content.data.id;\n",
7777 |        "    // Get hold of the div created by the display call when the Comm\n",
7778 |        "    // socket was opened in Python.\n",
7779 |        "    var element = $(\"#\" + id);\n",
7780 |        "    var ws_proxy = comm_websocket_adapter(comm)\n",
7781 |        "\n",
7782 |        "    function ondownload(figure, format) {\n",
7783 |        "        window.open(figure.imageObj.src);\n",
7784 |        "    }\n",
7785 |        "\n",
7786 |        "    var fig = new mpl.figure(id, ws_proxy,\n",
7787 |        "                           ondownload,\n",
7788 |        "                           element.get(0));\n",
7789 |        "\n",
7790 |        "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
7791 |        "    // web socket which is closed, not our websocket->open comm proxy.\n",
7792 |        "    ws_proxy.onopen();\n",
7793 |        "\n",
7794 |        "    fig.parent_element = element.get(0);\n",
7795 |        "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
7796 |        "    if (!fig.cell_info) {\n",
7797 |        "        console.error(\"Failed to find cell for figure\", id, fig);\n",
7798 |        "        return;\n",
7799 |        "    }\n",
7800 |        "\n",
7801 |        "    var output_index = fig.cell_info[2]\n",
7802 |        "    var cell = fig.cell_info[0];\n",
7803 |        "\n",
7804 |        "};\n",
7805 |        "\n",
7806 |        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
7807 |        "    var width = fig.canvas.width/mpl.ratio\n",
7808 |        "    fig.root.unbind('remove')\n",
7809 |        "\n",
7810 |        "    // Update the output cell to use the data from the current canvas.\n",
7811 |        "    fig.push_to_output();\n",
7812 |        "    var dataURL = fig.canvas.toDataURL();\n",
7813 |        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
7814 |        "    // the notebook keyboard shortcuts fail.\n",
7815 |        "    IPython.keyboard_manager.enable()\n",
7816 |        "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
7817 |        "    fig.close_ws(fig, msg);\n",
7818 |        "}\n",
7819 |        "\n",
7820 |        "mpl.figure.prototype.close_ws = function(fig, msg){\n",
7821 |        "    fig.send_message('closing', msg);\n",
7822 |        "    // fig.ws.close()\n",
7823 |        "}\n",
7824 |        "\n",
7825 |        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
7826 |        "    // Turn the data on the canvas into data in the output cell.\n",
7827 |        "    var width = this.canvas.width/mpl.ratio\n",
7828 |        "    var dataURL = this.canvas.toDataURL();\n",
7829 |        "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
7830 |        "}\n",
7831 |        "\n",
7832 |        "mpl.figure.prototype.updated_canvas_event = function() {\n",
7833 |        "    // Tell IPython that the notebook contents must change.\n",
7834 |        "    IPython.notebook.set_dirty(true);\n",
7835 |        "    this.send_message(\"ack\", {});\n",
7836 |        "    var fig = this;\n",
7837 |        "    // Wait a second, then push the new image to the DOM so\n",
7838 |        "    // that it is saved nicely (might be nice to debounce this).\n",
7839 |        "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
7840 |        "}\n",
7841 |        "\n",
7842 |        "mpl.figure.prototype._init_toolbar = function() {\n",
7843 |        "    var fig = this;\n",
7844 |        "\n",
7845 |        "    var nav_element = $('<div/>')\n",
7846 |        "    nav_element.attr('style', 'width: 100%');\n",
7847 |        "    this.root.append(nav_element);\n",
7848 |        "\n",
7849 |        "    // Define a callback function for later on.\n",
7850 |        "    function toolbar_event(event) {\n",
7851 |        "        return fig.toolbar_button_onclick(event['data']);\n",
7852 |        "    }\n",
7853 |        "    function toolbar_mouse_event(event) {\n",
7854 |        "        return fig.toolbar_button_onmouseover(event['data']);\n",
7855 |        "    }\n",
7856 |        "\n",
7857 |        "    for(var toolbar_ind in mpl.toolbar_items){\n",
7858 |        "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
7859 |        "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
7860 |        "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
7861 |        "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
7862 |        "\n",
7863 |        "        if (!name) { continue; };\n",
7864 |        "\n",
7865 |        "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
7866 |        "        button.click(method_name, toolbar_event);\n",
7867 |        "        button.mouseover(tooltip, toolbar_mouse_event);\n",
7868 |        "        nav_element.append(button);\n",
7869 |        "    }\n",
7870 |        "\n",
7871 |        "    // Add the status bar.\n",
7872 |        "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
7873 |        "    nav_element.append(status_bar);\n",
7874 |        "    this.message = status_bar[0];\n",
7875 |        "\n",
7876 |        "    // Add the close button to the window.\n",
7877 |        "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
7878 |        "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
7879 |        "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
7880 |        "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
7881 |        "    buttongrp.append(button);\n",
7882 |        "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
7883 |        "    titlebar.prepend(buttongrp);\n",
7884 |        "}\n",
7885 |        "\n",
7886 |        "mpl.figure.prototype._root_extra_style = function(el){\n",
7887 |        "    var fig = this\n",
7888 |        "    el.on(\"remove\", function(){\n",
7889 |        "\tfig.close_ws(fig, {});\n",
7890 |        "    });\n",
7891 |        "}\n",
7892 |        "\n",
7893 |        "mpl.figure.prototype._canvas_extra_style = function(el){\n",
7894 |        "    // this is important to make the div 'focusable\n",
7895 |        "    el.attr('tabindex', 0)\n",
7896 |        "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
7897 |        "    // off when our div gets focus\n",
7898 |        "\n",
7899 |        "    // location in version 3\n",
7900 |        "    if (IPython.notebook.keyboard_manager) {\n",
7901 |        "        IPython.notebook.keyboard_manager.register_events(el);\n",
7902 |        "    }\n",
7903 |        "    else {\n",
7904 |        "        // location in version 2\n",
7905 |        "        IPython.keyboard_manager.register_events(el);\n",
7906 |        "    }\n",
7907 |        "\n",
7908 |        "}\n",
7909 |        "\n",
7910 |        "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
7911 |        "    var manager = IPython.notebook.keyboard_manager;\n",
7912 |        "    if (!manager)\n",
7913 |        "        manager = IPython.keyboard_manager;\n",
7914 |        "\n",
7915 |        "    // Check for shift+enter\n",
7916 |        "    if (event.shiftKey && event.which == 13) {\n",
7917 |        "        this.canvas_div.blur();\n",
7918 |        "        event.shiftKey = false;\n",
7919 |        "        // Send a \"J\" for go to next cell\n",
7920 |        "        event.which = 74;\n",
7921 |        "        event.keyCode = 74;\n",
7922 |        "        manager.command_mode();\n",
7923 |        "        manager.handle_keydown(event);\n",
7924 |        "    }\n",
7925 |        "}\n",
7926 |        "\n",
7927 |        "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
7928 |        "    fig.ondownload(fig, null);\n",
7929 |        "}\n",
7930 |        "\n",
7931 |        "\n",
7932 |        "mpl.find_output_cell = function(html_output) {\n",
7933 |        "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
7934 |        "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
7935 |        "    // IPython event is triggered only after the cells have been serialised, which for\n",
7936 |        "    // our purposes (turning an active figure into a static one), is too late.\n",
7937 |        "    var cells = IPython.notebook.get_cells();\n",
7938 |        "    var ncells = cells.length;\n",
7939 |        "    for (var i=0; i<ncells; i++) {\n",
7940 |        "        var cell = cells[i];\n",
7941 |        "        if (cell.cell_type === 'code'){\n",
7942 |        "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
7943 |        "                var data = cell.output_area.outputs[j];\n",
7944 |        "                if (data.data) {\n",
7945 |        "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
7946 |        "                    data = data.data;\n",
7947 |        "                }\n",
7948 |        "                if (data['text/html'] == html_output) {\n",
7949 |        "                    return [cell, data, j];\n",
7950 |        "                }\n",
7951 |        "            }\n",
7952 |        "        }\n",
7953 |        "    }\n",
7954 |        "}\n",
7955 |        "\n",
7956 |        "// Register the function which deals with the matplotlib target/channel.\n",
7957 |        "// The kernel may be null if the page has been refreshed.\n",
7958 |        "if (IPython.notebook.kernel != null) {\n",
7959 |        "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
7960 |        "}\n"
7961 |       ],
7962 |       "text/plain": [
7963 |        "<IPython.core.display.Javascript object>"
7964 |       ]
7965 |      },
7966 |      "metadata": {},
7967 |      "output_type": "display_data"
7968 |     },
7969 |     {
7970 |      "data": {
7971 |       "text/html": [
7972 |        "<img 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oMDWFjCAY2t//569AgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKLAjCywTwPGPwIOqk3sO8DcLnuxFgasCFwb+EPgZ8D3gY8CPFxwzm2XcbcDFgfMDZwKnlreqfxP4EnDGEuOP2fQPgGsCCWjYFTgJ+HY5t19WA6wijCLjXw3Yo+zrlHKu/1k8xxzv2D4JX/lTIIXZpwHfAT4C/GTsAMAqznnC7s7SdU9gH+BS1dzIsafI/JPALyYOvJkDOM4HXKNcTxcCMq/+HThujtEuZe4nEGK3cu1l/v8X8PWJvvO6Z/yrA/lec7zfBw4HvjFnwwsA1yrX587l+vwUcNS8HS75eY4t60LXnliuhyWHXXjzcxa/SwK7A1mb8l19sayTCw9cbZj7zZXLOp9wgqztKaDPOj/1eus7ngRmZL3P+pd1PmvSp4ETFzz4VQRwJLBi/7JWxjXOcT0GyDz79YLHNnazvwceWXVOAMdFgDeVn+V7jte8dTv39r8r2+TaynX2lhUEcKxyTmRdiXVart98f3W7AnC5cs9K4E3mx4fL88ZYzyn9DOCYovX7fT9a1uZ8kue0zNs8Gz4LeGzV/UbA+5bb1Vm2Pm9ZmxPykefRH5X5lLVk0es168Blgb3L/Ms+8tyU6y6hS0cAv5p4DjtqgEDu+wmTyvnGL/fV/wZ+Wp4ZvlxMJ57u6O7be/9DB5rfBfJ8njUva27m0ifK/+adXPd8k2vggsDJ1bP9ove3vn3mGPOsl+eA/D6W7yzPULkWp87Pdvz83cnMi6zBeY7MvnIvzPh55v6feQgTPs++8qxx6fLcuhPweeC91Rg76vUz4TTtqoACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgpsfAEDODb+d+gZKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAKbVWCZAI5nAI+vYF4J3G8CVAoS7wY8HNhvYLu81TyFX08oBVpjh78N8OgS6jFrmxR1pgj6jcA/DXRcNFghxWU5hpxfCq/blqLOVwNPK4EGy4RR3KKEnyTEJK59LcXJTwbePQIxx14X2+Ut9Pcp2x1Y9pXiyrbl+3oz8JhSWN+3q9ZzxOH8tktfQMHHS2hAPk8RX8YeanG5NnAH4IalwHCob87jg0DmeObfmLboPBkzdvq0488737Hjpt9QIWLWh2cDmV/naga8L/CqgZ0k2CTz+cal+LavWwIIngdkbo0pah46xsuU7+mWJdyg3dc7S1DQCc0HKQB9JnDXgWP8LHB/4HNTIEf2zXqXYtCu5VpLkM0PR26/ym4pMj+oBCkkMKCvxS6BSy8EElwwpeXvS8Q4AQ6ZF30t5/8B4G+BI6cMXvreqhTl961JKerNmpc16WsllCHBS13LGp2Qir62TABHCqVzPncsYUh94ydMIPeAXCspdF6L1hfAkXteQjQSSpWWIK2Xzdl5iua77+/5JdTjXxcM4FirOTEUwHF34FHAvj3nmACSnEdCSmIyr02ZE1MDOPJMkBCttHcBN2sOpl0D5x1r93nCsmKTZ5F8d12LyyFjByn97gz8c7XNI4AXTBxjTPcEAOQe1/19q0OB25UNU8BfByTl+e0uYwYtfYbuJQk2SMhMzjEhDm1LWEDWypeWMLd5u8wYuS/dFkjwTcIohloCKvJdZP/fmjfwnPOoN397uX/nZ3muSeBYAuCmtDwb537ftYQc9d0Xcy9+KpD1+NxzdpC1OMeWZ4C49rV5gTrtNqve/xSj9B1aG85T5k2ut/Z3gVxLuT8Otfwuk3tXruG+Z/uECn6mPB+/f8QBD61J+b4SapPf4XLvaluCYvIMkGfiqaGFuQ5yn83YCR7paz8vgU75HWXMOjx0HvndJc8aeXZL8FvdEkT4lyW8ZATVWbrk3LNu2BRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBVYsYADHikEdTgEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQYGUCywRwvAh4SHUkLwYeOvLILg78G5A30o9tzykFYik4G2opvnrtxGLMjPVjIG+Y7muLBCuk0DJvWk7R3Lx2NHAD4IElaKTrn+Kx78zZOAWjbwWuN28n1edvAO41523WfQEcDy7F4ilOnde+C1y/vNm97bu9AjhS/PeKeQfe8/lzy7xL8eqstsg8mXI46x3AkSLMzJWuSL891qEAjoTypEg5bxwf0xK4cNMRRZd9RdO5zg4DhoIjuv2noPOawNfLDy4PvGdGMWi3XYqiU7D5sTEnMqFPiv3r0Ie3ASm0Xe92D+DlPeEqQ8fxzfJdfXXkgWZ9SpH1NUb2z9qeAvQ62GnWpilIzjXdhQPN6ntyKXTOOax1AEfW19wf+4r4+44xwSsJW0gh9apbXwDHR0p4zr3LzhLI8Rczdrx/CXDouuS+/YUSXJFwga4lNGFeeMBazom2YD/XeQJOMs/ntQSgJGgooU6z2kYO4Ih97s1dmNLhJZRqnk39+YdKmER+lvCSBAclOGTVLYX4T6kGvXV5Zux+lPvGFcsfTgMuPKGwvu9ekrUn95IEEs1rrwfuWQItZvXNeDnuKe2UEkyX5+N5bShIpN7uJiXMpftZ7s2xHduyhp0InLdsEPesB21LsFlczjl24NIvz74JX+prUwI41mL/E0+lN4Aj9793AH3hUBl/KIAjQR0JBrrWhIPIWpfgiYRODbW+4IpcZ/l9JcEq81qCmPJs/4N5HcvnuUYTgnbRkf0z/xNUkmeiWa3vPDK3c90M3csM4Bj5JdhNAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFhPAQM41lPbfSmggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCkwRWCaAI8WbKWrvWorK67erDx1H3kL/vp63LJ9QCqN/BlwA+HPgQs0g895CnOLtvP24bino+jzwvVIwer5SNJq3qHdv6V5lAEfedp0C5zZ8I0WqKSjM+aVo9arAOcqB5vjy9uq8Jbpr8wI49iyFi3/anG/eJp63k+eN1SmeTLF0W1T67+XN7ENhJn0BHAlUOLDs61elWDzFvDmHFDpfujmOFLmnUDN967a9AjgeALysOpAU7R5Vikt/UeZCgmEyP9si0rz1+2/nXFibKYAjAQIvATKX0zKnjihzN4XOKdTMXH1VY9J3/aUY9NMlTCZFvNm2fcP6cSWkIdfoUGuLjXOMCf3pQg4SrpHv83RgrzLv6/9Wn8CAzMcUguZcujfRZw7neklAQ77/qzThISk+TvFs5siqWopLb1UN9gjgBasafOQ4DyrfcW2U9SA2+T5SpJ9rIfeIumUduy6QQtxZLcX+CS7JOttu362D+S6yDrbXW0I1cr3OawkPScFx3RIKkECJzKWs9Vn/uuLfXPNZw95SbZB5XIeh1GNNCVvotss68bTmmHINZI0/vqyHWbuvXK3/6X5qCVLKtbLKNhTAkcLuj1Y7yjVz7MCO67CtLwL7lX4pEJ8SwLHWc6It2M997rHVOeXYc465l+0DXKY536wB1wESMjDUpsyJviLxrGNDLdfWruXDd5VQlrpvuwaOnSd5FolNWkKV7jLye2/Hzz0+ft2akfCvBB+sRfsGcKkycMJRcs/Itd21rJnPq/6cMJkEEIxprWPmcJ4NuufNhAt097vcJ67WE6bzcOAf5uwsYQC3rPrk+809Ks+bWYuyPuXe0s7DX5e1oL4++3Y1JoAjIUVZz7tnwDxnZ02fFyjW7S/32YOrnee+UT9H5aPcV7Nu1aFbGT/nmu8xz+B51s7czv2gfq5fRQDHWu1/zFyq+7Rrw1OB2wN7l04J9IpT5leCzWKRwJ+7NjvKc8gHe56pEySW+0ie7fMslXCL3EvqljX5r2YceLsm5R6a4+5CsnKvyv0z4X85xvwe1j0rdcPme03//C4zq+VZKr/rZZ7XrXtWy+8GeW5ugxgz/xOalHCSodZ3HrmWsn6n1b+jZO7l96QEXSVQLev81Dbvd8+p49lfAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFCgCBjA4VRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRTYUQUWDeBIMdNXgBT3da0u8hw63xSNpbg1RVddS4HWE6oC0e7n+e9stylF4nXB/u2AQ3t2sFsJU0h4RFqKrFIkeUhTuNltmmLBFFam+PJmzTHVw08NVmgLnlO4n3CS1zZvpk4x8tOBB5adpcj0D6sdzwrgyDkm5OPqVf/PlmLjvKG+bQeUoskUWXftUU0Ba71NG8CRgtEUT6YwLiELzwV+3uzkFsW6Lra7H/DKpl/G7ooG41IXJOfN1Sky7GvxafeZ4sXOIIWe9bxqx0hBf978/hogbyWPV18Rar6D9H1iFdCSfimYT1HuUJs6T2YM1ftRO/68850yflvIm4LZFDgmMOBh5Q3utVXCGVKcWb8F/ablTef1fmOdQJwUPnYta0YKRBPwkWu2awmguREwFArTHmMX1JOi+lxDn2hOOOtRgi4SdtO1vFk9hdrXBr4FPBh4d7NdrpHDSoF+91HmTd6uvqqWUI96TcvxJNBovVoKd1NkWwdf5C31Dyku9XHcEEggRh3EkfCNFOaeMeOA/wXIWt21fF9ZjxMAkCLfruV6S2BFvou6pSh5VgHuzcu87LbJvHkh8JRmnch9JEXwKaBNEEe3lnXbrTKA49Zl7nRjxydrfPad9atuWf9zrDHv2jdLMfIiBcJDX8VQAEdcsoZcsmyY7+BJPYMkYCkhNV0Rdn3fmBrAsdZzog7gyH03a1jWm08CuRe1oTEpIk+IUB1ileLyhATVYQ81y/YM4MjzUxfQ8Y4SkJNjO6asnUNzoAsfy+cJTavXmmc3ISUzLmmeCTyu6jArPGHWOPM+a4+xL5An62dCArrQh5xT1tExrb2XdGtCrofc73JPqO9DcU/Yx32rwXON7lGCc4b2mQCOPMe9HkgYTK7vvpYAjlx7dRBDgjJyzx+ahxlnTABH+uVZpr5/3Rh4zxiocl/Nc1laAiSyhrbPYf9Rgg26IfPMl3tm7nN9LUEuWb/jGe8PDPRrA3Vy7fW1tdr/SKL/7dauDd1zVMJW8v3mPpB/71rW4ASjfLv6We7J/1nur92Ps34lSKjvGSH35wSidGE13bzIvvpaG1zRPUelbwJs8ryWoJiu5Xk98zJhM3nm61rWzfp6aPeVayZhIfVxHV0CsxLMVbc8cyUIJMFeXctcy3NK1rYx59FZ5zn1OeX3lHae5hkm1gk4ScvzYEJSupbfYRIc2NdyP0nwiU0BBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUGDFAgZwrBjU4RRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBVYmsEgARwqHUyyfItWupdAqxVLzWgopUwjbtecDKegdKrpPvxRL5a3RFy4bJRQgRV0Jg6hb3uqe4u6u3Ql487wDKp8nUOD0gb5TghVSyJsC3q4oNMV21+8JB6h31RZHdp/NCuBIEWyKYbuWN9GnSC5vfR5qKXRPYV/3Nu5TSxBG31us2wCOjJnvKAX1CScYajcB3lV9mMLBhJwMtRSnJ3xlzDn3jTElgCMFuymgm1XQWu8jxdkJM0kBetobgcyxoTZlnswYZvT4U8e4W3N91Nu3hbz5LIWKCTdJ8f28lvlyXPM29szP+rttx8jb31OImfWka3cG3jSws75jTJhPijZTHNnXEpqSoInuv9l3xaYJ38i8HCoQzrqYYtGsC2kpnE7R8CpaAgFyndbhRSlqHjqWVeyzHSMmeTt91xJ0kfkxtA6n0DwBJ3UIx+OBZw0cXN4yn6LorqVYPW+mz/c11FJgXI+XwIqsgVmn2ha7r1fhEfk8YT65nwy1fH9Z/7r7SNdvVQEcmccp4L9AGThz8no9wVLt8aUAPcXNXUuhdsIwVtWGAjgyforyc/9Jy/Ubo3YOpCg5gUVpuecmPKkLSZoSwLHWcyLHVxfsd34pWk+wz9D9PSFAuXraV04AACAASURBVI/UIRyzwqm2ZwBHPSfGhhP0zaM8o2T9Tct3meusDsXp2ybPNHn2ylo1a76sYt6muD9BSV27VrlXtGO/F0gAQVrmbeZv5vG81ncvSaBcAjzq8IF2nISeJDiia/co4RpD+8uzax2uMO+4cu3XgQAJCEiA3FAbG8CR7yzH0YXTJcCuDkcaGj/PinHp2uuAA5vOuUdmreuek2KUwKOxbecZQU5j5vha7n/sOXT92rUhP8+9PuvPh0cOlu+/DkLK93+vOddn1rA8a3cBdAmeyDqdUIq2tQEc3efzgnjyvJDn4fOUDXK95fkq31FfS1Bfwjy6lvCjXMdtEFX3eeZmAmsS5Na1hDPGrq8Nnces59x2nLHXz8ivzm4KKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAKLCBjAsYia2yiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCqyHwNgAjl1K8XWKaB8O/FF1cCkwSxF8iptntRRxp/A9b3hO+whwwJzwjW68WzfBD7cH/qXZWRtKce4ZRbdTbKcEK7wA+Otq8L8FnjFnZ/nvibHr3jLedR8K4EjBYQphdy8d84bofUcGSyQ05YjqeB4DPLfn+PoCOPJG7RSszWufAa5UOqVgO2/Crt/6XW+/ngEc84677/MXAg8tH6SA+3wzQk6mzJNFjqUdf+oYUwM4UviYAsgx7Q5N2M1nS8DDrGCdjJsC5tdWO0jQzlUHdtgWS+ZN5yl4TVDGrJaQj4Sp1C2hOB+cs13CfOrAlbyp/oQxGHP6JKjhx02frK954/t6tBTSJoCja1lLUmg9b/8pTs+a3bUEs+T+0Ve4n/CN3Cu6lu8u68e8lgLf3Eu69kDg5T0btUE/KW7OvWRea+dp+q8qgCNhM1nPujYlAKoOEkggQubarDCleedZfz4rgKNdU/IdJ7CibnXIxnuAG1cfTgngWOs5kcNqAzhy30mwxrzrNvfe3IO7v9uTIJXLDDybbIYAjjyj5Fmla7eqQlaG5lYdxJI+CW6p5/uUOTmrb57bcg3kXpuWZ8YErvXdS3JPe3012FOaAIuh/bT3kox9BeCLc06ifX56dRMUsqxBgoUSjnLZMlDCzG42Y9ApAQIJN+iCMbK25Bn+h3MOOIFGed7v2jVLWE292SVLQFX3swR0JKhjFW1MAMda7n/qOfQFcCRUKmFVY1pCJXI/TlheWkIrEmw4LxwnfbOGJSSra3lufXHPTvuCKzLvM7fbUMN28zYk6zUlHKTtl2v4O1W4WsbdH/jCHIQ8G+X3mV2rfgkK6nvG6zuPhLclxG1sm3L9jB3TfgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAhMFDOCYCGZ3BRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBdRNoAzim7jhF2ymCPGzEhinYPKjqN/RW876h8t/cUoiZwuS0vjdxtwEcQwEWIw71LF2mBCv8ALhQ2fpU4MJA/jmvtQXl6T90/G3R6by3pLf7ToF1CinTPgpcp+fg2gCOFKim0HHM29xTBPvkasyEcQy9JXtHD+BIUX8d1PDnTYBJTTdlnsybD32fr2cARwo/E+oytuWt9zevOuct5u8esXGu66+VYveu+17AsT3btsWS72z2ObS79o3yKTbdb8Sx5a3zB1f9cn7Z57Lt0sDXq0FSXHuOkYMmfGcozKYd4q+ABCS07UXAQ6ofPhh46cj9vx9IeEnXbgB8oNl2N+CkKszgxLKWzSvuzTBXbwq8E4rQhqekXwp/U+jdtYR9JMRiXst8+2YJDun6riqAIwXHXTBViuhTjD22tet/iqnrkJSx4/T1mxXAkf4p2u7CnzLf71MNkkLwfH87l5+luDlFzl0bG8CxHnMix9QGcCS8JSEuY1rChjKfu3Y14JM9G26GAI58r98Dsp6kjVlL3w4khCMt1/LFgYTwrLol9CjhR117JpBwm76W4KI8c+Wfabm2s77Oa+29JOEwuQbHtISD5LkuLWFmeSZYZXtOCQXKmD+qgtb69jElQCDBOfU9+VHA82YceILy8v3m2k37aglqajdpAzBmradTnRYJ4Fjl/qceb7s25N6+Z5mjY8a6L/BPVce+oMFZ49Thd7kf1iFY3XZ9wRV3BN4y4gCzXuR668Jx8rtN1pI2LOo2wKHVeAlLzLmMaW2QVQIME2TYtr7zSMjHkWN2UvpMuX4mDGtXBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBKQIGcEzRsq8CCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooMB6CiwawJHCqzcCKY4aE8qQc/pwFfaQIq49Bt5qPnT+KcpMcWZaCtjzhvq6tUVf/wzcY8Rbned5jw1WaAvr3wrcYd7g5fMEXqRovXvzdX48FMBRF5//BrgAcPLI/aRbHXqRYv7z9xTQtQEceQN13kQ9pqWYry7STmFrClz72o4QwJH/nptivhQVtkEI+U7rgIG7AplXfW3sPBljOGb8XHd94SlD4+dt90NhMG0h4qyi577xM3ZXqPuTUqA85q3tGasNyMg1+/qenbTHOPSG93bTBNQksKdrKTpO8fG8loCgBNR0LYEcufaWbe06keLVFDuPaasI4KiLmhOsszvw4zE7B+4JvLrqm6CdOlQpH90M+PeqTwI/HjZy/HRL0FKK+9POKNflL5vtsx5dtvzsF8AFJ6zz+f4fUY23igCOPy0F6t2wTwOeNOGc22LiecXxE4ZmXgDHA4CXVZYJFzi9/DnhFV04S+4x+awOgBkbwLEecyKH3AZwJEApzx1j2r2BV1UdHwk8v2fDzRDAkdM6BMj9LC2BGgk3SyhHX8uz2vFAngvSxgR2jDHv69MGoeS5I9f7UKufC9Mn4WIfn7Pz9l6S9Snr1Jj2EeDapWNMurVqzLZdnzietzx37NRsmPtMwuq6lvvq0Po8JUDg7CWgpDveec90CXDKM2zXhtakPDP9tApBSRBRAn3yz2XbmACOtdz/1ONv14aEGyVUamzLc3Oen9Nyz8uzebcWjxmjXutzX8zvE/kdoW7tvSbj5/45NtirXjcybl/oRXvPye9mbxtzAiXoL0E6Xcv6nXW8be15ZO3qArBG7oop18/YMe2ngAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCigwUcAAjolgdldAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFg3gUUDOFKwmWL0FMGPKdxKkWEKeM9dzixvlr/zxLN8PJA3RKdl/ym8SwF511KQlVCCFJN17SvljdL/NiEopD2sscEKbcHi1Ddxfwi4brXzoQCOY6rwkROABAVMaQkkSOhB11J4m3Hq1gZwHAbcduRO2jetz3q79vYI4MhcvAGQ7ytvr08h/9gAhIcALxlwGDtPRjL+Xrd2/G8A+dkqWluIOOXN6ynoTWhC194P3HDCQbXzZSiwoT3G7CP7mtdu1RR/3g945byNgCsAn6v6/TXwwhHbzeuS9aktqD7PyHV02QCOzP0U3HaF9McCe8074OrzvYGsqV17B3DLZvuEcjyl+llCkxLWNLa9Bcj869q25nvYuVh1fw/jYxPXwBxPiva7tooAjhTNH1yNmbn6rrEnXPodBWQepCX04sETtx/qPi+AI0XaJwJxTavX69ynr1p+nvt9zrNuYwM41npOdMfUhsukgH1sONXlgS9UJ5c52wV+1ee8WQI4rgHk2unaE4AEL/W1xzWfZU19+4rmZz1MCugTapGwiLQjS4H/rF3dCHhP1SEhKt1z4tB2i95LMl7O+xZl4J81oWlD+0u4V56fst1+QJ67x/49sgTNJXCur00NEPhbIOFAXUs4REIi+tp7q/t4wiD2BBK01dcSmHW36oOfl98PEuDxmQnhSO3YYwI4ss1a7X/qFG/XhqnreOZ+nvvT8p3nOXVKy7zP70ldu1DPd9YGVxxRnoPH7ie/89XPQX3PU3XYYsbNdT0U7tO33++XsKd8liCRrONta8/j3cBNx55E6Tf1+pk4vN0VUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQXGCIz9D6djxrKPAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAqsUaAM4vgukMLNuu5S3fKdY70HABaoPDwdSADnvLc0pBPvBKg+8HEcK/eqWUI8UV/f9N7rjypvRU3Sat5in+HxMGxus0BZzTXnrc47jn5rC0aEAjv+ugkzGHP+8PgkaqAuP078N4Ogrvh4a9/pNMEIKM+uC93q79Q7gyBx+OZBCyUXarCLlsfNkkf1mm/UM4EgQTK6RMS0hJp+tOk4tOr0UkDCRruUt8H3hPO31dZVS3DvvGG8G/HvV6Q5ACoPntSmF9vPGqj9Pcfn/NGvUHkCKTue1rGsJPOlrdUBRPk/ATAIS6rZbU5A7tWg1AR459q4loOFqzT4SUFOHR1y5mR/zzvEg4IlVp9xf3lf9+SIlMKL70VBQwtB+Elj00erDVQRwPKkJNZp3jvM+fzNwp3mdRn4+L4AjwxwK5H6V1s2JFP4n7KlrfWvC2ACOtZ4T3THWBfsnVUXcY6gSfnJq1fEDAwXwU9aFtkj8H4GsY0PtR8Cu5cMEuGTtGmpjwwlmnXtCXy5XOmQNzndeh5rlo6w5mQdd2FPWqTyb1OvAGN8xfR4LPKvq+AjgBXM2zJr0HSDrQloK9vPvs4LhFr2XZPx6zme+5Due1R5QwksSdLNI278EkfRtOzVAIPeZhDx0AUxDz3W5x3yzCkLJOed+MtQSsJBngIzftjyjJ+TjP8szRQI5fjUSYuwcX6v9jzzM/+3Wrg0JuqvDqGaNl+ssLpnPq2oJl/taM1i7JuVZKM9EY9tNmnCphLo8o9n4y8A+5Wf5fSW/Q05p+b3ymtUGCYdKCEzd2vN4HXDglJ2UtfjF1TZXAjLnbAoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAusoYADHOmK7KwUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAgUkCbQDHt8vbuYcGyZuI3wGkiLlrrwBSZDirpRDs6ElHNr9z3sidwJC25e3sKXS96JwhUnx6cAlkmFWsOTZYoX27eIIoPjj/NP63x3OBR1X9+wI4Uog2L+xkwi5/2zWBKymOrFsbwBGn+4wceEcN4MjbsQ8DzjnyPPq6JRggoSF9bew8WXT36xnAMaUQsf2+/w543ISTTMF5Cs+79h7gxj3bTy027oZoAzj6gin6DndKof2E0/1t1/oN7/nztYEUnS7T2qCFvvNs59AiQQ8nV0XnXwX2bg46YTt3qX7WVwQ86zwfCeRcunZH4C3Vn/8UyH67Nub+U+8vgUOfq36wigCOfwAetsyX12z7TuDmKxpvTADHLYF/K/tLsELurbneck9Ly3PBJXvCGcYGcKz1nOio6oL9r5dAiSmMKYDvwgkyVtbBtk1ZF3b0AI7M2czdrh0AfLg54QSvfKj6WQIyEvazFu0r1Xry6zIPxwQTPR94eHVACXBKkNNQW/RekvGmBHA8D0iIyDJt1r14kfN4G5Bn5LQEiCQ0I2t63RIckVChrrUhSH3nczHgtUDmy6z2k7KeZ11KyMesNjaAI2Osxf6nfm9T1oZ27AQb/nTqDuf0TzjaEU2fdk16VRP8N+8QEmL38apTvsfcQ+uWQJyEoqTl+u0LZpm1nwSm1eFDCdRpAxynrq19+1vk+pnn4+cKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAITBQzgmAhmdwUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAgXUTmBrAkQO7YClgTsFb1+aFTewLfHHFZ9UXUNHt4tzlrc63L29SnvWW8hQXp1/ezN3XxgYrtAEc12sKV+edflso3Xd+5y1veJ831pTP86bpuqAu2262AI7dgGOA+i30xwGHlLez599T4JdwkzMqvLHffTaZ0nfK99P13SgBHFMLtPPd/LAC2QoBHAk7SOhB1xI6kSLyZdoiARwpUk+x+pR2SvVG+zEBHAnMyLU3tiWEKGFEXWsDOBIEURduvxq499jBgasAn6r6ryKAI4FPD5pwDPO6vqspQJ7Xf9bnYwI4zgF8D8i1mJb5+FDg4uXPz6jCOOp9LRrAseo50R1TXbB/LLDXRLitFsCR+2FCzPK8lPbGJjwnP/vnao04s4SafGOi65juVwY+PabjiD7vBf5yRr9lCu/HBnAk8CtBOnX7GHAokHl6ApAwijxvZN51bcqxTenbjR+X/6j2dz/gldWfzw7keah7vs/z8aWA34xwT5c8T94dSGhHnmGHWs45QS512FLbd0oAR7ftKvc/8pT/t9syARy7AydN3eGc/n3hLW1wRb77zIGxLYF9mcddmxfAceKIMMR237lucv10zQCOsd+O/RRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBDShgAMcG/NI8ZAUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBgiwgsEsARmhSPp4i8a0cBl59RpJe3IeetyF07GLjPOhknTOKKQN7cfB0gYSG7NPv+OZC3RX+955jGBiu0xZC3AfK28bHtn5o3UQ8FjPwSSMF02gfL+Yzdx9h+my2A4ynAk6uTfwNwr6bwtc8m8+bI6oMnAk8fQBw7T8Z+B22/HTWAI9fNZ6uDfSnw4AknmeLeuqB7KBRikWLjHEbepJ43qnftr4AUUc9ryxTTzhs7AQd14XHW0lvP22jO52MCONqwk3c3ha7zDmEn4H+qTp8ErtZs9JLm+09hfT0/5u3jICDXWddSyP2+6s8XAH5a/TlrbNbasa0tQF9FAMfTmoCKvsLnsce36n5jAjiyzxcDucbSfgbEuWtDgRljAzjWek50x1kX7KeY/cITMM8DnFr1/wBwg57tp6wLbbF7glo6475D+xGwa/lgXgjLIuEEfft8XQlMyGcJoLpodX0loCPBLOcqG34YOGCC6ZSuqwyx+XUJkMix97VF7yUZa2wAR0J+EvbTtTxvvGYEyOOAZ1b9Zq0li5xHAjZyv82zf1qC5+rjvDGQ+0LX8tyUNXmRln3kuftaJZCjC/Spx3oIkPWhry07x5fd/9RznrI2tGPnmTvP9t3fL5x3/U89tq5/uya9tYQVjh3vJkCOrWsJHkxAU92+DOxTfvDfPb9vzdvX4SXIpeu3c7Gpt5u6tvbtc5HrZ96x+7kCCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooMBEAQM4JoLZXQEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQYN0EFg3gyAF+AviL6kjvBiTYoK+dEzgNSPFfWgqsrr1uZ3nWHaWY9PalaGzP6qO+t7/n47HBCinsTzFb12YVdved+oeA61YfDAVwJMgkgSZpxwN9RY3L0m62AI4EACQoIi3F+/HLfJzX2mJUAzh+Xyzz71vVjxOWkNCEsa0NRHgR8LCejRctltwRAzj2Az5fneOvgKxFCQ1YtI0J4EiARorsc32nHQMkXGFsuyxwdNX5HSWMqd4+BdsJvOnanYGEqoxtb24KgrcBn6s2zt+/SEDE+RY8hzb8ZBUBHO3cnHrOY20W6Tc2gCOF/inGb9ungasO7HhsAMdaz4nu8OqC/TOB8wMnj0RLgNgXqr5DzwNTiuynFolvjwCOBCR8vDrvOhChndd3AeKy6pbnwxOBC65w4McAzx0Yb9F7SYYbE8CxO/CDKkxhSsDSC4GHVse96gCODP2EJkhsXyChCe35/aY8X9bhect8RVlHngrcsBok4Xe5953SM/CyARztkFP3P/Vcp6wNfWPX1//Ue/PYY23XpCOqZ+MxY2RuZo527X7AK5sNE9STsMOuJdQn1/fY9v0qPOkXZR1vt526tvbte5l1YOy52E8BBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUGCOgAEcThEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQIEdVWCZAI62cP5rwOWAFO31tbqY7ozypvf6jfPrbbQ3kOKzc5cdp9DrAkAKd+s2NoDj0sDXqw2nvFk6BfE/LPvvhhgK4GiLni/T7HcVjusVwPE0IG/QnnfOQ+eUwuEUEKflre75rvpaQjfy3aa9HbjVSKQUiz6p6msARz9c5u5u5aMfl+LJX480TlhDCvS7dg/g9T3bLlosuSMGcOT02re8x+CgkWZ93cYEcGS7NqQg39tPRu73QOA1Vd++Y269U6z71yPHT7fjgNyX0nKfSNDGL5vtPwBcr/ws63UKuL83ch+5/m9R9V1FAEfCfRLy07WDgfuMPJ617jY2gCPH8RUg98W6PRh46cBBjg3gWI850c7t/PkAIMXgY9q9gVdVHRPU8vyeDacU2U8tEp8SwFGHSh0F5LgWbQlf2KdsnGCgK5Z/T/DNFcq/Z41IcFUCfFbdbluCLerr5+kTd7JzCTVKwFraLJNF7yUZd0wAx1WAT1XH/0Dg5SPPJ4E3V676rkUAxx4lvK0LYurW6ASHfBc4R9n/u4Gbjjzusd2yz1yT16g2yD6yr7atOoAj40/Z/9hz6vpNWRv6xn5n4z30O8DU46r7t2tS7rF/ODKQLuMcAty1GnB/4MjmgNp7zq2BhNCMae3vpJkrWcfbNnVt7dt37m0vGXmtjTl2+yiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiwgYADHAmhuooACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosC4CywRw5ABTeNUVa+bPdwLePHDkfwf8TfXZfZuC13U54WYnHwGuXf1s155i9LEBHBkmbz2/UBkv4SIXBsaEjNwEeFdzbEPFdw8AXlb1fUYTYrEKx/UK4Ej4RkI4upYQk29OOIGxARwJgzh7GTcFhHcfsY/8d96EyiTgpGsGcPTDvQO4efVRwnneO8I4XWK8V9U3/35sz7aLFk3vqAEcCYFIGETXUgi7rYQgjKQ7S7exARwvAh5SbZn15BUjd/g+4AZV3xsC72+2TaDHSUD39yRS0H2xGcFM9eZXA/6z+sEnqoCdut8TgLpA//HAs0acw0VK4XlXYJ5NVhHAkbUlITQXLMeQwJ/cWxPqtL3blACOxwHPrA44wScp1h8KaBkbwLEecyKHXRfs588JPUj4wZjWzu3MxU/2bDilyH5qkfiUAI763pf1sl5Dx5xv3eehQEIYupZAmVy/dahM1o2HTR14ZP/2/nEt4GMjt627HQak2L8+j4SstW3Re0nGGRPAkXWxvv/dBXjjiPPJs0buh/XfMVuLAI4cSm2V0KyEq+S+8NzqOG8DvG3EcU/t0j7DDoX8rEUAR4517P6nnteUtaFv7ARVvaD6YNbz5tRj6/q3a1J+fkfgLSMGTLhNfsdJKFZafrdJeMevmm0zbw6tfpbfCfO74ZiWe3l+p+la7ke537dt6trat++EZL2y+iBhfnnmsCmggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCqyjgAEc64jtrhRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBSYJLBvA8VfAW6s95k3qlwfO7DmKBFl8FdipfPad8nb1FP9tr9YWfp4XOKU5mCkBHCmeSxFd1xIwUReT9Z1n/ntiis7/ovlwKIDjAsC3gPOX/jnevKX+GytEXK8AjhR8prC3a1ML4MYGcKSAPIWCaXnD/FVHWN0LOLjpZwBHP1wKON9UfZT5fM2BdaAeIW9STyBK1z4DXGXgu1m0aHpHDeDIdf+B5u3uR5WAixNHzM+2y9gAjsz9OlgggTf7AKfP2ec1mqL4BGvk/vE/Pdu9B7hR9fP7NYWuQ7tKmMf1qw8f1IQNdR+lWPzb1b3k58DlgO/NOYc3ACmGr9sqAjgyXhsw9Q/Awxf4Hle9yZQAjhRW5/7dtRRYf27GAY0N4MgQaz0nso82gOO/gcsCJ8xBzb03a1b3d3tyL00YQt9zzJQi+6lF4lMCOBLYleCutJOrovhF5k+eKXLtnLtsnOCSWNy/Gizz4kuLDD5nmwSWZS3JM0da/j3PPn3283Z/hyYA7sVAwkXatui9JOOMCeC4cnnO6Pb7VOAp8w6+hCDcvum3VgEcWZ9zTXYt9/AcY66XtAQt7Dmwvo84lZld7gz8c9VjKIxvrQI4xu5/6nlOWRv6xk5Q0XFA1o203Ndy3R0/9UBm9O8L4PgCsD+QoLpZ7bFN0NVrgDwnty3rSK7j7pk7zwj7jQgXS/8E0OxeDZhnk6/07GPq2tp3Xu3vr7ctwTQr5HYoBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBeQIGcMwT8nMFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQIHtJbBsAMfZgaObt6/Pemt2CrYOrE42Ra+3BKaEcFwHSHjH1xu0FC5+sYR8jPHcAzimKnZLAWoKu9s2JYDjT4EU0XchI6cB12sK3tvxE+pwUM9+hwI40vXJTUFngk3+shSljzn39NlWOh7Zs8F6BXC0b4ofE1hSH+7YAI6PAtcqG6awN+EQmXtDLQXZeYN9AlnqZgBHv9g5SijMRauPM0f75nXXZe8S6LBrtU0COerC3HpvixZN76gBHDm3CwOfBy5SnWjCdbKWfXbshVz6vQq4d7VNiktTLN7XEnSSwu6uvbrZtt0mx5fr5VLVB7Ou1QQDJCCgaz8r19+sAv4EYTyn2SZrYBuIVB/zPav+GfvGpfC3Pf7cp54GPL4HY1UBHCmeTphJvWYkgCNBHGNbioozX988doMR/aYEcIwY7ixdpgRwrMecaAM4crBZ+xM2cMbAyWX9ydzOvbtrjwKeN9B/SpH91CLxKQEcz28CXv4cOGLqF1j1fy1wj/LnFP7nThjDUgAAIABJREFU7zklkCVtbGjVIrtPYFmCy7r2wibEbMqYuwAnAecpG8Uz96RfNYMsei/JMGMCOLIGJPSrCxXJ82qCBH4x42QeCeRabdtaBXDk+03QzCXLDhNSk/W2a88GErgwr+1b7gsJsxsbmvJO4KbVwHk2+1jPjsYEcKzl/uede/v5lLVhaOxnNe4JNcx9LXNobMuc+SWQYI229QVwpM+87zuhMh+urq181/lZvqO+lnt57q1dy3POtWdcA/md6TDgFtU2CSi7wcD4U9fWvmESblIbvQRIKKBNAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBgHQUM4FhHbHelgAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCigwSWDZAI7sLG9APrjaawId8jblvnZ+IMXfe1Uf5k3JKdRP4f2pA9ulODZBHXcCrlCKslKcVbc3AHmzdX7+1lIAfuLAeCkEy1veu7d9p1sKxv6mp/+UAI5s3hY8p+jyEcDrmreJX7AUhT+o7DNF6nkTfddmBXAk8OBDwDWq/tn+mUAK8X86cN4XB25eCvwTQjH05vH1CuDI+X4f2Lkc738DzwA+CKR4tn4jd84phcF1GxvAkaK6F1Ub/rDM2xSC1i1v7s73kTfWp5g3x5DC+q4ZwDEwsUrh5Nubj18BJKghjl1LGELeNJ5ixwtVP893nmLLoSLeRYumd+QAjpx+ruH3lPlW86UYNX4pTE6QT19LoXfOL3O2XgvSd1YAR9bnTwJZR7r2tlL4fnyzo+uX46jDN/JG+oxx+vB04FAgYUxdS8hSiu3f1FzXeet9rre28PXuwCEzxs/6meNIiEnXsta+rHgmUCk+Oc6scwkoSPuXYtNts6oAjoyX802Bfv13RBJEkjUt3n3tXCWc5NbAHUsYVe45q2o7SgBHzmet50RdsJ+5kCLtrDefAO5XwrFq16uX+2X9HJA5dcVSwN73HUwpsp9aJD4lgONWQK7ZriWQ7OnA54CTm3U010IK8me1q80IpRp6TljFHM3x5pmua/lO8n0t2nJ9367aOE7tfWnRe0mGHRPAkX657hM607WEmCTg5GvNiSX0LeFAXZhQ+8yxVgEcOYwEEmVt6mt5Rj92xJfQ3V8z/95YQhQShvSbnm1zrn8HJGirawmcuvRA/zEBHGu5/xGnf5YuU9aGobHzLHx4Cbfo+uTeme8pAYZ5zu9rCVLJs/0dgFzLdwPyO1Hb2jWp/r0jv8cldKV+XkswRr6vBEnVv5/k94ysC0Mt4T0Jt8jvmF3LvHhAz/V9mXLfTlhh1/LMk3W4vV66z6eurX3Hmd9z8jti94yfoJ7nAu8GftD8vpb7SUJ1bAoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAisWMIBjxaAOp4ACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosDKBVQRwpIg7b9Ku356dorgUIPa1hGm8v+mffil+SsFW3vR8Sime3r28OTzBHXVLoX5fAMddmn4J9zi6FE5l/BRt71feil53/WYpAk3hatumBnDk7esfrQq+u/FS1JbwkYRI5K3sfwGcs3yY847Jo6qdzwrgSLcUnmebvAG8bil8zFuzU9iYorEESewKXK4Jk8g22zuAI8fwSuA+I2Z0X/jF2ACOFLkfVd7UXu8qRikATpDARYCrAgnhSEsYyIElzKXbxgCO2V9UW+zfXdcpPs51nUCEbcAezTDfBlJ4net1qC1aNL2jB3DkfK9SwglSoNy2M8r1nNCYFICmaDSOKVrO/1Ig27YULifMIevyUGtDadIva0e2zXWRQuC8IT6FvXXLMVwX+OKcazZFrbk+s97X7aSyj6xNmQf1Otj1SyHwmDUh4Rq5D9SFwbMOK6FFD2/eep8193kDGy1SUP3IUsTb/j2RrP+fLwEbCZnJPS2BSPGpv8N8Z5s1gGOt50RbsJ9nkMdU323uswkViPc+TRBYuuX+fx0gIWJDbcqcmFokPiWAI89dKU5vr8++454V4lD3T4F8zq9ueRbLdZp/rrplfcl30rUTyjUxFMI0Zv8J30gIR9cSUlIHAeXni95Lsu3YAI6+kKOcV+ZW5mDW8Xx3uR92a0WeURI6lJCKrq1lAEeeeWKeY6lbnl9zHYxp7f0122SuZC4lxCD/nmfirGl5Vq3Xxdxvbgy8b2BHUwI42jm7iv2POf+6z5S1YdbY+f0g97W9m04JpMt5JSQra1X3bJ+1LL/b1G1sAEeCCHMdJrQjLb8nfao8iyVEI8FVdVBa+mSeJvBrKAykO47c2/PdZh2s2zElPCv7yjNMroG6ZV4kkOb1M5Cmrq1DQyX8JiFx89o/lnVjXj8/V0ABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUmChgAMdEMLsroIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgqsm8AqAjhysA8rb0juDjwF9wkzGGoJ1sjbsq+/wJn+D3DNUiRWb563PbcBHGOGT1F03hydgIC+NjWAI2OkGO69PSEcfeOnGC0O9weeUHWYF8CRrinAS4DFncacaNMnxaB5W3ZdrNp1SUFmiuO6NrYgPv1zLgkG6dpQIWD3eYr8Uiidgr5ZbZkAjoybAJIU4Ce4ZF5LOEAKeY9r3gJvAMc8OYjRU4Czz+/62x65/m4KfG9O/0WLpjdCAEdOPeEEKbxO4elYu5Ys4Q1PB14HjClivxfw0hK2MebrSjBHvquvjOlczukdJWRjzCY55oS4/M3I48+YKR5+TU8Rb7u/V5UC2vRPEFLXHgC8YuDgFi2ozv0kx5Tgo6ktRecpul9Va0NxEp7ykRUNXocRZMgECmSOzGqZ52s1J9qC/XzXuRbuOuJ8U0ye7y2hMbPalDkxtUh8SgBHjjEhD//eE2jUHv/YAI6+UJ4p9/4RzGfpkuCbR1Q/eT6QAJtlWgK0ElaUZ6O0X5bAsx9Xgy56L8kQYwM40vceQNadNuCi7/wSmpYwilsBL646rGUAR3ZzaE9Aybxntvr4+wI4xnx/CZCITwJShtqiARyr2v+Yceo+U9aGeWMnZOvV5Tl0Xt/28wRY3Lqss+1nfWvSQSUoI+GE81rmaQIQvz+vY/k8AR5Z79vQtaHNu+C7vt9L6m2mrq1D+0sIYq6BzONZzQCOkV+43RRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBqQIGcEwVs78CCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooMB6CawqgCNvuE7hbYI1unbDJoih75wS1vCo8rbtnWec9BnAfwLvLMEdebN22xJYkaKzm5S3OaeAbVb7Yim8/icgoR5DbZEAjoyVosvHAA8vhejt+D8BXgs8FUjgQwrnpwZwdGOmyO2xwI163jZd7zdv0E7x+buBBJYMFUuvZwBHjm8n4Jal2PAKpWA2BXb5edeWDeDIOCkCTEF6gkfqsbt95G3tKcZLgERspnz3U/oucn234ydsIT9bRVumILlv/3nTfebzXwIpcOxrxwIvAHL9ZV7Oa4se40YJ4OjO/1JAQiFuC+Tf57WExHy4BA0cPq9zz+e5B6QA9zZV0Xrb7btAClD/ATht4j4SJnJ34NElBKdv84T9fJD/H96SouupLddyAnNyXV8RuAiQQt6EKiVQISECR5ZBUzz8vmoHCS9688AOlymozvr1YODewGXmnFDCZz5QwpD+Y+T1MNZoRwvgyHGv1ZwYKthP0EyeM/buQUtAQ9b8BD+cOAJ1ypyYWiQ+NYAjh3uBcn3l3p9jS+hLnsfqv6c0NoAjY2UuJsSiawlSS6DaqlueMXJ91oFYq9rXm4A7VgecYJGXVH9e9F6SIaYEcKT/1cszx1Ag3fElaOE5ZW2dcmxT+g59f3lOT1hc135anr9OH/mFZ67kmTvhNQn3udic7TLH8/08c0SIw5gAjrXc/0iC/+02ZW0YO3bmTQKp8j3luh5q+R0m12me7Q8BThjoOLQmZez8/nEf4EI922Ze5Bkgz3X5fWxKyz5zDhk79+a+lt+B3go8eUQYW7afurbOO96E3+T5YRuQ3yUzfh2cYwDHPEE/V0ABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUWFDCAY0E4N1NAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFNgyAimiS6HZxUsB6bmAvCE7bzL/KnA0MLYgMGgp8L0ssBewJ3A+4MwyZgoePw/kn+vRUsR1rVKEfUHgpLLvFMtPLWSbd7znAFJse+kS+pG3wCdUIm9//xrwlfLneeNs9s93K99J5lvmWgJdumL9FO7bViOQIsZrloLGFIbHNvP/COCY1exiU4/yR8Dly7qY4visJSlUTTFs5mxCJVLQvIqWAKRrAAnkSJBSggnyXX0J+MIqdgBcErhyKbrP3Mi6lHCPjwE/X9E+5g2TYvwXVZ0OKAEm87Zb5vPcg3LeKWzOPSDF0vkev13ubUNBSMvsc6Nsu55zIsXVCeG4aJnfKVL/EPCzjYK1xseZe2FCSLLWpH0ZSJiSbXmBhPD8RQkg+E1xTohWQhPybLq92lWAT1U7T1BJ1shFW66ty5W1PvMo95VTy7N87iVHzQm8W3S/3Xbbe//LHv/Q9gkyyz0koVx5luqe7XP/757t4zyvzQuuyO8QeQ7IupxwnDxrZJ5+BEhQ1jItf3cya/A+5RkjzzP5HS/jf2IF4y9zbG6rgAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiwnQQM4NhO8O5WAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRQoAm8Bbl9pJBAjRcY2Bba6wB2BN1UIfw28cKujbPLzfzlw/+ocr7DCwKVNTrchT29eAMeGPCkPWgEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQYOMKGMCxcb87j1wBBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFNr7A7sAJwM7lVI4F9tr4p+UZKLASgQ8CB5SRTgf+CPjJSkZ2kB1RYBfge8D5ysF9FrjyjnigHtPKBAzgWBmlAymggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCqxCwACOVSg6hgIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosJjAm4E7VJs+FXjKYkO5lQKbSmA/4PPVGb0euMemOkNPphV4KPDC6of3Al4j06YWMIBjU3+9npwCCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosPEEDODYeN+ZR6yAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACO67Ag4FzAK8ATptxmOcuheb3rfqcAfwJ8J0d9/Q8MgXWReDswPuBA6q9XQn4r3XZuzvZHgK7A0cB+WfaD4GLz1lHt8dxus/VChjAsVpPR1NAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFhSwACOJQHdXAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUqASeAjwZ+AVwKHA48BXgp8C5gIsC1wbuCVykkXsU8Dw1FdiCAgld2KWE11waeDhww8rhXcDNtqDLZj7lPwZ2Kt/7fmXd3Ks64UcDf7+ZATy33woYwOFEUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUU2KEEDODYob4OD0YBBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFNrhAF8Ax9TReBdwf+M3UDe2vwCYQ+FfgtgPncTpweeDYTXCensLvBH4E7DoAktCiKwK/FGzTCxjAsem/Yk9QAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFNhYAgZwbKzvy6NVQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAgR1b4KHACycc4g+Bg4CXTNjGrgpsNoGhAI5fAXcB/mWznbDnw1AAx/eB6wBf02hLCBjAsSW+Zk9SAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFNg4AgZwbJzvyiNVQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAgY0hcDHgJsDVgb2B/Pl8wE7Az+C3hef/BXwIeCtw6sY4LY9SgTUTqAM4ErqREIYPA38PfGnN9urA21OgDuA4HTgOeCfwXCDBRLatIWAAx9b4nj1LBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUGDDCBjAsWG+Kg9UAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUGAtBAzgWAtVx1RAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUU2DACBnBsmK+K44DzAd/aOIfskSqggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAKTBC4B/AK45KStluxsAMeSgOu4+Y/Pfe5zX3Dvvfdex126KwUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBYrA5z4HZ555Vo5t2+RRQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUGClAkcffTSnnXbaT4BdVzrwnMEM4FhP7eX2dcS2bdu2HXHEEcuN4tYKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgosInC2nr963AZyLDKu2yiggAIKKKCAAgoooIACCiiggAIKKKCAAgooUAnsv//+HHnkkUcC+68njAEc66m93L4M4FjOz60VUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBZYRMIBjGT23VUABBRRQQAEFFFBAAQUUUEABBRRQQAEFFBgpYADHSKiR3c4PbCtpJn8OXArYHdgNOCfwc+AbwKeANwKfHTlu1+1CwN2BWwOXBHYFTgKOAf4VeANw8sQx53U3gGOekJ8roIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCqydQF8AxwknwJ57rt0+HVkBBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBgywkYwLHar/y1wD0mDPlO4P7A90Zsczvg5SV0Y6j7t0tAx+EjxhvbxQCOsVL2U0ABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRYvUBfAMfOO8Ppp69+X46ogAIKKKCAAgoooIACCiiggAIKKKCAAgoosGUFDOBY7VdfB3D8BDgaSCjGycA5gIsDVwV2qXZ7HHCNOSEcCd94K3C2sl3+a8EHge8DlwCuA+xUPjsNOAD41IpOzQCOFUE6jAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKDARIHznx9+8Yv+jc48c+JgdldAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQYFjAAI7Vzo4HliCM9wPHAH3/r37CNx4NPKkK1Hg7cKuBQ0lox1eBc5XPDwduD/yg6v8nwL8B+5SfnQhcBjh1BadnAMcKEB1CAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUGABgbN176/r2dYAjgVA3UQBBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBgSMAAju03N54G/G3ZfYI6/hj4bs/hvB64W/n5t4B9gVN6+u0JfBk4f/nsycBBKzg9AzhWgOgQCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAILCBjAsQCamyiggAIKKKCAAgoooIACCiiggAIKKKCAAgosImAAxyJqq9kmgRvHV0PdHHhnM/SuwPeBPyg/vztwyIzdPwl4avn8JGAP4DdLHq4BHEsCurkCCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigwIICBnAsCOdmCiiggAIKKKCAAgoooIACCiiggAIKKKCAAlMFDOCYKra6/jsDp1fD3Rl4UzP8PYFXl5+dAuzebNMeTRvqcW3g8CUP2QCOJQHdXAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBgQYFZARy77AKn5K/Y2hRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUWF7AAI7lDRcd4YrAkdXGVwM+2Qx2CHDX8rP3AzccsbNjgT8p/Q4Cnjxim1ldDOBYEtDNFVBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUWELjQheCHP/zdho95DDznOWcd6MwzFxjYTRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUU+H0BAzi2z6w4J/Au4Ppl998GLg38ujmcBHQkqCPt2cBjRxzuW4Dbl36HArcbsc2sLgZwLAno5goooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCwic7Wxn3ShhG30/W2BoN1FAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQoBUwgGP95sTOwEWBawGPBPYtu/4lcAvgvT2HcipwnvLzBwIvH3G4ifV+dOl3FPBnI7aZ1cUAjiUB3VwBBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQYAEBAzgWQHMTBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAgUUFDOBYVG7+dhcBTpzT7XjgTsAnevqdCzit+vltgLfN3y2PAJ5X+mX/Cf1YphnAsYye2yqggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKLCZgAMdibm6lgAIKKKCAAgoooIACCiiggAIKKKCAAgoosJCAARwLsY3aaFYAx2+AFwGPBc4YGG034IfVZzcG3jNizw8EXlr6nQKcd8Q26XLEQL/Lbtu27TxHHDH08cjR7aaAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooMAUgb4Ajle9Cu5739+Nsttu8MP6r9xO2YF9FVBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRT4nYABHGs3GxJ88axq+Pz5ksCVgHOVnx8PPBw4rOcw/hjI5127HvChEYd7L+Dg0u/XwB+M2CZdDOAYCWU3BRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQIE1FthrLzj22N/t5K53hUMO+f9/7gvmWOPDcXgFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBzS9gAMf6f8cXBP4GeHT+7/+y+wcDL20OZTegjuO+MfCeEYf7wGqsU4AEfyzTjti2bdu2I44YyudYZmi3VUABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQoEdgVsiGARxOGQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQIE1EDCAYw1QRw75cOD5pe8vgX2BY6ptzwWcVv35NsDbRoz9COB5pd+JwEVHbDOriwEcSwK6uQIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKDARAEDOCaC2V0BBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBgWQEDOJYVXHz7swNfBS5ThngBkPCMup0KnKf84IHAy0fs7jnAo0u/o4A/G7HNrC4GcCwJ6OYKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAhMFDOCYCGZ3BRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAgWUFDOBYVnC57V8GPKAM8Wngqs1wRwJXLD97NvDYEbt7M3CH0u9Q4HYjtpnVxQCOJQHdXAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBgosCsAI7HPx6e9azfDXiJS8Bxx03cgd0VUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFDirgAEc23dGPBN4XDmEY4G9msM5BLhr+dn7gRuOONyM8yel30HAk0dsM6uLARxLArq5AgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooMAEgW3b4HOf+90Gt741HHbYWQeYFdAxYVd2VUABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFCgEzCAY/vOhdcAB5ZD+DRw1eZw7gm8uvzsZGB34IwZh7wncEL1+bWBw5c8RQM4lgR0cwUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBCQJjwjXG9JmwS7sqoIACCiiggAIKKKCAAgoooIACCiiggAIKKGAAx/abA+cEjgMuWg4hYRz3ag5nV+AHwE7l53e/jIVbAAAgAElEQVQD3jDjkJ8IHFQ+PwnYA/jNkqdoAMeSgG6ugAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKDBBYEy4xpg+E3ZpVwUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFDOBY3Rz4Q+BnwJkjh3w28Jiq702Bd/ds+3ogwRtpCezYFzi1p98fAV8GLlA+ewrw1JHHMqubARwrQHQIBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQIGRAmPCNcb0Gbk7uymggAIKKKCAAgoooIACCiiggAIKKKCAAgooEAEDOFY3Dw4EHgm8CDgU+MnA0JcuwRh3qT7/CHDdgf6XAI4GzlU+/zBwR+Ckqn/GfFsJ58iPvw9cBjhlBadnAMcKEB1CAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUGCkwJhwjQMPhNe97ncD7rsvfPGLI3dgNwUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFfl/AAI7VzYoEcLymDPcb4JgSnJEgjl8DfwjsA1yu2eVRwAFNoEZ7VH8FvAU4W/ngdOADJWjj4mX7nf4fe3cC9vlY7w/83YxhskyWIsMQkaUONSEiZS1HJ0KlvxaUVEo5OhxbHZEt4ZBCshTiUCJpEVF2RjmKFlszjDVLhBnG87/u75lnnmWWZ/v9fs9veX2v61xnzPf+fu7P/frcT5fjjHez3z0/+69vrNHRBHDUCFIZAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBAQTe857kF7/oWfS2tyU3zuePxQ4mqAM4AQIECBAgQIAAAQIECBAgQIAAAQIECBAYpIAAjkFCDWLZh5OcN4h13UteSnJqkgOT/GMQ35UQjlOSLL2AtVOTfCzJNYOoN9glAjgGK2UdAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAyASGEqoxlLUj68rXBAgQIECAAAECBAgQIECAAAECBAgQINABAgI4ajvk1yXZKsmGSd6YpPz1kknGJnkmyWNJ/jfJtUnOT/LIELdfNsmuSbZPsmqSpZI8nuTPSS5K8v3Z+wyx7AKXC+CopaZaBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC8xcYSqjGUNYyJ0CAAAECBAgQIECAAAECBAgQIECAAAECAwgI4HBFBhIQwDGQkPcECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK1ERhKqMZQ1tamO1UIECBAgAABAgQIECBAgAABAgQIECBAoI0FBHC08XBrdDQBHDWCVIYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGAAgaGEamy7bXL55T0FN988ufJKxAQIECBAgAABAgQIECBAgAABAgQIECBAYFgCAjiGxdZRHwng6KhxOywBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYJQEPvrR5JxzejZfffXkL39ZcDNDCewYpWPZlgABAgQIECBAgAABAgQIECBAgAABAgRaQ0AAR2vMaTS7FMAxmvr2JkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0isBwwjSG802neDonAQIECBAgQIAAAQIECBAgQIAAAQIECAxJQADHkLg6crEAjo4cu0MTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBBosMJwwjeF80+Bj2Y4AAQIECBAgQIAAAQIECBAgQIAAAQIEWkNAAEdrzGk0uxTAMZr69iZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdIrAcMI0hvNNp3g6JwECBAgQIECAAAECBAgQIECAAAECBAgMSUAAx5C4OnKxAI6OHLtDEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQaLDCcMI31109uvbWn0Z12Si68sMGN244AAQIECBAgQIAAAQIECBAgQIAAAQIE2kFAAEc7TLG+ZxDAUV9f1QkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBPbfPznmmB6H5ZdPpk8fnMtwgjsGV9kqAgQIECBAgAABAgQIECBAgAABAgQIEOggAQEcHTTsYR5VAMcw4XxGgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwSIGRhGiM5NtBtmcZAQIECBAgQIAAAQIECBAgQIAAAQIECLS/gACO9p/xSE8ogGOkgr4nQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYsMBIQjRG8q25ECBAgAABAgQIECBAgAABAgQIECBAgACB2QICOFyFgQQEcAwk5D0BAgQIEGgSgRdffDGHH354zjvvvEydOjUzZ87MxRdfnO23375JOhx6G//1X/+VQw89NL/+9a/zrne9a+gFhvFF2eeaa65JV1fXML7u+8nrXve66jfuv//+EddSgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQ1gIjCdEYybdtjepwBAgQIECAAAECBAgQIECAAAECBAgQIDAUAQEcQ9HqzLUCODpz7k5NgACBphN4Rb//J/nCCy+cCRMmZNKkSZk8eXJ23HHHbL311hk7dmzT9F5CF1ZZZZV8/OMfz1lnnVXTvkrYxrLLLpt3vOMdufTSS6vaRx11VA444IBsuumm2WSTTTJu3LjsvPPOWXPNNWu6dyOLCeBopHb99zrssMPy5S9/udroiiuuyJZbbjnPTZ999tkcf/zxueiii3LPPfek/PyvtNJK2XjjjXPyySdXd9tDgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQItJnASEI01lor+dOfekA++9nk5JPbDMhxCBAgQIAAAQIECBAgQIAAAQIECBAgQKDeAgI46i3c+vUFcLT+DJ2AAAECbSHQHcDxla98pTrPrFmz8tRTT+WPf/xjrrvuusycOTPrrbdezj333LzhDW9oijPXM4Djl7/8Zd797nfnjDPOyG677Vadt4Ru3H777fn73/+eElDSDo8AjnaY4v+d4bbbbsuGG26YRRZZJCVgY34BHOXnZquttsrdd99dBcy87W1vS1dXV8rvX3XVVZk6dWoWX3zx9oFxEgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQCA58sjkwAN7JJZcMnnyyaHJjCTAY2g7WU2AAAECBAgQIECAAAECBAgQIECAAAECbSoggKNNB1vDYwngqCGmUgQIECAwfIHuAI7yL+L3fx555JF8/vOfz4UXXphJkybl1ltvzbLLLjv8zWr0ZT0DOD7zmc/kO9/5Th5++OG8+tWvrjpeddVV8/LLL1dBBe3yCOBoj0m+8MILKf+Hx6te9aqsttpq+f73vz/PAI4XX3wxG2ywQRWsc9FFF+V973tfH4ASvDNmzJh0/+dBe+g4BQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIJBahGfUooZRECBAgAABAgQIECBAgAABAgQIECBAgEBHCwjg6OjxD+rwAjgGxWQRAQIECNRbYEEBHGXvEjyxxRZb5Oqrr84XvvCFnHDCCXNamjJlSr73ve9V76ZNm5bnnnuuCuoo/3L/wQcfnKWWWmrO2lNOOSUl3OLQQw/Nl7/85bmOVQIvyrdrrrlm7rjjjvkeuzs4Yl4LzjzzzOy6667Vq9L3aaedlu9+97u56667UgJG1l577ey+++7Zc889q7CB/k9Zs8IKK2SNNdbIr3/966rW2WefPde6lVdeuQrj6B0EcuCBB+aQQw6pvnv88cdz1VVX5V3velf17V//+tccdthhufLKK/PYY49VwR5bbrlltX711VfvU793MMZDDz2UY489tup/ySWXzM4775wjjzwyiyyySFX/q1/9am677baMHTs2733ve6vZLLPMMoO6MgsK4Ch9fv3rX8/NN99czXSllVbKDjvskAMOOKAKeuj/PPHEE/nGN76RSy65JPfee2/GjRuX173uddlmm22qMy622GLVJ8XjmmuuqWbR+ylnef/731+tu/zyy/PmN7+5el3WnXzyyfn2t7+de+65pzpbWfe1r30t6667brWmfyjKjBkzcvzxx+e8887L3XffnYUWWqhaW4JkPvjBD87Z9tlnn83SSy+d9ddfP9ddd92c33/++eere1vqlLv90Y9+dM67b33rW9lrr72qO1XuUe8zlYCLY445JuUOTp06tQqq+X//7/9Vc1944YUHNZPhLNpnn31y6qmn5ve//32OOOKI6r5eccUV1f3q/Zxxxhn5xCc+kS996UvVbD0ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAhwjUIjyjFjU6hNsxCRAgQIAAAQIECBAgQIAAAQIECBAgQGDeAgI43IyBBARwDCTkPQECBAg0RGCgAI7SRAlkKP9CfwkVKEEZ3d98+tOfzsUXX5x3vvOdVXjGrFmzqkCI3/72t1lrrbVy0003ZYkllqjOUQIPSrhFCXC47777qtCI3k8JDzjooINy0kkn5XOf+9x8z17CPn784x/nv//7v6tghe23337O2vLr7vCGXXbZpQphKH2V8IjSc+n1b3/7WxWMcO655861x/XXX5+NN944J554YhXYUPYpwQbdoSNf/OIXq29KGEb5dXcAxyabbJI//OEPecMb3pC3v/3tKSEOn/rUpzJ58uTccsstld0zzzxTBZOUEJA//elPVVjF4osvXtmut956c3rpDsYoPf/sZz+rzrf88svnl7/8ZbXHxz/+8Wy33XZVGMe2226bVVddNaXvG264Ie95z3uqbwbzzC+Ao4Q5lKCUEobxgQ98oJp5MS+zLL2XsIpy/u6nzHKzzTarXMvfAJe7UMJP/vKXv+RXv/pV/vznP1dhHOWZVwBHmUMJsyjn+PnPf54SbtL9lMCXMoty/p122qkK9ihuJSDjwQcfrIItegdwzJw5M1tvvXUV8lGCXEooSQkQueiii/Loo49WASLlnnU/ZW7lXCVApPuelp632mqrakmxPuuss+asLz388Ic/rPbs7rP7TMWq3PsSOjJhwoQqSKQEr5QQlxLKUY+nhL2UcJwSOFKsugNj5hXAUe5guWvlDpXZlnvy1FNPVeEq5d4MNrilHudQkwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKijQC3CM2pRo45HVJoAAQIECBAgQIAAAQIECBAgQIAAAQIEml9AAEfzz2i0OxTAMdoTsD8BAgQIVAKDCeCYMWNGFRbx0ksv5d57780qq6xSfVtCF1ZcccW5wjS++93v5pOf/GSOOuqo7L///nOkS7DGySefnJ/85CdVOEL309XVlde//vV55JFHMn369CqkY0FPd/BF/4CE7m9+8IMfVCEbb3nLW/Kb3/ym6r08//znP6uAiClTplQBHGVN7+c//uM/cuyxx2bq1KlVcEf30x0g0Tvsobzr7qP8un+4Q/m9cq7uwI1zzjknJRSk+7nggguqEI011lgjd955Z8aMGVO96g7GKCEON954YxVkUp4ygxLoUcI7SgDGj370o+os5SmBF+9+97urwIvf/e53c0JIFmQ4rwCOMs8SIrLIIovk5ptvrkIsup/Pfvaz+fa3v5099tgjp5122pzfL4ElJQCkBFsUg97P448/XtmPHz+++u3+ARzHHHNM/vM//7MKLbn00kuz9NJLz/m8Owyl3IvSS/e7F154oQr8KDYlBKP3TI488sgceOCBVQhGqbfQQgtV9Ur4xgYbbFDd1xIgUvYrz5e//OUcdthhueyyy6owk+45fv3rX8+mm25aBWhMmzZtjnEJIyl385577pnTZ/eZymxK8EV3n+WulYCYElBSwkJe+9rXzvmmhHr0v0sLmlW5fyVco/fz9NNPZ5111qnCTUpASvk5XlAAR+m7BJSU85Y5lZ/l7qcEcpSgkxKE4iFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTaTKAW4Rnlzz088kgPzNFHJ/vt12ZQjkOAAAECBAgQIECAAAECBAgQIECAAAEC9RQQwFFP3faoLYCjPeboFAQIEGh5gcEEcJRDlgCBEpBx0003VWEGC3pK8EQJiSh/Q3TVVVfNWfrHP/4xb3rTm6rwjRLC0f384he/yHve857stttuOeOMMwY0HSiAY6uttqrCKErdrbfeuk+9K6+8MltuuWUV4tC7t7JotdVWy1JLLZVbbrmlzzcDBXAst9xyVbhDCa7o/ZSwh0022SQbbbRRFVLR/3nHO96Ra6+9Ntdcc00V+FCe7mCMgw8+uApL6P189atfzVe+8pV89KMfzfe+970+784+++wqgKGEO5RgkoGeeQVwfO1rX0vZd15hIk8++WQVePHiiy/mqaeeqs5agkzWW2+9KvCj/Lo7RGR+e3eHVcyaNSt77713Fcayww47VGEo3SEd3d+WoI/TTz+9ug/lXvR+SuBEmV//AI7VV1+9CscogSa9w0PKt92hML3vWHEvPe2zzz457rjjqi3K3S4/Ex/72MdSAmP+/Oc/V6Ekt912W3Wf+weQdJ+phG+Ue9X7KbMqM+sfONP9zUAz6n5fglbKmXs/pb8SwvK///u/WXXVVatX8wvgKOEtxXfs2LEp9iVoppythKNccskl1SxKYEj5mdl8880H25Z1BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQLMLXHBBsvPOPV2+8pXJc88Nr+taBHkMb2dfESBAgAABAgQIECBAgAABAgQIECBAgEAbCAjgaIMh1vkIAjjqDKw8AQIECAxOYLABHCVk4tFHH83NN9+c9ddfvypewhhOPfXUnH/++VXowdNPP52XX355zsYluKAEGPR+SphACaa47777MmnSpOrVjjvuWIUJDCbco6wfKIBjmWWWqUIinn/++Sy88MJ99n/ppZeqMIIlllgiJVSi+ylBBuuuu25KCMWBBx7Y55uBAjhKyEcJ++j/nHTSSVW4wUEHHZTDDz98rvfdAQ0nnHBCvvCFL1Tvu4MxfvzjH2e77bbr800JpCgBEL3Xdy8o4QkleKTsU/Yb6JlXAEf3HOYVJlHqldn95je/ye9///vKqgRolCCH/fffP0cdddRAW1ZhFyX0Yvvtt0853+c///nqLPMK7pj9N9NVoEZ3wET3BiVEosxwhRVWqO5CeZ555plMmDCh+r0HHnhgrl7KfSt1SljI7373u+r9zJkzq6CYEtxx++23V/e33J399tuvCjlZe+21861vfSuf+cxncuyxx1bBFT/4wQ+yc68/mNJ9pnKXSq3eT/e8SlhKqVerp/yslFkV/89+9rNzys4vgOO5557LYostNudn7aKLLurTSvc9nd89rlXf6hAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQINFqhlaEYtazWYwXYECBAgQIAAAQIECBAgQIAAAQIECBAgMPoCAjhGfwbN3oEAjmafkP4IECDQIQKDCeB44YUXqsCKEl5Rggy6Ayl22GGHXHzxxVWwwaabbprXvva1WWSRRSq5EqxQAgm6AxK6OS+44IIqwODLX/5yDj300Dz88MNVEMeb3vSmOcEIA9EPFMCx0EILZamllspjjz02z1KlzxIm0jsspPRSQinuuuuurLnmmn2+GyiA42Mf+1jOPvvsufYqYRiHHHJIvvnNb2avvfaa6/0pp5xShTuUfUsYR3nmFYzR/eFZZ52V3XbbLWeeeWZK2ELv5+qrr85mm21W1Sk1Bnrmtc+WW26ZK6+8Mn/4wx/yxje+ca4SZW5lfmWvEsZRwkoOPvjgnHjiiVWYxkBPd1jF0ksvnX/84x+5/PLLq9CQeT2rrbZaFb7x7LPPzgmP6L2uzLCEcHTfrxK6Ue7Reuutl1tuuWWukuUOv/KVr6zubrnD3U8JnSjhJeUe3nDDDVU4SPnrLbbYogrz2GijjVICK7bZZpsqZKWsW3bZZed8332mrq6uufZc0LwGsprf+yeeeCJrrLFG1llnnarP7p/fsn5+ARzlXfm5LIEj55xzTnbZZZc+5bvtys9r71Ca4fboOwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBJBGoZmlHLWk3Cow0CBAgQIECAAAECBAgQIECAAAECBAgQaJyAAI7GWbfqTgI4WnVy+iZAgECbCQwmgKP8i/4lKGG55ZarAgjKc+utt2b99ddPCW0oQQrjxo2bI1OCLRZffPEqqKB/AMeLL75YBSWUkIy//e1vOfroo3PQQQfl29/+dj796U8PSnegAI5lllkmTz31VEroQu++SvESIlKCG0p/ZU338+Y3vzkzZsyoAjj6PwMFcHz84x9PCVvo/5x00knZe++9q5CKww47bK73JSzjq1/9ao4//vh88YtfrN6PZgDHjjvumB/96EdzAij6N1xCN37zm99UQSnF6+STT87nPve57L///jnqqKMGnF13WMXtt99e3ZsSwvHDH/4w22677Vzfzv6b6SqEowS89H5mzZpVzbAEZHTfr2eeeSYTJkzIiiuumGnTps1Vr4RulDrrrrtufv/73895X/o+4IAD8oMf/CDXX399TjvttOpelPof+chH8rOf/SzTp09PuVOrrLJK7rjjjj61hxPAUe5K/5+LBeGV+9cduFJ6f8tb3jKgdVnQ+16VwI7S+2WXXTaX9z//+c/q56GEdJSfGQ8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQJgK1DM2oZa024XUMAgQIECBAgAABAgQIECBAgAABAgQIEBi8gACOwVt16koBHJ06eecmQIBAkwkMFMBRwjS22GKLXH311dlnn31y3HHHVSc4//zz8+EPfzgnnnhiPv/5z/c51Y033piNNtooK6+88jyDBkogxde+9rVcfPHF+fd///c89thjVcjBEkssMSidErCw0korVQEJ3//+9+f6poQ7XHnllfMMkrjqqquq82y22WYpvy5PdzhDCWI44ogj5qo33ACOa6+9Nu94xzuyySab5Le//e1cdbsDLa655ppsuumm1fvRDOA4/PDDc8ghh8wzMKSEUpR5zpw5swqoKGENU6ZMyXrrrVeFcZRfjxkzZoHz6x1WUYJOyhz+/ve/54ILLsj222/f59s99tgjp59+es4444zstttufd6Vu1jm1/9+rbbaarn33nvz5z//Oauvvnqfb0qdT3ziE1Wt8uvu55ZbbskGG2yQT37yk7nhhhuqkJlyd8pz5plnZvfdd6+CLMrd/8IXvpATTjihT93hBHB0fzOoy56k3JNy5vKUu3/ooYfO89MSjvLXv/4122yzTSZOnJidd965CjopT+m/9F4CR0pgSu/npptuyoYbbpg11lgjf/rTnwbblnUECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAswvUMjRjqaWSXv9lN/nOd5JPfrLZBfRHgAABAgQIECBAgAABAgQIECBAgAABAk0iIICjSQbRxG0I4Gji4WiNAAECnSSwoACORx99NJ/73Ody4YUXVoEXJWTh1a9+dcXTHbKxww475Ic//OEcsvJNCQC47bbb5hvAMXXq1Ky66qp57WtfmwcffDCf+tSncuqppw6a/dlnn82ECROqcIsSXtH/Oe+887LLLrtk/fXXr4ILFl100WrJc889lxJ+UEIXzjnnnGpNeb7xjW/kS1/6Um6++ebqm/7PcAM4urq6stZaa1WBEMVwp512mlP6oosuygc+8IG84Q1vSAmj6A6vGM0Ajvvvv7/qp3jdeuutKYEW3U8JWfnmN79ZBVV8p/wBitnPxhtvnOuvv74KLikBJr2fEq6x2GKLZfz48dVv9w+ruPvuu7P55pvnoYcequbxoQ99aM7n1113XRVc8vrXv76ay9JLL129e+GFF6rwjXL/+gdwlB4OOuigbLfddtWdHDt2bPXN448/Xs21nK8EoZS63U8JmFlmmWUybty4KgimBMMceOCB1etyT8seyy67bMq9vuSSS/K+972vzxmHE8Ax6Is+xIW77rprzj777FxxxRVzgje6S5RgjX/5l3+pzlpmu+KKK87xfO9731uFjnzlK1+pAmA8BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQBsIXH99svHGPQcZNy6ZOXNkB6tloMfIOvE1AQIECBAgQIAAAQIECBAgQIAAAQIECLSYgACOFhvYKLQrgGMU0G1JgAABAnMLdAdwlH/5vjwlkOCpp57KH//4x1x77bWZOXNmNthgg5x77rl9AhlmzZqVd77znSlBCRtttFEVavDII4/kZz/7WdZYY43ce++9VahBCT2Y11NCEi699NLqVQn2mDx58pDGU/a86aab8uEPf7gKjShhCyUcYZ111qnqlDCH//mf/0kJz9h+++1TzvnjH/849913Xz74wQ/mggsumLNf6f1vf/tbpk2bNs8ehhvAUYqVHrfaaqv885//rIIh1lxzzSqQo/RSwilKWMLb3va2OfuOZgBHaeJb3/pW9tprryyxxBKV09+OyIUAACAASURBVGte85oq5OSGG26oei/z7g7DKOuLZwmhKGEV5W+Ay69L8Mhf//rX/PKXv0wJfuj2m1dYRXEvIRzlf59xxhn52Mc+Nsdi7733zkknnZTll1++Ci8p96mEYCy11FJVcMvCCy/c536Vu7rFFltU9/aNb3xj/vVf/7UKXSnhJyVAY7/99svRRx8914zL/Sh1y1OCPXrPo4SQ3HPPPdX9KoEir3rVq/p83yoBHKXp4447Lvvuu281v3Lmcv9+8Ytf5C9/+Ut15l//+td55StfOaSfQ4sJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBJhXoH5YxdWoyadLImhXAMTI/XxMgQIAAAQIECBAgQIAAAQIECBAgQKCDBQRwdPDwB3l0ARyDhLKMAAECBOor0B3A0b1LCTUo4Qsrr7xyFYqx4447Zuutt86YMWPmauSJJ57IwQcfnMsvvzwPP/xwVlhhhSr4ovze2muvXa2fXwBHCTwoIQDrrbdebrnlliEf8u67784+++yT66+/Pk8++WQV+nDmmWdm1113rWqVIJFTTjmlCnW48847q99ba621svvuu+czn/nMnPOU0JCJEydWoRMnnnjiPPsYSQBHKVgCNw4//PD86le/yuOPP55Xv/rVVVDEIYccUoWV9H5GO4Cj9FKCM4499thqLiXAYtKkSdlhhx1y4IEHZskll5zLqARTHHPMMVWoSAnSGD9+fBW6se222+aggw7KoosuWn0zv7CKEqZRPEpoR5nZHnvsUa0vMz355JOr/ymBLssss0ze//7354gjjsi66647z/v1wgsvVEET5513XhWcsdBCC1Vry3xLWMu8nhLyUcI+JkyYkHKnS9hG97PnnnvmtNNOq0JoSphK/6eVAjhK7z/96U/zjW98owq9mTFjRlZdddXK5Utf+pLwjSH/p5APCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAEwvUIyyjHjWbmFBrBAgQIECAAAECBAgQIECAAAECBAgQIFA7AQEctbNs10oCONp1ss5FgAABAoMS6A6aOP300/OJT3xiUN/UY1EJVyghC1dddVU222yzemyhJgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHGCtQjLKMeNRurYjcCBAgQIECAAAECBAgQIECAAAECBAgQGCUBARyjBN9C2wrgaKFhaZUAAQIEaivwzDPPZPXVV8+LL76YadOmZdFFF63tBkOots022+SWW27JI488krFjxw7hS0sJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQINKlAPcIyyp/xef75ngNfeGGy005NCqAtAgQIECBAgAABAgQIECBAgAABAgQIEGgmAQEczTSN5uxFAEdzzkVXBAgQIFBHgZ/+9Ke57bbb8pOf/KQKvTj22GOz77771nFHpQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0mMC0aclKK/UcesyYZNas2iDUI9ijNp2pQoAAAQIECBAgQIAAAQIECBAgQIAAAQJNLCCAo4mH0yStCeBokkFogwABAgQaJ7Drrrvm7LPPznLLLZfdd989hx9+eMaU/we/hwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB2gj0D8mYOjWZNKk+tbu6alNXFQIECBAgQIAAAQIECBAgQIAAAQIECBBoawEBHG093pocTgBHTRgVIUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQmCPQP4CjliEZ9axthAQIECBAgAABAgQIECBAgAABAgQIECDQtgICONp2tDU7mACOmlEqRIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUAnUMySjnrWNjwABAgQIECBAgAABAgQIECBAgAABAgTaVkAAR9uOtmYHE8BRM0qFCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKoF6hmQsvHDy4os90DfckGy4IXgCBAgQIECAAAECBAgQIECAAAECBAgQILBAAQEcLshAAgI4BhLyngABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYPAC06YlK63Ud31X1+C/H2jlAw8kkybVr/5A+3tPgAABAgQIECBAgAABAgQIECBAgAABAi0pIICjJcfW0KYFcDSU22YECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgTYXGDs2efnlnkNOnTp3YMZICV7xir4VahnwMdLefE+AAAECBAgQIECAAAECBAgQIECAAAECTSkggKMpx9JUTQngaKpxaIYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0OICjQjHaMQeLT4G7RMgQIAAAQIECBAgQIAAAQIECBAgQIBAXwEBHG7EQAICOAYS8p4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGDwAo0Ix2jEHoM/sZUECBAgQIAAAQIECBAgQIAAAQIECBAg0AICAjhaYEij3KIAjlEegO0JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAm0l0IhwjLFjk5df7mGbNi1ZccW2YnQYAgQIECBAgAABAgQIECBAgAABAgQIEKitgACO2nq2YzUBHO04VWciQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIyGQAnCWGmlvjt3ddW+kwceSCZN6qk7Zkwya1bt91GRAAECBAgQIECAAAECBAgQIECAAAECBNpGQABH24yybgcRwFE3WoUJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAh0msMgiycyZPYe+7rrk7W+vD8IrXtG3bj2CPurTuaoECBAgQIAAAQIECBAgQIAAAQIECBAgMAoCAjhGAb3FthTA0WID0y4BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoGkFGhmK0ci9mhZcYwQIECBAgAABAgQIECBAgAABAgQIECAwWAEBHIOV6tx1Ajg6d/ZOToAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCorUAjQzEauVdtlVQjQIAAAQIECBAgQIAAAQIECBAgQIAAgVEQEMAxCugttqUAjhYbmHYJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAk0r0MhQjP57TZuWrLhi09JojAABAgQIECBAgAABAgQIECBAgAABAgRGV0AAx+j6t8LuAjhaYUp6JECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0gkAjAzhuvDHZaKMelXHjkpkzW0FJjwQIECBAgAABAgQIECBAgAABAgQIECAwCgICOEYBvcW2FMDRYgPTLgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgKQUWXTR5/vme1s4/P/nQh+rbaiMDP+p7EtUJECBAgAABAgQIECBAgAABAgQIECBAoM4CAjjqDNwG5QVwtMEQHYEAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMOoCoxGGMRp7jjq0BggQIECAAAECBAgQIECAAAECBAgQIEBgOAICOIaj1lnfCODorHk7LQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgPgKjEYYxGnvWR09VAgQIECBAgAABAgQIECBAgAABAgQIEKizgACOOgO3QXkBHG0wREcgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIy6wGiEYYzGnqMOrQECBAgQIECAAAECBAgQIECAAAECBAgQGI6AAI7hqHXWNwI4OmveTkuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqI/AaIRh3HBD8va395znla9MnnuuPudTlQABAgQIECBAgAABAgQIECBAgAABAgRaWkAAR0uPryHNC+BoCLNNCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJtLLDMMskTT/Qc8IgjkgMOaMyBRyP4ozEns8u8BHbcMfnRj/7vTblzSy3FiQABAgQIECBAgAABAgQIECBAgAABAoMSEMAxKKaOXiSAo6PH7/AECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRoIjGYIxmjuXQM6JYYoYN5DBLOcAAECBAgQIECAAAECBAgQIECAAIFuAQEc7sJAAgI4BhLyngABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYMECoxmKMJp7uxeNFZg+PVlhhb57dnU1tge7ESBAgAABAgQIECBAgAABAgQIECDQsgICOFp2dA1rXABHw6htRIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBoU4HRDMEYzb3bdJxNe6yFFkpmzerb3jnnJLvs0rQta4wAAQIECBAgQIAAAQIECBAgQIAAgeYREMDRPLNo1k4EcDTrZPRFgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEGgVgdEMwTj99GSPPXqkllwyefLJVpHT51AE+t+z7m+7uoZSxVoCBAgQIECAAAECBAgQIECAAAECBDpUQABHhw5+CMcWwDEELEsJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgT6Cay0UjJtWs9v7rdfcvTRjWUazQCQxp60s3cTwNHZ83d6AgQIECBAgAABAgQIECBAgAABAiMUEMAxQsB5fL5ikq2SbJrkX5KskmRCkueSPJbk1iSXJbkwyYxBbH91kncOYl3vJZ9JcsoQv5nfcgEcNYJUhgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQkQLNEH7RDD105PAbeOjp05MVVpj3hm96U3LHHQ1sxlYECBAgQIAAAQIECBAgQIAAAQIECLSigACO2k1tnSSnJnlbklcMouyDSfZI8rMB1grgGASmJQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAk0q0AzhF83QQ5OOp23a6j/j/gfr6mqbozoIAQIECBAgQIAAAQIECBAgQIAAAQL1ERDAUTvXnZJc2K/c/UluT/JYkvFJ3ppkrV5ryj/F3T3JWQtoo3cAx5VJ/jSIls9Pcu0g1g1myZTJkydPnjJlymDWWkOAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgr0AzhF80Qw/uRX0FBHDU11d1AgQIECBAgAABAgQIECBAgAABAh0gIICjdkPuDuAooRtnJDknyX3zKL9FkjOTTJr97sUk6ya5az6t9A7g2G2AsI7anaankgCOeqiqSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDoFIFmCL845phk//17xJdbLnn44U6ZQGecs/89W3bZ5NFHe84+dmzy0kudYeGUBAgQIECAAAECBAgQIECAAAECBAgMS0AAx7DY5vnRO5KsMTsgY6B/Mvv6JL9PsvjsSucl2WU+rQjgqN2MVCJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEGikwBvfmNx5Z8+OH/lI8v3vN7KDnr2aIQhkdE7e/rveemuy/vp9z9nVlZh5+8/eCQkQIECAAAECBAgQIECAAAECBAjUUEAARw0xh1jq60m+NPubp5MsOZ/vBXAMEdZyAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBJhFopgCEZuqlScbTNm30n+2DDyYTJ84dwDFlSjJ5ctsc20EIECBAgAABAgQIECBAgAABAgQIEKitgACO2noOpdp2SX7c64NlkjwxjwICOIaiai0BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEDzCDRT6EUz9dI8E2qPTuY32/33T445pu8Zu7ra48xOQYAAAQIECBAgQIAAAQIECBAgQIBAzQUEcNScdNAF/y3Jpb1WvybJ4/P4WgDHoEktJECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaCqBZgq9aKZemmpIbdDMgmZr7m0wYEcgQIAAAQIECBAgQIAAAQIECBAg0BgBARyNcZ7XLgclOXz2i+eSLJ5kXnHKvQM4/ivJA0lWSbJokieT/C3JtUnurdNRpkyePHnylClT6lReWQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbYVaKbwg732Sr71rR7q178+ufvutqXvmIOdcEKyzz49xx07NnnppZ6/7n8HP/jB5IILOobHQQkQIECAAAECBAgQIECAAAECBAgQGLyAAI7BW9Vy5dgkdyVZfXbRS5NsN58NegdwLKiHm5IcluSntWw0iQCOGoMqR4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDoCIENN0xuKn/Edfbz7ncnP//56B69mQJBRleifXbvP9MHH0wmTuw530MP9f3r8qZrXv+9ie1D4iQECBAgQIAAAQIECBAgQIAAAQIECAxPQADH8NxG+tW+SY7tVWSrJL+aT9HBBnB0f35ykr2TvDzSJmd/L4CjRpDKECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQ6SqAZwy6asaeOuhR1OOxgZjqYNXVoTUkCBAgQIECAAAECBAgQIECAAAECBFpLQABH4+f11iS/TfLK2VtfluTfFtDGVbPf/TjJjUnuTvKPJIsneUOS9yX5bJKletU4Psm/D/FoU+azfs3JkycvOmXK/F4PcRfLCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEOkOgGUMPmrGnzrgN9TvlYGY6fnwyY0ZPD4stljz7bP16UpkAAQIECBAgQIAAAQIECBAgQIAAgZYUEMDR2LG9NsktSVacve1DSdZN8tgC2lgmyd8HaHOFJJcmmdxr3duT3DCE4wngGAKWpQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgMIDCYYodGIzdhTow3aab99902OO67nRCVo4/nn531Cs2+nyTsLAQIECBAgQIAAAQIECBAgQIAAgboICOCoC+s8i74qya+TvGX22+eSbJXk+hq1UMI97kqy5Ox6JZBjuxrUnjJ58uTJU6bML5+jBjsoQYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0H4CzRh48IEPJBdd1GO93nrJLeW/X8/TkgJDuWP9106fniy/fEseW9MECBAgQIAAAQIECBAgQIAAAQIECNRHQABHfVz7V10syc+TbDL7xYwk/5bkihpvf3iSg2bX/GeSpZPMHOEeAjhGCOhzAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEDHCeywQ3LxxT3Hfstbkttuaw6GoYQ2NEfHupifwFBmufXWyRX9/vh2VxdbAgQIECBAgAABAgQIECBAgAABAgQIzBEQwFH/yzA+yU+TbD57qxeT7JjkJ3XY+p1Jru5V9w1J/jrCfQRwjBDQ5wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBjhMYSjBCo3GaubdGW7T6fkOd5VDXt7qP/gkQIECAAAECBAgQIECAAAECBAgQGJKAAI4hcQ158SJJLkny7tlfzkqyc5KLhlxpcB+UwI0/91r69iQ3DO7T+a4SwDFCQJ8TIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDpOoJmDDpq5t467KCM48LbbJpdf3lNg2WWTRx5ZcMH+sz/ssOTgg0fQhE8JECBAgAABAgQIECBAgAABAgQIEGgnAQEc9ZvmuCQ/SvLe2Vu8nOSjSc6r35Z5S5LbetVfN8n/jnA/ARwjBPQ5AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDjBJo55KKZe+u4izKCAw9njrfdlrz1rX037eoaQRM+JUCAAAECBAgQIECAAAECBAgQIECgnQQEcNRnmgsluTDJ9rPLl38qu3uSs+qz3Zyqn0hyeq89XpPk8RHuKYBjhIA+J0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0nMBwwhEahbTFFslVV/XstvnmyZVXNmp3+9RKYLh3bLjf1apvdQgQIECAAAECBAgQIECAAAECBAgQaFoBARy1H83YJOcl+eDs0iV849NJTqv9VnNVvD7JRrN/944k69RgTwEcNUBUggABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQMQKf/nRy6qk9x33d65L77muu4wthaK55DKeb4c5wzJikq/wR79nPyisn998/nA58Q4AAAQIECBAgQIAAAQIECBAgQIBAmwkI4KjtQMckOTvJR3qV/XySbw5zm8WTPDvIb/8zyZG91v5HkmMH+e2ClgngqAGiEgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBjhEYbjBCI4FaocdGerTaXmuvndx1V0/Xa62V3Hnn4E9h/oO3spIAAQIECBAgQIAAAQIECBAgQIBABwkI4KjdsF+R5DtJPtGr5L5JjhvBFjcmuT3J95Ncn+TledRaIcmh/fb9a5J1krwwgr27PxXAUQNEJQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECHSPQCuEGrdBjx1yYYRx0pPMb6ffDaNknBAgQIECAAAECBAgQIECAAAECBAg0v4AAjtrN6LNJTu5VbnqSi4dQ/r+TlOCM3s/vk6w7+zeenh3GMS3JM0kWS7JGkslJFur10UNJ3pHkniHsvaClAjhqBKkMAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKAjBFoh3KAVeuyIyzLMQ450fqutltzT749bd3UNsxmfESBAgAABAgQIECBAgAABAgQIECDQLgICOGo3yf9K8pURlNssydX9vu8dwDFQ6fJPfEvgx2eSPDrQ4iG8F8AxBCxLCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIdLzDScIRGAK6zTnLHHT07ffzjyVlnNWJne9RCoBZ3rBY1anEWNQgQIECAAAECBAgQIECAAAECBAgQaBoBARy1G0U9AjiWT7JRkg2TrJfktUmWSbJUkplJnkzypyTXJzk3yV9qd5w5lQRw1AFVSQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAWwoceWRy4IE9R3vNa5JHa/nfLVdDNQEMNcRsYKnllut7p/71X5Of/nToDfSf/2WXJdtuO/Q6viBAgAABAgQIECBAgAABAgQIECBAoG0EBHC0zSjrdhABHHWjVZgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0GYCrRRq0Uq9ttk1GdFxajW3k05K9t67bytdXSNqzccECBAgQIAAAQIECBAgQIAAAQIECLS2gACO1p5fI7oXwNEIZXsQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBNpBoFbhCI2waKVeG+HRKnvUcm61rNUqfvokQIAAAQIECBAgQIAAAQIECBAgQGC+AgI4XI6BBARwDCTkPQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwP8JtFKgQSv16n71CNRybv1rbbppcs01tAkQIECAAAECBAgQIECAAAECBAgQ6FABARwdOvghHFsAxxCwLCVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdLRALcMR6g252mrJPff07HLAAckRR9R7V/VHIrDoosnzz/dU2HPP5JRThl/xoYeSiRP7ft/VNfx6viRAgAABAgQIECBAgAABAgQIECBAoKUFBHC09Pga0rwAjoYw24QAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEvs2IgAAIABJREFUQIAAAQIECBAg0OICp56afPrTPYeYMCF5+unmPlQrBYY0t2RjuqvHvOpRszEadiFAgAABAgQIECBAgAABAgQIECBAoMYCAjhqDNqG5QRwtOFQHYkAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUHOBVgwyaMWeaz64FipYj3ktuWTfoJhx45KZM1sIRasECBAgQIAAAQIECBAgQIAAAQIECNRKQABHrSTbt44AjvadrZMRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBGonUI9whNp1N+9KrdhzvU2atf706ckKK/TtrqurNt26B7VxVIUAAQIECBAgQIAAAQIECBAgQIBAiwsI4GjxATagfQEcDUC2BQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECg5QVaMcSgFXtu+YsyzAMstFAya1bPx8cfn3zxi8Ms1u+z/veghH0sv3xtaqtCgAABAgQIECBAgAABAgQIECBAgEDLCAjgaJlRjVqjAjhGjd7GBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEWEmjFMIvXvCZ5/PEe5KOPTvbbr4XQO6jVet6v3XZLzjqrL2ZXVwfhOioBAgQIECBAgAABAgQIECBAgAABAkVAAId7MJCAAI6BhLwnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHS6wAUXJDvv3KMwfnzy/POtoVLPYIfWEGiNLus9p3rXbw1lXRIgQIAAAQIECBAgQIAAAQIECBDoaAEBHB09/kEdXgDHoJgsIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0sEArhxe0cu+dcuWmT09WWKHvabu6anv6/vdgr72Sb36ztnuoRoAAAQIECBAgQIAAAQIECBAgQIBAUwsI4Gjq8TRFcwI4mmIMmiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQINLFAK4dYtHLvTXwlatpa/xndckuy3no13SIPPZRMnNi3Zq1DPmrbsWoECBAgQIAAAQIECBAgQIAAAQIECNRYQABHjUHbsJwAjjYcqiMRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBGoq0MohFq3ce02H2MTFGjWjRu3TxNRaI0CAAAECBAgQIECAAAECBAgQINDJAgI4Onn6gzu7AI7BOVlFgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOhcgVYOLpgwIXnmmZ7ZXXhhstNOnTvLZjx5o+7XuHHJSy/1CCyzTPL4480ooicCBAgQIECAAAECBAgQIECAAAECBOogIICjDqhtVlIAR5sN1HEIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAjUVuP76ZOONe0outFDy4os13aLuxRoV8FD3g7ThBrfemqy/ft+DdXXV76DuQv1sVSZAgAABAgQIECBAgAABAgQIECDQ5AICOJp8QE3QngCOJhiCFggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECTSvQP7Bg6tRk0qSmbXeejQldaN559Z/Ngw8mEyfWr193oX62KhMgQIAAAQIECBAgQIAAAQIECBBocgEBHE0+oCZoTwBHEwxBCwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBphVoh8CCdjhD016QETbW6NlMnpz87nd9m+7qGuEhfE6AAAECBAgQIECAAAECBAgQIECAQCsICOBohSmNbo8COEbX3+4ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgeYWaHRAQj002uEM9XBphpqjMZvR2LMZrPVAgAABAgQIECBAgAABAgQIECBAoMMFBHB0+AUYxPEFcAwCyRICBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQMcKtENYwfjxyYwZPSO84YZkww07dqRNc/ATTkj22aennTFjklmz6t9e/zt9zjnJLrvUf187ECBAgAABAgQIECBAgAABAgQIECAwqgICOEaVvyU2F8DREmPSJAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgFASmTUtWWqln4xJc8PLLo9DICLd84IFk0qS+Rbq6RljU5yMW6B+E8eCDycSJIy47YIFzz00+8hH3YUAoCwgQIECAAAECBAgQIECAAAECBAi0l4AAjvaaZz1OI4CjHqpqEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTaQWDMmKR3UMXUqXMHWbTKOfuHPQjgGP3JjeZMRnPv0ZfXAQECBAgQIECAAAECBAgQIECAAIGOFBDA0ZFjH9KhBXAMictiAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAHCbRTSEE7naVdruBozqT/3m96U3LHHe0i6xwECBAgQIAAAQIECBAgQIAAAQIECMxDQACHazGQgACOgYS8J0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0qsBoBiTU2rydzlJrm9Got+++yXHH9ew8fnzy/PON7cSdaKy33QgQIECAAAECBAgQIECAAAECBAiMsoAAjlEeQAtsL4CjBYakRQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAqAi0U0DBuHHJSy/1ME6blqy44qiw2jRJM9ytZujBZSBAgAABAgQIECBAgAABAgQIECBAoGECAjgaRt2yGwngaNnRaZwAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEeBElCx0kp9N+jqquOGdS79wAPJpEntc546c9W9fDOEXyy3XPLooz1HHTu2b0hL3RFsQIAAAQIECBAgQIAAAQIECBAgQIBAIwUEcDRSuzX3EsDRmnPTNQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgvgLjxvUNI7juuuTtb6/vnvWu3gyhD/U+Y6vUb5ZZNEsfrTI3fRIgQIAAAQIECBAgQIAAAQIECBBoYQEBHC08vAa1LoCjQdC2IUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0lEA7BhO045la6lLNbnbbbZPLL+/p/NWvTh57bHRO0v9OTJmSTJ48Or3YlQABAgQIECBAgAABAgQIECBAgACBugoI4Kgrb1sUF8DRFmN0CAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAjQXaMayiHc9U47E3pFwzzWH//ZNjjul77K6uhjDYhAABAgQIECBAgAABAgQIECBAgACBxgoI4GisdyvuJoCjFaemZwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAvQWaKSShVmcdMybpHa4wbVqy4oq1qq7OYAWa7W41Wz+DdbSOAAECBAgQIECAAAECBAgQIECAAIEhCQjgGBJXRy4WwNGRY3doAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMAAAu0YSvDAA8mkST0HHzs2eeklV6HRAs12t/r388EPJhdc0GgV+xEgQIAAAQIECBAgQIAAAQIECBAgUGcBARx1Bm6D8gI42mCIjkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqKnA+PHJjBk9Jc8/P/nQh2q6xagVa7bwh1GDGKWN1147ueuuns3XWiu5885Ramb2tg89lEyc2LeHrq7R7cnuBAgQIECAAAECBAgQIECAAAECBAjUXEAAR81J266gAI62G6kDESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRGKNDOIRXtfLYRjr0hnzerf7P21ZCh2IQAAQIECBAgQIAAAQIECBAgQIBAZwgI4OiMOY/klAI4RqLnWwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAOwq0cxhBO5+tFe5is/qPH5/MmNEjuNhiybPPtoKoHgkQIECAAAECBAgQIECAAAECBAgQGKSAAI5BQnXwMgEcHTx8RydAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIzFOgWUMSajGu/mebNi1ZccVaVFZjMALNfLeaubfB2FpDgAABAgQIECBAgAABAgQIECBAgMACBQRwuCADCQjgGEjIewIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBApwm0cxDBjTcmG23UM9FFFkleeKHTJjw6511uueTRR3v23myz5KqrRqeXee3a/95Pn54sv3zz9KcTAgQIECBAgAABAgQIECBAgAABAgRGJCCAY0R8HfGxAI6OGLNDEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQGKfCqVyX/+EfP4lNOSfbcc5Aft8iydg4YaeYRNLv71lsnV1zRV7Crq5lF9UaAAAECBAgQIECAAAECBAgQIECAwBAEBHAMAatDlwrg6NDBOzYBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYJ4CzR6SUIuxdcIZa+FU6xqt4N4KPdZ6LuoRIECAAAECBAgQIECAAAECBAgQ6BABARwdMugRHFMAxwjwfEqAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaDuBTggg6IQzNuPFbAX3/j0edlhy8MHNqKknAgQIECBAgAABAgQIECBAgAABAgSGKCCAY4hgHbhcAEcHDt2RCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLzFWiFkISRjq8TzjhSo1p/v+iiyfPP91Tdc8/klFNqvcvI6912W/LWt/at09U18roqECBAgAABAgQIECBAgAABAgQIECAw6gICOEZ9BE3fgACOph+RBgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECDRTohHCKiy5KPvCBHtTFFkuefbaByB24VSvdq1bqtQOvkiMTIECAAAECBAgQIECAAAECBAgQGK6AAI7hynXOdwI4OmfWTkqAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQWLDAsssmjz3Ws+aII5IDDmhPNSELjZ1rK3mPGZN0dfX4rLxycv/9jfWyGwECBAgQIECAAAECBAgQIECAAAECNRcQwFFz0rYrKICj7UbqQAQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBYQq0UkjCMI8457NOOutIrUb6/fTpyQor9K3SO+BipPXr8b37UQ9VNQkQIECAAAECBAgQIECAAAECBAiMqoAAjlHlb4nNBXC0xJg0SYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBogEAnhQ500lkbcHUWuMVCCyWzZvUsOf745ItfHO2uFry/+9Hc89EdAQIECBAgQIAAAQIECBAgQIAAgWEICOAYBlqHfSKAo8MG7rgECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfkKdFLoQCeddbSvfCtar7Zacs89feW6ukZb0v4ECBAgQIAAAQIECBAgQIAAAQIECIxAQADHCPA65FMBHB0yaMckQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAwo0IpBCQMeaj4LTj892WOPnpdLL538/e/Drea7BQm06r1q1b7dRgIECBAgQIAAAQIECBAgQIAAAQIE5ikggMPFGEhAAMdAQt4TIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDpBYJVVkvvv7znpnnsmp5zS3icXsFD/+U6fnqywQt99urrqv28tduh/Py67LNl221pUVoMAAQIECBAgQIAAAQIECBAgQIAAgVEQEMAxCugttqUAjhYbmHYJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAnUR6MQwik48c10uzwKK9je+5JLkfe9rdBfD2++kk5K99+77bauEhwzvxL4iQIAAAQIECBAgQIAAAQIECBAg0NYCAjjaerw1OZwAjpowKkKAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaHGBTgyj6MQzN/qatrpxq/ff6HnbjwABAgQIECBAgAABAgQIECBAgEATCwjgaOLhNElrAjiaZBDaIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMqkAnBg104pkbfcla3bh//5tumlxzTaMV7UeAAAECBAgQIECAAAECBAgQIECAQA0EBHDUALHNSwjgaPMBOx4BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYFACrR6UMKhD9lt04IHJkUf2/ObKKyf33z+cSr6Zl8Cttybrr9/3TVdXa1k99FAycWJrn6G1xHVLgAABAgQIECBAgAABAgQIECBAoG4CAjjqRts2hQVwtM0oHYQAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMEyByZOT3/2u5+P3vz/50Y+GWazFPuvE4JFGjai/7YMPzh1m0aheRrKPOzISPd8SIECAAAECBAgQIECAAAECBAgQaBoBARxNM4qmbUQAR9OORmMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQYJdHLAQCefvd7Xq11sl1wyefrpHq2FF05mzKi3nvoECBAgQIAAAQIECBAgQIAAAQIECNRYQABHjUHbsJwAjjYcqiMRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBIYk0C5BCUM69OzFnXz24XgN5Zt2sm2nswxlhtYSIECAAAECBAgQIECAAAECBAgQaCMBARy1H+aKSbZKsmmSf0mySpIJSZ5L8liSW5NcluTCJEONNV42yceSvH923WWSPJrkL0kuSnJOkmdqfCQBHDUGVY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0HICnRwu0Mlnr+dFPfvsZNdde3YYMyaZNaueO9a3dv97Mn16svzy9d1TdQIECBAgQIAAAQIECBAgQIAAAQIEaioggKN2nOskOTXJ25K8YhBlH0yyR5KfDWJtWbJTklOSlNCN+T1/mx3Q8ZtB1hzMMgEcg1GyhgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQzgKdHEJRQiJKWET3s+aayV13tfO0G3O2/nfqwQeTiRMbs3c9dtltt+Sss/pW7uqqx05qEiBAgAABAgQIECBAgAABAgQIECBQJwEBHLWDLQEZF/Yrd3+S25M8lmR8krcmWavXmvJPVHdP0u+ftM7VVKn9P72CPV5IcmWSh5O8Lsm7koyd/dXzSTZPcmONjiaAo0aQyhAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEWlLgXe9Krrmmp/V3vjO5+uqWPMqwm+7kAJJhow3wYTuatuOZ6jV/dQkQIECAAAECBAgQIECAAAEC/5+9+wCboywXPv4/6SSBACnUgBAghCIYpAt8tCCidAEFBUSkCAiCCIiiIHDoAoIREWmeDwSBeCSCCKi0HCWhSA0h0hOS0EJCevJdz8n7fluyu+/s7uzuzM5/rutcR959yn3/nmdnS3buUUCBBApYgCO+RekswBGKbtwA3Ar8u8TwuwK/AYZ2PLYA2AwoVwZ7beCljgIeocvfgYOAd/PGXg+4B9i4429TgPWB2TGkZwGOGBAdQgEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFEitgEUFQIP4t287mhbn9O1vw89/Hr+dIyqggAIKKKCAAgoooIACCiiggAIKKKBAQwQswBEf6w7AcOBGYGEXww4Dngb6d7T7L+DQMn1uBr7W8Vgo7rEpMKtE2zWB54ABHY+dA5wbQ3oW4IgB0SEUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECB1Aq0Y6GEahdDg2rFKrc/9VS4/PJcm969Ye7ceOdoxWhTpsDqqxfOvGRJKyJxTgUUUEABBRRQQAEFFFBAAQUUUEABBRSoQcACHDWgxdTlEuC0jrE+AlYsMe5AYCrQo+OxrwO3VJj/R8BPOh6fBqwGLK4zXgtw1AlodwUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUCDVAhafAA3i3cLt7NnOucW7CxxNAQUUUEABBRRQQAEFFFBAAQUUUECBxAlYgKN1S7IPcE/e9KHYxvtF4RwJ3NDxt1nAYKBSaeehwBt5Y+wE/L3OFC3AUSeg3RVQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQIFUC1hQAPbaC8aOzS3jdtvBY4+lellbGnw776mePWHhwhzvwIEwY0ZLuZ1cAQUUUEABBRRQQAEFFFBAAQUUUEABBaIJWIAjmlMjWn0J+EPewKG4RvE3q7cAh3W0eQAYFSGQV4D1OtqdC5wToU+lJhbgqBPQ7goooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooEBqBb72Nbj11lz4G20Ezz+f2nTqCrydi0bUBVND53a3bPf8alhyuyiggAIKKKCAAgoooIACCiiggAIKKJAGAQtwtG6VfgD8tGP6T4D+wJKicCYAn+n420XAGRHCvR04qKPd74EDI/Sp1MQCHHUC2l0BBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRIrYCFBHJLp0U823ivvWDs2NxYAwfCjOL7GMYzVctGca+0jN6JFVBAAQUUUEABBRRQQAEFFFBAAQUUqEfAAhz16NXetzvwIrB+xxB/APYpMdxsoG/H348DRkeY8mLgex3tQnnxTSL0qdTEAhx1AtpdAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUSK2AhQRyS6dFPNs4C44jR8JTTxV6LSm+V2M8nI6igAIKKKCAAgoooIACCiiggAIKKKCAAvEJWIAjPstqRjoVuDSvw+7AX4oG6APMyfvb/sDdESb5LnBZR7spwOoR+lRqYgGOOgHtroACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCqRWIAvFEqIujhZRpSq3y4pjVvKMZ1c4SrUCW28N//gH3HADHHlktb1tr4ACCiiggAIKKKCAAgoooIACCihQRsACHM3fGlsAjwDLdUz9R+BLJcIYBEzP+/uewH0Rwj0OuLaj3Sxg+Qh9QpPxZdptOHLkyL7jx5d7OOLoNlNAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUSJ+ARQRya7b99vD447n//sIX4N5707emrY44K3uqOM9bb4VDD221vvOnXWDaNFhllcIsFi+G4v2W9jyNXwEFFFBAAQUUUEABBRRQQAEFFGiRgAU4mgu/KvBPYM2OaacAmxUV2uiMaCjwRl54uwIPRQj3G8CvO9otAnpE6BOaWIAjIpTNFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAgUwIHHss/PKXuVSHDoU38n/emgmFwiSzUjyiUUu72Wbw7LO50UeMgBdeaNRsrR33t7+Fww4rjGHJktbG5OzpFvjUp+D110vn4N5K99oavQIKKKCAAgoooIACCiiggAIKJEbAAhzNW4oBwMPAZzqm/ATYHcgrg10QzKCiwhx7AvdFCPc44NqOdrOA5SP0qdRk/MiRI0eOH1+uPkedo9tdAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUCCZAhabWHZdNKlvr2bNL2v51rc77F1JoHgvFbe9+mo44QQNFVBAAQUUUEABBRTPmkNCAAAgAElEQVRQQAEFFFBAAQXqFLAAR52AEbv36yie8bmO9vOALwEPVOjfB5iT9/j+wN0R5vsucFlHuynA6hH6VGpiAY46Ae2ugAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKpFLA4gHLLpsm9W3lrPkV57vJJvCvf9VnaO9sCWy0Ebz4YrSclyyJ1s5WCiiggAIKKKCAAgoooIACCiiggAJlBSzA0fjNEQpp3Avs0jHVAuAA4L8jTD0b6NvR7jhgdIQ+FwPf62j3PLBJhD6VmliAo05AuyuggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAKpFMhasYQoi6RJFKXybbLol8Wc69sl9u4UKN47+TKh2Ebx46usAlOn6qeAAgoooIACCiiggAIKKKCAAgooUIeABTjqwIvQtTcwBtijo+0i4BDgzgh9Q5MJwGc62l4EnBGh323AwR3tfg8cGKFPpSYW4KgT0O4KKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKBAKgUsHLDsso0YAS+9lPv78cfDNdekcnmbHnQoDjBtWm7anXeGhx5qehhNn9DnUdPJUz/hjjvCI4+UTmOHHeDvf1/62E03wRFHFLYLhTk8FFBAAQUUUEABBRRQQAEFFFBAAQVqFrAAR810XXbsCdwFfLGj5WLga8B/ddkz1+AW4LCO/3wAGBWh7yvAeh3tzgXOidCnUhMLcNQJaHcFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFAgdQIXXghnnZULe+WV4b33UpdGQwK2oEJtrFl1W201mDo1Z9a9OyxcWJuhvdpfoPh5kp9xqeIapdpbhKP994kZKqCAAgoooIACCiiggAIKKKBAwwQswNEY2h7AHcC+HcOHMrLfAG6scrojgRs6+nwMDAbmVRhjTeDNvMd3AjrK21Y5c665BThqprOjAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgookFKBrBZLiLJc2kRRWrZNlt2ynHttuyV7vfbaC8aOLZ33iBHwwgvlTYr311//CjuFSwk8FFBAAQUUUEABBRRQQAEFFFBAAQWqFbAAR7ViXbfvDvwXcFBH01B841jguq67LtNiIPAuEMYMx9eAWyuM80Pg3I7HpwGrAYtrmDe/iwU46gS0uwIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKJA6AQsGlF8ybWrbzll2K859/HgYObI2R3u1n0Dx/sjPcEm4HKGLY8UV4aOPChtF6dfVuD6ugAIKKKCAAgoooIACCiiggAIKZFDAAhzxLno34CbgsLxhTwR+Xsc0N3cU3ghD/BvYFJhdYrw1gOeAFTse+zHwkzrm7exqAY4YEB1CAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUSJVAlosldLVQ2nQltOzjffvCnDm5vx9zDIweXf04ae3x/e/DxRcXRm+BhLSuZnxxH3UU3HBD6fHWXhteey36XMXnpQ03hBdfjN7flgoooIACCiiggAIKKKCAAgoooIAC/ytgAY74NsJ/AL8Cjsob8lTg8jqn+BQQvvnq0zHOw8AhwLS8cYcBd3cU5wh/ngqsD8yqc+7Q3QIcMSA6hAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKJAqAYtMlF+uNdaAd97JPX7mmXDBBala3qYH634CDZq+7RI9YfF+yA/23XdhyJDqwj/7bDj//MI+FnmpztDWCiiggAIKKKCAAgoooIACCiiggAU4Yt0DxwPX5I0YvlUPRTGiHlcCr5Rp/GXgdiAU+QjHXOAvHYU21gZ2Abp3PBZKQ4f/Hhd14i7aWYAjJkiHUUABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBVIhcPvtcEi4X1zH0a8fzIrjvnCpyD5akBZTiObU2UqvZQtwHHQQhOeaR7YEzjgDLrqodM6DBsH06bV7lCrqYRGO2j3tqYACCiiggAIKKKCAAgoooIACmRTYYostmDBhwoRQi6OZAJ2FJJo5Z6Pn+jFwTh2T7Az8tUL/UIRjNLByhTZvAF8H/lZHHMVdLcARI6ZDKaCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAokXsFhC10ukUddGnS1CAYBu3QrbZ7EowJQpsPrqOkTfOe3XslSBjM4s330XhgypL+dQvKN4jOefh402qm9ceyuggAIKKKCAAgoooIACCiiggAIZErAAR3yL3egCHCHS8I3aEcC+wLrASsAM4GXgTuAW4OP4UvrfkSzAETOowymggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAKJFrC4RNfLo1HXRp0tevSARYty7a+4Ak4+OXr/dmrpvmmn1Yyey89+BqecUrp9//7wcYyXAPTqBQsWFM6VxYI30VfHlgoooIACCiiggAIKKKCAAgoooECBgAU43BBdCViAoyshH1dAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQXaScAiAV2vpkZdG3W20Cpn1acPzJuX++9+/WDWrOiWtkyfQLduUK4AxtSpsMoq8edU/JzbeWd46KH453FEBRRQQAEFFFBAAQUUUEABBRRQoA0FLMDRhosac0oW4IgZ1OEUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBRAtYMKHr5Rk4EN5/P9fuV7+Cb36z635ZbOF+Klx1PbLxLLjrLjjggNK59upVWIglbpGDD4bf/a5w1HJFQOKe2/EUUEABBRRQQAEFFFBAAQUUUECBlAtYgCPlC9iE8C3A0QRkp1BAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUSIfD447D99rlQGn2heCKSrjEICyl0DffOO7DGGoXtsl4IoHjfBKPVVuva0hbpEejRAxYtKh3vgw/CLrs0PpfifRZiWrCg8fM6gwIKKKCAAgoooIACCiiggAIKKJByAQtwpHwBmxC+BTiagOwUCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQCIEii/afuMNGDo0EaElLggLcHS9JMVGY8bA3nt33a+dW4waBQ88UJhh1ouStMt6P/QQ7Lpr6Wy6d4eFC5uX6fTpMGRI4XzTpsHgwc2LwZkUUEABBRRQQAEFFFBAAQUUUECBFApYgCOFi9bkkC3A0WRwp1NAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQVaJmBRiej0WnVtpVFpI1263jtpa9G7N8yfXzrq3/8e9t+/+Rl16wbFxV0s9tL8dXBGBRRQQAEFFFBAAQUUUEABBRRIlYAFOFK1XC0J1gIcLWF3UgUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUKAFAhYGiI6uVddWGpU2KnY57zw4++yuPW2RPIHnnoNNNy2/zosXtzbm4r12zDEwenRrY3J2BRRQQAEFFFBAAQUUUEABBRRQIMECFuBI8OIkJDQLcCRkIQxDAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUaLiABROiE/ftC3Pm5NrfcQcceGD0/u3e8sknYcstC7NcsqTds46W34QJsMUW2kTTSm6r/v1h9uzS8V1/PRx1VOtj33ZbGDfOvdb6lTACBRRQQAEFFFBAAQUUUEABBRRIiYAFOFKyUC0M0wIcLcR3agUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUKBpAm++CWutlZuue3dYuLBp06dyIguWlF+2Ypu334bVV0/lMjckaPdOQ1ibMui0abDKKuWnSlqhmeK9ttxy8MknTaFyEgUUUEABBRRQQAEFFFBAAQUUUCBtAhbgSNuKNT9eC3A039wZFVBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAgeYLFF+k/cYbMHRo8+NI04wWUSi/WtpU3sndukF+oYa114bXXkvT7s9mrIMHw4wZpXM/91z44Q+T5/LCC7DxxoVxJa1ISPLUjEgBBRRQQAEFFFBAAQUUUEABBTIqYAGOjC58FWlbgKMKLJsqoIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACqRWwYEL1S6dZeTNtut5PGnVtlJQW06bBKquUjybpBS2K91rIJOkxJ2XtjUMBBRRQQAEFFFBAAQUUUEABBTIlYAGOTC13TclagKMmNjspoIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACKROwGED1C6ZZabObb4bDD8891q0bLFpUvW+793D/pGOFP/UpeP310rF+4xvw61+nI4/i/XbBBXDmmemI3SgVUEABBRRQQAEFFFBAAQUUUECBJglYgKNJ0CmexgIcKV48Q1dAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUiC1gMIDLV/2/YuzfMn5/r98QTsM021Y/Tbj2K99Lbb8Pqq7dblvXns9568OqrheMsWVL/uI4Qn0DxXs4fOW1rNWwYTJ7sfotvdziSAgoooIACCiiggAIKKKCAAgq0oYAFONpwUWNOyQIcMYM6nAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKJA4gTffhLXWKgwrbReXtwL1rbdg6FDdiu0t5hJ9N2oV3aqZLTfaCF58sfSM++0Hd93VzGjim6t4vw0aBNOnxze+IymggAIKKKCAAgoooIACCiiggAIpF7AAR8oXsAnhW4CjCchOoYACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCrRUoHt3WLw4F8IbbyxbWKKlASZ4cgsoLLs4mkTfsMVWf/wj7LVX9P62jF+geE3yZ0h7YaIxY2DffQvN0p5T/DvAERVQQAEFFFBAAQUUUEABBRRQIMMCFuDI8OJHTN0CHBGhbKaAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgqkVsCCCbUvnXaFdqeeCpdfnvtb794wd27tvu3e8+qr4aSTCrO0IEJrVn3HHeGRR0rPvfXWMG5ca+KKe9ZSBUbcc3ErO54CCiiggAIKKKCAAgoooIACCqRUwAIcKV24JoZtAY4mYjuVAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoo0BIBi0jUzq5doZ0e1e8lzao3i7tHqaIUnXO0Y3GK4nzvuQf22SduVcdTQAEFFFBAAQUUUEABBRRQQAEFUidgAY7ULVnTA7YAR9PJnVABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQViF5g1C957D9ZeO/ahHVABBRRoCwELANS+jN27w+LFuf5vvglrrln7eGnv6V6qfgWLzXbcEf72t+rHsUf1AnvtBWPHlu43YgS88EL1Y6ahx8CB8P77hZG2Y6GRNKyFMSqgQDwCkyYtff/Vp0884zmKAgoooIACCiiggAIKZFbAAhyZXfrIiVuAIzKVDRVQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUCBRAhttBC++mKiQ6grGiyLr4rOzAgpUEAgFI9Zaq7CB55zoW+att2Do0Fz7UEwhvyBH9JHao6UFOKpfxylTYPXVq+9nj8YJZOEcWPxcXX99mDixcaaOrIACCsQtEN6/hvex+UcWzt9xOzqeAgoooIACCiiggAIKFAhYgMMN0ZWABTi6EvJxBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUSI7AdtvBE08kJ564I7n+ejjqqLhHdTwFFMi6QK9esGBBTuGxxyCcTz2iC1h0YqnVXnvB2LE5t5VWgvffj+6Y5ZbFeyjLFq3Mfe214bXXWhlB8+a+8EI466zC+bxwvXn+zqSAArUJDB/edbGg00+Hiy6qbXx7KaCAAgoooIACCiigQOYFLMCR+S3QJYAFOLoksoECCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgq0VGDffWHMmJaG0PTJvTiy6eROqEBbC1g8ov7l1XCpoQ6176VNNoHnn6+9vz3rF3j3XRgypP5x0jRCqcIvvs9M0woaqwLZENh8c3jmmepy7dYNFi2qro+tFVBAAQUUUEABBRRQQAHAAhxug64ELMDRlZCPK6CAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQPMFDj8cbr65unl79qyufRJaL1hQPor774dRo5IQpTEooEDaBSyaUP8KarjUUIf69tK118J55y3rWN+oze0dLnguVdShuVFUN9ull8IXvwj9+lXXr11aF69XKASz0Ubtkp15KKBAWgW23x4ef7z+6M8/H846q/5xHEEBBRRQQAEFFFBAAQUyI5C1AhyDgQOAEUD4duybHSsd/r4O8C9gTmZWP1qiFuCI5mQrBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUaLTAd74DV11V3SwTJ8L661fXJ2mtv/c9CBeGlju8S3nSVsx4FEifgEUT6l+zYsM334Q116x/3LSN4F5K24oZrwLQpw/Mm1co4ftLd4YCCrRCYNdd4aGHos+8775w991L28+cCQMGlO7bowdUKm4ZfUZbKqCAAgoooIACCiigQAYEslSA4ygg/Mtrn1BbGVgCdO9Y402AZ4BvAb/OwLpXk6IFOKrRsq0CCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgrEK/DLX8Kxx1Y3ZjsU3SiVcaW7yU+aBMOGVedkawUUUKBTwKIJ9e+FUHBjrbVy42TxQs/NNoNnn80ZbLABvPxy/baOoIACjRcofh3YeefqLoJvfITOoIAC7Sqw335wzz3Rsxs1Cu6/v3z7HXaARx8t/fgNN8CRR0afy5YKKKCAAgoooIACCiiQSYGsFODYHbgPCN/ongPsAYR/ke0swBEWPzz2OvClTO6E8klbgMMNoYACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAs0VsOhGee+DDoI77ij9eLhwcvHi5q6VsymgQPoFllsO5s7N5XHbbXDwwenPqxUZZL2QSdbzb8Wec04F4hI44gi46abC0ZaEe556KKCAAg0QOOww+O1vow+83Xbw2GPR28+cCQMGlG7fpw/MmRN9LFsqoIACCiiggAIKKKBA5gSyUoDjL8CGwEbAzI4iHD8qKsBxK7At4C0ACp8GFuDI3GnBhBVQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUaIHA2LGw117VTTxxIqy/fnV92qV18UXO+XlNmgTD/Clcuyy1eSjQcAGLJsRHnHXLrOcf305yJAVaI1D8HO7WDRYtak0szqqAAu0ncNxxMHp09Ly22AKefDJ6+1ItN90Unnuu9BhjxsDee9c3vr0VUEABBRRQQAEFFFCgLQWyUoDjQ+A24NiOVTwHKC7A8Z/AiUC/tlzp2pOyAEftdvZUQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBSgKvvAIbbFCd0b33whe+UF2fdm291Vbwz3+Wzq5nT5g/v10zNy8FFIhTwKIJ8Wlm3TLr+ce3kxxJgdYITJ8OQ4YUzj1tGgwe3Jp4nFUBBdIvcMYZcNFF0fMYMQJeeCF6+ygtZ86EAQNKt1x+eQiPeyiggAIKKKCAAgoooIACeQJZKcDxCfAL4NSO3EsV4AhlFL8KrOAOKRCwAIcbQgEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBeITqKXoRrhL7jHHxBdDu41UfMFzfn5LlrRbtuajgAJxC1g0IT7RYsvFi6HSOTq+mVs/0mqrwdSpuTh23hkeeqj1cRmBAgpUJ9CjByxaVNjH95PVGdpagawL/Od/wplnRldYay14/fXo7WttOWwYTJ5cuvcTT8A229Q6sv0UUEABBRRQQAEFFFCgzQSyUoAjlD+cBvyfjvUrVYDjKWAhsGWbrXG96ViAo15B+yuggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgookHWBWopu/PjHcE74qZdHJIHhw2HixNJN+/WDWbMiDWMjBRTIoIAFOOJb9HHjYNttc+P16QNz5sQ3fpJHch8leXWMTYHqBIqfz4cfDjfeWN0YtlZAgWwJXHdddUUzQ+Gud95pvtFbb8HQoaXnXXlleO+95sfkjAoooIACCiiggAIKKJA4gawU4LgQOB04BLgDKC7AcSRwPfAD4D8Tt0qtDcgCHK31d3YFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBdIrUHzxXleZnHQSXHllV618vJJAJXPvXu7eUUCBYoGVVoIPP8z9dfTo6i6eVHRZgawWoshq3j4HFGhHgc99Dh57rDAz30e240qbkwL1CdxyC3z969HHGDgQZsyI3r6RLVddFd59t/QMzz8PG23UyNkdWwEFFFBAAQUUUEABBRIukJUCHCsBE4BQpvD3wABgd+A7wA7A/sCrwBbA7ISvWbPDswBHs8WdTwEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBNAtUW3QjXLBz001pzjh5sYe7CU+dWjquJF30lDw5I1IgewIWTYh/zbNqmtW8499BjqhAMgSKn9O9e8PcucmIzSgUUKB1AvffD5//fPT5BwwoLPYWvWfjW77wAmy8cel5QoGOKVMaH4MzKKCAAgoooIACCiigQCIFslKAI+CvBdwM7FhiJR4Bvgq8nchVam1QFuBorb+zK6CAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiQfIFqi27sths88EDy80p7hJXWxbuYp311jV+BeAQsmhCPY/4oWTTt2xfmzMkpHHMMjB4dv60jKqBA8wRKXZju+8fm+TuTAkkSePRR2CHc+zji0a8fvP02hOIbaThWXhk++KB0pG++CWuumYYsjFEBBRRQQAEFFFBAAQViFMhSAY5Otk8D2wIDgY+AccD4GE3bbSgLcLTbipqPAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAJxCFRbdGPbbeHxx+OY2TGqEejfH2bPLt1jnXVg8uRqRrOtAgq0m0AWi0U0eg2zaJrFnBu9jxxfgSQIlHq/bxGOJKyMMSjQeIF//Qs22wyiPuf79IGpU9NTdKNY8MEHIRQKLXUMGwaTJjXe3BkUUEABBRRQQAEFFFAgMQJZLMCRGPyUBGIBjpQslGEqoIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKNBwgWqLbowYAeHu2R6tF6i0dlEvqmp9FkaggAJxC1g4IW5RuP56OPro3LjLLw8zZ8Y/T5JGdB8laTWMRYF4BYqf3xdcAGeeGe8cjqZAuwkcfDDcccfSrKr9DN1qi8WLo0fQqxdMm5beohulMq1UwPKjj2CFFaL72DKZAl/7GjzxBLzySvqen8kUNaqkCcydCwceCH37wu9+l7TojCdJAgsWwDHHwGc/C8cfn6TIjEUBBRRIhIAFOBKxDIkOwgIciV4eg1NAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQoAkCP/oRnHdetImGDoU33ojW1lbNFejdG+bPLz3nllvCP/7R3HicTQEFWiuw2mpL71TeeZx+Olx0UWtjapfZs1aQImv5tss+NQ8FoghssMHSi5TzD4u3RZGzTdYEwkX9t97a/ll37w6TJ8Naa7VvrrfdBl/5Sun8NtsMnn66fXNv98wOOQRuvz2X5TvvQPhM5KFA2gVC0Y3tt4cJEwoz2XprGDcu7dkZf6ME9twT7rtv6egDB8KMGY2ayXEVUECBVApkpQDHjyKuzhIg4r8SRxwx/c0swJH+NTQDBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQVqF4hyx95Bg2D69NrnsGfzBF59FdZbr/x8XlDZvLVwJgVaLWDRhMatQJZse/aEhQtzlldcASef3DhbR1ZAgeYLFJ/TVl4Z3nuv+XE4owJJEzjhBLjmmqRFFX88WSi6UUqtTx+YN+x5SoMAACAASURBVK+050cfwQorxG/tiI0VKH4969YNFi1q7JyOrkAjBbbbDp54ovIMocDCHns0MgrHTqtA8Tlx9Gg45pi0ZmPcCiigQOwCWSnAsbiCXCi6EY7/AML/7h67croHtABHutfP6BVQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUqE3gj3+EL32pfN9wsUm46MQjnQLhQpNyxTa+8AW499505mXUCigQXSBLRSKiq8TTMku2Wco1nt3hKAqkT2DMGNh338K4LdqWvnU04ngEzj4bzj8/nrGSPEp4fX/mGdh00yRH2fjYrr0Wvv3t0vN87nPwyCONj8EZ4hFYccXS32HtuCP87W/xzOEoCjRDYNdd4eGHy3+nVyoG37c1Y2XSNcc998B++y0bcyiwHQpteyiggAIKkJUCHDuVWesVgS2Bk4Dwr4WjAd81F2JZgMMThQIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACWRMovpg2P/8f/hDOPTdrIu2Z76uvwnrrlc/NH+i357qblQKdAhZOaNxeyJJtlnJt3I5xZAWSL1Dq84HvFZO/bkYYj8DPfgannBJ9rHCh/wcfRG9vy+QL9OgBixaVjtNzYfLXb+pUWG218nGOGwdbb538PIwwuwJf/CKMHRut6Ea/fjB/PixYkPMKf5s1K7t+Zr6swMorl36v0r8/fPyxYgoooIACkJkCHF0tdijJ+A/gEGBMV40z9rgFODK24KargAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgookGGBiRNh+PDyAF5Y0p6bo1LBlW9+E371q/bM26wUyLqAhRMatwMuvhi+//3c+KusAuHCv3Y73nkH1lijMCvfK7TbKpuPAjmB4teNcOfsffZRSIH2FPjlL+HYY6Pn5gWr0a3S2vL88+Hss0tHHy6O/+//Tmtm7R93pe88OrP3PWz774O0ZfjlL8Pvfx+t6EbfvnDnnbDnnkuznDcP+vQpzPiAA5a28VAgCFQ6L44aBfffr5MCCiiQeYEtttiCCRMmTAi1OJqJ8R/NnCziXLcB6wCWrCsEswBHxA1kMwUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFUi1Q6Ye3hx4Kt96a6vQMvguBBx6A8APrcocXo7iFFGgvgQ02gFdeyeV02GFwyy3tlWOrs8lCgZPiHMeMgb33brW88yugQKMEBg+GGTMKR/c9YqO0HbcVAuEz79e+Fn3m5ZaDTz6J3t6W7SHQvTssXlw6F8+JyVvjM86Aiy5a9rWr+H1sr15LixZ4KNBKgSOOgJtvjlZ0o3dvuP328sXQ7r4b9t+/MJunnoLNN29lhs6dBIHvfAeuuioXSdhzhx9euO/uuAMOPDAJ0RqDAgoo0DIBC3Dk6C8Gvg30a9lqJHNiC3Akc12MSgEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBeAQmToThw8uP5QUk8TinZZRKhVguuADOPDMtmRinAgpUEshCcYhW74AsGGchx1bvI+dXIGkCxc/7ddeFV19NWpTGo0B0gQcfhN12i94+XKQ/dSqstFL0PrZsP4GTT4Yrryyd19e/Djfd1H45pzWj4tetcNH5iSfCtGmwyiqFWR1wANx5Z1ozNe60Chx/PIweHa3oRngN+s1v4KtfjZbtVlvBP/9Z2NbveaPZtXOrULxl/vxchmFPhGKa++6b+1s4d86cCf37t7OEuSmggAIVBSzAkeP5G7AxMMg9UyBgAQ43hAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIAC7SpQqdjCzjvDQw+1a+bmVUnghhvgqKPKt/DH+u4fBdIvYOGExq9hFoyzkGPjd4ozKJAugQsvhLPOKozZ94bpWkOjhfHj4bOfjS7Ro8fSi/UtuhHdLCsty32nEv6+eHFWFJKb56qrwrvvln/NOuQQuP32wscnT4Z11kluTkbWHgKnnw6XXRbtPNGzJ/zsZxAKddRyhP4LF+Z6htey99+vZST7tIPAJ59Av365TNZfH0Jx7nDstReMHeteaYd1NgcFFIhFICsFONYqo9UDGAocDXwF+F3H/48Ft00GsQBHmyykaSiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoo8P8Fwg9rhw8vD+JFdG6WIFCpQMv111cu0qGgAgokW8DCCY1fn3Y3fvJJ2HLLQkffPzR+XzmDAkkQKPUe0ed/ElbGGCoJVFt0o3t3mD7dohvuqq4FShVx6Ox18slwxRVdj2GL+AVmzYLlly8c9+OPoX//wr/16QPz5vmeNv4VcMRigXPOgZ/+NFrRjVD4KRQ9O+20+h3D/g77PP847ji49tr6x3aE9Alsuy2MG5eL+/XXYa28S68HDICZM3OPH3gg3HFH+vI0YgUUUCAGgawU4AhlA5dU8PoP4BVgF+DtGFzbaQgLcLTTapqLAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggALhR9yLFpV2CEU5XnpJIwVyAqXucp7v48WW7hYF0inQ7sUhkrAq3/524UVNw4bBpElJiCyeGIr30Ntvw+qrxzO2oyigQPIFis8Bzz8PG22U/LiNMFsCkyfDeutB1M8sYV+/+iqss062nMw2HoFyBSy7dSv/HUw8MztKKYHgnv/cX3VVmDKltFXx2oUiHaFYh4cC9QpceimceSYsXNj1SKHw01lnwbnndt222ha/+AUcf3xhr/DZNHxG9ciWQP65Mey54r354YfLFh/7859h992z5WS2CiigAJCVAhw3linAEQpzfAD8AxgDFJWsc48AFuBwGyiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoo0C4C5S4ICflFvSipXSzMozqBSnvn/vth1KjqxrO1Agq0TmCbbeB//ic3/x57wH33tS6edp65nQudtHNu7bwnzU2BuAT69oU5cwpH8/NEXLqOU4/ABx/AoEGwOFwuFOEIr2fhIuR1143Q2CYKdCGw557l31eff/7Si+s9Gi9w9dVw0knRX6Oeew423bSwfShWcM01jY/VGdpP4Npr4eSTYcGCrnMLxRBOPRUuvrjrtvW2GDFi2aLLvnerVzVd/ceNg223zcW8994wJlxSXXTceCMceWTuj+G90vz5EIp6eyiggAIZEshKAY4MLWnsqVqAI3ZSB1RAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQoMkC/frBJ5+UnnSNNeCtt5ockNOlUuB734Nw985yhz/cT+WyGnQGBSyc0LxFb2frds6teTvEmRRIt0DxeSAUeHriiXTnZPTpFAhFN4YMWfYu7pWyefLJcEvjdOZr1MkWmDkTBgwoHWO4eDnKRfnJzjD50RW/Pp1yClx+eeW4d9kFHn64sM2sWRC+T/NQoCuBULDgmGOWFino6gj789hjIRTqaPbRvXthgarVV4e33252FM7XKoGw3lOm5GYP+7Vnz9LR7LgjPPJI7rFVVy3s26ocnFcBBRRoooAFOJqIndKpLMCR0oUzbAUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEF/leg+MKDfBYLJrhJahGotKfC3aOHDatlVPsooECzBCyc0CzpZV+D2+V19+ab4fDDc47hzs2LFjXP1ZkUUCAZAuHi0V/+sjCWdjnPJUPYKCoJhKIb4WLQKBc7d47zl7/ArrvqqkBzBLbbrnxRonDh/XHHNSeOrM0yfDhMnFjba1O4EH3hwtr6Zs3ZfOHOO+Gww2DevK41wmfwr38dQqGOVh6lCgT98Idw7rmtjMq5myWQ/11Q374we3blmUObOXNybY4+Gq67rlnROo8CCijQcgELcLR8CRIfgAU4Er9EBqiAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQAmBgQPh/fdL06ywAnz0kWwK1C5w0EFwxx3l+3vxZe229lSg0QIW4Gi0cG78drUuzivcNTncTddDAQWyJ1B8PrAgT/b2QLMz7tMn2sXOnXHdcw/ss0+zo3Q+BZYKlLrYvdOmd2+YO1epuAWKX5emTFlarCfqUdw/fLc2Y0bU3rZrd4E//QkOOKCwKEG5nMNeCm0rfXfWCq9QbOOccwpnnjYNBg9uRTTO2SyBSy6B00/PzXbZZfDd71aefepUWG21wjaPPw7bbtusqJ1HAQUUaKlAuxbgeKhG1SWA5SwL8SzAUeNmspsCCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAi0TKL5gID8QCyO0bFnacuJKe23SJBg2rC3TTmxS4W69PXokNjwDS4hAuxaFSAhvQRhf/vLSOyN3HptuCs8+m8RIq4vJPVSdl60VaGeB6dNhyJDCDL2IM3krPn8+9OqVvLiiRtS/f9d3ac8f65Zb4LDDoo5uOwUaLxDeAz73XOl5brsNDj648TFkYYbu3WHx4lymtRSfve8+2HPPQq3zz4ezzsqCoDmWEnj0Ufj856O9DoXPSaHt2LHJthw6FN56KxejBdSSvV5xRNe3b2HhmKj/PhAKdZx2Wi6CcJ4NxaP87jGOVXEMBRRIuEC7FuDIe7dc1QqEAhzdq+rR/o0twNH+a2yGCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAu0isM468NprpbMJF1zNm9cumZpHkgS22gr++c/SEfXsCeGCP4/GChT/IL6xszl6OwlsvTWMG9dOGSUvl3YsVtGOOSVv5xiRAukRCO/3QhGw/CPqRX3pyTK9kfbrB598kt74o0Z+xRVw8slRW9tOgeYLzJwJAwaUnjf8/cMPmx9TO834hz/APvvE81q0+ebwzDOFY82aBeF86pEdgVVWgVBUrKsjfDbaeWd48MGuWibr8eLPdKGAbiik69F+AgsWFBZiW2ONwgIsXWU8ciQ89VSuVfj3h8mTu+rl4woooEDqBdq1AEfqFyZBCViAI0GLYSgKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCpQVKP7hdH5DL4Bz4zRDwD3YDOVl56jk3pqInDVNAr4+NH61Sj1H994bxoxp/NyNmOHUU+Hyy3MjW+CrEcqOqUD6BIrPdQcdBLffnr482i3idn+f+NOfwg9+0G6rZj7tLlCucOqGG8KLL7Z79o3Lr/h8d/DBcNtttc/XrRsUf1bys1Ptnmnrecst8PWvV456223h8cfTllku3rfegqFDC+O/+mo44YT05mTkpQX22gvGjs099o9/wJZbVqfVu3dhgeXTToNLLqluDFsroIACKROwAEfKFqwF4VqAowXoTqmAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQGSBrbeG8MPZUke4YGDRoshD2VCBugWGD4eJE0sP078/fPxx3VM4QIfATTfBEUfIoUB9Al5EVp9flN6VLn4+6ii4/voooySnTXE+7qHkrI2RKNBKgc9/Hu6/vzACzw+tW5H33oNBg1o3fyNnDoWgLr20kTM4tgKNFyh14XuY9aWXIHym9qhOYLvt4Ikn4n8NKn7fG4oVvPFGdbHZOp0CpQqwhExGjoTHHoM+fdKZV3HUJ58MV15Z+Ne5cyEUW/BoH4Hu3WHx4qX5hPNa5/+uJsNJk2D99Qt7PPccbLxxNaPYVgEFFEiVgAU4UrVcLQnWAhwtYXdSBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUiCFS6qPfll2GDDSIMYhMFGiBQaW96MWb94O1+N/P6hRwhikC4UC1cPOTRWIFwp9lwx9lKx0knLXvhU2Ojqn10C3DUbmdPBdpdoPj80LNn4Z2y2z3/pOR3++1wyCFJiSaeOPbeG8aMiWcsR1EgSQL5F0V3xuXn5epXqPj156mnYPPNqx+nuEepopc33giHH17/2I6QXIE5c6Bv38L4wt/apehGsXwo2BUKd3Ue4by0cGFy18fIqhN49VVYb71cn+23h0cfrW6MztY/+AFccEGur+/1a3O0lwIKpEYgiwU41gTWAMqV4vp7alavOYFagKM5zs6igAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooEB0gS99Cf74x/LtvWAjuqUtGycwZAhMn156/MGDYdq0xs3driM/9BDsuqvP/XZdX/Nqb4HvfAeuuqpyjmefDeedl2wHC3Ake32MToFWCrzwwrJ3wQ7vBcOFnR7NERg1Ch54YNm5NtkE/vWv5sTgLAooUJ1A8XurHj1gwYLqxshy6169Cr3Cf8+bF5/IuuvCv/9dOJ7fucXnm8SRVl4ZPvggF9mVV0IomNjOR/F5aORIGD++nTPOTm6h+EYowtF5zJ69bIGZajRCse9XXsn18D1mNXq2VUCBlAlkqQDHKOAKYMMu1qh7ytaw0eFagKPRwo6vgAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooEA1AsU/is7v+/LLEH4I66FAkgQq7VkvXIm+UpUczzoLzj8/+li2VECB1gl885vw619Xnv/SS+HUU1sXY7mZDzgA7ror9+hKK8H77ycvTiNSQIHWCZR6v+L7veasx/LLw6xZy84V3iOG94oeCiiQTIEnn4QttyyMLbznuvPOZMabpKiefho+85nCiBrxmlP82hb+e/HiJEkYS5wCWSw4WKqI2q23wqGHxinrWK0QyN/PcRQoWrgQ+vSBRYty2Vx4IZxxRiuyc04FFFCgoQJZKcCxNfAIEErph08gJwJ/A14GdgBGAH8AngJ+Uqf4fwDrA1sAn+34/yOB5fPGXQd4LeI8fwV2iti2s9lxwOgq+5RrbgGOmCAdRgEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBugROOAGuuab8EI24yKCugO2sQJ5AuQsCQ5Nhw2DSJLnKCYS77Ya77pY7fO67dxRIp8BXvgK33VY59htugCOPTE5+WbwYLTn6RqJAegSKzxU/+AH89KfpiT+NkZYr1DZjBgwcmMaMjFmBbAlsuy2MG1eY88yZED5He5QXKD737bQT/DVchhfzMXs29O9fOOhGG8Hzz8c8kcO1XGD//eHuu3NhbLYZhEIvWThKfT6dOxd6985C9u2Z429/C4cdlsstFPkMxT7rPSZMgC3CpdN5x5tvwppr1juy/RVQQIFECWSlAMcYYGdgQ+AdIJSZ+zFwLhAKZoT/HcpEh0Id9bz7DQU3/gIM6GKVLcCRqKeBwSiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgookHCBchdUhbD/+7/hi19MeAKGp0CHQKW9bCGJZbdJ9+7l76wb7kQa7kjqoYAC6RbYYw/4858r53DXXbDffq3P0wIcrV8DI1AgDQIjRsBLLxVG6vu8xq1cuffXmjfO3JEVaIRAt25Q/Lz1eVxe+sAD4fe/b95rzWWXwWmnFc73pz/B5z/fiN3gmK0SyPrnneLiub16wbx5rVoN561XYMAACMWcOo84X1NOPBF+/vPc2H36wJw59UZsfwUUUCBRAlkpwDENCN9Md5ZsCgU4QvGNUHij8/gn8DpwYB0r9H+AhyP0r7UAx4NA0TdRJWcL5bAfjRBHlCbjR44cOXL8+PFR2tpGAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEF4hT40Y/gvPPKjxjnD2fjjNuxFKgkEH6UXe4H/NtsA088od+//w3rrutz352gQJYEdtwRHnmkcsatLsSR9QvSsrQfzVWBegWKzxfhAsAPP6x3VPvnC0ycCMOHlzbxc6J7RYF0ChSfO/v1g1mz0plLo6MuthozBvbeu7GzDh4MM2YUzuH5trHmzRz9wQdht91yM2a1+ETxc2uXXSDYeKRPIH8tV14Z3nsv3hzWWAPeeSc3pt/pxuvraAoo0HKBrBTgCKW2LgPO6hCfC1wNfC9vBX4GfBUYUseqdBbg+AiYADzZ8X99gJvyxq21AMeRwI11xFdLVwtw1KJmHwUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEF6hUodyfjMO6118Jxx9U7g/0VaJ3A5MkwbFj5+bN8EUulAiW77w5/Dvcj81BAgbYV+Mxn4OmnK6f3P/8DW23VXILNNoNnn83NucEG8PLLzY3B2RRQID0Cf/sb/J9weUXekeX3d3Gv3He/C1dcseyojbi4Mu7YHU8BBcoL/OlP8IUvFD5+8smln+9ZdlxhBfj445xAt26waFFzRIq/q2vm3M3JMLuz9OhRuI9eeQXWWy97Hg8/DKHoRv5x332wxx7Zs0hzxt/4BvzmN7kMxo6FPfeMN6OFC6F3b1i8ODfu6NFwzDHxzuNoCiigQIsEslKA403gj0Dnvzi/0VEYY/8892uArwPL17EWKwGDgVeAJXnjdBbm6PyTBTjqQLarAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAJtLfDHP8KXvlQ+RS9ca+vlz1xy3bsX/lA7HyA8D/7wh2yRVCq843M/W3vBbBXYZBN4/vnKDm+9BeGus804is9PnpOaoe4cCqRboNT7Gs8d9a/pOuvAa68tO85++8Fdd9U/viMooEBrBUKRs3Dhf/4xcyYsX8/lbq1NKdbZp06F1VYrHLKZry2zZ0P//oXz77gjhMJTHukW8PNObv1CsY3i4q/NfJ6leyclI/pevWDBgqWxhL2dXyQjzgj//nfYaafCEadPh0GD4pzFsRRQQIGWCGSlAMeDQChlN6pD+XdAKNm0BTARWBUIpaLfAUY2YCUswNEAVIdUQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUKDtBCpdfP/DH8K557ZdyiakAJMnw7Bh5SGy8CP/cAFPuJCn1LHxxvDcc24UBRTIqkC46/Krr1bOvhmFOLwgLas70LwVqE+g+Nxx441w+OH1jZnl3j16wKJwaUzR8dhjsN12WZYxdwXaS8ACRuXXs9imFZ+Xv/MduOqqwhjHjYOtt26vfZilbIYOhfCZqvP47nfhssuyJLBsrsstB3Pn5v7erx/MmpVtk7RkP2MGDB6ci7bR58lDD4X/+q/cfOE7zo8/TouWcSqggAJlBbJSgON7wE+BUOLufWB7IJSWmwe8AKwPhFKARwI3N2C/WICjAagOqYACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKBA2whMnAjDh5dPJwsFCNpmMU2kZoFKBWiOOQZGj6556ER3rJS3z/1EL53BKdBUgdVXhylTKk/ZyEIcFuBo6nI7mQJtI7DqqvDuu4Xp+P6mtuUt955Rz9o87aVA0gWKn/MrrwzvvZf0qBsb30knwdVXJ+M1ZYUVlr3A3PNxY9e/kaP7WWdZ3XnzoE+fwr8fcADceWcjV8Kx4xAYORKeeio30rRphQU54pijeIxBgwpfo0aNgvvvb8RMjqmAAgo0TSArBThWAEZ0FNvoLJ+0H3AeEMrmvwZcAVzXIHkLcDQI1mEVUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFEi9QKWL78Md5G69NfUpmoACkQVefRXWW69883a6oKXUBamdma+5Jrz5ZmQ2GyqgQIYEwp1swx1tKx1xF+JYbTWYOjU343bbwWOPZQjdVBVQoC6B4s87a60Fr79e15CZ6hwuuA8XNZY62um9caYW1WQViCBw/fVw9NGFDS+5BE47LULnNm1S/Hryy1/Ct77VumSL4+nVC0LRAo90CZx8Mlx5ZS5m36fkLO6+G/bfv3A9Q2GHzTdP1xpnLdpu3aDzPWL37rBwYeMF5s6Fvn1z84YZ77gDDjyw8XM7gwIKKNAggawU4GgQX+Rh4yrA8WPgLWAdoC/wARC+eXoUmBw5muoajh85cuTI8ePHV9fL1goooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKFBZYOJEGD68fBsvpnIHZVmgUmGaiy6C009Pt06l/Hzup3ttjV6BZgmsuCJ89FHl2eIqxOEdoZu1qs6jQHsK/PzncOKJhbn5fifaWt9+OxxyyLJtvcg7mp+tFEi7QHERtJBPVs+fQ4bA9Om5FQ3vTxcvbu0KT5sGq6xSGMMBB8Cdd7Y2LmevTsDPOpW9ttoK/vlP38dVt6ta1/qhh2DXXXPzf/Wr8NvfNieeu+6CcA7sPMJza+ZM6N+/OfM7iwIKKBCzQFYKcHQDWvmuOq4CHJWW/3+A84B7Y94jFuCIGdThFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUKALgfDj6aefhpEjpVKga4FwY5kttui6XdJaVLr4fuedIfxY1kOBrAs88ACMGlVeIY0XHm2wAbzySumcwsX0H4T7cnkooIACVQiEi1lmz67cod7zpRelVbEgNlVAgZICpT7/1HtuanfqXXaBhx9eNstNN4Vnn2337M1PAQU6BTx/wqxZsPzyhXvi44+TcVF3KJIUiiXlH5Mnwzrh3tseiReYNAnWXz8XZvfusHBh4sNueoA9exa6rLQSvP9+08NwwggCxcWKmv1+1sNVfwAAIABJREFUe6+9YOzYXKDulQiLlqImb7wBffvCoEEpCtpQFahdICsFON4BbgFuBp6vnavmns0owNEZ3DXASTEWHLEAR83LbkcFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUqFrAH5VXTZbZDlHu+p5GnGb/KDaNRsacPYFKBWtuuAGOPDIdJpXy8LmfjjU0SgWSLNCnD8ybVznCWs81FuBI8sobmwLpESg+l/Tq1fV5Kz3ZxRtpueJKl18Op5wS71yOpoACyRYIhSZWWKEwxjXXhDffTHbccUZX/Pqxxhrw1ltxzlDfWKXeh9f6vru+SOxdrUDv3jB/fq7XI4/A5z5X7Sjt3z58zgz7PP847ji49tr2zz1tGeafL8P7yfAa0uxjwACYOTM364EHwh13NDsK54tLILzeXnAB3HUXvPsuHHEE/OY3cY3uOAokWiArBThCSfgBwBJgAnAjcBvwXpNWp54CHJ23srgHGAdMAsIrUH9gA2Bv4HhgpbxcrgC+W2Vu48u033DkyJF9x4c7hXgooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAKNEnj+edhkk65H98fLXRtloUWli9jTmv+nPw3PPJPW6I1bgcYLXHwxfP/75edJ8utDuHjjscdKxx7uGjh7duP9nEEBBbIjEC5oX7Cgcr7VnDOLLwI/7DC4JdwX0UMBBRSoUqBcUYnlloNPPqlysDZuXu7z7owZMHBgGyduagooUFbgRz+C884rfPjWW+HQQ9sf7dJL4XvfK8yzmveyzRIqPne36sL3ZuXbLvNYaDD6Sv7iF3B8uIQ175g0CYYNiz6GLRsrcPbZcP75uTmuuw6OPrqxc5Ya/cMPYaX8S52BP/8Zdt+9+bE4Y20C06Yt3UuhcMqUKYVjhM8j4XOJhwIZEMhKAY5ewL7A4cAooBsQvlm+F7ip4/8vauB611OAI3xD0lWhkDWAPwAj83LYDniiipwswFEFlk0VUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQIEaBWospJPHH1jGyOFQJgaFDk3WHy7gWyb0cl6TjZEGg0mvGAw/AbrslS6FSvJMnwzrrJCteo1FAgfYR6NEDFnXx8+go70G8KK199oSZKJAEgUrvjZZfvvBu2UmIt9kxlPOJcr5udqzOp4ACzRVYcUX46KPCObNwbig+L55xBlx4YXPto8z23HOw6aaFLUOxgmuuidLbNq0Q2HzzwmLIX/4y/O53rYgkPXOOGAEvvZS981BaVigUtZs7NxdtK18jbrwRjjwyF0s4l8+fD+F7Co9kCoSiGhddBLfdVvnf4Pr1W1qAo0+fZOZhVArEKJCVAhz5ZKsAh3UU4wi3TVnSUeDit8DNwFMx+nYOVU8BjqjhrAq8CKzY0SEU5NgnaucK7caPHDly5Pjx5epzxDCDQyiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKBANgWefx42CT/fiOFo5Y8JYwjfISII1FqoJcLQLWtyySVwwgn+WLFlC+DEqRUIF9yEHwSXO5LwmrDffnDPPaUjDD82XxDuIeahgAIKNEGgWzfo6rxY6XELcDRhkZxCgQwJzJkDfftWTjjcMfv99zOEAkycCMOHl865q3N4tqTMVoFsC5T6bqydzxHrrQevvlq45knOd5dd4OGHC+OdNQvCxcoeyRPwc05ta9K9OyxenOu7+urw9tu1jWWv+ATC94y9euXG+9Sn4N//jm/8WkbaYQd49NFcz1VXhSlTahnJPo0S+PDDpd+x/9//C6+/Xn6WUGxjxx3h9NNh110bFY3jKpA4gSwW4MhfhM90FOI4BBgChFf/RpRRakYBjpDXT4EfdCQ4G1gZmF/nrrMAR52AdldAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBEgKViimEH1e/8srSTr17L70zVtQjjJv/A9Co/WyXXIEttoAJE8rHl+Qf3idX1cgUaA+BSq8l4SKddddtTZ6V4po8GdZZpzVxOasCCmRbIEoxs1Lvq7wwLdv7xuwVaKRAV+elwYNh2rRGRpCMsY8/Hn7xi2VjGTQIpk9PRoxGoYACyRD4+GNYYYXCWEaMgBdeSEZ8cUYRClcsv3zhiOHC7XABd5KPnj1h4cLCCP3uMnkrduWVcPLJubiyWPyr1lWZORMGDCjs/cMfwrnn1jqi/eIQKC4A9NJL5Yu7xTFf1DFC4b1QgK/zOPpouO66qL1t1wiB8Pp68cXw299C+J663BH+bXb77eG002DPPRsRiWMqkHiBrBfgCAu0PvBNILxrCsU3ujdg1ZpVgGMn4K958W8AdPwapeasLMBRM50dFVBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUKCkQKWLbCr9ILn47mpd8YY7fs2b11UrH0+yQKW98uKLsOGGSY7e2BRQoBkCX/kK3HZb6ZmaXZTp29+Ga68tn7UX3TRjRziHAgp0JdDVBe+hf+f5qvgCwiuuKLxQrau5fFwBBRSIItDVeWnNNeHNN6OMlL42a61VOrdDDll6J2oPBRRQoFjgW9+CX/2q8K9//SvsFC4pa6Oj+HvgFVeEDz5IR4LFr2sDB8KMGemIPStRFq/RJ5/AcstlJfv68wzFNs45p3CcUDQtFE/zaI1At265z/Hhfy9a1Jo4imedOhVWW63wr48/Dttum4z4shJFOMddfjncdBOEotXlvqMO/6a6zTbw3e/CPvtkRcc8FSgrkNUCHKHM1iHA4cDWHTofA3cARzdgvzSrAEcouPFyXvzbAU/UmY8FOOoEtLsCCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKdAiEH28tWFCaY+WV4b33olN1dYFO8UjhTluzZ0cf35atFdhjD/jzn8vH4EXsrV0fZ1cgiQKVXhfCD4vXXbexUVeaP9xNcJ11Gju/oyuggALVClT7fjqM73uwapVtr4ACUQXChcldXbQZ3s+F93XtcpQrMupFie2ywuahQOME+vRZtuhwO71Pu+MOOOigQr805XfffbDnnoXxn38+nHVW4/aEI0cXeP99CEVROo9mF2+NHmmyWw4dCm+9lYsxSUUfki0Xf3TPPQebbpobd/fdK//bSvwRVB7xssvgtNNybcJ74LlzoUePZkeSrfmC8VVXwQ03wMSJ5b/PCeuw1VZwyimw//4QnsseCijwvwJZKsARnvmf7yi68SWgd/gaGHgIuBG4C5jboH3RrAIcnwEm5OWwGfBsnTlZgKNOQLsroIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigAFDpAr96f0Bd7cWDabpjYhY3T6X1fPFF2HDDLKqYswIKRBEId08cN650y1AEat68KKNU16b4R+TFvet9jasuGlsroIAC1QtU817ac1r1vvZQQIHqBKIU4hgxAl54obpxk9a63LnX82zSVsp4FEiuQPF5pJ0ufi/O7dBD4dZbk7sWpSLbfHN45pnCR2bNgn790pVHO0a7/PIQ1qLzuPlm+NrX2jHTxudU/FwdNgwmTWr8vM5QKLD22vDGG7m/zZ8PPXsmS2nkSHjqqVxMoVBxKFjsEa9AWPuf/xx+/WsI/5ZW7rNFKLqxxRZw4onwla9YdCPeVXC0NhLISgGOS4FDgSHh5xzAROAm4BYgr9RWw1a2WQU4jgKuz8tiMDCjzqwswFEnoN0VUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRTItEDxD1rzMZZbDj75JF6eai4gDDOvuipMmRJvDI5Wm8C3vgW/+lX5vl6IVJurvRTIokAjiz7le1aa58EHYZddsqhvzgookFaBKO+jfT+W1tU1bgXSJxClEMdnPgMT8u9fmoI033sPBg0qHajn2BQsoCEqkCCBd96BNdYoDGinneCvf01QkDWEsvXW8I9/FHZM6/kxFEUpjj2tudSwlIntUvy5xzWpfaneeguGDi3sf/XVcMIJtY9pz+oF8vd0nz4wZ071YzSjR+/eEApEdB6nnQaXXNKMmdt7joULYfRouO46eP55WLy4dL7du0MoDvXtb8Phh1t0o713hdnFJJCVAhzhrPERcHtH4Y0nYvKLOkyzCnA8DmzbEdS/gE9HDbBCOwtwxIDoEAoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCmRSoFkXQJfDjXIRYX7fDTaAl1/O5FK1POlKa3X33bDvvi0P0QAUUCBlAuHO6C+9VDro/v3h449rT+imm+CII8r39+KN2m3tqYACrRco977s+uvhqHCvQA8FFFCgiQJRCnF87nPwyCNNDKrGqcJ59Oijl+0cLkacO7fGQe2mgAKZFvjiF+HeewsJwufg4cPTy1L8XvSVV2C99donn1Cs4I030ptP2iPfbTcIBVM7j+23h0cfTXtWrY3/5JPhyisLYwjva8L7G4/GC/ziF3D88bl5fvIT+NGPGj9vLTNMmgTrr1/Y87nnYOONaxkt231CkY3w2SKs/7PPli+6EQpBffrTcNxx8I1vQI8e2XYzewWqFMhKAY5DgLuBeVX6xNW81gIc/YFZEYM4A7gwr+33gEsj9q3UzAIcMSA6hAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAApkSWGUVmDatdMrhLkvhjkzNPqotxrHNNvBEs+/x0myUBMx31llwYf5PXopi8iL2BCySISiQcoG4i0FVGu/GG5feQdBDAQUUaAcB7wzdDqtoDgq0j0C4oDwUWKt0jBoF99+fzJzDBb6Ph/utFh3hLtRPPZXMmI1KAQXSIRAupl20qDDWtH6f1qsXLFiQy2W55eCTT9KxDuWiLFXA0+8OWremfsZpjP2gQfDee7mxW/VvQI3JLtmjhiLDs2fnYkz6+f8HP4ALLsjF27MnzJ+fbOOkRBeKbtxyC1x9NTz99LKv/Z1xhqIboajJt74Fxx5r0Y2krJ9xpFIgKwU4Wr04tRbgGAc8A9wChG9bFpdIZA3gJ0B+SelXgE8DcZRBtQBHq3eP8yuggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKJAmgbgvdG5E7tUW49hll8I74zUipiyOWWkdrroKTjwxiyrmrIACjRBYYw14553SIw8eXL5oVH6Phx6CXXctH13Sf+DeCFfHVECBbAg88sjSu46vtlo28jVLBRRItkCUQhwHHAB33pmcPPr2hTlzlo3n8svhlFOSE6eRKKBAegWKv2MLRTnyC1mkIbPHHoPPfa4w0nb5nL3uuvDvf7dnbmnYW50x3n037L9/LuJ2KPCSJP/i89DIkTB+fJIibL9Ywnk+FC7qPIYMgXffTX6e668Pkybl4txkE/jXv5IfdysiDEU3br8drrxy6fOp3M0NwvMvFCs86ig44YTCfdGKuJ1TgTYRyGIBjn7AikD3Mmv4Rp1rez3w2aIx+gPD8v72IlBcmmk0EP4v/3ga2KzjDx91FON4E/gYCHkMB0YCPfI6TQF2AF6tM4/O7hbgiAnSYRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFGhrgU03heeeK59iUn8wXW0xjiOPhBtuaOulbHhy99wD++2Xvr3ScBgnUECBhgvUWiSqUr+zzoLzz2946E6ggAIKKKCAAgookCfw6KOwQ7hsosJx6KFw662tZSv3PnLGDBg4sLWxObsCCrSPwJNPwpZbFuaTtGJEXWkXny932w0eeKCrXul5vDi/8N/hwmqP5gl0715o/vb/Y+8+wCQry7QBPxOYYWYYhjRKFgSUjI7iigH2xwDK6o+BBQRRUFbFhATFNWNYFTAuoq6YEIFdXFx/FsUIyrqAjoEgCCiCCCgzkibH/zo7PVtdRVd3VXd19ak697kuL6XrO9/3vvd3rG6qTj31p2Trrbu3fr+v9JvfJHvsUd9l8XdY8feYY3wEjjhiXTjD+uPKK5P99x+ftTo5axEiseGGyerVtVn/6Z+S007r5Cq9O1fxu+Hf/z35xCeSa69tHqhV/B553OOS445L3vSmdaYOAgQ6KlClAI6XJ3lbkt2GEVzbEGYxGuwrkhwwihPfl+S9DecNDuAYacqi9kuSvC7JX0Ya3MbjAjjawDKUAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUUmC4DyYXoRyNN16WEWmoG0RHqvPUU5OPfnSkUR4fLDDctfL2tycf+hAvAgQIjK/AnDnJQw8NvcZOO9V/A2PxDbXFN9U2O8oaLjW+gmYnQIAAAQIECJRHoJUgjuJboD/96e7X3Ozff/0N2f29sCKBKgjst19y9dX1nRb/7jt7dvm7P/TQ5D/+o77OfnuuXLw42aj4fu9Bx+67JzfeWP796YcKly5NZs7s72usDPt05JHJhRfWV7JsWTJ9ehmq678apk6thVj0WqjPL36RPOlJ9Xvyxz8m227bf/vUakff+lZy1lnrfpevWNH8rJ13Tl7xiuSkkx75vNbqWsYRINCSQFUCOF6ZpPjqkSIW6b+S/DHJqiZCx7Yk13xQJwM4tkqyX5KnJnlyki2TFDGnmyYpnkXvT3Jzkp8mOT/JLWOsfajTBXCMA6opCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAXwj8n/+TXFHcKtHk6NUbpUcTxvGxjyVveUtfbOu4NPHNbyYvelH/XSvjgmVSAgS6IjBcIFDx+6vxm1EHF1WGb1PvCpJFCBAgQIAAAQI9InDppckLXjB8sd0K0bzlluTxj39kLb32wcge2XplEiAwSGDy5KTx9dheeH228d/Pv/e95NnP7r+tLT5Yfcop9X19+9vJwQf3X69l6+hRj0ruu69W1emnJ+96V9mq7I96itCfRYtqvUyblixf3h+9lamLe+5Jtt66VlERZvHzn5epwpFreeMbk3/+59q4DTdMirCcKh2XX74u5P+//mv4/5/suGNy9NHrfodsvHGVhPRKYEIFqhLAcUOSIsziGUlumlDx3ltcAEfv7ZmKCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA+AsM98HlG25I9thj/GvoxgqjCeP4t39LXvrSblTXG2sMd60cdljyr//aG32okgCB/hMobuxu90MAvfDhpf7bKR0RIECAAAECBFoTOP/8dR9OG+5473uT97yntfnaHXXCCck55zzyrOKDv3/+c7uzGU+AAIH2BRpfh5s1q/7D8O3POL5nFPUtWVJbY+rUZOXK8V1zImefOzdZsKC+Aq8zjP+ONP7/gvn4mjd6/+3fJj/60fiuWbXZd989uWnQx6QfeCCZM6f3FLbZJrn77lrdT31q8t//3Xt9tFPx176WfOQjyW23JcuWNT9z++2Tl70sedvbkk02aWcFYwkQ6JBAVQI4imeiryR5TYfcqjSNAI4q7bZeCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDASAKvfGXyleI2jCZHP9+8+o1vtB+sUZzz4hePpNqfj998c7LbbtW8VvpzR3VFoD8Ffv/7ZKedRu7tOc9JvvvdkccZQYAAAQIECBAgMPECn/1s8rrXDV9H8W3Tp57auVobP0C4fubidZQvfalz65iJAAECwwl8+9vJ859fP+LEE5OPf7x8bsWHj3fZpb6ufn5teX2njeEEkycnq1eXb3/6paJXvCL56ldr3Tz+8UnxurVj/ASKsI0DD6yf/zvfSQ46aPzWrNrMg59HNtggWbGiNwVWrUqmT0/WrKnVX/wd/5o++xh4Edr/7ncnt9xS32vjrm27bfL3f5+8/e3JFlv05p6qmkAfCVQlgKOIQfq3JG/uo73rVisCOLolbR0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFB2gcabgwfXe9FF624Mq8px8cXJYYe11+1vfjN8IEV7s5V79HDXyjOekfzkJ+WuX3UECFRPYMqU5jdAV+EDQNXbcR0TIECAAAECVRA444zkrW8dvtPiW6iPOmpsGs3+lvzpT5P99hvb3M4mQIBAuwKPe1xy6631Zz30UDJ7drszje/4xtcP9947+fWvx3fNMsy+eHGy0Ub1ley/f3LllWWorv9qaLzOvMbTnT0uwjYag2zZd8b+m99MXvSi2lzHH598/vOdmXsiZhkqsOW++3o/gOJb30r+8R+Tm24aPnRjq63WvddYhG5sueVE7IA1CRBoIlCVAI7iN8jfJHlCkrWuhrYEBHC0xWUwAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDoQ4FTTknOOqt5Y1W/cbL4BsmTTmpv4/s1jKP49sDddnOttHc1GE2AQFkEfv/7ZKedatXssUdyww1lqU4dBAgQIECAAAECoxUoQjiKMI7hjv/3/5K/+7v2V2gWQFn110ral3QGAQKdFBjqualMz0uvec0jPzBepvo6uRdDzfXmNyef+lT9I1dfnfxN8fFHR8cEfvaz5ClPqU23wQbJihUdm95EIwjMmJEsW1YbNGtWsmgRtrEKbLZZcv/9tVn64bmzCMP7+tdrPRUhRQ8/PFap7p9/+eXrwv+K15PXrGm+/rRpyXOfm5xzTrLttt2v04oECLQkUJUAjs2T/FeSIgru5CR+U7d0efzPIAEcrVsZSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k+g2QdJik7PPDM5ubgVw/G/Aq18qKeRq1/COCZPTprd7Ln77smNN7pQCBAg0BsCd96ZbLhh8qhH9Ua9qiRAgAABAgQIEGhN4I1vTP75n4cf22oQx8KFzb+Zux8+CNmaqFEECJRZoPF13eJD28VzVxmOxtq+8pXkmGPKUFn3ath440d+wNzvj876F4Ebq1bV5rzuumSvvTq7htmaCyxfvu71tcHHS16SXHwxtbEIDH7+nDMneeCBscxWnnO32KL+d1QRUFEEWpT9uOKKde+T/vrXyerVzastQjee+tTk059O9t677F2pjwCBJFUJ4Phhkk2S7JNkSZJbkwz1m2Vtkme5MuoEBHC4IAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQBUF/vVfk8MPb965m4FHvipe/erk3HNHHjd4RK+6DhfU0qs9tbdzRhMgQIAAAQIECBAgQIBArwi08u/rP/lJ8oxnDN3RF76QHH/8Ix+bPr3+m957xUOdBAj0p8BQz1VnnJGccsrE9jt3brJgQa2G4nXFNWsmtqaJWr3xNdXiA9pFaIGjMwKNvl6n7oxrO7Ncckny4hfXn/HLXyZPeEI7sxi7XuDNb04+9amax4UXDv8+Xi/JLVuWzJxZH/JevE952GHl6+Lqq5NiL37xi/qQn8ZKixCgffddt2dPelL5+lARAQLDClQlgKPVv8KLAI4prpk6AQEcLggCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA1geHCFIpvcjrzzKqJjL3fl740+cY32punF24InjGj+YeLHv3o5N572+vZaAIECBAgQIAAAQIECBAg0C2BVv5d/aabkl13rVX0N3+TXHvtIyt8ylOSa67pVuXWIUCAQGsC22yT3H13/diJfM1x0aJk9uz6eh5+ONloo9b66bdRf/lLUryGOvh4yUuSiy/ut067389OOyW//31t3X/4h+Rzn+t+HVZMhvrbaSKfh3p5T4qwtxUrah30m+O//3tSPAeuP4r3Kh96qBy/I+bPT970puRnP0tWrmx+FU2dmsybl3zsY8nTn97LV5vaCVReoCoBHJXf6DEACOAYA55TCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBATwkU3yZ1+OHNS+63m/kmanOKm+5++tP2Vi+j/XBBLWWstz1xowkQIECAAAECBAgQIECgKgIHHZR897vDd1sEcTzxiUOHUP7LvySvfnVVtPRJgECvCQz1Gt5EvXbXWMtjHpP84Q+9JtrZeo84Irnoovo5i+CIHXfs7DpVm63xWpuoa75q7s363WCDZNWq2qObbpr89a902hFYsiSZNat2xi67JLfc0s4MvTH2kEOSyy4rx7Vyww3J61+fXH11ffBJo+SUKck++yRnnJEceGBvOKuSAIERBQRwjEhU+QECOCp/CQAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUoIDBem8H//b/LNb1aCoetNFh/e+dWv2lt2om8W3mST5MEHh665+LbK4lsrHQQIECBAgAABAgQIECBAoNcEnvnM5Kqr2qt6wYJk883bO8doAgQIdFOgeK1u443rV9x22+SPf+xmFckHP5i88531a07065zdFWi+2oYbJsuXs+nUfrz73cn731+b7dGPTu69t1Ozm2c0AsX1XVzng4/jj08+//nRzFbNc/bbb10QxPrjjjuS7bfvT4s5c5KHHqr19tKXJv/2b93ptQjde+Mbk5/8ZPjQjcmTkz33TD760aQI83MQINB3AgI4+m5LO96QAI6Ok5qQAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUSODGG9fdJNbscBN09zbrsY9Nbr+9vfW6vT/DBbV0u5b2pIwmQIAAAQIECBAgQIAAAQKtCcybl/zylyOP9e/BIxsZQYBAOQQaAwmKqr72teSoo7pXX+Priu96V3L66d1bv+wrNfoIOh79jjVaLlmSzJgx+vmc2RmBc85JTjihfq7bbkt22qkz8/f7LEXgw/q/PadMSVat6t+OH3gg2XTT+v6++93kOc8Zn56L9+WKa/NHP3pkGNLgFYs92G3ynCgHAAAgAElEQVS35EMfSl74wvGpxawECJRGoGoBHFsk2S3Jtkk2aLILXy3N7pSjEAEc5dgHVRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgc4LDBem8JSnJNdc0/k1zdiawKMeldx3X2tj148azw/+bLddctddQ9czbdrwNyW214XRBAgQIECAAAECBAgQIECgHAK7754U34LdeBQfvlu9uhw1qoIAAQKtCmyySfLgg/Wjx/P1xMEr7bhj8oc/TMzarfpM9Lgbbkj22qu+iuID4WefPdGV9db6f/pTsm3x0dGBw+/scu1fEV5w882eC9rdlauvTvbbr3bWoYcml1zS7iy9Nf7LX06OPbZWc/F+5ooVydSpnenjzjuT178++cEPkqVLm89ZPIc87nHrAqMOO6wza5uFAIGeEKhKAMf0JB9LclySaU12ZlKStUmm9MTOda9IARzds7YSAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDojsCNNyZ77tl8rW7deN2dbnt/leLbDhcvbq+PTu7hcEEtnVynvQ6NJkCAAAECBAgQIECAAAEC3REovpn9979ft9bmmycLFnRnXasQIECg0wJDvc433q/vLVqUzJ5d38nDDyfFa56OeoFnPSv54Q/rf1b4zZpFqlWBmTPrP0z/n/+ZPP/5rZ5tXDcEpkxJ1qyprbT11kkRnOJoLrDVVsm999YeL4IoNtig/8We+czkqqtqfW65ZXLPPaPvuzAsQje+851kyZLm8xS/K4u//9/1ruSYY0a/njMJEOhpgaoEcHw6yeuTFNGjFyUpfiOvarJzX+npHe188QI4Om9qRgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMHECw4Up7LxzcuutE1eblUcW2HDDZPnykcetHzGWb/jbY4/kN79pvtZ435zfepdGEiBAgAABAgQIECBAgACB8Rd48MFkzpzxX8cKBAgQGC+BIvhi443rZ99tt+FfAxxrLcXrk4NfR9xss2ThwrHO2r/nFx+qX9XwsUevw7a+343vf7Br3a5bIx966JF/T/3jPyYf/GC3Kui9dQZf10XITLuB7b3Xca3ixlCd449PPv/51ju6777kjW9MLr10eLfCeIcdkre/PSnWcBAgUHmBqgRw/DlJEW20b5KVld/19gAEcLTnZTQBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECivwHDhG25ELe++Nats6tRk9erW6y5u3i6+Ga2VY7hr5aabkl13bWUWYwgQIECAAAECBAgQIECAAAECBAgQKJPAP/xD8i//Ul/RFVckBxzQ+Sq/+tXkFa+on9fr0CM7N742u/nmyYIFI59X9RFPfWpyzTU1hec9L7nssqqrlLP/009P3vOe+tr+8pdk7txy1juRVZ1xRvLWt9YqOOus5KSTJrKi7q59773JVlvVr/nTnyb77de8jiI0701vSi65JCmCp4Y7tt8+OeWUdSEdDgIECAwSqEoAx6Ik5yQ51e63LSCAo20yJxAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgZIJTJuWrGzynSW+cbBkmzXKcoYLzBhqymbfknbQQcl3v9u8CDfIj3KDnEaAAAECBAgQIECAAAECBAgQIECgJAIbbpgsX15fzHi87tf4muVxxyXnnlsShBKXcfnlycEH1xf4gQ8k73hHiYsuQWmN19t4XNMlaLNvSthuu+Suu2rtTJ7cXuB430CM0EjxXs7SpbVBVbyui9CRIiRj/TFlSrJsWVKE1K8/Fi1K3vzm5BvfSIoAjuGObbZJ3vKW5MQTk2IuBwECBIYQqEoARxFddmuSo10FbQsI4GibzAkECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBEAsMFM1TxRr0Sbc24ldJuGMemmyZ//Wsy3Hk33ZTsuuu4lWxiAgQIECBAgAABAgQIECBAgAABAgS6KND4WmCnP/z+xCcmv/pVfUNej259g5/whOTXv64fX3zAfNas1ueo0sgi2OXVr651PHt28tBDVRLozV4bn4d22im57bbe7GU8qi6C9YuA/fVHERwxOLRkPNYs65yNv1N23DG58cbk5JOTCy5IHnhg+Mq32io54YTk7W8XulHWPVYXgZIJVCWA47AkX07yxCS3lGwPyl6OAI6y75D6CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAUAIbbZQsXjy0zYwZyZIl3Kog0G4Yx1AmboyvwpWiRwIECBAgQIAAAQIECBAgQIAAgSoJ3H13UnyYe/DxjGckP/lJZxQaX5e89dZk5507M3dVZilCURpfm/Va7dC732hVBE4XwdOOcgsUYRLbbVdf46c/nbzhDeWuu1vVHXJIctlltdWuvTbZd99urV6+daZPT1asaL2uRz86Of745L3vFbrRupqRBAgMCFQlgKNo901J3pHkM0l+keTBJlfBj10ddQICOFwQBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECg1wSGC11wg26v7Wbn6m03jOOSS5JDD+3c+mYiQIAAAQIECBAgQIAAAQIECBAgQKA8An/3d8l//md9PTffnDz+8WOrcYMNklWranPMnNk8LHpsK/X/2Y2v6RZhBXfe2f99t9Ph0qVJcY2tPwqzNWvamcHYiRQ48cTkk5+sr2DZsqQIW6j6MWVK7Vp2XSe33ZbsssvwV8UWWyTHHZe8//3JtGlVv4L0T4DAGASqFMDxniSnJpkxgteUMXj246kCOPpxV/VEgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAv0pMHdusmDB0L0VN+oNvum5PwV01arASGEcglpalTSOAAECBAgQIECAAAECBAgQIECAQO8KTJ2arF5dX/9YXhv8/veT5zync/P1rmxnKv/KV5JXvrJ+rgsuSI44ojPz98Msm26aPPBArZPPfCZ53ev6obPq9FCEJixcWOu3CE5Yvrw6/Q/V6e9+l+y8c+2Rpz89ueqqapsU3b/jHcmHPlTvsNlmyctfnnz0o0I3XCEECHRMoCoBHG9P8sEkxW/hbyW5O8mgGL06z/d1TLc/JhLA0R/7qAsCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6HeB4QIVxnLDdL+76S8ZfO2ccUZyyilUCBAgQIAAAQIECBAgQIAAAQIECBCoikDja8tFKMfKlaPrvnGuQw5JLr10dHM5a53AYx+b3H57vYbX/Gsejdccm978f07jPh5wQHLFFb3ZSyeqLsI3ihCO9cfixcnMmZ2YuffnOPzw5JvfTF7ykuTcc5MZM3q/Jx0QIFA6gaoEcBR/YRZRfE9K8mDpdqHcBQngKPf+qI4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEqi6wxx7Jb37TXMHNplW/QvRPgAABAgQIECBAgAABAgQIECBAgACB5gI//3my7771jxcfbL744vbUDj44ufzy+nO8Pt2eYbPRkycngy2Lf15dfFyy4seLX5xcckkN4UlPSorr2dF7AjffnOy2W33dxd4eemjv9dKJigcHkkyblixf3olZ+2OO4rlw1apkgw36ox9dECBQSoGqBHAsTXJOkpNKuQvlLkoAR7n3R3UECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUGWBxm8EG2xx/fXJnntWWUfvBAgQIECAAAECBAgQIECAAAECBAgQINCKwH77JVdfXT/yoYeS2bNbOXvdmMbXq6+6Knn601s/38jmAkuWJLNm1T8+b14yf3611RqvOYEvvX09vPa1yec+V99DETxRBFBU6Tj//OToo2sdn3xycuaZVRLQKwECBCZcoCoBHDcmuSbJcRMu3nsFCODovT1TMQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAj0u8ABByQ//nHzLt1k2u9XgP4IECBAgAABAgQIECBAgAABAgQIECDQWYHJk5PG15Zbfa25CIcoQiLWH1OnJitXdra+qs929tnJG95Qr/CDHyQHHlhNmaL3Zz+71vv06cmyZdW06Keut9giWbiw1lHx3LJoUT91OHIvc+YkRQDS+qPV5+GRZzaCAAECBFoUqEoAR/GX5XuS7JXk3hZtDFsnIIDDlUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBMok0PiNboNru/76ZM89y1StWggQIECAAAECBAgQIECAAAECBAgQIECgVwQaX39u5cPvt92W7LJLfYc+MD4+O77NNsndd7MuBIqQl9WraxbFdbjTTuPjbtbuCjQ+D73whcl//Ed3a5jI1Qb3v9lm9YEkE1mXtQkQIFAhgaoEcDwmyVlJ5iU5vQiVSPJgk32+s0L730qrAjhaUTKGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMt8AxxyTnndd8FTc0j/cOmJ8AAQIECBAgQIAAAQIECBAgQIAAAQL9LfDtbyfPf359jyeemHz84837bvyw/Lx5yfzi43uOcRFo9C6CKFauHJelSjvp0qXJzJn15XmPpLTb1XZh//3fydOeVn/alVcm++/f9lQ9d8JxxyVf+lKt7MsuS573vJ5rQ8EECBDodYGqBHCsSbI2yaSB/262b8WYqb2+qR2uXwBHh0FNR4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE2hZovKF28AQXXJAccUTbUzqBAAECBAgQIECAAAECBAgQIECAAAECBAg8QuBxj0tuvbX+xw89lMye/UisV70q+eIX638uCGF8L6olS5JZs+rXOOig5DvfGd91yzT7ttsmf/pTraK3vjX5yEfKVKFaxipw2GHJxRdX77ll2rRaoE7x3uCa4qPRDgIECBDotkBVAji+PELwxmD3Y7u9CSVfTwBHyTdIeQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQxwInnTT8Nwu6kbmPN19rBAgQIECAAAECBAgQIECAAAECBAgQmCCBoUKhh3o9unHcV76SHHPMBBVdoWVPO+2RgRPz5yfz5lUDofG6815Jf+77xhsnDz9c622zzZKFC/uz16KrBQuSuXNr/e2xR3LDDf3br84IECBQYoGqBHCUeAtKX5oAjtJvkQIJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoC8FhrrBeX2jH/1ocuqpfdm2pggQIECAAAECBAgQIECAAAECBAgQIECgBAKNr1E3fvh9882Tv/61Vmgxfs2aEhRekRKK/bj//vpmqxBE8frXJ5/5TK3vHXZIbr+9IptesTZXrEimT69v+rjjknPP7U+IIkDnl7+s9XbffckWW/Rnr7oiQIBAyQUEcJR8g0pQngCOEmyCEggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgQgIXXpgceWTzhqtwA22FtlurBAgQIECAAAECBAgQIECAAAECBAgQKKXAF76QHH98fWlnnJGcckqyaFEye3b9Yw8/nGy0USlb6duiGkNSZsxIlizp23b/p7HGnr1n0t/7ffnlycEH1/d4443J7rv3X9+TJyfrr+cpU5JVq/qvRx0RIECgRwQEcPTIRk1gmQI4JhDf0gQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQMYHGG0cHt/+WtyQf+1jFQLRLgAABAgQIECBAgAABAgQIECBAgAABAhMmsM02yd131y9ffEC88bXsHXZIbr99wsqs7MILFiRz59a3f/TRyXnn9SfJDTcke+1V601IQX/uc2NXz3528oMf1H5aPP+sWdNfvX/ve8lzn1vr6WUvS84/v7961A0BAgR6SKAqARxfbHFP1iZ5VYtjqzJMAEdVdlqfBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDBxAhdemBx5ZPP1fYPbxO2NlQkQIECAAAECBAgQIECAAAECBAgQIFBlgeGCo9e7eA174q6QY49Nvvzl+vXvuCPZfvuJq2m8Vp4+PVmxojb7VVclT3/6eK1m3jIJzJiRLFtWq2jrrZM//alMFY6tlkc9KrnvvtocnlPH5ulsAgQIjFGgKgEcI8VZFcEbk5IU/z1ljKb9droAjn7bUf0QIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQLkEhrt5+QUvSL71rXLVqxoCBAgQIECAAAECBAgQIECAAAECBAgQqI7Aww8nG2/cvN8PfCB5xzuq41HGTmfNSpYsqa+sHz/A3/h+Sj/2WMbrqww1FcErRQDL4OPkk5MzzyxDdWOvYfC1vdFGSfG86yBAgACBCROoSgDHY5oIb5Jk3yTvSvLTJKcluWPCdqOcCwvgKOe+qIoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEel3ghhuSvfZq3oUbR3t9h9VPgAABAgQIECBAgAABAgQIECBAgACB/hD44AeTd75z6F68ll2OPW4Mp9hkk+T++8tRWyeq2GOP5De/qc10+OHJhRd2YmZz9IrAeeclxxxTX+0ddyTbb98rHQxdZ/HcWjzHrj/OPTc57rje7kn1BAgQ6HGBqgRwjLRN2yW5LskpSc4daXDFHhfAUbEN1y4BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdEGg8UbYwUs++cnJz37WhSIsQYAAAQIECBAgQIAAAQIECBAgQIAAAQIEWhQoAh0efLB+8MMPJxtt1OIEho2rwM03J7vtVr/EyScnZ545rst2bfLG91UEv3SNvlQLPeUp9e+hTZ6crF5dqhLbLmbGjGTZstppru22CZ1AgACBTgsI4KiJfjXJE5Ls3WnkHp9PAEePb6DyCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBEAjfckOy1V/OC3FRXos1SCgECBAgQIECAAAECBAgQIECAAAECBAjUCQwOQZg9O3noIUBlEjjkkOSyy+orWrw4mTmzTFW2X0sRInLqqbXzNtssWbiw/Xmc0R8C06YlK1fWetl55+TWW3uzt6KPop/1xw47JLff3pu9qJoAAQJ9JCCAo7aZZyR5Q5IZfbS/nWhFAEcnFM1BgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQav51tsMhjH5v87neMCBAgQIAAAQIECBAgQIAAAQIECBAgQIBAeQWKEOlttkme9rTk4ovLW2eVK5s+PVmxol6g18O/G99fWbIkmeFjoJW9zBctSooAoMHHGWckp5zSeyQHHpj86Ee1um++OXn843uvDxUTIECgzwQEcKzb0ClJrk2yTZIt+2yPx9qOAI6xCjqfAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgMF77R6ze+2l0CBAgQIECAAAECBAgQIECAAAECBAgQIECgPAKN70lsuWVyzz3lqa+dSv7612TzzWtnFL2tWdPODMb2o8DHP56cdFJ9ZwsXJptt1lvdTp6crH+fsPjfq1f3Vv2qJUCAQJ8KVCWAY/8m+zc1yXZJjk3yzCRfSPKaPt3r0bYlgGO0cs4jQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIbbJCsWjW0w6abJsWNow4CBAgQIECAAAECBAgQIECAAAECBAgQIECAQKcEfvjD5FnPqp/trLMeGVjQqfXGc55Zs5IlS2orXHhhcvjh47miuXtFYNddk9/+tlbt1KnJypW9Un1yww3JXnvV6n3Oc5Lvfrd36lcpAQIE+ligKgEcRaTZ2mH2cVKSHyd5YZKH+ni/R9OaAI7RqDmHAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAg0fsPcYJH132ZFiQABAgQIECBAgAABAgQIECBAgAABAgQIECDQaYGnPjW55pr6WRcvTmbO7PRK4ztf43st3l8ZX+9em33KlGRN8fHhgWOffZJf/ao3unjMY5I776zVumJFUgT7OwgQIEBgwgWqEsDx3iYBHMVv1vuTXDvwnwnfkBIWIICjhJuiJAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoscBGGyXFTaxDHRtumCxdWuLilUaAAAECBAgQIECAAAECBAgQIECAAAECBAj0hUBjOEERZjE4rKDsTR5wQPLj4nvXB47990+uvLLsVauvmwL33ptstVX9il/6UvLKV3azitGtNThcxvuHozN0FgECBMZJoCoBHOPEV4lpBXBUYps1SYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIdEWj8JrbBk/pWto4Qm4QAAQIECBAgQIAAAQIECBAgQIAAAQIECBBoUaDxfYudd05uvbXFkyd4WGPt3meZ4A0p6fLvfnfy/vfXF7d8eTJtWkkLTnLOOckJJ9Tqe9/7kqIPBwECBAiUQkAARym2odRFCOAo9fYojgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRKITB3brJgwdClTJ6crF5dijIVQYAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRI4MILkyOPrG/4gguSI44oN8JFF9XXOHNmsnhxuWtW3cQJbLddctddtfWnT0+WLZu4ekZaeaON6q9n4TIjiXmcAAECXRUQwNFV7p5cTABHT26bogkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgawKN38A2eGE3zHVtGyxEgAABAgQIECBAgAABAgQIECBAgAABAgQIDCGw227JzTfXP1D29y+KcPPBNS5cmGy2me0l0Fyg8Zo54IDkiivKJ7ZyZTJtWq2uRz0q+fOfy1eniggQIFBhgX4N4Pj9KPd0bZKdRnluv54mgKNfd1ZfBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDA2gZ12Sn4/zC0KZb95dWzdO5sAAQIECBAgQIAAAQIECBAgQIAAAQIECBDoFYHGcILin1evLmf1S5cmM2fW1+Y9l3LuVZmquu22ZJdd6iu65JLk0EPLVGVyxBHJRRfVavrxj5NnPrNcNaqGAAECFRfo1wCOPyQpwjRGc+w4mpP6+BwBHH28uVojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVEKTJrU/MTrr0/23HOUEzuNAAECBAgQIECAAAECBAgQIECAAAECBAgQINBhgSVLklmz6iedNy+ZP7/DC3Vgui22SBYurE30T/+UnHZaByY2Rd8LvPa1yec+V9/m8uXJtGnlaX3q1Fr4TfF+45o15alNJQQIECDwPwL9GsBhezsnIICjc5ZmIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFeFzjggKT4Jqpmh29g6/UdVj8BAgQIECBAgAABAgQIECBAgAABAgQIEOhPgbPPTt7whvrefvCD5MADy9VvYwi6917KtT9lr6YxwKUInlm0qBxV33NPsvXWtVqe9KTk5z8vR22qIECAAIH/FRDA4WIYSUAAx0hCHidAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBagg03vA5uOvrr0/23LMaDrokQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEelNgm22Su++ur71MARdHHZV8/eu1+nbdNbnppt60VvXECTS+p3foockll0xcPetX3n33+uv5gQeSOXMmvi4VECBAgECdQFUDODZOUvxWejDJQ66JYQUEcLhACBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDaAkcfnZx/fnODMt2YWu2d0j0BAgQIECBAgAABAgQIECBAgAABAgQIECAwkkBjOMHUqcnKlSOd1Z3HG2vzHkx33PttlauvTvbbr76rK69M9t9/YjsdfH1vsEGyYsXE1mN1AgQIEBhSoEoBHFOSnJrk1Ul2HKRxe5IvJDkzySrXySMEBHC4KAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgugKNN3oOlrjgguSII6pro3MCBAgQIECAAAECBAgQIECAAAECBAgQIECg9wSWLElmzaqv+6CDku98Z2J7ueqq5JnPrNUwbVqyfPnE1mT13hU47LDk4ovr65/IQJdvfjN50Ytq9Rx/fPL5z/eur8oJECDQxwJVCeCYlqT46++AJGuT3JXkniRbJdk2yaQkP0ny3CQio+oveAEcffwEoDUCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaCJw4onJJz/ZnGcib9CzaQQIECBAgAABAgQIECBAgAABAgQIECBAgACBsQicdlrykY/UzzB/fjJv3lhmHdu5G2yQrBr0HevXXZfstdfY5nR2tQU23jh5+OGawWabJQsXToxJsfb999fW9l7jxOyDVQkQINCCQFUCOE5L8qEklyY5Ocmtg2x2SnJWkhckeUeSD7fgVqUhAjiqtNt6JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFkUvE9Hk2OD384edvbKBEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEelugMRCg6GYiQwEa35+ZyFp6e2dVv15gxYpk+vR6j+OOS849t/tGg6/vOXOSBx7ofg1WJECAAIGWBKoSwHHdgMYTkqwZQmZykl8lKe6gEYlWDySAo6X/KxlEgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAj0v8PWvJ0cd1bwNN3r2/BZrgAABAgQIECBAgAABAgQIECBAgAABAgQIEBgk0Bh6MWNGsmRJ94l23DH5wx9q655wQnL22d2vw4r9J3D55cnBB9f3dX88BOYAACAASURBVOONye67d6/XN785+dSnautdeGFy+OHdW99KBAgQINCWQFUCOIq/+D6dZLivoPlIkjcmmdmWYP8PFsDR/3usQwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBovMF0sEhxU9wnPsGIAAECBAgQIECAAAECBAgQIECAAAECBAgQINBfAgsWJHPn1vd09NHJeed1t8/G92mEonfXv99Xe85zku9/v9Zlcb2tWdO9rqdNS1aurK3n+u6evZUIECAwCoGqBHA8kOT8JK8fxuifk7w8yZxROA4+ZVKSXZI8KcmTB/57XpLZgwbtmGRQHFvLKz4qyTFJXpSkmGPzJH9JckuSi5N8LcnDLc/W2kABHK05GUWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvSjw9a8nRx3VvHI3wPXirqqZAAECBAgQIECAAAECBAgQIECAAAECBAgQaFXg2GOTL3+5fvQddyTbb9/qDGMb9+53J+9/f22OrbZK7r57bHM6m0CjwIwZybJltZ9uvXXypz+Nv9OSJcmsWbV1Hve45Le/Hf91rUCAAAECoxaoSgDHj5M8PsmeSe4bQmuLJDcMBFnsP2rNdYEbRQzWSCEeowngeGmSzw6EbjQr8Y6BgI6i304dAjg6JWkeAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECiXQOO3qQ2u7pBDkksvLVe9qiFAgAABAgQIECBAgAABAgQIECBAgAABAgQIjIdAERBQBAUMProVUt74fk1RRxGW4CDQSYEVK5Lp0+tnfNvbkg9/uJOrPHKu/fZLrr669vNuhtuMb2dmJ0CAQN8KVCWA4++TXJikCKj4QJIfJbknyZZJ/jbJO5PskOTIJP86ht0u5irmHuloN4CjCN8o6po0MHERs/WDJPcO1F2sO2XgsaVJDkwy6DfySOUM+7gAjjHxOZkAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIESidw/fXJ3ns3L6tbN5SWDkZBBAgQIECAAAECBAgQIECAAAECBAgQIECAQGUFGoMwNtkkuf/+8eX405+SbbetrTF5crJ69fiuafbqCpx3XnLMMfX9j3cgRnFNr3/vccqUZNWq6vrrnAABAj0iUJUAjmI7PpTktCRrh9ibItjiowOPj2Xr1gdwPJjkF0l+PvCfDZN8ZdDE7QRwPCbJzUmKOYrjx0mKQJE/D5pv5yTfTLLHwM+KcJFdkiweSzMD5wrg6ACiKQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgJAKNN48OLmvevGT+/JIUqgwCBAgQIECAAAECBAgQIECAAAECBAgQIECAQBcFbr452W23+gVPPjk588zxK2LDDZPly2vzf//7ybOeNX7rmZnAU56S/OxnNYfxDH25+upkv/1qax16aHLJJfaAAAECBEouUKUAjmIrnprkVUmemGROkiIo45dJvpjkvzuwV5smmZvk1oagj/XBHOuXaCeA46tJXj5w4h+S7JVk0RC1FjFvNwz0VTz8niSnd6AnARwdQDQFAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECEywwPXXJ3vv3byI9d88NcFlWp4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMGECL3hBcuml9csvXpzMnDk+JTUGp3u/ZnyczVovMG1asnJl7Wc775zcWnwsuMPHVlsl995bm3TFimSDDTq8iOkIECBAoNMCVQvg6LRfq/ONNoBj8yTFb9epAwsdk+S8YRZ9d5L3DTz+lyRbJVnTapFNxgngGCOg0wkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgggUab94cXM4OOyS33z7BBVqeAAECBAgQIECAAAECBAgQIECAAAECBAgQIFASgenTkyIoYPAxHsEYT35yMn9+bZUi/ONb3yoJgjL6WmDRomT27PoWzzgjOeWUzrY9+D3KIsSmCLNxECBAgEDpBaoSwHFYktclOTrJ3UPsyjZJvprk7CT/Pg67NtoAjmOTfHGgnkVJ5iZZNkx92yW5c9DjByT58Rj7EcAxRkCnEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMAECgwXvjEeN4tOYKuWJkCAAAECBAgQIECAAAECBAgQIECAAAECBAh0RKDx/ZUtt0zuuacjU//vJI1reN+ms75mG17g4x9PTjqpfszChclmm3VGrgj0eOtba3OdddYj1+vMSmYhQIAAgQ4LVCWA4/KB8Ip5w/j9LMl9SZ7fYeNiutEGcJw3EBpSzPG9JM9tobZbk+w8MO70JO9p4ZzhhgjgGCOg0wkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgAgSmTk1Wrx564U02Se6/fwKKsiQBAgQIECBAgAABAgQIECBAgAABAgQIECBAoAcEfvjD5FnPqi+0kwEC55yTnHBCbf6NN04efLAHYJTYVwK77pr89re1lor3F1eu7EyLM2cmS5fW5hIw0xlXsxAgQKALAlUJ4Lg7yaVJ/mEY03OSvCDJtuPgPtoAjl8keeJAPR9JcloLtV2U5O8Hxn0jyUtbOGe4IQI4xgjodAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDoskDjN6YNXt7NbV3eDMsRIECAAAECBAgQIECAAAECBAgQIECAAAECPSnw1Kcm11xTX/rixUkRLDDWY/LkZPB7NkuWJDNmjHVW5xNoX2DKlGTNmtp5++yT/OpX7c8z+IwixGPatNpPttkmueuusc3pbAIECBDomkBVAjiWJTkzyTuHkf1AklOSbDgO+qMN4FicZP1fo69L8tkWavtoklMHxt2YZM8WzhluiACOMQI6nQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgS6JDBrVlLcoDnUMX16sqy4fcBBgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQkkBjOEERgj44rKClSRoGLV1aH+LRiTlHU4dzCBQC996bbLVVvcWXvpS88pWj9znkkOSyy2rnX3ttsu++o5/PmQQIECDQVYGqBHAU0VD/leTwYXQvSnJAki3HYQdGE8BRBIEsHVTLi5Nc0kJtJyU5a2DcPUm2buGc4YYI4BgjoNMJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoAsCxc2ZzY7B36DWhVIsQYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDoG4HG92B23jm59dbRt7fxxsnDD9fO/8IXkle9avTzOZPAWAXe/e7k/e+vn2X58mTatNHNPDi4RsDM6AydRYAAgQkUqEoARxGu8cIkT0xy8xDeuyX5ZZL/l+SwcdiP0QRwbJHkvkG1PC/Jd1qo7XVJPjMwblGS2S2cUwyZ32TcrvPmzZs5f36zh1uc3TACBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAeAltskSxcOPTMbmgbD3FzEiBAgAABAgQIECBAgAABAgQIECBAgAABAlUSuPDC5Mgj6zu+4ILkiCNGp9AY6CFIfXSOzuqswHbbJXfdVZtz+vRk2bL21/jd75IipGb98fSnJ1dd1f48ziBAgACBCROoSgDHvkl+muTBJKcPBFn8Kck2SYpgi3clmZPkGUmuGYfdGE0Ax3ZJ7hxUy7OS/LCF2o5Lcu7AuNVJprZwTjFEAEeLUIYRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQEkEGm/QHFyWmzVLsknKIECAAAECBAgQIECAAAECBAgQIECAAAECBHpeYLfdkpsbvht9NO/FPP/5ybe/XePYd9/k2mt7nkcDfSIweXIy+Lo+4IDkiivaa64I3yhCONYfixcnM2e2N4fRBAgQIDChAlUJ4CiQj09ydpIpQ4gXQRUnJPnCOO3GaAI4tkhy36B6iqCQ77RQ3+uSfGZg3KIks1s4Z7gh8+fNmzdv/vxm+RxjnN3pBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgXYEdd0z+8IfmZ43mhs92azCeAAECBAgQIECAAAECBAgQIECAAAECBAgQIFAlgcZwguKfVxcfzWzjaAxX955OG3iGjrvAbbclu+xSv8wllySHHtr60oOv8WnTkuXLWz/XSAIECBAohUCVAjgK8N0Ggjb+JskmSR5IcnWSc5LcNI47MpoAjg2TLB1U04uTXNJCjSclOWtg3D1Jtm7hnOGGCOAYI6DTCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCDAo03Zg6e+rrrkr326uBipiJAgAABAgQIECBAgAABAgQIECBAgAABAgQIEPgfgSVLklmz6jHmzUta/fLvyy5LDjmkdv6GGyZLB3+EkjOBEgi89rXJ5z5XX0gRolGEaYx0nH9+cvTRtVEnn5yceeZIZ3mcAAECBEomULUAjoniH00AR1Hr4iQzB4p+XZLPttDAR5OcOjDuxiR7tnDOcEMEcIwR0OkECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0AGBZz4zueqq5hP5hrQOIJuCAAECBAgQIECAAAECBAgQIECAAAECBAgQIDCMwNlnJ294Q/2AH/wgOfDAkdmmTEnWrKmNu+uuZJttRj7PCALdFpg7N1mwoLZqETyzaNHIVcyZkzz0UG2c9y9HNjOCAAECJRQQwNGdTRltAMcvkjxxoMSPJDmthXIvTHL4wLhvJHlpC+cMN0QAxxgBnU6AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECYxSYNKn5BNddl+y11xgXcDoBAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBLAkVoxt131w8dKWhg6dJk5vrvKh84daRzWirGIALjJND4/uShhyaXXDL8YoPP2Xzz+hCPcSrTtAQIECDQeQEBHJ03HWrG0QZwnJfk6IEJv5fkuS2Ue2uSnQfGnZ7kPS2cM9wQARxjBHQ6AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIxS4Oijk/PPb36yGzNHCes0AgQIECBAgAABAgQIECBAgAABAgQIECBAgMAYBBrDCaZOTVaubD7hVlsl995be/xd70pOLz7+6CBQUoGrr07226++uCuvTPbff+iCjzsu+dKXao9ddlnyvOeVtDllESBAgMBwAgI4unN9jDaA49gkXxwo8eEkc5MsH6bkbZP8cdDjByT58RhbFMAxRkCnEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMAoBBpv3Bw8RRHK8bKXjWJSpxAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIxZYMmSZNas+mkOOij5zneGnrrxfR8h62PeAhN0QeCww5KLL65fqNm1O21aLYSmuN7XrOlCgZYgQIAAgfEQEMAxHqqPnHO0ARybJ/lzkikDU748ydeGKfldSdbHvv0lyVZJxvpbWgBHd64RqxAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAIXDiicknP9ncwg2ZrhMCBAgQIECAAAECBAgQIECAAAECBAgQIECAwMQLnHZa8pGP1Ncxf34yb179z17zmuTzn6/9bMcdk9//fuLrVwGBVgQ23jh5+OHayM02SxYurD9zwYJk7tzaz/bYI7nhhlZmN4YAAQIESigggKM7mzLaAI6iuq8mKYI3iuP2JHslWTxE2dskKX4jbzLw2HuTvK8D7Qng6ACiKQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgBYHGbz8bfMqHP5y87W0tTGIIAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAVwSKMIL7769fqjFMvfH9H2HrXdkai3RIYMWKZPr0+smOOy4599zaz4rQmV/+svbP992XbLFFhwowDQECBAh0W0AAR3fExxLAsUOSm5JsOFDqj5IckeQvg0rfKcklA+EcxY/vTbJLkkUdaE8ARwcQTUGAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECwwh8/evJUUc1H+BGTJcPAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCcAo0BGzNmJEuWrKv1+uuTvfeu1T11arJyZTn7UBWBZgKXX54cfHD9ozfemOy++7qfTZ6crH8/0zXuOiJAgEDPCwjg6PwWfiHJkxum3ShJEZKx/igCNVY0jPlskuI/Qx2HJbkoyaSBB5cl+f5A0MZjkhyYZMrAY0sH/vnqDrUmgKNDkKYhQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgSEEGm/KHDzkzW9OPvEJbAQIECBAgAABAgQIECBAgAABAgQIECBAgAABAmUVWLAgmTu3vrqjj07OOy+ZPj1ZMeijlNdem+y7b1k7UReB5gIHHZR897u1x4v3ONesSb73veS5z639/GUvS84/nyQBAgQI9LCAAI7Ob94VSQ4YxbTvS/LeYc4rQjiKgI7NhhlzZ5Jjklw5ivWbnSKAo4OYpiJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBAYGvfz056qjmHOu/JQoYAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAuQWOPTb58pfra7zjjuQxxfePDzq8/1PufVTd8AIzZiTLltXGbL11snJlct99tZ+5xl1FBAgQ6HkBARyd38LxCuAoKn1UklcmOTTJY5NsmmRBkt8muTjJeUke7nBLAjg6DGo6AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIVF6g+EaoZschhySXXlp5IgAECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgZ4SmDUrWbKkecnHHJN85Ss91ZJiCdQJrFiRTJ/eHGWjjZKHO/0RX3tAgAABAt0WEMDRbfHeW08AR+/tmYoJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQToHrrkv22ad5bb4Rqpz7pioCBAgQIECAAAECBAgQIECAAAECBAgQIECAQCsCw4Wwex+oFUFjyi7wta8lL3/50FWee25y3HFl70B9BAgQIDCCgAAOl8hIAgI4RhLyOAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMLDDcDZfz5iXz5488hxEECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLlFbj55mS33R5Z3+abJwsWlLdulRFoR+ApT0l+9rNHniFkph1FYwkQIFBaAQEcpd2a0hQmgKM0W6EQAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9KDAddcl++zTvHA3ovXgpiqZAAECBAgQIECAAAECBAgQIECAAAECBAgQINBE4AUvSC69tP7BxYuTmTOREegfgWnTkpUra/08+tHJvff2T386IUCAQIUFBHBUePNbbF0AR4tQhhEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAg8CkSc1Jdtghuf12ZAQIECBAgAABAgQIECBAgAABAgQIECBAgAABAv0mMH16smLFuq4mT06WLk2KwAIHgX4RWLQomT271s3nP58cf3y/dKcPAgQIVFpAAEelt7+l5gVwtMRkEAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjUCQwXvrF2LSwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAIF+Fth553XhG7fc0s9d6q3KAn/4Q/K0pyVnnZUceWSVJfROgACBvhIQwNFX2zkuzQjgGBdWkxIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBPBaZMSdasGbq5OXOSBx7o08a1RYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0MsCAjh6efe6U7sAju44W4UAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9LzBpUvMe1q7t/f50QIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0LcCAjj6dms71pgAjo5RmogAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJ9KjBzZrJ06dDNTZuWLF/ep41riwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoF8EBHD0y06OXx8COMbP1swECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDofYFJk5r3sHZt7/enAwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUoICOCoxDaPqUkBHGPiczIBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgT6VGDzzZO//rV5c8I3+nTjtUWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6E8BARz9ua+d7EoARyc1zUWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIF+EJg0qXkXgjf6YYf1QIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBConIAAjsptedsNC+Bom8wJBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6FOBxz8+ueWW5s0J3+jTjdcWAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKD/BQRw9P8ej7VDARxjFXQ+AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+kFg0qTmXfz618nee/dDl3ogQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoqIAAjopufBttC+BoA8tQAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9J3A05+e/PSnzdtau7bvWtYQAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBA9QQEcFRvz9vtWABHu2LGEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoF8EJk1q3smvf53svXe/dKoPAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBigsI4Kj4BdBC+wI4WkAyhAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAn0l8LKXJRdc0LyltWv7ql3NECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBDA4RoYSUAAx0hCHidAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA/CUya1Lyb885Ljj66n7rVCwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIH/ERDA4UIYSUAAx0hCHidAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA/CLzpTcmnP928k7Vr+6FLPRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYUkAAhwtjJAEBHCMJeZwAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9LjBpUvMOPvSh5O1v7/UO1U+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgWAEBHC6QkQQEcIwk5HECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAj0qsDXvpa8/OXNq1+7tlc7UzcBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBtgQEcLTFVcnBAjgque2aJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECg7wUmTWre4hvfmHzqU31PoEECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC6wUEcLgWRhIQwDGSkMcJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQSwLXXZfss0/ziteu7aVu1EqAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgIwICODrC2NeTCODo6+3VHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEClRKYNKl5u897XnLZZZXi0CwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB9QICOFwLIwkI4BhJyOMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAou8B11yX77NO8yrVry96B+ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMq4AAjnHl7YvJBXD0xTZqggABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBygpMmtS89Sc8IfnlLytLo3ECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC6wUEcLgWRhIQwDGSkMcJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQRoHrrkv22ad5ZWvXlrFqNREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYEAEBHBPC3lOLCuDoqe1SLAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBJJMmtScYfvtkzvuwESAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwCABARwuh5EEBHCMJORxAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlElguPCNtWvLVKlaCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJRGQABHabaitIUI4Cjt1iiMAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECgwSmTEnWj+OxvwAAIABJREFUrBmaZM6c5IEHcBEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0ERAAIdLYyQBARwjCXmcAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECEy0waVLzCtaunejqrE+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECg9AICOEq/RRNeoACOCd8CBRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCJwMyZydKlQz84bVqyfDk6AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRaEBDA0QJSxYcI4Kj4BaB9AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRKKjBpUvPC1q4tadHKIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBOAQEc5dyXMlUlgKNMu6EWAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIbLBBsmpVcwfhG64RAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAm0LCOBom6xyJwjgqNyWa5gAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgdIJzJiRLFs2fFmCN0q3bQoiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDoHQEBHL2zVxNVqQCOiZK3LgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC1RaYMyd56KHWDIRvtOZkFAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEmAgI4XBojCQjgGEnI4wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOiUwKMfnfzlL63PdvnlyXOf2/p4IwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQGFJAAIcLYyQBARwjCXmcAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECYxHYZZfkttvam2Ht2vbGG02AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwLACAjhcICMJCOAYScjjBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaFdgv/2Sq69u7yyhG+15GU2AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgDQEBHG1gVXSoAI6Kbry2CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDosMDBByeXX97epEI32vMymgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMAoBQRwjBKuQqcJ4KjQZmuVAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEOCxxxRHLRRe1N+qtfJfvs0945RhMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMCYBARxj4qvEyQI4KrHNmiRAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoGMCb3hDcvbZ7U0ndKM9L6MJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFhAAEeHQftwOgEcfbipWiJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoMMCH/xg8s53tjep0I32vIwmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMI4CAjjGEbdPphbA0ScbqQ0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDos8NWvJq94RXuTCt1oz8toAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAl0SEMDRJegeXkYARw9vntIJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI/H/27jza0rK6E//XiiCFioAGLOkEJK6I/lpil1JCmhJUBIwyarfGRFe3rYmJmigmq0FcGtIqdFo0cYqJdvx1mzgkCxDEgcHIYEsKLG3tGIdEsdWU4MCkMshQvW68pbeq7jnnnc457/OeT63lP5zn2c/en/3c91xZvLsIdCzw2c8mj350vaD/438kz31uvT1WEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwUwEDOGbKXeRhBnAU2TZJEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQmUCToRuveU1y+umdpSAQAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLTFTCAY7q+Q4huAMcQuqgGAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTqCTQZuvGiFyVveUu9c6wmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKAXAgZw9KINvU7CAI5et0dyBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0JtBk6MYzn5m8732dpSAQAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLzETCAYz7uJZ1qAEdJ3ZIrAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgXkJbN2a3Ote8zq93bl18z7mmOSjH213pt0ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECPRKwACOXrWjl8kYwNHLtkiKAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQA8EnvGM5JxzepDIDFI49NDkqqtmcJAjCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYh4ABHPNQL+tMAzjK6pdsCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECExX4IUvTP7sz6Z7Rl+iP+xhyT/+Y1+ykQcBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAlMUMIBjirgDCW0Ax0AaqQwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECjQXOOCP5gz9ovL2ojfvsk1x/fVEpS5YAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfYCBnC0Nxx6BAM4ht5h9REgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYTeAv/iL5T/9pMWzWrk1uvXUxalUlAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKrChjA4WJMEjCAY5KQzwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgMReAzn0nWr69XzX//78nznldvj9UECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDomYABHD1rSA/TMYCjh02REgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHOBJoM3TjjjORVr+osBYEIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwbwEDOObdgWrn/4ck76q29CerNiU5tOae1ZYbwNEBohAECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEeiXQZOjGH/xB8upX96oMyRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKArAQM4upKcbhwDOKbrKzoBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB4Qs0GbrxjGckf/M3w7dRIQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECCy9gAEcZV2DlAI4tSc6rkPa1Sc6usG7Sks3r169fv3nz5knrfE6AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQB8F7nWvelk96UnJpZfW22M1AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEChcwgKOMBq4cwHF5kiNnmLYBHDPEdhQBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBTgTqDt147GOTa67p5GhBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUKKAARxldM0AjjL6JEsCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC8xOoO3TjgAOSa6+dX75OJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQI8EDODoUTPGpGIARxl9kiUBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB2QrUHbrx4Acn3/rWbHN0GgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAoQMICjgCYlMYCjjD7JkgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMD0BeoO3XjAA5Kbbpp+Xk4gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAwQIGcJTRPAM4yuiTLAkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhMR6Du0I21a5Nbb51OLqISIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBggAIGcJTR1JUDOK5O8pokv5Rk7yRL/9Xct5Nck+RTSe7suKTN69evX7958+aOwwpHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBYgbpDN9asSe6+GyoBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQINBAwgKMB2hy2rBzAMe747yZ5S5I/SnJbR3kawNERpDAECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEJgrUHbqxFHDr1olhLSBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB8QIGcJRxQ6oO4NhWzd8nOSHJVzsozwCODhCFIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDBSYM2a+kM0DN1woQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINCpgAEcnXJOLdjSAI4zkrw/yceSfD7Jd5dP2y/J45O8OMn6FRn8U5JDk3yvYlabR6w7aP369btv3jzq44rRLSNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4KcCu+6a3HlnPRFDN+p5WU2AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEaAgZw1MCa49I9k9yS5J4xOaxJ8pokp61Y82dJXlgxbwM4KkJZRoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCRwP3ul/zwh/W2GrpRz8tqAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQINBQwgKMhXI+3vTfJs5bzuyvJQ5J8p0W+m9evX79+8+ZR8zlaRLaVAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwNAFHvSg5Hvfq1eloRv1vKwmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBABwIGcHSA2LMQD0vyjyty+vUkf9UiRwM4WuDZSoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgsIAC+++ffP3r9Qo3dKOel9UECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDoWMAAjo5BexLu2iQHLOfyuiSnt8jLAI4WeLYSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgsiMAjHpF88Yv1ijV0o56X1QQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEJiigAEcU8SdY+hPJjls+fw/T/KbLXIxgKMFnq0ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIDFnjiE5OPf7xegYZu1POymgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAjMSMIBjRtAzPuazSQ5ePvONSU5pcb4BHC3wbCVAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBiYwMknJ+edV68oQzfqeVlNgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBOQgYwDEH9CkfuXuSG5LcZ/mc30/y+hZnGsDRAs9WAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBAQj8xm8k73hHvUI2b07Wr6+3x2oCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQmJuAARxzo5/awb+Z5O0roj8myadbnGYARws8WwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAoVePWrkz/8w3rJG7pRz8tqAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9EjAAI4eNWNEKvdL8oOKaT4yySeS7LW8/u+THJxka8X9qy0zgKMFnq0ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIFCbzznckLXlAvYUM36nlZTYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgZ4KGMDR08asSOulSf5dkj9N8sEkN6+S8i5JnpPk7CR7Ln9+T5JjklzaskQDOFoC2k6AAAECBAgQIECAAAECBAgQIECAAAECBAgQINBjgU9/OnnMY+ol+I53JM9/fr09VhMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBArwUM4Oh1e/4luaUBHG9cTvOuJF9M8qUkNya5V5J1SQ5LsteKUrYmeUmSt3ZQngEcHSAKQYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CMBQzd61AypECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoB8CBnD0ow/jslg5gKNKttcm+Y0kl1ZZXGGNARwVkCwhQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDouUCToRuvelVyxhk9L0x6BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINCFgAEcXShON8ZuSQ5Jcujy/w5M8sDl/907yc1Jvpnk6iQfWv7fPR2mZABHh5hCESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIzFCgydCNF7wg+fM/n2GSjiJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBPggYwNGHLvQ7BwM4+t0f2REgQIAAAQIECBAgQIAAAQIECAxd4F73+nGFW7cOvVL1ESBAgACB7gS2fX9WjfiEJyR/+7dVV1tHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgMUMIBjgE3tuCQDODoGFY4AAQIECBAgQIAAAQIECBAgQIBAZYEdXx42hKMynYUECBAgsIACdYdurF+fbN68gFBKJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHVBAzgcC8mCRjAMUnI5wQIECBAgAABAgQIECBAgAABAgSmITDqJWJDOKahLSYBAgQIlCpQd+jGz/988n//b6nVypsAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEpihgAMcUcQcS2gCOgTRSGQQIECBAgAABAgQIECBAgAABAgUJjHuZ2ACOghopVQIECBCYikDdoRv77ptcd91UUhGUAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBIYjYADHcHo5rUoM4JiWrLgECBAgQIAAAQIECBAgQIAAAQIEVhOo8lKxIRzuDgECBAgsmkCV78eVJve/f3LLLYumpF4CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaCFgAEcLvAXZagDHgjRamQQIECBAgAABAgQIECBAgAABAj0QqPpy8ZVXJocf3oOEpUCAAAECBKYoUPV7cVsK97lPcvvtU0xIaAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYsoABHEPubje1GcDRjaMoBAgQIECAAAECBAgQIECAAAECBMYLjHrJeOvWZLXPlv65PwQIECBAYGgCdYduLK2/556hKaiHAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBOYgYADHHNALO9IAjsIaJl0CBAgQIECAAAECBAgQIECAAIECBcYN39hWzo5r7n//5JZbCixWygQIECBAYAeBukM3lrYbROUaESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEDHAgZwdAw6wHAGcAywqUoiQIAAAQIECBAgQIAAAQIECBDokUCV4RtL6a62zsvHPWqkVAgQIECgloChG7W4LCZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB6QsYwDF949JPMICj9A7KnwABAgQIECBAgAABAgQIECBAoL8CVYdvbKvAEI7+9lJmBAgQIDBZYJddkrvumrxu5QrDpup5WU2AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECjQUM4GhMtzAbDeBYmFYrlAABAgQIECBAgAABAgQIECBAYKYCdYdvLCX3ohclb3vb9ml6MXmmbXMYAQIECNQUuO99k1tvrbfJd1s9L6sJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBMBAzg6YRx0EAM4Bt1exREgQIAAAQIECBAgQIAAAQIECMxFoMnwjW2JrrbXi8pzaaNDCRAgQGCEwAMfmNxwQz0e32X1vKwmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgc4FDODonHRwAQ3gGFxLFUSAAAECBAgQIECAAAECBAgQIDBXgTbDN7YlvmOMRz0q+dzn5lqWwwkQIEBgwQV+7ueSb36zHoKhG/W8rCZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBqQoYwDFV3kEEN4BjEG1UBAECBAgQIECAAAECBAgQIECAQC8Euhi+sVTIanG8xNyLFkuCAAECCyXw8IcnX/5yvZJ9X9XzspoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEZiZgAMfMqIs9yACOYlsncQIECBAgQIAAAQIECBAgQIAAgV4JdDV8Y1tRhnD0qr2SIUCAwMIIHHlkcvnl9co1dKOel9UECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMBcBAzjmwl7UoQZwFNUuyRIgQIAAAQIECBAgQIAAAQIECPRSoOvhG0tFPv7xyZVXbl+uF5x72X5JESBAoHiBE09Mzj+/Xhm+k+p5WU2AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECcxcwgGPuLeh9AgZw9L5FEiRAgAABAgQIECBAgAABAgQIEOi1wDSGb2wreLXYXnju9XWQHAECBIoReN7zkne9q166n/pU8pjH1NtjNQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6ImAARw9aUSP0zCAo8fNkRoBAgQIECBAgAABAgQIECBAgEDPBaY5fGNb6TuecdJJybnn9hxGegQIECDQS4HTT09e97p6qRm6Uc/LagIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDorYABHL1tTW8SM4CjN62QCAECBAgQIECAAAECBAgQIECAQFECsxi+sQSy2jlbtxZFJVkCBAgQmKPA29+e/NZv1UvA0I16XlYTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQBECBnAU0aa5JmkAx1z5HU6AAAECBAgQIECAAAECBAgQIFCkwKyGb2zDMYSjyGsiaQIECMxNYGmAxiGH1Dv+T/80eeEL6+2xmgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIFCRgAEdBzZpTqgZwzAnesQQIECBAgAABAgQIECBAgAABAoUKzHr4xhLTQx6SfOtb24Nt3VoooLQJECBAYCoChm5MhVVQAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBiOgAEcw+nltCoxgGNasuISIECAAAECBAgQIECAAAECBAgMT2Aewze2Ka52tiEcw7tjKiJAgEAdgSZDN17xiuS1r61zirUECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGAQAgZwDKKNUy3CAI6p8gpOgAABAgQIECBAgAABAgQIECAwGIF5Dt9YQvzEJ5KNG7fnPPPM5NRTB0OsEAIECBCoINBk6MZ//I/JX/xFheCWECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB4QoYwDHc3nZVmQEcXUmKQ4AAAQIECBAgQIAAAQIECBAgMFyBeQ/f2Ca7Wh5btw7XXWUECBAg8FOBUd9Fo4yWhjZKoAErAAAgAElEQVRdcQVBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYFnAAA5XYZKAARyThHxOgAABAgQIECBAgAABAgQIECCw2AJ9Gb6xrQuGcCz2fVQ9AQKLJVB36MbBByef/exiGamWAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUFDCAoyLUAi8zgGOBm690AgQIECBAgAABAgQIECBAgACBCQJ9G76xlO4uuyR33bV94lu3aiUBAgQIDEWg7tCN/fZLvvnNoVSvDgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMDUBAzimRjuYwAZwDKaVCiFAgAABAgQIECBAgAABAgQIEOhUoI/DN7YVuFpuhnB02n7BCBAgMFOBukM3fvZnk29/e6YpOowAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJQuYABH6R2cfv4GcEzf2AkECBAgQIAAAQIECBAgQIAAAQKlCfR5+MaS5Sc+kWzcuL3qlVcmhx9emrR8CRAgsLgCdYdu3O9+yfe/v7heKidAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi0FDOBoCbgA2w3gWIAmK5EAAQIECBAgQIAAAQIECBAgQKCGQN+Hb2wrZbU8t26tUailBAgQIDBzgbpDN3bdNbnjjpmn6UACBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDBEAQM4htjVbmsygKNbT9EIECBAgAABAgQIECBAgAABAgRKFihl+MY24x3zXbs2ufXWkjsgdwIECAxPoO7QjSUBA5WGdw9URIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJzFzCAY+4t6H0CBnD0vkUSJECAAAECBAgQIECAAAECBAgQmIlAacM3llBWy9lL2zO5Lg4hQIDAWAFDN1wQAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQOwEDOHrXkt4lZABH71oiIQIECBAgQIAAAQIECBAgQIAAgZkLlDh8YxuSIRwzvy4OXCCBb34zueuu5IADFqhopTYSWBp+tGZN/a2GJtU3s4MAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECDQUMICjIdwCbTOAY4GarVQCBAgQIECAAAECBAgQIECAAIFVBEoevrFUzllnJaedtn1hXuh21Qm0Fxj1bGgfebYR3vzm5MUvnu2Zi3Za3bviGb1oN0S9BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINATAQM4etKIHqdhAEePmyM1AgQIECBAgAABAgQIECBAgACBKQuUPnxjG89qdXjBe8qXR/hBC9QdqFAChmdC91361KeSQw6pFpd/NSerCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAFAUM4Jgi7kBCG8AxkEYqgwABAgQIECBAgAABAgQIECBAoKbAUIZvbCt7x3oe+tDkq1+tiWI5AQIZ4vCNbW1985uTF79Yk7sQqHJPDN3oQloMAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQmYABHJ1RDjaQARyDba3CCBAgQIAAAQIECBAgQIAAAQIERgqsXZvcfvvOH5f8svRqL4OXXI/rS2AeAlWGKswjr67P9GxoJzrunrBtZ2s3AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYooABHFPEHUhoAzgG0khlECBAgAABAgQIECBAgAABAgQIVBS4//2TH/xg58VDeGnaEI6Kl8AyAqsIjBqqUPKzYdygiE2bkg0bXIU6AuM8d9kl+dGP6kSzlgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEJixgAEcMwYv8DgDOApsmpQJECBAgAABAgQIECBAgAABAgQaCjzwgckNN+y8ueQX7FdWc/LJyXnnbV/fUGpr2HLbCFQSGOLwjW2FP/Shyde+NprBM6LSFcm44RsMqxlaRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE5ixgAMecG1DA8QZwFNAkKRIgQIAAAQIECBAgQIAAAQIECHQgsG5dct11Owca2ovTq70kPrQaO7gOQhD4icCQh2+sbPO4ARKbNiUbNrgUqwnsumty552jbTxf3RsCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFCMgAEcxbRqbokawDE3egcTIECAAAECBAgQIECAAAECBAjMTOChD02+9rWdjxvqi9M7vmh/0knJuefOjNtBBIoRWJThG9sa8qAHJd/73uj2DPWZ2PRCjhtawqqpqn0ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBuAgZwzI2+mIMN4CimVRIlQIAAAQIECBAgQIAAAQIECBBoJLBowzeWkFZ7adzL4o2uj00DFli04RsrW2mwxPiLvddeyU03jV7jeTrgB4PSCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGDIAgZwDLm73dRmAEc3jqIQIECAAAECBAgQIECAAAECBAj0UeBf/+vk85/fObNFeHnaEI4+3kg59UVg112TO+9czGfDtqp32y25447RHVmE5+Rq1Y8bTnLNNcljH9uXWywPAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoKaAARw1wRZwuQEcC9h0JRMgQIAAAQIECBAgQIAAAQIEFkLg8MOT//W/di71iiuSjRuHT3Dggcm1125f56K+UD/8bquwjsDatcntt++8Y1F/PsYNnFgkk/32S7ZsGX2TFsmizs+TtQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoCABAzgKatacUjWAY07wjiVAgAABAgQIECBAgAABAgQIEJiiwIknJuefv/MBizJ8Y1vlq71Y7yXyKV48oXsvsMceyfe/v3Oai/5zMW4Ix9Jn99zT+9a2SnBc/VdfnRxySKvwNhMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL9EDCAox996HMWBnD0uTtyI0CAAAECBAgQIECAAAECBAgQqC9g+Mb2Zju+WH7mmcmpp9Z3tYNA6QJ7753ceOPOVSz68I2VIuMGUQzR6VGPSv7+70ff7CHWXPrPsfwJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEALAQM4WuAtyFYDOBak0cokQIAAAQIECBAgQIAAAQIECCyEwG/9VvL2t+9c6hVXJBs3LgTBTkWu9kK9l8oX8y4sctUPfnBy/fU7C/hZ2Nlk3BCO3XdPfvjDYdykcXVefXVyyCHDqFMVBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwE8EDOBwGSYJGMAxScjnBAgQIECAAAECBAgQIECAAAECZQgYvjG6T4ZwlHGHZTkdgZ//+eQb39g5tuEb473HDago2e5pT0s+9KHRtZdc23R+gkQlQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKDETCAYzCtnFohBnBMjVZgAgQIECBAgAABAgQIECBAgACBmQm89rXJK1+583FXXJFs3DizNHp70O67J7fdtn16XjLvbbsk1qHAwx+efPnLOwd0/6shjxvCsW5dsmVLtTh9WTWunre+Nfnt3+5LpvIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEpiBgAMcUUAcW0gCOgTVUOQQIECBAgAABAgQIECBAgACBhRFYGq5xxBGjy10ayvGKVywMx8RCV3vx3BCCiWwWFCxg+EY3zbv66uRxjxsdq4TnyGmnJWedVXYN3XRTFAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgsNACBnAsdPsrFW8ARyUmiwgQIECAAAECBAgQIECAAAECBHojsNogiR2TM3xj53Z94hPJxo3b//Mrr0wOP7w3rZUIgc4ENmxIrrlm53AlDIvoDKHjQOOevY98ZPL5z3d8YEfhxuV96qnJmWd2dJAwBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQN8FDODoe4fmn58BHPPvgQwIECBAgAABAgQIECBAgAABAgQmCVQZurEtxm/+ZvL2t0+KuJifr+ZoIMFi3oUhV3300ckll+xc4VVXJYceOuTKp1/b1Vcnj3vc6HP69Dx529uSF72ojFyn3zknECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAkkM4HANJgkYwDFJyOcECBAgQIAAAQIECBAgQIAAAQLzEagzdGMpw333Ta67bj65lnTqjq5r1ya33lpSBXIlMFrg2c9O3vvenT83fKPbWzPu+fyUpyQf/nC359WNNi6/pz41ufDCuhGtJ0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAYgYADHAJo45RIM4JgysPAECBAgQIAAAQIECBAgQIAAAQI1BOoO3bjvfZMf/KDGAZZmNeOtW8EQKF/A8I3Z9vAtb0le8pLRZ87juXLNNcmGDf3KabZdcRoBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwRsAAjrKux5okJyZ5dpJ/k2RdktuSfDPJRUn+/yT/0HFJBnB0DCocAQIECBAgQIAAAQIECBAgQIBATYG6QzfWrEnuvrvmIZZvJ2AIhwsxNIGXvzx5wxt2ruqqq5JDDx1atf2qZ9wz/DnPSf7n/5xNvuPyeNSjks99bjZ5OIUAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDorYABHL1tzU6J7Z/k3Uk2jkn5riSvS3JGkns6Ks0Ajo4ghSFAgAABAgQIECBAgAABAgQIEKghUHfoxlLorVtrHGDpWIGzzkpOO237JXxdmlIFDN+Yf+f+839O/uiPRucxzefLNdckGzbM5+z5y8uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqCFgAEcNrDku/dkkVyX5hRU5fDrJ0l/Hdr8kj0+yz4rP3pjklI7yNYCjI0hhCBAgQIAAAQIECBAgQIAAAQIEJggYutGvK7JaP6b5kny/qpfNUAT++I+Tl71s52o++cnksMOGUmU5dYx7zr/pTclLXtJtLePOe8hDkn/+527PE40AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoWsAAjjLa95Ekxy6nenOSZya5aEXq90nyX5P87op/9vQk53ZQngEcHSAKQYAAAQIECBAgQIAAAQIECBAgMELA0I1+X40d+7NuXbJlS79zlh2BbQKjhm+88Y3JS1/KaV4Cz31u8u53jz69i0E/11yTbNgw3TPm5edcAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYGoCBnBMjbazwE9I8rcroh2X5MIR0c9JcvLyZ19O8v8luatlJgZwtAS0nQABAgQIECBAgAABAgQIECBAYAcBQzfKuRKr9aqLl+PLEZBpqQJ/93fJYYftnL3hG/3p6LjvgqX+Pe5xzXIdF3fPPZMbb2wW1y4CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBg8AIGcPS/xeclOXE5zaVBHE8ak/IBSb6SZM3ymqcl+VDLEg3gaAloOwECBAgQIECAAAECBAgQIECAQBJDN8q9BoZwlNu7Rc181PCNU05Jzj57UVX6Wfcv/3Jy1VWjc6s78Gfcd03dWP0UkxUBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwRQEDOKaI20Ho3ZN8N8na5Vi/nuSvJsS9dMWQjncleV7LPAzgaAloOwECBAgQIECAAAECBAgQIEBgYQUM3RhG608+OTlvaU7wij9eZB9Gb4dYheEbZXZ13PfFpk3Jhg3j6xq3f5ddkh/9qEwXWRMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIzFTCAY6bctQ97UpKlgRrb/uyXZMuEKKcnec3ymq8n2b/2qdtvMICjJaDtBAgQIECAAAECBAgQIECAAIGFEthtt+SOO+qVbJhDPa95rF7t5XZ9m0cnnDlOYNTwjV/91eQ972HXd4GHPjT52tdGZznqmTNu+IbnVN+7Lj8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAQM4etWOnZL5nSR/svxPr0/y4ArpPiXJh1es2yPJ9yvsG7XEAI4WeLYSIECAAAECBAgQIECAAAECBBZCYO+9kxtvrFeql6LrefVh9Y4vuW/cmFxxRR8ykwOBxPCN4dyCcQM1Nm1KNmz4ca277prceefoun3PDOdOqIQAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMxIwACOGUE3POatSX57ee+mJIdWiPPIJJ9fse6QJJ+qsG/UEgM4WuDZSoAAAQIECBAgQIAAAQIECBAYpMDSS83r1iXXL82MrfHHy9A1sHq4dLWX4vW0h41awJRGDd948pOTiy9eQJABlPygByXf+16zQjyXmrnZRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQAjn5fgvcleeZyihckOaFCunsnWflfpR6TpM1/YWwARwV0SwYkMO5vVyypTP+ReUndkisBAl0L7Pgs90zsWlg8AgRKElj5TPzAB5ITqvzfypIKlCsBAnMRqPv/nf0+Npc2Te1QQzimRitwC4HV7uUhhyRXX90iqK29EPCd04s2SIIAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECCyKgAEc/e70hUmeupzi+5M8q0K6a5PcumLdM5KcU2Hf5hFrDlq/fv3umzeP+rhCZEsIlCRQ9z/o7nNt55yTnHxynzOUGwECBLoT2H335LbbJsfz8udkIysIEChfYNLvtJ6F5fdYBQTmJbBmTVL1GVJ13bxqcW5zgQMPTK69dvv9+t3c0872AoZvtDfse4TddkvuuGN8lp5Dfe+i/AgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQBECBnD0u00fS/LE5RTfneS5FdJdk+TuFeuek+QvK+wzgKMCkiULIDDpZcUSCfzH5yV2Tc4ECFQR2Hvv5MYbq6xcfY3nY3M7OwkQ6J9A3d9jL7kkOeqo/tUhIwIE+itQ5Tlz+eXJ4x/f3xpk1p3AavfB79fd+YpUXWC1u/iLv5h86UvVY1hZjsCo7yLPn3J6KFMCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBzAQM4+t2gC5M8dTnF9yd5VoV01ya5dcW6ZyQ5p8K+UUs2r1+/fv3mzaPmc7SIbCuBPgpUeaGoj3lPyumcc5KTT560yucECBDov8AjHpF88Yvd5+llne5NRSRAYPoCXfzu6vk3/T45gUDpAnvtldx00+gqDN0ovcPN89/xe+jMM5NTT20ez04CdQVW+13o534u+frX60ayviSBlX2/+urkkENKyl6uBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQM8FDODod4Pel+SZyylekOSECununeR7K9Ydk+TiCvtGLTGAowWerQRmLjDpJUwvWM68JQ4kQKADgcMOS/7u7+oF+uAHk6c9LZn0XFwtqmdlPWurCRCYrUDT59q4fZdckhx11GzrcBoBAmUIjHt2XHZZcsQRZdQhy+kIrHY//C49HWtRdxZY7f7tu29y3XW0FkXgrruSe997UapVJwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAjAQM4ZgTd8Ji3Jvnt5b2bkhxaIc4jk3x+xbqlv/7tUxX2jVpiAEcLPFsJzE1g3EtS556bnHTS3FJzMAECBCoJnHhicv75lZb+ZNG2oRujdjV9ab1eFlYTIECge4Gunl9r1iTjXoz20nT3vRORQKkC+++ffP3ro7P3vCi1s93nbQhH96YiThZY7d7ttVdyww2T91pBgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYIyAARz9vh6/k+RPllO8PsmDK6R7bJKPrFi3R5LvV9g3aokBHC3wbCUwV4FJL2p6YWqu7XE4AQKrCPze7yVnn12PZtLQjVHRJj0jV9vnuVmvN1YTINBOYJddkqW/1bvOn6rPqXHPwKox6uRlLQECZQmMe0ZcdllyxBFl1SPb6QrssUfy/R3+1aPvkumaL3r01Z5R979/csstiy6jfgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQ4EDODoAHGKIZ6U5NIV8fdLsmXCeacnec3ymqW/qnT/lvkZwNES0HYCcxfwguXcWyABAgTGCDQZuvHylyevf313rIZxdGcpEgEC7QSW/ub2m26qF6PpS86Tnn1N49bL3moCBPokcOihyaZNozPyXOhTt/qVy2rfKe5Lv3o0lGxWu2u77ZbcdttQKlQHAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAnAUM4JhzAyYcv3uS7yZZu7zu15K8Z8KeS5IctbzmXUme17JEAzhaAtpOoBcCXrDsRRskQYDAssCFFybHHVePo+uhG6NOn/S8XG2flwvr9dJqAgS2F1i3LrnuunoqXT53DGurZ281gaEKjHsWnHFG8qpXDbVydXUh8IlPJBs3bh/pyiuTww/vIroYBH4ssNpzapddkh/9iBABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBzgQM4OiMcmqBzkty4nL0j60YrrHagfsn+WqSNcsfLr3ZemHLzAzgaAloO4FeCXjBslftkAyBhRJoMnTjhBOSD3xgfkyGcczP3skEhi7w6Ecnn/1svSq7HLqx48mTnnfTPLuegtUECHQt8IIXJO985+iofv67Fh9uvNW+S9yf4fZ71pWN+l3FHZt1J5xHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBi8gAEc/W/xE5MsDd7Y9udXknxkRNp/neTfLX/2j0kemeSuliUawNES0HYCvRPwgmXvWiIhAoMVaDJ049BDk6uu6h/JpGfnjhnvvnvywx/2rw4ZESAwP4Ejj0wuv7ze+RdfnDz5yfX2tFltWFsbPXsJlCcw7mf++c9P3vGO8mqS8XwFdrxT9753cued883J6eULGL5Rfg9VQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoSMAAjjKatTRw49jlVG9K8swkF69I/T5JzkzyshX/7BlJzumgPAM4OkAUgkAvBbxg2cu2SIrAIATqDqs46KDkC18op/S69f2rf5V84xvl1CdTAgS6E/jVX03e97568WY9dGPH7CY94/xN8/X6aTWBPgr84R8mr3716Mz8nPexa2XktNp3iPtURu/6mqXhG33tjLwIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAoMVMICjjNbuk2Tpr4I/cEW6m5N8Lsn9khyRZGnNtj9/vMMwjjZVGsDRRs9eAn0X8IJl3zskPwLlCEx6nuxYyV57JTfcUE59ozKtW/cjHpH8wz+UX7cKCBAYLXD66cnrXldPaN5DN1bL1rC2ej20mkApAuN+tp/61OTCC0upRJ59FTCEo6+dKS8vwzfK65mMCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIDEDCAo5wmHpDk3UkOH5PyXUnOTPIHSe7pqDQDODqCFIZArwW8YNnr9kiOQG8F6g6fWLs2ufXW3pbTKrEPfSh52tPqhTjssOSTn6y3x2oCBPop0GToxitekbz2tf2sZ1tW457z971v8oMf9Dt/2REg8FOByy9PjjxytMjWrbQIdCNw1lnJaadtH+vKK5PDx/0rzW6OFmVAAoZvDKiZSiFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlCVgAEdZ/VqT5KQkz07yb5KsS3J7km8kuTjJu5J8vuOSDODoGFQ4Ar0VmPQivReyets6iRGYqcCkZ8VqySza86PJMI4TT0zOO2+mrXQYAQItBS65JDn66HpBSvZjLbwAACAASURBVBi6sWNFl16aPPnJo+tctGd8vY5bTaAfAuN+fzvooOQLX+hHnrIYjsBqd873xXD6O+1KDN+YtrD4BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECYwQM4HA9JgkYwDFJyOcEhiRw7rnJ058+uiIvzOxsc8cdyT33JGvXDukmqIXATwV++MPkfverL+J58WOzJsM4fu/3kv/23+qb20GAwPQF3vnO5AUvqHfOs56VvPe99fb0cfW4F/jXrUu2bOlj1vPN6eabkwc8YL45OH2xBS6/PDnySP//brFvwfyq3/F7w3fF/HpR0smGb5TULbkSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAYpYADHINvaaVEGcHTKKRiBQgTGvWB53/smP/hBIYVMKc19902+/e0pBZ9D2Je+NHnjG+dwsCN7LzDuWbBa8oZujG/p7/9+8vrX977tEixUwM/fdBt38cXJMcdUP+OII5LLLqu+vpSVl16aPPnJo7N1D5O6352l9L60PD/+8fGDJ0qrp0m+4+7iPvsk11/fJKo9BKoLeB5Wt7JyvIDfL9wQAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBGQoYwDFD7EKPMoCj0MZJm0BrgXPPTZ7+9NFhFu0FiMc+Ntm8uTVr7wOcd15y4om9T1OCUxZYuza5/fZqhyzas6CayuRVhnFMNrKivoCfx/pmVXZUfYH4l34p+d//u0rE8teMM3n0o5PPfKb8GutUUPWO1IlpbXcCizaM4/LLxw8f8V3R3d0SabKA5+NkIyvGC3hmuSEECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIzFjCAY8bgBR5nAEeBTZMygU4Fxr0wc+CByVe+0ulxvQr21KcmH/5wr1KaaTIf+EBywgkzPdJhPRCo8pKcl6C6bdRJJyVLP2/+EOhCYM2a5O67u4gkxsUXJ8ccM97hwQ9OvvWtxbR65SuT1752dO1D/66o8n25mDej31Uv8r3cddfkjjv63R/ZDU/gRS9K3va24dWlotkIDP2ZPRtFpxAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECNQUMICjJtgCLjeAYwGbrmQCOwn8zu8kb37zaJghvRSx6EM3RnXZMI7hPxj22y/ZsmUxfs773M1f/uXkqqv6nKHcShEY0nfzPMzHDVf4mZ9J7rprHln188xxVs9+dvJXf9XPvJtkZehGE7X+7hnac3Lc/Rxarf29VTJbTeDf/tvkk59kQ6C6wJ57/njA2W67Vd9jJQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGOBAzg6AhywGEM4Bhwc5VGoLbAuJe6nvKU5MMfrh2yFxt+93eTN72pXipLQ0n+5E/q7enj6g0bkmuuqZeZYRz1vEpYPe5n+4ILkuOOK6EKORJYTIFxP7977JHcfPNiurSp2kvs9fV+7deS97xn9L6SX/5vMnSj5Hrrd79/O/bZJ/nOd+rlVXLPJt3Rkmur10WrCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAawEDOFoTDj6AARyDb7ECCdQU+JVfST7ykdGbSnnB67zzkpNPrlf8UIZujKp63brkuuvqmZTS73pVLc7qQw9NNm0q/+d5cTqmUgKrC1x0UXLssX6W294PL7G3FUzGGZ5+evKa17Q/YxYRJt2F1XLwO9EsOlP/jN13T267rd6+knppYFC93lpNgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQmCBjA4YpMEjCAY5KQzwksqsC4l71e8pLkTW/qn0yToRtLA0c+9KH+1TLtjB7wgOSWW+qdUtLLivUqG+bqcT/Dp5ySnH32MOtWFYEhC4z7uT7ggOTaa4dcfbvavMTezm/l7ic+Mfn4x0fH6+vvC4ZudHcH+hppSD2eVEtff876ejfkRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIElgUM4HAVJgkYwDFJyOcEFlngF34h+epXRwv04cWvJkM3HvOY5FOfWuTObl/7pBf8VpPqQ+91cHWBE05ILrig3z+3ekeAQHOBiy5Kjj3Wz3hVwUnfcb7PqkruvG6c7SWXJEcd1Tx2Vzsn9d/vOF1J9y9Oyb03MKh/90lGBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAYAQM4BtPKqRViAMfUaAUmMCCBcS+BnXNOcvLJsy+27kt1S8NE/umfZp9naSfWdV2qz8vL/enyuP4df3xy/vn9yVUmBAi0Exj3875xY3LFFe3iD2G3l9in38WHPSz5yldGnzOP3xH8LjP9vpd2Qil3Ys2a8b9Xz+PnqbRey5cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECEwQMIDDFZkkYADHJCGfEyDwY4F99km+853RGrN4Iazuy3NLOV9/vQ42FajrvXTOLO5B03qGvO/lL0/e8Ib5/nwO2VdtBPoqcNppyVln+dnfUWDS95fvqu5v9DjzSy5Jjjqq+zNXRrzPfZIf/ajeGe5BPa+hrJ70fFitzlncFQODhnLD1EGAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECPRcwgKPnDepBegZw9KAJUiBQlMC4l8POOSc5+eRuy6n7kty9753ceWe3OYiW1O3DktksXlbUm/G9efjDky9+kRIBAkMXGPeMfsYzkr/5m6EL/LQ+L7HPr9d7753ceOPo87v+veCBD0xuuKFevV3nUO90q/sm0Iffb/faK7npptn93PStB/IhQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIzFjCAY8bgBR5nAEeBTZMygbkLTHpZre3LjZPirwbQ9sy5oxaUgP70o1kf/GBy/PGjc/Ez0Y8+yYLArAQe//jkyisX95kw6bvJM3FWN3H8YKhLLkmOOqp5Lvvtl2zZUm+/3tfzWtTVk54h0/j/H+POvOyy5IgjFrUb6iZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAlMTMIBjarSDCWwAx2BaqRACcxAY99LYuecmJ51UPal5vPRWPTsrRwno23zuxjj3PfdMbrxxPnk5lQCB+QuMez6cempy5pnzz7HrDMbVfNFFydFHd32ieJME1qxJxg2+qDMUY/365DOfmXTi9p/XiV8vstWLIDDt32/33z/5+tdHS7q/i3DL1EiAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECcxIwgGNO8AUdawBHQc2SKoFeCkx6QW3cC2ST9q5WsBfSenkN/iUp/Zx+bz74weT440ef4+dj+j1wAoESBA4+OPk//2f4z4qlgUM33zz8Oku4c6NyHPe7wbjvrKOOSj72sXqVX3pp8qQn1dtjNYFJAl3/fjsu3mWXJUccMSkjnxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQItBAzgaIG3IFsN4FiQRiuTwNQFqr5g2fVLbFMvzAGNBPS5EdvYTeNM16xJ7r67+zNFJECgbIFxz42PfjQ55phy6xtX20UXJUcfXW5tQ8t80u8E2wZxPOc5yV/+Zb3qDd2o52V1O4FJd3nH6GvXJrfe+uN/euihyaZNo883RK1db+wmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIVBQzgqAi1wMsM4Fjg5iudQOcCdV9KG5eAl9A6b8/cAja5F/q/fbuqDriZW5MdTIBAbwX23Tf59rdHp1fa8/bAA5Nrrx1OPb29OFNIrMnvA6ulYejGFJojZG2Bru7zGWckr3pV7eNtIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBJoJGMDRzG2RdhnAsUjdViuBWQk0fSGttJeAZ+U5pHOa3I1FvheTvBbZZkg/F2ohMAuBcc+Tj340OeaYWWTR7oxxNVx0UXL00e3i2z19gUnfa6MyeOUrk//yX6afnxMINBFoeq/9HtdE2x4CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBKwACOVnwLsdkAjoVosyIJzEGg6otoXjybQ3N6cmTVO7Iy3UW6L+N8FsmhJ9dVGgQGIfAzP5Pcc8/oUvr6bDniiOSKK8rLexCXZkpFVPkdwNCNKeELO1WBKnf7+c9P3vGOqaYhOAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQILC6gAEcbsYkAQM4Jgn5nACBdgKrvYTW1xd821VqdxuBKi8rrox/n/skt9/e5sT+7p1k4eenv72TGYFSBEoa8DMu19NOS173ulLU5bmjwGq9/fVfT979blYEyhe47LLkCU/YuQ6/x5XfWxUQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQNECBnAU3b6ZJG8Ax0yYHUJgwQW++91ky5bk4IMXHEL5lQQmDaDYMci6dT++X0P4U9JL8UPwVgOBRRaY9Kyd90viz3xm8td/PbpD885vke9O17V//OPJkUcmk+5k1+eKR2BWAkvPqy99KTnooFmd6BwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBghIABHK7GJAEDOCYJ+ZwAAQIE5idQ92XcX/zFH7/gWNqfSXV60by0jsqXQDkCfRz8My6nf//vk/e/vxxfmRIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0BsBAzh604reJmIAR29bIzECBAgQ+InABRckJ5xQD2TDhmTTpnp75rG6jy+/z8PBmQQIzE+gL0OAXvGK5MwzRzsYRjS/O+JkAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgMQMIBjAE2ccgkGcEwZWHgCBAgQ6FigyTCO445Llvb16U9fXnjvk4lcCBCYr8A8BwKNO/vgg5PPfna+Nk4nQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKB4AQM4im/h1AswgGPqxA4gQIAAgakJNBnG8bKXJW94w9RSqhR43IvmSzUtDQzxhwABAvMQmPVwoIsvTo45ZnSlW7fOQ8GZBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgMUMAAjgE2teOSDODoGFQ4AgQIEJiTwCmnJG98Y73Dzz8/Of74envarF67Nrn99tERvGjeRtdeAgS6FBg3iKOrZ9W4M/bdN7nuui4rEosAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQUXMIBjwS9AhfIN4KiAZAkBAgQIFCbQx2Ec4140v+CC5LjjCkOWLgECgxcY99xasya5++5mBBdfnBxzzOi9XQ34aJadXQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIDFTAAI6BNrbDsgzg6BBTKAIECBDoocDxxycf/GC9xM4/P1na18Wf/fZLtmwZHcmL5l0oi0GAwLQELrooOfbY7p5h44Z6rF2b3HrrtCoRlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBBRcwgGPBL0CF8g3gqIBkCQECBAgMROBxj0uuvrpeMW2GcYx70fyCC5LjjquXi9UECBCYl8C459keeyQ33zw5s3ExDCOa7GcFAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKtBAzgaMW3EJsN4FiINiuSAAECBHYSeMhDkm99qx5M1RfEDzoo+dKXRseuGqdedlYTIEBgugIXXZQce2z9Z9u4wRtL0TwTp9s30QkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ+BcBAzhchEkCBnBMEvI5AQIECAxfYM89k5tvrlfnqBfGx71ofsopydln1zvHagIECPRNYNxz7oADkmuv/WnG49YavNG3zsqHAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwKAFDOAYdHs7Kc4Ajk4YBSFAgACBwQisWZPUfSl8af0JJyQXXDCaoW7MwYAqhACBQQpcdFFy7LHNS/NMbG5nJwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECjQQM4GjEtlCbDOBYqHYrlgABAgRqCdzrXrWWr7r4+OOT889vH0cEAgQI9FGg7nPS4I0+dlFOBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBBZCwACOhWhzqyK/t3bt2r0f8YhHtApiMwECBAgQGLzApz9dv8T16+vvsYMAAQKlCfzzPyfXXz85a8/EyUZWECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwNYEvfOELue22225I8sCpHbJK4A7+uvhZprvQZ12bZI8kX1toBcUvmsBBywV/sbDCS817ibnU3EvNm/nsf7jdFeZ1BEq9L/Ku0+Vu1jLvxrFOFOZ1tNqvLdXb71rte98kQqn3Rd5Nut1uD/N2fnV3l+rtWV63092sL/W+yLub/teJwryOVjdrmXfjWDVKqd6+P6t2uNt1pd4XeXd7D6pEY15Fqds1zLv1nBStVG/fn5M62/3n7kr3ppMiMp8k1P3npZqXmrdnefd3uErEUu+LvKt0t9s1zLv1rBKNeRWl7taU6u37s7s7UCdSqfdF3nW63M1a5t04Vo1SqrdnedUOd7uu1Psi727vQZVozKsodbuGebeek6KV6u37c1JnfU6gXwIHJLklyUNnmZYBHLPUdhYBAnUFNi9veEzdjXNeX2reS2yl5l5q3sxn/8PqrjCvI1DqfZF3nS53s5Z5N451ojCvo9V+baneftdq3/smEUq9L/Ju0u12e5i386u7u1Rvz/K6ne5mfan3Rd7d9L9OFOZ1tLpZy7wbx6pRSvX2/Vm1w92uK/W+yLvbe1AlGvMqSt2uYd6t56RopXr7/pzU2e4/d1e6N50Ukfkkoe4/L9W81Lw9y7u/w1Uilnpf5F2lu92uYd6tZ5VozKsodbemVG/fn93dgTqRSr0v8q7T5W7WMu/GsWqUUr09y6t2uNt1pd4XeXd7D6pEY15Fqds1zLv1nBStVG/fn5M663MCBGIAh0tAgECfBUr9JazUvP3yOJ+fhlLvi7xnf1+YM68q4K5UlepuHfPuLKtGYl5Vqpt1pXr7/bab/teNUup9kXfdTrdfz7y9YZ0IpXp7ltfpcndrS70v8u7uDlSNxLyqVHfrmHdnWSVSqd6+P6t0t/s1pd4XeXd/FyZFZD5JqPvPmXdvOi5iqd6+P2d7T0r2Ljl3P5/ueVUBd6WqVHfrmHdnWTVSqeal5u37s+rN7HZdqfdF3t3egyrRmFdR6nYN8249J0Ur1dv356TOdv+5u9K96aSIzCcJdf95qeal5u1Z3v0drhKx1Psi7yrd7XYN8249RSMwOAEDOAbXUgURGJSAX2Rm307mzKsKuCtVpbpbx7w7y6qRmFeV6mZdqd7+5Wg3/a8bpdT7Iu+6nW6/nnl7w7oRmNcVa7e+VG/fn+363mS3u9JErd0e5u38muwu1bzUvD3Lm9zS9ntKvS/ybt/7uhGY1xVrv555e8M6EUr19v1Zp8vdrS31vsi7uztQNRLzqlLdrCvV27O8m/7XjVLqfZF33U63X8+8vWHdCMzrirVbX6q37892fW+6u9T7Iu+mHW++j3lzu6Y7mTeVa7avVG/fn8363WaXu9JGr9le5s3c2uwq1bzUvD3L29zW5ntLvS/ybt7zpjuZN5Wzj8CCCBjAsSCNViaBQgX8IjP7xjFnXlXAXakq1d065t1ZVo3EvKpUN+tK9fYvR7vpf90opd4XedftdPv1zNsb1o3AvK5Yu/Wlevv+bNf3JrvdlSZq7fYwb+fXZHep5qXm7Vne5Ja231PqfZF3+97XjcC8rlj79czbG9aJUKq37886Xe5uban3Rd7d3YGqkZhXlepmXanenuXd9L9ulFLvi7zrdrr9eubtDetGYF5XrN36Ur19f7bre9Pdpd4XeTftePN9zJvbNd3JvKlcs32levv+bNbvNrvclTZ6zfYyb+bWZlep5qXm7Vne5rY231vqfZF385433cm8qZx9BBZEwACOBWm0MgkUKuAXmdk3jjnzqgLuSlWp7tYx786yaiTmVaW6WVeqt3852k3/60Yp9b7Iu26n269n3t6wbgTmdcXarS/V2/dnu7432e2uNFFrt4d5O78mu0s1LzVvz/Imt7T9nlLvi7zb975uBOZ1xdqvZ97esE6EUr19f9bpcndrS70v8u7uDlSNxLyqVDfrSvX2LO+m/3WjlHpf5F230+3XM29vWDcC87pi7daX6u37s13fm+4u9b7Iu2nHm+9j3tyu6U7mTeWa7SvV2/dns3632eWutNFrtpd5M7c2u0o1LzVvz/I2t7X53lLvi7yb97zpTuZN5ewjsCACBnAsSKOVSaBQAb/IzL5xzJlXFXBXqkp1t455d5ZVIzGvKtXNulK9/cvRbvpfN0qp90XedTvdfj3z9oZ1IzCvK9Zufanevj/b9b3JbneliVq7Pczb+TXZXap5qXl7lje5pe33lHpf5N2+93UjMK8r1n498/aGdSKU6u37s06Xu1tb6n2Rd3d3oGok5lWlullXqrdneTf9rxul1Psi77qdbr+eeXvDuhGY1xVrt75Ub9+f7fredHep90XeTTvefB/z5nZNdzJvKtdsX6nevj+b9bvNLneljV6zvcybubXZVap5qXl7lre5rc33lnpf5N285013Mm8qZx+BBREwgGNBGq1MAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB1QUM4HAzCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEFlrAAI6Fbr/iCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEDOBwBwgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBBZawACOhW6/4gkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAzgcAcIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQWWsAAjoVuv+IJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQM4HAHCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEFlrAAI6Fbr/iCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBD4f+ydB9Q0RZX+f0cRRDCAimIWRUyYs5jDmsO6ZsziYl4j5pzXnHNa87rmnBZzWnPAiKKoqCCSJf/P41T/337nm5munqmumTvv0+d8h49vblc//dRz63bdrrptBsyAGTADZsAMmAEzYAbMgBkwA2bADJgBM2AGzIAZMANmwAyYATNgBsyAGTADZsAMmAEzYAbMgBkwA2bADLgAhzVgBsyAGTADZsAMmAEzYAbMgBkwA2bADJgBM2AGzIAZMANmwAyYATNgBsyAGTADZsAMmAEzYAbMgBkwA2bADJgBM2AGzIAZSqtGeAAAIABJREFUMANmwAyYATNgBsyAGTADZsAMmAEzYAbMgBkwA2bADJgBM7ClGXABji3d/b55M2AGzIAZMANmwAyYATNgBsyAGTADZsAMmAEzYAbMgBkwA2bADJgBM2AGzIAZMANmwAyYATNgBsyAGTADZsAMmAEzYAbMgBkwA2bADJgBM2AGzIAZMANmwAyYATNgBsyAGTADZsAMmAEX4LAGzIAZMAOryYDG59NXE5pRmQEzYAbMgBlYWQYcP1e2awzMDJgBM7AlGHAc2hLd7Js0A2bADJiBwgw4fhYm1M2ZATNgBszA2jPg2Ln2XewbNANmwAyYATOwiQHHfgvCDJgBM2AGzEB/Bhw/+3PmM8yAGTADZsAMOH5aA2bADJgBM2AG+jPg+NmfM59hBsIw4AIcYbrKQM2AGViAAT/MLEBeoVPdB4WIdDNmwAyYgYoMeOyuSPaES5n/5fLvq5sBM7BcBjwGLpd/Xd19sPw+MAIzYAbMQF8GPHb3Zay8vfugPKdu0QyYATMwNAMeu4dmuLt990E3R7YwA2bADJiBMgw45pThcZFW3AeLsOdzzYAZMAPLYcBj93J4b1/VfbD8PjACM2AGzEBfBjx292WsvL37oDynbtEMmAEzMDQDHruHZtjtmwEz0JsBF+DoTZlPMANbkoEzAKdtyTtfzk2fB9gb+C7wt+VA8FUB6f709KchRHGzeajXb6t42F/r90oEXUxjZavopXnmre23W4Xf+l43+YqOn6vRE1Hj52qwNx+KqHFoq4yRy4pBUtNW4Xg+zyl/luNQeU77thg5Btlf+/b24vaOn4tzOGQLjp9DsrtabTt+Lr8/HD+X3wdREESNnVtpbuT4GcWbFsPp2LkYf6XOdvwsxaTbWWUGosb+rZRjWVbs30ocr4KPOvavQi94/dBq9EIMFI6fq91Py4qdWyk3sSoKcPxcfk943rz8PoiEwPFztXvL8XO1+6ckOsfPkmzO15bj53y8bdWzHD9Xu+cdP1e7f0qic/wsyabbMgMryIALcKxgpxiSGVgDBsarji3z4fGSwPbAr4DjZ3C7SpXSHgg8E3gr8ArgkIT7jKkQSu0N5PNKcifgQsDlgeOAXwM/B06d0WCTOJDJqtznRYBTgL8AJ03BPinhMS9vJc47N3AB4Bjgzwl/U0xE99L0QdSJdwmOtmobk8a6s3SMj22uljmeb4U+c/xcrJfXIX6uS+xUT0aMn4sp0Gd3MeAY1MXQ8n9flTgUcQ6n3nMc8hxuUS/2PG5RBtfzfMfP1e9Xx8/F+sjx0/FzMQWB4+eiDK7n+Y6fq9+vjp/z99E6xE7d/brkQaPmQB0/5/dBn7l6DDjur16fjCNy3F+sj9Yh9q9L3I/6/tNxfzEfXNezHT9Xv2cdPxfrI8dP550XU5Dzzovyt67nO36ufs86fi7WR46fjp+LKcjxc1H+1vV8x8/V71nHz8X6aB3i52IM+GwzsOYMuADHmnewb88MFGBgH+DMwI+BwzraW6UiFoKq4g+vBG6eilk8B/jNjHvYHbhoKrKwYypacCRwKHBsAS5zm3gf8G/J+KhUhOOFwNG5DayA3W2BpwCXBcShip+oAMfbgXe0imus4tdRpPfrAncFzpb+7AbsmgpX/AL4GfBD4KvAQWN81/SD9rVUcONOwL8AOwDnSj6g4gqHJ/6lf+H/HvAD4HcroJXIEMTtNYAbJm1IC98Hfpn+v6YWcnhs/E1avjVwX0Bj3e8T7o8lbeS0FcGm4X+P1E9HJN13xbJS9+b46fjZV0uRY6fuNVL87Ns3q2ofKQ45Bo2evWrFIGk2ahyKOocT59HncZHjULQY5HncciOr4+dy+Z919WXP4Rw/68/hHD+X64+On8vlP9LVI8VO8er5p+efuf4Vdf4Zfe6p/vH8M1eli9t5/rk4h1uxhUixf6vFfelx2XNn553rrh3yvHn5o3CkubPj/nL14vi5XP6ddx6G/6jzZsfPYfSQ22qk2Nl+vtbfvf42t5fL2Tl+luOydEvLnnv6va3f286jaeed52FtvnM8/5yPt1JnOX6WYrJ8O46f83Pq+ef83PlMM2AGBmbABTgGJtjNm4E1YODLwF7A24BnA3+fck/N4oZzAJdImzBVAOCMaaPZIUvY7P+wVARCm83vkwo/nDoBvx7WHgRcG7gacKa0ef6vqfiGNtR/HPgccFxrUcNQ3atiJ5cGTk5YTkjFHt4IfAjQJvJVPJoJw6OAZyYNnJ74auN9PPD8pA31x3mA6wF3BvSlKBU8+S7wxfRfFR6pVchAxVpU7OTiifs27kn3ot9VYOQj6c+nAPVXzWNn4P7Ak1KRkNxrn5YK6wjzJ4FvLQF7LtZVsmu0qAIW0rGKO+jYPv1Xfis+n5H0q3+upd9ZPDUY9gTelDbljtufBPx7Gu/bv2ksVzGdq6RxSUVcfpoKd0hHQx8vAo5JfP4K+AOg4kRdh+KPxpj9gQOAcwIPSYWAahT/cfwcFaRx/Jyt1HWInbrDiPGzawxZ1d8jxiHHoPoxSPqNGoeizuHEecR53DrEoagxyPO4upHW8dNzuFzFOX7WncM5fjoHmuubjZ3jZ1/G5rePGDvbeVjnQEfF0GvkQD3/dA40d6Tx/BOW8Q5R/eP4mavSrW0XMfZHzjtLbX7/WfdjIc471x3j1iHuR33/6bi/HK1HWj8UOX5GjZ2eN9efNzvv7Lxz32jg+NmXscXsPf/0e9tcBfm9rd/b5mhlHeafXvdUf+9NjrZWzcbx0/EzV5OOn46fuVqxnRkwA5kMuABHJlE2MwNbmIFmc/Wb0ybmU2Zw8cC0AVMTQW18lq02Sf8Z+Dnw4VSkQEU8amxI/wJw3VSwQoUdJhVGUNGN1wKXyehjFYRQoY6DMmwXMdEGfvH3D2CHVgGLvwDvAV4F/DJdQHbqIxWHWIXjGsCX0sJO9bH+aFP/icBZE0BtiL8S8CPg+sAL0sb+SfhVFOIxaQPh0Pf3BOBZHRdR3+gQ3yrU0sRR3ePvgY8Cb00FU4bGq/aljzcA+0642OGpH1QURwttpx3qD20WlLaEXf5awz+3SzyW1q8K6qiSugo2yGcmFd1ZtG8eDrykpYXx5ynpQwV8ngu8bNGLFTxfL4s0jl1xSptNkRn5pwonSDf3BZ4KnJ/R13xko3FdmpFe9LU9HUNqZrzIh7StMVAY9OcnwMGpv4+fcG+vBh6Q7udmwGcqLT53/NzoDMfP2Y4cOXbqziLGz8gxSJxHjEOOQVAzBkknUeNQ1DmcOI86j4schyLGoMjzOMfPgpOzzKYcPx0/M6WC42cuU+XsHD/r5kAdP7fVrnOg0/3Z8dPxM3e0jxo/o8491S+On46fuf4Zdf4ZFXfTL84713v32c7fNvz7/eewa16ixn3nnTciR821Q1Hff0ZdP+T4mfuEVM7O82bPm3PV5PiZy1Q5O8+bPW/OVZPjZy5T5ewcPx0/c9Xk+JnLVDk7x0/Hz1w1OX7mMlXOzvHT8TNXTY6fuUzZzgyYgeoMuABHdcp9QTMQioGLAr9OG9lfCDxzCnpNRrQR+9+A7dNmL23cbjZzt0/7IXAv4AcDM3GBVChDeN6ZNpGPX/LCwPcAFSjQJn0Vs9Cmed3PLlPw6XdVrtfL3SGOhvPjgP9NOFQkpH0cDfxn+iqKinToGHLze+59irPXAHdKGtCm+EcAupc9gFsCtwF2SvjflO7xfB0XUHGL+wPvyAXS005avT3w36lojE7/KfCudB/CpwIt+wA7pral7T8BZ0n6aV/yFwnvV3ri6Guul+f7AS9Pm/2kAeHWl+1U5Ea8qVCCCuEIt4rQ7AXsDegLgOeccMFfJf/8el8wBezVD02hEG0YHS+60HWJxgekwUsB8hMVXTis68Sev98I+GziVWOFDo0j4lxaaRa/C4+u/TTg9TOu0eC+J3DNVERC460KiJQ8VJREX/Z5XhrvtEj3E8A3Embp+/JpLNFX2G6RsD+lpflJz40q3CLss4ozLXIfzZioAkoqeqNxehIO+eQhqdiTivuoMIcKP8kf3w3cIJ2/G6AFbEOPmY6f2/a64+dkT4gaO3U3UePnpJ6IEoOEPWIccgwaxbBaMUg6iRqHos7h2pxHm8dFjUORY9A6zeMcP0dzoaHmcY6fjp+5c2nHz1ymytk5fo64rJUD1bUcPzf06xzobF92/HT8zB3to8ZPv0Pctof9DnG66h0/68fP8d7wvNnz5mke6vefG8zUWD8UNe4771w/7kd+/+m4v5y47/e2G7x77dD053K/t93MzdBrhxw/68dPv7fdzPmy1t96/un556RIFHXu6XVP2/am4+f0Zy2/t/V729z3QpPsHD8dPx0/V2P/p/O3i4xkPtcMmIHBGXABjsEp9gXMQGgGbgt8EPgD8ORUZGN80/LZ05fPH9MquKGiEPqjwhaTinCocMFNUrGAoQi6FfCRtJn9qcDr0kbRZlP/uQFtcr9Hwvg34C2ACg9o8/axaVO6il/cFLh6q9DCd9PmRxU3KH20ORenekF1N+DRwBVaFxOvKnDxKuC9afN/aSx927se8IFUNEQ8qtCKEsrtQ4VDHgX8Evgc8MBUPEIa0/8fmjYn6l5VKOKs6eTfATee0F5fjJPsdZ1XA+prJalekYoUjBcUUAVGFTBQQQIVdnk/8F/AdVJxERV9aA4t+LsL8KESAKe0cbWkWV1XhR5eBLwsoxCCFiGfH7hyKiqiwgQqMNIc8gVhV38MdajYgzYqqZCFFtVID9MKbjQFF6R5/ekqzKHCC5dOwFUgpSlSU+JeLpZ4ViEZFe35MvBY4Mg0vmjyd7uk66Y4hwpziM/PdADQGKWCKjpK41ab6u83J7/6PfD09P/NmK5NY9L+lQD524OBjya+pWfd78Fpw4PuUxjVH/ITnacxaohDBX00Dp7YKr4hTeQeKtyhe5TudR8qFPWbFNfUN0Mdjp+jMdXxs1thUWOn7ixq/Iwag8R51DjkGFQ3BkkrUeNQ1DncOOeR5nFR41DUGCStRJ3HOX5Ofq4bch7n+On42T2bGFk4fuYyVc7O8XODyxo5UMfPydp1DnQyL46fjp+5o33U+Ol3iKMCp36HmKd0zz+35WnI+Ol5s+fNeZ45svL7z81sDb1+KGrcd965ftyP/P7Tcb9u3Pd721GxVK8dyov+fm9bd+2Q42f9+On3tqMPg9Vcf+v5p+efeREo7tzT657qr711/HT8zB1X/N62/ntbzz89/+zjn55/ev7ZRy+2NQNmIJMBF+DIJMpmZmCLMvAM4Emp0MPDgS+0ilg0m7abxQGiSAtuv5kKQqhwxzFpo6Be9OlhTouTtWlb534cuHX6uzZxlz4OAJ6bNvY/NG1+V5VCHdrAfzPgbYAKcXw/bR7X/U06dgfulwqNqPCC2nk88PzSoIE2549IRRD00kpFFvYFbg9cJPGmy6vwgrh+I6BFQyenTeraLF/7aDhXwQNh10YUbZRX/6oYgfRxeeATwLnSxn31hYpf6FzZyk5/dI93Bx6Z+Na/qdiI+rL08SDgpem64v9p6QLSaaOZpvCD/l8b6qQtFWlRAZcPA5cAbp50ctl0/m9TMQYVmBjiEMcquqHjccALxnCL21m+pftTkRwl/6Ur+fJ5Uz98C/hX4I9DAE/Fb9S37ePXqRjH/wEqciPetNhm0tH0TbsgkDSvl7tfBS4IHJK+/l7yFjQOqHCPCg+9OxXfUPGY8UPFLFScZY/0gwrR6EXLJFuZqB9em/pAxSG0wbr0oTH8JanRts71Tw2PGhflnxq7VYxG+NUXz0lj9vkSx9cA7gPsmfQinahAzs9KgwZukQrZaAwQN7oHFRBRUSTxpD8XBs7Zce3xYlCHpy+1qviLCqmoOEnJw/FzxKbjZ7eqosZO3VnU+KlxPGIMEudR45Bj0CjWNsfQMUjXiRqHos7hxjmPNI+LGoeixiBpJeo8zvFz2+e6oedxjp+On92ziZGF4+eoaGjNw/FzNDeplQN1/NzI3YkL50Bne7vjp+NnbjyIGj/9DtHvEHM17vhZP3563ux5cx//9PvPuuuHosZ9553rx/3I7z+dd95YH1Vj3uz3tqP1WV47lBf9/d627tohx8/68dPvbeuvv/X80/PPvAgUd+2t1z2Nerjm2lvHT8fP3HHFeef6eWfPPz3/7OOfnn86fvbRi23NgBnIZMAFODKJspkZ2KIMqEiGigp8Edgf+PlYwYxdgdenjfqiSEUg9PL6yFahjoY6FVx4KvDgVBTgBOAuwMcG4lbFGh6YNrzfDvhOwq4iD6ekDeUqWiAcDwHekjaSt4sWtDf3C+a9kp3+rk3+1xmggMgkztsU6V4em15itf9dm+VVgEH3rQIYOlQsQvdT61AhChVVUUETLcL+3gQMZwXemb7OKVwqYqJiJtMO6U4FOnSoMIMKG3QVluh7v+9PGv4JcO+kFelk2uL9swEfAG6YiixIF81xk9QPWoCuNt4B3HMAneh6wtBoe7/E+yzcXbzoyy/iWi9JdchfnzkQ9kbnxwM7tgrKjGOUf6qog7QkH1YxiIOAo6fcjPpEvKiPPgncsuume/6u/rwbcFQqKvSlpHEVd2gKPMjvpJ1rA29tFdP473RuW1fNGLNXKlhz3VQAQ31R+vifVGhFBSdUOEZFVhq9NDhUzEL3qOIWOj6bNgj+dAIY2cp3VFRHx/NSkaLxcXPR+9gp4ZUez5OKb8jnDgQ0nqgYyi6AioOoYIiKgqggzsXTv+2cAGjcaArqjGP6euqvRbG2z3f83FwAyPFzurqixk7dUdT4GTUGifOoccgxqG4MklaixqGoc7hpnLdH/1Wdx0WNQ1FjkDQRdR7n+Lnh0bXmcY6fjp+5c1THzxFTNfOgjp9QMwfq+LntaOAc6PQR0vHT8XPd46ffIW7uYb9DnK14zz838zN0/PS82fPm3BgkO7//HH2wpdb6Ic+bPW/u459Rc8+O+3Xjvt/bbvDttUPdI4zf225wVGPtkN/bet7c7ZUbFo6fjp+5enHe2XnnXK14/un5Z65Wos49/d62/ntbzz89/8wdV6bNhdp7e1Z1/6fjZ/342UdXtjUDW54BF+DY8hIwAWZgJgO/S5vxNcl7APD3ZN08hGmT+MuBiwAfTcU1DmVUBVJFLnTIVn+aQhDvSoU39JsKRqgIRukN203bKvahzf3aiH1wuk6zOf7zwA2Ar6WiC7+asVC7GSt1X+JCRSZ+CNw/FYUoKaNJnI9zqOupeMkTGVVPbh+/SH3yJuDEksAy2lKhBG18/zRwd+BvY+c0/fwV4FrAr4E7p6IK44vkm//XF2VVuOBGiXPpUIUDSh4qLKNN+1o8r8Ih47jb1zoTcHIqdKICL5P0o4IEwizdqa1/BVSoobTOVZRC1/pc0sMs3LP4UhEGHSoMcftUCEILXj4C3DUVqSnJt9o6BLhgavSYVEihzzX05fgfJ+2oMIv+rj96Ufca4MzAs4Cn9Gk0w1bjhIo86OXofQDhmHXcJhXhUKEI8ayvjrysdUKjCen7pcmfVfREi41KHw129et9p/in8KgYxVXTmK0CJvLntnblm/IDjS/ycxVt0f39V+K/tM4bHjSea8xrinCo2NN7x0hqsJ0FUIJA/y8u75gwq/iIsEt7je7VRFchoHn6wvFzxJrjZ7d6osZO3VnU+Bk1BonzqHHIMQhqxiBpJWoc0vww4hxuGucR5nFR41DUGCStRJ3HOX5uPNfVmsc5fjp+ds8mRhaOn1A7D+r4Ocr118qBOn6OihI7B5o3Kjp+On7mKSVu/PQ7xFEP+x1intI9/6wbPz1v9rw5zzM3W/n9J9RYP+R5s+fNffwzau7Zcb9u3Pd729EzudcO5Y0ufm9bd+2Q39t63pznmSMrx0/Hz1y9OO/svHOuVjz/9PwzVytR556On/Xf23r+6fln7rgybS6kf1/1/Z+On/XjZx9d2dYMbHkGXIBjy0vABJiBqQxoA/vxaRO2Nlg/bIKlimc8ORW5aDZqN4U2xs212Vkb/P8FeDOwO/A24D+AowbohzukIghqWkUFVFyhffwA2Bv4UNo0riIAs44G/yuBB6ViJLcAvlEQe5tzVXF7+IS2m0Vl+q+qyN8tFUlQ4YvmOAz4FPAW4NvAPwYo/jAObXtGCbYLJE6uPYMX4dstfflXRUyawi7TNPN2YN9U7EDFT75ZkHPh/m3a1P+JVFwlp3lt2JdPqAjBFVIbiql6uXhSKhTweECFAB6SihTktJtro+uoUMIV0wboS+eeOMNOXAh7U5zmJ6lAyk8LtN1uQtfRRgUV7jk9+ZPGjQulf7tw0pE0Iv7GD50z7fnl6FR8Q9eY5PeL3MoOgMYJ+Z42dvx7ZmNPAJ6ebFW8RV8I/Wr6/8af750KhpwP0NfRVSSj5CHsfwLOBrw+cT7efjOxbvzzy6l4zBFTgAi7+kd22nChMUec/L4k8LG2VMxG44Guq2JDz0uFPxRbph1vTQVqpImbp0I+eyWNqZiKigGpnQML4nb83Eym4+d0cUWNnbqjqPEzagwS51HjkGPQyF9qxSBpJXIcijiHG+c80jwuahyKGoOklajzOMfP+vM4x0/Hzz5TVMfPunlQx89RXq5WDtTxc/Jo4BzoZF4cPx0/1z1++h3i5Lyz3yFOVr7nn9vyMmT89LzZ8+Y+MWjc1u8/h18/5Hmz5825Pho19+y4Xzfu+73tZr69dmj2COP3thv81Fg75Pe2njfnxnznnevnnR0/HT/7+Kfjp+Nnrl783tbvbftoJeLeFcdPx89cjY/PhaLt/3T+tm7+to+ubGsGzMCMDawmxwyYATOgDdWq8Hsk8AzgZWnjuZjRZnltgNa/3Q84NhVUUKGHWUezwVsbtM8PfCVtNv/bAHSruMa30gZRbay+EbAdcErCrg3uN0zFIrQBu8HWBeWFafO6EjwqFFBys3nDuQpSPAfQtbpw6ffbpkImug/dY3PoSzuvAFQ0RIUVdDQb/rvus+/v6s+PpmIUKm6iwhCTrnXlVBREG+ZVxGD/jAtpAiCd6UWMijYcmnFOrkkbt4qVXD2DI+EQJhUPOQE4eyou01xT971L+kq9fnst8Khkm4ury06FFNS390g+en3gRxnYu9rV71qsqMIuxwGXAv6Yc1IPm/MC7wWuA/w5FcpQIRuNKTsD5wDOnYqiXDD5mfpdBTpUoOJcYzofv7R8XH6gAjW/6YGry1RFbr6fdPjG9HX2Lv9s2pRvqEiRDn2tUoVkdO/N+U8BHgPsBKgohIrClDwunvxO45bGbRVPmoRd/GsBojiUbicVXmpwNefrfq6U9Kdx9vCSwFttNde7RiquJN9VfFKBm/eluCRzFWhpH18EVBBIfil+5bM61J50smOKYdOKR81zO46fk1lz/NyWl6ixU3cSNX5GjUHiPGoccgyqG4OklchxKOIcrs15tHlc1DgUNQZJK1HncY6f9edxjp+On33moo6fI7Zq5UEdPzfUWSMH6vg5fTRwDnRbbhw/HT/XPX76HeLkHvY7xMm8eP45mZeh4qfnzZ4394lBbVu//xy92x16/ZDnzZ435/po1Nyz437duO/3tpv59tqh2SOM39tuy8+Qa4f83tbz5tyY77xz/byz46fjZx//dPx0/MzVi9/b+r1trlacv3X+NlcrUXO37blQxP2fzt/Wzd/O4w8+xwxsaQamfUF+S5PimzcDZuCfDNyb0Zcm/gQ8NxVxaFOjqpEqALBf2tidU7hA5+u8r6UN2z8FLjsQ39porgIPdwVOBJ6Zilroctp0/UTgqcDP0+ZsFQHpKk6hrwZo472KHqjoiF5iljzuBbwlbb7XBnltKp+FaXwDvXAdAFx6DJQWoD879WfJTebty+wKvAa4I/CHpItPJa6F8+S0+b0pNCAcKsJw9457VF+9PulRBSHOWpLwVOxBi/PuAvwOuCfwpYRbRULam/kbvs8DfBq4HPATQA/84/2kr+0dlIpHqACAir2UPlQc4aWp0c+mog5NoZWmanzfa0rjb0g8HJUKifRto8teCS99Gfw2qZjKw4EPTjlJ96HCHPI1aUyFOXYHVJhDRTlUBEeFOZQYUdGT5tACOo01JQ8VcXhXura0/uBUjEM6mXa0NaOCQBdIhR9UFOeRqdCFNN4UdBkCt7BdF3hP4unpgP60Ndv8/arAN4G/pHFfxTpmFRkRx59I+j4Y0CL3IY8Gp4oNvQQQXh2PBl6c/t6+L+lFhZ72TAVPpJ2ucb4EfsfPbVl0/JysrKixU3ejYkkR42fUGCTOo8Yhx6BR0a1aMUhaiRyHIs7hxHnUeVzUOBQ1BjVPAxHncY6fo3lRzXmc46fjZ5+5qePnZraGzoM6fo6KczdHjRyoruX46Rxozrjo+On4maOTxiZi/Iw69xTnjp+On7n+GXX+GRW3887bKrP2u08h8PvP4dcPRYz7zjtv659Drx2K/P7T8+a6a4ccP5cfP6PETr+3rb92yPGzfvz0e9vJOh9y/a3nn35vm5tjGbdz/Kyzf8XzT7+3zfFRx0/HzxydNDZeN7yZrdr5W8dPx89Z/hr53W2fcci2ZmDLM+ACHFteAibADExlQBsLHgQcnQpC/Cxtyv4toI3WKljx76nAxduA+2RubD4f8E7gesA3AG2kHuq4aSpioc37/0iFHF6e8O+TiijsmDZuawP3pEMPzTq0sHgv4AtpA52KKtygMHAVNNGm/u8BDwG+3rH5vbl8u9iCEqwqOnL/9KV02aiIxBGAMKvwwYGFcTcTC22IVzEFHcIuffw4/b+SBQ9IRVAaTj8K3HYKlmbTv4or/BdwncTLlQtib67xfOAxqd3PJP5U+W/a8R+tzf6vTX4yXvBCBSLenwoESDM3Loi7aUqFVj6WClHo31TYRgVOdL3xox3v20VFZKff9Ecav1gqhqHCOCrEcM0BcKughgpZqACHvhIurX6gVcxiVsGHBo4mzzsBZ09FOVSYRQkG9ePOwBDFfVSnVre8AAAgAElEQVRkSP2t6soqTPGITP9s/ONmgDQvraggjcZM8aAxUe3eqlXQpTTtKgCjMf2SyUc11rQ122C8XyrAIv1rDHp3x7gu7Br/bwSowMg1SgOf0Z7GBPluc03dk/pEOlaxB3Gs3z4E7AZ8HrhJRtGUErfg+Dli0fFztpqixs4mbiiWRIyfUWOQeI8ahxyD6sYgaSV6HIo2hxPnEedxUeNQ9Dmc9BJxHuf4WX8e5/jp+Nl3bur4CZdIpA2ZB3X83JxPEuU1cqCOn86B5o6Jjp+On7laaeyixc+Ic88mT6y8vd8hbijU8XO6t0adf0bF7bzztlpc5rtPofH7z+HWD0WL+847b/hnjbVD0d9/et5cd97s+Lla8XOVY6ff29ZfO+T4WTd++r3tZr5rrb/1/NPvbfvmQCfZO34Ou3/F80+/t53lp46fjp99x3GvG97M2DLzt46fjp/j/hv13W3fccj2ZmDLM+ACHFteAibADExl4LvAFcZ+PQk4DjgmFeDQpmY9xL44bXwf39jfPr2ZMF4pbTa/CvD29IXmIbqhud6zgcenCxwLfAn471Sk4Bnpa8UqJvLSVBjk0LRxexyTFkOpnf1T0QBtOtWfkoewNYVBdB19sTGnGME4Bm0+12b//VKRECVddaitN6ZCGCVxN22pmIoKDOyS/uEo4IfAz1PxEhXPEJZPpv8/F3CPdE5zn/qvCgOcktq4SypSoP/VZkJ97bD0sTegwhvnSQ2reMPrklb+BJwI6F50X08C9k1FH34BPAr4eKtIwSSdvwVQYYMhDvHxglRwQAsYVSDns4nTHwDCP80v25vjhU0FLR4LPBmQr78w3W9J3M1Ghfb4ouIkKhrS/Dbtel2+oGIuKtaiAhwqHHH3ksCBcyZNXAr4ROpTfdE+52iKXTwHeFw6QX2lReHi/c2pWIuKE8knSh8qGqKCMCqwoiI/r5lyAY1zSg4I71eA30wZg5q+kE+reIj+K+5VxbHmoaSSiipdNfmpCppIwyo4pOOe6XcVYfpP4ABAX8ZpxpehsDp+bmbW8XO20qLGTt1VtPgZOQaJ76hxyDGobgySViLHoYhzOHEeeR4XNQ5Fi0HjTwOR5nGOn7CMeZzjp+Nnn/mq42f9PKjj50bOup3rHzIHKp9w/ByNDM6BTh8hHT8dP9c9fkaee6pvHD8dP7t8NOr8Myrupj+cdx4xsSrvPoXF7z+7Rov+v3ve7HlzH9VEzj173lxn3uz3thsetSrxc1Vjp9/b1l875Pe2o+dar73tE/mdd27YGjrv7Pjp+NnHM73uaYOtGmtvHT8dP/v4Z2Pr+afnn1268Xtbv7ft0kj7d+dv6+dv+/SPbc3AlmfABTi2vARMgBmYysCbGFWg3BVQoYRzpE3+k054QyrAcfQMPpvFJ3dNBQPODzwobd4euhteBjx07CIqbvGrtIBBG/ZVpECFIT4MfC9t4N4hFV1QkZFHpMVhakYFFx6dCkuUxK5N4eJJG+XvDRxfoHFt5n9K2niv5rQ5XYUVhjq0yf0hgLibdlw3FQcRts8DDwdU9GL8uD6jjS7XAFToQIUDPjAQ8KenwggqXqLjcEAFNlSA4IRUMOQigHSr2Kk/zwReBLR13+j8bqlAi+xnFTwocTuqnHf/Mc6lnR8lLasAysHAYem+VJygjXlPYPfUD7dOBQq+kYqLfL0EwAltqGiPFltqjLkFo2qI8x7qs5OTttWP0p4Ko+hraqUP6eHCqdjDHqnASZ9r7JiKo6jwho63AZ9LxX30JexHpmJAfdrMsdUY/u2EXT4lnsTZvMcknWuMfdW8Dc5xXoPhosD7UhGQf6RCSs9Nmtd/leQT7yrmI7umGMocl8w+xfFz5IcqWuT4mSebqLFTdxcxfkaNQeI7YhxyDKobg6STdYlDUeZw4jz6PC5qHIoYg9pPBtHmcY6fowKKteZxjp+On3kziW2tHD/r5UEdP0HFgGvmQKV4x89Rft850MmjpOOn4+e6x8/oc0/1j+On42eOn0adf0bF7bzzSJWr8O6zjcPvP3NGi/lsPG/2vDlHOZFzz54315k3O36uTvxc5bVDfm9bf+2Q39tujnJee5sT9Uc2jp+On7PU4ryz8875o8lmS88/Pf/s0k7kuafjZ729K55/ev7ZNZY0v3vdcN29K+sw/8zVlu3MwJZnwAU4trwETIAZmMrAbulL29qYrw20F0jFB/R3/Zt+V2LprMCv01fQT5zBZ/PC43XAfRgtMLo28J1KfaCCFgekQgrNJVV0Q3+ERZuymzFRG9P/APwNODegCqLN8VdARUS+UBj3mVNhDHH6FeCVC7bf3mSuPron8DzglukLzQs2P/X07VJCWn28/ZiV+FRxjvcANwE+nX7/O/Be4JuJc/WJikKoyMl5k807Uv/9aSjgqRiC+lb3MH4Ik/ShBY76Xdi1of+oMcNG5yqssC+gggAqODK0ztW/KgjS1qqgCfexqaCM+D8yFV7QPUhzKsShIjsqcqJDvqB7uDvw7gG51teUzpPGmINSYZB5L9dw/tbkmyrIoRdI+hpcyUOcPRtQkRIVFngg8KE5LnDlVOhH46g09eM0poqTIXALorCr0IkWa8nfpM9FjobzNwL3SrrZJxX5WKTdvuc2OM6WCm9ofNPxLmD/tAH59un+L5mK6jQVMvteq4+946fjZx+9ND6ql7kRY6fwa0yJFD8jxqBGJxHjkGMQ1IxB0so6xaFVn8OJ73WYx3kON5oH1Z7DST+R5nGOn6OCrbXmcY6fjp995xRte8fPOnlQx0/Hzxw/jRg/nQPd6FnnQLtV7vmn3yF2q2SzheOn42eOZiLGT91XVNxRY/+6zpulJb//zBkpFrPxvNnz5hwFRXv/2b4n551H766HWjvk97aeN+eMIY2N58315s1+b+u1t318c5Kt46fj5zQNrev8c1Xnnl73VHftreOn46fj53wM1Nq74vmn5599FOr5p+efffRiWzNgBnow4AIcPciyqRkwA5wlbTzXw1lTmOPCwM6MKuCqcMWsQ0UhVNhC5/8wFSZQAYAah5JgV0xFE/TV0osl3OPXbgotjP+7NuQIuzabHzgQYG0iF8cqZKJCCSUPbQy7USocckLJhqe0tUfa8H9xYCfgGEAFEtTvOnZMhThUzEDHqakwwPGp4Iu0Is6b/rga8N2BcLc35KvwxINbBSnGL6liFm8AnpiKa0yCdP5UVOHswOeBf033PxD8fxZxEE8qjnMH4LbApdNCL71QnnTM0rkKS6iwgmwiHV8Grp6KLWiMOXwA8Gp3r1SY5y+pWM48l3ko8IJUpKYpBCTND4V7Hoxd56jAzqGpEJOKBqn4hfy89tHW/1OB/RKAbwPnSMV89E+KARpTlnU4fjp+5mgvUuzU/USPnzl9kmtTIwYJi+PQqEccg3KVuWEXNQ5FmMOJ5XWZx0WKQ+sQgzyPA8fP/uP5Imc4fvZnz/FzuByo4yc4B9rfJ9vz0K2cB60RPz333NCn42d/X3X8HC5+rsvcU6ry/BNqvUN0/ByNYzXiZ/8Rs/uMWrgd+1cr7zzut37/2e0rfS2cdx4Vlq61fihS3F+H95/OO9eL+46fqxU/o6wdEmueNw83b3be2Xnnvs+Fjb3jp+PnvNqZ9zznnfsz5/jp+JmjmkjzT6972tyjWt8fcf+K87c5nlnOxvGzP5eOn46f/VXjM8yAGdiGARfgsCjMgBmYxUB7jJi1GV8FOLRoeNbmZhUCeACgL7zL9lXAAUui/8qAinDov5cAzpsq3+uhXH92aOH6XSqG8Qnghenv7Unvkm5hZS/baEZ60cIFvbhX0YpJx6XSV4Yvm+wm2ahYyP2Bdw98x+0+PTdw+VSEQ9i0iV86+AbwA+A7M7CosMizgEckG2lexSxqHbqPywAqWHI9YG/gImlTYLugifqmOeSPfwV+CjwaOKgS2JJ+pIWnX0z9pvvRmLTqhzR951R8RsU3VHRHX8ca6tA15JclilBojGyKiMi/n5v+DIU9t11tvngGo2rs8kUVhVLs+QWjryc3FWdz21vEzvFzNG5K146f3UqKGjt1Z1Hj51aPQeq7mnHIMahuDGp8sxl91mUe5zlcdzyZ1yJqHIoagyb1U5R5nOOn4+e848y081ZpDuf46TlcX307fi43B9r4bIQ86FaPnzXnntKF55+ef/YdzyfZe/5ZgsXJbTh+On7mqitq/IyKO7dfcuxqxv6tEPfF+SrNndfx/afjfo5nz2cTNe5Hfv853lPOO8dYO+T3tvONMbPOWqXY6byz8859FR41fvq9bf31t55/+r1t3/Gly97xs4uhxX/3/HNxDqe14PjpvHOuuhw/HT9ztZJr5/iZy9T8do6f83PnM82AGSjEgAtwFCLSzZiBLcZAe6Kae+t68HkXsCdwCHA34Ou5JxeyG580aVHG7ulLSxdIhThUmOBo4Ji0Wf1P6as4pyQMJSdehW4ru5llYp+28V1fBHgscCtAfXAqcFz6748AfdHl22MbfLNvuKBhG/+sTfz6YtXNABXu0OZ/FZo5oiCOvk1JzyrAoWInFwMulAoTiOO/ASpwIr1/Lvll3/ZXyX7XVHxkF+AjAwJb1I8a/WjC/emEWXBV2OWqA+Iu2fTVgf9JC75+DdwC+GXJCyzQloqxvBy4eyq4of76JHDLVBSoGcsXuMRCpzp+LkTf0k5e1O/nBR49duq+o8bPvn1WKwYJ16J6jB6HHIP6qnOzfcQ4tNXncCX8fl7VRI9DkWPQVpnHOX7O6539z3P87M9Z+wzHz8X4W9bZiz43z4vb8XNe5hY/z/FzcQ7Hx75Zxfy6rhZ97qn7c/zs6uXZvzt+LsbfMs5eVuwczyG2793vEIdXguPn8BwvcgXPmxdhr9+5qxz3dSd+/9mvP3OsnXde/H1TDs+TbKLPm8efXbx+aF4lDHee4+dw3I63vMrxc9Vjp7j0vLmeVkteaVlz5+jx0+9tS6pwmLYcP4fhdVKrjp+Lce34uRh/yzrb8XM+5h0/5+Ot5lmOn/XYdvxcjGvHz8X4W9bZy4qfy7pfX9cMrCwDLsCxsl1jYGZg7Ri4DnDnVGThm8DzgdOWdJddDyLjv3fZL+k2wl+2nRg4ayoQceH0lbpvAYcu8Q6FTX+0yFg6bRYb52ph+7TZ//gl3IMwNjinLZI+UypysiwfHJqW3H4aGse09rWgUYUg9gEOSAVS3pkKziwLU5/rXjMV3VARERVSemOfkwe0bcYU+d+tgb1TgZP3A+9NY4uK/EQ7HD+j9diweFc5durOI8fPUj236jFI9xk5DjkGlVJqfjurEIdynm89h8vv00UsVzkOqcCm8OnQs3akOZww5+h8nedxjp+LeGb3uY6f3RyVtliF+NmMLbM20Dt+lu75ye2tcvyMPodz/Nx45qmj5n5XiTz31J06fvbr7xLWjp8lWFyfNhw/h+tLx8/Vjp/Tet7z5uF8YpXjfvPeRe/0/f6zvAZyxkPPm8vzPqnFVY77whs595yjc+ed6+h82lUiz509b66vHc+b63O+yldc5fjpvPMqK6cbm+ef3RwtYuH4uQh7853r+Dkfb+t6luPncD3r+efq5509/yyv/3XduyKmViF+5owrzt+W17VbNANmYIwBF+CwJMyAGajNgCqMa4HAsbUvPON6zSYdLUhvL0qf9aWCFYJvKGZgJgPNxKOZXLSLbjTaX5dCHJF8tumPcwAXBI4A/hhMyzulzY0nrhDutga0UOTswHHACSuEcV4ojp/zMufzzMBsBqbFjpzEXbvlZcSgRbAvMw4tgrvhfBkxqAu3ftemfx2rFoO6sI/PgyZ5zTLi0DTczWLXBne7wNYyfHESXyU4X8b4nYNbuBb5GvoQ9zUN97S5/hAYSre5VeZxq+Kzuf23zPiZi3GW3TLiZxfudZ7D6d6XET9nce4caJci/Xt0Bhw/V68Ho8dOMer4WV9Xjp/1OfcV15eB9sLDZm3Q+Jx+FeNnDu6+vVZ7/pmTY8nJr9TGLV4Xwb7M2L8I7mXmnXM4X9XccwnOlxH3nXfuO4Iubp+jlVXMO8/yz6i551WM+4srbNsWlhE/F7mPZcbPRXAvO3525UGbtXCr9t62BOfLiJ9dfDfjuNfeluhht7FqDDh+rlqPjPA4fpbvF7+3Lc+p42ddTn21egzk5G9XPX7m5Cqcvy2rqRKcL+O9bRfuVc3d5uSdvW64rMZLcV4elVs0A2ZgIQZcgGMh+nyyGTADZsAMFGSg70bXgpcO2dSsStOrXoU6KvaouNsvHCaJfZX1EpXzqLitlfrhYFGtLDN2Loq9Ptuzr6iCPUqEqkjcyasGrgNPVOzGXV9o5tyc5zKQq5VlxqFJ95KLO5cH25kBM2AGzIAZGIKBVYufQ9xj6Tajzj+Nu7QSutsz590clbYw56UZnd1eVL5L5J2XFT8jc96oqfmqXV21Ln61qLjH7zxyriIq9qi4pZ2o2I178TGvbwvrzvmy4v6sfojKeV9t2d4MmAEzYAbiMrCK8XPV2Yw654+Ku0R+aFmaisp5VNzWynKUHlUvi+JeVvxcFPdyVLL5qs7fLr8XouYqjLu+dsy5Oa/PgK9oBtaIARfgWKPO9K2YATNgBszAlmCgnXTZHVAC41xp0/BfgN+vMAtRsQ+Ne8gCGENjH0puxj0Us9PbNed1OY/K9/gLrkhxqM35ZYGLArcCLgIcBxwDnJoKcBwF/An4JfAb4LD077r/MwL6Wk5OdetSqhoa+1BxaGjcpfgdb6cUbn1N6ZQ108qqc76O/mnONzNQyj+XoZWh+tLtLo+BoeLn8u7IVzYDZsAMrB4DUefOxj1ZS0PGTnNe33/NeV3Oo/K9LrnESDnQtjIvBlwZuASgr8L9ETgQ+NEE+U76gpvmzjqUM615RMMdOVcxNPahYv/QuIfUeynstXPPpXDXzslFxT0ePyO90zLny3mPOOS45bbrMzBU/Kx/J76iGTADZmB1GYiaZ4mKu0Z+aKj4GZXzqLhraGWokcmcD8Xs9Hajch4Vd+S8s3MV03MVNeLnVsxr1c7dOpe4nHxc5LGlftT2Fc1AcAbk8D7MgBkwAzUZ0AIeHdq4GO2Iij0qbukjKvahcDcL4M4H3Am4e1o8dzzwZ+Bg4AvAe9OGYXHYZ4Nw81zQ55xcP46KPSruxn801kbTS1TOo+K2VmYn6fuOozljorVSn/Mm0XU54L4pfp4zFUdQIavx48RUlOOvwCHAD4BPAV9cwjNsVOzGXX++Y87NeU4Mko21Ul8ruX0zr91Q88958eSeFxW3cxW5PVzOzlopx2VuS+Y8l6lydlE5HxJ31LmzcU/2C+edt+UlqlacS6yf17JWzPk8Txz7Ak8ALplOPhk4OhUcfiXwvpQbbS8QVKFi/f+RyXYZ7/Kj4Y6aY3F+yLn+PuNKVJ1HxW3/tH/28c+hbYec8w+JPSpu552HVMXktq0Vc96Hgah6Me71yck5P+T8UO6YZa1YK7laca7fWumjlcbW+dt5WJvvnKi5LeOuvy7RnJvz+UYZn2UGzEA2Ay7AkU2VDc2AGViQAX3NovYXchaE/P9Pj4o9Km4RHxX7kLibydGlgOcAt00K1QK45mVJI9pfAA8GPt/aYFfKH+ZpJyr2qLjVR1GxG/c8HrbYOeZ8Mf76nh2V73UYV24PPA3YO3Waik1Nmg9P+3eddhDwLuDtwO/7dv4c9o1eomE3bmslV+5RtdIeE+2fdcbEyFrJ9Yd57Iacf86DJ/ecqLidq8jt4XJ21ko5LnNbMue5TJWzi8r50Lijzp2Nu5xv5LZkznOZKmdnzstxmdNSVL7XIZcY+V3cY4EnATunIv3jOdBjgDsCn0ki3Au4J3Bj4Krp334LfB34MPAJ4Ngcwc5p0+g8Ku5ouSHntUZCda4/z2Gj5uSi4rZ/2j/zPHN4q6Hn/EPdQVTczjsPpYjp7Vor5rwPA1H1YtyTezlqniUqbueH+ow2ZWytlTI89mnFnPdhq4xtVM6j4m6P5c7f1lkj5/xQ/fyQc4nmvE+EiqyXPvdpWzNgBloMuACH5WAGzMDQDDTJXC3kuSugRT2vAb4x9IULtB8Ve1Tc7ZeK0fRSk/OvANdq6fskYPsJeldhDi2Y00bhaUczAdgT2AfYDvgsoIV1QxxRsUfFrT6Mit24N4qo2D9nj0bWirWSE6+0YP5jwEWTsb7ieFQaI1W0SoWsLgDslv6cAzgncDZgh7EL6LxPAS8Fvplz8QVtomI37pHGrJVuB4iqFd1ZVOzGXd8/uz2hn0XN+Wc/ZLOto+J2rqKkCvLaslbyeCppZc5LspnXVlTOa+P2nL/unD8q386BjsYd5/rzxt+oOo+K2/5Z3z+vlPKg500u8adUPOPklMdo1gep+MbtUrHiFwLXSfbjxYn/ArwceBFwYp6bzWUVFXfUHIvzWiOZOn+b565RdR4Vt/3T/pnnmcNY1Z7zl7qLqLiddy6lgPx2rJV8rkpZmvNSTOa3E5Xz2rij5lmi4nZ+qH5+yFox5/mRw2vMa79fieqfzt86l5g7rkTNyUXF7Vyic4m5vmk7M2AGFmDABTgWIM+nmoE1ZECJTH2l5Y/A4cDfU8GMEzrutVnYN8msSY6+AtgvFQq4TVr8U5LCqNij4m5eBEbUS1TOtTn44WmR26nAP4CPAG8DDgG0Sf+WgPxrd0AFOPRFqvsAH5zibGpTdvcFngxcGLgR8L8lnTNtbI6I3ZxvFkINvUTlPCpu9XBU7Ma94Z81fDOyVlRc6g3AvRJl+nLj84CPpuIapwCKq+1DhTguBlwmFai6PnChMZtfA3cDvt3a5FI4fP6zMFZE7Ma9WQnWynTPiKoV3VFU7MZd3z+jzj+j4nauYrPGa+TkrBVz3ucZOKpejHujl2uMK5Hnn85VOFeROyZG1Yr90/nyXI1bK/W10uQqXg/cO13+88BDgJ8DKjisXOdzgGun9wIXZ/TFvqbo/9GACnCcfUJHPxV4Zh8B9LBVriIq7oi5W+e1nOvv4Z7Ogfq9ULZcouadI4+JzlXUz1WY87qcR+Xb7yjq58vNeX3OI/tn1JxcVNzOD9XPD1kr5jx7Eud1w5uoqrH+NrJ/On+72bO8FnT6SBM1PxQVd+S8ljlfznuKPs8JtjUDZqDFgAtwWA5mwAy0GbgC8F3gV8BhwG/Txn5t7ldRjj8DR6SvgRwHnNRBn8YY/dEG/08CNwaUgNWCnoMLUx8Ve1Tc6r6o2KPiVnGM9wNXBo4EHp8WpLVdaWdgX+ApwHmS/x0E3BX44QyfU/GNA4CzDOSfUbFHxa2ujorduLd1VPvn5MHLWrFWch8l9wK+BuwCfA/4l1Rorl1ATs+nOrTAXM+tk47rpXiqwlZnSga/SwvU9Zw8xBEVu3GPnr2slW6viKoV3VlU7MZd3z+jzj+j4nauYmPsrZWTs1bMeXfE37CIqhfjHvVhrXHFea3JXjVkfihqjsVaqa8Vc16fc/unOe/zrKVC/V9K7wd/ClwnvU9s50GV4/xY+mDGF1KuVNd4B6DCxb8EdgSuAtwRuCRwcsqH6iuH3+8DKNM2Ku6oORbntcC5/kzndA7UWsmXSth8eeQx0bmK+rkKc16X86h8+x1F/Xy5Oa/PeWT/jJpniYrbuUTntXpMKbzeeQJZQ74Xsn/aP/v4p/O39deaRc09G7e1kju2RNVK5Fxibt/YzgyYgQkMuACHZWEGzECbAX0R581TKNGG/z8Bh6bCHCrO8fv0b38F/gboyzjHT/iKuCqU/QC4FKCvjG8/AO1RsUfFrS6Mij0q7jsA/51855XAw9KXt+VTOsYX0H2o9ZWqD6T+OnaC78k/XwXslxbR7TCAf0bFHhW3ujAqduPe7ID2z+kDkrVireSGq7ulBeR6Vn0G8PK0YFwLx2cdqjrezJdPTYa7pkXpjwP2TgU7Xgc8KBdMT7uo2I0brJU8sUfViu4uKnbjru+fUeefUXE7VwHNc0szEg+dk7NWzHle1B9ZRdWLcW87/xw61+85f905f1S+nQPddgR2LtG5RL8X6vNkMtk28ph4F+Bd6V3984Fntt4jNu8QVYj/vcAt0+3/HXgx8KwxOnYCrpbyqddORYvfkz4CsDjLm1uIijtqjsV5rZH+nL/N8+SoOo+K2/5p/8zzTOdYvC6xj1Kcj6udL3cOtH6+3JzX5zxqvty5ROcS+0TQqPmhqLjtn/ZP++dq7wFx/ta5xFwfjZqTi4rbuUTnEnN903ZmwAwsyIALcCxIoE83A2vGgDb1awOhXlZpAU7XoY3/hwP66vch6Y8Kc6hIx2GpKIf+fnHgU8BuwEHAZboanuP3qNij4lYXRcUeFfcLgUcCvwIeAnwG0Obg01r+oriuf9MLxNsA7wS0SE42T0sL6M44ViTnPMAbgFsB+iLWZefwv65TomKPilv9ERW7cW9+MWr/nD66WCvWSlfsaX5/HvDYFOMUPw8cK1qV207bTl9/fC2wS4rL10jPvfO0NeucqNiNe6NXrZXZXhFVK7qrqNiNu75/Rp1/RsXtXEX9nJy1Ys77PANH1Ytx18/1e85fd84flW/nQMG5/vwoFFXnUXHbP5fjny8BHp7yoA8F/nfCe0T1zX8Cj0ru8w7gnunv42OK/vlGwEeBMwM/a73jPz3f/Toto+KOmmNxXmuzJJ2/Xc/8rf2zvs7NeX3Onauon6sw53U5j8q331HUz5eb8/qcR/bPqHmWqLidH6qfH7JWzHlnIq5lEFUvxl33HaIk4/xt/bVmUfMsxm2t5MahqFqJ/H4lt29sZwbMwAQGXIDDsjADZqDNgL6MpE37OvR3LZ65PLDHFJr0+6RxRAU8/pwKc/wcOGva3L8joK/jqEpc6SMq9qi4G41E1EtUzr8AXB/4EnBf4OAZG4j1pTsVyHl0KrqxPXAEcI9UDEe/q0iHfPgKwKsBbR7Wl7H2Le2cQFTsUXGrC6NiN26wf+YNQtaKtZKnFHhrWkR+JAr+XLAAACAASURBVKCvNWqh+HgBq9y2mi9Fyv5FwCNS4bkHAh/PbaSHXVTsxr25Kr21Ml30UbWiO4qK3bjr+2fU+WdU3M5VjIrq1szJWSvmvMfj7T/zzc4ljopZ18iZR+Xbea1RMfOa+aGoORZrpb5WzHl9zu2f5rzPs5bykzdPBYj1HlEfzWjnM5sCG28B7pXe4yuvqQIbzXvF5nrNefpgxxsBfeVQH9lQsY7v9AGVYRsVd9Qci/NaI1E615/hnM6BWit5MvmnlcfE+mNL1Dl/VNzOOzsH2mNIdA608jsK+6f9s49/Rs2zRMXtXKLzWvbPzQx4XX8fRUy3jTomRsWtnnD+1rnEXO+Nmh+KijtyTs6c188l5vqx7cyAGZjAgAtwWBZmwAy0GdBXbu7MqAKoFuh8Ov2o/98TuCJw5fTnMsC5etB3EqAiACoI8OIe5+WaRsUeFbf6JSr2qLi1sG0v4HPAHYBjMpxDvvum1tervgfcNm0WPhNwciqOo42h8vFHAi/NaLevSVTsUXGrf6JiN+7Rlwnsn92jjLVirXSrZGTxnFQoYwfgpimO5p47ya7xT31NUtW9VfBKBa7eu0ijU86Nit24Rx1qrXQ7RVStRB5bonIeFbfnzZPHAeeHJvMSNVcRFbf90/7Z/aSyYRFV51FxO69VP38bNcdirdTXijmvz7n905z3eWb5FnCVtCBaBTOOGzu5KcDR2B0I3A/4zZSC/82mgJcBDwUOAe4PfL4PqAzbqLgj5yqiYo+K27nEjYGgVs7cWjHnGeHn/5tE1UvUOX9U3M4l1s8lWivmvM9YHlUvxr1tLw/9DjFqniUqbucSndfqM5ZH1XlU3PZP+2cf/3T+dsRWrbyWc4nOa/Xxz6h5rai4I/tnH13Z1gyYgTEGXIDDkjADZqBhQJOC56UNitqU/1TgBenH06bQdDbg0qkwx1WBK6QCATtOsFebusYN05d3SjIfFXtU3M0kMqJeonK+M/DF5Gs/SP/N9aE90qZgFc/RoZc3+kJVczwo+fu5gRuk6+S2nWMXFXtU3OqTqNiN2/6ZM6ZY4x7Lc3XS2Knohr4erOfZ/wXuDfyhbyMt++bLeCpa9STgHMA+wNcWaHPaqVGxG/eoR62VbqeIqhXdWVTsxl3XP6POP6Pidq5iVLSzZk7OWjHn3dF+wyKqXoy77rjiOX/9OX/UfJy1Ul8r5rw+5/ZPc97nWeuswFeAvVMBjlvPOPno9B7p7cD+wD+m2J4h5VRVgEPvEk8FrgV8tw+wDtuouCPnhiJjj5rXMucbA0GtnLm1Ys77hKqIenGuon6uwpzX5Twq335HUT9fbs7rcx7ZP6PmWaLidi7Rea0+z+RRdR4Vt/3T/tnHP52/rZ9jcS6xPucRc0MNS1GxR8Ud2T/7jP22NQNmYIwBF+CwJMyAGWgY0FdsHgc8AzgB0GKaJ7Q2jmm80EKb5qW4NjGePoW+8wGXA7Th/0rAzVPxDX1ZZzfg8MK0R8UeFbe6Lyr2qLjlU28EbgZ8L/lWs/Atx5200E4L6c4OnAg8FnhFOlGFVB4O7DCQf0bFHhW3ujUqduO2f+aMZ9a4x/JcnTR2FwQ+mYrG6d/ekuLgEa2GFFP1XDvt2bZ9zSb+vhW4a3rGVRGrdnt9MU6zj4rduEc9aq10e0JUrejOomI37rr+GXX+GRW3cxUjfdfMyVkr5rw72m9YRNWLcdcdVzznrz/nj5qPs1bqa8Wc1+fc/mnO+zxrab6v94DXS8WIb9HKTbXbOS/wx/Su8EWpwHDXdfQ+8QFA857/b10n9Pg9Ku7IuaHI2KPmtcz5xqBQK2durZjzHqEoZK7fuYr6uQpzXpfzqHz7HUX9fLk5r895ZP+MmmeJitu5ROe1+jyTR9V5VNz2T/tnH/90/rZ+jsW5xPqcO5dozvuOi1H3JPS5T9uaATPQYsAFOCwHM2AGxEBTVOMpwNMSJc8FnpgW0+iLNtOOpihH08Yk218AFwf0RR19JbzkERV7VNyR9RKZc1XKfTWwL/Cd9N+f93Qk+bZ8XJuLDwXuAPwf8F/A3YGjgF16tpljHhV7VNzqk6jYjdv+mTOmWOMey3N1IrtmMed9UyGr5tw/pGJzHwH0nNo+mqJz+rd2wbl24avLpy9K7gT8ELhCH1CZtlGxG/eG7tTV1srseaR8zP45Gmtq6MX+Wdc/o84/o+J2rmI0l6iZk7NWzHnmY+0/zaLqxbjrjiuNppwfqpsfisq380POD/WJQ1F1HhW3/XM5/nl+4FXAbYB3APecUoDjosAb0txB7wdl2zzzTPKrsyR7FSJWAWIVIi55RMUdNccSOWduzkeeV/M9RVTOo+K2f9bXeFTOnauon6sw53U5j8q3c6D18+XmvD7nkf3TuYrl5Cqi5raMu+47Cvun/bNPrtH+Wd8/nb+tm4+Lmqswbue1+ozlzt8uRy99+si2ZsAMjDHgAhyWhBkwA+1k9MuBhyRKngc8YcrinBzWzgScDFwd+DiwK/AN4Fo5J/ewaRK70bBHxR1ZL1E5byYZTaGMY4A7Ap/J9M/mvs+Wim3cOvmXNh2rKMfzgZsAXwP26eF7OaZRsUfF3U5gRNNLVM6j4rZWoPaYaK3U57wdp/QVjicDjwP0jKrjROBg4JvAF1KBq18DJ80IcOrHewD7p2dcfe3xJcCzc4LinDZRsRu3tZIr+aha0f1FxW7cdfwz6vwzKm7nKjaPujVyctaKOc+N9fZPa6WPVqLOnY17VOTZeedutUfVinOJ9fNa1oo57x5RNlvsAOi9n973fQK4H/DnjkaUHzhlik3zvL8n8FbgmsCBwA37Auuwj4q7ua2oORbntUYL553rz3PoqDqPitv+af/s8syoObmouJ3Xcl6ryyfbv0fVeVTc9k/7Zx//jJpniYrbuUTnteyfGx/imcaF1/X3UcnINuqYGBV300PO327oz7nEPL+NmpOLitu5ROcS8zzTVmbADCzEgAtwLESfTzYDa8fA9sBlgasBPwW+tMAdnjF9PeduwOsBfSHn1a0CHws0PfHUqNij4lYnRMUeDXeTaHsp8LCk/qcCz+zhRI0/6ivs7wcuBhwPfBlQRdhrpy9jPbRHmzmmUbFHxd1+uRhNL1E5j4rbWhl9paXmmGit1Od8PE6pGJzi3L2BCwCKjePHYcDvABXi+EX6uxahnxe4AnCh9Kx89nTix4AHADpvyCMqduMGayXPM6JqRXcXFbtx1/PPaPPPxmuj4nauYtSDNXNy1oo5z4v2I6uoejHueuNK1LmzcdfNsTivtZwci3VeV+dR+bZ/Lsc/m+exO6dCGX9J7+YPn/CgpgXf0pfy47OOZk5xe+C1wLlTEWIVOS59RMXd8BA1x+K81mhdjPO3eR4dVedRcds/7Z85nulcRb1cRfScubVireSMKZFzt5Gx2z/r+WfUPEtU3M4P1c8PWSvmPDfe2z+tlT5aiZ53dv52eWueo+bkouJ2LtG5xHnGdp9jBsxADwZcgKMHWTY1A2agFwPNwpznAo9KXwe+b/pKTq+GlmAcFXtU3OriqNhr4j5HKo6jDcDHAW8ATurhH00V1Xumc/VFXB1qQy909DWst/Ror49pVOxRcatvomI37pFv2z+7RxhrxVrpVslkC32l8SHA7Xo0cFqqot4+RYXqHgN8u0c7i5pGxW7c1kqu9qNqRfcXFbtx1/fPXH+YZFdz/rkIzvFzo+J2rqKkCvLaslbyeCppZc5LspnXVlTOa+P2nL/unD8q386BgnP9eWOvtWKt5Csl7rsV3aPW/uiDGDsCk4pv9OGheaeo9xV6f6j29IW/T/dpJNM2Ku7x24uaY3Fea/RRGuf68xw2qs6j4rZ/2j/zPHNxq9pz/sURj1qIijsy9qicR8VtrZQaLfq1E1Uvxp3Xz1HzoFFxOydXPydnrZjzvNFwZBVVL8Zd9x1i5Lyz87egPH/7qJ0HjZqTi4rbuUTnEvs8B9jWDJiBHgy4AEcPsmxqBrYIAxoX9LDd9eWbLjqaiqpvAvTlGi34uQrw3a4TF/g9KvaouJtJdUS9ROZ8ARf556l64fJi4KHJz+XrKsBxJeD7izY+8PlRsUfFHVkvUTmPittaGXjwm9C8tdKf82bue3o69SLArYAbAHsB50tfu+uaI/8W+AzwNOCw/jDmOiMqduO2VnIFH1UrzXxI/402tkTlPDJuz5vB+aHuUTFqriIqbue1Rps0FcPsn/bPLgaWoZUuTDm/R507G3dO75a1Medl+cxpzZznsFTOJirfzjuX08A8LSln+ingwsBHgP0r5kPnwducUxt31FyF81rgXH++p0XVeVTc9k/7Z653Rs3JRcXtXGL9XKK1Ys5zx0P7p7XSRyslbKPmWaLidn6ohGr7tWGt9OOrhLU5L8Fivzaich4Vd7t3nL/N12rU3JZxe91wrsqjaiVy/ja3b2xnBsxAi4GuzUUmywyYATOwKAM3BS4LaJPjo4CTF22w4vlRsUfFra6Nir0m7mbB+yKucH7gvcC1Wo2oSM4/Fmk049yo2KPibiZ3zYbQjC6aaLIMvUTlPCpua6X+mGit1Oe8GeDa3OvvKrxxIWAP4GLArsC5Wv/dHTgE+A7wk1Ss6lvzDqgLnhcVu3Ev2PFznG7O5yBtwVPM+YIE9jw9Kt89b3Oqec35ZynMkef7kbFbKyUVnNeWOc/jqaSVOS/JZndbtfmOOnc2buedu71pZBFVK5GxR+U8Km5rZXk50NxxaJrdmVMR4n2Swf2At7YKkC7a/lDnLxN35FxFVOxRcY+PjZHeU0TlPCpua2WoaDG73ch6WZSx2nP+RfE250fF7bxzKQXkt2Ot5HNVytKcl2Iyv52onNfGHTXPEhW380P180PWijnPjxxx31NE1XlU3H00NcvW+dv5mIyaqzDu+fp7kbPM+SLszXduVM7nu1ufZQa2KANydB9mwAyYgRoMbA+cVONCA1wjKvaouNWFUbFHwn094C1p0/FRwDkH8J2hmoyKPSpu9WNU7MY9lBdOb9ec1+U8Kt+rPK7sBOiP5sp/BU4DdgDOAJyQuld/17+v2hEVu3HXV5I5N+e5DFgruUwtxy7S/LPNUFTczlXU17m1Ys77MBBVL8bdp5fnt406dzbu+ft83jPN+bzMzX+eOZ+fu3nOjMr3KucSu/ohKucXAF4N7JluUB/bOLXrZlfg91XGHTXHom6Nij0qbnNefzCxVsx5HwYi6yX3Pp2ryGWqnJ05L8dlTktR+fY7ipzeLW8TVS/GXV4Lk1qMOuePitv5oTq6bl/FWjHnfRiIqhfj7tPLi9s6f7s4h5NaiJqrMO5h9DCrVXNuzusz4CuagTVgwAU41qATfQtmYMkMaBzRn2mbEEtUahzqFqNij4pb/RgV+7ri3h24eHKwLw/laHO228X5qmKPijvHP835nGKecpq1UpbPnNaich4Vd6RxZdrzajNfPj0JbBULb0TFbtw5o1ZZG3Nels+c1sx5DkvlbKLyPYmBrti/qnmWqLhznlnMeTlfjcx3ZOz2z7IazmktKudRcef4p/NaOcrNt+nSyqryba3k93FJy6h6Me6SKshry5zn8VTSqovz7YAdgWNKXrRAW1FwR85VRMUeFXfzjNK8i2i7yaq/p4jKeVTc1kqBIDJHE5H1Mj6e6F6ire/rivurmrvNmX+uKvaonEfFba3MMTAXOCWqXoy7QOf3bKKL81XNg0bFnTMmmvOeIu4wt1bK8pnTmjnPYamsTVTOo+LOGctXJe8ceb4fFbtxlx3fcloz5zkslbWJynlZFtyaGVgjBpoXdWt0S74VM2AGzIAZMANmwAyYATNgBsyAGTADZsAMmAEzYAbMgBkwA2bADJgBM2AGzIAZMANmwAyYATNgBsyAGTADZsAMmAEzYAbMgBkwA2bADJgBM2AGzIAZMANmwAyYATNgBsyAGTADZsAMmAEzkM+AC3Dkc2VLM2AGtmXgKoCqyR4BfBM4NRBJUbFHxS1pRMVu3PUd25yb81wGrJVcpsrZmfNyXOa0FJVvx/2c3i1vE1Uvxl1eC10tmvMuhsr/bs7Lczqrxah8O37W1Ulztah6Me76ejHn5jyXAWsll6lydua8HJc5LUXl289aOb1b3iaqXoy7vBa6WjTnXQyV/92cl+fUuYq6nHZdLarG/czS1bPlf7dWynPa1aI572Ko/O9ROY+K22N5eQ13tWitdDFU/ndzXp7Trhajch4Vt8fyLkUO83tUvRj3MHpYxzxLVK14TLTG+zAQVedRcds/+6izjK21UobHPq2Y8z5s2dYMmIHiDLgAR3FK3aAZ2FIMvAC4C3A8sDdwcqC7j4o9Km5JIyp2467v2ObcnOcyYK3kMlXOzpyX4zKnpah8O+7n9G55m6h6Me7yWuhq0Zx3MVT+d3NentNZLUbl2/Gzrk6aq0XVi3HX14s5N+e5DFgruUyVszPn5bjMaSkq337Wyund8jZR9WLc5bXQ1aI572Ko/O/mvDynzlXU5bTralE17meWrp4t/7u1Up7TrhbNeRdD5X+PynlU3B7Ly2u4q0VrpYuh8r+b8/KcdrUYlfOouD2WdylymN+j6sW4h9HDOuZZomrFY6I13oeBqDqPitv+2UedZWytlTI89mnFnPdhy7ZmwAwUZ8AFOIpT6gbNwJZhYBfgjcDtgcOA8wEaU04PwEBU7FFxSxJRsRt3fYc25+Y8lwFrJZepcnbmvByXOS1F5dtxP6d3y9tE1Ytxl9dCV4vmvIuh8r+b8/KczmoxKt+On3V10lwtql6Mu75ezLk5z2XAWsllqpydOS/HZU5LUfn2s1ZO75a3iaoX4y6vha4WzXkXQ+V/N+flOXWuoi6nXVeLqnE/s3T1bPnfrZXynHa1aM67GCr/e1TOo+L2WF5ew10tWitdDJX/3ZyX57SrxaicR8XtsbxLkcP8HlUvxj2MHtYxzxJVKx4TrfE+DETVeVTc9s8+6ixja62U4bFPK+a8D1u2NQNmYBAGXIBjEFrdqBlYawaaIht7Aa8Frgd8DLgNsB1wygrffVTsUXFLClGxG3d9Rzbn5jyXAWsll6lydua8HJc5LUXl23E/p3fL20TVi3GX10JXi+a8i6Hyv5vz8pzOajEq346fdXXSXC2qXoy7vl7MuTnPZcBayWWqnJ05L8dlTktR+fazVk7vlreJqhfjLq+FrhbNeRdD5X835+U5da6iLqddV4uqcT+zdPVs+d+tlfKcdrVozrsYKv97VM6j4vZYXl7DXS1aK10Mlf/dnJfntKvFqJxHxe2xvEuRw/weVS/GPYwe1jHPElUrHhOt8T4MRNV5VNz2zz7qLGNrrZThsU8r5rwPW7Y1A2ZgUAY0IPkwA2bADPRh4AzAacCNgJcClwGenv6segGOqNij4pauomI37j6jQhlbc16Gxz6tmPM+bC1uG5Vvj+WL933fFqyVvowtbm/OF+ewbwtROY+K22N5X4WWsY+qF+Mu0/99WjHnfdgqY2vOy/CY20pUvh0/c3u4rF1UvRh3WR3ktGbOc1gqZxOVb4/l5TTQp6WoejHuPr1cxtacl+GxTyvmvA9bi9tG5dvxc/G+n6eFqHox7nl6e7FzzPli/M1ztjmfh7X5z4nKt+Pn/H0+75nWyrzMzX+eOZ+fu3nPjMp5VNwey+dV6mLnRdWLcS/W7/Ocbc7nYW2xc8z5Yvz1PTsq346ffXu6jH1UvRh3mf7v04o578NWGduonJe5e7diBtaQARfgWMNO9S2ZgYEZaCqJ3Rt4FnA+4LbAR4EzAqcOfP1Fmo+KPSpu9VVU7Ma9iKfNd645n4+3Rc4y54uw1//cqHx7LO/f14ueYa0symD/8815f84WPSMq51FxeyxfVLHznR9VL8Y9X38vcpY5X4S9+c415/PxNu9ZUfl2/Jy3xxc7L6pejHuxfp/nbHM+D2vznxOVb4/l8/f5ImdG1YtxL9Lr851rzufjbZGzzPki7PU/Nyrfjp/9+7rEGVH1Ytwler9fG+a8H18lrM15CRbz24jKt+Nnfh+XsrRWSjGZ3445z+eqlGVUzqPi9lheSrn92omqF+Pu188lrM15CRb7tWHO+/G1qHVUvh0/F+35+c6Pqhfjnq+/FznLnC/C3nznRuV8vrv1WWZgCzAgp/ZhBsyAGZiHgacAjwF2Ai4KHNIqtjBPezXPiYo9Km71bVTsxl3TM0fXMufmPJcBayWXqXJ25rwclzktReXbY3lO75a3iaoX4y6vha4WzXkXQ+V/N+flOZ3VYlS+HT/r6qS5WlS9GHd9vZhzc57LgLWSy1Q5O3NejsuclqLy7WetnN4tbxNVL8ZdXgtdLZrzLobK/27Oy3PqXEVdTruuFlXjfmbp6tnyv1sr5TntatGcdzFU/veonEfF7bG8vIa7WrRWuhgq/7s5L89pV4tROY+K22N5lyKH+T2qXox7GD2sY54lqlY8JlrjfRiIqvOouO2ffdRZxtZaKcNjn1bMeR+2bGsGzMAgDLgAxyC0ulEzsPYMbAe8EtgPOAnYMdAdR8UeFbekERW7cdd3bHNuznMZsFZymSpnZ87LcZnTUlS+Hfdzere8TVS9GHd5LXS1aM67GCr/uzkvz+msFqPy7fhZVyfN1aLqxbjr68Wcm/NcBqyVXKbK2ZnzclzmtBSVbz9r5fRueZuoejHu8lroatGcdzFU/ndzXp5T5yrqctp1taga9zNLV8+W/91aKc9pV4vmvIuh8r9H5Twqbo/l5TXc1aK10sVQ+d/NeXlOu1qMynlU3B7LuxQ5zO9R9WLcw+hhHfMsUbXiMdEa78NAVJ1HxW3/7KPOMrbWShke+7RizvuwZVszYAYGY8AFOAaj1g2bgbVm4LzA24EbA78F9gDOAJwW4K6jYo+KW5KIit246zu0OTfnuQxYK7lMlbMz5+W4zGkpKt+O+zm9W94mql6Mu7wWulo0510Mlf/dnJfndFaLUfl2/Kyrk+ZqUfVi3PX1Ys7NeS4D1kouU+XszHk5LnNaisq3n7Vyere8TVS9GHd5LXS1aM67GCr/uzkvz6lzFXU57bpaVI37maWrZ8v/bq2U57SrRXPexVD536NyHhW3x/LyGu5q0VrpYqj87+a8PKddLUblPCpuj+Vdihzm96h6Me5h9LCOeZaoWvGYaI33YSCqzqPitn/2UWcZW2ulDI99WjHnfdiyrRkwA4Mx4AIcg1Hrhs3AWjOwK/BvwO2ArwHPAlRd7JQAdx0Ve1TckkRU7MZd36HNuTnPZcBayWWqnJ05L8dlTktR+Xbcz+nd8jZR9WLc5bXQ1aI572Ko/O/mvDyns1qMyrfjZ12dNFeLqhfjrq8Xc27OcxmwVnKZKmdnzstxmdNSVL79rJXTu+VtourFuMtroatFc97FUPnfzXl5Tp2rqMtp19WiatzPLF09W/53a6U8p10tmvMuhsr/HpXzqLg9lpfXcFeL1koXQ+V/N+flOe1qMSrnUXF7LO9S5DC/R9WLcQ+jh3XMs0TVisdEa7wPA1F1HhW3/bOPOsvYWitleOzTijnvw5ZtzYAZGIwBF+AYjFo3bAbWnoEzA7sAJwB/D3a3UbFHxS15RMVu3PWd25yb81wGrJVcpsrZmfNyXOa0FJXvVYv7mvPqz+npzyzuV43zqNiNO8fDy9qY87J85rRmznNYKmcTlW8xEBV7VNzmvJzf5bZkreQyVc7OnJfjMrelqJxHxe2xPFeZ5eyslXJc5rZkznOZKmcXlfOouD2Wl9Nun5ai6iUq7j59o7yzFopqXcWRfU5cAduo2KPibt6vRNRLVM6j4rZWljNARtWLcdfXizmvy3lUvj2W19VJc7WoejHu+nox5+Y8lwFrJZepcnbmvByXuS2Z81ymythF5Tv68633xZXRb24rq7ZWe91xN/4ZUedRtRKZ81x/sJ0Z2DIMuADHlulq36gZyGLgDMBpWZarZxQVe1TcUkBU7MZd33/NuTnPZcBayWWqnJ05L8dlTktR+Y4c93P6xTZmwAyYATNgBsyAGTADZsAMmAEzYAbMgBkwA2bADJgBM2AGpjHQFHmOyFBU7FFxSyNRsRt3fQ835+Y8lwFrJZepcnbmvByXOS1F5dtxP6d3y9tE1Ytxl9dCV4vmvIuh8r+b8/KczmoxKt+On3V10lwtql6Mu75eonJenylf0QyYATNgBsyAGdgSDLgAx5boZt+kGejFwG7p6+BHAye2vtYaoTBHVOxRcUtYUbEbd69hoYixOS9CY69GzHkvuhY2jsq3x/KFu753A9ZKb8rmPmFnYJ/0PHsocDBw3IzFr9sBp6Zn4bkvWujEqNiNu5AAejRjznuQVcjUnBciMrOZqHzr9qJij4rbnGc6VUEza6UgmZlNmfNMogqaReU8Km6P5QXFm9mUtZJJVEEzc16QzMymonIeFbfH8kxhFjaLqpeouLXOqllrdfqK5JNzJRUVe1Tc6peo2I0716vK2ZnzclzmtmTOc5kqYxeVb4/lZfq/TyvWSh+2ytia8zI89mklKudRcXss76POcrZR9WLc5TSQ25I5z2WqnJ05L8dlTktR+Y4cP3P6pW2jdcPqJ+2X0/rhSEdU7MZdX2Xm3JzXZ8BXNANrwoALcKxJR/o2zMAcDLSrE14QeDCwdyq6oY2JvwG+AByY2u5bzbCvfZ9biIo9Ku5mAq0FRDoi6SUq51FxWyvTRzKPidtyE1XnUXHbP+v7p7VSn/PmiucDHgbsC5wMbA8cC3wReDHwM+AMKWE+jlL9pt+aRPqQ4/ckhqJiN+76XzU05+Y8dw5trVgr664V3Z91XlfnUfm2VkajgZ9v80bFqDqPitv+Wd8/rRVznjcajqyi6sW4HfdzdR5VK/bPemP5uYHzAr8DjpohrGYx/XhRjh2BJwB/B34AfC5XnAXsomKPiltdFhW7cds/c4ecqFqxf9aPQ9aKOfe4ssHAqj0n2j/tn/ZP+2euBvrYRR1bjNtzoVydR9WKJOPHcQAAIABJREFU50KO+7kaj6wV7YG7NfBl4PvAMR053GZP1BlXoOBGVOzG3cezytia8zI89mklKud97tG2ZsAMZDDgAhwZJNnEDKw5A/sBT00L6MZv9STg88BTgO+sIA9RsUfFLQlExW7c9R3YnJvzXAaslVymytmZ83Jc5rQUle9ocb/ZSHhZ4EXATaZ0zm+BewNfav1+KWB/QP/9M3BwSsarYIcKeAx9RMVu3NZKrm9E1YruLyp247Z/2j83GFi12G//tH/aP+2fuRrItYs6rvhZq/7801ox57njiv3TWrFWVvd5xf5Z3z/F+SNSwWcVz1D+WIU4NNfUn0PTv/1jhuNcHvg6cGbg18CeMwpE9/G/HNuo2KPijqyXqJxHxW2teEzMGcMbm6g6j4rb/lnfP60Vc+4xcTTPWMU5hf3T/mn/tH/20UCubdSxJSpuP996LM/1zchaeQHwaOAQ4P5p/9usD5MoP3s54AbAhdMHrPVRv28A3wP+kEib9pG/Ppx22UbFbtzWSpe2m9+jakX4I2PP7R/bmQEzkMGAC3BkkGQTM7CGDDQTigPSZOOc6QvgmiRMOr4GyParGVycDdgjJYS16GRWYjijuW1MomKPilsdEBW7cW/rYfbPyaNOVK3YPyf355A6t1bMee6zi7VSXyu64pmADwE3bz3bqoDGEcAuwHaAqla/B7gvoErWjwSeCOgrhOPz498DjwfeldvxC9hFxW7co063VrrFH1UrkceWqJxHxW2tbIwDHhPXd0y0f9bXuTk3590jysjCWrFWrJXVnfPbP+2f9k/7Z64G+thFHVui4v50KvisfLL+HA8cy+jrmco9H5YWZTdFOVSgQ4u0jwT0wRMVi34HoC+lvg54ILBDq/hz024fDeTaRsUeFbf6JSp247Z/rvu4Yv+sH4eijivWirWSOx5aK/W1Ys7rc+6x3Jx7TFzdOb/90/5p/7R/9tFArm3UsUVrhm8DHAg8CFAxjXYBjubv2l+gj/c9LO13Ey/KzbbXDR8EvDb90dpjrTc+NZfAOeyiYjdusFbyBB9VK7q7yNjzesdWZsAMZDHgAhxZNNnIDKwlA1cEPpc2I+oG/wh8OC0C2Qu4BnCO1qTi/4D7AT8am5A05DQV/vZJGxX19fEnAO8cgL2o2KPiVhdGxW7cIwe0f3YPRFG1Yv/c6NtaOrdWzHn3iDKysFbqa2V/4LnA2dMz7ZOAnwJKnF8LuHvr2feSwO0B2ew0pVOVOD8xfeHwDbkdP6ddVOzGPepwa6Vb+FG1ojuLit247Z/dnjmyiKqVyNijch4Vt7WyMRr4maV7ZIyq86i47Z/1/dNaMefdI+GGRVS9GLfnQrk6j6oVx8/6Y/lv0pcQ9TytBdeTDi3GPg44JhXeODwV5vh5elegotEquqEvMb44V6QF7KJij4pbXRYVu3HbP3OHnKhasX/Wj0PWijn3uDJiYBWfE+2f9k/7p/0zVwN97KKOLcbtuVCuzqNqxXMhx/1cjUfWigojXwj4H+ABKT87ft/6eJ/WAN8r/TBeeGPc/rPA/dOH2drFPPrwmWMbFbtxb/SutTJb6VG1oruKjD1n/LGNGTADmQy4AEcmUTYzA2vGgBaGvA24ayqm8Rng4YAWgDTHzsAB6Yvgzb99Fbgt8LcJRTiaicV9gOelL7jcAfhgYe6iYo+KW90XFbtxbzif/XP2QBRVK/bPUeXZ5qihc2vFnOc+1lgr9bWiBLkqWKvQxmnAnYAPjHXYLVKSXQudnwXsB5wHOAH4eCrWof+/AnBpQM/DGlv+mr5S+MNcAfS0i4rduK2VXKlH1YruLyp247Z/2j9HDKxi7Ld/2j/tn/bPXA3k2kUdV/ysNZqP1px/WivmPHdcsX9aK9bK6j6v2D/r+6dyycof69A7KX20ZFfgnMD2wJnSu3QViZ906FzlmNWO/vs14PvAn1OhBm3e0N8PTnntPv7XZRsVe1Tc6o+o2I3b/tk1njS/R9WK/bN+HLJWzLnHldV9TrR/2j/tn/ZPzz83vCDqmBgVt5/L68cgc16fc/vn8jjXmuFXAw+b8rCj/W0qjqxDuVzth/td+ji18r4XBvRRP72/bYpz6EPUKujR5Idzn6Ny7Rq9RMNu3NbKumu8HT+j+Wdu39jODJiBHgy4AEcPsmxqBtaIgT2Br6QiGT9OGxWPTYs+tGFUkwZ9wWVH4C7AK4CzpPt/U9qsOK2Sn74irsmJvjR+8bRYpCR1UbFHxa2+i4rduLf1PPvn5NEoqlbsn5s3+De9O6TOrRVznvtMY63U14qS33quVXJcxeVulp5t9cyqP3q21WLojwE3TklxPeuqqIaKxv0FOD4tct4tFfBQ0v3MqU19lfCxAyyClqaiYjdusFbyRsWoWrF/jgoa1dS5tWLO80aVkVVUvRh33XHFWqk/rpjz+pxHHVesFWvFcd+5iiHyLFHHxKi4PZbXH8vNeX3OVaT5VcAdU674y8DjUq75asDFgIsCu6fCHDulIgzKRav4VftoFm4r36JctNZnHJHWZtwkFeLoEx+7bKNij4pb/REVu3FvbKywf84eWaJqxf456teacchaMeddzynN79aKtZKrFY/l1oq14vmnnmVKz52jxqGouD2W1x/LzXl9zu2f9TnfG/gB8HfgucB/TvjQtPa0/aI1L9Ya4iek9cbqM60RVuGNfVIBj0u1bPXhn0/1eRDpYRsVu3FbK7kyj6oV3V9k7Ln9YzszYAYyGXABjkyibGYG1owBFdV419hEQ4tATp5yn5pg6I+KcPwjFdhQhUAV69BmxubQ/+vf9TXxZpNjaeqiYo+KW/0XFbtx2z9zx5+oWrF/1o9D1oo597iyLQOr8px4N+AdaZHyM4DXTHlWfQzwnHQbvwRuCfxqSsf+C/DJVHTjcOCCM56Xc7UxyS4qduPe6E1rZbYHRNWK7ioqduO2f+bGpahasX9u7uEacchaMee544r901qxVkYM6F3Jqs0/PZbbP+2f9s9p74H7aGPcNurYEhW3n7Xqj+W6ohZh64Ml9wJOAj4KPBz4YwvOudJXErWYe6/0gQvlk88PXCQ9G2izkDb36zlh/FBh6SGOqNij4o6sl6icR8VtrYyKQXhMzBv5o+o8Km77Z33/tFbMed5oOLKKqhfjdtzP1XlUrdg/PZbnatxaqa8Vc16fc4/ldTm/B/A24BDg8cB70gf3lHPQoYLJjwSeDpwIfCJ9sG/auKWPUKvgxjWSweeAm/YZ5HrYRsVu3KNOtla6xR5VK7qzyNi7e8YWZsAM9GLABTh60WVjM7A2DLwIeESq2vcQ4EtjE43xG9UiEH3Z5QHph98Cdwa+PXaeKv+9Hrg1cBBwmQEYi4o9Km51YVTsxg1arNUkEOyf0wekqFqxf9aPQ9aKOc99tLFW6mvlBalI3I8APd/qS4Sa72oBn47m7/q66vNSUbkXA0+aUKijsd0FeAtwm1TYQ5tbf5grgh52UbEb94aurJXZgo+qFd1VVOzGbf/MDUNRtWL/3Px8UyMOWSvmPHdcsX9aK9bK6s4/PZbbP+2f9k/ntTa8wGOix8TcMbH9rlX55P9IJ2oRtnLL3+1oSLll5Zg1b/sd8LVUnGPXtHnw3GnNxuVyAfWwi4o9Km51TVTsxm3/zB1aomrF/lk/Dlkr5tzjyuo+J9o/7Z/2T/un558bXhB1TIyK28/l9WOQOa/Puf2zPucvAx4KfD+tG1b+tdknq7XDlwZeAtwE+EYqrKw9cOMfotY526UP9F0F+DxwVuBQ4FLAcbkPUT3somI3bmslV+ZRtaL7i4w9t39sZwbMQCYDLsCRSZTNzMCaMfAx4BapgMa+gL7+3d6g2L7dZiKor7a8G7hRa1HJXYGjWgsJLp++Nq6Kf6oeqK8HlT6iYo+KW/0XFbtx2z9zx5+oWrF/Qu04ZK2Yc48rmxlYpedEPXveCfg6cE/g12PPt0qOnwK8DtgvFYtT4v0LUwrRNfem6tcvTF8z1NeL9Txc+oiK3bhHSrBWuj0iqlZ0Z1GxG7f9s9szRxZRtRIZe1TOo+K2VjZGAz+zdI+MUXUeFbf9s75/WivmvHsk3LCIqhfj9lwoV+dRteL4WX8sb+f/9PemwLP+ro+cKMesotDKPzcfRdBvWsB9cvqoyWuBswPPBp6c/n5eYA/giqn485tyxdvTrr3oPxL2qLgj6yUq51FxWyseE/sM51F1HhW3/bO+f1or5txj4urOKeyf9k/7p/2zjwZybaOOLVFx+/nWY3mub0bVinK0+wCfSx+b1oemtS9Of5SvvVVa/3sJ4KnAMzMIORPwhrQO+WDgQcBnMs7raxIVu3Fv9LS1Mlv1UbXSvP+JOrb0HYtsbwbMQAcDLsBhiZiBrcnAgcB1gZ8B10xFNGYx0VT4uxLwYeD8aUKiRSKaiDS/tycoj0rVAkszHBV7VNzqv6jYjdv+mTv+RNWK/XOUGK0Zh6wVc+5xZVsGVuU5UQn0G6YvCKrQ3NFjUBucqmJ9tZQQf0D66uCkQnSNvYpuPB84AbgX8P5cEfSwi4rduEedbK10iz2qVnRnUbEbt/2z2zNHFlG1Ehl7VM6j4rZWNkYDP7N0j4xRdR4Vt/2zvn9aK+a8eyTcsIiqF+P2XChX51G14vhZfywf19SZ08Jr5YxVVEMLuv+N0ReU219WbJ6/n5O+qrgjcPeBCjzn6j4q9qi41S9RsRt3rleVszPn5bjMbcmc5zJVxi4q3x7Ly/R/n1aslT5slbE152V47NNKVM6j4vZY3ked5Wyj6sW4y2kgtyVznstUOTtzXo7LnJai8h0pfh4B7AK8A9gfOH6sAIc+1qe9BvoY9XWAr874cLXuu53XfRzwN+De6YPGOX3exyYqduMe9bK10q32qFrRnUXG3t0ztjADZqAXAy7A0YsuG5uBtWBAizveCdwOOBI4Z+ZdNZU79wXens45DrhDq6LfA9NG6N3SBkhtVC55RMUeFbf6Lip24wb7Z97oE1Ur9s9R/9bUubVizvNGlbixM/q48kHgpsD3ARWNm3YcC5wlJdxVgOMfUwybohxPBA4AdgauDXw9VwiZdhpbImI37o0OtlZmiz2qVpox0f456t8aOrdWNvuSOV/PsSWqzqPi9lhef1wx5/U5t3+a88yp5z/z/BGfbT2u1Ne4Oa/Puf3TnOeO5fbP+lqZ1jfbpa8ePhK4UCoGff+x4s3NvP59wG0BfQnv0ukDKVp3cXprIfipfUSwoG1U7FFxq7uiYjfuUU7U/tk96ETViv1z44vAtXRurZjz7hFlZGGtWCu5Womsl6g6j4rbWqk/rpjz+pzbP8254+eIgVXMydk/h/PPXYHDgZOBDwD62J4KZqgIR3Poo3uvT/nZc6dN9bP8pdHQswDlf1VERR+8/mYfJ8uwjYrduDc611qZLfSoWtFdRcaeMfzYxAyYgb4MuABHX8ZsbwbiM6DNg88FHvz/2HsTaFu3syzzGefetKSjM4gESUIaIhAJIALSVZDCgSBt0AIUNaAgVARjQ7ADJEZRCtEkEAVEBBWkUaBKsaEQBZFSlEgTCQECSREgQAhNknvvuTV+99q19zn3nP1/819zfXu9+zx7jDNyc9b3z/WuZ77vN+f/n73nBl4B/G7gJwY+1vLNIX8D+MzdNS/f3VQsJ3y9YPcbXB4CPBb4+YFxK6Wp2lN1L3OSql3dJ4kyn+udJdUr5rN/HdIrMl/vKCcVeqXfK8uBcn9z95sHvx94L+D08Ljz87acdP2Duwfufx/4/MKkftFu3/tgYDlkbnlgP/MrVbu6H+gCvXLrZKR6Zfk0qdrVbT6r61SqV8znrWf4kOuQXpF5ta+YT72iV84IHNv9p73cfJpP8+lzrTMP2BPtiSM98aLaTweeDzwK+CngrwMvPnfB8hvwvgd4z93fLd9sf33Wm+85Tqr2VN3LdKVqV/eeYdtwucw3QNvzEpnvCXDw8lTe9vLBiZ5QrlcmQBwcQuaDwCaUpzJP1W0vn2DaDUOk+kXdGyZ7z0tkvifADZfLfAO0PS5J5X3M6+f7Ad+1+yV8y0EZy7PXVwI/Avz33Z/l0I3lZ9+Wn2t70u4w5co0Ltd8BrB833Dl4I7KmOdrUrWr+4EzrVdu7f5UryyfJln7aC+yXgISKBDwAI4CJEskcAUJfAGw/Dbv5UbiOcA/PnfiY+XjLr/J5euA99kVfwPw8bvfJP6/7W5MHlMZaENNqvZU3csUpWpX90nAzOd6o0n1ivnsX4f0iszXO8pJhV7p9cpy+NuX7w7g+L+BjwZ++RaTtdz/vuPuoLjl8LjlQftFXw8HloM6Phb4pd0P41c9UK1L1a7uG2dYr9ze8aleWT5RqnZ1m8+rvgaZzwfO8KHXodS+olf6vSLzfubmU+au+2cEju2e33yaT/NpPpeDPmZ/pfaWVN23m7/T32y3vP6Ru++RWO7LXg183u77KH4N+K3AdwLvAPz47hu8b3Vw9GyfXDReqvZU3ctcpGpXd2cyT95L5jKvEtArVVLz6mQ+j2VlpFTe9vLK7M6vSfWLuud7YW1Ema8Rmv+6zOczvYr3+66fvT45fTfz2cs9lXdCPv988ZfwLZ9l+V7h31v8xdXnvwdn+T7j5QCO2V+p2tV9oxP0yu2TkeqV5RMla5/dqxxPAhLY/eONICQggTuHwOkN3PKNH39h97H/zO5Uv9Fv9vgQ4B8By29ye/3uG0veBvgo4D+eO5xjFt1U7am6z980p/kllXmqbr1y0uXsibVun+rzVN3msz+feqWf+Wn3+WzgTwI/DPxp4KWDB8yd72Kn8/hOu4Pq3gX4l8DvqbW64apU7eo++4ZYvXKx7VO9snyqVO3qNp/VxSjVK+bzZIY79yx6RebVvmI+9YpeGSFgL6/SSl2HUnXby+3l1WzqlX6vyPxymN8uE3cB9wHvvzvIeTlo4zd2vwjlS4AP3n0/xXIYyzcDHwPcDdw7ErID1aZqT9W9TGOqdnUfKIQXDCtzmVcJ6JUqqXl1Mp/HsjJSKm/X/crszq9J9Yu653thbUSZrxGa/7rM5zO9aMRU3q6fvT45fbdUv6i73y/Hyvw9gE/YHXz8dOC3XIBmOYDj2cD3XvB9xaffg/PU3XPdZcxvAz7iAMhTtav7xn+j0Cu3D0eqV5ZPlKz9AO3KISUggWWD4JcEJHDnEXgf4DnA+wL/D/CpwM9twPA84K/svknkHuB1wHIIx4uBP7FhvMolqdpTdS9zkqpd3eaz0lOSPZ6s3Xyaz6uez1SPJ/eV5SThtwDeDHjl7hudb+Wz03vg+y8w4ek/GHwy8JXA9d03Tf+1qnEH61K1q/vsm6b1ysWmT/XK8qlStavbfFaXolSvmM+TGe7cs+gVmVf7ivnUK3rljMCx3X/ay82n+TSfIx6o1qb2llTd7rX6e/laFk6/KXv5vosvBd5td8Fzd99D8fnAo3bPl//qER3AschM1Z6qW+ZraZr/ul6Zz3RtRJmvEZr/eirzVN328vkeXhtRr6wRmv+6zOczXRsxlXmqbnv5miMP83qqX9R9GD9cNKrMZV4loFeqpObVJTB/GPCU3TPa5Qfol2e1T9s9n11I/CHga4Db/eLq0+/B+YPAV+2en34usDzXPfRXqnZ165VqNlK9sny+ZO3V+bFOAhK4gIAHcGgPCUjgIcCbgIt+CPF2lJaNxNcDH7a7fvnhxOXG41OAr2hAm6o9Vfcypana1X3yw8Pmc70xpXrFfJ6sY50+1ysyX+8oJxV6pd8r1bm5qO7BwDcAHw78EPBpwL+fMXDDGKna1d1gjpveQuYyrxLQK1VS8+pkPo9ldSSZV0nNqUvlvXz6VO2pumU+J3Mjo+iVEVpzalOZp+q2r8zx7egoqX5R9+hM718v8/0Zjo4g81Fit6//QOALgffelfzC7sDo5Xsqfg/wLy/45u55KraNlKo9VfcyS6na1b0tY/tcJfN96G27VubbuG29KpW3vXzrjG+/Tq9sZ7f1SplvJbf9ulTmqbrt5du9us+VqX5R9z6zvu1amW/jts9VMt+H3vi1qbyPaf1cDtJY/ixf913w83BvBTwD+BHgp1emahnvG4HfB/wU8EeBfzs+vatXpGpX99nU6pWLbZ7qleVTJWtfbT4WSEAC4wQ8gGOcmVdI4CoQWDYES/6XH1TecvDGwuD0FMMnAN8N/Gbg13bfRPLuwA8cCFSq9lTdpxvIRL+kMk/VrVdO+qk9sdb8U32eqtt89udTr/Qzr3Wf9arTPe4fA/4S8Da731z4l4FfXr/8UitStau73zYyl3mVgF6pkppXJ/N5LKsjybxKak5dKu/zz0LT9okyn+PdkVFSmafqNp8j7pxTq1fmcBwZReYjtObUpjJP1W0vn+Pb0VFS/XLsupfDN74MeJfd92Lcszuk++2AV49OUnN9qvZU3cv0pmpXd3M49Uo/cJm3M0/tK/bydqvErp16pd8rMu9nbi+X+QiBVL+oe2SW59TKfA7HkVFkPkJr/9pU3se811qeH59+//bycx3LwRyVr9Pnzp8EvGD3s3FfDfxpYDloueMrVbu6Qa/UEpLqleXTJWuvzY5VEpDAbQl4AIfmkIAEZhD4vcA/PzfQmwG/MWPghjFStafqXqY0Vbu6GwJ501vIXOZVAnqlSmpencznsayMlMo7dd1/S+CVwPKbCZev9wK+vzJRR1CTql3d/eaRucyrBPRKldS8OpnPY1kdSeZVUnPqUnkvnz5Ve6pumc/J3MgoemWE1pzaVOapuu0rc3w7OkqqX9Q9OtP718t8f4ajI8h8lNjF9affpP1bgG8C3vNc+elvYpz7jvNGS9WeqnuZuVTt6p6Xu+pIMq+Smlcn83ksKyOl8raXV2Z3bo1emcuzMprMK5Tm1qQyT9VtL5/r3+poqX5Rd3WG59XJfB7L6kgyr5KaU5fKO3X9POV90ew9HPip3feFLHUfedPPyM2Z+fFRUrWre3yu971C5vsSHL8+lfn4J/UKCdzBBDyA4w6efD+6BG4icNoPlpP+Rr/uAn438Dt2p/192ugAe9anak/VfXrjvPxvml9Smafq1ivwmwF7Yq3Jp/o8Vbf57M+nXsli/gjgqcATgK8/982wtY62f9U+frlM7eo++8bp/V1QG0HmMq855YTT1ns4+0qV8o11MjefVefoFb1y1b2y7/2n61DVIWd1qX1Fr/Tff+oVmY90mFS/qNu9VtXnqV5x/TyuXr4ctHF991sWnwi8G/BWwIt2f7e8dplfF/n8mLWn6l7Lp8znp0GvzGe6NqLM1wjNfz2Veapue/l8D6+NqFfWCM1/Xebzma6NmMo8Vbe9fM2Rh3k91S/qPowfLhpV5jKvEtArVVLz6q4i87V+tByu/JTd9w3/A+CN83CWRtr67xTLdZepXd16pWTw3ffiL7WjP4d42R5fu6c49t5SnR/rJCCBWxA4XeSEIwEJ3LkElj5wq83L+U3w7Woum1qq9lTdp5vGRL+kMk/VrVcupzum+kXd/X6ReS/zVN728jOfdO6FZ/ulS7u6T/zSxfsQ+ezSnuoVmff3RL0i85EdW6pf1O36WfV5qldcP+3lVY/rFb2iV07+nW7kvmykdoTvrWpT1yF1u9eqej/VK66fx7t+Lspu/vf0zr69Ty8/Nu3VfB6b7pF8Hpv2VOapuvVKdbWeW5fqF3XP9UFlNJlXKM2rSeVtL5/ngZGRUv2i7pFZnlMr8zkcR0aR+Qit/WtTebt+7j/3W0ZI9Yu6t8z2ftdcdeajP/i/H83a1VXmx6Zd3bX5nVkl85k0a2OlMq99OqskIIFVAksT8EsCEpDAOwC/Ffh14NXAqy5AsvwWjmXjfiyb91TtqboXa6RqV3d/r5O5zKsE9EqV1Lw6mc9jWRkplfedvu5f1r53hl8uQ7u6+++RZC7zyho0q5fbV6q0T+rMp/msOkav6JWr7hV7Yv+z9NS+olf0SrUf6pV+r8i8n7m9XOb2xBsJ3O6ZxLE/q7gbWDTecyTfWzHSW45Je6ru0fVT5iOd79a1emV/hqMjyHyU2P71qcxTddvL9/fs6Ah6ZZTY/vUy35/h6AipzFN128tHHTqnPtUv6p4z/yOjyHyE1pxamc/hWB0llfedsn5exvPli7wz4pdj0q7uakeYVyfzeSyrI6Uyr34+6yQggQsIeACH9pDAnUngEcBvB/4g8AHAG4CHAY8B3gp4E/AK4GXAfwG+d/e/v3gEuFK1p+pepjxVu7r7AytzmVcJ6JUqqXl1Mp/HsjJSKm/X/crszq9J9Yu653thbUSZrxGa/7rM5zO9aMRU3q6fvT45fbdUv6i73y8yl3mVgF6pkppXJ/N5LCsjpfJ2r1WZ3fk1qX5R93wvrI0o8zVC81+X+XymPqs4ru8JSfW4e5bebCbzTtZuPvV5lYBeqZKaV5fKPFW3vXyed0dGSvWLukdmeU6tzOdwHBlF5iO09q9N5e36uf/cbxkh1S/q3jLb+10j8/34bbla5luobb8mlbfr5/Y53+fKZL/s87m9VgISuAUBD+DQFhK48wg8HXge8HHA9d1vXalS+E7g/wK+DfjR6kUT61K1p+pepi5Vu7onBq84lMyLoCaWyXwizMJQqbzt5f17Fr0i80JL+f9LUv2i7pFZnlMr8zkcR0aR+Qit/WtTebvX6l/3Zd7P3HzKfKTLp/pF3SOzPKdW5nM4VkdJ5e26378GybyfufmUebWXm0+9olcuJuD3sow45Kw2dR1K1W0v7+/lMu9nbj5lXl2R9IpeqXrFXq5X9Ir3QiMeqNamrkOpuu3l/b1c5v3MzafMq2uQ+dQresX97YgHrJWABC6ZgAdwXPIE+PYSaCbwwcALgScB9wAPOvf+P7s7kONRwHJa162+lgM7XsfJb0D5WuBbgdc2fYZU7am6l2lN1a5u81ltS6leMZ/965Bekbl95eTgtmPcJ5pP82k+zWfVAyN1qb1F3d4LVX2e6hXvhVz3qx7NY2wHAAAgAElEQVTXK/1ekXk/c3u5zKs9Ua/olapX7OV6Ra8c7zMW82k+zaf5HPFAtTZ1n5iq217e38tl3s/cfMr8qq9B9pV+j8u8n7m9XObVXm4+9Ype8VnFiAeqtanrUKpue3l/L5d5P3PzKfPqGpScz5HPaK0EJDBIwAM4BoFZLoFgAk8B/vbuUIV7gV8B/i3wdbvDOB68O4DjfuDNgLcFngi8E/AE4G1uOrBjQfH3gOfuxlr6yXLtIb5StafqXuYwVbu6zxJoPi/uRqleMZ83zmuHz/WKzKt7G72iV6pesZfrFb0C3n+OuKBWm7oOpeq2l/f3cpn3MzefMq+tQCdVqX5Rt88Sqz7XK3rlqnvFXu66X/W4Xun3isz7maeu+3ql3ysy72duPmXunuV4/33FfJrPaj71il6pesW9ll7RK8e77ptP82k+zechfmYodZ+Yqtte3t/LZd7P3HzK/E7Ys4x8RmslIIENBDyAYwM0L5FAKIEXAH9895vL/w3wJ4EfuuCz3A08BHhz4PHAM4APAj4EeOi56/4V8PHALx+QS6r2VN3LVKZqV7f5rLaiVK+Yz/51SK/I3L7yQALHsk80n+bTfJrPqgdG6lJ7i7q9F6r6PNUr3gu57lc9rlf6vSLzfub2cplXe6Je0StVr9jL9YpeOd5nLObTfJpP8znigWpt6j4xVbe9vL+Xy7yfufmU+VVfg+wr/R6XeT9ze7nMq73cfOoVveKzihEPVGtT16FU3fby/l4u837m5lPm1TUoOZ8jn9FaCUhgAwEP4NgAzUskEErgvwLvCrwWeGfgNec+x7Xdfy+nUV50IuVjdmN8EvD7dwd0LD+A+XzgLwLXD8QmVXuq7mUaU7WrG8xnrRGlesV8nqxlnT7XKzKvdZXctdO+0u9xmfczt5fLvNrLzade0SsnBHw+NOKE9drUdShVt728v5fLvJ+5+ZT5+upzUqFX9ErVK8l+SfV5qm690t9XZN7P3HzK3PXzeJ8PmU/zaT7N54gHqrWpvUXdvd875L68fw2SeT/z1L6iV/q9IvN+5uZT5tW9rfnUK3rleO+bzaf5NJ/m81A/czviLWslIIFBAh7AMQjMcgmEEnjz3cEb9wBfCXzanp9jOYjjTwN/kpPfMPurwO8CXrrnuLe6PFV7qu5lDlK1q/skQeZzvRGlesV8ns1tl8/1iszXO8pJhV7RK1WvJPsl1eepuvVKf1+ReT9z8ylz188RAr33/ObTfI64M9Uv6u7tK+617Cv2lREC5rNKy16uV666V1w/XT+rHtcr/V6ReT/z1HVfr/R7Reb9zM2nzKt7Fr2iV6pesZfrFb0yQsDnQ1VaqetQqm57eX8vl3k/c/Mp8+oaZD71il4ZIeD+dpyWV0hAAgcj4AEcB0PrwBI4KgLvAfwn4PXAXwVeACz5X36j6ejX+ev+PvAJwF3AHwK+ZnSwQn2q9lTdy5Skalf3jbk2n7dvMKleMZ8nc9q5DukVmRe2Kv+zRK/olapXkv2S6vNU3Xqlv6/IvJ+5+ZS56+cIAe+FqrRSe0uqbtdPe3k1m3pFr+iVEQK96775NJ8j7kzds6TqNp/m03yOEHD9rNJK7Ympuu3l/b1c5v3MzafMr/oaZF/p97jM+5nby2Ve7eXmU6/olRECPquo0kpdh1J128v7e7nM+5mbT5lX16DkfI58RmslIIGNBDyAYyM4L5NAGIGP2B2O8UjgLwOfvzs0476Nn+MacB14HPBTwL3A1wJ/eON4F12Wqj1V9zIXqdrVfZIk87neiFK9Yj7P5rbL53pF5usd5aRCr+iVqleS/ZLq81TdeqW/r8i8n7n5lLnr5wiB3nt+82k+R9yZ6hd19/YV91r2FfvKCAHzWaVlL9crV90rrp+un1WP65V+r8i8n3nquq9X+r0i837m5lPm1T2LXtErVa/Yy/WKXhkh4POhKq3UdShVt728v5fLvJ+5+ZR5dQ0yn3pFr4wQcH87TssrJCCBgxHwAI6DoXVgCRwVgfcGvgp4MvDPgT8A/MYeCpfecT/wlN14TwL+KfCsPca83aWp2lN1L/OQql3dJykyn+uNKNUr5vNsbrt8rldkvt5RTir0il6peiXZL6k+T9WtV/r7isz7mZtPmbt+jhDovec3n+ZzxJ2pflF3b19xr2Vfsa+MEDCfVVr2cr1y1b3i+un6WfW4Xun3isz7maeu+3ql3ysy72duPmVe3bPoFb1S9Yq9XK/olRECPh+q0kpdh1J128v7e7nM+5mbT5lX1yDzqVf0yggB97fjtLxCAhI4GAEP4DgYWgeWwNEQOP0h5R8Anr5T9RnAi3b/fdfuMI3lQI3lT+XrGnAd+F3AC4F3Ab4E+OzKxQM1qdpTdS9Tk6pd3WfBMp8XN5lUr5jPG+e1w+d6RebVLYte0StVr9jL9YpeAe8/5987p65Dqbrt5f29XOb9zM2nzN2zHO+exXyaz2o+9YpeqXrFvZZe0SvHu+6bT/NpPs3nIb4PJ3WfmKrbXt7fy2Xez9x8yry6Z9EreqXqFXu5XtEr3gt5L3SWAtdPe6I98Xh7ovk0n+bTfPozlO5ZbtcHOn7WaaQHWSsBCexBwAM49oDnpRIII/Bs4CW7QzaW7H8x8PnAr9zmc5z2h5sP5Vj+/m7gHuC5wPOAxwCfBHztgZikak/VvUxjqnZ1m89qG0r1ivk8OSiocx3SKzK3rzyQwLHsE82n+TSf5rPqgZG61N6i7t49ovvy/jVI5v3MU/uKXun3isz7mZtPmVf3t3pFr1S9Yi/XK3rleJ+xmE/zaT7N5yG+Dyd1n5iq217e38tl3s/cfMq8umfRK3ql6hV7uV7RK94LeS905gHXT3uiPfF4e6L5NJ/m03yOeKBam9pbUnUn339WPWWdBCSwkYAHcGwE52USCCTwSODvAs86p/0ngW8B/gXwI8BrgDdd8NlOT2pcSp4G/DPgibvrPgj40QNxSdWeqnuZxlTt6j4Joflcb0apXjGfcHowVJfP9YrM1zvKSYVe0StVryT7JdXnqbr1Sn9fkXk/c/Mpc9fP430mZz7Np/k0nyMeqNam9hZ1+9z5qnvceyHX/arH9Uq/V2Tezzx13dcr/V6ReT9z8ylz9yw+qxjxQLU2tbeo22cVV93j7rVc96se1yv9XpF5P/PUdV+v9HtF5v3MzafM3bP4rGLEA9Xa1N6Sqjt5/ax6yjoJSGAjAQ/g2AjOyyQQSuAJwEuA9wYeyslpg/cBrwB+GPhB4OXATwO/DLwO+PXdf79x95nfB3g68BeAx+7G+FLgucC9B+SSqj1V9zKVqdrVbT6rrSjVK+azfx3SKzK3rxzvPtF8mk/zaT6rHhipS+0t6vZeqOrzVK94L+S6X/W4Xun3isz7mdvLZV7tiXpFr1S9Yi/XK3rleJ+xmE/zaT7N54gHqrWp+8RU3fby/l4u837m5lPmV30Nsq/0e1zm/czt5TKv9nLzqVf0is8qRjxQrU1dh1J128v7e7nM+5mbT5lX16DkfI58RmslIIFBAh7AMQjMcglcAQJvDnwR8Edu81neBPwc8BrgF4Dl/z8ceOvdARuP2R3McP/u8I2XAe+3qz00nlTtqbqX+UzVru6TA3bM53pXSvWK+Tw5MbfT53pF5usd5aRCr+iVqleS/ZLq81TdeqW/r8i8n7n5lLnr58kzuGN8Jmc+zaf5NJ8jHqjWpvYWdfc+j3Nf3r8GybyfeWpf0Sv9XpF5P3PzKfPq3tZ86hW9crz3zebTfJrP482ney3zaT7N54gHqrWpvSVVt3ste3k1m3ql3ysy72duL5e5PdH97YgHqrWpvSVVd/L6WfWUdRKQwCABD+AYBGa5BMIJXAOu7z7DU4FnA88EnrQ7ZGP04/174E8AL939EPTyw9CH+krVnqp7mcdU7eo+SaH5XO9GqV4xn2dz2+VzvSLz9Y5yUqFX9ErVK8l+SfV5qm690t9XZN7P3HzK3PVzhEDvPb/5NJ8j7kz1i7p7+4p7LfuKfWWEgPms0rKX65Wr7hXXT9fPqsf1Sr9XZN7PPHXd1yv9XpF5P3PzKfPqnkWv6JWqV+zlekWvjBDw+VCVVuo6lKrbXt7fy2Xez9x8yry6BplPvaJXRgi4vx2n5RUSkMB0Ah7AMR2pA0oggsCS/eWwjEcDy0Ec7wu8H/AM4HE3fYJ7dj9Metfu718LvAL4euDLgV9t/sSp2lN1L9Obql3d5rPanlK9Yj771yG9InP7yo0EjmmfaD7Np/k0n1UPjNSl9hZ1ey9U9XmqV7wXct2velyv9HtF5v3M7eUyr/ZEvaJXql6xl+sVvXK8z1jMp/k0n+ZzxAPV2tR9Yqpue3l/L5d5P3PzKfOrvgbZV/o9LvN+5vZymVd7ufnUK3rFZxUjHqjWpq5Dqbrt5f29XOb9zM2nzKtrUHI+Rz6jtRKQQJGAB3AUQVkmgTuIwFsB7wQ8DXhH4KHAG4BXAj8LvB7418C9R8gkVXuq7sUCqdrV3R9gmcu8SkCvVEnNq5P5PJaVkVJ5u+5XZnd+Tapf1D3fC2sjynyN0PzXZT6f6UUjpvJ2/ez1yem7pfpF3f1+kbnMqwT0SpXUvDqZz2NZGSmVt3utyuzOr0n1i7rne2FtRJmvEZr/usznM/VZRS/TtXdL9bh7lrWZnf+6XpnPdG1Ema8Rmv96KvNU3fby+R5eG1GvrBGa/7rM5zNdGzGVeapue/maIw/zeqpf1H0YP1zF5yypXrEn6vERAqk+T9VtPkfcOadWr8zhODKKzEdoWSsBCVwqAQ/guFT8vrkEjoLANeC0F9x3gaKl7vru9dPT3y77A6RqT9W9zHeqdnX3p1XmMq8S0CtVUvPqZD6PZWWkVN6u+5XZnV+T6hd1z/fC2ogyXyM0/3WZz2d60YipvF0/e31y+m6pflF3v19kLvMqAb1SJTWvTubzWFZGSuXtXqsyu/NrUv2i7vleWBtR5muE5r8u8/lMfVZxXN8Tkupx9yy92UzmnazdfOrzKgG9UiU1ry6Veapue/k8746MlOoXdY/M8pxamc/hODKKzEdo7V+bytv1c/+53zJCql/UvWW297tG5vvx23K1zLdQ235NKm/Xz+1zvs+VyX7Z53N7rQQksCPgARxaQQISuBWBZYOw/Fm+lkM57t/99/J3y3+f/v9jpJeqPVX36SY+0S+pzFN165XL6ZipflF3v19k3ss8lbe9vNcnp++W6hd19/tF5jKvEtArVVLz6mQ+j2V1JJlXSc2pS+Xt/nbO/I+OkuoXdY/O9P71Mt+f4cgIqbzt5SOzPK821S/qnueB6kgyr5KaVyfzeSwrI6Xydv2szO78mlS/qHu+F9ZGlPkaofmvy3w+04tGTOXt+tnrk2TeydrNpz6vEtArVVLz6mQ+j2V1pFTmqbpdP6vOnFuX6hd1z/VBZTSZVyjNrZH5XJ5ro6Xydv1cm9nDvJ7sl8MQcVQJXGECHsBxhSfXjyYBCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCSwTsADONYZWSGBO4nAcgrXdeDpwAcDbwC+BXhVAIRU7am6F0ukald3f6BlLvMqAb1SJTWvTubzWFZGSuXtul+Z3fk1qX5R93wvrI0o8zVC81+X+XymF42Yytv1s9cnp++W6hd19/tF5jKvEtArVVLz6mQ+j2VlpFTe7rUqszu/JtUv6p7vhbURZb5GaP7rMp/P1GcVvUzX3i3V4+5Z1mZ2/ut6ZT7TtRFlvkZo/uupzFN128vne3htRL2yRmj+6zKfz3RtxFTmqbrt5WuOPMzrqX5R92H8cBWfs6R6xZ6ox0cIpPo8Vbf5HHHnnFq9MofjyCgyH6FlrQQkcOkEPIDj0qdAARI4KgJLT7gf+FTgbwEPAT4O+MZzhy0cleBzYlK1p+pe0KdqV3d/imUu8yoBvVIlNa9O5vNYVkZK5e26X5nd+TWpflH3fC+sjSjzNULzX5f5fKYXjZjK2/Wz1yen75bqF3X3+0XmMq8S0CtVUvPqZD6PZWWkVN7utSqzO78m1S/qnu+FtRFlvkZo/usyn8/UZxW9TNfeLdXj7lnWZnb+63plPtO1EWW+Rmj+66nMU3Xby+d7eG1EvbJGaP7rMp/PdG3EVOapuu3la448zOupflH3YfxwFZ+zpHrFnqjHRwik+jxVt/kcceecWr0yh+PIKDIfoWWtBCRw6QSWpuWXBCQggZsJfC7wp4DHAE8EfuLcYQvHTitVe6ruxQ+p2tXdn2aZy7xKQK9USc2rk/k8lpWRUnm77ldmd35Nql/UPd8LayPKfI3Q/NdlPp/pRSOm8nb97PXJ6bul+kXd/X6RucyrBPRKldS8OpnPY1kZKZW3e63K7M6vSfWLuud7YW1Ema8Rmv+6zOcz9VlFL9O1d0v1uHuWtZmd/7pemc90bUSZrxGa/3oq81Td9vL5Hl4bUa+sEZr/usznM10bMZV5qm57+ZojD/N6ql/UfRg/XMXnLKlesSfq8RECqT5P1W0+R9w5p1avzOE4MorMR2hZKwEJXBoBD+C4NPS+sQSOlsBdwIuATwHuAx50tEofKCxVe6ruZQZStau7P9gyl3mVgF6pkppXJ/N5LCsjpfJ23a/M7vyaVL+oe74X1kaU+Rqh+a/LfD7Ti0ZM5e362euT03dL9Yu6+/0ic5lXCeiVKql5dTKfx7IyUipv91qV2Z1fk+oXdc/3wtqIMl8jNP91mc9n6rOKXqZr75bqcfcsazM7/3W9Mp/p2ogyXyM0//VU5qm67eXzPbw2ol5ZIzT/dZnPZ7o2YirzVN328jVHHub1VL+o+zB+uIrPWVK9Yk/U4yMEUn2eqtt8jrhzTq1emcNxZBSZj9CyVgISuFQCHsBxqfh9cwkcJYHHAi8BPhz4YeCdgWvA9aNUe6OoVO2puhf6qdrV3R9omcu8SkCvVEnNq5P5PJaVkVJ5u+5XZnd+Tapf1D3fC2sjynyN0PzXZT6f6UUjpvJ2/ez1yem7pfpF3f1+kbnMqwT0SpXUvDqZz2NZGSmVt3utyuzOr0n1i7rne2FtRJmvEZr/usznM/VZRS/TtXdL9bh7lrWZnf+6XpnPdG1Ema8Rmv96KvNU3fby+R5eG1GvrBGa/7rM5zNdGzGVeapue/maIw/zeqpf1H0YP1zF5yypXrEn6vERAqk+T9VtPkfcOadWr8zhODKKzEdoWSsBCVwqAQ/guFT8vrkEjorA0g/uB54OvBj4ncDXAZ8I3A3ce1RqbxSTqj1V90I/Vbu6+4Msc5lXCeiVKql5dTKfx7IyUipv1/3K7M6vSfWLuud7YW1Ema8Rmv+6zOczvWjEVN6un70+OX23VL+ou98vMpd5lYBeqZKaVyfzeSwrI6Xydq9Vmd35Nal+Ufd8L6yNKPM1QvNfl/l8pj6r6GW69m6pHnfPsjaz81/XK/OZro0o8zVC819PZZ6q214+38NrI+qVNULzX5f5fKZrI6YyT9VtL19z5GFeT/WLug/jh6v4nCXVK/ZEPT5CINXnqbrN54g759TqlTkcR0aR+QgtayUggaMgsDQuvyQgAQksBK4B14EPA/4m8GTgs4EvAe4C7jtiTKnaU3Un+yWVeapuvXI5jTPVL+ru94vMe5mn8raX9/rk9N1S/aLufr/IXOZVAnqlSmpencznsayOJPMqqTl1qbzd386Z/9FRUv2i7tGZ3r9e5vszHBkhlbe9fGSW59Wm+kXd8zxQHUnmVVLz6mQ+j2VlpFTerp+V2Z1fk+oXdc/3wtqIMl8jNP91mc9netGIqbxdP3t9ksw7Wbv51OdVAnqlSmpencznsayOlMo8VbfrZ9WZc+tS/aLuuT6ojCbzCqW5NTKfy3NttFTerp9rM3uY15P9chgijiqBO4SAB3DcIRPtx5RAgcDpSWKfBvxF4LHABwHfde5wjsIwl1KSqj1V9zLJqdrV3R9Rmcu8SkCvVEnNq5P5PJaVkVJ5u+5XZnd+Tapf1D3fC2sjynyN0PzXZT6f6UUjpvJ2/ez1yem7pfpF3f1+kbnMqwT0SpXUvDqZz2NZGSmVt3utyuzOr0n1i7rne2FtRJmvEZr/usznM/VZRS/TtXdL9bh7lrWZnf+6XpnPdG1Ema8Rmv96KvNU3fby+R5eG1GvrBGa/7rM5zNdGzGVeapue/maIw/zeqpf1H0YP1zF5yypXrEn6vERAqk+T9VtPkfcOadWr8zhODKKzEdoWSsBCRwFgaVx+SUBCUjgPIHnA392d8DCcgjHzwfhSdWeqnuxRqp2dfcHW+YyrxLQK1VS8+pkPo9lZaRU3q77ldmdX5PqF3XP98LaiDJfIzT/dZnPZ3rRiKm8XT97fXL6bql+UXe/X2Qu8yoBvVIlNa9O5vNYVkZK5e1eqzK782tS/aLu+V5YG1Hma4Tmvy7z+Ux9VtHLdO3dUj3unmVtZue/rlfmM10bUeZrhOa/nso8Vbe9fL6H10bUK2uE5r8u8/lM10ZMZZ6q216+5sjDvJ7qF3Ufxg9X8TlLqlfsiXp8hECqz1N1m88Rd86p1StzOI6MIvMRWtZKQAKXSsADOC4Vv28ugaMk8CTgQ4AnAH/qKBXeXlSq9lTdy0ykald3f7hlLvMqAb1SJTWvTubzWFZGSuXtul+Z3fk1qX5R93wvrI0o8zVC81+X+XymF42Yytv1s9cnp++W6hd19/tF5jKvEtArVVLz6mQ+j2VlpFTe7rUqszu/JtUv6p7vhbURZb5GaP7rMp/P1GcVvUzX3i3V4+5Z1mZ2/ut6ZT7TtRFlvkZo/uupzFN128vne3htRL2yRmj+6zKfz3RtxFTmqbrt5WuOPMzrqX5R92H8cBWfs6R6xZ6ox0cIpPo8Vbf5HHHnnFq9MofjyCgyH6FlrQQkcKkEPIDjUvH75hJoI3Ca9ft377j8/2vAfW0Ktr9RqvZU3ctMpWpX9/acbb1S5lvJbb9O5tvZbbkylbe9fMts73eNXtmP35arZb6F2n7XpDJP1W0v38+vW69O9Yu6t8749utkvp3d1itlvpXctutSebt+bpvvfa9K9Yu695358etlPs5snytSedvL95n17dem+kXd2+d865Uy30pu+3Uy385uy5WpvF0/t8z2/tek+kXd+8/96AgyHyW2f73M92c4MkIqb9fPkVmeU6tX5nAcGUXmI7Tm1KYyT9VtL5/j29FRUv2i7tGZ3r9e5vszHB1B5qPE9qtP5e36ud+8b7061S/q3jrj26+T+XZ2W69MZb7183qdBCQwQOC0QQxcYqkEJBBGYMn56cEbD9kdunHvBZ/hLuDuQl0HhlTtqbpPb6YT/ZLKPFW3XunogA98j1S/qLvfLzLvZZ7K217e65PTd0v1i7r7/SJzmVcJ6JUqqXl1Mp/HsjqSzKuk5tSl8nZ/O2f+R0dJ9Yu6R2d6/3qZ789wZIRU3vbykVmeV5vqF3XP80B1JJlXSc2rk/k8lpWRUnm7flZmd35Nql/UPd8LayPKfI3Q/NdlPp/pRSOm8nb97PVJMu9k7eZTn1cJ6JUqqXl1Mp/HsjpSKvNU3a6fVWfOrUv1i7rn+qAymswrlObWyHwuz7XRUnm7fq7N7GFeT/bLYYg4qgQkcAOBpUn4JQEJXG0CDwJ+D/D2uz/vDDwG+GXgFcBPAD8D/Pju///iEeFI1Z6qe5n6VO3q7g+uzGVeJaBXqqTm1cl8HsvKSKm8Xfcrszu/JtUv6p7vhbURZb5GaP7rMp/P9KIRU3m7fvb65PTdUv2i7n6/yFzmVQJ6pUpqXp3M57GsjJTK271WZXbn16T6Rd3zvbA2oszXCM1/Xebzmfqs4uR7RI7le0JSPe6epTebybyTtZtPfV4loFeqpObVpTJP1W0vn+fdkZFS/aLukVmeUyvzORxHRpH5CK39a1N5u37uP/dbRkj1i7q3zPZ+18h8P35brpb5Fmrbr0nl7fq5fc73uTLZL/t8bq+VgASKBDyAowjKMgkEErgG/H7gOcCTgUevfIZ7gVcCPwj8G+DfAT8GvAFYxrp/96cDRar2VN3LnKZqV7f5rPakVK+Yz/51SK/I3L7yQALHsk80n+bTfJrPqgdG6lJ7i7q9F6r6PNUr3gu57lc9rlf6vSLzfub2cplXe6Je0StVr9jL9YpeOd5nLObTfJpP8znigWpt6j4xVbe9vL+Xy7yfufmU+VVfg+wr/R6XeT9ze7nMq73cfOoVveKzihEPVGtT16FU3fby/l4u837m5lPm1TUoOZ8jn9FaCUhgAgEP4JgA0SEkcIQE3gL4XOCzbqFtOUijkv2fAb4Z+NvAy3fjLNct1x/yK1V7qu5lLlO1q9t8VntRqlfMZ/86pFdkbl853n2i+TSf5tN8Vj0wUpfaW9TtvVDV56le8V7Idb/qcb3S7xWZ9zO3l8u82hP1il6pesVerlf0yvE+YzGf5tN8ms8RD1RrU/eJqbrt5f29XOb9zM2nzK/6GmRf6fe4zPuZ28tlXu3l5lOv6BWfVYx4oFqbug6l6raX9/dymfczN58yr65Byfkc+YzWSkACkwhUfgh/0ls5jAQk0ETgQcCfAz7v3Pv9FPCjwK8Cy3+/Hng48LbAO+7+vOVt9P0S8ELgC4B7DvwZUrWn6l6mM1W7uk/CaD7Xm1KqV8zn2dx2+VyvyHy9o5xU6BW9UvVKsl9SfZ6qW6/09xWZ9zM3nzJ3/TzeZ3Lm03yaT/M54oFqbWpvUbfPna+6x70Xct2velyv9HtF5v3MU9d9vdLvFZn3MzefMnfP4rOKEQ9Ua1N7i7p9VnHVPe5ey3W/6nG90u8VmfczT1339Uq/V2Tez9x8ytw9i88qRjxQrU3tLam6k9fPqqesk4AEJhPwAI7JQB1OAkdA4KOA5wNPAX4e+CrgHwH/baft2u4HR37g/WsAACAASURBVO8H7gXuAh4NPAF4N+B3As/YHcrxsN01vwa8GPj83SEeh/qYqdpTdS/zmKpd3WA+a50o1Svm8+SAqE6f6xWZ17pK7tppX+n3uMz7mdvLZV7t5eZTr+gV8PnQiAtqtanrUKpue3l/L5d5P3PzKfPaCuSzisv4Ny3zaT7N5/HeU5hP82k+zWfVAyN1qb1F3b3/3ux9c/8aJPN+5ql9Ra/oFdf9490jmk/zaT7N54gHqrWpe5ZU3fby/l4u837m5lPm1TXIfOoVveL+dsQD1kpAAkdOwAM4jnyClCeBDQS+GvhEYMn3HwaW/7983Q3cBywHb9zua/nhi7cA3hn4fcAfAH7TueLPAF60G/uicTbI/p+XpGpP1S3zfp/rFZmP9MdUv6jb9bPqc72iV666V9xrue5XPa5X+r0i837mqeu+Xun3isz7mZtPmbtnOd5n5ubTfFbzqVf0StUr7rX0il453nXffJpP82k+l+/xmf19OKn7xFTd9vL+Xi7zfubmU+bVPYte0StVr9jL9Ype8V7Ie6GzFLh+2hPticfbE82n+TSf5nP2s1vvhfr7SjLzkR5krQQkMJGAB3BMhOlQEjgSAq8A3gH4d8CHA6/n5PSw6xv0vRXwd4Bn7a79CU5+k9oPbhirckmq9lTdy5ykalc3mM9KV8n1uPk8md9On6f2Fb2iV2rd8KQq1eepumVuPs3nCIHedd98ms8Rd6auQ6m6zaf5NJ8jBFw/q7RSe2Kqbnu5vbyaTb3S7xWZ9zO3l8vcnjhCoHd/az7N54g7U/2i7t6+4l6rv6/IvJ95al/RK3rFdX+EgOtnlVZqT0zVbS/v7+Uy72duPmVeXYPMp17RKyME3N9WaaWuQ6m67eX9vTyZeTXH1klAApMJeADHZKAOJ4FLJvBo4JeAe4CXAJ+5Uc/SG05PlH0Q8A3AhwAPAT4F+IqN4150War2VN3LXKRqV7f5rLagVK+YzxOPd65DekXm9pUqAb1SJ+Vey15ed0vqOpSq272WvbyeTnt5dy83n+bTfNYJmM86q9Q9S6pue7m9vJ5O91r28rpbUntiqm57eX8vl3k/c/Mp8/oq5J6le89iPs2n+awTMJ91Vqm9Rd293zvkvrx/DZJ5P/PUvqJX+r0i837m5lPm9d2tzyq8F6q7JbW3pOp2/bSX19NpL+/u5cn5HPGVtRKQwGQCHsAxGajDSeCSCbwL8B+AhwNfBnwGcBdw3566nn5u3K8CPh14455j3nx5qvZU3Qv/VO3qvjE95vP2zSjVK+bzgXN6aJ/rFZlXtzV6Ra9UvWIv1yt6ZYSA+9sqrdR1KFW3vby/l8u8n7n5lHl1DTKfekWvjBDo3d/ay83niDtT/aLu3r7iut/fV2Tezzy1r+iVfq/IvJ+5+ZS5+9sRAr37RPNpPqvu1Ct6peoV91p6Ra+MEOhd982n+RxxZ+ran6rbfJpP8zlCwPWzSiu1J6bqtpf39/Jk5tUcWycBCRyAgAdwHACqQ0rgEgm8B/D3gacB3wJ8NHANuH/3Z6u0hwAvA94e+I/A+2wd6ILrUrWn6l6mIlW7um8Mkvm8fWNJ9Yr5fOCcHtrnekXm1a2NXtErVa/Yy/WKXhkh4P62Sit1HUrVbS/v7+Uy72duPmVeXYPMp17RKyMEeve39nLzOeLOVL+ou7evuO739xWZ9zNP7St6pd8rMu9nbj5l7v52hEDvPtF8ms+qO/WKXql6xb2WXtErIwR6133zaT5H3Jm69qfqNp/m03yOEHD9rNJK7Ympuu3l/b08mXk1x9ZJQAIHIOABHAeA6pASuEQCDwW+FXgm8AbgjwD/eA89S49YDu94PPCVwAcA/wr4X/cY83aXpmpP1b3MQ6p2dZ+kyHyuN6JUr5jPs7nt8rlekfl6Rzmp0Ct6peqVZL+k+jxVt17p7ysy72duPmXu+jlCoPee33yazxF3pvpF3b19xb2WfcW+MkLAfFZp2cv1ylX3iuun62fV43ql3ysy72eeuu7rlX6vyLyfufmUeXXPolf0StUr9nK9oldGCPh8qEordR1K1W0v7+/lMu9nbj5lXl2DzKde0SsjBNzfjtPyCglIoJ2AB3C0I/cNJXAwAqc/pPz5wJ/fHZzxSuALgW8AXrd756XutHY5XOOir2vA9d2BHi8CngT8beA5kz9FqvZU3cv0pWpX91n4zOfFjSjVK+bzxnnt8LlekXl1W6NX9ErVK/ZyvaJXvP88xL1z6jqUqtte3t/LZd7P3HzK3D3L8e5ZzKf5rOZTr+iVqlfca+kVvXK86775NJ/m03z6LPEsBe5v7Yn2xOPtiebTfFbzqVf0StUr3gvpFb1yvOu++TSf5tN8+qzCZxW36wN+X//FHTL1fkjdZ/Pa4XH3Wv17rWTmI/syayUggQMQ8ACOA0B1SAlcMoHHAN+3OyxjkfL/Av8I+AfAS3cHc9xK4unBHMv/3ndTwZcDn7L7u4/fHehxiI+Zqj1V9zKHqdrVfZZA83lxN0r1ivm8cV47fK5XZF7d2+gVvVL1ir1cr+gVuN2hj95/jrjjxtrUdShVt728v5fLvJ+5+ZT5yKqU6hd1+yyx6nO9oleuulfca7nuVz2uV/q9IvN+5qnrvl7p94rM+5mbT5m7Zznef18xn+azmk+9oleqXnGvpVf0yvGu++bTfJpP87n8EuDZX6n7xFTd9vL+Xi7zfubmU+Yja1WyX0Y+p7USkMAkAh7AMQmkw0jgyAi8M/BdwJvfpGs5mOO7gf8MvAJ4NfBLwK/fQv+DgYcDXwwsh248DPgPwCcBP3nAz5uqPVX3MpWp2tVtPqutKNUr5rN/HdIrMrevHO8+0XyaT/NpPqseGKlL7S3q9l6o6vNUr3gv5Lpf9bhe6feKzPuZ28tlXu2JekWvVL1iL9creuV4n7GYT/NpPs3niAeqtan7xFTd9vL+Xi7zfubmU+ZXfQ2yr/R7XOb9zO3lMq/2cvOpV/SKzypGPFCtTV2HUnXby/t7ucz7mZtPmVfXoOR8jnxGayUggUkEPIBjEkiHkcAREVhyvfyW4d8GfCHwEee0LX//BuC1wM8CrwJ+AfjF3d8vB3G8DrgbeH/gfwHeArh393cfDfyz3fiH+Mip2lN1L3OYql3d5rPag1K9Yj771yG9InP7yvHuE82n+TSf5rPqgZG61N6ibu+Fqj5P9Yr3Qq77VY/rlX6vyLyfub1c5tWeqFf0StUr9nK9oleO9xmL+TSf5tN8Lt/PM/srdZ+Yqtte3t/LZd7P3HzKvLpW6RW9UvWKvVyv6BXvhbwXOkuB66c90Z54vD3RfJpP82k+RzxQrU3tLam6k+8/q56yTgISmEzAAzgmA3U4CRwZgScAzwKWgzOeDDzqNvqWAzbeBDwUuHaLmuX15TCPz2v8fKnaU3UvU5uqXd3ms9qaUr1iPk8Ogupch/SKzO0rZwSObZ9oPs2n+TSfVQ+M1KX2FnX37hHdl/evQTLvZ57aV/RKv1dk3s/cfMq8ur/VK3ql6hV7uV7RK8f7jMV8mk/zaT5HPFCtTd0npuq2l/f3cpn3MzefMr/qa5B9pd/jMu9nbi+XebWXm0+9old8VjHigWpt6jqUqtte3t/LZd7P3HzKvLoGJedz5DNaKwEJ7EnAAzj2BOjlEggh8PbAhwLPBJ4BPBZ4xE77cnLsrXrB9d1hHN8HfBHwTZf0WVO1p+pepjlVu7r7QypzmVcJ6JUqqXl1Mp/HsjJSKm/X/crszq9J9Yu653thbUSZrxGa/7rM5zO9aMRU3q6fvT45fbdUv6i73y8yl3mVgF6pkppXJ/N5LCsjpfJ2r1WZ3fk1qX5R93wvrI0o8zVC81+X+XymPqs4I3AM3xOS6nH3LL3ZTOadrN186vMqAb1SJTWvLpV5qm57+TzvjoyU6hd1j8zynFqZz+E4MorMR2jtX5vK2/Vz/7nfMkKqX9S9Zbb3u0bm+/HbcrXMt1Dbfk0qb9fP7XO+z5XJftnnc3utBCRQIOABHAVIlkggmMA1YDlgY/mzfN0NPA54GvBuwFOAtwUeCbxx92e5Zqn7L8A3Aj8E/OIlMEjVnqp7meJU7eruD6jMZV4loFeqpObVyXwey8pIqbxd993fVvx9WpPq81Td5tN8mk+fVYx4oFprT+zvLanMU3W7fvZ7XOb9zM2nzF33j3efaD7Np/k0n1UPjNSl9hZ1j8zynFqZz+E4MorMR2jtX5vK2/vm/j2izPuZm0+ZV7u8XtErVa/Yy/WKXjneZyzm03yaT/M54oFqbeo+MVW3vby/l8u8n7n5lHl1DUrO58hntFYCEtiTgAdw7AnQyyVwRQg8AnjL3cEbrwLecNPnWnrF6SEex/aRU7Wn6l7mP1W7uvvTK3OZVwnolSqpeXUyn8eyMlIqb9f9yuzOr0n1i7rne2FtRJmvEZr/usznM71oxFTerp+9Pjl9t1S/qLvfLzKXeZWAXqmSmlcn83ksKyOl8navVZnd+TWpflH3fC+sjSjzNULzX5f5fKY+q+hluvZuqR53z7I2s/Nf1yvzma6NKPM1QvNfT2WeqttePt/DayPqlTVC81+X+XymayOmMk/VbS9fc+RhXk/1i7oP44er+Jwl1Sv2RD0+QiDV56m6zeeIO+fU6pU5HEdGkfkILWslIIGjIeABHEczFQqRQBuBJfenf5ZDNa7f4p2XU99u9fdtIm/zRqnaU3Uv05CqXd39aZW5zKsE9EqV1Lw6mc9jWRkplbfrfmV259ek+kXd872wNqLM1wjNf13m85leNGIqb9fPXp+cvluqX9Td7xeZy7xKQK9USc2rk/k8lpWRUnm716rM7vyaVL+oe74X1kaU+Rqh+a/LfD5Tn1X0Ml17t1SPu2dZm9n5r+uV+UzXRpT5GqH5r6cyT9VtL5/v4bUR9coaofmvy3w+07URU5mn6raXrznyMK+n+kXdh/HDVXzOkuoVe6IeHyGQ6vNU3eZzxJ1zavXKHI4jo8h8hJa1EpDAURNYGppfEpDA1SRwrIdoVGinak/VvcxJqnZ1VxI1t0bmc3lWRpN5hdK8mlTe9vJ5HqiOpFeqpObVyXwey+pIqcxTddvLq86cW5fqF3XP9UFlNJlXKM2tkflcnmujpfJ2/Vyb2cO8nuoXdR/GDxeNKvNe5qm87eW9Pjl9t1S/qLvfLzKXeZWAXqmSmlcn83ksqyPJvEpqTl0qb/e3c+Z/dJRUv6h7dKb3r5f5/gxHRkjlbS8fmeV5tal+Ufc8D1RHknmV1Lw6mc9jWRkplbfrZ2V259ek+kXd872wNqLM1wjNf13m85leNGIqb9fPXp+cvluyXy6HmO8qgTuUgAdw3KET78e+kgRutfi/JXA/8HrgHmDJ/PL/j+0rVXuq7ttt0BP8kso8VbdeuZxumeoXdff7Rea9zFN528t7fXLRgzn3WoebC/N5OLa3G1nmMq8S0CtVUvPqZD6PZXWkVOaput3fVp05ty7VL+qe64PKaDKvUJpXk8rbXj7PAyMjpfpF3SOzPKdW5nM4jowi8xFa+9em8nb93H/ut4yQ6hd1b5nt/a6R+X78tlwt8y3Utl+Tytv1c/ucb71Sr2wlt/06mW9nt/XKVOapuu3lW52633WpflH3fvO+5WqZb6G23zUy34/f6NWpvF0/R2d6Tn2qX9Q9Z/5HRpH5CK05tanM53x6R5GABDYT8ACOzei8UAJHReB0I/Bw4P2ATwPeDvgF4FXAfwW+affft7uZut0HOu0Thzq4I1V7qu7z85/ml1Tmqbr1yq27oj3x1lxSfZ6q23z251OvyHxk85/qF3U/cJZd96/Wuu/6aS+3l/t86BDPtlw/XT+rvSXVK66frp9Vj+sVvaJX3Gu51zpLgeu+PdGeeLw90XyaT/NpPkc8UK1N7S2pur3/tJdXs6lX9IpeOd5133yaT/NpPn2W6LPEtT5wyO/Z8l7IdWjNf6ev6xW9UvWK+1u9olfc3x5ifzviK2slIIEDEfAAjgOBdVgJXAKBxwJfCnwscKts3wt8CfA5wH2XoO+it0zVnqp7mYtU7eruD6/MZV4loFeqpObVyXwey8pIqbxd9yuzO78m1S/qnu+FtRFlvkZo/usyn8/0Kt7vu372+uT03cxnL/dU3uaz1yfmU96jBFJ7i7pHZ3r/epnvz3B0BJmPEtuvPpW3e6395n3r1al+UffWGd9+ncy3s9t6pcy3ktt2XSpv189t873vVal+Ufe+Mz9+vczHme1zRSpve/k+s7792lS/qHv7nG+9UuZbyW2/Tubb2W25MpW36+eW2d7/mlS/qHv/uR8dQeajxPavl/n+DEdGSOXt+jkyy/Nqk/0yj4IjSUACwwQ8gGMYmRdI4CgJPBL4JuCZwHVgOW3x5q/lNK1fB/5P4NOB1xY+yROBtwZeD7wMWA7xmP2Vqj1V9zJ/qdrVfWP6zOftu1GqV8znA+f00D7XKzKv7mv0il6pesVerlf0ygkB7z9HnLBem7oOpeq2l/f3cpn3MzefMl9ffc4qUv2ibp8lVn2uV/TKVfeKey3X/arH9Uq/V2Tezzx13dcr/V6ReT9z8ylz9yzH++8r5tN8VvOpV/RK1SvutfSKXjnedd98mk/zaT4P8TNDqfvEVN328v5eLvN+5uZT5nfCnmXkM1orAQkciIAHcBwIrMNKoJHAw4HPAF4A3LP7Qaf/BvxTYHnt3YH3AJbTuk4z/yLgLwC/tKLzecDH7Mb9EOBXJn+uVO2pupfpS9Wu7geGz3zeuiGlesV83no+D+lzvSLz6rZGr+iVqlfs5XpFr3j/udyTz753Tl2HUnXby/t7ucz7mZtPmbtnOd49i/k0n9V86hW9UvWKey29oleOd903n+bTfJpPnyWepcD9rT3Rnni8PdF8ms9qPvWKXql6xXshvaJXjnfdN5/m03yaT59V+KziMn++zHsK16HqOqRX9ErVK8n725HPaK0EJHBAAh7AcUC4Di2BJgIfAHwp8C7AzwF/A/hi4Pq59/9dwBcC77c7oGPJ/nIAx/J3y38vv5345q+HAn8X+ITd63cd4POkak/VvUxhqnZ13xhA83n7hpTqFfPZvw7pFZlXtzZ6Ra9UvWIv1yt65YSA958jTlivTV2HUnXby/t7ucz7mZtPma+vPmcVqX5Rt88Sqz7XK3rlqnvFvZbrftXjeqXfKzLvZ5667uuVfq/IvJ+5+ZS5e5bj/fcV82k+q/nUK3ql6hX3WnpFrxzvum8+zaf5NJ/LzxTN/pmh1H1iqm57eX8vl3k/c/Mp8zthzzLyGa2VgAQOSMADOA4I16El0ETgC4DPAa4BnwX8rd37Lvle/m45iGO5GX4E8CLgE3ev/wrwycC3AHcD996k93HAlwMfCnwf8N4H+Dyp2lN1L1OYql3dNwbQfN6+IaV6xXz2r0N6RebVrY1e0StVr9jL9Ype8f7zEPfOqetQqm57eX8vl3k/c/Mpc/csx7tnMZ/ms5pPvaJXql5xr6VX9Mrxrvvm03yaT/Pps8SzFLi/tSfaE4+3J5pP81nNp17RK1WveC+kV/TK8a775tN8mk/z6bMKn1Vc5s+XeU/hOlRdh/SKXql6JXl/O/IZrZWABA5IwAM4DgjXoSXQROC7gfcFXgp8DPDycwdv3CzhLYCvBj5s98J/313zY7vTKu8Dlr6wHNjxO4AXAu8OvAT44wf4PKnaU3UvU5iqXd1gPmtNKNUr5vPk1OROn+sVmde6Su7aaV/p97jM+5nby2Ve7eXmU6/olRsJ+HxoxBG3r01dh1J128v7e7nM+5mbT5lXVyi9oleqXrGX6xW94r3QIf6dP3UdStVtL+/v5TLvZ24+Ze6e5Xj3LObTfFbzqVf0StUr7rX0il453nXffJpP82k+fZZ45gH3t/ZEe+Lx9kTzaT7vhHyOfEZrJSCBAxLwAI4DwnVoCTQReB3wSOBrgWcDb1x536cAXwe8267u64FPAu7ZHb6x/PVyAMdymMdfBx4PfCrw9w7weVK1p+pepjBVu7pPDscxn+uNKNUr5rN/HdIrMl/vKCcVekWvVL2S7JdUn6fq1iv9fUXm/czNp8xdPx9I4FieyZlP82k+zafP+s88kNoTU3W7L+9fg2Tez9x8yty9lnst91r5ey3XT3u5vfx4e7n5NJ/m83jz6b2Q+TSf5tN7Ie+FFgKX9TMJqetQqm735f3rvsz7mZtPmbu/dX/r/tb97WXub0d6kLUSkMABCXgAxwHhOrQEGgi8LfAzu0M3lhMnn1N8zw8DvhJ4a+A68DnAF+2uXfrCcgDHZwGfCyy/FfU9gf9cHLtalqo9VfcyL6na1W0+r3pfMZ/961BqX9EreqXaD/VKv1dk3s/cXi5ze+LtCVz2Pb/5NJ/m03z6LPHMA/ZEe2K1J+oVvaJXXD9dP/PXT3u5vbzay32WqFf0yvGu++bTfJpP83mI75NL3Sem6raX28vt5fZye3n+MxZ7eX8vl3k/c/daMnfPcrx7FvNpPs2n+fTfbb2nuOyfuR3pQ9ZKQAIHJOABHAeE69ASaCDwXsB3AI8E/g/gTwHXdodqrL39cujGF+6Kfhb4BOA7z120jPcZwF3AI4BfXxtw8PVU7am6l+lJ1a5u81ltL6leMZ/QvQ7pFZnbVy4mcJn7RPNpPs2n+fT+88wDqT0xVbf78v41SOb9zM2nzKt7LfOpV/SK+3L35fn7cnu5vdxefry93HyaT/NpPg/xfTip9/ypuu3l/b1c5v3MzafMq3sWvaJXql6xl+sVveK9kPdCPnf2+xJHOmG+X1L3iam63Wv177Vk3s/cfMp8ZCVN9svI57RWAhI4IAEP4DggXIeWQAOBZwJfBjwR+BvAn9kdmHHfBe+95P5+4MHAPwCetav9D8DHAq8BHgW8ZPfa8kPRyymOs79StafqXuYvVbu6wXzWOlCqV8znyfx2+lyvyLzWVXLXTvtKv8dl3s/cXi7zai83n3pFr9yagM+HRpzxwNrUdShVt728v5fLvJ+5+ZR5dWXSK3ql6hV7uV7RK94LHeLf+VPXoVTd9vL+Xi7zfubmU+buWY53z2I+zWc1n3pFr1S94l5Lr+iV4133zaf5NJ/m02eJZx5wf2tPtCceb080n+bzTsjnyGe0VgISODABD+A4MGCHl8CBCbzb7hCN3wb8rd0BHPcU3nM5QXY5pOOpwDcAy/XL13KYx6fv/v6FwAcB/xr4kMKYoyWp2lN1L/OTql3d5rPaX1K9Yj771yG9InP7yu0JXPY+0XyaT/NpPr3/PPNAak9M1e2+vH8Nknk/c/Mp8+pey3zqFb3ivtx9ef6+3F5uL7eXH28vN5/m03yaz0N8H07qPX+qbnt5fy+XeT9z8ynz6p5Fr+iVqlfs5XpFr3gv5L2Qz50v8+dX3LO4DlXXIb2iV6pecX+rV/SK+9tD7G9HfGWtBCRwYAIewHFgwA4vgQMTuBv4ceBxwH8CPgL4ueJ7nv5w5ccCXwE8EngT8CzgZ4B/uDuI4wXA84pjjpSlak/VvcxNqnZ1m89qb0n1ivnsX4f0isztKxcTuMx9ovk0n+bTfHr/eeaB1J6Yqtt9ef8aJPN+5uZT5tW9lvnUK3rFfbn78vx9ub3cXm4vP95ebj7Np/k0n4f4PpzUe/5U3fby/l4u837m5lPm1T2LXtErVa/Yy/WKXvFeyHshnzv7fYkjnTDfL6n7xFTd7rX691oy72duPmU+spIm+2Xkc1orAQkckIAHcBwQrkNLoIHAkuGXA4/fvdc7AK/c8L5/Ffizu+t+CPg24KOAJ+8O5PinG8ZcuyRVe6ruZT5StavbfK71k9PXU71iPqF7HdIrMrevVAnolTop91r28rpbUtehVN3utezl9XTay7t7ufk0n+azTsB81lml7llSddvL7eX1dLrXspfX3ZLaE1N128v7e7nM+5mbT5nXVyH3LN17FvNpPs1nnYD5rLNK7S3q9nvkqi5P9Yr3Qq77VY/rlX6vyLyfub1c5vbEOgHvheqsUntLqm7XT3t5PZ0+d+7u5cn5HPGVtRKQwIEJeADHgQE7vAQOTGA5jeujgY8DlsM3vgb40g3v+dbAPwY+aHftrwHLCaMPBZ4C/NiGMdcuSdWeqnuZj1Tt6jafa/3k9PVUr5hP6F6H9IrM7StVAnqlTsq9lr287pbUdShVt3ste3k9nfby7l5uPs2n+awTMJ91Vql7llTd9nJ7eT2d7rXs5XW3pPbEVN328v5eLvN+5uZT5vVVyD1L957FfJpP81knYD7rrFJ7i7r9Hrmqy1O94r2Q637V43ql3ysy72duL5e5PbFOwHuhOqvU3pKq2/XTXl5Pp8+du3t5cj5HfGWtBCRwYAIewHFgwA4vgWYCDwHeuPE93xv4ZuA33XT9tY3jjV6Wqj1V9zI/qdrVfZYu83lxp0n1ivm8cV47fK5XZF7dt+gVvVL1ir1cr+iViwl4/znikLPa1HUoVbe9vL+Xy7yfufmU+ciKlOoXdfsssepzvaJXrrpX3Gu57lc9rlf6vSLzfuap675e6feKzPuZm0+Zu2c53n9fMZ/ms5pPvaJXql5xr6VX9Mrxrvvm03yaT/M54oFqbeo+MVW3vby/l8u8n7n5lHl1DUrO58hntFYCEphMwAM4JgN1OAlcAoElx8uf6xPe+48BLwbeADwU+FHgaRPGvd0QqdpTdS/zkKpd3WA+a80o1Svm82R+O32uV2Re6yq5a6d9pd/jMu9nbi+XebWXm0+9oldGCPTuy82n+RxxZ+ran6rbfJpP8zlCoHf9tK+YzxF3pvpF3b19xXW/v6/IvJ95al/RK/1ekXk/c/Mpc/e3IwR694nm03xW3alX9ErVK+619IpeGSHQu+6bT/M54s7UtT9Vt/k0n+ZzhIDrZ5VWak9M1W0v7+/lycyrObZOAhI4MAEP4DgwYIeXQAiBpRfcDzwY+DvAs3e6vwP40CP/DKnaU3WfbkAT/ZLKz5rprQAAIABJREFUPFW3Xrmc5pnqF3X3+0XmvcxTedvLe31y+m6pflF3v19kLvMqAb1SJTWvTubzWFZHknmV1Jy6VN7ub+fM/+goqX5R9+hM718v8/0ZjoyQyttePjLL82pT/aLueR6ojiTzKql5dTKfx7IyUipv18/K7M6vSfWLuud7YW1Ema8Rmv+6zOczvWjEVN6un70+SeadrN186vMqAb1SJTWvTubzWFZHSmWeqtv1s+rMuXWpflH3XB9URpN5hdLcGpnP5bk2Wipv18+1mT3M68l+OQwRR5XAHURgaQB+SUACV4/Aku3TBX45KKHydVr/lsAHAu8JfDfw7ZWLJ9akak/VfboBT/RLKvNU3XrFnjjS6lN9nqrbfPbnU6/I3J54awLHcE9hPs2n+TSfIx6o1qb2llTd7m/t5dVs6pV+r8i8n7m9XObVnqhX9ErVK/ZyvaJXjve+2XyaT/NpPkc8UK1N3Sem6raX9/dymfczN58yv+prkH2l3+My72duL5d5tZebT72iV3xWMeKBam3qOpSq217e38tl3s/cfMq8ugYl53PkM1orAQlMIuABHJNAOowELpnA6Q+6XSTjrt2hHNeB5VCOtYM5HgTcByz1h/xK1Z6q+3SzuDb/x+iXVOapuvXKjZ3PnnjxSpDq81Td5rM/n3pF5iP74VS/qPtsll33r+a67/ppL7eXnxA4xvt982k+zaf5HPFAtdb9rftbveK6X/VAtS61r7jXcq9V9bhe6feKzPuZ28tlbk883vtP82k+zaf5HPFAtTa1t6jb51pX3ePeC7nuVz2uV/q9IvN+5qnrvl7p94rM+5mbT5m7Z/FZxYgHqrWpvSVVd/L6WfWUdRKQwAEJeADHAeE6tAQaCJzfwDwM+A3gacDbA28Cfh74SeD1DVpG3yJVe6rumzeNSX5JZZ6qW6+MdrM59al+Ufec+R8ZReYjtPavTeVtL99/7reMkOoXdW+Z7f2ukfl+/LZcLfMt1LZfk8rb9XP7nO9zZapf1L3PrG+7VubbuO1zlcz3oTd+bSpv18/xud73Cr2yL8Hx62U+zmzfK1KZp+q2l+/r2G3Xp/pF3dvme5+rZL4PvW3Xynwbt61XpfJ2/dw64/tdl+oXde8371uulvkWatuvSeVtL98+5/tcmeoXde8z69uulfk2bvtcJfN96I1fm8rb9XN8rmdckeoXdc+Y/bExZD7Ga0a1zGdQrI+Rytv1sz7HMyuT/TKTg2NJQAJ7EFgaiV8SkEA2gacAHwA8C3gG8CvAfcBywMKjd//9y8CPAd8DfD/w34BXAvfvPvry20+Xa7q/UrWn6l7mN1W7urvTqVfsiXXPmc86q1mVMp9FsjZOKm/Xffe3NYefVKX6PFW3zM2n+TzxgM8qRpywXmtP7O8tqcxTdbt+9ntc5v3MzafM11f87Hs4+0q/x2Xez9xeLvNqLzefekWv+HxoxAPV2tR1KFW3vby/l8u8n7n5lPlVX4PsK/0el3k/c3u5zKu93HzqFb3is4oRD1RrU9ehVN328v5eLvN+5uZT5tU1KDmfI5/RWglI4IAEPIDjgHAdWgIHJnA38OnAZwG/dfC9fhL4LuDbgG+5hMM3UrWn6l7skapd3f03RzKXeXVJ0St6Ra/cnoB7rao7bqxL7SvutfrvKfSKzEe6TKpf1O1eq+rzVK+4ftrLqx7XK/1ekXk/c3u5zKs9Ua/olapX7OV6Ra9cTMDntyMOOatNXYdSddvL+3u5zPuZm0+Zj6xIqX5Rt8/6qz7XK3rlqnvFvZbrftXjeqXfKzLvZ5667uuVfq/IvJ+5+ZS5e5bj/fcV82k+74R8jnxGayUggQYCHsDRANm3kMCBCLwI+OPnxr4HeNDu/78GeCPwcOAxu8MXbpZxP/CLwPcBXwF8K3DvgbTePGyq9lTdC/9U7eo2n9W2lOoV89m/DukVmdtXjnefaD7Np/k0n1UPjNSl9hZ1ey9U9XmqV7wXct2velyv9HtF5v3M7eUyr/ZEvaJXql6xl+sVvXK8z1jMp/k0n+ZzxAPV2tR9Yqpue3l/L5d5P3PzKfOrvgbZV/o9LvN+5vZymVd7ufnUK3rFZxUjHqjWpq5Dqbrt5f29XOb9zM2nzKtrUHI+Rz6jtRKQQAMBD+BogOxbSOAABD4B+ErgLmDJ8Q8A3wb8C05OAl8O3VgO33jw7r/fGngC8ETg8cDy/x92TtcrgefvDuJYrj/kV6r2VN3LXKZqV/dJEs3nekdK9Yr5PJvbLp/rFZmvd5STCr2iV6peSfZLqs9TdeuV/r4i837m5lPmrp/H+0zOfJpP82k+RzxQrU3tLer2ufNV97j3Qq77VY/rlX6vyLyfeeq6r1f6vSLzfubmU+buWXxWMeKBam1qb1G3zyquusfda7nuVz2uV/q9IvN+5qnrvl7p94rM+5mbT5m7Z/FZxYgHqrWpvSVVd/L6WfWUdRKQQCMBD+BohO1bSWASgbcCvh14T05O23wB8HkrYy8HcTwK+E3AOwG/A/h9wJNvuu5PAC+epPNWw6RqT9W9zEGqdnWbz2orSvWK+exfh/SKzO0rtyZwDPtE82k+zaf5rHpgpC61t6jbe6Gqz1O94r2Q637V43ql3ysy72duL5d5tSfqFb1S9Yq9XK/oleN9xmI+zaf5NJ8jHqjWpu4TU3Xby/t7ucz7mZtPmV/1Nci+0u9xmfczt5fLvNrLzade0Ss+qxjxQLU2dR1K1W0v7+/lMu9nbj5lXl2DkvM58hmtlYAEGgl4AEcjbN9KApMIfCDwb4H7ga8BPhm4C7hvN/6S6+XP8vry53Zfyw9bPhP4LOCDgevANeB9ge+dpPXmYVK1p+pe+KdqV7f5rLahVK+YT+heh/SKzO0rJ3vEY9wnmk/zaT7NZ9UDI3WpvUXd3gtVfZ7qFe+FXPerHtcr/V6ReT9ze7nMqz1Rr+iVqlfs5XpFrxzvMxbzaT7Np/k8xPfhpO4TU3Xby/t7ucz7mZtPmVf3LHpFr1S9Yi/XK3rFeyHvhc5S4PppT7QnHm9PNJ/m03yazxEPVGtTe0uq7uT7z6qnrJOABJoJeABHM3DfTgITCPw54PnAK4DnAt9y0wEcF73F+cyfHs7xrsBfAj5qd+FyuMdyIMchvlK1p+pe5jBVu7pPEmg+1ztRqlfM59khUV0+1ysyX+8oJxV6Ra9UvZLsl1Sfp+rWK/19Reb9zM2nzF0/LyZwmc/kzKf5NJ/mc8QD1drU3qJunztfdY97L+S6X/W4Xun3isz7maeu+3ql3ysy72duPmXunsVnFSMeqNam9hZ1+6ziqnvcvZbrftXjeqXfKzLvZ5667uuVfq/IvJ+5+ZS5exafVYx4oFqb2ltSdSevn1VPWScBCTQT8ACOZuC+nQQmEHgJ8GzgpcAnAz9w7jeZbx3+8cC3A08FXgZ8OPDyrYNdcF2q9lTdy1Skalf3WZDM58XNKNUr5vPGee3wuV6ReXVro1f0StUr9nK9oldGCLi/rdJKXYdSddvL+3u5zPuZm0+ZV9cg86lX9MoIgd79rb3cfI64M9Uv6u7tK677/X1F5v3MU/uKXun3isz7mZtPmbu/HSHQu080n+az6k69oleqXnGvpVf0ygiB3nXffJrPEXemrv2pus2n+TSfIwRcP6u0Untiqm57eX8vT2ZezbF1EpBAMwEP4GgG7ttJYAKBrwWexckJg08EfnrPAzgeBNwD/KXdn58DPh34pglabx4iVXuq7oV/qnZ1n6THfK43olSvmM+zue3yuV6R+XpHOanQK3ql6pVkv6T6PFW3XunvKzLvZ24+Ze76OUKg957ffJrPEXem+kXdvX3FvZZ9xb4yQsB8VmnZy/XKVfeK66frZ9XjeqXfKzLvZ5667uuVfq/IvJ+5+ZR5dc+iV/RK1Sv2cr2iV0YI+HyoSit1HUrVbS/v7+Uy72duPmVeXYPMp17RKyME3N+O0/IKCUjgqAh4AMdRTYdiJFAi8Fzgr+0O3fhM4IWlq25fdA24Dnw28HnAmwEfCnzHnuPe6vJU7am6lzlI1a7ukwSZz/VGlOoV83k2t10+1ysyX+8oJxV6Ra9UvZLsl1Sfp+rWK/19Reb9zM2nzF0/Rwj03vObT/M54s5Uv6i7t6+417Kv2FdGCJjPKi17uV656l5x/XT9rHpcr/R7Reb9zFPXfb3S7xWZ9zM3nzKv7ln0il6pesVerlf0yggBnw9VaaWuQ6m67eX9vVzm/czNp8yra5D51Ct6ZYSA+9txWl4hAQkcFQEP4Diq6VCMBEoE3gv4XuBNwGuAjwP+M3Df7of17weWP6Nfy+EbyyEcywEcTwZePjpAoT5Ve6ruZUpStav7xkCZz9s3mFSvmM8Hzumhfa5XZF7YqvzPEr2iV6peSfZLqs9TdeuV/r4i837m5lPmrp8nz+OO8Zmc+TSf5tN8+qz/LAWpPTFVt/vy/jVI5v3MzafM3Wu513Kvlb/Xcv20l9vLj7eXm0/zaT6PN5/eC5lP82k+vRfyXuiiPuD3gt6ajuun66frp+un66frp+vnSCc8qXX9dP0ccU2yX0Y+p7USkEATAQ/gaALt20hgIoFHA18FfORuzJ8G/nfgn214j6UHnP5gwHcB7we8FnjrDWNVLknVnqp7mZNU7eoG81npKrkeN58n89vp89S+olf0Sq0bnlSl+jxVt8zNp/kcIdC77ptP8zniztR1KFW3+TSf5nOEgOtnlVZqT0zVbS+3l1ezqVf6vSLzfub2cpnbE0cI9O5vzaf5HHFnql/U3dtX3Gv19xWZ9zNP7St6Ra+47o8QcP2s0krtiam67eX9vVzm/czNp8yra5D51Ct6ZYSA+9sqrdR1KFW3vby/lyczr+bYOglIoJmAB3A0A/ftJDCJwLsD3wQ87tx4Pwh8HfDdwI8DvwTcc8H7XQOu715fDvD4EuBe4FuBj5mk81bDpGpP1b3MQap2dZ8kyHyuN6RUr5jP/nVIr8h8vaOcVOgVvVL1SrJfUn2eqluv9PcVmfczN58yd/083mdy5tN8mk/zOeKBam1qb1G3z52vuse9F3Ldr3pcr/R7Reb9zFPXfb3S7xWZ9zM3nzJ3z+KzihEPVGtTe4u6fVZx1T3uXst1v+pxvdLvFZn3M09d9/VKv1dk3s/cfMrcPYvPKkY8UK1N7S2pupPXz6qnrJOABBoJeABHI2zfSgKTCfxe4PnAO+/GvR94HfATwEuB5UCOlwGvBl4PvAm4D3gD8FrgzYBljI8APgp4KPA/gM8Bvnmy1puHS9Weqnvhn6pd3eaz2o5SvWI++9chvSJz+8rx7hPNp/k0n+az6oGRutTeom7vhao+T/WK90Ku+1WP65V+r8i8n7m9XObVnqhX9ErVK/ZyvaJXjvcZi/k0n+bTfI54oFqbuk9M1W0v7+/lMu9nbj5lftXXIPtKv8dl3s/cXi7zai83n3pFr/isYsQD1drUdShVt728v5fLvJ+5+ZR5dQ1KzufIZ7RWAhJoIOABHA2QfQsJHJDA7waeB/xO4CG3eZ/lsI1XAa8BfgN4BPAE4Brw5sAjz133F4G/ckC954dO1Z6qe2Gfql3dJ8kxn+vNKdUr5vNsbrt8rldkvt5RTir0il6peiXZL6k+T9WtV/r7isz7mZtPmbt+nhA4xmdy5tN8mk/zOeKBam1qb1G3z52vuse9F3Ldr3pcr/R7Reb9zFPXfb3S7xWZ9zM3nzJ3z+KzihEPVGtTe4u6fVZx1T3uXst1v+pxvdLvFZn3M09d9/VKv1dk3s/cfMrcPYvPKkY8UK1N7S2pupPXz6qnrJOABBoIeABHA2TfQgINBD4O+ETgfYC33PB+vwp8AfBlwOs3XL/PJanaU3Uvc5WqXd3ms9prUr1iPvvXIb0ic/vKOoHL2ieaT/O57s6TCr2iV6peSfZLqs9TdeuV/r4i837m5lPmrp/rBLwXWmd0c0Vqb1G3z52rbk/1inst1/2qx/VKv1dk3s/cXi5ze+I6Ae+F1hl5L3RC4LK84vppLx9Jaerar26fVVR9nuoVe7m9vOpxvdLvFZn3M7eXy9yeuE7gsu4/zaf5XHfnWUWqX9Tt/WfV56leSd7fVufGOglI4IAEPIDjgHAdWgINBK4B13fv80jgqcD7A+8LPB14B+B8zu8Dlj8P3l3zP4DvB14MfE+D3vNvkao9VffCPlW7us1ntT2lesV89q9DekXm9pXj3SeaT/NpPs1n1QMjdam9Rd3eC1V9nuoV74Vc96se1yv9XpF5P3N7ucyrPVGv6JWqV+zlekWvHO8zFvNpPs2n+RzxQLU2dZ+Yqtte3t/LZd7P3HzK/KqvQfaVfo/LvJ+5vVzm1V5uPvWKXvFZxYgHqrWp61Cqbnt5fy+XeT9z8ynz6hqUnM+Rz2itBCRwYAIewHFgwA4vgUsksOT77YDHAu8IPAl4FPBG4EeBH9/9NoKXXqLG2711qvZU3cs8pGpXd3+AZS7zKgG9UiU1r07m81hWRkrl7bpfmd35Nal+Ufd8L6yNKPM1QvNfl/l8pheNmMrb9bPXJ6fvluoXdff7ReYyrxLQK1VS8+pkPo9lZaRU3u61KrM7vybVL+qe74W1EWW+Rmj+6zKfz9RnFb1M194t1ePuWdZmdv7remU+07URZb5GaP7rqcxTddvL53t4bUS9skZo/usyn890bcRU5qm67eVrjjzM66l+Ufdh/HAVn7OkesWeqMdHCKT6PFW3+Rxx55xavTKH48goMh+hZa0EJBBJYGl0fklAApkElvwuf66fk7+c5rb83f03/f1Fn/D8CXBdJFK1p+o+vXlL9Esq81TdegXsifWVINXnqbrNZ38+9YrM6x3xZA/uXmuE2H61qbzt5f19Reb9zM2nzEc6fKpf1H3j88iROd9aK3OZV72jV/SKXqkR8BlojVPy/USydnu5vbya0FSvmE/vm6se1yv9XpF5P3N7ucztifW9X/d9nPk0n9V86hW9UvWKey29oleOd903n+bTfJrPEQ9Ua1P3iam67eX9vVzm/czNp8yra1ByPkc+o7USkEADAQ/gaIDsW0igicDp4RvLgRzLARznv251MMfpQR1N8i58m1TtqbqXyUjVru7+xMpc5lUCeqVKal6dzOexrIyUytt1vzK782tS/aLu+V5YG1Hma4Tmvy7z+UwvGjGVt+tnr09O3y3VL+ru94vMZV4loFeqpObVyXwey8pIqbzda1Vmd35Nql/UPd8LayPKfI3Q/NdlPp+pzypOCBzL94Sketw9S282k3knazef+rxKQK9USc2rS2WeqttePs+7IyOl+kXdI7M8p1bmcziOjCLzEVr716bydv3cf+63jJDqF3Vvme39rpH5fvy2XC3zLdS2X5PK2/Vz+5zvc2WyX/b53F4rAQnsScADOPYE6OUSuCQCS3Y/ELgLeA3wKuAXL0nL6Numak/VvcxPqnZ1j6Zr/3qZ789wdASZjxLbrz6Vt718v3nfcrVe2UJtv2tkvh+/LVenMk/VbS/f4tL9r0n1i7r3n/vREWQ+Smz/epnvz3BkhFTerp8jszyvNtUv6p7ngepIMq+SmlOXyttePmf+R0dJ9Yu6R2d6/3qZ789wdASZjxLbrz6Vt+vnfvO+9epUv6h764xvv07m29ltvVLmW8ltuy6Vt+vntvne5yq9sg+9bdfKfBu3fa5KZZ6q216+j1u3X5vqF3Vvn/OtV8p8K7nt18l8O7stV6bydv3cMtv7X5PqF3XvP/ejI8h8lNj+9anM9//kjiABCUwnsDQUvyQggRwCdwMfDXwm8HjgbXfS7wH+K/BVwD8EfvUIP1Kq9lTdiwVStau7P8Ayl3mVgF6pkppXJ/N5LCsjpfJ23a/M7vyaVL+oe74X1kaU+Rqh+a/LfD7Ti0ZM5e362euT03dL9Yu6+/0ic5lXCeiVKql5dTKfx7IyUipv91qV2Z1fk+oXdc/3wtqIMl8jNP91mc9n6rOKXqZr75bqcfcsazM7/3W9Mp/p2ogyXyM0//VU5qm67eXzPbw2ol5ZIzT/dZnPZ7o2YirzVN328jVHHub1VL+o+zB+uIrPWVK9Yk/U4yMEUn2eqtt8jrhzTq1emcNxZBSZj9CyVgISuPIEPIDjyk+xH/AKEXgU8Bzg8y74TK8Bvhb4YuDVxc9+Dbh/96d4yXBZqvZU3csEpWpX943xMp+3bzepXjGfD5zTQ/tcr8i8unHRK3ql6hV7uV7RKycEvP8cccJ6beo6lKrbXt7fy2Xez9x8ynx99TmrSPWLun2WWPW5XtErV90r7rVc96se1yv9XpF5P/PUdV+v9HtF5v3MzafM3bMc77+vmE/zWc2nXtErVa+419IreuV4133zaT7Np/kc8UC1NnWfmKrbXt7fy2Xez9x8yry6BiXnc+QzWisBCVwCAQ/guATovqUENhL4XOALzl17D/Aq4M2BR9805j8B/jDwhpX3ehjwYcAjgB8Bvm+jtrXLUrWn6l7mI1W7us/SZD4v7iypXjGfN85rh8/1iszX9imnr+sVvVL1ir1cr+iVGwl4/zniiNvXpq5Dqbrt5f29XOb9zM2nzEdWqFS/qNtniVWf6xW9ctW94l7Ldb/qcb3S7xWZ9zNPXff1Sr9XZN7P3HzK3D3L8f77ivk0n9V86hW9UvWKey29oleOd903n+bTfJrPQ/zMUOo+MVW3vby/l8u8n7n5lPmdsGcZ+YzWSkACl0DAAzguAbpvKYENBJ4JfAnw23bXfiPwbcDLdv//GcCnAu96buyvAf4ocO8t3m/J/v3AU4B/CLw78B3Ah27QtnZJqvZU3ct8pGpX90mazOdaV8n1uPk8m9sun6f2Fb2iV9Y74VlFqs9TdZtP82k+wfvP+ffOqT0xVbe9vL+Xy7yfufmUuXuW492zmE/zWc2nXtErVa+419IreuV4133zaT7Np/k8xPfhpO4TU3Xby/t7ucz7mZtPmVf3LHpFr1S9Yi/XK3rFeyHvhfK/t89e3t/LZd7P3P2tzN2zHO+exXyazzshnyOf0VoJSOCSCHgAxyWB920lMEjgK4A/ADwUeMHuz6+cG+NBwOOAPwc8G7gPuAt4LvDFt3iva8B14P13B3v8duCv764flLZanqo9VfcyIana1X0SJ/O52lZiPW4+z+a2y+epfUWv6JX1TnhWkerzVN3m03yaT/D+8+Tee+ZXak9M1W0v7+/lMu9nbj5lPrJOpfpF3T5LrPpcr+iVq+4V91qu+1WP65V+r8i8n3nquq9X+r0i837m5lPm7lmO999XzKf5rOZTr+iVqlfca+kVvXK86775NJ/m03we4meGUveJqbrt5f29XOb9zM2nzO+EPcvIZ7RWAhK4JAIewHFJ4H1bCQwQWA7SeCXwNsArgHcFfuPcD+mfH+ptd4dzfCJw7+7PhwHfedP7Ldm/H1jqng+8HfDxwDcM6KqUpmpP1b3MSap2dZ8lynxe3F1SvWI+b5zXDp/rFZlX9irJ2UzWbj7Np/m8kcAx3ceZT/NpPs2nz4fOPJDaE1N1u7/tX4Nk3s/cfMrcvZZ7Lfda7rX8d9tqJ8z3inst1/0Rt6fuE1N1m0/zaT6Pd19uPs2n+TzefLrum0/zaT59ruWziuXnEi7r2VbqOpSq2315/7ov837m5lPm7m/d37q/dX97mfvbkR5krQQkcIkEPIDjEuH71hIoEngq8MPArwEv5OQ37V4Drt90/ekPMz8K+HbgfXev/xfgI4GfucX7PQ/4s8AjgeV9/kdRU7UsVXuq7mVeUrWr+4GpMp+37jSpXjGf/euQXpH5Vd+v2Ff6PS7zfub2cplXe7n51Ct65YyAz4dG3HBxbeo6lKrbXt7fy2Xez9x8yry6SukVvVL1ir1cr+gV74UO8e/8qetQqm57eX8vl3k/c/Mpc/csx7tnMZ/ms5pPvaJXql5xr6VX9Mrxrvvm03yaT/Pps8QzD7i/tSfaE4+3J5pP83kn5HPkM1orAQlcIgEP4LhE+L61BIoEPg74J8Crgc8Fvho4/WGKm4c4PZjjtwDfAzxuV/DlwHOAN527YKldDvT4Y7u/W05xvL+oqVqWqj1V9zIvqdrVbT6vel8xn/3rUGpf0St6pdoP9Uq/V2Tez9xeLnN74o0Ejume33yaT/NpPn2WeOYBe6I9sdoT9Ype0Suun66f+eunvdxeXu3lPkvUK3rleNd982k+zaf5XAjM3pun7hNTddvL7eX2cnu5vTz/GYu9vL+Xy7yfuXstmbtnOd49i/k0n+bTfM5+NuReq7+vJDMf6UHWSkACl0jAAzguEb5vLYEigc8B/r/27j3U+qyu4/ibMXW0QhIZI8OGTDMpLPPWqDh2ESzNLIiCCBWdiMmSIujGOFIKIWFJkDWg1j8VjI1EI4KSM94Jp7KMIi9ppdPFCxZecrzEZvZhDo+Pz1575nd++6zzvAYGmdlrr/3dr/VZ6/f7nTnP1xdVt1ZXVTdWR3/o5nxTbG4CP189uXpNden2n59bverYe+9XXVc9vXpv9ZDBevYZNmvts9a9WZtZa1e3/Tl6tsyaFfuz1r4OyQpz58qXCpyW+0T70/60P+1Pz593ZGDWM3HWut2Xr38NYr6+uf3JfPRey/6UFVlxX+6+fP77cme5s9xZfnrPcvvT/rQ/7c+T+D2cWZ/5Z63bWb7+Wc58fXP7k/noPYusyMpoVpzlsiIrnoU8C/m58yH//Ip7Fteh0euQrMjKaFbc38qKrLi/PYn7231yZSwBAgcU0IDjgPg+msCgwIurn6/uUT2+etuOBhybaY/+cOW11TXbz/lg9cPV32z/+Vurl1dXVNdXPzpYzz7DZq191ro3azNr7eq2P0fPllmzYn/W2tchWWHuXDm/wGm4T7Q/7U/70/70/HlHBmY9E2et2335+tcg5uub25/MR++17E9ZkRX35e7L578vd5Y7y53lp/cstz/tT/vT/jyJ38OZ9Zl/1rpCbX5SAAAcxUlEQVSd5euf5czXN7c/mY/es8iKrIxmxVkuK7LiWcizkJ87H/LPr7hncR0avQ7JiqyMZsX9razIivvbk7i/3SdXxhIgcEABDTgOiO+jCQwK/FL1a9W9q0dVtwy+bzPsntWfVU/ZvufG6lnVR6ofqF5SPbTadHD8zT3mHR06a+2z1r1Zl1lrV3fZn2Mny6xZsT9vX981cy4rzMdOlXmvnc6V9TPOfH1zZznz0bPc/pQVWbmwgJ8P7ZOQO8bOeh2atW5n+fpnOfP1ze1P5qNXJFmRldGsOMtlRVY8C53Ef+ef9To0a93O8vXPcubrm9ufzN2znN57FvvT/hzdn7IiK6NZca8lK7Jyeq/79qf9aX/an36WOP/vgzjL1z/Lma9v7vmT+cVwz7LPdzSWAIEDCmjAcUB8H01gUOAZ1aurz1U/U/3B4PuOhj28uqF6YHVJ9RvVNdVzq1+vLqueXL1hz3lHhs9a+6x1b9Zk1trVbX+OnCkzZ3zm2u1P+/Os789ZM+5ccX87ujdlRVYuhqzI+fo5d/1kfjGcLbPmfNa6neXrnyvM1ze3P5mPXj9lRVZGs+IslxVZ2S3gv5XvNjp3xKzXoVnrdpavf5YzX9/c/mS+z9Vo1ryo2+9VjOZcVmTlrGfFvZbr/mjGZWX9rDBf33zW676srJ8V5uub25/M3bPsFjjUf1+xP+3P3em8Y8TMednnexpLgMCBBDTgOBC8jyWwh8ATqpu34/+0+vFtI40v7DHHVdVLq0ur27ZNGh7Z7f+P7/eqHlDdusd8o0NnrX3WujfrMmvt6rY/z/q5Yn+ufx2a9VyRFVkZPQ9lZf2sMF/f3FnO3Jk4JnCIZ3770/4cS+fto2bNi7r9rGI057Nmxf50lo9mXFZkRVbGBA5xX25/2p9j6XRfbn/ukxTPcH6vYjwvnoVch0bTIiuyMpoV97eyIitjAoe4v3WW259j6fT8aX/ukxTPn54/x/My63Vo1rrdl69/3We+vrn9yXz8KuSeZe17FvvT/rwY9uc+39FYAgQOKKABxwHxfTSBQYFHVX9UfXP1rur772SzjFdVP7n9zPdU/149qfpk9dWDtew7bNbaZ617sz6z1q5u+3P0fJk1K/ZnrX0dkhXmzpVRAVkZl3Kv5SwfT8us16FZ63av5Swf353O8rXPcvvT/rQ/xwXsz3GrWe9ZZq3bWe4sH9+d7rWc5eNpmfVMnLVuZ/n6Zznz9c3tT+bjVyH3LGvfs9if9qf9OS5gf45bzXq2qNvvyI2mfNaseBZy3R/NuKysnxXm65s7y5k7E8cFPAuNW816tsxat+uns3x8d/q589pn+cz7c59cGUuAwAEFNOA4IL6PJjAocPdt842HV19Zvb76l2qzf784MMcl1Req+1evrb5j+55PV/eq/rp65MA8d2bIrLXPWvdmjWatXd325+gZM2tW7M/1r0Oywty5slvgUPeJ9qf9uTudt4+QFVkZzcrMeZk157PWLSvrnyvM1ze3P5m7fu4W8Cy02+jcEbOeLer2c+fRtM+aFfdarvujGZeV9bPCfH1zZzlzZ+JuAc9Cu408C90ucKisuH46y/fZpbNe+9XtZxWjOZ81K85yZ/loxmVl/awwX9/cWc7cmbhb4FDPn/an/bk7nXeMmDUv6vb8OZrzWbMy8/3t6NoYR4DAgQU04DjwAvh4AnsKHO3ZkcYbx6f+iupz1fdWf1Ldt/pMdWn1iuo5e9ZxZ4bPWvusdW/WaNba1W1/jp4xs2bF/lz/OiQrzJ0rX17g0PeJ9qf9aX/an6MZ2GfcrGeLuj0LjeZ81qx4FnLdH824rKyfFebrmzvLmY+eibIiK6NZcZbLiqyc3p+x2J/2p/1pf+6TgdGxs94nzlq3s3z9s5z5+ub2J/Ozfg1yrqyfcebrmzvLmY+e5fanrMiKn1Xsk4HRsbNeh2at21m+/lnOfH1z+5P56DVo5v25z3c0lgCBlQU04FgZ3McROKDA0R+u/OXqRcfquLr6vQPWNfLRs9Y+a92bNZm1dnWP7KhlxzBf1nNkNuYjSsuNmdXbWb5cBkZnkpVRqeXGMV/OcnSmWc1nrdtZPprMZcfNmhd1L5uDkdmYjygtO4b5sp67ZpvV2/Vz18qezOuz5kXdJ5OHC83KfF3zWb2d5evm5OjTZs2LutfPC3PmowKyMiq13Djmy1mOzsR8VGqZcbN6u79dZv33nWXWvKh735W+6+OZ33XDfWaY1dtZvs8qLzd21ryoe7kMjM7EfFRquXHMl7McmWlWb9fPkdVdfsyseVH38lnYNSPzXULLv858edMLzTirt+vnujk5+rSZ83IYMZ9K4CIR0IDjIlloX5PAMYF7Vr9VPb56WHVF9c5JhGatfda6N7GYtXZ1r7+pmTMfFZCVUanlxjFfznJkplm9XfdHVnf5MbPmRd3LZ2HXjMx3CS3/OvPlTS8046zerp/r5uTo02bNi7rXzwtz5qMCsjIqtdw45stZjsw0q7d7rZHVXX7MrHlR9/JZ2DUj811Cy7/OfHlTP6tY13TXp82acfcsu1Z2+ddlZXnTXTMy3yW0/Ouzms9at7N8+QzvmlFWdgkt/zrz5U13zTir+ax1O8t3JfJkXp81L+o+mTycxZ+zzJoVZ6KM7yMwa85nrdv+3Cedy4yVlWUc95mF+T5axhIgcKoFNOA41cujOAInJnDv6v7V5dVbqttO7JOWn3jW2mete7OCs9au7uX3364Zme8SWv515subXmjGWb2d5evmZGbvmWu3P+V8VEBWRqWWG8d8OcvRmWY1n7Vu18/RZC47bta8qHvZHIzMxnxEadkxzJf13DXbrN6un7tWdvnXZWV5010zMt8ltPzrs5rPWrezfPkMj8w4a17UPbK6y45hvqznyGzMR5SWGzOrt+vnchnYZ6ZZ86LufVZ5mbHMl3EcnWVWb2f56AovO27WvKh72RyMzMZ8RGnZMcyX9dw126zerp+7VvZkXp81L+o+mTxcaFbmzEcFZGVUarlxzJezHJ1pVvPR72ccAQJ7CGjAsQeWoQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAmdPQAOOs7emvhEBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMAeAhpw7IFlKAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwNkT0IDj7K2pb0SAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQILCHgAYce2AZSoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgcPYENOA4e2vqGxEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECOwhoAHHHliGEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQInD0BDTjO3pr6RgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAnsIaMCxB5ahBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJBD6wrfPySepVJgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgoAIacByU34cTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBE5EYIkGHF+sbq6uPJEKTUqAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOEUCGnCcosVQCgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgIQENOBaCNA0BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBwcQhowHFxrLNvSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFxcAhpwXFzr7dsSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECd1FAA467COjtBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEDCWx+7+Pq6qerB1UfrW6ofrV617amy7f/e5/qquop1UOqy6pPVG+vXly949h3eGb1yi/znV5YXXvstcdUv1g9vrpv9Z/Va6vNuA8fyMXHEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgT2FtCAY28ybyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQInAqB36l+trq1ur66rXp69fHqAdVnq6MGHI+t3rT9+33bMQ+sfrC6Z/W06nXbb/Xt1Q9VL6g+WL3q2Le9qdr8vfnrWdV11f9Vf179W/Xg7ZybRhybz/zXUyGlCAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDADgENOESEAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDCfwBXVW6tNM41HVx/bfoVLqzdum19smmccNeC4T3X36iPnfNWvr/6q+kT1Lee89sXq5urK8/A8pHr3tsHGE6sPHRvz3dXrt005njEfrYoJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBi1FAA46LcdV9ZwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGB2geuq51TPrl55zpfZNMzYNOE43oDjQt/3ZdXzqm/YNtQ4GnuhBhwvrZ5fPbW68TyT31A9rfqa6n9nx1Y/AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgcPYFNOA4+2vsGxIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJnT+CW6hHVg6r3n/P17lZ9pvpQdfmx1x5X/Vz1XdVl1T3Oed8V1duP/bsLNeB4R/WY6iXVp87D+33VZr5HVpta/UWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQONUCGnCc6uVRHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgvALv3Tbf+Krqk+cZ8R/bJhxHDTieUV2//Xevr963fd8XqiurJ1ZPqm46NteFGnC8p/qmgbXZzH3zwDhDCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIHFdCA46D8PpwAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgcKcEbqkesW3C8f5zZrjbttHGh6qjBhzv3o7dvOcfzxn/+9VVezbgeGf1ndV9qv+5U9/AmwgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECp0hAA45TtBhKIUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgMClxXPad6dvXKc95zZfXG6oPHGnB8pvqHbdOM48Mvqf6+eth5GnB8vnpb9YTz1PS71dXVU6sbB2s2jAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBwagU04Di1S6MwAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMCXFXhc9ZbqfdWjq49tR166bb7x2HMacPxT9XXVQ6sPb8dufm/k2uqa7T8/qbrp2Cf+V/WpY008jhezmefvqg9sm3D88zmV3qN6TPVma0iAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQmEFAA44ZVkmNBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEvFXhZ9bzq1ur66rbq6dXHqwdUnz3WPOOnqpdXm6Yar96O3TTxeFj1hupp1bkNOP64+rHqL6pbqs9Vb9r+vanmJ6pXVJvfP3ldtWnCcffqgdUTqv/eNvywdgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBUy+gAcepXyIFEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOK7D5vY+rt39/Y/XR6obqV6p3bd9x+bF3PrN6fvXg6tPVm6trqh+pXnCeBhyXVb9dfU91v+qS6oXVtcfm/LbqF7bv/drqk9WHq7dWf1r9pbUjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMwgoAHHDKukRgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRMT0IDjxGhNTIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMIOABhwzrJIaCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIETkxAA44TozUxAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBA9czq8gGJv61eMzDOEAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA4gIacCxOakICBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFjAjdVTxwQ+cNts46BoYYQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBJYV0IBjWU+zESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQITCagAcdkC6ZcAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBZQU04FjW02wECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKTCWjAMdmCKZcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBZAQ04lvU0GwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwGQCGnBMtmDKJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQWFZAA45lPc1GgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmYAGHJMtmHIJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgSWFdCAY1lPsxEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECEwmoAHHZAumXAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgWUFNOBY1tNsBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECkwlowDHZgimXAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgWQENOJb1NBsBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBkAhpwTLZgyiVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEFhWQAOOZT3NRoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMJmABhyTLZhyCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIElhXQgGNZT7MRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhMJqABx2QLplwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFlBTTgWNbTbAQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABApMJaMAx2YIplwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYFkBDTiW9TQbAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAZAIacEy2YMolQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYVkADjmU9zUaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDCZgAYcky2YcgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBJYV0IBjWU+zESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQITCbw/3OafFMzJ/RcAAAAAElFTkSuQmCC\" width=\"2160\">"
7973 |       ],
7974 |       "text/plain": [
7975 |        "<IPython.core.display.HTML object>"
7976 |       ]
7977 |      },
7978 |      "metadata": {},
7979 |      "output_type": "display_data"
7980 |     },
7981 |     {
7982 |      "name": "stderr",
7983 |      "output_type": "stream",
7984 |      "text": [
7985 |       "/anaconda3/lib/python3.7/site-packages/matplotlib/figure.py:98: MatplotlibDeprecationWarning: \n",
7986 |       "Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n",
7987 |       "  \"Adding an axes using the same arguments as a previous axes \"\n"
7988 |      ]
7989 |     }
7990 |    ],
7991 |    "source": [
7992 |     "for cols in required_cols:\n",
7993 |     "    try:\n",
7994 |     "        dataframe='{data}_cols'.format(data=cols)\n",
7995 |     "        dataframe = testdata[['date_','countofdays',cols]]\n",
7996 |     "        title = area_map_dict.get(cols)\n",
7997 |     "        dataframe.rename(columns={cols:'columnvalue'}, inplace=True)\n",
7998 |     "        plt,txt,fig,ax=create_plot(dataframe,title)\n",
7999 |     "        ani=matplotlib.animation.FuncAnimation(fig, animate,fargs=[dataframe, plt,txt,ax],interval=100000, repeat=False)\n",
8000 |     "        plt.show(block=True)\n",
8001 |     "        filname ='{cols}_mobility1.mp4'.format(cols=cols)\n",
8002 |     "        #anim.save(filname, writer='imagemagick', fps=5)\n",
8003 |     "        ani.save(filname, writer=writer)\n",
8004 |     "    except KeyError:\n",
8005 |     "        pass \n",
8006 |     "    \n",
8007 |     "    \n",
8008 |     "    "
8009 |    ]
8010 |   },
8011 |   {
8012 |    "cell_type": "code",
8013 |    "execution_count": null,
8014 |    "metadata": {},
8015 |    "outputs": [],
8016 |    "source": []
8017 |   }
8018 |  ],
8019 |  "metadata": {
8020 |   "kernelspec": {
8021 |    "display_name": "Python 3",
8022 |    "language": "python",
8023 |    "name": "python3"
8024 |   },
8025 |   "language_info": {
8026 |    "codemirror_mode": {
8027 |     "name": "ipython",
8028 |     "version": 3
8029 |    },
8030 |    "file_extension": ".py",
8031 |    "mimetype": "text/x-python",
8032 |    "name": "python",
8033 |    "nbconvert_exporter": "python",
8034 |    "pygments_lexer": "ipython3",
8035 |    "version": "3.7.1"
8036 |   }
8037 |  },
8038 |  "nbformat": 4,
8039 |  "nbformat_minor": 2
8040 | }
8041 | 


--------------------------------------------------------------------------------
/Recommendation/MovieLens_Youtube_Recommendation_Candidate_Generation_Network.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |   "nbformat": 4,
   3 |   "nbformat_minor": 0,
   4 |   "metadata": {
   5 |     "colab": {
   6 |       "name": "MovieLens Youtube Recommendation -Candidate Generation Network.ipynb",
   7 |       "provenance": []
   8 |     },
   9 |     "kernelspec": {
  10 |       "name": "python3",
  11 |       "display_name": "Python 3"
  12 |     },
  13 |     "accelerator": "GPU"
  14 |   },
  15 |   "cells": [
  16 |     {
  17 |       "cell_type": "code",
  18 |       "metadata": {
  19 |         "id": "SlxO4osBVp90",
  20 |         "colab_type": "code",
  21 |         "colab": {
  22 |           "base_uri": "https://localhost:8080/",
  23 |           "height": 51
  24 |         },
  25 |         "outputId": "a0130c25-bf9f-4c67-f615-7b957fa4f199"
  26 |       },
  27 |       "source": [
  28 |         "\n",
  29 |         "# Get the data from Movielens website\n",
  30 |         "from urllib.request import urlretrieve\n",
  31 |         "import zipfile\n",
  32 |         "import pandas as pd\n",
  33 |         "\n",
  34 |         "urlretrieve(\"http://files.grouplens.org/datasets/movielens/ml-100k.zip\", \"movielens.zip\")\n",
  35 |         "zip_ref = zipfile.ZipFile('movielens.zip', \"r\")\n",
  36 |         "zip_ref.extractall()\n",
  37 |         "print(\"Done. Dataset contains:\")\n",
  38 |         "print(zip_ref.read('ml-100k/u.info'))\n",
  39 |         "\n",
  40 |         "#Process the dataset for movies, users,ratings and genre\n",
  41 |         "# Load each data set (users, movies, and ratings).\n",
  42 |         "users_cols = ['user_id', 'age', 'sex', 'occupation', 'zip_code']\n",
  43 |         "users = pd.read_csv(\n",
  44 |         "    'ml-100k/u.user', sep='|', names=users_cols, encoding='latin-1')\n",
  45 |         "\n",
  46 |         "ratings_cols = ['user_id', 'movie_id', 'rating', 'unix_timestamp']\n",
  47 |         "ratings = pd.read_csv(\n",
  48 |         "    'ml-100k/u.data', sep='\\t', names=ratings_cols, encoding='latin-1')\n",
  49 |         "\n",
  50 |         "# The movies file contains a binary feature for each genre.\n",
  51 |         "genre_cols = [\n",
  52 |         "    \"genre_unknown\", \"Action\", \"Adventure\", \"Animation\", \"Children\", \"Comedy\",\n",
  53 |         "    \"Crime\", \"Documentary\", \"Drama\", \"Fantasy\", \"Film-Noir\", \"Horror\",\n",
  54 |         "    \"Musical\", \"Mystery\", \"Romance\", \"Sci-Fi\", \"Thriller\", \"War\", \"Western\",\n",
  55 |         "]\n",
  56 |         "movies_cols = [\n",
  57 |         "    'movie_id', 'title', 'release_date', \"video_release_date\", \"imdb_url\"\n",
  58 |         "] + genre_cols\n",
  59 |         "movies = pd.read_csv(\n",
  60 |         "    'ml-100k/u.item', sep='|', names=movies_cols, encoding='latin-1')\n",
  61 |         "\n",
  62 |         "# Since the ids start at 1, we shift them to start at 0.\n",
  63 |         "users[\"user_id\"] = users[\"user_id\"].apply(lambda x: str(x-1))\n",
  64 |         "movies[\"movie_id\"] = movies[\"movie_id\"].apply(lambda x: str(x-1))\n",
  65 |         "movies[\"year\"] = movies['release_date'].apply(lambda x: str(x).split('-')[-1])\n",
  66 |         "ratings[\"movie_id\"] = ratings[\"movie_id\"].apply(lambda x: str(x-1))\n",
  67 |         "ratings[\"user_id\"] = ratings[\"user_id\"].apply(lambda x: str(x-1))\n",
  68 |         "ratings[\"rating\"] = ratings[\"rating\"].apply(lambda x: float(x))\n"
  69 |       ],
  70 |       "execution_count": 4,
  71 |       "outputs": [
  72 |         {
  73 |           "output_type": "stream",
  74 |           "text": [
  75 |             "Done. Dataset contains:\n",
  76 |             "b'943 users\\n1682 items\\n100000 ratings\\n'\n"
  77 |           ],
  78 |           "name": "stdout"
  79 |         }
  80 |       ]
  81 |     },
  82 |     {
  83 |       "cell_type": "code",
  84 |       "metadata": {
  85 |         "id": "w0X07ZW9Gy_K",
  86 |         "colab_type": "code",
  87 |         "cellView": "both",
  88 |         "colab": {}
  89 |       },
  90 |       "source": [
  91 |         "#Get all the genres for a movie\n",
  92 |         "import numpy as np\n",
  93 |         "genre_occurences = movies[genre_cols].sum().to_dict()\n",
  94 |         "\n",
  95 |         "genres_encoded = {x: i for i, x in enumerate(genre_cols)}\n",
  96 |         "\n",
  97 |         "def get_genres(movies, genres):\n",
  98 |         "  def get_all_genres(gs):\n",
  99 |         "    active = [str(genres_encoded[genre]) for genre, g in zip(genres, gs) if g==1]\n",
 100 |         "    if len(active) == 0:\n",
 101 |         "      return '0'\n",
 102 |         "    return ','.join((active))\n",
 103 |         "  movies['all_genres'] = [\n",
 104 |         "      get_all_genres(gs) for gs in zip(*[movies[genre] for genre in genres])]\n",
 105 |         "\n",
 106 |         "get_genres(movies, genre_cols)"
 107 |       ],
 108 |       "execution_count": 6,
 109 |       "outputs": []
 110 |     },
 111 |     {
 112 |       "cell_type": "code",
 113 |       "metadata": {
 114 |         "id": "f_MlFnk_OCbf",
 115 |         "colab_type": "code",
 116 |         "colab": {
 117 |           "base_uri": "https://localhost:8080/",
 118 |           "height": 247
 119 |         },
 120 |         "outputId": "b6c2cdc0-92c6-4e94-b8d5-2c3ddde7f1eb"
 121 |       },
 122 |       "source": [
 123 |         "movies.head(3)"
 124 |       ],
 125 |       "execution_count": 7,
 126 |       "outputs": [
 127 |         {
 128 |           "output_type": "execute_result",
 129 |           "data": {
 130 |             "text/html": [
 131 |               "<div>\n",
 132 |               "<style scoped>\n",
 133 |               "    .dataframe tbody tr th:only-of-type {\n",
 134 |               "        vertical-align: middle;\n",
 135 |               "    }\n",
 136 |               "\n",
 137 |               "    .dataframe tbody tr th {\n",
 138 |               "        vertical-align: top;\n",
 139 |               "    }\n",
 140 |               "\n",
 141 |               "    .dataframe thead th {\n",
 142 |               "        text-align: right;\n",
 143 |               "    }\n",
 144 |               "</style>\n",
 145 |               "<table border=\"1\" class=\"dataframe\">\n",
 146 |               "  <thead>\n",
 147 |               "    <tr style=\"text-align: right;\">\n",
 148 |               "      <th></th>\n",
 149 |               "      <th>movie_id</th>\n",
 150 |               "      <th>title</th>\n",
 151 |               "      <th>release_date</th>\n",
 152 |               "      <th>video_release_date</th>\n",
 153 |               "      <th>imdb_url</th>\n",
 154 |               "      <th>genre_unknown</th>\n",
 155 |               "      <th>Action</th>\n",
 156 |               "      <th>Adventure</th>\n",
 157 |               "      <th>Animation</th>\n",
 158 |               "      <th>Children</th>\n",
 159 |               "      <th>Comedy</th>\n",
 160 |               "      <th>Crime</th>\n",
 161 |               "      <th>Documentary</th>\n",
 162 |               "      <th>Drama</th>\n",
 163 |               "      <th>Fantasy</th>\n",
 164 |               "      <th>Film-Noir</th>\n",
 165 |               "      <th>Horror</th>\n",
 166 |               "      <th>Musical</th>\n",
 167 |               "      <th>Mystery</th>\n",
 168 |               "      <th>Romance</th>\n",
 169 |               "      <th>Sci-Fi</th>\n",
 170 |               "      <th>Thriller</th>\n",
 171 |               "      <th>War</th>\n",
 172 |               "      <th>Western</th>\n",
 173 |               "      <th>year</th>\n",
 174 |               "      <th>all_genres</th>\n",
 175 |               "    </tr>\n",
 176 |               "  </thead>\n",
 177 |               "  <tbody>\n",
 178 |               "    <tr>\n",
 179 |               "      <th>0</th>\n",
 180 |               "      <td>0</td>\n",
 181 |               "      <td>Toy Story (1995)</td>\n",
 182 |               "      <td>01-Jan-1995</td>\n",
 183 |               "      <td>NaN</td>\n",
 184 |               "      <td>http://us.imdb.com/M/title-exact?Toy%20Story%2...</td>\n",
 185 |               "      <td>0</td>\n",
 186 |               "      <td>0</td>\n",
 187 |               "      <td>0</td>\n",
 188 |               "      <td>1</td>\n",
 189 |               "      <td>1</td>\n",
 190 |               "      <td>1</td>\n",
 191 |               "      <td>0</td>\n",
 192 |               "      <td>0</td>\n",
 193 |               "      <td>0</td>\n",
 194 |               "      <td>0</td>\n",
 195 |               "      <td>0</td>\n",
 196 |               "      <td>0</td>\n",
 197 |               "      <td>0</td>\n",
 198 |               "      <td>0</td>\n",
 199 |               "      <td>0</td>\n",
 200 |               "      <td>0</td>\n",
 201 |               "      <td>0</td>\n",
 202 |               "      <td>0</td>\n",
 203 |               "      <td>0</td>\n",
 204 |               "      <td>1995</td>\n",
 205 |               "      <td>3,4,5</td>\n",
 206 |               "    </tr>\n",
 207 |               "    <tr>\n",
 208 |               "      <th>1</th>\n",
 209 |               "      <td>1</td>\n",
 210 |               "      <td>GoldenEye (1995)</td>\n",
 211 |               "      <td>01-Jan-1995</td>\n",
 212 |               "      <td>NaN</td>\n",
 213 |               "      <td>http://us.imdb.com/M/title-exact?GoldenEye%20(...</td>\n",
 214 |               "      <td>0</td>\n",
 215 |               "      <td>1</td>\n",
 216 |               "      <td>1</td>\n",
 217 |               "      <td>0</td>\n",
 218 |               "      <td>0</td>\n",
 219 |               "      <td>0</td>\n",
 220 |               "      <td>0</td>\n",
 221 |               "      <td>0</td>\n",
 222 |               "      <td>0</td>\n",
 223 |               "      <td>0</td>\n",
 224 |               "      <td>0</td>\n",
 225 |               "      <td>0</td>\n",
 226 |               "      <td>0</td>\n",
 227 |               "      <td>0</td>\n",
 228 |               "      <td>0</td>\n",
 229 |               "      <td>0</td>\n",
 230 |               "      <td>1</td>\n",
 231 |               "      <td>0</td>\n",
 232 |               "      <td>0</td>\n",
 233 |               "      <td>1995</td>\n",
 234 |               "      <td>1,2,16</td>\n",
 235 |               "    </tr>\n",
 236 |               "    <tr>\n",
 237 |               "      <th>2</th>\n",
 238 |               "      <td>2</td>\n",
 239 |               "      <td>Four Rooms (1995)</td>\n",
 240 |               "      <td>01-Jan-1995</td>\n",
 241 |               "      <td>NaN</td>\n",
 242 |               "      <td>http://us.imdb.com/M/title-exact?Four%20Rooms%...</td>\n",
 243 |               "      <td>0</td>\n",
 244 |               "      <td>0</td>\n",
 245 |               "      <td>0</td>\n",
 246 |               "      <td>0</td>\n",
 247 |               "      <td>0</td>\n",
 248 |               "      <td>0</td>\n",
 249 |               "      <td>0</td>\n",
 250 |               "      <td>0</td>\n",
 251 |               "      <td>0</td>\n",
 252 |               "      <td>0</td>\n",
 253 |               "      <td>0</td>\n",
 254 |               "      <td>0</td>\n",
 255 |               "      <td>0</td>\n",
 256 |               "      <td>0</td>\n",
 257 |               "      <td>0</td>\n",
 258 |               "      <td>0</td>\n",
 259 |               "      <td>1</td>\n",
 260 |               "      <td>0</td>\n",
 261 |               "      <td>0</td>\n",
 262 |               "      <td>1995</td>\n",
 263 |               "      <td>16</td>\n",
 264 |               "    </tr>\n",
 265 |               "  </tbody>\n",
 266 |               "</table>\n",
 267 |               "</div>"
 268 |             ],
 269 |             "text/plain": [
 270 |               "  movie_id              title release_date  ...  Western  year  all_genres\n",
 271 |               "0        0   Toy Story (1995)  01-Jan-1995  ...        0  1995       3,4,5\n",
 272 |               "1        1   GoldenEye (1995)  01-Jan-1995  ...        0  1995      1,2,16\n",
 273 |               "2        2  Four Rooms (1995)  01-Jan-1995  ...        0  1995          16\n",
 274 |               "\n",
 275 |               "[3 rows x 26 columns]"
 276 |             ]
 277 |           },
 278 |           "metadata": {
 279 |             "tags": []
 280 |           },
 281 |           "execution_count": 7
 282 |         }
 283 |       ]
 284 |     },
 285 |     {
 286 |       "cell_type": "code",
 287 |       "metadata": {
 288 |         "id": "pD6DCTUx2U6a",
 289 |         "colab_type": "code",
 290 |         "colab": {}
 291 |       },
 292 |       "source": [
 293 |         "rating_details_sample = ratings.merge(movies, on='movie_id').merge(users, on='user_id')\n"
 294 |       ],
 295 |       "execution_count": 8,
 296 |       "outputs": []
 297 |     },
 298 |     {
 299 |       "cell_type": "code",
 300 |       "metadata": {
 301 |         "id": "VNPAg5AwFThV",
 302 |         "colab_type": "code",
 303 |         "colab": {
 304 |           "base_uri": "https://localhost:8080/",
 305 |           "height": 34
 306 |         },
 307 |         "outputId": "01545bec-8bc3-4c18-dacb-fb9e95825e1b"
 308 |       },
 309 |       "source": [
 310 |         "\n",
 311 |         "rating_details_sample.shape"
 312 |       ],
 313 |       "execution_count": 9,
 314 |       "outputs": [
 315 |         {
 316 |           "output_type": "execute_result",
 317 |           "data": {
 318 |             "text/plain": [
 319 |               "(100000, 33)"
 320 |             ]
 321 |           },
 322 |           "metadata": {
 323 |             "tags": []
 324 |           },
 325 |           "execution_count": 9
 326 |         }
 327 |       ]
 328 |     },
 329 |     {
 330 |       "cell_type": "code",
 331 |       "metadata": {
 332 |         "id": "sJlXiopnCA6C",
 333 |         "colab_type": "code",
 334 |         "colab": {
 335 |           "base_uri": "https://localhost:8080/",
 336 |           "height": 770
 337 |         },
 338 |         "outputId": "d2a28cb1-e2d9-41f9-bccf-57a94b55aed9"
 339 |       },
 340 |       "source": [
 341 |         "rating_details_sample.head(10)"
 342 |       ],
 343 |       "execution_count": 10,
 344 |       "outputs": [
 345 |         {
 346 |           "output_type": "execute_result",
 347 |           "data": {
 348 |             "text/html": [
 349 |               "<div>\n",
 350 |               "<style scoped>\n",
 351 |               "    .dataframe tbody tr th:only-of-type {\n",
 352 |               "        vertical-align: middle;\n",
 353 |               "    }\n",
 354 |               "\n",
 355 |               "    .dataframe tbody tr th {\n",
 356 |               "        vertical-align: top;\n",
 357 |               "    }\n",
 358 |               "\n",
 359 |               "    .dataframe thead th {\n",
 360 |               "        text-align: right;\n",
 361 |               "    }\n",
 362 |               "</style>\n",
 363 |               "<table border=\"1\" class=\"dataframe\">\n",
 364 |               "  <thead>\n",
 365 |               "    <tr style=\"text-align: right;\">\n",
 366 |               "      <th></th>\n",
 367 |               "      <th>user_id</th>\n",
 368 |               "      <th>movie_id</th>\n",
 369 |               "      <th>rating</th>\n",
 370 |               "      <th>unix_timestamp</th>\n",
 371 |               "      <th>title</th>\n",
 372 |               "      <th>release_date</th>\n",
 373 |               "      <th>video_release_date</th>\n",
 374 |               "      <th>imdb_url</th>\n",
 375 |               "      <th>genre_unknown</th>\n",
 376 |               "      <th>Action</th>\n",
 377 |               "      <th>Adventure</th>\n",
 378 |               "      <th>Animation</th>\n",
 379 |               "      <th>Children</th>\n",
 380 |               "      <th>Comedy</th>\n",
 381 |               "      <th>Crime</th>\n",
 382 |               "      <th>Documentary</th>\n",
 383 |               "      <th>Drama</th>\n",
 384 |               "      <th>Fantasy</th>\n",
 385 |               "      <th>Film-Noir</th>\n",
 386 |               "      <th>Horror</th>\n",
 387 |               "      <th>Musical</th>\n",
 388 |               "      <th>Mystery</th>\n",
 389 |               "      <th>Romance</th>\n",
 390 |               "      <th>Sci-Fi</th>\n",
 391 |               "      <th>Thriller</th>\n",
 392 |               "      <th>War</th>\n",
 393 |               "      <th>Western</th>\n",
 394 |               "      <th>year</th>\n",
 395 |               "      <th>all_genres</th>\n",
 396 |               "      <th>age</th>\n",
 397 |               "      <th>sex</th>\n",
 398 |               "      <th>occupation</th>\n",
 399 |               "      <th>zip_code</th>\n",
 400 |               "    </tr>\n",
 401 |               "  </thead>\n",
 402 |               "  <tbody>\n",
 403 |               "    <tr>\n",
 404 |               "      <th>0</th>\n",
 405 |               "      <td>195</td>\n",
 406 |               "      <td>241</td>\n",
 407 |               "      <td>3.0</td>\n",
 408 |               "      <td>881250949</td>\n",
 409 |               "      <td>Kolya (1996)</td>\n",
 410 |               "      <td>24-Jan-1997</td>\n",
 411 |               "      <td>NaN</td>\n",
 412 |               "      <td>http://us.imdb.com/M/title-exact?Kolya%20(1996)</td>\n",
 413 |               "      <td>0</td>\n",
 414 |               "      <td>0</td>\n",
 415 |               "      <td>0</td>\n",
 416 |               "      <td>0</td>\n",
 417 |               "      <td>0</td>\n",
 418 |               "      <td>1</td>\n",
 419 |               "      <td>0</td>\n",
 420 |               "      <td>0</td>\n",
 421 |               "      <td>0</td>\n",
 422 |               "      <td>0</td>\n",
 423 |               "      <td>0</td>\n",
 424 |               "      <td>0</td>\n",
 425 |               "      <td>0</td>\n",
 426 |               "      <td>0</td>\n",
 427 |               "      <td>0</td>\n",
 428 |               "      <td>0</td>\n",
 429 |               "      <td>0</td>\n",
 430 |               "      <td>0</td>\n",
 431 |               "      <td>0</td>\n",
 432 |               "      <td>1997</td>\n",
 433 |               "      <td>5</td>\n",
 434 |               "      <td>49</td>\n",
 435 |               "      <td>M</td>\n",
 436 |               "      <td>writer</td>\n",
 437 |               "      <td>55105</td>\n",
 438 |               "    </tr>\n",
 439 |               "    <tr>\n",
 440 |               "      <th>1</th>\n",
 441 |               "      <td>195</td>\n",
 442 |               "      <td>256</td>\n",
 443 |               "      <td>2.0</td>\n",
 444 |               "      <td>881251577</td>\n",
 445 |               "      <td>Men in Black (1997)</td>\n",
 446 |               "      <td>04-Jul-1997</td>\n",
 447 |               "      <td>NaN</td>\n",
 448 |               "      <td>http://us.imdb.com/M/title-exact?Men+in+Black+...</td>\n",
 449 |               "      <td>0</td>\n",
 450 |               "      <td>1</td>\n",
 451 |               "      <td>1</td>\n",
 452 |               "      <td>0</td>\n",
 453 |               "      <td>0</td>\n",
 454 |               "      <td>1</td>\n",
 455 |               "      <td>0</td>\n",
 456 |               "      <td>0</td>\n",
 457 |               "      <td>0</td>\n",
 458 |               "      <td>0</td>\n",
 459 |               "      <td>0</td>\n",
 460 |               "      <td>0</td>\n",
 461 |               "      <td>0</td>\n",
 462 |               "      <td>0</td>\n",
 463 |               "      <td>0</td>\n",
 464 |               "      <td>1</td>\n",
 465 |               "      <td>0</td>\n",
 466 |               "      <td>0</td>\n",
 467 |               "      <td>0</td>\n",
 468 |               "      <td>1997</td>\n",
 469 |               "      <td>1,2,5,15</td>\n",
 470 |               "      <td>49</td>\n",
 471 |               "      <td>M</td>\n",
 472 |               "      <td>writer</td>\n",
 473 |               "      <td>55105</td>\n",
 474 |               "    </tr>\n",
 475 |               "    <tr>\n",
 476 |               "      <th>2</th>\n",
 477 |               "      <td>195</td>\n",
 478 |               "      <td>110</td>\n",
 479 |               "      <td>4.0</td>\n",
 480 |               "      <td>881251793</td>\n",
 481 |               "      <td>Truth About Cats &amp; Dogs, The (1996)</td>\n",
 482 |               "      <td>26-Apr-1996</td>\n",
 483 |               "      <td>NaN</td>\n",
 484 |               "      <td>http://us.imdb.com/M/title-exact?Truth%20About...</td>\n",
 485 |               "      <td>0</td>\n",
 486 |               "      <td>0</td>\n",
 487 |               "      <td>0</td>\n",
 488 |               "      <td>0</td>\n",
 489 |               "      <td>0</td>\n",
 490 |               "      <td>1</td>\n",
 491 |               "      <td>0</td>\n",
 492 |               "      <td>0</td>\n",
 493 |               "      <td>0</td>\n",
 494 |               "      <td>0</td>\n",
 495 |               "      <td>0</td>\n",
 496 |               "      <td>0</td>\n",
 497 |               "      <td>0</td>\n",
 498 |               "      <td>0</td>\n",
 499 |               "      <td>1</td>\n",
 500 |               "      <td>0</td>\n",
 501 |               "      <td>0</td>\n",
 502 |               "      <td>0</td>\n",
 503 |               "      <td>0</td>\n",
 504 |               "      <td>1996</td>\n",
 505 |               "      <td>5,14</td>\n",
 506 |               "      <td>49</td>\n",
 507 |               "      <td>M</td>\n",
 508 |               "      <td>writer</td>\n",
 509 |               "      <td>55105</td>\n",
 510 |               "    </tr>\n",
 511 |               "    <tr>\n",
 512 |               "      <th>3</th>\n",
 513 |               "      <td>195</td>\n",
 514 |               "      <td>24</td>\n",
 515 |               "      <td>4.0</td>\n",
 516 |               "      <td>881251955</td>\n",
 517 |               "      <td>Birdcage, The (1996)</td>\n",
 518 |               "      <td>08-Mar-1996</td>\n",
 519 |               "      <td>NaN</td>\n",
 520 |               "      <td>http://us.imdb.com/M/title-exact?Birdcage,%20T...</td>\n",
 521 |               "      <td>0</td>\n",
 522 |               "      <td>0</td>\n",
 523 |               "      <td>0</td>\n",
 524 |               "      <td>0</td>\n",
 525 |               "      <td>0</td>\n",
 526 |               "      <td>1</td>\n",
 527 |               "      <td>0</td>\n",
 528 |               "      <td>0</td>\n",
 529 |               "      <td>0</td>\n",
 530 |               "      <td>0</td>\n",
 531 |               "      <td>0</td>\n",
 532 |               "      <td>0</td>\n",
 533 |               "      <td>0</td>\n",
 534 |               "      <td>0</td>\n",
 535 |               "      <td>0</td>\n",
 536 |               "      <td>0</td>\n",
 537 |               "      <td>0</td>\n",
 538 |               "      <td>0</td>\n",
 539 |               "      <td>0</td>\n",
 540 |               "      <td>1996</td>\n",
 541 |               "      <td>5</td>\n",
 542 |               "      <td>49</td>\n",
 543 |               "      <td>M</td>\n",
 544 |               "      <td>writer</td>\n",
 545 |               "      <td>55105</td>\n",
 546 |               "    </tr>\n",
 547 |               "    <tr>\n",
 548 |               "      <th>4</th>\n",
 549 |               "      <td>195</td>\n",
 550 |               "      <td>381</td>\n",
 551 |               "      <td>4.0</td>\n",
 552 |               "      <td>881251843</td>\n",
 553 |               "      <td>Adventures of Priscilla, Queen of the Desert, ...</td>\n",
 554 |               "      <td>01-Jan-1994</td>\n",
 555 |               "      <td>NaN</td>\n",
 556 |               "      <td>http://us.imdb.com/M/title-exact?Adventures%20...</td>\n",
 557 |               "      <td>0</td>\n",
 558 |               "      <td>0</td>\n",
 559 |               "      <td>0</td>\n",
 560 |               "      <td>0</td>\n",
 561 |               "      <td>0</td>\n",
 562 |               "      <td>1</td>\n",
 563 |               "      <td>0</td>\n",
 564 |               "      <td>0</td>\n",
 565 |               "      <td>1</td>\n",
 566 |               "      <td>0</td>\n",
 567 |               "      <td>0</td>\n",
 568 |               "      <td>0</td>\n",
 569 |               "      <td>0</td>\n",
 570 |               "      <td>0</td>\n",
 571 |               "      <td>0</td>\n",
 572 |               "      <td>0</td>\n",
 573 |               "      <td>0</td>\n",
 574 |               "      <td>0</td>\n",
 575 |               "      <td>0</td>\n",
 576 |               "      <td>1994</td>\n",
 577 |               "      <td>5,8</td>\n",
 578 |               "      <td>49</td>\n",
 579 |               "      <td>M</td>\n",
 580 |               "      <td>writer</td>\n",
 581 |               "      <td>55105</td>\n",
 582 |               "    </tr>\n",
 583 |               "    <tr>\n",
 584 |               "      <th>5</th>\n",
 585 |               "      <td>195</td>\n",
 586 |               "      <td>201</td>\n",
 587 |               "      <td>3.0</td>\n",
 588 |               "      <td>881251728</td>\n",
 589 |               "      <td>Groundhog Day (1993)</td>\n",
 590 |               "      <td>01-Jan-1993</td>\n",
 591 |               "      <td>NaN</td>\n",
 592 |               "      <td>http://us.imdb.com/M/title-exact?Groundhog%20D...</td>\n",
 593 |               "      <td>0</td>\n",
 594 |               "      <td>0</td>\n",
 595 |               "      <td>0</td>\n",
 596 |               "      <td>0</td>\n",
 597 |               "      <td>0</td>\n",
 598 |               "      <td>1</td>\n",
 599 |               "      <td>0</td>\n",
 600 |               "      <td>0</td>\n",
 601 |               "      <td>0</td>\n",
 602 |               "      <td>0</td>\n",
 603 |               "      <td>0</td>\n",
 604 |               "      <td>0</td>\n",
 605 |               "      <td>0</td>\n",
 606 |               "      <td>0</td>\n",
 607 |               "      <td>1</td>\n",
 608 |               "      <td>0</td>\n",
 609 |               "      <td>0</td>\n",
 610 |               "      <td>0</td>\n",
 611 |               "      <td>0</td>\n",
 612 |               "      <td>1993</td>\n",
 613 |               "      <td>5,14</td>\n",
 614 |               "      <td>49</td>\n",
 615 |               "      <td>M</td>\n",
 616 |               "      <td>writer</td>\n",
 617 |               "      <td>55105</td>\n",
 618 |               "    </tr>\n",
 619 |               "    <tr>\n",
 620 |               "      <th>6</th>\n",
 621 |               "      <td>195</td>\n",
 622 |               "      <td>152</td>\n",
 623 |               "      <td>5.0</td>\n",
 624 |               "      <td>881251820</td>\n",
 625 |               "      <td>Fish Called Wanda, A (1988)</td>\n",
 626 |               "      <td>01-Jan-1988</td>\n",
 627 |               "      <td>NaN</td>\n",
 628 |               "      <td>http://us.imdb.com/M/title-exact?Fish%20Called...</td>\n",
 629 |               "      <td>0</td>\n",
 630 |               "      <td>0</td>\n",
 631 |               "      <td>0</td>\n",
 632 |               "      <td>0</td>\n",
 633 |               "      <td>0</td>\n",
 634 |               "      <td>1</td>\n",
 635 |               "      <td>0</td>\n",
 636 |               "      <td>0</td>\n",
 637 |               "      <td>0</td>\n",
 638 |               "      <td>0</td>\n",
 639 |               "      <td>0</td>\n",
 640 |               "      <td>0</td>\n",
 641 |               "      <td>0</td>\n",
 642 |               "      <td>0</td>\n",
 643 |               "      <td>0</td>\n",
 644 |               "      <td>0</td>\n",
 645 |               "      <td>0</td>\n",
 646 |               "      <td>0</td>\n",
 647 |               "      <td>0</td>\n",
 648 |               "      <td>1988</td>\n",
 649 |               "      <td>5</td>\n",
 650 |               "      <td>49</td>\n",
 651 |               "      <td>M</td>\n",
 652 |               "      <td>writer</td>\n",
 653 |               "      <td>55105</td>\n",
 654 |               "    </tr>\n",
 655 |               "    <tr>\n",
 656 |               "      <th>7</th>\n",
 657 |               "      <td>195</td>\n",
 658 |               "      <td>285</td>\n",
 659 |               "      <td>5.0</td>\n",
 660 |               "      <td>881250949</td>\n",
 661 |               "      <td>English Patient, The (1996)</td>\n",
 662 |               "      <td>15-Nov-1996</td>\n",
 663 |               "      <td>NaN</td>\n",
 664 |               "      <td>http://us.imdb.com/M/title-exact?English%20Pat...</td>\n",
 665 |               "      <td>0</td>\n",
 666 |               "      <td>0</td>\n",
 667 |               "      <td>0</td>\n",
 668 |               "      <td>0</td>\n",
 669 |               "      <td>0</td>\n",
 670 |               "      <td>0</td>\n",
 671 |               "      <td>0</td>\n",
 672 |               "      <td>0</td>\n",
 673 |               "      <td>1</td>\n",
 674 |               "      <td>0</td>\n",
 675 |               "      <td>0</td>\n",
 676 |               "      <td>0</td>\n",
 677 |               "      <td>0</td>\n",
 678 |               "      <td>0</td>\n",
 679 |               "      <td>1</td>\n",
 680 |               "      <td>0</td>\n",
 681 |               "      <td>0</td>\n",
 682 |               "      <td>1</td>\n",
 683 |               "      <td>0</td>\n",
 684 |               "      <td>1996</td>\n",
 685 |               "      <td>8,14,17</td>\n",
 686 |               "      <td>49</td>\n",
 687 |               "      <td>M</td>\n",
 688 |               "      <td>writer</td>\n",
 689 |               "      <td>55105</td>\n",
 690 |               "    </tr>\n",
 691 |               "    <tr>\n",
 692 |               "      <th>8</th>\n",
 693 |               "      <td>195</td>\n",
 694 |               "      <td>65</td>\n",
 695 |               "      <td>3.0</td>\n",
 696 |               "      <td>881251911</td>\n",
 697 |               "      <td>While You Were Sleeping (1995)</td>\n",
 698 |               "      <td>01-Jan-1995</td>\n",
 699 |               "      <td>NaN</td>\n",
 700 |               "      <td>http://us.imdb.com/M/title-exact?While%20You%2...</td>\n",
 701 |               "      <td>0</td>\n",
 702 |               "      <td>0</td>\n",
 703 |               "      <td>0</td>\n",
 704 |               "      <td>0</td>\n",
 705 |               "      <td>0</td>\n",
 706 |               "      <td>1</td>\n",
 707 |               "      <td>0</td>\n",
 708 |               "      <td>0</td>\n",
 709 |               "      <td>0</td>\n",
 710 |               "      <td>0</td>\n",
 711 |               "      <td>0</td>\n",
 712 |               "      <td>0</td>\n",
 713 |               "      <td>0</td>\n",
 714 |               "      <td>0</td>\n",
 715 |               "      <td>1</td>\n",
 716 |               "      <td>0</td>\n",
 717 |               "      <td>0</td>\n",
 718 |               "      <td>0</td>\n",
 719 |               "      <td>0</td>\n",
 720 |               "      <td>1995</td>\n",
 721 |               "      <td>5,14</td>\n",
 722 |               "      <td>49</td>\n",
 723 |               "      <td>M</td>\n",
 724 |               "      <td>writer</td>\n",
 725 |               "      <td>55105</td>\n",
 726 |               "    </tr>\n",
 727 |               "    <tr>\n",
 728 |               "      <th>9</th>\n",
 729 |               "      <td>195</td>\n",
 730 |               "      <td>844</td>\n",
 731 |               "      <td>4.0</td>\n",
 732 |               "      <td>881251954</td>\n",
 733 |               "      <td>That Thing You Do! (1996)</td>\n",
 734 |               "      <td>28-Sep-1996</td>\n",
 735 |               "      <td>NaN</td>\n",
 736 |               "      <td>http://us.imdb.com/M/title-exact?That%20Thing%...</td>\n",
 737 |               "      <td>0</td>\n",
 738 |               "      <td>0</td>\n",
 739 |               "      <td>0</td>\n",
 740 |               "      <td>0</td>\n",
 741 |               "      <td>0</td>\n",
 742 |               "      <td>1</td>\n",
 743 |               "      <td>0</td>\n",
 744 |               "      <td>0</td>\n",
 745 |               "      <td>0</td>\n",
 746 |               "      <td>0</td>\n",
 747 |               "      <td>0</td>\n",
 748 |               "      <td>0</td>\n",
 749 |               "      <td>0</td>\n",
 750 |               "      <td>0</td>\n",
 751 |               "      <td>0</td>\n",
 752 |               "      <td>0</td>\n",
 753 |               "      <td>0</td>\n",
 754 |               "      <td>0</td>\n",
 755 |               "      <td>0</td>\n",
 756 |               "      <td>1996</td>\n",
 757 |               "      <td>5</td>\n",
 758 |               "      <td>49</td>\n",
 759 |               "      <td>M</td>\n",
 760 |               "      <td>writer</td>\n",
 761 |               "      <td>55105</td>\n",
 762 |               "    </tr>\n",
 763 |               "  </tbody>\n",
 764 |               "</table>\n",
 765 |               "</div>"
 766 |             ],
 767 |             "text/plain": [
 768 |               "  user_id movie_id  rating  unix_timestamp  ... age sex  occupation zip_code\n",
 769 |               "0     195      241     3.0       881250949  ...  49   M      writer    55105\n",
 770 |               "1     195      256     2.0       881251577  ...  49   M      writer    55105\n",
 771 |               "2     195      110     4.0       881251793  ...  49   M      writer    55105\n",
 772 |               "3     195       24     4.0       881251955  ...  49   M      writer    55105\n",
 773 |               "4     195      381     4.0       881251843  ...  49   M      writer    55105\n",
 774 |               "5     195      201     3.0       881251728  ...  49   M      writer    55105\n",
 775 |               "6     195      152     5.0       881251820  ...  49   M      writer    55105\n",
 776 |               "7     195      285     5.0       881250949  ...  49   M      writer    55105\n",
 777 |               "8     195       65     3.0       881251911  ...  49   M      writer    55105\n",
 778 |               "9     195      844     4.0       881251954  ...  49   M      writer    55105\n",
 779 |               "\n",
 780 |               "[10 rows x 33 columns]"
 781 |             ]
 782 |           },
 783 |           "metadata": {
 784 |             "tags": []
 785 |           },
 786 |           "execution_count": 10
 787 |         }
 788 |       ]
 789 |     },
 790 |     {
 791 |       "cell_type": "code",
 792 |       "metadata": {
 793 |         "id": "VBvQElHSq-Yh",
 794 |         "colab_type": "code",
 795 |         "colab": {}
 796 |       },
 797 |       "source": [
 798 |         "rating_details_sample['user_id']=rating_details_sample['user_id'].astype(int)\n",
 799 |         "rating_details_sample['movie_id']=rating_details_sample['movie_id'].astype(int)"
 800 |       ],
 801 |       "execution_count": 11,
 802 |       "outputs": []
 803 |     },
 804 |     {
 805 |       "cell_type": "code",
 806 |       "metadata": {
 807 |         "id": "Q4Kd1yJzFwq3",
 808 |         "colab_type": "code",
 809 |         "colab": {}
 810 |       },
 811 |       "source": [
 812 |         "\n",
 813 |         "rating_details_sample=rating_details_sample.set_index(['user_id','unix_timestamp']).sort_index()"
 814 |       ],
 815 |       "execution_count": null,
 816 |       "outputs": []
 817 |     },
 818 |     {
 819 |       "cell_type": "code",
 820 |       "metadata": {
 821 |         "id": "xNfsc9fNF29M",
 822 |         "colab_type": "code",
 823 |         "colab": {}
 824 |       },
 825 |       "source": [
 826 |         "rating_details_sample =rating_details_sample.reset_index()"
 827 |       ],
 828 |       "execution_count": null,
 829 |       "outputs": []
 830 |     },
 831 |     {
 832 |       "cell_type": "code",
 833 |       "metadata": {
 834 |         "id": "uIG-J7IHF_MG",
 835 |         "colab_type": "code",
 836 |         "colab": {}
 837 |       },
 838 |       "source": [
 839 |         "# Get the like and dislike movie list\n",
 840 |         "import numpy as np\n",
 841 |         "rating_details_sample['movie_type'] = np.where(rating_details_sample['rating'] >=3, 'like','dislike')\n",
 842 |         "rating_details_sample['movie_name'] = rating_details_sample['title'].str[:-6]"
 843 |       ],
 844 |       "execution_count": null,
 845 |       "outputs": []
 846 |     },
 847 |     {
 848 |       "cell_type": "code",
 849 |       "metadata": {
 850 |         "id": "tJbXRmjQG5ZB",
 851 |         "colab_type": "code",
 852 |         "colab": {
 853 |           "base_uri": "https://localhost:8080/",
 854 |           "height": 872
 855 |         },
 856 |         "outputId": "c49e3e78-3e86-42a4-914a-02fc04cd0deb"
 857 |       },
 858 |       "source": [
 859 |         "rating_details_sample.head(10)"
 860 |       ],
 861 |       "execution_count": null,
 862 |       "outputs": [
 863 |         {
 864 |           "output_type": "execute_result",
 865 |           "data": {
 866 |             "text/html": [
 867 |               "<div>\n",
 868 |               "<style scoped>\n",
 869 |               "    .dataframe tbody tr th:only-of-type {\n",
 870 |               "        vertical-align: middle;\n",
 871 |               "    }\n",
 872 |               "\n",
 873 |               "    .dataframe tbody tr th {\n",
 874 |               "        vertical-align: top;\n",
 875 |               "    }\n",
 876 |               "\n",
 877 |               "    .dataframe thead th {\n",
 878 |               "        text-align: right;\n",
 879 |               "    }\n",
 880 |               "</style>\n",
 881 |               "<table border=\"1\" class=\"dataframe\">\n",
 882 |               "  <thead>\n",
 883 |               "    <tr style=\"text-align: right;\">\n",
 884 |               "      <th></th>\n",
 885 |               "      <th>user_id</th>\n",
 886 |               "      <th>unix_timestamp</th>\n",
 887 |               "      <th>movie_id</th>\n",
 888 |               "      <th>rating</th>\n",
 889 |               "      <th>title</th>\n",
 890 |               "      <th>release_date</th>\n",
 891 |               "      <th>video_release_date</th>\n",
 892 |               "      <th>imdb_url</th>\n",
 893 |               "      <th>genre_unknown</th>\n",
 894 |               "      <th>Action</th>\n",
 895 |               "      <th>Adventure</th>\n",
 896 |               "      <th>Animation</th>\n",
 897 |               "      <th>Children</th>\n",
 898 |               "      <th>Comedy</th>\n",
 899 |               "      <th>Crime</th>\n",
 900 |               "      <th>Documentary</th>\n",
 901 |               "      <th>Drama</th>\n",
 902 |               "      <th>Fantasy</th>\n",
 903 |               "      <th>Film-Noir</th>\n",
 904 |               "      <th>Horror</th>\n",
 905 |               "      <th>Musical</th>\n",
 906 |               "      <th>Mystery</th>\n",
 907 |               "      <th>Romance</th>\n",
 908 |               "      <th>Sci-Fi</th>\n",
 909 |               "      <th>Thriller</th>\n",
 910 |               "      <th>War</th>\n",
 911 |               "      <th>Western</th>\n",
 912 |               "      <th>year</th>\n",
 913 |               "      <th>all_genres</th>\n",
 914 |               "      <th>age</th>\n",
 915 |               "      <th>sex</th>\n",
 916 |               "      <th>occupation</th>\n",
 917 |               "      <th>zip_code</th>\n",
 918 |               "      <th>movie_type</th>\n",
 919 |               "      <th>movie_name</th>\n",
 920 |               "    </tr>\n",
 921 |               "  </thead>\n",
 922 |               "  <tbody>\n",
 923 |               "    <tr>\n",
 924 |               "      <th>0</th>\n",
 925 |               "      <td>0</td>\n",
 926 |               "      <td>874965478</td>\n",
 927 |               "      <td>171</td>\n",
 928 |               "      <td>5.0</td>\n",
 929 |               "      <td>Empire Strikes Back, The (1980)</td>\n",
 930 |               "      <td>01-Jan-1980</td>\n",
 931 |               "      <td>NaN</td>\n",
 932 |               "      <td>http://us.imdb.com/M/title-exact?Empire%20Stri...</td>\n",
 933 |               "      <td>0</td>\n",
 934 |               "      <td>1</td>\n",
 935 |               "      <td>1</td>\n",
 936 |               "      <td>0</td>\n",
 937 |               "      <td>0</td>\n",
 938 |               "      <td>0</td>\n",
 939 |               "      <td>0</td>\n",
 940 |               "      <td>0</td>\n",
 941 |               "      <td>1</td>\n",
 942 |               "      <td>0</td>\n",
 943 |               "      <td>0</td>\n",
 944 |               "      <td>0</td>\n",
 945 |               "      <td>0</td>\n",
 946 |               "      <td>0</td>\n",
 947 |               "      <td>1</td>\n",
 948 |               "      <td>1</td>\n",
 949 |               "      <td>0</td>\n",
 950 |               "      <td>1</td>\n",
 951 |               "      <td>0</td>\n",
 952 |               "      <td>1980</td>\n",
 953 |               "      <td>1,2,8,14,15,17</td>\n",
 954 |               "      <td>24</td>\n",
 955 |               "      <td>M</td>\n",
 956 |               "      <td>technician</td>\n",
 957 |               "      <td>85711</td>\n",
 958 |               "      <td>like</td>\n",
 959 |               "      <td>Empire Strikes Back, The</td>\n",
 960 |               "    </tr>\n",
 961 |               "    <tr>\n",
 962 |               "      <th>1</th>\n",
 963 |               "      <td>0</td>\n",
 964 |               "      <td>874965478</td>\n",
 965 |               "      <td>167</td>\n",
 966 |               "      <td>5.0</td>\n",
 967 |               "      <td>Monty Python and the Holy Grail (1974)</td>\n",
 968 |               "      <td>01-Jan-1974</td>\n",
 969 |               "      <td>NaN</td>\n",
 970 |               "      <td>http://us.imdb.com/M/title-exact?Monty%20Pytho...</td>\n",
 971 |               "      <td>0</td>\n",
 972 |               "      <td>0</td>\n",
 973 |               "      <td>0</td>\n",
 974 |               "      <td>0</td>\n",
 975 |               "      <td>0</td>\n",
 976 |               "      <td>1</td>\n",
 977 |               "      <td>0</td>\n",
 978 |               "      <td>0</td>\n",
 979 |               "      <td>0</td>\n",
 980 |               "      <td>0</td>\n",
 981 |               "      <td>0</td>\n",
 982 |               "      <td>0</td>\n",
 983 |               "      <td>0</td>\n",
 984 |               "      <td>0</td>\n",
 985 |               "      <td>0</td>\n",
 986 |               "      <td>0</td>\n",
 987 |               "      <td>0</td>\n",
 988 |               "      <td>0</td>\n",
 989 |               "      <td>0</td>\n",
 990 |               "      <td>1974</td>\n",
 991 |               "      <td>5</td>\n",
 992 |               "      <td>24</td>\n",
 993 |               "      <td>M</td>\n",
 994 |               "      <td>technician</td>\n",
 995 |               "      <td>85711</td>\n",
 996 |               "      <td>like</td>\n",
 997 |               "      <td>Monty Python and the Holy Grail</td>\n",
 998 |               "    </tr>\n",
 999 |               "    <tr>\n",
1000 |               "      <th>2</th>\n",
1001 |               "      <td>0</td>\n",
1002 |               "      <td>874965518</td>\n",
1003 |               "      <td>164</td>\n",
1004 |               "      <td>5.0</td>\n",
1005 |               "      <td>Jean de Florette (1986)</td>\n",
1006 |               "      <td>01-Jan-1986</td>\n",
1007 |               "      <td>NaN</td>\n",
1008 |               "      <td>http://us.imdb.com/M/title-exact?Jean%20de%20F...</td>\n",
1009 |               "      <td>0</td>\n",
1010 |               "      <td>0</td>\n",
1011 |               "      <td>0</td>\n",
1012 |               "      <td>0</td>\n",
1013 |               "      <td>0</td>\n",
1014 |               "      <td>0</td>\n",
1015 |               "      <td>0</td>\n",
1016 |               "      <td>0</td>\n",
1017 |               "      <td>1</td>\n",
1018 |               "      <td>0</td>\n",
1019 |               "      <td>0</td>\n",
1020 |               "      <td>0</td>\n",
1021 |               "      <td>0</td>\n",
1022 |               "      <td>0</td>\n",
1023 |               "      <td>0</td>\n",
1024 |               "      <td>0</td>\n",
1025 |               "      <td>0</td>\n",
1026 |               "      <td>0</td>\n",
1027 |               "      <td>0</td>\n",
1028 |               "      <td>1986</td>\n",
1029 |               "      <td>8</td>\n",
1030 |               "      <td>24</td>\n",
1031 |               "      <td>M</td>\n",
1032 |               "      <td>technician</td>\n",
1033 |               "      <td>85711</td>\n",
1034 |               "      <td>like</td>\n",
1035 |               "      <td>Jean de Florette</td>\n",
1036 |               "    </tr>\n",
1037 |               "    <tr>\n",
1038 |               "      <th>3</th>\n",
1039 |               "      <td>0</td>\n",
1040 |               "      <td>874965556</td>\n",
1041 |               "      <td>155</td>\n",
1042 |               "      <td>4.0</td>\n",
1043 |               "      <td>Reservoir Dogs (1992)</td>\n",
1044 |               "      <td>01-Jan-1992</td>\n",
1045 |               "      <td>NaN</td>\n",
1046 |               "      <td>http://us.imdb.com/M/title-exact?Reservoir%20D...</td>\n",
1047 |               "      <td>0</td>\n",
1048 |               "      <td>0</td>\n",
1049 |               "      <td>0</td>\n",
1050 |               "      <td>0</td>\n",
1051 |               "      <td>0</td>\n",
1052 |               "      <td>0</td>\n",
1053 |               "      <td>1</td>\n",
1054 |               "      <td>0</td>\n",
1055 |               "      <td>0</td>\n",
1056 |               "      <td>0</td>\n",
1057 |               "      <td>0</td>\n",
1058 |               "      <td>0</td>\n",
1059 |               "      <td>0</td>\n",
1060 |               "      <td>0</td>\n",
1061 |               "      <td>0</td>\n",
1062 |               "      <td>0</td>\n",
1063 |               "      <td>1</td>\n",
1064 |               "      <td>0</td>\n",
1065 |               "      <td>0</td>\n",
1066 |               "      <td>1992</td>\n",
1067 |               "      <td>6,16</td>\n",
1068 |               "      <td>24</td>\n",
1069 |               "      <td>M</td>\n",
1070 |               "      <td>technician</td>\n",
1071 |               "      <td>85711</td>\n",
1072 |               "      <td>like</td>\n",
1073 |               "      <td>Reservoir Dogs</td>\n",
1074 |               "    </tr>\n",
1075 |               "    <tr>\n",
1076 |               "      <th>4</th>\n",
1077 |               "      <td>0</td>\n",
1078 |               "      <td>874965677</td>\n",
1079 |               "      <td>195</td>\n",
1080 |               "      <td>5.0</td>\n",
1081 |               "      <td>Dead Poets Society (1989)</td>\n",
1082 |               "      <td>01-Jan-1989</td>\n",
1083 |               "      <td>NaN</td>\n",
1084 |               "      <td>http://us.imdb.com/M/title-exact?Dead%20Poets%...</td>\n",
1085 |               "      <td>0</td>\n",
1086 |               "      <td>0</td>\n",
1087 |               "      <td>0</td>\n",
1088 |               "      <td>0</td>\n",
1089 |               "      <td>0</td>\n",
1090 |               "      <td>0</td>\n",
1091 |               "      <td>0</td>\n",
1092 |               "      <td>0</td>\n",
1093 |               "      <td>1</td>\n",
1094 |               "      <td>0</td>\n",
1095 |               "      <td>0</td>\n",
1096 |               "      <td>0</td>\n",
1097 |               "      <td>0</td>\n",
1098 |               "      <td>0</td>\n",
1099 |               "      <td>0</td>\n",
1100 |               "      <td>0</td>\n",
1101 |               "      <td>0</td>\n",
1102 |               "      <td>0</td>\n",
1103 |               "      <td>0</td>\n",
1104 |               "      <td>1989</td>\n",
1105 |               "      <td>8</td>\n",
1106 |               "      <td>24</td>\n",
1107 |               "      <td>M</td>\n",
1108 |               "      <td>technician</td>\n",
1109 |               "      <td>85711</td>\n",
1110 |               "      <td>like</td>\n",
1111 |               "      <td>Dead Poets Society</td>\n",
1112 |               "    </tr>\n",
1113 |               "    <tr>\n",
1114 |               "      <th>5</th>\n",
1115 |               "      <td>0</td>\n",
1116 |               "      <td>874965677</td>\n",
1117 |               "      <td>165</td>\n",
1118 |               "      <td>5.0</td>\n",
1119 |               "      <td>Manon of the Spring (Manon des sources) (1986)</td>\n",
1120 |               "      <td>01-Jan-1986</td>\n",
1121 |               "      <td>NaN</td>\n",
1122 |               "      <td>http://us.imdb.com/M/title-exact?Manon%20des%2...</td>\n",
1123 |               "      <td>0</td>\n",
1124 |               "      <td>0</td>\n",
1125 |               "      <td>0</td>\n",
1126 |               "      <td>0</td>\n",
1127 |               "      <td>0</td>\n",
1128 |               "      <td>0</td>\n",
1129 |               "      <td>0</td>\n",
1130 |               "      <td>0</td>\n",
1131 |               "      <td>1</td>\n",
1132 |               "      <td>0</td>\n",
1133 |               "      <td>0</td>\n",
1134 |               "      <td>0</td>\n",
1135 |               "      <td>0</td>\n",
1136 |               "      <td>0</td>\n",
1137 |               "      <td>0</td>\n",
1138 |               "      <td>0</td>\n",
1139 |               "      <td>0</td>\n",
1140 |               "      <td>0</td>\n",
1141 |               "      <td>0</td>\n",
1142 |               "      <td>1986</td>\n",
1143 |               "      <td>8</td>\n",
1144 |               "      <td>24</td>\n",
1145 |               "      <td>M</td>\n",
1146 |               "      <td>technician</td>\n",
1147 |               "      <td>85711</td>\n",
1148 |               "      <td>like</td>\n",
1149 |               "      <td>Manon of the Spring (Manon des sources)</td>\n",
1150 |               "    </tr>\n",
1151 |               "    <tr>\n",
1152 |               "      <th>6</th>\n",
1153 |               "      <td>0</td>\n",
1154 |               "      <td>874965678</td>\n",
1155 |               "      <td>186</td>\n",
1156 |               "      <td>4.0</td>\n",
1157 |               "      <td>Godfather: Part II, The (1974)</td>\n",
1158 |               "      <td>01-Jan-1974</td>\n",
1159 |               "      <td>NaN</td>\n",
1160 |               "      <td>http://us.imdb.com/M/title-exact?Godfather:%20...</td>\n",
1161 |               "      <td>0</td>\n",
1162 |               "      <td>1</td>\n",
1163 |               "      <td>0</td>\n",
1164 |               "      <td>0</td>\n",
1165 |               "      <td>0</td>\n",
1166 |               "      <td>0</td>\n",
1167 |               "      <td>1</td>\n",
1168 |               "      <td>0</td>\n",
1169 |               "      <td>1</td>\n",
1170 |               "      <td>0</td>\n",
1171 |               "      <td>0</td>\n",
1172 |               "      <td>0</td>\n",
1173 |               "      <td>0</td>\n",
1174 |               "      <td>0</td>\n",
1175 |               "      <td>0</td>\n",
1176 |               "      <td>0</td>\n",
1177 |               "      <td>0</td>\n",
1178 |               "      <td>0</td>\n",
1179 |               "      <td>0</td>\n",
1180 |               "      <td>1974</td>\n",
1181 |               "      <td>1,6,8</td>\n",
1182 |               "      <td>24</td>\n",
1183 |               "      <td>M</td>\n",
1184 |               "      <td>technician</td>\n",
1185 |               "      <td>85711</td>\n",
1186 |               "      <td>like</td>\n",
1187 |               "      <td>Godfather: Part II, The</td>\n",
1188 |               "    </tr>\n",
1189 |               "    <tr>\n",
1190 |               "      <th>7</th>\n",
1191 |               "      <td>0</td>\n",
1192 |               "      <td>874965706</td>\n",
1193 |               "      <td>13</td>\n",
1194 |               "      <td>5.0</td>\n",
1195 |               "      <td>Postino, Il (1994)</td>\n",
1196 |               "      <td>01-Jan-1994</td>\n",
1197 |               "      <td>NaN</td>\n",
1198 |               "      <td>http://us.imdb.com/M/title-exact?Postino,%20Il...</td>\n",
1199 |               "      <td>0</td>\n",
1200 |               "      <td>0</td>\n",
1201 |               "      <td>0</td>\n",
1202 |               "      <td>0</td>\n",
1203 |               "      <td>0</td>\n",
1204 |               "      <td>0</td>\n",
1205 |               "      <td>0</td>\n",
1206 |               "      <td>0</td>\n",
1207 |               "      <td>1</td>\n",
1208 |               "      <td>0</td>\n",
1209 |               "      <td>0</td>\n",
1210 |               "      <td>0</td>\n",
1211 |               "      <td>0</td>\n",
1212 |               "      <td>0</td>\n",
1213 |               "      <td>1</td>\n",
1214 |               "      <td>0</td>\n",
1215 |               "      <td>0</td>\n",
1216 |               "      <td>0</td>\n",
1217 |               "      <td>0</td>\n",
1218 |               "      <td>1994</td>\n",
1219 |               "      <td>8,14</td>\n",
1220 |               "      <td>24</td>\n",
1221 |               "      <td>M</td>\n",
1222 |               "      <td>technician</td>\n",
1223 |               "      <td>85711</td>\n",
1224 |               "      <td>like</td>\n",
1225 |               "      <td>Postino, Il</td>\n",
1226 |               "    </tr>\n",
1227 |               "    <tr>\n",
1228 |               "      <th>8</th>\n",
1229 |               "      <td>0</td>\n",
1230 |               "      <td>874965706</td>\n",
1231 |               "      <td>126</td>\n",
1232 |               "      <td>5.0</td>\n",
1233 |               "      <td>Godfather, The (1972)</td>\n",
1234 |               "      <td>01-Jan-1972</td>\n",
1235 |               "      <td>NaN</td>\n",
1236 |               "      <td>http://us.imdb.com/M/title-exact?Godfather,%20...</td>\n",
1237 |               "      <td>0</td>\n",
1238 |               "      <td>1</td>\n",
1239 |               "      <td>0</td>\n",
1240 |               "      <td>0</td>\n",
1241 |               "      <td>0</td>\n",
1242 |               "      <td>0</td>\n",
1243 |               "      <td>1</td>\n",
1244 |               "      <td>0</td>\n",
1245 |               "      <td>1</td>\n",
1246 |               "      <td>0</td>\n",
1247 |               "      <td>0</td>\n",
1248 |               "      <td>0</td>\n",
1249 |               "      <td>0</td>\n",
1250 |               "      <td>0</td>\n",
1251 |               "      <td>0</td>\n",
1252 |               "      <td>0</td>\n",
1253 |               "      <td>0</td>\n",
1254 |               "      <td>0</td>\n",
1255 |               "      <td>0</td>\n",
1256 |               "      <td>1972</td>\n",
1257 |               "      <td>1,6,8</td>\n",
1258 |               "      <td>24</td>\n",
1259 |               "      <td>M</td>\n",
1260 |               "      <td>technician</td>\n",
1261 |               "      <td>85711</td>\n",
1262 |               "      <td>like</td>\n",
1263 |               "      <td>Godfather, The</td>\n",
1264 |               "    </tr>\n",
1265 |               "    <tr>\n",
1266 |               "      <th>9</th>\n",
1267 |               "      <td>0</td>\n",
1268 |               "      <td>874965706</td>\n",
1269 |               "      <td>249</td>\n",
1270 |               "      <td>4.0</td>\n",
1271 |               "      <td>Fifth Element, The (1997)</td>\n",
1272 |               "      <td>09-May-1997</td>\n",
1273 |               "      <td>NaN</td>\n",
1274 |               "      <td>http://us.imdb.com/M/title-exact?Fifth%20Eleme...</td>\n",
1275 |               "      <td>0</td>\n",
1276 |               "      <td>1</td>\n",
1277 |               "      <td>0</td>\n",
1278 |               "      <td>0</td>\n",
1279 |               "      <td>0</td>\n",
1280 |               "      <td>0</td>\n",
1281 |               "      <td>0</td>\n",
1282 |               "      <td>0</td>\n",
1283 |               "      <td>0</td>\n",
1284 |               "      <td>0</td>\n",
1285 |               "      <td>0</td>\n",
1286 |               "      <td>0</td>\n",
1287 |               "      <td>0</td>\n",
1288 |               "      <td>0</td>\n",
1289 |               "      <td>0</td>\n",
1290 |               "      <td>1</td>\n",
1291 |               "      <td>0</td>\n",
1292 |               "      <td>0</td>\n",
1293 |               "      <td>0</td>\n",
1294 |               "      <td>1997</td>\n",
1295 |               "      <td>1,15</td>\n",
1296 |               "      <td>24</td>\n",
1297 |               "      <td>M</td>\n",
1298 |               "      <td>technician</td>\n",
1299 |               "      <td>85711</td>\n",
1300 |               "      <td>like</td>\n",
1301 |               "      <td>Fifth Element, The</td>\n",
1302 |               "    </tr>\n",
1303 |               "  </tbody>\n",
1304 |               "</table>\n",
1305 |               "</div>"
1306 |             ],
1307 |             "text/plain": [
1308 |               "   user_id  unix_timestamp  ...  movie_type                                movie_name\n",
1309 |               "0        0       874965478  ...        like                 Empire Strikes Back, The \n",
1310 |               "1        0       874965478  ...        like          Monty Python and the Holy Grail \n",
1311 |               "2        0       874965518  ...        like                         Jean de Florette \n",
1312 |               "3        0       874965556  ...        like                           Reservoir Dogs \n",
1313 |               "4        0       874965677  ...        like                       Dead Poets Society \n",
1314 |               "5        0       874965677  ...        like  Manon of the Spring (Manon des sources) \n",
1315 |               "6        0       874965678  ...        like                  Godfather: Part II, The \n",
1316 |               "7        0       874965706  ...        like                              Postino, Il \n",
1317 |               "8        0       874965706  ...        like                           Godfather, The \n",
1318 |               "9        0       874965706  ...        like                       Fifth Element, The \n",
1319 |               "\n",
1320 |               "[10 rows x 35 columns]"
1321 |             ]
1322 |           },
1323 |           "metadata": {
1324 |             "tags": []
1325 |           },
1326 |           "execution_count": 11
1327 |         }
1328 |       ]
1329 |     },
1330 |     {
1331 |       "cell_type": "code",
1332 |       "metadata": {
1333 |         "id": "5Q2qEbS8xs3_",
1334 |         "colab_type": "code",
1335 |         "colab": {}
1336 |       },
1337 |       "source": [
1338 |         "user_ids = rating_details_sample[\"user_id\"].unique().tolist()\n",
1339 |         "user2user_encoded = {x: i for i, x in enumerate(user_ids)}\n",
1340 |         "userencoded2user = {i: x for i, x in enumerate(user_ids)}\n",
1341 |         "\n",
1342 |         "movie_ids = rating_details_sample[\"movie_id\"].unique().tolist()\n",
1343 |         "movie2movie_encoded = {x: i for i, x in enumerate(movie_ids)}\n",
1344 |         "movie_encoded2movie = {i: x for i, x in enumerate(movie_ids)}\n",
1345 |         "\n",
1346 |         "title_ids = rating_details_sample[\"movie_name\"].unique().tolist()\n",
1347 |         "title2title_encoded = {x: i for i, x in enumerate(title_ids)}\n",
1348 |         "title_encoded2title = {i: x for i, x in enumerate(title_ids)}\n",
1349 |         "\n",
1350 |         "\n",
1351 |         "rating_details_sample[\"user\"] = rating_details_sample[\"user_id\"].map(user2user_encoded)\n",
1352 |         "rating_details_sample[\"movie\"] = rating_details_sample[\"movie_id\"].map(movie2movie_encoded)\n",
1353 |         "rating_details_sample[\"title_d\"] = rating_details_sample[\"movie_name\"].map(title2title_encoded)"
1354 |       ],
1355 |       "execution_count": null,
1356 |       "outputs": []
1357 |     },
1358 |     {
1359 |       "cell_type": "code",
1360 |       "metadata": {
1361 |         "id": "is86VFf8fNyS",
1362 |         "colab_type": "code",
1363 |         "colab": {}
1364 |       },
1365 |       "source": [
1366 |         "sample_data=rating_details_sample[['user','occupation','sex']]"
1367 |       ],
1368 |       "execution_count": null,
1369 |       "outputs": []
1370 |     },
1371 |     {
1372 |       "cell_type": "code",
1373 |       "metadata": {
1374 |         "id": "LsVVniv1fxQS",
1375 |         "colab_type": "code",
1376 |         "colab": {}
1377 |       },
1378 |       "source": [
1379 |         "sample_data=sample_data.reset_index()"
1380 |       ],
1381 |       "execution_count": null,
1382 |       "outputs": []
1383 |     },
1384 |     {
1385 |       "cell_type": "code",
1386 |       "metadata": {
1387 |         "id": "PZ862VSlHohp",
1388 |         "colab_type": "code",
1389 |         "colab": {
1390 |           "base_uri": "https://localhost:8080/",
1391 |           "height": 34
1392 |         },
1393 |         "outputId": "554592c7-3bc6-4f09-cb58-c294c2fc30d9"
1394 |       },
1395 |       "source": [
1396 |         "rating_details_sample[\"movie\"].max()\n"
1397 |       ],
1398 |       "execution_count": null,
1399 |       "outputs": [
1400 |         {
1401 |           "output_type": "execute_result",
1402 |           "data": {
1403 |             "text/plain": [
1404 |               "1681"
1405 |             ]
1406 |           },
1407 |           "metadata": {
1408 |             "tags": []
1409 |           },
1410 |           "execution_count": 16
1411 |         }
1412 |       ]
1413 |     },
1414 |     {
1415 |       "cell_type": "code",
1416 |       "metadata": {
1417 |         "id": "ZlCD_usJHFDX",
1418 |         "colab_type": "code",
1419 |         "colab": {}
1420 |       },
1421 |       "source": [
1422 |         "movie_list = rating_details_sample.groupby(['user','movie_type'])['movie'].apply(list).reset_index()\n",
1423 |         "title_list = rating_details_sample.groupby(['user'])['title_d'].apply(list).reset_index()\n",
1424 |         "genre_list = rating_details_sample.groupby(['user'])['all_genres'].unique().apply(list).reset_index()"
1425 |       ],
1426 |       "execution_count": null,
1427 |       "outputs": []
1428 |     },
1429 |     {
1430 |       "cell_type": "code",
1431 |       "metadata": {
1432 |         "id": "UFgXisoWTwKC",
1433 |         "colab_type": "code",
1434 |         "colab": {}
1435 |       },
1436 |       "source": [
1437 |         "# Get the unique set of genre for all the users\n",
1438 |         "genre_list['all_genres']=genre_list['all_genres'].apply(lambda x: list(set(','.join(x))) ) \n",
1439 |         "genre_list['all_genres']=genre_list['all_genres'].apply(lambda x:[ x for x in x if x.isdigit() ])\n"
1440 |       ],
1441 |       "execution_count": null,
1442 |       "outputs": []
1443 |     },
1444 |     {
1445 |       "cell_type": "code",
1446 |       "metadata": {
1447 |         "id": "rOOZ_ruJHR6I",
1448 |         "colab_type": "code",
1449 |         "colab": {}
1450 |       },
1451 |       "source": [
1452 |         "user_video_list = movie_list.pivot(index='user', columns='movie_type', values='movie').reset_index()"
1453 |       ],
1454 |       "execution_count": null,
1455 |       "outputs": []
1456 |     },
1457 |     {
1458 |       "cell_type": "code",
1459 |       "metadata": {
1460 |         "id": "b76F8MqOyio2",
1461 |         "colab_type": "code",
1462 |         "colab": {}
1463 |       },
1464 |       "source": [
1465 |         "user_video_list.fillna(rating_details_sample[\"movie\"].max()+1, inplace=True)"
1466 |       ],
1467 |       "execution_count": null,
1468 |       "outputs": []
1469 |     },
1470 |     {
1471 |       "cell_type": "code",
1472 |       "metadata": {
1473 |         "id": "8Gy71zy_suIh",
1474 |         "colab_type": "code",
1475 |         "colab": {}
1476 |       },
1477 |       "source": [
1478 |         "sample_data = sample_data.drop('index',axis=1)"
1479 |       ],
1480 |       "execution_count": null,
1481 |       "outputs": []
1482 |     },
1483 |     {
1484 |       "cell_type": "code",
1485 |       "metadata": {
1486 |         "id": "Zi48ZKOKs3eJ",
1487 |         "colab_type": "code",
1488 |         "colab": {}
1489 |       },
1490 |       "source": [
1491 |         "sample_data =sample_data.drop_duplicates()"
1492 |       ],
1493 |       "execution_count": null,
1494 |       "outputs": []
1495 |     },
1496 |     {
1497 |       "cell_type": "code",
1498 |       "metadata": {
1499 |         "id": "YtgpqQheH0NJ",
1500 |         "colab_type": "code",
1501 |         "colab": {}
1502 |       },
1503 |       "source": [
1504 |         "user_final_list =pd.merge(user_video_list,title_list, how= 'left')\n",
1505 |         "user_title_list1 = pd.merge(user_final_list,genre_list, how='left')\n",
1506 |         "user_title_list = pd.merge(user_title_list1,sample_data, how='left')"
1507 |       ],
1508 |       "execution_count": null,
1509 |       "outputs": []
1510 |     },
1511 |     {
1512 |       "cell_type": "code",
1513 |       "metadata": {
1514 |         "id": "_mqGy5fMsjN9",
1515 |         "colab_type": "code",
1516 |         "colab": {
1517 |           "base_uri": "https://localhost:8080/",
1518 |           "height": 193
1519 |         },
1520 |         "outputId": "ad86c284-15d0-45bc-9e14-f238b6abd9da"
1521 |       },
1522 |       "source": [
1523 |         "user_title_list1.head(3)"
1524 |       ],
1525 |       "execution_count": null,
1526 |       "outputs": [
1527 |         {
1528 |           "output_type": "execute_result",
1529 |           "data": {
1530 |             "text/html": [
1531 |               "<div>\n",
1532 |               "<style scoped>\n",
1533 |               "    .dataframe tbody tr th:only-of-type {\n",
1534 |               "        vertical-align: middle;\n",
1535 |               "    }\n",
1536 |               "\n",
1537 |               "    .dataframe tbody tr th {\n",
1538 |               "        vertical-align: top;\n",
1539 |               "    }\n",
1540 |               "\n",
1541 |               "    .dataframe thead th {\n",
1542 |               "        text-align: right;\n",
1543 |               "    }\n",
1544 |               "</style>\n",
1545 |               "<table border=\"1\" class=\"dataframe\">\n",
1546 |               "  <thead>\n",
1547 |               "    <tr style=\"text-align: right;\">\n",
1548 |               "      <th></th>\n",
1549 |               "      <th>user</th>\n",
1550 |               "      <th>dislike</th>\n",
1551 |               "      <th>like</th>\n",
1552 |               "      <th>title_d</th>\n",
1553 |               "      <th>all_genres</th>\n",
1554 |               "    </tr>\n",
1555 |               "  </thead>\n",
1556 |               "  <tbody>\n",
1557 |               "    <tr>\n",
1558 |               "      <th>0</th>\n",
1559 |               "      <td>0</td>\n",
1560 |               "      <td>[31, 32, 33, 35, 36, 55, 71, 81, 97, 99, 107, ...</td>\n",
1561 |               "      <td>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
1562 |               "      <td>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
1563 |               "      <td>[9, 8, 4, 2, 5, 7, 6, 0, 3, 1]</td>\n",
1564 |               "    </tr>\n",
1565 |               "    <tr>\n",
1566 |               "      <th>1</th>\n",
1567 |               "      <td>1</td>\n",
1568 |               "      <td>[279, 298, 130, 313, 314]</td>\n",
1569 |               "      <td>[272, 250, 273, 274, 275, 276, 277, 278, 280, ...</td>\n",
1570 |               "      <td>[271, 249, 272, 273, 274, 275, 276, 277, 278, ...</td>\n",
1571 |               "      <td>[9, 4, 8, 2, 5, 7, 6, 0, 3, 1]</td>\n",
1572 |               "    </tr>\n",
1573 |               "    <tr>\n",
1574 |               "      <th>2</th>\n",
1575 |               "      <td>2</td>\n",
1576 |               "      <td>[302, 317, 309, 318, 275, 250, 321, 253, 322, ...</td>\n",
1577 |               "      <td>[316, 125, 278, 319, 320, 324, 325, 326, 328, ...</td>\n",
1578 |               "      <td>[300, 314, 315, 307, 14, 277, 316, 317, 318, 2...</td>\n",
1579 |               "      <td>[8, 4, 2, 5, 7, 6, 0, 3, 1]</td>\n",
1580 |               "    </tr>\n",
1581 |               "  </tbody>\n",
1582 |               "</table>\n",
1583 |               "</div>"
1584 |             ],
1585 |             "text/plain": [
1586 |               "   user  ...                      all_genres\n",
1587 |               "0     0  ...  [9, 8, 4, 2, 5, 7, 6, 0, 3, 1]\n",
1588 |               "1     1  ...  [9, 4, 8, 2, 5, 7, 6, 0, 3, 1]\n",
1589 |               "2     2  ...     [8, 4, 2, 5, 7, 6, 0, 3, 1]\n",
1590 |               "\n",
1591 |               "[3 rows x 5 columns]"
1592 |             ]
1593 |           },
1594 |           "metadata": {
1595 |             "tags": []
1596 |           },
1597 |           "execution_count": 26
1598 |         }
1599 |       ]
1600 |     },
1601 |     {
1602 |       "cell_type": "code",
1603 |       "metadata": {
1604 |         "id": "BAmixDt2k8CW",
1605 |         "colab_type": "code",
1606 |         "colab": {}
1607 |       },
1608 |       "source": [
1609 |         "user_title_list['like'] =user_title_list['like'].apply(lambda x: x if type(x) is list else [x])\n",
1610 |         "user_title_list['dislike'] =user_title_list['dislike'].apply(lambda x: x if type(x) is list else [x])"
1611 |       ],
1612 |       "execution_count": null,
1613 |       "outputs": []
1614 |     },
1615 |     {
1616 |       "cell_type": "code",
1617 |       "metadata": {
1618 |         "id": "7aEc-tYNJEtg",
1619 |         "colab_type": "code",
1620 |         "colab": {}
1621 |       },
1622 |       "source": [
1623 |         "user_title_list['predict_labels'] = user_title_list['like'].apply(lambda x: (x[-1]))"
1624 |       ],
1625 |       "execution_count": null,
1626 |       "outputs": []
1627 |     },
1628 |     {
1629 |       "cell_type": "code",
1630 |       "metadata": {
1631 |         "id": "-Wchd1IxKdXv",
1632 |         "colab_type": "code",
1633 |         "colab": {}
1634 |       },
1635 |       "source": [
1636 |         "user_title_list['like']=user_title_list['like'].apply(lambda x: (x[:-1]))"
1637 |       ],
1638 |       "execution_count": null,
1639 |       "outputs": []
1640 |     },
1641 |     {
1642 |       "cell_type": "code",
1643 |       "metadata": {
1644 |         "id": "UroRBcwIhsU6",
1645 |         "colab_type": "code",
1646 |         "colab": {
1647 |           "base_uri": "https://localhost:8080/",
1648 |           "height": 241
1649 |         },
1650 |         "outputId": "63e8150b-d4f0-4a16-d3a7-18510ed53d03"
1651 |       },
1652 |       "source": [
1653 |         "pd.DataFrame(user_title_list[['user','dislike','like','title_d','all_genres','predict_labels']]).head(4)"
1654 |       ],
1655 |       "execution_count": null,
1656 |       "outputs": [
1657 |         {
1658 |           "output_type": "execute_result",
1659 |           "data": {
1660 |             "text/html": [
1661 |               "<div>\n",
1662 |               "<style scoped>\n",
1663 |               "    .dataframe tbody tr th:only-of-type {\n",
1664 |               "        vertical-align: middle;\n",
1665 |               "    }\n",
1666 |               "\n",
1667 |               "    .dataframe tbody tr th {\n",
1668 |               "        vertical-align: top;\n",
1669 |               "    }\n",
1670 |               "\n",
1671 |               "    .dataframe thead th {\n",
1672 |               "        text-align: right;\n",
1673 |               "    }\n",
1674 |               "</style>\n",
1675 |               "<table border=\"1\" class=\"dataframe\">\n",
1676 |               "  <thead>\n",
1677 |               "    <tr style=\"text-align: right;\">\n",
1678 |               "      <th></th>\n",
1679 |               "      <th>user</th>\n",
1680 |               "      <th>dislike</th>\n",
1681 |               "      <th>like</th>\n",
1682 |               "      <th>title_d</th>\n",
1683 |               "      <th>all_genres</th>\n",
1684 |               "      <th>predict_labels</th>\n",
1685 |               "    </tr>\n",
1686 |               "  </thead>\n",
1687 |               "  <tbody>\n",
1688 |               "    <tr>\n",
1689 |               "      <th>0</th>\n",
1690 |               "      <td>0</td>\n",
1691 |               "      <td>[31, 32, 33, 35, 36, 55, 71, 81, 97, 99, 107, ...</td>\n",
1692 |               "      <td>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
1693 |               "      <td>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
1694 |               "      <td>[9, 8, 4, 2, 5, 7, 6, 0, 3, 1]</td>\n",
1695 |               "      <td>269</td>\n",
1696 |               "    </tr>\n",
1697 |               "    <tr>\n",
1698 |               "      <th>1</th>\n",
1699 |               "      <td>1</td>\n",
1700 |               "      <td>[279, 298, 130, 313, 314]</td>\n",
1701 |               "      <td>[272, 250, 273, 274, 275, 276, 277, 278, 280, ...</td>\n",
1702 |               "      <td>[271, 249, 272, 273, 274, 275, 276, 277, 278, ...</td>\n",
1703 |               "      <td>[9, 4, 8, 2, 5, 7, 6, 0, 3, 1]</td>\n",
1704 |               "      <td>315</td>\n",
1705 |               "    </tr>\n",
1706 |               "    <tr>\n",
1707 |               "      <th>2</th>\n",
1708 |               "      <td>2</td>\n",
1709 |               "      <td>[302, 317, 309, 318, 275, 250, 321, 253, 322, ...</td>\n",
1710 |               "      <td>[316, 125, 278, 319, 320, 324, 325, 326, 328, ...</td>\n",
1711 |               "      <td>[300, 314, 315, 307, 14, 277, 316, 317, 318, 2...</td>\n",
1712 |               "      <td>[8, 4, 2, 5, 7, 6, 0, 3, 1]</td>\n",
1713 |               "      <td>354</td>\n",
1714 |               "    </tr>\n",
1715 |               "    <tr>\n",
1716 |               "      <th>3</th>\n",
1717 |               "      <td>3</td>\n",
1718 |               "      <td>[361]</td>\n",
1719 |               "      <td>[250, 275, 309, 345, 254, 344, 355, 278, 350, ...</td>\n",
1720 |               "      <td>[249, 274, 307, 343, 253, 342, 352, 277, 348, ...</td>\n",
1721 |               "      <td>[8, 4, 2, 5, 7, 6, 3, 1]</td>\n",
1722 |               "      <td>55</td>\n",
1723 |               "    </tr>\n",
1724 |               "  </tbody>\n",
1725 |               "</table>\n",
1726 |               "</div>"
1727 |             ],
1728 |             "text/plain": [
1729 |               "   user  ... predict_labels\n",
1730 |               "0     0  ...            269\n",
1731 |               "1     1  ...            315\n",
1732 |               "2     2  ...            354\n",
1733 |               "3     3  ...             55\n",
1734 |               "\n",
1735 |               "[4 rows x 6 columns]"
1736 |             ]
1737 |           },
1738 |           "metadata": {
1739 |             "tags": []
1740 |           },
1741 |           "execution_count": 30
1742 |         }
1743 |       ]
1744 |     },
1745 |     {
1746 |       "cell_type": "code",
1747 |       "metadata": {
1748 |         "id": "yTlniWmDFnZS",
1749 |         "colab_type": "code",
1750 |         "colab": {}
1751 |       },
1752 |       "source": [
1753 |         "user_title_list_e=user_title_list[(user_title_list.user >= 1)&\n",
1754 |         "                                  (user_title_list.user <= 500)]"
1755 |       ],
1756 |       "execution_count": null,
1757 |       "outputs": []
1758 |     },
1759 |     {
1760 |       "cell_type": "code",
1761 |       "metadata": {
1762 |         "id": "iDLVhpL1lQUL",
1763 |         "colab_type": "code",
1764 |         "colab": {
1765 |           "base_uri": "https://localhost:8080/",
1766 |           "height": 34
1767 |         },
1768 |         "outputId": "111c0751-cbb5-4aa5-d00d-dcd167c4e6b7"
1769 |       },
1770 |       "source": [
1771 |         "user_title_list.shape"
1772 |       ],
1773 |       "execution_count": null,
1774 |       "outputs": [
1775 |         {
1776 |           "output_type": "execute_result",
1777 |           "data": {
1778 |             "text/plain": [
1779 |               "(943, 8)"
1780 |             ]
1781 |           },
1782 |           "metadata": {
1783 |             "tags": []
1784 |           },
1785 |           "execution_count": 32
1786 |         }
1787 |       ]
1788 |     },
1789 |     {
1790 |       "cell_type": "code",
1791 |       "metadata": {
1792 |         "id": "ghtXaAKlsTgu",
1793 |         "colab_type": "code",
1794 |         "colab": {}
1795 |       },
1796 |       "source": [
1797 |         "\n",
1798 |         "EMBEDDING_DIMS = 16\n",
1799 |         "DENSE_UNITS = 64\n",
1800 |         "DROPOUT_PCT = 0.0\n",
1801 |         "ALPHA = 0.0\n",
1802 |         "NUM_CLASSES=rating_details_sample[\"movie\"].max()+2\n",
1803 |         "\n",
1804 |         "LEARNING_RATE = 0.003 "
1805 |       ],
1806 |       "execution_count": null,
1807 |       "outputs": []
1808 |     },
1809 |     {
1810 |       "cell_type": "code",
1811 |       "metadata": {
1812 |         "id": "q1RSdIccs8NJ",
1813 |         "colab_type": "code",
1814 |         "colab": {}
1815 |       },
1816 |       "source": [
1817 |         "import tensorflow as tf\n",
1818 |         "class MaskedEmbeddingsAggregatorLayer(tf.keras.layers.Layer):\n",
1819 |         "    def __init__(self, agg_mode='sum', **kwargs):\n",
1820 |         "        super(MaskedEmbeddingsAggregatorLayer, self).__init__(**kwargs)\n",
1821 |         "\n",
1822 |         "        if agg_mode not in ['sum', 'mean']:\n",
1823 |         "            raise NotImplementedError('mode {} not implemented!'.format(agg_mode))\n",
1824 |         "        self.agg_mode = agg_mode\n",
1825 |         "    \n",
1826 |         "    @tf.function\n",
1827 |         "    def call(self, inputs, mask=None):\n",
1828 |         "        masked_embeddings = tf.ragged.boolean_mask(inputs, mask)\n",
1829 |         "        if self.agg_mode == 'sum':\n",
1830 |         "            aggregated =  tf.reduce_sum(masked_embeddings, axis=1)\n",
1831 |         "        elif self.agg_mode == 'mean':\n",
1832 |         "            aggregated = tf.reduce_mean(masked_embeddings, axis=1)\n",
1833 |         "        \n",
1834 |         "        return aggregated\n",
1835 |         "    \n",
1836 |         "    def get_config(self):\n",
1837 |         "        # this is used when loading a saved model that uses a custom layer\n",
1838 |         "        return {'agg_mode': self.agg_mode}"
1839 |       ],
1840 |       "execution_count": null,
1841 |       "outputs": []
1842 |     },
1843 |     {
1844 |       "cell_type": "code",
1845 |       "metadata": {
1846 |         "id": "j3eZD-JlL6vG",
1847 |         "colab_type": "code",
1848 |         "colab": {}
1849 |       },
1850 |       "source": [
1851 |         "class L2NormLayer(tf.keras.layers.Layer):\n",
1852 |         "    def __init__(self, **kwargs):\n",
1853 |         "        super(L2NormLayer, self).__init__(**kwargs)\n",
1854 |         "    \n",
1855 |         "    @tf.function\n",
1856 |         "    def call(self, inputs, mask=None):\n",
1857 |         "        if mask is not None:\n",
1858 |         "            inputs = tf.ragged.boolean_mask(inputs, mask).to_tensor()\n",
1859 |         "        return tf.math.l2_normalize(inputs, axis=-1)\n",
1860 |         "\n",
1861 |         "    def compute_mask(self, inputs, mask):\n",
1862 |         "        return mask\n",
1863 |         "    "
1864 |       ],
1865 |       "execution_count": null,
1866 |       "outputs": []
1867 |     },
1868 |     {
1869 |       "cell_type": "code",
1870 |       "metadata": {
1871 |         "id": "oiSAcgdppP4N",
1872 |         "colab_type": "code",
1873 |         "colab": {}
1874 |       },
1875 |       "source": [
1876 |         "#---inputs\n",
1877 |         "import tensorflow as tf\n",
1878 |         "import datetime\n",
1879 |         "import os\n",
1880 |         "input_title = tf.keras.Input(shape=(None, ), name='movie_name')\n",
1881 |         "inp_video_liked = tf.keras.layers.Input(shape=(None,), name='like')\n",
1882 |         "inp_video_disliked = tf.keras.layers.Input(shape=(None,), name='dislike')\n",
1883 |         "input_genre = tf.keras.Input(shape=(None, ), name='genre')\n",
1884 |         "\n",
1885 |         "\n",
1886 |         "#--- layers\n",
1887 |         "features_embedding_layer = tf.keras.layers.Embedding(input_dim=NUM_CLASSES, output_dim=EMBEDDING_DIMS, \n",
1888 |         "                                            mask_zero=True, trainable=True, name='features_embeddings')\n",
1889 |         "labels_embedding_layer = tf.keras.layers.Embedding(input_dim=NUM_CLASSES, output_dim=EMBEDDING_DIMS, \n",
1890 |         "                                            mask_zero=True, trainable=True, name='labels_embeddings')\n",
1891 |         "\n",
1892 |         "avg_embeddings = MaskedEmbeddingsAggregatorLayer(agg_mode='mean', name='aggregate_embeddings')\n",
1893 |         "\n",
1894 |         "dense_1 = tf.keras.layers.Dense(units=DENSE_UNITS, name='dense_1')\n",
1895 |         "dense_2 = tf.keras.layers.Dense(units=DENSE_UNITS, name='dense_2')\n",
1896 |         "dense_3 = tf.keras.layers.Dense(units=DENSE_UNITS, name='dense_3')\n",
1897 |         "l2_norm_1 = L2NormLayer(name='l2_norm_1')\n",
1898 |         "\n",
1899 |         "dense_output = tf.keras.layers.Dense(NUM_CLASSES, activation=tf.nn.softmax, name='dense_output')\n",
1900 |         "\n",
1901 |         "#--- features\n",
1902 |         "features_embeddings = features_embedding_layer(input_title)\n",
1903 |         "l2_norm_features = l2_norm_1(features_embeddings)\n",
1904 |         "avg_features = avg_embeddings(l2_norm_features)\n",
1905 |         "\n",
1906 |         "labels_liked_embeddings = labels_embedding_layer(inp_video_liked)\n",
1907 |         "l2_norm_liked = l2_norm_1(labels_liked_embeddings)\n",
1908 |         "avg_liked = avg_embeddings(l2_norm_liked)\n",
1909 |         "\n",
1910 |         "labels_disliked_embeddings = labels_embedding_layer(inp_video_disliked)\n",
1911 |         "l2_norm_disliked = l2_norm_1(labels_disliked_embeddings)\n",
1912 |         "avg_disliked = avg_embeddings(l2_norm_disliked)\n",
1913 |         "\n",
1914 |         "labels_genre_embeddings = labels_embedding_layer(input_genre)\n",
1915 |         "l2_norm_genre = l2_norm_1(labels_genre_embeddings)\n",
1916 |         "avg_genre = avg_embeddings(l2_norm_genre)\n",
1917 |         "\n",
1918 |         "\n",
1919 |         "\n",
1920 |         "concat_inputs = tf.keras.layers.Concatenate(axis=1)([avg_features,\n",
1921 |         "                                                     avg_liked,\n",
1922 |         "                                                     avg_disliked,\n",
1923 |         "                                                     avg_genre\n",
1924 |         "                                                     ])\n",
1925 |         "# Dense Layers\n",
1926 |         "\n",
1927 |         "dense_1_features = dense_1(concat_inputs)\n",
1928 |         "dense_1_relu = tf.keras.layers.ReLU(name='dense_1_relu')(dense_1_features)\n",
1929 |         "dense_1_batch_norm = tf.keras.layers.BatchNormalization(name='dense_1_batch_norm')(dense_1_relu)\n",
1930 |         "\n",
1931 |         "dense_2_features = dense_2(dense_1_relu)\n",
1932 |         "dense_2_relu = tf.keras.layers.ReLU(name='dense_2_relu')(dense_2_features)\n",
1933 |         "#dense_2_batch_norm = tf.keras.layers.BatchNormalization(name='dense_2_batch_norm')(dense_2_relu)\n",
1934 |         "\n",
1935 |         "dense_3_features = dense_3(dense_2_relu)\n",
1936 |         "dense_3_relu = tf.keras.layers.ReLU(name='dense_3_relu')(dense_3_features)\n",
1937 |         "dense_3_batch_norm = tf.keras.layers.BatchNormalization(name='dense_3_batch_norm')(dense_3_relu)\n",
1938 |         "outputs = dense_output(dense_3_batch_norm)\n",
1939 |         "\n",
1940 |         "#Optimizer\n",
1941 |         "optimiser = tf.keras.optimizers.Adam(learning_rate=LEARNING_RATE)\n",
1942 |         "\n",
1943 |         "#--- prep model\n",
1944 |         "model = tf.keras.models.Model(\n",
1945 |         "    inputs=[input_title, inp_video_liked, \n",
1946 |         "            inp_video_disliked\n",
1947 |         "            ,input_genre\n",
1948 |         "            ],\n",
1949 |         "    outputs=[outputs]\n",
1950 |         ")\n",
1951 |         "logdir = os.path.join(\"logs\", datetime.datetime.now().strftime(\"%Y%m%d-%H%M%S\"))\n",
1952 |         "tensorboard_callback = tf.keras.callbacks.TensorBoard(logdir, histogram_freq=1)\n",
1953 |         "model.compile(optimizer=optimiser, loss='sparse_categorical_crossentropy')"
1954 |       ],
1955 |       "execution_count": null,
1956 |       "outputs": []
1957 |     },
1958 |     {
1959 |       "cell_type": "code",
1960 |       "metadata": {
1961 |         "id": "QVKy8Axrt-EU",
1962 |         "colab_type": "code",
1963 |         "colab": {
1964 |           "base_uri": "https://localhost:8080/",
1965 |           "height": 992
1966 |         },
1967 |         "outputId": "03bea1d9-7a4b-443a-d8d8-3f71be1e71d3"
1968 |       },
1969 |       "source": [
1970 |         "tf.keras.utils.plot_model(model, show_shapes=True, show_layer_names=True,dpi=96)"
1971 |       ],
1972 |       "execution_count": null,
1973 |       "outputs": [
1974 |         {
1975 |           "output_type": "execute_result",
1976 |           "data": {
1977 |             "image/png": 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\n",
1978 |             "text/plain": [
1979 |               "<IPython.core.display.Image object>"
1980 |             ]
1981 |           },
1982 |           "metadata": {
1983 |             "tags": []
1984 |           },
1985 |           "execution_count": 57
1986 |         }
1987 |       ]
1988 |     },
1989 |     {
1990 |       "cell_type": "code",
1991 |       "metadata": {
1992 |         "id": "4JO-DHTTuDoC",
1993 |         "colab_type": "code",
1994 |         "colab": {
1995 |           "base_uri": "https://localhost:8080/",
1996 |           "height": 1000
1997 |         },
1998 |         "outputId": "29fc6d5d-e14e-41ee-929b-20accdac0568"
1999 |       },
2000 |       "source": [
2001 |         "model.fit([tf.keras.preprocessing.sequence.pad_sequences(user_title_list_e['title_d']),\n",
2002 |         "           tf.keras.preprocessing.sequence.pad_sequences(user_title_list_e['like']),\n",
2003 |         "           tf.keras.preprocessing.sequence.pad_sequences(user_title_list_e['dislike'])\n",
2004 |         "           ,\n",
2005 |         "            tf.keras.preprocessing.sequence.pad_sequences(user_title_list_e['all_genres'])\n",
2006 |         "           ],user_title_list_e['predict_labels'].values,callbacks=[tensorboard_callback],\n",
2007 |         "           steps_per_epoch=1, epochs=1000,verbose=1)"
2008 |       ],
2009 |       "execution_count": null,
2010 |       "outputs": [
2011 |         {
2012 |           "output_type": "stream",
2013 |           "text": [
2014 |             "Epoch 1/1000\n",
2015 |             "WARNING:tensorflow:5 out of the last 8 calls to <function L2NormLayer.call at 0x7fb42d09cf28> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings is likely due to passing python objects instead of tensors. Also, tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. Please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n",
2016 |             "WARNING:tensorflow:5 out of the last 8 calls to <function MaskedEmbeddingsAggregatorLayer.call at 0x7fb42d0dec80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings is likely due to passing python objects instead of tensors. Also, tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. Please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n",
2017 |             "1/1 [==============================] - 0s 30ms/step - loss: 7.4320\n",
2018 |             "Epoch 2/1000\n",
2019 |             "1/1 [==============================] - ETA: 0s - loss: 7.4266WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.249382). Check your callbacks.\n",
2020 |             "1/1 [==============================] - 0s 32ms/step - loss: 7.4266\n",
2021 |             "Epoch 3/1000\n",
2022 |             "1/1 [==============================] - 0s 29ms/step - loss: 7.4200\n",
2023 |             "Epoch 4/1000\n",
2024 |             "1/1 [==============================] - 0s 29ms/step - loss: 7.4097\n",
2025 |             "Epoch 5/1000\n",
2026 |             "1/1 [==============================] - 0s 30ms/step - loss: 7.4087\n",
2027 |             "Epoch 6/1000\n",
2028 |             "1/1 [==============================] - 0s 30ms/step - loss: 7.4038\n",
2029 |             "Epoch 7/1000\n",
2030 |             "1/1 [==============================] - 0s 30ms/step - loss: 7.3933\n",
2031 |             "Epoch 8/1000\n",
2032 |             "1/1 [==============================] - 0s 35ms/step - loss: 7.3850\n",
2033 |             "Epoch 9/1000\n",
2034 |             "1/1 [==============================] - 0s 30ms/step - loss: 7.3771\n",
2035 |             "Epoch 10/1000\n",
2036 |             "1/1 [==============================] - 0s 36ms/step - loss: 7.3644\n",
2037 |             "Epoch 11/1000\n",
2038 |             "1/1 [==============================] - 0s 29ms/step - loss: 7.3523\n",
2039 |             "Epoch 12/1000\n",
2040 |             "1/1 [==============================] - 0s 29ms/step - loss: 7.3377\n",
2041 |             "Epoch 13/1000\n",
2042 |             "1/1 [==============================] - 0s 30ms/step - loss: 7.3317\n",
2043 |             "Epoch 14/1000\n",
2044 |             "1/1 [==============================] - 0s 28ms/step - loss: 7.3094\n",
2045 |             "Epoch 15/1000\n",
2046 |             "1/1 [==============================] - 0s 30ms/step - loss: 7.2872\n",
2047 |             "Epoch 16/1000\n",
2048 |             "1/1 [==============================] - 0s 29ms/step - loss: 7.2764\n",
2049 |             "Epoch 17/1000\n",
2050 |             "1/1 [==============================] - 0s 30ms/step - loss: 7.2593\n",
2051 |             "Epoch 18/1000\n",
2052 |             "1/1 [==============================] - 0s 30ms/step - loss: 7.2362\n",
2053 |             "Epoch 19/1000\n",
2054 |             "1/1 [==============================] - 0s 29ms/step - loss: 7.2127\n",
2055 |             "Epoch 20/1000\n",
2056 |             "1/1 [==============================] - 0s 29ms/step - loss: 7.1821\n",
2057 |             "Epoch 21/1000\n",
2058 |             "1/1 [==============================] - 0s 32ms/step - loss: 7.1580\n",
2059 |             "Epoch 22/1000\n",
2060 |             "1/1 [==============================] - 0s 34ms/step - loss: 7.1251\n",
2061 |             "Epoch 23/1000\n",
2062 |             "1/1 [==============================] - 0s 30ms/step - loss: 7.1022\n",
2063 |             "Epoch 24/1000\n",
2064 |             "1/1 [==============================] - 0s 30ms/step - loss: 7.0721\n",
2065 |             "Epoch 25/1000\n",
2066 |             "1/1 [==============================] - 0s 37ms/step - loss: 7.0307\n",
2067 |             "Epoch 26/1000\n",
2068 |             "1/1 [==============================] - 0s 29ms/step - loss: 7.0027\n",
2069 |             "Epoch 27/1000\n",
2070 |             "1/1 [==============================] - 0s 28ms/step - loss: 6.9645\n",
2071 |             "Epoch 28/1000\n",
2072 |             "1/1 [==============================] - 0s 29ms/step - loss: 6.9247\n",
2073 |             "Epoch 29/1000\n",
2074 |             "1/1 [==============================] - 0s 31ms/step - loss: 6.9013\n",
2075 |             "Epoch 30/1000\n",
2076 |             "1/1 [==============================] - 0s 29ms/step - loss: 6.8478\n",
2077 |             "Epoch 31/1000\n",
2078 |             "1/1 [==============================] - 0s 30ms/step - loss: 6.8014\n",
2079 |             "Epoch 32/1000\n",
2080 |             "1/1 [==============================] - 0s 29ms/step - loss: 6.7627\n",
2081 |             "Epoch 33/1000\n",
2082 |             "1/1 [==============================] - 0s 29ms/step - loss: 6.7147\n",
2083 |             "Epoch 34/1000\n",
2084 |             "1/1 [==============================] - 0s 29ms/step - loss: 6.6768\n",
2085 |             "Epoch 35/1000\n",
2086 |             "1/1 [==============================] - 0s 31ms/step - loss: 6.6306\n",
2087 |             "Epoch 36/1000\n",
2088 |             "1/1 [==============================] - 0s 30ms/step - loss: 6.5849\n",
2089 |             "Epoch 37/1000\n",
2090 |             "1/1 [==============================] - 0s 29ms/step - loss: 6.5392\n",
2091 |             "Epoch 38/1000\n",
2092 |             "1/1 [==============================] - 0s 28ms/step - loss: 6.4900\n",
2093 |             "Epoch 39/1000\n",
2094 |             "1/1 [==============================] - 0s 36ms/step - loss: 6.4489\n",
2095 |             "Epoch 40/1000\n",
2096 |             "1/1 [==============================] - 0s 30ms/step - loss: 6.3885\n",
2097 |             "Epoch 41/1000\n",
2098 |             "1/1 [==============================] - 0s 29ms/step - loss: 6.3478\n",
2099 |             "Epoch 42/1000\n",
2100 |             "1/1 [==============================] - 0s 37ms/step - loss: 6.3134\n",
2101 |             "Epoch 43/1000\n",
2102 |             "1/1 [==============================] - 0s 29ms/step - loss: 6.2709\n",
2103 |             "Epoch 44/1000\n",
2104 |             "1/1 [==============================] - 0s 29ms/step - loss: 6.2266\n",
2105 |             "Epoch 45/1000\n",
2106 |             "1/1 [==============================] - 0s 29ms/step - loss: 6.1921\n",
2107 |             "Epoch 46/1000\n",
2108 |             "1/1 [==============================] - 0s 30ms/step - loss: 6.1410\n",
2109 |             "Epoch 47/1000\n",
2110 |             "1/1 [==============================] - 0s 28ms/step - loss: 6.0992\n",
2111 |             "Epoch 48/1000\n",
2112 |             "1/1 [==============================] - 0s 29ms/step - loss: 6.0787\n",
2113 |             "Epoch 49/1000\n",
2114 |             "1/1 [==============================] - 0s 28ms/step - loss: 6.0477\n",
2115 |             "Epoch 50/1000\n",
2116 |             "1/1 [==============================] - 0s 27ms/step - loss: 6.0128\n",
2117 |             "Epoch 51/1000\n",
2118 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.9833\n",
2119 |             "Epoch 52/1000\n",
2120 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.9536\n",
2121 |             "Epoch 53/1000\n",
2122 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.9276\n",
2123 |             "Epoch 54/1000\n",
2124 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.9009\n",
2125 |             "Epoch 55/1000\n",
2126 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.8816\n",
2127 |             "Epoch 56/1000\n",
2128 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.8532\n",
2129 |             "Epoch 57/1000\n",
2130 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.8367\n",
2131 |             "Epoch 58/1000\n",
2132 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.8070\n",
2133 |             "Epoch 59/1000\n",
2134 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.8164\n",
2135 |             "Epoch 60/1000\n",
2136 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.7876\n",
2137 |             "Epoch 61/1000\n",
2138 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.7757\n",
2139 |             "Epoch 62/1000\n",
2140 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.7454\n",
2141 |             "Epoch 63/1000\n",
2142 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.7546\n",
2143 |             "Epoch 64/1000\n",
2144 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.7514\n",
2145 |             "Epoch 65/1000\n",
2146 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.7348\n",
2147 |             "Epoch 66/1000\n",
2148 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.7061\n",
2149 |             "Epoch 67/1000\n",
2150 |             "1/1 [==============================] - 0s 38ms/step - loss: 5.7094\n",
2151 |             "Epoch 68/1000\n",
2152 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.7049\n",
2153 |             "Epoch 69/1000\n",
2154 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.6877\n",
2155 |             "Epoch 70/1000\n",
2156 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.6571\n",
2157 |             "Epoch 71/1000\n",
2158 |             "1/1 [==============================] - 0s 34ms/step - loss: 5.6669\n",
2159 |             "Epoch 72/1000\n",
2160 |             "1/1 [==============================] - 0s 34ms/step - loss: 5.6556\n",
2161 |             "Epoch 73/1000\n",
2162 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.6548\n",
2163 |             "Epoch 74/1000\n",
2164 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.6677\n",
2165 |             "Epoch 75/1000\n",
2166 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.6395\n",
2167 |             "Epoch 76/1000\n",
2168 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.6323\n",
2169 |             "Epoch 77/1000\n",
2170 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.6249\n",
2171 |             "Epoch 78/1000\n",
2172 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.6277\n",
2173 |             "Epoch 79/1000\n",
2174 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.6407\n",
2175 |             "Epoch 80/1000\n",
2176 |             "1/1 [==============================] - 0s 36ms/step - loss: 5.5936\n",
2177 |             "Epoch 81/1000\n",
2178 |             "1/1 [==============================] - 0s 32ms/step - loss: 5.6068\n",
2179 |             "Epoch 82/1000\n",
2180 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.5872\n",
2181 |             "Epoch 83/1000\n",
2182 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.6308\n",
2183 |             "Epoch 84/1000\n",
2184 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.6075\n",
2185 |             "Epoch 85/1000\n",
2186 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.6090\n",
2187 |             "Epoch 86/1000\n",
2188 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.5989\n",
2189 |             "Epoch 87/1000\n",
2190 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.5625\n",
2191 |             "Epoch 88/1000\n",
2192 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.5632\n",
2193 |             "Epoch 89/1000\n",
2194 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.5599\n",
2195 |             "Epoch 90/1000\n",
2196 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.5487\n",
2197 |             "Epoch 91/1000\n",
2198 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.5914\n",
2199 |             "Epoch 92/1000\n",
2200 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.5529\n",
2201 |             "Epoch 93/1000\n",
2202 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.5438\n",
2203 |             "Epoch 94/1000\n",
2204 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.5477\n",
2205 |             "Epoch 95/1000\n",
2206 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.5233\n",
2207 |             "Epoch 96/1000\n",
2208 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.5010\n",
2209 |             "Epoch 97/1000\n",
2210 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.5420\n",
2211 |             "Epoch 98/1000\n",
2212 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.5324\n",
2213 |             "Epoch 99/1000\n",
2214 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.5402\n",
2215 |             "Epoch 100/1000\n",
2216 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.5022\n",
2217 |             "Epoch 101/1000\n",
2218 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.5285\n",
2219 |             "Epoch 102/1000\n",
2220 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.5359\n",
2221 |             "Epoch 103/1000\n",
2222 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.4821\n",
2223 |             "Epoch 104/1000\n",
2224 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.4729\n",
2225 |             "Epoch 105/1000\n",
2226 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4568\n",
2227 |             "Epoch 106/1000\n",
2228 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.5125\n",
2229 |             "Epoch 107/1000\n",
2230 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.5077\n",
2231 |             "Epoch 108/1000\n",
2232 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.4914\n",
2233 |             "Epoch 109/1000\n",
2234 |             "1/1 [==============================] - 0s 37ms/step - loss: 5.4997\n",
2235 |             "Epoch 110/1000\n",
2236 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.4922\n",
2237 |             "Epoch 111/1000\n",
2238 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.4908\n",
2239 |             "Epoch 112/1000\n",
2240 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4859\n",
2241 |             "Epoch 113/1000\n",
2242 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.5021\n",
2243 |             "Epoch 114/1000\n",
2244 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.4686\n",
2245 |             "Epoch 115/1000\n",
2246 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4982\n",
2247 |             "Epoch 116/1000\n",
2248 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.4643\n",
2249 |             "Epoch 117/1000\n",
2250 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4580\n",
2251 |             "Epoch 118/1000\n",
2252 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4185\n",
2253 |             "Epoch 119/1000\n",
2254 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.4591\n",
2255 |             "Epoch 120/1000\n",
2256 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4172\n",
2257 |             "Epoch 121/1000\n",
2258 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.4376\n",
2259 |             "Epoch 122/1000\n",
2260 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.4064\n",
2261 |             "Epoch 123/1000\n",
2262 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4166\n",
2263 |             "Epoch 124/1000\n",
2264 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4150\n",
2265 |             "Epoch 125/1000\n",
2266 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.4761\n",
2267 |             "Epoch 126/1000\n",
2268 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.4018\n",
2269 |             "Epoch 127/1000\n",
2270 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.4402\n",
2271 |             "Epoch 128/1000\n",
2272 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.4132\n",
2273 |             "Epoch 129/1000\n",
2274 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3597\n",
2275 |             "Epoch 130/1000\n",
2276 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4255\n",
2277 |             "Epoch 131/1000\n",
2278 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.4001\n",
2279 |             "Epoch 132/1000\n",
2280 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.4043\n",
2281 |             "Epoch 133/1000\n",
2282 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.4191\n",
2283 |             "Epoch 134/1000\n",
2284 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3814\n",
2285 |             "Epoch 135/1000\n",
2286 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4152\n",
2287 |             "Epoch 136/1000\n",
2288 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4236\n",
2289 |             "Epoch 137/1000\n",
2290 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.4161\n",
2291 |             "Epoch 138/1000\n",
2292 |             "1/1 [==============================] - 0s 32ms/step - loss: 5.3584\n",
2293 |             "Epoch 139/1000\n",
2294 |             "1/1 [==============================] - 0s 32ms/step - loss: 5.3572\n",
2295 |             "Epoch 140/1000\n",
2296 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3801\n",
2297 |             "Epoch 141/1000\n",
2298 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3884\n",
2299 |             "Epoch 142/1000\n",
2300 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3572\n",
2301 |             "Epoch 143/1000\n",
2302 |             "1/1 [==============================] - 0s 34ms/step - loss: 5.4339\n",
2303 |             "Epoch 144/1000\n",
2304 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.4181\n",
2305 |             "Epoch 145/1000\n",
2306 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4064\n",
2307 |             "Epoch 146/1000\n",
2308 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3448\n",
2309 |             "Epoch 147/1000\n",
2310 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3750\n",
2311 |             "Epoch 148/1000\n",
2312 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3762\n",
2313 |             "Epoch 149/1000\n",
2314 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3871\n",
2315 |             "Epoch 150/1000\n",
2316 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3851\n",
2317 |             "Epoch 151/1000\n",
2318 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.3860\n",
2319 |             "Epoch 152/1000\n",
2320 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3564\n",
2321 |             "Epoch 153/1000\n",
2322 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3931\n",
2323 |             "Epoch 154/1000\n",
2324 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.4074\n",
2325 |             "Epoch 155/1000\n",
2326 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.3915\n",
2327 |             "Epoch 156/1000\n",
2328 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3810\n",
2329 |             "Epoch 157/1000\n",
2330 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.3782\n",
2331 |             "Epoch 158/1000\n",
2332 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.4309\n",
2333 |             "Epoch 159/1000\n",
2334 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3635\n",
2335 |             "Epoch 160/1000\n",
2336 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3558\n",
2337 |             "Epoch 161/1000\n",
2338 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3634\n",
2339 |             "Epoch 162/1000\n",
2340 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3427\n",
2341 |             "Epoch 163/1000\n",
2342 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.3553\n",
2343 |             "Epoch 164/1000\n",
2344 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.3140\n",
2345 |             "Epoch 165/1000\n",
2346 |             "1/1 [==============================] - 0s 32ms/step - loss: 5.3180\n",
2347 |             "Epoch 166/1000\n",
2348 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3689\n",
2349 |             "Epoch 167/1000\n",
2350 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.3364\n",
2351 |             "Epoch 168/1000\n",
2352 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.3395\n",
2353 |             "Epoch 169/1000\n",
2354 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3193\n",
2355 |             "Epoch 170/1000\n",
2356 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3469\n",
2357 |             "Epoch 171/1000\n",
2358 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3436\n",
2359 |             "Epoch 172/1000\n",
2360 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.3164\n",
2361 |             "Epoch 173/1000\n",
2362 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.2967\n",
2363 |             "Epoch 174/1000\n",
2364 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3155\n",
2365 |             "Epoch 175/1000\n",
2366 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3456\n",
2367 |             "Epoch 176/1000\n",
2368 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3242\n",
2369 |             "Epoch 177/1000\n",
2370 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2667\n",
2371 |             "Epoch 178/1000\n",
2372 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3218\n",
2373 |             "Epoch 179/1000\n",
2374 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3504\n",
2375 |             "Epoch 180/1000\n",
2376 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.3258\n",
2377 |             "Epoch 181/1000\n",
2378 |             "1/1 [==============================] - 0s 34ms/step - loss: 5.3526\n",
2379 |             "Epoch 182/1000\n",
2380 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3178\n",
2381 |             "Epoch 183/1000\n",
2382 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.3445\n",
2383 |             "Epoch 184/1000\n",
2384 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3388\n",
2385 |             "Epoch 185/1000\n",
2386 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3693\n",
2387 |             "Epoch 186/1000\n",
2388 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3108\n",
2389 |             "Epoch 187/1000\n",
2390 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2874\n",
2391 |             "Epoch 188/1000\n",
2392 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2926\n",
2393 |             "Epoch 189/1000\n",
2394 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3107\n",
2395 |             "Epoch 190/1000\n",
2396 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3525\n",
2397 |             "Epoch 191/1000\n",
2398 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3969\n",
2399 |             "Epoch 192/1000\n",
2400 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3232\n",
2401 |             "Epoch 193/1000\n",
2402 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.2963\n",
2403 |             "Epoch 194/1000\n",
2404 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3226\n",
2405 |             "Epoch 195/1000\n",
2406 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3080\n",
2407 |             "Epoch 196/1000\n",
2408 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3343\n",
2409 |             "Epoch 197/1000\n",
2410 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3100\n",
2411 |             "Epoch 198/1000\n",
2412 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2807\n",
2413 |             "Epoch 199/1000\n",
2414 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.3133\n",
2415 |             "Epoch 200/1000\n",
2416 |             "1/1 [==============================] - 0s 32ms/step - loss: 5.3505\n",
2417 |             "Epoch 201/1000\n",
2418 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2789\n",
2419 |             "Epoch 202/1000\n",
2420 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.2339\n",
2421 |             "Epoch 203/1000\n",
2422 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3285\n",
2423 |             "Epoch 204/1000\n",
2424 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2810\n",
2425 |             "Epoch 205/1000\n",
2426 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3272\n",
2427 |             "Epoch 206/1000\n",
2428 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.2636\n",
2429 |             "Epoch 207/1000\n",
2430 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3509\n",
2431 |             "Epoch 208/1000\n",
2432 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2467\n",
2433 |             "Epoch 209/1000\n",
2434 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3087\n",
2435 |             "Epoch 210/1000\n",
2436 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.3036\n",
2437 |             "Epoch 211/1000\n",
2438 |             "1/1 [==============================] - 0s 36ms/step - loss: 5.3392\n",
2439 |             "Epoch 212/1000\n",
2440 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3084\n",
2441 |             "Epoch 213/1000\n",
2442 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2476\n",
2443 |             "Epoch 214/1000\n",
2444 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2760\n",
2445 |             "Epoch 215/1000\n",
2446 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2851\n",
2447 |             "Epoch 216/1000\n",
2448 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.3420\n",
2449 |             "Epoch 217/1000\n",
2450 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.2829\n",
2451 |             "Epoch 218/1000\n",
2452 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2722\n",
2453 |             "Epoch 219/1000\n",
2454 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2627\n",
2455 |             "Epoch 220/1000\n",
2456 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2889\n",
2457 |             "Epoch 221/1000\n",
2458 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2602\n",
2459 |             "Epoch 222/1000\n",
2460 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.3175\n",
2461 |             "Epoch 223/1000\n",
2462 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2958\n",
2463 |             "Epoch 224/1000\n",
2464 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2683\n",
2465 |             "Epoch 225/1000\n",
2466 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.2689\n",
2467 |             "Epoch 226/1000\n",
2468 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2605\n",
2469 |             "Epoch 227/1000\n",
2470 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.2912\n",
2471 |             "Epoch 228/1000\n",
2472 |             "1/1 [==============================] - 0s 35ms/step - loss: 5.2565\n",
2473 |             "Epoch 229/1000\n",
2474 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2897\n",
2475 |             "Epoch 230/1000\n",
2476 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2986\n",
2477 |             "Epoch 231/1000\n",
2478 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2290\n",
2479 |             "Epoch 232/1000\n",
2480 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.2945\n",
2481 |             "Epoch 233/1000\n",
2482 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2358\n",
2483 |             "Epoch 234/1000\n",
2484 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2611\n",
2485 |             "Epoch 235/1000\n",
2486 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.2399\n",
2487 |             "Epoch 236/1000\n",
2488 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.2200\n",
2489 |             "Epoch 237/1000\n",
2490 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2480\n",
2491 |             "Epoch 238/1000\n",
2492 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2774\n",
2493 |             "Epoch 239/1000\n",
2494 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2848\n",
2495 |             "Epoch 240/1000\n",
2496 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.3003\n",
2497 |             "Epoch 241/1000\n",
2498 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2729\n",
2499 |             "Epoch 242/1000\n",
2500 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2724\n",
2501 |             "Epoch 243/1000\n",
2502 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.3059\n",
2503 |             "Epoch 244/1000\n",
2504 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.2227\n",
2505 |             "Epoch 245/1000\n",
2506 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2705\n",
2507 |             "Epoch 246/1000\n",
2508 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.2071\n",
2509 |             "Epoch 247/1000\n",
2510 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2470\n",
2511 |             "Epoch 248/1000\n",
2512 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2140\n",
2513 |             "Epoch 249/1000\n",
2514 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2537\n",
2515 |             "Epoch 250/1000\n",
2516 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.2295\n",
2517 |             "Epoch 251/1000\n",
2518 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2280\n",
2519 |             "Epoch 252/1000\n",
2520 |             "1/1 [==============================] - 0s 32ms/step - loss: 5.2220\n",
2521 |             "Epoch 253/1000\n",
2522 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2244\n",
2523 |             "Epoch 254/1000\n",
2524 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2394\n",
2525 |             "Epoch 255/1000\n",
2526 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1685\n",
2527 |             "Epoch 256/1000\n",
2528 |             "1/1 [==============================] - 0s 35ms/step - loss: 5.2334\n",
2529 |             "Epoch 257/1000\n",
2530 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.2436\n",
2531 |             "Epoch 258/1000\n",
2532 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2636\n",
2533 |             "Epoch 259/1000\n",
2534 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.2510\n",
2535 |             "Epoch 260/1000\n",
2536 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2574\n",
2537 |             "Epoch 261/1000\n",
2538 |             "1/1 [==============================] - 0s 38ms/step - loss: 5.2527\n",
2539 |             "Epoch 262/1000\n",
2540 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1883\n",
2541 |             "Epoch 263/1000\n",
2542 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.2636\n",
2543 |             "Epoch 264/1000\n",
2544 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2731\n",
2545 |             "Epoch 265/1000\n",
2546 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.1969\n",
2547 |             "Epoch 266/1000\n",
2548 |             "1/1 [==============================] - 0s 32ms/step - loss: 5.2166\n",
2549 |             "Epoch 267/1000\n",
2550 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2085\n",
2551 |             "Epoch 268/1000\n",
2552 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2335\n",
2553 |             "Epoch 269/1000\n",
2554 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2172\n",
2555 |             "Epoch 270/1000\n",
2556 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2183\n",
2557 |             "Epoch 271/1000\n",
2558 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.2374\n",
2559 |             "Epoch 272/1000\n",
2560 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.2459\n",
2561 |             "Epoch 273/1000\n",
2562 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.2521\n",
2563 |             "Epoch 274/1000\n",
2564 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2240\n",
2565 |             "Epoch 275/1000\n",
2566 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.2133\n",
2567 |             "Epoch 276/1000\n",
2568 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.1966\n",
2569 |             "Epoch 277/1000\n",
2570 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.1766\n",
2571 |             "Epoch 278/1000\n",
2572 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2408\n",
2573 |             "Epoch 279/1000\n",
2574 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2207\n",
2575 |             "Epoch 280/1000\n",
2576 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1746\n",
2577 |             "Epoch 281/1000\n",
2578 |             "1/1 [==============================] - 0s 35ms/step - loss: 5.2338\n",
2579 |             "Epoch 282/1000\n",
2580 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1907\n",
2581 |             "Epoch 283/1000\n",
2582 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2392\n",
2583 |             "Epoch 284/1000\n",
2584 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2008\n",
2585 |             "Epoch 285/1000\n",
2586 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1992\n",
2587 |             "Epoch 286/1000\n",
2588 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.2197\n",
2589 |             "Epoch 287/1000\n",
2590 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2577\n",
2591 |             "Epoch 288/1000\n",
2592 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1704\n",
2593 |             "Epoch 289/1000\n",
2594 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.2030\n",
2595 |             "Epoch 290/1000\n",
2596 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.2000\n",
2597 |             "Epoch 291/1000\n",
2598 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1970\n",
2599 |             "Epoch 292/1000\n",
2600 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1510\n",
2601 |             "Epoch 293/1000\n",
2602 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2583\n",
2603 |             "Epoch 294/1000\n",
2604 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.1826\n",
2605 |             "Epoch 295/1000\n",
2606 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1669\n",
2607 |             "Epoch 296/1000\n",
2608 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1926\n",
2609 |             "Epoch 297/1000\n",
2610 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2162\n",
2611 |             "Epoch 298/1000\n",
2612 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.2302\n",
2613 |             "Epoch 299/1000\n",
2614 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1227\n",
2615 |             "Epoch 300/1000\n",
2616 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1245\n",
2617 |             "Epoch 301/1000\n",
2618 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1892\n",
2619 |             "Epoch 302/1000\n",
2620 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1777\n",
2621 |             "Epoch 303/1000\n",
2622 |             "1/1 [==============================] - 0s 34ms/step - loss: 5.2090\n",
2623 |             "Epoch 304/1000\n",
2624 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1490\n",
2625 |             "Epoch 305/1000\n",
2626 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1502\n",
2627 |             "Epoch 306/1000\n",
2628 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1557\n",
2629 |             "Epoch 307/1000\n",
2630 |             "1/1 [==============================] - 0s 35ms/step - loss: 5.1729\n",
2631 |             "Epoch 308/1000\n",
2632 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1818\n",
2633 |             "Epoch 309/1000\n",
2634 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1786\n",
2635 |             "Epoch 310/1000\n",
2636 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1759\n",
2637 |             "Epoch 311/1000\n",
2638 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1451\n",
2639 |             "Epoch 312/1000\n",
2640 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1899\n",
2641 |             "Epoch 313/1000\n",
2642 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1474\n",
2643 |             "Epoch 314/1000\n",
2644 |             "1/1 [==============================] - 0s 35ms/step - loss: 5.2047\n",
2645 |             "Epoch 315/1000\n",
2646 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1710\n",
2647 |             "Epoch 316/1000\n",
2648 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1562\n",
2649 |             "Epoch 317/1000\n",
2650 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.1450\n",
2651 |             "Epoch 318/1000\n",
2652 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1916\n",
2653 |             "Epoch 319/1000\n",
2654 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1390\n",
2655 |             "Epoch 320/1000\n",
2656 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1565\n",
2657 |             "Epoch 321/1000\n",
2658 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1564\n",
2659 |             "Epoch 322/1000\n",
2660 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1281\n",
2661 |             "Epoch 323/1000\n",
2662 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1009\n",
2663 |             "Epoch 324/1000\n",
2664 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1879\n",
2665 |             "Epoch 325/1000\n",
2666 |             "1/1 [==============================] - 0s 34ms/step - loss: 5.1561\n",
2667 |             "Epoch 326/1000\n",
2668 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1284\n",
2669 |             "Epoch 327/1000\n",
2670 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1682\n",
2671 |             "Epoch 328/1000\n",
2672 |             "1/1 [==============================] - 0s 38ms/step - loss: 5.1844\n",
2673 |             "Epoch 329/1000\n",
2674 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1153\n",
2675 |             "Epoch 330/1000\n",
2676 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1644\n",
2677 |             "Epoch 331/1000\n",
2678 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1793\n",
2679 |             "Epoch 332/1000\n",
2680 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.1534\n",
2681 |             "Epoch 333/1000\n",
2682 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1100\n",
2683 |             "Epoch 334/1000\n",
2684 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1328\n",
2685 |             "Epoch 335/1000\n",
2686 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1429\n",
2687 |             "Epoch 336/1000\n",
2688 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1368\n",
2689 |             "Epoch 337/1000\n",
2690 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1395\n",
2691 |             "Epoch 338/1000\n",
2692 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1030\n",
2693 |             "Epoch 339/1000\n",
2694 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.1148\n",
2695 |             "Epoch 340/1000\n",
2696 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1007\n",
2697 |             "Epoch 341/1000\n",
2698 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.1189\n",
2699 |             "Epoch 342/1000\n",
2700 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1040\n",
2701 |             "Epoch 343/1000\n",
2702 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0756\n",
2703 |             "Epoch 344/1000\n",
2704 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1381\n",
2705 |             "Epoch 345/1000\n",
2706 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0459\n",
2707 |             "Epoch 346/1000\n",
2708 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0966\n",
2709 |             "Epoch 347/1000\n",
2710 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.0946\n",
2711 |             "Epoch 348/1000\n",
2712 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.1136\n",
2713 |             "Epoch 349/1000\n",
2714 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0974\n",
2715 |             "Epoch 350/1000\n",
2716 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0702\n",
2717 |             "Epoch 351/1000\n",
2718 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.0785\n",
2719 |             "Epoch 352/1000\n",
2720 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1164\n",
2721 |             "Epoch 353/1000\n",
2722 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.1660\n",
2723 |             "Epoch 354/1000\n",
2724 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0324\n",
2725 |             "Epoch 355/1000\n",
2726 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.1115\n",
2727 |             "Epoch 356/1000\n",
2728 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.1127\n",
2729 |             "Epoch 357/1000\n",
2730 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.1017\n",
2731 |             "Epoch 358/1000\n",
2732 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0882\n",
2733 |             "Epoch 359/1000\n",
2734 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0975\n",
2735 |             "Epoch 360/1000\n",
2736 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1423\n",
2737 |             "Epoch 361/1000\n",
2738 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0436\n",
2739 |             "Epoch 362/1000\n",
2740 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1111\n",
2741 |             "Epoch 363/1000\n",
2742 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0586\n",
2743 |             "Epoch 364/1000\n",
2744 |             "1/1 [==============================] - 0s 32ms/step - loss: 5.0994\n",
2745 |             "Epoch 365/1000\n",
2746 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0972\n",
2747 |             "Epoch 366/1000\n",
2748 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0560\n",
2749 |             "Epoch 367/1000\n",
2750 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0676\n",
2751 |             "Epoch 368/1000\n",
2752 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.0841\n",
2753 |             "Epoch 369/1000\n",
2754 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0733\n",
2755 |             "Epoch 370/1000\n",
2756 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0773\n",
2757 |             "Epoch 371/1000\n",
2758 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0639\n",
2759 |             "Epoch 372/1000\n",
2760 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0524\n",
2761 |             "Epoch 373/1000\n",
2762 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0311\n",
2763 |             "Epoch 374/1000\n",
2764 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0071\n",
2765 |             "Epoch 375/1000\n",
2766 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.1209\n",
2767 |             "Epoch 376/1000\n",
2768 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0464\n",
2769 |             "Epoch 377/1000\n",
2770 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0709\n",
2771 |             "Epoch 378/1000\n",
2772 |             "1/1 [==============================] - 0s 42ms/step - loss: 5.0512\n",
2773 |             "Epoch 379/1000\n",
2774 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0095\n",
2775 |             "Epoch 380/1000\n",
2776 |             "1/1 [==============================] - 0s 32ms/step - loss: 5.0662\n",
2777 |             "Epoch 381/1000\n",
2778 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.0357\n",
2779 |             "Epoch 382/1000\n",
2780 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0569\n",
2781 |             "Epoch 383/1000\n",
2782 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0256\n",
2783 |             "Epoch 384/1000\n",
2784 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0612\n",
2785 |             "Epoch 385/1000\n",
2786 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9920\n",
2787 |             "Epoch 386/1000\n",
2788 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0241\n",
2789 |             "Epoch 387/1000\n",
2790 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0081\n",
2791 |             "Epoch 388/1000\n",
2792 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0974\n",
2793 |             "Epoch 389/1000\n",
2794 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0132\n",
2795 |             "Epoch 390/1000\n",
2796 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0431\n",
2797 |             "Epoch 391/1000\n",
2798 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.0203\n",
2799 |             "Epoch 392/1000\n",
2800 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0036\n",
2801 |             "Epoch 393/1000\n",
2802 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.0083\n",
2803 |             "Epoch 394/1000\n",
2804 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9997\n",
2805 |             "Epoch 395/1000\n",
2806 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0209\n",
2807 |             "Epoch 396/1000\n",
2808 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.0495\n",
2809 |             "Epoch 397/1000\n",
2810 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9811\n",
2811 |             "Epoch 398/1000\n",
2812 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0194\n",
2813 |             "Epoch 399/1000\n",
2814 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0103\n",
2815 |             "Epoch 400/1000\n",
2816 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0066\n",
2817 |             "Epoch 401/1000\n",
2818 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0744\n",
2819 |             "Epoch 402/1000\n",
2820 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0057\n",
2821 |             "Epoch 403/1000\n",
2822 |             "1/1 [==============================] - 0s 32ms/step - loss: 5.0220\n",
2823 |             "Epoch 404/1000\n",
2824 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9705\n",
2825 |             "Epoch 405/1000\n",
2826 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.0096\n",
2827 |             "Epoch 406/1000\n",
2828 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.0052\n",
2829 |             "Epoch 407/1000\n",
2830 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0178\n",
2831 |             "Epoch 408/1000\n",
2832 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0494\n",
2833 |             "Epoch 409/1000\n",
2834 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9935\n",
2835 |             "Epoch 410/1000\n",
2836 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.0349\n",
2837 |             "Epoch 411/1000\n",
2838 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9901\n",
2839 |             "Epoch 412/1000\n",
2840 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.9909\n",
2841 |             "Epoch 413/1000\n",
2842 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0769\n",
2843 |             "Epoch 414/1000\n",
2844 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9587\n",
2845 |             "Epoch 415/1000\n",
2846 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9505\n",
2847 |             "Epoch 416/1000\n",
2848 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9807\n",
2849 |             "Epoch 417/1000\n",
2850 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9752\n",
2851 |             "Epoch 418/1000\n",
2852 |             "1/1 [==============================] - 0s 27ms/step - loss: 5.0276\n",
2853 |             "Epoch 419/1000\n",
2854 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9650\n",
2855 |             "Epoch 420/1000\n",
2856 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9609\n",
2857 |             "Epoch 421/1000\n",
2858 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9930\n",
2859 |             "Epoch 422/1000\n",
2860 |             "1/1 [==============================] - 0s 35ms/step - loss: 5.0435\n",
2861 |             "Epoch 423/1000\n",
2862 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9702\n",
2863 |             "Epoch 424/1000\n",
2864 |             "1/1 [==============================] - 0s 32ms/step - loss: 4.9838\n",
2865 |             "Epoch 425/1000\n",
2866 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9848\n",
2867 |             "Epoch 426/1000\n",
2868 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.9603\n",
2869 |             "Epoch 427/1000\n",
2870 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9756\n",
2871 |             "Epoch 428/1000\n",
2872 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9859\n",
2873 |             "Epoch 429/1000\n",
2874 |             "1/1 [==============================] - 0s 38ms/step - loss: 4.9889\n",
2875 |             "Epoch 430/1000\n",
2876 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.9891\n",
2877 |             "Epoch 431/1000\n",
2878 |             "1/1 [==============================] - 0s 31ms/step - loss: 5.0595\n",
2879 |             "Epoch 432/1000\n",
2880 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9868\n",
2881 |             "Epoch 433/1000\n",
2882 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0111\n",
2883 |             "Epoch 434/1000\n",
2884 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0452\n",
2885 |             "Epoch 435/1000\n",
2886 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9883\n",
2887 |             "Epoch 436/1000\n",
2888 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0167\n",
2889 |             "Epoch 437/1000\n",
2890 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.9516\n",
2891 |             "Epoch 438/1000\n",
2892 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0243\n",
2893 |             "Epoch 439/1000\n",
2894 |             "1/1 [==============================] - 0s 33ms/step - loss: 5.0233\n",
2895 |             "Epoch 440/1000\n",
2896 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9922\n",
2897 |             "Epoch 441/1000\n",
2898 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9951\n",
2899 |             "Epoch 442/1000\n",
2900 |             "1/1 [==============================] - 0s 32ms/step - loss: 5.0177\n",
2901 |             "Epoch 443/1000\n",
2902 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9820\n",
2903 |             "Epoch 444/1000\n",
2904 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9803\n",
2905 |             "Epoch 445/1000\n",
2906 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0004\n",
2907 |             "Epoch 446/1000\n",
2908 |             "1/1 [==============================] - 0s 33ms/step - loss: 4.9499\n",
2909 |             "Epoch 447/1000\n",
2910 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9191\n",
2911 |             "Epoch 448/1000\n",
2912 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9568\n",
2913 |             "Epoch 449/1000\n",
2914 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0043\n",
2915 |             "Epoch 450/1000\n",
2916 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.9187\n",
2917 |             "Epoch 451/1000\n",
2918 |             "1/1 [==============================] - 0s 28ms/step - loss: 5.0424\n",
2919 |             "Epoch 452/1000\n",
2920 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9697\n",
2921 |             "Epoch 453/1000\n",
2922 |             "1/1 [==============================] - 0s 29ms/step - loss: 5.0024\n",
2923 |             "Epoch 454/1000\n",
2924 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9127\n",
2925 |             "Epoch 455/1000\n",
2926 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9762\n",
2927 |             "Epoch 456/1000\n",
2928 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.9363\n",
2929 |             "Epoch 457/1000\n",
2930 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9527\n",
2931 |             "Epoch 458/1000\n",
2932 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9528\n",
2933 |             "Epoch 459/1000\n",
2934 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9673\n",
2935 |             "Epoch 460/1000\n",
2936 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9242\n",
2937 |             "Epoch 461/1000\n",
2938 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9211\n",
2939 |             "Epoch 462/1000\n",
2940 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9983\n",
2941 |             "Epoch 463/1000\n",
2942 |             "1/1 [==============================] - 0s 37ms/step - loss: 4.9027\n",
2943 |             "Epoch 464/1000\n",
2944 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9280\n",
2945 |             "Epoch 465/1000\n",
2946 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9596\n",
2947 |             "Epoch 466/1000\n",
2948 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9830\n",
2949 |             "Epoch 467/1000\n",
2950 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9209\n",
2951 |             "Epoch 468/1000\n",
2952 |             "1/1 [==============================] - 0s 30ms/step - loss: 5.0028\n",
2953 |             "Epoch 469/1000\n",
2954 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9280\n",
2955 |             "Epoch 470/1000\n",
2956 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9708\n",
2957 |             "Epoch 471/1000\n",
2958 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8929\n",
2959 |             "Epoch 472/1000\n",
2960 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9456\n",
2961 |             "Epoch 473/1000\n",
2962 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8871\n",
2963 |             "Epoch 474/1000\n",
2964 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9322\n",
2965 |             "Epoch 475/1000\n",
2966 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8983\n",
2967 |             "Epoch 476/1000\n",
2968 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9145\n",
2969 |             "Epoch 477/1000\n",
2970 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9963\n",
2971 |             "Epoch 478/1000\n",
2972 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9057\n",
2973 |             "Epoch 479/1000\n",
2974 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9179\n",
2975 |             "Epoch 480/1000\n",
2976 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.9277\n",
2977 |             "Epoch 481/1000\n",
2978 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8846\n",
2979 |             "Epoch 482/1000\n",
2980 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.9009\n",
2981 |             "Epoch 483/1000\n",
2982 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9355\n",
2983 |             "Epoch 484/1000\n",
2984 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9332\n",
2985 |             "Epoch 485/1000\n",
2986 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9481\n",
2987 |             "Epoch 486/1000\n",
2988 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9569\n",
2989 |             "Epoch 487/1000\n",
2990 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9390\n",
2991 |             "Epoch 488/1000\n",
2992 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9489\n",
2993 |             "Epoch 489/1000\n",
2994 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9460\n",
2995 |             "Epoch 490/1000\n",
2996 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9210\n",
2997 |             "Epoch 491/1000\n",
2998 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9167\n",
2999 |             "Epoch 492/1000\n",
3000 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8933\n",
3001 |             "Epoch 493/1000\n",
3002 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9025\n",
3003 |             "Epoch 494/1000\n",
3004 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8727\n",
3005 |             "Epoch 495/1000\n",
3006 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8897\n",
3007 |             "Epoch 496/1000\n",
3008 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9104\n",
3009 |             "Epoch 497/1000\n",
3010 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.9244\n",
3011 |             "Epoch 498/1000\n",
3012 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8849\n",
3013 |             "Epoch 499/1000\n",
3014 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9013\n",
3015 |             "Epoch 500/1000\n",
3016 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9361\n",
3017 |             "Epoch 501/1000\n",
3018 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9115\n",
3019 |             "Epoch 502/1000\n",
3020 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.9510\n",
3021 |             "Epoch 503/1000\n",
3022 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9326\n",
3023 |             "Epoch 504/1000\n",
3024 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9103\n",
3025 |             "Epoch 505/1000\n",
3026 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8943\n",
3027 |             "Epoch 506/1000\n",
3028 |             "1/1 [==============================] - 0s 35ms/step - loss: 4.8905\n",
3029 |             "Epoch 507/1000\n",
3030 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9494\n",
3031 |             "Epoch 508/1000\n",
3032 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9307\n",
3033 |             "Epoch 509/1000\n",
3034 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9136\n",
3035 |             "Epoch 510/1000\n",
3036 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8885\n",
3037 |             "Epoch 511/1000\n",
3038 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9083\n",
3039 |             "Epoch 512/1000\n",
3040 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8831\n",
3041 |             "Epoch 513/1000\n",
3042 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8792\n",
3043 |             "Epoch 514/1000\n",
3044 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8939\n",
3045 |             "Epoch 515/1000\n",
3046 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9094\n",
3047 |             "Epoch 516/1000\n",
3048 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9375\n",
3049 |             "Epoch 517/1000\n",
3050 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9106\n",
3051 |             "Epoch 518/1000\n",
3052 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9128\n",
3053 |             "Epoch 519/1000\n",
3054 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9074\n",
3055 |             "Epoch 520/1000\n",
3056 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9164\n",
3057 |             "Epoch 521/1000\n",
3058 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9703\n",
3059 |             "Epoch 522/1000\n",
3060 |             "1/1 [==============================] - 0s 33ms/step - loss: 4.8436\n",
3061 |             "Epoch 523/1000\n",
3062 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9566\n",
3063 |             "Epoch 524/1000\n",
3064 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9240\n",
3065 |             "Epoch 525/1000\n",
3066 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.8770\n",
3067 |             "Epoch 526/1000\n",
3068 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8580\n",
3069 |             "Epoch 527/1000\n",
3070 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8633\n",
3071 |             "Epoch 528/1000\n",
3072 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8549\n",
3073 |             "Epoch 529/1000\n",
3074 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8560\n",
3075 |             "Epoch 530/1000\n",
3076 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.8244\n",
3077 |             "Epoch 531/1000\n",
3078 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9274\n",
3079 |             "Epoch 532/1000\n",
3080 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8986\n",
3081 |             "Epoch 533/1000\n",
3082 |             "1/1 [==============================] - 0s 32ms/step - loss: 4.9257\n",
3083 |             "Epoch 534/1000\n",
3084 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8762\n",
3085 |             "Epoch 535/1000\n",
3086 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9004\n",
3087 |             "Epoch 536/1000\n",
3088 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8504\n",
3089 |             "Epoch 537/1000\n",
3090 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8351\n",
3091 |             "Epoch 538/1000\n",
3092 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8147\n",
3093 |             "Epoch 539/1000\n",
3094 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8891\n",
3095 |             "Epoch 540/1000\n",
3096 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8739\n",
3097 |             "Epoch 541/1000\n",
3098 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9125\n",
3099 |             "Epoch 542/1000\n",
3100 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8170\n",
3101 |             "Epoch 543/1000\n",
3102 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8296\n",
3103 |             "Epoch 544/1000\n",
3104 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8901\n",
3105 |             "Epoch 545/1000\n",
3106 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9093\n",
3107 |             "Epoch 546/1000\n",
3108 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8495\n",
3109 |             "Epoch 547/1000\n",
3110 |             "1/1 [==============================] - 0s 35ms/step - loss: 4.8156\n",
3111 |             "Epoch 548/1000\n",
3112 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8324\n",
3113 |             "Epoch 549/1000\n",
3114 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8925\n",
3115 |             "Epoch 550/1000\n",
3116 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8564\n",
3117 |             "Epoch 551/1000\n",
3118 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.8383\n",
3119 |             "Epoch 552/1000\n",
3120 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8371\n",
3121 |             "Epoch 553/1000\n",
3122 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8132\n",
3123 |             "Epoch 554/1000\n",
3124 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9671\n",
3125 |             "Epoch 555/1000\n",
3126 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8511\n",
3127 |             "Epoch 556/1000\n",
3128 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.8573\n",
3129 |             "Epoch 557/1000\n",
3130 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.8819\n",
3131 |             "Epoch 558/1000\n",
3132 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8960\n",
3133 |             "Epoch 559/1000\n",
3134 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.8542\n",
3135 |             "Epoch 560/1000\n",
3136 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.9095\n",
3137 |             "Epoch 561/1000\n",
3138 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8743\n",
3139 |             "Epoch 562/1000\n",
3140 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9214\n",
3141 |             "Epoch 563/1000\n",
3142 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8092\n",
3143 |             "Epoch 564/1000\n",
3144 |             "1/1 [==============================] - 0s 37ms/step - loss: 4.8963\n",
3145 |             "Epoch 565/1000\n",
3146 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8122\n",
3147 |             "Epoch 566/1000\n",
3148 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7791\n",
3149 |             "Epoch 567/1000\n",
3150 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.8722\n",
3151 |             "Epoch 568/1000\n",
3152 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8997\n",
3153 |             "Epoch 569/1000\n",
3154 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9259\n",
3155 |             "Epoch 570/1000\n",
3156 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8730\n",
3157 |             "Epoch 571/1000\n",
3158 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8728\n",
3159 |             "Epoch 572/1000\n",
3160 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8903\n",
3161 |             "Epoch 573/1000\n",
3162 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8570\n",
3163 |             "Epoch 574/1000\n",
3164 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8574\n",
3165 |             "Epoch 575/1000\n",
3166 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.8110\n",
3167 |             "Epoch 576/1000\n",
3168 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8767\n",
3169 |             "Epoch 577/1000\n",
3170 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8596\n",
3171 |             "Epoch 578/1000\n",
3172 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8428\n",
3173 |             "Epoch 579/1000\n",
3174 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8139\n",
3175 |             "Epoch 580/1000\n",
3176 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9073\n",
3177 |             "Epoch 581/1000\n",
3178 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8454\n",
3179 |             "Epoch 582/1000\n",
3180 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.9347\n",
3181 |             "Epoch 583/1000\n",
3182 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8436\n",
3183 |             "Epoch 584/1000\n",
3184 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8486\n",
3185 |             "Epoch 585/1000\n",
3186 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8604\n",
3187 |             "Epoch 586/1000\n",
3188 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9061\n",
3189 |             "Epoch 587/1000\n",
3190 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8546\n",
3191 |             "Epoch 588/1000\n",
3192 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.8069\n",
3193 |             "Epoch 589/1000\n",
3194 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8329\n",
3195 |             "Epoch 590/1000\n",
3196 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8753\n",
3197 |             "Epoch 591/1000\n",
3198 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8424\n",
3199 |             "Epoch 592/1000\n",
3200 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8021\n",
3201 |             "Epoch 593/1000\n",
3202 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8755\n",
3203 |             "Epoch 594/1000\n",
3204 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8954\n",
3205 |             "Epoch 595/1000\n",
3206 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8721\n",
3207 |             "Epoch 596/1000\n",
3208 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.8588\n",
3209 |             "Epoch 597/1000\n",
3210 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8278\n",
3211 |             "Epoch 598/1000\n",
3212 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.8673\n",
3213 |             "Epoch 599/1000\n",
3214 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.9048\n",
3215 |             "Epoch 600/1000\n",
3216 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8926\n",
3217 |             "Epoch 601/1000\n",
3218 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7815\n",
3219 |             "Epoch 602/1000\n",
3220 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8417\n",
3221 |             "Epoch 603/1000\n",
3222 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7974\n",
3223 |             "Epoch 604/1000\n",
3224 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8668\n",
3225 |             "Epoch 605/1000\n",
3226 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8202\n",
3227 |             "Epoch 606/1000\n",
3228 |             "1/1 [==============================] - 0s 38ms/step - loss: 4.8539\n",
3229 |             "Epoch 607/1000\n",
3230 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8391\n",
3231 |             "Epoch 608/1000\n",
3232 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8697\n",
3233 |             "Epoch 609/1000\n",
3234 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7886\n",
3235 |             "Epoch 610/1000\n",
3236 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8695\n",
3237 |             "Epoch 611/1000\n",
3238 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8433\n",
3239 |             "Epoch 612/1000\n",
3240 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8120\n",
3241 |             "Epoch 613/1000\n",
3242 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8158\n",
3243 |             "Epoch 614/1000\n",
3244 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7841\n",
3245 |             "Epoch 615/1000\n",
3246 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8196\n",
3247 |             "Epoch 616/1000\n",
3248 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8342\n",
3249 |             "Epoch 617/1000\n",
3250 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8319\n",
3251 |             "Epoch 618/1000\n",
3252 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7891\n",
3253 |             "Epoch 619/1000\n",
3254 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8424\n",
3255 |             "Epoch 620/1000\n",
3256 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8475\n",
3257 |             "Epoch 621/1000\n",
3258 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8810\n",
3259 |             "Epoch 622/1000\n",
3260 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8788\n",
3261 |             "Epoch 623/1000\n",
3262 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.8680\n",
3263 |             "Epoch 624/1000\n",
3264 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7974\n",
3265 |             "Epoch 625/1000\n",
3266 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7646\n",
3267 |             "Epoch 626/1000\n",
3268 |             "1/1 [==============================] - 0s 32ms/step - loss: 4.8243\n",
3269 |             "Epoch 627/1000\n",
3270 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8148\n",
3271 |             "Epoch 628/1000\n",
3272 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8030\n",
3273 |             "Epoch 629/1000\n",
3274 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8553\n",
3275 |             "Epoch 630/1000\n",
3276 |             "1/1 [==============================] - 0s 32ms/step - loss: 4.7649\n",
3277 |             "Epoch 631/1000\n",
3278 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8684\n",
3279 |             "Epoch 632/1000\n",
3280 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8371\n",
3281 |             "Epoch 633/1000\n",
3282 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.8517\n",
3283 |             "Epoch 634/1000\n",
3284 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8053\n",
3285 |             "Epoch 635/1000\n",
3286 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7854\n",
3287 |             "Epoch 636/1000\n",
3288 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7893\n",
3289 |             "Epoch 637/1000\n",
3290 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8130\n",
3291 |             "Epoch 638/1000\n",
3292 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8065\n",
3293 |             "Epoch 639/1000\n",
3294 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8543\n",
3295 |             "Epoch 640/1000\n",
3296 |             "1/1 [==============================] - 0s 38ms/step - loss: 4.8405\n",
3297 |             "Epoch 641/1000\n",
3298 |             "1/1 [==============================] - 0s 32ms/step - loss: 4.8580\n",
3299 |             "Epoch 642/1000\n",
3300 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8344\n",
3301 |             "Epoch 643/1000\n",
3302 |             "1/1 [==============================] - 0s 32ms/step - loss: 4.7883\n",
3303 |             "Epoch 644/1000\n",
3304 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8293\n",
3305 |             "Epoch 645/1000\n",
3306 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8046\n",
3307 |             "Epoch 646/1000\n",
3308 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8007\n",
3309 |             "Epoch 647/1000\n",
3310 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8021\n",
3311 |             "Epoch 648/1000\n",
3312 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.8125\n",
3313 |             "Epoch 649/1000\n",
3314 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7912\n",
3315 |             "Epoch 650/1000\n",
3316 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8717\n",
3317 |             "Epoch 651/1000\n",
3318 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7918\n",
3319 |             "Epoch 652/1000\n",
3320 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7735\n",
3321 |             "Epoch 653/1000\n",
3322 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8386\n",
3323 |             "Epoch 654/1000\n",
3324 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8464\n",
3325 |             "Epoch 655/1000\n",
3326 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7929\n",
3327 |             "Epoch 656/1000\n",
3328 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8261\n",
3329 |             "Epoch 657/1000\n",
3330 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.8305\n",
3331 |             "Epoch 658/1000\n",
3332 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8010\n",
3333 |             "Epoch 659/1000\n",
3334 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7906\n",
3335 |             "Epoch 660/1000\n",
3336 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8719\n",
3337 |             "Epoch 661/1000\n",
3338 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8269\n",
3339 |             "Epoch 662/1000\n",
3340 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7706\n",
3341 |             "Epoch 663/1000\n",
3342 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8268\n",
3343 |             "Epoch 664/1000\n",
3344 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7454\n",
3345 |             "Epoch 665/1000\n",
3346 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7855\n",
3347 |             "Epoch 666/1000\n",
3348 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7981\n",
3349 |             "Epoch 667/1000\n",
3350 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7787\n",
3351 |             "Epoch 668/1000\n",
3352 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7972\n",
3353 |             "Epoch 669/1000\n",
3354 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7723\n",
3355 |             "Epoch 670/1000\n",
3356 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7414\n",
3357 |             "Epoch 671/1000\n",
3358 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8185\n",
3359 |             "Epoch 672/1000\n",
3360 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7953\n",
3361 |             "Epoch 673/1000\n",
3362 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7714\n",
3363 |             "Epoch 674/1000\n",
3364 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7887\n",
3365 |             "Epoch 675/1000\n",
3366 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7824\n",
3367 |             "Epoch 676/1000\n",
3368 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8124\n",
3369 |             "Epoch 677/1000\n",
3370 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8168\n",
3371 |             "Epoch 678/1000\n",
3372 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7328\n",
3373 |             "Epoch 679/1000\n",
3374 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7471\n",
3375 |             "Epoch 680/1000\n",
3376 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7405\n",
3377 |             "Epoch 681/1000\n",
3378 |             "1/1 [==============================] - 0s 35ms/step - loss: 4.8003\n",
3379 |             "Epoch 682/1000\n",
3380 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7690\n",
3381 |             "Epoch 683/1000\n",
3382 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8037\n",
3383 |             "Epoch 684/1000\n",
3384 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7712\n",
3385 |             "Epoch 685/1000\n",
3386 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.8231\n",
3387 |             "Epoch 686/1000\n",
3388 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7629\n",
3389 |             "Epoch 687/1000\n",
3390 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8313\n",
3391 |             "Epoch 688/1000\n",
3392 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8052\n",
3393 |             "Epoch 689/1000\n",
3394 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7631\n",
3395 |             "Epoch 690/1000\n",
3396 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7840\n",
3397 |             "Epoch 691/1000\n",
3398 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8087\n",
3399 |             "Epoch 692/1000\n",
3400 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8806\n",
3401 |             "Epoch 693/1000\n",
3402 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8128\n",
3403 |             "Epoch 694/1000\n",
3404 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7983\n",
3405 |             "Epoch 695/1000\n",
3406 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8454\n",
3407 |             "Epoch 696/1000\n",
3408 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7780\n",
3409 |             "Epoch 697/1000\n",
3410 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7649\n",
3411 |             "Epoch 698/1000\n",
3412 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7749\n",
3413 |             "Epoch 699/1000\n",
3414 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7864\n",
3415 |             "Epoch 700/1000\n",
3416 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8203\n",
3417 |             "Epoch 701/1000\n",
3418 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8351\n",
3419 |             "Epoch 702/1000\n",
3420 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8066\n",
3421 |             "Epoch 703/1000\n",
3422 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7309\n",
3423 |             "Epoch 704/1000\n",
3424 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7669\n",
3425 |             "Epoch 705/1000\n",
3426 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7941\n",
3427 |             "Epoch 706/1000\n",
3428 |             "1/1 [==============================] - 0s 33ms/step - loss: 4.8075\n",
3429 |             "Epoch 707/1000\n",
3430 |             "1/1 [==============================] - 0s 37ms/step - loss: 4.7589\n",
3431 |             "Epoch 708/1000\n",
3432 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7331\n",
3433 |             "Epoch 709/1000\n",
3434 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.8302\n",
3435 |             "Epoch 710/1000\n",
3436 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7698\n",
3437 |             "Epoch 711/1000\n",
3438 |             "1/1 [==============================] - 0s 32ms/step - loss: 4.7648\n",
3439 |             "Epoch 712/1000\n",
3440 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7438\n",
3441 |             "Epoch 713/1000\n",
3442 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7980\n",
3443 |             "Epoch 714/1000\n",
3444 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7827\n",
3445 |             "Epoch 715/1000\n",
3446 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7888\n",
3447 |             "Epoch 716/1000\n",
3448 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7626\n",
3449 |             "Epoch 717/1000\n",
3450 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7203\n",
3451 |             "Epoch 718/1000\n",
3452 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7576\n",
3453 |             "Epoch 719/1000\n",
3454 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7412\n",
3455 |             "Epoch 720/1000\n",
3456 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7835\n",
3457 |             "Epoch 721/1000\n",
3458 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7562\n",
3459 |             "Epoch 722/1000\n",
3460 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7896\n",
3461 |             "Epoch 723/1000\n",
3462 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8155\n",
3463 |             "Epoch 724/1000\n",
3464 |             "1/1 [==============================] - 0s 38ms/step - loss: 4.7360\n",
3465 |             "Epoch 725/1000\n",
3466 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7939\n",
3467 |             "Epoch 726/1000\n",
3468 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7850\n",
3469 |             "Epoch 727/1000\n",
3470 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.6957\n",
3471 |             "Epoch 728/1000\n",
3472 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7835\n",
3473 |             "Epoch 729/1000\n",
3474 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8098\n",
3475 |             "Epoch 730/1000\n",
3476 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7021\n",
3477 |             "Epoch 731/1000\n",
3478 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.7674\n",
3479 |             "Epoch 732/1000\n",
3480 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7801\n",
3481 |             "Epoch 733/1000\n",
3482 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.8054\n",
3483 |             "Epoch 734/1000\n",
3484 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7706\n",
3485 |             "Epoch 735/1000\n",
3486 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8409\n",
3487 |             "Epoch 736/1000\n",
3488 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8008\n",
3489 |             "Epoch 737/1000\n",
3490 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7472\n",
3491 |             "Epoch 738/1000\n",
3492 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7489\n",
3493 |             "Epoch 739/1000\n",
3494 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7769\n",
3495 |             "Epoch 740/1000\n",
3496 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7856\n",
3497 |             "Epoch 741/1000\n",
3498 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7202\n",
3499 |             "Epoch 742/1000\n",
3500 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7761\n",
3501 |             "Epoch 743/1000\n",
3502 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7575\n",
3503 |             "Epoch 744/1000\n",
3504 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7787\n",
3505 |             "Epoch 745/1000\n",
3506 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.8322\n",
3507 |             "Epoch 746/1000\n",
3508 |             "1/1 [==============================] - 0s 33ms/step - loss: 4.7178\n",
3509 |             "Epoch 747/1000\n",
3510 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7940\n",
3511 |             "Epoch 748/1000\n",
3512 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7437\n",
3513 |             "Epoch 749/1000\n",
3514 |             "1/1 [==============================] - 0s 33ms/step - loss: 4.7327\n",
3515 |             "Epoch 750/1000\n",
3516 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7201\n",
3517 |             "Epoch 751/1000\n",
3518 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7891\n",
3519 |             "Epoch 752/1000\n",
3520 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7626\n",
3521 |             "Epoch 753/1000\n",
3522 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7512\n",
3523 |             "Epoch 754/1000\n",
3524 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7564\n",
3525 |             "Epoch 755/1000\n",
3526 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7929\n",
3527 |             "Epoch 756/1000\n",
3528 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7541\n",
3529 |             "Epoch 757/1000\n",
3530 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.7205\n",
3531 |             "Epoch 758/1000\n",
3532 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7851\n",
3533 |             "Epoch 759/1000\n",
3534 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7939\n",
3535 |             "Epoch 760/1000\n",
3536 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7737\n",
3537 |             "Epoch 761/1000\n",
3538 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7554\n",
3539 |             "Epoch 762/1000\n",
3540 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7534\n",
3541 |             "Epoch 763/1000\n",
3542 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7990\n",
3543 |             "Epoch 764/1000\n",
3544 |             "1/1 [==============================] - 0s 40ms/step - loss: 4.7430\n",
3545 |             "Epoch 765/1000\n",
3546 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7463\n",
3547 |             "Epoch 766/1000\n",
3548 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7291\n",
3549 |             "Epoch 767/1000\n",
3550 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7658\n",
3551 |             "Epoch 768/1000\n",
3552 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7178\n",
3553 |             "Epoch 769/1000\n",
3554 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7499\n",
3555 |             "Epoch 770/1000\n",
3556 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7643\n",
3557 |             "Epoch 771/1000\n",
3558 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7731\n",
3559 |             "Epoch 772/1000\n",
3560 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7492\n",
3561 |             "Epoch 773/1000\n",
3562 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7302\n",
3563 |             "Epoch 774/1000\n",
3564 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7664\n",
3565 |             "Epoch 775/1000\n",
3566 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8070\n",
3567 |             "Epoch 776/1000\n",
3568 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7408\n",
3569 |             "Epoch 777/1000\n",
3570 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7724\n",
3571 |             "Epoch 778/1000\n",
3572 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7695\n",
3573 |             "Epoch 779/1000\n",
3574 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7098\n",
3575 |             "Epoch 780/1000\n",
3576 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7633\n",
3577 |             "Epoch 781/1000\n",
3578 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7694\n",
3579 |             "Epoch 782/1000\n",
3580 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7339\n",
3581 |             "Epoch 783/1000\n",
3582 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.6915\n",
3583 |             "Epoch 784/1000\n",
3584 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7184\n",
3585 |             "Epoch 785/1000\n",
3586 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7130\n",
3587 |             "Epoch 786/1000\n",
3588 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7601\n",
3589 |             "Epoch 787/1000\n",
3590 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7829\n",
3591 |             "Epoch 788/1000\n",
3592 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7057\n",
3593 |             "Epoch 789/1000\n",
3594 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7410\n",
3595 |             "Epoch 790/1000\n",
3596 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7769\n",
3597 |             "Epoch 791/1000\n",
3598 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7011\n",
3599 |             "Epoch 792/1000\n",
3600 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7128\n",
3601 |             "Epoch 793/1000\n",
3602 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7552\n",
3603 |             "Epoch 794/1000\n",
3604 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7380\n",
3605 |             "Epoch 795/1000\n",
3606 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7785\n",
3607 |             "Epoch 796/1000\n",
3608 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7324\n",
3609 |             "Epoch 797/1000\n",
3610 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7385\n",
3611 |             "Epoch 798/1000\n",
3612 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6807\n",
3613 |             "Epoch 799/1000\n",
3614 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7246\n",
3615 |             "Epoch 800/1000\n",
3616 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7740\n",
3617 |             "Epoch 801/1000\n",
3618 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7204\n",
3619 |             "Epoch 802/1000\n",
3620 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7077\n",
3621 |             "Epoch 803/1000\n",
3622 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6995\n",
3623 |             "Epoch 804/1000\n",
3624 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7239\n",
3625 |             "Epoch 805/1000\n",
3626 |             "1/1 [==============================] - 0s 35ms/step - loss: 4.7205\n",
3627 |             "Epoch 806/1000\n",
3628 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.8230\n",
3629 |             "Epoch 807/1000\n",
3630 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.6893\n",
3631 |             "Epoch 808/1000\n",
3632 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7717\n",
3633 |             "Epoch 809/1000\n",
3634 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7613\n",
3635 |             "Epoch 810/1000\n",
3636 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7243\n",
3637 |             "Epoch 811/1000\n",
3638 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7292\n",
3639 |             "Epoch 812/1000\n",
3640 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7510\n",
3641 |             "Epoch 813/1000\n",
3642 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6759\n",
3643 |             "Epoch 814/1000\n",
3644 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7641\n",
3645 |             "Epoch 815/1000\n",
3646 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7539\n",
3647 |             "Epoch 816/1000\n",
3648 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7916\n",
3649 |             "Epoch 817/1000\n",
3650 |             "1/1 [==============================] - 0s 36ms/step - loss: 4.7116\n",
3651 |             "Epoch 818/1000\n",
3652 |             "1/1 [==============================] - 0s 35ms/step - loss: 4.6884\n",
3653 |             "Epoch 819/1000\n",
3654 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7269\n",
3655 |             "Epoch 820/1000\n",
3656 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7314\n",
3657 |             "Epoch 821/1000\n",
3658 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7677\n",
3659 |             "Epoch 822/1000\n",
3660 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7301\n",
3661 |             "Epoch 823/1000\n",
3662 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7647\n",
3663 |             "Epoch 824/1000\n",
3664 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7513\n",
3665 |             "Epoch 825/1000\n",
3666 |             "1/1 [==============================] - 0s 33ms/step - loss: 4.6963\n",
3667 |             "Epoch 826/1000\n",
3668 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7342\n",
3669 |             "Epoch 827/1000\n",
3670 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7642\n",
3671 |             "Epoch 828/1000\n",
3672 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7479\n",
3673 |             "Epoch 829/1000\n",
3674 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7949\n",
3675 |             "Epoch 830/1000\n",
3676 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6706\n",
3677 |             "Epoch 831/1000\n",
3678 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6916\n",
3679 |             "Epoch 832/1000\n",
3680 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7087\n",
3681 |             "Epoch 833/1000\n",
3682 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7338\n",
3683 |             "Epoch 834/1000\n",
3684 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6733\n",
3685 |             "Epoch 835/1000\n",
3686 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6524\n",
3687 |             "Epoch 836/1000\n",
3688 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6926\n",
3689 |             "Epoch 837/1000\n",
3690 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7404\n",
3691 |             "Epoch 838/1000\n",
3692 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7430\n",
3693 |             "Epoch 839/1000\n",
3694 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7424\n",
3695 |             "Epoch 840/1000\n",
3696 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.7100\n",
3697 |             "Epoch 841/1000\n",
3698 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7646\n",
3699 |             "Epoch 842/1000\n",
3700 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6996\n",
3701 |             "Epoch 843/1000\n",
3702 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7778\n",
3703 |             "Epoch 844/1000\n",
3704 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6741\n",
3705 |             "Epoch 845/1000\n",
3706 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7852\n",
3707 |             "Epoch 846/1000\n",
3708 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7167\n",
3709 |             "Epoch 847/1000\n",
3710 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7495\n",
3711 |             "Epoch 848/1000\n",
3712 |             "1/1 [==============================] - 0s 38ms/step - loss: 4.7468\n",
3713 |             "Epoch 849/1000\n",
3714 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7041\n",
3715 |             "Epoch 850/1000\n",
3716 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7318\n",
3717 |             "Epoch 851/1000\n",
3718 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7247\n",
3719 |             "Epoch 852/1000\n",
3720 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7087\n",
3721 |             "Epoch 853/1000\n",
3722 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6757\n",
3723 |             "Epoch 854/1000\n",
3724 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.6580\n",
3725 |             "Epoch 855/1000\n",
3726 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7296\n",
3727 |             "Epoch 856/1000\n",
3728 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7326\n",
3729 |             "Epoch 857/1000\n",
3730 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7689\n",
3731 |             "Epoch 858/1000\n",
3732 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6973\n",
3733 |             "Epoch 859/1000\n",
3734 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6949\n",
3735 |             "Epoch 860/1000\n",
3736 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.6781\n",
3737 |             "Epoch 861/1000\n",
3738 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6184\n",
3739 |             "Epoch 862/1000\n",
3740 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7130\n",
3741 |             "Epoch 863/1000\n",
3742 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6560\n",
3743 |             "Epoch 864/1000\n",
3744 |             "1/1 [==============================] - 0s 36ms/step - loss: 4.7041\n",
3745 |             "Epoch 865/1000\n",
3746 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7195\n",
3747 |             "Epoch 866/1000\n",
3748 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7943\n",
3749 |             "Epoch 867/1000\n",
3750 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6633\n",
3751 |             "Epoch 868/1000\n",
3752 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7245\n",
3753 |             "Epoch 869/1000\n",
3754 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6798\n",
3755 |             "Epoch 870/1000\n",
3756 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7080\n",
3757 |             "Epoch 871/1000\n",
3758 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7405\n",
3759 |             "Epoch 872/1000\n",
3760 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6909\n",
3761 |             "Epoch 873/1000\n",
3762 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6593\n",
3763 |             "Epoch 874/1000\n",
3764 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7538\n",
3765 |             "Epoch 875/1000\n",
3766 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.6987\n",
3767 |             "Epoch 876/1000\n",
3768 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6698\n",
3769 |             "Epoch 877/1000\n",
3770 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6924\n",
3771 |             "Epoch 878/1000\n",
3772 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6815\n",
3773 |             "Epoch 879/1000\n",
3774 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6616\n",
3775 |             "Epoch 880/1000\n",
3776 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7358\n",
3777 |             "Epoch 881/1000\n",
3778 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.7111\n",
3779 |             "Epoch 882/1000\n",
3780 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.7272\n",
3781 |             "Epoch 883/1000\n",
3782 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6581\n",
3783 |             "Epoch 884/1000\n",
3784 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6736\n",
3785 |             "Epoch 885/1000\n",
3786 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7195\n",
3787 |             "Epoch 886/1000\n",
3788 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7161\n",
3789 |             "Epoch 887/1000\n",
3790 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7455\n",
3791 |             "Epoch 888/1000\n",
3792 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6901\n",
3793 |             "Epoch 889/1000\n",
3794 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6635\n",
3795 |             "Epoch 890/1000\n",
3796 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.7015\n",
3797 |             "Epoch 891/1000\n",
3798 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6744\n",
3799 |             "Epoch 892/1000\n",
3800 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7375\n",
3801 |             "Epoch 893/1000\n",
3802 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6727\n",
3803 |             "Epoch 894/1000\n",
3804 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6761\n",
3805 |             "Epoch 895/1000\n",
3806 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7526\n",
3807 |             "Epoch 896/1000\n",
3808 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6487\n",
3809 |             "Epoch 897/1000\n",
3810 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6784\n",
3811 |             "Epoch 898/1000\n",
3812 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6328\n",
3813 |             "Epoch 899/1000\n",
3814 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6563\n",
3815 |             "Epoch 900/1000\n",
3816 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6724\n",
3817 |             "Epoch 901/1000\n",
3818 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6988\n",
3819 |             "Epoch 902/1000\n",
3820 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6411\n",
3821 |             "Epoch 903/1000\n",
3822 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.6669\n",
3823 |             "Epoch 904/1000\n",
3824 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7202\n",
3825 |             "Epoch 905/1000\n",
3826 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7193\n",
3827 |             "Epoch 906/1000\n",
3828 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7337\n",
3829 |             "Epoch 907/1000\n",
3830 |             "1/1 [==============================] - 0s 34ms/step - loss: 4.6947\n",
3831 |             "Epoch 908/1000\n",
3832 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7447\n",
3833 |             "Epoch 909/1000\n",
3834 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6330\n",
3835 |             "Epoch 910/1000\n",
3836 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7403\n",
3837 |             "Epoch 911/1000\n",
3838 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6571\n",
3839 |             "Epoch 912/1000\n",
3840 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7235\n",
3841 |             "Epoch 913/1000\n",
3842 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7024\n",
3843 |             "Epoch 914/1000\n",
3844 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.6936\n",
3845 |             "Epoch 915/1000\n",
3846 |             "1/1 [==============================] - 0s 36ms/step - loss: 4.7352\n",
3847 |             "Epoch 916/1000\n",
3848 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6947\n",
3849 |             "Epoch 917/1000\n",
3850 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6828\n",
3851 |             "Epoch 918/1000\n",
3852 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7139\n",
3853 |             "Epoch 919/1000\n",
3854 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6762\n",
3855 |             "Epoch 920/1000\n",
3856 |             "1/1 [==============================] - 0s 33ms/step - loss: 4.6922\n",
3857 |             "Epoch 921/1000\n",
3858 |             "1/1 [==============================] - 0s 35ms/step - loss: 4.7086\n",
3859 |             "Epoch 922/1000\n",
3860 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7033\n",
3861 |             "Epoch 923/1000\n",
3862 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6780\n",
3863 |             "Epoch 924/1000\n",
3864 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6496\n",
3865 |             "Epoch 925/1000\n",
3866 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6885\n",
3867 |             "Epoch 926/1000\n",
3868 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7248\n",
3869 |             "Epoch 927/1000\n",
3870 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.5777\n",
3871 |             "Epoch 928/1000\n",
3872 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7340\n",
3873 |             "Epoch 929/1000\n",
3874 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7274\n",
3875 |             "Epoch 930/1000\n",
3876 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.6764\n",
3877 |             "Epoch 931/1000\n",
3878 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6760\n",
3879 |             "Epoch 932/1000\n",
3880 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6488\n",
3881 |             "Epoch 933/1000\n",
3882 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6892\n",
3883 |             "Epoch 934/1000\n",
3884 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6533\n",
3885 |             "Epoch 935/1000\n",
3886 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6031\n",
3887 |             "Epoch 936/1000\n",
3888 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6857\n",
3889 |             "Epoch 937/1000\n",
3890 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6651\n",
3891 |             "Epoch 938/1000\n",
3892 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7473\n",
3893 |             "Epoch 939/1000\n",
3894 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7159\n",
3895 |             "Epoch 940/1000\n",
3896 |             "1/1 [==============================] - 0s 33ms/step - loss: 4.6834\n",
3897 |             "Epoch 941/1000\n",
3898 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7152\n",
3899 |             "Epoch 942/1000\n",
3900 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.5657\n",
3901 |             "Epoch 943/1000\n",
3902 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6751\n",
3903 |             "Epoch 944/1000\n",
3904 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7163\n",
3905 |             "Epoch 945/1000\n",
3906 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6904\n",
3907 |             "Epoch 946/1000\n",
3908 |             "1/1 [==============================] - 0s 36ms/step - loss: 4.7130\n",
3909 |             "Epoch 947/1000\n",
3910 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7077\n",
3911 |             "Epoch 948/1000\n",
3912 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7031\n",
3913 |             "Epoch 949/1000\n",
3914 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.6824\n",
3915 |             "Epoch 950/1000\n",
3916 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6840\n",
3917 |             "Epoch 951/1000\n",
3918 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6969\n",
3919 |             "Epoch 952/1000\n",
3920 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.7630\n",
3921 |             "Epoch 953/1000\n",
3922 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7179\n",
3923 |             "Epoch 954/1000\n",
3924 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7370\n",
3925 |             "Epoch 955/1000\n",
3926 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6764\n",
3927 |             "Epoch 956/1000\n",
3928 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6743\n",
3929 |             "Epoch 957/1000\n",
3930 |             "1/1 [==============================] - 0s 32ms/step - loss: 4.7135\n",
3931 |             "Epoch 958/1000\n",
3932 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.6719\n",
3933 |             "Epoch 959/1000\n",
3934 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6937\n",
3935 |             "Epoch 960/1000\n",
3936 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6770\n",
3937 |             "Epoch 961/1000\n",
3938 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.6473\n",
3939 |             "Epoch 962/1000\n",
3940 |             "1/1 [==============================] - 0s 33ms/step - loss: 4.6999\n",
3941 |             "Epoch 963/1000\n",
3942 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6912\n",
3943 |             "Epoch 964/1000\n",
3944 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6669\n",
3945 |             "Epoch 965/1000\n",
3946 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6376\n",
3947 |             "Epoch 966/1000\n",
3948 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6483\n",
3949 |             "Epoch 967/1000\n",
3950 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6984\n",
3951 |             "Epoch 968/1000\n",
3952 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7515\n",
3953 |             "Epoch 969/1000\n",
3954 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6547\n",
3955 |             "Epoch 970/1000\n",
3956 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7154\n",
3957 |             "Epoch 971/1000\n",
3958 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7244\n",
3959 |             "Epoch 972/1000\n",
3960 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6364\n",
3961 |             "Epoch 973/1000\n",
3962 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6528\n",
3963 |             "Epoch 974/1000\n",
3964 |             "1/1 [==============================] - 0s 32ms/step - loss: 4.7207\n",
3965 |             "Epoch 975/1000\n",
3966 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7044\n",
3967 |             "Epoch 976/1000\n",
3968 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7439\n",
3969 |             "Epoch 977/1000\n",
3970 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7160\n",
3971 |             "Epoch 978/1000\n",
3972 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.7318\n",
3973 |             "Epoch 979/1000\n",
3974 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6851\n",
3975 |             "Epoch 980/1000\n",
3976 |             "1/1 [==============================] - 0s 30ms/step - loss: 4.7073\n",
3977 |             "Epoch 981/1000\n",
3978 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6802\n",
3979 |             "Epoch 982/1000\n",
3980 |             "1/1 [==============================] - 0s 40ms/step - loss: 4.6693\n",
3981 |             "Epoch 983/1000\n",
3982 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7157\n",
3983 |             "Epoch 984/1000\n",
3984 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6379\n",
3985 |             "Epoch 985/1000\n",
3986 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6830\n",
3987 |             "Epoch 986/1000\n",
3988 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6517\n",
3989 |             "Epoch 987/1000\n",
3990 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7014\n",
3991 |             "Epoch 988/1000\n",
3992 |             "1/1 [==============================] - 0s 32ms/step - loss: 4.6387\n",
3993 |             "Epoch 989/1000\n",
3994 |             "1/1 [==============================] - 0s 32ms/step - loss: 4.6900\n",
3995 |             "Epoch 990/1000\n",
3996 |             "1/1 [==============================] - 0s 35ms/step - loss: 4.6919\n",
3997 |             "Epoch 991/1000\n",
3998 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6953\n",
3999 |             "Epoch 992/1000\n",
4000 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7393\n",
4001 |             "Epoch 993/1000\n",
4002 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6423\n",
4003 |             "Epoch 994/1000\n",
4004 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6291\n",
4005 |             "Epoch 995/1000\n",
4006 |             "1/1 [==============================] - 0s 31ms/step - loss: 4.7041\n",
4007 |             "Epoch 996/1000\n",
4008 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.7425\n",
4009 |             "Epoch 997/1000\n",
4010 |             "1/1 [==============================] - 0s 27ms/step - loss: 4.6640\n",
4011 |             "Epoch 998/1000\n",
4012 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6980\n",
4013 |             "Epoch 999/1000\n",
4014 |             "1/1 [==============================] - 0s 28ms/step - loss: 4.6917\n",
4015 |             "Epoch 1000/1000\n",
4016 |             "1/1 [==============================] - 0s 29ms/step - loss: 4.6360\n"
4017 |           ],
4018 |           "name": "stdout"
4019 |         },
4020 |         {
4021 |           "output_type": "execute_result",
4022 |           "data": {
4023 |             "text/plain": [
4024 |               "<tensorflow.python.keras.callbacks.History at 0x7fb42cf379e8>"
4025 |             ]
4026 |           },
4027 |           "metadata": {
4028 |             "tags": []
4029 |           },
4030 |           "execution_count": 59
4031 |         }
4032 |       ]
4033 |     },
4034 |     {
4035 |       "cell_type": "code",
4036 |       "metadata": {
4037 |         "id": "A_ZDUrRAl4HP",
4038 |         "colab_type": "code",
4039 |         "colab": {}
4040 |       },
4041 |       "source": [
4042 |         "user_list_1=user_title_list[user_title_list.user>600]"
4043 |       ],
4044 |       "execution_count": null,
4045 |       "outputs": []
4046 |     },
4047 |     {
4048 |       "cell_type": "code",
4049 |       "metadata": {
4050 |         "id": "wNzj3no-5FF1",
4051 |         "colab_type": "code",
4052 |         "colab": {
4053 |           "base_uri": "https://localhost:8080/",
4054 |           "height": 699
4055 |         },
4056 |         "outputId": "7acbf994-623b-4749-81eb-bf919ef5e0a1"
4057 |       },
4058 |       "source": [
4059 |         "user_list_1.head(10)"
4060 |       ],
4061 |       "execution_count": null,
4062 |       "outputs": [
4063 |         {
4064 |           "output_type": "execute_result",
4065 |           "data": {
4066 |             "text/html": [
4067 |               "<div>\n",
4068 |               "<style scoped>\n",
4069 |               "    .dataframe tbody tr th:only-of-type {\n",
4070 |               "        vertical-align: middle;\n",
4071 |               "    }\n",
4072 |               "\n",
4073 |               "    .dataframe tbody tr th {\n",
4074 |               "        vertical-align: top;\n",
4075 |               "    }\n",
4076 |               "\n",
4077 |               "    .dataframe thead th {\n",
4078 |               "        text-align: right;\n",
4079 |               "    }\n",
4080 |               "</style>\n",
4081 |               "<table border=\"1\" class=\"dataframe\">\n",
4082 |               "  <thead>\n",
4083 |               "    <tr style=\"text-align: right;\">\n",
4084 |               "      <th></th>\n",
4085 |               "      <th>user</th>\n",
4086 |               "      <th>dislike</th>\n",
4087 |               "      <th>like</th>\n",
4088 |               "      <th>title_d</th>\n",
4089 |               "      <th>all_genres</th>\n",
4090 |               "      <th>occupation</th>\n",
4091 |               "      <th>sex</th>\n",
4092 |               "      <th>predict_labels</th>\n",
4093 |               "    </tr>\n",
4094 |               "  </thead>\n",
4095 |               "  <tbody>\n",
4096 |               "    <tr>\n",
4097 |               "      <th>601</th>\n",
4098 |               "      <td>601</td>\n",
4099 |               "      <td>[326]</td>\n",
4100 |               "      <td>[309, 786, 870, 361, 298, 308, 457, 716, 127, ...</td>\n",
4101 |               "      <td>[307, 777, 860, 358, 296, 306, 324, 454, 708, ...</td>\n",
4102 |               "      <td>[8, 4, 2, 5, 7, 6, 3, 1]</td>\n",
4103 |               "      <td>other</td>\n",
4104 |               "      <td>F</td>\n",
4105 |               "      <td>43</td>\n",
4106 |               "    </tr>\n",
4107 |               "    <tr>\n",
4108 |               "      <th>602</th>\n",
4109 |               "      <td>602</td>\n",
4110 |               "      <td>[254, 179, 295, 936, 136, 405, 152]</td>\n",
4111 |               "      <td>[249, 243, 17, 184, 176, 153, 379, 412, 376, 2...</td>\n",
4112 |               "      <td>[248, 242, 253, 17, 183, 175, 152, 178, 376, 4...</td>\n",
4113 |               "      <td>[4, 8, 2, 5, 7, 6, 0, 3, 1]</td>\n",
4114 |               "      <td>programmer</td>\n",
4115 |               "      <td>M</td>\n",
4116 |               "      <td>921</td>\n",
4117 |               "    </tr>\n",
4118 |               "    <tr>\n",
4119 |               "      <th>603</th>\n",
4120 |               "      <td>603</td>\n",
4121 |               "      <td>[63, 87, 82, 423, 268, 158, 426, 653]</td>\n",
4122 |               "      <td>[72, 8, 56, 132, 241, 27, 163, 148, 652, 372, ...</td>\n",
4123 |               "      <td>[72, 8, 56, 131, 63, 240, 27, 87, 162, 147, 64...</td>\n",
4124 |               "      <td>[8, 4, 2, 5, 7, 6, 9, 1]</td>\n",
4125 |               "      <td>educator</td>\n",
4126 |               "      <td>M</td>\n",
4127 |               "      <td>657</td>\n",
4128 |               "    </tr>\n",
4129 |               "    <tr>\n",
4130 |               "      <th>604</th>\n",
4131 |               "      <td>604</td>\n",
4132 |               "      <td>[309, 340, 11, 539, 81, 53, 1042, 930, 39, 610...</td>\n",
4133 |               "      <td>[272, 171, 302, 349, 275, 298, 758, 276, 761, ...</td>\n",
4134 |               "      <td>[271, 170, 307, 300, 347, 274, 296, 338, 749, ...</td>\n",
4135 |               "      <td>[4, 8, 2, 5, 7, 6, 0, 3, 1]</td>\n",
4136 |               "      <td>engineer</td>\n",
4137 |               "      <td>M</td>\n",
4138 |               "      <td>481</td>\n",
4139 |               "    </tr>\n",
4140 |               "    <tr>\n",
4141 |               "      <th>605</th>\n",
4142 |               "      <td>605</td>\n",
4143 |               "      <td>[918, 298, 362, 1043, 201, 114, 71, 219, 501, ...</td>\n",
4144 |               "      <td>[275, 539, 336, 17, 256, 21, 721, 10, 9, 131, ...</td>\n",
4145 |               "      <td>[274, 534, 334, 17, 255, 21, 713, 10, 9, 130, ...</td>\n",
4146 |               "      <td>[0, 8, 4, 2, 5, 7, 6, 9, 3, 1]</td>\n",
4147 |               "      <td>programmer</td>\n",
4148 |               "      <td>M</td>\n",
4149 |               "      <td>1181</td>\n",
4150 |               "    </tr>\n",
4151 |               "    <tr>\n",
4152 |               "      <th>606</th>\n",
4153 |               "      <td>606</td>\n",
4154 |               "      <td>[39]</td>\n",
4155 |               "      <td>[785, 477, 241, 512, 529, 498, 377, 109, 486, ...</td>\n",
4156 |               "      <td>[776, 474, 240, 507, 524, 495, 374, 109, 483, ...</td>\n",
4157 |               "      <td>[4, 8, 2, 5, 7, 6, 3, 1]</td>\n",
4158 |               "      <td>healthcare</td>\n",
4159 |               "      <td>F</td>\n",
4160 |               "      <td>191</td>\n",
4161 |               "    </tr>\n",
4162 |               "    <tr>\n",
4163 |               "      <th>607</th>\n",
4164 |               "      <td>607</td>\n",
4165 |               "      <td>[309, 344, 307, 760, 347, 276, 57, 1202, 17, 1...</td>\n",
4166 |               "      <td>[272, 171, 20, 298, 689, 273, 331, 275, 318, 3...</td>\n",
4167 |               "      <td>[271, 170, 307, 20, 342, 296, 305, 681, 751, 3...</td>\n",
4168 |               "      <td>[9, 4, 8, 2, 5, 7, 6, 0, 3, 1]</td>\n",
4169 |               "      <td>other</td>\n",
4170 |               "      <td>M</td>\n",
4171 |               "      <td>134</td>\n",
4172 |               "    </tr>\n",
4173 |               "    <tr>\n",
4174 |               "      <th>608</th>\n",
4175 |               "      <td>608</td>\n",
4176 |               "      <td>[275, 115, 298, 321, 885, 323, 127, 457, 874, ...</td>\n",
4177 |               "      <td>[305, 250, 303, 289, 30, 221, 712, 308, 782]</td>\n",
4178 |               "      <td>[303, 274, 249, 301, 287, 115, 30, 220, 296, 7...</td>\n",
4179 |               "      <td>[8, 4, 2, 5, 6, 3, 1]</td>\n",
4180 |               "      <td>student</td>\n",
4181 |               "      <td>F</td>\n",
4182 |               "      <td>444</td>\n",
4183 |               "    </tr>\n",
4184 |               "    <tr>\n",
4185 |               "      <th>609</th>\n",
4186 |               "      <td>609</td>\n",
4187 |               "      <td>[298, 254, 323, 27, 58, 84, 463, 711]</td>\n",
4188 |               "      <td>[279, 348, 275, 714, 253, 712, 305, 89, 512, 6...</td>\n",
4189 |               "      <td>[278, 346, 274, 296, 706, 253, 321, 252, 704, ...</td>\n",
4190 |               "      <td>[9, 8, 4, 2, 5, 7, 6, 0, 3, 1]</td>\n",
4191 |               "      <td>student</td>\n",
4192 |               "      <td>M</td>\n",
4193 |               "      <td>428</td>\n",
4194 |               "    </tr>\n",
4195 |               "    <tr>\n",
4196 |               "      <th>610</th>\n",
4197 |               "      <td>610</td>\n",
4198 |               "      <td>[785, 282, 904, 334]</td>\n",
4199 |               "      <td>[171, 302, 275, 316, 278, 317, 306, 689, 253, ...</td>\n",
4200 |               "      <td>[170, 300, 274, 314, 277, 315, 304, 681, 252, ...</td>\n",
4201 |               "      <td>[8, 4, 2, 5, 7, 6, 0, 3, 1]</td>\n",
4202 |               "      <td>librarian</td>\n",
4203 |               "      <td>M</td>\n",
4204 |               "      <td>330</td>\n",
4205 |               "    </tr>\n",
4206 |               "  </tbody>\n",
4207 |               "</table>\n",
4208 |               "</div>"
4209 |             ],
4210 |             "text/plain": [
4211 |               "     user  ... predict_labels\n",
4212 |               "601   601  ...             43\n",
4213 |               "602   602  ...            921\n",
4214 |               "603   603  ...            657\n",
4215 |               "604   604  ...            481\n",
4216 |               "605   605  ...           1181\n",
4217 |               "606   606  ...            191\n",
4218 |               "607   607  ...            134\n",
4219 |               "608   608  ...            444\n",
4220 |               "609   609  ...            428\n",
4221 |               "610   610  ...            330\n",
4222 |               "\n",
4223 |               "[10 rows x 8 columns]"
4224 |             ]
4225 |           },
4226 |           "metadata": {
4227 |             "tags": []
4228 |           },
4229 |           "execution_count": 61
4230 |         }
4231 |       ]
4232 |     },
4233 |     {
4234 |       "cell_type": "code",
4235 |       "metadata": {
4236 |         "id": "PvrKzKZPkh4Y",
4237 |         "colab_type": "code",
4238 |         "colab": {
4239 |           "base_uri": "https://localhost:8080/",
4240 |           "height": 173
4241 |         },
4242 |         "outputId": "cb1c91ea-d4c9-4c8b-854f-f8c4b9caa3b0"
4243 |       },
4244 |       "source": [
4245 |         "\n",
4246 |         "predict =model.predict([tf.keras.preprocessing.sequence.pad_sequences(user_list_1['title_d']),\n",
4247 |         "          tf.keras.preprocessing.sequence.pad_sequences(user_list_1['like']),\n",
4248 |         "          tf.keras.preprocessing.sequence.pad_sequences(user_list_1['dislike']),\n",
4249 |         "          tf.keras.preprocessing.sequence.pad_sequences(user_list_1['all_genres'])\n",
4250 |         "          ])\n"
4251 |       ],
4252 |       "execution_count": null,
4253 |       "outputs": [
4254 |         {
4255 |           "output_type": "stream",
4256 |           "text": [
4257 |             "WARNING:tensorflow:6 out of the last 13 calls to <function L2NormLayer.call at 0x7fb42d09cf28> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings is likely due to passing python objects instead of tensors. Also, tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. Please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n",
4258 |             "WARNING:tensorflow:7 out of the last 14 calls to <function L2NormLayer.call at 0x7fb42d09cf28> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings is likely due to passing python objects instead of tensors. Also, tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. Please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n",
4259 |             "WARNING:tensorflow:7 out of the last 11 calls to <function L2NormLayer.call at 0x7fb42d09cf28> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings is likely due to passing python objects instead of tensors. Also, tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. Please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n",
4260 |             "WARNING:tensorflow:7 out of the last 11 calls to <function L2NormLayer.call at 0x7fb42d09cf28> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings is likely due to passing python objects instead of tensors. Also, tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. Please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n",
4261 |             "WARNING:tensorflow:6 out of the last 13 calls to <function MaskedEmbeddingsAggregatorLayer.call at 0x7fb42d0dec80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings is likely due to passing python objects instead of tensors. Also, tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. Please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n",
4262 |             "WARNING:tensorflow:7 out of the last 14 calls to <function MaskedEmbeddingsAggregatorLayer.call at 0x7fb42d0dec80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings is likely due to passing python objects instead of tensors. Also, tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. Please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n",
4263 |             "WARNING:tensorflow:7 out of the last 11 calls to <function MaskedEmbeddingsAggregatorLayer.call at 0x7fb42d0dec80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings is likely due to passing python objects instead of tensors. Also, tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. Please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n",
4264 |             "WARNING:tensorflow:7 out of the last 11 calls to <function MaskedEmbeddingsAggregatorLayer.call at 0x7fb42d0dec80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings is likely due to passing python objects instead of tensors. Also, tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. Please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n"
4265 |           ],
4266 |           "name": "stdout"
4267 |         }
4268 |       ]
4269 |     },
4270 |     {
4271 |       "cell_type": "code",
4272 |       "metadata": {
4273 |         "id": "XUVbajaou5dw",
4274 |         "colab_type": "code",
4275 |         "colab": {}
4276 |       },
4277 |       "source": [
4278 |         "predictions = np.array([np.argmax(a) for a in predict])"
4279 |       ],
4280 |       "execution_count": null,
4281 |       "outputs": []
4282 |     },
4283 |     {
4284 |       "cell_type": "code",
4285 |       "metadata": {
4286 |         "id": "gCgcShKIt0rw",
4287 |         "colab_type": "code",
4288 |         "colab": {
4289 |           "base_uri": "https://localhost:8080/",
4290 |           "height": 139
4291 |         },
4292 |         "outputId": "47fa3add-6f38-4aae-8f58-fe92485fec2a"
4293 |       },
4294 |       "source": [
4295 |         "user_list_1['predicted_label'] = predictions"
4296 |       ],
4297 |       "execution_count": null,
4298 |       "outputs": [
4299 |         {
4300 |           "output_type": "stream",
4301 |           "text": [
4302 |             "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
4303 |             "A value is trying to be set on a copy of a slice from a DataFrame.\n",
4304 |             "Try using .loc[row_indexer,col_indexer] = value instead\n",
4305 |             "\n",
4306 |             "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
4307 |             "  \"\"\"Entry point for launching an IPython kernel.\n"
4308 |           ],
4309 |           "name": "stderr"
4310 |         }
4311 |       ]
4312 |     },
4313 |     {
4314 |       "cell_type": "code",
4315 |       "metadata": {
4316 |         "id": "7zUlDEifugRm",
4317 |         "colab_type": "code",
4318 |         "colab": {
4319 |           "base_uri": "https://localhost:8080/",
4320 |           "height": 929
4321 |         },
4322 |         "outputId": "db220707-4199-4197-e5c4-4b616a48fc90"
4323 |       },
4324 |       "source": [
4325 |         "user_list_1"
4326 |       ],
4327 |       "execution_count": null,
4328 |       "outputs": [
4329 |         {
4330 |           "output_type": "execute_result",
4331 |           "data": {
4332 |             "text/html": [
4333 |               "<div>\n",
4334 |               "<style scoped>\n",
4335 |               "    .dataframe tbody tr th:only-of-type {\n",
4336 |               "        vertical-align: middle;\n",
4337 |               "    }\n",
4338 |               "\n",
4339 |               "    .dataframe tbody tr th {\n",
4340 |               "        vertical-align: top;\n",
4341 |               "    }\n",
4342 |               "\n",
4343 |               "    .dataframe thead th {\n",
4344 |               "        text-align: right;\n",
4345 |               "    }\n",
4346 |               "</style>\n",
4347 |               "<table border=\"1\" class=\"dataframe\">\n",
4348 |               "  <thead>\n",
4349 |               "    <tr style=\"text-align: right;\">\n",
4350 |               "      <th></th>\n",
4351 |               "      <th>user</th>\n",
4352 |               "      <th>dislike</th>\n",
4353 |               "      <th>like</th>\n",
4354 |               "      <th>title_d</th>\n",
4355 |               "      <th>all_genres</th>\n",
4356 |               "      <th>occupation</th>\n",
4357 |               "      <th>sex</th>\n",
4358 |               "      <th>predict_labels</th>\n",
4359 |               "      <th>predicted_label</th>\n",
4360 |               "    </tr>\n",
4361 |               "  </thead>\n",
4362 |               "  <tbody>\n",
4363 |               "    <tr>\n",
4364 |               "      <th>601</th>\n",
4365 |               "      <td>601</td>\n",
4366 |               "      <td>[326]</td>\n",
4367 |               "      <td>[309, 786, 870, 361, 298, 308, 457, 716, 127, ...</td>\n",
4368 |               "      <td>[307, 777, 860, 358, 296, 306, 324, 454, 708, ...</td>\n",
4369 |               "      <td>[8, 4, 2, 5, 7, 6, 3, 1]</td>\n",
4370 |               "      <td>other</td>\n",
4371 |               "      <td>F</td>\n",
4372 |               "      <td>43</td>\n",
4373 |               "      <td>539</td>\n",
4374 |               "    </tr>\n",
4375 |               "    <tr>\n",
4376 |               "      <th>602</th>\n",
4377 |               "      <td>602</td>\n",
4378 |               "      <td>[254, 179, 295, 936, 136, 405, 152]</td>\n",
4379 |               "      <td>[249, 243, 17, 184, 176, 153, 379, 412, 376, 2...</td>\n",
4380 |               "      <td>[248, 242, 253, 17, 183, 175, 152, 178, 376, 4...</td>\n",
4381 |               "      <td>[4, 8, 2, 5, 7, 6, 0, 3, 1]</td>\n",
4382 |               "      <td>programmer</td>\n",
4383 |               "      <td>M</td>\n",
4384 |               "      <td>921</td>\n",
4385 |               "      <td>916</td>\n",
4386 |               "    </tr>\n",
4387 |               "    <tr>\n",
4388 |               "      <th>603</th>\n",
4389 |               "      <td>603</td>\n",
4390 |               "      <td>[63, 87, 82, 423, 268, 158, 426, 653]</td>\n",
4391 |               "      <td>[72, 8, 56, 132, 241, 27, 163, 148, 652, 372, ...</td>\n",
4392 |               "      <td>[72, 8, 56, 131, 63, 240, 27, 87, 162, 147, 64...</td>\n",
4393 |               "      <td>[8, 4, 2, 5, 7, 6, 9, 1]</td>\n",
4394 |               "      <td>educator</td>\n",
4395 |               "      <td>M</td>\n",
4396 |               "      <td>657</td>\n",
4397 |               "      <td>786</td>\n",
4398 |               "    </tr>\n",
4399 |               "    <tr>\n",
4400 |               "      <th>604</th>\n",
4401 |               "      <td>604</td>\n",
4402 |               "      <td>[309, 340, 11, 539, 81, 53, 1042, 930, 39, 610...</td>\n",
4403 |               "      <td>[272, 171, 302, 349, 275, 298, 758, 276, 761, ...</td>\n",
4404 |               "      <td>[271, 170, 307, 300, 347, 274, 296, 338, 749, ...</td>\n",
4405 |               "      <td>[4, 8, 2, 5, 7, 6, 0, 3, 1]</td>\n",
4406 |               "      <td>engineer</td>\n",
4407 |               "      <td>M</td>\n",
4408 |               "      <td>481</td>\n",
4409 |               "      <td>200</td>\n",
4410 |               "    </tr>\n",
4411 |               "    <tr>\n",
4412 |               "      <th>605</th>\n",
4413 |               "      <td>605</td>\n",
4414 |               "      <td>[918, 298, 362, 1043, 201, 114, 71, 219, 501, ...</td>\n",
4415 |               "      <td>[275, 539, 336, 17, 256, 21, 721, 10, 9, 131, ...</td>\n",
4416 |               "      <td>[274, 534, 334, 17, 255, 21, 713, 10, 9, 130, ...</td>\n",
4417 |               "      <td>[0, 8, 4, 2, 5, 7, 6, 9, 3, 1]</td>\n",
4418 |               "      <td>programmer</td>\n",
4419 |               "      <td>M</td>\n",
4420 |               "      <td>1181</td>\n",
4421 |               "      <td>336</td>\n",
4422 |               "    </tr>\n",
4423 |               "    <tr>\n",
4424 |               "      <th>...</th>\n",
4425 |               "      <td>...</td>\n",
4426 |               "      <td>...</td>\n",
4427 |               "      <td>...</td>\n",
4428 |               "      <td>...</td>\n",
4429 |               "      <td>...</td>\n",
4430 |               "      <td>...</td>\n",
4431 |               "      <td>...</td>\n",
4432 |               "      <td>...</td>\n",
4433 |               "      <td>...</td>\n",
4434 |               "    </tr>\n",
4435 |               "    <tr>\n",
4436 |               "      <th>938</th>\n",
4437 |               "      <td>938</td>\n",
4438 |               "      <td>[542, 251, 872, 936]</td>\n",
4439 |               "      <td>[332, 685, 250, 8, 247, 15, 285, 980, 1181, 71...</td>\n",
4440 |               "      <td>[250, 330, 677, 250, 862, 249, 8, 246, 15, 283...</td>\n",
4441 |               "      <td>[8, 4, 2, 5, 7, 6, 9, 3, 1]</td>\n",
4442 |               "      <td>student</td>\n",
4443 |               "      <td>F</td>\n",
4444 |               "      <td>172</td>\n",
4445 |               "      <td>336</td>\n",
4446 |               "    </tr>\n",
4447 |               "    <tr>\n",
4448 |               "      <th>939</th>\n",
4449 |               "      <td>939</td>\n",
4450 |               "      <td>[321, 31, 254, 361, 326, 54, 1402, 267, 161, 2...</td>\n",
4451 |               "      <td>[272, 307, 276, 543, 346, 279, 310, 714, 302, ...</td>\n",
4452 |               "      <td>[271, 319, 305, 275, 537, 344, 31, 253, 278, 3...</td>\n",
4453 |               "      <td>[4, 8, 2, 5, 7, 6, 0, 3, 1]</td>\n",
4454 |               "      <td>administrator</td>\n",
4455 |               "      <td>M</td>\n",
4456 |               "      <td>311</td>\n",
4457 |               "      <td>336</td>\n",
4458 |               "    </tr>\n",
4459 |               "    <tr>\n",
4460 |               "      <th>940</th>\n",
4461 |               "      <td>940</td>\n",
4462 |               "      <td>[361, 249]</td>\n",
4463 |               "      <td>[250, 309, 298, 11, 444, 10, 918, 290, 15, 27,...</td>\n",
4464 |               "      <td>[249, 307, 296, 358, 11, 441, 10, 908, 288, 15...</td>\n",
4465 |               "      <td>[8, 4, 2, 5, 7, 6, 3, 1]</td>\n",
4466 |               "      <td>student</td>\n",
4467 |               "      <td>M</td>\n",
4468 |               "      <td>30</td>\n",
4469 |               "      <td>97</td>\n",
4470 |               "    </tr>\n",
4471 |               "    <tr>\n",
4472 |               "      <th>941</th>\n",
4473 |               "      <td>941</td>\n",
4474 |               "      <td>[171]</td>\n",
4475 |               "      <td>[712, 279, 346, 307, 305, 253, 357, 250, 308, ...</td>\n",
4476 |               "      <td>[704, 278, 344, 170, 305, 303, 252, 354, 249, ...</td>\n",
4477 |               "      <td>[0, 8, 4, 2, 5, 7, 6, 9, 3, 1]</td>\n",
4478 |               "      <td>librarian</td>\n",
4479 |               "      <td>F</td>\n",
4480 |               "      <td>48</td>\n",
4481 |               "      <td>336</td>\n",
4482 |               "    </tr>\n",
4483 |               "    <tr>\n",
4484 |               "      <th>942</th>\n",
4485 |               "      <td>942</td>\n",
4486 |               "      <td>[1076, 366, 1029, 887, 1043, 301, 849, 1008, 1...</td>\n",
4487 |               "      <td>[65, 10, 50, 109, 241, 8, 464, 790, 17, 462, 1...</td>\n",
4488 |               "      <td>[65, 10, 50, 109, 240, 1065, 8, 461, 780, 17, ...</td>\n",
4489 |               "      <td>[4, 8, 2, 5, 7, 6, 9, 3, 1]</td>\n",
4490 |               "      <td>student</td>\n",
4491 |               "      <td>M</td>\n",
4492 |               "      <td>132</td>\n",
4493 |               "      <td>336</td>\n",
4494 |               "    </tr>\n",
4495 |               "  </tbody>\n",
4496 |               "</table>\n",
4497 |               "<p>342 rows × 9 columns</p>\n",
4498 |               "</div>"
4499 |             ],
4500 |             "text/plain": [
4501 |               "     user  ... predicted_label\n",
4502 |               "601   601  ...             539\n",
4503 |               "602   602  ...             916\n",
4504 |               "603   603  ...             786\n",
4505 |               "604   604  ...             200\n",
4506 |               "605   605  ...             336\n",
4507 |               "..    ...  ...             ...\n",
4508 |               "938   938  ...             336\n",
4509 |               "939   939  ...             336\n",
4510 |               "940   940  ...              97\n",
4511 |               "941   941  ...             336\n",
4512 |               "942   942  ...             336\n",
4513 |               "\n",
4514 |               "[342 rows x 9 columns]"
4515 |             ]
4516 |           },
4517 |           "metadata": {
4518 |             "tags": []
4519 |           },
4520 |           "execution_count": 68
4521 |         }
4522 |       ]
4523 |     },
4524 |     {
4525 |       "cell_type": "code",
4526 |       "metadata": {
4527 |         "id": "3hGFnFYBkh_h",
4528 |         "colab_type": "code",
4529 |         "colab": {
4530 |           "base_uri": "https://localhost:8080/",
4531 |           "height": 153
4532 |         },
4533 |         "outputId": "35c99635-3be9-4ed3-ef1a-373b1b11f605"
4534 |       },
4535 |       "source": [
4536 |         "print(tf.argsort(predict,direction='DESCENDING',axis=-1))"
4537 |       ],
4538 |       "execution_count": null,
4539 |       "outputs": [
4540 |         {
4541 |           "output_type": "stream",
4542 |           "text": [
4543 |             "tf.Tensor(\n",
4544 |             "[[ 539    6  250 ... 1561 1164   20]\n",
4545 |             " [ 916  726  336 ...  430  811   63]\n",
4546 |             " [ 786  685  326 ...  665 1665 1615]\n",
4547 |             " ...\n",
4548 |             " [  97  376  473 ...  430   96  162]\n",
4549 |             " [ 336  716  937 ... 1343  220  159]\n",
4550 |             " [ 336  716  937 ... 1343  220  159]], shape=(342, 1683), dtype=int32)\n"
4551 |           ],
4552 |           "name": "stdout"
4553 |         }
4554 |       ]
4555 |     },
4556 |     {
4557 |       "cell_type": "code",
4558 |       "metadata": {
4559 |         "id": "CpPmlMgXXOHd",
4560 |         "colab_type": "code",
4561 |         "colab": {
4562 |           "base_uri": "https://localhost:8080/",
4563 |           "height": 374
4564 |         },
4565 |         "outputId": "ed1d6ca0-520b-45eb-f68a-35089132bdbb"
4566 |       },
4567 |       "source": [
4568 |         "tf.nn.top_k(\n",
4569 |         "    predict,\n",
4570 |         "    k=20,\n",
4571 |         "    sorted=True,\n",
4572 |         "    name=None\n",
4573 |         ")"
4574 |       ],
4575 |       "execution_count": null,
4576 |       "outputs": [
4577 |         {
4578 |           "output_type": "execute_result",
4579 |           "data": {
4580 |             "text/plain": [
4581 |               "TopKV2(values=<tf.Tensor: shape=(342, 20), dtype=float32, numpy=\n",
4582 |               "array([[0.01828908, 0.01587116, 0.0143125 , ..., 0.0081482 , 0.00813982,\n",
4583 |               "        0.00785915],\n",
4584 |               "       [0.27056417, 0.17075664, 0.15351553, ..., 0.00449383, 0.00404884,\n",
4585 |               "        0.00347649],\n",
4586 |               "       [0.01993676, 0.01731513, 0.01550991, ..., 0.00978938, 0.00964544,\n",
4587 |               "        0.00950752],\n",
4588 |               "       ...,\n",
4589 |               "       [0.14553824, 0.12785448, 0.07932664, ..., 0.00572439, 0.00541566,\n",
4590 |               "        0.00513971],\n",
4591 |               "       [0.02236108, 0.02009165, 0.01455817, ..., 0.00756362, 0.00729877,\n",
4592 |               "        0.00706648],\n",
4593 |               "       [0.02236108, 0.02009165, 0.01455817, ..., 0.00756362, 0.00729877,\n",
4594 |               "        0.00706648]], dtype=float32)>, indices=<tf.Tensor: shape=(342, 20), dtype=int32, numpy=\n",
4595 |               "array([[ 539,    6,  250, ...,   33,  367,  875],\n",
4596 |               "       [ 916,  726,  336, ...,  311,  247, 1093],\n",
4597 |               "       [ 786,  685,  326, ..., 1040, 1019,  706],\n",
4598 |               "       ...,\n",
4599 |               "       [  97,  376,  473, ...,   16,  305,   52],\n",
4600 |               "       [ 336,  716,  937, ...,   27,  508,   82],\n",
4601 |               "       [ 336,  716,  937, ...,   27,  508,   82]], dtype=int32)>)"
4602 |             ]
4603 |           },
4604 |           "metadata": {
4605 |             "tags": []
4606 |           },
4607 |           "execution_count": 72
4608 |         }
4609 |       ]
4610 |     },
4611 |     {
4612 |       "cell_type": "code",
4613 |       "metadata": {
4614 |         "id": "PHzdoH5e1Ssp",
4615 |         "colab_type": "code",
4616 |         "colab": {}
4617 |       },
4618 |       "source": [
4619 |         "s=[i for i in range(len(movie2movie_encoded)) if movie2movie_encoded[i] == 365 ]"
4620 |       ],
4621 |       "execution_count": null,
4622 |       "outputs": []
4623 |     },
4624 |     {
4625 |       "cell_type": "code",
4626 |       "metadata": {
4627 |         "id": "jAvk4Zxy16EP",
4628 |         "colab_type": "code",
4629 |         "colab": {
4630 |           "base_uri": "https://localhost:8080/",
4631 |           "height": 151
4632 |         },
4633 |         "outputId": "2b946897-6664-49db-8a77-4bc9f5d25ba0"
4634 |       },
4635 |       "source": [
4636 |         "movies[movies.movie_id == ''.join(str(s[0]))]"
4637 |       ],
4638 |       "execution_count": null,
4639 |       "outputs": [
4640 |         {
4641 |           "output_type": "execute_result",
4642 |           "data": {
4643 |             "text/html": [
4644 |               "<div>\n",
4645 |               "<style scoped>\n",
4646 |               "    .dataframe tbody tr th:only-of-type {\n",
4647 |               "        vertical-align: middle;\n",
4648 |               "    }\n",
4649 |               "\n",
4650 |               "    .dataframe tbody tr th {\n",
4651 |               "        vertical-align: top;\n",
4652 |               "    }\n",
4653 |               "\n",
4654 |               "    .dataframe thead th {\n",
4655 |               "        text-align: right;\n",
4656 |               "    }\n",
4657 |               "</style>\n",
4658 |               "<table border=\"1\" class=\"dataframe\">\n",
4659 |               "  <thead>\n",
4660 |               "    <tr style=\"text-align: right;\">\n",
4661 |               "      <th></th>\n",
4662 |               "      <th>movie_id</th>\n",
4663 |               "      <th>title</th>\n",
4664 |               "      <th>release_date</th>\n",
4665 |               "      <th>video_release_date</th>\n",
4666 |               "      <th>imdb_url</th>\n",
4667 |               "      <th>genre_unknown</th>\n",
4668 |               "      <th>Action</th>\n",
4669 |               "      <th>Adventure</th>\n",
4670 |               "      <th>Animation</th>\n",
4671 |               "      <th>Children</th>\n",
4672 |               "      <th>Comedy</th>\n",
4673 |               "      <th>Crime</th>\n",
4674 |               "      <th>Documentary</th>\n",
4675 |               "      <th>Drama</th>\n",
4676 |               "      <th>Fantasy</th>\n",
4677 |               "      <th>Film-Noir</th>\n",
4678 |               "      <th>Horror</th>\n",
4679 |               "      <th>Musical</th>\n",
4680 |               "      <th>Mystery</th>\n",
4681 |               "      <th>Romance</th>\n",
4682 |               "      <th>Sci-Fi</th>\n",
4683 |               "      <th>Thriller</th>\n",
4684 |               "      <th>War</th>\n",
4685 |               "      <th>Western</th>\n",
4686 |               "      <th>year</th>\n",
4687 |               "      <th>all_genres</th>\n",
4688 |               "    </tr>\n",
4689 |               "  </thead>\n",
4690 |               "  <tbody>\n",
4691 |               "    <tr>\n",
4692 |               "      <th>368</th>\n",
4693 |               "      <td>368</td>\n",
4694 |               "      <td>Black Sheep (1996)</td>\n",
4695 |               "      <td>02-Feb-1996</td>\n",
4696 |               "      <td>NaN</td>\n",
4697 |               "      <td>http://us.imdb.com/M/title-exact?Black%20Sheep...</td>\n",
4698 |               "      <td>0</td>\n",
4699 |               "      <td>0</td>\n",
4700 |               "      <td>0</td>\n",
4701 |               "      <td>0</td>\n",
4702 |               "      <td>0</td>\n",
4703 |               "      <td>1</td>\n",
4704 |               "      <td>0</td>\n",
4705 |               "      <td>0</td>\n",
4706 |               "      <td>0</td>\n",
4707 |               "      <td>0</td>\n",
4708 |               "      <td>0</td>\n",
4709 |               "      <td>0</td>\n",
4710 |               "      <td>0</td>\n",
4711 |               "      <td>0</td>\n",
4712 |               "      <td>0</td>\n",
4713 |               "      <td>0</td>\n",
4714 |               "      <td>0</td>\n",
4715 |               "      <td>0</td>\n",
4716 |               "      <td>0</td>\n",
4717 |               "      <td>1996</td>\n",
4718 |               "      <td>5</td>\n",
4719 |               "    </tr>\n",
4720 |               "  </tbody>\n",
4721 |               "</table>\n",
4722 |               "</div>"
4723 |             ],
4724 |             "text/plain": [
4725 |               "    movie_id               title release_date  ...  Western  year  all_genres\n",
4726 |               "368      368  Black Sheep (1996)  02-Feb-1996  ...        0  1996           5\n",
4727 |               "\n",
4728 |               "[1 rows x 26 columns]"
4729 |             ]
4730 |           },
4731 |           "metadata": {
4732 |             "tags": []
4733 |           },
4734 |           "execution_count": 74
4735 |         }
4736 |       ]
4737 |     },
4738 |     {
4739 |       "cell_type": "markdown",
4740 |       "metadata": {
4741 |         "id": "128SyQz4ili7",
4742 |         "colab_type": "text"
4743 |       },
4744 |       "source": [
4745 |         "### Visualize Embeddings "
4746 |       ]
4747 |     },
4748 |     {
4749 |       "cell_type": "code",
4750 |       "metadata": {
4751 |         "id": "vU7Ml7qHmUV1",
4752 |         "colab_type": "code",
4753 |         "colab": {}
4754 |       },
4755 |       "source": [
4756 |         "import io\n",
4757 |         "out_v = io.open('vecs.tsv', 'w', encoding='utf-8')\n",
4758 |         "out_m = io.open('meta.tsv', 'w', encoding='utf-8')\n",
4759 |         "#weights =model.layers[4].get_weights()[0]\n",
4760 |         "weights = features_embedding_layer.get_weights()[0][1:]\n",
4761 |         "\n",
4762 |         "for num, word in enumerate(title2title_encoded):\n",
4763 |         "  vec = weights[num+1] # skip 0, it's padding.\n",
4764 |         "  out_m.write(word + \"\\n\")\n",
4765 |         "  out_v.write('\\t'.join([str(x) for x in vec]) + \"\\n\")\n",
4766 |         "out_v.close()\n",
4767 |         "out_m.close()"
4768 |       ],
4769 |       "execution_count": null,
4770 |       "outputs": []
4771 |     },
4772 |     {
4773 |       "cell_type": "code",
4774 |       "metadata": {
4775 |         "id": "ieKdL5TbmaAI",
4776 |         "colab_type": "code",
4777 |         "colab": {}
4778 |       },
4779 |       "source": [
4780 |         "try:\n",
4781 |         "  from google.colab import files\n",
4782 |         "except ImportError:\n",
4783 |         "   pass\n",
4784 |         "else:\n",
4785 |         "  files.download('vecs.tsv')\n",
4786 |         "  files.download('meta.tsv')"
4787 |       ],
4788 |       "execution_count": null,
4789 |       "outputs": []
4790 |     },
4791 |     {
4792 |       "cell_type": "code",
4793 |       "metadata": {
4794 |         "id": "X8sWuqm6lXL6",
4795 |         "colab_type": "code",
4796 |         "colab": {}
4797 |       },
4798 |       "source": [
4799 |         ""
4800 |       ],
4801 |       "execution_count": null,
4802 |       "outputs": []
4803 |     }
4804 |   ]
4805 | }


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